paulo037/starcoder · Datasets at Hugging Face

max_stars_repo_path stringlengths 4 237	max_stars_repo_name stringlengths 6 117	max_stars_count int64 0 95.2k	id stringlengths 1 7	content stringlengths 12 593k	input_ids listlengths 7 549k
nbgrader/tests/preprocessors/test_deduplicateids.py	FrattisUC/nbgrader	1,116	1601132	<filename>nbgrader/tests/preprocessors/test_deduplicateids.py import pytest from nbformat.v4 import new_notebook from ...preprocessors import DeduplicateIds from .base import BaseTestPreprocessor from .. import ( create_grade_cell, create_solution_cell, create_locked_cell) @pytest.fixture def preprocessor(): pp = DeduplicateIds() return pp class TestDeduplicateIds(BaseTestPreprocessor): def test_duplicate_grade_cell(self, preprocessor): cell1 = create_grade_cell("hello", "code", "foo", 2) cell2 = create_grade_cell("goodbye", "code", "foo", 2) nb = new_notebook() nb.cells.append(cell1) nb.cells.append(cell2) nb, resources = preprocessor.preprocess(nb, {}) assert nb.cells[0].metadata.nbgrader == {} assert nb.cells[1].metadata.nbgrader != {} def test_duplicate_solution_cell(self, preprocessor): cell1 = create_solution_cell("hello", "code", "foo") cell2 = create_solution_cell("goodbye", "code", "foo") nb = new_notebook() nb.cells.append(cell1) nb.cells.append(cell2) nb, resources = preprocessor.preprocess(nb, {}) assert nb.cells[0].metadata.nbgrader == {} assert nb.cells[1].metadata.nbgrader != {} def test_duplicate_locked_cell(self, preprocessor): cell1 = create_locked_cell("hello", "code", "foo") cell2 = create_locked_cell("goodbye", "code", "foo") nb = new_notebook() nb.cells.append(cell1) nb.cells.append(cell2) nb, resources = preprocessor.preprocess(nb, {}) assert nb.cells[0].metadata.nbgrader == {} assert nb.cells[1].metadata.nbgrader != {}	[ 1, 529, 9507, 29958, 9877, 629, 1664, 29914, 21150, 29914, 1457, 5014, 943, 29914, 1688, 29918, 7176, 786, 5926, 4841, 29889, 2272, 13, 5215, 11451, 1688, 13, 13, 3166, 302, 29890, 4830, 29889, 29894, 29946, 1053, 716, 29918, 1333, 19273, 13, 13, 3166, 2023, 1457, 5014, 943, 1053, 360, 287, 786, 5926, 21943, 13, 3166, 869, 3188, 1053, 7399, 3057, 6572, 26482, 13, 3166, 6317, 1053, 313, 13, 1678, 1653, 29918, 8228, 29918, 3729, 29892, 1653, 29918, 2929, 918, 29918, 3729, 29892, 1653, 29918, 29113, 29918, 3729, 29897, 13, 13, 13, 29992, 2272, 1688, 29889, 7241, 15546, 13, 1753, 758, 26482, 7295, 13, 1678, 6499, 353, 360, 287, 786, 5926, 21943, 580, 13, 1678, 736, 6499, 13, 13, 13, 1990, 4321, 29928, 287, 786, 5926, 21943, 29898, 5160, 3057, 6572, 26482, 1125, 13, 13, 1678, 822, 1243, 29918, 20908, 5926, 29918, 8228, 29918, 3729, 29898, 1311, 29892, 758, 26482, 1125, 13, 4706, 3038, 29896, 353, 1653, 29918, 8228, 29918, 3729, 703, 12199, 613, 376, 401, 613, 376, 5431, 613, 29871, 29906, 29897, 13, 4706, 3038, 29906, 353, 1653, 29918, 8228, 29918, 3729, 703, 16773, 26966, 613, 376, 401, 613, 376, 5431, 613, 29871, 29906, 29897, 13, 4706, 302, 29890, 353, 716, 29918, 1333, 19273, 580, 13, 4706, 302, 29890, 29889, 3729, 29879, 29889, 4397, 29898, 3729, 29896, 29897, 13, 4706, 302, 29890, 29889, 3729, 29879, 29889, 4397, 29898, 3729, 29906, 29897, 13, 13, 4706, 302, 29890, 29892, 7788, 353, 758, 26482, 29889, 1457, 5014, 29898, 9877, 29892, 426, 1800, 13, 13, 4706, 4974, 302, 29890, 29889, 3729, 29879, 29961, 29900, 1822, 19635, 29889, 9877, 629, 1664, 1275, 6571, 13, 4706, 4974, 302, 29890, 29889, 3729, 29879, 29961, 29896, 1822, 19635, 29889, 9877, 629, 1664, 2804, 6571, 13, 13, 1678, 822, 1243, 29918, 20908, 5926, 29918, 2929, 918, 29918, 3729, 29898, 1311, 29892, 758, 26482, 1125, 13, 4706, 3038, 29896, 353, 1653, 29918, 2929, 918, 29918, 3729, 703, 12199, 613, 376, 401, 613, 376, 5431, 1159, 13, 4706, 3038, 29906, 353, 1653, 29918, 2929, 918, 29918, 3729, 703, 16773, 26966, 613, 376, 401, 613, 376, 5431, 1159, 13, 4706, 302, 29890, 353, 716, 29918, 1333, 19273, 580, 13, 4706, 302, 29890, 29889, 3729, 29879, 29889, 4397, 29898, 3729, 29896, 29897, 13, 4706, 302, 29890, 29889, 3729, 29879, 29889, 4397, 29898, 3729, 29906, 29897, 13, 13, 4706, 302, 29890, 29892, 7788, 353, 758, 26482, 29889, 1457, 5014, 29898, 9877, 29892, 426, 1800, 13, 13, 4706, 4974, 302, 29890, 29889, 3729, 29879, 29961, 29900, 1822, 19635, 29889, 9877, 629, 1664, 1275, 6571, 13, 4706, 4974, 302, 29890, 29889, 3729, 29879, 29961, 29896, 1822, 19635, 29889, 9877, 629, 1664, 2804, 6571, 13, 13, 1678, 822, 1243, 29918, 20908, 5926, 29918, 29113, 29918, 3729, 29898, 1311, 29892, 758, 26482, 1125, 13, 4706, 3038, 29896, 353, 1653, 29918, 29113, 29918, 3729, 703, 12199, 613, 376, 401, 613, 376, 5431, 1159, 13, 4706, 3038, 29906, 353, 1653, 29918, 29113, 29918, 3729, 703, 16773, 26966, 613, 376, 401, 613, 376, 5431, 1159, 13, 4706, 302, 29890, 353, 716, 29918, 1333, 19273, 580, 13, 4706, 302, 29890, 29889, 3729, 29879, 29889, 4397, 29898, 3729, 29896, 29897, 13, 4706, 302, 29890, 29889, 3729, 29879, 29889, 4397, 29898, 3729, 29906, 29897, 13, 13, 4706, 302, 29890, 29892, 7788, 353, 758, 26482, 29889, 1457, 5014, 29898, 9877, 29892, 426, 1800, 13, 13, 4706, 4974, 302, 29890, 29889, 3729, 29879, 29961, 29900, 1822, 19635, 29889, 9877, 629, 1664, 1275, 6571, 13, 4706, 4974, 302, 29890, 29889, 3729, 29879, 29961, 29896, 1822, 19635, 29889, 9877, 629, 1664, 2804, 6571, 13, 2 ]
groups/models.py	SJTU-Plus/GroupPlus	47	1600274	from django.db import models # Create your models here. class Category(models.Model): name = models.CharField(max_length=255) parent = models.ForeignKey('self', on_delete=models.SET_NULL, null=True, blank=True) last_modified = models.DateTimeField(auto_now=True) def __str__(self): if self.parent: return f"{self.parent.name} / {self.name}" else: return f"ROOT / {self.name}" class Group(models.Model): name = models.CharField(max_length=255) number = models.CharField(max_length=255, null=True, unique=True) desc = models.CharField(max_length=1024, null=True, blank=True) category = models.ForeignKey(Category, on_delete=models.SET_NULL, null=True) last_modified = models.DateTimeField(auto_now=True) bot_enabled = models.BooleanField(default=False) vacancy = models.BooleanField(default=True) flag = models.IntegerField(default=0, null=False) def __str__(self): return f"{self.category.name} / ({self.name}, {self.number})" class Website(models.Model): name = models.CharField(max_length=255) url = models.CharField(max_length=255) desc = models.CharField(max_length=1024, null=True, blank=True) category = models.ForeignKey(Category, on_delete=models.SET_NULL, null=True) last_modified = models.DateTimeField(auto_now=True) def __str__(self): return f"{self.category.name} / ({self.name}, {self.url})"	[ 1, 515, 9557, 29889, 2585, 1053, 4733, 13, 13, 13, 29937, 6204, 596, 4733, 1244, 29889, 13, 1990, 17943, 29898, 9794, 29889, 3195, 1125, 13, 1678, 1024, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29945, 29945, 29897, 13, 1678, 3847, 353, 4733, 29889, 27755, 2558, 877, 1311, 742, 373, 29918, 8143, 29922, 9794, 29889, 10490, 29918, 10074, 29892, 1870, 29922, 5574, 29892, 9654, 29922, 5574, 29897, 13, 1678, 1833, 29918, 1545, 2164, 353, 4733, 29889, 11384, 3073, 29898, 6921, 29918, 3707, 29922, 5574, 29897, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 565, 1583, 29889, 3560, 29901, 13, 9651, 736, 285, 29908, 29912, 1311, 29889, 3560, 29889, 978, 29913, 847, 426, 1311, 29889, 978, 5038, 13, 4706, 1683, 29901, 13, 9651, 736, 285, 29908, 21289, 847, 426, 1311, 29889, 978, 5038, 13, 13, 13, 1990, 6431, 29898, 9794, 29889, 3195, 1125, 13, 1678, 1024, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29945, 29945, 29897, 13, 1678, 1353, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29945, 29945, 29892, 1870, 29922, 5574, 29892, 5412, 29922, 5574, 29897, 13, 1678, 5153, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29896, 29900, 29906, 29946, 29892, 1870, 29922, 5574, 29892, 9654, 29922, 5574, 29897, 13, 1678, 7663, 353, 4733, 29889, 27755, 2558, 29898, 10900, 29892, 373, 29918, 8143, 29922, 9794, 29889, 10490, 29918, 10074, 29892, 1870, 29922, 5574, 29897, 13, 1678, 1833, 29918, 1545, 2164, 353, 4733, 29889, 11384, 3073, 29898, 6921, 29918, 3707, 29922, 5574, 29897, 13, 1678, 9225, 29918, 17590, 353, 4733, 29889, 18146, 3073, 29898, 4381, 29922, 8824, 29897, 13, 1678, 11757, 6906, 353, 4733, 29889, 18146, 3073, 29898, 4381, 29922, 5574, 29897, 13, 1678, 7353, 353, 4733, 29889, 7798, 3073, 29898, 4381, 29922, 29900, 29892, 1870, 29922, 8824, 29897, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 285, 29908, 29912, 1311, 29889, 7320, 29889, 978, 29913, 847, 21313, 1311, 29889, 978, 1118, 426, 1311, 29889, 4537, 1800, 29908, 13, 13, 13, 1990, 13253, 29898, 9794, 29889, 3195, 1125, 13, 1678, 1024, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29945, 29945, 29897, 13, 1678, 3142, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29945, 29945, 29897, 13, 1678, 5153, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29896, 29900, 29906, 29946, 29892, 1870, 29922, 5574, 29892, 9654, 29922, 5574, 29897, 13, 1678, 7663, 353, 4733, 29889, 27755, 2558, 29898, 10900, 29892, 373, 29918, 8143, 29922, 9794, 29889, 10490, 29918, 10074, 29892, 1870, 29922, 5574, 29897, 13, 1678, 1833, 29918, 1545, 2164, 353, 4733, 29889, 11384, 3073, 29898, 6921, 29918, 3707, 29922, 5574, 29897, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 285, 29908, 29912, 1311, 29889, 7320, 29889, 978, 29913, 847, 21313, 1311, 29889, 978, 1118, 426, 1311, 29889, 2271, 1800, 29908, 13, 2 ]
poker/poker_base/prob.py	chitty/poker_base	0	106016	<reponame>chitty/poker_base<gh_stars>0 from poker import hand_rank from deal import deal hand_names = ["High Card", "Pair", "Two Pair", "3 of a Kind", "Straight", "Flush", "Full House", "4 of a Kind", "Straight Flush"] def hand_percentage(n=7001000): """Sample n random hands and print a table of percentages for each type of hand. Args: n: int indicates total number of hands to be dealt. """ counts = [0]9 for i in range(n/10): for hand in deal(10): ranking = hand_rank(hand)[0] counts[ranking] += 1 for i in reversed(range(9)): print "%14s: %6.3f %%" % (hand_names[i], 100.*counts[i]/n) hand_percentage(700000)	[ 1, 529, 276, 1112, 420, 29958, 305, 986, 29891, 29914, 29886, 17933, 29918, 3188, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 11293, 261, 1053, 1361, 29918, 10003, 13, 3166, 5376, 1053, 5376, 13, 13, 3179, 29918, 7039, 353, 6796, 16382, 9160, 613, 376, 20547, 613, 376, 13985, 349, 1466, 613, 376, 29941, 310, 263, 13187, 613, 376, 855, 336, 523, 613, 13, 795, 376, 8754, 1878, 613, 376, 13658, 5619, 613, 376, 29946, 310, 263, 13187, 613, 376, 855, 336, 523, 2379, 1878, 3108, 13, 13, 13, 1753, 1361, 29918, 25376, 482, 29898, 29876, 29922, 29955, 29900, 29900, 29930, 29896, 29900, 29900, 29900, 1125, 13, 1678, 9995, 17708, 302, 4036, 6567, 322, 1596, 263, 1591, 310, 10151, 1179, 363, 1269, 1134, 13, 539, 310, 1361, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 4706, 302, 29901, 938, 14088, 3001, 1353, 310, 6567, 304, 367, 316, 1997, 29889, 13, 1678, 9995, 13, 1678, 18139, 353, 518, 29900, 14178, 29929, 13, 1678, 363, 474, 297, 3464, 29898, 29876, 29914, 29896, 29900, 1125, 13, 4706, 363, 1361, 297, 5376, 29898, 29896, 29900, 1125, 13, 9651, 24034, 353, 1361, 29918, 10003, 29898, 3179, 9601, 29900, 29962, 13, 9651, 18139, 29961, 661, 9292, 29962, 4619, 29871, 29896, 13, 1678, 363, 474, 297, 18764, 287, 29898, 3881, 29898, 29929, 22164, 13, 4706, 1596, 11860, 29896, 29946, 29879, 29901, 1273, 29953, 29889, 29941, 29888, 17806, 29908, 1273, 313, 3179, 29918, 7039, 29961, 29875, 1402, 29871, 29896, 29900, 29900, 5575, 2798, 29879, 29961, 29875, 16261, 29876, 29897, 13, 13, 3179, 29918, 25376, 482, 29898, 29955, 29900, 29900, 29900, 29900, 29900, 29897, 13, 2 ]
advanced lane tracking pipeline.py	mrpalazz/CarND-Advanced-Lane-Lines	0	35664	# -- coding: utf-8 -- """ Created on Wed Nov 22 21:44:55 2017 @author: Mike """ import numpy as np import cv2 import glob import pickle import matplotlib.pyplot as plt from matplotlib.pyplot import * import os from scipy import stats from moviepy.editor import VideoFileClip from IPython.display import HTML from camera_calibration import calibrate_camera, distortion_correct from sobel_library import abs_sobel_image, sobel_mag_thresh, sobel_dir_thresh from collections import deque run_camera_cal = 1 #HLS Color space threshold filter def color_binary(img, colorspace, color_thresh): if colorspace == 'HLS': hls = cv2.cvtColor(img, cv2.COLOR_RGB2HLS) H = hls[:,:,0] L = hls[:,:,1] S = hls[:,:,2] binary_output = np.zeros_like(S) binary_output[((S > color_thresh [0]) & (S < color_thresh [1]))] = 1 return binary_output #combine the thresholds for the color map and the gradient threshold # send in an image with binary color scheme and binary gradient scheme def bin_color_gradient(binary_gradient , binary_color): binary_output = np.zeros_like(binary_gradient) binary_output[((binary_gradient == 1) \| (binary_color == 1))] = 1 # polys = np.array([[(350,720),(580,500),(800,500),(1000,720)]], dtype = np.int32) polys = np.array([[(350,720),(580,500),(800,500),(900,720)]], dtype = np.int32) cv2.fillPoly(binary_output, polys, 0, lineType=8, shift=0) return binary_output #Function to warp images to birds eye view def warp(img,source_points, destination_points): img_shape = (img.shape[1], img.shape[0]) src = np.float32(source_points) dst = np.float32(destination_points) M = cv2.getPerspectiveTransform(src,dst) Minv = cv2.getPerspectiveTransform(dst,src) warped = cv2.warpPerspective(img,M,img_shape, flags = cv2.INTER_LINEAR) return warped, M, Minv global left_fit_deque global right_fit_deque deque_size = 3 left_fit_deque = [] left_fit_deque = deque(maxlen = deque_size) right_fit_deque = [] right_fit_deque = deque(maxlen = deque_size) class Lane(): def __init__(self): self.llm = [] self.rlm = [] mylane = Lane() coeffs = [] C0_L = np.zeros(deque_size) C1_L = np.zeros(deque_size) C2_L = np.zeros(deque_size) C0_R = np.zeros(deque_size) C1_R = np.zeros(deque_size) C2_R = np.zeros(deque_size) def polyfit(warped_image, orig_img, Minv): #def polyfit(warped_image): # print('Initiating line overlay onto binary warped image') # Assuming you have created a warped binary image called "binary_warped" # Take a histogram of the bottom half of the image histogram = np.sum(warped_image[warped_image.shape[0]//2:,:], axis=0) #histogram = np.sum(binary_warped[binary_warped.shape[0]/2:,:], axis=0) # Create an output image to draw on and visualize the result out_img = np.dstack((warped_image, warped_image, warped_image))255 # Find the peak of the left and right halves of the histogram # These will be the starting point for the left and right lines midpoint = np.int(histogram.shape[0]/2) leftx_base = np.argmax(histogram[:midpoint]) rightx_base = np.argmax(histogram[midpoint:]) + midpoint # Choose the number of sliding windows nwindows = 9 # Set height of windows window_height = np.int(warped_image.shape[0]/nwindows) # Identify the x and y positions of all nonzero pixels in the image nonzero = warped_image.nonzero() nonzeroy = np.array(nonzero[0]) nonzerox = np.array(nonzero[1]) # Current positions to be updated for each window leftx_current = leftx_base rightx_current = rightx_base # Set the width of the windows +/- margin margin = 100 # Set minimum number of pixels found to recenter window minpix = 50 # Create empty lists to receive left and right lane pixel indices left_lane_inds = [] right_lane_inds = [] # Step through the windows one by one for window in range(nwindows): # Identify window boundaries in x and y (and right and left) win_y_low = warped_image.shape[0] - (window+1)window_height win_y_high = warped_image.shape[0] - windowwindow_height win_xleft_low = leftx_current - margin win_xleft_high = leftx_current + margin win_xright_low = rightx_current - margin win_xright_high = rightx_current + margin # Draw the windows on the visualization image cv2.rectangle(out_img,(win_xleft_low,win_y_low),(win_xleft_high,win_y_high), (0,255,0), 2) cv2.rectangle(out_img,(win_xright_low,win_y_low),(win_xright_high,win_y_high), (0,255,0), 2) # Identify the nonzero pixels in x and y within the window good_left_inds = ((nonzeroy >= win_y_low) & (nonzeroy < win_y_high) & (nonzerox >= win_xleft_low) & (nonzerox < win_xleft_high)).nonzero()[0] good_right_inds = ((nonzeroy >= win_y_low) & (nonzeroy < win_y_high) & (nonzerox >= win_xright_low) & (nonzerox < win_xright_high)).nonzero()[0] # Append these indices to the lists left_lane_inds.append(good_left_inds) right_lane_inds.append(good_right_inds) # If you found > minpix pixels, recenter next window on their mean position if len(good_left_inds) > minpix: leftx_current = np.int(np.mean(nonzerox[good_left_inds])) if len(good_right_inds) > minpix: rightx_current = np.int(np.mean(nonzerox[good_right_inds])) # Concatenate the arrays of indices left_lane_inds = np.concatenate(left_lane_inds) right_lane_inds = np.concatenate(right_lane_inds) # Extract left and right line pixel positions leftx = nonzerox[left_lane_inds] lefty = nonzeroy[left_lane_inds] rightx = nonzerox[right_lane_inds] righty = nonzeroy[right_lane_inds] # Fit a second order polynomial to each left_fit = np.polyfit(lefty, leftx, 2) #Store the left poly coefficient in a deque for later use left_fit_deque.append(left_fit) # Take the deque of polynomial data and extract the three coefficients, avearge them for stability for idx, coeffs in enumerate(left_fit_deque): C0_L[idx] = coeffs[0] C1_L[idx] = coeffs[1] C2_L[idx] = coeffs[2] average_C0_L = np.mean(C0_L) average_C1_L = np.mean(C1_L) average_C2_L = np.mean(C2_L) left_fit[0] = average_C0_L left_fit[1] = average_C1_L left_fit[2] = average_C2_L right_fit = np.polyfit(righty, rightx, 2) #Store the left poly coefficient in a deque for later use right_fit_deque.append(right_fit) # Take the deque of polynomial data and extract the three coefficients, avearge them for stability for idx, coeffs in enumerate(right_fit_deque): C0_R[idx] = coeffs[0] C1_R[idx] = coeffs[1] C2_R[idx] = coeffs[2] average_C0_R = np.mean(C0_R) average_C1_R = np.mean(C1_R) average_C2_R = np.mean(C2_R) right_fit[0] = average_C0_R right_fit[1] = average_C1_R right_fit[2] = average_C2_R # Generate x and y values for plotting ploty = np.linspace(0, warped_image.shape[0]-1, warped_image.shape[0] ) left_fitx = left_fit[0]ploty*2 + left_fit[1]ploty + left_fit[2] # left_fitx = left_fit_deque[0]ploty2 + left_fit_deque[1]ploty + left_fit[2] right_fitx = right_fit[0]ploty2 + right_fit[1]ploty + right_fit[2] out_img[nonzeroy[left_lane_inds], nonzerox[left_lane_inds]] = [255, 0, 0] out_img[nonzeroy[right_lane_inds], nonzerox[right_lane_inds]] = [0, 0, 255] # plt.figure(figsize = (20,10)) # plt.imshow(out_img) # plt.plot(left_fitx, ploty, color='blue') # plt.plot(right_fitx, ploty, color='red') # plt.xlim(0, 1280) # plt.ylim(720, 0) # plt.show() # Create an image to draw the lines on warp_zero = np.zeros_like(warped_image).astype(np.uint8) color_warp = np.dstack((warp_zero, warp_zero, warp_zero)) # Recast the x and y points into usable format for cv2.fillPoly() pts_left = np.array([np.transpose(np.vstack([left_fitx, ploty]))]) pts_right = np.array([np.flipud(np.transpose(np.vstack([right_fitx, ploty])))]) pts = np.hstack((pts_left, pts_right)) # Draw the lane onto the warped blank image cv2.fillPoly(color_warp, np.int_([pts]), (0,255, 0)) # ============================================================================= # In this section we calculate the radius of curvature for the warped lines # ============================================================================= # Define y-value where we want radius of curvature # I'll choose the maximum y-value, corresponding to the bottom of the image y_eval = np.max(ploty) left_curverad = ((1 + (2left_fit[0]y_eval + left_fit[1])2)1.5) / np.absolute(2left_fit[0]) right_curverad = ((1 + (2right_fit[0]y_eval + right_fit[1])2)1.5) / np.absolute(2right_fit[0]) # print(left_curverad, right_curverad) # Example values: 1926.74 1908.48 # Define conversions in x and y from pixels space to meters ym_per_pix = 30/720 # meters per pixel in y dimension xm_per_pix = 3.7/700 # meters per pixel in x dimension # Fit new polynomials to x,y in world space left_fit_cr = np.polyfit(plotyym_per_pix, left_fitxxm_per_pix, 2) right_fit_cr = np.polyfit(plotyym_per_pix, right_fitxxm_per_pix, 2) # Calculate the new radii of curvature left_curverad = ((1 + (2left_fit_cr[0]y_evalym_per_pix + left_fit_cr[1])2)1.5) / np.absolute(2left_fit_cr[0]) right_curverad = ((1 + (2right_fit_cr[0]y_evalym_per_pix + right_fit_cr[1])2)1.5) / np.absolute(2right_fit_cr[0]) # Now our radius of curvature is in meters # print(left_curverad, 'm', right_curverad, 'm') # Example values: 632.1 m 626.2 m # ============================================================================= # Calculate the position from center for the vehicle relative to the left lane # ============================================================================= # Warp the blank back to original image space using inverse perspective matrix (Minv) newwarp = cv2.warpPerspective(color_warp, Minv, (orig_img.shape[1], orig_img.shape[0])) font = cv2.FONT_HERSHEY_SIMPLEX cv2.putText(newwarp,'Recording: project_video',(10,50), font, 1,(255,0,0),3,cv2.LINE_AA) cv2.putText(newwarp,'Road Radius of curvature: {} km'.format(left_curverad/1000),(10,100), font, 1,(255,0,0),3,cv2.LINE_AA) # ============================================================================= # Add the Section for fitting the radius of curvature to the image # ============================================================================= vehicle_center = newwarp.shape[1]/2 #assuming that the video feed is from veh center y_pixels = np.arange(newwarp.shape[0]-10, newwarp.shape[0]+1) # y_pixels = 719 lx_loc = left_fit_cr[0]y_pixels2+left_fit_cr[1]y_pixels+left_fit_cr[2] rx_loc = right_fit_cr[0]y_pixels2+right_fit_cr[1]y_pixels+right_fit_cr[2] lane_center_pixel = (right_fitx[0] + left_fitx[0])/2 vehicle_offset = (vehicle_center - lane_center_pixel)xm_per_pix # pct_difference = vehicle_offset/ if vehicle_offset > 0: cv2.putText(newwarp,'Ego Vehicle is {} meters right of lane center'.format(vehicle_offset),(10,150), font, 1,(255,0,0),3,cv2.LINE_AA) if vehicle_offset < 0: cv2.putText(newwarp,'Ego Vehicle is {} meters left of lane center'.format(vehicle_offset),(10,150), font, 1,(255,0,0),3,cv2.LINE_AA) if vehicle_offset == 0: cv2.putText(newwarp,'Ego Vehicle is directly on center!! Great job!',(10,150), font, 1,(255,0,0),3,cv2.LINE_AA) # ============================================================================= # This plots the lane line data for debugging vehicle center # ============================================================================= # plt.plot(lx_loc,y_pixels,'x') # plt.title('Left Lane Line Pixel Locations') # plt.show() # # plt.plot(rx_loc,y_pixels,'x') # plt.title('Right Lane Line Pixel Locations') # plt.show() # # plt.plot(left_fitx,'x') # plt.plot(right_fitx,'o') # plt.title('Left Lane and Right Lane overlay, horizontal dir i "y" in image space') # plt.show() # # plt.figure(figsize = (15,15)) # plt.imshow(newwarp) # plt.show() # # Combine the result with the original image #img = cv2.imread(img) img = cv2.cvtColor(orig_img,cv2.COLOR_BGR2RGB) # result = cv2.addWeighted(orig_img, 1, newwarp, 0.3, 0) result = cv2.addWeighted(img, 1, newwarp, 0.3, 0) #This is the final overlaid image with the texxto n it # plt.figure(figsize = (10,10)) # plt.title('final result') # plt.imshow(result) # plt.show() return result, left_fitx, right_fitx, ploty if run_camera_cal == 1: #--------------------- CAll functions and initiate camera cal and distortion corrrect----------------------- #This section calls the camera calibration function # Call the function to parse through the calibration image array and return #the base object point, corners and a grascale image for reference size #**** TURN THIS ON LATER!!!!!! when you want to calibrate the camera # Make a list of calibration images image_dir = "C:\\Users\\mrpal\\Documents\\Projects\\CarND-Advanced-Lane-Lines\\camera_cal\\" images = os.listdir('camera_cal') corners, imgpoints, objpoints, gray = calibrate_camera(image_dir, images) ##Generate the distortion coefficients and camera matrix, trans vector and rot vector print('Generating distortion coefficients and camera matrix parameters') ret, mtx, dist, rvecs, tvecs = cv2.calibrateCamera(objpoints, imgpoints,gray.shape[::-1], None, None) #Undistort the images in the test_images folder image_dir = "C:\\Users\\mrpal\\Documents\\Projects\\CarND-Advanced-Lane-Lines\\test_images\\" images = os.listdir('test_images') print('Selected image directory is: {} '.format(image_dir)) print('The images in the directory are: {}' .format(images)) distortion_corrected = distortion_correct(image_dir, images, mtx, dist) cv2.destroyAllWindows() #--------------------- CAll functions to initiate a pipeline for image processing---------------------- image_dir = "C:\\Users\\mrpal\\Documents\\Projects\\CarND-Advanced-Lane-Lines\\test_images\\" images = os.listdir('test_images') print('Selected image directory is: {} '.format(image_dir)) print('The images in the directory are: {} \n' .format(images)) #print('The images in the directory are: {} \n' .format(images_new)) sobel_kernel = 9 #mag_thresh = [30,255] #keep it grad_threshold = [50,150] sobel_mag = [0,255] #distortion correct if len(glob.glob('./test_images/Distortion.jpg')) == 0: print('there are no distortion corrected images in the directory, let us create them') distortion_corrected = distortion_correct(image_dir, images, mtx, dist) images = glob.glob('./test_images/Distortion.jpg') def process_image(images): # for idx, fname in enumerate(images): img = cv2.cvtColor(images, cv2.COLOR_BGR2RGB) # img = cv2.cvtColor(images, cv2.COLOR_RGB2BGR) # orig_image = img # img = cv2.imread(fname) # plt.figure(figsize = (20,10)) # plt.imshow(img) # plt.show() #pull in the absolute binary gradient data in X and Y gradx_binary = abs_sobel_image(img,'x',grad_threshold , sobel_kernel) # plt.figure(figsize = (20,10)) # plt.title('Binary Gradient Thresholding in X direction') # plt.imshow(gradx_binary, cmap='gray') # plt.show() grady_binary = abs_sobel_image(img,'y',grad_threshold , sobel_kernel) # plt.figure(figsize = (20,10)) # plt.title('Binary Gradient Thresholding in Y direction') # plt.imshow(grady_binary, cmap='gray') # plt.show() #Calculate the Sobel direction gradient binary threshold dir_binary = sobel_dir_thresh(img, sobel_kernel=15, thresh=(0.6, np.pi/2)) # print(dir_binary.dtype) # plt.figure(figsize = (20,10)) # plt.title('Binary Sobel (Absolute) Gradient Thresholding') # plt.imshow(dir_binary, cmap = 'gray') # mag_binary = sobel_mag_thresh(img, sobel_kernel, mag_thresh= (50, 150)) mag_binary = sobel_mag_thresh(img, sobel_kernel, mag_thresh= (80, 150)) # plt.figure(figsize = (20,10)) # plt.title('Binary Gradient Magnitude Thresholding') # plt.imshow(mag_binary, cmap='gray') # mag_binary #Combine the gradient thresholds into a coherent image, there still may be gaps where color thresholding comes in combined_binary = np.zeros_like(dir_binary) # combined_binary[(gradx_binary == 1) \| ((mag_binary == 1) \| (dir_binary == 1))] = 1 combined_binary[(gradx_binary == 1) \| ((mag_binary == 1) & (dir_binary == 1))] = 1 #combined_binary[((gradx_binary == 1) & (grady_binary == 1)) \| ((mag_binary == 1) & (dir_binary == 1))] = 1 # plt.figure(figsize = (20,10)) # plt.title('Combined Binary Gradient Thresholding (X,Mag,Dir)') # plt.imshow(combined_binary, cmap = 'gray') # plt.show() binary_color = color_binary(img, 'HLS', color_thresh = [80,255]) # binary_color = color_binary(img, 'HLS', color_thresh = [80,180]) # plt.figure(figsize = (20,10)) # plt.title('Binary Color Thresholding in HLS') # plt.imshow(binary_color, cmap = 'gray') # plt.show() #Visualize the overall combined thresholding on the test images color_grad_combined = bin_color_gradient(combined_binary , binary_color) # plt.figure(figsize = (20,10)) # plt.title('Combined color and gradient mag thresholding') # plt.imshow(color_grad_combined, cmap = 'gray') # plt.show() img_size = img.shape offset = 100 src = np.float32([(200, 720), (580, 480), (720, 480), (1050, 720)]) dst = np.float32([(280, 720), (400, 190), (920, 190), (960, 720)]) destination_points = np.float32([[offset, img_size[1]-offset], [img_size[0]-offset, img_size[1]-offset], [img_size[0]-offset, offset], [offset, offset]]) source_points = np.float32(([450,780], [680, 1050], [680,250], [450, 500])) binary_warped, M, Minv = warp(color_grad_combined,src, dst) #warped_image_test = warp(img,source_points, destination_points) # plt.figure(figsize = (20,10)) # plt.imshow(binary_warped, cmap='gray') # plt.show() # # # import numpy as np # plt.figure(figsize = (20,10)) # histogram = np.sum(binary_warped[binary_warped.shape[0]//2:,:], axis=0) # plt.plot(histogram) # plt.show() # #Need the line data to be fed back out out, left_fitx, right_fitx, ploty = polyfit(binary_warped,img, Minv) # out = cv2.cvtColor(out, cv2.COLOR_BGR2RGB) return out #######-------------------------- ##os.system("ffmpeg -i project_video.mp4 -vf fps=15/1 out_%03d.jpg' Test_Video_dir = os.listdir("test_videos/") video_output = 'project_video_output.mp4' clip1 = VideoFileClip("test_videos/project_video.mp4").subclip(13,18) #clip1 = VideoFileClip("test_videos/project_video.mp4") clip = clip1.fl_image(process_image) #NOTE: this function expects color images!! clip.write_videofile(video_output, audio=False) #-------------------------------------------	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 30004, 13, 15945, 19451, 13, 20399, 373, 15050, 2864, 29871, 29906, 29906, 29871, 29906, 29896, 29901, 29946, 29946, 29901, 29945, 29945, 29871, 29906, 29900, 29896, 29955, 30004, 13, 30004, 13, 29992, 8921, 29901, 12828, 30004, 13, 15945, 19451, 13, 30004, 13, 30004, 13, 5215, 12655, 408, 7442, 30004, 13, 5215, 13850, 29906, 30004, 13, 5215, 13149, 30004, 13, 5215, 5839, 280, 30004, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 30004, 13, 3166, 22889, 29889, 2272, 5317, 1053, 334, 30004, 13, 5215, 2897, 30004, 13, 3166, 4560, 2272, 1053, 22663, 30004, 13, 3166, 14064, 2272, 29889, 15204, 1053, 13987, 2283, 29907, 3466, 30004, 13, 3166, 5641, 1656, 29889, 4990, 1053, 4544, 30004, 13, 3166, 10656, 29918, 1052, 26218, 1053, 1208, 4626, 403, 29918, 26065, 29892, 1320, 441, 291, 29918, 15728, 30004, 13, 3166, 577, 6596, 29918, 5258, 1053, 6425, 29918, 578, 6596, 29918, 3027, 29892, 577, 6596, 29918, 11082, 29918, 386, 3781, 29892, 577, 6596, 29918, 3972, 29918, 386, 3781, 30004, 13, 3166, 16250, 1053, 316, 802, 30004, 13, 30004, 13, 3389, 29918, 26065, 29918, 1052, 353, 29871, 29896, 30004, 13, 30004, 13, 29937, 29950, 8547, 9159, 2913, 16897, 4175, 30004, 13, 1753, 2927, 29918, 19541, 29898, 2492, 29892, 11955, 3535, 29892, 2927, 29918, 386, 3781, 1125, 30004, 13, 30004, 13, 1678, 565, 11955, 3535, 1275, 525, 29950, 8547, 2396, 1678, 6756, 13, 4706, 298, 3137, 353, 13850, 29906, 29889, 11023, 29873, 3306, 29898, 2492, 29892, 13850, 29906, 29889, 15032, 1955, 29918, 28212, 29906, 29950, 8547, 8443, 13, 4706, 379, 353, 298, 3137, 7503, 29892, 29901, 29892, 29900, 29962, 30004, 13, 4706, 365, 353, 298, 3137, 7503, 29892, 29901, 29892, 29896, 29962, 30004, 13, 4706, 317, 353, 298, 3137, 7503, 29892, 29901, 29892, 29906, 29962, 30004, 13, 1678, 6756, 13, 1678, 7581, 29918, 4905, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 29903, 8443, 13, 1678, 7581, 29918, 4905, 29961, 3552, 29903, 1405, 2927, 29918, 386, 3781, 518, 29900, 2314, 669, 313, 29903, 529, 2927, 29918, 386, 3781, 518, 29896, 12622, 29962, 353, 29871, 29896, 30004, 13, 1678, 736, 7581, 29918, 4905, 30004, 13, 30004, 13, 30004, 13, 30004, 13, 29937, 17743, 457, 278, 266, 3781, 3361, 363, 278, 2927, 2910, 322, 278, 16030, 16897, 30004, 13, 29937, 3638, 297, 385, 1967, 411, 7581, 2927, 11380, 322, 7581, 16030, 11380, 30004, 13, 1753, 9016, 29918, 2780, 29918, 24970, 29898, 19541, 29918, 24970, 1919, 7581, 29918, 2780, 1125, 30004, 13, 1678, 6756, 13, 1678, 7581, 29918, 4905, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 19541, 29918, 24970, 8443, 13, 1678, 7581, 29918, 4905, 29961, 3552, 19541, 29918, 24970, 1275, 29871, 29896, 29897, 891, 313, 19541, 29918, 2780, 1275, 29871, 29896, 28166, 353, 29871, 29896, 30004, 13, 29937, 1678, 1248, 952, 353, 7442, 29889, 2378, 4197, 15625, 29941, 29945, 29900, 29892, 29955, 29906, 29900, 21336, 29945, 29947, 29900, 29892, 29945, 29900, 29900, 21336, 29947, 29900, 29900, 29892, 29945, 29900, 29900, 21336, 29896, 29900, 29900, 29900, 29892, 29955, 29906, 29900, 4638, 1402, 26688, 353, 7442, 29889, 524, 29941, 29906, 8443, 13, 1678, 1248, 952, 353, 7442, 29889, 2378, 4197, 15625, 29941, 29945, 29900, 29892, 29955, 29906, 29900, 21336, 29945, 29947, 29900, 29892, 29945, 29900, 29900, 21336, 29947, 29900, 29900, 29892, 29945, 29900, 29900, 21336, 29929, 29900, 29900, 29892, 29955, 29906, 29900, 4638, 1402, 26688, 353, 7442, 29889, 524, 29941, 29906, 8443, 13, 30004, 13, 1678, 13850, 29906, 29889, 5589, 7713, 29891, 29898, 19541, 29918, 4905, 29892, 1248, 952, 29892, 29871, 29900, 29892, 1196, 1542, 29922, 29947, 29892, 9500, 29922, 29900, 29897, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 736, 7581, 29918, 4905, 30004, 13, 30004, 13, 29937, 6678, 304, 1370, 29886, 4558, 304, 17952, 10977, 1776, 30004, 13, 1753, 1370, 29886, 29898, 2492, 29892, 4993, 29918, 9748, 29892, 12551, 29918, 9748, 1125, 30004, 13, 1678, 10153, 29918, 12181, 353, 313, 2492, 29889, 12181, 29961, 29896, 1402, 10153, 29889, 12181, 29961, 29900, 2314, 30004, 13, 1678, 4765, 353, 7442, 29889, 7411, 29941, 29906, 29898, 4993, 29918, 9748, 8443, 13, 1678, 29743, 353, 7442, 29889, 7411, 29941, 29906, 29898, 23848, 29918, 9748, 8443, 13, 1678, 341, 353, 13850, 29906, 29889, 657, 15136, 12645, 13372, 29898, 4351, 29892, 22992, 8443, 13, 1678, 3080, 29894, 353, 13850, 29906, 29889, 657, 15136, 12645, 13372, 29898, 22992, 29892, 4351, 8443, 13, 1678, 1370, 9795, 353, 13850, 29906, 29889, 4495, 29886, 15136, 12645, 29898, 2492, 29892, 29924, 29892, 2492, 29918, 12181, 29892, 13449, 353, 13850, 29906, 29889, 23845, 29918, 18521, 1718, 8443, 13, 1678, 736, 1370, 9795, 29892, 341, 29892, 3080, 29894, 30004, 13, 30004, 13, 30004, 13, 10945, 2175, 29918, 9202, 29918, 311, 802, 30004, 13, 10945, 1492, 29918, 9202, 29918, 311, 802, 30004, 13, 311, 802, 29918, 2311, 353, 29871, 29941, 30004, 13, 1563, 29918, 9202, 29918, 311, 802, 353, 5159, 30004, 13, 1563, 29918, 9202, 29918, 311, 802, 353, 316, 802, 29898, 3317, 2435, 353, 316, 802, 29918, 2311, 8443, 13, 1266, 29918, 9202, 29918, 311, 802, 353, 5159, 30004, 13, 1266, 29918, 9202, 29918, 311, 802, 353, 316, 802, 29898, 3317, 2435, 353, 316, 802, 29918, 2311, 8443, 13, 30004, 13, 1990, 23841, 7295, 30004, 13, 1678, 6756, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 30004, 13, 4706, 6756, 13, 4706, 1583, 29889, 645, 29885, 353, 5159, 30004, 13, 4706, 1583, 29889, 2096, 29885, 353, 5159, 30004, 13, 4706, 6756, 13, 1357, 25821, 353, 23841, 580, 259, 6756, 13, 1111, 12352, 29879, 353, 5159, 30004, 13, 29907, 29900, 29918, 29931, 353, 7442, 29889, 3298, 359, 29898, 311, 802, 29918, 2311, 8443, 13, 29907, 29896, 29918, 29931, 353, 7442, 29889, 3298, 359, 29898, 311, 802, 29918, 2311, 8443, 13, 29907, 29906, 29918, 29931, 353, 7442, 29889, 3298, 359, 29898, 311, 802, 29918, 2311, 8443, 13, 29907, 29900, 29918, 29934, 353, 7442, 29889, 3298, 359, 29898, 311, 802, 29918, 2311, 8443, 13, 29907, 29896, 29918, 29934, 353, 7442, 29889, 3298, 359, 29898, 311, 802, 29918, 2311, 8443, 13, 29907, 29906, 29918, 29934, 353, 7442, 29889, 3298, 359, 29898, 311, 802, 29918, 2311, 8443, 13, 30004, 13, 30004, 13, 1753, 15680, 9202, 29898, 4495, 9795, 29918, 3027, 29892, 1677, 29918, 2492, 29892, 3080, 29894, 1125, 30004, 13, 29937, 1753, 15680, 9202, 29898, 4495, 9795, 29918, 3027, 1125, 30004, 13, 29937, 1678, 1596, 877, 797, 4812, 1218, 1196, 27292, 11480, 7581, 1370, 9795, 1967, 1495, 30004, 13, 1678, 396, 17090, 366, 505, 2825, 263, 1370, 9795, 7581, 1967, 2000, 376, 19541, 29918, 4495, 9795, 19451, 13, 1678, 396, 11190, 263, 9825, 13342, 310, 278, 5970, 4203, 310, 278, 1967, 30004, 13, 1678, 9825, 13342, 353, 7442, 29889, 2083, 29898, 4495, 9795, 29918, 3027, 29961, 4495, 9795, 29918, 3027, 29889, 12181, 29961, 29900, 29962, 458, 29906, 29901, 29892, 29901, 1402, 9685, 29922, 29900, 8443, 13, 1678, 396, 29882, 391, 13342, 353, 7442, 29889, 2083, 29898, 19541, 29918, 4495, 9795, 29961, 19541, 29918, 4495, 9795, 29889, 12181, 29961, 29900, 16261, 29906, 29901, 29892, 29901, 1402, 9685, 29922, 29900, 8443, 13, 1678, 396, 6204, 385, 1962, 1967, 304, 4216, 373, 322, 29871, 7604, 675, 278, 1121, 30004, 13, 1678, 714, 29918, 2492, 353, 7442, 29889, 29881, 1429, 3552, 4495, 9795, 29918, 3027, 29892, 1370, 9795, 29918, 3027, 29892, 1370, 9795, 29918, 3027, 876, 29930, 29906, 29945, 29945, 30004, 13, 1678, 396, 10987, 278, 19224, 310, 278, 2175, 322, 1492, 8870, 1960, 310, 278, 9825, 13342, 30004, 13, 1678, 396, 4525, 674, 367, 278, 6257, 1298, 363, 278, 2175, 322, 1492, 3454, 30004, 13, 1678, 7145, 3149, 353, 7442, 29889, 524, 29898, 29882, 391, 13342, 29889, 12181, 29961, 29900, 16261, 29906, 8443, 13, 1678, 2175, 29916, 29918, 3188, 353, 7442, 29889, 1191, 3317, 29898, 29882, 391, 13342, 7503, 6563, 3149, 2314, 30004, 13, 1678, 1492, 29916, 29918, 3188, 353, 7442, 29889, 1191, 3317, 29898, 29882, 391, 13342, 29961, 6563, 3149, 29901, 2314, 718, 7145, 3149, 30004, 13, 1678, 6756, 13, 1678, 396, 14542, 852, 278, 1353, 310, 2243, 4821, 5417, 30004, 13, 1678, 302, 10499, 353, 29871, 29929, 30004, 13, 1678, 396, 3789, 3171, 310, 5417, 30004, 13, 1678, 3474, 29918, 3545, 353, 7442, 29889, 524, 29898, 4495, 9795, 29918, 3027, 29889, 12181, 29961, 29900, 16261, 29876, 10499, 8443, 13, 1678, 396, 13355, 1598, 278, 921, 322, 343, 11909, 310, 599, 1661, 9171, 17036, 297, 278, 1967, 30004, 13, 1678, 1661, 9171, 353, 1370, 9795, 29918, 3027, 29889, 5464, 9171, 26471, 13, 1678, 1661, 9171, 29891, 353, 7442, 29889, 2378, 29898, 5464, 9171, 29961, 29900, 2314, 30004, 13, 1678, 1661, 9171, 29916, 353, 7442, 29889, 2378, 29898, 5464, 9171, 29961, 29896, 2314, 30004, 13, 1678, 396, 9626, 11909, 304, 367, 4784, 363, 1269, 3474, 30004, 13, 1678, 2175, 29916, 29918, 3784, 353, 2175, 29916, 29918, 3188, 30004, 13, 1678, 1492, 29916, 29918, 3784, 353, 1492, 29916, 29918, 3188, 30004, 13, 1678, 396, 3789, 278, 2920, 310, 278, 5417, 718, 24028, 5906, 30004, 13, 1678, 5906, 353, 29871, 29896, 29900, 29900, 30004, 13, 1678, 396, 3789, 9212, 1353, 310, 17036, 1476, 304, 1162, 5893, 3474, 30004, 13, 1678, 1375, 29886, 861, 353, 29871, 29945, 29900, 30004, 13, 1678, 396, 6204, 4069, 8857, 304, 7150, 2175, 322, 1492, 301, 1662, 15526, 16285, 30004, 13, 1678, 2175, 29918, 25821, 29918, 12772, 353, 5159, 30004, 13, 1678, 1492, 29918, 25821, 29918, 12772, 353, 5159, 30004, 13, 30004, 13, 1678, 396, 16696, 1549, 278, 5417, 697, 491, 697, 30004, 13, 1678, 363, 3474, 297, 3464, 29898, 29876, 10499, 1125, 30004, 13, 4706, 396, 13355, 1598, 3474, 24371, 297, 921, 322, 343, 313, 392, 1492, 322, 2175, 8443, 13, 4706, 5401, 29918, 29891, 29918, 677, 353, 1370, 9795, 29918, 3027, 29889, 12181, 29961, 29900, 29962, 448, 313, 7165, 29974, 29896, 11877, 7165, 29918, 3545, 30004, 13, 4706, 5401, 29918, 29891, 29918, 9812, 353, 1370, 9795, 29918, 3027, 29889, 12181, 29961, 29900, 29962, 448, 3474, 29930, 7165, 29918, 3545, 30004, 13, 4706, 5401, 29918, 29916, 1563, 29918, 677, 353, 2175, 29916, 29918, 3784, 448, 5906, 30004, 13, 4706, 5401, 29918, 29916, 1563, 29918, 9812, 353, 2175, 29916, 29918, 3784, 718, 5906, 30004, 13, 4706, 5401, 29918, 29916, 1266, 29918, 677, 353, 1492, 29916, 29918, 3784, 448, 5906, 30004, 13, 4706, 5401, 29918, 29916, 1266, 29918, 9812, 353, 1492, 29916, 29918, 3784, 718, 5906, 30004, 13, 4706, 396, 18492, 278, 5417, 373, 278, 7604, 2133, 1967, 30004, 13, 4706, 13850, 29906, 29889, 1621, 2521, 29898, 449, 29918, 2492, 22657, 5080, 29918, 29916, 1563, 29918, 677, 29892, 5080, 29918, 29891, 29918, 677, 21336, 5080, 29918, 29916, 1563, 29918, 9812, 29892, 5080, 29918, 29891, 29918, 9812, 511, 30004, 13, 4706, 313, 29900, 29892, 29906, 29945, 29945, 29892, 29900, 511, 29871, 29906, 29897, 6756, 13, 4706, 13850, 29906, 29889, 1621, 2521, 29898, 449, 29918, 2492, 22657, 5080, 29918, 29916, 1266, 29918, 677, 29892, 5080, 29918, 29891, 29918, 677, 21336, 5080, 29918, 29916, 1266, 29918, 9812, 29892, 5080, 29918, 29891, 29918, 9812, 511, 30004, 13, 4706, 313, 29900, 29892, 29906, 29945, 29945, 29892, 29900, 511, 29871, 29906, 29897, 6756, 13, 4706, 396, 13355, 1598, 278, 1661, 9171, 17036, 297, 921, 322, 343, 2629, 278, 3474, 30004, 13, 4706, 1781, 29918, 1563, 29918, 12772, 353, 5135, 5464, 9171, 29891, 6736, 5401, 29918, 29891, 29918, 677, 29897, 669, 313, 5464, 9171, 29891, 529, 5401, 29918, 29891, 29918, 9812, 29897, 669, 6756, 13, 4706, 313, 5464, 9171, 29916, 6736, 5401, 29918, 29916, 1563, 29918, 677, 29897, 669, 29871, 313, 5464, 9171, 29916, 529, 5401, 29918, 29916, 1563, 29918, 9812, 8106, 5464, 9171, 580, 29961, 29900, 29962, 30004, 13, 4706, 1781, 29918, 1266, 29918, 12772, 353, 5135, 5464, 9171, 29891, 6736, 5401, 29918, 29891, 29918, 677, 29897, 669, 313, 5464, 9171, 29891, 529, 5401, 29918, 29891, 29918, 9812, 29897, 669, 6756, 13, 4706, 313, 5464, 9171, 29916, 6736, 5401, 29918, 29916, 1266, 29918, 677, 29897, 669, 29871, 313, 5464, 9171, 29916, 529, 5401, 29918, 29916, 1266, 29918, 9812, 8106, 5464, 9171, 580, 29961, 29900, 29962, 30004, 13, 4706, 396, 22871, 1438, 16285, 304, 278, 8857, 30004, 13, 4706, 2175, 29918, 25821, 29918, 12772, 29889, 4397, 29898, 16773, 29918, 1563, 29918, 12772, 8443, 13, 4706, 1492, 29918, 25821, 29918, 12772, 29889, 4397, 29898, 16773, 29918, 1266, 29918, 12772, 8443, 13, 4706, 396, 960, 366, 1476, 1405, 1375, 29886, 861, 17036, 29892, 1162, 5893, 2446, 3474, 373, 1009, 2099, 2602, 30004, 13, 4706, 565, 7431, 29898, 16773, 29918, 1563, 29918, 12772, 29897, 1405, 1375, 29886, 861, 29901, 30004, 13, 9651, 2175, 29916, 29918, 3784, 353, 7442, 29889, 524, 29898, 9302, 29889, 12676, 29898, 5464, 9171, 29916, 29961, 16773, 29918, 1563, 29918, 12772, 12622, 30004, 13, 4706, 565, 7431, 29898, 16773, 29918, 1266, 29918, 12772, 29897, 1405, 1375, 29886, 861, 29901, 4706, 6756, 13, 9651, 1492, 29916, 29918, 3784, 353, 7442, 29889, 524, 29898, 9302, 29889, 12676, 29898, 5464, 9171, 29916, 29961, 16773, 29918, 1266, 29918, 12772, 12622, 30004, 13, 1678, 6756, 13, 1678, 396, 23924, 2579, 403, 278, 7049, 310, 16285, 30004, 13, 1678, 2175, 29918, 25821, 29918, 12772, 353, 7442, 29889, 535, 29883, 2579, 403, 29898, 1563, 29918, 25821, 29918, 12772, 8443, 13, 1678, 1492, 29918, 25821, 29918, 12772, 353, 7442, 29889, 535, 29883, 2579, 403, 29898, 1266, 29918, 25821, 29918, 12772, 8443, 13, 30004, 13, 1678, 396, 7338, 1461, 2175, 322, 1492, 1196, 15526, 11909, 30004, 13, 1678, 2175, 29916, 353, 1661, 9171, 29916, 29961, 1563, 29918, 25821, 29918, 12772, 29962, 30004, 13, 1678, 2175, 29891, 353, 1661, 9171, 29891, 29961, 1563, 29918, 25821, 29918, 12772, 29962, 6756, 13, 1678, 1492, 29916, 353, 1661, 9171, 29916, 29961, 1266, 29918, 25821, 29918, 12772, 29962, 30004, 13, 1678, 1492, 29891, 353, 1661, 9171, 29891, 29961, 1266, 29918, 25821, 29918, 12772, 29962, 6756, 13, 30004, 13, 1678, 396, 383, 277, 263, 1473, 1797, 10159, 304, 1269, 30004, 13, 1678, 2175, 29918, 9202, 353, 7442, 29889, 22678, 9202, 29898, 1563, 29891, 29892, 2175, 29916, 29892, 29871, 29906, 8443, 13, 1678, 396, 9044, 278, 2175, 15680, 10825, 297, 263, 316, 802, 363, 2678, 671, 30004, 13, 1678, 2175, 29918, 9202, 29918, 311, 802, 29889, 4397, 29898, 1563, 29918, 9202, 8443, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 11190, 278, 316, 802, 310, 10159, 848, 322, 6597, 278, 2211, 16127, 29892, 8992, 279, 479, 963, 363, 25806, 30004, 13, 1678, 363, 22645, 29892, 1302, 12352, 29879, 297, 26985, 29898, 1563, 29918, 9202, 29918, 311, 802, 1125, 30004, 13, 4706, 315, 29900, 29918, 29931, 29961, 13140, 29962, 353, 1302, 12352, 29879, 29961, 29900, 29962, 30004, 13, 4706, 315, 29896, 29918, 29931, 29961, 13140, 29962, 353, 1302, 12352, 29879, 29961, 29896, 29962, 30004, 13, 4706, 315, 29906, 29918, 29931, 29961, 13140, 29962, 353, 1302, 12352, 29879, 29961, 29906, 29962, 30004, 13, 4706, 6756, 13, 4706, 6756, 13, 965, 6756, 13, 1678, 6588, 29918, 29907, 29900, 29918, 29931, 353, 7442, 29889, 12676, 29898, 29907, 29900, 29918, 29931, 8443, 13, 1678, 6588, 29918, 29907, 29896, 29918, 29931, 353, 7442, 29889, 12676, 29898, 29907, 29896, 29918, 29931, 8443, 13, 1678, 6588, 29918, 29907, 29906, 29918, 29931, 353, 7442, 29889, 12676, 29898, 29907, 29906, 29918, 29931, 8443, 13, 1678, 6756, 13, 1678, 2175, 29918, 9202, 29961, 29900, 29962, 353, 6588, 29918, 29907, 29900, 29918, 29931, 30004, 13, 1678, 2175, 29918, 9202, 29961, 29896, 29962, 353, 6588, 29918, 29907, 29896, 29918, 29931, 30004, 13, 1678, 2175, 29918, 9202, 29961, 29906, 29962, 353, 6588, 29918, 29907, 29906, 29918, 29931, 30004, 13, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 1492, 29918, 9202, 353, 7442, 29889, 22678, 9202, 29898, 1266, 29891, 29892, 1492, 29916, 29892, 29871, 29906, 8443, 13, 4706, 396, 9044, 278, 2175, 15680, 10825, 297, 263, 316, 802, 363, 2678, 671, 30004, 13, 1678, 1492, 29918, 9202, 29918, 311, 802, 29889, 4397, 29898, 1266, 29918, 9202, 8443, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 11190, 278, 316, 802, 310, 10159, 848, 322, 6597, 278, 2211, 16127, 29892, 8992, 279, 479, 963, 363, 25806, 30004, 13, 1678, 363, 22645, 29892, 1302, 12352, 29879, 297, 26985, 29898, 1266, 29918, 9202, 29918, 311, 802, 1125, 30004, 13, 4706, 315, 29900, 29918, 29934, 29961, 13140, 29962, 353, 1302, 12352, 29879, 29961, 29900, 29962, 30004, 13, 4706, 315, 29896, 29918, 29934, 29961, 13140, 29962, 353, 1302, 12352, 29879, 29961, 29896, 29962, 30004, 13, 4706, 315, 29906, 29918, 29934, 29961, 13140, 29962, 353, 1302, 12352, 29879, 29961, 29906, 29962, 30004, 13, 4706, 6756, 13, 4706, 6756, 13, 965, 6756, 13, 1678, 6588, 29918, 29907, 29900, 29918, 29934, 353, 7442, 29889, 12676, 29898, 29907, 29900, 29918, 29934, 8443, 13, 1678, 6588, 29918, 29907, 29896, 29918, 29934, 353, 7442, 29889, 12676, 29898, 29907, 29896, 29918, 29934, 8443, 13, 1678, 6588, 29918, 29907, 29906, 29918, 29934, 353, 7442, 29889, 12676, 29898, 29907, 29906, 29918, 29934, 8443, 13, 1678, 6756, 13, 1678, 1492, 29918, 9202, 29961, 29900, 29962, 353, 6588, 29918, 29907, 29900, 29918, 29934, 30004, 13, 1678, 1492, 29918, 9202, 29961, 29896, 29962, 353, 6588, 29918, 29907, 29896, 29918, 29934, 30004, 13, 1678, 1492, 29918, 9202, 29961, 29906, 29962, 353, 6588, 29918, 29907, 29906, 29918, 29934, 30004, 13, 30004, 13, 30004, 13, 30004, 13, 1678, 396, 3251, 403, 921, 322, 343, 1819, 363, 6492, 1259, 30004, 13, 1678, 6492, 29891, 353, 7442, 29889, 1915, 3493, 29898, 29900, 29892, 1370, 9795, 29918, 3027, 29889, 12181, 29961, 29900, 29962, 29899, 29896, 29892, 1370, 9795, 29918, 3027, 29889, 12181, 29961, 29900, 29962, 1723, 30004, 13, 1678, 2175, 29918, 9202, 29916, 353, 2175, 29918, 9202, 29961, 29900, 14178, 5317, 29891, 1068, 29906, 718, 2175, 29918, 9202, 29961, 29896, 14178, 5317, 29891, 718, 2175, 29918, 9202, 29961, 29906, 29962, 30004, 13, 29937, 1678, 2175, 29918, 9202, 29916, 353, 2175, 29918, 9202, 29918, 311, 802, 29961, 29900, 14178, 5317, 29891, 1068, 29906, 718, 2175, 29918, 9202, 29918, 311, 802, 29961, 29896, 14178, 5317, 29891, 718, 2175, 29918, 9202, 29961, 29906, 29962, 30004, 13, 1678, 1492, 29918, 9202, 29916, 353, 1492, 29918, 9202, 29961, 29900, 14178, 5317, 29891, 1068, 29906, 718, 1492, 29918, 9202, 29961, 29896, 14178, 5317, 29891, 718, 1492, 29918, 9202, 29961, 29906, 29962, 30004, 13, 30004, 13, 1678, 714, 29918, 2492, 29961, 5464, 9171, 29891, 29961, 1563, 29918, 25821, 29918, 12772, 1402, 1661, 9171, 29916, 29961, 1563, 29918, 25821, 29918, 12772, 5262, 353, 518, 29906, 29945, 29945, 29892, 29871, 29900, 29892, 29871, 29900, 29962, 30004, 13, 1678, 714, 29918, 2492, 29961, 5464, 9171, 29891, 29961, 1266, 29918, 25821, 29918, 12772, 1402, 1661, 9171, 29916, 29961, 1266, 29918, 25821, 29918, 12772, 5262, 353, 518, 29900, 29892, 29871, 29900, 29892, 29871, 29906, 29945, 29945, 29962, 30004, 13, 259, 6756, 13, 1678, 6756, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 449, 29918, 2492, 8443, 13, 29937, 1678, 14770, 29889, 5317, 29898, 1563, 29918, 9202, 29916, 29892, 6492, 29891, 29892, 2927, 2433, 9539, 1495, 30004, 13, 29937, 1678, 14770, 29889, 5317, 29898, 1266, 29918, 9202, 29916, 29892, 6492, 29891, 29892, 2927, 2433, 1127, 1495, 30004, 13, 29937, 1678, 14770, 29889, 29916, 2576, 29898, 29900, 29892, 29871, 29896, 29906, 29947, 29900, 8443, 13, 29937, 1678, 14770, 29889, 29891, 2576, 29898, 29955, 29906, 29900, 29892, 29871, 29900, 8443, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 1678, 6756, 13, 1678, 6756, 13, 4706, 396, 6204, 385, 1967, 304, 4216, 278, 3454, 373, 30004, 13, 1678, 1370, 29886, 29918, 9171, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 4495, 9795, 29918, 3027, 467, 579, 668, 29898, 9302, 29889, 13470, 29947, 8443, 13, 1678, 2927, 29918, 4495, 29886, 353, 7442, 29889, 29881, 1429, 3552, 4495, 29886, 29918, 9171, 29892, 1370, 29886, 29918, 9171, 29892, 1370, 29886, 29918, 9171, 876, 30004, 13, 1678, 6756, 13, 1678, 396, 3599, 579, 278, 921, 322, 343, 3291, 964, 502, 519, 3402, 363, 13850, 29906, 29889, 5589, 7713, 29891, 26471, 13, 1678, 282, 1372, 29918, 1563, 353, 7442, 29889, 2378, 4197, 9302, 29889, 3286, 4220, 29898, 9302, 29889, 29894, 1429, 4197, 1563, 29918, 9202, 29916, 29892, 6492, 29891, 12622, 2314, 30004, 13, 1678, 282, 1372, 29918, 1266, 353, 7442, 29889, 2378, 4197, 9302, 29889, 29888, 3466, 566, 29898, 9302, 29889, 3286, 4220, 29898, 9302, 29889, 29894, 1429, 4197, 1266, 29918, 9202, 29916, 29892, 6492, 29891, 29962, 4961, 2314, 30004, 13, 1678, 282, 1372, 353, 7442, 29889, 29882, 1429, 3552, 16485, 29918, 1563, 29892, 282, 1372, 29918, 1266, 876, 30004, 13, 1678, 6756, 13, 1678, 396, 18492, 278, 301, 1662, 11480, 278, 1370, 9795, 9654, 1967, 30004, 13, 1678, 13850, 29906, 29889, 5589, 7713, 29891, 29898, 2780, 29918, 4495, 29886, 29892, 7442, 29889, 524, 29918, 4197, 16485, 11724, 313, 29900, 29892, 29906, 29945, 29945, 29892, 29871, 29900, 876, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 29937, 268, 512, 445, 4004, 591, 8147, 278, 11855, 310, 27686, 1535, 363, 278, 1370, 9795, 3454, 30004, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 1678, 6756, 13, 4706, 396, 22402, 343, 29899, 1767, 988, 591, 864, 11855, 310, 27686, 1535, 30004, 13, 1678, 396, 306, 29915, 645, 6755, 278, 7472, 343, 29899, 1767, 29892, 6590, 304, 278, 5970, 310, 278, 1967, 30004, 13, 1678, 343, 29918, 14513, 353, 7442, 29889, 3317, 29898, 5317, 29891, 8443, 13, 1678, 2175, 29918, 2764, 369, 328, 353, 5135, 29896, 718, 313, 29906, 29930, 1563, 29918, 9202, 29961, 29900, 14178, 29891, 29918, 14513, 718, 2175, 29918, 9202, 29961, 29896, 2314, 1068, 29906, 29897, 1068, 29896, 29889, 29945, 29897, 847, 7442, 29889, 23552, 29898, 29906, 29930, 1563, 29918, 9202, 29961, 29900, 2314, 30004, 13, 1678, 1492, 29918, 2764, 369, 328, 353, 5135, 29896, 718, 313, 29906, 29930, 1266, 29918, 9202, 29961, 29900, 14178, 29891, 29918, 14513, 718, 1492, 29918, 9202, 29961, 29896, 2314, 1068, 29906, 29897, 1068, 29896, 29889, 29945, 29897, 847, 7442, 29889, 23552, 29898, 29906, 29930, 1266, 29918, 9202, 29961, 29900, 2314, 30004, 13, 29937, 1678, 1596, 29898, 1563, 29918, 2764, 369, 328, 29892, 1492, 29918, 2764, 369, 328, 8443, 13, 1678, 396, 8741, 1819, 29901, 29871, 29896, 29929, 29906, 29953, 29889, 29955, 29946, 29871, 29896, 29929, 29900, 29947, 29889, 29946, 29947, 30004, 13, 30004, 13, 4706, 396, 22402, 9678, 1080, 297, 921, 322, 343, 515, 17036, 2913, 304, 27881, 30004, 13, 1678, 343, 29885, 29918, 546, 29918, 29886, 861, 353, 29871, 29941, 29900, 29914, 29955, 29906, 29900, 396, 27881, 639, 15526, 297, 343, 9927, 30004, 13, 1678, 921, 29885, 29918, 546, 29918, 29886, 861, 353, 29871, 29941, 29889, 29955, 29914, 29955, 29900, 29900, 396, 27881, 639, 15526, 297, 921, 9927, 30004, 13, 1678, 6756, 13, 1678, 396, 383, 277, 716, 24655, 304, 921, 29892, 29891, 297, 3186, 2913, 30004, 13, 1678, 2175, 29918, 9202, 29918, 7283, 353, 7442, 29889, 22678, 9202, 29898, 5317, 29891, 29930, 962, 29918, 546, 29918, 29886, 861, 29892, 2175, 29918, 9202, 29916, 29930, 29916, 29885, 29918, 546, 29918, 29886, 861, 29892, 29871, 29906, 8443, 13, 1678, 1492, 29918, 9202, 29918, 7283, 353, 7442, 29889, 22678, 9202, 29898, 5317, 29891, 29930, 962, 29918, 546, 29918, 29886, 861, 29892, 1492, 29918, 9202, 29916, 29930, 29916, 29885, 29918, 546, 29918, 29886, 861, 29892, 29871, 29906, 8443, 13, 1678, 396, 20535, 403, 278, 716, 2971, 2236, 310, 27686, 1535, 30004, 13, 1678, 2175, 29918, 2764, 369, 328, 353, 5135, 29896, 718, 313, 29906, 29930, 1563, 29918, 9202, 29918, 7283, 29961, 29900, 14178, 29891, 29918, 14513, 29930, 962, 29918, 546, 29918, 29886, 861, 718, 2175, 29918, 9202, 29918, 7283, 29961, 29896, 2314, 1068, 29906, 29897, 1068, 29896, 29889, 29945, 29897, 847, 7442, 29889, 23552, 29898, 29906, 29930, 1563, 29918, 9202, 29918, 7283, 29961, 29900, 2314, 30004, 13, 1678, 1492, 29918, 2764, 369, 328, 353, 5135, 29896, 718, 313, 29906, 29930, 1266, 29918, 9202, 29918, 7283, 29961, 29900, 14178, 29891, 29918, 14513, 29930, 962, 29918, 546, 29918, 29886, 861, 718, 1492, 29918, 9202, 29918, 7283, 29961, 29896, 2314, 1068, 29906, 29897, 1068, 29896, 29889, 29945, 29897, 847, 7442, 29889, 23552, 29898, 29906, 29930, 1266, 29918, 9202, 29918, 7283, 29961, 29900, 2314, 30004, 13, 1678, 396, 2567, 1749, 11855, 310, 27686, 1535, 338, 297, 27881, 30004, 13, 29937, 1678, 1596, 29898, 1563, 29918, 2764, 369, 328, 29892, 525, 29885, 742, 1492, 29918, 2764, 369, 328, 29892, 525, 29885, 1495, 30004, 13, 1678, 396, 8741, 1819, 29901, 29871, 29953, 29941, 29906, 29889, 29896, 286, 268, 29953, 29906, 29953, 29889, 29906, 286, 30004, 13, 1678, 6756, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 29937, 259, 20535, 403, 278, 2602, 515, 4818, 363, 278, 19716, 6198, 304, 278, 2175, 301, 1662, 6756, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 3362, 29886, 278, 9654, 1250, 304, 2441, 1967, 2913, 773, 16402, 18520, 4636, 313, 8140, 29894, 8443, 13, 1678, 716, 4495, 29886, 353, 13850, 29906, 29889, 4495, 29886, 15136, 12645, 29898, 2780, 29918, 4495, 29886, 29892, 3080, 29894, 29892, 313, 12683, 29918, 2492, 29889, 12181, 29961, 29896, 1402, 1677, 29918, 2492, 29889, 12181, 29961, 29900, 12622, 6756, 13, 1678, 6756, 13, 1678, 4079, 353, 13850, 29906, 29889, 29943, 1164, 29911, 29918, 4448, 7068, 13282, 29918, 5425, 3580, 1307, 29990, 30004, 13, 1678, 13850, 29906, 29889, 649, 1626, 29898, 1482, 4495, 29886, 5501, 4789, 3278, 29901, 2060, 29918, 9641, 742, 29898, 29896, 29900, 29892, 29945, 29900, 511, 4079, 29892, 29871, 29896, 22657, 29906, 29945, 29945, 29892, 29900, 29892, 29900, 511, 29941, 29892, 11023, 29906, 29889, 18521, 29918, 6344, 8443, 13, 1678, 13850, 29906, 29889, 649, 1626, 29898, 1482, 4495, 29886, 5501, 9588, 328, 4957, 2482, 310, 27686, 1535, 29901, 6571, 2383, 4286, 4830, 29898, 1563, 29918, 2764, 369, 328, 29914, 29896, 29900, 29900, 29900, 21336, 29896, 29900, 29892, 29896, 29900, 29900, 511, 4079, 29892, 29871, 29896, 22657, 29906, 29945, 29945, 29892, 29900, 29892, 29900, 511, 29941, 29892, 11023, 29906, 29889, 18521, 29918, 6344, 8443, 13, 1678, 6756, 13, 30004, 13, 1678, 6756, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 29937, 268, 3462, 278, 9779, 363, 28221, 278, 11855, 310, 27686, 1535, 304, 278, 1967, 30004, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 19716, 29918, 5064, 353, 716, 4495, 29886, 29889, 12181, 29961, 29896, 16261, 29906, 396, 465, 9929, 393, 278, 4863, 8343, 338, 515, 10852, 4818, 30004, 13, 1678, 343, 29918, 29886, 861, 1379, 353, 7442, 29889, 279, 927, 29898, 1482, 4495, 29886, 29889, 12181, 29961, 29900, 29962, 29899, 29896, 29900, 29892, 716, 4495, 29886, 29889, 12181, 29961, 29900, 10062, 29896, 8443, 13, 29937, 1678, 343, 29918, 29886, 861, 1379, 353, 29871, 29955, 29896, 29929, 30004, 13, 1678, 301, 29916, 29918, 2029, 353, 2175, 29918, 9202, 29918, 7283, 29961, 29900, 14178, 29891, 29918, 29886, 861, 1379, 1068, 29906, 29974, 1563, 29918, 9202, 29918, 7283, 29961, 29896, 14178, 29891, 29918, 29886, 861, 1379, 29974, 1563, 29918, 9202, 29918, 7283, 29961, 29906, 29962, 30004, 13, 1678, 364, 29916, 29918, 2029, 353, 1492, 29918, 9202, 29918, 7283, 29961, 29900, 14178, 29891, 29918, 29886, 861, 1379, 1068, 29906, 29974, 1266, 29918, 9202, 29918, 7283, 29961, 29896, 14178, 29891, 29918, 29886, 861, 1379, 29974, 1266, 29918, 9202, 29918, 7283, 29961, 29906, 29962, 30004, 13, 1678, 6756, 13, 1678, 301, 1662, 29918, 5064, 29918, 29886, 15711, 353, 313, 1266, 29918, 9202, 29916, 29961, 29900, 29962, 718, 2175, 29918, 9202, 29916, 29961, 29900, 2314, 29914, 29906, 30004, 13, 1678, 19716, 29918, 10289, 353, 313, 345, 29882, 2512, 29918, 5064, 448, 301, 1662, 29918, 5064, 29918, 29886, 15711, 11877, 29916, 29885, 29918, 546, 29918, 29886, 861, 30004, 13, 29937, 1678, 282, 312, 29918, 29881, 17678, 353, 19716, 29918, 10289, 29914, 30004, 13, 30004, 13, 1678, 565, 19716, 29918, 10289, 1405, 29871, 29900, 29901, 30004, 13, 4706, 13850, 29906, 29889, 649, 1626, 29898, 1482, 4495, 29886, 5501, 29923, 1484, 8980, 29882, 2512, 338, 6571, 27881, 1492, 310, 301, 1662, 4818, 4286, 4830, 29898, 345, 29882, 2512, 29918, 10289, 21336, 29896, 29900, 29892, 29896, 29945, 29900, 511, 4079, 29892, 29871, 29896, 22657, 29906, 29945, 29945, 29892, 29900, 29892, 29900, 511, 29941, 29892, 11023, 29906, 29889, 18521, 29918, 6344, 8443, 13, 1678, 565, 19716, 29918, 10289, 529, 29871, 29900, 29901, 259, 6756, 13, 4706, 13850, 29906, 29889, 649, 1626, 29898, 1482, 4495, 29886, 5501, 29923, 1484, 8980, 29882, 2512, 338, 6571, 27881, 2175, 310, 301, 1662, 4818, 4286, 4830, 29898, 345, 29882, 2512, 29918, 10289, 21336, 29896, 29900, 29892, 29896, 29945, 29900, 511, 4079, 29892, 29871, 29896, 22657, 29906, 29945, 29945, 29892, 29900, 29892, 29900, 511, 29941, 29892, 11023, 29906, 29889, 18521, 29918, 6344, 8443, 13, 1678, 565, 19716, 29918, 10289, 1275, 29871, 29900, 29901, 30004, 13, 4706, 13850, 29906, 29889, 649, 1626, 29898, 1482, 4495, 29886, 5501, 29923, 1484, 8980, 29882, 2512, 338, 4153, 373, 4818, 6824, 7027, 4982, 29991, 742, 29898, 29896, 29900, 29892, 29896, 29945, 29900, 511, 4079, 29892, 29871, 29896, 22657, 29906, 29945, 29945, 29892, 29900, 29892, 29900, 511, 29941, 29892, 11023, 29906, 29889, 18521, 29918, 6344, 8443, 13, 4706, 6756, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 29937, 268, 910, 24580, 278, 301, 1662, 1196, 848, 363, 13490, 19716, 4818, 30004, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 29937, 1678, 14770, 29889, 5317, 29898, 29880, 29916, 29918, 2029, 29892, 29891, 29918, 29886, 861, 1379, 5501, 29916, 1495, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 8091, 23841, 7407, 349, 15711, 5976, 800, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 29937, 29871, 6756, 13, 29937, 1678, 14770, 29889, 5317, 29898, 17697, 29918, 2029, 29892, 29891, 29918, 29886, 861, 1379, 5501, 29916, 1495, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 7341, 23841, 7407, 349, 15711, 5976, 800, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 580, 29871, 6756, 13, 29937, 1678, 6756, 13, 29937, 1678, 14770, 29889, 5317, 29898, 1563, 29918, 9202, 29916, 5501, 29916, 1495, 30004, 13, 29937, 1678, 14770, 29889, 5317, 29898, 1266, 29918, 9202, 29916, 5501, 29877, 1495, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 8091, 23841, 322, 10428, 23841, 27292, 29892, 14698, 4516, 474, 376, 29891, 29908, 297, 1967, 2913, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 29937, 1678, 6756, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29896, 29945, 29892, 29896, 29945, 876, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 1482, 4495, 29886, 8443, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 29937, 1678, 6756, 13, 1678, 396, 422, 26062, 278, 1121, 411, 278, 2441, 1967, 30004, 13, 1678, 396, 2492, 353, 13850, 29906, 29889, 326, 949, 29898, 2492, 8443, 13, 1678, 10153, 353, 13850, 29906, 29889, 11023, 29873, 3306, 29898, 12683, 29918, 2492, 29892, 11023, 29906, 29889, 15032, 1955, 29918, 29933, 14345, 29906, 28212, 8443, 13, 29937, 1678, 1121, 353, 13850, 29906, 29889, 1202, 22676, 287, 29898, 12683, 29918, 2492, 29892, 29871, 29896, 29892, 716, 4495, 29886, 29892, 29871, 29900, 29889, 29941, 29892, 29871, 29900, 29897, 29871, 6756, 13, 1678, 1121, 353, 13850, 29906, 29889, 1202, 22676, 287, 29898, 2492, 29892, 29871, 29896, 29892, 716, 4495, 29886, 29892, 29871, 29900, 29889, 29941, 29892, 29871, 29900, 29897, 29871, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 4013, 338, 278, 2186, 975, 433, 333, 1967, 411, 278, 19696, 486, 29877, 302, 372, 30004, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29896, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 8394, 1121, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 2914, 8443, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 1678, 6756, 13, 1678, 736, 1121, 29892, 2175, 29918, 9202, 29916, 29892, 1492, 29918, 9202, 29916, 29892, 6492, 29891, 30004, 13, 30004, 13, 1678, 6756, 13, 30004, 13, 361, 1065, 29918, 26065, 29918, 1052, 1275, 29871, 29896, 29901, 30004, 13, 1678, 6756, 13, 1678, 396, 2683, 23648, 315, 3596, 3168, 322, 14511, 403, 10656, 1208, 322, 1320, 441, 291, 27760, 1621, 2683, 26589, 30004, 13, 1678, 6756, 13, 1678, 396, 4013, 4004, 5717, 278, 10656, 1208, 26218, 740, 30004, 13, 1678, 6756, 13, 1678, 396, 8251, 278, 740, 304, 6088, 1549, 278, 1208, 26218, 1967, 1409, 322, 736, 30004, 13, 4706, 396, 1552, 2967, 1203, 1298, 29892, 26995, 322, 263, 867, 6151, 744, 1967, 363, 3407, 2159, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 2328, 29930, 323, 24015, 3446, 3235, 6732, 365, 1299, 1001, 6824, 6824, 6824, 746, 366, 864, 304, 1208, 4626, 403, 278, 10656, 30004, 13, 4706, 6756, 13, 1678, 396, 8561, 263, 1051, 310, 1208, 26218, 4558, 30004, 13, 1678, 1967, 29918, 3972, 353, 376, 29907, 22298, 5959, 1966, 29885, 29878, 7830, 1966, 20128, 1966, 25119, 1966, 8179, 2797, 29899, 3253, 16858, 29899, 29931, 1662, 29899, 20261, 1966, 26065, 29918, 1052, 1966, 19451, 13, 1678, 4558, 353, 2897, 29889, 1761, 3972, 877, 26065, 29918, 1052, 1495, 6756, 13, 539, 6756, 13, 1678, 26995, 29892, 10153, 9748, 29892, 5446, 9748, 29892, 16749, 353, 1208, 4626, 403, 29918, 26065, 29898, 3027, 29918, 3972, 29892, 4558, 8443, 13, 1678, 6756, 13, 1678, 444, 5631, 403, 278, 1320, 441, 291, 16127, 322, 10656, 4636, 29892, 1301, 4608, 322, 5731, 4608, 30004, 13, 1678, 1596, 877, 5631, 1218, 1320, 441, 291, 16127, 322, 10656, 4636, 4128, 1495, 30004, 13, 1678, 3240, 29892, 286, 7508, 29892, 1320, 29892, 364, 2003, 29879, 29892, 260, 2003, 29879, 353, 13850, 29906, 29889, 1052, 4626, 403, 20717, 29898, 5415, 9748, 29892, 10153, 9748, 29892, 21012, 29889, 12181, 29961, 1057, 29899, 29896, 1402, 6213, 29892, 6213, 8443, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 25263, 391, 441, 278, 4558, 297, 278, 1243, 29918, 8346, 4138, 30004, 13, 1678, 1967, 29918, 3972, 353, 376, 29907, 22298, 5959, 1966, 29885, 29878, 7830, 1966, 20128, 1966, 25119, 1966, 8179, 2797, 29899, 3253, 16858, 29899, 29931, 1662, 29899, 20261, 1966, 1688, 29918, 8346, 1966, 19451, 13, 1678, 4558, 353, 2897, 29889, 1761, 3972, 877, 1688, 29918, 8346, 1495, 30004, 13, 1678, 1596, 877, 8592, 1967, 3884, 338, 29901, 6571, 15300, 4830, 29898, 3027, 29918, 3972, 876, 30004, 13, 1678, 1596, 877, 1576, 4558, 297, 278, 3884, 526, 29901, 6571, 29915, 869, 4830, 29898, 8346, 876, 30004, 13, 1678, 1320, 441, 291, 29918, 15728, 287, 353, 1320, 441, 291, 29918, 15728, 29898, 3027, 29918, 3972, 29892, 4558, 29892, 286, 7508, 29892, 1320, 8443, 13, 1678, 13850, 29906, 29889, 20524, 3596, 7685, 26471, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 2683, 23648, 315, 3596, 3168, 304, 14511, 403, 263, 16439, 363, 1967, 9068, 2683, 22158, 30004, 13, 1678, 6756, 13, 1678, 1967, 29918, 3972, 353, 376, 29907, 22298, 5959, 1966, 29885, 29878, 7830, 1966, 20128, 1966, 25119, 1966, 8179, 2797, 29899, 3253, 16858, 29899, 29931, 1662, 29899, 20261, 1966, 1688, 29918, 8346, 1966, 19451, 13, 1678, 4558, 353, 2897, 29889, 1761, 3972, 877, 1688, 29918, 8346, 1495, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 1596, 877, 8592, 1967, 3884, 338, 29901, 6571, 15300, 4830, 29898, 3027, 29918, 3972, 876, 30004, 13, 1678, 1596, 877, 1576, 4558, 297, 278, 3884, 526, 29901, 6571, 320, 29876, 29915, 869, 4830, 29898, 8346, 876, 30004, 13, 1678, 396, 2158, 877, 1576, 4558, 297, 278, 3884, 526, 29901, 6571, 320, 29876, 29915, 869, 4830, 29898, 8346, 29918, 1482, 876, 30004, 13, 1678, 6756, 13, 1678, 577, 6596, 29918, 17460, 353, 29871, 29929, 30004, 13, 1678, 396, 11082, 29918, 386, 3781, 353, 518, 29941, 29900, 29892, 29906, 29945, 29945, 29962, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 17462, 372, 30004, 13, 1678, 4656, 29918, 386, 12268, 353, 518, 29945, 29900, 29892, 29896, 29945, 29900, 29962, 30004, 13, 1678, 577, 6596, 29918, 11082, 353, 518, 29900, 29892, 29906, 29945, 29945, 29962, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 5721, 441, 291, 1959, 30004, 13, 1678, 565, 7431, 29898, 23705, 29889, 23705, 877, 6904, 1688, 29918, 8346, 5515, 13398, 441, 291, 10521, 6173, 8785, 1275, 29871, 29900, 29901, 30004, 13, 4706, 1596, 877, 12711, 526, 694, 1320, 441, 291, 24114, 4558, 297, 278, 3884, 29892, 1235, 502, 1653, 963, 1495, 30004, 13, 4706, 1320, 441, 291, 29918, 15728, 287, 353, 1320, 441, 291, 29918, 15728, 29898, 3027, 29918, 3972, 29892, 4558, 29892, 286, 7508, 29892, 1320, 8443, 13, 1678, 6756, 13, 1678, 4558, 353, 13149, 29889, 23705, 877, 6904, 1688, 29918, 8346, 5515, 13398, 441, 291, 10521, 6173, 1495, 30004, 13, 30004, 13, 30004, 13, 30004, 13, 1753, 1889, 29918, 3027, 29898, 8346, 1125, 30004, 13, 29937, 1678, 363, 22645, 29892, 285, 978, 297, 26985, 29898, 8346, 1125, 30004, 13, 4706, 6756, 13, 1678, 10153, 353, 13850, 29906, 29889, 11023, 29873, 3306, 29898, 8346, 29892, 13850, 29906, 29889, 15032, 1955, 29918, 29933, 14345, 29906, 28212, 8443, 13, 29937, 1678, 10153, 353, 13850, 29906, 29889, 11023, 29873, 3306, 29898, 8346, 29892, 13850, 29906, 29889, 15032, 1955, 29918, 28212, 29906, 29933, 14345, 8443, 13, 29937, 1678, 1677, 29918, 3027, 353, 10153, 30004, 13, 29937, 4706, 10153, 353, 13850, 29906, 29889, 326, 949, 29898, 29888, 978, 8443, 13, 1678, 6756, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 2492, 8443, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 1678, 6756, 13, 1678, 396, 26746, 297, 278, 8380, 7581, 16030, 848, 297, 1060, 322, 612, 30004, 13, 1678, 4656, 29916, 29918, 19541, 353, 6425, 29918, 578, 6596, 29918, 3027, 29898, 2492, 5501, 29916, 742, 5105, 29918, 386, 12268, 1919, 577, 6596, 29918, 17460, 8443, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 25196, 19295, 993, 498, 12268, 292, 297, 1060, 5305, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 5105, 29916, 29918, 19541, 29892, 274, 1958, 2433, 21012, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 30004, 13, 1678, 867, 3714, 29918, 19541, 353, 6425, 29918, 578, 6596, 29918, 3027, 29898, 2492, 5501, 29891, 742, 5105, 29918, 386, 12268, 1919, 577, 6596, 29918, 17460, 8443, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 25196, 19295, 993, 498, 12268, 292, 297, 612, 5305, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 629, 3714, 29918, 19541, 29892, 274, 1958, 2433, 21012, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 27065, 403, 278, 25147, 295, 5305, 16030, 7581, 16897, 30004, 13, 1678, 4516, 29918, 19541, 353, 577, 6596, 29918, 3972, 29918, 386, 3781, 29898, 2492, 29892, 577, 6596, 29918, 17460, 29922, 29896, 29945, 29892, 266, 3781, 7607, 29900, 29889, 29953, 29892, 7442, 29889, 1631, 29914, 29906, 876, 30004, 13, 29937, 1678, 1596, 29898, 3972, 29918, 19541, 29889, 29881, 1853, 8443, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 25196, 25147, 295, 313, 4920, 14977, 29897, 19295, 993, 498, 12268, 292, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 3972, 29918, 19541, 29892, 274, 1958, 353, 525, 21012, 1495, 30004, 13, 1678, 6756, 13, 29937, 1678, 2320, 29918, 19541, 353, 577, 6596, 29918, 11082, 29918, 386, 3781, 29898, 2492, 29892, 577, 6596, 29918, 17460, 29892, 2320, 29918, 386, 3781, 29922, 313, 29945, 29900, 29892, 29871, 29896, 29945, 29900, 876, 30004, 13, 1678, 2320, 29918, 19541, 353, 577, 6596, 29918, 11082, 29918, 386, 3781, 29898, 2492, 29892, 577, 6596, 29918, 17460, 29892, 2320, 29918, 386, 3781, 29922, 313, 29947, 29900, 29892, 29871, 29896, 29945, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 25196, 19295, 993, 19975, 4279, 498, 12268, 292, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 11082, 29918, 19541, 29892, 274, 1958, 2433, 21012, 1495, 30004, 13, 29937, 1678, 2320, 29918, 19541, 30004, 13, 1678, 6756, 13, 1678, 396, 1523, 26062, 278, 16030, 266, 3781, 3361, 964, 263, 16165, 261, 296, 1967, 29892, 727, 1603, 1122, 367, 330, 2547, 988, 2927, 16897, 292, 5304, 297, 30004, 13, 1678, 12420, 29918, 19541, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 3972, 29918, 19541, 8443, 13, 29937, 1678, 12420, 29918, 19541, 15625, 5105, 29916, 29918, 19541, 1275, 29871, 29896, 29897, 891, 5135, 11082, 29918, 19541, 1275, 29871, 29896, 29897, 891, 313, 3972, 29918, 19541, 1275, 29871, 29896, 28166, 353, 29871, 29896, 30004, 13, 1678, 12420, 29918, 19541, 15625, 5105, 29916, 29918, 19541, 1275, 29871, 29896, 29897, 891, 5135, 11082, 29918, 19541, 1275, 29871, 29896, 29897, 669, 313, 3972, 29918, 19541, 1275, 29871, 29896, 28166, 353, 29871, 29896, 30004, 13, 1678, 396, 17743, 1312, 29918, 19541, 29961, 3552, 5105, 29916, 29918, 19541, 1275, 29871, 29896, 29897, 669, 313, 629, 3714, 29918, 19541, 1275, 29871, 29896, 876, 891, 5135, 11082, 29918, 19541, 1275, 29871, 29896, 29897, 669, 313, 3972, 29918, 19541, 1275, 29871, 29896, 28166, 353, 29871, 29896, 30004, 13, 30004, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 1523, 29890, 1312, 29479, 19295, 993, 498, 12268, 292, 313, 29990, 29892, 19095, 29892, 9170, 29897, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 17743, 1312, 29918, 19541, 29892, 274, 1958, 353, 525, 21012, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 30004, 13, 1678, 6756, 13, 1678, 7581, 29918, 2780, 353, 2927, 29918, 19541, 29898, 2492, 29892, 525, 29950, 8547, 742, 2927, 29918, 386, 3781, 353, 518, 29947, 29900, 29892, 29906, 29945, 29945, 2314, 30004, 13, 29937, 1678, 7581, 29918, 2780, 353, 2927, 29918, 19541, 29898, 2492, 29892, 525, 29950, 8547, 742, 2927, 29918, 386, 3781, 353, 518, 29947, 29900, 29892, 29896, 29947, 29900, 2314, 30004, 13, 1678, 6756, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 25196, 9159, 498, 12268, 292, 297, 379, 8547, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 19541, 29918, 2780, 29892, 274, 1958, 353, 525, 21012, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 30004, 13, 1678, 396, 16227, 675, 278, 12463, 12420, 16897, 292, 373, 278, 1243, 4558, 30004, 13, 1678, 2927, 29918, 5105, 29918, 17743, 1312, 353, 9016, 29918, 2780, 29918, 24970, 29898, 17743, 1312, 29918, 19541, 1919, 7581, 29918, 2780, 29897, 6756, 13, 1678, 6756, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 1523, 29890, 1312, 2927, 322, 16030, 2320, 16897, 292, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 2780, 29918, 5105, 29918, 17743, 1312, 29892, 274, 1958, 353, 525, 21012, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 1678, 6756, 13, 1678, 10153, 29918, 2311, 353, 10153, 29889, 12181, 30004, 13, 1678, 9210, 353, 29871, 29896, 29900, 29900, 30004, 13, 1678, 6756, 13, 1678, 4765, 353, 7442, 29889, 7411, 29941, 29906, 4197, 29898, 29906, 29900, 29900, 29892, 29871, 29955, 29906, 29900, 511, 313, 29945, 29947, 29900, 29892, 29871, 29946, 29947, 29900, 511, 313, 29955, 29906, 29900, 29892, 29871, 29946, 29947, 29900, 511, 313, 29896, 29900, 29945, 29900, 29892, 29871, 29955, 29906, 29900, 29897, 2314, 30004, 13, 1678, 29743, 353, 7442, 29889, 7411, 29941, 29906, 4197, 29898, 29906, 29947, 29900, 29892, 29871, 29955, 29906, 29900, 511, 313, 29946, 29900, 29900, 29892, 29871, 29896, 29929, 29900, 511, 313, 29929, 29906, 29900, 29892, 29871, 29896, 29929, 29900, 511, 313, 29929, 29953, 29900, 29892, 29871, 29955, 29906, 29900, 29897, 2314, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 12551, 29918, 9748, 353, 7442, 29889, 7411, 29941, 29906, 4197, 29961, 10289, 29892, 10153, 29918, 2311, 29961, 29896, 29962, 29899, 10289, 1402, 518, 2492, 29918, 2311, 29961, 29900, 29962, 29899, 10289, 29892, 10153, 29918, 2311, 29961, 29896, 29962, 29899, 10289, 1402, 6756, 13, 462, 462, 268, 518, 2492, 29918, 2311, 29961, 29900, 29962, 29899, 10289, 29892, 9210, 1402, 6756, 13, 462, 462, 268, 518, 10289, 29892, 9210, 24960, 30004, 13, 1678, 6756, 13, 1678, 2752, 29918, 9748, 353, 7442, 29889, 7411, 29941, 29906, 3552, 29961, 29946, 29945, 29900, 29892, 29955, 29947, 29900, 1402, 518, 29953, 29947, 29900, 29892, 29871, 29896, 29900, 29945, 29900, 1402, 518, 29953, 29947, 29900, 29892, 29906, 29945, 29900, 1402, 518, 29946, 29945, 29900, 29892, 29871, 29945, 29900, 29900, 12622, 30004, 13, 30004, 13, 1678, 7581, 29918, 4495, 9795, 29892, 341, 29892, 3080, 29894, 353, 1370, 29886, 29898, 2780, 29918, 5105, 29918, 17743, 1312, 29892, 4351, 29892, 29743, 8443, 13, 1678, 396, 4495, 9795, 29918, 3027, 29918, 1688, 353, 1370, 29886, 29898, 2492, 29892, 4993, 29918, 9748, 29892, 12551, 29918, 9748, 8443, 13, 1678, 6756, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 6756, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 19541, 29918, 4495, 9795, 29892, 274, 1958, 2433, 21012, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 29937, 1678, 6756, 13, 29937, 1678, 6756, 13, 29937, 1678, 1053, 12655, 408, 7442, 30004, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 9825, 13342, 353, 7442, 29889, 2083, 29898, 19541, 29918, 4495, 9795, 29961, 19541, 29918, 4495, 9795, 29889, 12181, 29961, 29900, 29962, 458, 29906, 29901, 29892, 29901, 1402, 9685, 29922, 29900, 8443, 13, 29937, 1678, 14770, 29889, 5317, 29898, 29882, 391, 13342, 8443, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 29937, 1678, 6756, 13, 1678, 396, 8139, 287, 278, 1196, 848, 304, 367, 21242, 1250, 714, 30004, 13, 1678, 714, 29892, 2175, 29918, 9202, 29916, 29892, 1492, 29918, 9202, 29916, 29892, 6492, 29891, 353, 15680, 9202, 29898, 19541, 29918, 4495, 9795, 29892, 2492, 29892, 3080, 29894, 8443, 13, 29937, 1678, 714, 353, 13850, 29906, 29889, 11023, 29873, 3306, 29898, 449, 29892, 13850, 29906, 29889, 15032, 1955, 29918, 29933, 14345, 29906, 28212, 8443, 13, 1678, 736, 714, 30004, 13, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 4136, 2277, 29937, 2683, 28400, 30004, 13, 2277, 359, 29889, 5205, 703, 600, 20856, 448, 29875, 2060, 29918, 9641, 29889, 1526, 29946, 448, 29894, 29888, 285, 567, 29922, 29896, 29945, 29914, 29896, 714, 29918, 29995, 29900, 29941, 29881, 29889, 6173, 29915, 30004, 13, 3057, 29918, 15167, 29918, 3972, 353, 2897, 29889, 1761, 3972, 703, 1688, 29918, 29894, 7958, 29914, 1159, 30004, 13, 9641, 29918, 4905, 353, 525, 4836, 29918, 9641, 29918, 4905, 29889, 1526, 29946, 29915, 30004, 13, 24049, 29896, 353, 13987, 2283, 29907, 3466, 703, 1688, 29918, 29894, 7958, 29914, 4836, 29918, 9641, 29889, 1526, 29946, 2564, 1491, 24049, 29898, 29896, 29941, 29892, 29896, 29947, 8443, 13, 29937, 24049, 29896, 353, 13987, 2283, 29907, 3466, 703, 1688, 29918, 29894, 7958, 29914, 4836, 29918, 9641, 29889, 1526, 29946, 1159, 29871, 6756, 13, 24049, 353, 20102, 29896, 29889, 1579, 29918, 3027, 29898, 5014, 29918, 3027, 29897, 396, 12256, 29923, 29901, 445, 740, 23347, 2927, 4558, 6824, 30004, 13, 24049, 29889, 3539, 29918, 29894, 680, 974, 488, 29898, 9641, 29918, 4905, 29892, 10348, 29922, 8824, 8443, 13, 29871, 396, 2683, 2683, 1378, 5634, 29871, 6756, 13, 268, 2 ]
src/sentry/web/debug_urls.py	uandco/sentry	2	193152	<filename>src/sentry/web/debug_urls.py from __future__ import absolute_import from django.conf.urls import patterns, url from django.views.generic import TemplateView import sentry.web.frontend.debug.mail from sentry.web.frontend.debug.debug_assigned_email import ( DebugAssignedEmailView, DebugSelfAssignedEmailView, DebugSelfAssignedTeamEmailView ) from sentry.web.frontend.debug.debug_trigger_error import (DebugTriggerErrorView) from sentry.web.frontend.debug.debug_error_embed import (DebugErrorPageEmbedView) from sentry.web.frontend.debug.debug_incident_activity_email import DebugIncidentActivityEmailView from sentry.web.frontend.debug.debug_invalid_identity_email import DebugInvalidIdentityEmailView from sentry.web.frontend.debug.debug_mfa_added_email import (DebugMfaAddedEmailView) from sentry.web.frontend.debug.debug_mfa_removed_email import (DebugMfaRemovedEmailView) from sentry.web.frontend.debug.debug_new_release_email import (DebugNewReleaseEmailView) from sentry.web.frontend.debug.debug_new_user_feedback_email import (DebugNewUserFeedbackEmailView) from sentry.web.frontend.debug.debug_note_email import DebugNoteEmailView from sentry.web.frontend.debug.debug_password_changed_email import (DebugPasswordChangedEmailView) from sentry.web.frontend.debug.debug_recovery_codes_regenerated_email import ( DebugRecoveryCodesRegeneratedEmailView) from sentry.web.frontend.debug.debug_regression_email import ( DebugRegressionEmailView, DebugRegressionReleaseEmailView ) from sentry.web.frontend.debug.debug_resolved_email import (DebugResolvedEmailView) from sentry.web.frontend.debug.debug_resolved_in_release_email import ( DebugResolvedInReleaseEmailView, DebugResolvedInReleaseUpcomingEmailView ) from sentry.web.frontend.debug.debug_unable_to_delete_repository import DebugUnableToDeleteRepository from sentry.web.frontend.debug.debug_unable_to_fetch_commits_email import DebugUnableToFetchCommitsEmailView from sentry.web.frontend.debug.debug_unassigned_email import (DebugUnassignedEmailView) from sentry.web.frontend.debug.debug_new_processing_issues_email import ( DebugNewProcessingIssuesEmailView, DebugNewProcessingIssuesNoReprocessingEmailView, ) from sentry.web.frontend.debug.debug_sso_link_email import ( DebugSsoLinkedEmailView, DebugSsoUnlinkedEmailView, DebugSsoUnlinkedNoPasswordEmailView, ) from sentry.web.frontend.debug.debug_setup_2fa_email import DebugSetup2faEmailView from sentry.web.frontend.debug import debug_auth_views from sentry.web.frontend.debug.debug_oauth_authorize import ( DebugOAuthAuthorizeView, DebugOAuthAuthorizeErrorView, ) urlpatterns = patterns( '', url(r'^debug/mail/alert/$', sentry.web.frontend.debug.mail.alert), url(r'^debug/mail/note/$', DebugNoteEmailView.as_view()), url(r'^debug/mail/new-release/$', DebugNewReleaseEmailView.as_view()), url(r'^debug/mail/new-user-feedback/$', DebugNewUserFeedbackEmailView.as_view()), url(r'^debug/mail/assigned/$', DebugAssignedEmailView.as_view()), url(r'^debug/mail/assigned/self/$', DebugSelfAssignedEmailView.as_view()), url(r'^debug/mail/assigned/team/$', DebugSelfAssignedTeamEmailView.as_view()), url(r'^debug/mail/digest/$', sentry.web.frontend.debug.mail.digest), url(r'^debug/mail/report/$', sentry.web.frontend.debug.mail.report), url(r'^debug/mail/regression/$', DebugRegressionEmailView.as_view()), url(r'^debug/mail/regression/release/$', DebugRegressionReleaseEmailView.as_view()), url(r'^debug/mail/resolved/$', DebugResolvedEmailView.as_view()), url(r'^debug/mail/resolved-in-release/$', DebugResolvedInReleaseEmailView.as_view()), url( r'^debug/mail/resolved-in-release/upcoming/$', DebugResolvedInReleaseUpcomingEmailView.as_view() ), url(r'^debug/mail/request-access/$', sentry.web.frontend.debug.mail.request_access), url(r'^debug/mail/access-approved/$', sentry.web.frontend.debug.mail.access_approved), url(r'^debug/mail/invitation/$', sentry.web.frontend.debug.mail.invitation), url(r'^debug/mail/invalid-identity/$', DebugInvalidIdentityEmailView.as_view()), url(r'^debug/mail/confirm-email/$', sentry.web.frontend.debug.mail.confirm_email), url(r'^debug/mail/recover-account/$', sentry.web.frontend.debug.mail.recover_account), url(r'^debug/mail/unable-to-delete-repo/$', DebugUnableToDeleteRepository.as_view()), url(r'^debug/mail/unable-to-fetch-commits/$', DebugUnableToFetchCommitsEmailView.as_view()), url(r'^debug/mail/unassigned/$', DebugUnassignedEmailView.as_view()), url(r'^debug/mail/org-delete-confirm/$', sentry.web.frontend.debug.mail.org_delete_confirm), url(r'^debug/mail/mfa-removed/$', DebugMfaRemovedEmailView.as_view()), url(r'^debug/mail/mfa-added/$', DebugMfaAddedEmailView.as_view()), url(r'^debug/mail/recovery-codes-regenerated/$', DebugRecoveryCodesRegeneratedEmailView.as_view()), url(r'^debug/mail/password-changed/$', DebugPasswordChangedEmailView.as_view()), url(r'^debug/mail/new-processing-issues/$', DebugNewProcessingIssuesEmailView.as_view()), url( r'^debug/mail/new-processing-issues-no-reprocessing/$', DebugNewProcessingIssuesNoReprocessingEmailView.as_view() ), url(r'^debug/mail/sso-linked/$', DebugSsoLinkedEmailView.as_view()), url(r'^debug/mail/sso-unlinked/$', DebugSsoUnlinkedEmailView.as_view()), url(r'^debug/mail/sso-unlinked/no-password$', DebugSsoUnlinkedNoPasswordEmailView.as_view()), url(r'^debug/mail/incident-activity$', DebugIncidentActivityEmailView.as_view()), url(r'^debug/mail/setup-2fa/$', DebugSetup2faEmailView.as_view()), url(r'^debug/embed/error-page/$', DebugErrorPageEmbedView.as_view()), url(r'^debug/trigger-error/$', DebugTriggerErrorView.as_view()), url(r'^debug/auth-confirm-identity/$', debug_auth_views.DebugAuthConfirmIdentity.as_view()), url(r'^debug/auth-confirm-link/$', debug_auth_views.DebugAuthConfirmLink.as_view()), url(r'^debug/sudo/$', TemplateView.as_view(template_name='sentry/account/sudo.html')), url(r'^debug/oauth/authorize/$', DebugOAuthAuthorizeView.as_view()), url(r'^debug/oauth/authorize/error/$', DebugOAuthAuthorizeErrorView.as_view()), url(r'^debug/icons/$', TemplateView.as_view(template_name='sentry/debug/icons.html')), )	[ 1, 529, 9507, 29958, 4351, 29914, 29879, 8269, 29914, 2676, 29914, 8382, 29918, 26045, 29889, 2272, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 13, 3166, 9557, 29889, 5527, 29889, 26045, 1053, 15038, 29892, 3142, 13, 3166, 9557, 29889, 7406, 29889, 19206, 1053, 25663, 1043, 13, 13, 5215, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 13, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 465, 12961, 29918, 5269, 1053, 313, 13, 1678, 16171, 7900, 12961, 9823, 1043, 29892, 16171, 24313, 7900, 12961, 9823, 1043, 29892, 16171, 24313, 7900, 12961, 19409, 9823, 1043, 13, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 21001, 29918, 2704, 1053, 313, 11862, 20211, 2392, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 2704, 29918, 17987, 1053, 313, 11862, 2392, 5074, 6026, 2580, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 3742, 1693, 29918, 10072, 29918, 5269, 1053, 16171, 797, 29883, 1693, 3886, 9823, 1043, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 20965, 29918, 22350, 29918, 5269, 1053, 16171, 13919, 18415, 9823, 1043, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 29885, 5444, 29918, 23959, 29918, 5269, 1053, 313, 11862, 29924, 5444, 2528, 287, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 29885, 5444, 29918, 1745, 8238, 29918, 5269, 1053, 313, 11862, 29924, 5444, 7301, 8238, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 1482, 29918, 14096, 29918, 5269, 1053, 313, 11862, 4373, 19729, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 1482, 29918, 1792, 29918, 18798, 1627, 29918, 5269, 1053, 313, 11862, 4373, 2659, 29737, 1627, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 6812, 29918, 5269, 1053, 16171, 9842, 9823, 1043, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 5630, 29918, 15033, 29918, 5269, 1053, 313, 11862, 10048, 7590, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 3757, 22205, 29918, 18137, 29918, 1727, 759, 630, 29918, 5269, 1053, 313, 13, 1678, 16171, 4789, 22205, 29907, 2631, 4597, 759, 630, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 276, 11476, 29918, 5269, 1053, 313, 13, 1678, 16171, 4597, 23881, 9823, 1043, 29892, 16171, 4597, 23881, 19729, 9823, 1043, 13, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 9778, 1490, 29918, 5269, 1053, 313, 11862, 12375, 1490, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 9778, 1490, 29918, 262, 29918, 14096, 29918, 5269, 1053, 313, 13, 1678, 16171, 12375, 1490, 797, 19729, 9823, 1043, 29892, 16171, 12375, 1490, 797, 19729, 3373, 11506, 9823, 1043, 13, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 348, 519, 29918, 517, 29918, 8143, 29918, 19033, 1053, 16171, 2525, 519, 1762, 12498, 11481, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 348, 519, 29918, 517, 29918, 9155, 29918, 2055, 1169, 29918, 5269, 1053, 16171, 2525, 519, 1762, 20927, 5261, 1169, 9823, 1043, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 348, 465, 12961, 29918, 5269, 1053, 313, 11862, 2525, 465, 12961, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 1482, 29918, 19170, 29918, 12175, 29918, 5269, 1053, 313, 13, 1678, 16171, 4373, 7032, 292, 29902, 893, 1041, 9823, 1043, 29892, 13, 1678, 16171, 4373, 7032, 292, 29902, 893, 1041, 3782, 1123, 19170, 9823, 1043, 29892, 13, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 29879, 578, 29918, 2324, 29918, 5269, 1053, 313, 13, 1678, 16171, 29903, 578, 6595, 287, 9823, 1043, 29892, 13, 1678, 16171, 29903, 578, 2525, 2324, 287, 9823, 1043, 29892, 13, 1678, 16171, 29903, 578, 2525, 2324, 287, 3782, 10048, 9823, 1043, 29892, 13, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 14669, 29918, 29906, 5444, 29918, 5269, 1053, 16171, 26947, 29906, 5444, 9823, 1043, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 1053, 4744, 29918, 5150, 29918, 7406, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 23106, 29918, 8921, 675, 1053, 313, 13, 1678, 16171, 29949, 6444, 13720, 675, 1043, 29892, 13, 1678, 16171, 29949, 6444, 13720, 675, 2392, 1043, 29892, 13, 29897, 13, 13, 2271, 11037, 29879, 353, 15038, 29898, 13, 1678, 15516, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 12888, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 12888, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 6812, 13346, 742, 16171, 9842, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 1482, 29899, 14096, 13346, 742, 16171, 4373, 19729, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 1482, 29899, 1792, 29899, 18798, 1627, 13346, 742, 16171, 4373, 2659, 29737, 1627, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 465, 12961, 13346, 742, 16171, 7900, 12961, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 465, 12961, 29914, 1311, 13346, 742, 16171, 24313, 7900, 12961, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 465, 12961, 29914, 14318, 13346, 742, 16171, 24313, 7900, 12961, 19409, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 7501, 342, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 7501, 342, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 12276, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 12276, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 276, 11476, 13346, 742, 16171, 4597, 23881, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 276, 11476, 29914, 14096, 13346, 742, 16171, 4597, 23881, 19729, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 9778, 1490, 13346, 742, 16171, 12375, 1490, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 9778, 1490, 29899, 262, 29899, 14096, 13346, 742, 16171, 12375, 1490, 797, 19729, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 13, 4706, 364, 29915, 29985, 8382, 29914, 2549, 29914, 9778, 1490, 29899, 262, 29899, 14096, 29914, 786, 11506, 13346, 742, 13, 4706, 16171, 12375, 1490, 797, 19729, 3373, 11506, 9823, 1043, 29889, 294, 29918, 1493, 580, 13, 1678, 10353, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 3827, 29899, 5943, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 3827, 29918, 5943, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 5943, 29899, 9961, 1490, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 5943, 29918, 9961, 1490, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 11569, 7018, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 11569, 7018, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 20965, 29899, 22350, 13346, 742, 16171, 13919, 18415, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 26897, 29899, 5269, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 26897, 29918, 5269, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 3757, 957, 29899, 10149, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 3757, 957, 29918, 10149, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 348, 519, 29899, 517, 29899, 8143, 29899, 20095, 13346, 742, 16171, 2525, 519, 1762, 12498, 11481, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 348, 519, 29899, 517, 29899, 9155, 29899, 2055, 1169, 13346, 742, 16171, 2525, 519, 1762, 20927, 5261, 1169, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 348, 465, 12961, 13346, 742, 16171, 2525, 465, 12961, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 990, 29899, 8143, 29899, 26897, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 990, 29918, 8143, 29918, 26897, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 29885, 5444, 29899, 1745, 8238, 13346, 742, 16171, 29924, 5444, 7301, 8238, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 29885, 5444, 29899, 23959, 13346, 742, 16171, 29924, 5444, 2528, 287, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 3757, 22205, 29899, 18137, 29899, 1727, 759, 630, 13346, 742, 13, 4706, 16171, 4789, 22205, 29907, 2631, 4597, 759, 630, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 5630, 29899, 15033, 13346, 742, 16171, 10048, 7590, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 1482, 29899, 19170, 29899, 12175, 13346, 742, 16171, 4373, 7032, 292, 29902, 893, 1041, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 13, 4706, 364, 29915, 29985, 8382, 29914, 2549, 29914, 1482, 29899, 19170, 29899, 12175, 29899, 1217, 29899, 276, 19170, 13346, 742, 13, 4706, 16171, 4373, 7032, 292, 29902, 893, 1041, 3782, 1123, 19170, 9823, 1043, 29889, 294, 29918, 1493, 580, 13, 1678, 10353, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 29879, 578, 29899, 2324, 287, 13346, 742, 16171, 29903, 578, 6595, 287, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 29879, 578, 29899, 348, 2324, 287, 13346, 742, 16171, 29903, 578, 2525, 2324, 287, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 29879, 578, 29899, 348, 2324, 287, 29914, 1217, 29899, 5630, 29938, 742, 16171, 29903, 578, 2525, 2324, 287, 3782, 10048, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 3742, 1693, 29899, 10072, 29938, 742, 16171, 797, 29883, 1693, 3886, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 14669, 29899, 29906, 5444, 13346, 742, 16171, 26947, 29906, 5444, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 17987, 29914, 2704, 29899, 3488, 13346, 742, 16171, 2392, 5074, 6026, 2580, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 21001, 29899, 2704, 13346, 742, 16171, 20211, 2392, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 5150, 29899, 26897, 29899, 22350, 13346, 742, 4744, 29918, 5150, 29918, 7406, 29889, 11862, 6444, 16376, 3568, 18415, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 5150, 29899, 26897, 29899, 2324, 13346, 742, 4744, 29918, 5150, 29918, 7406, 29889, 11862, 6444, 16376, 3568, 6595, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 15360, 13346, 742, 25663, 1043, 29889, 294, 29918, 1493, 29898, 6886, 29918, 978, 2433, 29879, 8269, 29914, 10149, 29914, 15360, 29889, 1420, 1495, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 23106, 29914, 8921, 675, 13346, 742, 16171, 29949, 6444, 13720, 675, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 23106, 29914, 8921, 675, 29914, 2704, 13346, 742, 16171, 29949, 6444, 13720, 675, 2392, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 27078, 13346, 742, 25663, 1043, 29889, 294, 29918, 1493, 29898, 6886, 29918, 978, 2433, 29879, 8269, 29914, 8382, 29914, 27078, 29889, 1420, 1495, 511, 13, 29897, 13, 2 ]
geomapzw/toolbar.py	faraigit/geomapzw	0	92368	import os import ipywidgets as widgets from ipyleaflet import WidgetControl from ipyfilechooser import FileChooser from IPython.display import display def main_toolbar(m): padding = "0px 0px 0px 5px" # upper, right, bottom, left toolbar_button = widgets.ToggleButton( value=False, tooltip="Toolbar", icon="wrench", layout=widgets.Layout(width="28px", height="28px", padding=padding), ) close_button = widgets.ToggleButton( value=False, tooltip="Close the tool", icon="times", button_style="primary", layout=widgets.Layout(height="28px", width="28px", padding=padding), ) toolbar = widgets.HBox([toolbar_button]) def close_click(change): if change["new"]: toolbar_button.close() close_button.close() toolbar.close() close_button.observe(close_click, "value") rows = 2 cols = 2 grid = widgets.GridspecLayout( rows, cols, grid_gap="0px", layout=widgets.Layout(width="62px") ) icons = ["folder-open", "map", "gears", "map-marker"] for i in range(rows): for j in range(cols): grid[i, j] = widgets.Button( description="", button_style="primary", icon=icons[i * rows + j], layout=widgets.Layout(width="28px", padding="0px"), ) toolbar = widgets.VBox([toolbar_button]) def toolbar_click(change): if change["new"]: toolbar.children = [widgets.HBox([close_button, toolbar_button]), grid] else: toolbar.children = [toolbar_button] toolbar_button.observe(toolbar_click, "value") toolbar_ctrl = WidgetControl(widget=toolbar, position="topright") m.add_control(toolbar_ctrl) output = widgets.Output() output_ctrl = WidgetControl(widget=output, position="topright") buttons = widgets.ToggleButtons( value=None, options=["Apply", "Reset", "Close"], tooltips=["Apply", "Reset", "Close"], button_style="primary", ) buttons.style.button_width = "80px" data_dir = os.path.abspath("./data") fc = FileChooser(data_dir) fc.use_dir_icons = True fc.filter_pattern = [".shp", ".geojson"] filechooser_widget = widgets.VBox([fc, buttons]) def button_click(change): if change["new"] == "Apply" and fc.selected is not None: if fc.selected.endswith(".shp"): m.add_shapefile(fc.selected, layer_name="Shapefile") elif fc.selected.endswith(".geojson"): m.add_geojson(fc.selected, layer_name="GeoJSON") elif change["new"] == "Reset": fc.reset() elif change["new"] == "Close": fc.reset() m.remove_control(output_ctrl) buttons.value = None buttons.observe(button_click, "value") def tool_click(b): with output: output.clear_output() if b.icon == "folder-open": display(filechooser_widget) m.add_control(output_ctrl) elif b.icon == "gears": import whiteboxgui.whiteboxgui as wbt if hasattr(m, "whitebox") and m.whitebox is not None: if m.whitebox in m.controls: m.remove_control(m.whitebox) tools_dict = wbt.get_wbt_dict() wbt_toolbox = wbt.build_toolbox( tools_dict, max_width="800px", max_height="500px" ) wbt_control = WidgetControl(widget=wbt_toolbox, position="bottomright") m.whitebox = wbt_control m.add_control(wbt_control) elif b.icon == "map-marker": fc = FileChooser(data_dir) fc.use_dir_icons = True fc.filter_pattern = ["*.csv"] x_widget = widgets.Dropdown( description="X:", layout=widgets.Layout(width="122px", padding="0px"), style={"description_width": "initial"}, ) y_widget = widgets.Dropdown( description="Y:", layout=widgets.Layout(width="122px", padding="0px"), style={"description_width": "initial"}, ) label_widget = widgets.Dropdown( description="Label:", layout=widgets.Layout(width="248px", padding="0px"), style={"description_width": "initial"}, ) layer_widget = widgets.Text( description="Layer name: ", value="Marker cluster", layout=widgets.Layout(width="248px", padding="0px"), style={"description_width": "initial"}, ) btns = widgets.ToggleButtons( value=None, options=["Read data", "Display", "Close"], tooltips=["Read data", "Display", "Close"], button_style="primary", ) btns.style.button_width = "80px" def btn_click(change): if change["new"] == "Read data" and fc.selected is not None: import pandas as pd df = pd.read_csv(fc.selected) col_names = df.columns.values.tolist() x_widget.options = col_names y_widget.options = col_names label_widget.options = col_names if "longitude" in col_names: x_widget.value = "longitude" if "latitude" in col_names: y_widget.value = "latitude" if "name" in col_names: label_widget.value = "name" elif change["new"] == "Display": if x_widget.value is not None and (y_widget.value is not None): m.add_points_from_csv( fc.selected, x=x_widget.value, y=y_widget.value, label=label_widget.value, layer_name=layer_widget.value, ) elif change["new"] == "Close": fc.reset() m.remove_control(output_ctrl) btns.observe(btn_click, "value") csv_widget = widgets.VBox( [ fc, widgets.HBox([x_widget, y_widget]), label_widget, layer_widget, btns, ] ) display(csv_widget) m.add_control(output_ctrl) for i in range(rows): for j in range(cols): tool = grid[i, j] tool.on_click(tool_click)	[ 1, 1053, 2897, 13, 5215, 474, 2272, 8030, 29879, 408, 11109, 29879, 13, 3166, 10377, 1508, 2142, 1026, 1053, 27080, 4809, 13, 3166, 474, 2272, 1445, 1859, 22969, 1053, 3497, 15954, 22969, 13, 3166, 5641, 1656, 29889, 4990, 1053, 2479, 13, 13, 13, 1753, 1667, 29918, 10154, 1646, 29898, 29885, 1125, 13, 13, 1678, 7164, 353, 376, 29900, 1756, 29871, 29900, 1756, 29871, 29900, 1756, 29871, 29945, 1756, 29908, 29871, 396, 7568, 29892, 1492, 29892, 5970, 29892, 2175, 13, 13, 1678, 29840, 29918, 3092, 353, 11109, 29879, 29889, 27199, 3125, 29898, 13, 4706, 995, 29922, 8824, 29892, 13, 4706, 5780, 12632, 543, 12229, 1646, 613, 13, 4706, 9849, 543, 29893, 4615, 613, 13, 4706, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29906, 29947, 1756, 613, 3171, 543, 29906, 29947, 1756, 613, 7164, 29922, 12791, 511, 13, 1678, 1723, 13, 13, 1678, 3802, 29918, 3092, 353, 11109, 29879, 29889, 27199, 3125, 29898, 13, 4706, 995, 29922, 8824, 29892, 13, 4706, 5780, 12632, 543, 11123, 278, 5780, 613, 13, 4706, 9849, 543, 3706, 613, 13, 4706, 2826, 29918, 3293, 543, 16072, 613, 13, 4706, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 3545, 543, 29906, 29947, 1756, 613, 2920, 543, 29906, 29947, 1756, 613, 7164, 29922, 12791, 511, 13, 1678, 1723, 13, 13, 1678, 29840, 353, 11109, 29879, 29889, 29950, 3313, 4197, 10154, 1646, 29918, 3092, 2314, 13, 13, 1678, 822, 3802, 29918, 3808, 29898, 3167, 1125, 13, 4706, 565, 1735, 3366, 1482, 3108, 29901, 13, 9651, 29840, 29918, 3092, 29889, 5358, 580, 13, 9651, 3802, 29918, 3092, 29889, 5358, 580, 13, 9651, 29840, 29889, 5358, 580, 13, 13, 1678, 3802, 29918, 3092, 29889, 711, 16349, 29898, 5358, 29918, 3808, 29892, 376, 1767, 1159, 13, 13, 1678, 4206, 353, 29871, 29906, 13, 1678, 28730, 353, 29871, 29906, 13, 1678, 6856, 353, 11109, 29879, 29889, 5756, 6550, 3453, 29898, 13, 4706, 4206, 29892, 28730, 29892, 6856, 29918, 29887, 481, 543, 29900, 1756, 613, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29953, 29906, 1756, 1159, 13, 1678, 1723, 13, 13, 1678, 27673, 353, 6796, 12083, 29899, 3150, 613, 376, 1958, 613, 376, 479, 1503, 613, 376, 1958, 29899, 22976, 3108, 13, 13, 1678, 363, 474, 297, 3464, 29898, 5727, 1125, 13, 4706, 363, 432, 297, 3464, 29898, 22724, 1125, 13, 9651, 6856, 29961, 29875, 29892, 432, 29962, 353, 11109, 29879, 29889, 3125, 29898, 13, 18884, 6139, 543, 613, 13, 18884, 2826, 29918, 3293, 543, 16072, 613, 13, 18884, 9849, 29922, 27078, 29961, 29875, 334, 4206, 718, 432, 1402, 13, 18884, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29906, 29947, 1756, 613, 7164, 543, 29900, 1756, 4968, 13, 9651, 1723, 13, 13, 1678, 29840, 353, 11109, 29879, 29889, 29963, 3313, 4197, 10154, 1646, 29918, 3092, 2314, 13, 13, 1678, 822, 29840, 29918, 3808, 29898, 3167, 1125, 13, 4706, 565, 1735, 3366, 1482, 3108, 29901, 13, 9651, 29840, 29889, 11991, 353, 518, 8030, 29879, 29889, 29950, 3313, 4197, 5358, 29918, 3092, 29892, 29840, 29918, 3092, 11724, 6856, 29962, 13, 4706, 1683, 29901, 13, 9651, 29840, 29889, 11991, 353, 518, 10154, 1646, 29918, 3092, 29962, 13, 13, 1678, 29840, 29918, 3092, 29889, 711, 16349, 29898, 10154, 1646, 29918, 3808, 29892, 376, 1767, 1159, 13, 13, 1678, 29840, 29918, 24220, 353, 27080, 4809, 29898, 8030, 29922, 10154, 1646, 29892, 2602, 543, 3332, 1266, 1159, 13, 13, 1678, 286, 29889, 1202, 29918, 6451, 29898, 10154, 1646, 29918, 24220, 29897, 13, 13, 1678, 1962, 353, 11109, 29879, 29889, 6466, 580, 13, 1678, 1962, 29918, 24220, 353, 27080, 4809, 29898, 8030, 29922, 4905, 29892, 2602, 543, 3332, 1266, 1159, 13, 13, 1678, 9828, 353, 11109, 29879, 29889, 27199, 29819, 787, 29898, 13, 4706, 995, 29922, 8516, 29892, 13, 4706, 3987, 29922, 3366, 2052, 368, 613, 376, 27175, 613, 376, 11123, 12436, 13, 4706, 5780, 2034, 567, 29922, 3366, 2052, 368, 613, 376, 27175, 613, 376, 11123, 12436, 13, 4706, 2826, 29918, 3293, 543, 16072, 613, 13, 1678, 1723, 13, 1678, 9828, 29889, 3293, 29889, 3092, 29918, 2103, 353, 376, 29947, 29900, 1756, 29908, 13, 13, 1678, 848, 29918, 3972, 353, 2897, 29889, 2084, 29889, 370, 1028, 493, 703, 6904, 1272, 1159, 13, 13, 1678, 285, 29883, 353, 3497, 15954, 22969, 29898, 1272, 29918, 3972, 29897, 13, 1678, 285, 29883, 29889, 1509, 29918, 3972, 29918, 27078, 353, 5852, 13, 1678, 285, 29883, 29889, 4572, 29918, 11037, 353, 6796, 10521, 845, 29886, 613, 376, 10521, 24756, 3126, 3108, 13, 13, 1678, 934, 1859, 22969, 29918, 8030, 353, 11109, 29879, 29889, 29963, 3313, 4197, 13801, 29892, 9828, 2314, 13, 13, 1678, 822, 2826, 29918, 3808, 29898, 3167, 1125, 13, 4706, 565, 1735, 3366, 1482, 3108, 1275, 376, 2052, 368, 29908, 322, 285, 29883, 29889, 8391, 338, 451, 6213, 29901, 13, 9651, 565, 285, 29883, 29889, 8391, 29889, 1975, 2541, 17350, 845, 29886, 29908, 1125, 13, 18884, 286, 29889, 1202, 29918, 12181, 1445, 29898, 13801, 29889, 8391, 29892, 7546, 29918, 978, 543, 24111, 1445, 1159, 13, 9651, 25342, 285, 29883, 29889, 8391, 29889, 1975, 2541, 17350, 24756, 3126, 29908, 1125, 13, 18884, 286, 29889, 1202, 29918, 24756, 3126, 29898, 13801, 29889, 8391, 29892, 7546, 29918, 978, 543, 7999, 29877, 7249, 1159, 13, 4706, 25342, 1735, 3366, 1482, 3108, 1275, 376, 27175, 1115, 13, 9651, 285, 29883, 29889, 12071, 580, 13, 4706, 25342, 1735, 3366, 1482, 3108, 1275, 376, 11123, 1115, 13, 9651, 285, 29883, 29889, 12071, 580, 13, 9651, 286, 29889, 5992, 29918, 6451, 29898, 4905, 29918, 24220, 29897, 13, 9651, 9828, 29889, 1767, 353, 6213, 13, 13, 1678, 9828, 29889, 711, 16349, 29898, 3092, 29918, 3808, 29892, 376, 1767, 1159, 13, 13, 1678, 822, 5780, 29918, 3808, 29898, 29890, 1125, 13, 4706, 411, 1962, 29901, 13, 9651, 1962, 29889, 8551, 29918, 4905, 580, 13, 9651, 565, 289, 29889, 4144, 1275, 376, 12083, 29899, 3150, 1115, 13, 18884, 2479, 29898, 1445, 1859, 22969, 29918, 8030, 29897, 13, 18884, 286, 29889, 1202, 29918, 6451, 29898, 4905, 29918, 24220, 29897, 13, 9651, 25342, 289, 29889, 4144, 1275, 376, 479, 1503, 1115, 13, 18884, 1053, 4796, 1884, 23569, 29889, 10921, 1884, 23569, 408, 281, 3116, 13, 13, 18884, 565, 756, 5552, 29898, 29885, 29892, 376, 10921, 1884, 1159, 322, 286, 29889, 10921, 1884, 338, 451, 6213, 29901, 13, 462, 1678, 565, 286, 29889, 10921, 1884, 297, 286, 29889, 26255, 29901, 13, 462, 4706, 286, 29889, 5992, 29918, 6451, 29898, 29885, 29889, 10921, 1884, 29897, 13, 13, 18884, 8492, 29918, 8977, 353, 281, 3116, 29889, 657, 29918, 29893, 3116, 29918, 8977, 580, 13, 18884, 281, 3116, 29918, 10154, 1884, 353, 281, 3116, 29889, 4282, 29918, 10154, 1884, 29898, 13, 462, 1678, 8492, 29918, 8977, 29892, 4236, 29918, 2103, 543, 29947, 29900, 29900, 1756, 613, 4236, 29918, 3545, 543, 29945, 29900, 29900, 1756, 29908, 13, 18884, 1723, 13, 13, 18884, 281, 3116, 29918, 6451, 353, 27080, 4809, 29898, 8030, 29922, 29893, 3116, 29918, 10154, 1884, 29892, 2602, 543, 8968, 1266, 1159, 13, 13, 18884, 286, 29889, 10921, 1884, 353, 281, 3116, 29918, 6451, 13, 18884, 286, 29889, 1202, 29918, 6451, 29898, 29893, 3116, 29918, 6451, 29897, 13, 13, 9651, 25342, 289, 29889, 4144, 1275, 376, 1958, 29899, 22976, 1115, 13, 18884, 285, 29883, 353, 3497, 15954, 22969, 29898, 1272, 29918, 3972, 29897, 13, 18884, 285, 29883, 29889, 1509, 29918, 3972, 29918, 27078, 353, 5852, 13, 18884, 285, 29883, 29889, 4572, 29918, 11037, 353, 6796, 10521, 7638, 3108, 13, 13, 18884, 921, 29918, 8030, 353, 11109, 29879, 29889, 15063, 3204, 29898, 13, 462, 1678, 6139, 543, 29990, 29901, 613, 13, 462, 1678, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29896, 29906, 29906, 1756, 613, 7164, 543, 29900, 1756, 4968, 13, 462, 1678, 3114, 3790, 29908, 8216, 29918, 2103, 1115, 376, 11228, 10758, 13, 18884, 1723, 13, 18884, 343, 29918, 8030, 353, 11109, 29879, 29889, 15063, 3204, 29898, 13, 462, 1678, 6139, 543, 29979, 29901, 613, 13, 462, 1678, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29896, 29906, 29906, 1756, 613, 7164, 543, 29900, 1756, 4968, 13, 462, 1678, 3114, 3790, 29908, 8216, 29918, 2103, 1115, 376, 11228, 10758, 13, 18884, 1723, 13, 13, 18884, 3858, 29918, 8030, 353, 11109, 29879, 29889, 15063, 3204, 29898, 13, 462, 1678, 6139, 543, 4775, 29901, 613, 13, 462, 1678, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29906, 29946, 29947, 1756, 613, 7164, 543, 29900, 1756, 4968, 13, 462, 1678, 3114, 3790, 29908, 8216, 29918, 2103, 1115, 376, 11228, 10758, 13, 18884, 1723, 13, 13, 18884, 7546, 29918, 8030, 353, 11109, 29879, 29889, 1626, 29898, 13, 462, 1678, 6139, 543, 14420, 1024, 29901, 9162, 13, 462, 1678, 995, 543, 24619, 9867, 613, 13, 462, 1678, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29906, 29946, 29947, 1756, 613, 7164, 543, 29900, 1756, 4968, 13, 462, 1678, 3114, 3790, 29908, 8216, 29918, 2103, 1115, 376, 11228, 10758, 13, 18884, 1723, 13, 13, 18884, 289, 29873, 1983, 353, 11109, 29879, 29889, 27199, 29819, 787, 29898, 13, 462, 1678, 995, 29922, 8516, 29892, 13, 462, 1678, 3987, 29922, 3366, 6359, 848, 613, 376, 9323, 613, 376, 11123, 12436, 13, 462, 1678, 5780, 2034, 567, 29922, 3366, 6359, 848, 613, 376, 9323, 613, 376, 11123, 12436, 13, 462, 1678, 2826, 29918, 3293, 543, 16072, 613, 13, 18884, 1723, 13, 18884, 289, 29873, 1983, 29889, 3293, 29889, 3092, 29918, 2103, 353, 376, 29947, 29900, 1756, 29908, 13, 13, 18884, 822, 9503, 29918, 3808, 29898, 3167, 1125, 13, 462, 1678, 565, 1735, 3366, 1482, 3108, 1275, 376, 6359, 848, 29908, 322, 285, 29883, 29889, 8391, 338, 451, 6213, 29901, 13, 462, 4706, 1053, 11701, 408, 10518, 13, 13, 462, 4706, 4489, 353, 10518, 29889, 949, 29918, 7638, 29898, 13801, 29889, 8391, 29897, 13, 462, 4706, 784, 29918, 7039, 353, 4489, 29889, 13099, 29889, 5975, 29889, 25027, 391, 580, 13, 462, 4706, 921, 29918, 8030, 29889, 6768, 353, 784, 29918, 7039, 13, 462, 4706, 343, 29918, 8030, 29889, 6768, 353, 784, 29918, 7039, 13, 462, 4706, 3858, 29918, 8030, 29889, 6768, 353, 784, 29918, 7039, 13, 13, 462, 4706, 565, 376, 5426, 4279, 29908, 297, 784, 29918, 7039, 29901, 13, 462, 9651, 921, 29918, 8030, 29889, 1767, 353, 376, 5426, 4279, 29908, 13, 13, 462, 4706, 565, 376, 5066, 4279, 29908, 297, 784, 29918, 7039, 29901, 13, 462, 9651, 343, 29918, 8030, 29889, 1767, 353, 376, 5066, 4279, 29908, 13, 13, 462, 4706, 565, 376, 978, 29908, 297, 784, 29918, 7039, 29901, 13, 462, 9651, 3858, 29918, 8030, 29889, 1767, 353, 376, 978, 29908, 13, 13, 462, 1678, 25342, 1735, 3366, 1482, 3108, 1275, 376, 9323, 1115, 13, 13, 462, 4706, 565, 921, 29918, 8030, 29889, 1767, 338, 451, 6213, 322, 313, 29891, 29918, 8030, 29889, 1767, 338, 451, 6213, 1125, 13, 462, 9651, 286, 29889, 1202, 29918, 9748, 29918, 3166, 29918, 7638, 29898, 13, 462, 18884, 285, 29883, 29889, 8391, 29892, 13, 462, 18884, 921, 29922, 29916, 29918, 8030, 29889, 1767, 29892, 13, 462, 18884, 343, 29922, 29891, 29918, 8030, 29889, 1767, 29892, 13, 462, 18884, 3858, 29922, 1643, 29918, 8030, 29889, 1767, 29892, 13, 462, 18884, 7546, 29918, 978, 29922, 13148, 29918, 8030, 29889, 1767, 29892, 13, 462, 9651, 1723, 13, 13, 462, 1678, 25342, 1735, 3366, 1482, 3108, 1275, 376, 11123, 1115, 13, 462, 4706, 285, 29883, 29889, 12071, 580, 13, 462, 4706, 286, 29889, 5992, 29918, 6451, 29898, 4905, 29918, 24220, 29897, 13, 13, 18884, 289, 29873, 1983, 29889, 711, 16349, 29898, 7290, 29918, 3808, 29892, 376, 1767, 1159, 13, 13, 18884, 11799, 29918, 8030, 353, 11109, 29879, 29889, 29963, 3313, 29898, 13, 462, 1678, 518, 13, 462, 4706, 285, 29883, 29892, 13, 462, 4706, 11109, 29879, 29889, 29950, 3313, 4197, 29916, 29918, 8030, 29892, 343, 29918, 8030, 11724, 13, 462, 4706, 3858, 29918, 8030, 29892, 13, 462, 4706, 7546, 29918, 8030, 29892, 13, 462, 4706, 289, 29873, 1983, 29892, 13, 462, 1678, 4514, 13, 18884, 1723, 13, 13, 18884, 2479, 29898, 7638, 29918, 8030, 29897, 13, 18884, 286, 29889, 1202, 29918, 6451, 29898, 4905, 29918, 24220, 29897, 13, 13, 1678, 363, 474, 297, 3464, 29898, 5727, 1125, 13, 4706, 363, 432, 297, 3464, 29898, 22724, 1125, 13, 9651, 5780, 353, 6856, 29961, 29875, 29892, 432, 29962, 13, 9651, 5780, 29889, 265, 29918, 3808, 29898, 10154, 29918, 3808, 29897, 13, 2 ]
schemas/__init__.py	shaban00/flask_rest_api_structure	0	103282	__author__ = '<NAME> [shaban00]' DRAFT_4_SCHEMA = "http://json-schema.org/draft-04/schema#" NULL_SCHEMA = { "type": "null" } STRING_SCHEMA = { "type": "string" } STRING_ARRAY_SCHEMA = { "type": "array", "items": { "type": "string" } } INTEGER_SCHEMA = { "type": "integer" } BOOLEAN_SCHEMA = { "type": "boolean" } FLOAT_SCHEMA = { "type": "number" } NULLABLE_STRING_SCHEMA = { "anyOf": [STRING_SCHEMA, NULL_SCHEMA] } NULLABLE_INTEGER_SCHEMA = { "anyOf": [INTEGER_SCHEMA, NULL_SCHEMA] } EMAIL_SCHEMA = { "type": "string", "pattern": r"^[a-zA-Z0-9.\-]+@[a-zA-Z0-9]+\.[a-zA-Z0-9.]+$" } NULLABLE_EMAIL_SCHEMA = { "anyOf": [EMAIL_SCHEMA, NULL_SCHEMA] } from .college import ADD_COLLEGE_SCHEMA from .department import ADD_DEPARTMENT_SCHEMA from .student import ADD_STUDENT_SCHEMA SCHEMAS = { "add_college": ADD_COLLEGE_SCHEMA, "add_department": ADD_DEPARTMENT_SCHEMA, "add_student": ADD_STUDENT_SCHEMA }	[ 1, 4770, 8921, 1649, 353, 12801, 5813, 29958, 518, 845, 10910, 29900, 29900, 29962, 29915, 13, 13, 29928, 4717, 7818, 29918, 29946, 29918, 29903, 3210, 26862, 353, 376, 1124, 597, 3126, 29899, 11010, 29889, 990, 29914, 29881, 4154, 29899, 29900, 29946, 29914, 11010, 29937, 29908, 13, 10074, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 4304, 29908, 13, 29913, 13, 20785, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 1807, 29908, 13, 29913, 13, 20785, 29918, 1718, 22800, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 2378, 613, 29871, 13, 1678, 376, 7076, 1115, 426, 13, 4706, 376, 1853, 1115, 376, 1807, 29908, 13, 1678, 500, 13, 29913, 13, 1177, 4330, 17070, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 16031, 29908, 13, 29913, 13, 8456, 29949, 1307, 2190, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 20054, 29908, 13, 29913, 13, 29943, 3927, 1299, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 4537, 29908, 13, 29913, 13, 10074, 6181, 29918, 20785, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1384, 2776, 1115, 518, 20785, 29918, 29903, 3210, 26862, 29892, 4265, 29918, 29903, 3210, 26862, 29962, 13, 29913, 13, 10074, 6181, 29918, 1177, 4330, 17070, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1384, 2776, 1115, 518, 1177, 4330, 17070, 29918, 29903, 3210, 26862, 29892, 4265, 29918, 29903, 3210, 26862, 29962, 13, 29913, 13, 26862, 6227, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 1807, 613, 13, 1678, 376, 11037, 1115, 364, 29908, 29985, 29961, 29874, 29899, 25265, 29899, 29999, 29900, 29899, 29929, 7790, 29899, 10062, 29992, 29961, 29874, 29899, 25265, 29899, 29999, 29900, 29899, 29929, 29962, 3124, 7226, 29874, 29899, 25265, 29899, 29999, 29900, 29899, 29929, 5586, 24035, 29908, 13, 29913, 13, 10074, 6181, 29918, 26862, 6227, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1384, 2776, 1115, 518, 26862, 6227, 29918, 29903, 3210, 26862, 29892, 4265, 29918, 29903, 3210, 26862, 29962, 13, 29913, 13, 13, 13, 13, 3166, 869, 1054, 4424, 1053, 27827, 29918, 15032, 1307, 1692, 29918, 29903, 3210, 26862, 13, 3166, 869, 311, 8076, 1053, 27827, 29918, 2287, 26092, 13780, 29918, 29903, 3210, 26862, 13, 3166, 869, 18945, 1053, 27827, 29918, 1254, 15789, 3919, 29918, 29903, 3210, 26862, 13, 13, 13, 29903, 3210, 26862, 29903, 353, 426, 13, 1678, 376, 1202, 29918, 1054, 4424, 1115, 27827, 29918, 15032, 1307, 1692, 29918, 29903, 3210, 26862, 29892, 13, 1678, 376, 1202, 29918, 311, 8076, 1115, 27827, 29918, 2287, 26092, 13780, 29918, 29903, 3210, 26862, 29892, 13, 1678, 376, 1202, 29918, 18945, 1115, 27827, 29918, 1254, 15789, 3919, 29918, 29903, 3210, 26862, 13, 29913, 2 ]
setup.py	richarddwang/hugdatafast	19	8524	import setuptools from hugdatafast.__init__ import __version__ with open("README.md", "r") as fh: long_description = fh.read() REQUIRED_PKGS = [ 'fastai>=2.0.8', 'fastscore>=1.0.1', # change of store_attr api 'datasets', ] setuptools.setup( name="hugdatafast", version=__version__, author="<NAME>", author_email="<EMAIL>", description="The elegant bridge between hugginface data and fastai", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/richarddwang/hugdatafast", license='Apache 2.0', packages=setuptools.find_packages(), classifiers=[ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "Programming Language :: Python :: 3", "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Topic :: Scientific/Engineering :: Artificial Intelligence", ], python_requires='>=3.6', install_requires=REQUIRED_PKGS, keywords='datasets machine learning datasets metrics fastai huggingface', )	[ 1, 1053, 731, 21245, 8789, 13, 3166, 298, 688, 1272, 11255, 17255, 2344, 1649, 1053, 4770, 3259, 1649, 13, 13, 2541, 1722, 703, 16310, 2303, 29889, 3487, 613, 376, 29878, 1159, 408, 285, 29882, 29901, 13, 1678, 1472, 29918, 8216, 353, 285, 29882, 29889, 949, 580, 13, 13, 1525, 29984, 3120, 19386, 29918, 21738, 10749, 353, 518, 13, 1678, 525, 11255, 1794, 18572, 29906, 29889, 29900, 29889, 29947, 742, 13, 1678, 525, 11255, 13628, 18572, 29896, 29889, 29900, 29889, 29896, 742, 396, 1735, 310, 3787, 29918, 5552, 7882, 13, 1678, 525, 14538, 1691, 742, 13, 29962, 13, 13, 842, 21245, 8789, 29889, 14669, 29898, 13, 1678, 1024, 543, 29882, 688, 1272, 11255, 613, 13, 1678, 1873, 29922, 1649, 3259, 1649, 29892, 13, 1678, 4148, 543, 29966, 5813, 28341, 13, 1678, 4148, 29918, 5269, 543, 29966, 26862, 6227, 28341, 13, 1678, 6139, 543, 1576, 19232, 12945, 1546, 298, 688, 5359, 2161, 848, 322, 5172, 1794, 613, 13, 1678, 1472, 29918, 8216, 29922, 5426, 29918, 8216, 29892, 13, 1678, 1472, 29918, 8216, 29918, 3051, 29918, 1853, 543, 726, 29914, 3502, 3204, 613, 13, 1678, 3142, 543, 991, 597, 3292, 29889, 510, 29914, 4018, 538, 28012, 574, 29914, 29882, 688, 1272, 11255, 613, 13, 1678, 19405, 2433, 17396, 1829, 29871, 29906, 29889, 29900, 742, 13, 1678, 9741, 29922, 842, 21245, 8789, 29889, 2886, 29918, 8318, 3285, 13, 1678, 770, 14903, 11759, 13, 4706, 376, 21956, 358, 16034, 4761, 29871, 29946, 448, 350, 1187, 613, 13, 4706, 376, 2928, 2760, 319, 4749, 663, 4761, 10682, 414, 613, 13, 4706, 376, 2928, 2760, 319, 4749, 663, 4761, 9327, 29914, 1666, 2842, 613, 13, 4706, 376, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 613, 13, 4706, 376, 29931, 293, 1947, 4761, 438, 5425, 28268, 1490, 4761, 13380, 18540, 19245, 613, 13, 4706, 376, 7094, 1218, 2184, 4761, 6570, 25266, 613, 13, 4706, 376, 7031, 293, 4761, 23753, 928, 29914, 12412, 3241, 4761, 3012, 928, 616, 3159, 28286, 613, 13, 1678, 21251, 13, 1678, 3017, 29918, 276, 339, 2658, 2433, 18572, 29941, 29889, 29953, 742, 13, 1678, 2601, 29918, 276, 339, 2658, 29922, 1525, 29984, 3120, 19386, 29918, 21738, 10749, 29892, 13, 1678, 29361, 2433, 14538, 1691, 4933, 6509, 20035, 21556, 5172, 1794, 298, 688, 3460, 2161, 742, 13, 29897, 2 ]
passage/preprocessing.py	vishalbelsare/Passage	597	32950	#!/usr/bin/env python # -- coding: utf-8 -- import string from collections import Counter import numpy as np import theano import theano.tensor as T punctuation = set(string.punctuation) punctuation.add('\n') punctuation.add('\t') punctuation.add(u'’') punctuation.add(u'‘') punctuation.add(u'“') punctuation.add(u'”') punctuation.add(u'´') punctuation.add('') def one_hot(X, n=None, negative_class=0.): X = np.asarray(X).flatten() if n is None: n = np.max(X) + 1 Xoh = np.ones((len(X), n)) * negative_class Xoh[np.arange(len(X)), X] = 1. return Xoh def flatten(l): return [item for sublist in l for item in sublist] def lbf(l,b): return [el for el, condition in zip(l, b) if condition] def list_index(l, idxs): return [l[idx] for idx in idxs] def tokenize(text): tokenized = [] w = '' for t in text: if t in punctuation: tokenized.append(w) tokenized.append(t) w = '' elif t == ' ': tokenized.append(w) w = '' else: w += t if w != '': tokenized.append(w) tokenized = [token for token in tokenized if token] return tokenized def token_encoder(texts, max_features=9997, min_df=10): df = {} for text in texts: tokens = set(text) for token in tokens: if token in df: df[token] += 1 else: df[token] = 1 k, v = df.keys(), np.asarray(df.values()) valid = v >= min_df k = lbf(k, valid) v = v[valid] sort_mask = np.argsort(v)[::-1] k = list_index(k, sort_mask)[:max_features] v = v[sort_mask][:max_features] xtoi = dict(zip(k, range(3, len(k)+3))) return xtoi def standardize_targets(Y, cost): Y = np.asarray(Y) ndim = len(Y.shape) if ndim == 1: Y = Y.reshape(-1, 1) if Y.shape[1] == 1 and cost.__name__ == 'CategoricalCrossEntropy': Y = one_hot(Y, negative_class=0.) if Y.shape[1] == 1 and 'Hinge' in cost.__name__: if len(np.unique(Y)) > 2: Y = one_hot(Y, negative_class=-1.) else: Y[Y==0] -= 1 return Y class Tokenizer(object): """ For converting lists of text into tokens used by Passage models. max_features sets the maximum number of tokens (all others are mapped to UNK) min_df sets the minimum number of documents a token must appear in to not get mapped to UNK lowercase controls whether the text is lowercased or not character sets whether the tokenizer works on a character or word level Usage: >>> from passage.preprocessing import Tokenizer >>> example_text = ['This. is.', 'Example TEXT', 'is text'] >>> tokenizer = Tokenizer(min_df=1, lowercase=True, character=False) >>> tokenized = tokenizer.fit_transform(example_text) >>> tokenized [[7, 5, 3, 5], [6, 4], [3, 4]] >>> tokenizer.inverse_transform(tokenized) ['this . is .', 'example text', 'is text'] """ def __init__(self, max_features=9997, min_df=10, lowercase=True, character=False): self.max_features = max_features self.min_df = min_df self.lowercase = lowercase self.character = character def fit(self, texts): if self.lowercase: texts = [text.lower() for text in texts] if self.character: tokens = [list(text) for text in texts] else: tokens = [tokenize(text) for text in texts] self.encoder = token_encoder(tokens, max_features=self.max_features-3, min_df=self.min_df) self.encoder['PAD'] = 0 self.encoder['END'] = 1 self.encoder['UNK'] = 2 self.decoder = dict(zip(self.encoder.values(), self.encoder.keys())) self.n_features = len(self.encoder) return self def transform(self, texts): if self.lowercase: texts = [text.lower() for text in texts] if self.character: texts = [list(text) for text in texts] else: texts = [tokenize(text) for text in texts] tokens = [[self.encoder.get(token, 2) for token in text] for text in texts] return tokens def fit_transform(self, texts): self.fit(texts) tokens = self.transform(texts) return tokens def inverse_transform(self, codes): if self.character: joiner = '' else: joiner = ' ' return [joiner.join([self.decoder[token] for token in code]) for code in codes] class LenFilter(object): def __init__(self, max_len=1000, min_max_len=100, percentile=99): self.max_len = max_len self.percentile = percentile self.min_max_len = min_max_len def filter(self, *data): lens = [len(seq) for seq in data[0]] if self.percentile > 0: max_len = np.percentile(lens, self.percentile) max_len = np.clip(max_len, self.min_max_len, self.max_len) else: max_len = self.max_len valid_idxs = [i for i, l in enumerate(lens) if l <= max_len] if len(data) == 1: return list_index(data[0], valid_idxs) else: return tuple([list_index(d, valid_idxs) for d in data])	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 5215, 1347, 13, 3166, 16250, 1053, 315, 5336, 13, 13, 5215, 12655, 408, 7442, 13, 5215, 278, 1562, 13, 5215, 278, 1562, 29889, 20158, 408, 323, 13, 13, 29886, 18049, 29884, 362, 353, 731, 29898, 1807, 29889, 29886, 18049, 29884, 362, 29897, 13, 29886, 18049, 29884, 362, 29889, 1202, 28909, 29876, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 28909, 29873, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 29898, 29884, 29915, 30010, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 29898, 29884, 29915, 30086, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 29898, 29884, 29915, 30015, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 29898, 29884, 29915, 30024, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 29898, 29884, 29915, 30165, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 877, 1495, 13, 13, 1753, 697, 29918, 8711, 29898, 29990, 29892, 302, 29922, 8516, 29892, 8178, 29918, 1990, 29922, 29900, 9575, 13, 1678, 1060, 353, 7442, 29889, 294, 2378, 29898, 29990, 467, 1579, 8606, 580, 13, 1678, 565, 302, 338, 6213, 29901, 13, 4706, 302, 353, 7442, 29889, 3317, 29898, 29990, 29897, 718, 29871, 29896, 13, 1678, 1060, 1148, 353, 7442, 29889, 2873, 3552, 2435, 29898, 29990, 511, 302, 876, 334, 8178, 29918, 1990, 13, 1678, 1060, 1148, 29961, 9302, 29889, 279, 927, 29898, 2435, 29898, 29990, 8243, 1060, 29962, 353, 29871, 29896, 29889, 13, 1678, 736, 1060, 1148, 13, 13, 1753, 1652, 8606, 29898, 29880, 1125, 13, 1678, 736, 518, 667, 363, 1014, 1761, 297, 301, 363, 2944, 297, 1014, 1761, 29962, 13, 13, 1753, 301, 1635, 29898, 29880, 29892, 29890, 1125, 13, 1678, 736, 518, 295, 363, 560, 29892, 4195, 297, 14319, 29898, 29880, 29892, 289, 29897, 565, 4195, 29962, 13, 13, 1753, 1051, 29918, 2248, 29898, 29880, 29892, 1178, 10351, 1125, 13, 1678, 736, 518, 29880, 29961, 13140, 29962, 363, 22645, 297, 1178, 10351, 29962, 13, 13, 1753, 5993, 675, 29898, 726, 1125, 13, 1678, 5993, 1891, 353, 5159, 13, 1678, 281, 353, 6629, 13, 1678, 363, 260, 297, 1426, 29901, 13, 4706, 565, 260, 297, 6035, 22999, 362, 29901, 13, 9651, 5993, 1891, 29889, 4397, 29898, 29893, 29897, 13, 9651, 5993, 1891, 29889, 4397, 29898, 29873, 29897, 13, 9651, 281, 353, 6629, 13, 4706, 25342, 260, 1275, 525, 525, 29901, 13, 9651, 5993, 1891, 29889, 4397, 29898, 29893, 29897, 13, 9651, 281, 353, 6629, 13, 4706, 1683, 29901, 13, 9651, 281, 4619, 260, 13, 1678, 565, 281, 2804, 525, 2396, 13, 4706, 5993, 1891, 29889, 4397, 29898, 29893, 29897, 13, 1678, 5993, 1891, 353, 518, 6979, 363, 5993, 297, 5993, 1891, 565, 5993, 29962, 13, 1678, 736, 5993, 1891, 13, 13, 1753, 5993, 29918, 3977, 6119, 29898, 726, 29879, 29892, 4236, 29918, 22100, 29922, 29929, 29929, 29929, 29955, 29892, 1375, 29918, 2176, 29922, 29896, 29900, 1125, 13, 1678, 4489, 353, 6571, 13, 1678, 363, 1426, 297, 26442, 29901, 13, 4706, 18897, 353, 731, 29898, 726, 29897, 13, 4706, 363, 5993, 297, 18897, 29901, 13, 9651, 565, 5993, 297, 4489, 29901, 13, 18884, 4489, 29961, 6979, 29962, 4619, 29871, 29896, 13, 9651, 1683, 29901, 13, 18884, 4489, 29961, 6979, 29962, 353, 29871, 29896, 13, 1678, 413, 29892, 325, 353, 4489, 29889, 8149, 3285, 7442, 29889, 294, 2378, 29898, 2176, 29889, 5975, 3101, 13, 1678, 2854, 353, 325, 6736, 1375, 29918, 2176, 13, 1678, 413, 353, 301, 1635, 29898, 29895, 29892, 2854, 29897, 13, 1678, 325, 353, 325, 29961, 3084, 29962, 13, 1678, 2656, 29918, 13168, 353, 7442, 29889, 5085, 441, 29898, 29894, 9601, 1057, 29899, 29896, 29962, 13, 1678, 413, 353, 1051, 29918, 2248, 29898, 29895, 29892, 2656, 29918, 13168, 29897, 7503, 3317, 29918, 22100, 29962, 13, 1678, 325, 353, 325, 29961, 6605, 29918, 13168, 3816, 29901, 3317, 29918, 22100, 29962, 13, 268, 486, 7768, 353, 9657, 29898, 7554, 29898, 29895, 29892, 3464, 29898, 29941, 29892, 7431, 29898, 29895, 7240, 29941, 4961, 13, 1678, 736, 29871, 486, 7768, 13, 13, 1753, 3918, 675, 29918, 5182, 29879, 29898, 29979, 29892, 3438, 1125, 13, 1678, 612, 353, 7442, 29889, 294, 2378, 29898, 29979, 29897, 13, 268, 299, 326, 353, 7431, 29898, 29979, 29889, 12181, 29897, 13, 1678, 565, 29871, 299, 326, 1275, 29871, 29896, 29901, 13, 4706, 612, 353, 612, 29889, 690, 14443, 6278, 29896, 29892, 29871, 29896, 29897, 13, 1678, 565, 612, 29889, 12181, 29961, 29896, 29962, 1275, 29871, 29896, 322, 3438, 17255, 978, 1649, 1275, 525, 29907, 20440, 936, 29907, 2124, 5292, 14441, 2396, 13, 4706, 612, 353, 697, 29918, 8711, 29898, 29979, 29892, 8178, 29918, 1990, 29922, 29900, 1846, 13, 1678, 565, 612, 29889, 12181, 29961, 29896, 29962, 1275, 29871, 29896, 322, 525, 29950, 19144, 29915, 297, 3438, 17255, 978, 1649, 29901, 13, 4706, 565, 7431, 29898, 9302, 29889, 13092, 29898, 29979, 876, 1405, 29871, 29906, 29901, 13, 9651, 612, 353, 697, 29918, 8711, 29898, 29979, 29892, 8178, 29918, 1990, 10457, 29896, 1846, 13, 4706, 1683, 29901, 13, 9651, 612, 29961, 29979, 1360, 29900, 29962, 22361, 29871, 29896, 13, 1678, 736, 612, 13, 13, 1990, 25159, 3950, 29898, 3318, 1125, 13, 1678, 9995, 13, 1678, 1152, 17415, 8857, 310, 1426, 964, 18897, 1304, 491, 6978, 482, 4733, 29889, 13, 1678, 4236, 29918, 22100, 6166, 278, 7472, 1353, 310, 18897, 313, 497, 4045, 526, 20545, 304, 8291, 29968, 29897, 13, 1678, 1375, 29918, 2176, 6166, 278, 9212, 1353, 310, 10701, 263, 5993, 1818, 2615, 297, 304, 451, 679, 20545, 304, 8291, 29968, 13, 1678, 5224, 4878, 11761, 3692, 278, 1426, 338, 5224, 29883, 1463, 470, 451, 13, 1678, 2931, 6166, 3692, 278, 5993, 3950, 1736, 373, 263, 2931, 470, 1734, 3233, 13, 13, 1678, 10783, 482, 29901, 13, 1678, 8653, 515, 13382, 29889, 1457, 19170, 1053, 25159, 3950, 13, 1678, 8653, 1342, 29918, 726, 353, 6024, 4013, 29889, 338, 29889, 742, 525, 14023, 323, 12194, 742, 525, 275, 1426, 2033, 13, 1678, 8653, 5993, 3950, 353, 25159, 3950, 29898, 1195, 29918, 2176, 29922, 29896, 29892, 5224, 4878, 29922, 5574, 29892, 2931, 29922, 8824, 29897, 13, 1678, 8653, 5993, 1891, 353, 5993, 3950, 29889, 9202, 29918, 9067, 29898, 4773, 29918, 726, 29897, 13, 1678, 8653, 5993, 1891, 13, 1678, 5519, 29955, 29892, 29871, 29945, 29892, 29871, 29941, 29892, 29871, 29945, 1402, 518, 29953, 29892, 29871, 29946, 1402, 518, 29941, 29892, 29871, 29946, 5262, 13, 1678, 8653, 5993, 3950, 29889, 262, 3901, 29918, 9067, 29898, 6979, 1891, 29897, 13, 1678, 6024, 1366, 869, 338, 869, 742, 525, 4773, 1426, 742, 525, 275, 1426, 2033, 13, 1678, 9995, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 4236, 29918, 22100, 29922, 29929, 29929, 29929, 29955, 29892, 1375, 29918, 2176, 29922, 29896, 29900, 29892, 5224, 4878, 29922, 5574, 29892, 2931, 29922, 8824, 1125, 13, 4706, 1583, 29889, 3317, 29918, 22100, 353, 4236, 29918, 22100, 13, 4706, 1583, 29889, 1195, 29918, 2176, 353, 1375, 29918, 2176, 13, 4706, 1583, 29889, 13609, 4878, 353, 5224, 4878, 13, 4706, 1583, 29889, 18609, 353, 2931, 13, 13, 1678, 822, 6216, 29898, 1311, 29892, 26442, 1125, 13, 4706, 565, 1583, 29889, 13609, 4878, 29901, 13, 9651, 26442, 353, 518, 726, 29889, 13609, 580, 363, 1426, 297, 26442, 29962, 13, 4706, 565, 1583, 29889, 18609, 29901, 13, 9651, 18897, 353, 518, 1761, 29898, 726, 29897, 363, 1426, 297, 26442, 29962, 13, 4706, 1683, 29901, 13, 9651, 18897, 353, 518, 6979, 675, 29898, 726, 29897, 363, 1426, 297, 26442, 29962, 13, 4706, 1583, 29889, 3977, 6119, 353, 5993, 29918, 3977, 6119, 29898, 517, 12360, 29892, 4236, 29918, 22100, 29922, 1311, 29889, 3317, 29918, 22100, 29899, 29941, 29892, 1375, 29918, 2176, 29922, 1311, 29889, 1195, 29918, 2176, 29897, 13, 4706, 1583, 29889, 3977, 6119, 1839, 29925, 3035, 2033, 353, 29871, 29900, 13, 4706, 1583, 29889, 3977, 6119, 1839, 11794, 2033, 353, 29871, 29896, 13, 4706, 1583, 29889, 3977, 6119, 1839, 3904, 29968, 2033, 353, 29871, 29906, 13, 4706, 1583, 29889, 7099, 6119, 353, 9657, 29898, 7554, 29898, 1311, 29889, 3977, 6119, 29889, 5975, 3285, 1583, 29889, 3977, 6119, 29889, 8149, 22130, 13, 4706, 1583, 29889, 29876, 29918, 22100, 353, 7431, 29898, 1311, 29889, 3977, 6119, 29897, 13, 4706, 736, 1583, 13, 13, 1678, 822, 4327, 29898, 1311, 29892, 26442, 1125, 13, 4706, 565, 1583, 29889, 13609, 4878, 29901, 13, 9651, 26442, 353, 518, 726, 29889, 13609, 580, 363, 1426, 297, 26442, 29962, 13, 4706, 565, 1583, 29889, 18609, 29901, 13, 9651, 26442, 353, 518, 1761, 29898, 726, 29897, 363, 1426, 297, 26442, 29962, 13, 4706, 1683, 29901, 13, 9651, 26442, 353, 518, 6979, 675, 29898, 726, 29897, 363, 1426, 297, 26442, 29962, 13, 4706, 18897, 353, 5519, 1311, 29889, 3977, 6119, 29889, 657, 29898, 6979, 29892, 29871, 29906, 29897, 363, 5993, 297, 1426, 29962, 363, 1426, 297, 26442, 29962, 13, 4706, 736, 18897, 13, 13, 1678, 822, 6216, 29918, 9067, 29898, 1311, 29892, 26442, 1125, 13, 4706, 1583, 29889, 9202, 29898, 726, 29879, 29897, 13, 4706, 18897, 353, 1583, 29889, 9067, 29898, 726, 29879, 29897, 13, 4706, 736, 18897, 13, 13, 1678, 822, 16402, 29918, 9067, 29898, 1311, 29892, 11561, 1125, 13, 4706, 565, 1583, 29889, 18609, 29901, 13, 9651, 2958, 4983, 353, 6629, 13, 4706, 1683, 29901, 13, 9651, 2958, 4983, 353, 525, 525, 13, 4706, 736, 518, 2212, 4983, 29889, 7122, 4197, 1311, 29889, 7099, 6119, 29961, 6979, 29962, 363, 5993, 297, 775, 2314, 363, 775, 297, 11561, 29962, 13, 13, 1990, 16206, 5072, 29898, 3318, 1125, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 4236, 29918, 2435, 29922, 29896, 29900, 29900, 29900, 29892, 1375, 29918, 3317, 29918, 2435, 29922, 29896, 29900, 29900, 29892, 10151, 488, 29922, 29929, 29929, 1125, 13, 4706, 1583, 29889, 3317, 29918, 2435, 353, 4236, 29918, 2435, 13, 4706, 1583, 29889, 25376, 488, 353, 10151, 488, 13, 4706, 1583, 29889, 1195, 29918, 3317, 29918, 2435, 353, 1375, 29918, 3317, 29918, 2435, 13, 13, 1678, 822, 4175, 29898, 1311, 29892, 334, 1272, 1125, 13, 4706, 301, 575, 353, 518, 2435, 29898, 11762, 29897, 363, 19359, 297, 848, 29961, 29900, 5262, 13, 4706, 565, 1583, 29889, 25376, 488, 1405, 29871, 29900, 29901, 13, 9651, 4236, 29918, 2435, 353, 7442, 29889, 25376, 488, 29898, 29880, 575, 29892, 1583, 29889, 25376, 488, 29897, 13, 9651, 4236, 29918, 2435, 353, 7442, 29889, 24049, 29898, 3317, 29918, 2435, 29892, 1583, 29889, 1195, 29918, 3317, 29918, 2435, 29892, 1583, 29889, 3317, 29918, 2435, 29897, 13, 4706, 1683, 29901, 13, 9651, 4236, 29918, 2435, 353, 1583, 29889, 3317, 29918, 2435, 13, 4706, 2854, 29918, 333, 10351, 353, 518, 29875, 363, 474, 29892, 301, 297, 26985, 29898, 29880, 575, 29897, 565, 301, 5277, 4236, 29918, 2435, 29962, 13, 4706, 565, 7431, 29898, 1272, 29897, 1275, 29871, 29896, 29901, 13, 9651, 736, 1051, 29918, 2248, 29898, 1272, 29961, 29900, 1402, 2854, 29918, 333, 10351, 29897, 13, 4706, 1683, 29901, 13, 9651, 736, 18761, 4197, 1761, 29918, 2248, 29898, 29881, 29892, 2854, 29918, 333, 10351, 29897, 363, 270, 297, 848, 2314, 13, 13, 2 ]
loop/forms.py	Brian569/neighbourhood	0	167974	<gh_stars>0 from django import forms from .models import * class ProfileupdateForm(forms.ModelForm): class Meta: model = profileUser fields = ['profile_name', 'profile_pic', 'email', 'bio'] exclude = ['user', 'location'] class BussinessForm(forms.ModelForm): class Meta: model = Bussiness fields = ['business_name', 'business_email', 'phone_number', 'neighborhood', 'business_photo', 'details'] exclude = ['owner'] class NeighborHoodForm(forms.ModelForm): class Meta: model = NeighborHood fields = ['name', 'location', 'image'] exclude = ['resider'] class PostForm(forms.ModelForm): class Meta: model = Posts fields = ['title', 'content', 'picture'] exclude = ['owner'] class HealthForm(forms.ModelForm): class Meta: model = Health fields = ['name', 'email', 'picture', 'about', 'neighborhood', 'phone_number'] class PoliceForm(forms.ModelForm): class Meta: model = Police fields = ['name', 'email', 'image', 'neigborhood', 'phone_number', 'about']	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 9557, 1053, 7190, 13, 3166, 869, 9794, 1053, 334, 13, 13, 1990, 20802, 5504, 2500, 29898, 9514, 29889, 3195, 2500, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 8722, 2659, 13, 4706, 4235, 353, 6024, 10185, 29918, 978, 742, 525, 10185, 29918, 16447, 742, 525, 5269, 742, 525, 24840, 2033, 13, 4706, 19060, 353, 6024, 1792, 742, 525, 5479, 2033, 13, 13, 13, 1990, 350, 1558, 3335, 2500, 29898, 9514, 29889, 3195, 2500, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 350, 1558, 3335, 13, 4706, 4235, 353, 6024, 8262, 3335, 29918, 978, 742, 525, 8262, 3335, 29918, 5269, 742, 525, 6710, 29918, 4537, 742, 525, 484, 1141, 4089, 6614, 742, 525, 8262, 3335, 29918, 21596, 742, 525, 14144, 2033, 13, 4706, 19060, 353, 6024, 20348, 2033, 13, 13, 1990, 2448, 1141, 4089, 29950, 2092, 2500, 29898, 9514, 29889, 3195, 2500, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 2448, 1141, 4089, 29950, 2092, 13, 4706, 4235, 353, 6024, 978, 742, 525, 5479, 742, 525, 3027, 2033, 13, 4706, 19060, 353, 6024, 690, 1241, 2033, 13, 13, 1990, 4918, 2500, 29898, 9514, 29889, 3195, 2500, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 4918, 29879, 13, 4706, 4235, 353, 6024, 3257, 742, 525, 3051, 742, 525, 12095, 2033, 13, 4706, 19060, 353, 6024, 20348, 2033, 13, 13, 1990, 15202, 2500, 29898, 9514, 29889, 3195, 2500, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 15202, 13, 4706, 4235, 353, 6024, 978, 742, 525, 5269, 742, 525, 12095, 742, 525, 12717, 742, 525, 484, 1141, 4089, 6614, 742, 525, 6710, 29918, 4537, 2033, 13, 13, 13, 1990, 18923, 2500, 29898, 9514, 29889, 3195, 2500, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 18923, 13, 4706, 4235, 353, 6024, 978, 742, 29871, 525, 5269, 742, 525, 3027, 742, 525, 484, 335, 4089, 6614, 742, 525, 6710, 29918, 4537, 742, 525, 12717, 2033, 2 ]
calvinextras/calvinsys/io/gpiopin/raspberry_pi/PIGPIOPin.py	gabrielcercel/calvin-base	334	102467	<reponame>gabrielcercel/calvin-base<filename>calvinextras/calvinsys/io/gpiopin/raspberry_pi/PIGPIOPin.py # -- coding: utf-8 -- # Copyright (c) 2015 Ericsson AB # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from calvinextras.calvinsys.io.gpiopin import BaseGPIOPin from calvin.utilities.calvinlogger import get_logger import pigpio _log = get_logger(__name__) class PIGPIOPin(BaseGPIOPin.BaseGPIOPin): """ Calvinsys object handling a general-purpose input/output pin using the RPi.GPIO package """ PULL = {"up": pigpio.PUD_UP, "down": pigpio.PUD_DOWN, "off": pigpio.PUD_OFF} MODE = {"in": pigpio.INPUT, "out": pigpio.OUTPUT} EDGE = {"rising": pigpio.RISING_EDGE, "falling": pigpio.FALLING_EDGE, "both": pigpio.EITHER_EDGE} def init(self, pin, direction, pull=None, edge=None, bouncetime=None, *kwargs): self._values = [] self._pin = pin self._direction = direction self._debounce = 1000bouncetime if bouncetime else None # bouncetime is ms, pigpio uses us self._edge = edge self._gpio = pigpio.pi() self._cb = None try : mode = self.MODE[direction.lower()] except KeyError: raise Exception("Unknown direction '{}', should be IN, OUT".format(direction)) if mode == pigpio.INPUT: try: pud = self.PULL[pull.lower()] if pull else pigpio.PUD_OFF except KeyError: raise Exception("Unknown pull '{}', should be UP, DOWN, OFF".format(pull)) self._gpio.set_pull_up_down(pin, pud) if self._debounce: self._gpio.set_glitch_filter(pin, self._debounce) self._gpio.set_mode(pin, mode) if edge is not None: try: detect = self.EDGE[edge.lower()] except KeyError: raise Exception("Unknown edge '{}', should be RISING, FALLING, BOTH") self._cb = self._gpio.callback(pin, detect, self._edge_cb) def _edge_cb(self, pin, edge, tick): if edge != 2: self._values.append(edge) self.scheduler_wakeup() def can_write(self): return self._direction.lower() == "out" def write(self, value): self._gpio.write(self._pin, 1 if value else 0) def can_read(self): if self._direction.lower() == 'in': return bool(self._values) return False def read(self): if self._values: return self._values.pop(0) else: return self._gpio.read(self._pin) def close(self): if self._cb: self._cb.cancel() del self._gpio self._gpio = None	[ 1, 529, 276, 1112, 420, 29958, 29887, 370, 12836, 2265, 2242, 29914, 1052, 3845, 29899, 3188, 29966, 9507, 29958, 1052, 29894, 457, 486, 3417, 29914, 1052, 29894, 1144, 952, 29914, 601, 29914, 29887, 1631, 459, 262, 29914, 3417, 29886, 16344, 29918, 1631, 29914, 2227, 29954, 2227, 4590, 262, 29889, 2272, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 29937, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29945, 14713, 12371, 17571, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 268, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 13, 3166, 1208, 29894, 457, 486, 3417, 29889, 1052, 29894, 1144, 952, 29889, 601, 29889, 29887, 1631, 459, 262, 1053, 7399, 29954, 2227, 4590, 262, 13, 3166, 1208, 3845, 29889, 4422, 1907, 29889, 1052, 3845, 21707, 1053, 679, 29918, 21707, 13, 5215, 282, 335, 16168, 13, 13, 29918, 1188, 353, 679, 29918, 21707, 22168, 978, 1649, 29897, 13, 13, 1990, 349, 6259, 2227, 4590, 262, 29898, 5160, 29954, 2227, 4590, 262, 29889, 5160, 29954, 2227, 4590, 262, 1125, 13, 1678, 9995, 13, 1678, 3037, 29894, 1144, 952, 1203, 11415, 263, 2498, 29899, 15503, 4220, 1881, 29914, 4905, 12534, 773, 278, 390, 12197, 29889, 29954, 2227, 29949, 3577, 13, 1678, 9995, 13, 268, 13, 1678, 349, 3299, 353, 8853, 786, 1115, 282, 335, 16168, 29889, 7056, 29928, 29918, 4897, 29892, 376, 3204, 1115, 282, 335, 16168, 29889, 7056, 29928, 29918, 3970, 16048, 29892, 376, 2696, 1115, 282, 335, 16168, 29889, 7056, 29928, 29918, 27681, 29913, 13, 1678, 16999, 2287, 353, 8853, 262, 1115, 282, 335, 16168, 29889, 1177, 12336, 29892, 376, 449, 1115, 282, 335, 16168, 29889, 12015, 12336, 29913, 13, 1678, 9408, 1692, 353, 8853, 3780, 292, 1115, 282, 335, 16168, 29889, 29934, 3235, 4214, 29918, 3352, 1692, 29892, 376, 11950, 292, 1115, 282, 335, 16168, 29889, 29943, 9818, 4214, 29918, 3352, 1692, 29892, 376, 20313, 1115, 282, 335, 16168, 29889, 29923, 1806, 4448, 29918, 3352, 1692, 29913, 13, 268, 13, 1678, 822, 2069, 29898, 1311, 29892, 12534, 29892, 5305, 29892, 8206, 29922, 8516, 29892, 7636, 29922, 8516, 29892, 289, 1309, 29883, 5410, 29922, 8516, 29892, 3579, 19290, 1125, 13, 4706, 1583, 3032, 5975, 353, 5159, 13, 4706, 1583, 3032, 12687, 353, 12534, 13, 4706, 1583, 3032, 20845, 353, 5305, 13, 4706, 1583, 3032, 16529, 21543, 353, 29871, 29896, 29900, 29900, 29900, 29930, 29890, 1309, 29883, 5410, 565, 289, 1309, 29883, 5410, 1683, 6213, 396, 289, 1309, 29883, 5410, 338, 10887, 29892, 282, 335, 16168, 3913, 502, 13, 4706, 1583, 3032, 12864, 353, 7636, 13, 4706, 1583, 3032, 29887, 16168, 353, 282, 335, 16168, 29889, 1631, 580, 13, 4706, 1583, 3032, 10702, 353, 6213, 13, 308, 13, 4706, 1018, 584, 13, 9651, 4464, 353, 1583, 29889, 20387, 29961, 20845, 29889, 13609, 580, 29962, 13, 4706, 5174, 7670, 2392, 29901, 13, 9651, 12020, 8960, 703, 14148, 5305, 525, 8875, 742, 881, 367, 2672, 29892, 19474, 1642, 4830, 29898, 20845, 876, 13, 308, 13, 4706, 565, 4464, 1275, 282, 335, 16168, 29889, 1177, 12336, 29901, 13, 9651, 1018, 29901, 13, 18884, 282, 566, 353, 1583, 29889, 29925, 3299, 29961, 26746, 29889, 13609, 580, 29962, 565, 8206, 1683, 282, 335, 16168, 29889, 7056, 29928, 29918, 27681, 13, 9651, 5174, 7670, 2392, 29901, 13, 18884, 12020, 8960, 703, 14148, 8206, 525, 8875, 742, 881, 367, 11901, 29892, 360, 9806, 29940, 29892, 438, 4198, 1642, 4830, 29898, 26746, 876, 13, 9651, 1583, 3032, 29887, 16168, 29889, 842, 29918, 26746, 29918, 786, 29918, 3204, 29898, 12687, 29892, 282, 566, 29897, 13, 9651, 565, 1583, 3032, 16529, 21543, 29901, 13, 18884, 1583, 3032, 29887, 16168, 29889, 842, 29918, 3820, 2335, 29918, 4572, 29898, 12687, 29892, 1583, 3032, 16529, 21543, 29897, 13, 632, 13, 4706, 1583, 3032, 29887, 16168, 29889, 842, 29918, 8513, 29898, 12687, 29892, 4464, 29897, 13, 13, 13, 4706, 565, 7636, 338, 451, 6213, 29901, 13, 9651, 1018, 29901, 13, 18884, 6459, 353, 1583, 29889, 3352, 1692, 29961, 12864, 29889, 13609, 580, 29962, 13, 9651, 5174, 7670, 2392, 29901, 13, 18884, 12020, 8960, 703, 14148, 7636, 525, 8875, 742, 881, 367, 390, 3235, 4214, 29892, 383, 9818, 4214, 29892, 350, 2891, 29950, 1159, 13, 9651, 1583, 3032, 10702, 353, 1583, 3032, 29887, 16168, 29889, 14035, 29898, 12687, 29892, 6459, 29892, 1583, 3032, 12864, 29918, 10702, 29897, 13, 13, 1678, 822, 903, 12864, 29918, 10702, 29898, 1311, 29892, 12534, 29892, 7636, 29892, 16892, 1125, 13, 4706, 565, 7636, 2804, 29871, 29906, 29901, 13, 9651, 1583, 3032, 5975, 29889, 4397, 29898, 12864, 29897, 13, 9651, 1583, 29889, 816, 14952, 29918, 29893, 1296, 786, 580, 13, 13, 1678, 822, 508, 29918, 3539, 29898, 1311, 1125, 13, 4706, 736, 1583, 3032, 20845, 29889, 13609, 580, 1275, 376, 449, 29908, 13, 13, 1678, 822, 2436, 29898, 1311, 29892, 995, 1125, 13, 4706, 1583, 3032, 29887, 16168, 29889, 3539, 29898, 1311, 3032, 12687, 29892, 29871, 29896, 565, 995, 1683, 29871, 29900, 29897, 13, 13, 1678, 822, 508, 29918, 949, 29898, 1311, 1125, 13, 4706, 565, 1583, 3032, 20845, 29889, 13609, 580, 1275, 525, 262, 2396, 13, 9651, 736, 6120, 29898, 1311, 3032, 5975, 29897, 13, 4706, 736, 7700, 13, 13, 1678, 822, 1303, 29898, 1311, 1125, 13, 4706, 565, 1583, 3032, 5975, 29901, 13, 9651, 736, 1583, 3032, 5975, 29889, 7323, 29898, 29900, 29897, 13, 4706, 1683, 29901, 13, 9651, 736, 1583, 3032, 29887, 16168, 29889, 949, 29898, 1311, 3032, 12687, 29897, 13, 13, 1678, 822, 3802, 29898, 1311, 1125, 13, 4706, 565, 1583, 3032, 10702, 29901, 13, 9651, 1583, 3032, 10702, 29889, 20713, 580, 13, 4706, 628, 1583, 3032, 29887, 16168, 13, 4706, 1583, 3032, 29887, 16168, 353, 6213, 13, 2 ]
app/recipe/tests/test_tags_api.py	deepan-py/recipe-app-api	0	1604740	<gh_stars>0 from django.contrib.auth import get_user_model from django.urls import reverse from django.test import TestCase from rest_framework import status from rest_framework.test import APIClient try: from ...core.models import Tag, Recipe except ImportError: from core.models import Tag, Recipe # The above try except block is not necessary both are same but # from ...core.models import Tag raises ImportError in django tests # from core.models import Tag causes import warning in vscode # So for my convenience I used this try except block from ..serializer import TagSerializer TAGS_URL = reverse('recipe:tag-list') class PublicTagsApiTests(TestCase): """Test publicly available tags API""" def setUp(self): self.client = APIClient() def test_login_require(self): """Test that login is required for retrieving tags""" res = self.client.get(TAGS_URL) self.assertEqual(res.status_code, status.HTTP_401_UNAUTHORIZED) class PrivateTagsApiTests(TestCase): """Test the authorized user tags API""" def setUp(self): self.user = get_user_model().objects.create_user( '<EMAIL>', 'test123' ) self.client = APIClient() self.client.force_authenticate(self.user) def test_retrieve_tags(self): """Test retrieving tags""" Tag.objects.create(user=self.user, name='vegan') Tag.objects.create(user=self.user, name='Desert') res = self.client.get(TAGS_URL) tags = Tag.objects.all().order_by('-name') # return reverse by name serializer = TagSerializer(tags, many=True) self.assertEqual(res.status_code, status.HTTP_200_OK) self.assertEqual(res.data, serializer.data) def test_tags_limited_to_user(self): """Test that tags returened are for authenticated user""" user2 = get_user_model().objects.create_user( '<EMAIL>', 'test123' ) Tag.objects.create(user=user2, name='fruity') tag = Tag.objects.create(user=self.user, name='comfort food') res = self.client.get(TAGS_URL) self.assertEqual(res.status_code, status.HTTP_200_OK) self.assertEqual(len(res.data), 1) self.assertEqual(res.data[0]['name'], tag.name) def test_create_tag_successful(self): """Test creating a new tag""" payload = { 'name': 'test tag' } self.client.post(TAGS_URL, payload) exists = Tag.objects.filter( user=self.user, name=payload['name'] ).exists() self.assertTrue(exists) def test_create_tag_invalid(self): """Test creating a new tag with invalid payload""" payload = {'name': ''} res = self.client.post(TAGS_URL, payload) self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) def test_retrieve_tags_assigned_to_recipe(self): """Test filtering tags by those assigned to recipes""" tag1 = Tag.objects.create(user=self.user, name='Breakfast') tag2 = Tag.objects.create(user=self.user, name='another') recipe = Recipe.objects.create( title='corriander', time_minutes=10, price=5.00, user=self.user ) recipe.tags.add(tag1) res = self.client.get(TAGS_URL, {'assigned_only': 1}) serializer1 = TagSerializer(tag1) serializer2 = TagSerializer(tag2) self.assertIn(serializer1.data, res.data) self.assertNotIn(serializer2.data, res.data)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 9557, 29889, 21570, 29889, 5150, 1053, 679, 29918, 1792, 29918, 4299, 13, 3166, 9557, 29889, 26045, 1053, 11837, 13, 3166, 9557, 29889, 1688, 1053, 4321, 8259, 13, 3166, 1791, 29918, 4468, 1053, 4660, 13, 3166, 1791, 29918, 4468, 29889, 1688, 1053, 3450, 4032, 13, 13, 13, 2202, 29901, 13, 1678, 515, 2023, 3221, 29889, 9794, 1053, 10522, 29892, 830, 24044, 13, 19499, 16032, 2392, 29901, 13, 1678, 515, 7136, 29889, 9794, 1053, 10522, 29892, 830, 24044, 13, 13, 29937, 450, 2038, 1018, 5174, 2908, 338, 451, 5181, 1716, 526, 1021, 541, 13, 29937, 515, 2023, 3221, 29889, 9794, 1053, 10522, 1153, 4637, 16032, 2392, 297, 9557, 6987, 13, 29937, 515, 7136, 29889, 9794, 1053, 10522, 9946, 1053, 9177, 297, 7186, 401, 13, 29937, 1105, 363, 590, 29703, 306, 1304, 445, 1018, 5174, 2908, 13, 3166, 6317, 15550, 3950, 1053, 10522, 17679, 13, 13, 13, 6040, 10749, 29918, 4219, 353, 11837, 877, 4361, 412, 29901, 4039, 29899, 1761, 1495, 13, 13, 13, 1990, 5236, 28089, 11713, 24376, 29898, 3057, 8259, 1125, 13, 1678, 9995, 3057, 970, 368, 3625, 8282, 3450, 15945, 29908, 13, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 29889, 4645, 353, 3450, 4032, 580, 13, 13, 1678, 822, 1243, 29918, 7507, 29918, 12277, 29898, 1311, 1125, 13, 4706, 9995, 3057, 393, 6464, 338, 3734, 363, 5663, 15387, 8282, 15945, 29908, 13, 4706, 620, 353, 1583, 29889, 4645, 29889, 657, 29898, 6040, 10749, 29918, 4219, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 690, 29889, 4882, 29918, 401, 29892, 4660, 29889, 10493, 29918, 29946, 29900, 29896, 29918, 29965, 3521, 2692, 29950, 1955, 26664, 3352, 29897, 13, 13, 13, 1990, 12230, 28089, 11713, 24376, 29898, 3057, 8259, 1125, 13, 1678, 9995, 3057, 278, 4148, 1891, 1404, 8282, 3450, 15945, 29908, 13, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 29889, 1792, 353, 679, 29918, 1792, 29918, 4299, 2141, 12650, 29889, 3258, 29918, 1792, 29898, 13, 9651, 12801, 26862, 6227, 29958, 742, 13, 9651, 525, 1688, 29896, 29906, 29941, 29915, 13, 4706, 1723, 13, 4706, 1583, 29889, 4645, 353, 3450, 4032, 580, 13, 4706, 1583, 29889, 4645, 29889, 10118, 29918, 27218, 403, 29898, 1311, 29889, 1792, 29897, 13, 13, 1678, 822, 1243, 29918, 276, 509, 2418, 29918, 11338, 29898, 1311, 1125, 13, 4706, 9995, 3057, 5663, 15387, 8282, 15945, 29908, 13, 4706, 10522, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 1311, 29889, 1792, 29892, 1024, 2433, 345, 6249, 1495, 13, 4706, 10522, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 1311, 29889, 1792, 29892, 1024, 2433, 4002, 814, 1495, 13, 4706, 620, 353, 1583, 29889, 4645, 29889, 657, 29898, 6040, 10749, 29918, 4219, 29897, 13, 4706, 8282, 353, 10522, 29889, 12650, 29889, 497, 2141, 2098, 29918, 1609, 877, 29899, 978, 1495, 13, 4706, 396, 736, 11837, 491, 1024, 13, 4706, 7797, 3950, 353, 10522, 17679, 29898, 11338, 29892, 1784, 29922, 5574, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 690, 29889, 4882, 29918, 401, 29892, 4660, 29889, 10493, 29918, 29906, 29900, 29900, 29918, 8949, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 690, 29889, 1272, 29892, 7797, 3950, 29889, 1272, 29897, 13, 13, 1678, 822, 1243, 29918, 11338, 29918, 29044, 29918, 517, 29918, 1792, 29898, 1311, 1125, 13, 4706, 9995, 3057, 393, 8282, 3240, 332, 6419, 526, 363, 15585, 630, 1404, 15945, 29908, 13, 4706, 1404, 29906, 353, 679, 29918, 1792, 29918, 4299, 2141, 12650, 29889, 3258, 29918, 1792, 29898, 13, 9651, 12801, 26862, 6227, 29958, 742, 13, 9651, 525, 1688, 29896, 29906, 29941, 29915, 13, 4706, 1723, 13, 4706, 10522, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 1792, 29906, 29892, 1024, 2433, 29888, 582, 537, 1495, 13, 4706, 4055, 353, 10522, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 1311, 29889, 1792, 29892, 1024, 2433, 510, 3921, 9687, 1495, 13, 4706, 620, 353, 1583, 29889, 4645, 29889, 657, 29898, 6040, 10749, 29918, 4219, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 690, 29889, 4882, 29918, 401, 29892, 4660, 29889, 10493, 29918, 29906, 29900, 29900, 29918, 8949, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2435, 29898, 690, 29889, 1272, 511, 29871, 29896, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 690, 29889, 1272, 29961, 29900, 22322, 978, 7464, 4055, 29889, 978, 29897, 13, 13, 1678, 822, 1243, 29918, 3258, 29918, 4039, 29918, 8698, 1319, 29898, 1311, 1125, 13, 4706, 9995, 3057, 4969, 263, 716, 4055, 15945, 29908, 13, 4706, 20092, 353, 426, 13, 9651, 525, 978, 2396, 525, 1688, 4055, 29915, 13, 4706, 500, 13, 4706, 1583, 29889, 4645, 29889, 2490, 29898, 6040, 10749, 29918, 4219, 29892, 20092, 29897, 13, 4706, 4864, 353, 10522, 29889, 12650, 29889, 4572, 29898, 13, 9651, 1404, 29922, 1311, 29889, 1792, 29892, 13, 9651, 1024, 29922, 23813, 1839, 978, 2033, 13, 4706, 13742, 9933, 580, 13, 4706, 1583, 29889, 9294, 5574, 29898, 9933, 29897, 13, 13, 1678, 822, 1243, 29918, 3258, 29918, 4039, 29918, 20965, 29898, 1311, 1125, 13, 4706, 9995, 3057, 4969, 263, 716, 4055, 411, 8340, 20092, 15945, 29908, 13, 4706, 20092, 353, 11117, 978, 2396, 6629, 29913, 13, 4706, 620, 353, 1583, 29889, 4645, 29889, 2490, 29898, 6040, 10749, 29918, 4219, 29892, 20092, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 690, 29889, 4882, 29918, 401, 29892, 4660, 29889, 10493, 29918, 29946, 29900, 29900, 29918, 29933, 3035, 29918, 16244, 29897, 13, 13, 1678, 822, 1243, 29918, 276, 509, 2418, 29918, 11338, 29918, 465, 12961, 29918, 517, 29918, 4361, 412, 29898, 1311, 1125, 13, 4706, 9995, 3057, 21166, 8282, 491, 1906, 9859, 304, 9522, 5547, 15945, 29908, 13, 4706, 4055, 29896, 353, 10522, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 1311, 29889, 1792, 29892, 1024, 2433, 20130, 557, 11255, 1495, 13, 4706, 4055, 29906, 353, 10522, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 1311, 29889, 1792, 29892, 1024, 2433, 23327, 1495, 13, 4706, 9522, 412, 353, 830, 24044, 29889, 12650, 29889, 3258, 29898, 13, 9651, 3611, 2433, 2616, 374, 3825, 742, 13, 9651, 931, 29918, 1195, 2667, 29922, 29896, 29900, 29892, 13, 9651, 8666, 29922, 29945, 29889, 29900, 29900, 29892, 13, 9651, 1404, 29922, 1311, 29889, 1792, 13, 4706, 1723, 13, 4706, 9522, 412, 29889, 11338, 29889, 1202, 29898, 4039, 29896, 29897, 13, 4706, 620, 353, 1583, 29889, 4645, 29889, 657, 29898, 6040, 10749, 29918, 4219, 29892, 11117, 465, 12961, 29918, 6194, 2396, 29871, 29896, 1800, 13, 4706, 7797, 3950, 29896, 353, 10522, 17679, 29898, 4039, 29896, 29897, 13, 4706, 7797, 3950, 29906, 353, 10522, 17679, 29898, 4039, 29906, 29897, 13, 4706, 1583, 29889, 9294, 797, 29898, 15550, 3950, 29896, 29889, 1272, 29892, 620, 29889, 1272, 29897, 13, 4706, 1583, 29889, 9294, 3664, 797, 29898, 15550, 3950, 29906, 29889, 1272, 29892, 620, 29889, 1272, 29897, 13, 2 ]
pi/camera/capture.py	gwsystems/scum	0	177938	# simple script for img capture # takes 1 arg: filename (.jpg) import sys from picamera import PiCamera from time import sleep # create instance camera = PiCamera() # Takes a string, ie. 'img.jpg' def capture(filename): # camera needs time to adjust brightness # this is the shortest delay sleep(0.15) # capture and save img as filename camera.capture(filename) filename = 'img.jpg' if len(sys.argv) == 2: filename = sys.argv[1] capture(filename) print('captured ' + filename)	[ 1, 396, 2560, 2471, 363, 10153, 10446, 13, 29937, 4893, 29871, 29896, 1852, 29901, 10422, 14544, 6173, 29897, 13, 5215, 10876, 13, 3166, 11942, 314, 1572, 1053, 7362, 20717, 13, 3166, 931, 1053, 8709, 13, 13, 29937, 1653, 2777, 13, 26065, 353, 7362, 20717, 580, 13, 29871, 13, 29937, 323, 6926, 263, 1347, 29892, 19282, 29889, 525, 2492, 29889, 6173, 29915, 13, 1753, 10446, 29898, 9507, 1125, 13, 1678, 13, 1678, 396, 10656, 4225, 931, 304, 10365, 11785, 2264, 13, 1678, 396, 445, 338, 278, 3273, 342, 9055, 13, 1678, 8709, 29898, 29900, 29889, 29896, 29945, 29897, 13, 268, 13, 1678, 396, 10446, 322, 4078, 10153, 408, 10422, 13, 1678, 10656, 29889, 17885, 545, 29898, 9507, 29897, 13, 13, 9507, 353, 525, 2492, 29889, 6173, 29915, 13, 361, 7431, 29898, 9675, 29889, 19218, 29897, 1275, 29871, 29906, 29901, 13, 1678, 10422, 353, 10876, 29889, 19218, 29961, 29896, 29962, 13, 17885, 545, 29898, 9507, 29897, 13, 2158, 877, 17885, 2955, 525, 718, 10422, 29897, 13, 13, 2 ]
barcode/charsets/ean.py	Azd325/python-barcode	0	12757	<reponame>Azd325/python-barcode<gh_stars>0 EDGE = '101' MIDDLE = '01010' CODES = { 'A': ( '0001101', '0011001', '0010011', '0111101', '0100011', '0110001', '0101111', '0111011', '0110111', '0001011' ), 'B': ( '0100111', '0110011', '0011011', '0100001', '0011101', '0111001', '0000101', '0010001', '0001001', '0010111' ), 'C': ( '1110010', '1100110', '1101100', '1000010', '1011100', '1001110', '1010000', '1000100', '1001000', '1110100' ), } LEFT_PATTERN = ( 'AAAAAA', 'AABABB', 'AABBAB', 'AABBBA', 'ABAABB', 'ABBAAB', 'ABBBAA', 'ABABAB', 'ABABBA', 'ABBABA' )	[ 1, 529, 276, 1112, 420, 29958, 29909, 8849, 29941, 29906, 29945, 29914, 4691, 29899, 1646, 401, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 3352, 1692, 353, 525, 29896, 29900, 29896, 29915, 13, 29924, 1367, 29928, 1307, 353, 525, 29900, 29896, 29900, 29896, 29900, 29915, 13, 16524, 29903, 353, 426, 13, 1678, 525, 29909, 2396, 313, 13, 4706, 525, 29900, 29900, 29900, 29896, 29896, 29900, 29896, 742, 525, 29900, 29900, 29896, 29896, 29900, 29900, 29896, 742, 525, 29900, 29900, 29896, 29900, 29900, 29896, 29896, 742, 525, 29900, 29896, 29896, 29896, 29896, 29900, 29896, 742, 525, 29900, 29896, 29900, 29900, 29900, 29896, 29896, 742, 525, 29900, 29896, 29896, 29900, 29900, 29900, 29896, 742, 13, 4706, 525, 29900, 29896, 29900, 29896, 29896, 29896, 29896, 742, 525, 29900, 29896, 29896, 29896, 29900, 29896, 29896, 742, 525, 29900, 29896, 29896, 29900, 29896, 29896, 29896, 742, 525, 29900, 29900, 29900, 29896, 29900, 29896, 29896, 29915, 13, 1678, 10353, 13, 1678, 525, 29933, 2396, 313, 13, 4706, 525, 29900, 29896, 29900, 29900, 29896, 29896, 29896, 742, 525, 29900, 29896, 29896, 29900, 29900, 29896, 29896, 742, 525, 29900, 29900, 29896, 29896, 29900, 29896, 29896, 742, 525, 29900, 29896, 29900, 29900, 29900, 29900, 29896, 742, 525, 29900, 29900, 29896, 29896, 29896, 29900, 29896, 742, 525, 29900, 29896, 29896, 29896, 29900, 29900, 29896, 742, 13, 4706, 525, 29900, 29900, 29900, 29900, 29896, 29900, 29896, 742, 525, 29900, 29900, 29896, 29900, 29900, 29900, 29896, 742, 525, 29900, 29900, 29900, 29896, 29900, 29900, 29896, 742, 525, 29900, 29900, 29896, 29900, 29896, 29896, 29896, 29915, 13, 1678, 10353, 13, 1678, 525, 29907, 2396, 313, 13, 4706, 525, 29896, 29896, 29896, 29900, 29900, 29896, 29900, 742, 525, 29896, 29896, 29900, 29900, 29896, 29896, 29900, 742, 525, 29896, 29896, 29900, 29896, 29896, 29900, 29900, 742, 525, 29896, 29900, 29900, 29900, 29900, 29896, 29900, 742, 525, 29896, 29900, 29896, 29896, 29896, 29900, 29900, 742, 525, 29896, 29900, 29900, 29896, 29896, 29896, 29900, 742, 13, 4706, 525, 29896, 29900, 29896, 29900, 29900, 29900, 29900, 742, 525, 29896, 29900, 29900, 29900, 29896, 29900, 29900, 742, 525, 29896, 29900, 29900, 29896, 29900, 29900, 29900, 742, 525, 29896, 29896, 29896, 29900, 29896, 29900, 29900, 29915, 13, 1678, 10353, 13, 29913, 13, 28024, 29918, 29925, 1299, 4945, 29940, 353, 313, 13, 1678, 525, 23184, 6344, 742, 525, 29909, 2882, 2882, 29933, 742, 525, 29909, 2882, 29933, 2882, 742, 525, 29909, 2882, 29933, 5688, 742, 525, 2882, 29909, 2882, 29933, 742, 525, 2882, 5688, 2882, 742, 525, 2882, 29933, 5688, 29909, 742, 13, 1678, 525, 2882, 2882, 2882, 742, 525, 2882, 2882, 5688, 742, 525, 2882, 29933, 2882, 29909, 29915, 13, 29897, 13, 2 ]
gym/envs/yumi/yumi_constrained.py	carlo-/gym	1	102191	<reponame>carlo-/gym<filename>gym/envs/yumi/yumi_constrained.py<gh_stars>1-10 import copy import numpy as np import gym from gym import spaces from gym.envs.yumi.yumi_env import YumiEnv, YumiTask from gym.utils import transformations as tf from gym.envs.robotics.utils import reset_mocap2body_xpos def _goal_distance(goal_a, goal_b): assert goal_a.shape == goal_b.shape assert goal_a.shape[-1] == 3 delta_pos = goal_a[..., :3] - goal_b[..., :3] d_pos = np.linalg.norm(delta_pos, axis=-1) return d_pos def _mocap_set_action(sim, action): # Originally from gym.envs.robotics.utils if sim.model.nmocap > 0: pos_delta = action[:, :3] quat_delta = action[:, 3:] reset_mocap2body_xpos(sim) sim.data.mocap_pos[:] += pos_delta sim.data.mocap_quat[:] += quat_delta class YumiConstrainedEnv(gym.GoalEnv): def __init__(self, , reward_type='dense', rotation_ctrl=False, fingers_ctrl=False, distance_threshold=0.05, randomize_initial_object_pos=True, mocap_ctrl=False, render_poses=True, object_id='fetch_box', kwargs): super(YumiConstrainedEnv, self).__init__() self.metadata = { 'render.modes': ['human'], } self.sim_env = YumiEnv( arm='both', block_gripper=False, reward_type=reward_type, task=YumiTask.PICK_AND_PLACE_OBJECT, object_id=object_id, randomize_initial_object_pos=randomize_initial_object_pos, kwargs, ) self.mocap_ctrl = mocap_ctrl self.reward_type = reward_type self.distance_threshold = distance_threshold self.render_poses = render_poses obs = self._get_obs() n_actions = 4 # dist between grippers (1) + grasp center pos delta (3) if rotation_ctrl: n_actions += 4 # grasp center quat delta (4) if fingers_ctrl: n_actions += 2 # # dist between fingers, (left, right) grippers (2) self.rotation_ctrl_enabled = rotation_ctrl self.fingers_ctrl_enabled = fingers_ctrl self.fingers_default_to_open = False self.action_space = spaces.Box(-1., 1., shape=(n_actions,), dtype='float32') self.observation_space = spaces.Dict(dict( desired_goal=spaces.Box(-np.inf, np.inf, shape=obs['achieved_goal'].shape, dtype='float32'), achieved_goal=spaces.Box(-np.inf, np.inf, shape=obs['achieved_goal'].shape, dtype='float32'), observation=spaces.Box(-np.inf, np.inf, shape=obs['observation'].shape, dtype='float32'), )) # Shortcuts # ---------------------------- def sync_object_init_pos(self, pos: np.ndarray, wrt_table=False, now=False): self.sim_env.sync_object_init_pos(pos, wrt_table=wrt_table, now=now) @property def viewer(self): return self.sim_env.viewer @property def sim(self): return self.sim_env.sim @property def np_random(self): return self.sim_env.np_random def _get_object_size(self): geom = self.sim.model.geom_name2id('object0_base') return self.sim.model.geom_size[geom].copy() def get_object_pose(self): return np.r_[ self.sim.data.get_body_xpos('object0'), self.sim.data.get_body_xquat('object0'), ] def get_object_pos(self): return self.sim.data.get_body_xpos('object0').copy() def get_object_rot(self): return tf.rotations.mat2euler(self.sim.data.get_site_xmat('object0:center')) def get_object_velp(self): return self.sim.data.get_site_xvelp('object0:center') self.sim_env.dt def get_object_velr(self): return self.sim.data.get_site_xvelr('object0:center') * self.sim_env.dt def get_gripper_pose(self, arm): assert arm in ('l', 'r') return np.r_[ self.sim.data.get_site_xpos(f'gripper_{arm}_center'), tf.rotations.mat2quat(self.sim.data.get_site_xmat(f'gripper_{arm}_center')), ] def get_gripper_pos(self, arm): assert arm in ('l', 'r') return self.sim.data.get_site_xpos(f'gripper_{arm}_center').copy() def get_gripper_velp(self, arm): assert arm in ('l', 'r') return self.sim.data.get_site_xvelp(f'gripper_{arm}_center') * self.sim_env.dt def get_grasp_center_pos(self): return (self.get_gripper_pos('l') + self.get_gripper_pos('r')) / 2.0 def get_grasp_center_velp(self): return (self.get_gripper_velp('l') + self.get_gripper_velp('r')) / 2.0 def get_arm_config(self, arm): if arm == 'l': idx = self.sim_env._arm_l_joint_idx else: idx = self.sim_env._arm_r_joint_idx return self.sim.data.qpos[idx].copy() def get_task_space(self): obj_radius = self._get_object_size()[0] return np.r_[obj_radius1.0, obj_radius1.0, 0.03] def is_object_on_ground(self): obj_pose = self.get_object_pos() return obj_pose[2] < 0.0 def is_object_unreachable(self): obj_pose = self.get_object_pos() return not ( (-0.15 < obj_pose[0] < 0.15) and (-0.15 < obj_pose[1] < 0.15) and (-0.01 < obj_pose[2] < 0.45) ) def get_table_surface_pose(self): return self.sim_env.get_table_surface_pose() def _unpack_action(self, action): dist_between_grippers = action[0] grasp_center_pos_delta = action[1:4] offset = 4 if self.rotation_ctrl_enabled: grasp_center_quat_delta = action[offset:offset+4] offset += 4 else: grasp_center_quat_delta = np.r_[1., 0., 0., 0.] if self.fingers_ctrl_enabled: l_fingers_ctrl, r_fingers_ctrl = action[offset:offset+2] else: l_fingers_ctrl = r_fingers_ctrl = -1. if self.fingers_default_to_open else 1. return ( dist_between_grippers, grasp_center_pos_delta, grasp_center_quat_delta, l_fingers_ctrl, r_fingers_ctrl ) def _reset(self): qpos = np.r_[ 0.5331, 0.046, 0.3148, -0.0206, -0.8999, 1.0898, -2.1024, 0.0, 0.0002, -0.0875, 0.0288, -0.6761, 0.0196, 0.841, 1.0012, -0.9585, -0.0, 0.0001, 0.025, 0.025, 0.03, 1.0, -0.0, 0.0, 0.0 ] if self.sim_env.has_rotating_platform: qpos = np.r_[-0.75, qpos] qvel = np.zeros_like(self.sim_env.init_qvel) self.sim.data.ctrl[:] = 0.0 self.sim_env._set_sim_state(qpos, qvel) object_qpos = self.sim.data.get_joint_qpos('object0:joint').copy() self.sim_env._object_xy_pos_to_sync = self.np_random.uniform(self.sim_env._obj_init_bounds) if self.sim_env.has_rotating_platform: object_qpos[2] += 0.020 object_qpos[:2] = self.sim.data.get_site_xpos('rotating_platform:far_end')[:2] elif self.sim_env.has_button: object_qpos[:2] = 0.375, -0.476 elif self.sim_env.randomize_initial_object_pos: # Randomize initial position of object. object_qpos[:2] = self.sim_env._object_xy_pos_to_sync.copy() self.sim.data.set_joint_qpos('object0:joint', object_qpos) self.sim_env._reset_button() # Env methods # ---------------------------- def seed(self, seed=None): self.sim_env.seed(seed) def step(self, action: np.ndarray): action = np.clip(action, self.action_space.low, self.action_space.high) (dist_between_grippers, grasp_center_pos_delta, grasp_center_quat_delta, l_fingers_ctrl, r_fingers_ctrl) = self._unpack_action(action) if self.mocap_ctrl: pos_k = 0.1 dist_range = [0.05, 0.20] else: pos_k = 0.2 dist_range = [0.05, 0.30] dist_between_grippers = np.interp(dist_between_grippers, [-1, 1], dist_range) curr_grasp_center_pose = self.get_grasp_center_pos() # TODO: Use pose rather than position only target_grasp_center_pose = np.r_[0., 0., 0., 1., 0., 0., 0.] target_grasp_center_pose[:3] = curr_grasp_center_pose[:3] + grasp_center_pos_delta pos_k if self.rotation_ctrl_enabled: # target_grasp_center_pose[3:] = curr_grasp_center_pose[3:] + grasp_center_quat_delta * 0.1 raise NotImplementedError grippers_pos_targets = np.array([ tf.apply_tf(np.r_[0., dist_between_grippers/2.0, 0., 1., 0., 0., 0.], target_grasp_center_pose)[:3], tf.apply_tf(np.r_[0., -dist_between_grippers/2.0, 0., 1., 0., 0., 0.], target_grasp_center_pose)[:3] ]) vec = grippers_pos_targets[0, :2] - grippers_pos_targets[1, :2] right_yaw = np.arctan2(vec[1], vec[0]) + np.pi/2 left_yaw = np.arctan2(-vec[1], -vec[0]) + np.pi/2 grasp_radius = np.linalg.norm(vec, ord=2) / 2.0 assert np.allclose(grasp_radius, dist_between_grippers / 2.0) if self.mocap_ctrl: self._move_arms_mocap( left_target=grippers_pos_targets[0], left_yaw=left_yaw, right_target=grippers_pos_targets[1], right_yaw=right_yaw, left_grp_config=l_fingers_ctrl, right_grp_config=r_fingers_ctrl, max_steps=1, ) else: self._move_arms( left_target=grippers_pos_targets[0], left_yaw=left_yaw, right_target=grippers_pos_targets[1], right_yaw=right_yaw, left_grp_config=l_fingers_ctrl, right_grp_config=r_fingers_ctrl, max_steps=5, ) obs = self._get_obs() done = False # self.is_object_unreachable() info = {'is_success': self._is_success(obs['achieved_goal'], self.goal)} reward = self.compute_reward(obs['achieved_goal'], self.goal, info) return obs, reward, done, info def render(self, mode='human', keep_markers=False, rgb_options=None): markers = [] if keep_markers: markers = copy.deepcopy(self.viewer._markers) res = self.sim_env.render(mode=mode, rgb_options=rgb_options) for m in markers: self.viewer.add_marker(*m) return res def reset(self): self._reset() self.sim_env.goal = self._sample_goal().copy() self.sim.step() return self._get_obs() # GoalEnv methods # ---------------------------- @property def goal(self): return self.sim_env.goal[:3] def _sample_goal(self): new_goal = self.sim_env._sample_goal() return new_goal def compute_reward(self, achieved_goal: np.ndarray, goal: np.ndarray, info: dict): if self.reward_type == 'sparse': success = self._is_success(achieved_goal, goal).astype(np.float32) return success - 1. else: d = _goal_distance(achieved_goal, goal) return -d def _is_success(self, achieved_goal: np.ndarray, desired_goal: np.ndarray): d = _goal_distance(achieved_goal, desired_goal) return (d < self.distance_threshold).astype(np.float32) def _get_obs(self): if self.sim_env.is_pressing_button(): self.sim_env._did_press_button() grippers_pos = np.r_[self.get_gripper_pos('l'), self.get_gripper_pos('r')] grippers_velp = np.r_[self.get_gripper_velp('l'), self.get_gripper_velp('r')] grasp_center_pos = self.get_grasp_center_pos() grasp_center_velp = self.get_grasp_center_velp() object_pos = self.get_object_pos() object_rot = self.get_object_rot() object_velp = self.get_object_velp() object_velr = self.get_object_velr() object_rel_pos = object_pos - grasp_center_pos object_velp -= grasp_center_velp achieved_goal = object_pos.copy() obs = np.r_[ grasp_center_pos, grasp_center_velp, grippers_pos, grippers_velp, object_pos, object_rot, object_rel_pos, object_velp, object_velr ] return dict( observation=obs, achieved_goal=achieved_goal, desired_goal=self.goal.copy(), ) # Arm control # ---------------------------- def _controller(self, error, prev_error, k): if np.all(prev_error == 0.0): d_err = 0.0 else: d_err = (error - prev_error) / self.sim_env.dt prev_error[:] = error return -(1.0 error + 0.05 * d_err) * k def _move_arms(self, , left_target: np.ndarray, right_target: np.ndarray, left_yaw=0.0, right_yaw=0.0, pos_threshold=0.02, rot_threshold=0.1, k=2.0, max_steps=100, count_stable_steps=False, targets_relative_to=None, left_grp_config=-1.0, right_grp_config=-1.0): targets = {'l': left_target, 'r': right_target} yaws = {'l': left_yaw, 'r': right_yaw} stable_steps = 0 prev_rel_pos = np.zeros(3) u = np.zeros(self.sim_env.action_space.shape) prev_err_l = np.zeros(7) prev_err_r = np.zeros(7) max_pos_err = -np.inf for i in range(max_steps): grasp_center_pos = np.zeros(3) max_rot_err = -np.inf max_pos_err = -np.inf d_above_table = self.get_object_pos()[2] - self.sim_env._object_z_offset grp_xrot = 0.9 + d_above_table 2.0 for arm_i, arm in enumerate(('l', 'r')): curr_pose = self.get_gripper_pose(arm) curr_q = self.get_arm_config(arm) if arm == 'l': pitch = np.pi - grp_xrot u_masked = u[:7] prev_err = prev_err_l else: pitch = np.pi - grp_xrot u_masked = u[8:15] prev_err = prev_err_r if callable(targets_relative_to): reference = targets_relative_to() target_pos = tf.apply_tf(targets[arm], reference)[:3] else: target_pos = targets[arm] target_pose = np.r_[target_pos, tf.rotations.euler2quat(np.r_[0., 0., yaws[arm]])] target_pose = tf.apply_tf(np.r_[0., 0., 0., tf.rotations.euler2quat(np.r_[pitch, 0., 0.])], target_pose) grasp_center_pos += curr_pose[:3] max_pos_err = max(max_pos_err, np.abs(curr_pose[:3] - target_pose[:3]).max()) max_rot_err = max(max_rot_err, tf.quat_angle_diff(curr_pose[3:], target_pose[3:])) target_q = self.sim_env.mocap_ik(target_pose - curr_pose, arm) u_masked[:] = self._controller(curr_q - target_q, prev_err, k) if self.viewer is not None and self.render_poses: tf.render_pose(target_pos.copy(), self.viewer, label=f"{arm}_p", unique_label=True) tf.render_pose(target_pose.copy(), self.viewer, label=f"{arm}_t", unique_label=True) tf.render_pose(curr_pose.copy(), self.viewer, label=f"{arm}", unique_label=True) grasp_center_pos /= 2.0 u[7] = left_grp_config u[15] = right_grp_config u = np.clip(u, self.sim_env.action_space.low, self.sim_env.action_space.high) self.sim_env._set_action(u) self.sim.step() self.sim_env._step_callback() if self.viewer is not None: if self.render_poses: tf.render_pose(grasp_center_pos, self.viewer, label="grasp_center", unique_id=5554) self.render(keep_markers=True) if max_pos_err < pos_threshold and max_rot_err < rot_threshold: break if count_stable_steps: obj_pos = self.get_object_pos() rel_pos = obj_pos - grasp_center_pos still = prev_rel_pos is not None and np.all(np.abs(rel_pos - prev_rel_pos) < 0.002) obj_above_table = len(self.sim_env.get_object_contact_points(other_body='table')) == 0 if still and obj_above_table: stable_steps += 1 elif i > 10: break prev_rel_pos = rel_pos if count_stable_steps: return stable_steps return max_pos_err def _move_arms_mocap(self, , left_target: np.ndarray, right_target: np.ndarray, left_yaw=0.0, right_yaw=0.0, pos_threshold=0.02, rot_threshold=0.1, k=1.0, max_steps=1, left_grp_config=-1.0, right_grp_config=-1.0): targets = {'l': left_target, 'r': right_target} yaws = {'l': left_yaw, 'r': right_yaw} self.sim.model.eq_active[:] = 1 for i in range(max_steps): grasp_center_pos = np.zeros(3) max_rot_err = -np.inf max_pos_err = -np.inf d_above_table = self.get_object_pos()[2] - self.sim_env._object_z_offset grp_xrot = 0.9 + d_above_table 2.0 mocap_a = np.zeros((self.sim.model.nmocap, 7)) for arm_i, arm in enumerate(('l', 'r')): curr_pose = self.get_gripper_pose(arm) pitch = np.pi - grp_xrot target_pos = targets[arm] target_pose = np.r_[target_pos, tf.rotations.euler2quat(np.r_[0., 0., yaws[arm]])] target_pose = tf.apply_tf(np.r_[0., 0., 0., tf.rotations.euler2quat(np.r_[pitch, 0., 0.])], target_pose) grasp_center_pos += curr_pose[:3] if max_steps > 1: max_pos_err = max(max_pos_err, np.abs(curr_pose[:3] - target_pose[:3]).max()) max_rot_err = max(max_rot_err, tf.quat_angle_diff(curr_pose[3:], target_pose[3:])) mocap_a[arm_i] = target_pose - curr_pose if self.viewer is not None and self.render_poses: tf.render_pose(target_pos.copy(), self.viewer, label=f"{arm}_p", unique_label=True) tf.render_pose(target_pose.copy(), self.viewer, label=f"{arm}_t", unique_label=True) tf.render_pose(curr_pose.copy(), self.viewer, label=f"{arm}", unique_label=True) grasp_center_pos /= 2.0 # set config of grippers u = np.zeros(self.sim_env.action_space.shape) u[7] = left_grp_config u[15] = right_grp_config self.sim_env._set_action(u) # set pose of grippers _mocap_set_action(self.sim, mocap_a * k) # take simulation step self.sim.step() self.sim_env._step_callback() if self.viewer is not None: if self.render_poses: tf.render_pose(grasp_center_pos, self.viewer, label="grasp_center", unique_id=5554) self.render(keep_markers=True) if max_pos_err < pos_threshold and max_rot_err < rot_threshold: break	[ 1, 529, 276, 1112, 420, 29958, 4287, 417, 29899, 29914, 29887, 962, 29966, 9507, 29958, 29887, 962, 29914, 264, 4270, 29914, 29891, 15547, 29914, 29891, 15547, 29918, 3075, 22042, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 3509, 13, 13, 5215, 12655, 408, 7442, 13, 5215, 330, 962, 13, 3166, 330, 962, 1053, 8162, 13, 3166, 330, 962, 29889, 264, 4270, 29889, 29891, 15547, 29889, 29891, 15547, 29918, 6272, 1053, 612, 15547, 21745, 29892, 612, 15547, 5398, 13, 3166, 330, 962, 29889, 13239, 1053, 29304, 408, 15886, 13, 3166, 330, 962, 29889, 264, 4270, 29889, 307, 7451, 1199, 29889, 13239, 1053, 10092, 29918, 29885, 542, 481, 29906, 2587, 29918, 29916, 1066, 13, 13, 13, 1753, 903, 28111, 29918, 19244, 29898, 28111, 29918, 29874, 29892, 7306, 29918, 29890, 1125, 13, 1678, 4974, 7306, 29918, 29874, 29889, 12181, 1275, 7306, 29918, 29890, 29889, 12181, 13, 1678, 4974, 7306, 29918, 29874, 29889, 12181, 14352, 29896, 29962, 1275, 29871, 29941, 13, 1678, 19471, 29918, 1066, 353, 7306, 29918, 29874, 29961, 16361, 584, 29941, 29962, 448, 7306, 29918, 29890, 29961, 16361, 584, 29941, 29962, 13, 1678, 270, 29918, 1066, 353, 7442, 29889, 29880, 979, 29887, 29889, 12324, 29898, 4181, 29918, 1066, 29892, 9685, 10457, 29896, 29897, 13, 1678, 736, 270, 29918, 1066, 13, 13, 13, 1753, 903, 29885, 542, 481, 29918, 842, 29918, 2467, 29898, 3601, 29892, 3158, 1125, 13, 1678, 396, 22118, 635, 515, 330, 962, 29889, 264, 4270, 29889, 307, 7451, 1199, 29889, 13239, 13, 1678, 565, 1027, 29889, 4299, 29889, 22882, 542, 481, 1405, 29871, 29900, 29901, 13, 4706, 926, 29918, 4181, 353, 3158, 7503, 29892, 584, 29941, 29962, 13, 4706, 439, 271, 29918, 4181, 353, 3158, 7503, 29892, 29871, 29941, 17531, 13, 4706, 10092, 29918, 29885, 542, 481, 29906, 2587, 29918, 29916, 1066, 29898, 3601, 29897, 13, 4706, 1027, 29889, 1272, 29889, 29885, 542, 481, 29918, 1066, 7503, 29962, 4619, 926, 29918, 4181, 13, 4706, 1027, 29889, 1272, 29889, 29885, 542, 481, 29918, 339, 271, 7503, 29962, 4619, 439, 271, 29918, 4181, 13, 13, 13, 1990, 612, 15547, 14131, 1312, 21745, 29898, 29887, 962, 29889, 8120, 284, 21745, 1125, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 334, 29892, 20751, 29918, 1853, 2433, 1145, 344, 742, 13733, 29918, 24220, 29922, 8824, 29892, 23915, 29918, 24220, 29922, 8824, 29892, 5418, 29918, 386, 12268, 29922, 29900, 29889, 29900, 29945, 29892, 13, 462, 4036, 675, 29918, 11228, 29918, 3318, 29918, 1066, 29922, 5574, 29892, 286, 542, 481, 29918, 24220, 29922, 8824, 29892, 4050, 29918, 10590, 29922, 5574, 29892, 13, 462, 1203, 29918, 333, 2433, 9155, 29918, 1884, 742, 3579, 19290, 1125, 13, 4706, 2428, 29898, 29979, 15547, 14131, 1312, 21745, 29892, 1583, 467, 1649, 2344, 1649, 580, 13, 13, 4706, 1583, 29889, 19635, 353, 426, 13, 9651, 525, 9482, 29889, 1545, 267, 2396, 6024, 26029, 7464, 13, 4706, 500, 13, 13, 4706, 1583, 29889, 3601, 29918, 6272, 353, 612, 15547, 21745, 29898, 13, 9651, 5075, 2433, 20313, 742, 2908, 29918, 29887, 374, 2496, 29922, 8824, 29892, 20751, 29918, 1853, 29922, 276, 1328, 29918, 1853, 29892, 3414, 29922, 29979, 15547, 5398, 29889, 2227, 7077, 29918, 9468, 29918, 7390, 11538, 29918, 14824, 17637, 29892, 13, 9651, 1203, 29918, 333, 29922, 3318, 29918, 333, 29892, 4036, 675, 29918, 11228, 29918, 3318, 29918, 1066, 29922, 8172, 675, 29918, 11228, 29918, 3318, 29918, 1066, 29892, 3579, 19290, 29892, 13, 4706, 1723, 13, 4706, 1583, 29889, 29885, 542, 481, 29918, 24220, 353, 286, 542, 481, 29918, 24220, 13, 4706, 1583, 29889, 276, 1328, 29918, 1853, 353, 20751, 29918, 1853, 13, 4706, 1583, 29889, 19244, 29918, 386, 12268, 353, 5418, 29918, 386, 12268, 13, 4706, 1583, 29889, 9482, 29918, 10590, 353, 4050, 29918, 10590, 13, 4706, 20881, 353, 1583, 3032, 657, 29918, 26290, 580, 13, 13, 4706, 302, 29918, 7387, 353, 29871, 29946, 396, 1320, 1546, 330, 374, 22437, 313, 29896, 29897, 718, 25274, 4818, 926, 19471, 313, 29941, 29897, 13, 4706, 565, 13733, 29918, 24220, 29901, 13, 9651, 302, 29918, 7387, 4619, 29871, 29946, 396, 25274, 4818, 439, 271, 19471, 313, 29946, 29897, 13, 4706, 565, 23915, 29918, 24220, 29901, 13, 9651, 302, 29918, 7387, 4619, 29871, 29906, 396, 396, 1320, 1546, 23915, 29892, 313, 1563, 29892, 1492, 29897, 330, 374, 22437, 313, 29906, 29897, 13, 4706, 1583, 29889, 5450, 362, 29918, 24220, 29918, 17590, 353, 13733, 29918, 24220, 13, 4706, 1583, 29889, 29888, 19936, 29918, 24220, 29918, 17590, 353, 23915, 29918, 24220, 13, 4706, 1583, 29889, 29888, 19936, 29918, 4381, 29918, 517, 29918, 3150, 353, 7700, 13, 13, 4706, 1583, 29889, 2467, 29918, 3493, 353, 8162, 29889, 3313, 6278, 29896, 1696, 29871, 29896, 1696, 8267, 7607, 29876, 29918, 7387, 29892, 511, 26688, 2433, 7411, 29941, 29906, 1495, 13, 4706, 1583, 29889, 26739, 362, 29918, 3493, 353, 8162, 29889, 21533, 29898, 8977, 29898, 13, 9651, 7429, 29918, 28111, 29922, 22854, 29889, 3313, 6278, 9302, 29889, 7192, 29892, 7442, 29889, 7192, 29892, 8267, 29922, 26290, 1839, 496, 6402, 29918, 28111, 13359, 12181, 29892, 26688, 2433, 7411, 29941, 29906, 5477, 13, 9651, 14363, 29918, 28111, 29922, 22854, 29889, 3313, 6278, 9302, 29889, 7192, 29892, 7442, 29889, 7192, 29892, 8267, 29922, 26290, 1839, 496, 6402, 29918, 28111, 13359, 12181, 29892, 26688, 2433, 7411, 29941, 29906, 5477, 13, 9651, 15500, 29922, 22854, 29889, 3313, 6278, 9302, 29889, 7192, 29892, 7442, 29889, 7192, 29892, 8267, 29922, 26290, 1839, 26739, 362, 13359, 12181, 29892, 26688, 2433, 7411, 29941, 29906, 5477, 13, 308, 876, 13, 13, 1678, 396, 13899, 7582, 29879, 13, 1678, 396, 448, 2683, 1378, 5634, 13, 13, 1678, 822, 16523, 29918, 3318, 29918, 2344, 29918, 1066, 29898, 1311, 29892, 926, 29901, 7442, 29889, 299, 2378, 29892, 281, 2273, 29918, 2371, 29922, 8824, 29892, 1286, 29922, 8824, 1125, 13, 4706, 1583, 29889, 3601, 29918, 6272, 29889, 16593, 29918, 3318, 29918, 2344, 29918, 1066, 29898, 1066, 29892, 281, 2273, 29918, 2371, 29922, 29893, 2273, 29918, 2371, 29892, 1286, 29922, 3707, 29897, 13, 13, 1678, 732, 6799, 13, 1678, 822, 6316, 556, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29918, 6272, 29889, 29894, 15580, 13, 13, 1678, 732, 6799, 13, 1678, 822, 1027, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29918, 6272, 29889, 3601, 13, 13, 1678, 732, 6799, 13, 1678, 822, 7442, 29918, 8172, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29918, 6272, 29889, 9302, 29918, 8172, 13, 13, 1678, 822, 903, 657, 29918, 3318, 29918, 2311, 29898, 1311, 1125, 13, 4706, 23216, 353, 1583, 29889, 3601, 29889, 4299, 29889, 479, 290, 29918, 978, 29906, 333, 877, 3318, 29900, 29918, 3188, 1495, 13, 4706, 736, 1583, 29889, 3601, 29889, 4299, 29889, 479, 290, 29918, 2311, 29961, 479, 290, 1822, 8552, 580, 13, 13, 1678, 822, 679, 29918, 3318, 29918, 4220, 29898, 1311, 1125, 13, 4706, 736, 7442, 29889, 29878, 29918, 29961, 13, 9651, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2587, 29918, 29916, 1066, 877, 3318, 29900, 5477, 13, 9651, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2587, 29918, 29916, 339, 271, 877, 3318, 29900, 5477, 13, 4706, 4514, 13, 13, 1678, 822, 679, 29918, 3318, 29918, 1066, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2587, 29918, 29916, 1066, 877, 3318, 29900, 2824, 8552, 580, 13, 13, 1678, 822, 679, 29918, 3318, 29918, 5450, 29898, 1311, 1125, 13, 4706, 736, 15886, 29889, 5450, 800, 29889, 2922, 29906, 29872, 8584, 29898, 1311, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 2922, 877, 3318, 29900, 29901, 5064, 8785, 13, 13, 1678, 822, 679, 29918, 3318, 29918, 955, 29886, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 955, 29886, 877, 3318, 29900, 29901, 5064, 1495, 334, 1583, 29889, 3601, 29918, 6272, 29889, 6008, 13, 13, 1678, 822, 679, 29918, 3318, 29918, 955, 29878, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 955, 29878, 877, 3318, 29900, 29901, 5064, 1495, 334, 1583, 29889, 3601, 29918, 6272, 29889, 6008, 13, 13, 1678, 822, 679, 29918, 29887, 374, 2496, 29918, 4220, 29898, 1311, 29892, 5075, 1125, 13, 4706, 4974, 5075, 297, 6702, 29880, 742, 525, 29878, 1495, 13, 4706, 736, 7442, 29889, 29878, 29918, 29961, 13, 9651, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 1066, 29898, 29888, 29915, 29887, 374, 2496, 648, 2817, 2403, 5064, 5477, 13, 9651, 15886, 29889, 5450, 800, 29889, 2922, 29906, 339, 271, 29898, 1311, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 2922, 29898, 29888, 29915, 29887, 374, 2496, 648, 2817, 2403, 5064, 1495, 511, 13, 4706, 4514, 13, 13, 1678, 822, 679, 29918, 29887, 374, 2496, 29918, 1066, 29898, 1311, 29892, 5075, 1125, 13, 4706, 4974, 5075, 297, 6702, 29880, 742, 525, 29878, 1495, 13, 4706, 736, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 1066, 29898, 29888, 29915, 29887, 374, 2496, 648, 2817, 2403, 5064, 2824, 8552, 580, 13, 13, 1678, 822, 679, 29918, 29887, 374, 2496, 29918, 955, 29886, 29898, 1311, 29892, 5075, 1125, 13, 4706, 4974, 5075, 297, 6702, 29880, 742, 525, 29878, 1495, 13, 4706, 736, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 955, 29886, 29898, 29888, 29915, 29887, 374, 2496, 648, 2817, 2403, 5064, 1495, 334, 1583, 29889, 3601, 29918, 6272, 29889, 6008, 13, 13, 1678, 822, 679, 29918, 629, 4692, 29918, 5064, 29918, 1066, 29898, 1311, 1125, 13, 4706, 736, 313, 1311, 29889, 657, 29918, 29887, 374, 2496, 29918, 1066, 877, 29880, 1495, 718, 1583, 29889, 657, 29918, 29887, 374, 2496, 29918, 1066, 877, 29878, 8785, 847, 29871, 29906, 29889, 29900, 13, 13, 1678, 822, 679, 29918, 629, 4692, 29918, 5064, 29918, 955, 29886, 29898, 1311, 1125, 13, 4706, 736, 313, 1311, 29889, 657, 29918, 29887, 374, 2496, 29918, 955, 29886, 877, 29880, 1495, 718, 1583, 29889, 657, 29918, 29887, 374, 2496, 29918, 955, 29886, 877, 29878, 8785, 847, 29871, 29906, 29889, 29900, 13, 13, 1678, 822, 679, 29918, 2817, 29918, 2917, 29898, 1311, 29892, 5075, 1125, 13, 4706, 565, 5075, 1275, 525, 29880, 2396, 13, 9651, 22645, 353, 1583, 29889, 3601, 29918, 6272, 3032, 2817, 29918, 29880, 29918, 12090, 29918, 13140, 13, 4706, 1683, 29901, 13, 9651, 22645, 353, 1583, 29889, 3601, 29918, 6272, 3032, 2817, 29918, 29878, 29918, 12090, 29918, 13140, 13, 4706, 736, 1583, 29889, 3601, 29889, 1272, 29889, 29939, 1066, 29961, 13140, 1822, 8552, 580, 13, 13, 1678, 822, 679, 29918, 7662, 29918, 3493, 29898, 1311, 1125, 13, 4706, 5446, 29918, 13471, 353, 1583, 3032, 657, 29918, 3318, 29918, 2311, 580, 29961, 29900, 29962, 13, 4706, 736, 7442, 29889, 29878, 29918, 29961, 5415, 29918, 13471, 29930, 29896, 29889, 29900, 29892, 5446, 29918, 13471, 29930, 29896, 29889, 29900, 29892, 29871, 29900, 29889, 29900, 29941, 29962, 13, 13, 1678, 822, 338, 29918, 3318, 29918, 265, 29918, 2057, 29898, 1311, 1125, 13, 4706, 5446, 29918, 4220, 353, 1583, 29889, 657, 29918, 3318, 29918, 1066, 580, 13, 4706, 736, 5446, 29918, 4220, 29961, 29906, 29962, 529, 29871, 29900, 29889, 29900, 13, 13, 1678, 822, 338, 29918, 3318, 29918, 348, 276, 496, 519, 29898, 1311, 1125, 13, 4706, 5446, 29918, 4220, 353, 1583, 29889, 657, 29918, 3318, 29918, 1066, 580, 13, 4706, 736, 451, 313, 13, 9651, 8521, 29900, 29889, 29896, 29945, 529, 5446, 29918, 4220, 29961, 29900, 29962, 529, 29871, 29900, 29889, 29896, 29945, 29897, 13, 9651, 322, 8521, 29900, 29889, 29896, 29945, 529, 5446, 29918, 4220, 29961, 29896, 29962, 529, 29871, 29900, 29889, 29896, 29945, 29897, 13, 9651, 322, 8521, 29900, 29889, 29900, 29896, 529, 5446, 29918, 4220, 29961, 29906, 29962, 529, 29871, 29900, 29889, 29946, 29945, 29897, 13, 4706, 1723, 13, 13, 1678, 822, 679, 29918, 2371, 29918, 7610, 2161, 29918, 4220, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29918, 6272, 29889, 657, 29918, 2371, 29918, 7610, 2161, 29918, 4220, 580, 13, 13, 1678, 822, 903, 348, 4058, 29918, 2467, 29898, 1311, 29892, 3158, 1125, 13, 4706, 1320, 29918, 14811, 29918, 29887, 374, 22437, 353, 3158, 29961, 29900, 29962, 13, 4706, 25274, 29918, 5064, 29918, 1066, 29918, 4181, 353, 3158, 29961, 29896, 29901, 29946, 29962, 13, 4706, 9210, 353, 29871, 29946, 13, 13, 4706, 565, 1583, 29889, 5450, 362, 29918, 24220, 29918, 17590, 29901, 13, 9651, 25274, 29918, 5064, 29918, 339, 271, 29918, 4181, 353, 3158, 29961, 10289, 29901, 10289, 29974, 29946, 29962, 13, 9651, 9210, 4619, 29871, 29946, 13, 4706, 1683, 29901, 13, 9651, 25274, 29918, 5064, 29918, 339, 271, 29918, 4181, 353, 7442, 29889, 29878, 29918, 29961, 29896, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 5586, 13, 13, 4706, 565, 1583, 29889, 29888, 19936, 29918, 24220, 29918, 17590, 29901, 13, 9651, 301, 29918, 29888, 19936, 29918, 24220, 29892, 364, 29918, 29888, 19936, 29918, 24220, 353, 3158, 29961, 10289, 29901, 10289, 29974, 29906, 29962, 13, 4706, 1683, 29901, 13, 9651, 301, 29918, 29888, 19936, 29918, 24220, 353, 364, 29918, 29888, 19936, 29918, 24220, 353, 448, 29896, 29889, 565, 1583, 29889, 29888, 19936, 29918, 4381, 29918, 517, 29918, 3150, 1683, 29871, 29896, 29889, 13, 13, 4706, 736, 313, 13, 9651, 1320, 29918, 14811, 29918, 29887, 374, 22437, 29892, 25274, 29918, 5064, 29918, 1066, 29918, 4181, 29892, 13, 9651, 25274, 29918, 5064, 29918, 339, 271, 29918, 4181, 29892, 301, 29918, 29888, 19936, 29918, 24220, 29892, 364, 29918, 29888, 19936, 29918, 24220, 13, 4706, 1723, 13, 13, 1678, 822, 903, 12071, 29898, 1311, 1125, 13, 13, 4706, 3855, 1066, 353, 7442, 29889, 29878, 29918, 29961, 13, 632, 29900, 29889, 29945, 29941, 29941, 29896, 29892, 29871, 29900, 29889, 29900, 29946, 29953, 29892, 29871, 29900, 29889, 29941, 29896, 29946, 29947, 29892, 448, 29900, 29889, 29900, 29906, 29900, 29953, 29892, 448, 29900, 29889, 29947, 29929, 29929, 29929, 29892, 29871, 29896, 29889, 29900, 29947, 29929, 29947, 29892, 448, 29906, 29889, 29896, 29900, 29906, 29946, 29892, 29871, 29900, 29889, 29900, 29892, 29871, 29900, 29889, 29900, 29900, 29900, 29906, 29892, 448, 29900, 29889, 29900, 29947, 29955, 29945, 29892, 29871, 29900, 29889, 29900, 29906, 29947, 29947, 29892, 448, 29900, 29889, 29953, 29955, 29953, 29896, 29892, 13, 632, 29900, 29889, 29900, 29896, 29929, 29953, 29892, 29871, 29900, 29889, 29947, 29946, 29896, 29892, 29871, 29896, 29889, 29900, 29900, 29896, 29906, 29892, 448, 29900, 29889, 29929, 29945, 29947, 29945, 29892, 448, 29900, 29889, 29900, 29892, 29871, 29900, 29889, 29900, 29900, 29900, 29896, 29892, 29871, 29900, 29889, 29900, 29906, 29945, 29892, 29871, 29900, 29889, 29900, 29906, 29945, 29892, 29871, 29900, 29889, 29900, 29941, 29892, 29871, 29896, 29889, 29900, 29892, 448, 29900, 29889, 29900, 29892, 29871, 29900, 29889, 29900, 29892, 29871, 29900, 29889, 29900, 13, 4706, 4514, 13, 13, 4706, 565, 1583, 29889, 3601, 29918, 6272, 29889, 5349, 29918, 5450, 1218, 29918, 12120, 29901, 13, 9651, 3855, 1066, 353, 7442, 29889, 29878, 29918, 14352, 29900, 29889, 29955, 29945, 29892, 3855, 1066, 29962, 13, 13, 4706, 3855, 955, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 1311, 29889, 3601, 29918, 6272, 29889, 2344, 29918, 29939, 955, 29897, 13, 13, 4706, 1583, 29889, 3601, 29889, 1272, 29889, 24220, 7503, 29962, 353, 29871, 29900, 29889, 29900, 13, 4706, 1583, 29889, 3601, 29918, 6272, 3032, 842, 29918, 3601, 29918, 3859, 29898, 29939, 1066, 29892, 3855, 955, 29897, 13, 13, 4706, 1203, 29918, 29939, 1066, 353, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 12090, 29918, 29939, 1066, 877, 3318, 29900, 29901, 12090, 2824, 8552, 580, 13, 4706, 1583, 29889, 3601, 29918, 6272, 3032, 3318, 29918, 3594, 29918, 1066, 29918, 517, 29918, 16593, 353, 1583, 29889, 9302, 29918, 8172, 29889, 29590, 10456, 1311, 29889, 3601, 29918, 6272, 3032, 5415, 29918, 2344, 29918, 23687, 29897, 13, 4706, 565, 1583, 29889, 3601, 29918, 6272, 29889, 5349, 29918, 5450, 1218, 29918, 12120, 29901, 13, 9651, 1203, 29918, 29939, 1066, 29961, 29906, 29962, 4619, 29871, 29900, 29889, 29900, 29906, 29900, 13, 9651, 1203, 29918, 29939, 1066, 7503, 29906, 29962, 353, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 1066, 877, 5450, 1218, 29918, 12120, 29901, 15641, 29918, 355, 1495, 7503, 29906, 29962, 13, 4706, 25342, 1583, 29889, 3601, 29918, 6272, 29889, 5349, 29918, 3092, 29901, 13, 9651, 1203, 29918, 29939, 1066, 7503, 29906, 29962, 353, 29871, 29900, 29889, 29941, 29955, 29945, 29892, 448, 29900, 29889, 29946, 29955, 29953, 13, 4706, 25342, 1583, 29889, 3601, 29918, 6272, 29889, 8172, 675, 29918, 11228, 29918, 3318, 29918, 1066, 29901, 13, 9651, 396, 16968, 675, 2847, 2602, 310, 1203, 29889, 13, 9651, 1203, 29918, 29939, 1066, 7503, 29906, 29962, 353, 1583, 29889, 3601, 29918, 6272, 3032, 3318, 29918, 3594, 29918, 1066, 29918, 517, 29918, 16593, 29889, 8552, 580, 13, 4706, 1583, 29889, 3601, 29889, 1272, 29889, 842, 29918, 12090, 29918, 29939, 1066, 877, 3318, 29900, 29901, 12090, 742, 1203, 29918, 29939, 1066, 29897, 13, 13, 4706, 1583, 29889, 3601, 29918, 6272, 3032, 12071, 29918, 3092, 580, 13, 13, 1678, 396, 1174, 29894, 3519, 13, 1678, 396, 448, 2683, 1378, 5634, 13, 13, 1678, 822, 16717, 29898, 1311, 29892, 16717, 29922, 8516, 1125, 13, 4706, 1583, 29889, 3601, 29918, 6272, 29889, 26776, 29898, 26776, 29897, 13, 13, 1678, 822, 4331, 29898, 1311, 29892, 3158, 29901, 7442, 29889, 299, 2378, 1125, 13, 13, 4706, 3158, 353, 7442, 29889, 24049, 29898, 2467, 29892, 1583, 29889, 2467, 29918, 3493, 29889, 677, 29892, 1583, 29889, 2467, 29918, 3493, 29889, 9812, 29897, 13, 13, 4706, 313, 5721, 29918, 14811, 29918, 29887, 374, 22437, 29892, 25274, 29918, 5064, 29918, 1066, 29918, 4181, 29892, 13, 308, 25274, 29918, 5064, 29918, 339, 271, 29918, 4181, 29892, 301, 29918, 29888, 19936, 29918, 24220, 29892, 364, 29918, 29888, 19936, 29918, 24220, 29897, 353, 1583, 3032, 348, 4058, 29918, 2467, 29898, 2467, 29897, 13, 13, 4706, 565, 1583, 29889, 29885, 542, 481, 29918, 24220, 29901, 13, 9651, 926, 29918, 29895, 353, 29871, 29900, 29889, 29896, 13, 9651, 1320, 29918, 3881, 353, 518, 29900, 29889, 29900, 29945, 29892, 29871, 29900, 29889, 29906, 29900, 29962, 13, 4706, 1683, 29901, 13, 9651, 926, 29918, 29895, 353, 29871, 29900, 29889, 29906, 13, 9651, 1320, 29918, 3881, 353, 518, 29900, 29889, 29900, 29945, 29892, 29871, 29900, 29889, 29941, 29900, 29962, 13, 13, 4706, 1320, 29918, 14811, 29918, 29887, 374, 22437, 353, 7442, 29889, 1639, 29886, 29898, 5721, 29918, 14811, 29918, 29887, 374, 22437, 29892, 21069, 29896, 29892, 29871, 29896, 1402, 1320, 29918, 3881, 29897, 13, 13, 4706, 16256, 29918, 629, 4692, 29918, 5064, 29918, 4220, 353, 1583, 29889, 657, 29918, 629, 4692, 29918, 5064, 29918, 1066, 580, 396, 14402, 29901, 4803, 18593, 3265, 1135, 2602, 871, 13, 4706, 3646, 29918, 629, 4692, 29918, 5064, 29918, 4220, 353, 7442, 29889, 29878, 29918, 29961, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 29871, 29896, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 5586, 13, 13, 4706, 3646, 29918, 629, 4692, 29918, 5064, 29918, 4220, 7503, 29941, 29962, 353, 16256, 29918, 629, 4692, 29918, 5064, 29918, 4220, 7503, 29941, 29962, 718, 25274, 29918, 5064, 29918, 1066, 29918, 4181, 334, 926, 29918, 29895, 13, 4706, 565, 1583, 29889, 5450, 362, 29918, 24220, 29918, 17590, 29901, 13, 9651, 396, 3646, 29918, 629, 4692, 29918, 5064, 29918, 4220, 29961, 29941, 17531, 353, 16256, 29918, 629, 4692, 29918, 5064, 29918, 4220, 29961, 29941, 17531, 718, 25274, 29918, 5064, 29918, 339, 271, 29918, 4181, 334, 29871, 29900, 29889, 29896, 13, 9651, 12020, 2216, 1888, 2037, 287, 2392, 13, 13, 4706, 330, 374, 22437, 29918, 1066, 29918, 5182, 29879, 353, 7442, 29889, 2378, 4197, 13, 9651, 15886, 29889, 7302, 29918, 13264, 29898, 9302, 29889, 29878, 29918, 29961, 29900, 1696, 1320, 29918, 14811, 29918, 29887, 374, 22437, 29914, 29906, 29889, 29900, 29892, 29871, 29900, 1696, 29871, 29896, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 29889, 1402, 3646, 29918, 629, 4692, 29918, 5064, 29918, 4220, 29897, 7503, 29941, 1402, 13, 9651, 15886, 29889, 7302, 29918, 13264, 29898, 9302, 29889, 29878, 29918, 29961, 29900, 1696, 448, 5721, 29918, 14811, 29918, 29887, 374, 22437, 29914, 29906, 29889, 29900, 29892, 29871, 29900, 1696, 29871, 29896, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 29889, 1402, 3646, 29918, 629, 4692, 29918, 5064, 29918, 4220, 29897, 7503, 29941, 29962, 13, 308, 2314, 13, 13, 4706, 9649, 353, 330, 374, 22437, 29918, 1066, 29918, 5182, 29879, 29961, 29900, 29892, 584, 29906, 29962, 448, 330, 374, 22437, 29918, 1066, 29918, 5182, 29879, 29961, 29896, 29892, 584, 29906, 29962, 13, 4706, 1492, 29918, 29891, 1450, 353, 7442, 29889, 27014, 273, 29906, 29898, 2003, 29961, 29896, 1402, 9649, 29961, 29900, 2314, 718, 7442, 29889, 1631, 29914, 29906, 13, 4706, 2175, 29918, 29891, 1450, 353, 7442, 29889, 27014, 273, 29906, 6278, 2003, 29961, 29896, 1402, 448, 2003, 29961, 29900, 2314, 718, 7442, 29889, 1631, 29914, 29906, 13, 13, 4706, 25274, 29918, 13471, 353, 7442, 29889, 29880, 979, 29887, 29889, 12324, 29898, 2003, 29892, 4356, 29922, 29906, 29897, 847, 29871, 29906, 29889, 29900, 13, 4706, 4974, 7442, 29889, 497, 5358, 29898, 629, 4692, 29918, 13471, 29892, 1320, 29918, 14811, 29918, 29887, 374, 22437, 847, 29871, 29906, 29889, 29900, 29897, 13, 13, 4706, 565, 1583, 29889, 29885, 542, 481, 29918, 24220, 29901, 13, 9651, 1583, 3032, 11631, 29918, 279, 1516, 29918, 29885, 542, 481, 29898, 13, 18884, 2175, 29918, 5182, 29922, 29887, 374, 22437, 29918, 1066, 29918, 5182, 29879, 29961, 29900, 1402, 2175, 29918, 29891, 1450, 29922, 1563, 29918, 29891, 1450, 29892, 13, 18884, 1492, 29918, 5182, 29922, 29887, 374, 22437, 29918, 1066, 29918, 5182, 29879, 29961, 29896, 1402, 1492, 29918, 29891, 1450, 29922, 1266, 29918, 29891, 1450, 29892, 13, 18884, 2175, 29918, 629, 29886, 29918, 2917, 29922, 29880, 29918, 29888, 19936, 29918, 24220, 29892, 1492, 29918, 629, 29886, 29918, 2917, 29922, 29878, 29918, 29888, 19936, 29918, 24220, 29892, 4236, 29918, 24530, 29922, 29896, 29892, 13, 9651, 1723, 13, 4706, 1683, 29901, 13, 9651, 1583, 3032, 11631, 29918, 279, 1516, 29898, 13, 18884, 2175, 29918, 5182, 29922, 29887, 374, 22437, 29918, 1066, 29918, 5182, 29879, 29961, 29900, 1402, 2175, 29918, 29891, 1450, 29922, 1563, 29918, 29891, 1450, 29892, 13, 18884, 1492, 29918, 5182, 29922, 29887, 374, 22437, 29918, 1066, 29918, 5182, 29879, 29961, 29896, 1402, 1492, 29918, 29891, 1450, 29922, 1266, 29918, 29891, 1450, 29892, 13, 18884, 2175, 29918, 629, 29886, 29918, 2917, 29922, 29880, 29918, 29888, 19936, 29918, 24220, 29892, 1492, 29918, 629, 29886, 29918, 2917, 29922, 29878, 29918, 29888, 19936, 29918, 24220, 29892, 4236, 29918, 24530, 29922, 29945, 29892, 13, 9651, 1723, 13, 13, 4706, 20881, 353, 1583, 3032, 657, 29918, 26290, 580, 13, 4706, 2309, 353, 7700, 396, 1583, 29889, 275, 29918, 3318, 29918, 348, 276, 496, 519, 580, 13, 4706, 5235, 353, 11117, 275, 29918, 8698, 2396, 1583, 3032, 275, 29918, 8698, 29898, 26290, 1839, 496, 6402, 29918, 28111, 7464, 1583, 29889, 28111, 2915, 13, 4706, 20751, 353, 1583, 29889, 26017, 29918, 276, 1328, 29898, 26290, 1839, 496, 6402, 29918, 28111, 7464, 1583, 29889, 28111, 29892, 5235, 29897, 13, 4706, 736, 20881, 29892, 20751, 29892, 2309, 29892, 5235, 13, 13, 1678, 822, 4050, 29898, 1311, 29892, 4464, 2433, 26029, 742, 3013, 29918, 3502, 414, 29922, 8824, 29892, 15552, 29890, 29918, 6768, 29922, 8516, 1125, 13, 4706, 29320, 353, 5159, 13, 4706, 565, 3013, 29918, 3502, 414, 29901, 13, 9651, 29320, 353, 3509, 29889, 24535, 8552, 29898, 1311, 29889, 29894, 15580, 3032, 3502, 414, 29897, 13, 4706, 620, 353, 1583, 29889, 3601, 29918, 6272, 29889, 9482, 29898, 8513, 29922, 8513, 29892, 15552, 29890, 29918, 6768, 29922, 23973, 29918, 6768, 29897, 13, 4706, 363, 286, 297, 29320, 29901, 13, 9651, 1583, 29889, 29894, 15580, 29889, 1202, 29918, 22976, 29898, 1068, 29885, 29897, 13, 4706, 736, 620, 13, 13, 1678, 822, 10092, 29898, 1311, 1125, 13, 4706, 1583, 3032, 12071, 580, 13, 4706, 1583, 29889, 3601, 29918, 6272, 29889, 28111, 353, 1583, 3032, 11249, 29918, 28111, 2141, 8552, 580, 13, 4706, 1583, 29889, 3601, 29889, 10568, 580, 13, 4706, 736, 1583, 3032, 657, 29918, 26290, 580, 13, 13, 1678, 396, 2921, 284, 21745, 3519, 13, 1678, 396, 448, 2683, 1378, 5634, 13, 13, 1678, 732, 6799, 13, 1678, 822, 7306, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29918, 6272, 29889, 28111, 7503, 29941, 29962, 13, 13, 1678, 822, 903, 11249, 29918, 28111, 29898, 1311, 1125, 13, 4706, 716, 29918, 28111, 353, 1583, 29889, 3601, 29918, 6272, 3032, 11249, 29918, 28111, 580, 13, 4706, 736, 716, 29918, 28111, 13, 13, 1678, 822, 10272, 29918, 276, 1328, 29898, 1311, 29892, 14363, 29918, 28111, 29901, 7442, 29889, 299, 2378, 29892, 7306, 29901, 7442, 29889, 299, 2378, 29892, 5235, 29901, 9657, 1125, 13, 4706, 565, 1583, 29889, 276, 1328, 29918, 1853, 1275, 525, 29879, 5510, 2396, 13, 9651, 2551, 353, 1583, 3032, 275, 29918, 8698, 29898, 496, 6402, 29918, 28111, 29892, 7306, 467, 579, 668, 29898, 9302, 29889, 7411, 29941, 29906, 29897, 13, 9651, 736, 2551, 448, 29871, 29896, 29889, 13, 4706, 1683, 29901, 13, 9651, 270, 353, 903, 28111, 29918, 19244, 29898, 496, 6402, 29918, 28111, 29892, 7306, 29897, 13, 9651, 736, 448, 29881, 13, 13, 1678, 822, 903, 275, 29918, 8698, 29898, 1311, 29892, 14363, 29918, 28111, 29901, 7442, 29889, 299, 2378, 29892, 7429, 29918, 28111, 29901, 7442, 29889, 299, 2378, 1125, 13, 4706, 270, 353, 903, 28111, 29918, 19244, 29898, 496, 6402, 29918, 28111, 29892, 7429, 29918, 28111, 29897, 13, 4706, 736, 313, 29881, 529, 1583, 29889, 19244, 29918, 386, 12268, 467, 579, 668, 29898, 9302, 29889, 7411, 29941, 29906, 29897, 13, 13, 1678, 822, 903, 657, 29918, 26290, 29898, 1311, 1125, 13, 13, 4706, 565, 1583, 29889, 3601, 29918, 6272, 29889, 275, 29918, 2139, 292, 29918, 3092, 7295, 13, 9651, 1583, 29889, 3601, 29918, 6272, 3032, 18361, 29918, 2139, 29918, 3092, 580, 13, 13, 4706, 330, 374, 22437, 29918, 1066, 353, 7442, 29889, 29878, 29918, 29961, 1311, 29889, 657, 29918, 29887, 374, 2496, 29918, 1066, 877, 29880, 5477, 1583, 29889, 657, 29918, 29887, 374, 2496, 29918, 1066, 877, 29878, 1495, 29962, 13, 4706, 330, 374, 22437, 29918, 955, 29886, 353, 7442, 29889, 29878, 29918, 29961, 1311, 29889, 657, 29918, 29887, 374, 2496, 29918, 955, 29886, 877, 29880, 5477, 1583, 29889, 657, 29918, 29887, 374, 2496, 29918, 955, 29886, 877, 29878, 1495, 29962, 13, 13, 4706, 25274, 29918, 5064, 29918, 1066, 353, 1583, 29889, 657, 29918, 629, 4692, 29918, 5064, 29918, 1066, 580, 13, 4706, 25274, 29918, 5064, 29918, 955, 29886, 353, 1583, 29889, 657, 29918, 629, 4692, 29918, 5064, 29918, 955, 29886, 580, 13, 4706, 1203, 29918, 1066, 353, 1583, 29889, 657, 29918, 3318, 29918, 1066, 580, 13, 4706, 1203, 29918, 5450, 353, 1583, 29889, 657, 29918, 3318, 29918, 5450, 580, 13, 4706, 1203, 29918, 955, 29886, 353, 1583, 29889, 657, 29918, 3318, 29918, 955, 29886, 580, 13, 4706, 1203, 29918, 955, 29878, 353, 1583, 29889, 657, 29918, 3318, 29918, 955, 29878, 580, 13, 13, 4706, 1203, 29918, 2674, 29918, 1066, 353, 1203, 29918, 1066, 448, 25274, 29918, 5064, 29918, 1066, 13, 4706, 1203, 29918, 955, 29886, 22361, 25274, 29918, 5064, 29918, 955, 29886, 13, 13, 4706, 14363, 29918, 28111, 353, 1203, 29918, 1066, 29889, 8552, 580, 13, 13, 4706, 20881, 353, 7442, 29889, 29878, 29918, 29961, 13, 9651, 25274, 29918, 5064, 29918, 1066, 29892, 25274, 29918, 5064, 29918, 955, 29886, 29892, 330, 374, 22437, 29918, 1066, 29892, 330, 374, 22437, 29918, 955, 29886, 29892, 13, 9651, 1203, 29918, 1066, 29892, 1203, 29918, 5450, 29892, 1203, 29918, 2674, 29918, 1066, 29892, 1203, 29918, 955, 29886, 29892, 1203, 29918, 955, 29878, 13, 4706, 4514, 13, 13, 4706, 736, 9657, 29898, 13, 9651, 15500, 29922, 26290, 29892, 13, 9651, 14363, 29918, 28111, 29922, 496, 6402, 29918, 28111, 29892, 13, 9651, 7429, 29918, 28111, 29922, 1311, 29889, 28111, 29889, 8552, 3285, 13, 4706, 1723, 13, 13, 1678, 396, 8481, 2761, 13, 1678, 396, 448, 2683, 1378, 5634, 13, 13, 1678, 822, 903, 8299, 29898, 1311, 29892, 1059, 29892, 12379, 29918, 2704, 29892, 413, 1125, 13, 4706, 565, 7442, 29889, 497, 29898, 16304, 29918, 2704, 1275, 29871, 29900, 29889, 29900, 1125, 13, 9651, 270, 29918, 3127, 353, 29871, 29900, 29889, 29900, 13, 4706, 1683, 29901, 13, 9651, 270, 29918, 3127, 353, 313, 2704, 448, 12379, 29918, 2704, 29897, 847, 1583, 29889, 3601, 29918, 6272, 29889, 6008, 13, 4706, 12379, 29918, 2704, 7503, 29962, 353, 1059, 13, 4706, 736, 19691, 29896, 29889, 29900, 334, 1059, 718, 29871, 29900, 29889, 29900, 29945, 334, 270, 29918, 3127, 29897, 334, 413, 13, 13, 1678, 822, 903, 11631, 29918, 279, 1516, 29898, 1311, 29892, 334, 29892, 2175, 29918, 5182, 29901, 7442, 29889, 299, 2378, 29892, 1492, 29918, 5182, 29901, 7442, 29889, 299, 2378, 29892, 2175, 29918, 29891, 1450, 29922, 29900, 29889, 29900, 29892, 1492, 29918, 29891, 1450, 29922, 29900, 29889, 29900, 29892, 13, 462, 259, 926, 29918, 386, 12268, 29922, 29900, 29889, 29900, 29906, 29892, 5731, 29918, 386, 12268, 29922, 29900, 29889, 29896, 29892, 413, 29922, 29906, 29889, 29900, 29892, 4236, 29918, 24530, 29922, 29896, 29900, 29900, 29892, 2302, 29918, 13844, 29918, 24530, 29922, 8824, 29892, 13, 462, 259, 22525, 29918, 22925, 29918, 517, 29922, 8516, 29892, 2175, 29918, 629, 29886, 29918, 2917, 10457, 29896, 29889, 29900, 29892, 1492, 29918, 629, 29886, 29918, 2917, 10457, 29896, 29889, 29900, 1125, 13, 13, 4706, 22525, 353, 11117, 29880, 2396, 2175, 29918, 5182, 29892, 525, 29878, 2396, 1492, 29918, 5182, 29913, 13, 4706, 343, 10467, 353, 11117, 29880, 2396, 2175, 29918, 29891, 1450, 29892, 525, 29878, 2396, 1492, 29918, 29891, 1450, 29913, 13, 4706, 13714, 29918, 24530, 353, 29871, 29900, 13, 4706, 12379, 29918, 2674, 29918, 1066, 353, 7442, 29889, 3298, 359, 29898, 29941, 29897, 13, 4706, 318, 353, 7442, 29889, 3298, 359, 29898, 1311, 29889, 3601, 29918, 6272, 29889, 2467, 29918, 3493, 29889, 12181, 29897, 13, 4706, 12379, 29918, 3127, 29918, 29880, 353, 7442, 29889, 3298, 359, 29898, 29955, 29897, 13, 4706, 12379, 29918, 3127, 29918, 29878, 353, 7442, 29889, 3298, 359, 29898, 29955, 29897, 13, 4706, 4236, 29918, 1066, 29918, 3127, 353, 448, 9302, 29889, 7192, 13, 13, 4706, 363, 474, 297, 3464, 29898, 3317, 29918, 24530, 1125, 13, 13, 9651, 25274, 29918, 5064, 29918, 1066, 353, 7442, 29889, 3298, 359, 29898, 29941, 29897, 13, 9651, 4236, 29918, 5450, 29918, 3127, 353, 448, 9302, 29889, 7192, 13, 9651, 4236, 29918, 1066, 29918, 3127, 353, 448, 9302, 29889, 7192, 13, 13, 9651, 270, 29918, 27215, 29918, 2371, 353, 1583, 29889, 657, 29918, 3318, 29918, 1066, 580, 29961, 29906, 29962, 448, 1583, 29889, 3601, 29918, 6272, 3032, 3318, 29918, 29920, 29918, 10289, 13, 9651, 867, 29886, 29918, 29916, 5450, 353, 29871, 29900, 29889, 29929, 718, 270, 29918, 27215, 29918, 2371, 334, 29871, 29906, 29889, 29900, 13, 13, 9651, 363, 5075, 29918, 29875, 29892, 5075, 297, 26985, 29898, 877, 29880, 742, 525, 29878, 8785, 29901, 13, 13, 18884, 16256, 29918, 4220, 353, 1583, 29889, 657, 29918, 29887, 374, 2496, 29918, 4220, 29898, 2817, 29897, 13, 18884, 16256, 29918, 29939, 353, 1583, 29889, 657, 29918, 2817, 29918, 2917, 29898, 2817, 29897, 13, 13, 18884, 565, 5075, 1275, 525, 29880, 2396, 13, 462, 1678, 15905, 353, 7442, 29889, 1631, 448, 867, 29886, 29918, 29916, 5450, 13, 462, 1678, 318, 29918, 13168, 287, 353, 318, 7503, 29955, 29962, 13, 462, 1678, 12379, 29918, 3127, 353, 12379, 29918, 3127, 29918, 29880, 13, 18884, 1683, 29901, 13, 462, 1678, 15905, 353, 7442, 29889, 1631, 448, 867, 29886, 29918, 29916, 5450, 13, 462, 1678, 318, 29918, 13168, 287, 353, 318, 29961, 29947, 29901, 29896, 29945, 29962, 13, 462, 1678, 12379, 29918, 3127, 353, 12379, 29918, 3127, 29918, 29878, 13, 13, 18884, 565, 1246, 519, 29898, 5182, 29879, 29918, 22925, 29918, 517, 1125, 13, 462, 1678, 3407, 353, 22525, 29918, 22925, 29918, 517, 580, 13, 462, 1678, 3646, 29918, 1066, 353, 15886, 29889, 7302, 29918, 13264, 29898, 5182, 29879, 29961, 2817, 1402, 3407, 29897, 7503, 29941, 29962, 13, 18884, 1683, 29901, 13, 462, 1678, 3646, 29918, 1066, 353, 22525, 29961, 2817, 29962, 13, 13, 18884, 3646, 29918, 4220, 353, 7442, 29889, 29878, 29918, 29961, 5182, 29918, 1066, 29892, 15886, 29889, 5450, 800, 29889, 29872, 8584, 29906, 339, 271, 29898, 9302, 29889, 29878, 29918, 29961, 29900, 1696, 29871, 29900, 1696, 343, 10467, 29961, 2817, 24960, 29962, 13, 18884, 3646, 29918, 4220, 353, 15886, 29889, 7302, 29918, 13264, 29898, 9302, 29889, 29878, 29918, 29961, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 15886, 29889, 5450, 800, 29889, 29872, 8584, 29906, 339, 271, 29898, 9302, 29889, 29878, 29918, 29961, 29886, 2335, 29892, 29871, 29900, 1696, 29871, 29900, 29889, 2314, 1402, 3646, 29918, 4220, 29897, 13, 13, 18884, 25274, 29918, 5064, 29918, 1066, 4619, 16256, 29918, 4220, 7503, 29941, 29962, 13, 18884, 4236, 29918, 1066, 29918, 3127, 353, 4236, 29898, 3317, 29918, 1066, 29918, 3127, 29892, 7442, 29889, 6897, 29898, 21962, 29918, 4220, 7503, 29941, 29962, 448, 3646, 29918, 4220, 7503, 29941, 14664, 3317, 3101, 13, 18884, 4236, 29918, 5450, 29918, 3127, 353, 4236, 29898, 3317, 29918, 5450, 29918, 3127, 29892, 15886, 29889, 339, 271, 29918, 2521, 29918, 12765, 29898, 21962, 29918, 4220, 29961, 29941, 29901, 1402, 3646, 29918, 4220, 29961, 29941, 29901, 12622, 13, 13, 18884, 3646, 29918, 29939, 353, 1583, 29889, 3601, 29918, 6272, 29889, 29885, 542, 481, 29918, 638, 29898, 5182, 29918, 4220, 448, 16256, 29918, 4220, 29892, 5075, 29897, 13, 18884, 318, 29918, 13168, 287, 7503, 29962, 353, 1583, 3032, 8299, 29898, 21962, 29918, 29939, 448, 3646, 29918, 29939, 29892, 12379, 29918, 3127, 29892, 413, 29897, 13, 13, 18884, 565, 1583, 29889, 29894, 15580, 338, 451, 6213, 322, 1583, 29889, 9482, 29918, 10590, 29901, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 5182, 29918, 1066, 29889, 8552, 3285, 1583, 29889, 29894, 15580, 29892, 3858, 29922, 29888, 29908, 29912, 2817, 2403, 29886, 613, 5412, 29918, 1643, 29922, 5574, 29897, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 5182, 29918, 4220, 29889, 8552, 3285, 1583, 29889, 29894, 15580, 29892, 3858, 29922, 29888, 29908, 29912, 2817, 2403, 29873, 613, 5412, 29918, 1643, 29922, 5574, 29897, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 21962, 29918, 4220, 29889, 8552, 3285, 1583, 29889, 29894, 15580, 29892, 3858, 29922, 29888, 29908, 29912, 2817, 17671, 5412, 29918, 1643, 29922, 5574, 29897, 13, 13, 9651, 25274, 29918, 5064, 29918, 1066, 847, 29922, 29871, 29906, 29889, 29900, 13, 13, 9651, 318, 29961, 29955, 29962, 353, 2175, 29918, 629, 29886, 29918, 2917, 13, 9651, 318, 29961, 29896, 29945, 29962, 353, 1492, 29918, 629, 29886, 29918, 2917, 13, 9651, 318, 353, 7442, 29889, 24049, 29898, 29884, 29892, 1583, 29889, 3601, 29918, 6272, 29889, 2467, 29918, 3493, 29889, 677, 29892, 1583, 29889, 3601, 29918, 6272, 29889, 2467, 29918, 3493, 29889, 9812, 29897, 13, 13, 9651, 1583, 29889, 3601, 29918, 6272, 3032, 842, 29918, 2467, 29898, 29884, 29897, 13, 9651, 1583, 29889, 3601, 29889, 10568, 580, 13, 9651, 1583, 29889, 3601, 29918, 6272, 3032, 10568, 29918, 14035, 580, 13, 13, 9651, 565, 1583, 29889, 29894, 15580, 338, 451, 6213, 29901, 13, 18884, 565, 1583, 29889, 9482, 29918, 10590, 29901, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 629, 4692, 29918, 5064, 29918, 1066, 29892, 1583, 29889, 29894, 15580, 29892, 3858, 543, 629, 4692, 29918, 5064, 613, 5412, 29918, 333, 29922, 29945, 29945, 29945, 29946, 29897, 13, 18884, 1583, 29889, 9482, 29898, 17462, 29918, 3502, 414, 29922, 5574, 29897, 13, 13, 9651, 565, 4236, 29918, 1066, 29918, 3127, 529, 926, 29918, 386, 12268, 322, 4236, 29918, 5450, 29918, 3127, 529, 5731, 29918, 386, 12268, 29901, 13, 18884, 2867, 13, 13, 9651, 565, 2302, 29918, 13844, 29918, 24530, 29901, 13, 18884, 5446, 29918, 1066, 353, 1583, 29889, 657, 29918, 3318, 29918, 1066, 580, 13, 18884, 1104, 29918, 1066, 353, 5446, 29918, 1066, 448, 25274, 29918, 5064, 29918, 1066, 13, 18884, 1603, 353, 12379, 29918, 2674, 29918, 1066, 338, 451, 6213, 322, 7442, 29889, 497, 29898, 9302, 29889, 6897, 29898, 2674, 29918, 1066, 448, 12379, 29918, 2674, 29918, 1066, 29897, 529, 29871, 29900, 29889, 29900, 29900, 29906, 29897, 13, 18884, 5446, 29918, 27215, 29918, 2371, 353, 7431, 29898, 1311, 29889, 3601, 29918, 6272, 29889, 657, 29918, 3318, 29918, 12346, 29918, 9748, 29898, 1228, 29918, 2587, 2433, 2371, 8785, 1275, 29871, 29900, 13, 18884, 565, 1603, 322, 5446, 29918, 27215, 29918, 2371, 29901, 13, 462, 1678, 13714, 29918, 24530, 4619, 29871, 29896, 13, 18884, 25342, 474, 1405, 29871, 29896, 29900, 29901, 13, 462, 1678, 2867, 13, 18884, 12379, 29918, 2674, 29918, 1066, 353, 1104, 29918, 1066, 13, 13, 4706, 565, 2302, 29918, 13844, 29918, 24530, 29901, 13, 9651, 736, 13714, 29918, 24530, 13, 13, 4706, 736, 4236, 29918, 1066, 29918, 3127, 13, 13, 1678, 822, 903, 11631, 29918, 279, 1516, 29918, 29885, 542, 481, 29898, 1311, 29892, 334, 29892, 2175, 29918, 5182, 29901, 7442, 29889, 299, 2378, 29892, 1492, 29918, 5182, 29901, 7442, 29889, 299, 2378, 29892, 2175, 29918, 29891, 1450, 29922, 29900, 29889, 29900, 29892, 1492, 29918, 29891, 1450, 29922, 29900, 29889, 29900, 29892, 13, 462, 308, 926, 29918, 386, 12268, 29922, 29900, 29889, 29900, 29906, 29892, 5731, 29918, 386, 12268, 29922, 29900, 29889, 29896, 29892, 413, 29922, 29896, 29889, 29900, 29892, 4236, 29918, 24530, 29922, 29896, 29892, 13, 462, 308, 2175, 29918, 629, 29886, 29918, 2917, 10457, 29896, 29889, 29900, 29892, 1492, 29918, 629, 29886, 29918, 2917, 10457, 29896, 29889, 29900, 1125, 13, 13, 4706, 22525, 353, 11117, 29880, 2396, 2175, 29918, 5182, 29892, 525, 29878, 2396, 1492, 29918, 5182, 29913, 13, 4706, 343, 10467, 353, 11117, 29880, 2396, 2175, 29918, 29891, 1450, 29892, 525, 29878, 2396, 1492, 29918, 29891, 1450, 29913, 13, 4706, 1583, 29889, 3601, 29889, 4299, 29889, 1837, 29918, 4925, 7503, 29962, 353, 29871, 29896, 13, 13, 4706, 363, 474, 297, 3464, 29898, 3317, 29918, 24530, 1125, 13, 13, 9651, 25274, 29918, 5064, 29918, 1066, 353, 7442, 29889, 3298, 359, 29898, 29941, 29897, 13, 9651, 4236, 29918, 5450, 29918, 3127, 353, 448, 9302, 29889, 7192, 13, 9651, 4236, 29918, 1066, 29918, 3127, 353, 448, 9302, 29889, 7192, 13, 13, 9651, 270, 29918, 27215, 29918, 2371, 353, 1583, 29889, 657, 29918, 3318, 29918, 1066, 580, 29961, 29906, 29962, 448, 1583, 29889, 3601, 29918, 6272, 3032, 3318, 29918, 29920, 29918, 10289, 13, 9651, 867, 29886, 29918, 29916, 5450, 353, 29871, 29900, 29889, 29929, 718, 270, 29918, 27215, 29918, 2371, 334, 29871, 29906, 29889, 29900, 13, 13, 9651, 286, 542, 481, 29918, 29874, 353, 7442, 29889, 3298, 359, 3552, 1311, 29889, 3601, 29889, 4299, 29889, 22882, 542, 481, 29892, 29871, 29955, 876, 13, 13, 9651, 363, 5075, 29918, 29875, 29892, 5075, 297, 26985, 29898, 877, 29880, 742, 525, 29878, 8785, 29901, 13, 13, 18884, 16256, 29918, 4220, 353, 1583, 29889, 657, 29918, 29887, 374, 2496, 29918, 4220, 29898, 2817, 29897, 13, 18884, 15905, 353, 7442, 29889, 1631, 448, 867, 29886, 29918, 29916, 5450, 13, 13, 18884, 3646, 29918, 1066, 353, 22525, 29961, 2817, 29962, 13, 18884, 3646, 29918, 4220, 353, 7442, 29889, 29878, 29918, 29961, 5182, 29918, 1066, 29892, 15886, 29889, 5450, 800, 29889, 29872, 8584, 29906, 339, 271, 29898, 9302, 29889, 29878, 29918, 29961, 29900, 1696, 29871, 29900, 1696, 343, 10467, 29961, 2817, 24960, 29962, 13, 18884, 3646, 29918, 4220, 353, 15886, 29889, 7302, 29918, 13264, 29898, 9302, 29889, 29878, 29918, 29961, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 15886, 29889, 5450, 800, 29889, 29872, 8584, 29906, 339, 271, 29898, 9302, 29889, 29878, 29918, 29961, 29886, 2335, 29892, 29871, 29900, 1696, 29871, 29900, 29889, 2314, 1402, 3646, 29918, 4220, 29897, 13, 13, 18884, 25274, 29918, 5064, 29918, 1066, 4619, 16256, 29918, 4220, 7503, 29941, 29962, 13, 18884, 565, 4236, 29918, 24530, 1405, 29871, 29896, 29901, 13, 462, 1678, 4236, 29918, 1066, 29918, 3127, 353, 4236, 29898, 3317, 29918, 1066, 29918, 3127, 29892, 7442, 29889, 6897, 29898, 21962, 29918, 4220, 7503, 29941, 29962, 448, 3646, 29918, 4220, 7503, 29941, 14664, 3317, 3101, 13, 462, 1678, 4236, 29918, 5450, 29918, 3127, 353, 4236, 29898, 3317, 29918, 5450, 29918, 3127, 29892, 15886, 29889, 339, 271, 29918, 2521, 29918, 12765, 29898, 21962, 29918, 4220, 29961, 29941, 29901, 1402, 3646, 29918, 4220, 29961, 29941, 29901, 12622, 13, 13, 18884, 286, 542, 481, 29918, 29874, 29961, 2817, 29918, 29875, 29962, 353, 3646, 29918, 4220, 448, 16256, 29918, 4220, 13, 13, 18884, 565, 1583, 29889, 29894, 15580, 338, 451, 6213, 322, 1583, 29889, 9482, 29918, 10590, 29901, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 5182, 29918, 1066, 29889, 8552, 3285, 1583, 29889, 29894, 15580, 29892, 3858, 29922, 29888, 29908, 29912, 2817, 2403, 29886, 613, 5412, 29918, 1643, 29922, 5574, 29897, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 5182, 29918, 4220, 29889, 8552, 3285, 1583, 29889, 29894, 15580, 29892, 3858, 29922, 29888, 29908, 29912, 2817, 2403, 29873, 613, 5412, 29918, 1643, 29922, 5574, 29897, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 21962, 29918, 4220, 29889, 8552, 3285, 1583, 29889, 29894, 15580, 29892, 3858, 29922, 29888, 29908, 29912, 2817, 17671, 5412, 29918, 1643, 29922, 5574, 29897, 13, 13, 9651, 25274, 29918, 5064, 29918, 1066, 847, 29922, 29871, 29906, 29889, 29900, 13, 13, 9651, 396, 731, 2295, 310, 330, 374, 22437, 13, 9651, 318, 353, 7442, 29889, 3298, 359, 29898, 1311, 29889, 3601, 29918, 6272, 29889, 2467, 29918, 3493, 29889, 12181, 29897, 13, 9651, 318, 29961, 29955, 29962, 353, 2175, 29918, 629, 29886, 29918, 2917, 13, 9651, 318, 29961, 29896, 29945, 29962, 353, 1492, 29918, 629, 29886, 29918, 2917, 13, 9651, 1583, 29889, 3601, 29918, 6272, 3032, 842, 29918, 2467, 29898, 29884, 29897, 13, 13, 9651, 396, 731, 18593, 310, 330, 374, 22437, 13, 9651, 903, 29885, 542, 481, 29918, 842, 29918, 2467, 29898, 1311, 29889, 3601, 29892, 286, 542, 481, 29918, 29874, 334, 413, 29897, 13, 13, 9651, 396, 2125, 17402, 4331, 13, 9651, 1583, 29889, 3601, 29889, 10568, 580, 13, 9651, 1583, 29889, 3601, 29918, 6272, 3032, 10568, 29918, 14035, 580, 13, 13, 9651, 565, 1583, 29889, 29894, 15580, 338, 451, 6213, 29901, 13, 18884, 565, 1583, 29889, 9482, 29918, 10590, 29901, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 629, 4692, 29918, 5064, 29918, 1066, 29892, 1583, 29889, 29894, 15580, 29892, 3858, 543, 629, 4692, 29918, 5064, 613, 5412, 29918, 333, 29922, 29945, 29945, 29945, 29946, 29897, 13, 18884, 1583, 29889, 9482, 29898, 17462, 29918, 3502, 414, 29922, 5574, 29897, 13, 13, 9651, 565, 4236, 29918, 1066, 29918, 3127, 529, 926, 29918, 386, 12268, 322, 4236, 29918, 5450, 29918, 3127, 529, 5731, 29918, 386, 12268, 29901, 13, 18884, 2867, 13, 2 ]
mev/api/tests/test_public_data_views.py	hsph-qbrc/mev-backend	0	86500	import unittest.mock as mock from urllib.parse import quote as param_encoder from django.urls import reverse from django.core.exceptions import ImproperlyConfigured from rest_framework import status from api.models import PublicDataset, Workspace, Resource from api.tests.base import BaseAPITestCase from api.tests import test_settings class PublicDataListTests(BaseAPITestCase): def setUp(self): self.url = reverse('public-dataset-list') self.establish_clients() self.all_public_datasets = PublicDataset.objects.all() if len(self.all_public_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) self.all_active_datasets = [x for x in self.all_public_datasets if x.active] if len(self.all_active_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) def test_list_requires_auth(self): """ Test that general requests to the endpoint generate 401 """ response = self.regular_client.get(self.url) self.assertTrue((response.status_code == status.HTTP_401_UNAUTHORIZED) \| (response.status_code == status.HTTP_403_FORBIDDEN)) response = self.authenticated_regular_client.get(self.url) self.assertTrue((response.status_code == status.HTTP_200_OK)) self.assertTrue(len(response.json()) == len(self.all_active_datasets)) class PublicDataDetailsTests(BaseAPITestCase): ''' Tests focused around the ability to query a specific public dataset. ''' def setUp(self): self.all_public_datasets = PublicDataset.objects.all() if len(self.all_public_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) self.all_active_datasets = [x for x in self.all_public_datasets if x.active] if len(self.all_active_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) # grab the first active dataset to use in the tests below self.test_active_dataset = self.all_active_datasets[0] self.url = reverse('public-dataset-details', kwargs={'dataset_id': self.test_active_dataset.index_name} ) self.establish_clients() def test_requires_auth(self): """ Test that general requests to the endpoint generate 401 """ response = self.regular_client.get(self.url) self.assertTrue((response.status_code == status.HTTP_401_UNAUTHORIZED) \| (response.status_code == status.HTTP_403_FORBIDDEN)) response = self.authenticated_regular_client.get(self.url) self.assertTrue((response.status_code == status.HTTP_200_OK)) def test_returns_expected_details(self): response = self.authenticated_regular_client.get(self.url) self.assertTrue((response.status_code == status.HTTP_200_OK)) response_json = response.json() self.assertTrue(response_json['index_name'] == self.test_active_dataset.index_name) print(response_json) def test_inactive_instance_returns_404(self): ''' If the details are requested on an inactive dataset, return a 404 ''' # check that we have an inactive dataset first: dataset_tag = 'public-baz' pd = PublicDataset.objects.get(index_name = dataset_tag) self.assertFalse(pd.active) url = reverse('public-dataset-details', kwargs={'dataset_id': dataset_tag} ) response = self.authenticated_regular_client.get(url) self.assertTrue((response.status_code == status.HTTP_404_NOT_FOUND)) class PublicDataQueryTests(BaseAPITestCase): ''' Tests focused around the ability to query public datasets. ''' def setUp(self): self.all_public_datasets = PublicDataset.objects.all() if len(self.all_public_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) self.all_active_datasets = [x for x in self.all_public_datasets if x.active] if len(self.all_active_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) # grab the first active dataset to use in the tests below self.test_active_dataset = self.all_active_datasets[0] self.url = reverse('public-dataset-query', kwargs={'dataset_id': self.test_active_dataset.index_name} ) self.establish_clients() @mock.patch('api.views.public_dataset.query_dataset') def test_call_format(self, mock_query_dataset): ''' Test that the proper request is made ''' query_str = 'q=:&facet.field=foo&facet=on' encoded_str = 'q=%2A%3A%2A&facet.field=foo&facet=on' url = self.url + '?' + query_str mock_response_json = {'a':1, 'b':2} mock_query_dataset.return_value = mock_response_json response = self.authenticated_admin_client.get(url) mock_query_dataset.assert_called_with(self.test_active_dataset.index_name, encoded_str) class PublicDataCreateTests(BaseAPITestCase): ''' Tests focused around the ability to create public datasets. ''' def setUp(self): self.establish_clients() self.all_public_datasets = PublicDataset.objects.all() if len(self.all_public_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) self.all_active_datasets = [x for x in self.all_public_datasets if x.active] if len(self.all_active_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) # grab the first active dataset to use in the tests below self.test_active_dataset = self.all_active_datasets[0] self.url = reverse('public-dataset-create', kwargs={'dataset_id': self.test_active_dataset.index_name} ) def test_requires_auth(self): """ Test that general requests to the endpoint generate 401 """ response = self.regular_client.post(self.url) self.assertTrue((response.status_code == status.HTTP_401_UNAUTHORIZED) \| (response.status_code == status.HTTP_403_FORBIDDEN)) @mock.patch('api.views.public_dataset.create_dataset_from_params') def test_error_to_add_resource_reported(self, mock_create_dataset_from_params): ''' If something goes wrong in the api.views.public_dataset.create_dataset_from_params function, we return a 400 and report it. ''' # this is the payload we want passed to the function. # the full request will have this AND the workspace payload = {'samples': [1,2,3]} # mock the failure: mock_create_dataset_from_params.side_effect = Exception('something bad!') response = self.authenticated_regular_client.post( self.url, data=payload, format='json') self.assertTrue(response.status_code == status.HTTP_400_BAD_REQUEST) @mock.patch('api.views.public_dataset.create_dataset_from_params') def test_missing_filter_creates_null_filter(self, mock_create_dataset_from_params): ''' Assume that the request payload was valid so that the api.views.public_dataset.create_dataset_from_params function returns an api.models.Resource instance. Here, test that we add that resource to the workspace and return a 201 ''' payload = {} # this is the new resource that is mock-created new_resource = Resource.objects.create( owner = self.regular_user_1, path = '/some/dummy_path/file.tsv', name = 'foo.tsv' ) mock_create_dataset_from_params.return_value = [new_resource,] # finally, call the endpoint response = self.authenticated_regular_client.post( self.url, data=payload, format='json') self.assertTrue(response.status_code == status.HTTP_201_CREATED) mock_create_dataset_from_params.assert_called_with( self.test_active_dataset.index_name, self.regular_user_1, None, '' ) j = response.json() self.assertTrue(j[0]['name'] == 'foo.tsv') @mock.patch('api.views.public_dataset.create_dataset_from_params') def test_adds_new_resource_to_workspace_case1(self, mock_create_dataset_from_params): ''' Assume that the request payload was valid so that the api.views.public_dataset.create_dataset_from_params function returns a list of api.models.Resource instances. Here, test that we add that resource to the workspace and return a 201. No output name for the dataset is provided ''' # this is the payload we want passed to the function. # the full request will have this AND the workspace payload = {'filters': {'a':1}} # below, we check that the workspace key gets stripped # from the call to the creation method new_resource = Resource.objects.create( owner = self.regular_user_1, path = '/some/dummy_path/file.tsv', name = 'foo.tsv' ) mock_create_dataset_from_params.return_value = [new_resource,] # finally, call the endpoint response = self.authenticated_regular_client.post( self.url, data=payload, format='json') self.assertTrue(response.status_code == status.HTTP_201_CREATED) # below, we check that the workspace key gets stripped # from the call to the creation method mock_create_dataset_from_params.assert_called_with( self.test_active_dataset.index_name, self.regular_user_1, payload['filters'], '' ) j = response.json() # j is a list of resource instances. We expect only one: self.assertTrue(j[0]['name'] == 'foo.tsv') @mock.patch('api.views.public_dataset.create_dataset_from_params') def test_adds_new_resource_to_workspace_case2(self, mock_create_dataset_from_params): ''' Assume that the request payload was valid so that the api.views.public_dataset.create_dataset_from_params function returns a list of api.models.Resource instances. Here, test that we add that resource to the workspace and return a 201. Here, we pass a name for the dataset ''' # this is the payload we want passed to the function. # the full request will have this AND the workspace output_name = 'foo' payload = {'filters': {'a':1}, 'output_name': output_name} # below, we check that the workspace key gets stripped # from the call to the creation method new_resource = Resource.objects.create( owner = self.regular_user_1, path = '/some/dummy_path/file.tsv', name = 'foo.tsv' ) mock_create_dataset_from_params.return_value = [new_resource,] # finally, call the endpoint response = self.authenticated_regular_client.post( self.url, data=payload, format='json') self.assertTrue(response.status_code == status.HTTP_201_CREATED) # below, we check that the workspace key gets stripped # from the call to the creation method mock_create_dataset_from_params.assert_called_with( self.test_active_dataset.index_name, self.regular_user_1, payload['filters'], output_name ) j = response.json() # j is a list of resource instances. We expect only one: self.assertTrue(j[0]['name'] == 'foo.tsv') @mock.patch('api.views.public_dataset.create_dataset_from_params') def test_rejects_malformatted_filter(self, mock_create_dataset_from_params): ''' Test that if a 'filter' key is provided and it is not parsed as a dict, then we reject ''' payload = { 'filters': 'abc' } response = self.authenticated_regular_client.post( self.url, data=payload, format='json') self.assertTrue(response.status_code == status.HTTP_400_BAD_REQUEST)	[ 1, 1053, 443, 27958, 29889, 17640, 408, 11187, 13, 3166, 3142, 1982, 29889, 5510, 1053, 14978, 408, 1828, 29918, 3977, 6119, 13, 3166, 9557, 29889, 26045, 1053, 11837, 13, 3166, 9557, 29889, 3221, 29889, 11739, 29879, 1053, 1954, 771, 546, 368, 3991, 2955, 13, 3166, 1791, 29918, 4468, 1053, 4660, 13, 13, 3166, 7882, 29889, 9794, 1053, 5236, 16390, 24541, 29892, 5244, 3493, 29892, 18981, 13, 3166, 7882, 29889, 21150, 29889, 3188, 1053, 7399, 3301, 1806, 342, 8259, 13, 3166, 7882, 29889, 21150, 1053, 1243, 29918, 11027, 13, 13, 13, 1990, 5236, 1469, 1293, 24376, 29898, 5160, 3301, 1806, 342, 8259, 1125, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 29889, 2271, 353, 11837, 877, 3597, 29899, 24713, 29899, 1761, 1495, 13, 4706, 1583, 29889, 342, 370, 1674, 29918, 11303, 1237, 580, 13, 4706, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 353, 5236, 16390, 24541, 29889, 12650, 29889, 497, 580, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 3597, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 353, 518, 29916, 363, 921, 297, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 565, 921, 29889, 4925, 29962, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 13, 1678, 822, 1243, 29918, 1761, 29918, 276, 339, 2658, 29918, 5150, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 4321, 393, 2498, 7274, 304, 278, 16248, 5706, 29871, 29946, 29900, 29896, 13, 4706, 9995, 13, 4706, 2933, 353, 1583, 29889, 15227, 29918, 4645, 29889, 657, 29898, 1311, 29889, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29896, 29918, 29965, 3521, 2692, 29950, 1955, 26664, 3352, 29897, 29871, 13, 4706, 891, 313, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29941, 29918, 22051, 29933, 1367, 29928, 1430, 876, 13, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 657, 29898, 1311, 29889, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29906, 29900, 29900, 29918, 8949, 876, 13, 4706, 1583, 29889, 9294, 5574, 29898, 2435, 29898, 5327, 29889, 3126, 3101, 1275, 7431, 29898, 1311, 29889, 497, 29918, 4925, 29918, 14538, 1691, 876, 13, 13, 13, 1990, 5236, 1469, 10602, 24376, 29898, 5160, 3301, 1806, 342, 8259, 1125, 13, 1678, 14550, 13, 1678, 4321, 29879, 21309, 2820, 278, 11509, 304, 2346, 263, 2702, 970, 8783, 29889, 13, 1678, 14550, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 353, 5236, 16390, 24541, 29889, 12650, 29889, 497, 580, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 3597, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 353, 518, 29916, 363, 921, 297, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 565, 921, 29889, 4925, 29962, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 396, 17229, 278, 937, 6136, 8783, 304, 671, 297, 278, 6987, 2400, 13, 4706, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 353, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29961, 29900, 29962, 13, 4706, 1583, 29889, 2271, 353, 11837, 877, 3597, 29899, 24713, 29899, 14144, 742, 29871, 13, 9651, 9049, 5085, 3790, 29915, 24713, 29918, 333, 2396, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29913, 13, 4706, 1723, 13, 4706, 1583, 29889, 342, 370, 1674, 29918, 11303, 1237, 580, 13, 13, 1678, 822, 1243, 29918, 276, 339, 2658, 29918, 5150, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 4321, 393, 2498, 7274, 304, 278, 16248, 5706, 29871, 29946, 29900, 29896, 13, 4706, 9995, 13, 4706, 2933, 353, 1583, 29889, 15227, 29918, 4645, 29889, 657, 29898, 1311, 29889, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29896, 29918, 29965, 3521, 2692, 29950, 1955, 26664, 3352, 29897, 29871, 13, 4706, 891, 313, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29941, 29918, 22051, 29933, 1367, 29928, 1430, 876, 13, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 657, 29898, 1311, 29889, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29906, 29900, 29900, 29918, 8949, 876, 13, 13, 1678, 822, 1243, 29918, 18280, 29918, 9684, 29918, 14144, 29898, 1311, 1125, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 657, 29898, 1311, 29889, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29906, 29900, 29900, 29918, 8949, 876, 13, 4706, 2933, 29918, 3126, 353, 2933, 29889, 3126, 580, 13, 4706, 1583, 29889, 9294, 5574, 29898, 5327, 29918, 3126, 1839, 2248, 29918, 978, 2033, 1275, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29897, 13, 4706, 1596, 29898, 5327, 29918, 3126, 29897, 13, 13, 1678, 822, 1243, 29918, 262, 4925, 29918, 8758, 29918, 18280, 29918, 29946, 29900, 29946, 29898, 1311, 1125, 13, 4706, 14550, 13, 4706, 960, 278, 4902, 526, 13877, 373, 385, 297, 4925, 8783, 29892, 736, 263, 29871, 29946, 29900, 29946, 13, 4706, 14550, 13, 4706, 396, 1423, 393, 591, 505, 385, 297, 4925, 8783, 937, 29901, 13, 4706, 8783, 29918, 4039, 353, 525, 3597, 29899, 27975, 29915, 13, 4706, 10518, 353, 5236, 16390, 24541, 29889, 12650, 29889, 657, 29898, 2248, 29918, 978, 353, 8783, 29918, 4039, 29897, 13, 4706, 1583, 29889, 9294, 8824, 29898, 15926, 29889, 4925, 29897, 13, 4706, 3142, 353, 11837, 877, 3597, 29899, 24713, 29899, 14144, 742, 29871, 13, 9651, 9049, 5085, 3790, 29915, 24713, 29918, 333, 2396, 8783, 29918, 4039, 29913, 13, 4706, 1723, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 657, 29898, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29946, 29918, 12256, 29918, 5800, 18783, 876, 13, 13, 1990, 5236, 1469, 3010, 24376, 29898, 5160, 3301, 1806, 342, 8259, 1125, 13, 1678, 14550, 13, 1678, 4321, 29879, 21309, 2820, 278, 11509, 304, 2346, 970, 20035, 29889, 13, 1678, 14550, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 353, 5236, 16390, 24541, 29889, 12650, 29889, 497, 580, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 3597, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 353, 518, 29916, 363, 921, 297, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 565, 921, 29889, 4925, 29962, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 396, 17229, 278, 937, 6136, 8783, 304, 671, 297, 278, 6987, 2400, 13, 4706, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 353, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29961, 29900, 29962, 13, 4706, 1583, 29889, 2271, 353, 11837, 877, 3597, 29899, 24713, 29899, 1972, 742, 29871, 13, 9651, 9049, 5085, 3790, 29915, 24713, 29918, 333, 2396, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29913, 13, 4706, 1723, 13, 4706, 1583, 29889, 342, 370, 1674, 29918, 11303, 1237, 580, 13, 13, 1678, 732, 17640, 29889, 5041, 877, 2754, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 1972, 29918, 24713, 1495, 13, 1678, 822, 1243, 29918, 4804, 29918, 4830, 29898, 1311, 29892, 11187, 29918, 1972, 29918, 24713, 1125, 13, 4706, 14550, 13, 4706, 4321, 393, 278, 1571, 2009, 338, 1754, 29871, 13, 4706, 14550, 13, 4706, 2346, 29918, 710, 353, 525, 29939, 29922, 29930, 29901, 29930, 29987, 17470, 300, 29889, 2671, 29922, 5431, 29987, 17470, 300, 29922, 265, 29915, 13, 4706, 18511, 29918, 710, 353, 525, 29939, 16328, 29906, 29909, 29995, 29941, 29909, 29995, 29906, 29909, 29987, 17470, 300, 29889, 2671, 29922, 5431, 29987, 17470, 300, 29922, 265, 29915, 13, 4706, 3142, 353, 1583, 29889, 2271, 718, 525, 17901, 718, 2346, 29918, 710, 13, 4706, 11187, 29918, 5327, 29918, 3126, 353, 11117, 29874, 2396, 29896, 29892, 525, 29890, 2396, 29906, 29913, 13, 4706, 11187, 29918, 1972, 29918, 24713, 29889, 2457, 29918, 1767, 353, 11187, 29918, 5327, 29918, 3126, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 6406, 29918, 4645, 29889, 657, 29898, 2271, 29897, 13, 4706, 11187, 29918, 1972, 29918, 24713, 29889, 9294, 29918, 13998, 29918, 2541, 29898, 1311, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29892, 18511, 29918, 710, 29897, 13, 13, 13, 1990, 5236, 1469, 4391, 24376, 29898, 5160, 3301, 1806, 342, 8259, 1125, 13, 1678, 14550, 13, 1678, 4321, 29879, 21309, 2820, 278, 11509, 304, 1653, 970, 20035, 29889, 13, 1678, 14550, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 13, 4706, 1583, 29889, 342, 370, 1674, 29918, 11303, 1237, 580, 13, 13, 4706, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 353, 5236, 16390, 24541, 29889, 12650, 29889, 497, 580, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 3597, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 353, 518, 29916, 363, 921, 297, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 565, 921, 29889, 4925, 29962, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 396, 17229, 278, 937, 6136, 8783, 304, 671, 297, 278, 6987, 2400, 13, 4706, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 353, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29961, 29900, 29962, 13, 4706, 1583, 29889, 2271, 353, 11837, 877, 3597, 29899, 24713, 29899, 3258, 742, 29871, 13, 9651, 9049, 5085, 3790, 29915, 24713, 29918, 333, 2396, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29913, 13, 4706, 1723, 13, 13, 13, 1678, 822, 1243, 29918, 276, 339, 2658, 29918, 5150, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 4321, 393, 2498, 7274, 304, 278, 16248, 5706, 29871, 29946, 29900, 29896, 13, 4706, 9995, 13, 4706, 2933, 353, 1583, 29889, 15227, 29918, 4645, 29889, 2490, 29898, 1311, 29889, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29896, 29918, 29965, 3521, 2692, 29950, 1955, 26664, 3352, 29897, 29871, 13, 4706, 891, 313, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29941, 29918, 22051, 29933, 1367, 29928, 1430, 876, 13, 13, 13, 1678, 732, 17640, 29889, 5041, 877, 2754, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1495, 13, 1678, 822, 1243, 29918, 2704, 29918, 517, 29918, 1202, 29918, 10314, 29918, 12276, 287, 29898, 1311, 29892, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1125, 13, 4706, 14550, 13, 4706, 960, 1554, 5771, 2743, 297, 278, 29871, 13, 4706, 7882, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 740, 29892, 13, 4706, 591, 736, 263, 29871, 29946, 29900, 29900, 322, 3461, 372, 29889, 13, 4706, 14550, 13, 4706, 396, 445, 338, 278, 20092, 591, 864, 4502, 304, 278, 740, 29889, 13, 4706, 396, 278, 2989, 2009, 674, 505, 445, 5300, 278, 664, 3493, 13, 4706, 20092, 353, 11117, 27736, 2396, 518, 29896, 29892, 29906, 29892, 29941, 12258, 13, 13, 4706, 396, 11187, 278, 10672, 29901, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 2975, 29918, 15987, 353, 8960, 877, 14481, 4319, 29991, 1495, 13, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 2490, 29898, 13, 9651, 1583, 29889, 2271, 29892, 848, 29922, 23813, 29892, 3402, 2433, 3126, 1495, 13, 4706, 1583, 29889, 9294, 5574, 29898, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29900, 29918, 29933, 3035, 29918, 16244, 29897, 13, 13, 1678, 732, 17640, 29889, 5041, 877, 2754, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1495, 13, 1678, 822, 1243, 29918, 27259, 29918, 4572, 29918, 1037, 1078, 29918, 4304, 29918, 4572, 29898, 1311, 29892, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1125, 13, 4706, 14550, 13, 4706, 22680, 393, 278, 2009, 20092, 471, 2854, 577, 393, 278, 29871, 13, 4706, 7882, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 740, 13, 4706, 3639, 385, 7882, 29889, 9794, 29889, 6848, 2777, 29889, 29871, 13, 13, 4706, 2266, 29892, 1243, 393, 591, 788, 393, 6503, 304, 278, 664, 3493, 322, 736, 263, 29871, 29906, 29900, 29896, 13, 4706, 14550, 13, 4706, 20092, 353, 6571, 13, 13, 4706, 396, 445, 338, 278, 716, 6503, 393, 338, 11187, 29899, 11600, 13, 4706, 716, 29918, 10314, 353, 18981, 29889, 12650, 29889, 3258, 29898, 13, 9651, 12271, 353, 1583, 29889, 15227, 29918, 1792, 29918, 29896, 29892, 13, 9651, 2224, 353, 8207, 5372, 29914, 29881, 11770, 29918, 2084, 29914, 1445, 29889, 1372, 29894, 742, 13, 9651, 1024, 353, 525, 5431, 29889, 1372, 29894, 29915, 13, 4706, 1723, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 2457, 29918, 1767, 353, 518, 1482, 29918, 10314, 26073, 13, 13, 4706, 396, 7146, 29892, 1246, 278, 16248, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 2490, 29898, 13, 9651, 1583, 29889, 2271, 29892, 848, 29922, 23813, 29892, 3402, 2433, 3126, 1495, 13, 4706, 1583, 29889, 9294, 5574, 29898, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29906, 29900, 29896, 29918, 27045, 29928, 29897, 13, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 9294, 29918, 13998, 29918, 2541, 29898, 13, 9651, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29892, 13, 9651, 1583, 29889, 15227, 29918, 1792, 29918, 29896, 29892, 13, 9651, 6213, 29892, 29871, 13, 9651, 6629, 13, 4706, 1723, 13, 4706, 432, 353, 2933, 29889, 3126, 580, 13, 4706, 1583, 29889, 9294, 5574, 29898, 29926, 29961, 29900, 22322, 978, 2033, 1275, 525, 5431, 29889, 1372, 29894, 1495, 13, 13, 1678, 732, 17640, 29889, 5041, 877, 2754, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1495, 13, 1678, 822, 1243, 29918, 1202, 29879, 29918, 1482, 29918, 10314, 29918, 517, 29918, 1287, 3493, 29918, 4878, 29896, 29898, 1311, 29892, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1125, 13, 4706, 14550, 13, 4706, 22680, 393, 278, 2009, 20092, 471, 2854, 577, 393, 278, 29871, 13, 4706, 7882, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 740, 13, 4706, 3639, 263, 1051, 310, 7882, 29889, 9794, 29889, 6848, 8871, 29889, 29871, 13, 13, 4706, 2266, 29892, 1243, 393, 591, 788, 393, 6503, 304, 278, 664, 3493, 322, 736, 263, 29871, 29906, 29900, 29896, 29889, 13, 4706, 1939, 1962, 1024, 363, 278, 8783, 338, 4944, 13, 4706, 14550, 13, 4706, 396, 445, 338, 278, 20092, 591, 864, 4502, 304, 278, 740, 29889, 13, 4706, 396, 278, 2989, 2009, 674, 505, 445, 5300, 278, 664, 3493, 13, 4706, 20092, 353, 11117, 26705, 2396, 11117, 29874, 2396, 29896, 930, 13, 13, 4706, 396, 2400, 29892, 591, 1423, 393, 278, 664, 3493, 1820, 4947, 10076, 2986, 13, 4706, 396, 515, 278, 1246, 304, 278, 11265, 1158, 13, 4706, 716, 29918, 10314, 353, 18981, 29889, 12650, 29889, 3258, 29898, 13, 9651, 12271, 353, 1583, 29889, 15227, 29918, 1792, 29918, 29896, 29892, 13, 9651, 2224, 353, 8207, 5372, 29914, 29881, 11770, 29918, 2084, 29914, 1445, 29889, 1372, 29894, 742, 13, 9651, 1024, 353, 525, 5431, 29889, 1372, 29894, 29915, 13, 4706, 1723, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 2457, 29918, 1767, 353, 518, 1482, 29918, 10314, 26073, 13, 13, 4706, 396, 7146, 29892, 1246, 278, 16248, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 2490, 29898, 13, 9651, 1583, 29889, 2271, 29892, 848, 29922, 23813, 29892, 3402, 2433, 3126, 1495, 13, 4706, 1583, 29889, 9294, 5574, 29898, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29906, 29900, 29896, 29918, 27045, 29928, 29897, 13, 13, 4706, 396, 2400, 29892, 591, 1423, 393, 278, 664, 3493, 1820, 4947, 10076, 2986, 13, 4706, 396, 515, 278, 1246, 304, 278, 11265, 1158, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 9294, 29918, 13998, 29918, 2541, 29898, 13, 9651, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29892, 13, 9651, 1583, 29889, 15227, 29918, 1792, 29918, 29896, 29892, 13, 9651, 20092, 1839, 26705, 7464, 13, 9651, 6629, 13, 4706, 1723, 13, 13, 4706, 432, 353, 2933, 29889, 3126, 580, 13, 4706, 396, 432, 338, 263, 1051, 310, 6503, 8871, 29889, 1334, 2149, 871, 697, 29901, 13, 4706, 1583, 29889, 9294, 5574, 29898, 29926, 29961, 29900, 22322, 978, 2033, 1275, 525, 5431, 29889, 1372, 29894, 1495, 13, 13, 13, 1678, 732, 17640, 29889, 5041, 877, 2754, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1495, 13, 1678, 822, 1243, 29918, 1202, 29879, 29918, 1482, 29918, 10314, 29918, 517, 29918, 1287, 3493, 29918, 4878, 29906, 29898, 1311, 29892, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1125, 13, 4706, 14550, 13, 4706, 22680, 393, 278, 2009, 20092, 471, 2854, 577, 393, 278, 29871, 13, 4706, 7882, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 740, 13, 4706, 3639, 263, 1051, 310, 7882, 29889, 9794, 29889, 6848, 8871, 29889, 29871, 13, 13, 4706, 2266, 29892, 1243, 393, 591, 788, 393, 6503, 304, 278, 664, 3493, 322, 736, 263, 29871, 29906, 29900, 29896, 29889, 13, 4706, 2266, 29892, 591, 1209, 263, 1024, 363, 278, 8783, 13, 4706, 14550, 13, 4706, 396, 445, 338, 278, 20092, 591, 864, 4502, 304, 278, 740, 29889, 13, 4706, 396, 278, 2989, 2009, 674, 505, 445, 5300, 278, 664, 3493, 13, 4706, 1962, 29918, 978, 353, 525, 5431, 29915, 13, 4706, 20092, 353, 11117, 26705, 2396, 11117, 29874, 2396, 29896, 1118, 525, 4905, 29918, 978, 2396, 1962, 29918, 978, 29913, 13, 13, 4706, 396, 2400, 29892, 591, 1423, 393, 278, 664, 3493, 1820, 4947, 10076, 2986, 13, 4706, 396, 515, 278, 1246, 304, 278, 11265, 1158, 13, 4706, 716, 29918, 10314, 353, 18981, 29889, 12650, 29889, 3258, 29898, 13, 9651, 12271, 353, 1583, 29889, 15227, 29918, 1792, 29918, 29896, 29892, 13, 9651, 2224, 353, 8207, 5372, 29914, 29881, 11770, 29918, 2084, 29914, 1445, 29889, 1372, 29894, 742, 13, 9651, 1024, 353, 525, 5431, 29889, 1372, 29894, 29915, 13, 4706, 1723, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 2457, 29918, 1767, 353, 518, 1482, 29918, 10314, 26073, 13, 13, 4706, 396, 7146, 29892, 1246, 278, 16248, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 2490, 29898, 13, 9651, 1583, 29889, 2271, 29892, 848, 29922, 23813, 29892, 3402, 2433, 3126, 1495, 13, 4706, 1583, 29889, 9294, 5574, 29898, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29906, 29900, 29896, 29918, 27045, 29928, 29897, 13, 13, 4706, 396, 2400, 29892, 591, 1423, 393, 278, 664, 3493, 1820, 4947, 10076, 2986, 13, 4706, 396, 515, 278, 1246, 304, 278, 11265, 1158, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 9294, 29918, 13998, 29918, 2541, 29898, 13, 9651, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29892, 13, 9651, 1583, 29889, 15227, 29918, 1792, 29918, 29896, 29892, 13, 9651, 20092, 1839, 26705, 7464, 13, 9651, 1962, 29918, 978, 13, 4706, 1723, 13, 13, 4706, 432, 353, 2933, 29889, 3126, 580, 13, 4706, 396, 432, 338, 263, 1051, 310, 6503, 8871, 29889, 1334, 2149, 871, 697, 29901, 13, 4706, 1583, 29889, 9294, 5574, 29898, 29926, 29961, 29900, 22322, 978, 2033, 1275, 525, 5431, 29889, 1372, 29894, 1495, 13, 13, 13, 1678, 732, 17640, 29889, 5041, 877, 2754, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1495, 13, 1678, 822, 1243, 29918, 276, 622, 29879, 29918, 5156, 689, 19667, 29918, 4572, 29898, 1311, 29892, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1125, 13, 4706, 14550, 13, 4706, 4321, 393, 565, 263, 525, 4572, 29915, 1820, 338, 4944, 322, 372, 338, 451, 21213, 29871, 13, 4706, 408, 263, 9657, 29892, 769, 591, 12560, 13, 4706, 14550, 13, 4706, 20092, 353, 426, 13, 9651, 525, 26705, 2396, 525, 10736, 29915, 13, 4706, 500, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 2490, 29898, 13, 9651, 1583, 29889, 2271, 29892, 848, 29922, 23813, 29892, 3402, 2433, 3126, 1495, 13, 4706, 1583, 29889, 9294, 5574, 29898, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29900, 29918, 29933, 3035, 29918, 16244, 29897, 13, 2 ]
feedbacks/migrations/0001_initial.py	caputomarcos/pythondotorg	1	166092	<gh_stars>1-10 # -- coding: utf-8 -- from __future__ import unicode_literals from django.db import models, migrations import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ] operations = [ migrations.CreateModel( name='Feedback', fields=[ ('id', models.AutoField(primary_key=True, auto_created=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200, blank=True, null=True)), ('email', models.EmailField(max_length=75, blank=True, null=True)), ('country', models.CharField(max_length=100, blank=True, null=True)), ('referral_url', models.URLField(blank=True, null=True)), ('is_beta_tester', models.BooleanField(default=False)), ('comment', models.TextField()), ('created', models.DateTimeField(default=django.utils.timezone.now, blank=True)), ], options={ 'verbose_name': 'feedback', 'verbose_name_plural': 'feedbacks', 'ordering': ['created'], }, bases=(models.Model,), ), migrations.CreateModel( name='FeedbackCategory', fields=[ ('id', models.AutoField(primary_key=True, auto_created=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('slug', models.SlugField(unique=True)), ], options={ 'verbose_name': 'feedback category', 'verbose_name_plural': 'feedback categories', }, bases=(models.Model,), ), migrations.CreateModel( name='IssueType', fields=[ ('id', models.AutoField(primary_key=True, auto_created=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('slug', models.SlugField(unique=True)), ], options={ 'verbose_name': 'issue type', 'verbose_name_plural': 'issue types', }, bases=(models.Model,), ), migrations.AddField( model_name='feedback', name='feedback_categories', field=models.ManyToManyField(null=True, to='feedbacks.FeedbackCategory', related_name='feedbacks', blank=True), preserve_default=True, ), migrations.AddField( model_name='feedback', name='issue_type', field=models.ForeignKey(null=True, to='feedbacks.IssueType', related_name='feedbacks', blank=True), preserve_default=True, ), ]	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 3166, 9557, 29889, 2585, 1053, 4733, 29892, 9725, 800, 13, 5215, 9557, 29889, 13239, 29889, 2230, 8028, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 4391, 3195, 29898, 13, 9651, 1024, 2433, 29737, 1627, 742, 13, 9651, 4235, 11759, 13, 18884, 6702, 333, 742, 4733, 29889, 12300, 3073, 29898, 16072, 29918, 1989, 29922, 5574, 29892, 4469, 29918, 11600, 29922, 5574, 29892, 28755, 29922, 8824, 29892, 26952, 29918, 978, 2433, 1367, 1495, 511, 13, 18884, 6702, 978, 742, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29900, 29900, 29892, 9654, 29922, 5574, 29892, 1870, 29922, 5574, 8243, 13, 18884, 6702, 5269, 742, 4733, 29889, 9823, 3073, 29898, 3317, 29918, 2848, 29922, 29955, 29945, 29892, 9654, 29922, 5574, 29892, 1870, 29922, 5574, 8243, 13, 18884, 6702, 13509, 742, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29896, 29900, 29900, 29892, 9654, 29922, 5574, 29892, 1870, 29922, 5574, 8243, 13, 18884, 6702, 20275, 1705, 29918, 2271, 742, 4733, 29889, 4219, 3073, 29898, 19465, 29922, 5574, 29892, 1870, 29922, 5574, 8243, 13, 18884, 6702, 275, 29918, 3571, 29918, 1688, 261, 742, 4733, 29889, 18146, 3073, 29898, 4381, 29922, 8824, 8243, 13, 18884, 6702, 9342, 742, 4733, 29889, 15778, 25739, 13, 18884, 6702, 11600, 742, 4733, 29889, 11384, 3073, 29898, 4381, 29922, 14095, 29889, 13239, 29889, 2230, 8028, 29889, 3707, 29892, 9654, 29922, 5574, 8243, 13, 9651, 21251, 13, 9651, 3987, 3790, 13, 18884, 525, 369, 15828, 29918, 978, 2396, 525, 18798, 1627, 742, 13, 18884, 525, 369, 15828, 29918, 978, 29918, 572, 3631, 2396, 525, 18798, 1627, 29879, 742, 13, 18884, 525, 2098, 292, 2396, 6024, 11600, 7464, 13, 9651, 2981, 13, 9651, 22561, 7607, 9794, 29889, 3195, 29892, 511, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 4391, 3195, 29898, 13, 9651, 1024, 2433, 29737, 1627, 10900, 742, 13, 9651, 4235, 11759, 13, 18884, 6702, 333, 742, 4733, 29889, 12300, 3073, 29898, 16072, 29918, 1989, 29922, 5574, 29892, 4469, 29918, 11600, 29922, 5574, 29892, 28755, 29922, 8824, 29892, 26952, 29918, 978, 2433, 1367, 1495, 511, 13, 18884, 6702, 978, 742, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29900, 29900, 8243, 13, 18884, 6702, 29517, 742, 4733, 29889, 16973, 688, 3073, 29898, 13092, 29922, 5574, 8243, 13, 9651, 21251, 13, 9651, 3987, 3790, 13, 18884, 525, 369, 15828, 29918, 978, 2396, 525, 18798, 1627, 7663, 742, 13, 18884, 525, 369, 15828, 29918, 978, 29918, 572, 3631, 2396, 525, 18798, 1627, 13997, 742, 13, 9651, 2981, 13, 9651, 22561, 7607, 9794, 29889, 3195, 29892, 511, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 4391, 3195, 29898, 13, 9651, 1024, 2433, 29902, 893, 434, 1542, 742, 13, 9651, 4235, 11759, 13, 18884, 6702, 333, 742, 4733, 29889, 12300, 3073, 29898, 16072, 29918, 1989, 29922, 5574, 29892, 4469, 29918, 11600, 29922, 5574, 29892, 28755, 29922, 8824, 29892, 26952, 29918, 978, 2433, 1367, 1495, 511, 13, 18884, 6702, 978, 742, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29900, 29900, 8243, 13, 18884, 6702, 29517, 742, 4733, 29889, 16973, 688, 3073, 29898, 13092, 29922, 5574, 8243, 13, 9651, 21251, 13, 9651, 3987, 3790, 13, 18884, 525, 369, 15828, 29918, 978, 2396, 525, 15118, 1134, 742, 13, 18884, 525, 369, 15828, 29918, 978, 29918, 572, 3631, 2396, 525, 15118, 4072, 742, 13, 9651, 2981, 13, 9651, 22561, 7607, 9794, 29889, 3195, 29892, 511, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 18798, 1627, 742, 13, 9651, 1024, 2433, 18798, 1627, 29918, 20683, 742, 13, 9651, 1746, 29922, 9794, 29889, 14804, 1762, 14804, 3073, 29898, 4304, 29922, 5574, 29892, 304, 2433, 18798, 1627, 29879, 29889, 29737, 1627, 10900, 742, 4475, 29918, 978, 2433, 18798, 1627, 29879, 742, 9654, 29922, 5574, 511, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 18798, 1627, 742, 13, 9651, 1024, 2433, 15118, 29918, 1853, 742, 13, 9651, 1746, 29922, 9794, 29889, 27755, 2558, 29898, 4304, 29922, 5574, 29892, 304, 2433, 18798, 1627, 29879, 29889, 29902, 893, 434, 1542, 742, 4475, 29918, 978, 2433, 18798, 1627, 29879, 742, 9654, 29922, 5574, 511, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
CGATReport/warnings_directive.py	IanSudbery/sphinx-report	0	151076	<reponame>IanSudbery/sphinx-report<filename>CGATReport/warnings_directive.py # -- coding: utf-8 -- """ sphinx.ext.warnings ~~~~~~~~~~~~~~~~~~~ Collect all warnings :copyright: Copyright 2007-2009 by the <NAME>, see AUTHORS. :license: BSD, see LICENSE for details. """ import logging from docutils import nodes import shelve from sphinx.locale import _ from sphinx.environment import NoUri from sphinx.util.compat import Directive from docutils.parsers.rst.directives.admonitions import BaseAdmonition CGATREPORT_WARNINGS_CACHE = "cgatreport_warnings.cache" class cgatreportwarning_node(nodes.warning, nodes.Element): pass class cgatreportwarninglist(nodes.General, nodes.Element): pass class CGATReportWarning(BaseAdmonition): node_class = cgatreportwarning_node # accept error as an optional argument optional_arguments = 1 def run(self): r = BaseAdmonition.run(self) if len(self.arguments) > 0: warningclass = self.arguments[0] else: warningclass = "generic" env = self.state.document.settings.env if not hasattr(env, 'cgatreportwarning_all_cgatreportwarnings'): env.cgatreportwarning_all_cgatreportwarnings = [] error_cache = shelve.open(CGATREPORT_WARNINGS_CACHE) error_cache["{}:{:06}".format(env.docname, self.lineno)] = ( r[0].deepcopy(), warningclass) logging.warning("CGATReport-Warning: %s" % warningclass) return r class CGATReportWarningList(Directive): """ A list of all cgatreportwarning entries. """ has_content = False required_arguments = 0 optional_arguments = 0 final_argument_whitespace = False option_spec = {} def run(self): # Simply insert an empty cgatreportwarninglist node which will # be replaced later when process_cgatreportwarning_nodes is # called return [cgatreportwarninglist('')] def process_cgatreportwarning_nodes(app, doctree, fromdocname): if not app.config['cgatreport_show_warnings']: for node in doctree.traverse(cgatreportwarning_node): node.parent.remove(node) # Replace all cgatreportwarninglist nodes with a list of the # collected cgatreportwarnings. Augment each cgatreportwarning # with a backlink to the original location. env = app.builder.env error_cache = shelve.open(CGATREPORT_WARNINGS_CACHE) for node in doctree.traverse(cgatreportwarninglist): if not app.config['cgatreport_show_warnings']: node.replace_self([]) continue content = [] nwarnings = 0 para = nodes.paragraph() sorted_items = sorted(error_cache.items()) para += nodes.Text("There are {} warnings".format(len(sorted_items))) content.append(para) for key, value in sorted_items: docname, lineno = key.split(":") lineno = int(lineno) cgatreportwarning, warningclass = value para = nodes.paragraph() filename = env.doc2path(docname, base=None) nwarnings += 1 location_str = '%s:%d ' % (filename, lineno) try: description_str = warningclass except KeyError: description_str = "unknown" # Create a reference newnode = nodes.reference('', '') innernode = nodes.emphasis(_(location_str), _(location_str)) newnode['refdocname'] = docname try: newnode['refuri'] = app.builder.get_relative_uri( fromdocname, docname) except NoUri: # ignore if no URI can be determined, e.g. for LaTeX output pass newnode.append(innernode) para += newnode para += nodes.Text(description_str, description_str) para += nodes.Text("\n", "\n") # (Recursively) resolve references in the cgatreportwarning content env.resolve_references(cgatreportwarning, docname, app.builder) content.append(para) node.replace_self(content) def purge_cgatreportwarnings(app, env, docname): if not hasattr(env, 'cgatreportwarning_all_cgatreportwarnings'): return env.cgatreportwarning_all_cgatreportwarnings = \ [cgatreportwarning for cgatreportwarning in env.cgatreportwarning_all_cgatreportwarnings if cgatreportwarning['docname'] != docname] def visit_cgatreportwarning_node(self, node): self.visit_admonition(node) def depart_cgatreportwarning_node(self, node): self.depart_admonition(node) def setup(app): app.add_config_value('cgatreport_show_warnings', True, False) app.add_node(cgatreportwarninglist) app.add_node(cgatreportwarning_node, html=(visit_cgatreportwarning_node, depart_cgatreportwarning_node), latex=( visit_cgatreportwarning_node, depart_cgatreportwarning_node), text=(visit_cgatreportwarning_node, depart_cgatreportwarning_node)) app.add_directive('warning', CGATReportWarning) app.add_directive('warninglist', CGATReportWarningList) app.connect('doctree-resolved', process_cgatreportwarning_nodes) app.connect('env-purge-doc', purge_cgatreportwarnings) return {'parallel_read_safe': True}	[ 1, 529, 276, 1112, 420, 29958, 29902, 273, 29903, 566, 495, 29891, 29914, 29879, 561, 14668, 29899, 12276, 29966, 9507, 29958, 11135, 1299, 13020, 29914, 25442, 886, 29918, 11851, 573, 29889, 2272, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 15945, 29908, 13, 1678, 269, 561, 14668, 29889, 1062, 29889, 25442, 886, 13, 1678, 3695, 26594, 26594, 7377, 13, 13, 1678, 24930, 599, 18116, 13, 13, 29901, 8552, 1266, 29901, 14187, 1266, 29871, 29906, 29900, 29900, 29955, 29899, 29906, 29900, 29900, 29929, 491, 278, 529, 5813, 10202, 1074, 26524, 29950, 24125, 29889, 13, 29901, 506, 1947, 29901, 350, 7230, 29892, 1074, 365, 2965, 1430, 1660, 363, 4902, 29889, 13, 15945, 29908, 13, 13, 5215, 12183, 13, 3166, 1574, 13239, 1053, 7573, 13, 5215, 528, 13841, 13, 13, 3166, 269, 561, 14668, 29889, 23337, 1053, 903, 13, 3166, 269, 561, 14668, 29889, 20944, 1053, 1939, 14702, 13, 3166, 269, 561, 14668, 29889, 4422, 29889, 12667, 1053, 8797, 573, 13, 3166, 1574, 13239, 29889, 862, 4253, 29889, 29878, 303, 29889, 11851, 3145, 29889, 328, 3712, 2187, 1053, 7399, 3253, 3712, 654, 13, 13, 11135, 1299, 1525, 15082, 29918, 29956, 25614, 29903, 29918, 29907, 2477, 9606, 353, 376, 29883, 29887, 6064, 637, 29918, 25442, 886, 29889, 8173, 29908, 13, 13, 13, 1990, 274, 29887, 6064, 637, 27392, 29918, 3177, 29898, 18010, 29889, 27392, 29892, 7573, 29889, 2642, 1125, 13, 1678, 1209, 13, 13, 13, 1990, 274, 29887, 6064, 637, 27392, 1761, 29898, 18010, 29889, 15263, 29892, 7573, 29889, 2642, 1125, 13, 1678, 1209, 13, 13, 13, 1990, 8446, 1299, 13020, 22709, 29898, 5160, 3253, 3712, 654, 1125, 13, 13, 1678, 2943, 29918, 1990, 353, 274, 29887, 6064, 637, 27392, 29918, 3177, 13, 13, 1678, 396, 3544, 1059, 408, 385, 13136, 2980, 13, 1678, 13136, 29918, 25699, 353, 29871, 29896, 13, 13, 1678, 822, 1065, 29898, 1311, 1125, 13, 13, 4706, 364, 353, 7399, 3253, 3712, 654, 29889, 3389, 29898, 1311, 29897, 13, 13, 4706, 565, 7431, 29898, 1311, 29889, 25699, 29897, 1405, 29871, 29900, 29901, 13, 9651, 9177, 1990, 353, 1583, 29889, 25699, 29961, 29900, 29962, 13, 4706, 1683, 29901, 13, 9651, 9177, 1990, 353, 376, 19206, 29908, 13, 13, 4706, 8829, 353, 1583, 29889, 3859, 29889, 3225, 29889, 11027, 29889, 6272, 13, 4706, 565, 451, 756, 5552, 29898, 6272, 29892, 525, 29883, 29887, 6064, 637, 27392, 29918, 497, 29918, 29883, 29887, 6064, 637, 25442, 886, 29374, 13, 9651, 8829, 29889, 29883, 29887, 6064, 637, 27392, 29918, 497, 29918, 29883, 29887, 6064, 637, 25442, 886, 353, 5159, 13, 13, 4706, 1059, 29918, 8173, 353, 528, 13841, 29889, 3150, 29898, 11135, 1299, 1525, 15082, 29918, 29956, 25614, 29903, 29918, 29907, 2477, 9606, 29897, 13, 13, 4706, 1059, 29918, 8173, 3366, 29912, 6177, 25641, 29900, 29953, 29913, 1642, 4830, 29898, 6272, 29889, 1514, 978, 29892, 1583, 29889, 1915, 8154, 4638, 353, 313, 13, 9651, 364, 29961, 29900, 1822, 24535, 8552, 3285, 9177, 1990, 29897, 13, 13, 4706, 12183, 29889, 27392, 703, 11135, 1299, 13020, 29899, 22709, 29901, 1273, 29879, 29908, 1273, 9177, 1990, 29897, 13, 13, 4706, 736, 364, 13, 13, 13, 1990, 8446, 1299, 13020, 22709, 1293, 29898, 17392, 573, 1125, 13, 13, 1678, 9995, 13, 1678, 319, 1051, 310, 599, 274, 29887, 6064, 637, 27392, 9976, 29889, 13, 1678, 9995, 13, 13, 1678, 756, 29918, 3051, 353, 7700, 13, 1678, 3734, 29918, 25699, 353, 29871, 29900, 13, 1678, 13136, 29918, 25699, 353, 29871, 29900, 13, 1678, 2186, 29918, 23516, 29918, 1332, 3246, 3535, 353, 7700, 13, 1678, 2984, 29918, 6550, 353, 6571, 13, 13, 1678, 822, 1065, 29898, 1311, 1125, 13, 4706, 396, 3439, 17632, 4635, 385, 4069, 274, 29887, 6064, 637, 27392, 1761, 2943, 607, 674, 13, 4706, 396, 367, 8611, 2678, 746, 1889, 29918, 29883, 29887, 6064, 637, 27392, 29918, 18010, 338, 13, 4706, 396, 2000, 13, 4706, 736, 518, 29883, 29887, 6064, 637, 27392, 1761, 877, 1495, 29962, 13, 13, 13, 1753, 1889, 29918, 29883, 29887, 6064, 637, 27392, 29918, 18010, 29898, 932, 29892, 437, 312, 929, 29892, 515, 1514, 978, 1125, 13, 1678, 565, 451, 623, 29889, 2917, 1839, 29883, 29887, 6064, 637, 29918, 4294, 29918, 25442, 886, 2033, 29901, 13, 4706, 363, 2943, 297, 437, 312, 929, 29889, 3018, 3901, 29898, 29883, 29887, 6064, 637, 27392, 29918, 3177, 1125, 13, 9651, 2943, 29889, 3560, 29889, 5992, 29898, 3177, 29897, 13, 13, 1678, 396, 22108, 599, 274, 29887, 6064, 637, 27392, 1761, 7573, 411, 263, 1051, 310, 278, 13, 1678, 396, 16531, 274, 29887, 6064, 637, 25442, 886, 29889, 29871, 22333, 358, 1269, 274, 29887, 6064, 637, 27392, 13, 1678, 396, 411, 263, 1250, 2324, 304, 278, 2441, 4423, 29889, 13, 1678, 8829, 353, 623, 29889, 16409, 29889, 6272, 13, 13, 1678, 1059, 29918, 8173, 353, 528, 13841, 29889, 3150, 29898, 11135, 1299, 1525, 15082, 29918, 29956, 25614, 29903, 29918, 29907, 2477, 9606, 29897, 13, 13, 1678, 363, 2943, 297, 437, 312, 929, 29889, 3018, 3901, 29898, 29883, 29887, 6064, 637, 27392, 1761, 1125, 13, 4706, 565, 451, 623, 29889, 2917, 1839, 29883, 29887, 6064, 637, 29918, 4294, 29918, 25442, 886, 2033, 29901, 13, 9651, 2943, 29889, 6506, 29918, 1311, 4197, 2314, 13, 9651, 6773, 13, 13, 4706, 2793, 353, 5159, 13, 4706, 302, 25442, 886, 353, 29871, 29900, 13, 13, 4706, 1702, 353, 7573, 29889, 26956, 580, 13, 4706, 12705, 29918, 7076, 353, 12705, 29898, 2704, 29918, 8173, 29889, 7076, 3101, 13, 4706, 1702, 4619, 7573, 29889, 1626, 703, 8439, 526, 6571, 18116, 1642, 4830, 29898, 2435, 29898, 24582, 29918, 7076, 4961, 13, 4706, 2793, 29889, 4397, 29898, 22752, 29897, 13, 13, 4706, 363, 1820, 29892, 995, 297, 12705, 29918, 7076, 29901, 13, 13, 9651, 1574, 978, 29892, 6276, 8154, 353, 1820, 29889, 5451, 703, 29901, 1159, 13, 9651, 6276, 8154, 353, 938, 29898, 1915, 8154, 29897, 13, 9651, 274, 29887, 6064, 637, 27392, 29892, 9177, 1990, 353, 995, 13, 13, 9651, 1702, 353, 7573, 29889, 26956, 580, 13, 13, 9651, 10422, 353, 8829, 29889, 1514, 29906, 2084, 29898, 1514, 978, 29892, 2967, 29922, 8516, 29897, 13, 13, 9651, 302, 25442, 886, 4619, 29871, 29896, 13, 9651, 4423, 29918, 710, 353, 14210, 29879, 16664, 29881, 525, 1273, 313, 9507, 29892, 6276, 8154, 29897, 13, 13, 9651, 1018, 29901, 13, 18884, 6139, 29918, 710, 353, 9177, 1990, 13, 9651, 5174, 7670, 2392, 29901, 13, 18884, 6139, 29918, 710, 353, 376, 26690, 29908, 13, 13, 9651, 396, 6204, 263, 3407, 13, 9651, 716, 3177, 353, 7573, 29889, 5679, 877, 742, 27255, 13, 9651, 7622, 824, 356, 353, 7573, 29889, 7278, 25101, 7373, 29898, 5479, 29918, 710, 511, 903, 29898, 5479, 29918, 710, 876, 13, 9651, 716, 3177, 1839, 999, 1514, 978, 2033, 353, 1574, 978, 13, 13, 9651, 1018, 29901, 13, 18884, 716, 3177, 1839, 999, 5338, 2033, 353, 623, 29889, 16409, 29889, 657, 29918, 22925, 29918, 5338, 29898, 13, 462, 1678, 515, 1514, 978, 29892, 1574, 978, 29897, 13, 9651, 5174, 1939, 14702, 29901, 13, 18884, 396, 11455, 565, 694, 23539, 508, 367, 10087, 29892, 321, 29889, 29887, 29889, 363, 29186, 1962, 13, 18884, 1209, 13, 9651, 716, 3177, 29889, 4397, 29898, 2559, 824, 356, 29897, 13, 13, 9651, 1702, 4619, 716, 3177, 13, 9651, 1702, 4619, 7573, 29889, 1626, 29898, 8216, 29918, 710, 29892, 6139, 29918, 710, 29897, 13, 9651, 1702, 4619, 7573, 29889, 1626, 14182, 29876, 613, 6634, 29876, 1159, 13, 13, 9651, 396, 313, 4789, 1295, 3598, 29897, 8814, 9282, 297, 278, 274, 29887, 6064, 637, 27392, 2793, 13, 9651, 8829, 29889, 17863, 29918, 276, 10662, 29898, 29883, 29887, 6064, 637, 27392, 29892, 13, 462, 462, 259, 1574, 978, 29892, 13, 462, 462, 259, 623, 29889, 16409, 29897, 13, 13, 9651, 2793, 29889, 4397, 29898, 22752, 29897, 13, 13, 4706, 2943, 29889, 6506, 29918, 1311, 29898, 3051, 29897, 13, 13, 13, 1753, 3708, 479, 29918, 29883, 29887, 6064, 637, 25442, 886, 29898, 932, 29892, 8829, 29892, 1574, 978, 1125, 13, 1678, 565, 451, 756, 5552, 29898, 6272, 29892, 525, 29883, 29887, 6064, 637, 27392, 29918, 497, 29918, 29883, 29887, 6064, 637, 25442, 886, 29374, 13, 4706, 736, 13, 1678, 8829, 29889, 29883, 29887, 6064, 637, 27392, 29918, 497, 29918, 29883, 29887, 6064, 637, 25442, 886, 353, 320, 13, 4706, 518, 29883, 29887, 6064, 637, 27392, 363, 274, 29887, 6064, 637, 27392, 297, 13, 308, 8829, 29889, 29883, 29887, 6064, 637, 27392, 29918, 497, 29918, 29883, 29887, 6064, 637, 25442, 886, 13, 308, 565, 274, 29887, 6064, 637, 27392, 1839, 1514, 978, 2033, 2804, 1574, 978, 29962, 13, 13, 13, 1753, 6493, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 29898, 1311, 29892, 2943, 1125, 13, 1678, 1583, 29889, 1730, 277, 29918, 328, 3712, 654, 29898, 3177, 29897, 13, 13, 13, 1753, 5840, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 29898, 1311, 29892, 2943, 1125, 13, 1678, 1583, 29889, 311, 1595, 29918, 328, 3712, 654, 29898, 3177, 29897, 13, 13, 13, 1753, 6230, 29898, 932, 1125, 13, 1678, 623, 29889, 1202, 29918, 2917, 29918, 1767, 877, 29883, 29887, 6064, 637, 29918, 4294, 29918, 25442, 886, 742, 5852, 29892, 7700, 29897, 13, 13, 1678, 623, 29889, 1202, 29918, 3177, 29898, 29883, 29887, 6064, 637, 27392, 1761, 29897, 13, 1678, 623, 29889, 1202, 29918, 3177, 29898, 29883, 29887, 6064, 637, 27392, 29918, 3177, 29892, 13, 462, 3472, 7607, 1730, 277, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 29892, 13, 462, 539, 5840, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 511, 13, 462, 5683, 29916, 7607, 13, 462, 268, 6493, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 29892, 13, 462, 268, 5840, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 511, 13, 462, 1426, 7607, 1730, 277, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 29892, 13, 462, 539, 5840, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 876, 13, 13, 1678, 623, 29889, 1202, 29918, 11851, 573, 877, 27392, 742, 8446, 1299, 13020, 22709, 29897, 13, 1678, 623, 29889, 1202, 29918, 11851, 573, 877, 27392, 1761, 742, 8446, 1299, 13020, 22709, 1293, 29897, 13, 1678, 623, 29889, 6915, 877, 1867, 312, 929, 29899, 9778, 1490, 742, 1889, 29918, 29883, 29887, 6064, 637, 27392, 29918, 18010, 29897, 13, 1678, 623, 29889, 6915, 877, 6272, 29899, 15503, 479, 29899, 1514, 742, 3708, 479, 29918, 29883, 29887, 6064, 637, 25442, 886, 29897, 13, 13, 1678, 736, 11117, 23482, 29918, 949, 29918, 11177, 2396, 5852, 29913, 13, 2 ]
spinoffs/inference_gym/inference_gym/targets/eight_schools_test.py	PavanKishore21/probability	3,670	30679	# Copyright 2020 The TensorFlow Probability Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ """Tests for inference_gym.targets.eight_schools.""" import tensorflow.compat.v2 as tf from inference_gym.internal import test_util from inference_gym.targets import eight_schools @test_util.multi_backend_test(globals(), 'targets.eight_schools_test') class EightSchoolsTest(test_util.InferenceGymTestCase): def testEightSchools(self): """Checks that unconstrained parameters yield finite joint densities.""" model = eight_schools.EightSchools() self.validate_log_prob_and_transforms( model, sample_transformation_shapes=dict(identity={ 'avg_effect': [], 'log_stddev': [], 'school_effects': [8], }), check_ground_truth_mean_standard_error=True, check_ground_truth_mean=True, check_ground_truth_standard_deviation=True) @test_util.numpy_disable_gradient_test def testEightSchoolsHMC(self): """Checks approximate samples from the model against the ground truth.""" model = eight_schools.EightSchools() self.validate_ground_truth_using_hmc( model, num_chains=4, num_steps=4000, num_leapfrog_steps=10, step_size=0.4, ) if __name__ == '__main__': tf.test.main()	[ 1, 396, 14187, 1266, 29871, 29906, 29900, 29906, 29900, 450, 323, 6073, 17907, 1019, 29890, 3097, 13189, 943, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 268, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 1360, 13, 15945, 29908, 24376, 363, 27262, 29918, 29887, 962, 29889, 5182, 29879, 29889, 29872, 523, 29918, 816, 8789, 1213, 15945, 13, 13, 5215, 26110, 29889, 12667, 29889, 29894, 29906, 408, 15886, 13, 13, 3166, 27262, 29918, 29887, 962, 29889, 7564, 1053, 1243, 29918, 4422, 13, 3166, 27262, 29918, 29887, 962, 29889, 5182, 29879, 1053, 9475, 29918, 816, 8789, 13, 13, 13, 29992, 1688, 29918, 4422, 29889, 9910, 29918, 27852, 29918, 1688, 29898, 23705, 1338, 3285, 525, 5182, 29879, 29889, 29872, 523, 29918, 816, 8789, 29918, 1688, 1495, 13, 1990, 382, 523, 4504, 8789, 3057, 29898, 1688, 29918, 4422, 29889, 797, 1659, 29954, 962, 3057, 8259, 1125, 13, 13, 29871, 822, 1243, 29923, 523, 4504, 8789, 29898, 1311, 1125, 13, 1678, 9995, 5596, 29879, 393, 443, 3075, 22042, 4128, 7709, 8093, 14002, 6245, 1907, 1213, 15945, 13, 1678, 1904, 353, 9475, 29918, 816, 8789, 29889, 29923, 523, 4504, 8789, 580, 13, 1678, 1583, 29889, 15480, 29918, 1188, 29918, 22795, 29918, 392, 29918, 9067, 29879, 29898, 13, 4706, 1904, 29892, 13, 4706, 4559, 29918, 3286, 5404, 29918, 845, 11603, 29922, 8977, 29898, 22350, 3790, 13, 9651, 525, 485, 29887, 29918, 15987, 2396, 19997, 13, 9651, 525, 1188, 29918, 4172, 3359, 2396, 19997, 13, 9651, 525, 27041, 29918, 15987, 29879, 2396, 518, 29947, 1402, 13, 4706, 500, 511, 13, 4706, 1423, 29918, 2057, 29918, 509, 2806, 29918, 12676, 29918, 15770, 29918, 2704, 29922, 5574, 29892, 13, 4706, 1423, 29918, 2057, 29918, 509, 2806, 29918, 12676, 29922, 5574, 29892, 13, 4706, 1423, 29918, 2057, 29918, 509, 2806, 29918, 15770, 29918, 311, 14641, 29922, 5574, 29897, 13, 13, 29871, 732, 1688, 29918, 4422, 29889, 23749, 29918, 20472, 29918, 24970, 29918, 1688, 13, 29871, 822, 1243, 29923, 523, 4504, 8789, 29950, 12513, 29898, 1311, 1125, 13, 1678, 9995, 5596, 29879, 26368, 11916, 515, 278, 1904, 2750, 278, 5962, 8760, 1213, 15945, 13, 1678, 1904, 353, 9475, 29918, 816, 8789, 29889, 29923, 523, 4504, 8789, 580, 13, 13, 1678, 1583, 29889, 15480, 29918, 2057, 29918, 509, 2806, 29918, 4746, 29918, 7184, 29883, 29898, 13, 4706, 1904, 29892, 13, 4706, 954, 29918, 305, 2708, 29922, 29946, 29892, 13, 4706, 954, 29918, 24530, 29922, 29946, 29900, 29900, 29900, 29892, 13, 4706, 954, 29918, 280, 481, 29888, 9102, 29918, 24530, 29922, 29896, 29900, 29892, 13, 4706, 4331, 29918, 2311, 29922, 29900, 29889, 29946, 29892, 13, 1678, 1723, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 29871, 15886, 29889, 1688, 29889, 3396, 580, 13, 2 ]
tests/codegen/unroller_test.py	tobiasholenstein/dace	0	85418	<reponame>tobiasholenstein/dace # Copyright 2019-2020 ETH Zurich and the DaCe authors. All rights reserved. import dace import numpy as np import unittest @dace.program def Copy(output: dace.int32[5], input: dace.int32[5]): @dace.map def mytasklet(i: _[0:5]): inp << input[i] out >> output[i] out = inp class UnrollerTest(unittest.TestCase): def test_unroller(self): sdfg = Copy.to_sdfg() # Transform map to unrolled for state in sdfg.nodes(): for node in state.nodes(): if isinstance(node, dace.sdfg.nodes.MapEntry): node.schedule = dace.ScheduleType.Unrolled input = np.ones([5], dtype=np.int32) output = np.zeros([5], dtype=np.int32) sdfg(output=output, input=input) self.assertTrue((output == input).all()) if __name__ == '__main__': unittest.main()	[ 1, 529, 276, 1112, 420, 29958, 517, 5365, 1161, 18975, 5465, 29914, 29881, 815, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29896, 29929, 29899, 29906, 29900, 29906, 29900, 382, 4690, 16318, 436, 322, 278, 7266, 29907, 29872, 15717, 29889, 2178, 10462, 21676, 29889, 13, 5215, 270, 815, 13, 5215, 12655, 408, 7442, 13, 5215, 443, 27958, 13, 13, 29992, 29881, 815, 29889, 8860, 13, 1753, 14187, 29898, 4905, 29901, 270, 815, 29889, 524, 29941, 29906, 29961, 29945, 1402, 1881, 29901, 270, 815, 29889, 524, 29941, 29906, 29961, 29945, 29962, 1125, 13, 1678, 732, 29881, 815, 29889, 1958, 13, 1678, 822, 590, 7662, 1026, 29898, 29875, 29901, 903, 29961, 29900, 29901, 29945, 29962, 1125, 13, 4706, 297, 29886, 3532, 1881, 29961, 29875, 29962, 13, 4706, 714, 5099, 1962, 29961, 29875, 29962, 13, 308, 13, 4706, 714, 353, 297, 29886, 13, 13, 1990, 853, 1825, 3057, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 1678, 822, 1243, 29918, 348, 1825, 29898, 1311, 1125, 13, 4706, 269, 2176, 29887, 353, 14187, 29889, 517, 29918, 29879, 2176, 29887, 580, 13, 13, 4706, 396, 4103, 689, 2910, 304, 443, 24476, 13, 4706, 363, 2106, 297, 269, 2176, 29887, 29889, 18010, 7295, 13, 9651, 363, 2943, 297, 2106, 29889, 18010, 7295, 13, 18884, 565, 338, 8758, 29898, 3177, 29892, 270, 815, 29889, 29879, 2176, 29887, 29889, 18010, 29889, 3388, 9634, 1125, 13, 462, 1678, 2943, 29889, 816, 11272, 353, 270, 815, 29889, 4504, 11272, 1542, 29889, 2525, 24476, 13, 13, 4706, 1881, 353, 7442, 29889, 2873, 4197, 29945, 1402, 26688, 29922, 9302, 29889, 524, 29941, 29906, 29897, 13, 4706, 1962, 353, 7442, 29889, 3298, 359, 4197, 29945, 1402, 26688, 29922, 9302, 29889, 524, 29941, 29906, 29897, 13, 4706, 269, 2176, 29887, 29898, 4905, 29922, 4905, 29892, 1881, 29922, 2080, 29897, 13, 13, 4706, 1583, 29889, 9294, 5574, 3552, 4905, 1275, 1881, 467, 497, 3101, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 443, 27958, 29889, 3396, 580, 13, 2 ]
cppod.py	siqil/CPPOD	4	138167	<gh_stars>1-10 import numpy as np import torch import torch.nn as nn import os import time import random import pickle import logging import math import torch.optim as optim import pandas as pd from collections import OrderedDict import util class NSMMPP(nn.Module): def __init__(self, label_size, hidden_size, args, prior=None): super(NSMMPP, self).__init__() self.args = args self.target = args.target self.device = args.device self.sigmoid = nn.Sigmoid() self.tanh = nn.Tanh() self.softplus = nn.Softplus() self.label_size = label_size self.hidden_size = hidden_size self.num_eq = 7 # add a special event label for initialization self.Emb = nn.Parameter(self.init_weight(torch.empty(hidden_size, label_size + 1, device=self.device))) self.W = nn.Parameter(self.init_weight(torch.empty(self.num_eq, hidden_size, hidden_size, device=self.device))) self.U = nn.Parameter(self.init_weight(torch.empty(self.num_eq, hidden_size, hidden_size, device=self.device))) self.d = nn.Parameter(torch.zeros(self.num_eq, hidden_size, device=self.device)) self.w = nn.Parameter(self.init_weight(torch.empty(label_size, hidden_size, device=self.device))) self.log_s = nn.Parameter(torch.zeros(label_size, device=self.device)) self.debug = False def init_weight(self, w): stdv = 1. / math.sqrt(w.size()[-1]) w.uniform_(-stdv, stdv) return w def scaled_softplus(self, x): s = torch.exp(self.log_s) return s * self.softplus(x / s) # all zeros def init_hidden(self): c_t = torch.zeros(self.hidden_size, device=self.device) c_ = torch.zeros_like(c_t) h_t = torch.zeros_like(c_t) hidden = (c_t, h_t, c_, None, None, None) return hidden # only compute hidden variables def forward_one_step(self, label_prev, label, t_prev, t, hidden): c_t, h_t, c_, _, _, _ = hidden temp = self.W.matmul(label_prev) + self.U.matmul(h_t) + self.d i = self.sigmoid(temp[0, :]) f = self.sigmoid(temp[1, :]) z = self.tanh(temp[2, :]) o = self.sigmoid(temp[3, :]) i_ = self.sigmoid(temp[4, :]) f_ = self.sigmoid(temp[5, :]) delta = self.softplus(temp[6, :]) c = f * c_t + i * z c_ = f_ * c_ + i_ * z c_t = c_ + (c - c_) * torch.exp(-delta * (t - t_prev)) h_t = o * self.tanh(c_t) hidden = (c_t, h_t, c_, c, delta, o) return hidden def h_to_lambd(self, h): lambd_tilda = h.matmul(self.w.t()) lambd = self.scaled_softplus(lambd_tilda) return lambd + 1e-9 # compute NLL loss given a label_seq and a time_seq # sim_time_seq is simlulated times for computing integral def loglik(self, label_seq, time_seq, sim_time_seq, sim_time_idx, ignore_first): n = len(time_seq) # collect states right after each event # last event is EOS marker all_c = torch.zeros(n-1, self.hidden_size, device=self.device) all_c_ = torch.zeros_like(all_c) all_delta = torch.zeros_like(all_c) all_o = torch.zeros_like(all_c) all_h_t = torch.zeros_like(all_c) hidden = self.init_hidden() # BOS event is 0 at time 0 label_prev = self.Emb[:, label_seq[0]].squeeze() t_prev = time_seq[0] for i in range(1,n): label = self.Emb[:, label_seq[i]].squeeze() t = time_seq[i] hidden = self.forward_one_step(label_prev, label, t_prev, t, hidden) _, all_h_t[i-1, :], all_c_[i-1, :], all_c[i-1, :], all_delta[i-1, :], all_o[i-1, :] = hidden label_prev = label t_prev = t if ignore_first: beg = 1 else: beg = 0 target = self.target h_t = all_h_t[beg:-1, :] if h_t.shape[0] > 0: lambd = self.h_to_lambd(h_t) term1 = (lambd[label_seq[(1+beg):-1] == target, target-1]).log().sum() else: term1 = 0 c_sim = all_c_[sim_time_idx, :] + \ (all_c[sim_time_idx, :] - all_c_[sim_time_idx, :]) * \ torch.exp(-all_delta[sim_time_idx, :] * (sim_time_seq - time_seq[sim_time_idx])[:, None]) h_sim = all_o[sim_time_idx, :] * self.tanh(c_sim) lambd_sim = self.h_to_lambd(h_sim) term2 = lambd_sim[:, target-1].mean() * (time_seq[-1] - time_seq[0]) loglik = term1 - term2 return -loglik, all_c, all_c_, all_delta, all_o, all_h_t, h_sim def forward(self, label_seq, time_seq, sim_time_seq, sim_time_idx, ignore_first): result = self.loglik(label_seq, time_seq, sim_time_seq, sim_time_idx, ignore_first) return result[0].sum() def detect_outlier(self, label_seq, time_seq, sim_time_seq, sim_time_idx, sim_time_diffs, time_test, n_sample): with torch.no_grad(): loglik, all_c, all_c_, all_delta, all_o, all_h_t, h_sim = self.loglik( label_seq, time_seq, sim_time_seq, sim_time_idx, False) n = len(time_test) m = len(time_seq) score = torch.zeros(n-1, device=self.device) target = self.target j = 0 ts = torch.zeros(n_sample, device=self.device) for i in range(n-1): t_beg = time_test[i] t_end = time_test[i+1] ts.uniform_(t_beg, t_end) # find the first event after t_beg while j < m and time_seq[j] <= t_beg: j += 1 assert(time_seq[j] > t_beg) assert(time_seq[j-1] <= t_beg) Lambd = 0 k = j # calculate Lambda piecewise segmented by events while k < m and time_seq[k-1] <= t_end: ts_in_range = ts[(ts > time_seq[k-1]) & (ts <= time_seq[k])] if len(ts_in_range) > 0: c = all_c[k-1,:] c_ = all_c_[k-1,:] delta = all_delta[k-1,:] o = all_o[k-1,:] c_ts = c_ + (c - c_) * torch.exp(-delta[None, :] * (ts_in_range[:, None] - time_seq[k-1])) h_ts = o * self.tanh(c_ts) lambd_all = self.h_to_lambd(h_ts) lambd = lambd_all[:,target-1] Lambd += lambd.sum() / n_sample k += 1 Lambd = (t_end - t_beg) score[i] = Lambd lambd = self.h_to_lambd(all_h_t)[:-1] lambd_sim = self.h_to_lambd(h_sim) return score, -score, lambd, lambd_sim def detect_outlier_instant(self, label_seq, time_seq, sim_time_seq, sim_time_idx, sim_time_diffs, time_test): with torch.no_grad(): loglik, all_c, all_c_, all_delta, all_o, all_h_t, h_sim = self.loglik( label_seq, time_seq, sim_time_seq, sim_time_idx, False) n = len(time_test) m = len(time_seq) score = torch.zeros(n-1, device=self.device) target = self.target j = 0 for i in range(n-1): t_end = time_test[i+1] if t_end == 0: j = 1 else: # find the first event at/after t_end while j < m and time_seq[j] < t_end: j += 1 assert(time_seq[j] >= t_end) # last event before t_end assert(time_seq[j-1] < t_end) c = all_c[j-1,:] c_ = all_c_[j-1,:] delta = all_delta[j-1,:] o = all_o[j-1,:] c_ts = c_ + (c - c_) torch.exp(-delta * (t_end - time_seq[j-1])) h_ts = o * self.tanh(c_ts) lambd_all = self.h_to_lambd(h_ts) lambd = lambd_all[target-1] score[i] = lambd lambd = self.h_to_lambd(all_h_t)[:-1] lambd_sim = self.h_to_lambd(h_sim) return score, -score, lambd, lambd_sim class ModelManager: def __init__(self, train_set, val_set, test_set, save_path, args): self.args = args self.device = args.device self.target = args.target self.sim_time_diffs = None self.train_set, time_train, count_train = self.prepare(train_set, args.sample_multiplier) self.val_set, time_val, count_val = self.prepare(val_set, args.sample_multiplier) self.test_set, _, _ = self.prepare(test_set, args.sample_multiplier) self.horizon = (time_train+time_val)/(count_train+count_val) self.dt = 1 self.model_path = save_path self.ignore_first = args.ignore_first def prepare(self, data_set, multiple, diff_sample_size=100, regular=False, step=None): if data_set is None: return None, None, None output = [] total_time = 0 total_count = 0 for seq in data_set: label_seq = torch.tensor( np.concatenate(([0], seq['mark'], [0])), dtype=torch.long, device=self.device ) time_seq = torch.tensor( np.concatenate(([seq['start']], seq['time'], [seq['stop']])), dtype=torch.float, device=self.device ) n = len(time_seq) t0 = seq['start'] tn = seq['stop'] total_time += tn - t0 total_count += (label_seq == 1).sum() if regular: sim_time_seq = torch.arange(t0, tn, step, device=self.device) sim_time_idx = torch.zeros_like(sim_time_seq, dtype=torch.long) else: sim_time_seq = time_seq.new_empty(n * multiple) sim_time_seq.uniform_(t0, tn) sim_time_idx = label_seq.new_zeros(n * multiple) for j in range(n - 1): sim_time_idx[(sim_time_seq > time_seq[j]) & (sim_time_seq <= time_seq[j + 1]) ] = j if self.sim_time_diffs is None: temp = sim_time_seq.new_empty(diff_sample_size) temp.exponential_(1) self.sim_time_diffs, _ = torch.sort(temp) if seq['time_test'] is None: time_test = None else: time_test = torch.tensor( seq['time_test'], dtype=torch.float, device=self.device) if seq['label_test'] is None: label_test = None else: label_test = torch.tensor( seq['label_test'], device=self.device, ) item = { 'id': seq['id'], 'label_seq': label_seq, 'time_seq': time_seq, 'sim_time_seq': sim_time_seq, 'sim_time_idx': sim_time_idx, 'sim_time_diffs' : self.sim_time_diffs, 'time_test': time_test, 'label_test': label_test, 'lambda_x': seq['lambda_x'], 't_x': seq['t_x'], } output.append(item) return output, total_time, total_count def train_one_epoch(self, model, train_set, optimizer): log_interval = self.args.log_interval total_loss = 0 total_num_seq = len(train_set) start_time = time.time() for seq_idx, item in enumerate(train_set): optimizer.zero_grad() loss = model(item['label_seq'], item['time_seq'], item['sim_time_seq'], item['sim_time_idx'], False) loss.backward() optimizer.step() total_loss += loss.item() if seq_idx % log_interval == 0 and seq_idx > 0: cur_loss = total_loss / log_interval elapsed = time.time() - start_time logging.info('\| {:5d}/{:5d} seqs \| ' 'ms/seq {:5.2f} \| ' 'loss {:5.2f} \|'.format( seq_idx, total_num_seq, elapsed * 1000 / log_interval, cur_loss)) total_loss = 0 start_time = time.time() def train(self, model, epochs=None, use_all_data=False, name="model.pt"): best_val_loss = None optimizer = optim.Adam(model.parameters(), lr=self.args.lr) if epochs is None: early_stop = True epochs = self.args.epochs else: early_stop = False for epoch in range(1, epochs+1): epoch_start_time = time.time() if use_all_data: train_set = self.train_set + self.val_set else: train_set = self.train_set self.train_one_epoch(model, train_set, optimizer) val_loss = self.evaluate(model) logging.info('-' * 89) logging.info('\| end of epoch {:3d} \| time: {:5.2f}s \| ' 'valid loss {:f} \|'.format( epoch, (time.time() - epoch_start_time), val_loss)) logging.info('-' * 89) if best_val_loss is None or val_loss < best_val_loss: self.save_model(model, name) best_val_loss = val_loss elif early_stop: epochs = epoch - 1 break if best_val_loss: self.load_model(model, name) return best_val_loss, epochs def evaluate(self, model): total_loss = 0 for seq_idx, item in enumerate(self.val_set): loss = model( item['label_seq'], item['time_seq'], item['sim_time_seq'], item['sim_time_idx'], self.ignore_first ) total_loss += loss.item() return total_loss def likelihood(self, model, dataset): total_loss = 0 for seq_idx, item in enumerate(dataset): loss = model( item['label_seq'], item['time_seq'], item['sim_time_seq'], item['sim_time_idx'], self.ignore_first ) total_loss += loss.item() return total_loss def detect_outlier(self, model, debug=False, instant=False): log_interval = self.args.log_interval results = [] n = len(self.test_set) start_time = time.time() for seq_idx, item in enumerate(self.test_set): if instant: score_omiss, score_commiss, lambd, lambd_sim = model.detect_outlier_instant( item['label_seq'], item['time_seq'], item['sim_time_seq'], item['sim_time_idx'], item['sim_time_diffs'], item['time_test'], ) else: score_omiss, score_commiss, lambd, lambd_sim = model.detect_outlier( item['label_seq'], item['time_seq'], item['sim_time_seq'], item['sim_time_idx'], item['sim_time_diffs'], item['time_test'], n_sample=1000 ) df = pd.DataFrame(OrderedDict({ 'seq': seq_idx, 'time': item['time_test'].numpy()[1:], 'score_omiss': score_omiss.numpy(), 'score_commiss': score_commiss.numpy(), 'label': item['label_test'].numpy(), })) if item['id'] is None: df.insert(0, 'id', seq_idx+1) else: df.insert(0, 'id', item['id']) results.append(df) if (seq_idx+1) % log_interval == 0: logging.info(f'Finished detecting outliers in seq {seq_idx+1}/{n} in {(time.time()-start_time):.2f}s') start_time = time.time() results = pd.concat(results) return results def save_model(self, model, name): with open(os.path.join(self.model_path, name), 'wb') as f: torch.save(model.state_dict(), f) def load_model(self, model, name): with open(os.path.join(self.model_path, name), 'rb') as f: model.load_state_dict(torch.load(f)) class ContextDataLoader: def __init__(self, train_set, test_set, label_size, target=1): self.label_size = label_size self.target = target n = len(train_set) n_train = int(n*0.8) n_train_val = n self.train_set = self.convert(train_set[:n_train]) self.val_set = self.convert(train_set[n_train:n_train_val]) self.test_set = self.convert(test_set) def convert(self, seqs): if seqs is None: return None m_t = self.target + 1 def _convert(seq): seq_id = seq.get('id') time_c = seq['time_context'] mark_c = seq['mark_context'] start = seq['start'] stop = seq['stop'] time_t = seq['time_target'] mark_t = seq['mark_target'] assert(util.is_sorted(time_c)) assert(util.is_sorted(time_t)) time = [] mark = [] i_c = 0 i_t = 0 n_c = len(time_c) n_t = len(time_t) assert(n_c == len(mark_c)) assert(n_t == len(mark_t)) while i_c < n_c and i_t < n_t: if time_t[i_t] <= time_c[i_c]: time.append(time_t[i_t]) mark.append(mark_t[i_t]) i_t += 1 else: time.append(time_c[i_c]) mark.append(m_t + mark_c[i_c]) i_c += 1 if i_t < n_t: time.extend(time_t[i_t:]) mark.extend(mark_t[i_t:]) if i_c < n_c: time.extend(time_c[i_c:]) mark.extend(m_t + mark_c[i_c:]) return { 'id': seq_id, 'time': time, 'mark': mark, 'start': start, 'stop': stop, 'time_test': seq.get('time_test'), 'label_test': seq.get('label_test'), 'lambda_x': seq.get('lambda_x'), 't_x': seq.get('t_x'), } return [_convert(seq) for seq in seqs] class NonContextDataLoader(ContextDataLoader): def convert(self, seqs): if seqs is None: return None def _convert(seq): seq_id = seq.get('id') start = seq['start'] stop = seq['stop'] time_t = seq['time_target'] mark_t = seq['mark_target'] assert(util.is_sorted(time_t)) assert(len(time_t) == len(mark_t)) return { 'id': seq_id, 'time': time_t, 'mark': mark_t, 'start': start, 'stop': stop, 'time_test': seq.get('time_test'), 'label_test': seq.get('label_test'), 'lambda_x': seq.get('lambda_x'), 't_x': seq.get('t_x'), } return [_convert(seq) for seq in seqs] class UnlabelContextDataLoader(ContextDataLoader): def convert(self, seqs): if seqs is None: return None m_t = self.target + 1 def _convert(seq): seq_id = seq.get('id') time_c = seq['time_context'] mark_c = seq['mark_context'] start = seq['start'] stop = seq['stop'] time_t = seq['time_target'] mark_t = seq['mark_target'] assert(util.is_sorted(time_c)) assert(util.is_sorted(time_t)) time = [] mark = [] i_c = 0 i_t = 0 n_c = len(time_c) n_t = len(time_t) assert(n_c == len(mark_c)) assert(n_t == len(mark_t)) while i_c < n_c and i_t < n_t: if time_t[i_t] <= time_c[i_c]: time.append(time_t[i_t]) mark.append(mark_t[i_t]) i_t += 1 else: time.append(time_c[i_c]) mark.append(m_t + mark_c[i_c]) i_c += 1 if i_t < n_t: time.extend(time_t[i_t:]) mark.extend(mark_t[i_t:]) if i_c < n_c: time.extend(time_c[i_c:]) mark.extend(m_t + mark_c[i_c:]) assert(seq.get('time_test') is None) assert(seq.get('label_test') is None) if start == time_t[0]: # if starts with a target event # just use it as the start time_test = np.array(time_t) else: # otherwise add a start time_test = np.array(np.concatenate(([start], time_t))) # first event marks the start and is not tested label_test = np.zeros_like(time_test[1:]) return { 'id': seq_id, 'time': time, 'mark': mark, 'start': start, 'stop': stop, 'time_test': time_test, 'label_test': label_test, 'lambda_x': None, 't_x': None, } return [_convert(seq) for seq in seqs]	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 12655, 408, 7442, 13, 5215, 4842, 305, 13, 5215, 4842, 305, 29889, 15755, 408, 302, 29876, 13, 5215, 2897, 13, 5215, 931, 13, 5215, 4036, 13, 5215, 5839, 280, 13, 5215, 12183, 13, 5215, 5844, 13, 5215, 4842, 305, 29889, 20640, 408, 5994, 13, 5215, 11701, 408, 10518, 13, 3166, 16250, 1053, 8170, 287, 21533, 13, 5215, 3667, 13, 13, 1990, 3865, 29924, 3580, 29925, 29898, 15755, 29889, 7355, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3858, 29918, 2311, 29892, 7934, 29918, 2311, 29892, 6389, 29892, 7536, 29922, 8516, 1125, 13, 4706, 2428, 29898, 3059, 29924, 3580, 29925, 29892, 1583, 467, 1649, 2344, 1649, 580, 13, 4706, 1583, 29889, 5085, 353, 6389, 13, 4706, 1583, 29889, 5182, 353, 6389, 29889, 5182, 13, 4706, 1583, 29889, 10141, 353, 6389, 29889, 10141, 13, 4706, 1583, 29889, 18816, 29885, 3398, 353, 302, 29876, 29889, 29903, 335, 29885, 3398, 580, 13, 4706, 1583, 29889, 13161, 29882, 353, 302, 29876, 29889, 29911, 27731, 580, 13, 4706, 1583, 29889, 2695, 11242, 353, 302, 29876, 29889, 6295, 615, 11242, 580, 13, 4706, 1583, 29889, 1643, 29918, 2311, 353, 3858, 29918, 2311, 13, 4706, 1583, 29889, 10892, 29918, 2311, 353, 7934, 29918, 2311, 13, 4706, 1583, 29889, 1949, 29918, 1837, 353, 29871, 29955, 13, 4706, 396, 788, 263, 4266, 1741, 3858, 363, 17865, 13, 4706, 1583, 29889, 6026, 29890, 353, 302, 29876, 29889, 9329, 29898, 1311, 29889, 2344, 29918, 7915, 29898, 7345, 305, 29889, 6310, 29898, 10892, 29918, 2311, 29892, 3858, 29918, 2311, 718, 29871, 29896, 29892, 4742, 29922, 1311, 29889, 10141, 4961, 13, 4706, 1583, 29889, 29956, 353, 302, 29876, 29889, 9329, 29898, 1311, 29889, 2344, 29918, 7915, 29898, 7345, 305, 29889, 6310, 29898, 1311, 29889, 1949, 29918, 1837, 29892, 7934, 29918, 2311, 29892, 7934, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 4961, 13, 4706, 1583, 29889, 29965, 353, 302, 29876, 29889, 9329, 29898, 1311, 29889, 2344, 29918, 7915, 29898, 7345, 305, 29889, 6310, 29898, 1311, 29889, 1949, 29918, 1837, 29892, 7934, 29918, 2311, 29892, 7934, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 4961, 13, 4706, 1583, 29889, 29881, 353, 302, 29876, 29889, 9329, 29898, 7345, 305, 29889, 3298, 359, 29898, 1311, 29889, 1949, 29918, 1837, 29892, 7934, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 876, 13, 4706, 1583, 29889, 29893, 353, 302, 29876, 29889, 9329, 29898, 1311, 29889, 2344, 29918, 7915, 29898, 7345, 305, 29889, 6310, 29898, 1643, 29918, 2311, 29892, 7934, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 4961, 13, 4706, 1583, 29889, 1188, 29918, 29879, 353, 302, 29876, 29889, 9329, 29898, 7345, 305, 29889, 3298, 359, 29898, 1643, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 876, 13, 4706, 1583, 29889, 8382, 353, 7700, 13, 13, 1678, 822, 2069, 29918, 7915, 29898, 1311, 29892, 281, 1125, 13, 4706, 3659, 29894, 353, 29871, 29896, 29889, 847, 5844, 29889, 3676, 29898, 29893, 29889, 2311, 580, 14352, 29896, 2314, 13, 4706, 281, 29889, 29590, 29918, 6278, 4172, 29894, 29892, 3659, 29894, 29897, 13, 4706, 736, 281, 13, 13, 1678, 822, 6287, 29881, 29918, 2695, 11242, 29898, 1311, 29892, 921, 1125, 13, 4706, 269, 353, 4842, 305, 29889, 4548, 29898, 1311, 29889, 1188, 29918, 29879, 29897, 13, 4706, 736, 269, 334, 1583, 29889, 2695, 11242, 29898, 29916, 847, 269, 29897, 13, 13, 1678, 396, 599, 24786, 13, 1678, 822, 2069, 29918, 10892, 29898, 1311, 1125, 13, 4706, 274, 29918, 29873, 353, 4842, 305, 29889, 3298, 359, 29898, 1311, 29889, 10892, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 29897, 13, 4706, 274, 29918, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 29883, 29918, 29873, 29897, 13, 4706, 298, 29918, 29873, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 29883, 29918, 29873, 29897, 13, 4706, 7934, 353, 313, 29883, 29918, 29873, 29892, 298, 29918, 29873, 29892, 274, 3383, 6213, 29892, 6213, 29892, 6213, 29897, 13, 4706, 736, 7934, 13, 13, 1678, 396, 871, 10272, 7934, 3651, 13, 1678, 822, 6375, 29918, 650, 29918, 10568, 29898, 1311, 29892, 3858, 29918, 16304, 29892, 3858, 29892, 260, 29918, 16304, 29892, 260, 29892, 7934, 1125, 13, 4706, 274, 29918, 29873, 29892, 298, 29918, 29873, 29892, 274, 3383, 17117, 17117, 903, 353, 7934, 13, 4706, 5694, 353, 1583, 29889, 29956, 29889, 2922, 16109, 29898, 1643, 29918, 16304, 29897, 718, 1583, 29889, 29965, 29889, 2922, 16109, 29898, 29882, 29918, 29873, 29897, 718, 1583, 29889, 29881, 13, 4706, 474, 353, 1583, 29889, 18816, 29885, 3398, 29898, 7382, 29961, 29900, 29892, 584, 2314, 13, 4706, 285, 353, 1583, 29889, 18816, 29885, 3398, 29898, 7382, 29961, 29896, 29892, 584, 2314, 13, 4706, 503, 353, 1583, 29889, 13161, 29882, 29898, 7382, 29961, 29906, 29892, 584, 2314, 13, 4706, 288, 353, 1583, 29889, 18816, 29885, 3398, 29898, 7382, 29961, 29941, 29892, 584, 2314, 13, 4706, 474, 29918, 353, 1583, 29889, 18816, 29885, 3398, 29898, 7382, 29961, 29946, 29892, 584, 2314, 13, 4706, 285, 29918, 353, 1583, 29889, 18816, 29885, 3398, 29898, 7382, 29961, 29945, 29892, 584, 2314, 13, 4706, 19471, 353, 1583, 29889, 2695, 11242, 29898, 7382, 29961, 29953, 29892, 584, 2314, 13, 4706, 274, 353, 285, 334, 274, 29918, 29873, 718, 474, 334, 503, 13, 4706, 274, 29918, 353, 285, 29918, 334, 274, 29918, 718, 474, 29918, 334, 503, 13, 4706, 274, 29918, 29873, 353, 274, 29918, 718, 313, 29883, 448, 274, 19925, 334, 4842, 305, 29889, 4548, 6278, 4181, 334, 313, 29873, 448, 260, 29918, 16304, 876, 13, 4706, 298, 29918, 29873, 353, 288, 334, 1583, 29889, 13161, 29882, 29898, 29883, 29918, 29873, 29897, 13, 4706, 7934, 353, 313, 29883, 29918, 29873, 29892, 298, 29918, 29873, 29892, 274, 3383, 274, 29892, 19471, 29892, 288, 29897, 13, 4706, 736, 7934, 13, 13, 1678, 822, 298, 29918, 517, 29918, 29880, 1117, 29881, 29898, 1311, 29892, 298, 1125, 13, 4706, 301, 1117, 29881, 29918, 29873, 25949, 353, 298, 29889, 2922, 16109, 29898, 1311, 29889, 29893, 29889, 29873, 3101, 13, 4706, 301, 1117, 29881, 353, 1583, 29889, 7052, 29881, 29918, 2695, 11242, 29898, 29880, 1117, 29881, 29918, 29873, 25949, 29897, 13, 4706, 736, 301, 1117, 29881, 718, 29871, 29896, 29872, 29899, 29929, 13, 13, 1678, 396, 10272, 405, 2208, 6410, 2183, 263, 3858, 29918, 11762, 322, 263, 931, 29918, 11762, 13, 1678, 396, 1027, 29918, 2230, 29918, 11762, 338, 1027, 29880, 7964, 3064, 363, 20602, 10160, 13, 1678, 822, 1480, 5081, 29898, 1311, 29892, 3858, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 11455, 29918, 4102, 1125, 13, 4706, 302, 353, 7431, 29898, 2230, 29918, 11762, 29897, 13, 4706, 396, 6314, 5922, 1492, 1156, 1269, 1741, 13, 4706, 396, 1833, 1741, 338, 382, 3267, 17456, 13, 4706, 599, 29918, 29883, 353, 4842, 305, 29889, 3298, 359, 29898, 29876, 29899, 29896, 29892, 1583, 29889, 10892, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 29897, 13, 4706, 599, 29918, 29883, 29918, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 497, 29918, 29883, 29897, 13, 4706, 599, 29918, 4181, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 497, 29918, 29883, 29897, 13, 4706, 599, 29918, 29877, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 497, 29918, 29883, 29897, 13, 4706, 599, 29918, 29882, 29918, 29873, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 497, 29918, 29883, 29897, 13, 4706, 7934, 353, 1583, 29889, 2344, 29918, 10892, 580, 13, 4706, 396, 350, 3267, 1741, 338, 29871, 29900, 472, 931, 29871, 29900, 13, 4706, 3858, 29918, 16304, 353, 1583, 29889, 6026, 29890, 7503, 29892, 3858, 29918, 11762, 29961, 29900, 29962, 1822, 29879, 802, 29872, 911, 580, 13, 4706, 260, 29918, 16304, 353, 931, 29918, 11762, 29961, 29900, 29962, 13, 4706, 363, 474, 297, 3464, 29898, 29896, 29892, 29876, 1125, 13, 9651, 3858, 353, 1583, 29889, 6026, 29890, 7503, 29892, 3858, 29918, 11762, 29961, 29875, 29962, 1822, 29879, 802, 29872, 911, 580, 13, 9651, 260, 353, 931, 29918, 11762, 29961, 29875, 29962, 13, 9651, 7934, 353, 1583, 29889, 11333, 29918, 650, 29918, 10568, 29898, 1643, 29918, 16304, 29892, 3858, 29892, 260, 29918, 16304, 29892, 260, 29892, 7934, 29897, 13, 9651, 17117, 599, 29918, 29882, 29918, 29873, 29961, 29875, 29899, 29896, 29892, 584, 1402, 599, 29918, 29883, 29918, 29961, 29875, 29899, 29896, 29892, 584, 1402, 599, 29918, 29883, 29961, 29875, 29899, 29896, 29892, 584, 1402, 599, 29918, 4181, 29961, 29875, 29899, 29896, 29892, 584, 1402, 599, 29918, 29877, 29961, 29875, 29899, 29896, 29892, 584, 29962, 353, 7934, 13, 9651, 3858, 29918, 16304, 353, 3858, 13, 9651, 260, 29918, 16304, 353, 260, 13, 4706, 565, 11455, 29918, 4102, 29901, 13, 9651, 1812, 353, 29871, 29896, 13, 4706, 1683, 29901, 13, 9651, 1812, 353, 29871, 29900, 13, 4706, 3646, 353, 1583, 29889, 5182, 13, 4706, 298, 29918, 29873, 353, 599, 29918, 29882, 29918, 29873, 29961, 28060, 13018, 29896, 29892, 584, 29962, 13, 4706, 565, 298, 29918, 29873, 29889, 12181, 29961, 29900, 29962, 1405, 29871, 29900, 29901, 13, 9651, 301, 1117, 29881, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 29882, 29918, 29873, 29897, 13, 9651, 1840, 29896, 353, 313, 29880, 1117, 29881, 29961, 1643, 29918, 11762, 15625, 29896, 29974, 28060, 1125, 29899, 29896, 29962, 1275, 3646, 29892, 3646, 29899, 29896, 14664, 1188, 2141, 2083, 580, 13, 4706, 1683, 29901, 13, 9651, 1840, 29896, 353, 29871, 29900, 13, 4706, 274, 29918, 3601, 353, 599, 29918, 29883, 29918, 29961, 3601, 29918, 2230, 29918, 13140, 29892, 584, 29962, 718, 320, 13, 18884, 313, 497, 29918, 29883, 29961, 3601, 29918, 2230, 29918, 13140, 29892, 584, 29962, 448, 599, 29918, 29883, 29918, 29961, 3601, 29918, 2230, 29918, 13140, 29892, 584, 2314, 334, 320, 13, 18884, 4842, 305, 29889, 4548, 6278, 497, 29918, 4181, 29961, 3601, 29918, 2230, 29918, 13140, 29892, 584, 29962, 334, 313, 3601, 29918, 2230, 29918, 11762, 448, 931, 29918, 11762, 29961, 3601, 29918, 2230, 29918, 13140, 2314, 7503, 29892, 6213, 2314, 13, 4706, 298, 29918, 3601, 353, 599, 29918, 29877, 29961, 3601, 29918, 2230, 29918, 13140, 29892, 584, 29962, 334, 1583, 29889, 13161, 29882, 29898, 29883, 29918, 3601, 29897, 13, 4706, 301, 1117, 29881, 29918, 3601, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 29882, 29918, 3601, 29897, 13, 4706, 1840, 29906, 353, 301, 1117, 29881, 29918, 3601, 7503, 29892, 3646, 29899, 29896, 1822, 12676, 580, 334, 313, 2230, 29918, 11762, 14352, 29896, 29962, 448, 931, 29918, 11762, 29961, 29900, 2314, 13, 4706, 1480, 5081, 353, 1840, 29896, 448, 1840, 29906, 13, 13, 4706, 736, 448, 1188, 5081, 29892, 599, 29918, 29883, 29892, 599, 29918, 29883, 3383, 599, 29918, 4181, 29892, 599, 29918, 29877, 29892, 599, 29918, 29882, 29918, 29873, 29892, 298, 29918, 3601, 13, 13, 1678, 822, 6375, 29898, 1311, 29892, 3858, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 11455, 29918, 4102, 1125, 13, 4706, 1121, 353, 1583, 29889, 1188, 5081, 29898, 1643, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 11455, 29918, 4102, 29897, 13, 4706, 736, 1121, 29961, 29900, 1822, 2083, 580, 13, 13, 1678, 822, 6459, 29918, 449, 4926, 29898, 1311, 29892, 3858, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 1027, 29918, 2230, 29918, 12765, 29879, 29892, 931, 29918, 1688, 29892, 302, 29918, 11249, 1125, 13, 4706, 411, 4842, 305, 29889, 1217, 29918, 5105, 7295, 13, 9651, 1480, 5081, 29892, 599, 29918, 29883, 29892, 599, 29918, 29883, 3383, 599, 29918, 4181, 29892, 599, 29918, 29877, 29892, 599, 29918, 29882, 29918, 29873, 29892, 298, 29918, 3601, 353, 1583, 29889, 1188, 5081, 29898, 13, 462, 1678, 3858, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 7700, 29897, 13, 9651, 302, 353, 7431, 29898, 2230, 29918, 1688, 29897, 13, 9651, 286, 353, 7431, 29898, 2230, 29918, 11762, 29897, 13, 9651, 8158, 353, 4842, 305, 29889, 3298, 359, 29898, 29876, 29899, 29896, 29892, 4742, 29922, 1311, 29889, 10141, 29897, 13, 9651, 3646, 353, 1583, 29889, 5182, 13, 9651, 432, 353, 29871, 29900, 13, 9651, 18696, 353, 4842, 305, 29889, 3298, 359, 29898, 29876, 29918, 11249, 29892, 4742, 29922, 1311, 29889, 10141, 29897, 13, 9651, 363, 474, 297, 3464, 29898, 29876, 29899, 29896, 1125, 13, 18884, 260, 29918, 28060, 353, 931, 29918, 1688, 29961, 29875, 29962, 13, 18884, 260, 29918, 355, 353, 931, 29918, 1688, 29961, 29875, 29974, 29896, 29962, 13, 18884, 18696, 29889, 29590, 23538, 29873, 29918, 28060, 29892, 260, 29918, 355, 29897, 13, 18884, 396, 1284, 278, 937, 1741, 1156, 260, 29918, 28060, 13, 18884, 1550, 432, 529, 286, 322, 931, 29918, 11762, 29961, 29926, 29962, 5277, 260, 29918, 28060, 29901, 13, 462, 1678, 432, 4619, 29871, 29896, 13, 18884, 4974, 29898, 2230, 29918, 11762, 29961, 29926, 29962, 1405, 260, 29918, 28060, 29897, 13, 18884, 4974, 29898, 2230, 29918, 11762, 29961, 29926, 29899, 29896, 29962, 5277, 260, 29918, 28060, 29897, 13, 18884, 26832, 29881, 353, 29871, 29900, 13, 18884, 413, 353, 432, 13, 18884, 396, 8147, 365, 2269, 8424, 3538, 10768, 287, 491, 4959, 13, 18884, 1550, 413, 529, 286, 322, 931, 29918, 11762, 29961, 29895, 29899, 29896, 29962, 5277, 260, 29918, 355, 29901, 13, 462, 1678, 18696, 29918, 262, 29918, 3881, 353, 18696, 15625, 1372, 1405, 931, 29918, 11762, 29961, 29895, 29899, 29896, 2314, 669, 313, 1372, 5277, 931, 29918, 11762, 29961, 29895, 2314, 29962, 13, 462, 1678, 565, 7431, 29898, 1372, 29918, 262, 29918, 3881, 29897, 1405, 29871, 29900, 29901, 13, 462, 4706, 274, 353, 599, 29918, 29883, 29961, 29895, 29899, 29896, 29892, 17531, 13, 462, 4706, 274, 29918, 353, 599, 29918, 29883, 29918, 29961, 29895, 29899, 29896, 29892, 17531, 13, 462, 4706, 19471, 353, 599, 29918, 4181, 29961, 29895, 29899, 29896, 29892, 17531, 13, 462, 4706, 288, 353, 599, 29918, 29877, 29961, 29895, 29899, 29896, 29892, 17531, 13, 462, 4706, 274, 29918, 1372, 353, 274, 29918, 718, 313, 29883, 448, 274, 19925, 334, 4842, 305, 29889, 4548, 6278, 4181, 29961, 8516, 29892, 584, 29962, 334, 313, 1372, 29918, 262, 29918, 3881, 7503, 29892, 6213, 29962, 448, 931, 29918, 11762, 29961, 29895, 29899, 29896, 12622, 13, 462, 4706, 298, 29918, 1372, 353, 288, 334, 1583, 29889, 13161, 29882, 29898, 29883, 29918, 1372, 29897, 13, 462, 4706, 301, 1117, 29881, 29918, 497, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 29882, 29918, 1372, 29897, 13, 462, 4706, 301, 1117, 29881, 353, 301, 1117, 29881, 29918, 497, 7503, 29892, 5182, 29899, 29896, 29962, 13, 462, 4706, 26832, 29881, 4619, 301, 1117, 29881, 29889, 2083, 580, 847, 302, 29918, 11249, 13, 462, 1678, 413, 4619, 29871, 29896, 13, 18884, 26832, 29881, 334, 29922, 313, 29873, 29918, 355, 448, 260, 29918, 28060, 29897, 13, 18884, 8158, 29961, 29875, 29962, 353, 26832, 29881, 13, 9651, 301, 1117, 29881, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 497, 29918, 29882, 29918, 29873, 29897, 7503, 29899, 29896, 29962, 13, 9651, 301, 1117, 29881, 29918, 3601, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 29882, 29918, 3601, 29897, 13, 9651, 736, 8158, 29892, 448, 13628, 29892, 301, 1117, 29881, 29892, 301, 1117, 29881, 29918, 3601, 13, 13, 1678, 822, 6459, 29918, 449, 4926, 29918, 2611, 424, 29898, 1311, 29892, 3858, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 1027, 29918, 2230, 29918, 12765, 29879, 29892, 931, 29918, 1688, 1125, 13, 4706, 411, 4842, 305, 29889, 1217, 29918, 5105, 7295, 13, 9651, 1480, 5081, 29892, 599, 29918, 29883, 29892, 599, 29918, 29883, 3383, 599, 29918, 4181, 29892, 599, 29918, 29877, 29892, 599, 29918, 29882, 29918, 29873, 29892, 298, 29918, 3601, 353, 1583, 29889, 1188, 5081, 29898, 13, 462, 1678, 3858, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 7700, 29897, 13, 9651, 302, 353, 7431, 29898, 2230, 29918, 1688, 29897, 13, 9651, 286, 353, 7431, 29898, 2230, 29918, 11762, 29897, 13, 9651, 8158, 353, 4842, 305, 29889, 3298, 359, 29898, 29876, 29899, 29896, 29892, 4742, 29922, 1311, 29889, 10141, 29897, 13, 9651, 3646, 353, 1583, 29889, 5182, 13, 9651, 432, 353, 29871, 29900, 13, 9651, 363, 474, 297, 3464, 29898, 29876, 29899, 29896, 1125, 13, 18884, 260, 29918, 355, 353, 931, 29918, 1688, 29961, 29875, 29974, 29896, 29962, 13, 18884, 565, 260, 29918, 355, 1275, 29871, 29900, 29901, 13, 462, 1678, 432, 353, 29871, 29896, 13, 18884, 1683, 29901, 13, 462, 1678, 396, 1284, 278, 937, 1741, 472, 29914, 7045, 260, 29918, 355, 13, 462, 1678, 1550, 432, 529, 286, 322, 931, 29918, 11762, 29961, 29926, 29962, 529, 260, 29918, 355, 29901, 13, 462, 4706, 432, 4619, 29871, 29896, 13, 462, 1678, 4974, 29898, 2230, 29918, 11762, 29961, 29926, 29962, 6736, 260, 29918, 355, 29897, 13, 462, 1678, 396, 1833, 1741, 1434, 260, 29918, 355, 13, 462, 1678, 4974, 29898, 2230, 29918, 11762, 29961, 29926, 29899, 29896, 29962, 529, 260, 29918, 355, 29897, 13, 18884, 274, 353, 599, 29918, 29883, 29961, 29926, 29899, 29896, 29892, 17531, 13, 18884, 274, 29918, 353, 599, 29918, 29883, 29918, 29961, 29926, 29899, 29896, 29892, 17531, 13, 18884, 19471, 353, 599, 29918, 4181, 29961, 29926, 29899, 29896, 29892, 17531, 13, 18884, 288, 353, 599, 29918, 29877, 29961, 29926, 29899, 29896, 29892, 17531, 13, 18884, 274, 29918, 1372, 353, 274, 29918, 718, 313, 29883, 448, 274, 19925, 334, 4842, 305, 29889, 4548, 6278, 4181, 334, 313, 29873, 29918, 355, 448, 931, 29918, 11762, 29961, 29926, 29899, 29896, 12622, 13, 18884, 298, 29918, 1372, 353, 288, 334, 1583, 29889, 13161, 29882, 29898, 29883, 29918, 1372, 29897, 13, 18884, 301, 1117, 29881, 29918, 497, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 29882, 29918, 1372, 29897, 13, 18884, 301, 1117, 29881, 353, 301, 1117, 29881, 29918, 497, 29961, 5182, 29899, 29896, 29962, 13, 18884, 8158, 29961, 29875, 29962, 353, 301, 1117, 29881, 13, 9651, 301, 1117, 29881, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 497, 29918, 29882, 29918, 29873, 29897, 7503, 29899, 29896, 29962, 13, 9651, 301, 1117, 29881, 29918, 3601, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 29882, 29918, 3601, 29897, 13, 9651, 736, 8158, 29892, 448, 13628, 29892, 301, 1117, 29881, 29892, 301, 1117, 29881, 29918, 3601, 13, 13, 1990, 8125, 3260, 29901, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 7945, 29918, 842, 29892, 659, 29918, 842, 29892, 1243, 29918, 842, 29892, 4078, 29918, 2084, 29892, 6389, 1125, 13, 4706, 1583, 29889, 5085, 353, 6389, 13, 4706, 1583, 29889, 10141, 353, 6389, 29889, 10141, 13, 4706, 1583, 29889, 5182, 353, 6389, 29889, 5182, 13, 4706, 1583, 29889, 3601, 29918, 2230, 29918, 12765, 29879, 353, 6213, 13, 4706, 1583, 29889, 14968, 29918, 842, 29892, 931, 29918, 14968, 29892, 2302, 29918, 14968, 353, 1583, 29889, 19125, 29898, 14968, 29918, 842, 29892, 6389, 29889, 11249, 29918, 18056, 4926, 29897, 13, 4706, 1583, 29889, 791, 29918, 842, 29892, 931, 29918, 791, 29892, 2302, 29918, 791, 353, 1583, 29889, 19125, 29898, 791, 29918, 842, 29892, 6389, 29889, 11249, 29918, 18056, 4926, 29897, 13, 4706, 1583, 29889, 1688, 29918, 842, 29892, 17117, 903, 353, 1583, 29889, 19125, 29898, 1688, 29918, 842, 29892, 6389, 29889, 11249, 29918, 18056, 4926, 29897, 13, 4706, 1583, 29889, 2015, 18162, 353, 313, 2230, 29918, 14968, 29974, 2230, 29918, 791, 6802, 29898, 2798, 29918, 14968, 29974, 2798, 29918, 791, 29897, 13, 4706, 1583, 29889, 6008, 353, 29871, 29896, 13, 4706, 1583, 29889, 4299, 29918, 2084, 353, 4078, 29918, 2084, 13, 4706, 1583, 29889, 17281, 29918, 4102, 353, 6389, 29889, 17281, 29918, 4102, 13, 13, 1678, 822, 19012, 29898, 1311, 29892, 848, 29918, 842, 29892, 2999, 29892, 2923, 29918, 11249, 29918, 2311, 29922, 29896, 29900, 29900, 29892, 4943, 29922, 8824, 29892, 4331, 29922, 8516, 1125, 13, 4706, 565, 848, 29918, 842, 338, 6213, 29901, 13, 9651, 736, 6213, 29892, 6213, 29892, 6213, 13, 4706, 1962, 353, 5159, 13, 4706, 3001, 29918, 2230, 353, 29871, 29900, 13, 4706, 3001, 29918, 2798, 353, 29871, 29900, 13, 4706, 363, 19359, 297, 848, 29918, 842, 29901, 13, 9651, 3858, 29918, 11762, 353, 4842, 305, 29889, 20158, 29898, 13, 18884, 7442, 29889, 535, 29883, 2579, 403, 3552, 29961, 29900, 1402, 19359, 1839, 3502, 7464, 518, 29900, 2314, 511, 13, 18884, 26688, 29922, 7345, 305, 29889, 5426, 29892, 13, 18884, 4742, 29922, 1311, 29889, 10141, 13, 9651, 1723, 13, 9651, 931, 29918, 11762, 353, 4842, 305, 29889, 20158, 29898, 13, 18884, 7442, 29889, 535, 29883, 2579, 403, 3552, 29961, 11762, 1839, 2962, 2033, 1402, 19359, 1839, 2230, 7464, 518, 11762, 1839, 9847, 2033, 2314, 511, 13, 18884, 26688, 29922, 7345, 305, 29889, 7411, 29892, 13, 18884, 4742, 29922, 1311, 29889, 10141, 13, 9651, 1723, 13, 9651, 302, 353, 7431, 29898, 2230, 29918, 11762, 29897, 13, 9651, 260, 29900, 353, 19359, 1839, 2962, 2033, 13, 9651, 260, 29876, 353, 19359, 1839, 9847, 2033, 13, 9651, 3001, 29918, 2230, 4619, 260, 29876, 448, 260, 29900, 13, 9651, 3001, 29918, 2798, 4619, 313, 1643, 29918, 11762, 1275, 29871, 29896, 467, 2083, 580, 13, 9651, 565, 4943, 29901, 13, 18884, 1027, 29918, 2230, 29918, 11762, 353, 4842, 305, 29889, 279, 927, 29898, 29873, 29900, 29892, 260, 29876, 29892, 4331, 29892, 4742, 29922, 1311, 29889, 10141, 29897, 13, 18884, 1027, 29918, 2230, 29918, 13140, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 3601, 29918, 2230, 29918, 11762, 29892, 26688, 29922, 7345, 305, 29889, 5426, 29897, 13, 9651, 1683, 29901, 13, 18884, 1027, 29918, 2230, 29918, 11762, 353, 931, 29918, 11762, 29889, 1482, 29918, 6310, 29898, 29876, 334, 2999, 29897, 13, 18884, 1027, 29918, 2230, 29918, 11762, 29889, 29590, 23538, 29873, 29900, 29892, 260, 29876, 29897, 13, 18884, 1027, 29918, 2230, 29918, 13140, 353, 3858, 29918, 11762, 29889, 1482, 29918, 3298, 359, 29898, 29876, 334, 2999, 29897, 13, 9651, 363, 432, 297, 3464, 29898, 29876, 448, 29871, 29896, 1125, 13, 18884, 1027, 29918, 2230, 29918, 13140, 15625, 3601, 29918, 2230, 29918, 11762, 1405, 931, 29918, 11762, 29961, 29926, 2314, 669, 13, 462, 632, 313, 3601, 29918, 2230, 29918, 11762, 5277, 931, 29918, 11762, 29961, 29926, 718, 29871, 29896, 2314, 13, 462, 632, 4514, 353, 432, 13, 9651, 565, 1583, 29889, 3601, 29918, 2230, 29918, 12765, 29879, 338, 6213, 29901, 13, 18884, 5694, 353, 1027, 29918, 2230, 29918, 11762, 29889, 1482, 29918, 6310, 29898, 12765, 29918, 11249, 29918, 2311, 29897, 13, 18884, 5694, 29889, 735, 1112, 2556, 23538, 29896, 29897, 13, 18884, 1583, 29889, 3601, 29918, 2230, 29918, 12765, 29879, 29892, 903, 353, 4842, 305, 29889, 6605, 29898, 7382, 29897, 13, 9651, 565, 19359, 1839, 2230, 29918, 1688, 2033, 338, 6213, 29901, 13, 18884, 931, 29918, 1688, 353, 6213, 13, 9651, 1683, 29901, 13, 18884, 931, 29918, 1688, 353, 4842, 305, 29889, 20158, 29898, 13, 462, 1678, 19359, 1839, 2230, 29918, 1688, 7464, 13, 462, 1678, 26688, 29922, 7345, 305, 29889, 7411, 29892, 13, 462, 1678, 4742, 29922, 1311, 29889, 10141, 29897, 13, 9651, 565, 19359, 1839, 1643, 29918, 1688, 2033, 338, 6213, 29901, 13, 18884, 3858, 29918, 1688, 353, 6213, 13, 9651, 1683, 29901, 13, 18884, 3858, 29918, 1688, 353, 4842, 305, 29889, 20158, 29898, 13, 462, 1678, 19359, 1839, 1643, 29918, 1688, 7464, 13, 462, 1678, 4742, 29922, 1311, 29889, 10141, 29892, 13, 18884, 1723, 13, 9651, 2944, 353, 426, 13, 18884, 525, 333, 2396, 19359, 1839, 333, 7464, 13, 18884, 525, 1643, 29918, 11762, 2396, 3858, 29918, 11762, 29892, 13, 18884, 525, 2230, 29918, 11762, 2396, 931, 29918, 11762, 29892, 13, 18884, 525, 3601, 29918, 2230, 29918, 11762, 2396, 1027, 29918, 2230, 29918, 11762, 29892, 13, 18884, 525, 3601, 29918, 2230, 29918, 13140, 2396, 1027, 29918, 2230, 29918, 13140, 29892, 13, 18884, 525, 3601, 29918, 2230, 29918, 12765, 29879, 29915, 584, 1583, 29889, 3601, 29918, 2230, 29918, 12765, 29879, 29892, 13, 18884, 525, 2230, 29918, 1688, 2396, 931, 29918, 1688, 29892, 13, 18884, 525, 1643, 29918, 1688, 2396, 3858, 29918, 1688, 29892, 13, 18884, 525, 2892, 29918, 29916, 2396, 19359, 1839, 2892, 29918, 29916, 7464, 13, 18884, 525, 29873, 29918, 29916, 2396, 19359, 1839, 29873, 29918, 29916, 7464, 13, 9651, 500, 13, 9651, 1962, 29889, 4397, 29898, 667, 29897, 13, 4706, 736, 1962, 29892, 3001, 29918, 2230, 29892, 3001, 29918, 2798, 13, 13, 1678, 822, 7945, 29918, 650, 29918, 1022, 2878, 29898, 1311, 29892, 1904, 29892, 7945, 29918, 842, 29892, 5994, 3950, 1125, 13, 4706, 1480, 29918, 19207, 353, 1583, 29889, 5085, 29889, 1188, 29918, 19207, 13, 4706, 3001, 29918, 6758, 353, 29871, 29900, 13, 4706, 3001, 29918, 1949, 29918, 11762, 353, 7431, 29898, 14968, 29918, 842, 29897, 13, 4706, 1369, 29918, 2230, 353, 931, 29889, 2230, 580, 13, 4706, 363, 19359, 29918, 13140, 29892, 2944, 297, 26985, 29898, 14968, 29918, 842, 1125, 13, 9651, 5994, 3950, 29889, 9171, 29918, 5105, 580, 13, 9651, 6410, 353, 1904, 29898, 667, 1839, 1643, 29918, 11762, 7464, 13, 462, 308, 2944, 1839, 2230, 29918, 11762, 7464, 13, 462, 308, 2944, 1839, 3601, 29918, 2230, 29918, 11762, 7464, 13, 462, 308, 2944, 1839, 3601, 29918, 2230, 29918, 13140, 7464, 13, 462, 308, 7700, 29897, 13, 9651, 6410, 29889, 1627, 1328, 580, 13, 9651, 5994, 3950, 29889, 10568, 580, 13, 9651, 3001, 29918, 6758, 4619, 6410, 29889, 667, 580, 13, 9651, 565, 19359, 29918, 13140, 1273, 1480, 29918, 19207, 1275, 29871, 29900, 322, 19359, 29918, 13140, 1405, 29871, 29900, 29901, 13, 18884, 3151, 29918, 6758, 353, 3001, 29918, 6758, 847, 1480, 29918, 19207, 13, 18884, 560, 28170, 353, 931, 29889, 2230, 580, 448, 1369, 29918, 2230, 13, 18884, 12183, 29889, 3888, 877, 29989, 12365, 29945, 29881, 6822, 25641, 29945, 29881, 29913, 19359, 29879, 891, 525, 13, 462, 632, 525, 1516, 29914, 11762, 12365, 29945, 29889, 29906, 29888, 29913, 891, 525, 13, 462, 632, 525, 6758, 12365, 29945, 29889, 29906, 29888, 29913, 891, 4286, 4830, 29898, 13, 462, 462, 19359, 29918, 13140, 29892, 3001, 29918, 1949, 29918, 11762, 29892, 13, 462, 462, 560, 28170, 334, 29871, 29896, 29900, 29900, 29900, 847, 1480, 29918, 19207, 29892, 3151, 29918, 6758, 876, 13, 18884, 3001, 29918, 6758, 353, 29871, 29900, 13, 18884, 1369, 29918, 2230, 353, 931, 29889, 2230, 580, 13, 13, 1678, 822, 7945, 29898, 1311, 29892, 1904, 29892, 21502, 12168, 29922, 8516, 29892, 671, 29918, 497, 29918, 1272, 29922, 8824, 29892, 1024, 543, 4299, 29889, 415, 29908, 1125, 13, 4706, 1900, 29918, 791, 29918, 6758, 353, 6213, 13, 4706, 5994, 3950, 353, 5994, 29889, 3253, 314, 29898, 4299, 29889, 16744, 3285, 13, 462, 1669, 301, 29878, 29922, 1311, 29889, 5085, 29889, 29212, 29897, 13, 4706, 565, 21502, 12168, 338, 6213, 29901, 13, 9651, 4688, 29918, 9847, 353, 5852, 13, 9651, 21502, 12168, 353, 1583, 29889, 5085, 29889, 1022, 2878, 29879, 13, 4706, 1683, 29901, 13, 9651, 4688, 29918, 9847, 353, 7700, 13, 4706, 363, 21502, 305, 297, 3464, 29898, 29896, 29892, 21502, 12168, 29974, 29896, 1125, 13, 9651, 21502, 305, 29918, 2962, 29918, 2230, 353, 931, 29889, 2230, 580, 13, 9651, 565, 671, 29918, 497, 29918, 1272, 29901, 13, 18884, 7945, 29918, 842, 353, 1583, 29889, 14968, 29918, 842, 718, 1583, 29889, 791, 29918, 842, 13, 9651, 1683, 29901, 13, 18884, 7945, 29918, 842, 353, 1583, 29889, 14968, 29918, 842, 13, 9651, 1583, 29889, 14968, 29918, 650, 29918, 1022, 2878, 29898, 4299, 29892, 7945, 29918, 842, 29892, 5994, 3950, 29897, 13, 9651, 659, 29918, 6758, 353, 1583, 29889, 24219, 403, 29898, 4299, 29897, 13, 9651, 12183, 29889, 3888, 877, 29899, 29915, 334, 29871, 29947, 29929, 29897, 13, 9651, 12183, 29889, 3888, 877, 29989, 1095, 310, 21502, 305, 12365, 29941, 29881, 29913, 891, 931, 29901, 12365, 29945, 29889, 29906, 29888, 29913, 29879, 891, 525, 13, 462, 308, 525, 3084, 6410, 12365, 29888, 29913, 891, 4286, 4830, 29898, 13, 462, 632, 21502, 305, 29892, 313, 2230, 29889, 2230, 580, 448, 21502, 305, 29918, 2962, 29918, 2230, 511, 13, 462, 632, 659, 29918, 6758, 876, 13, 9651, 12183, 29889, 3888, 877, 29899, 29915, 334, 29871, 29947, 29929, 29897, 13, 9651, 565, 1900, 29918, 791, 29918, 6758, 338, 6213, 470, 659, 29918, 6758, 529, 1900, 29918, 791, 29918, 6758, 29901, 13, 18884, 1583, 29889, 7620, 29918, 4299, 29898, 4299, 29892, 1024, 29897, 13, 18884, 1900, 29918, 791, 29918, 6758, 353, 659, 29918, 6758, 13, 9651, 25342, 4688, 29918, 9847, 29901, 13, 18884, 21502, 12168, 353, 21502, 305, 448, 29871, 29896, 13, 18884, 2867, 13, 4706, 565, 1900, 29918, 791, 29918, 6758, 29901, 13, 9651, 1583, 29889, 1359, 29918, 4299, 29898, 4299, 29892, 1024, 29897, 13, 4706, 736, 1900, 29918, 791, 29918, 6758, 29892, 21502, 12168, 13, 13, 1678, 822, 14707, 29898, 1311, 29892, 1904, 1125, 13, 4706, 3001, 29918, 6758, 353, 29871, 29900, 13, 4706, 363, 19359, 29918, 13140, 29892, 2944, 297, 26985, 29898, 1311, 29889, 791, 29918, 842, 1125, 13, 9651, 6410, 353, 1904, 29898, 13, 18884, 2944, 1839, 1643, 29918, 11762, 7464, 13, 18884, 2944, 1839, 2230, 29918, 11762, 7464, 13, 18884, 2944, 1839, 3601, 29918, 2230, 29918, 11762, 7464, 13, 18884, 2944, 1839, 3601, 29918, 2230, 29918, 13140, 7464, 13, 18884, 1583, 29889, 17281, 29918, 4102, 13, 9651, 1723, 13, 9651, 3001, 29918, 6758, 4619, 6410, 29889, 667, 580, 13, 4706, 736, 3001, 29918, 6758, 13, 13, 1678, 822, 4188, 22342, 29898, 1311, 29892, 1904, 29892, 8783, 1125, 13, 4706, 3001, 29918, 6758, 353, 29871, 29900, 13, 4706, 363, 19359, 29918, 13140, 29892, 2944, 297, 26985, 29898, 24713, 1125, 13, 9651, 6410, 353, 1904, 29898, 13, 18884, 2944, 1839, 1643, 29918, 11762, 7464, 13, 18884, 2944, 1839, 2230, 29918, 11762, 7464, 13, 18884, 2944, 1839, 3601, 29918, 2230, 29918, 11762, 7464, 13, 18884, 2944, 1839, 3601, 29918, 2230, 29918, 13140, 7464, 13, 18884, 1583, 29889, 17281, 29918, 4102, 13, 9651, 1723, 13, 9651, 3001, 29918, 6758, 4619, 6410, 29889, 667, 580, 13, 4706, 736, 3001, 29918, 6758, 13, 13, 1678, 822, 6459, 29918, 449, 4926, 29898, 1311, 29892, 1904, 29892, 4744, 29922, 8824, 29892, 14426, 29922, 8824, 1125, 13, 4706, 1480, 29918, 19207, 353, 1583, 29889, 5085, 29889, 1188, 29918, 19207, 13, 4706, 2582, 353, 5159, 13, 4706, 302, 353, 7431, 29898, 1311, 29889, 1688, 29918, 842, 29897, 13, 4706, 1369, 29918, 2230, 353, 931, 29889, 2230, 580, 13, 4706, 363, 19359, 29918, 13140, 29892, 2944, 297, 26985, 29898, 1311, 29889, 1688, 29918, 842, 1125, 13, 9651, 565, 14426, 29901, 13, 18884, 8158, 29918, 290, 790, 29892, 8158, 29918, 2055, 790, 29892, 301, 1117, 29881, 29892, 301, 1117, 29881, 29918, 3601, 353, 1904, 29889, 4801, 522, 29918, 449, 4926, 29918, 2611, 424, 29898, 13, 462, 1678, 2944, 1839, 1643, 29918, 11762, 7464, 13, 462, 1678, 2944, 1839, 2230, 29918, 11762, 7464, 13, 462, 1678, 2944, 1839, 3601, 29918, 2230, 29918, 11762, 7464, 13, 462, 1678, 2944, 1839, 3601, 29918, 2230, 29918, 13140, 7464, 13, 462, 1678, 2944, 1839, 3601, 29918, 2230, 29918, 12765, 29879, 7464, 13, 462, 1678, 2944, 1839, 2230, 29918, 1688, 7464, 13, 18884, 1723, 13, 9651, 1683, 29901, 13, 18884, 8158, 29918, 290, 790, 29892, 8158, 29918, 2055, 790, 29892, 301, 1117, 29881, 29892, 301, 1117, 29881, 29918, 3601, 353, 1904, 29889, 4801, 522, 29918, 449, 4926, 29898, 13, 462, 1678, 2944, 1839, 1643, 29918, 11762, 7464, 13, 462, 1678, 2944, 1839, 2230, 29918, 11762, 7464, 13, 462, 1678, 2944, 1839, 3601, 29918, 2230, 29918, 11762, 7464, 13, 462, 1678, 2944, 1839, 3601, 29918, 2230, 29918, 13140, 7464, 13, 462, 1678, 2944, 1839, 3601, 29918, 2230, 29918, 12765, 29879, 7464, 13, 462, 1678, 2944, 1839, 2230, 29918, 1688, 7464, 13, 462, 1678, 302, 29918, 11249, 29922, 29896, 29900, 29900, 29900, 13, 18884, 1723, 13, 9651, 4489, 353, 10518, 29889, 17271, 29898, 7514, 287, 21533, 3319, 13, 18884, 525, 11762, 2396, 19359, 29918, 13140, 29892, 13, 18884, 525, 2230, 2396, 2944, 1839, 2230, 29918, 1688, 13359, 23749, 580, 29961, 29896, 29901, 1402, 13, 18884, 525, 13628, 29918, 290, 790, 2396, 8158, 29918, 290, 790, 29889, 23749, 3285, 13, 18884, 525, 13628, 29918, 2055, 790, 2396, 8158, 29918, 2055, 790, 29889, 23749, 3285, 13, 18884, 525, 1643, 2396, 2944, 1839, 1643, 29918, 1688, 13359, 23749, 3285, 13, 9651, 500, 876, 13, 9651, 565, 2944, 1839, 333, 2033, 338, 6213, 29901, 13, 18884, 4489, 29889, 7851, 29898, 29900, 29892, 525, 333, 742, 19359, 29918, 13140, 29974, 29896, 29897, 13, 9651, 1683, 29901, 13, 18884, 4489, 29889, 7851, 29898, 29900, 29892, 525, 333, 742, 2944, 1839, 333, 11287, 13, 9651, 2582, 29889, 4397, 29898, 2176, 29897, 13, 9651, 565, 313, 11762, 29918, 13140, 29974, 29896, 29897, 1273, 1480, 29918, 19207, 1275, 29871, 29900, 29901, 13, 18884, 12183, 29889, 3888, 29898, 29888, 29915, 12881, 3276, 6459, 292, 714, 27801, 297, 19359, 426, 11762, 29918, 13140, 29974, 29896, 6822, 29912, 29876, 29913, 297, 426, 29898, 2230, 29889, 2230, 580, 29899, 2962, 29918, 2230, 1125, 29889, 29906, 29888, 29913, 29879, 1495, 13, 18884, 1369, 29918, 2230, 353, 931, 29889, 2230, 580, 13, 4706, 2582, 353, 10518, 29889, 17685, 29898, 9902, 29897, 13, 4706, 736, 2582, 13, 13, 1678, 822, 4078, 29918, 4299, 29898, 1311, 29892, 1904, 29892, 1024, 1125, 13, 4706, 411, 1722, 29898, 359, 29889, 2084, 29889, 7122, 29898, 1311, 29889, 4299, 29918, 2084, 29892, 1024, 511, 525, 29893, 29890, 1495, 408, 285, 29901, 13, 9651, 4842, 305, 29889, 7620, 29898, 4299, 29889, 3859, 29918, 8977, 3285, 285, 29897, 13, 13, 1678, 822, 2254, 29918, 4299, 29898, 1311, 29892, 1904, 29892, 1024, 1125, 13, 4706, 411, 1722, 29898, 359, 29889, 2084, 29889, 7122, 29898, 1311, 29889, 4299, 29918, 2084, 29892, 1024, 511, 525, 6050, 1495, 408, 285, 29901, 13, 9651, 1904, 29889, 1359, 29918, 3859, 29918, 8977, 29898, 7345, 305, 29889, 1359, 29898, 29888, 876, 13, 13, 1990, 15228, 1469, 10036, 29901, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 7945, 29918, 842, 29892, 1243, 29918, 842, 29892, 3858, 29918, 2311, 29892, 3646, 29922, 29896, 1125, 13, 4706, 1583, 29889, 1643, 29918, 2311, 353, 3858, 29918, 2311, 13, 4706, 1583, 29889, 5182, 353, 3646, 13, 4706, 302, 353, 7431, 29898, 14968, 29918, 842, 29897, 13, 4706, 302, 29918, 14968, 353, 938, 29898, 29876, 29930, 29900, 29889, 29947, 29897, 13, 4706, 302, 29918, 14968, 29918, 791, 353, 302, 13, 4706, 1583, 29889, 14968, 29918, 842, 353, 1583, 29889, 13441, 29898, 14968, 29918, 842, 7503, 29876, 29918, 14968, 2314, 13, 4706, 1583, 29889, 791, 29918, 842, 353, 1583, 29889, 13441, 29898, 14968, 29918, 842, 29961, 29876, 29918, 14968, 29901, 29876, 29918, 14968, 29918, 791, 2314, 13, 4706, 1583, 29889, 1688, 29918, 842, 353, 1583, 29889, 13441, 29898, 1688, 29918, 842, 29897, 13, 13, 1678, 822, 3588, 29898, 1311, 29892, 19359, 29879, 1125, 13, 4706, 565, 19359, 29879, 338, 6213, 29901, 13, 9651, 736, 6213, 13, 4706, 286, 29918, 29873, 353, 1583, 29889, 5182, 718, 29871, 29896, 13, 4706, 822, 903, 13441, 29898, 11762, 1125, 13, 9651, 19359, 29918, 333, 353, 19359, 29889, 657, 877, 333, 1495, 13, 9651, 931, 29918, 29883, 353, 19359, 1839, 2230, 29918, 4703, 2033, 13, 9651, 2791, 29918, 29883, 353, 19359, 1839, 3502, 29918, 4703, 2033, 13, 9651, 1369, 353, 19359, 1839, 2962, 2033, 13, 9651, 5040, 353, 19359, 1839, 9847, 2033, 13, 9651, 931, 29918, 29873, 353, 19359, 1839, 2230, 29918, 5182, 2033, 13, 9651, 2791, 29918, 29873, 353, 19359, 1839, 3502, 29918, 5182, 2033, 13, 9651, 4974, 29898, 4422, 29889, 275, 29918, 24582, 29898, 2230, 29918, 29883, 876, 13, 9651, 4974, 29898, 4422, 29889, 275, 29918, 24582, 29898, 2230, 29918, 29873, 876, 13, 9651, 931, 353, 5159, 13, 9651, 2791, 353, 5159, 13, 9651, 474, 29918, 29883, 353, 29871, 29900, 13, 9651, 474, 29918, 29873, 353, 29871, 29900, 13, 9651, 302, 29918, 29883, 353, 7431, 29898, 2230, 29918, 29883, 29897, 13, 9651, 302, 29918, 29873, 353, 7431, 29898, 2230, 29918, 29873, 29897, 13, 9651, 4974, 29898, 29876, 29918, 29883, 1275, 7431, 29898, 3502, 29918, 29883, 876, 13, 9651, 4974, 29898, 29876, 29918, 29873, 1275, 7431, 29898, 3502, 29918, 29873, 876, 13, 9651, 1550, 474, 29918, 29883, 529, 302, 29918, 29883, 322, 474, 29918, 29873, 529, 302, 29918, 29873, 29901, 13, 18884, 565, 931, 29918, 29873, 29961, 29875, 29918, 29873, 29962, 5277, 931, 29918, 29883, 29961, 29875, 29918, 29883, 5387, 13, 462, 1678, 931, 29889, 4397, 29898, 2230, 29918, 29873, 29961, 29875, 29918, 29873, 2314, 13, 462, 1678, 2791, 29889, 4397, 29898, 3502, 29918, 29873, 29961, 29875, 29918, 29873, 2314, 13, 462, 1678, 474, 29918, 29873, 4619, 29871, 29896, 13, 18884, 1683, 29901, 13, 462, 1678, 931, 29889, 4397, 29898, 2230, 29918, 29883, 29961, 29875, 29918, 29883, 2314, 13, 462, 1678, 2791, 29889, 4397, 29898, 29885, 29918, 29873, 718, 2791, 29918, 29883, 29961, 29875, 29918, 29883, 2314, 13, 462, 1678, 474, 29918, 29883, 4619, 29871, 29896, 13, 9651, 565, 474, 29918, 29873, 529, 302, 29918, 29873, 29901, 13, 18884, 931, 29889, 21843, 29898, 2230, 29918, 29873, 29961, 29875, 29918, 29873, 29901, 2314, 13, 18884, 2791, 29889, 21843, 29898, 3502, 29918, 29873, 29961, 29875, 29918, 29873, 29901, 2314, 13, 9651, 565, 474, 29918, 29883, 529, 302, 29918, 29883, 29901, 13, 18884, 931, 29889, 21843, 29898, 2230, 29918, 29883, 29961, 29875, 29918, 29883, 29901, 2314, 13, 18884, 2791, 29889, 21843, 29898, 29885, 29918, 29873, 718, 2791, 29918, 29883, 29961, 29875, 29918, 29883, 29901, 2314, 13, 9651, 736, 426, 13, 18884, 525, 333, 2396, 19359, 29918, 333, 29892, 13, 18884, 525, 2230, 2396, 931, 29892, 13, 18884, 525, 3502, 2396, 2791, 29892, 13, 18884, 525, 2962, 2396, 1369, 29892, 13, 18884, 525, 9847, 2396, 5040, 29892, 13, 18884, 525, 2230, 29918, 1688, 2396, 19359, 29889, 657, 877, 2230, 29918, 1688, 5477, 13, 18884, 525, 1643, 29918, 1688, 2396, 19359, 29889, 657, 877, 1643, 29918, 1688, 5477, 13, 18884, 525, 2892, 29918, 29916, 2396, 19359, 29889, 657, 877, 2892, 29918, 29916, 5477, 13, 18884, 525, 29873, 29918, 29916, 2396, 19359, 29889, 657, 877, 29873, 29918, 29916, 5477, 13, 9651, 500, 13, 4706, 736, 23160, 13441, 29898, 11762, 29897, 363, 19359, 297, 19359, 29879, 29962, 13, 13, 1990, 10050, 2677, 1469, 10036, 29898, 2677, 1469, 10036, 1125, 13, 1678, 822, 3588, 29898, 1311, 29892, 19359, 29879, 1125, 13, 4706, 565, 19359, 29879, 338, 6213, 29901, 13, 9651, 736, 6213, 13, 4706, 822, 903, 13441, 29898, 11762, 1125, 13, 9651, 19359, 29918, 333, 353, 19359, 29889, 657, 877, 333, 1495, 13, 9651, 1369, 353, 19359, 1839, 2962, 2033, 13, 9651, 5040, 353, 19359, 1839, 9847, 2033, 13, 9651, 931, 29918, 29873, 353, 19359, 1839, 2230, 29918, 5182, 2033, 13, 9651, 2791, 29918, 29873, 353, 19359, 1839, 3502, 29918, 5182, 2033, 13, 9651, 4974, 29898, 4422, 29889, 275, 29918, 24582, 29898, 2230, 29918, 29873, 876, 13, 9651, 4974, 29898, 2435, 29898, 2230, 29918, 29873, 29897, 1275, 7431, 29898, 3502, 29918, 29873, 876, 13, 9651, 736, 426, 13, 18884, 525, 333, 2396, 19359, 29918, 333, 29892, 13, 18884, 525, 2230, 2396, 931, 29918, 29873, 29892, 13, 18884, 525, 3502, 2396, 2791, 29918, 29873, 29892, 13, 18884, 525, 2962, 2396, 1369, 29892, 13, 18884, 525, 9847, 2396, 5040, 29892, 13, 18884, 525, 2230, 29918, 1688, 2396, 19359, 29889, 657, 877, 2230, 29918, 1688, 5477, 13, 18884, 525, 1643, 29918, 1688, 2396, 19359, 29889, 657, 877, 1643, 29918, 1688, 5477, 13, 18884, 525, 2892, 29918, 29916, 2396, 19359, 29889, 657, 877, 2892, 29918, 29916, 5477, 13, 18884, 525, 29873, 29918, 29916, 2396, 19359, 29889, 657, 877, 29873, 29918, 29916, 5477, 13, 9651, 500, 13, 4706, 736, 23160, 13441, 29898, 11762, 29897, 363, 19359, 297, 19359, 29879, 29962, 13, 13, 1990, 853, 1643, 2677, 1469, 10036, 29898, 2677, 1469, 10036, 1125, 13, 1678, 822, 3588, 29898, 1311, 29892, 19359, 29879, 1125, 13, 4706, 565, 19359, 29879, 338, 6213, 29901, 13, 9651, 736, 6213, 13, 4706, 286, 29918, 29873, 353, 1583, 29889, 5182, 718, 29871, 29896, 13, 4706, 822, 903, 13441, 29898, 11762, 1125, 13, 9651, 19359, 29918, 333, 353, 19359, 29889, 657, 877, 333, 1495, 13, 9651, 931, 29918, 29883, 353, 19359, 1839, 2230, 29918, 4703, 2033, 13, 9651, 2791, 29918, 29883, 353, 19359, 1839, 3502, 29918, 4703, 2033, 13, 9651, 1369, 353, 19359, 1839, 2962, 2033, 13, 9651, 5040, 353, 19359, 1839, 9847, 2033, 13, 9651, 931, 29918, 29873, 353, 19359, 1839, 2230, 29918, 5182, 2033, 13, 9651, 2791, 29918, 29873, 353, 19359, 1839, 3502, 29918, 5182, 2033, 13, 9651, 4974, 29898, 4422, 29889, 275, 29918, 24582, 29898, 2230, 29918, 29883, 876, 13, 9651, 4974, 29898, 4422, 29889, 275, 29918, 24582, 29898, 2230, 29918, 29873, 876, 13, 9651, 931, 353, 5159, 13, 9651, 2791, 353, 5159, 13, 9651, 474, 29918, 29883, 353, 29871, 29900, 13, 9651, 474, 29918, 29873, 353, 29871, 29900, 13, 9651, 302, 29918, 29883, 353, 7431, 29898, 2230, 29918, 29883, 29897, 13, 9651, 302, 29918, 29873, 353, 7431, 29898, 2230, 29918, 29873, 29897, 13, 9651, 4974, 29898, 29876, 29918, 29883, 1275, 7431, 29898, 3502, 29918, 29883, 876, 13, 9651, 4974, 29898, 29876, 29918, 29873, 1275, 7431, 29898, 3502, 29918, 29873, 876, 13, 9651, 1550, 474, 29918, 29883, 529, 302, 29918, 29883, 322, 474, 29918, 29873, 529, 302, 29918, 29873, 29901, 13, 18884, 565, 931, 29918, 29873, 29961, 29875, 29918, 29873, 29962, 5277, 931, 29918, 29883, 29961, 29875, 29918, 29883, 5387, 13, 462, 1678, 931, 29889, 4397, 29898, 2230, 29918, 29873, 29961, 29875, 29918, 29873, 2314, 13, 462, 1678, 2791, 29889, 4397, 29898, 3502, 29918, 29873, 29961, 29875, 29918, 29873, 2314, 13, 462, 1678, 474, 29918, 29873, 4619, 29871, 29896, 13, 18884, 1683, 29901, 13, 462, 1678, 931, 29889, 4397, 29898, 2230, 29918, 29883, 29961, 29875, 29918, 29883, 2314, 13, 462, 1678, 2791, 29889, 4397, 29898, 29885, 29918, 29873, 718, 2791, 29918, 29883, 29961, 29875, 29918, 29883, 2314, 13, 462, 1678, 474, 29918, 29883, 4619, 29871, 29896, 13, 9651, 565, 474, 29918, 29873, 529, 302, 29918, 29873, 29901, 13, 18884, 931, 29889, 21843, 29898, 2230, 29918, 29873, 29961, 29875, 29918, 29873, 29901, 2314, 13, 18884, 2791, 29889, 21843, 29898, 3502, 29918, 29873, 29961, 29875, 29918, 29873, 29901, 2314, 13, 9651, 565, 474, 29918, 29883, 529, 302, 29918, 29883, 29901, 13, 18884, 931, 29889, 21843, 29898, 2230, 29918, 29883, 29961, 29875, 29918, 29883, 29901, 2314, 13, 18884, 2791, 29889, 21843, 29898, 29885, 29918, 29873, 718, 2791, 29918, 29883, 29961, 29875, 29918, 29883, 29901, 2314, 13, 9651, 4974, 29898, 11762, 29889, 657, 877, 2230, 29918, 1688, 1495, 338, 6213, 29897, 13, 9651, 4974, 29898, 11762, 29889, 657, 877, 1643, 29918, 1688, 1495, 338, 6213, 29897, 13, 9651, 565, 1369, 1275, 931, 29918, 29873, 29961, 29900, 5387, 13, 18884, 396, 565, 8665, 411, 263, 3646, 1741, 13, 18884, 396, 925, 671, 372, 408, 278, 1369, 13, 18884, 931, 29918, 1688, 353, 7442, 29889, 2378, 29898, 2230, 29918, 29873, 29897, 13, 9651, 1683, 29901, 13, 18884, 396, 6467, 788, 263, 1369, 13, 18884, 931, 29918, 1688, 353, 7442, 29889, 2378, 29898, 9302, 29889, 535, 29883, 2579, 403, 3552, 29961, 2962, 1402, 931, 29918, 29873, 4961, 13, 9651, 396, 937, 1741, 17997, 278, 1369, 322, 338, 451, 9528, 13, 9651, 3858, 29918, 1688, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 2230, 29918, 1688, 29961, 29896, 29901, 2314, 13, 9651, 736, 426, 13, 18884, 525, 333, 2396, 19359, 29918, 333, 29892, 13, 18884, 525, 2230, 2396, 931, 29892, 13, 18884, 525, 3502, 2396, 2791, 29892, 13, 18884, 525, 2962, 2396, 1369, 29892, 13, 18884, 525, 9847, 2396, 5040, 29892, 13, 18884, 525, 2230, 29918, 1688, 2396, 931, 29918, 1688, 29892, 13, 18884, 525, 1643, 29918, 1688, 2396, 3858, 29918, 1688, 29892, 13, 18884, 525, 2892, 29918, 29916, 2396, 6213, 29892, 13, 18884, 525, 29873, 29918, 29916, 2396, 6213, 29892, 13, 9651, 500, 13, 4706, 736, 23160, 13441, 29898, 11762, 29897, 363, 19359, 297, 19359, 29879, 29962, 13, 2 ]
pages/product_page.py	edwlad/stepik-test-final	0	168240	from pages.base_page import BasePage from pages.locators import ProductPageLocators class ProductPage(BasePage): pass # alert = self.browser.switch_to.alert # alert.accept()	[ 1, 515, 6515, 29889, 3188, 29918, 3488, 1053, 7399, 5074, 13, 3166, 6515, 29889, 2029, 4097, 1053, 10969, 5074, 3524, 4097, 13, 13, 13, 1990, 10969, 5074, 29898, 5160, 5074, 1125, 13, 1678, 1209, 13, 1678, 396, 6655, 353, 1583, 29889, 15965, 29889, 15123, 29918, 517, 29889, 12888, 13, 1678, 396, 6655, 29889, 16044, 580, 13, 2 ]
txml.py	jdelgit/txml	0	29478	<reponame>jdelgit/txml<filename>txml.py from xml.etree.ElementTree import iterparse, ParseError from io import StringIO from os.path import isfile from re import findall class XmlParser: def __init__(self, source=""): self.source = source self.proces_file = False self.use_io = False self.encoding = 'UTF-8' self.namespaces = {} self.namespace_present = False self._source_check() # see also _get_encoding, _get_namespaces def _source_check(self): """ [Function checkes whether the source input is a existing xml file or a xml syle formatted string] """ _extension = self.source[-3:] if _extension == "xml" or _extension == "xsd": if isfile(self.source): self.proces_file = True self._get_encoding() self._get_namespaces() else: print("File not found {}".format(self.source)) else: context_test = iterparse(StringIO("""{}""".format(self.source))) try: context_test.__next__() del context_test self.proces_file = True self.use_io = True self._get_encoding() self._get_namespaces() except ParseError: del context_test print("Input is not in supported Xml format") def _get_encoding(self): if self.proces_file and not self.use_io: with open(self.source, 'r') as f: l = f.readline() if 'encoding' in l: match = findall('(encoding=.\?)', l) encoding = match[0].split('=')[1].replace( '?', '').replace('\"', '') self.encoding = encoding # see also get_all_tags def _get_namespaces(self): """[Creates a dictionary of the namespaces with their associated tags ] Returns: [dict] -- [Dictionary with namespaces as keys and the corresponding tags in a list as value ] """ tags = self.get_all_tags() namespaces = {} for tag in tags: namespace = findall('({.{1,}})', tag) if len(namespace) > 0: namespace = namespace[0] formatted_tag = tag.replace(namespace, '') try: namespaces[namespace].append(formatted_tag) except KeyError: namespaces[namespace] = [formatted_tag] if namespaces: self.namespace_present = True self.namespaces = namespaces # return namespaces def get_all_tags(self): """[All the unique tags available in the Xml No hierachy is mainted for the xml structure] Returns: [list] -- [A list of all the unique tags available in the Xml] """ if self.source and self.proces_file: if self.use_io: context = iterparse(StringIO("""{}""".format(self.source)), events=("start",)) else: data = open(self.source, 'r', encoding=self.encoding) context = iterparse(data, events=("start",)) else: print("No source XML-file provided") return tag_set = [] for event, elem in context: tag_set.append(elem.tag) elem.clear() if self.source and self.proces_file and not self.use_io: data.close() # close filestream del context tag_set = list(set(tag_set)) return tag_set # see also search_nodes def search_namespace_node(self, namespace="", tag=""): ntag = "{}{}".format(namespace, tag) for node in self.search_nodes(tag=ntag): yield node # see also search_node_attr def search_namespace_attr(self, namespace="", tag="", kwargs): ntag = "{}{}".format(namespace, tag) for node in self.search_node_attr(tag=ntag, kwargs=kwargs): yield node # see also seach_nodes def search_node_attr(self, tag="", get_children=True, *kwargs): """[This function filters results from the <search_node> function based on given attributes,values] Keyword Arguments: tag {str} -- [tag of Xml node element] (default: {""}) get_children {bool} -- [Choice for whether subnodes should be returned] (default: {True}) Returns / yields: [dict] -- [Dictionary containing all matching nodes] """ if 'kwargs' in kwargs: kwargs = kwargs['kwargs'] for node in self.search_nodes(tag=tag, get_children=get_children): if len(kwargs) > 0: for key in kwargs: arg = kwargs[key] try: node_val = node['element']['attr'][key] except KeyError: # print("Key '{}' not found in element {}".format(key, # tag)) # exit function if non-existing key is requested node_val = '' if node_val == arg: give_node = True else: # attribute not matching # move on to next node give_node = False break else: give_node = True if give_node: yield node # see also _node_to_dict and _stack_state_controller def search_nodes(self, tag="", get_children=True): """[If a tag is specified the function returns an generator with all Xml elements which have a matching tag. If tag is not specified, the root node is returned When get_children is set, the function returns the subnodes nested in a list of dictionaries] Keyword Arguments: tag {str} -- [tag of Xml node element] (default: {""}) get_children {bool} -- [Choice for whether subnodes should be returned] (default: {True}) """ if self.source and self.proces_file: if self.use_io: context = iterparse(StringIO("""{}""".format(self.source)), events=('start', 'end')) else: data = open(self.source, 'r', encoding=self.encoding) context = iterparse(data, events=('start', 'end')) else: print("Unable to process input") return if get_children: children = [] p_stack = [] tag_stack = [] p_tag = "" c_tag = "" npd = False append_children = False for event, elem in context: if not tag: # if no tag is given then get data for entire document tag = elem.tag if get_children: if elem.tag != tag and append_children: event, elem, p_tag, c_tag, p_stack, \ tag_stack, children, npd = \ self._stack_state_controller(event=event, elem=elem, p_tag=p_tag, c_tag=c_tag, p_stack=p_stack, tag_stack=tag_stack, children=children, npd=npd) if elem.tag == tag and event == 'start': append_children = True if elem.tag == tag and event == 'end': node_dict = self._node_to_dict(elem) output_dict = {'element': node_dict, 'children': []} elem.clear() if get_children: output_dict['children'] = children children = [] append_children = False yield output_dict del context if self.source and self.proces_file and not self.use_io: data.close() # close filestream del data # see also node_to_dict def _stack_state_controller(self, event, elem, p_tag="", c_tag="", p_stack=[], tag_stack=[], children=[], npd=False): """[Keeps track of a dictionary stack and a tag stack, and updates them as required. This is done based on the start/end triggers from the elements in the Xml format] Arguments: event {[str]} -- [start/end points of element] elem {[et.etree.ElementTree.Element]} -- [description] Keyword Arguments: p_tag {str} -- [Current parent tag (top of dict stack). (not used actively) ] (default: {""}) c_tag {str} -- [Current child tag (top of tag stack)] (default: {""}) p_stack {list} -- [Stack for holding the parent dictionaries ] (default: {[]}) tag_stack {list} -- [Stack for holding all the tags] (default: {[]}) children {list} -- [List for holding all subnodes found] (default: {[]}) npd {bool} -- [When set new dictionary is appended to stack] (default: {False}) Returns: All arguments passed to it are returned after being updated """ # ndp controls the creation of new dicts in the p_stack if (elem.tag != c_tag) and (event == "start"): tag_stack.append(elem.tag) if npd: # add new dictionary when children are confiremed to exist _p_dict = {'children': [], 'element': ""} p_stack.append(_p_dict) p_tag = c_tag c_tag = elem.tag npd = True elif (elem.tag == c_tag) and (event == "end"): if len(tag_stack) == 1: # last child on stack if len(p_stack) > 0: # child has children _child = p_stack.pop() _child['element'] = self._node_to_dict(elem) else: _child = {'children': [], 'element': self._node_to_dict(elem)} children.append(_child) c_tag = "" tag_stack.pop() elif len(tag_stack) == len(p_stack): _child = p_stack.pop() _parent = p_stack.pop() _child['element'] = self._node_to_dict(elem) _parent['children'].append(_child) p_stack.append(_parent) tag_stack.pop() c_tag = tag_stack[-1] if len(tag_stack) > 1: p_tag = tag_stack[-2] else: p_tag = "" else: _parent = p_stack.pop() _child = self._node_to_dict(elem) _parent['children'].append(_child) p_stack.append(_parent) tag_stack.pop() c_tag = tag_stack[-1] if len(tag_stack) > 1: p_tag = tag_stack[-2] else: p_tag = "" npd = False elem.clear() return [event, elem, p_tag, c_tag, p_stack, tag_stack, children, npd] def _node_to_dict(self, node=""): """[Convert node element attributes to dictionary] Keyword Arguments: node {et.etree.ElementTree.Element} -- [] (default: {""}) Returns: [dict] -- [Dictionary containing all the attribute,value pairs contained in the node] """ data = {} data['attr'] = {n[0]: n[1] for n in node.items()} data['text'] = node.text data['tag'] = node.tag return data class XsdtoDict: def __init__(self, source=''): self.source = source def convert_to_dict(self): parser = XmlParser(source=self.source) xsd_tags = self.get_export_type_data(parser) data = {} for tag in xsd_tags: data[tag['name']] = self.parse_xml_entry(tag, parser) return data def get_export_type_data(self, validation_parser): all_nodes = validation_parser.search_nodes() output_types = [] for nodes in all_nodes: if nodes: output_types = [{'name': entry['element']['attr']['name'], 'tag': entry['element']['tag']} for entry in nodes['children']] return output_types def parse_xml_entry(self, tag_data, xml_iterator): parent_tag = tag_data['tag'] parent_name = tag_data['name'] sub_elements = xml_iterator.search_node_attr(tag=parent_tag, name=parent_name) if 'complexType' in parent_tag: output = self.parse_complextypes(sub_elements) elif 'simpleType' in parent_tag: output = self.parse_simpletypes(sub_elements) else: output = list(sub_elements) return output def parse_complextypes(self, complex_iterator): output = {} for element_data in complex_iterator: output['attr'] = element_data['element']['attr'] output['sequence'] = [] if element_data['children']: for sub_element in element_data['children']: if 'sequence' in sub_element['element']['tag']: sequence_data = self.parse_sequence(sub_element['children']) output['sequence'].append(sequence_data) else: pass return output def parse_sequence(self, sequence_elements): sequence_output = [] for element in sequence_elements: element_data = self.parse_element(element) sequence_output.append(element_data) return sequence_output def parse_element(self, element): output = {} if 'children' in element: output['tag'] = element['element']['tag'] output['attr'] = element['element']['attr'] element_children = element['children'] output['children_data'] = [] for child in element_children: if 'simpleType' in child['element']['tag']: child_data = self.parse_simpletypes(child) output['children_data'].append(child_data) else: output['tag'] = element['tag'] output['attr'] = element['attr'] return output def parse_simpletypes(self, simple_element): output = {} try: element_children = simple_element['children'] for child_element in element_children: if 'restriction' in child_element['element']['tag']: output['restrictions'] = {'attr': child_element['element']['attr']} restriction_data = self.parse_restrictions(child_element['children']) output['restrictions']['restrictions'] = restriction_data except TypeError: element_data = list(simple_element) element_data = element_data[0] element_children = element_data['children'] element_children = element_children[0]['children'] output['restrictions'] = [] for data in element_children: if 'element' in data: output['restrictions'].append(data['element']['attr']) else: if 'minLength' in data['tag']: output['restrictions'].append({'minlength':data['attr']}) if 'maxLength' in data['tag']: output['restrictions'].append({'maxlength':data['attr']}) return output def parse_restrictions(self, restriction_iterator): output = [] for restriction in restriction_iterator: restriction_data = {} restriction_data['enumarations'] = [] restriction_data['length_data'] = [] if 'element' in restriction: if 'enumeration' in restriction['element']['tag']: enumaration_data = self.parse_enumarations(restriction['children']) restriction_data['enumarations'].append(enumaration_data) restriction_data['attr'] = restriction['element']['attr'] elif 'Length' in restriction['element']['tag']: restriction_data['attr'] = restriction['element']['attr'] restriction_data['length_data'].append(restriction['element']['attr']) else: restriction_data['attr'] = restriction['attr'] output.append(restriction_data) return output def parse_enumarations(self, enumeration_iterator): output = {'annotations': ""} for enumaration in enumeration_iterator: if 'annotation' in enumaration['element']['tag']: annotations = enumaration['children'] annot = {'documentation': []} for annotation in annotations: annot['documentation'].append({'attr': annotation['attr'], 'text': ['text']}) output['annotations'] = annot return output	[ 1, 529, 276, 1112, 420, 29958, 29926, 6144, 5559, 29914, 29873, 3134, 29966, 9507, 29958, 29873, 3134, 29889, 2272, 13, 3166, 4903, 29889, 300, 929, 29889, 2642, 9643, 1053, 4256, 5510, 29892, 20969, 2392, 13, 3166, 12013, 1053, 1714, 5971, 13, 3166, 2897, 29889, 2084, 1053, 338, 1445, 13, 3166, 337, 1053, 1284, 497, 13, 13, 13, 1990, 24409, 11726, 29901, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 2752, 13776, 1125, 13, 4706, 1583, 29889, 4993, 353, 2752, 13, 4706, 1583, 29889, 771, 778, 29918, 1445, 353, 7700, 13, 4706, 1583, 29889, 1509, 29918, 601, 353, 7700, 13, 4706, 1583, 29889, 22331, 353, 525, 10496, 29899, 29947, 29915, 13, 4706, 1583, 29889, 7039, 22459, 353, 6571, 13, 4706, 1583, 29889, 22377, 29918, 6338, 353, 7700, 13, 4706, 1583, 3032, 4993, 29918, 3198, 580, 13, 13, 1678, 396, 1074, 884, 903, 657, 29918, 22331, 29892, 903, 657, 29918, 7039, 22459, 13, 1678, 822, 903, 4993, 29918, 3198, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 518, 6678, 1423, 267, 3692, 278, 2752, 1881, 338, 263, 5923, 4903, 934, 13, 308, 470, 263, 4903, 269, 1508, 20917, 1347, 29962, 13, 4706, 9995, 13, 13, 4706, 903, 17588, 353, 1583, 29889, 4993, 14352, 29941, 17531, 13, 4706, 565, 903, 17588, 1275, 376, 3134, 29908, 470, 903, 17588, 1275, 376, 19168, 1115, 13, 9651, 565, 338, 1445, 29898, 1311, 29889, 4993, 1125, 13, 18884, 1583, 29889, 771, 778, 29918, 1445, 353, 5852, 13, 18884, 1583, 3032, 657, 29918, 22331, 580, 13, 18884, 1583, 3032, 657, 29918, 7039, 22459, 580, 13, 9651, 1683, 29901, 13, 18884, 1596, 703, 2283, 451, 1476, 6571, 1642, 4830, 29898, 1311, 29889, 4993, 876, 13, 4706, 1683, 29901, 13, 9651, 3030, 29918, 1688, 353, 4256, 5510, 29898, 1231, 5971, 703, 15945, 29912, 5038, 29908, 1642, 4830, 29898, 1311, 29889, 4993, 4961, 13, 9651, 1018, 29901, 13, 18884, 3030, 29918, 1688, 17255, 4622, 1649, 580, 13, 18884, 628, 3030, 29918, 1688, 13, 18884, 1583, 29889, 771, 778, 29918, 1445, 353, 5852, 13, 18884, 1583, 29889, 1509, 29918, 601, 353, 5852, 13, 18884, 1583, 3032, 657, 29918, 22331, 580, 13, 18884, 1583, 3032, 657, 29918, 7039, 22459, 580, 13, 9651, 5174, 20969, 2392, 29901, 13, 18884, 628, 3030, 29918, 1688, 13, 18884, 1596, 703, 4290, 338, 451, 297, 6969, 24409, 3402, 1159, 13, 13, 1678, 822, 903, 657, 29918, 22331, 29898, 1311, 1125, 13, 4706, 565, 1583, 29889, 771, 778, 29918, 1445, 322, 451, 1583, 29889, 1509, 29918, 601, 29901, 13, 9651, 411, 1722, 29898, 1311, 29889, 4993, 29892, 525, 29878, 1495, 408, 285, 29901, 13, 18884, 301, 353, 285, 29889, 949, 1220, 580, 13, 9651, 565, 525, 22331, 29915, 297, 301, 29901, 13, 18884, 1993, 353, 1284, 497, 877, 29898, 22331, 29922, 5575, 29905, 7897, 742, 301, 29897, 13, 18884, 8025, 353, 1993, 29961, 29900, 1822, 5451, 877, 29922, 29861, 29896, 1822, 6506, 29898, 13, 462, 1678, 525, 29973, 742, 525, 2824, 6506, 877, 5931, 742, 27255, 13, 18884, 1583, 29889, 22331, 353, 8025, 13, 13, 1678, 396, 1074, 884, 679, 29918, 497, 29918, 11338, 13, 1678, 822, 903, 657, 29918, 7039, 22459, 29898, 1311, 1125, 13, 4706, 9995, 29961, 9832, 1078, 263, 8600, 310, 278, 2983, 22459, 411, 1009, 6942, 8282, 4514, 13, 13, 4706, 16969, 29901, 13, 9651, 518, 8977, 29962, 1192, 518, 11513, 411, 2983, 22459, 408, 6611, 13, 462, 539, 322, 278, 6590, 8282, 297, 263, 1051, 408, 995, 4514, 13, 4706, 9995, 13, 13, 4706, 8282, 353, 1583, 29889, 657, 29918, 497, 29918, 11338, 580, 13, 4706, 2983, 22459, 353, 6571, 13, 4706, 363, 4055, 297, 8282, 29901, 13, 9651, 7397, 353, 1284, 497, 877, 3319, 29889, 29912, 29896, 29892, 24289, 742, 4055, 29897, 13, 9651, 565, 7431, 29898, 22377, 29897, 1405, 29871, 29900, 29901, 13, 18884, 7397, 353, 7397, 29961, 29900, 29962, 13, 18884, 20917, 29918, 4039, 353, 4055, 29889, 6506, 29898, 22377, 29892, 27255, 13, 18884, 1018, 29901, 13, 462, 1678, 2983, 22459, 29961, 22377, 1822, 4397, 29898, 689, 19667, 29918, 4039, 29897, 13, 18884, 5174, 7670, 2392, 29901, 13, 462, 1678, 2983, 22459, 29961, 22377, 29962, 353, 518, 689, 19667, 29918, 4039, 29962, 13, 4706, 565, 2983, 22459, 29901, 13, 9651, 1583, 29889, 22377, 29918, 6338, 353, 5852, 13, 4706, 1583, 29889, 7039, 22459, 353, 2983, 22459, 13, 4706, 396, 736, 2983, 22459, 13, 13, 1678, 822, 679, 29918, 497, 29918, 11338, 29898, 1311, 1125, 13, 4706, 9995, 29961, 3596, 278, 5412, 8282, 3625, 297, 278, 24409, 13, 9651, 1939, 6128, 496, 29891, 338, 1667, 9446, 363, 278, 4903, 3829, 29962, 13, 13, 4706, 16969, 29901, 13, 9651, 518, 1761, 29962, 1192, 518, 29909, 1051, 310, 599, 278, 5412, 8282, 3625, 297, 278, 24409, 29962, 13, 4706, 9995, 13, 13, 4706, 565, 1583, 29889, 4993, 322, 1583, 29889, 771, 778, 29918, 1445, 29901, 13, 13, 9651, 565, 1583, 29889, 1509, 29918, 601, 29901, 13, 18884, 3030, 353, 4256, 5510, 29898, 1231, 5971, 703, 15945, 29912, 5038, 29908, 1642, 4830, 29898, 1311, 29889, 4993, 8243, 13, 462, 462, 1678, 4959, 29922, 703, 2962, 613, 876, 13, 9651, 1683, 29901, 13, 18884, 848, 353, 1722, 29898, 1311, 29889, 4993, 29892, 525, 29878, 742, 8025, 29922, 1311, 29889, 22331, 29897, 13, 18884, 3030, 353, 4256, 5510, 29898, 1272, 29892, 4959, 29922, 703, 2962, 613, 876, 13, 4706, 1683, 29901, 13, 9651, 1596, 703, 3782, 2752, 6560, 29899, 1445, 4944, 1159, 13, 9651, 736, 13, 4706, 4055, 29918, 842, 353, 5159, 13, 4706, 363, 1741, 29892, 21268, 297, 3030, 29901, 13, 9651, 4055, 29918, 842, 29889, 4397, 29898, 20461, 29889, 4039, 29897, 13, 9651, 21268, 29889, 8551, 580, 13, 4706, 565, 1583, 29889, 4993, 322, 1583, 29889, 771, 778, 29918, 1445, 322, 451, 1583, 29889, 1509, 29918, 601, 29901, 13, 9651, 848, 29889, 5358, 580, 29871, 396, 3802, 977, 342, 1633, 13, 4706, 628, 3030, 13, 4706, 4055, 29918, 842, 353, 1051, 29898, 842, 29898, 4039, 29918, 842, 876, 13, 4706, 736, 4055, 29918, 842, 13, 13, 1678, 396, 1074, 884, 2740, 29918, 18010, 13, 1678, 822, 2740, 29918, 22377, 29918, 3177, 29898, 1311, 29892, 7397, 543, 613, 4055, 13776, 1125, 13, 4706, 302, 4039, 353, 29850, 1157, 29913, 1642, 4830, 29898, 22377, 29892, 4055, 29897, 13, 4706, 363, 2943, 297, 1583, 29889, 4478, 29918, 18010, 29898, 4039, 29922, 593, 351, 1125, 13, 9651, 7709, 2943, 13, 13, 1678, 396, 1074, 884, 2740, 29918, 3177, 29918, 5552, 13, 1678, 822, 2740, 29918, 22377, 29918, 5552, 29898, 1311, 29892, 7397, 543, 613, 4055, 543, 613, 3579, 19290, 1125, 13, 4706, 302, 4039, 353, 29850, 1157, 29913, 1642, 4830, 29898, 22377, 29892, 4055, 29897, 13, 4706, 363, 2943, 297, 1583, 29889, 4478, 29918, 3177, 29918, 5552, 29898, 4039, 29922, 593, 351, 29892, 9049, 5085, 29922, 19290, 1125, 13, 9651, 7709, 2943, 13, 13, 1678, 396, 1074, 884, 409, 496, 29918, 18010, 13, 1678, 822, 2740, 29918, 3177, 29918, 5552, 29898, 1311, 29892, 4055, 543, 613, 679, 29918, 11991, 29922, 5574, 29892, 3579, 19290, 1125, 13, 4706, 9995, 29961, 4013, 740, 18094, 2582, 515, 278, 529, 4478, 29918, 3177, 29958, 740, 13, 9651, 2729, 373, 2183, 8393, 29892, 5975, 29962, 13, 13, 4706, 7670, 1742, 11842, 9331, 29901, 13, 9651, 4055, 426, 710, 29913, 1192, 518, 4039, 310, 24409, 2943, 1543, 29962, 313, 4381, 29901, 8853, 29908, 1800, 13, 9651, 679, 29918, 11991, 426, 11227, 29913, 1192, 518, 29620, 363, 3692, 1014, 18010, 13, 462, 462, 1678, 881, 367, 4133, 29962, 313, 4381, 29901, 426, 5574, 1800, 13, 13, 4706, 16969, 847, 17498, 29901, 13, 9651, 518, 8977, 29962, 1192, 518, 11513, 6943, 599, 9686, 7573, 29962, 13, 4706, 9995, 13, 13, 4706, 565, 525, 19290, 29915, 297, 9049, 5085, 29901, 13, 9651, 9049, 5085, 353, 9049, 5085, 1839, 19290, 2033, 13, 4706, 363, 2943, 297, 1583, 29889, 4478, 29918, 18010, 29898, 4039, 29922, 4039, 29892, 679, 29918, 11991, 29922, 657, 29918, 11991, 1125, 13, 9651, 565, 7431, 29898, 19290, 29897, 1405, 29871, 29900, 29901, 13, 18884, 363, 1820, 297, 9049, 5085, 29901, 13, 462, 1678, 1852, 353, 9049, 5085, 29961, 1989, 29962, 13, 13, 462, 1678, 1018, 29901, 13, 462, 4706, 2943, 29918, 791, 353, 2943, 1839, 5029, 16215, 5552, 2033, 29961, 1989, 29962, 13, 462, 1678, 5174, 7670, 2392, 29901, 13, 462, 4706, 396, 1596, 703, 2558, 525, 8875, 29915, 451, 1476, 297, 1543, 6571, 1642, 4830, 29898, 1989, 29892, 13, 462, 4706, 396, 462, 462, 462, 4055, 876, 13, 462, 4706, 396, 6876, 740, 565, 1661, 29899, 735, 15423, 1820, 338, 13877, 13, 462, 4706, 2943, 29918, 791, 353, 6629, 13, 13, 462, 1678, 565, 2943, 29918, 791, 1275, 1852, 29901, 13, 462, 4706, 2367, 29918, 3177, 353, 5852, 13, 462, 1678, 1683, 29901, 13, 462, 4706, 396, 5352, 451, 9686, 13, 462, 4706, 396, 4337, 373, 304, 2446, 2943, 13, 462, 4706, 2367, 29918, 3177, 353, 7700, 13, 462, 4706, 2867, 13, 9651, 1683, 29901, 13, 18884, 2367, 29918, 3177, 353, 5852, 13, 9651, 565, 2367, 29918, 3177, 29901, 13, 18884, 7709, 2943, 13, 13, 1678, 396, 1074, 884, 903, 3177, 29918, 517, 29918, 8977, 322, 903, 1429, 29918, 3859, 29918, 8299, 13, 1678, 822, 2740, 29918, 18010, 29898, 1311, 29892, 4055, 543, 613, 679, 29918, 11991, 29922, 5574, 1125, 13, 4706, 9995, 29961, 3644, 263, 4055, 338, 6790, 278, 740, 3639, 385, 15299, 13, 9651, 411, 599, 24409, 3161, 607, 505, 263, 9686, 4055, 29889, 13, 9651, 960, 4055, 338, 451, 6790, 29892, 278, 3876, 2943, 338, 4133, 13, 9651, 1932, 679, 29918, 11991, 338, 731, 29892, 278, 740, 3639, 278, 1014, 18010, 13, 9651, 9322, 297, 263, 1051, 310, 21503, 4314, 29962, 13, 13, 4706, 7670, 1742, 11842, 9331, 29901, 13, 9651, 4055, 426, 710, 29913, 1192, 518, 4039, 310, 24409, 2943, 1543, 29962, 313, 4381, 29901, 8853, 29908, 1800, 13, 9651, 679, 29918, 11991, 426, 11227, 29913, 1192, 518, 29620, 363, 3692, 1014, 18010, 13, 462, 462, 1678, 881, 367, 4133, 29962, 313, 4381, 29901, 426, 5574, 1800, 13, 4706, 9995, 13, 13, 4706, 565, 1583, 29889, 4993, 322, 1583, 29889, 771, 778, 29918, 1445, 29901, 13, 9651, 565, 1583, 29889, 1509, 29918, 601, 29901, 13, 18884, 3030, 353, 4256, 5510, 29898, 1231, 5971, 703, 15945, 29912, 5038, 29908, 1642, 4830, 29898, 1311, 29889, 4993, 8243, 13, 462, 462, 1678, 4959, 29922, 877, 2962, 742, 525, 355, 8785, 13, 9651, 1683, 29901, 13, 18884, 848, 353, 1722, 29898, 1311, 29889, 4993, 29892, 525, 29878, 742, 8025, 29922, 1311, 29889, 22331, 29897, 13, 18884, 3030, 353, 4256, 5510, 29898, 1272, 29892, 4959, 29922, 877, 2962, 742, 525, 355, 8785, 13, 13, 4706, 1683, 29901, 13, 9651, 1596, 703, 2525, 519, 304, 1889, 1881, 1159, 13, 9651, 736, 13, 4706, 565, 679, 29918, 11991, 29901, 13, 9651, 4344, 353, 5159, 13, 9651, 282, 29918, 1429, 353, 5159, 13, 9651, 4055, 29918, 1429, 353, 5159, 13, 9651, 282, 29918, 4039, 353, 5124, 13, 9651, 274, 29918, 4039, 353, 5124, 13, 9651, 7442, 29881, 353, 7700, 13, 4706, 9773, 29918, 11991, 353, 7700, 13, 4706, 363, 1741, 29892, 21268, 297, 3030, 29901, 13, 9651, 565, 451, 4055, 29901, 13, 18884, 396, 565, 694, 4055, 338, 2183, 769, 679, 848, 363, 4152, 1842, 13, 18884, 4055, 353, 21268, 29889, 4039, 13, 13, 9651, 565, 679, 29918, 11991, 29901, 13, 18884, 565, 21268, 29889, 4039, 2804, 4055, 322, 9773, 29918, 11991, 29901, 13, 462, 1678, 1741, 29892, 21268, 29892, 282, 29918, 4039, 29892, 274, 29918, 4039, 29892, 282, 29918, 1429, 29892, 320, 13, 462, 4706, 4055, 29918, 1429, 29892, 4344, 29892, 7442, 29881, 353, 320, 13, 462, 4706, 1583, 3032, 1429, 29918, 3859, 29918, 8299, 29898, 3696, 29922, 3696, 29892, 13, 462, 462, 462, 268, 21268, 29922, 20461, 29892, 13, 462, 462, 462, 268, 282, 29918, 4039, 29922, 29886, 29918, 4039, 29892, 13, 462, 462, 462, 268, 274, 29918, 4039, 29922, 29883, 29918, 4039, 29892, 13, 462, 462, 462, 268, 282, 29918, 1429, 29922, 29886, 29918, 1429, 29892, 13, 462, 462, 462, 268, 4055, 29918, 1429, 29922, 4039, 29918, 1429, 29892, 13, 462, 462, 462, 268, 4344, 29922, 11991, 29892, 13, 462, 462, 462, 268, 7442, 29881, 29922, 9302, 29881, 29897, 13, 13, 18884, 565, 21268, 29889, 4039, 1275, 4055, 322, 1741, 1275, 525, 2962, 2396, 13, 462, 1678, 9773, 29918, 11991, 353, 5852, 13, 13, 9651, 565, 21268, 29889, 4039, 1275, 4055, 322, 1741, 1275, 525, 355, 2396, 13, 13, 18884, 2943, 29918, 8977, 353, 1583, 3032, 3177, 29918, 517, 29918, 8977, 29898, 20461, 29897, 13, 18884, 1962, 29918, 8977, 353, 11117, 5029, 2396, 2943, 29918, 8977, 29892, 525, 11991, 2396, 5159, 29913, 13, 18884, 21268, 29889, 8551, 580, 13, 13, 18884, 565, 679, 29918, 11991, 29901, 13, 462, 1678, 1962, 29918, 8977, 1839, 11991, 2033, 353, 4344, 13, 462, 1678, 4344, 353, 5159, 13, 462, 1678, 9773, 29918, 11991, 353, 7700, 13, 13, 18884, 7709, 1962, 29918, 8977, 13, 13, 4706, 628, 3030, 13, 4706, 565, 1583, 29889, 4993, 322, 1583, 29889, 771, 778, 29918, 1445, 322, 451, 1583, 29889, 1509, 29918, 601, 29901, 13, 9651, 848, 29889, 5358, 580, 29871, 396, 3802, 977, 342, 1633, 13, 4706, 628, 848, 13, 13, 1678, 396, 1074, 884, 2943, 29918, 517, 29918, 8977, 13, 1678, 822, 903, 1429, 29918, 3859, 29918, 8299, 29898, 1311, 29892, 1741, 29892, 21268, 29892, 282, 29918, 4039, 543, 613, 274, 29918, 4039, 543, 613, 13, 462, 18884, 282, 29918, 1429, 11759, 1402, 4055, 29918, 1429, 11759, 1402, 4344, 11759, 1402, 13, 462, 18884, 7442, 29881, 29922, 8824, 1125, 13, 4706, 9995, 29961, 29968, 3905, 567, 5702, 310, 263, 8600, 5096, 322, 263, 4055, 5096, 29892, 322, 11217, 963, 408, 3734, 29889, 13, 9651, 910, 338, 2309, 2729, 373, 278, 1369, 29914, 355, 23660, 515, 278, 3161, 297, 278, 24409, 3402, 29962, 13, 13, 4706, 11842, 9331, 29901, 13, 9651, 1741, 426, 29961, 710, 12258, 1192, 518, 2962, 29914, 355, 3291, 310, 1543, 29962, 13, 9651, 21268, 426, 29961, 300, 29889, 300, 929, 29889, 2642, 9643, 29889, 2642, 12258, 1192, 518, 8216, 29962, 13, 13, 4706, 7670, 1742, 11842, 9331, 29901, 13, 9651, 282, 29918, 4039, 426, 710, 29913, 1192, 518, 7583, 3847, 4055, 313, 3332, 310, 9657, 5096, 467, 313, 1333, 1304, 1044, 3598, 29897, 4514, 313, 4381, 29901, 8853, 29908, 1800, 13, 9651, 274, 29918, 4039, 426, 710, 29913, 1192, 518, 7583, 2278, 4055, 313, 3332, 310, 4055, 5096, 4638, 313, 4381, 29901, 8853, 29908, 1800, 13, 9651, 282, 29918, 1429, 426, 1761, 29913, 1192, 518, 7264, 363, 13587, 278, 3847, 21503, 4314, 4514, 313, 4381, 29901, 426, 2636, 1800, 13, 9651, 4055, 29918, 1429, 426, 1761, 29913, 1192, 518, 7264, 363, 13587, 599, 278, 8282, 29962, 313, 4381, 29901, 426, 2636, 1800, 13, 9651, 4344, 426, 1761, 29913, 1192, 518, 1293, 363, 13587, 599, 1014, 18010, 1476, 29962, 313, 4381, 29901, 426, 2636, 1800, 13, 9651, 7442, 29881, 426, 11227, 29913, 1192, 518, 10401, 731, 716, 8600, 338, 623, 2760, 304, 5096, 29962, 313, 4381, 29901, 426, 8824, 1800, 13, 13, 4706, 16969, 29901, 13, 9651, 2178, 6273, 4502, 304, 372, 526, 4133, 1156, 1641, 4784, 13, 4706, 9995, 13, 13, 4706, 396, 29871, 299, 29886, 11761, 278, 11265, 310, 716, 9657, 29879, 297, 278, 282, 29918, 1429, 13, 4706, 565, 313, 20461, 29889, 4039, 2804, 274, 29918, 4039, 29897, 322, 313, 3696, 1275, 376, 2962, 29908, 1125, 13, 9651, 4055, 29918, 1429, 29889, 4397, 29898, 20461, 29889, 4039, 29897, 13, 9651, 565, 7442, 29881, 29901, 13, 18884, 396, 788, 716, 8600, 746, 4344, 526, 1970, 533, 2168, 304, 1863, 13, 18884, 903, 29886, 29918, 8977, 353, 11117, 11991, 2396, 19997, 525, 5029, 2396, 5124, 29913, 13, 18884, 282, 29918, 1429, 29889, 4397, 7373, 29886, 29918, 8977, 29897, 13, 9651, 282, 29918, 4039, 353, 274, 29918, 4039, 13, 9651, 274, 29918, 4039, 353, 21268, 29889, 4039, 13, 9651, 7442, 29881, 353, 5852, 13, 13, 4706, 25342, 313, 20461, 29889, 4039, 1275, 274, 29918, 4039, 29897, 322, 313, 3696, 1275, 376, 355, 29908, 1125, 13, 13, 9651, 565, 7431, 29898, 4039, 29918, 1429, 29897, 1275, 29871, 29896, 29901, 13, 18884, 396, 1833, 2278, 373, 5096, 13, 18884, 565, 7431, 29898, 29886, 29918, 1429, 29897, 1405, 29871, 29900, 29901, 13, 462, 1678, 396, 2278, 756, 4344, 13, 462, 1678, 903, 5145, 353, 282, 29918, 1429, 29889, 7323, 580, 13, 462, 1678, 903, 5145, 1839, 5029, 2033, 353, 1583, 3032, 3177, 29918, 517, 29918, 8977, 29898, 20461, 29897, 13, 13, 18884, 1683, 29901, 13, 462, 1678, 903, 5145, 353, 11117, 11991, 2396, 19997, 13, 462, 795, 525, 5029, 2396, 1583, 3032, 3177, 29918, 517, 29918, 8977, 29898, 20461, 2915, 13, 18884, 4344, 29889, 4397, 7373, 5145, 29897, 13, 18884, 274, 29918, 4039, 353, 5124, 13, 18884, 4055, 29918, 1429, 29889, 7323, 580, 13, 13, 9651, 25342, 7431, 29898, 4039, 29918, 1429, 29897, 1275, 7431, 29898, 29886, 29918, 1429, 1125, 13, 13, 18884, 903, 5145, 353, 282, 29918, 1429, 29889, 7323, 580, 13, 18884, 903, 3560, 353, 282, 29918, 1429, 29889, 7323, 580, 13, 18884, 903, 5145, 1839, 5029, 2033, 353, 1583, 3032, 3177, 29918, 517, 29918, 8977, 29898, 20461, 29897, 13, 18884, 903, 3560, 1839, 11991, 13359, 4397, 7373, 5145, 29897, 13, 18884, 282, 29918, 1429, 29889, 4397, 7373, 3560, 29897, 13, 13, 18884, 4055, 29918, 1429, 29889, 7323, 580, 13, 18884, 274, 29918, 4039, 353, 4055, 29918, 1429, 14352, 29896, 29962, 13, 18884, 565, 7431, 29898, 4039, 29918, 1429, 29897, 1405, 29871, 29896, 29901, 13, 462, 1678, 282, 29918, 4039, 353, 4055, 29918, 1429, 14352, 29906, 29962, 13, 18884, 1683, 29901, 13, 462, 1678, 282, 29918, 4039, 353, 5124, 13, 13, 9651, 1683, 29901, 13, 18884, 903, 3560, 353, 282, 29918, 1429, 29889, 7323, 580, 13, 18884, 903, 5145, 353, 1583, 3032, 3177, 29918, 517, 29918, 8977, 29898, 20461, 29897, 13, 18884, 903, 3560, 1839, 11991, 13359, 4397, 7373, 5145, 29897, 13, 18884, 282, 29918, 1429, 29889, 4397, 7373, 3560, 29897, 13, 13, 18884, 4055, 29918, 1429, 29889, 7323, 580, 13, 18884, 274, 29918, 4039, 353, 4055, 29918, 1429, 14352, 29896, 29962, 13, 18884, 565, 7431, 29898, 4039, 29918, 1429, 29897, 1405, 29871, 29896, 29901, 13, 462, 1678, 282, 29918, 4039, 353, 4055, 29918, 1429, 14352, 29906, 29962, 13, 18884, 1683, 29901, 13, 462, 1678, 282, 29918, 4039, 353, 5124, 13, 13, 9651, 7442, 29881, 353, 7700, 13, 9651, 21268, 29889, 8551, 580, 13, 13, 4706, 736, 518, 3696, 29892, 21268, 29892, 282, 29918, 4039, 29892, 274, 29918, 4039, 29892, 282, 29918, 1429, 29892, 13, 18884, 4055, 29918, 1429, 29892, 4344, 29892, 7442, 29881, 29962, 13, 13, 1678, 822, 903, 3177, 29918, 517, 29918, 8977, 29898, 1311, 29892, 2943, 13776, 1125, 13, 4706, 9995, 29961, 18455, 2943, 1543, 8393, 304, 8600, 29962, 13, 13, 4706, 7670, 1742, 11842, 9331, 29901, 13, 9651, 2943, 426, 300, 29889, 300, 929, 29889, 2642, 9643, 29889, 2642, 29913, 1192, 5159, 313, 4381, 29901, 8853, 29908, 1800, 13, 13, 4706, 16969, 29901, 13, 9651, 518, 8977, 29962, 1192, 518, 11513, 6943, 599, 278, 5352, 29892, 1767, 11000, 13, 462, 539, 11122, 297, 278, 2943, 29962, 13, 4706, 9995, 13, 4706, 848, 353, 6571, 13, 4706, 848, 1839, 5552, 2033, 353, 426, 29876, 29961, 29900, 5387, 302, 29961, 29896, 29962, 363, 302, 297, 2943, 29889, 7076, 28296, 13, 4706, 848, 1839, 726, 2033, 353, 2943, 29889, 726, 13, 4706, 848, 1839, 4039, 2033, 353, 2943, 29889, 4039, 13, 4706, 736, 848, 13, 13, 13, 1990, 1060, 4928, 517, 21533, 29901, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 2752, 2433, 29374, 13, 4706, 1583, 29889, 4993, 353, 2752, 13, 13, 1678, 822, 3588, 29918, 517, 29918, 8977, 29898, 1311, 1125, 13, 4706, 13812, 353, 24409, 11726, 29898, 4993, 29922, 1311, 29889, 4993, 29897, 13, 4706, 921, 4928, 29918, 11338, 353, 1583, 29889, 657, 29918, 15843, 29918, 1853, 29918, 1272, 29898, 16680, 29897, 13, 4706, 848, 353, 6571, 13, 4706, 363, 4055, 297, 921, 4928, 29918, 11338, 29901, 13, 9651, 848, 29961, 4039, 1839, 978, 2033, 29962, 353, 1583, 29889, 5510, 29918, 3134, 29918, 8269, 29898, 4039, 29892, 13812, 29897, 13, 4706, 736, 848, 13, 13, 1678, 822, 679, 29918, 15843, 29918, 1853, 29918, 1272, 29898, 1311, 29892, 8845, 29918, 16680, 1125, 13, 13, 4706, 599, 29918, 18010, 353, 8845, 29918, 16680, 29889, 4478, 29918, 18010, 580, 13, 4706, 1962, 29918, 8768, 353, 5159, 13, 4706, 363, 7573, 297, 599, 29918, 18010, 29901, 13, 9651, 565, 7573, 29901, 13, 18884, 1962, 29918, 8768, 353, 518, 10998, 978, 2396, 6251, 1839, 5029, 16215, 5552, 16215, 978, 7464, 13, 462, 18884, 525, 4039, 2396, 6251, 1839, 5029, 16215, 4039, 2033, 29913, 13, 462, 18884, 363, 6251, 297, 7573, 1839, 11991, 2033, 29962, 13, 4706, 736, 1962, 29918, 8768, 13, 13, 1678, 822, 6088, 29918, 3134, 29918, 8269, 29898, 1311, 29892, 4055, 29918, 1272, 29892, 4903, 29918, 17609, 1125, 13, 4706, 3847, 29918, 4039, 353, 4055, 29918, 1272, 1839, 4039, 2033, 13, 4706, 3847, 29918, 978, 353, 4055, 29918, 1272, 1839, 978, 2033, 13, 13, 4706, 1014, 29918, 17664, 353, 4903, 29918, 17609, 29889, 4478, 29918, 3177, 29918, 5552, 29898, 4039, 29922, 3560, 29918, 4039, 29892, 13, 462, 462, 462, 268, 1024, 29922, 3560, 29918, 978, 29897, 13, 4706, 565, 525, 19676, 1542, 29915, 297, 3847, 29918, 4039, 29901, 13, 9651, 1962, 353, 1583, 29889, 5510, 29918, 5729, 486, 7384, 29898, 1491, 29918, 17664, 29897, 13, 4706, 25342, 525, 12857, 1542, 29915, 297, 3847, 29918, 4039, 29901, 13, 9651, 1962, 353, 1583, 29889, 5510, 29918, 12857, 8768, 29898, 1491, 29918, 17664, 29897, 13, 4706, 1683, 29901, 13, 9651, 1962, 353, 1051, 29898, 1491, 29918, 17664, 29897, 13, 4706, 736, 1962, 13, 13, 1678, 822, 6088, 29918, 5729, 486, 7384, 29898, 1311, 29892, 4280, 29918, 17609, 1125, 13, 13, 4706, 1962, 353, 6571, 13, 4706, 363, 1543, 29918, 1272, 297, 4280, 29918, 17609, 29901, 13, 9651, 1962, 1839, 5552, 2033, 353, 1543, 29918, 1272, 1839, 5029, 16215, 5552, 2033, 13, 9651, 1962, 1839, 16506, 2033, 353, 5159, 13, 9651, 565, 1543, 29918, 1272, 1839, 11991, 2033, 29901, 13, 18884, 363, 1014, 29918, 5029, 297, 1543, 29918, 1272, 1839, 11991, 2033, 29901, 13, 462, 1678, 565, 525, 16506, 29915, 297, 1014, 29918, 5029, 1839, 5029, 16215, 4039, 2033, 29901, 13, 462, 4706, 5665, 29918, 1272, 353, 1583, 29889, 5510, 29918, 16506, 29898, 1491, 29918, 5029, 1839, 11991, 11287, 13, 462, 4706, 1962, 1839, 16506, 13359, 4397, 29898, 16506, 29918, 1272, 29897, 13, 462, 1678, 1683, 29901, 13, 462, 4706, 1209, 13, 13, 4706, 736, 1962, 13, 13, 1678, 822, 6088, 29918, 16506, 29898, 1311, 29892, 5665, 29918, 17664, 1125, 13, 13, 4706, 5665, 29918, 4905, 353, 5159, 13, 4706, 363, 1543, 297, 5665, 29918, 17664, 29901, 13, 9651, 1543, 29918, 1272, 353, 1583, 29889, 5510, 29918, 5029, 29898, 5029, 29897, 13, 9651, 5665, 29918, 4905, 29889, 4397, 29898, 5029, 29918, 1272, 29897, 13, 4706, 736, 5665, 29918, 4905, 13, 13, 1678, 822, 6088, 29918, 5029, 29898, 1311, 29892, 1543, 1125, 13, 4706, 1962, 353, 6571, 13, 13, 4706, 565, 525, 11991, 29915, 297, 1543, 29901, 13, 9651, 1962, 1839, 4039, 2033, 353, 1543, 1839, 5029, 16215, 4039, 2033, 13, 9651, 1962, 1839, 5552, 2033, 353, 1543, 1839, 5029, 16215, 5552, 2033, 13, 9651, 1543, 29918, 11991, 353, 1543, 1839, 11991, 2033, 13, 9651, 1962, 1839, 11991, 29918, 1272, 2033, 353, 5159, 13, 9651, 363, 2278, 297, 1543, 29918, 11991, 29901, 13, 18884, 565, 525, 12857, 1542, 29915, 297, 2278, 1839, 5029, 16215, 4039, 2033, 29901, 13, 462, 1678, 2278, 29918, 1272, 353, 1583, 29889, 5510, 29918, 12857, 8768, 29898, 5145, 29897, 13, 462, 1678, 1962, 1839, 11991, 29918, 1272, 13359, 4397, 29898, 5145, 29918, 1272, 29897, 13, 4706, 1683, 29901, 13, 9651, 1962, 1839, 4039, 2033, 353, 1543, 1839, 4039, 2033, 13, 9651, 1962, 1839, 5552, 2033, 353, 1543, 1839, 5552, 2033, 13, 4706, 736, 1962, 13, 13, 1678, 822, 6088, 29918, 12857, 8768, 29898, 1311, 29892, 2560, 29918, 5029, 1125, 13, 13, 4706, 1962, 353, 6571, 13, 4706, 1018, 29901, 13, 9651, 1543, 29918, 11991, 353, 2560, 29918, 5029, 1839, 11991, 2033, 13, 9651, 363, 2278, 29918, 5029, 297, 1543, 29918, 11991, 29901, 13, 18884, 565, 525, 5060, 19902, 29915, 297, 2278, 29918, 5029, 1839, 5029, 16215, 4039, 2033, 29901, 13, 462, 1678, 1962, 1839, 5060, 4146, 1080, 2033, 353, 11117, 5552, 2396, 2278, 29918, 5029, 1839, 5029, 16215, 5552, 2033, 29913, 13, 462, 1678, 24345, 29918, 1272, 353, 1583, 29889, 5510, 29918, 5060, 4146, 1080, 29898, 5145, 29918, 5029, 1839, 11991, 11287, 13, 462, 1678, 1962, 1839, 5060, 4146, 1080, 16215, 5060, 4146, 1080, 2033, 353, 24345, 29918, 1272, 13, 4706, 5174, 20948, 29901, 13, 9651, 1543, 29918, 1272, 353, 1051, 29898, 12857, 29918, 5029, 29897, 13, 9651, 1543, 29918, 1272, 353, 1543, 29918, 1272, 29961, 29900, 29962, 13, 9651, 1543, 29918, 11991, 353, 1543, 29918, 1272, 1839, 11991, 2033, 13, 9651, 1543, 29918, 11991, 353, 1543, 29918, 11991, 29961, 29900, 22322, 11991, 2033, 13, 13, 9651, 1962, 1839, 5060, 4146, 1080, 2033, 353, 5159, 13, 9651, 363, 848, 297, 1543, 29918, 11991, 29901, 13, 18884, 565, 525, 5029, 29915, 297, 848, 29901, 13, 462, 1678, 1962, 1839, 5060, 4146, 1080, 13359, 4397, 29898, 1272, 1839, 5029, 16215, 5552, 11287, 29871, 13, 18884, 1683, 29901, 13, 462, 268, 565, 525, 1195, 6513, 29915, 297, 848, 1839, 4039, 2033, 29901, 13, 462, 308, 1962, 1839, 5060, 4146, 1080, 13359, 4397, 3319, 29915, 1195, 2848, 2396, 1272, 1839, 5552, 2033, 1800, 13, 462, 268, 565, 525, 3317, 6513, 29915, 297, 848, 1839, 4039, 2033, 29901, 13, 462, 308, 1962, 1839, 5060, 4146, 1080, 13359, 4397, 3319, 29915, 3317, 2848, 2396, 1272, 1839, 5552, 2033, 1800, 13, 4706, 736, 1962, 13, 13, 1678, 822, 6088, 29918, 5060, 4146, 1080, 29898, 1311, 29892, 24345, 29918, 17609, 1125, 13, 13, 4706, 1962, 353, 5159, 13, 4706, 363, 24345, 297, 24345, 29918, 17609, 29901, 13, 9651, 24345, 29918, 1272, 353, 6571, 13, 9651, 24345, 29918, 1272, 1839, 18605, 279, 800, 2033, 353, 5159, 13, 9651, 24345, 29918, 1272, 1839, 2848, 29918, 1272, 2033, 353, 5159, 13, 9651, 565, 525, 5029, 29915, 297, 24345, 29901, 13, 18884, 565, 525, 264, 4680, 362, 29915, 297, 24345, 1839, 5029, 16215, 4039, 2033, 29901, 13, 462, 1678, 14115, 279, 362, 29918, 1272, 353, 1583, 29889, 5510, 29918, 18605, 279, 800, 29898, 5060, 19902, 1839, 11991, 11287, 13, 462, 1678, 24345, 29918, 1272, 1839, 18605, 279, 800, 13359, 4397, 29898, 18605, 279, 362, 29918, 1272, 29897, 13, 462, 1678, 24345, 29918, 1272, 1839, 5552, 2033, 353, 24345, 1839, 5029, 16215, 5552, 2033, 13, 18884, 25342, 525, 6513, 29915, 297, 24345, 1839, 5029, 16215, 4039, 2033, 29901, 13, 462, 1678, 24345, 29918, 1272, 1839, 5552, 2033, 353, 24345, 1839, 5029, 16215, 5552, 2033, 13, 462, 1678, 24345, 29918, 1272, 1839, 2848, 29918, 1272, 13359, 4397, 29898, 5060, 19902, 1839, 5029, 16215, 5552, 11287, 13, 9651, 1683, 29901, 13, 18884, 24345, 29918, 1272, 1839, 5552, 2033, 353, 24345, 1839, 5552, 2033, 13, 13, 9651, 1962, 29889, 4397, 29898, 5060, 19902, 29918, 1272, 29897, 13, 13, 4706, 736, 1962, 13, 13, 1678, 822, 6088, 29918, 18605, 279, 800, 29898, 1311, 29892, 22447, 362, 29918, 17609, 1125, 13, 13, 4706, 1962, 353, 11117, 6735, 800, 2396, 5124, 29913, 13, 4706, 363, 14115, 279, 362, 297, 22447, 362, 29918, 17609, 29901, 13, 9651, 565, 525, 18317, 29915, 297, 14115, 279, 362, 1839, 5029, 16215, 4039, 2033, 29901, 13, 18884, 25495, 353, 14115, 279, 362, 1839, 11991, 2033, 13, 18884, 9732, 353, 11117, 12663, 2396, 5159, 29913, 13, 18884, 363, 17195, 297, 25495, 29901, 13, 462, 1678, 9732, 1839, 12663, 13359, 4397, 3319, 29915, 5552, 2396, 17195, 1839, 5552, 7464, 13, 462, 462, 462, 259, 525, 726, 2396, 6024, 726, 2033, 1800, 13, 13, 18884, 1962, 1839, 6735, 800, 2033, 353, 9732, 13, 4706, 736, 1962, 13, 2 ]
pnacl/driver/tests/filetype_test.py	kapkic/native_client	1	88349	<reponame>kapkic/native_client<filename>pnacl/driver/tests/filetype_test.py #!/usr/bin/python2 # Copyright (c) 2013 The Native Client Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import unittest from driver_env import env import driver_test_utils import driver_tools import filetype class TestFiletypeCache(driver_test_utils.DriverTesterCommon): def setUp(self): super(TestFiletypeCache, self).setUp() driver_test_utils.ApplyTestEnvOverrides(env) def getFakeLLAndBitcodeFile(self): with self.getTemp(suffix='.ll') as t: with self.getTemp(suffix='.bc') as b: t.write(''' define i32 @main() { ret i32 0 } ''') t.close() b.close() driver_tools.RunDriver('as', [t.name, '-o', b.name]) return t, b def test_ll_bc_filetypes(self): if not driver_test_utils.CanRunHost(): return ll, bc = self.getFakeLLAndBitcodeFile() self.assertTrue(filetype.FileType(ll.name) == 'll') self.assertTrue(filetype.FileType(bc.name) == 'po') self.assertFalse(filetype.IsLLVMBitcode(ll.name)) self.assertTrue(filetype.IsLLVMBitcode(bc.name)) def test_inplace_finalize(self): if not driver_test_utils.CanRunHost(): return ll, bc = self.getFakeLLAndBitcodeFile() self.assertTrue(filetype.FileType(bc.name) == 'po') self.assertTrue(filetype.IsLLVMBitcode(bc.name)) self.assertFalse(filetype.IsPNaClBitcode(bc.name)) driver_tools.RunDriver('finalize', [bc.name]) self.assertFalse(filetype.IsLLVMBitcode(bc.name)) self.assertTrue(filetype.IsPNaClBitcode(bc.name)) self.assertTrue(filetype.FileType(bc.name) == 'pexe')	[ 1, 529, 276, 1112, 420, 29958, 29895, 16681, 293, 29914, 11487, 29918, 4645, 29966, 9507, 29958, 21257, 562, 29880, 29914, 9465, 29914, 21150, 29914, 1445, 1853, 29918, 1688, 29889, 2272, 13, 29937, 14708, 4855, 29914, 2109, 29914, 4691, 29906, 13, 29937, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29941, 450, 19042, 12477, 13189, 943, 29889, 2178, 10462, 21676, 29889, 13, 29937, 4803, 310, 445, 2752, 775, 338, 4095, 287, 491, 263, 350, 7230, 29899, 3293, 19405, 393, 508, 367, 13, 29937, 1476, 297, 278, 365, 2965, 1430, 1660, 934, 29889, 13, 13, 5215, 443, 27958, 13, 13, 3166, 7156, 29918, 6272, 1053, 8829, 13, 5215, 7156, 29918, 1688, 29918, 13239, 13, 5215, 7156, 29918, 8504, 13, 5215, 934, 1853, 13, 13, 13, 1990, 4321, 2283, 1853, 10408, 29898, 9465, 29918, 1688, 29918, 13239, 29889, 12376, 3057, 261, 18877, 1125, 13, 29871, 822, 731, 3373, 29898, 1311, 1125, 13, 1678, 2428, 29898, 3057, 2283, 1853, 10408, 29892, 1583, 467, 842, 3373, 580, 13, 1678, 7156, 29918, 1688, 29918, 13239, 29889, 2052, 368, 3057, 21745, 3563, 24040, 29898, 6272, 29897, 13, 13, 29871, 822, 679, 29943, 1296, 2208, 2855, 21591, 401, 2283, 29898, 1311, 1125, 13, 1678, 411, 1583, 29889, 657, 15637, 29898, 2146, 600, 861, 2433, 29889, 645, 1495, 408, 260, 29901, 13, 418, 411, 1583, 29889, 657, 15637, 29898, 2146, 600, 861, 2433, 29889, 12328, 1495, 408, 289, 29901, 13, 4706, 260, 29889, 3539, 877, 4907, 13, 7922, 474, 29941, 29906, 732, 3396, 580, 426, 13, 29871, 3240, 474, 29941, 29906, 29871, 29900, 13, 29913, 13, 4907, 1495, 13, 4706, 260, 29889, 5358, 580, 13, 4706, 289, 29889, 5358, 580, 13, 4706, 7156, 29918, 8504, 29889, 6558, 12376, 877, 294, 742, 518, 29873, 29889, 978, 29892, 17411, 29877, 742, 289, 29889, 978, 2314, 13, 4706, 736, 260, 29892, 289, 13, 13, 29871, 822, 1243, 29918, 645, 29918, 12328, 29918, 1445, 8768, 29898, 1311, 1125, 13, 1678, 565, 451, 7156, 29918, 1688, 29918, 13239, 29889, 6028, 6558, 8514, 7295, 13, 418, 736, 13, 1678, 11148, 29892, 289, 29883, 353, 1583, 29889, 657, 29943, 1296, 2208, 2855, 21591, 401, 2283, 580, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 2283, 1542, 29898, 645, 29889, 978, 29897, 1275, 525, 645, 1495, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 2283, 1542, 29898, 12328, 29889, 978, 29897, 1275, 525, 1129, 1495, 13, 1678, 1583, 29889, 9294, 8824, 29898, 1445, 1853, 29889, 3624, 2208, 9219, 21591, 401, 29898, 645, 29889, 978, 876, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 3624, 2208, 9219, 21591, 401, 29898, 12328, 29889, 978, 876, 13, 13, 29871, 822, 1243, 29918, 262, 6689, 29918, 8394, 675, 29898, 1311, 1125, 13, 1678, 565, 451, 7156, 29918, 1688, 29918, 13239, 29889, 6028, 6558, 8514, 7295, 13, 418, 736, 13, 1678, 11148, 29892, 289, 29883, 353, 1583, 29889, 657, 29943, 1296, 2208, 2855, 21591, 401, 2283, 580, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 2283, 1542, 29898, 12328, 29889, 978, 29897, 1275, 525, 1129, 1495, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 3624, 2208, 9219, 21591, 401, 29898, 12328, 29889, 978, 876, 13, 1678, 1583, 29889, 9294, 8824, 29898, 1445, 1853, 29889, 3624, 29925, 13695, 6821, 21591, 401, 29898, 12328, 29889, 978, 876, 13, 1678, 7156, 29918, 8504, 29889, 6558, 12376, 877, 8394, 675, 742, 518, 12328, 29889, 978, 2314, 13, 1678, 1583, 29889, 9294, 8824, 29898, 1445, 1853, 29889, 3624, 2208, 9219, 21591, 401, 29898, 12328, 29889, 978, 876, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 3624, 29925, 13695, 6821, 21591, 401, 29898, 12328, 29889, 978, 876, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 2283, 1542, 29898, 12328, 29889, 978, 29897, 1275, 525, 412, 17115, 1495, 13, 2 ]
iwant/core/messagebaker.py	nirvik/iWant	323	107514	<gh_stars>100-1000 import json from functools import wraps import time_uuid from constants import INDEXED, LEADER_NOT_READY,\ ERROR_LIST_ALL_FILES, LEADER,\ HASH_DUMP, FILE_SYS_EVENT, SEARCH_REQ, SEARCH_RES, \ LOOKUP, IWANT_PEER_FILE, PEER_LOOKUP_RESPONSE,\ SEND_PEER_DETAILS, FILE_DETAILS_RESP, INIT_FILE_REQ, \ FILE_TO_BE_DOWNLOADED, DEAD,\ NEW_PEER, BCAST_LEDGER, NEW_LEADER, REMOVE_LEADER, \ SECRET_VAL, HANDLE_PONG, FACE_OFF,\ RE_ELECTION, ALIVE, HANDLE_ALIVE,\ HANDLE_PING, REQ_CHUNK, END_GAME, FILE_CONFIRMATION_MESSAGE,\ INTERESTED, UNCHOKE, PEER_DEAD, CHANGE, SHARE, NEW_DOWNLOAD_FOLDER_RES,\ NEW_SHARED_FOLDER_RES, HASH_IDENTITY_RESPONSE, GET_HASH_IDENTITY, HASH_NOT_PRESENT def finishing(func): @wraps(func) def jsonify(key, kwargs): _EOL = '\r' return json.dumps(func(key, kwargs)) + _EOL return jsonify @finishing def bake(key, **kwargs): ''' This utility is for crafting `action messages` to be sent across the network. The `action_msg` contains `type` and `payload` ''' action_msg = {} action_msg['type'] = key action_msg['payload'] = None payload = {} def _craft_new_peer_msg(): # print NEW_PEER, kwargs try: payload['identity'] = kwargs['identity'].hex except: payload['identity'] = None try: payload['leader_id'] = kwargs['leader_id'].hex except: payload['leader_id'] = None action_msg['payload'] = payload return action_msg def _craft_remove_leader_msg(): # print REMOVE_LEADER payload['leader_id'] = kwargs['leader_id'].hex action_msg['payload'] = payload return action_msg def _craft_re_election_msg(): # print RE_ELECTION payload['election_id'] = kwargs['election_id'] action_msg['payload'] = payload return action_msg def _craft_handle_pong_msg(): # print HANDLE_PONG payload['secret_value'] = kwargs['secret_value'] action_msg['payload'] = payload return action_msg def _craft_new_leader_msg(): # print NEW_LEADER payload['leader_id'] = kwargs['leader_id'].hex payload['election_id'] = kwargs['election_id'] payload['secret_value'] = kwargs['secret_value'] action_msg['payload'] = payload return action_msg def _craft_alive_msg(): # print ALIVE payload['election_id'] = kwargs['election_id'] action_msg['payload'] = payload return action_msg def _craft_handle_alive_msg(): # print HANDLE_ALIVE payload['election_id'] = kwargs['election_id'] action_msg['payload'] = payload return action_msg def _craft_handle_ping_msg(): payload['ping'] = kwargs['ping'] action_msg['payload'] = payload return action_msg def _craft_bcast_ledger_msg(): try: payload['leader_id'] = kwargs['leader_id'].hex except AttributeError: payload['leader_id'] = None ledger = {} for uuid, value in kwargs['ledger'].iteritems(): ledger[uuid.hex] = value payload['ledger'] = ledger payload['secret_value'] = kwargs['secret_value'] action_msg['payload'] = payload return action_msg def _craft_secret_val_msg(): # print SECRET_VAL payload['secret_value'] = kwargs['secret_value'] action_msg['payload'] = payload return action_msg def _craft_face_off_msg(): # print FACE_OFF payload['with_leader'] = kwargs['with_leader'] action_msg['payload'] = payload return action_msg def _craft_dead_msg(): try: payload['dead_uuid'] = kwargs['dead_uuid'].hex except AttributeError: payload['dead_uuid'] = None payload['secret_value'] = kwargs['secret_value'] action_msg['payload'] = payload return action_msg # SERVER MESSAGES def _craft_unchoke_msg(): payload['unchoke'] = kwargs['unchoke'] action_msg['payload'] = payload return action_msg def _craft_error_list_all_files_msg(): payload['reason'] = kwargs['reason'] action_msg['payload'] = payload return action_msg def _craft_leader_not_ready_msg(): payload['reason'] = kwargs['reason'] action_msg['payload'] = payload return action_msg def _craft_search_response_msg(): payload['search_query_response'] = kwargs['search_query_response'] action_msg['payload'] = payload return action_msg def _craft_peer_lookup_response_msg(): payload['peer_lookup_response'] = kwargs['peer_lookup_response'] action_msg['payload'] = payload return action_msg def _craft_hash_dump_msg(): payload['identity'] = kwargs['identity'].hex payload['operation'] = kwargs['operation'] action_msg['payload'] = payload return action_msg def _craft_init_file_req_msg(): payload['filehash'] = kwargs['filehash'] action_msg['payload'] = payload return action_msg def _craft_leader_msg(): payload['leader'] = kwargs['leader'] action_msg['payload'] = payload return action_msg def _craft_peer_dead_msg(): try: payload['dead_uuid'] = kwargs['dead_uuid'].hex except AttributeError: payload['dead_uuid'] = None action_msg['payload'] = payload return action_msg def _craft_file_sys_event_msg(): payload['ADD'] = kwargs['ADD'] payload['DEL'] = kwargs['DEL'] payload['shared_folder'] = kwargs['shared_folder'] action_msg['payload'] = payload return action_msg def _craft_search_req_msg(): payload['search_query'] = kwargs['search_query'] action_msg['payload'] = payload return action_msg def _craft_lookup_msg(): payload['search_query'] = kwargs['search_query'] action_msg['payload'] = payload return action_msg def _craft_iwant_peer_file_msg(): payload['filehash'] = kwargs['filehash'] action_msg['payload'] = payload return action_msg def _craft_send_peer_details_msg(): payload['filehash'] = kwargs['filehash'] action_msg['payload'] = payload return action_msg def _craft_indexed_msg(): payload['ADD'] = kwargs['ADD'] payload['DEL'] = kwargs['DEL'] payload['shared_folder'] = kwargs['shared_folder'] action_msg['payload'] = payload return action_msg def _craft_req_chunk_msg(): payload['piece_data'] = kwargs['piece_data'] action_msg['payload'] = payload # print action_msg return action_msg def _craft_end_game_msg(): payload['end_game'] = kwargs['end_game'] action_msg['payload'] = payload return action_msg def _craft_file_details_resp(): pass def _craft_file_to_be_downloaded_msg(): # payload['filesize'] = kwargs['filesize'] # payload['filename'] = kwargs['filename'] payload['message'] = kwargs['message'] action_msg['payload'] = payload return action_msg def _craft_interested_msg(): payload['filehash'] = kwargs['filehash'] action_msg['payload'] = payload return action_msg def _craft_file_confirmation_message(): payload['piecehashes'] = kwargs['piecehashes'] action_msg['payload'] = payload return action_msg def _craft_change_download_path_msg(): payload['download_folder'] = kwargs['download_folder'] action_msg['payload'] = payload return action_msg def _craft_share_new_folder_msg(): payload['shared_folder'] = kwargs['shared_folder'] action_msg['payload'] = payload return action_msg def _craft_new_download_folder_response_msg(): payload['download_folder_response'] = kwargs[ 'download_folder_response'] action_msg['payload'] = payload return action_msg def _craft_new_shared_folder_response_msg(): payload['shared_folder_response'] = kwargs['shared_folder_response'] action_msg['payload'] = payload return action_msg def _craft_get_hash_identity_msg(): payload['checksum'] = kwargs['checksum'] action_msg['payload'] = payload return action_msg def _craft_hash_identity_response_msg(): payload['file_structure_response'] = kwargs['file_structure_response'] action_msg['payload'] = payload return action_msg def _craft_hash_not_present_msg(): payload['reason'] = kwargs['reason'] action_msg['payload'] = payload return action_msg dispatcher = { NEW_PEER: _craft_new_peer_msg, REMOVE_LEADER: _craft_remove_leader_msg, RE_ELECTION: _craft_re_election_msg, HANDLE_PONG: _craft_handle_pong_msg, NEW_LEADER: _craft_new_leader_msg, ALIVE: _craft_alive_msg, HANDLE_PING: _craft_handle_ping_msg, HANDLE_ALIVE: _craft_handle_alive_msg, BCAST_LEDGER: _craft_bcast_ledger_msg, SECRET_VAL: _craft_secret_val_msg, FACE_OFF: _craft_face_off_msg, DEAD: _craft_dead_msg, UNCHOKE: _craft_unchoke_msg, ERROR_LIST_ALL_FILES: _craft_error_list_all_files_msg, LEADER_NOT_READY: _craft_leader_not_ready_msg, SEARCH_RES: _craft_search_response_msg, HASH_DUMP: _craft_hash_dump_msg, INIT_FILE_REQ: _craft_init_file_req_msg, LEADER: _craft_leader_msg, PEER_DEAD: _craft_peer_dead_msg, FILE_SYS_EVENT: _craft_file_sys_event_msg, SEARCH_REQ: _craft_search_req_msg, LOOKUP: _craft_lookup_msg, IWANT_PEER_FILE: _craft_iwant_peer_file_msg, SEND_PEER_DETAILS: _craft_send_peer_details_msg, PEER_LOOKUP_RESPONSE: _craft_peer_lookup_response_msg, INDEXED: _craft_indexed_msg, REQ_CHUNK: _craft_req_chunk_msg, END_GAME: _craft_end_game_msg, INTERESTED: _craft_interested_msg, FILE_DETAILS_RESP: _craft_file_details_resp, FILE_CONFIRMATION_MESSAGE: _craft_file_confirmation_message, FILE_TO_BE_DOWNLOADED: _craft_file_to_be_downloaded_msg, CHANGE: _craft_change_download_path_msg, SHARE: _craft_share_new_folder_msg, NEW_DOWNLOAD_FOLDER_RES: _craft_new_download_folder_response_msg, NEW_SHARED_FOLDER_RES: _craft_new_shared_folder_response_msg, GET_HASH_IDENTITY: _craft_get_hash_identity_msg, HASH_IDENTITY_RESPONSE: _craft_hash_identity_response_msg, HASH_NOT_PRESENT: _craft_hash_not_present_msg } return dispatcher[key]() def unbake(message=None): json_msg = json.loads(message) if 'leader_id' in json_msg['payload']: leader_uuid = json_msg['payload']['leader_id'] if leader_uuid is not None: json_msg['payload']['leader_id'] = time_uuid.TimeUUID(leader_uuid) if 'identity' in json_msg['payload']: identity_uuid = json_msg['payload']['identity'] if identity_uuid is not None: json_msg['payload']['identity'] = time_uuid.TimeUUID(identity_uuid) if 'dead_uuid' in json_msg['payload']: dead_uuid = json_msg['payload']['dead_uuid'] if dead_uuid is not None: json_msg['payload']['dead_uuid'] = time_uuid.TimeUUID(dead_uuid) if 'ledger' in json_msg['payload']: ledger = {} ledger_response = json_msg['payload']['ledger'] if ledger_response: for uuid, values in ledger_response.iteritems(): ledger[time_uuid.TimeUUID(uuid)] = values json_msg['payload']['ledger'] = ledger action_dispatcher, action_payload = json_msg['type'], json_msg['payload'] return action_dispatcher, action_payload	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29900, 29899, 29896, 29900, 29900, 29900, 13, 5215, 4390, 13, 3166, 2090, 312, 8789, 1053, 11463, 567, 13, 5215, 931, 29918, 25118, 13, 3166, 17727, 1053, 2672, 19577, 3352, 29892, 11060, 3035, 1001, 29918, 12256, 29918, 16310, 29979, 2053, 13, 1678, 14431, 29918, 24360, 29918, 9818, 29918, 24483, 29892, 11060, 3035, 1001, 2053, 13, 1678, 379, 24943, 29918, 14849, 3580, 29892, 24080, 29918, 14816, 29903, 29918, 22240, 3919, 29892, 3725, 1718, 3210, 29918, 1525, 29984, 29892, 3725, 1718, 3210, 29918, 15989, 29892, 320, 13, 1678, 11247, 8949, 4897, 29892, 306, 29956, 13566, 29918, 4162, 1001, 29918, 7724, 29892, 349, 29923, 1001, 29918, 3927, 8949, 4897, 29918, 1525, 5550, 1164, 1660, 2053, 13, 1678, 317, 11794, 29918, 4162, 1001, 29918, 2287, 6040, 6227, 29903, 29892, 24080, 29918, 2287, 6040, 6227, 29903, 29918, 1525, 5550, 29892, 2672, 1806, 29918, 7724, 29918, 1525, 29984, 29892, 320, 13, 1678, 24080, 29918, 4986, 29918, 15349, 29918, 3970, 16048, 3927, 29909, 2287, 29928, 29892, 5012, 3035, 2053, 13, 1678, 29091, 29918, 4162, 1001, 29892, 350, 5454, 1254, 29918, 20566, 17070, 29892, 29091, 29918, 1307, 3035, 1001, 29892, 5195, 6720, 12064, 29918, 1307, 3035, 1001, 29892, 320, 13, 1678, 3725, 22245, 29911, 29918, 8932, 29892, 379, 9468, 1307, 29918, 29925, 20614, 29892, 383, 11538, 29918, 27681, 2053, 13, 1678, 5195, 29918, 29923, 3281, 2725, 29892, 319, 5265, 12064, 29892, 379, 9468, 1307, 29918, 1964, 18474, 2053, 13, 1678, 379, 9468, 1307, 29918, 29925, 4214, 29892, 5195, 29984, 29918, 3210, 3904, 29968, 29892, 11056, 29918, 12739, 2303, 29892, 24080, 29918, 6007, 3738, 29934, 29924, 8098, 29918, 2303, 1799, 10461, 2053, 13, 1678, 2672, 4945, 29923, 1254, 3352, 29892, 8291, 3210, 29949, 6059, 29892, 349, 29923, 1001, 29918, 2287, 3035, 29892, 5868, 24336, 29892, 317, 15715, 1525, 29892, 29091, 29918, 3970, 16048, 29428, 29918, 29943, 5607, 8032, 29918, 15989, 2053, 13, 1678, 29091, 29918, 23498, 19386, 29918, 29943, 5607, 8032, 29918, 15989, 29892, 379, 24943, 29918, 1367, 3919, 11937, 29918, 1525, 5550, 1164, 1660, 29892, 12354, 29918, 29950, 24943, 29918, 1367, 3919, 11937, 29892, 379, 24943, 29918, 12256, 29918, 15094, 29903, 3919, 13, 13, 13, 1753, 28321, 29898, 9891, 1125, 13, 1678, 732, 29893, 336, 567, 29898, 9891, 29897, 13, 1678, 822, 4390, 1598, 29898, 1989, 29892, 3579, 19290, 1125, 13, 4706, 903, 29923, 5607, 353, 11297, 29878, 29915, 13, 4706, 736, 4390, 29889, 29881, 17204, 29898, 9891, 29898, 1989, 29892, 3579, 19290, 876, 718, 903, 29923, 5607, 13, 1678, 736, 4390, 1598, 13, 13, 13, 29992, 4951, 14424, 13, 1753, 289, 1296, 29898, 1989, 29892, 3579, 19290, 1125, 13, 1678, 14550, 13, 4706, 910, 19725, 338, 363, 25554, 292, 421, 2467, 7191, 29952, 304, 367, 2665, 4822, 278, 3564, 29889, 13, 4706, 450, 421, 2467, 29918, 7645, 29952, 3743, 421, 1853, 29952, 322, 421, 23813, 29952, 13, 1678, 14550, 13, 1678, 3158, 29918, 7645, 353, 6571, 13, 1678, 3158, 29918, 7645, 1839, 1853, 2033, 353, 1820, 13, 1678, 3158, 29918, 7645, 1839, 23813, 2033, 353, 6213, 13, 1678, 20092, 353, 6571, 13, 13, 1678, 822, 903, 17293, 29918, 1482, 29918, 412, 261, 29918, 7645, 7295, 13, 4706, 396, 1596, 29091, 29918, 4162, 1001, 29892, 9049, 5085, 13, 4706, 1018, 29901, 13, 9651, 20092, 1839, 22350, 2033, 353, 9049, 5085, 1839, 22350, 13359, 20970, 13, 4706, 5174, 29901, 13, 9651, 20092, 1839, 22350, 2033, 353, 6213, 13, 4706, 1018, 29901, 13, 9651, 20092, 1839, 280, 1664, 29918, 333, 2033, 353, 9049, 5085, 1839, 280, 1664, 29918, 333, 13359, 20970, 13, 4706, 5174, 29901, 13, 9651, 20092, 1839, 280, 1664, 29918, 333, 2033, 353, 6213, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 5992, 29918, 280, 1664, 29918, 7645, 7295, 13, 4706, 396, 1596, 5195, 6720, 12064, 29918, 1307, 3035, 1001, 13, 4706, 20092, 1839, 280, 1664, 29918, 333, 2033, 353, 9049, 5085, 1839, 280, 1664, 29918, 333, 13359, 20970, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 276, 29918, 29872, 1464, 29918, 7645, 7295, 13, 4706, 396, 1596, 5195, 29918, 29923, 3281, 2725, 13, 4706, 20092, 1839, 29872, 1464, 29918, 333, 2033, 353, 9049, 5085, 1839, 29872, 1464, 29918, 333, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 8411, 29918, 29886, 549, 29918, 7645, 7295, 13, 4706, 396, 1596, 379, 9468, 1307, 29918, 29925, 20614, 13, 4706, 20092, 1839, 19024, 29918, 1767, 2033, 353, 9049, 5085, 1839, 19024, 29918, 1767, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1482, 29918, 280, 1664, 29918, 7645, 7295, 13, 4706, 396, 1596, 29091, 29918, 1307, 3035, 1001, 13, 4706, 20092, 1839, 280, 1664, 29918, 333, 2033, 353, 9049, 5085, 1839, 280, 1664, 29918, 333, 13359, 20970, 13, 4706, 20092, 1839, 29872, 1464, 29918, 333, 2033, 353, 9049, 5085, 1839, 29872, 1464, 29918, 333, 2033, 13, 4706, 20092, 1839, 19024, 29918, 1767, 2033, 353, 9049, 5085, 1839, 19024, 29918, 1767, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 284, 573, 29918, 7645, 7295, 13, 4706, 396, 1596, 319, 5265, 12064, 13, 4706, 20092, 1839, 29872, 1464, 29918, 333, 2033, 353, 9049, 5085, 1839, 29872, 1464, 29918, 333, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 8411, 29918, 284, 573, 29918, 7645, 7295, 13, 4706, 396, 1596, 379, 9468, 1307, 29918, 1964, 18474, 13, 4706, 20092, 1839, 29872, 1464, 29918, 333, 2033, 353, 9049, 5085, 1839, 29872, 1464, 29918, 333, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 8411, 29918, 15702, 29918, 7645, 7295, 13, 4706, 20092, 1839, 15702, 2033, 353, 9049, 5085, 1839, 15702, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 29890, 4384, 29918, 839, 914, 29918, 7645, 7295, 13, 4706, 1018, 29901, 13, 9651, 20092, 1839, 280, 1664, 29918, 333, 2033, 353, 9049, 5085, 1839, 280, 1664, 29918, 333, 13359, 20970, 13, 4706, 5174, 23833, 2392, 29901, 13, 9651, 20092, 1839, 280, 1664, 29918, 333, 2033, 353, 6213, 13, 4706, 5331, 914, 353, 6571, 13, 4706, 363, 318, 5416, 29892, 995, 297, 9049, 5085, 1839, 839, 914, 13359, 1524, 7076, 7295, 13, 9651, 5331, 914, 29961, 25118, 29889, 20970, 29962, 353, 995, 13, 4706, 20092, 1839, 839, 914, 2033, 353, 5331, 914, 13, 4706, 20092, 1839, 19024, 29918, 1767, 2033, 353, 9049, 5085, 1839, 19024, 29918, 1767, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 19024, 29918, 791, 29918, 7645, 7295, 13, 4706, 396, 1596, 3725, 22245, 29911, 29918, 8932, 13, 4706, 20092, 1839, 19024, 29918, 1767, 2033, 353, 9049, 5085, 1839, 19024, 29918, 1767, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 2161, 29918, 2696, 29918, 7645, 7295, 13, 4706, 396, 1596, 383, 11538, 29918, 27681, 13, 4706, 20092, 1839, 2541, 29918, 280, 1664, 2033, 353, 9049, 5085, 1839, 2541, 29918, 280, 1664, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 311, 328, 29918, 7645, 7295, 13, 4706, 1018, 29901, 13, 9651, 20092, 1839, 311, 328, 29918, 25118, 2033, 353, 9049, 5085, 1839, 311, 328, 29918, 25118, 13359, 20970, 13, 4706, 5174, 23833, 2392, 29901, 13, 9651, 20092, 1839, 311, 328, 29918, 25118, 2033, 353, 6213, 13, 4706, 20092, 1839, 19024, 29918, 1767, 2033, 353, 9049, 5085, 1839, 19024, 29918, 1767, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 396, 26996, 5348, 22986, 1799, 10461, 29903, 13, 1678, 822, 903, 17293, 29918, 348, 1859, 446, 29918, 7645, 7295, 13, 4706, 20092, 1839, 348, 1859, 446, 2033, 353, 9049, 5085, 1839, 348, 1859, 446, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 2704, 29918, 1761, 29918, 497, 29918, 5325, 29918, 7645, 7295, 13, 4706, 20092, 1839, 23147, 2033, 353, 9049, 5085, 1839, 23147, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 280, 1664, 29918, 1333, 29918, 2040, 29918, 7645, 7295, 13, 4706, 20092, 1839, 23147, 2033, 353, 9049, 5085, 1839, 23147, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 4478, 29918, 5327, 29918, 7645, 7295, 13, 4706, 20092, 1839, 4478, 29918, 1972, 29918, 5327, 2033, 353, 9049, 5085, 1839, 4478, 29918, 1972, 29918, 5327, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 412, 261, 29918, 20401, 29918, 5327, 29918, 7645, 7295, 13, 4706, 20092, 1839, 412, 261, 29918, 20401, 29918, 5327, 2033, 353, 9049, 5085, 1839, 412, 261, 29918, 20401, 29918, 5327, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 8568, 29918, 15070, 29918, 7645, 7295, 13, 4706, 20092, 1839, 22350, 2033, 353, 9049, 5085, 1839, 22350, 13359, 20970, 13, 4706, 20092, 1839, 16453, 2033, 353, 9049, 5085, 1839, 16453, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 2344, 29918, 1445, 29918, 7971, 29918, 7645, 7295, 13, 4706, 20092, 1839, 1445, 8568, 2033, 353, 9049, 5085, 1839, 1445, 8568, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 280, 1664, 29918, 7645, 7295, 13, 4706, 20092, 1839, 280, 1664, 2033, 353, 9049, 5085, 1839, 280, 1664, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 412, 261, 29918, 311, 328, 29918, 7645, 7295, 13, 4706, 1018, 29901, 13, 9651, 20092, 1839, 311, 328, 29918, 25118, 2033, 353, 9049, 5085, 1839, 311, 328, 29918, 25118, 13359, 20970, 13, 4706, 5174, 23833, 2392, 29901, 13, 9651, 20092, 1839, 311, 328, 29918, 25118, 2033, 353, 6213, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1445, 29918, 9675, 29918, 3696, 29918, 7645, 7295, 13, 4706, 20092, 1839, 17744, 2033, 353, 9049, 5085, 1839, 17744, 2033, 13, 4706, 20092, 1839, 2287, 29931, 2033, 353, 9049, 5085, 1839, 2287, 29931, 2033, 13, 4706, 20092, 1839, 12366, 29918, 12083, 2033, 353, 9049, 5085, 1839, 12366, 29918, 12083, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 4478, 29918, 7971, 29918, 7645, 7295, 13, 4706, 20092, 1839, 4478, 29918, 1972, 2033, 353, 9049, 5085, 1839, 4478, 29918, 1972, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 20401, 29918, 7645, 7295, 13, 4706, 20092, 1839, 4478, 29918, 1972, 2033, 353, 9049, 5085, 1839, 4478, 29918, 1972, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 9429, 424, 29918, 412, 261, 29918, 1445, 29918, 7645, 7295, 13, 4706, 20092, 1839, 1445, 8568, 2033, 353, 9049, 5085, 1839, 1445, 8568, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 6717, 29918, 412, 261, 29918, 14144, 29918, 7645, 7295, 13, 4706, 20092, 1839, 1445, 8568, 2033, 353, 9049, 5085, 1839, 1445, 8568, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 2248, 287, 29918, 7645, 7295, 13, 4706, 20092, 1839, 17744, 2033, 353, 9049, 5085, 1839, 17744, 2033, 13, 4706, 20092, 1839, 2287, 29931, 2033, 353, 9049, 5085, 1839, 2287, 29931, 2033, 13, 4706, 20092, 1839, 12366, 29918, 12083, 2033, 353, 9049, 5085, 1839, 12366, 29918, 12083, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 7971, 29918, 29812, 29918, 7645, 7295, 13, 4706, 20092, 1839, 12343, 346, 29918, 1272, 2033, 353, 9049, 5085, 1839, 12343, 346, 29918, 1272, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 396, 1596, 3158, 29918, 7645, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 355, 29918, 11802, 29918, 7645, 7295, 13, 4706, 20092, 1839, 355, 29918, 11802, 2033, 353, 9049, 5085, 1839, 355, 29918, 11802, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1445, 29918, 14144, 29918, 13713, 7295, 13, 4706, 1209, 13, 13, 1678, 822, 903, 17293, 29918, 1445, 29918, 517, 29918, 915, 29918, 10382, 287, 29918, 7645, 7295, 13, 4706, 396, 20092, 1839, 5325, 675, 2033, 353, 9049, 5085, 1839, 5325, 675, 2033, 13, 4706, 396, 20092, 1839, 9507, 2033, 353, 9049, 5085, 1839, 9507, 2033, 13, 4706, 20092, 1839, 4906, 2033, 353, 9049, 5085, 1839, 4906, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1639, 2868, 29918, 7645, 7295, 13, 4706, 20092, 1839, 1445, 8568, 2033, 353, 9049, 5085, 1839, 1445, 8568, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1445, 29918, 26897, 362, 29918, 4906, 7295, 13, 4706, 20092, 1839, 12343, 346, 8568, 267, 2033, 353, 9049, 5085, 1839, 12343, 346, 8568, 267, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 3167, 29918, 10382, 29918, 2084, 29918, 7645, 7295, 13, 4706, 20092, 1839, 10382, 29918, 12083, 2033, 353, 9049, 5085, 1839, 10382, 29918, 12083, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 13653, 29918, 1482, 29918, 12083, 29918, 7645, 7295, 13, 4706, 20092, 1839, 12366, 29918, 12083, 2033, 353, 9049, 5085, 1839, 12366, 29918, 12083, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1482, 29918, 10382, 29918, 12083, 29918, 5327, 29918, 7645, 7295, 13, 4706, 20092, 1839, 10382, 29918, 12083, 29918, 5327, 2033, 353, 9049, 5085, 29961, 13, 9651, 525, 10382, 29918, 12083, 29918, 5327, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1482, 29918, 12366, 29918, 12083, 29918, 5327, 29918, 7645, 7295, 13, 4706, 20092, 1839, 12366, 29918, 12083, 29918, 5327, 2033, 353, 9049, 5085, 1839, 12366, 29918, 12083, 29918, 5327, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 657, 29918, 8568, 29918, 22350, 29918, 7645, 7295, 13, 4706, 20092, 1839, 3198, 2083, 2033, 353, 9049, 5085, 1839, 3198, 2083, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 8568, 29918, 22350, 29918, 5327, 29918, 7645, 7295, 13, 4706, 20092, 1839, 1445, 29918, 23905, 29918, 5327, 2033, 353, 9049, 5085, 1839, 1445, 29918, 23905, 29918, 5327, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 8568, 29918, 1333, 29918, 6338, 29918, 7645, 7295, 13, 4706, 20092, 1839, 23147, 2033, 353, 9049, 5085, 1839, 23147, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 13916, 261, 353, 426, 13, 4706, 29091, 29918, 4162, 1001, 29901, 903, 17293, 29918, 1482, 29918, 412, 261, 29918, 7645, 29892, 13, 4706, 5195, 6720, 12064, 29918, 1307, 3035, 1001, 29901, 903, 17293, 29918, 5992, 29918, 280, 1664, 29918, 7645, 29892, 13, 4706, 5195, 29918, 29923, 3281, 2725, 29901, 903, 17293, 29918, 276, 29918, 29872, 1464, 29918, 7645, 29892, 13, 4706, 379, 9468, 1307, 29918, 29925, 20614, 29901, 903, 17293, 29918, 8411, 29918, 29886, 549, 29918, 7645, 29892, 13, 4706, 29091, 29918, 1307, 3035, 1001, 29901, 903, 17293, 29918, 1482, 29918, 280, 1664, 29918, 7645, 29892, 13, 4706, 319, 5265, 12064, 29901, 903, 17293, 29918, 284, 573, 29918, 7645, 29892, 13, 4706, 379, 9468, 1307, 29918, 29925, 4214, 29901, 903, 17293, 29918, 8411, 29918, 15702, 29918, 7645, 29892, 13, 4706, 379, 9468, 1307, 29918, 1964, 18474, 29901, 903, 17293, 29918, 8411, 29918, 284, 573, 29918, 7645, 29892, 13, 4706, 350, 5454, 1254, 29918, 20566, 17070, 29901, 903, 17293, 29918, 29890, 4384, 29918, 839, 914, 29918, 7645, 29892, 13, 4706, 3725, 22245, 29911, 29918, 8932, 29901, 903, 17293, 29918, 19024, 29918, 791, 29918, 7645, 29892, 13, 4706, 383, 11538, 29918, 27681, 29901, 903, 17293, 29918, 2161, 29918, 2696, 29918, 7645, 29892, 13, 4706, 5012, 3035, 29901, 903, 17293, 29918, 311, 328, 29918, 7645, 29892, 13, 13, 4706, 8291, 3210, 29949, 6059, 29901, 903, 17293, 29918, 348, 1859, 446, 29918, 7645, 29892, 13, 4706, 14431, 29918, 24360, 29918, 9818, 29918, 24483, 29901, 903, 17293, 29918, 2704, 29918, 1761, 29918, 497, 29918, 5325, 29918, 7645, 29892, 13, 4706, 11060, 3035, 1001, 29918, 12256, 29918, 16310, 29979, 29901, 903, 17293, 29918, 280, 1664, 29918, 1333, 29918, 2040, 29918, 7645, 29892, 13, 4706, 3725, 1718, 3210, 29918, 15989, 29901, 903, 17293, 29918, 4478, 29918, 5327, 29918, 7645, 29892, 13, 4706, 379, 24943, 29918, 14849, 3580, 29901, 903, 17293, 29918, 8568, 29918, 15070, 29918, 7645, 29892, 13, 4706, 2672, 1806, 29918, 7724, 29918, 1525, 29984, 29901, 903, 17293, 29918, 2344, 29918, 1445, 29918, 7971, 29918, 7645, 29892, 13, 4706, 11060, 3035, 1001, 29901, 903, 17293, 29918, 280, 1664, 29918, 7645, 29892, 13, 4706, 349, 29923, 1001, 29918, 2287, 3035, 29901, 903, 17293, 29918, 412, 261, 29918, 311, 328, 29918, 7645, 29892, 13, 4706, 24080, 29918, 14816, 29903, 29918, 22240, 3919, 29901, 903, 17293, 29918, 1445, 29918, 9675, 29918, 3696, 29918, 7645, 29892, 13, 4706, 3725, 1718, 3210, 29918, 1525, 29984, 29901, 903, 17293, 29918, 4478, 29918, 7971, 29918, 7645, 29892, 13, 4706, 11247, 8949, 4897, 29901, 903, 17293, 29918, 20401, 29918, 7645, 29892, 13, 4706, 306, 29956, 13566, 29918, 4162, 1001, 29918, 7724, 29901, 903, 17293, 29918, 9429, 424, 29918, 412, 261, 29918, 1445, 29918, 7645, 29892, 13, 4706, 317, 11794, 29918, 4162, 1001, 29918, 2287, 6040, 6227, 29903, 29901, 903, 17293, 29918, 6717, 29918, 412, 261, 29918, 14144, 29918, 7645, 29892, 13, 4706, 349, 29923, 1001, 29918, 3927, 8949, 4897, 29918, 1525, 5550, 1164, 1660, 29901, 903, 17293, 29918, 412, 261, 29918, 20401, 29918, 5327, 29918, 7645, 29892, 13, 4706, 2672, 19577, 3352, 29901, 903, 17293, 29918, 2248, 287, 29918, 7645, 29892, 13, 4706, 5195, 29984, 29918, 3210, 3904, 29968, 29901, 903, 17293, 29918, 7971, 29918, 29812, 29918, 7645, 29892, 13, 4706, 11056, 29918, 12739, 2303, 29901, 903, 17293, 29918, 355, 29918, 11802, 29918, 7645, 29892, 13, 4706, 2672, 4945, 29923, 1254, 3352, 29901, 903, 17293, 29918, 1639, 2868, 29918, 7645, 29892, 13, 4706, 24080, 29918, 2287, 6040, 6227, 29903, 29918, 1525, 5550, 29901, 903, 17293, 29918, 1445, 29918, 14144, 29918, 13713, 29892, 13, 4706, 24080, 29918, 6007, 3738, 29934, 29924, 8098, 29918, 2303, 1799, 10461, 29901, 903, 17293, 29918, 1445, 29918, 26897, 362, 29918, 4906, 29892, 13, 4706, 24080, 29918, 4986, 29918, 15349, 29918, 3970, 16048, 3927, 29909, 2287, 29928, 29901, 903, 17293, 29918, 1445, 29918, 517, 29918, 915, 29918, 10382, 287, 29918, 7645, 29892, 13, 13, 4706, 5868, 24336, 29901, 903, 17293, 29918, 3167, 29918, 10382, 29918, 2084, 29918, 7645, 29892, 13, 4706, 317, 15715, 1525, 29901, 903, 17293, 29918, 13653, 29918, 1482, 29918, 12083, 29918, 7645, 29892, 13, 4706, 29091, 29918, 3970, 16048, 29428, 29918, 29943, 5607, 8032, 29918, 15989, 29901, 903, 17293, 29918, 1482, 29918, 10382, 29918, 12083, 29918, 5327, 29918, 7645, 29892, 13, 4706, 29091, 29918, 23498, 19386, 29918, 29943, 5607, 8032, 29918, 15989, 29901, 903, 17293, 29918, 1482, 29918, 12366, 29918, 12083, 29918, 5327, 29918, 7645, 29892, 13, 13, 4706, 12354, 29918, 29950, 24943, 29918, 1367, 3919, 11937, 29901, 903, 17293, 29918, 657, 29918, 8568, 29918, 22350, 29918, 7645, 29892, 13, 4706, 379, 24943, 29918, 1367, 3919, 11937, 29918, 1525, 5550, 1164, 1660, 29901, 903, 17293, 29918, 8568, 29918, 22350, 29918, 5327, 29918, 7645, 29892, 13, 4706, 379, 24943, 29918, 12256, 29918, 15094, 29903, 3919, 29901, 903, 17293, 29918, 8568, 29918, 1333, 29918, 6338, 29918, 7645, 13, 1678, 500, 13, 1678, 736, 13916, 261, 29961, 1989, 29962, 580, 13, 13, 13, 1753, 443, 29890, 1296, 29898, 4906, 29922, 8516, 1125, 13, 1678, 4390, 29918, 7645, 353, 4390, 29889, 18132, 29898, 4906, 29897, 13, 1678, 565, 525, 280, 1664, 29918, 333, 29915, 297, 4390, 29918, 7645, 1839, 23813, 2033, 29901, 13, 4706, 11822, 29918, 25118, 353, 4390, 29918, 7645, 1839, 23813, 16215, 280, 1664, 29918, 333, 2033, 13, 4706, 565, 11822, 29918, 25118, 338, 451, 6213, 29901, 13, 9651, 4390, 29918, 7645, 1839, 23813, 16215, 280, 1664, 29918, 333, 2033, 353, 931, 29918, 25118, 29889, 2481, 29965, 11150, 29898, 280, 1664, 29918, 25118, 29897, 13, 13, 1678, 565, 525, 22350, 29915, 297, 4390, 29918, 7645, 1839, 23813, 2033, 29901, 13, 4706, 10110, 29918, 25118, 353, 4390, 29918, 7645, 1839, 23813, 16215, 22350, 2033, 13, 4706, 565, 10110, 29918, 25118, 338, 451, 6213, 29901, 13, 9651, 4390, 29918, 7645, 1839, 23813, 16215, 22350, 2033, 353, 931, 29918, 25118, 29889, 2481, 29965, 11150, 29898, 22350, 29918, 25118, 29897, 13, 13, 1678, 565, 525, 311, 328, 29918, 25118, 29915, 297, 4390, 29918, 7645, 1839, 23813, 2033, 29901, 13, 4706, 7123, 29918, 25118, 353, 4390, 29918, 7645, 1839, 23813, 16215, 311, 328, 29918, 25118, 2033, 13, 4706, 565, 7123, 29918, 25118, 338, 451, 6213, 29901, 13, 9651, 4390, 29918, 7645, 1839, 23813, 16215, 311, 328, 29918, 25118, 2033, 353, 931, 29918, 25118, 29889, 2481, 29965, 11150, 29898, 311, 328, 29918, 25118, 29897, 13, 13, 1678, 565, 525, 839, 914, 29915, 297, 4390, 29918, 7645, 1839, 23813, 2033, 29901, 13, 4706, 5331, 914, 353, 6571, 13, 4706, 5331, 914, 29918, 5327, 353, 4390, 29918, 7645, 1839, 23813, 16215, 839, 914, 2033, 13, 4706, 565, 5331, 914, 29918, 5327, 29901, 13, 9651, 363, 318, 5416, 29892, 1819, 297, 5331, 914, 29918, 5327, 29889, 1524, 7076, 7295, 13, 18884, 5331, 914, 29961, 2230, 29918, 25118, 29889, 2481, 29965, 11150, 29898, 25118, 4638, 353, 1819, 13, 4706, 4390, 29918, 7645, 1839, 23813, 16215, 839, 914, 2033, 353, 5331, 914, 13, 13, 1678, 3158, 29918, 13369, 261, 29892, 3158, 29918, 23813, 353, 4390, 29918, 7645, 1839, 1853, 7464, 4390, 29918, 7645, 1839, 23813, 2033, 13, 1678, 736, 3158, 29918, 13369, 261, 29892, 3158, 29918, 23813, 13, 2 ]
commands/cmd_twitterflw.py	robinstechprojects/RobinsDiscordAssistant	1	117612	import socket import time import langfile def ex(args, message, client, invoke): args_out = "" if len(args) > 0: args_out = "\n\nAttatched arguments %s" % args.__str__()[1:-1].replace("'", "") argstr = args.__str__()[1:-1].replace("'", "") client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) #create InternetSocket for ipV4 #SOCK_STREAM - TCP SOCK_DGRAM - UDP server_addr = ('172.16.58.3', 1338) client_socket.connect(server_addr) #connect the socket \| UDP does not need connect client_socket.send(bytes("tweetrequest", "utf8")) #send message (byte stream) time.sleep(4) print(argstr) client_socket.send(bytes(argstr, "utf8")) #send message (byte stream) song = client_socket.recv(1024) print(str(song, "utf8")) yield from client.send_message(message.channel, langfile.lang_twitterflw + str(song, "utf8")) client_socket.close()	[ 1, 1053, 9909, 13, 5215, 931, 13, 5215, 6361, 1445, 13, 13, 1753, 429, 29898, 5085, 29892, 2643, 29892, 3132, 29892, 15928, 1125, 13, 13, 1678, 6389, 29918, 449, 353, 5124, 13, 1678, 565, 7431, 29898, 5085, 29897, 1405, 29871, 29900, 29901, 13, 4706, 6389, 29918, 449, 353, 6634, 29876, 29905, 29876, 29930, 4165, 905, 287, 6273, 1273, 29879, 20605, 1273, 6389, 17255, 710, 1649, 580, 29961, 29896, 13018, 29896, 1822, 6506, 703, 29915, 613, 20569, 13, 4706, 1852, 710, 353, 6389, 17255, 710, 1649, 580, 29961, 29896, 13018, 29896, 1822, 6506, 703, 29915, 613, 20569, 13, 4706, 3132, 29918, 11514, 353, 9909, 29889, 11514, 29898, 11514, 29889, 5098, 29918, 1177, 2544, 29892, 9909, 29889, 6156, 7077, 29918, 1254, 1525, 5194, 29897, 396, 3258, 4685, 11373, 363, 10377, 29963, 29946, 13, 29937, 6156, 7077, 29918, 1254, 1525, 5194, 448, 19374, 7791, 7077, 29918, 29928, 29954, 25058, 448, 501, 11191, 13, 4706, 1923, 29918, 10030, 353, 6702, 29896, 29955, 29906, 29889, 29896, 29953, 29889, 29945, 29947, 29889, 29941, 742, 29871, 29896, 29941, 29941, 29947, 29897, 13, 4706, 3132, 29918, 11514, 29889, 6915, 29898, 2974, 29918, 10030, 29897, 396, 6915, 278, 9909, 891, 501, 11191, 947, 451, 817, 4511, 13, 4706, 3132, 29918, 11514, 29889, 6717, 29898, 13193, 703, 29873, 16668, 3827, 613, 376, 9420, 29947, 5783, 396, 6717, 2643, 313, 10389, 4840, 29897, 13, 4706, 931, 29889, 17059, 29898, 29946, 29897, 13, 4706, 1596, 29898, 1191, 710, 29897, 13, 4706, 3132, 29918, 11514, 29889, 6717, 29898, 13193, 29898, 1191, 710, 29892, 376, 9420, 29947, 5783, 396, 6717, 2643, 313, 10389, 4840, 29897, 13, 4706, 4823, 353, 3132, 29918, 11514, 29889, 3757, 29894, 29898, 29896, 29900, 29906, 29946, 29897, 13, 4706, 1596, 29898, 710, 29898, 21453, 29892, 376, 9420, 29947, 5783, 13, 4706, 7709, 515, 3132, 29889, 6717, 29918, 4906, 29898, 4906, 29889, 12719, 29892, 6361, 1445, 29889, 3893, 29918, 24946, 1579, 29893, 718, 851, 29898, 21453, 29892, 376, 9420, 29947, 5783, 13, 13, 4706, 3132, 29918, 11514, 29889, 5358, 580, 13, 2 ]
tools/opt.py	hmtrii/tirg	0	17120	<gh_stars>0 class Opt: def __init__(self): self.dataset = "fashion200k" self.dataset_path = "./dataset/Fashion200k" self.batch_size = 32 self.embed_dim = 512 self.hashing = False self.retrieve_by_random = True	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 1990, 20693, 29901, 13, 12, 1753, 4770, 2344, 12035, 1311, 1125, 13, 12, 12, 1311, 29889, 24713, 353, 376, 29888, 10904, 29906, 29900, 29900, 29895, 29908, 13, 12, 12, 1311, 29889, 24713, 29918, 2084, 353, 376, 6904, 24713, 29914, 29943, 10904, 29906, 29900, 29900, 29895, 29908, 13, 12, 12, 1311, 29889, 16175, 29918, 2311, 353, 29871, 29941, 29906, 13, 12, 12, 1311, 29889, 17987, 29918, 6229, 353, 29871, 29945, 29896, 29906, 13, 12, 12, 1311, 29889, 8568, 292, 353, 7700, 13, 12, 12, 1311, 29889, 276, 509, 2418, 29918, 1609, 29918, 8172, 353, 5852, 2 ]
twistedcaldav/config.py	backwardn/ccs-calendarserver	462	67991	<filename>twistedcaldav/config.py<gh_stars>100-1000 ## # Copyright (c) 2005-2017 Apple Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ## __all__ = [ "Config", "ConfigDict", "ConfigProvider", "ConfigurationError", "config", ] import copy import hashlib import os class ConfigurationError(RuntimeError): """ Invalid server configuration. """ class ConfigDict(dict): """ Dictionary which can be accessed using attribute syntax, because that reads and writes nicer in code. For example: C{config.Thingo.Tiny.Tweak} instead of: C{config["Thingo"]["Tiny"]["Tweak"]} """ def __init__(self, mapping=None): if mapping is not None: for key, value in mapping.iteritems(): self[key] = value def __repr__(self): return "*" + dict.__repr__(self) def __setitem__(self, key, value): if key.startswith("_"): # Names beginning with "_" are reserved for real attributes raise KeyError("Keys may not begin with '_': %s" % (key,)) if isinstance(value, dict) and not isinstance(value, self.__class__): dict.__setitem__(self, key, self.__class__(value)) else: dict.__setitem__(self, key, value) def __setattr__(self, attr, value): if attr.startswith("_"): dict.__setattr__(self, attr, value) else: self[attr] = value def __getattr__(self, attr): if not attr.startswith("_") and attr in self: return self[attr] else: return dict.__getattribute__(self, attr) def __delattr__(self, attr): if not attr.startswith("_") and attr in self: del self[attr] else: dict.__delattr__(self, attr) class ConfigProvider(object): """ Configuration provider, abstraction for config storage/format/defaults. """ def __init__(self, defaults=None): """ Create configuration provider with given defaults. """ self._configFileName = None if defaults is None: self._defaults = ConfigDict() else: self._defaults = ConfigDict(copy.deepcopy(defaults)) self.importedFiles = [] self.includedFiles = [] self.missingFiles = [] def getDefaults(self): """ Return defaults. """ return self._defaults def setDefaults(self, defaults): """ Change defaults. """ self._defaults = ConfigDict(copy.deepcopy(defaults)) def getConfigFileName(self): """ Return current configuration file path and name. """ return self._configFileName def setConfigFileName(self, configFileName): """ Change configuration file path and name for next load operations. """ self._configFileName = configFileName if self._configFileName: self._configFileName = os.path.abspath(configFileName) def hasErrors(self): """ Return true if last load operation encountered any errors. """ return False def loadConfig(self): """ Load the configuration, return a dictionary of settings. """ return self._defaults class Config(object): def __init__(self, provider=None): if not provider: self._provider = ConfigProvider() else: self._provider = provider self._updating = False self._beforeResetHook = None self._afterResetHook = None self._preUpdateHooks = [] self._postUpdateHooks = [] self.reset() def __setattr__(self, attr, value): if "_data" in self.__dict__ and attr in self.__dict__["_data"]: self._data[attr] = value else: self.__dict__[attr] = value # So as not to cause a flurry of updates, don't mark ourselves # dirty when the attribute begins with an underscore if not attr.startswith("_"): self.__dict__["_dirty"] = True _dirty = False _data = () def __getattr__(self, attr): if self._dirty: self.update() if attr in self._data: return self._data[attr] raise AttributeError(attr) def __hasattr__(self, attr): return attr in self._data def __str__(self): return str(self._data) def get(self, attr, defaultValue): parts = attr.split(".") lastDict = self._data for part in parts[:-1]: if part not in lastDict: lastDict[attr] = ConfigDict() lastDict = lastDict.__getattr__(part) configItem = parts[-1] if configItem in lastDict: return lastDict[configItem] else: lastDict[configItem] = defaultValue return defaultValue def addResetHooks(self, before, after): """ Hooks for preserving config across reload( ) + reset( ) Each hook will be passed the config data; whatever the before hook returns will be passed as the second arg to the after hook. """ self._beforeResetHook = before self._afterResetHook = after def addPreUpdateHooks(self, hooks): self._preUpdateHooks.extend(hooks) def addPostUpdateHooks(self, hooks): self._postUpdateHooks.extend(hooks) def getProvider(self): return self._provider def setProvider(self, provider): self._provider = provider self.reset() def setDefaults(self, defaults): self._provider.setDefaults(defaults) self.reset() def updateDefaults(self, items): mergeData(self._provider.getDefaults(), items) self.update(items) def update(self, items=None, reloading=False): if self._updating: return self._updating = True if not isinstance(items, ConfigDict): items = ConfigDict(items) # Call hooks for hook in self._preUpdateHooks: hook(self._data, items, reloading=reloading) mergeData(self._data, items) for hook in self._postUpdateHooks: hook(self._data, reloading=reloading) self._updating = False self._dirty = False self._cachedSyncToken = None def load(self, configFile): self._provider.setConfigFileName(configFile) configDict = self._provider.loadConfig() if not self._provider.hasErrors(): self.update(configDict) else: raise ConfigurationError("Invalid configuration in %s" % (self._provider.getConfigFileName(),)) def reload(self): configDict = self._provider.loadConfig() if not self._provider.hasErrors(): if self._beforeResetHook: # Give the beforeResetHook a chance to stash away values we want # to preserve across the reload( ) preserved = self._beforeResetHook(self._data) else: preserved = None self.reset() if preserved and self._afterResetHook: # Pass the preserved data back to the afterResetHook self._afterResetHook(self._data, preserved) self.update(configDict, reloading=True) else: raise ConfigurationError( "Invalid configuration in %s" % (self._provider.getConfigFileName(), )) def reset(self): self._data = ConfigDict(copy.deepcopy(self._provider.getDefaults())) self._dirty = True self._syncTokenKeys = [] self._cachedSyncToken = None def getKeyPath(self, keyPath): """ Allows the getting of arbitrary nested dictionary keys via a single dot-separated string. For example, getKeyPath(self, "foo.bar.baz") would fetch parent["foo"]["bar"]["baz"]. If any of the keys don't exist, None is returned instead. @param keyPath: a dot-delimited string specifying the path of keys to traverse @type keyPath: C{str} @return: the value at keyPath """ parent = self parts = keyPath.split(".") for part in parts[:-1]: child = parent.get(part, None) if child is None: return None parent = child return parent.get(parts[-1], None) def addSyncTokenKey(self, keyPath): """ Indicates the specified key should be taken into account when generating the sync token. Also invalidates the (possibly) cached syncToken. @param keyPath: a dot-delimited string specifying the path of keys to traverse @type keyPath: C{str} """ if keyPath not in self._syncTokenKeys: self._syncTokenKeys.append(keyPath) self._cachedSyncToken = None def syncToken(self): """ Iterates the previously registered keys (sorted, so the order in which the keys were registered doesn't affect the hash) and generates an MD5 hash of the combined values. The hash is cached, and is invalidated during a reload or if invalidateSyncToken is called. @return: the sync token @rtype: C{str} """ if self._cachedSyncToken is None: pieces = [] self._syncTokenKeys.sort() for key in self._syncTokenKeys: value = self.getKeyPath(key) if value is None: value = "" pieces.append(key + ":" + str(value)) whole = "\|".join(pieces) self._cachedSyncToken = hashlib.md5(whole).hexdigest() return self._cachedSyncToken def invalidateSyncToken(self): """ Invalidates the cached copy of the sync token. """ self._cachedSyncToken = None def joinToken(self, dataToken): """ Joins the config sync token with the dataToken. If EnableConfigSyncToken is False, the original dataToken is just returned """ if self.EnableConfigSyncToken: configToken = self.syncToken() return "{}/{}".format(dataToken, configToken) else: return dataToken def mergeData(oldData, newData): """ Merge two ConfigDict objects; oldData will be updated with all the keys and values from newData @param oldData: the object to modify @type oldData: ConfigDict @param newData: the object to copy data from @type newData: ConfigDict """ for key, value in newData.iteritems(): if isinstance(value, (dict,)): if key in oldData: assert isinstance(oldData[key], ConfigDict), \ "%r in %r is not a ConfigDict" % (oldData[key], oldData) else: oldData[key] = {} mergeData(oldData[key], value) else: oldData[key] = value def fullServerPath(base, path): if type(path) is str: return os.path.join(base, path) if path and path[0] not in ('/', '.',) else path else: return path config = Config()	[ 1, 529, 9507, 29958, 7516, 12652, 1052, 29881, 485, 29914, 2917, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29900, 29899, 29896, 29900, 29900, 29900, 13, 2277, 13, 29937, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29900, 29945, 29899, 29906, 29900, 29896, 29955, 12113, 9266, 29889, 2178, 10462, 21676, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 2277, 13, 13, 1649, 497, 1649, 353, 518, 13, 1678, 376, 3991, 613, 13, 1678, 376, 3991, 21533, 613, 13, 1678, 376, 3991, 6980, 613, 13, 1678, 376, 8614, 2392, 613, 13, 1678, 376, 2917, 613, 13, 29962, 13, 13, 5215, 3509, 13, 5215, 6608, 1982, 13, 5215, 2897, 13, 13, 13, 1990, 20999, 2392, 29898, 7944, 2392, 1125, 13, 1678, 9995, 13, 1678, 21403, 1923, 5285, 29889, 13, 1678, 9995, 13, 13, 13, 1990, 12782, 21533, 29898, 8977, 1125, 13, 1678, 9995, 13, 1678, 13343, 607, 508, 367, 20592, 773, 5352, 5877, 29892, 1363, 13, 1678, 393, 13623, 322, 15873, 16588, 261, 297, 775, 29889, 29871, 1152, 1342, 29901, 13, 418, 315, 29912, 2917, 29889, 1349, 20191, 29889, 29911, 4901, 29889, 29911, 25129, 29913, 13, 1678, 2012, 310, 29901, 13, 418, 315, 29912, 2917, 3366, 1349, 20191, 3108, 3366, 29911, 4901, 3108, 3366, 29911, 25129, 3108, 29913, 13, 1678, 9995, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 10417, 29922, 8516, 1125, 13, 4706, 565, 10417, 338, 451, 6213, 29901, 13, 9651, 363, 1820, 29892, 995, 297, 10417, 29889, 1524, 7076, 7295, 13, 18884, 1583, 29961, 1989, 29962, 353, 995, 13, 13, 1678, 822, 4770, 276, 558, 12035, 1311, 1125, 13, 4706, 736, 376, 20605, 718, 9657, 17255, 276, 558, 12035, 1311, 29897, 13, 13, 1678, 822, 4770, 842, 667, 12035, 1311, 29892, 1820, 29892, 995, 1125, 13, 4706, 565, 1820, 29889, 27382, 2541, 703, 27508, 1125, 13, 9651, 396, 14706, 6763, 411, 11119, 29908, 526, 21676, 363, 1855, 8393, 13, 9651, 12020, 7670, 2392, 703, 15506, 1122, 451, 3380, 411, 22868, 2396, 1273, 29879, 29908, 1273, 313, 1989, 29892, 876, 13, 13, 4706, 565, 338, 8758, 29898, 1767, 29892, 9657, 29897, 322, 451, 338, 8758, 29898, 1767, 29892, 1583, 17255, 1990, 1649, 1125, 13, 9651, 9657, 17255, 842, 667, 12035, 1311, 29892, 1820, 29892, 1583, 17255, 1990, 12035, 1767, 876, 13, 4706, 1683, 29901, 13, 9651, 9657, 17255, 842, 667, 12035, 1311, 29892, 1820, 29892, 995, 29897, 13, 13, 1678, 822, 4770, 842, 5552, 12035, 1311, 29892, 12421, 29892, 995, 1125, 13, 4706, 565, 12421, 29889, 27382, 2541, 703, 27508, 1125, 13, 9651, 9657, 17255, 842, 5552, 12035, 1311, 29892, 12421, 29892, 995, 29897, 13, 4706, 1683, 29901, 13, 9651, 1583, 29961, 5552, 29962, 353, 995, 13, 13, 1678, 822, 4770, 657, 5552, 12035, 1311, 29892, 12421, 1125, 13, 4706, 565, 451, 12421, 29889, 27382, 2541, 703, 29918, 1159, 322, 12421, 297, 1583, 29901, 13, 9651, 736, 1583, 29961, 5552, 29962, 13, 4706, 1683, 29901, 13, 9651, 736, 9657, 17255, 657, 12715, 12035, 1311, 29892, 12421, 29897, 13, 13, 1678, 822, 4770, 6144, 5552, 12035, 1311, 29892, 12421, 1125, 13, 4706, 565, 451, 12421, 29889, 27382, 2541, 703, 29918, 1159, 322, 12421, 297, 1583, 29901, 13, 9651, 628, 1583, 29961, 5552, 29962, 13, 4706, 1683, 29901, 13, 9651, 9657, 17255, 6144, 5552, 12035, 1311, 29892, 12421, 29897, 13, 13, 13, 1990, 12782, 6980, 29898, 3318, 1125, 13, 1678, 9995, 13, 1678, 20999, 13113, 29892, 27086, 428, 363, 2295, 8635, 29914, 4830, 29914, 4381, 29879, 29889, 13, 1678, 9995, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 21274, 29922, 8516, 1125, 13, 4706, 9995, 13, 4706, 6204, 5285, 13113, 411, 2183, 21274, 29889, 13, 4706, 9995, 13, 4706, 1583, 3032, 2917, 17020, 353, 6213, 13, 4706, 565, 21274, 338, 6213, 29901, 13, 9651, 1583, 3032, 4381, 29879, 353, 12782, 21533, 580, 13, 4706, 1683, 29901, 13, 9651, 1583, 3032, 4381, 29879, 353, 12782, 21533, 29898, 8552, 29889, 24535, 8552, 29898, 4381, 29879, 876, 13, 4706, 1583, 29889, 5215, 287, 10547, 353, 5159, 13, 4706, 1583, 29889, 11707, 287, 10547, 353, 5159, 13, 4706, 1583, 29889, 27259, 10547, 353, 5159, 13, 13, 1678, 822, 679, 24863, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 7106, 21274, 29889, 13, 4706, 9995, 13, 4706, 736, 1583, 3032, 4381, 29879, 13, 13, 1678, 822, 731, 24863, 29898, 1311, 29892, 21274, 1125, 13, 4706, 9995, 13, 4706, 10726, 21274, 29889, 13, 4706, 9995, 13, 4706, 1583, 3032, 4381, 29879, 353, 12782, 21533, 29898, 8552, 29889, 24535, 8552, 29898, 4381, 29879, 876, 13, 13, 1678, 822, 679, 3991, 17020, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 7106, 1857, 5285, 934, 2224, 322, 1024, 29889, 13, 4706, 9995, 13, 4706, 736, 1583, 3032, 2917, 17020, 13, 13, 1678, 822, 731, 3991, 17020, 29898, 1311, 29892, 2295, 17020, 1125, 13, 4706, 9995, 13, 4706, 10726, 5285, 934, 2224, 322, 1024, 363, 2446, 2254, 6931, 29889, 13, 4706, 9995, 13, 4706, 1583, 3032, 2917, 17020, 353, 2295, 17020, 13, 4706, 565, 1583, 3032, 2917, 17020, 29901, 13, 9651, 1583, 3032, 2917, 17020, 353, 2897, 29889, 2084, 29889, 370, 1028, 493, 29898, 2917, 17020, 29897, 13, 13, 1678, 822, 756, 22463, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 7106, 1565, 565, 1833, 2254, 5858, 18169, 738, 4436, 29889, 13, 4706, 9995, 13, 4706, 736, 7700, 13, 13, 1678, 822, 2254, 3991, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 16012, 278, 5285, 29892, 736, 263, 8600, 310, 6055, 29889, 13, 4706, 9995, 13, 4706, 736, 1583, 3032, 4381, 29879, 13, 13, 13, 1990, 12782, 29898, 3318, 1125, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 13113, 29922, 8516, 1125, 13, 4706, 565, 451, 13113, 29901, 13, 9651, 1583, 3032, 18121, 353, 12782, 6980, 580, 13, 4706, 1683, 29901, 13, 9651, 1583, 3032, 18121, 353, 13113, 13, 4706, 1583, 3032, 786, 26747, 353, 7700, 13, 4706, 1583, 3032, 11083, 27175, 29950, 2550, 353, 6213, 13, 4706, 1583, 3032, 7045, 27175, 29950, 2550, 353, 6213, 13, 4706, 1583, 3032, 1457, 6422, 29950, 2550, 29879, 353, 5159, 13, 4706, 1583, 3032, 2490, 6422, 29950, 2550, 29879, 353, 5159, 13, 4706, 1583, 29889, 12071, 580, 13, 13, 1678, 822, 4770, 842, 5552, 12035, 1311, 29892, 12421, 29892, 995, 1125, 13, 4706, 565, 11119, 1272, 29908, 297, 1583, 17255, 8977, 1649, 322, 12421, 297, 1583, 17255, 8977, 1649, 3366, 29918, 1272, 3108, 29901, 13, 9651, 1583, 3032, 1272, 29961, 5552, 29962, 353, 995, 13, 4706, 1683, 29901, 13, 9651, 1583, 17255, 8977, 1649, 29961, 5552, 29962, 353, 995, 13, 13, 4706, 396, 1105, 408, 451, 304, 4556, 263, 1652, 332, 719, 310, 11217, 29892, 1016, 29915, 29873, 2791, 20278, 13, 4706, 396, 26616, 746, 278, 5352, 16410, 411, 385, 23400, 3221, 13, 4706, 565, 451, 12421, 29889, 27382, 2541, 703, 27508, 1125, 13, 9651, 1583, 17255, 8977, 1649, 3366, 29918, 3972, 1017, 3108, 353, 5852, 13, 13, 1678, 903, 3972, 1017, 353, 7700, 13, 1678, 903, 1272, 353, 3861, 13, 13, 1678, 822, 4770, 657, 5552, 12035, 1311, 29892, 12421, 1125, 13, 4706, 565, 1583, 3032, 3972, 1017, 29901, 13, 9651, 1583, 29889, 5504, 580, 13, 13, 4706, 565, 12421, 297, 1583, 3032, 1272, 29901, 13, 9651, 736, 1583, 3032, 1272, 29961, 5552, 29962, 13, 4706, 12020, 23833, 2392, 29898, 5552, 29897, 13, 13, 1678, 822, 4770, 5349, 5552, 12035, 1311, 29892, 12421, 1125, 13, 4706, 736, 12421, 297, 1583, 3032, 1272, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 851, 29898, 1311, 3032, 1272, 29897, 13, 13, 1678, 822, 679, 29898, 1311, 29892, 12421, 29892, 2322, 1917, 1125, 13, 4706, 5633, 353, 12421, 29889, 5451, 17350, 1159, 13, 4706, 1833, 21533, 353, 1583, 3032, 1272, 13, 4706, 363, 760, 297, 5633, 7503, 29899, 29896, 5387, 13, 9651, 565, 760, 451, 297, 1833, 21533, 29901, 13, 18884, 1833, 21533, 29961, 5552, 29962, 353, 12782, 21533, 580, 13, 9651, 1833, 21533, 353, 1833, 21533, 17255, 657, 5552, 12035, 1595, 29897, 13, 4706, 2295, 2001, 353, 5633, 14352, 29896, 29962, 13, 13, 4706, 565, 2295, 2001, 297, 1833, 21533, 29901, 13, 9651, 736, 1833, 21533, 29961, 2917, 2001, 29962, 13, 4706, 1683, 29901, 13, 9651, 1833, 21533, 29961, 2917, 2001, 29962, 353, 2322, 1917, 13, 9651, 736, 2322, 1917, 13, 13, 1678, 822, 788, 27175, 29950, 2550, 29879, 29898, 1311, 29892, 1434, 29892, 1156, 1125, 13, 4706, 9995, 13, 4706, 29612, 29879, 363, 2225, 29530, 2295, 4822, 19763, 29898, 1723, 718, 10092, 29898, 1723, 13, 13, 4706, 7806, 12422, 674, 367, 4502, 278, 2295, 848, 29936, 6514, 278, 1434, 12422, 13, 4706, 3639, 674, 367, 4502, 408, 278, 1473, 1852, 304, 278, 1156, 12422, 29889, 13, 4706, 9995, 13, 4706, 1583, 3032, 11083, 27175, 29950, 2550, 353, 1434, 13, 4706, 1583, 3032, 7045, 27175, 29950, 2550, 353, 1156, 13, 13, 1678, 822, 788, 6572, 6422, 29950, 2550, 29879, 29898, 1311, 29892, 12422, 29879, 1125, 13, 4706, 1583, 3032, 1457, 6422, 29950, 2550, 29879, 29889, 21843, 29898, 1251, 12117, 29897, 13, 13, 1678, 822, 788, 6747, 6422, 29950, 2550, 29879, 29898, 1311, 29892, 12422, 29879, 1125, 13, 4706, 1583, 3032, 2490, 6422, 29950, 2550, 29879, 29889, 21843, 29898, 1251, 12117, 29897, 13, 13, 1678, 822, 679, 6980, 29898, 1311, 1125, 13, 4706, 736, 1583, 3032, 18121, 13, 13, 1678, 822, 731, 6980, 29898, 1311, 29892, 13113, 1125, 13, 4706, 1583, 3032, 18121, 353, 13113, 13, 4706, 1583, 29889, 12071, 580, 13, 13, 1678, 822, 731, 24863, 29898, 1311, 29892, 21274, 1125, 13, 4706, 1583, 3032, 18121, 29889, 842, 24863, 29898, 4381, 29879, 29897, 13, 4706, 1583, 29889, 12071, 580, 13, 13, 1678, 822, 2767, 24863, 29898, 1311, 29892, 4452, 1125, 13, 4706, 10366, 1469, 29898, 1311, 3032, 18121, 29889, 657, 24863, 3285, 4452, 29897, 13, 4706, 1583, 29889, 5504, 29898, 7076, 29897, 13, 13, 1678, 822, 2767, 29898, 1311, 29892, 4452, 29922, 8516, 29892, 337, 13234, 29922, 8824, 1125, 13, 4706, 565, 1583, 3032, 786, 26747, 29901, 13, 9651, 736, 13, 4706, 1583, 3032, 786, 26747, 353, 5852, 13, 13, 4706, 565, 451, 338, 8758, 29898, 7076, 29892, 12782, 21533, 1125, 13, 9651, 4452, 353, 12782, 21533, 29898, 7076, 29897, 13, 13, 4706, 396, 8251, 12422, 29879, 13, 4706, 363, 12422, 297, 1583, 3032, 1457, 6422, 29950, 2550, 29879, 29901, 13, 9651, 12422, 29898, 1311, 3032, 1272, 29892, 4452, 29892, 337, 13234, 29922, 276, 13234, 29897, 13, 4706, 10366, 1469, 29898, 1311, 3032, 1272, 29892, 4452, 29897, 13, 4706, 363, 12422, 297, 1583, 3032, 2490, 6422, 29950, 2550, 29879, 29901, 13, 9651, 12422, 29898, 1311, 3032, 1272, 29892, 337, 13234, 29922, 276, 13234, 29897, 13, 13, 4706, 1583, 3032, 786, 26747, 353, 7700, 13, 4706, 1583, 3032, 3972, 1017, 353, 7700, 13, 4706, 1583, 3032, 29883, 3791, 21077, 6066, 353, 6213, 13, 13, 1678, 822, 2254, 29898, 1311, 29892, 2295, 2283, 1125, 13, 4706, 1583, 3032, 18121, 29889, 842, 3991, 17020, 29898, 2917, 2283, 29897, 13, 4706, 2295, 21533, 353, 1583, 3032, 18121, 29889, 1359, 3991, 580, 13, 4706, 565, 451, 1583, 3032, 18121, 29889, 5349, 22463, 7295, 13, 9651, 1583, 29889, 5504, 29898, 2917, 21533, 29897, 13, 4706, 1683, 29901, 13, 9651, 12020, 20999, 2392, 703, 13919, 5285, 297, 1273, 29879, 29908, 13, 462, 462, 268, 1273, 313, 1311, 3032, 18121, 29889, 657, 3991, 17020, 3285, 876, 13, 13, 1678, 822, 19763, 29898, 1311, 1125, 13, 4706, 2295, 21533, 353, 1583, 3032, 18121, 29889, 1359, 3991, 580, 13, 4706, 565, 451, 1583, 3032, 18121, 29889, 5349, 22463, 7295, 13, 9651, 565, 1583, 3032, 11083, 27175, 29950, 2550, 29901, 13, 18884, 396, 25538, 278, 1434, 27175, 29950, 2550, 263, 8825, 304, 380, 1161, 3448, 1819, 591, 864, 13, 18884, 396, 304, 19905, 4822, 278, 19763, 29898, 1723, 13, 18884, 21634, 353, 1583, 3032, 11083, 27175, 29950, 2550, 29898, 1311, 3032, 1272, 29897, 13, 9651, 1683, 29901, 13, 18884, 21634, 353, 6213, 13, 9651, 1583, 29889, 12071, 580, 13, 9651, 565, 21634, 322, 1583, 3032, 7045, 27175, 29950, 2550, 29901, 13, 18884, 396, 6978, 278, 21634, 848, 1250, 304, 278, 1156, 27175, 29950, 2550, 13, 18884, 1583, 3032, 7045, 27175, 29950, 2550, 29898, 1311, 3032, 1272, 29892, 21634, 29897, 13, 9651, 1583, 29889, 5504, 29898, 2917, 21533, 29892, 337, 13234, 29922, 5574, 29897, 13, 4706, 1683, 29901, 13, 9651, 12020, 20999, 2392, 29898, 13, 18884, 376, 13919, 5285, 297, 1273, 29879, 29908, 13, 18884, 1273, 313, 1311, 3032, 18121, 29889, 657, 3991, 17020, 3285, 29871, 876, 13, 13, 1678, 822, 10092, 29898, 1311, 1125, 13, 4706, 1583, 3032, 1272, 353, 12782, 21533, 29898, 8552, 29889, 24535, 8552, 29898, 1311, 3032, 18121, 29889, 657, 24863, 22130, 13, 4706, 1583, 3032, 3972, 1017, 353, 5852, 13, 4706, 1583, 3032, 16593, 6066, 15506, 353, 5159, 13, 4706, 1583, 3032, 29883, 3791, 21077, 6066, 353, 6213, 13, 13, 1678, 822, 679, 2558, 2605, 29898, 1311, 29892, 1820, 2605, 1125, 13, 4706, 9995, 13, 4706, 2178, 1242, 278, 2805, 310, 11472, 9322, 8600, 6611, 3025, 263, 2323, 13, 4706, 8329, 29899, 25048, 630, 1347, 29889, 29871, 1152, 1342, 29892, 679, 2558, 2605, 29898, 1311, 29892, 376, 5431, 29889, 1646, 29889, 27975, 1159, 13, 4706, 723, 6699, 3847, 3366, 5431, 3108, 3366, 1646, 3108, 3366, 27975, 16862, 29871, 960, 738, 310, 278, 6611, 1016, 29915, 29873, 13, 4706, 1863, 29892, 6213, 338, 4133, 2012, 29889, 13, 13, 4706, 732, 3207, 1820, 2605, 29901, 263, 8329, 29899, 6144, 326, 1573, 1347, 22146, 278, 2224, 310, 6611, 304, 13, 9651, 29370, 13, 4706, 732, 1853, 1820, 2605, 29901, 315, 29912, 710, 29913, 13, 4706, 732, 2457, 29901, 278, 995, 472, 1820, 2605, 13, 4706, 9995, 13, 4706, 3847, 353, 1583, 13, 4706, 5633, 353, 1820, 2605, 29889, 5451, 17350, 1159, 13, 4706, 363, 760, 297, 5633, 7503, 29899, 29896, 5387, 13, 9651, 2278, 353, 3847, 29889, 657, 29898, 1595, 29892, 6213, 29897, 13, 9651, 565, 2278, 338, 6213, 29901, 13, 18884, 736, 6213, 13, 9651, 3847, 353, 2278, 13, 4706, 736, 3847, 29889, 657, 29898, 20895, 14352, 29896, 1402, 6213, 29897, 13, 13, 1678, 822, 788, 21077, 6066, 2558, 29898, 1311, 29892, 1820, 2605, 1125, 13, 4706, 9995, 13, 4706, 1894, 293, 1078, 278, 6790, 1820, 881, 367, 4586, 964, 3633, 746, 14655, 13, 4706, 278, 16523, 5993, 29889, 29871, 3115, 8340, 1078, 278, 313, 28802, 14981, 29897, 22152, 16523, 6066, 29889, 13, 13, 4706, 732, 3207, 1820, 2605, 29901, 263, 8329, 29899, 6144, 326, 1573, 1347, 22146, 278, 2224, 310, 6611, 304, 13, 9651, 29370, 13, 4706, 732, 1853, 1820, 2605, 29901, 315, 29912, 710, 29913, 13, 4706, 9995, 13, 4706, 565, 1820, 2605, 451, 297, 1583, 3032, 16593, 6066, 15506, 29901, 13, 9651, 1583, 3032, 16593, 6066, 15506, 29889, 4397, 29898, 1989, 2605, 29897, 13, 4706, 1583, 3032, 29883, 3791, 21077, 6066, 353, 6213, 13, 13, 1678, 822, 16523, 6066, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 20504, 1078, 278, 9251, 15443, 6611, 313, 24582, 29892, 577, 278, 1797, 297, 607, 13, 4706, 278, 6611, 892, 15443, 1838, 29915, 29873, 6602, 278, 6608, 29897, 322, 16785, 385, 20672, 29945, 13, 4706, 6608, 310, 278, 12420, 1819, 29889, 29871, 450, 6608, 338, 22152, 29892, 322, 338, 8340, 630, 13, 4706, 2645, 263, 19763, 470, 565, 8340, 403, 21077, 6066, 338, 2000, 29889, 13, 13, 4706, 732, 2457, 29901, 278, 16523, 5993, 13, 4706, 732, 29878, 1853, 29901, 315, 29912, 710, 29913, 13, 4706, 9995, 13, 4706, 565, 1583, 3032, 29883, 3791, 21077, 6066, 338, 6213, 29901, 13, 9651, 12785, 353, 5159, 13, 9651, 1583, 3032, 16593, 6066, 15506, 29889, 6605, 580, 13, 9651, 363, 1820, 297, 1583, 3032, 16593, 6066, 15506, 29901, 13, 18884, 995, 353, 1583, 29889, 657, 2558, 2605, 29898, 1989, 29897, 13, 18884, 565, 995, 338, 6213, 29901, 13, 462, 1678, 995, 353, 5124, 13, 18884, 12785, 29889, 4397, 29898, 1989, 718, 376, 6160, 718, 851, 29898, 1767, 876, 13, 9651, 3353, 353, 376, 29989, 1642, 7122, 29898, 12343, 778, 29897, 13, 9651, 1583, 3032, 29883, 3791, 21077, 6066, 353, 6608, 1982, 29889, 3487, 29945, 29898, 15970, 280, 467, 20970, 7501, 342, 580, 13, 4706, 736, 1583, 3032, 29883, 3791, 21077, 6066, 13, 13, 1678, 822, 8340, 403, 21077, 6066, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 21403, 1078, 278, 22152, 3509, 310, 278, 16523, 5993, 29889, 13, 4706, 9995, 13, 4706, 1583, 3032, 29883, 3791, 21077, 6066, 353, 6213, 13, 13, 1678, 822, 5988, 6066, 29898, 1311, 29892, 848, 6066, 1125, 13, 4706, 9995, 13, 4706, 3650, 1144, 278, 2295, 16523, 5993, 411, 278, 848, 6066, 29889, 29871, 960, 1174, 519, 3991, 21077, 6066, 13, 4706, 338, 7700, 29892, 278, 2441, 848, 6066, 338, 925, 4133, 13, 4706, 9995, 13, 4706, 565, 1583, 29889, 20701, 3991, 21077, 6066, 29901, 13, 9651, 2295, 6066, 353, 1583, 29889, 16593, 6066, 580, 13, 9651, 736, 29850, 6822, 8875, 1642, 4830, 29898, 1272, 6066, 29892, 2295, 6066, 29897, 13, 4706, 1683, 29901, 13, 9651, 736, 848, 6066, 13, 13, 13, 1753, 10366, 1469, 29898, 1025, 1469, 29892, 716, 1469, 1125, 13, 1678, 9995, 13, 1678, 4702, 479, 1023, 12782, 21533, 3618, 29936, 2030, 1469, 674, 367, 4784, 411, 599, 278, 6611, 13, 1678, 322, 1819, 515, 716, 1469, 13, 1678, 732, 3207, 2030, 1469, 29901, 278, 1203, 304, 6623, 13, 1678, 732, 1853, 2030, 1469, 29901, 12782, 21533, 13, 1678, 732, 3207, 716, 1469, 29901, 278, 1203, 304, 3509, 848, 515, 13, 1678, 732, 1853, 716, 1469, 29901, 12782, 21533, 13, 1678, 9995, 13, 1678, 363, 1820, 29892, 995, 297, 716, 1469, 29889, 1524, 7076, 7295, 13, 4706, 565, 338, 8758, 29898, 1767, 29892, 313, 8977, 29892, 22164, 13, 9651, 565, 1820, 297, 2030, 1469, 29901, 13, 18884, 4974, 338, 8758, 29898, 1025, 1469, 29961, 1989, 1402, 12782, 21533, 511, 320, 13, 462, 1678, 11860, 29878, 297, 1273, 29878, 338, 451, 263, 12782, 21533, 29908, 1273, 313, 1025, 1469, 29961, 1989, 1402, 2030, 1469, 29897, 13, 9651, 1683, 29901, 13, 18884, 2030, 1469, 29961, 1989, 29962, 353, 6571, 13, 9651, 10366, 1469, 29898, 1025, 1469, 29961, 1989, 1402, 995, 29897, 13, 4706, 1683, 29901, 13, 9651, 2030, 1469, 29961, 1989, 29962, 353, 995, 13, 13, 13, 1753, 2989, 6004, 2605, 29898, 3188, 29892, 2224, 1125, 13, 1678, 565, 1134, 29898, 2084, 29897, 338, 851, 29901, 13, 4706, 736, 2897, 29889, 2084, 29889, 7122, 29898, 3188, 29892, 2224, 29897, 565, 2224, 322, 2224, 29961, 29900, 29962, 451, 297, 6702, 29914, 742, 15300, 742, 29897, 1683, 2224, 13, 1678, 1683, 29901, 13, 4706, 736, 2224, 13, 13, 2917, 353, 12782, 580, 13, 2 ]
gaphor/services/helpservice/__init__.py	sitedata/gaphor	0	77798	<gh_stars>0 """About and help services. (help browser anyone?) """ from gi.repository import Gtk from gaphor.abc import ActionProvider, Service from gaphor.application import distribution from gaphor.core import action from gaphor.i18n import translated_ui_string class HelpService(Service, ActionProvider): def __init__(self, main_window): self.main_window = main_window def shutdown(self): pass @property def window(self): return self.main_window.window @action(name="about") def about(self): builder = Gtk.Builder() builder.add_from_string( translated_ui_string("gaphor.services.helpservice", "about.ui") ) about = builder.get_object("about") about.set_version(distribution().version) about.set_transient_for(self.window) about.run() about.destroy() @action(name="win.shortcuts") def shortcuts(self): builder = Gtk.Builder() builder.add_from_string( translated_ui_string("gaphor.services.helpservice", "shortcuts.ui") ) shortcuts = builder.get_object("shortcuts-gaphor") shortcuts.set_modal(True) shortcuts.set_transient_for(self.window) shortcuts.show() return shortcuts	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 15945, 29908, 28173, 322, 1371, 5786, 29889, 13, 13, 29898, 8477, 4714, 5019, 7897, 13, 15945, 29908, 13, 13, 3166, 4005, 29889, 19033, 1053, 402, 11178, 13, 13, 3166, 17261, 2015, 29889, 10736, 1053, 9123, 6980, 29892, 6692, 13, 3166, 17261, 2015, 29889, 6214, 1053, 4978, 13, 3166, 17261, 2015, 29889, 3221, 1053, 3158, 13, 3166, 17261, 2015, 29889, 29875, 29896, 29947, 29876, 1053, 20512, 29918, 1481, 29918, 1807, 13, 13, 13, 1990, 22305, 3170, 29898, 3170, 29892, 9123, 6980, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1667, 29918, 7165, 1125, 13, 4706, 1583, 29889, 3396, 29918, 7165, 353, 1667, 29918, 7165, 13, 13, 1678, 822, 12522, 3204, 29898, 1311, 1125, 13, 4706, 1209, 13, 13, 1678, 732, 6799, 13, 1678, 822, 3474, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3396, 29918, 7165, 29889, 7165, 13, 13, 1678, 732, 2467, 29898, 978, 543, 12717, 1159, 13, 1678, 822, 1048, 29898, 1311, 1125, 13, 4706, 12856, 353, 402, 11178, 29889, 5627, 580, 13, 4706, 12856, 29889, 1202, 29918, 3166, 29918, 1807, 29898, 13, 9651, 20512, 29918, 1481, 29918, 1807, 703, 29887, 481, 2015, 29889, 9916, 29889, 3952, 567, 261, 1087, 613, 376, 12717, 29889, 1481, 1159, 13, 4706, 1723, 13, 13, 4706, 1048, 353, 12856, 29889, 657, 29918, 3318, 703, 12717, 1159, 13, 13, 4706, 1048, 29889, 842, 29918, 3259, 29898, 27691, 2141, 3259, 29897, 13, 4706, 1048, 29889, 842, 29918, 3286, 993, 29918, 1454, 29898, 1311, 29889, 7165, 29897, 13, 13, 4706, 1048, 29889, 3389, 580, 13, 4706, 1048, 29889, 20524, 580, 13, 13, 1678, 732, 2467, 29898, 978, 543, 5080, 29889, 12759, 7582, 29879, 1159, 13, 1678, 822, 21697, 29879, 29898, 1311, 1125, 13, 4706, 12856, 353, 402, 11178, 29889, 5627, 580, 13, 4706, 12856, 29889, 1202, 29918, 3166, 29918, 1807, 29898, 13, 9651, 20512, 29918, 1481, 29918, 1807, 703, 29887, 481, 2015, 29889, 9916, 29889, 3952, 567, 261, 1087, 613, 376, 12759, 7582, 29879, 29889, 1481, 1159, 13, 4706, 1723, 13, 13, 4706, 21697, 29879, 353, 12856, 29889, 657, 29918, 3318, 703, 12759, 7582, 29879, 29899, 29887, 481, 2015, 1159, 13, 4706, 21697, 29879, 29889, 842, 29918, 15601, 29898, 5574, 29897, 13, 4706, 21697, 29879, 29889, 842, 29918, 3286, 993, 29918, 1454, 29898, 1311, 29889, 7165, 29897, 13, 13, 4706, 21697, 29879, 29889, 4294, 580, 13, 4706, 736, 21697, 29879, 13, 2 ]
tf_agents/agents/sac/sac_agent.py	Francis777/agents	0	197102	# coding=utf-8 # Copyright 2020 The TF-Agents Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Lint as: python2, python3 """A Soft Actor-Critic Agent. Implements the Soft Actor-Critic (SAC) algorithm from "Soft Actor-Critic Algorithms and Applications" by Haarnoja et al (2019). """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import collections from typing import Callable, Optional, Text import gin import numpy as np from six.moves import zip import tensorflow as tf # pylint: disable=g-explicit-tensorflow-version-import import tensorflow_probability as tfp from tf_agents.agents import data_converter from tf_agents.agents import tf_agent from tf_agents.networks import network from tf_agents.policies import actor_policy from tf_agents.policies import tf_policy from tf_agents.trajectories import time_step as ts from tf_agents.typing import types from tf_agents.utils import common from tf_agents.utils import eager_utils from tf_agents.utils import nest_utils from tf_agents.utils import object_identity SacLossInfo = collections.namedtuple( 'SacLossInfo', ('critic_loss', 'actor_loss', 'alpha_loss')) # TODO(b/148889463): deprecate std_clip_transform @gin.configurable def std_clip_transform(stddevs: types.NestedTensor) -> types.NestedTensor: stddevs = tf.nest.map_structure(lambda t: tf.clip_by_value(t, -20, 2), stddevs) return tf.exp(stddevs) @gin.configurable class SacAgent(tf_agent.TFAgent): """A SAC Agent.""" def __init__(self, time_step_spec: ts.TimeStep, action_spec: types.NestedTensorSpec, critic_network: network.Network, actor_network: network.Network, actor_optimizer: types.Optimizer, critic_optimizer: types.Optimizer, alpha_optimizer: types.Optimizer, actor_loss_weight: types.Float = 1.0, critic_loss_weight: types.Float = 0.5, alpha_loss_weight: types.Float = 1.0, actor_policy_ctor: Callable[ ..., tf_policy.TFPolicy] = actor_policy.ActorPolicy, critic_network_2: Optional[network.Network] = None, target_critic_network: Optional[network.Network] = None, target_critic_network_2: Optional[network.Network] = None, target_update_tau: types.Float = 1.0, target_update_period: types.Int = 1, td_errors_loss_fn: types.LossFn = tf.math.squared_difference, gamma: types.Float = 1.0, reward_scale_factor: types.Float = 1.0, initial_log_alpha: types.Float = 0.0, use_log_alpha_in_alpha_loss: bool = True, target_entropy: Optional[types.Float] = None, gradient_clipping: Optional[types.Float] = None, debug_summaries: bool = False, summarize_grads_and_vars: bool = False, train_step_counter: Optional[tf.Variable] = None, name: Optional[Text] = None): """Creates a SAC Agent. Args: time_step_spec: A `TimeStep` spec of the expected time_steps. action_spec: A nest of BoundedTensorSpec representing the actions. critic_network: A function critic_network((observations, actions)) that returns the q_values for each observation and action. actor_network: A function actor_network(observation, action_spec) that returns action distribution. actor_optimizer: The optimizer to use for the actor network. critic_optimizer: The default optimizer to use for the critic network. alpha_optimizer: The default optimizer to use for the alpha variable. actor_loss_weight: The weight on actor loss. critic_loss_weight: The weight on critic loss. alpha_loss_weight: The weight on alpha loss. actor_policy_ctor: The policy class to use. critic_network_2: (Optional.) A `tf_agents.network.Network` to be used as the second critic network during Q learning. The weights from `critic_network` are copied if this is not provided. target_critic_network: (Optional.) A `tf_agents.network.Network` to be used as the target critic network during Q learning. Every `target_update_period` train steps, the weights from `critic_network` are copied (possibly withsmoothing via `target_update_tau`) to ` target_critic_network`. If `target_critic_network` is not provided, it is created by making a copy of `critic_network`, which initializes a new network with the same structure and its own layers and weights. Performing a `Network.copy` does not work when the network instance already has trainable parameters (e.g., has already been built, or when the network is sharing layers with another). In these cases, it is up to you to build a copy having weights that are not shared with the original `critic_network`, so that this can be used as a target network. If you provide a `target_critic_network` that shares any weights with `critic_network`, a warning will be logged but no exception is thrown. target_critic_network_2: (Optional.) Similar network as target_critic_network but for the critic_network_2. See documentation for target_critic_network. Will only be used if 'critic_network_2' is also specified. target_update_tau: Factor for soft update of the target networks. target_update_period: Period for soft update of the target networks. td_errors_loss_fn: A function for computing the elementwise TD errors loss. gamma: A discount factor for future rewards. reward_scale_factor: Multiplicative scale for the reward. initial_log_alpha: Initial value for log_alpha. use_log_alpha_in_alpha_loss: A boolean, whether using log_alpha or alpha in alpha loss. Certain implementations of SAC use log_alpha as log values are generally nicer to work with. target_entropy: The target average policy entropy, for updating alpha. The default value is negative of the total number of actions. gradient_clipping: Norm length to clip gradients. debug_summaries: A bool to gather debug summaries. summarize_grads_and_vars: If True, gradient and network variable summaries will be written during training. train_step_counter: An optional counter to increment every time the train op is run. Defaults to the global_step. name: The name of this agent. All variables in this module will fall under that name. Defaults to the class name. """ tf.Module.__init__(self, name=name) self._check_action_spec(action_spec) net_observation_spec = time_step_spec.observation critic_spec = (net_observation_spec, action_spec) self._critic_network_1 = critic_network if critic_network_2 is not None: self._critic_network_2 = critic_network_2 else: self._critic_network_2 = critic_network.copy(name='CriticNetwork2') # Do not use target_critic_network_2 if critic_network_2 is None. target_critic_network_2 = None # Wait until critic_network_2 has been copied from critic_network_1 before # creating variables on both. self._critic_network_1.create_variables(critic_spec) self._critic_network_2.create_variables(critic_spec) if target_critic_network: target_critic_network.create_variables(critic_spec) self._target_critic_network_1 = ( common.maybe_copy_target_network_with_checks( self._critic_network_1, target_critic_network, input_spec=critic_spec, name='TargetCriticNetwork1')) if target_critic_network_2: target_critic_network_2.create_variables(critic_spec) self._target_critic_network_2 = ( common.maybe_copy_target_network_with_checks( self._critic_network_2, target_critic_network_2, input_spec=critic_spec, name='TargetCriticNetwork2')) if actor_network: actor_network.create_variables(net_observation_spec) self._actor_network = actor_network policy = actor_policy_ctor( time_step_spec=time_step_spec, action_spec=action_spec, actor_network=self._actor_network, training=False) self._train_policy = actor_policy_ctor( time_step_spec=time_step_spec, action_spec=action_spec, actor_network=self._actor_network, training=True) self._log_alpha = common.create_variable( 'initial_log_alpha', initial_value=initial_log_alpha, dtype=tf.float32, trainable=True) if target_entropy is None: target_entropy = self._get_default_target_entropy(action_spec) self._use_log_alpha_in_alpha_loss = use_log_alpha_in_alpha_loss self._target_update_tau = target_update_tau self._target_update_period = target_update_period self._actor_optimizer = actor_optimizer self._critic_optimizer = critic_optimizer self._alpha_optimizer = alpha_optimizer self._actor_loss_weight = actor_loss_weight self._critic_loss_weight = critic_loss_weight self._alpha_loss_weight = alpha_loss_weight self._td_errors_loss_fn = td_errors_loss_fn self._gamma = gamma self._reward_scale_factor = reward_scale_factor self._target_entropy = target_entropy self._gradient_clipping = gradient_clipping self._debug_summaries = debug_summaries self._summarize_grads_and_vars = summarize_grads_and_vars self._update_target = self._get_target_updater( tau=self._target_update_tau, period=self._target_update_period) train_sequence_length = 2 if not critic_network.state_spec else None super(SacAgent, self).__init__( time_step_spec, action_spec, policy=policy, collect_policy=policy, train_sequence_length=train_sequence_length, debug_summaries=debug_summaries, summarize_grads_and_vars=summarize_grads_and_vars, train_step_counter=train_step_counter, ) self._as_transition = data_converter.AsTransition( self.data_context, squeeze_time_dim=(train_sequence_length == 2)) def _check_action_spec(self, action_spec): flat_action_spec = tf.nest.flatten(action_spec) for spec in flat_action_spec: if spec.dtype.is_integer: raise NotImplementedError( 'SacAgent does not currently support discrete actions. ' 'Action spec: {}'.format(action_spec)) def _get_default_target_entropy(self, action_spec): # If target_entropy was not passed, set it to -dim(A)/2.0 # Note that the original default entropy target is -dim(A) in the SAC paper. # However this formulation has also been used in practice by the original # authors and has in our experience been more stable for gym/mujoco. flat_action_spec = tf.nest.flatten(action_spec) target_entropy = -np.sum([ np.product(single_spec.shape.as_list()) for single_spec in flat_action_spec ]) / 2.0 return target_entropy def _initialize(self): """Returns an op to initialize the agent. Copies weights from the Q networks to the target Q network. """ common.soft_variables_update( self._critic_network_1.variables, self._target_critic_network_1.variables, tau=1.0) common.soft_variables_update( self._critic_network_2.variables, self._target_critic_network_2.variables, tau=1.0) def _train(self, experience, weights): """Returns a train op to update the agent's networks. This method trains with the provided batched experience. Args: experience: A time-stacked trajectory object. weights: Optional scalar or elementwise (per-batch-entry) importance weights. Returns: A train_op. Raises: ValueError: If optimizers are None and no default value was provided to the constructor. """ transition = self._as_transition(experience) time_steps, policy_steps, next_time_steps = transition actions = policy_steps.action trainable_critic_variables = list(object_identity.ObjectIdentitySet( self._critic_network_1.trainable_variables + self._critic_network_2.trainable_variables)) with tf.GradientTape(watch_accessed_variables=False) as tape: assert trainable_critic_variables, ('No trainable critic variables to ' 'optimize.') tape.watch(trainable_critic_variables) critic_loss = self._critic_loss_weightself.critic_loss( time_steps, actions, next_time_steps, td_errors_loss_fn=self._td_errors_loss_fn, gamma=self._gamma, reward_scale_factor=self._reward_scale_factor, weights=weights, training=True) tf.debugging.check_numerics(critic_loss, 'Critic loss is inf or nan.') critic_grads = tape.gradient(critic_loss, trainable_critic_variables) self._apply_gradients(critic_grads, trainable_critic_variables, self._critic_optimizer) trainable_actor_variables = self._actor_network.trainable_variables with tf.GradientTape(watch_accessed_variables=False) as tape: assert trainable_actor_variables, ('No trainable actor variables to ' 'optimize.') tape.watch(trainable_actor_variables) actor_loss = self._actor_loss_weightself.actor_loss( time_steps, weights=weights, training=True) tf.debugging.check_numerics(actor_loss, 'Actor loss is inf or nan.') actor_grads = tape.gradient(actor_loss, trainable_actor_variables) self._apply_gradients(actor_grads, trainable_actor_variables, self._actor_optimizer) alpha_variable = [self._log_alpha] with tf.GradientTape(watch_accessed_variables=False) as tape: assert alpha_variable, 'No alpha variable to optimize.' tape.watch(alpha_variable) alpha_loss = self._alpha_loss_weight * self.alpha_loss( time_steps, weights=weights, training=True) tf.debugging.check_numerics(alpha_loss, 'Alpha loss is inf or nan.') alpha_grads = tape.gradient(alpha_loss, alpha_variable) self._apply_gradients(alpha_grads, alpha_variable, self._alpha_optimizer) with tf.name_scope('Losses'): tf.compat.v2.summary.scalar( name='critic_loss', data=critic_loss, step=self.train_step_counter) tf.compat.v2.summary.scalar( name='actor_loss', data=actor_loss, step=self.train_step_counter) tf.compat.v2.summary.scalar( name='alpha_loss', data=alpha_loss, step=self.train_step_counter) self.train_step_counter.assign_add(1) self._update_target() total_loss = critic_loss + actor_loss + alpha_loss extra = SacLossInfo( critic_loss=critic_loss, actor_loss=actor_loss, alpha_loss=alpha_loss) return tf_agent.LossInfo(loss=total_loss, extra=extra) def _loss(self, experience: types.NestedTensor, weights: Optional[types.Tensor] = None, training: bool = False): """Returns the loss of the provided experience. This method is only used at test time! Args: experience: A time-stacked trajectory object. weights: Optional scalar or elementwise (per-batch-entry) importance weights. training: Whether this loss is being calculated as part of training. Returns: A `LossInfo` containing the loss for the experience. """ transition = self._as_transition(experience) time_steps, policy_steps, next_time_steps = transition actions = policy_steps.action critic_loss = self._critic_loss_weight * self.critic_loss( time_steps, actions, next_time_steps, td_errors_loss_fn=self._td_errors_loss_fn, gamma=self._gamma, reward_scale_factor=self._reward_scale_factor, weights=weights, training=training) tf.debugging.check_numerics(critic_loss, 'Critic loss is inf or nan.') actor_loss = self._actor_loss_weight * self.actor_loss( time_steps, weights=weights, training=training) tf.debugging.check_numerics(actor_loss, 'Actor loss is inf or nan.') alpha_loss = self._alpha_loss_weight * self.alpha_loss( time_steps, weights=weights, training=training) tf.debugging.check_numerics(alpha_loss, 'Alpha loss is inf or nan.') with tf.name_scope('Losses'): tf.compat.v2.summary.scalar( name='critic_loss', data=critic_loss, step=self.train_step_counter) tf.compat.v2.summary.scalar( name='actor_loss', data=actor_loss, step=self.train_step_counter) tf.compat.v2.summary.scalar( name='alpha_loss', data=alpha_loss, step=self.train_step_counter) total_loss = critic_loss + actor_loss + alpha_loss extra = SacLossInfo( critic_loss=critic_loss, actor_loss=actor_loss, alpha_loss=alpha_loss) return tf_agent.LossInfo(loss=total_loss, extra=extra) def _apply_gradients(self, gradients, variables, optimizer): # list(...) is required for Python3. grads_and_vars = list(zip(gradients, variables)) if self._gradient_clipping is not None: grads_and_vars = eager_utils.clip_gradient_norms(grads_and_vars, self._gradient_clipping) if self._summarize_grads_and_vars: eager_utils.add_variables_summaries(grads_and_vars, self.train_step_counter) eager_utils.add_gradients_summaries(grads_and_vars, self.train_step_counter) optimizer.apply_gradients(grads_and_vars) def _get_target_updater(self, tau=1.0, period=1): """Performs a soft update of the target network parameters. For each weight w_s in the original network, and its corresponding weight w_t in the target network, a soft update is: w_t = (1- tau) x w_t + tau x ws Args: tau: A float scalar in [0, 1]. Default `tau=1.0` means hard update. period: Step interval at which the target network is updated. Returns: A callable that performs a soft update of the target network parameters. """ with tf.name_scope('update_target'): def update(): """Update target network.""" critic_update_1 = common.soft_variables_update( self._critic_network_1.variables, self._target_critic_network_1.variables, tau, tau_non_trainable=1.0) critic_2_update_vars = common.deduped_network_variables( self._critic_network_2, self._critic_network_1) target_critic_2_update_vars = common.deduped_network_variables( self._target_critic_network_2, self._target_critic_network_1) critic_update_2 = common.soft_variables_update( critic_2_update_vars, target_critic_2_update_vars, tau, tau_non_trainable=1.0) return tf.group(critic_update_1, critic_update_2) return common.Periodically(update, period, 'update_targets') def _actions_and_log_probs(self, time_steps, training=False): """Get actions and corresponding log probabilities from policy.""" # Get raw action distribution from policy, and initialize bijectors list. batch_size = nest_utils.get_outer_shape(time_steps, self._time_step_spec)[0] policy_state = self._train_policy.get_initial_state(batch_size) if training: action_distribution = self._train_policy.distribution( time_steps, policy_state=policy_state).action else: action_distribution = self._policy.distribution( time_steps, policy_state=policy_state).action # Sample actions and log_pis from transformed distribution. actions = tf.nest.map_structure(lambda d: d.sample(), action_distribution) log_pi = common.log_probability(action_distribution, actions, self.action_spec) return actions, log_pi def critic_loss(self, time_steps: ts.TimeStep, actions: types.Tensor, next_time_steps: ts.TimeStep, td_errors_loss_fn: types.LossFn, gamma: types.Float = 1.0, reward_scale_factor: types.Float = 1.0, weights: Optional[types.Tensor] = None, training: bool = False) -> types.Tensor: """Computes the critic loss for SAC training. Args: time_steps: A batch of timesteps. actions: A batch of actions. next_time_steps: A batch of next timesteps. td_errors_loss_fn: A function(td_targets, predictions) to compute elementwise (per-batch-entry) loss. gamma: Discount for future rewards. reward_scale_factor: Multiplicative factor to scale rewards. weights: Optional scalar or elementwise (per-batch-entry) importance weights. training: Whether this loss is being used for training. Returns: critic_loss: A scalar critic loss. """ with tf.name_scope('critic_loss'): nest_utils.assert_same_structure(actions, self.action_spec) nest_utils.assert_same_structure(time_steps, self.time_step_spec) nest_utils.assert_same_structure(next_time_steps, self.time_step_spec) # We do not update actor or target networks in critic loss. next_actions, next_log_pis = self._actions_and_log_probs(next_time_steps, training=False) target_input = (next_time_steps.observation, next_actions) target_q_values1, unused_network_state1 = self._target_critic_network_1( target_input, step_type=next_time_steps.step_type, training=False) target_q_values2, unused_network_state2 = self._target_critic_network_2( target_input, step_type=next_time_steps.step_type, training=False) target_q_values = ( tf.minimum(target_q_values1, target_q_values2) - tf.exp(self._log_alpha) * next_log_pis) td_targets = tf.stop_gradient( reward_scale_factor * next_time_steps.reward + gamma * next_time_steps.discount * target_q_values) pred_input = (time_steps.observation, actions) pred_td_targets1, _ = self._critic_network_1( pred_input, step_type=time_steps.step_type, training=training) pred_td_targets2, _ = self._critic_network_2( pred_input, step_type=time_steps.step_type, training=training) critic_loss1 = td_errors_loss_fn(td_targets, pred_td_targets1) critic_loss2 = td_errors_loss_fn(td_targets, pred_td_targets2) critic_loss = critic_loss1 + critic_loss2 if critic_loss.shape.rank > 1: # Sum over the time dimension. critic_loss = tf.reduce_sum( critic_loss, axis=range(1, critic_loss.shape.rank)) agg_loss = common.aggregate_losses( per_example_loss=critic_loss, sample_weight=weights, regularization_loss=(self._critic_network_1.losses + self._critic_network_2.losses)) critic_loss = agg_loss.total_loss self._critic_loss_debug_summaries(td_targets, pred_td_targets1, pred_td_targets2) return critic_loss def actor_loss(self, time_steps: ts.TimeStep, weights: Optional[types.Tensor] = None, training: Optional[bool] = True) -> types.Tensor: """Computes the actor_loss for SAC training. Args: time_steps: A batch of timesteps. weights: Optional scalar or elementwise (per-batch-entry) importance weights. training: Whether training should be applied. Returns: actor_loss: A scalar actor loss. """ with tf.name_scope('actor_loss'): nest_utils.assert_same_structure(time_steps, self.time_step_spec) actions, log_pi = self._actions_and_log_probs(time_steps, training=training) target_input = (time_steps.observation, actions) # We do not update critic during actor loss. target_q_values1, _ = self._critic_network_1( target_input, step_type=time_steps.step_type, training=False) target_q_values2, _ = self._critic_network_2( target_input, step_type=time_steps.step_type, training=False) target_q_values = tf.minimum(target_q_values1, target_q_values2) actor_loss = tf.exp(self._log_alpha) * log_pi - target_q_values if actor_loss.shape.rank > 1: # Sum over the time dimension. actor_loss = tf.reduce_sum( actor_loss, axis=range(1, actor_loss.shape.rank)) reg_loss = self._actor_network.losses if self._actor_network else None agg_loss = common.aggregate_losses( per_example_loss=actor_loss, sample_weight=weights, regularization_loss=reg_loss) actor_loss = agg_loss.total_loss self._actor_loss_debug_summaries(actor_loss, actions, log_pi, target_q_values, time_steps) return actor_loss def alpha_loss(self, time_steps: ts.TimeStep, weights: Optional[types.Tensor] = None, training: bool = False) -> types.Tensor: """Computes the alpha_loss for EC-SAC training. Args: time_steps: A batch of timesteps. weights: Optional scalar or elementwise (per-batch-entry) importance weights. training: Whether this loss is being used during training. Returns: alpha_loss: A scalar alpha loss. """ with tf.name_scope('alpha_loss'): nest_utils.assert_same_structure(time_steps, self.time_step_spec) # We do not update actor during alpha loss. unused_actions, log_pi = self._actions_and_log_probs( time_steps, training=False) entropy_diff = tf.stop_gradient(-log_pi - self._target_entropy) if self._use_log_alpha_in_alpha_loss: alpha_loss = (self._log_alpha * entropy_diff) else: alpha_loss = (tf.exp(self._log_alpha) * entropy_diff) if alpha_loss.shape.rank > 1: # Sum over the time dimension. alpha_loss = tf.reduce_sum( alpha_loss, axis=range(1, alpha_loss.shape.rank)) agg_loss = common.aggregate_losses( per_example_loss=alpha_loss, sample_weight=weights) alpha_loss = agg_loss.total_loss self._alpha_loss_debug_summaries(alpha_loss, entropy_diff) return alpha_loss def _critic_loss_debug_summaries(self, td_targets, pred_td_targets1, pred_td_targets2): if self._debug_summaries: td_errors1 = td_targets - pred_td_targets1 td_errors2 = td_targets - pred_td_targets2 td_errors = tf.concat([td_errors1, td_errors2], axis=0) common.generate_tensor_summaries('td_errors', td_errors, self.train_step_counter) common.generate_tensor_summaries('td_targets', td_targets, self.train_step_counter) common.generate_tensor_summaries('pred_td_targets1', pred_td_targets1, self.train_step_counter) common.generate_tensor_summaries('pred_td_targets2', pred_td_targets2, self.train_step_counter) def _actor_loss_debug_summaries(self, actor_loss, actions, log_pi, target_q_values, time_steps): if self._debug_summaries: common.generate_tensor_summaries('actor_loss', actor_loss, self.train_step_counter) try: for name, action in nest_utils.flatten_with_joined_paths(actions): common.generate_tensor_summaries(name, action, self.train_step_counter) except ValueError: pass # Guard against internal SAC variants that do not directly # generate actions. common.generate_tensor_summaries('log_pi', log_pi, self.train_step_counter) tf.compat.v2.summary.scalar( name='entropy_avg', data=-tf.reduce_mean(input_tensor=log_pi), step=self.train_step_counter) common.generate_tensor_summaries('target_q_values', target_q_values, self.train_step_counter) batch_size = nest_utils.get_outer_shape(time_steps, self._time_step_spec)[0] policy_state = self._train_policy.get_initial_state(batch_size) action_distribution = self._train_policy.distribution( time_steps, policy_state).action if isinstance(action_distribution, tfp.distributions.Normal): common.generate_tensor_summaries('act_mean', action_distribution.loc, self.train_step_counter) common.generate_tensor_summaries('act_stddev', action_distribution.scale, self.train_step_counter) elif isinstance(action_distribution, tfp.distributions.Categorical): common.generate_tensor_summaries('act_mode', action_distribution.mode(), self.train_step_counter) try: for name, action_dist in nest_utils.flatten_with_joined_paths( action_distribution): common.generate_tensor_summaries('entropy_' + name, action_dist.entropy(), self.train_step_counter) except NotImplementedError: pass # Some distributions do not have an analytic entropy. def _alpha_loss_debug_summaries(self, alpha_loss, entropy_diff): if self._debug_summaries: common.generate_tensor_summaries('alpha_loss', alpha_loss, self.train_step_counter) common.generate_tensor_summaries('entropy_diff', entropy_diff, self.train_step_counter) tf.compat.v2.summary.scalar( name='log_alpha', data=self._log_alpha, step=self.train_step_counter)	[ 1, 396, 14137, 29922, 9420, 29899, 29947, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29906, 29900, 450, 323, 29943, 29899, 14769, 1237, 13189, 943, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 268, 2045, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 13, 29937, 365, 524, 408, 29901, 3017, 29906, 29892, 3017, 29941, 13, 15945, 29908, 29909, 1105, 615, 319, 2801, 29899, 29907, 768, 293, 28330, 29889, 13, 13, 1888, 9711, 278, 1105, 615, 319, 2801, 29899, 29907, 768, 293, 313, 29903, 2477, 29897, 5687, 515, 13, 29908, 6295, 615, 319, 2801, 29899, 29907, 768, 293, 11545, 12404, 322, 2401, 5795, 29908, 491, 379, 4025, 1217, 1764, 634, 394, 313, 29906, 29900, 29896, 29929, 467, 13, 15945, 29908, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8542, 13, 3166, 4770, 29888, 9130, 1649, 1053, 1596, 29918, 2220, 13, 13, 5215, 16250, 13, 3166, 19229, 1053, 8251, 519, 29892, 28379, 29892, 3992, 13, 13, 5215, 330, 262, 13, 5215, 12655, 408, 7442, 13, 3166, 4832, 29889, 13529, 267, 1053, 14319, 13, 5215, 26110, 408, 15886, 29871, 396, 282, 2904, 524, 29901, 11262, 29922, 29887, 29899, 4548, 4019, 29899, 29056, 29899, 3259, 29899, 5215, 13, 5215, 26110, 29918, 22795, 3097, 408, 15886, 29886, 13, 13, 3166, 15886, 29918, 351, 1237, 29889, 351, 1237, 1053, 848, 29918, 535, 13549, 13, 3166, 15886, 29918, 351, 1237, 29889, 351, 1237, 1053, 15886, 29918, 14748, 13, 3166, 15886, 29918, 351, 1237, 29889, 11618, 29879, 1053, 3564, 13, 3166, 15886, 29918, 351, 1237, 29889, 3733, 293, 583, 1053, 11339, 29918, 22197, 13, 3166, 15886, 29918, 351, 1237, 29889, 3733, 293, 583, 1053, 15886, 29918, 22197, 13, 3166, 15886, 29918, 351, 1237, 29889, 3018, 622, 3842, 1053, 931, 29918, 10568, 408, 18696, 13, 3166, 15886, 29918, 351, 1237, 29889, 1017, 15702, 1053, 4072, 13, 3166, 15886, 29918, 351, 1237, 29889, 13239, 1053, 3619, 13, 3166, 15886, 29918, 351, 1237, 29889, 13239, 1053, 19888, 29918, 13239, 13, 3166, 15886, 29918, 351, 1237, 29889, 13239, 1053, 17763, 29918, 13239, 13, 3166, 15886, 29918, 351, 1237, 29889, 13239, 1053, 1203, 29918, 22350, 13, 13, 13, 29903, 562, 29931, 2209, 3401, 353, 16250, 29889, 17514, 23583, 29898, 13, 1678, 525, 29903, 562, 29931, 2209, 3401, 742, 6702, 9695, 293, 29918, 6758, 742, 525, 7168, 29918, 6758, 742, 525, 2312, 29918, 6758, 8785, 13, 13, 13, 29937, 14402, 29898, 29890, 29914, 29896, 29946, 29947, 29947, 29947, 29929, 29946, 29953, 29941, 1125, 16460, 403, 3659, 29918, 24049, 29918, 9067, 13, 29992, 5359, 29889, 2917, 21115, 13, 1753, 3659, 29918, 24049, 29918, 9067, 29898, 4172, 3359, 29879, 29901, 4072, 29889, 29940, 2868, 29911, 6073, 29897, 1599, 4072, 29889, 29940, 2868, 29911, 6073, 29901, 13, 29871, 3659, 3359, 29879, 353, 15886, 29889, 17510, 29889, 1958, 29918, 23905, 29898, 2892, 260, 29901, 15886, 29889, 24049, 29918, 1609, 29918, 1767, 29898, 29873, 29892, 448, 29906, 29900, 29892, 29871, 29906, 511, 13, 462, 462, 29871, 3659, 3359, 29879, 29897, 13, 29871, 736, 15886, 29889, 4548, 29898, 4172, 3359, 29879, 29897, 13, 13, 13, 29992, 5359, 29889, 2917, 21115, 13, 1990, 15573, 19661, 29898, 13264, 29918, 14748, 29889, 29911, 4519, 5362, 1125, 13, 29871, 9995, 29909, 317, 2477, 28330, 1213, 15945, 13, 13, 29871, 822, 4770, 2344, 12035, 1311, 29892, 13, 1669, 931, 29918, 10568, 29918, 6550, 29901, 18696, 29889, 2481, 14448, 29892, 13, 1669, 3158, 29918, 6550, 29901, 4072, 29889, 29940, 2868, 29911, 6073, 10299, 29892, 13, 1669, 11164, 29918, 11618, 29901, 3564, 29889, 13724, 29892, 13, 1669, 11339, 29918, 11618, 29901, 3564, 29889, 13724, 29892, 13, 1669, 11339, 29918, 20640, 3950, 29901, 4072, 29889, 20624, 326, 3950, 29892, 13, 1669, 11164, 29918, 20640, 3950, 29901, 4072, 29889, 20624, 326, 3950, 29892, 13, 1669, 15595, 29918, 20640, 3950, 29901, 4072, 29889, 20624, 326, 3950, 29892, 13, 1669, 11339, 29918, 6758, 29918, 7915, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 1669, 11164, 29918, 6758, 29918, 7915, 29901, 4072, 29889, 11031, 353, 29871, 29900, 29889, 29945, 29892, 13, 1669, 15595, 29918, 6758, 29918, 7915, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 1669, 11339, 29918, 22197, 29918, 2801, 29901, 8251, 519, 29961, 13, 462, 259, 2023, 29892, 15886, 29918, 22197, 29889, 8969, 15644, 29962, 353, 11339, 29918, 22197, 29889, 29909, 2801, 15644, 29892, 13, 1669, 11164, 29918, 11618, 29918, 29906, 29901, 28379, 29961, 11618, 29889, 13724, 29962, 353, 6213, 29892, 13, 1669, 3646, 29918, 9695, 293, 29918, 11618, 29901, 28379, 29961, 11618, 29889, 13724, 29962, 353, 6213, 29892, 13, 1669, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29901, 28379, 29961, 11618, 29889, 13724, 29962, 353, 6213, 29892, 13, 1669, 3646, 29918, 5504, 29918, 4722, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 1669, 3646, 29918, 5504, 29918, 19145, 29901, 4072, 29889, 2928, 353, 29871, 29896, 29892, 13, 1669, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29901, 4072, 29889, 29931, 2209, 29137, 353, 15886, 29889, 755, 29889, 26613, 1965, 29918, 29881, 17678, 29892, 13, 1669, 330, 2735, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 1669, 20751, 29918, 7052, 29918, 19790, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 1669, 2847, 29918, 1188, 29918, 2312, 29901, 4072, 29889, 11031, 353, 29871, 29900, 29889, 29900, 29892, 13, 1669, 671, 29918, 1188, 29918, 2312, 29918, 262, 29918, 2312, 29918, 6758, 29901, 6120, 353, 5852, 29892, 13, 1669, 3646, 29918, 296, 14441, 29901, 28379, 29961, 8768, 29889, 11031, 29962, 353, 6213, 29892, 13, 1669, 16030, 29918, 11303, 3262, 29901, 28379, 29961, 8768, 29889, 11031, 29962, 353, 6213, 29892, 13, 1669, 4744, 29918, 2083, 3034, 583, 29901, 6120, 353, 7700, 29892, 13, 1669, 19138, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 29901, 6120, 353, 7700, 29892, 13, 1669, 7945, 29918, 10568, 29918, 11808, 29901, 28379, 29961, 13264, 29889, 16174, 29962, 353, 6213, 29892, 13, 1669, 1024, 29901, 28379, 29961, 1626, 29962, 353, 6213, 1125, 13, 1678, 9995, 9832, 1078, 263, 317, 2477, 28330, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 931, 29918, 10568, 29918, 6550, 29901, 319, 421, 2481, 14448, 29952, 1580, 310, 278, 3806, 931, 29918, 24530, 29889, 13, 418, 3158, 29918, 6550, 29901, 319, 17763, 310, 350, 7261, 29911, 6073, 10299, 15783, 278, 8820, 29889, 13, 418, 11164, 29918, 11618, 29901, 319, 740, 11164, 29918, 11618, 3552, 26739, 800, 29892, 8820, 876, 393, 13, 4706, 3639, 278, 3855, 29918, 5975, 363, 1269, 15500, 322, 3158, 29889, 13, 418, 11339, 29918, 11618, 29901, 319, 740, 11339, 29918, 11618, 29898, 26739, 362, 29892, 3158, 29918, 6550, 29897, 393, 13, 4706, 3639, 3158, 4978, 29889, 13, 418, 11339, 29918, 20640, 3950, 29901, 450, 5994, 3950, 304, 671, 363, 278, 11339, 3564, 29889, 13, 418, 11164, 29918, 20640, 3950, 29901, 450, 2322, 5994, 3950, 304, 671, 363, 278, 11164, 3564, 29889, 13, 418, 15595, 29918, 20640, 3950, 29901, 450, 2322, 5994, 3950, 304, 671, 363, 278, 15595, 2286, 29889, 13, 418, 11339, 29918, 6758, 29918, 7915, 29901, 450, 7688, 373, 11339, 6410, 29889, 13, 418, 11164, 29918, 6758, 29918, 7915, 29901, 450, 7688, 373, 11164, 6410, 29889, 13, 418, 15595, 29918, 6758, 29918, 7915, 29901, 450, 7688, 373, 15595, 6410, 29889, 13, 418, 11339, 29918, 22197, 29918, 2801, 29901, 450, 8898, 770, 304, 671, 29889, 13, 418, 11164, 29918, 11618, 29918, 29906, 29901, 313, 27636, 1846, 29871, 319, 421, 13264, 29918, 351, 1237, 29889, 11618, 29889, 13724, 29952, 304, 367, 1304, 408, 13, 4706, 278, 1473, 11164, 3564, 2645, 660, 6509, 29889, 29871, 450, 18177, 515, 13, 4706, 421, 9695, 293, 29918, 11618, 29952, 526, 13746, 565, 445, 338, 451, 4944, 29889, 13, 418, 3646, 29918, 9695, 293, 29918, 11618, 29901, 313, 27636, 1846, 29871, 319, 421, 13264, 29918, 351, 1237, 29889, 11618, 29889, 13724, 29952, 304, 367, 13, 4706, 1304, 408, 278, 3646, 11164, 3564, 2645, 660, 6509, 29889, 7569, 13, 4706, 421, 5182, 29918, 5504, 29918, 19145, 29952, 7945, 6576, 29892, 278, 18177, 515, 421, 9695, 293, 29918, 11618, 29952, 13, 4706, 526, 13746, 313, 28802, 14981, 411, 3844, 29877, 6046, 3025, 421, 5182, 29918, 5504, 29918, 4722, 6348, 304, 421, 13, 4706, 3646, 29918, 9695, 293, 29918, 11618, 1412, 29871, 960, 421, 5182, 29918, 9695, 293, 29918, 11618, 29952, 338, 451, 4944, 29892, 372, 13, 4706, 338, 2825, 491, 3907, 263, 3509, 310, 421, 9695, 293, 29918, 11618, 1673, 607, 2847, 7093, 263, 716, 13, 4706, 3564, 411, 278, 1021, 3829, 322, 967, 1914, 15359, 322, 18177, 29889, 13, 4706, 27313, 292, 263, 421, 13724, 29889, 8552, 29952, 947, 451, 664, 746, 278, 3564, 2777, 13, 4706, 2307, 756, 7945, 519, 4128, 313, 29872, 29889, 29887, 1696, 756, 2307, 1063, 4240, 29892, 470, 746, 13, 4706, 278, 3564, 338, 19383, 15359, 411, 1790, 467, 29871, 512, 1438, 4251, 29892, 372, 338, 701, 13, 4706, 304, 366, 304, 2048, 263, 3509, 2534, 18177, 393, 526, 451, 7258, 411, 278, 13, 4706, 2441, 421, 9695, 293, 29918, 11618, 1673, 577, 393, 445, 508, 367, 1304, 408, 263, 3646, 3564, 29889, 13, 4706, 960, 366, 3867, 263, 421, 5182, 29918, 9695, 293, 29918, 11618, 29952, 393, 29358, 738, 18177, 411, 13, 4706, 421, 9695, 293, 29918, 11618, 1673, 263, 9177, 674, 367, 13817, 541, 694, 3682, 338, 12005, 29889, 13, 418, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29901, 313, 27636, 1846, 13999, 3564, 408, 13, 4706, 3646, 29918, 9695, 293, 29918, 11618, 541, 363, 278, 11164, 29918, 11618, 29918, 29906, 29889, 2823, 5106, 13, 4706, 363, 3646, 29918, 9695, 293, 29918, 11618, 29889, 2811, 871, 367, 1304, 565, 525, 9695, 293, 29918, 11618, 29918, 29906, 29915, 338, 13, 4706, 884, 6790, 29889, 13, 418, 3646, 29918, 5504, 29918, 4722, 29901, 383, 7168, 363, 4964, 2767, 310, 278, 3646, 14379, 29889, 13, 418, 3646, 29918, 5504, 29918, 19145, 29901, 29498, 363, 4964, 2767, 310, 278, 3646, 14379, 29889, 13, 418, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29901, 29871, 319, 740, 363, 20602, 278, 1543, 3538, 323, 29928, 4436, 13, 4706, 6410, 29889, 13, 418, 330, 2735, 29901, 319, 2313, 792, 7329, 363, 5434, 337, 2935, 29889, 13, 418, 20751, 29918, 7052, 29918, 19790, 29901, 9683, 666, 506, 1230, 6287, 363, 278, 20751, 29889, 13, 418, 2847, 29918, 1188, 29918, 2312, 29901, 17250, 995, 363, 1480, 29918, 2312, 29889, 13, 418, 671, 29918, 1188, 29918, 2312, 29918, 262, 29918, 2312, 29918, 6758, 29901, 319, 7223, 29892, 3692, 773, 1480, 29918, 2312, 470, 15595, 13, 4706, 297, 15595, 6410, 29889, 315, 13946, 20240, 310, 317, 2477, 671, 1480, 29918, 2312, 408, 1480, 13, 4706, 1819, 526, 6892, 16588, 261, 304, 664, 411, 29889, 13, 418, 3646, 29918, 296, 14441, 29901, 450, 3646, 6588, 8898, 24687, 29892, 363, 13271, 15595, 29889, 450, 13, 4706, 2322, 995, 338, 8178, 310, 278, 3001, 1353, 310, 8820, 29889, 13, 418, 16030, 29918, 11303, 3262, 29901, 5655, 3309, 304, 20102, 4656, 10070, 29889, 13, 418, 4744, 29918, 2083, 3034, 583, 29901, 319, 6120, 304, 11705, 4744, 19138, 583, 29889, 13, 418, 19138, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 29901, 960, 5852, 29892, 16030, 322, 3564, 2286, 19138, 583, 13, 4706, 674, 367, 3971, 2645, 6694, 29889, 13, 418, 7945, 29918, 10568, 29918, 11808, 29901, 530, 13136, 6795, 304, 11924, 1432, 931, 278, 7945, 13, 4706, 1015, 338, 1065, 29889, 29871, 13109, 29879, 304, 278, 5534, 29918, 10568, 29889, 13, 418, 1024, 29901, 450, 1024, 310, 445, 10823, 29889, 2178, 3651, 297, 445, 3883, 674, 6416, 1090, 13, 4706, 393, 1024, 29889, 13109, 29879, 304, 278, 770, 1024, 29889, 13, 1678, 9995, 13, 1678, 15886, 29889, 7355, 17255, 2344, 12035, 1311, 29892, 1024, 29922, 978, 29897, 13, 13, 1678, 1583, 3032, 3198, 29918, 2467, 29918, 6550, 29898, 2467, 29918, 6550, 29897, 13, 13, 1678, 7787, 29918, 26739, 362, 29918, 6550, 353, 931, 29918, 10568, 29918, 6550, 29889, 26739, 362, 13, 1678, 11164, 29918, 6550, 353, 313, 1212, 29918, 26739, 362, 29918, 6550, 29892, 3158, 29918, 6550, 29897, 13, 13, 1678, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 353, 11164, 29918, 11618, 13, 13, 1678, 565, 11164, 29918, 11618, 29918, 29906, 338, 451, 6213, 29901, 13, 418, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 353, 11164, 29918, 11618, 29918, 29906, 13, 1678, 1683, 29901, 13, 418, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 353, 11164, 29918, 11618, 29889, 8552, 29898, 978, 2433, 29907, 768, 293, 13724, 29906, 1495, 13, 418, 396, 1938, 451, 671, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 565, 11164, 29918, 11618, 29918, 29906, 338, 6213, 29889, 13, 418, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 353, 6213, 13, 13, 1678, 396, 20340, 2745, 11164, 29918, 11618, 29918, 29906, 756, 1063, 13746, 515, 11164, 29918, 11618, 29918, 29896, 1434, 13, 1678, 396, 4969, 3651, 373, 1716, 29889, 13, 1678, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29889, 3258, 29918, 20897, 29898, 9695, 293, 29918, 6550, 29897, 13, 1678, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29889, 3258, 29918, 20897, 29898, 9695, 293, 29918, 6550, 29897, 13, 13, 1678, 565, 3646, 29918, 9695, 293, 29918, 11618, 29901, 13, 418, 3646, 29918, 9695, 293, 29918, 11618, 29889, 3258, 29918, 20897, 29898, 9695, 293, 29918, 6550, 29897, 13, 13, 1678, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29896, 353, 313, 13, 4706, 3619, 29889, 26026, 29918, 8552, 29918, 5182, 29918, 11618, 29918, 2541, 29918, 3198, 29879, 29898, 13, 9651, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29892, 13, 9651, 3646, 29918, 9695, 293, 29918, 11618, 29892, 13, 9651, 1881, 29918, 6550, 29922, 9695, 293, 29918, 6550, 29892, 13, 9651, 1024, 2433, 8667, 29907, 768, 293, 13724, 29896, 8785, 13, 13, 1678, 565, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29901, 13, 418, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29889, 3258, 29918, 20897, 29898, 9695, 293, 29918, 6550, 29897, 13, 1678, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29906, 353, 313, 13, 4706, 3619, 29889, 26026, 29918, 8552, 29918, 5182, 29918, 11618, 29918, 2541, 29918, 3198, 29879, 29898, 13, 9651, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29892, 13, 9651, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29892, 13, 9651, 1881, 29918, 6550, 29922, 9695, 293, 29918, 6550, 29892, 13, 9651, 1024, 2433, 8667, 29907, 768, 293, 13724, 29906, 8785, 13, 13, 1678, 565, 11339, 29918, 11618, 29901, 13, 418, 11339, 29918, 11618, 29889, 3258, 29918, 20897, 29898, 1212, 29918, 26739, 362, 29918, 6550, 29897, 13, 1678, 1583, 3032, 7168, 29918, 11618, 353, 11339, 29918, 11618, 13, 13, 1678, 8898, 353, 11339, 29918, 22197, 29918, 2801, 29898, 13, 4706, 931, 29918, 10568, 29918, 6550, 29922, 2230, 29918, 10568, 29918, 6550, 29892, 13, 4706, 3158, 29918, 6550, 29922, 2467, 29918, 6550, 29892, 13, 4706, 11339, 29918, 11618, 29922, 1311, 3032, 7168, 29918, 11618, 29892, 13, 4706, 6694, 29922, 8824, 29897, 13, 13, 1678, 1583, 3032, 14968, 29918, 22197, 353, 11339, 29918, 22197, 29918, 2801, 29898, 13, 4706, 931, 29918, 10568, 29918, 6550, 29922, 2230, 29918, 10568, 29918, 6550, 29892, 13, 4706, 3158, 29918, 6550, 29922, 2467, 29918, 6550, 29892, 13, 4706, 11339, 29918, 11618, 29922, 1311, 3032, 7168, 29918, 11618, 29892, 13, 4706, 6694, 29922, 5574, 29897, 13, 13, 1678, 1583, 3032, 1188, 29918, 2312, 353, 3619, 29889, 3258, 29918, 11918, 29898, 13, 4706, 525, 11228, 29918, 1188, 29918, 2312, 742, 13, 4706, 2847, 29918, 1767, 29922, 11228, 29918, 1188, 29918, 2312, 29892, 13, 4706, 26688, 29922, 13264, 29889, 7411, 29941, 29906, 29892, 13, 4706, 7945, 519, 29922, 5574, 29897, 13, 13, 1678, 565, 3646, 29918, 296, 14441, 338, 6213, 29901, 13, 418, 3646, 29918, 296, 14441, 353, 1583, 3032, 657, 29918, 4381, 29918, 5182, 29918, 296, 14441, 29898, 2467, 29918, 6550, 29897, 13, 13, 1678, 1583, 3032, 1509, 29918, 1188, 29918, 2312, 29918, 262, 29918, 2312, 29918, 6758, 353, 671, 29918, 1188, 29918, 2312, 29918, 262, 29918, 2312, 29918, 6758, 13, 1678, 1583, 3032, 5182, 29918, 5504, 29918, 4722, 353, 3646, 29918, 5504, 29918, 4722, 13, 1678, 1583, 3032, 5182, 29918, 5504, 29918, 19145, 353, 3646, 29918, 5504, 29918, 19145, 13, 1678, 1583, 3032, 7168, 29918, 20640, 3950, 353, 11339, 29918, 20640, 3950, 13, 1678, 1583, 3032, 9695, 293, 29918, 20640, 3950, 353, 11164, 29918, 20640, 3950, 13, 1678, 1583, 3032, 2312, 29918, 20640, 3950, 353, 15595, 29918, 20640, 3950, 13, 1678, 1583, 3032, 7168, 29918, 6758, 29918, 7915, 353, 11339, 29918, 6758, 29918, 7915, 13, 1678, 1583, 3032, 9695, 293, 29918, 6758, 29918, 7915, 353, 11164, 29918, 6758, 29918, 7915, 13, 1678, 1583, 3032, 2312, 29918, 6758, 29918, 7915, 353, 15595, 29918, 6758, 29918, 7915, 13, 1678, 1583, 3032, 1594, 29918, 12523, 29918, 6758, 29918, 9144, 353, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 13, 1678, 1583, 3032, 4283, 353, 330, 2735, 13, 1678, 1583, 3032, 276, 1328, 29918, 7052, 29918, 19790, 353, 20751, 29918, 7052, 29918, 19790, 13, 1678, 1583, 3032, 5182, 29918, 296, 14441, 353, 3646, 29918, 296, 14441, 13, 1678, 1583, 3032, 24970, 29918, 11303, 3262, 353, 16030, 29918, 11303, 3262, 13, 1678, 1583, 3032, 8382, 29918, 2083, 3034, 583, 353, 4744, 29918, 2083, 3034, 583, 13, 1678, 1583, 3032, 2083, 3034, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 353, 19138, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 13, 1678, 1583, 3032, 5504, 29918, 5182, 353, 1583, 3032, 657, 29918, 5182, 29918, 786, 29881, 1008, 29898, 13, 4706, 260, 585, 29922, 1311, 3032, 5182, 29918, 5504, 29918, 4722, 29892, 3785, 29922, 1311, 3032, 5182, 29918, 5504, 29918, 19145, 29897, 13, 13, 1678, 7945, 29918, 16506, 29918, 2848, 353, 29871, 29906, 565, 451, 11164, 29918, 11618, 29889, 3859, 29918, 6550, 1683, 6213, 13, 13, 1678, 2428, 29898, 29903, 562, 19661, 29892, 1583, 467, 1649, 2344, 12035, 13, 4706, 931, 29918, 10568, 29918, 6550, 29892, 13, 4706, 3158, 29918, 6550, 29892, 13, 4706, 8898, 29922, 22197, 29892, 13, 4706, 6314, 29918, 22197, 29922, 22197, 29892, 13, 4706, 7945, 29918, 16506, 29918, 2848, 29922, 14968, 29918, 16506, 29918, 2848, 29892, 13, 4706, 4744, 29918, 2083, 3034, 583, 29922, 8382, 29918, 2083, 3034, 583, 29892, 13, 4706, 19138, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 29922, 2083, 3034, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 29892, 13, 4706, 7945, 29918, 10568, 29918, 11808, 29922, 14968, 29918, 10568, 29918, 11808, 29892, 13, 1678, 1723, 13, 13, 1678, 1583, 3032, 294, 29918, 20543, 353, 848, 29918, 535, 13549, 29889, 2887, 4300, 654, 29898, 13, 4706, 1583, 29889, 1272, 29918, 4703, 29892, 269, 802, 29872, 911, 29918, 2230, 29918, 6229, 7607, 14968, 29918, 16506, 29918, 2848, 1275, 29871, 29906, 876, 13, 13, 29871, 822, 903, 3198, 29918, 2467, 29918, 6550, 29898, 1311, 29892, 3158, 29918, 6550, 1125, 13, 1678, 12151, 29918, 2467, 29918, 6550, 353, 15886, 29889, 17510, 29889, 1579, 8606, 29898, 2467, 29918, 6550, 29897, 13, 1678, 363, 1580, 297, 12151, 29918, 2467, 29918, 6550, 29901, 13, 418, 565, 1580, 29889, 29881, 1853, 29889, 275, 29918, 16031, 29901, 13, 4706, 12020, 2216, 1888, 2037, 287, 2392, 29898, 13, 9651, 525, 29903, 562, 19661, 947, 451, 5279, 2304, 19554, 8820, 29889, 525, 13, 9651, 525, 4276, 1580, 29901, 6571, 4286, 4830, 29898, 2467, 29918, 6550, 876, 13, 13, 29871, 822, 903, 657, 29918, 4381, 29918, 5182, 29918, 296, 14441, 29898, 1311, 29892, 3158, 29918, 6550, 1125, 13, 1678, 396, 960, 3646, 29918, 296, 14441, 471, 451, 4502, 29892, 731, 372, 304, 448, 6229, 29898, 29909, 6802, 29906, 29889, 29900, 13, 1678, 396, 3940, 393, 278, 2441, 2322, 24687, 3646, 338, 448, 6229, 29898, 29909, 29897, 297, 278, 317, 2477, 5650, 29889, 13, 1678, 396, 2398, 445, 883, 2785, 756, 884, 1063, 1304, 297, 6944, 491, 278, 2441, 13, 1678, 396, 15717, 322, 756, 297, 1749, 7271, 1063, 901, 13714, 363, 330, 962, 29914, 2589, 29926, 6235, 29889, 13, 1678, 12151, 29918, 2467, 29918, 6550, 353, 15886, 29889, 17510, 29889, 1579, 8606, 29898, 2467, 29918, 6550, 29897, 13, 1678, 3646, 29918, 296, 14441, 353, 448, 9302, 29889, 2083, 4197, 13, 4706, 7442, 29889, 4704, 29898, 14369, 29918, 6550, 29889, 12181, 29889, 294, 29918, 1761, 3101, 13, 4706, 363, 2323, 29918, 6550, 297, 12151, 29918, 2467, 29918, 6550, 13, 268, 2314, 847, 29871, 29906, 29889, 29900, 13, 1678, 736, 3646, 29918, 296, 14441, 13, 13, 29871, 822, 903, 24926, 29898, 1311, 1125, 13, 1678, 9995, 11609, 29879, 385, 1015, 304, 11905, 278, 10823, 29889, 13, 13, 1678, 10061, 583, 18177, 515, 278, 660, 14379, 304, 278, 3646, 660, 3564, 29889, 13, 1678, 9995, 13, 1678, 3619, 29889, 2695, 29918, 20897, 29918, 5504, 29898, 13, 4706, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29889, 20897, 29892, 13, 4706, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29896, 29889, 20897, 29892, 13, 4706, 260, 585, 29922, 29896, 29889, 29900, 29897, 13, 1678, 3619, 29889, 2695, 29918, 20897, 29918, 5504, 29898, 13, 4706, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29889, 20897, 29892, 13, 4706, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29889, 20897, 29892, 13, 4706, 260, 585, 29922, 29896, 29889, 29900, 29897, 13, 13, 29871, 822, 903, 14968, 29898, 1311, 29892, 7271, 29892, 18177, 1125, 13, 1678, 9995, 11609, 29879, 263, 7945, 1015, 304, 2767, 278, 10823, 29915, 29879, 14379, 29889, 13, 13, 1678, 910, 1158, 22983, 411, 278, 4944, 9853, 287, 7271, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 7271, 29901, 319, 931, 29899, 1429, 287, 23324, 706, 1203, 29889, 13, 418, 18177, 29901, 28379, 17336, 470, 1543, 3538, 313, 546, 29899, 16175, 29899, 8269, 29897, 13500, 13, 4706, 18177, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 319, 7945, 29918, 459, 29889, 13, 13, 1678, 390, 1759, 267, 29901, 13, 418, 7865, 2392, 29901, 960, 5994, 19427, 526, 6213, 322, 694, 2322, 995, 471, 4944, 304, 13, 4706, 278, 5823, 29889, 13, 1678, 9995, 13, 1678, 9558, 353, 1583, 3032, 294, 29918, 20543, 29898, 735, 546, 5597, 29897, 13, 1678, 931, 29918, 24530, 29892, 8898, 29918, 24530, 29892, 2446, 29918, 2230, 29918, 24530, 353, 9558, 13, 1678, 8820, 353, 8898, 29918, 24530, 29889, 2467, 13, 13, 1678, 7945, 519, 29918, 9695, 293, 29918, 20897, 353, 1051, 29898, 3318, 29918, 22350, 29889, 2061, 18415, 2697, 29898, 13, 4706, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29889, 14968, 519, 29918, 20897, 718, 13, 4706, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29889, 14968, 519, 29918, 20897, 876, 13, 13, 1678, 411, 15886, 29889, 25584, 993, 29911, 4085, 29898, 12344, 29918, 5943, 287, 29918, 20897, 29922, 8824, 29897, 408, 260, 4085, 29901, 13, 418, 4974, 7945, 519, 29918, 9695, 293, 29918, 20897, 29892, 6702, 3782, 7945, 519, 11164, 3651, 304, 525, 13, 462, 462, 3986, 525, 20640, 675, 29889, 1495, 13, 418, 260, 4085, 29889, 12344, 29898, 14968, 519, 29918, 9695, 293, 29918, 20897, 29897, 13, 418, 11164, 29918, 6758, 353, 1583, 3032, 9695, 293, 29918, 6758, 29918, 7915, 29930, 1311, 29889, 9695, 293, 29918, 6758, 29898, 13, 3986, 931, 29918, 24530, 29892, 13, 3986, 8820, 29892, 13, 3986, 2446, 29918, 2230, 29918, 24530, 29892, 13, 3986, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29922, 1311, 3032, 1594, 29918, 12523, 29918, 6758, 29918, 9144, 29892, 13, 3986, 330, 2735, 29922, 1311, 3032, 4283, 29892, 13, 3986, 20751, 29918, 7052, 29918, 19790, 29922, 1311, 3032, 276, 1328, 29918, 7052, 29918, 19790, 29892, 13, 3986, 18177, 29922, 705, 5861, 29892, 13, 3986, 6694, 29922, 5574, 29897, 13, 13, 1678, 15886, 29889, 8382, 3460, 29889, 3198, 29918, 8058, 1199, 29898, 9695, 293, 29918, 6758, 29892, 525, 29907, 768, 293, 6410, 338, 3041, 470, 23432, 29889, 1495, 13, 1678, 11164, 29918, 5105, 29879, 353, 260, 4085, 29889, 24970, 29898, 9695, 293, 29918, 6758, 29892, 7945, 519, 29918, 9695, 293, 29918, 20897, 29897, 13, 1678, 1583, 3032, 7302, 29918, 5105, 10070, 29898, 9695, 293, 29918, 5105, 29879, 29892, 7945, 519, 29918, 9695, 293, 29918, 20897, 29892, 13, 462, 3986, 1583, 3032, 9695, 293, 29918, 20640, 3950, 29897, 13, 13, 1678, 7945, 519, 29918, 7168, 29918, 20897, 353, 1583, 3032, 7168, 29918, 11618, 29889, 14968, 519, 29918, 20897, 13, 1678, 411, 15886, 29889, 25584, 993, 29911, 4085, 29898, 12344, 29918, 5943, 287, 29918, 20897, 29922, 8824, 29897, 408, 260, 4085, 29901, 13, 418, 4974, 7945, 519, 29918, 7168, 29918, 20897, 29892, 6702, 3782, 7945, 519, 11339, 3651, 304, 525, 13, 462, 462, 308, 525, 20640, 675, 29889, 1495, 13, 418, 260, 4085, 29889, 12344, 29898, 14968, 519, 29918, 7168, 29918, 20897, 29897, 13, 418, 11339, 29918, 6758, 353, 1583, 3032, 7168, 29918, 6758, 29918, 7915, 29930, 1311, 29889, 7168, 29918, 6758, 29898, 13, 3986, 931, 29918, 24530, 29892, 18177, 29922, 705, 5861, 29892, 6694, 29922, 5574, 29897, 13, 1678, 15886, 29889, 8382, 3460, 29889, 3198, 29918, 8058, 1199, 29898, 7168, 29918, 6758, 29892, 525, 29909, 2801, 6410, 338, 3041, 470, 23432, 29889, 1495, 13, 1678, 11339, 29918, 5105, 29879, 353, 260, 4085, 29889, 24970, 29898, 7168, 29918, 6758, 29892, 7945, 519, 29918, 7168, 29918, 20897, 29897, 13, 1678, 1583, 3032, 7302, 29918, 5105, 10070, 29898, 7168, 29918, 5105, 29879, 29892, 7945, 519, 29918, 7168, 29918, 20897, 29892, 13, 462, 3986, 1583, 3032, 7168, 29918, 20640, 3950, 29897, 13, 13, 1678, 15595, 29918, 11918, 353, 518, 1311, 3032, 1188, 29918, 2312, 29962, 13, 1678, 411, 15886, 29889, 25584, 993, 29911, 4085, 29898, 12344, 29918, 5943, 287, 29918, 20897, 29922, 8824, 29897, 408, 260, 4085, 29901, 13, 418, 4974, 15595, 29918, 11918, 29892, 525, 3782, 15595, 2286, 304, 24656, 6169, 13, 418, 260, 4085, 29889, 12344, 29898, 2312, 29918, 11918, 29897, 13, 418, 15595, 29918, 6758, 353, 1583, 3032, 2312, 29918, 6758, 29918, 7915, 334, 1583, 29889, 2312, 29918, 6758, 29898, 13, 3986, 931, 29918, 24530, 29892, 18177, 29922, 705, 5861, 29892, 6694, 29922, 5574, 29897, 13, 1678, 15886, 29889, 8382, 3460, 29889, 3198, 29918, 8058, 1199, 29898, 2312, 29918, 6758, 29892, 525, 28630, 6410, 338, 3041, 470, 23432, 29889, 1495, 13, 1678, 15595, 29918, 5105, 29879, 353, 260, 4085, 29889, 24970, 29898, 2312, 29918, 6758, 29892, 15595, 29918, 11918, 29897, 13, 1678, 1583, 3032, 7302, 29918, 5105, 10070, 29898, 2312, 29918, 5105, 29879, 29892, 15595, 29918, 11918, 29892, 1583, 3032, 2312, 29918, 20640, 3950, 29897, 13, 13, 1678, 411, 15886, 29889, 978, 29918, 6078, 877, 29931, 2209, 267, 29374, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 9695, 293, 29918, 6758, 742, 848, 29922, 9695, 293, 29918, 6758, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 7168, 29918, 6758, 742, 848, 29922, 7168, 29918, 6758, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 2312, 29918, 6758, 742, 848, 29922, 2312, 29918, 6758, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 13, 1678, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29889, 16645, 29918, 1202, 29898, 29896, 29897, 13, 1678, 1583, 3032, 5504, 29918, 5182, 580, 13, 13, 1678, 3001, 29918, 6758, 353, 11164, 29918, 6758, 718, 11339, 29918, 6758, 718, 15595, 29918, 6758, 13, 13, 1678, 4805, 353, 15573, 29931, 2209, 3401, 29898, 13, 4706, 11164, 29918, 6758, 29922, 9695, 293, 29918, 6758, 29892, 11339, 29918, 6758, 29922, 7168, 29918, 6758, 29892, 15595, 29918, 6758, 29922, 2312, 29918, 6758, 29897, 13, 13, 1678, 736, 15886, 29918, 14748, 29889, 29931, 2209, 3401, 29898, 6758, 29922, 7827, 29918, 6758, 29892, 4805, 29922, 17833, 29897, 13, 13, 29871, 822, 903, 6758, 29898, 1311, 29892, 13, 9651, 7271, 29901, 4072, 29889, 29940, 2868, 29911, 6073, 29892, 13, 9651, 18177, 29901, 28379, 29961, 8768, 29889, 29911, 6073, 29962, 353, 6213, 29892, 13, 9651, 6694, 29901, 6120, 353, 7700, 1125, 13, 1678, 9995, 11609, 29879, 278, 6410, 310, 278, 4944, 7271, 29889, 13, 13, 1678, 910, 1158, 338, 871, 1304, 472, 1243, 931, 29991, 13, 13, 1678, 826, 3174, 29901, 13, 418, 7271, 29901, 319, 931, 29899, 1429, 287, 23324, 706, 1203, 29889, 13, 418, 18177, 29901, 28379, 17336, 470, 1543, 3538, 313, 546, 29899, 16175, 29899, 8269, 29897, 13500, 13, 4706, 18177, 29889, 13, 418, 6694, 29901, 26460, 445, 6410, 338, 1641, 12833, 408, 760, 310, 6694, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 319, 421, 29931, 2209, 3401, 29952, 6943, 278, 6410, 363, 278, 7271, 29889, 13, 1678, 9995, 13, 1678, 9558, 353, 1583, 3032, 294, 29918, 20543, 29898, 735, 546, 5597, 29897, 13, 1678, 931, 29918, 24530, 29892, 8898, 29918, 24530, 29892, 2446, 29918, 2230, 29918, 24530, 353, 9558, 13, 1678, 8820, 353, 8898, 29918, 24530, 29889, 2467, 13, 1678, 11164, 29918, 6758, 353, 1583, 3032, 9695, 293, 29918, 6758, 29918, 7915, 334, 1583, 29889, 9695, 293, 29918, 6758, 29898, 13, 4706, 931, 29918, 24530, 29892, 13, 4706, 8820, 29892, 13, 4706, 2446, 29918, 2230, 29918, 24530, 29892, 13, 4706, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29922, 1311, 3032, 1594, 29918, 12523, 29918, 6758, 29918, 9144, 29892, 13, 4706, 330, 2735, 29922, 1311, 3032, 4283, 29892, 13, 4706, 20751, 29918, 7052, 29918, 19790, 29922, 1311, 3032, 276, 1328, 29918, 7052, 29918, 19790, 29892, 13, 4706, 18177, 29922, 705, 5861, 29892, 13, 4706, 6694, 29922, 26495, 29897, 13, 1678, 15886, 29889, 8382, 3460, 29889, 3198, 29918, 8058, 1199, 29898, 9695, 293, 29918, 6758, 29892, 525, 29907, 768, 293, 6410, 338, 3041, 470, 23432, 29889, 1495, 13, 13, 1678, 11339, 29918, 6758, 353, 1583, 3032, 7168, 29918, 6758, 29918, 7915, 334, 1583, 29889, 7168, 29918, 6758, 29898, 13, 4706, 931, 29918, 24530, 29892, 18177, 29922, 705, 5861, 29892, 6694, 29922, 26495, 29897, 13, 1678, 15886, 29889, 8382, 3460, 29889, 3198, 29918, 8058, 1199, 29898, 7168, 29918, 6758, 29892, 525, 29909, 2801, 6410, 338, 3041, 470, 23432, 29889, 1495, 13, 13, 1678, 15595, 29918, 6758, 353, 1583, 3032, 2312, 29918, 6758, 29918, 7915, 334, 1583, 29889, 2312, 29918, 6758, 29898, 13, 4706, 931, 29918, 24530, 29892, 18177, 29922, 705, 5861, 29892, 6694, 29922, 26495, 29897, 13, 1678, 15886, 29889, 8382, 3460, 29889, 3198, 29918, 8058, 1199, 29898, 2312, 29918, 6758, 29892, 525, 28630, 6410, 338, 3041, 470, 23432, 29889, 1495, 13, 13, 1678, 411, 15886, 29889, 978, 29918, 6078, 877, 29931, 2209, 267, 29374, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 9695, 293, 29918, 6758, 742, 848, 29922, 9695, 293, 29918, 6758, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 7168, 29918, 6758, 742, 848, 29922, 7168, 29918, 6758, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 2312, 29918, 6758, 742, 848, 29922, 2312, 29918, 6758, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 13, 1678, 3001, 29918, 6758, 353, 11164, 29918, 6758, 718, 11339, 29918, 6758, 718, 15595, 29918, 6758, 13, 13, 1678, 4805, 353, 15573, 29931, 2209, 3401, 29898, 13, 4706, 11164, 29918, 6758, 29922, 9695, 293, 29918, 6758, 29892, 11339, 29918, 6758, 29922, 7168, 29918, 6758, 29892, 15595, 29918, 6758, 29922, 2312, 29918, 6758, 29897, 13, 13, 1678, 736, 15886, 29918, 14748, 29889, 29931, 2209, 3401, 29898, 6758, 29922, 7827, 29918, 6758, 29892, 4805, 29922, 17833, 29897, 13, 13, 29871, 822, 903, 7302, 29918, 5105, 10070, 29898, 1311, 29892, 4656, 10070, 29892, 3651, 29892, 5994, 3950, 1125, 13, 1678, 396, 1051, 29077, 338, 3734, 363, 5132, 29941, 29889, 13, 1678, 4656, 29879, 29918, 392, 29918, 16908, 353, 1051, 29898, 7554, 29898, 5105, 10070, 29892, 3651, 876, 13, 1678, 565, 1583, 3032, 24970, 29918, 11303, 3262, 338, 451, 6213, 29901, 13, 418, 4656, 29879, 29918, 392, 29918, 16908, 353, 19888, 29918, 13239, 29889, 24049, 29918, 24970, 29918, 12324, 29879, 29898, 5105, 29879, 29918, 392, 29918, 16908, 29892, 13, 462, 462, 462, 539, 1583, 3032, 24970, 29918, 11303, 3262, 29897, 13, 13, 1678, 565, 1583, 3032, 2083, 3034, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 29901, 13, 418, 19888, 29918, 13239, 29889, 1202, 29918, 20897, 29918, 2083, 3034, 583, 29898, 5105, 29879, 29918, 392, 29918, 16908, 29892, 13, 462, 462, 3986, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 19888, 29918, 13239, 29889, 1202, 29918, 5105, 10070, 29918, 2083, 3034, 583, 29898, 5105, 29879, 29918, 392, 29918, 16908, 29892, 13, 462, 462, 3986, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 13, 1678, 5994, 3950, 29889, 7302, 29918, 5105, 10070, 29898, 5105, 29879, 29918, 392, 29918, 16908, 29897, 13, 13, 29871, 822, 903, 657, 29918, 5182, 29918, 786, 29881, 1008, 29898, 1311, 29892, 260, 585, 29922, 29896, 29889, 29900, 29892, 3785, 29922, 29896, 1125, 13, 1678, 9995, 5894, 9514, 263, 4964, 2767, 310, 278, 3646, 3564, 4128, 29889, 13, 13, 1678, 1152, 1269, 7688, 281, 29918, 29879, 297, 278, 2441, 3564, 29892, 322, 967, 6590, 13, 1678, 7688, 281, 29918, 29873, 297, 278, 3646, 3564, 29892, 263, 4964, 2767, 338, 29901, 13, 1678, 281, 29918, 29873, 353, 313, 29896, 29899, 260, 585, 29897, 921, 281, 29918, 29873, 718, 260, 585, 921, 16904, 13, 13, 1678, 826, 3174, 29901, 13, 418, 260, 585, 29901, 319, 5785, 17336, 297, 518, 29900, 29892, 29871, 29896, 1822, 13109, 421, 4722, 29922, 29896, 29889, 29900, 29952, 2794, 2898, 2767, 29889, 13, 418, 3785, 29901, 16696, 7292, 472, 607, 278, 3646, 3564, 338, 4784, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 319, 1246, 519, 393, 23233, 263, 4964, 2767, 310, 278, 3646, 3564, 4128, 29889, 13, 1678, 9995, 13, 1678, 411, 15886, 29889, 978, 29918, 6078, 877, 5504, 29918, 5182, 29374, 13, 13, 418, 822, 2767, 7295, 13, 4706, 9995, 6422, 3646, 3564, 1213, 15945, 13, 4706, 11164, 29918, 5504, 29918, 29896, 353, 3619, 29889, 2695, 29918, 20897, 29918, 5504, 29898, 13, 9651, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29889, 20897, 29892, 13, 9651, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29896, 29889, 20897, 29892, 13, 9651, 260, 585, 29892, 13, 9651, 260, 585, 29918, 5464, 29918, 14968, 519, 29922, 29896, 29889, 29900, 29897, 13, 13, 4706, 11164, 29918, 29906, 29918, 5504, 29918, 16908, 353, 3619, 29889, 7176, 786, 287, 29918, 11618, 29918, 20897, 29898, 13, 9651, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29892, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29897, 13, 13, 4706, 3646, 29918, 9695, 293, 29918, 29906, 29918, 5504, 29918, 16908, 353, 3619, 29889, 7176, 786, 287, 29918, 11618, 29918, 20897, 29898, 13, 9651, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29892, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29896, 29897, 13, 13, 4706, 11164, 29918, 5504, 29918, 29906, 353, 3619, 29889, 2695, 29918, 20897, 29918, 5504, 29898, 13, 9651, 11164, 29918, 29906, 29918, 5504, 29918, 16908, 29892, 13, 9651, 3646, 29918, 9695, 293, 29918, 29906, 29918, 5504, 29918, 16908, 29892, 13, 9651, 260, 585, 29892, 13, 9651, 260, 585, 29918, 5464, 29918, 14968, 519, 29922, 29896, 29889, 29900, 29897, 13, 13, 4706, 736, 15886, 29889, 2972, 29898, 9695, 293, 29918, 5504, 29918, 29896, 29892, 11164, 29918, 5504, 29918, 29906, 29897, 13, 13, 418, 736, 3619, 29889, 29853, 1711, 29898, 5504, 29892, 3785, 29892, 525, 5504, 29918, 5182, 29879, 1495, 13, 13, 29871, 822, 903, 7387, 29918, 392, 29918, 1188, 29918, 771, 5824, 29898, 1311, 29892, 931, 29918, 24530, 29892, 6694, 29922, 8824, 1125, 13, 1678, 9995, 2577, 8820, 322, 6590, 1480, 2070, 11614, 515, 8898, 1213, 15945, 13, 1678, 396, 3617, 10650, 3158, 4978, 515, 8898, 29892, 322, 11905, 4768, 622, 943, 1051, 29889, 13, 1678, 9853, 29918, 2311, 353, 17763, 29918, 13239, 29889, 657, 29918, 5561, 29918, 12181, 29898, 2230, 29918, 24530, 29892, 1583, 3032, 2230, 29918, 10568, 29918, 6550, 9601, 29900, 29962, 13, 1678, 8898, 29918, 3859, 353, 1583, 3032, 14968, 29918, 22197, 29889, 657, 29918, 11228, 29918, 3859, 29898, 16175, 29918, 2311, 29897, 13, 1678, 565, 6694, 29901, 13, 418, 3158, 29918, 27691, 353, 1583, 3032, 14968, 29918, 22197, 29889, 27691, 29898, 13, 3986, 931, 29918, 24530, 29892, 8898, 29918, 3859, 29922, 22197, 29918, 3859, 467, 2467, 13, 1678, 1683, 29901, 13, 418, 3158, 29918, 27691, 353, 1583, 3032, 22197, 29889, 27691, 29898, 13, 3986, 931, 29918, 24530, 29892, 8898, 29918, 3859, 29922, 22197, 29918, 3859, 467, 2467, 13, 13, 1678, 396, 21029, 8820, 322, 1480, 29918, 3334, 515, 27615, 4978, 29889, 13, 1678, 8820, 353, 15886, 29889, 17510, 29889, 1958, 29918, 23905, 29898, 2892, 270, 29901, 270, 29889, 11249, 3285, 3158, 29918, 27691, 29897, 13, 1678, 1480, 29918, 1631, 353, 3619, 29889, 1188, 29918, 22795, 3097, 29898, 2467, 29918, 27691, 29892, 8820, 29892, 13, 462, 462, 1678, 1583, 29889, 2467, 29918, 6550, 29897, 13, 13, 1678, 736, 8820, 29892, 1480, 29918, 1631, 13, 13, 29871, 822, 11164, 29918, 6758, 29898, 1311, 29892, 13, 462, 29871, 931, 29918, 24530, 29901, 18696, 29889, 2481, 14448, 29892, 13, 462, 29871, 8820, 29901, 4072, 29889, 29911, 6073, 29892, 13, 462, 29871, 2446, 29918, 2230, 29918, 24530, 29901, 18696, 29889, 2481, 14448, 29892, 13, 462, 29871, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29901, 4072, 29889, 29931, 2209, 29137, 29892, 13, 462, 29871, 330, 2735, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 462, 29871, 20751, 29918, 7052, 29918, 19790, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 462, 29871, 18177, 29901, 28379, 29961, 8768, 29889, 29911, 6073, 29962, 353, 6213, 29892, 13, 462, 29871, 6694, 29901, 6120, 353, 7700, 29897, 1599, 4072, 29889, 29911, 6073, 29901, 13, 1678, 9995, 20606, 267, 278, 11164, 6410, 363, 317, 2477, 6694, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 931, 29918, 24530, 29901, 319, 9853, 310, 5335, 4196, 567, 29889, 13, 418, 8820, 29901, 319, 9853, 310, 8820, 29889, 13, 418, 2446, 29918, 2230, 29918, 24530, 29901, 319, 9853, 310, 2446, 5335, 4196, 567, 29889, 13, 418, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29901, 319, 740, 29898, 1594, 29918, 5182, 29879, 29892, 27303, 29897, 304, 10272, 13, 4706, 1543, 3538, 313, 546, 29899, 16175, 29899, 8269, 29897, 6410, 29889, 13, 418, 330, 2735, 29901, 3295, 2798, 363, 5434, 337, 2935, 29889, 13, 418, 20751, 29918, 7052, 29918, 19790, 29901, 9683, 666, 506, 1230, 7329, 304, 6287, 337, 2935, 29889, 13, 418, 18177, 29901, 28379, 17336, 470, 1543, 3538, 313, 546, 29899, 16175, 29899, 8269, 29897, 13500, 13, 4706, 18177, 29889, 13, 418, 6694, 29901, 26460, 445, 6410, 338, 1641, 1304, 363, 6694, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 11164, 29918, 6758, 29901, 319, 17336, 11164, 6410, 29889, 13, 1678, 9995, 13, 1678, 411, 15886, 29889, 978, 29918, 6078, 877, 9695, 293, 29918, 6758, 29374, 13, 418, 17763, 29918, 13239, 29889, 9294, 29918, 17642, 29918, 23905, 29898, 7387, 29892, 1583, 29889, 2467, 29918, 6550, 29897, 13, 418, 17763, 29918, 13239, 29889, 9294, 29918, 17642, 29918, 23905, 29898, 2230, 29918, 24530, 29892, 1583, 29889, 2230, 29918, 10568, 29918, 6550, 29897, 13, 418, 17763, 29918, 13239, 29889, 9294, 29918, 17642, 29918, 23905, 29898, 4622, 29918, 2230, 29918, 24530, 29892, 1583, 29889, 2230, 29918, 10568, 29918, 6550, 29897, 13, 13, 418, 396, 1334, 437, 451, 2767, 11339, 470, 3646, 14379, 297, 11164, 6410, 29889, 13, 418, 2446, 29918, 7387, 29892, 2446, 29918, 1188, 29918, 3334, 353, 1583, 3032, 7387, 29918, 392, 29918, 1188, 29918, 771, 5824, 29898, 4622, 29918, 2230, 29918, 24530, 29892, 13, 462, 462, 462, 1669, 6694, 29922, 8824, 29897, 13, 418, 3646, 29918, 2080, 353, 313, 4622, 29918, 2230, 29918, 24530, 29889, 26739, 362, 29892, 2446, 29918, 7387, 29897, 13, 418, 3646, 29918, 29939, 29918, 5975, 29896, 29892, 443, 3880, 29918, 11618, 29918, 3859, 29896, 353, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29896, 29898, 13, 3986, 3646, 29918, 2080, 29892, 4331, 29918, 1853, 29922, 4622, 29918, 2230, 29918, 24530, 29889, 10568, 29918, 1853, 29892, 6694, 29922, 8824, 29897, 13, 418, 3646, 29918, 29939, 29918, 5975, 29906, 29892, 443, 3880, 29918, 11618, 29918, 3859, 29906, 353, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29898, 13, 3986, 3646, 29918, 2080, 29892, 4331, 29918, 1853, 29922, 4622, 29918, 2230, 29918, 24530, 29889, 10568, 29918, 1853, 29892, 6694, 29922, 8824, 29897, 13, 418, 3646, 29918, 29939, 29918, 5975, 353, 313, 13, 3986, 15886, 29889, 1195, 12539, 29898, 5182, 29918, 29939, 29918, 5975, 29896, 29892, 3646, 29918, 29939, 29918, 5975, 29906, 29897, 448, 13, 3986, 15886, 29889, 4548, 29898, 1311, 3032, 1188, 29918, 2312, 29897, 334, 2446, 29918, 1188, 29918, 3334, 29897, 13, 13, 418, 22599, 29918, 5182, 29879, 353, 15886, 29889, 9847, 29918, 24970, 29898, 13, 3986, 20751, 29918, 7052, 29918, 19790, 334, 2446, 29918, 2230, 29918, 24530, 29889, 276, 1328, 718, 13, 3986, 330, 2735, 334, 2446, 29918, 2230, 29918, 24530, 29889, 2218, 2798, 334, 3646, 29918, 29939, 29918, 5975, 29897, 13, 13, 418, 4450, 29918, 2080, 353, 313, 2230, 29918, 24530, 29889, 26739, 362, 29892, 8820, 29897, 13, 418, 4450, 29918, 1594, 29918, 5182, 29879, 29896, 29892, 903, 353, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29898, 13, 3986, 4450, 29918, 2080, 29892, 4331, 29918, 1853, 29922, 2230, 29918, 24530, 29889, 10568, 29918, 1853, 29892, 6694, 29922, 26495, 29897, 13, 418, 4450, 29918, 1594, 29918, 5182, 29879, 29906, 29892, 903, 353, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29898, 13, 3986, 4450, 29918, 2080, 29892, 4331, 29918, 1853, 29922, 2230, 29918, 24530, 29889, 10568, 29918, 1853, 29892, 6694, 29922, 26495, 29897, 13, 418, 11164, 29918, 6758, 29896, 353, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29898, 1594, 29918, 5182, 29879, 29892, 4450, 29918, 1594, 29918, 5182, 29879, 29896, 29897, 13, 418, 11164, 29918, 6758, 29906, 353, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29898, 1594, 29918, 5182, 29879, 29892, 4450, 29918, 1594, 29918, 5182, 29879, 29906, 29897, 13, 418, 11164, 29918, 6758, 353, 11164, 29918, 6758, 29896, 718, 11164, 29918, 6758, 29906, 13, 13, 418, 565, 11164, 29918, 6758, 29889, 12181, 29889, 10003, 1405, 29871, 29896, 29901, 13, 4706, 396, 6991, 975, 278, 931, 9927, 29889, 13, 4706, 11164, 29918, 6758, 353, 15886, 29889, 17469, 29918, 2083, 29898, 13, 9651, 11164, 29918, 6758, 29892, 9685, 29922, 3881, 29898, 29896, 29892, 11164, 29918, 6758, 29889, 12181, 29889, 10003, 876, 13, 13, 418, 946, 29887, 29918, 6758, 353, 3619, 29889, 26193, 403, 29918, 6758, 267, 29898, 13, 3986, 639, 29918, 4773, 29918, 6758, 29922, 9695, 293, 29918, 6758, 29892, 13, 3986, 4559, 29918, 7915, 29922, 705, 5861, 29892, 13, 3986, 4943, 2133, 29918, 6758, 7607, 1311, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29889, 6758, 267, 718, 13, 462, 1669, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29889, 6758, 267, 876, 13, 418, 11164, 29918, 6758, 353, 946, 29887, 29918, 6758, 29889, 7827, 29918, 6758, 13, 13, 418, 1583, 3032, 9695, 293, 29918, 6758, 29918, 8382, 29918, 2083, 3034, 583, 29898, 1594, 29918, 5182, 29879, 29892, 4450, 29918, 1594, 29918, 5182, 29879, 29896, 29892, 13, 462, 462, 4706, 4450, 29918, 1594, 29918, 5182, 29879, 29906, 29897, 13, 13, 418, 736, 11164, 29918, 6758, 13, 13, 29871, 822, 11339, 29918, 6758, 29898, 1311, 29892, 13, 462, 931, 29918, 24530, 29901, 18696, 29889, 2481, 14448, 29892, 13, 462, 18177, 29901, 28379, 29961, 8768, 29889, 29911, 6073, 29962, 353, 6213, 29892, 13, 462, 6694, 29901, 28379, 29961, 11227, 29962, 353, 5852, 29897, 1599, 4072, 29889, 29911, 6073, 29901, 13, 1678, 9995, 20606, 267, 278, 11339, 29918, 6758, 363, 317, 2477, 6694, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 931, 29918, 24530, 29901, 319, 9853, 310, 5335, 4196, 567, 29889, 13, 418, 18177, 29901, 28379, 17336, 470, 1543, 3538, 313, 546, 29899, 16175, 29899, 8269, 29897, 13500, 13, 4706, 18177, 29889, 13, 418, 6694, 29901, 26460, 6694, 881, 367, 7436, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 11339, 29918, 6758, 29901, 319, 17336, 11339, 6410, 29889, 13, 1678, 9995, 13, 1678, 411, 15886, 29889, 978, 29918, 6078, 877, 7168, 29918, 6758, 29374, 13, 418, 17763, 29918, 13239, 29889, 9294, 29918, 17642, 29918, 23905, 29898, 2230, 29918, 24530, 29892, 1583, 29889, 2230, 29918, 10568, 29918, 6550, 29897, 13, 13, 418, 8820, 29892, 1480, 29918, 1631, 353, 1583, 3032, 7387, 29918, 392, 29918, 1188, 29918, 771, 5824, 29898, 2230, 29918, 24530, 29892, 13, 462, 462, 462, 1678, 6694, 29922, 26495, 29897, 13, 418, 3646, 29918, 2080, 353, 313, 2230, 29918, 24530, 29889, 26739, 362, 29892, 8820, 29897, 13, 418, 396, 1334, 437, 451, 2767, 11164, 2645, 11339, 6410, 29889, 13, 418, 3646, 29918, 29939, 29918, 5975, 29896, 29892, 903, 353, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29898, 13, 3986, 3646, 29918, 2080, 29892, 4331, 29918, 1853, 29922, 2230, 29918, 24530, 29889, 10568, 29918, 1853, 29892, 6694, 29922, 8824, 29897, 13, 418, 3646, 29918, 29939, 29918, 5975, 29906, 29892, 903, 353, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29898, 13, 3986, 3646, 29918, 2080, 29892, 4331, 29918, 1853, 29922, 2230, 29918, 24530, 29889, 10568, 29918, 1853, 29892, 6694, 29922, 8824, 29897, 13, 418, 3646, 29918, 29939, 29918, 5975, 353, 15886, 29889, 1195, 12539, 29898, 5182, 29918, 29939, 29918, 5975, 29896, 29892, 3646, 29918, 29939, 29918, 5975, 29906, 29897, 13, 418, 11339, 29918, 6758, 353, 15886, 29889, 4548, 29898, 1311, 3032, 1188, 29918, 2312, 29897, 334, 1480, 29918, 1631, 448, 3646, 29918, 29939, 29918, 5975, 13, 418, 565, 11339, 29918, 6758, 29889, 12181, 29889, 10003, 1405, 29871, 29896, 29901, 13, 4706, 396, 6991, 975, 278, 931, 9927, 29889, 13, 4706, 11339, 29918, 6758, 353, 15886, 29889, 17469, 29918, 2083, 29898, 13, 9651, 11339, 29918, 6758, 29892, 9685, 29922, 3881, 29898, 29896, 29892, 11339, 29918, 6758, 29889, 12181, 29889, 10003, 876, 13, 418, 1072, 29918, 6758, 353, 1583, 3032, 7168, 29918, 11618, 29889, 6758, 267, 565, 1583, 3032, 7168, 29918, 11618, 1683, 6213, 13, 418, 946, 29887, 29918, 6758, 353, 3619, 29889, 26193, 403, 29918, 6758, 267, 29898, 13, 3986, 639, 29918, 4773, 29918, 6758, 29922, 7168, 29918, 6758, 29892, 13, 3986, 4559, 29918, 7915, 29922, 705, 5861, 29892, 13, 3986, 4943, 2133, 29918, 6758, 29922, 1727, 29918, 6758, 29897, 13, 418, 11339, 29918, 6758, 353, 946, 29887, 29918, 6758, 29889, 7827, 29918, 6758, 13, 418, 1583, 3032, 7168, 29918, 6758, 29918, 8382, 29918, 2083, 3034, 583, 29898, 7168, 29918, 6758, 29892, 8820, 29892, 1480, 29918, 1631, 29892, 13, 462, 462, 539, 3646, 29918, 29939, 29918, 5975, 29892, 931, 29918, 24530, 29897, 13, 13, 418, 736, 11339, 29918, 6758, 13, 13, 29871, 822, 15595, 29918, 6758, 29898, 1311, 29892, 13, 462, 931, 29918, 24530, 29901, 18696, 29889, 2481, 14448, 29892, 13, 462, 18177, 29901, 28379, 29961, 8768, 29889, 29911, 6073, 29962, 353, 6213, 29892, 13, 462, 6694, 29901, 6120, 353, 7700, 29897, 1599, 4072, 29889, 29911, 6073, 29901, 13, 1678, 9995, 20606, 267, 278, 15595, 29918, 6758, 363, 17522, 29899, 29903, 2477, 6694, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 931, 29918, 24530, 29901, 319, 9853, 310, 5335, 4196, 567, 29889, 13, 418, 18177, 29901, 28379, 17336, 470, 1543, 3538, 313, 546, 29899, 16175, 29899, 8269, 29897, 13500, 13, 4706, 18177, 29889, 13, 418, 6694, 29901, 26460, 445, 6410, 338, 1641, 1304, 2645, 6694, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 15595, 29918, 6758, 29901, 319, 17336, 15595, 6410, 29889, 13, 1678, 9995, 13, 1678, 411, 15886, 29889, 978, 29918, 6078, 877, 2312, 29918, 6758, 29374, 13, 418, 17763, 29918, 13239, 29889, 9294, 29918, 17642, 29918, 23905, 29898, 2230, 29918, 24530, 29892, 1583, 29889, 2230, 29918, 10568, 29918, 6550, 29897, 13, 13, 418, 396, 1334, 437, 451, 2767, 11339, 2645, 15595, 6410, 29889, 13, 418, 443, 3880, 29918, 7387, 29892, 1480, 29918, 1631, 353, 1583, 3032, 7387, 29918, 392, 29918, 1188, 29918, 771, 5824, 29898, 13, 3986, 931, 29918, 24530, 29892, 6694, 29922, 8824, 29897, 13, 418, 24687, 29918, 12765, 353, 15886, 29889, 9847, 29918, 24970, 6278, 1188, 29918, 1631, 448, 1583, 3032, 5182, 29918, 296, 14441, 29897, 13, 418, 565, 1583, 3032, 1509, 29918, 1188, 29918, 2312, 29918, 262, 29918, 2312, 29918, 6758, 29901, 13, 4706, 15595, 29918, 6758, 353, 313, 1311, 3032, 1188, 29918, 2312, 334, 24687, 29918, 12765, 29897, 13, 418, 1683, 29901, 13, 4706, 15595, 29918, 6758, 353, 313, 13264, 29889, 4548, 29898, 1311, 3032, 1188, 29918, 2312, 29897, 334, 24687, 29918, 12765, 29897, 13, 13, 418, 565, 15595, 29918, 6758, 29889, 12181, 29889, 10003, 1405, 29871, 29896, 29901, 13, 4706, 396, 6991, 975, 278, 931, 9927, 29889, 13, 4706, 15595, 29918, 6758, 353, 15886, 29889, 17469, 29918, 2083, 29898, 13, 9651, 15595, 29918, 6758, 29892, 9685, 29922, 3881, 29898, 29896, 29892, 15595, 29918, 6758, 29889, 12181, 29889, 10003, 876, 13, 13, 418, 946, 29887, 29918, 6758, 353, 3619, 29889, 26193, 403, 29918, 6758, 267, 29898, 13, 3986, 639, 29918, 4773, 29918, 6758, 29922, 2312, 29918, 6758, 29892, 4559, 29918, 7915, 29922, 705, 5861, 29897, 13, 418, 15595, 29918, 6758, 353, 946, 29887, 29918, 6758, 29889, 7827, 29918, 6758, 13, 13, 418, 1583, 3032, 2312, 29918, 6758, 29918, 8382, 29918, 2083, 3034, 583, 29898, 2312, 29918, 6758, 29892, 24687, 29918, 12765, 29897, 13, 13, 418, 736, 15595, 29918, 6758, 13, 13, 29871, 822, 903, 9695, 293, 29918, 6758, 29918, 8382, 29918, 2083, 3034, 583, 29898, 1311, 29892, 22599, 29918, 5182, 29879, 29892, 4450, 29918, 1594, 29918, 5182, 29879, 29896, 29892, 13, 462, 462, 259, 4450, 29918, 1594, 29918, 5182, 29879, 29906, 1125, 13, 1678, 565, 1583, 3032, 8382, 29918, 2083, 3034, 583, 29901, 13, 418, 22599, 29918, 12523, 29896, 353, 22599, 29918, 5182, 29879, 448, 4450, 29918, 1594, 29918, 5182, 29879, 29896, 13, 418, 22599, 29918, 12523, 29906, 353, 22599, 29918, 5182, 29879, 448, 4450, 29918, 1594, 29918, 5182, 29879, 29906, 13, 418, 22599, 29918, 12523, 353, 15886, 29889, 17685, 4197, 1594, 29918, 12523, 29896, 29892, 22599, 29918, 12523, 29906, 1402, 9685, 29922, 29900, 29897, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 1594, 29918, 12523, 742, 22599, 29918, 12523, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 1594, 29918, 5182, 29879, 742, 22599, 29918, 5182, 29879, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 11965, 29918, 1594, 29918, 5182, 29879, 29896, 742, 4450, 29918, 1594, 29918, 5182, 29879, 29896, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 11965, 29918, 1594, 29918, 5182, 29879, 29906, 742, 4450, 29918, 1594, 29918, 5182, 29879, 29906, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 13, 29871, 822, 903, 7168, 29918, 6758, 29918, 8382, 29918, 2083, 3034, 583, 29898, 1311, 29892, 11339, 29918, 6758, 29892, 8820, 29892, 1480, 29918, 1631, 29892, 13, 462, 462, 29871, 3646, 29918, 29939, 29918, 5975, 29892, 931, 29918, 24530, 1125, 13, 1678, 565, 1583, 3032, 8382, 29918, 2083, 3034, 583, 29901, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 7168, 29918, 6758, 742, 11339, 29918, 6758, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 1018, 29901, 13, 4706, 363, 1024, 29892, 3158, 297, 17763, 29918, 13239, 29889, 1579, 8606, 29918, 2541, 29918, 2212, 1312, 29918, 24772, 29898, 7387, 1125, 13, 3986, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 29898, 978, 29892, 3158, 29892, 13, 462, 462, 965, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 5174, 7865, 2392, 29901, 13, 4706, 1209, 29871, 396, 13211, 2750, 7463, 317, 2477, 29161, 393, 437, 451, 4153, 13, 4706, 396, 5706, 8820, 29889, 13, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 1188, 29918, 1631, 742, 1480, 29918, 1631, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 296, 14441, 29918, 485, 29887, 742, 13, 3986, 848, 10457, 13264, 29889, 17469, 29918, 12676, 29898, 2080, 29918, 20158, 29922, 1188, 29918, 1631, 511, 13, 3986, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 5182, 29918, 29939, 29918, 5975, 742, 3646, 29918, 29939, 29918, 5975, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 9853, 29918, 2311, 353, 17763, 29918, 13239, 29889, 657, 29918, 5561, 29918, 12181, 29898, 2230, 29918, 24530, 29892, 13, 462, 462, 795, 1583, 3032, 2230, 29918, 10568, 29918, 6550, 9601, 29900, 29962, 13, 418, 8898, 29918, 3859, 353, 1583, 3032, 14968, 29918, 22197, 29889, 657, 29918, 11228, 29918, 3859, 29898, 16175, 29918, 2311, 29897, 13, 418, 3158, 29918, 27691, 353, 1583, 3032, 14968, 29918, 22197, 29889, 27691, 29898, 13, 3986, 931, 29918, 24530, 29892, 8898, 29918, 3859, 467, 2467, 13, 418, 565, 338, 8758, 29898, 2467, 29918, 27691, 29892, 15886, 29886, 29889, 27691, 29879, 29889, 19077, 1125, 13, 4706, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 627, 29918, 12676, 742, 3158, 29918, 27691, 29889, 2029, 29892, 13, 462, 462, 308, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 4706, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 627, 29918, 4172, 3359, 742, 13, 462, 462, 308, 3158, 29918, 27691, 29889, 7052, 29892, 13, 462, 462, 308, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 25342, 338, 8758, 29898, 2467, 29918, 27691, 29892, 15886, 29886, 29889, 27691, 29879, 29889, 29907, 20440, 936, 1125, 13, 4706, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 627, 29918, 8513, 742, 3158, 29918, 27691, 29889, 8513, 3285, 13, 462, 462, 308, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 1018, 29901, 13, 4706, 363, 1024, 29892, 3158, 29918, 5721, 297, 17763, 29918, 13239, 29889, 1579, 8606, 29918, 2541, 29918, 2212, 1312, 29918, 24772, 29898, 13, 9651, 3158, 29918, 27691, 1125, 13, 3986, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 296, 14441, 29918, 29915, 718, 1024, 29892, 13, 462, 462, 965, 3158, 29918, 5721, 29889, 296, 14441, 3285, 13, 462, 462, 965, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 5174, 2216, 1888, 2037, 287, 2392, 29901, 13, 4706, 1209, 29871, 396, 3834, 18822, 437, 451, 505, 385, 16114, 293, 24687, 29889, 13, 13, 29871, 822, 903, 2312, 29918, 6758, 29918, 8382, 29918, 2083, 3034, 583, 29898, 1311, 29892, 15595, 29918, 6758, 29892, 24687, 29918, 12765, 1125, 13, 1678, 565, 1583, 3032, 8382, 29918, 2083, 3034, 583, 29901, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 2312, 29918, 6758, 742, 15595, 29918, 6758, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 296, 14441, 29918, 12765, 742, 24687, 29918, 12765, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 1188, 29918, 2312, 742, 848, 29922, 1311, 3032, 1188, 29918, 2312, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 2 ]
tests/test_allof.py	tgallant/sphinx-json-schema	0	90653	from unittest import TestCase from sphinx_json_schema_formatter.mergers import merge class AllOfTestCase(TestCase): def test_merge_properties(self): base = { "required": ["A"], "properties": { "A": {"type": "string", "enum": ["x", "y"]}, "B": {"type": "string"}, }, } to_merge = { "required": ["C"], "properties": { "A": {"type": "string", "enum": ["x"]}, "C": {"type": "string"}, }, } merge(base, to_merge, "allOf") self.assertDictEqual( base, { "required": ["A", "C"], "properties": { "A": {"type": "string", "enum": ["x"]}, "B": {"type": "string"}, "C": {"type": "string"}, }, }, )	[ 1, 515, 443, 27958, 1053, 4321, 8259, 13, 13, 3166, 269, 561, 14668, 29918, 3126, 29918, 11010, 29918, 689, 2620, 29889, 1050, 5743, 1053, 10366, 13, 13, 13, 1990, 2178, 2776, 3057, 8259, 29898, 3057, 8259, 1125, 13, 1678, 822, 1243, 29918, 14634, 29918, 11330, 29898, 1311, 1125, 13, 4706, 2967, 353, 426, 13, 9651, 376, 12403, 1115, 6796, 29909, 12436, 13, 9651, 376, 11330, 1115, 426, 13, 18884, 376, 29909, 1115, 8853, 1853, 1115, 376, 1807, 613, 376, 18605, 1115, 6796, 29916, 613, 376, 29891, 3108, 1118, 13, 18884, 376, 29933, 1115, 8853, 1853, 1115, 376, 1807, 10758, 13, 9651, 2981, 13, 4706, 500, 13, 13, 4706, 304, 29918, 14634, 353, 426, 13, 9651, 376, 12403, 1115, 6796, 29907, 12436, 13, 9651, 376, 11330, 1115, 426, 13, 18884, 376, 29909, 1115, 8853, 1853, 1115, 376, 1807, 613, 376, 18605, 1115, 6796, 29916, 3108, 1118, 13, 18884, 376, 29907, 1115, 8853, 1853, 1115, 376, 1807, 10758, 13, 9651, 2981, 13, 4706, 500, 13, 13, 4706, 10366, 29898, 3188, 29892, 304, 29918, 14634, 29892, 376, 497, 2776, 1159, 13, 13, 4706, 1583, 29889, 9294, 21533, 9843, 29898, 13, 9651, 2967, 29892, 13, 9651, 426, 13, 18884, 376, 12403, 1115, 6796, 29909, 613, 376, 29907, 12436, 13, 18884, 376, 11330, 1115, 426, 13, 462, 1678, 376, 29909, 1115, 8853, 1853, 1115, 376, 1807, 613, 376, 18605, 1115, 6796, 29916, 3108, 1118, 13, 462, 1678, 376, 29933, 1115, 8853, 1853, 1115, 376, 1807, 10758, 13, 462, 1678, 376, 29907, 1115, 8853, 1853, 1115, 376, 1807, 10758, 13, 18884, 2981, 13, 9651, 2981, 13, 4706, 1723, 13, 2 ]
projects/models.py	fantasticfour7/crowdfunding	0	116579	<filename>projects/models.py from django.db import models #domain choices Domain_Choices = [ ('1', ('Agriculture')), ('2', ('Business')), ('3', ('Computer')), ('4', ('Civil')), ('5', ('Performing Arts')), ('6', ('Electrical')), ('7', ('Biotechnology')), ('8', ('Biomedical')), ('9', ('Electronics')), ('10', ('Mechanical')), ('11', ('Chemical')), ('12', ('Cinematography')), ('13', ('Educational')), ] # class for Student projects class UserProject(models.Model): owner = models.ForeignKey('accounts.CustomUser',related_name='project', on_delete = models.CASCADE) name = models.CharField(max_length = 100) funds_Required = models.PositiveIntegerField() domain = models.CharField(choices = Domain_Choices, default = False, blank = False, max_length = 10 ) Project_Description = models.TextField() image1 = models.FileField() image2 = models.FileField() image3 = models.FileField() image4 = models.FileField() contributors = models.CharField(max_length = 300) ongoing = models.BooleanField(default = False) def __str__(self): return self.name	[ 1, 529, 9507, 29958, 16418, 29914, 9794, 29889, 2272, 13, 3166, 9557, 29889, 2585, 1053, 4733, 13, 13, 29937, 7247, 19995, 13, 15951, 29918, 15954, 1575, 353, 518, 13, 1678, 6702, 29896, 742, 6702, 29909, 629, 3953, 545, 1495, 511, 13, 1678, 6702, 29906, 742, 6702, 16890, 3335, 1495, 511, 13, 1678, 6702, 29941, 742, 6702, 20606, 261, 1495, 511, 13, 1678, 6702, 29946, 742, 6702, 29907, 5341, 1495, 511, 13, 1678, 6702, 29945, 742, 6702, 5894, 689, 292, 11401, 1495, 511, 13, 1678, 6702, 29953, 742, 6702, 29923, 781, 16888, 1495, 511, 13, 1678, 6702, 29955, 742, 6702, 20517, 866, 3049, 3002, 1495, 511, 13, 1678, 6702, 29947, 742, 6702, 29933, 14910, 287, 936, 1495, 511, 13, 1678, 6702, 29929, 742, 6702, 29923, 781, 1617, 1199, 1495, 511, 13, 1678, 6702, 29896, 29900, 742, 6702, 6816, 5083, 936, 1495, 511, 13, 1678, 6702, 29896, 29896, 742, 6702, 1451, 331, 936, 1495, 511, 13, 1678, 6702, 29896, 29906, 742, 6702, 29907, 262, 4579, 5275, 1495, 511, 13, 1678, 6702, 29896, 29941, 742, 6702, 29923, 700, 29883, 1288, 1495, 511, 13, 29962, 13, 13, 29937, 770, 363, 15740, 9279, 13, 1990, 4911, 7653, 29898, 9794, 29889, 3195, 1125, 13, 1678, 12271, 353, 4733, 29889, 27755, 2558, 877, 10149, 29879, 29889, 7281, 2659, 742, 12817, 29918, 978, 2433, 4836, 742, 373, 29918, 8143, 353, 4733, 29889, 29907, 3289, 5454, 2287, 29897, 13, 1678, 1024, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 353, 29871, 29896, 29900, 29900, 29897, 13, 1678, 29199, 29918, 19347, 353, 4733, 29889, 9135, 3321, 7798, 3073, 580, 13, 1678, 5354, 353, 4733, 29889, 27890, 29898, 1859, 1575, 353, 28460, 29918, 15954, 1575, 29892, 2322, 353, 7700, 29892, 9654, 353, 7700, 29892, 4236, 29918, 2848, 353, 29871, 29896, 29900, 1723, 13, 1678, 8010, 29918, 9868, 29871, 353, 4733, 29889, 15778, 580, 13, 1678, 1967, 29896, 353, 4733, 29889, 2283, 3073, 580, 13, 1678, 1967, 29906, 353, 4733, 29889, 2283, 3073, 580, 13, 1678, 1967, 29941, 353, 4733, 29889, 2283, 3073, 580, 13, 1678, 1967, 29946, 353, 4733, 29889, 2283, 3073, 580, 13, 1678, 17737, 29560, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 353, 29871, 29941, 29900, 29900, 29897, 13, 1678, 373, 17696, 353, 4733, 29889, 18146, 3073, 29898, 4381, 353, 7700, 29897, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 1583, 29889, 978, 2 ]
Medium/229.py	Hellofafar/Leetcode	6	111139	# ------------------------------ # 229. Majority Element II # # Description: # Given an integer array of size n, find all elements that appear more than ⌊ n/3 ⌋ times. # Note: The algorithm should run in linear time and in O(1) space. # Example 1: # Input: [3,2,3] # Output: [3] # # Example 2: # Input: [1,1,1,3,3,2,2,2] # Output: [1,2] # # Version: 1.0 # 09/26/18 by Jianfa # ------------------------------ class Solution(object): def majorityElement(self, nums): """ :type nums: List[int] :rtype: List[int] since the requirement is finding the majority for more than ceiling of [n/3], the answer would be less than or equal to two numbers. """ if not nums: return [] count1, count2, candidate1, candidate2 = 0, 0, 0, 1 for n in nums: if n == candidate1: count1 += 1 elif n == candidate2: count2 += 1 elif count1 == 0: candidate1, count1 = n, 1 elif count2 == 0: candidate2, count2 = n, 1 else: count1 -= 1 count2 -= 1 res = [] for i in (candidate1, candidate2): if nums.count(i) > len(nums) / 3: res.append(i) return res # Used for testing if __name__ == "__main__": test = Solution() # ------------------------------ # Summary: # Get idea from https://leetcode.com/problems/majority-element-ii/discuss/63520/Boyer-Moore-Majority-Vote-algorithm-and-my-elaboration # Boyer-Moore Majority Vote algorithm: http://goo.gl/64Nams	[ 1, 396, 448, 2683, 9072, 29899, 13, 29937, 29871, 29906, 29906, 29929, 29889, 11019, 537, 10619, 1944, 13, 29937, 29871, 13, 29937, 12953, 29901, 13, 29937, 11221, 385, 6043, 1409, 310, 2159, 302, 29892, 1284, 599, 3161, 393, 2615, 901, 1135, 29871, 229, 143, 141, 302, 29914, 29941, 29871, 229, 143, 142, 3064, 29889, 13, 29937, 3940, 29901, 450, 5687, 881, 1065, 297, 5608, 931, 322, 297, 438, 29898, 29896, 29897, 2913, 29889, 13, 29937, 8741, 29871, 29896, 29901, 13, 29937, 10567, 29901, 518, 29941, 29892, 29906, 29892, 29941, 29962, 13, 29937, 10604, 29901, 518, 29941, 29962, 13, 29937, 29871, 13, 29937, 8741, 29871, 29906, 29901, 13, 29937, 10567, 29901, 518, 29896, 29892, 29896, 29892, 29896, 29892, 29941, 29892, 29941, 29892, 29906, 29892, 29906, 29892, 29906, 29962, 13, 29937, 10604, 29901, 518, 29896, 29892, 29906, 29962, 13, 29937, 29871, 13, 29937, 10079, 29901, 29871, 29896, 29889, 29900, 13, 29937, 29871, 29900, 29929, 29914, 29906, 29953, 29914, 29896, 29947, 491, 435, 713, 5444, 13, 29937, 448, 2683, 9072, 29899, 13, 13, 1990, 24380, 29898, 3318, 1125, 13, 1678, 822, 13638, 2642, 29898, 1311, 29892, 954, 29879, 1125, 13, 4706, 9995, 13, 4706, 584, 1853, 954, 29879, 29901, 2391, 29961, 524, 29962, 13, 4706, 584, 29878, 1853, 29901, 2391, 29961, 524, 29962, 13, 308, 13, 4706, 1951, 278, 11809, 338, 9138, 278, 13638, 363, 901, 1135, 2257, 6504, 310, 518, 29876, 29914, 29941, 1402, 29871, 13, 4706, 278, 1234, 723, 367, 3109, 1135, 470, 5186, 304, 1023, 3694, 29889, 13, 4706, 9995, 13, 4706, 565, 451, 954, 29879, 29901, 13, 9651, 736, 5159, 13, 308, 13, 4706, 2302, 29896, 29892, 2302, 29906, 29892, 14020, 29896, 29892, 14020, 29906, 353, 29871, 29900, 29892, 29871, 29900, 29892, 29871, 29900, 29892, 29871, 29896, 13, 4706, 363, 302, 297, 954, 29879, 29901, 13, 9651, 565, 302, 1275, 14020, 29896, 29901, 13, 18884, 2302, 29896, 4619, 29871, 29896, 13, 9651, 25342, 302, 1275, 14020, 29906, 29901, 13, 18884, 2302, 29906, 4619, 29871, 29896, 13, 9651, 25342, 2302, 29896, 1275, 29871, 29900, 29901, 13, 18884, 14020, 29896, 29892, 2302, 29896, 353, 302, 29892, 29871, 29896, 13, 9651, 25342, 2302, 29906, 1275, 29871, 29900, 29901, 13, 18884, 14020, 29906, 29892, 2302, 29906, 353, 302, 29892, 29871, 29896, 13, 9651, 1683, 29901, 13, 18884, 2302, 29896, 22361, 29871, 29896, 13, 18884, 2302, 29906, 22361, 29871, 29896, 13, 308, 13, 4706, 620, 353, 5159, 13, 4706, 363, 474, 297, 313, 29883, 5380, 403, 29896, 29892, 14020, 29906, 1125, 13, 9651, 565, 954, 29879, 29889, 2798, 29898, 29875, 29897, 1405, 7431, 29898, 1949, 29879, 29897, 847, 29871, 29941, 29901, 13, 18884, 620, 29889, 4397, 29898, 29875, 29897, 13, 308, 13, 4706, 736, 620, 13, 308, 13, 13, 29937, 501, 8485, 363, 6724, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 1678, 1243, 353, 24380, 580, 13, 13, 29937, 448, 2683, 9072, 29899, 13, 29937, 6991, 5219, 29901, 13, 29937, 3617, 2969, 515, 2045, 597, 280, 300, 401, 29889, 510, 29914, 17199, 29879, 29914, 21355, 537, 29899, 5029, 29899, 2236, 29914, 2218, 13571, 29914, 29953, 29941, 29945, 29906, 29900, 29914, 8431, 7598, 29899, 22638, 487, 29899, 29924, 1175, 272, 537, 29899, 29963, 866, 29899, 20567, 29899, 392, 29899, 1357, 29899, 295, 3717, 362, 13, 29937, 1952, 7598, 29899, 22638, 487, 11019, 537, 478, 866, 5687, 29901, 1732, 597, 1484, 29877, 29889, 3820, 29914, 29953, 29946, 29940, 2232, 2 ]
python/app.py	ncolesummers/microservices-calculator	0	28510	<filename>python/app.py<gh_stars>0 import flask from flask import request, jsonify from flask_cors import CORS import math from wasmer import engine, Store, Module, Instance app = flask.Flask(__name__) CORS(app) @app.route('/add', methods=['POST']) def add(): store = Store() # Let's compile the module to be able to execute it! module = Module(store, """ (module (type (func (param f32 f32) (result f32))) (func (export "sum") (type 0) (param f32) (param f32) (result f32) local.get 0 local.get 1 f32.add)) """) # Now the module is compiled, we can instantiate it. instance = Instance(module) content = request.json [operand_one, operand_two] = [float(content['operandOne']), float(content['operandTwo'])] print(f"Calculating {operand_one} + {operand_two}", flush=True) out = jsonify({"result": instance.exports.sum(operand_one, operand_two)}) return out app.run(host="0.0.0.0")	[ 1, 529, 9507, 29958, 4691, 29914, 932, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 29784, 13, 3166, 29784, 1053, 2009, 29892, 4390, 1598, 13, 3166, 29784, 29918, 29883, 943, 1053, 315, 24125, 13, 5215, 5844, 13, 13, 3166, 471, 1050, 1053, 6012, 29892, 14491, 29892, 15591, 29892, 2799, 749, 13, 13, 932, 353, 29784, 29889, 8754, 1278, 22168, 978, 1649, 29897, 13, 29907, 24125, 29898, 932, 29897, 13, 13, 13, 29992, 932, 29889, 13134, 11219, 1202, 742, 3519, 29922, 1839, 5438, 11287, 13, 1753, 788, 7295, 13, 29871, 3787, 353, 14491, 580, 13, 13, 29871, 396, 2803, 29915, 29879, 6633, 278, 3883, 304, 367, 2221, 304, 6222, 372, 29991, 13, 29871, 3883, 353, 15591, 29898, 8899, 29892, 9995, 13, 29871, 313, 5453, 13, 1678, 313, 1853, 313, 9891, 313, 3207, 285, 29941, 29906, 285, 29941, 29906, 29897, 313, 2914, 285, 29941, 29906, 4961, 13, 1678, 313, 9891, 313, 15843, 376, 2083, 1159, 313, 1853, 29871, 29900, 29897, 313, 3207, 285, 29941, 29906, 29897, 313, 3207, 285, 29941, 29906, 29897, 313, 2914, 285, 29941, 29906, 29897, 13, 418, 1887, 29889, 657, 29871, 29900, 13, 418, 1887, 29889, 657, 29871, 29896, 13, 418, 285, 29941, 29906, 29889, 1202, 876, 13, 29871, 5124, 1159, 13, 13, 29871, 396, 2567, 278, 3883, 338, 13126, 29892, 591, 508, 25112, 372, 29889, 13, 29871, 2777, 353, 2799, 749, 29898, 5453, 29897, 13, 13, 29871, 2793, 353, 2009, 29889, 3126, 13, 29871, 518, 3372, 392, 29918, 650, 29892, 1751, 392, 29918, 10184, 29962, 353, 518, 7411, 29898, 3051, 1839, 3372, 392, 6716, 2033, 511, 5785, 29898, 3051, 1839, 3372, 392, 13985, 2033, 4638, 13, 29871, 1596, 29898, 29888, 29908, 27065, 1218, 426, 3372, 392, 29918, 650, 29913, 718, 426, 3372, 392, 29918, 10184, 17671, 28371, 29922, 5574, 29897, 13, 29871, 714, 353, 4390, 1598, 3319, 29908, 2914, 1115, 2777, 29889, 26500, 29889, 2083, 29898, 3372, 392, 29918, 650, 29892, 1751, 392, 29918, 10184, 26972, 13, 259, 13, 29871, 736, 714, 13, 13, 932, 29889, 3389, 29898, 3069, 543, 29900, 29889, 29900, 29889, 29900, 29889, 29900, 1159, 13, 2 ]
game/serializers/question_with_answer_serializer.py	dimadk24/english-fight-api	0	47072	from rest_framework import serializers from game.serializers.question_serializer import QuestionSerializer class QuestionWithAnswerSerializer(QuestionSerializer): correct_answer = serializers.CharField()	[ 1, 515, 1791, 29918, 4468, 1053, 7797, 19427, 13, 13, 3166, 3748, 29889, 15550, 19427, 29889, 12470, 29918, 15550, 3950, 1053, 894, 17679, 13, 13, 13, 1990, 894, 3047, 22550, 17679, 29898, 16492, 17679, 1125, 13, 1678, 1959, 29918, 12011, 353, 7797, 19427, 29889, 27890, 580, 13, 2 ]
simtest.py	agilethought/RasbPiAgileBot	1	60156	import time from breezycreate2 import Robot #robot = create.Create('/dev/ttyUSB0') #robot = Robot('/dev/ttyUSB0', "57600") robot = Robot('sim') def write_sensors(): #robot.robot.get_packet(19) #robot.robot.get_packet(20) print('distance: ', robot.robot.sensor_state['distance']) print('angle: ', robot.robot.sensor_state['angle']) #print('RIGHT_VELOCITY: ', robot.getSensor('RIGHT_VELOCITY')) #print('LEFT_VELOCITY: ', robot.getSensor('LEFT_VELOCITY')) write_sensors() robot.drive(100, 1500) time.sleep(1) write_sensors() time.sleep(1) write_sensors() time.sleep(1) write_sensors() robot.drive(-200, 500) time.sleep(1) write_sensors() #robot.shutdown()	[ 1, 1053, 931, 13, 3166, 289, 929, 1537, 3258, 29906, 1053, 6417, 327, 13, 13, 29937, 307, 7451, 353, 1653, 29889, 4391, 11219, 3359, 29914, 4349, 29965, 1744, 29900, 1495, 13, 29937, 307, 7451, 353, 6417, 327, 11219, 3359, 29914, 4349, 29965, 1744, 29900, 742, 376, 29945, 29955, 29953, 29900, 29900, 1159, 13, 307, 7451, 353, 6417, 327, 877, 3601, 1495, 13, 13, 1753, 2436, 29918, 23149, 943, 7295, 13, 268, 396, 307, 7451, 29889, 307, 7451, 29889, 657, 29918, 4058, 300, 29898, 29896, 29929, 29897, 13, 268, 396, 307, 7451, 29889, 307, 7451, 29889, 657, 29918, 4058, 300, 29898, 29906, 29900, 29897, 13, 268, 1596, 877, 19244, 29901, 13420, 19964, 29889, 307, 7451, 29889, 29879, 6073, 29918, 3859, 1839, 19244, 11287, 13, 268, 1596, 877, 2521, 29901, 13420, 19964, 29889, 307, 7451, 29889, 29879, 6073, 29918, 3859, 1839, 2521, 11287, 13, 1678, 396, 2158, 877, 22789, 3912, 29918, 12064, 16652, 11937, 29901, 13420, 19964, 29889, 657, 29903, 6073, 877, 22789, 3912, 29918, 12064, 16652, 11937, 8785, 13, 1678, 396, 2158, 877, 28024, 29918, 12064, 16652, 11937, 29901, 13420, 19964, 29889, 657, 29903, 6073, 877, 28024, 29918, 12064, 16652, 11937, 8785, 13, 29871, 13, 3539, 29918, 23149, 943, 580, 13, 307, 7451, 29889, 21594, 29898, 29896, 29900, 29900, 29892, 29871, 29896, 29945, 29900, 29900, 29897, 13, 2230, 29889, 17059, 29898, 29896, 29897, 13, 13, 3539, 29918, 23149, 943, 580, 13, 2230, 29889, 17059, 29898, 29896, 29897, 13, 13, 3539, 29918, 23149, 943, 580, 13, 2230, 29889, 17059, 29898, 29896, 29897, 13, 13, 3539, 29918, 23149, 943, 580, 13, 13, 307, 7451, 29889, 21594, 6278, 29906, 29900, 29900, 29892, 29871, 29945, 29900, 29900, 29897, 13, 2230, 29889, 17059, 29898, 29896, 29897, 13, 13, 3539, 29918, 23149, 943, 580, 13, 29937, 307, 7451, 29889, 845, 329, 3204, 580, 13, 2 ]
setup.py	nishantsinghdev/mshow	0	76570	from setuptools import setup setup(name='mshow', version = '7.0', __version__='7.0', description='Sample Message Showing Library', url='https://github.com/nishantsinghdev/mshow', author='<NAME>', author_email='<EMAIL>', license='MIT', packages=['mshow'], zip_safe=False)	[ 1, 515, 731, 21245, 8789, 1053, 6230, 13, 13, 14669, 29898, 978, 2433, 29885, 4294, 742, 13, 418, 1873, 353, 525, 29955, 29889, 29900, 742, 13, 418, 4770, 3259, 1649, 2433, 29955, 29889, 29900, 742, 13, 418, 6139, 2433, 17708, 7777, 7704, 292, 9538, 742, 13, 418, 3142, 2433, 991, 597, 3292, 29889, 510, 29914, 29876, 728, 1934, 292, 29882, 3359, 29914, 29885, 4294, 742, 13, 418, 4148, 2433, 29966, 5813, 29958, 742, 13, 418, 4148, 29918, 5269, 2433, 29966, 26862, 6227, 29958, 742, 13, 418, 19405, 2433, 26349, 742, 13, 418, 9741, 29922, 1839, 29885, 4294, 7464, 13, 418, 14319, 29918, 11177, 29922, 8824, 29897, 13, 2 ]
part-2/2-iterators/Example-consuming_iterators_manually.py	boconlonton/python-deep-dive	0	16261	""" Consuming Iterator manually """ from collections import namedtuple def cast(data_type, value): """Cast the value into a correct data type""" if data_type == 'DOUBLE': return float(value) elif data_type == 'STRING': return str(value) elif data_type == 'INT': return int(value) def cast_row(data_types1, data_row): return [ cast(data_type, value) for data_type, value in zip(data_types1, data_row) ] # cars = [] # with open('cars.csv') as file: # row_index = 0 # for line in file: # if row_index == 0: # # Header row # headers = line.strip('\n').split(';') # Car = namedtuple('Car', headers) # elif row_index == 1: # data_types = line.strip('\n').split(';') # # print('types', data_types) # else: # # data row # data = line.strip('\n').split(';') # data = cast_row(data_types, data) # car = Car(data) # cars.append(car) # # print(data) # row_index += 1 # with open('cars.csv') as file: # file_iter = iter(file) # headers = next(file_iter).strip('\n').split(';') # Car = namedtuple('Car', headers) # data_types = next(file_iter).strip('\n').split(';') # for line in file_iter: # data = line.strip('\n').split(';') # data = cast_row(data_types, data) # car = Car(data) # cars.append(car) with open('cars.csv') as file: file_iter = iter(file) headers = next(file_iter).strip('\n').split(';') Car = namedtuple('Car', headers) data_types = next(file_iter).strip('\n').split(';') cars = [Car(*cast_row( data_types, line.strip('\n').split(';') )) for line in file_iter] print(cars)	[ 1, 9995, 13, 13696, 9929, 20504, 1061, 7522, 13, 15945, 29908, 13, 3166, 16250, 1053, 4257, 23583, 13, 13, 13, 1753, 4320, 29898, 1272, 29918, 1853, 29892, 995, 1125, 13, 1678, 9995, 15738, 278, 995, 964, 263, 1959, 848, 1134, 15945, 29908, 13, 1678, 565, 848, 29918, 1853, 1275, 525, 3970, 7466, 1307, 2396, 13, 4706, 736, 5785, 29898, 1767, 29897, 13, 1678, 25342, 848, 29918, 1853, 1275, 525, 20785, 2396, 13, 4706, 736, 851, 29898, 1767, 29897, 13, 1678, 25342, 848, 29918, 1853, 1275, 525, 10192, 2396, 13, 4706, 736, 938, 29898, 1767, 29897, 13, 13, 13, 1753, 4320, 29918, 798, 29898, 1272, 29918, 8768, 29896, 29892, 848, 29918, 798, 1125, 13, 1678, 736, 518, 13, 4706, 4320, 29898, 1272, 29918, 1853, 29892, 995, 29897, 13, 4706, 363, 848, 29918, 1853, 29892, 995, 297, 14319, 29898, 1272, 29918, 8768, 29896, 29892, 848, 29918, 798, 29897, 13, 1678, 4514, 13, 13, 13, 29937, 18647, 353, 5159, 13, 13, 29937, 411, 1722, 877, 29883, 1503, 29889, 7638, 1495, 408, 934, 29901, 13, 29937, 268, 1948, 29918, 2248, 353, 29871, 29900, 13, 29937, 268, 363, 1196, 297, 934, 29901, 13, 29937, 308, 565, 1948, 29918, 2248, 1275, 29871, 29900, 29901, 13, 29937, 632, 396, 19345, 1948, 13, 29937, 632, 9066, 353, 1196, 29889, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 29937, 632, 1704, 353, 4257, 23583, 877, 8179, 742, 9066, 29897, 13, 29937, 308, 25342, 1948, 29918, 2248, 1275, 29871, 29896, 29901, 13, 29937, 632, 848, 29918, 8768, 353, 1196, 29889, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 29937, 632, 396, 1596, 877, 8768, 742, 848, 29918, 8768, 29897, 13, 29937, 308, 1683, 29901, 13, 29937, 632, 396, 848, 1948, 13, 29937, 632, 848, 353, 1196, 29889, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 29937, 632, 848, 353, 4320, 29918, 798, 29898, 1272, 29918, 8768, 29892, 848, 29897, 13, 29937, 632, 1559, 353, 1704, 10456, 1272, 29897, 13, 29937, 632, 18647, 29889, 4397, 29898, 4287, 29897, 13, 29937, 632, 396, 1596, 29898, 1272, 29897, 13, 29937, 308, 1948, 29918, 2248, 4619, 29871, 29896, 13, 13, 29937, 411, 1722, 877, 29883, 1503, 29889, 7638, 1495, 408, 934, 29901, 13, 29937, 268, 934, 29918, 1524, 353, 4256, 29898, 1445, 29897, 13, 29937, 268, 9066, 353, 2446, 29898, 1445, 29918, 1524, 467, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 29937, 268, 1704, 353, 4257, 23583, 877, 8179, 742, 9066, 29897, 13, 29937, 268, 848, 29918, 8768, 353, 2446, 29898, 1445, 29918, 1524, 467, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 29937, 268, 363, 1196, 297, 934, 29918, 1524, 29901, 13, 29937, 308, 848, 353, 1196, 29889, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 29937, 308, 848, 353, 4320, 29918, 798, 29898, 1272, 29918, 8768, 29892, 848, 29897, 13, 29937, 308, 1559, 353, 1704, 10456, 1272, 29897, 13, 29937, 308, 18647, 29889, 4397, 29898, 4287, 29897, 13, 13, 2541, 1722, 877, 29883, 1503, 29889, 7638, 1495, 408, 934, 29901, 13, 1678, 934, 29918, 1524, 353, 4256, 29898, 1445, 29897, 13, 1678, 9066, 353, 2446, 29898, 1445, 29918, 1524, 467, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 1678, 1704, 353, 4257, 23583, 877, 8179, 742, 9066, 29897, 13, 1678, 848, 29918, 8768, 353, 2446, 29898, 1445, 29918, 1524, 467, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 1678, 18647, 353, 518, 8179, 10456, 4384, 29918, 798, 29898, 13, 18884, 848, 29918, 8768, 29892, 13, 18884, 1196, 29889, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 462, 876, 13, 9651, 363, 1196, 297, 934, 29918, 1524, 29962, 13, 13, 2158, 29898, 29883, 1503, 29897, 13, 2 ]
pymovingintelligence_ha/__init__.py	cyberjunky/python-movingintelligence-ha	0	42791	"""Home Assistant Python 3 API wrapper for Moving Intelligence.""" import datetime import logging from .utils import Utils _LOGGER = logging.getLogger("pymovingintelligence_ha") class MovingIntelligence: """Class for communicating with the Moving Intelligence API.""" def __init__( self, username: str = None, apikey: str = None, ): """Init module.""" self.utils = Utils(username, apikey) async def get_devices(self) -> dict: """Get devices.""" result = [] objects = await self.utils.request( "GET", endpoint="/v1/objects", ) for item in objects: device = Device(self.utils, item["licence"]) await device.update_from_json(item) if device.odometer: result.append(device) return result class Device: """Entity used to store device information.""" def __init__(self, utilities, license_plate): """Initialize a device, also a vehicle.""" self._utilities = utilities self.identifier = None self.make = None self.model = None self.license_plate = license_plate self.chassis_number = None self.in_use_date = None self.year = None self.remarks = None self.latitude = 0 self.longitude = 0 self.odometer = None self.speed = None self.start_trip_time = None self.start_trip_street = None self.start_trip_city = None self.start_trip_country = None self.trip_distance = None self.end_trip_street = None self.end_trip_city = None self.end_trip_country = None self.end_trip_time = None self.trip_distance = None self.start_trip_address = None self.end_trip_address = None self.last_seen = None self.location_alias = None @property def data(self): """Return all data of the vehicle.""" return { "id": self.identifier, "make": self.make, "model": self.model, "license_plate": self.license_plate, "chassis_number": self.chassis_number, "in_use_date": self.in_use_date, "year": self.year, "remarks": self.remarks, "latitude": self.latitude, "longitude": self.longitude, "odometer": self.odometer, "speed": self.speed, "start_trip_time": self.start_trip_time, "start_trip_address": self.start_trip_address, "end_trip_time": self.end_trip_time, "end_trip_address": self.end_trip_address, "trip_distance": self.trip_distance, "last_seen": self.end_trip_time, "location_alias": self.location_alias, } async def update_from_json(self, data): """Set all attributes based on API response.""" self.identifier = self.getvalue(data, "id") self.license_plate = self.getvalue(data, "licence") self.make = self.getvalue(data, "brand") self.model = self.getvalue(data, "model") self.chassis_number = self.getvalue(data, "chassisNumber") self.in_use_date = self.converttime(self.getvalue(data, "startDate")) self.year = self.getvalue(data, "yearOfManufacture") self.remarks = self.getvalue(data, "remarks") self.odometer = await self.get_odometer(self.identifier) trip = await self.get_object_detailed_trips( self.identifier, "CURRENT_MONTH", "UNKNOWN" ) if trip: location = trip[-1]["locationAndSpeed"] if len(location) > 0 and location[-1].get("lat") is not None: self.latitude = float(location[-1]["lat"] / 1000000) self.longitude = float(location[-1]["lon"] / 1000000) self.speed = location[-1]["speed"] self.start_trip_time = self.converttime( self.getvalue(trip[-1], "startDate") ) self.start_trip_street = self.getvalue(trip[-1], "startRoad") self.start_trip_city = self.getvalue(trip[-1], "startCity") self.start_trip_city = self.start_trip_city.replace("\|m:", " ") self.start_trip_country = self.getvalue(trip[-1], "startCountry") self.end_trip_street = self.getvalue(trip[-1], "endRoad") self.end_trip_city = self.getvalue(trip[-1], "endCity") self.end_trip_city = self.end_trip_city.replace("\|m:", " ") self.end_trip_country = self.getvalue(trip[-1], "endCountry") self.end_trip_time = self.converttime(self.getvalue(trip[-1], "endDate")) self.trip_distance = self.getvalue(trip[-1], "distance") / 1000 self.location_alias = self.getvalue(trip[-1], "endAlias") self.start_trip_address = f"{self.start_trip_street}, {self.start_trip_city}, {self.start_trip_country}" self.end_trip_address = ( f"{self.end_trip_street}, {self.end_trip_city}, {self.end_trip_country}" ) @staticmethod def getvalue(data, value): """Safely get values.""" if value in data: return data[value] return None @staticmethod def converttime(stamp): """Convert datestamp.""" if not stamp: return stamp when = datetime.datetime.fromtimestamp(stamp) return when.strftime("%Y-%m-%d %H:%M:%S") async def get_odometer(self, object_id: str) -> dict: """Get odometer readings.""" odometer = None data = await self._utilities.request( "GET", endpoint=f"/v1/object/{object_id}/odometer" ) if data: odometer = int(self.getvalue(data, "odoInMeters") / 1000) return odometer async def get_object_detailed_trips( self, object_id: str, period: str, classifications ) -> dict: """Get detailed trips for object.""" return await self._utilities.request( "GET", endpoint=f"/v1/object/{object_id}/detailedtrips", params=self._utilities.clean_request_params( { "period": period, "classifications": classifications, } ), )	[ 1, 9995, 11184, 4007, 22137, 5132, 29871, 29941, 3450, 14476, 363, 14104, 292, 3159, 28286, 1213, 15945, 13, 5215, 12865, 13, 5215, 12183, 13, 13, 3166, 869, 13239, 1053, 22310, 29879, 13, 13, 29918, 14480, 17070, 353, 12183, 29889, 657, 16363, 703, 29886, 962, 21081, 524, 28286, 29918, 2350, 1159, 13, 13, 13, 1990, 14104, 292, 2928, 28286, 29901, 13, 1678, 9995, 2385, 363, 7212, 1218, 411, 278, 14104, 292, 3159, 28286, 3450, 1213, 15945, 13, 13, 1678, 822, 4770, 2344, 12035, 13, 4706, 1583, 29892, 13, 4706, 8952, 29901, 851, 353, 6213, 29892, 13, 4706, 7882, 1989, 29901, 851, 353, 6213, 29892, 13, 268, 1125, 13, 4706, 9995, 6644, 3883, 1213, 15945, 13, 13, 4706, 1583, 29889, 13239, 353, 22310, 29879, 29898, 6786, 29892, 7882, 1989, 29897, 13, 13, 1678, 7465, 822, 679, 29918, 3359, 1575, 29898, 1311, 29897, 1599, 9657, 29901, 13, 4706, 9995, 2577, 9224, 1213, 15945, 13, 4706, 1121, 353, 5159, 13, 13, 4706, 3618, 353, 7272, 1583, 29889, 13239, 29889, 3827, 29898, 13, 9651, 376, 7194, 613, 13, 9651, 16248, 13802, 29894, 29896, 29914, 12650, 613, 13, 4706, 1723, 13, 13, 4706, 363, 2944, 297, 3618, 29901, 13, 9651, 4742, 353, 21830, 29898, 1311, 29889, 13239, 29892, 2944, 3366, 506, 663, 20068, 13, 9651, 7272, 4742, 29889, 5504, 29918, 3166, 29918, 3126, 29898, 667, 29897, 13, 9651, 565, 4742, 29889, 397, 8328, 29901, 13, 18884, 1121, 29889, 4397, 29898, 10141, 29897, 13, 13, 4706, 736, 1121, 13, 13, 13, 1990, 21830, 29901, 13, 1678, 9995, 6691, 1304, 304, 3787, 4742, 2472, 1213, 15945, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3667, 1907, 29892, 19405, 29918, 2341, 1125, 13, 4706, 9995, 6644, 6646, 263, 4742, 29892, 884, 263, 19716, 1213, 15945, 13, 4706, 1583, 3032, 4422, 1907, 353, 3667, 1907, 13, 13, 4706, 1583, 29889, 25378, 353, 6213, 13, 4706, 1583, 29889, 5675, 353, 6213, 13, 4706, 1583, 29889, 4299, 353, 6213, 13, 4706, 1583, 29889, 506, 1947, 29918, 2341, 353, 19405, 29918, 2341, 13, 4706, 1583, 29889, 305, 465, 275, 29918, 4537, 353, 6213, 13, 4706, 1583, 29889, 262, 29918, 1509, 29918, 1256, 353, 6213, 13, 4706, 1583, 29889, 6360, 353, 6213, 13, 4706, 1583, 29889, 1745, 17862, 353, 6213, 13, 4706, 1583, 29889, 5066, 4279, 353, 29871, 29900, 13, 4706, 1583, 29889, 5426, 4279, 353, 29871, 29900, 13, 4706, 1583, 29889, 397, 8328, 353, 6213, 13, 4706, 1583, 29889, 19322, 353, 6213, 13, 4706, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 2230, 353, 6213, 13, 4706, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 29352, 353, 6213, 13, 4706, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 12690, 353, 6213, 13, 4706, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 13509, 353, 6213, 13, 4706, 1583, 29889, 3626, 29886, 29918, 19244, 353, 6213, 13, 4706, 1583, 29889, 355, 29918, 3626, 29886, 29918, 29352, 353, 6213, 13, 4706, 1583, 29889, 355, 29918, 3626, 29886, 29918, 12690, 353, 6213, 13, 4706, 1583, 29889, 355, 29918, 3626, 29886, 29918, 13509, 353, 6213, 13, 4706, 1583, 29889, 355, 29918, 3626, 29886, 29918, 2230, 353, 6213, 13, 4706, 1583, 29889, 3626, 29886, 29918, 19244, 353, 6213, 13, 4706, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 7328, 353, 6213, 13, 4706, 1583, 29889, 355, 29918, 3626, 29886, 29918, 7328, 353, 6213, 13, 4706, 1583, 29889, 4230, 29918, 28026, 353, 6213, 13, 4706, 1583, 29889, 5479, 29918, 19973, 353, 6213, 13, 13, 1678, 732, 6799, 13, 1678, 822, 848, 29898, 1311, 1125, 13, 4706, 9995, 11609, 599, 848, 310, 278, 19716, 1213, 15945, 13, 13, 4706, 736, 426, 13, 9651, 376, 333, 1115, 1583, 29889, 25378, 29892, 13, 9651, 376, 5675, 1115, 1583, 29889, 5675, 29892, 13, 9651, 376, 4299, 1115, 1583, 29889, 4299, 29892, 13, 9651, 376, 506, 1947, 29918, 2341, 1115, 1583, 29889, 506, 1947, 29918, 2341, 29892, 13, 9651, 376, 305, 465, 275, 29918, 4537, 1115, 1583, 29889, 305, 465, 275, 29918, 4537, 29892, 13, 9651, 376, 262, 29918, 1509, 29918, 1256, 1115, 1583, 29889, 262, 29918, 1509, 29918, 1256, 29892, 13, 9651, 376, 6360, 1115, 1583, 29889, 6360, 29892, 13, 9651, 376, 1745, 17862, 1115, 1583, 29889, 1745, 17862, 29892, 13, 9651, 376, 5066, 4279, 1115, 1583, 29889, 5066, 4279, 29892, 13, 9651, 376, 5426, 4279, 1115, 1583, 29889, 5426, 4279, 29892, 13, 9651, 376, 397, 8328, 1115, 1583, 29889, 397, 8328, 29892, 13, 9651, 376, 19322, 1115, 1583, 29889, 19322, 29892, 13, 9651, 376, 2962, 29918, 3626, 29886, 29918, 2230, 1115, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 2230, 29892, 13, 9651, 376, 2962, 29918, 3626, 29886, 29918, 7328, 1115, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 7328, 29892, 13, 9651, 376, 355, 29918, 3626, 29886, 29918, 2230, 1115, 1583, 29889, 355, 29918, 3626, 29886, 29918, 2230, 29892, 13, 9651, 376, 355, 29918, 3626, 29886, 29918, 7328, 1115, 1583, 29889, 355, 29918, 3626, 29886, 29918, 7328, 29892, 13, 9651, 376, 3626, 29886, 29918, 19244, 1115, 1583, 29889, 3626, 29886, 29918, 19244, 29892, 13, 9651, 376, 4230, 29918, 28026, 1115, 1583, 29889, 355, 29918, 3626, 29886, 29918, 2230, 29892, 13, 9651, 376, 5479, 29918, 19973, 1115, 1583, 29889, 5479, 29918, 19973, 29892, 13, 4706, 500, 13, 13, 1678, 7465, 822, 2767, 29918, 3166, 29918, 3126, 29898, 1311, 29892, 848, 1125, 13, 4706, 9995, 2697, 599, 8393, 2729, 373, 3450, 2933, 1213, 15945, 13, 13, 4706, 1583, 29889, 25378, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 333, 1159, 13, 4706, 1583, 29889, 506, 1947, 29918, 2341, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 506, 663, 1159, 13, 4706, 1583, 29889, 5675, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 16472, 1159, 13, 4706, 1583, 29889, 4299, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 4299, 1159, 13, 4706, 1583, 29889, 305, 465, 275, 29918, 4537, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 305, 465, 275, 4557, 1159, 13, 4706, 1583, 29889, 262, 29918, 1509, 29918, 1256, 353, 1583, 29889, 535, 369, 698, 603, 29898, 1311, 29889, 657, 1767, 29898, 1272, 29892, 376, 2962, 2539, 5783, 13, 4706, 1583, 29889, 6360, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 6360, 2776, 2517, 9765, 545, 1159, 13, 4706, 1583, 29889, 1745, 17862, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 1745, 17862, 1159, 13, 4706, 1583, 29889, 397, 8328, 353, 7272, 1583, 29889, 657, 29918, 397, 8328, 29898, 1311, 29889, 25378, 29897, 13, 13, 4706, 17487, 353, 7272, 1583, 29889, 657, 29918, 3318, 29918, 29881, 11881, 29918, 3626, 567, 29898, 13, 9651, 1583, 29889, 25378, 29892, 376, 22484, 29450, 29918, 22877, 4690, 613, 376, 3904, 29968, 6632, 16048, 29908, 13, 4706, 1723, 13, 13, 4706, 565, 17487, 29901, 13, 9651, 4423, 353, 17487, 14352, 29896, 29962, 3366, 5479, 2855, 26539, 3108, 13, 9651, 565, 7431, 29898, 5479, 29897, 1405, 29871, 29900, 322, 4423, 14352, 29896, 1822, 657, 703, 5066, 1159, 338, 451, 6213, 29901, 13, 18884, 1583, 29889, 5066, 4279, 353, 5785, 29898, 5479, 14352, 29896, 29962, 3366, 5066, 3108, 847, 29871, 29896, 29900, 29900, 29900, 29900, 29900, 29900, 29897, 13, 18884, 1583, 29889, 5426, 4279, 353, 5785, 29898, 5479, 14352, 29896, 29962, 3366, 12957, 3108, 847, 29871, 29896, 29900, 29900, 29900, 29900, 29900, 29900, 29897, 13, 18884, 1583, 29889, 19322, 353, 4423, 14352, 29896, 29962, 3366, 19322, 3108, 13, 13, 9651, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 2230, 353, 1583, 29889, 535, 369, 698, 603, 29898, 13, 18884, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 2962, 2539, 1159, 13, 9651, 1723, 13, 9651, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 29352, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 2962, 9588, 328, 1159, 13, 9651, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 12690, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 2962, 16885, 1159, 13, 9651, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 12690, 353, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 12690, 29889, 6506, 703, 29989, 29885, 29901, 613, 376, 16521, 13, 9651, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 13509, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 2962, 20779, 1159, 13, 13, 9651, 1583, 29889, 355, 29918, 3626, 29886, 29918, 29352, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 355, 9588, 328, 1159, 13, 9651, 1583, 29889, 355, 29918, 3626, 29886, 29918, 12690, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 355, 16885, 1159, 13, 9651, 1583, 29889, 355, 29918, 3626, 29886, 29918, 12690, 353, 1583, 29889, 355, 29918, 3626, 29886, 29918, 12690, 29889, 6506, 703, 29989, 29885, 29901, 613, 376, 16521, 13, 9651, 1583, 29889, 355, 29918, 3626, 29886, 29918, 13509, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 355, 20779, 1159, 13, 9651, 1583, 29889, 355, 29918, 3626, 29886, 29918, 2230, 353, 1583, 29889, 535, 369, 698, 603, 29898, 1311, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 355, 2539, 5783, 13, 13, 9651, 1583, 29889, 3626, 29886, 29918, 19244, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 19244, 1159, 847, 29871, 29896, 29900, 29900, 29900, 13, 9651, 1583, 29889, 5479, 29918, 19973, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 355, 29909, 18849, 1159, 13, 13, 9651, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 7328, 353, 285, 29908, 29912, 1311, 29889, 2962, 29918, 3626, 29886, 29918, 29352, 1118, 426, 1311, 29889, 2962, 29918, 3626, 29886, 29918, 12690, 1118, 426, 1311, 29889, 2962, 29918, 3626, 29886, 29918, 13509, 5038, 13, 9651, 1583, 29889, 355, 29918, 3626, 29886, 29918, 7328, 353, 313, 13, 18884, 285, 29908, 29912, 1311, 29889, 355, 29918, 3626, 29886, 29918, 29352, 1118, 426, 1311, 29889, 355, 29918, 3626, 29886, 29918, 12690, 1118, 426, 1311, 29889, 355, 29918, 3626, 29886, 29918, 13509, 5038, 13, 9651, 1723, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 679, 1767, 29898, 1272, 29892, 995, 1125, 13, 4706, 9995, 29903, 2142, 873, 679, 1819, 1213, 15945, 13, 4706, 565, 995, 297, 848, 29901, 13, 9651, 736, 848, 29961, 1767, 29962, 13, 4706, 736, 6213, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 5486, 698, 603, 29898, 303, 1160, 1125, 13, 4706, 9995, 18455, 1418, 7416, 1213, 15945, 13, 4706, 565, 451, 25214, 29901, 13, 9651, 736, 25214, 13, 13, 4706, 746, 353, 12865, 29889, 12673, 29889, 3166, 16394, 29898, 303, 1160, 29897, 13, 4706, 736, 746, 29889, 710, 615, 603, 11702, 29979, 19222, 29885, 19222, 29881, 1273, 29950, 16664, 29924, 16664, 29903, 1159, 13, 13, 1678, 7465, 822, 679, 29918, 397, 8328, 29898, 1311, 29892, 1203, 29918, 333, 29901, 851, 29897, 1599, 9657, 29901, 13, 4706, 9995, 2577, 2413, 8328, 1303, 886, 1213, 15945, 13, 13, 4706, 2413, 8328, 353, 6213, 13, 4706, 848, 353, 7272, 1583, 3032, 4422, 1907, 29889, 3827, 29898, 13, 9651, 376, 7194, 613, 16248, 29922, 29888, 23901, 29894, 29896, 29914, 3318, 19248, 3318, 29918, 333, 6822, 397, 8328, 29908, 13, 4706, 1723, 13, 13, 4706, 565, 848, 29901, 13, 9651, 2413, 8328, 353, 938, 29898, 1311, 29889, 657, 1767, 29898, 1272, 29892, 376, 8144, 797, 29924, 2699, 1159, 847, 29871, 29896, 29900, 29900, 29900, 29897, 13, 13, 4706, 736, 2413, 8328, 13, 13, 1678, 7465, 822, 679, 29918, 3318, 29918, 29881, 11881, 29918, 3626, 567, 29898, 13, 4706, 1583, 29892, 1203, 29918, 333, 29901, 851, 29892, 3785, 29901, 851, 29892, 770, 8232, 13, 1678, 1723, 1599, 9657, 29901, 13, 4706, 9995, 2577, 13173, 3367, 567, 363, 1203, 1213, 15945, 13, 13, 4706, 736, 7272, 1583, 3032, 4422, 1907, 29889, 3827, 29898, 13, 9651, 376, 7194, 613, 13, 9651, 16248, 29922, 29888, 23901, 29894, 29896, 29914, 3318, 19248, 3318, 29918, 333, 6822, 29881, 11881, 3626, 567, 613, 13, 9651, 8636, 29922, 1311, 3032, 4422, 1907, 29889, 14941, 29918, 3827, 29918, 7529, 29898, 13, 18884, 426, 13, 462, 1678, 376, 19145, 1115, 3785, 29892, 13, 462, 1678, 376, 1990, 8232, 1115, 770, 8232, 29892, 13, 18884, 500, 13, 9651, 10353, 13, 4706, 1723, 13, 2 ]
kitsune/flagit/migrations/0002_auto_20200629_0826.py	AndrewDVXI/kitsune	929	157100	# Generated by Django 2.2.13 on 2020-06-29 08:26 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('flagit', '0001_initial'), ] operations = [ migrations.AlterField( model_name='flaggedobject', name='notes', field=models.TextField(blank=True, default=''), ), migrations.AlterField( model_name='flaggedobject', name='reason', field=models.CharField(choices=[('spam', 'Spam or other unrelated content'), ('language', 'Inappropriate language/dialog'), ('bug_support', 'Misplaced bug report or support request'), ('abuse', 'Abusive content'), ('other', 'Other (please specify)')], max_length=64), ), ]	[ 1, 396, 3251, 630, 491, 15337, 29871, 29906, 29889, 29906, 29889, 29896, 29941, 373, 29871, 29906, 29900, 29906, 29900, 29899, 29900, 29953, 29899, 29906, 29929, 29871, 29900, 29947, 29901, 29906, 29953, 13, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 29892, 4733, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 15581, 277, 742, 525, 29900, 29900, 29900, 29896, 29918, 11228, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 15581, 3192, 3318, 742, 13, 9651, 1024, 2433, 16953, 742, 13, 9651, 1746, 29922, 9794, 29889, 15778, 29898, 19465, 29922, 5574, 29892, 2322, 2433, 5477, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 15581, 3192, 3318, 742, 13, 9651, 1024, 2433, 23147, 742, 13, 9651, 1746, 29922, 9794, 29889, 27890, 29898, 1859, 1575, 11759, 877, 1028, 314, 742, 525, 5592, 314, 470, 916, 443, 12817, 2793, 5477, 6702, 11675, 742, 525, 797, 932, 6649, 403, 4086, 29914, 15901, 5477, 6702, 6152, 29918, 5924, 742, 525, 29924, 11936, 433, 1133, 6494, 3461, 470, 2304, 2009, 5477, 6702, 370, 1509, 742, 525, 4920, 375, 573, 2793, 5477, 6702, 1228, 742, 525, 16107, 313, 552, 559, 6084, 29897, 1495, 1402, 4236, 29918, 2848, 29922, 29953, 29946, 511, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
lap_tracker/__init__.py	glyg/lap_tracker	6	43550	# -- coding: utf-8 -- from __future__ import unicode_literals from __future__ import division from __future__ import absolute_import from __future__ import print_function __version__ = "0.1" from .lap_tracking import LAPTracker from .tester import * import os import logging from .utils.color_system import color def in_ipython(): try: __IPYTHON__ except NameError: return False else: return True if in_ipython(): logformat = '%(asctime)s' + ':' logformat += '%(levelname)s' + ':' logformat += '%(name)s' + ':' # logformat += '%(funcName)s' + ': ' logformat += ' %(message)s' else: logformat = color('%(asctime)s', 'BLUE') + ':' logformat += color('%(levelname)s', 'RED') + ':' logformat += color('%(name)s', 'YELLOW') + ':' # logformat += color('%(funcName)s', 'GREEN') + ': ' logformat += color(' %(message)s', 'ENDC') thisdir = os.path.abspath(os.path.dirname(__file__)) pkgdir = os.path.dirname(thisdir) samplesdir = os.path.join(pkgdir, 'samples') logger = logging.getLogger(__name__) handler = logging.StreamHandler() formatter = logging.Formatter(logformat, "%Y-%m-%d %H:%M:%S") handler.setFormatter(formatter) logger.addHandler(handler) logger.setLevel(logging.DEBUG) logger.propagate = False import warnings warnings.filterwarnings("ignore") try: import matplotlib matplotlib.rcParams['backend'] = "Agg" except ImportError: logger.warning( 'Matplotlib has not been detected. Some functions may not work.')	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8542, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 3166, 4770, 29888, 9130, 1649, 1053, 1596, 29918, 2220, 13, 13, 1649, 3259, 1649, 353, 376, 29900, 29889, 29896, 29908, 13, 13, 3166, 869, 6984, 29918, 11294, 292, 1053, 365, 3301, 5323, 4937, 13, 3166, 869, 1688, 261, 1053, 334, 13, 13, 5215, 2897, 13, 5215, 12183, 13, 13, 3166, 869, 13239, 29889, 2780, 29918, 5205, 1053, 2927, 13, 13, 13, 1753, 297, 29918, 666, 1656, 7295, 13, 1678, 1018, 29901, 13, 4706, 4770, 5690, 29979, 4690, 1164, 1649, 13, 1678, 5174, 4408, 2392, 29901, 13, 4706, 736, 7700, 13, 1678, 1683, 29901, 13, 4706, 736, 5852, 13, 13, 361, 297, 29918, 666, 1656, 7295, 13, 1678, 1480, 4830, 353, 14210, 29898, 294, 312, 603, 29897, 29879, 29915, 718, 525, 11283, 13, 1678, 1480, 4830, 4619, 14210, 29898, 5563, 978, 29897, 29879, 29915, 718, 525, 11283, 13, 1678, 1480, 4830, 4619, 14210, 29898, 978, 29897, 29879, 29915, 718, 525, 11283, 13, 1678, 396, 1480, 4830, 4619, 14210, 29898, 9891, 1170, 29897, 29879, 29915, 718, 525, 29901, 525, 13, 1678, 1480, 4830, 4619, 525, 1273, 29898, 4906, 29897, 29879, 29915, 13, 2870, 29901, 13, 1678, 1480, 4830, 353, 2927, 877, 29995, 29898, 294, 312, 603, 29897, 29879, 742, 525, 13367, 4462, 1495, 718, 525, 11283, 13, 1678, 1480, 4830, 4619, 2927, 877, 29995, 29898, 5563, 978, 29897, 29879, 742, 525, 19386, 1495, 718, 525, 11283, 13, 1678, 1480, 4830, 4619, 2927, 877, 29995, 29898, 978, 29897, 29879, 742, 525, 29979, 29923, 2208, 9806, 1495, 718, 525, 11283, 13, 1678, 396, 1480, 4830, 4619, 2927, 877, 29995, 29898, 9891, 1170, 29897, 29879, 742, 525, 29954, 1525, 1430, 1495, 718, 525, 29901, 525, 13, 1678, 1480, 4830, 4619, 2927, 877, 1273, 29898, 4906, 29897, 29879, 742, 525, 11794, 29907, 1495, 13, 13, 1366, 3972, 353, 2897, 29889, 2084, 29889, 370, 1028, 493, 29898, 359, 29889, 2084, 29889, 25721, 22168, 1445, 1649, 876, 13, 15865, 3972, 353, 2897, 29889, 2084, 29889, 25721, 29898, 1366, 3972, 29897, 13, 27736, 3972, 353, 2897, 29889, 2084, 29889, 7122, 29898, 15865, 3972, 29892, 525, 27736, 1495, 13, 13, 21707, 353, 12183, 29889, 657, 16363, 22168, 978, 1649, 29897, 13, 13789, 353, 12183, 29889, 3835, 4598, 580, 13, 689, 2620, 353, 12183, 29889, 18522, 29898, 1188, 4830, 29892, 11860, 29979, 19222, 29885, 19222, 29881, 1273, 29950, 16664, 29924, 16664, 29903, 1159, 13, 13789, 29889, 842, 18522, 29898, 689, 2620, 29897, 13, 21707, 29889, 1202, 4598, 29898, 13789, 29897, 13, 21707, 29889, 842, 10108, 29898, 21027, 29889, 18525, 29897, 13, 21707, 29889, 7728, 351, 403, 353, 7700, 13, 13, 5215, 18116, 13, 25442, 886, 29889, 4572, 25442, 886, 703, 17281, 1159, 13, 2202, 29901, 13, 1678, 1053, 22889, 13, 1678, 22889, 29889, 2214, 9629, 1839, 27852, 2033, 353, 376, 29909, 1505, 29908, 13, 19499, 16032, 2392, 29901, 13, 1678, 17927, 29889, 27392, 29898, 13, 4706, 525, 9782, 17357, 756, 451, 1063, 17809, 29889, 3834, 3168, 1122, 451, 664, 29889, 1495, 13, 13, 2 ]
models/language_translation/tensorflow/transformer_mlperf/inference/fp32/transformer/export_transformer.py	ashahba/models	357	177087	#! /usr/bin/env python from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import argparse import sys import tensorflow as tf from model import model_params from model import transformer tf.compat.v1.disable_v2_behavior() _EXTRA_DECODE_LENGTH = 100 _BEAM_SIZE = 4 _ALPHA = 0.6 def main(unused_argv): tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.INFO) if FLAGS.params == "base": params = model_params.TransformerBaseParams elif FLAGS.params == "big": params = model_params.TransformerBigParams else: raise ValueError("Invalid parameter set defined: %s." "Expected 'base' or 'big.'" % FLAGS.params) # Set up estimator and params params.beam_size = _BEAM_SIZE params.alpha = _ALPHA params.extra_decode_length = _EXTRA_DECODE_LENGTH params.frozen_graph = None input_shape = [None, None] input_tokens = tf.compat.v1.placeholder(tf.int64, input_shape, name='input_tokens') with tf.compat.v1.variable_scope("model"): model = transformer.Transformer(params, False) output = model(input_tokens) # Restore variables from checkpoint sess = tf.compat.v1.Session() latest_model = tf.train.latest_checkpoint(FLAGS.model_dir) saver = tf.compat.v1.train.Saver() saver.restore(sess, latest_model) # Freeze the graph graph_def = sess.graph.as_graph_def() output_names = ['model/Transformer/strided_slice_15', 'model/Transformer/strided_slice_16'] graph_def = tf.compat.v1.graph_util.convert_variables_to_constants(sess, graph_def, output_names) print("pb_path is", FLAGS.pb_path) with tf.compat.v1.gfile.GFile(FLAGS.pb_path, 'wb') as pb_file: pb_file.write(graph_def.SerializeToString()) if __name__ == "__main__": parser = argparse.ArgumentParser() # Model arguments parser.add_argument( "--model_dir", "-md", type=str, required=True, help="Directory containing Transformer model checkpoints.", metavar="<MD>") parser.add_argument( "--pb_path", "-pp", type=str, required=True, help="The output pb file path", metavar="<PP>") parser.add_argument( "--params", "-p", type=str, default="big", choices=["base", "big"], help="[default: %(default)s] Parameter used for trained model.", metavar="<P>") FLAGS, unparsed = parser.parse_known_args() main(sys.argv)	[ 1, 396, 29991, 847, 4855, 29914, 2109, 29914, 6272, 3017, 13, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8542, 13, 3166, 4770, 29888, 9130, 1649, 1053, 1596, 29918, 2220, 13, 13, 5215, 2897, 13, 5215, 1852, 5510, 13, 5215, 10876, 13, 13, 5215, 26110, 408, 15886, 13, 3166, 1904, 1053, 1904, 29918, 7529, 13, 3166, 1904, 1053, 4327, 261, 13, 13, 13264, 29889, 12667, 29889, 29894, 29896, 29889, 20472, 29918, 29894, 29906, 29918, 915, 16300, 580, 13, 13, 29918, 12194, 4717, 29918, 2287, 16524, 29918, 19433, 353, 29871, 29896, 29900, 29900, 13, 29918, 15349, 5194, 29918, 14226, 353, 29871, 29946, 13, 29918, 1964, 29925, 15715, 353, 29871, 29900, 29889, 29953, 13, 13, 1753, 1667, 29898, 348, 3880, 29918, 19218, 1125, 13, 29871, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 21027, 29889, 842, 29918, 18248, 359, 537, 29898, 13264, 29889, 12667, 29889, 29894, 29896, 29889, 21027, 29889, 11690, 29897, 13, 13, 29871, 565, 383, 4375, 10749, 29889, 7529, 1275, 376, 3188, 1115, 13, 1678, 8636, 353, 1904, 29918, 7529, 29889, 13372, 261, 5160, 9629, 13, 29871, 25342, 383, 4375, 10749, 29889, 7529, 1275, 376, 3752, 1115, 13, 1678, 8636, 353, 1904, 29918, 7529, 29889, 13372, 261, 6970, 9629, 13, 29871, 1683, 29901, 13, 1678, 12020, 7865, 2392, 703, 13919, 3443, 731, 3342, 29901, 1273, 29879, 1213, 13, 462, 268, 376, 1252, 6021, 525, 3188, 29915, 470, 525, 3752, 6169, 29908, 1273, 383, 4375, 10749, 29889, 7529, 29897, 13, 29871, 396, 3789, 701, 4844, 1061, 322, 8636, 13, 29871, 8636, 29889, 915, 314, 29918, 2311, 353, 903, 15349, 5194, 29918, 14226, 13, 29871, 8636, 29889, 2312, 353, 903, 1964, 29925, 15715, 13, 29871, 8636, 29889, 17833, 29918, 13808, 29918, 2848, 353, 903, 12194, 4717, 29918, 2287, 16524, 29918, 19433, 13, 29871, 8636, 29889, 29888, 307, 2256, 29918, 4262, 353, 6213, 13, 29871, 1881, 29918, 12181, 353, 518, 8516, 29892, 6213, 29962, 13, 29871, 1881, 29918, 517, 12360, 353, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 27074, 29898, 13264, 29889, 524, 29953, 29946, 29892, 1881, 29918, 12181, 29892, 13, 462, 462, 3986, 1024, 2433, 2080, 29918, 517, 12360, 1495, 13, 29871, 411, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 11918, 29918, 6078, 703, 4299, 29908, 1125, 13, 1678, 1904, 353, 4327, 261, 29889, 13372, 261, 29898, 7529, 29892, 7700, 29897, 29871, 13, 1678, 1962, 353, 1904, 29898, 2080, 29918, 517, 12360, 29897, 13, 13, 29871, 396, 11654, 487, 3651, 515, 1423, 3149, 13, 29871, 27937, 353, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 7317, 580, 13, 29871, 9281, 29918, 4299, 353, 15886, 29889, 14968, 29889, 12333, 29918, 3198, 3149, 29898, 18823, 10749, 29889, 4299, 29918, 3972, 29897, 13, 29871, 872, 369, 353, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 14968, 29889, 29903, 12483, 580, 13, 29871, 872, 369, 29889, 5060, 487, 29898, 29879, 404, 29892, 9281, 29918, 4299, 29897, 13, 13, 29871, 396, 12362, 911, 278, 3983, 13, 29871, 3983, 29918, 1753, 353, 27937, 29889, 4262, 29889, 294, 29918, 4262, 29918, 1753, 580, 13, 29871, 1962, 29918, 7039, 353, 6024, 4299, 29914, 13372, 261, 29914, 710, 2618, 29918, 18337, 29918, 29896, 29945, 742, 13, 462, 29871, 525, 4299, 29914, 13372, 261, 29914, 710, 2618, 29918, 18337, 29918, 29896, 29953, 2033, 13, 29871, 3983, 29918, 1753, 353, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 4262, 29918, 4422, 29889, 13441, 29918, 20897, 29918, 517, 29918, 3075, 1934, 29898, 29879, 404, 29892, 13, 4706, 3983, 29918, 1753, 29892, 1962, 29918, 7039, 29897, 13, 29871, 1596, 703, 24381, 29918, 2084, 338, 613, 383, 4375, 10749, 29889, 24381, 29918, 2084, 29897, 13, 29871, 411, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 29887, 1445, 29889, 29954, 2283, 29898, 18823, 10749, 29889, 24381, 29918, 2084, 29892, 525, 29893, 29890, 1495, 408, 282, 29890, 29918, 1445, 29901, 13, 1678, 282, 29890, 29918, 1445, 29889, 3539, 29898, 4262, 29918, 1753, 29889, 1748, 6646, 8246, 3101, 13, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 29871, 13812, 353, 1852, 5510, 29889, 15730, 11726, 580, 13, 13, 29871, 396, 8125, 6273, 13, 29871, 13812, 29889, 1202, 29918, 23516, 29898, 13, 268, 376, 489, 4299, 29918, 3972, 613, 11663, 3487, 613, 1134, 29922, 710, 29892, 3734, 29922, 5574, 29892, 13, 418, 1371, 543, 9882, 6943, 4103, 24784, 1904, 1423, 9748, 19602, 13, 418, 1539, 485, 279, 543, 29966, 5773, 29958, 1159, 13, 29871, 13812, 29889, 1202, 29918, 23516, 29898, 13, 418, 376, 489, 24381, 29918, 2084, 613, 11663, 407, 613, 1134, 29922, 710, 29892, 3734, 29922, 5574, 29892, 13, 418, 1371, 543, 1576, 1962, 282, 29890, 934, 2224, 613, 13, 418, 1539, 485, 279, 543, 29966, 18009, 29958, 1159, 13, 29871, 13812, 29889, 1202, 29918, 23516, 29898, 13, 418, 376, 489, 7529, 613, 11663, 29886, 613, 1134, 29922, 710, 29892, 2322, 543, 3752, 613, 19995, 29922, 3366, 3188, 613, 376, 3752, 12436, 13, 418, 1371, 543, 29961, 4381, 29901, 1273, 29898, 4381, 29897, 29879, 29962, 24953, 1304, 363, 16370, 1904, 19602, 13, 418, 1539, 485, 279, 543, 29966, 29925, 29958, 1159, 13, 13, 29871, 383, 4375, 10749, 29892, 443, 862, 8485, 353, 13812, 29889, 5510, 29918, 5203, 29918, 5085, 580, 13, 29871, 1667, 29898, 9675, 29889, 19218, 29897, 13, 2 ]
blenderlib/bpy.app.py	kabuku/blender-python	23	156327	'''Application Data (bpy.app) This module contains application values that remain unchanged during runtime. ''' debug = None '''Boolean, for debug info (started with --debug / --debug_* matching this attribute name) ''' debug_events = None '''Boolean, for debug info (started with --debug / --debug_* matching this attribute name) ''' debug_ffmpeg = None '''Boolean, for debug info (started with --debug / --debug_* matching this attribute name) ''' debug_handlers = None '''Boolean, for debug info (started with --debug / --debug_* matching this attribute name) ''' debug_python = None '''Boolean, for debug info (started with --debug / --debug_* matching this attribute name) ''' debug_value = None '''Int, number which can be set to non-zero values for testing purposes ''' debug_wm = None '''Boolean, for debug info (started with --debug / --debug_* matching this attribute name) ''' driver_namespace = None '''Dictionary for drivers namespace, editable in-place, reset on file load (read-only) ''' tempdir = None '''String, the temp directory used by blender (read-only) ''' background = None '''Boolean, True when blender is running without a user interface (started with -b) ''' binary_path = None '''The location of blenders executable, useful for utilities that spawn new instances ''' build_cflags = None '''C compiler flags ''' build_cxxflags = None '''C++ compiler flags ''' build_date = None '''The date this blender instance was built ''' build_linkflags = None '''Binary linking flags ''' build_options = None '''A set containing most important enabled optional build features ''' build_platform = None '''The platform this blender instance was built for ''' build_revision = None '''The subversion revision this blender instance was built with ''' build_system = None '''Build system used ''' build_time = None '''The time this blender instance was built ''' build_type = None '''The type of build (Release, Debug) ''' ffmpeg = None '''FFmpeg library information backend ''' handlers = None '''Application handler callbacks ''' translations = None '''Application and addons internationalization API ''' version = None '''The Blender version as a tuple of 3 numbers. eg. (2, 50, 11) ''' version_char = None '''The Blender version character (for minor releases) ''' version_cycle = None '''The release status of this build alpha/beta/rc/release ''' version_string = None '''The Blender version formatted as a string ''' def count(argv): '''T.count(value) -> integer -- return number of occurrences of value ''' pass def index(argv): '''T.index(value, [start, [stop]]) -> integer -- return first index of value. Raises ValueError if the value is not present. ''' pass	[ 1, 14550, 4873, 3630, 313, 29890, 2272, 29889, 932, 8443, 13, 259, 910, 3883, 3743, 2280, 1819, 393, 3933, 443, 15033, 2645, 10073, 22993, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 353, 6213, 30004, 13, 12008, 18146, 29892, 363, 4744, 5235, 313, 2962, 287, 411, 1192, 8382, 847, 1192, 8382, 24563, 9686, 445, 5352, 1024, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 29918, 13604, 353, 6213, 30004, 13, 12008, 18146, 29892, 363, 4744, 5235, 313, 2962, 287, 411, 1192, 8382, 847, 1192, 8382, 24563, 9686, 445, 5352, 1024, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 29918, 600, 20856, 353, 6213, 30004, 13, 12008, 18146, 29892, 363, 4744, 5235, 313, 2962, 287, 411, 1192, 8382, 847, 1192, 8382, 24563, 9686, 445, 5352, 1024, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 29918, 3179, 9306, 353, 6213, 30004, 13, 12008, 18146, 29892, 363, 4744, 5235, 313, 2962, 287, 411, 1192, 8382, 847, 1192, 8382, 24563, 9686, 445, 5352, 1024, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 29918, 4691, 353, 6213, 30004, 13, 12008, 18146, 29892, 363, 4744, 5235, 313, 2962, 287, 411, 1192, 8382, 847, 1192, 8382, 24563, 9686, 445, 5352, 1024, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 29918, 1767, 353, 6213, 30004, 13, 12008, 2928, 29892, 1353, 607, 508, 367, 731, 304, 1661, 29899, 9171, 1819, 363, 6724, 11976, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 29918, 29893, 29885, 353, 6213, 30004, 13, 12008, 18146, 29892, 363, 4744, 5235, 313, 2962, 287, 411, 1192, 8382, 847, 1192, 8382, 24563, 9686, 445, 5352, 1024, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 9465, 29918, 22377, 353, 6213, 30004, 13, 12008, 11513, 363, 18563, 7397, 29892, 3863, 519, 297, 29899, 6689, 29892, 10092, 373, 934, 2254, 313, 949, 29899, 6194, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 7382, 3972, 353, 6213, 30004, 13, 12008, 1231, 29892, 278, 5694, 3884, 1304, 491, 1999, 1581, 313, 949, 29899, 6194, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 7042, 353, 6213, 30004, 13, 12008, 18146, 29892, 5852, 746, 1999, 1581, 338, 2734, 1728, 263, 1404, 5067, 313, 2962, 287, 411, 448, 29890, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 19541, 29918, 2084, 353, 6213, 30004, 13, 12008, 1576, 4423, 310, 1999, 21043, 16813, 29892, 5407, 363, 3667, 1907, 393, 29178, 716, 8871, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 29883, 15764, 353, 6213, 30004, 13, 12008, 29907, 6516, 13449, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 29883, 4419, 15764, 353, 6213, 30004, 13, 12008, 29907, 1817, 6516, 13449, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 1256, 353, 6213, 30004, 13, 12008, 1576, 2635, 445, 1999, 1581, 2777, 471, 4240, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 2324, 15764, 353, 6213, 30004, 13, 12008, 25196, 25236, 13449, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 6768, 353, 6213, 30004, 13, 12008, 29909, 731, 6943, 1556, 4100, 9615, 13136, 2048, 5680, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 12120, 353, 6213, 30004, 13, 12008, 1576, 7481, 445, 1999, 1581, 2777, 471, 4240, 363, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 276, 4924, 353, 6213, 30004, 13, 12008, 1576, 1014, 3259, 26554, 445, 1999, 1581, 2777, 471, 4240, 411, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 5205, 353, 6213, 30004, 13, 12008, 8893, 1788, 1304, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 2230, 353, 6213, 30004, 13, 12008, 1576, 931, 445, 1999, 1581, 2777, 471, 4240, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 1853, 353, 6213, 30004, 13, 12008, 1576, 1134, 310, 2048, 313, 19729, 29892, 16171, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 600, 20856, 353, 6213, 30004, 13, 12008, 4198, 20856, 3489, 2472, 14998, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 3179, 9306, 353, 6213, 30004, 13, 12008, 4873, 7834, 6939, 29879, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 3286, 29880, 800, 353, 6213, 30004, 13, 12008, 4873, 322, 788, 787, 6121, 2133, 3450, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 3259, 353, 6213, 30004, 13, 12008, 1576, 3164, 1581, 1873, 408, 263, 18761, 310, 29871, 29941, 3694, 29889, 8087, 29889, 313, 29906, 29892, 29871, 29945, 29900, 29892, 29871, 29896, 29896, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 3259, 29918, 3090, 353, 6213, 30004, 13, 12008, 1576, 3164, 1581, 1873, 2931, 313, 1454, 9461, 27474, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 3259, 29918, 23090, 353, 6213, 30004, 13, 12008, 1576, 6507, 4660, 310, 445, 2048, 15595, 29914, 3571, 29914, 2214, 29914, 14096, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 3259, 29918, 1807, 353, 6213, 30004, 13, 12008, 1576, 3164, 1581, 1873, 20917, 408, 263, 1347, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 1753, 2302, 10456, 19218, 1125, 30004, 13, 259, 14550, 29911, 29889, 2798, 29898, 1767, 29897, 1599, 6043, 1192, 736, 1353, 310, 13920, 2063, 310, 995, 30004, 13, 418, 6756, 13, 259, 14550, 30004, 13, 30004, 13, 259, 1209, 30004, 13, 30004, 13, 1753, 2380, 10456, 19218, 1125, 30004, 13, 259, 14550, 29911, 29889, 2248, 29898, 1767, 29892, 518, 2962, 29892, 518, 9847, 24960, 1599, 6043, 1192, 736, 937, 2380, 310, 995, 22993, 13, 418, 390, 1759, 267, 7865, 2392, 565, 278, 995, 338, 451, 2198, 22993, 13, 418, 6756, 13, 259, 14550, 30004, 13, 30004, 13, 259, 1209, 30004, 13, 30004, 13, 2 ]
dplace_app/load/util.py	Lumilam/D-Place	0	101555	# coding: utf8 from __future__ import unicode_literals import csv import logging from six import BytesIO from django.db import connection DATASET_SHORT = {'Binford': 'B'} def delete_all(model): model.objects.all().delete() with connection.cursor() as c: c.execute( "ALTER SEQUENCE %s_id_seq RESTART WITH 1" % model._meta.db_table ) def var_number_to_label(dataset, number): return "{0}{1:0>3}".format(DATASET_SHORT.get(dataset, dataset), number) def configure_logging(test=False): logger = logging.getLogger() logger.setLevel(logging.CRITICAL if test else logging.INFO) # file load.log gets everything fh = logging.FileHandler('load.log') fh.setLevel(logging.CRITICAL if test else logging.INFO) # create console handler with a higher log level ch = logging.StreamHandler() ch.setLevel(logging.CRITICAL if test else logging.WARN) # create formatter and add it to the handlers formatter = logging.Formatter('%(levelname)s:%(message)s') fh.setFormatter(formatter) ch.setFormatter(formatter) # add the handlers to the logger logger.addHandler(fh) logger.addHandler(ch) def stream(fname): with open(fname, 'rb') as fp: stream_ = BytesIO(fp.read()) stream_.seek(0) return stream_ def csv_reader(fname): for row in csv.reader(stream(fname)): yield [ col if col is None else col.decode('utf8').strip() for col in row ] def csv_dict_reader(fname): for dict_row in csv.DictReader(stream(fname)): for k in dict_row: if dict_row[k] is None: continue try: dict_row[k] = dict_row[k].decode('utf8').strip() except: logging.warn('cannot decode row item %s in %s' % (k, dict_row)) yield dict_row	[ 1, 396, 14137, 29901, 23616, 29947, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 5215, 11799, 13, 5215, 12183, 13, 13, 3166, 4832, 1053, 2648, 2167, 5971, 13, 3166, 9557, 29889, 2585, 1053, 3957, 13, 13, 13, 25832, 8127, 29911, 29918, 7068, 8476, 353, 11117, 29933, 262, 4006, 2396, 525, 29933, 10827, 13, 13, 13, 1753, 5217, 29918, 497, 29898, 4299, 1125, 13, 1678, 1904, 29889, 12650, 29889, 497, 2141, 8143, 580, 13, 1678, 411, 3957, 29889, 18127, 580, 408, 274, 29901, 13, 4706, 274, 29889, 7978, 29898, 13, 9651, 376, 1964, 4945, 3725, 13356, 1430, 4741, 1273, 29879, 29918, 333, 29918, 11762, 16759, 8322, 22659, 29871, 29896, 29908, 1273, 1904, 3032, 7299, 29889, 2585, 29918, 2371, 13, 4706, 1723, 13, 13, 13, 1753, 722, 29918, 4537, 29918, 517, 29918, 1643, 29898, 24713, 29892, 1353, 1125, 13, 1678, 736, 29850, 29900, 1157, 29896, 29901, 29900, 29958, 29941, 29913, 1642, 4830, 29898, 25832, 8127, 29911, 29918, 7068, 8476, 29889, 657, 29898, 24713, 29892, 8783, 511, 1353, 29897, 13, 13, 13, 1753, 10822, 29918, 21027, 29898, 1688, 29922, 8824, 1125, 13, 1678, 17927, 353, 12183, 29889, 657, 16363, 580, 13, 1678, 17927, 29889, 842, 10108, 29898, 21027, 29889, 11341, 1806, 2965, 1964, 565, 1243, 1683, 12183, 29889, 11690, 29897, 13, 1678, 396, 934, 2254, 29889, 1188, 4947, 4129, 13, 1678, 285, 29882, 353, 12183, 29889, 2283, 4598, 877, 1359, 29889, 1188, 1495, 13, 1678, 285, 29882, 29889, 842, 10108, 29898, 21027, 29889, 11341, 1806, 2965, 1964, 565, 1243, 1683, 12183, 29889, 11690, 29897, 13, 1678, 396, 1653, 2991, 7834, 411, 263, 6133, 1480, 3233, 13, 1678, 521, 353, 12183, 29889, 3835, 4598, 580, 13, 1678, 521, 29889, 842, 10108, 29898, 21027, 29889, 11341, 1806, 2965, 1964, 565, 1243, 1683, 12183, 29889, 29956, 15249, 29897, 13, 1678, 396, 1653, 883, 2620, 322, 788, 372, 304, 278, 25795, 13, 1678, 883, 2620, 353, 12183, 29889, 18522, 877, 29995, 29898, 5563, 978, 29897, 29879, 16664, 29898, 4906, 29897, 29879, 1495, 13, 1678, 285, 29882, 29889, 842, 18522, 29898, 689, 2620, 29897, 13, 1678, 521, 29889, 842, 18522, 29898, 689, 2620, 29897, 13, 1678, 396, 788, 278, 25795, 304, 278, 17927, 13, 1678, 17927, 29889, 1202, 4598, 29898, 29888, 29882, 29897, 13, 1678, 17927, 29889, 1202, 4598, 29898, 305, 29897, 13, 13, 13, 1753, 4840, 29898, 29888, 978, 1125, 13, 1678, 411, 1722, 29898, 29888, 978, 29892, 525, 6050, 1495, 408, 285, 29886, 29901, 13, 4706, 4840, 29918, 353, 2648, 2167, 5971, 29898, 18091, 29889, 949, 3101, 13, 4706, 4840, 5396, 344, 1416, 29898, 29900, 29897, 13, 4706, 736, 4840, 29918, 13, 13, 13, 1753, 11799, 29918, 16950, 29898, 29888, 978, 1125, 13, 1678, 363, 1948, 297, 11799, 29889, 16950, 29898, 5461, 29898, 29888, 978, 22164, 13, 4706, 7709, 518, 13, 9651, 784, 565, 784, 338, 6213, 1683, 784, 29889, 13808, 877, 9420, 29947, 2824, 17010, 580, 363, 784, 297, 1948, 13, 4706, 4514, 13, 13, 13, 1753, 11799, 29918, 8977, 29918, 16950, 29898, 29888, 978, 1125, 13, 1678, 363, 9657, 29918, 798, 297, 11799, 29889, 21533, 6982, 29898, 5461, 29898, 29888, 978, 22164, 13, 4706, 363, 413, 297, 9657, 29918, 798, 29901, 13, 9651, 565, 9657, 29918, 798, 29961, 29895, 29962, 338, 6213, 29901, 13, 18884, 6773, 13, 9651, 1018, 29901, 13, 18884, 9657, 29918, 798, 29961, 29895, 29962, 353, 9657, 29918, 798, 29961, 29895, 1822, 13808, 877, 9420, 29947, 2824, 17010, 580, 13, 9651, 5174, 29901, 13, 18884, 12183, 29889, 25442, 877, 29883, 6735, 21822, 1948, 2944, 1273, 29879, 297, 1273, 29879, 29915, 1273, 313, 29895, 29892, 9657, 29918, 798, 876, 13, 4706, 7709, 9657, 29918, 798, 13, 2 ]
civis_jupyter_notebooks/platform_persistence.py	menglewis/civis-jupyter-notebook	0	19993	<gh_stars>0 """ This file contains utilities that bind the Jupyter notebook to our platform. It performs two functions: 1. On startup, pull the contents of the notebook from platform to the local disk 2. As a Jupyter post-save hook, push the contents of the notebook and a HTML preview of the same back to platform. 3. Custom Error class for when a Notebook does not correctly initialize """ import civis import nbformat import os import sys import subprocess import requests from io import open from subprocess import check_call from subprocess import CalledProcessError from civis_jupyter_notebooks import log_utils def initialize_notebook_from_platform(notebook_path): """ This runs on startup to initialize the notebook """ logger.info('Retrieving notebook information from Platform') client = get_client() notebook_model = client.notebooks.get(os.environ['PLATFORM_OBJECT_ID']) logger.info('Pulling contents of notebook file from S3') r = requests.get(notebook_model.notebook_url) if r.status_code != 200: raise NotebookManagementError('Failed to pull down notebook file from S3') notebook = nbformat.reads(r.content, nbformat.NO_CONVERT) s3_notebook_new = notebook.get('metadata', {}).get('civis', {}).get('new_notebook', False) if s3_notebook_new: notebook.metadata.pop('civis') # Only overwrite the git version of the notebook with the S3 version if # the S3 version is not the brand new empty template git_notebook_exists = os.path.isfile(notebook_path) if not git_notebook_exists or not s3_notebook_new: logger.info('Restoring notebook file from S3') directory = os.path.dirname(notebook_path) if not os.path.exists(directory): os.makedirs(directory) with open(notebook_path, mode='w', encoding='utf-8') as nb_file: nbformat.write(notebook, nb_file) logger.info('Notebook file ready') if hasattr(notebook_model, 'requirements_url') and notebook_model.requirements_url: __pull_and_load_requirements(notebook_model.requirements_url, notebook_path) def __pull_and_load_requirements(url, notebook_path): logger.info('Pulling down the requirements file') r = requests.get(url) if r.status_code != 200: raise NotebookManagementError('Failed to pull down requirements.txt file from S3') logger.info('Writing contents of requirements file') requirements_path = os.path.join(os.path.dirname(notebook_path), 'requirements.txt') with open(requirements_path, 'wb') as requirements: requirements.write(r.content) logger.info('Requirements file ready') def find_and_install_requirements(requirements_path): while os.path.isdir(requirements_path) and requirements_path != '/root': requirements_file = os.path.join(requirements_path, 'requirements.txt') logger.info('Looking for requirements at %s' % requirements_file) if not os.path.isfile(requirements_file): requirements_path = os.path.dirname(requirements_path) continue pip_install(requirements_file) break def pip_install(requirements_file): logger.info('Installing packages from %s' % requirements_file) try: subprocess.check_output( [sys.executable, '-m', 'pip', 'install', '-r', requirements_file], stderr=subprocess.STDOUT ) logger.info('Installed requirements.txt') except subprocess.CalledProcessError as e: raise NotebookManagementError(e.output.decode("utf-8")) def post_save(model, os_path, contents_manager): """ Called from Jupyter post-save hook. Manages save of NB """ if model['type'] != 'notebook': return logger.info('Getting URLs to update notebook') update_url, update_preview_url = get_update_urls() save_notebook(update_url, os_path) generate_and_save_preview(update_preview_url, os_path) logger.info('Notebook save complete') def get_update_urls(): """ Get the URLs needed to update the NB. These URLs expire after a few minutes so do not cache them """ client = get_client() urls = client.notebooks.list_update_links(os.environ['PLATFORM_OBJECT_ID']) return (urls.update_url, urls.update_preview_url) def save_notebook(url, os_path): """ Push raw notebook to S3 """ with open(os_path, 'rb') as nb_file: logger.info('Pushing latest notebook file to S3') requests.put(url, data=nb_file.read()) logger.info('Notebook file updated') def generate_and_save_preview(url, os_path): """ Render NB-as-HTML and push that file to S3 """ d, fname = os.path.split(os_path) logger.info('Rendering notebook to HTML') try: check_call(['jupyter', 'nbconvert', '--to', 'html', fname], cwd=d) except CalledProcessError as e: raise NotebookManagementError('nbconvert failed to convert notebook file to html: {}'.format(repr(e))) preview_path = os.path.splitext(os_path)[0] + '.html' with open(preview_path, 'rb') as preview_file: logger.info('Pushing latest notebook preview to S3') requests.put(url, data=preview_file.read()) logger.info('Notebook preview updated') def get_client(): """ This gets a client that knows about our notebook endpoints """ # TODO: Simplify this once the notebooks endpoints are in the client return civis.APIClient(resources='all') class NotebookManagementError(Exception): ''' raised whenever we hit an error trying to move notebook data between our notebook and platform ''' logger = log_utils.setup_stream_logging()	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 15945, 29908, 13, 29871, 910, 934, 3743, 3667, 1907, 393, 7868, 278, 27441, 25547, 451, 19273, 304, 1749, 7481, 29889, 13, 29871, 739, 23233, 1023, 3168, 29901, 13, 259, 29896, 29889, 1551, 20234, 29892, 8206, 278, 8118, 310, 278, 451, 19273, 515, 7481, 304, 278, 1887, 8086, 13, 259, 29906, 29889, 1094, 263, 27441, 25547, 1400, 29899, 7620, 12422, 29892, 5503, 278, 8118, 310, 278, 451, 19273, 322, 263, 4544, 25267, 310, 278, 1021, 1250, 304, 7481, 29889, 13, 259, 29941, 29889, 8701, 4829, 770, 363, 746, 263, 2216, 19273, 947, 451, 5149, 11905, 13, 15945, 29908, 13, 5215, 14175, 275, 13, 5215, 302, 29890, 4830, 13, 5215, 2897, 13, 5215, 10876, 13, 5215, 1014, 5014, 13, 5215, 7274, 13, 3166, 12013, 1053, 1722, 13, 3166, 1014, 5014, 1053, 1423, 29918, 4804, 13, 3166, 1014, 5014, 1053, 3037, 839, 7032, 2392, 13, 3166, 14175, 275, 29918, 29926, 786, 25547, 29918, 1333, 19273, 29879, 1053, 1480, 29918, 13239, 13, 13, 13, 1753, 11905, 29918, 1333, 19273, 29918, 3166, 29918, 12120, 29898, 1333, 19273, 29918, 2084, 1125, 13, 1678, 9995, 910, 6057, 373, 20234, 304, 11905, 278, 451, 19273, 9995, 13, 1678, 17927, 29889, 3888, 877, 8015, 2546, 1747, 451, 19273, 2472, 515, 28096, 1495, 13, 1678, 3132, 353, 679, 29918, 4645, 580, 13, 1678, 451, 19273, 29918, 4299, 353, 3132, 29889, 1333, 19273, 29879, 29889, 657, 29898, 359, 29889, 21813, 1839, 7390, 1299, 19094, 29918, 14824, 17637, 29918, 1367, 11287, 13, 13, 1678, 17927, 29889, 3888, 877, 29925, 913, 292, 8118, 310, 451, 19273, 934, 515, 317, 29941, 1495, 13, 1678, 364, 353, 7274, 29889, 657, 29898, 1333, 19273, 29918, 4299, 29889, 1333, 19273, 29918, 2271, 29897, 13, 1678, 565, 364, 29889, 4882, 29918, 401, 2804, 29871, 29906, 29900, 29900, 29901, 13, 4706, 12020, 2216, 19273, 27107, 2392, 877, 17776, 304, 8206, 1623, 451, 19273, 934, 515, 317, 29941, 1495, 13, 1678, 451, 19273, 353, 302, 29890, 4830, 29889, 949, 29879, 29898, 29878, 29889, 3051, 29892, 302, 29890, 4830, 29889, 6632, 29918, 6007, 5348, 29911, 29897, 13, 13, 1678, 269, 29941, 29918, 1333, 19273, 29918, 1482, 353, 451, 19273, 29889, 657, 877, 19635, 742, 6571, 467, 657, 877, 29883, 440, 275, 742, 6571, 467, 657, 877, 1482, 29918, 1333, 19273, 742, 7700, 29897, 13, 1678, 565, 269, 29941, 29918, 1333, 19273, 29918, 1482, 29901, 13, 4706, 451, 19273, 29889, 19635, 29889, 7323, 877, 29883, 440, 275, 1495, 13, 13, 1678, 396, 9333, 26556, 278, 6315, 1873, 310, 278, 451, 19273, 411, 278, 317, 29941, 1873, 565, 13, 1678, 396, 278, 317, 29941, 1873, 338, 451, 278, 14982, 716, 4069, 4472, 13, 1678, 6315, 29918, 1333, 19273, 29918, 9933, 353, 2897, 29889, 2084, 29889, 275, 1445, 29898, 1333, 19273, 29918, 2084, 29897, 13, 1678, 565, 451, 6315, 29918, 1333, 19273, 29918, 9933, 470, 451, 269, 29941, 29918, 1333, 19273, 29918, 1482, 29901, 13, 4706, 17927, 29889, 3888, 877, 15078, 8253, 451, 19273, 934, 515, 317, 29941, 1495, 13, 4706, 3884, 353, 2897, 29889, 2084, 29889, 25721, 29898, 1333, 19273, 29918, 2084, 29897, 13, 4706, 565, 451, 2897, 29889, 2084, 29889, 9933, 29898, 12322, 1125, 13, 9651, 2897, 29889, 29885, 12535, 12935, 29898, 12322, 29897, 13, 13, 4706, 411, 1722, 29898, 1333, 19273, 29918, 2084, 29892, 4464, 2433, 29893, 742, 8025, 2433, 9420, 29899, 29947, 1495, 408, 302, 29890, 29918, 1445, 29901, 13, 9651, 302, 29890, 4830, 29889, 3539, 29898, 1333, 19273, 29892, 302, 29890, 29918, 1445, 29897, 13, 13, 1678, 17927, 29889, 3888, 877, 3664, 19273, 934, 7960, 1495, 13, 13, 1678, 565, 756, 5552, 29898, 1333, 19273, 29918, 4299, 29892, 525, 12277, 1860, 29918, 2271, 1495, 322, 451, 19273, 29918, 4299, 29889, 12277, 1860, 29918, 2271, 29901, 13, 4706, 4770, 26746, 29918, 392, 29918, 1359, 29918, 12277, 1860, 29898, 1333, 19273, 29918, 4299, 29889, 12277, 1860, 29918, 2271, 29892, 451, 19273, 29918, 2084, 29897, 13, 13, 13, 1753, 4770, 26746, 29918, 392, 29918, 1359, 29918, 12277, 1860, 29898, 2271, 29892, 451, 19273, 29918, 2084, 1125, 13, 1678, 17927, 29889, 3888, 877, 29925, 913, 292, 1623, 278, 11780, 934, 1495, 13, 1678, 364, 353, 7274, 29889, 657, 29898, 2271, 29897, 13, 13, 1678, 565, 364, 29889, 4882, 29918, 401, 2804, 29871, 29906, 29900, 29900, 29901, 13, 4706, 12020, 2216, 19273, 27107, 2392, 877, 17776, 304, 8206, 1623, 11780, 29889, 3945, 934, 515, 317, 29941, 1495, 13, 13, 1678, 17927, 29889, 3888, 877, 29956, 768, 292, 8118, 310, 11780, 934, 1495, 13, 1678, 11780, 29918, 2084, 353, 2897, 29889, 2084, 29889, 7122, 29898, 359, 29889, 2084, 29889, 25721, 29898, 1333, 19273, 29918, 2084, 511, 525, 12277, 1860, 29889, 3945, 1495, 13, 1678, 411, 1722, 29898, 12277, 1860, 29918, 2084, 29892, 525, 29893, 29890, 1495, 408, 11780, 29901, 13, 4706, 11780, 29889, 3539, 29898, 29878, 29889, 3051, 29897, 13, 13, 1678, 17927, 29889, 3888, 877, 1123, 1548, 1860, 934, 7960, 1495, 13, 13, 13, 1753, 1284, 29918, 392, 29918, 6252, 29918, 12277, 1860, 29898, 12277, 1860, 29918, 2084, 1125, 13, 1678, 1550, 2897, 29889, 2084, 29889, 275, 3972, 29898, 12277, 1860, 29918, 2084, 29897, 322, 11780, 29918, 2084, 2804, 8207, 4632, 2396, 13, 4706, 11780, 29918, 1445, 353, 2897, 29889, 2084, 29889, 7122, 29898, 12277, 1860, 29918, 2084, 29892, 525, 12277, 1860, 29889, 3945, 1495, 13, 4706, 17927, 29889, 3888, 877, 14959, 292, 363, 11780, 472, 1273, 29879, 29915, 1273, 11780, 29918, 1445, 29897, 13, 4706, 565, 451, 2897, 29889, 2084, 29889, 275, 1445, 29898, 12277, 1860, 29918, 1445, 1125, 13, 9651, 11780, 29918, 2084, 353, 2897, 29889, 2084, 29889, 25721, 29898, 12277, 1860, 29918, 2084, 29897, 13, 9651, 6773, 13, 13, 4706, 8450, 29918, 6252, 29898, 12277, 1860, 29918, 1445, 29897, 13, 4706, 2867, 13, 13, 13, 1753, 8450, 29918, 6252, 29898, 12277, 1860, 29918, 1445, 1125, 13, 1678, 17927, 29889, 3888, 877, 23271, 292, 9741, 515, 1273, 29879, 29915, 1273, 11780, 29918, 1445, 29897, 13, 1678, 1018, 29901, 13, 4706, 1014, 5014, 29889, 3198, 29918, 4905, 29898, 13, 18884, 518, 9675, 29889, 4258, 9246, 29892, 17411, 29885, 742, 525, 13096, 742, 525, 6252, 742, 17411, 29878, 742, 11780, 29918, 1445, 1402, 13, 18884, 380, 20405, 29922, 1491, 5014, 29889, 1254, 3970, 2692, 13, 18884, 1723, 13, 4706, 17927, 29889, 3888, 877, 3379, 4212, 11780, 29889, 3945, 1495, 13, 1678, 5174, 1014, 5014, 29889, 29907, 4212, 7032, 2392, 408, 321, 29901, 13, 4706, 12020, 2216, 19273, 27107, 2392, 29898, 29872, 29889, 4905, 29889, 13808, 703, 9420, 29899, 29947, 5783, 13, 13, 13, 1753, 1400, 29918, 7620, 29898, 4299, 29892, 2897, 29918, 2084, 29892, 8118, 29918, 12847, 1125, 13, 1678, 9995, 3037, 839, 515, 27441, 25547, 1400, 29899, 7620, 12422, 29889, 2315, 1179, 4078, 310, 405, 29933, 9995, 13, 13, 1678, 565, 1904, 1839, 1853, 2033, 2804, 525, 1333, 19273, 2396, 13, 4706, 736, 13, 1678, 17927, 29889, 3888, 877, 2577, 1259, 24295, 304, 2767, 451, 19273, 1495, 13, 1678, 2767, 29918, 2271, 29892, 2767, 29918, 25347, 29918, 2271, 353, 679, 29918, 5504, 29918, 26045, 580, 13, 1678, 4078, 29918, 1333, 19273, 29898, 5504, 29918, 2271, 29892, 2897, 29918, 2084, 29897, 13, 1678, 5706, 29918, 392, 29918, 7620, 29918, 25347, 29898, 5504, 29918, 25347, 29918, 2271, 29892, 2897, 29918, 2084, 29897, 13, 1678, 17927, 29889, 3888, 877, 3664, 19273, 4078, 4866, 1495, 13, 13, 13, 1753, 679, 29918, 5504, 29918, 26045, 7295, 13, 1678, 9995, 13, 418, 3617, 278, 24295, 4312, 304, 2767, 278, 405, 29933, 29889, 13, 418, 4525, 24295, 1518, 533, 1156, 263, 2846, 6233, 577, 437, 451, 7090, 963, 13, 1678, 9995, 13, 13, 1678, 3132, 353, 679, 29918, 4645, 580, 13, 1678, 23942, 353, 3132, 29889, 1333, 19273, 29879, 29889, 1761, 29918, 5504, 29918, 4965, 29898, 359, 29889, 21813, 1839, 7390, 1299, 19094, 29918, 14824, 17637, 29918, 1367, 11287, 13, 1678, 736, 313, 26045, 29889, 5504, 29918, 2271, 29892, 23942, 29889, 5504, 29918, 25347, 29918, 2271, 29897, 13, 13, 13, 1753, 4078, 29918, 1333, 19273, 29898, 2271, 29892, 2897, 29918, 2084, 1125, 13, 1678, 9995, 349, 1878, 10650, 451, 19273, 304, 317, 29941, 9995, 13, 1678, 411, 1722, 29898, 359, 29918, 2084, 29892, 525, 6050, 1495, 408, 302, 29890, 29918, 1445, 29901, 13, 4706, 17927, 29889, 3888, 877, 29925, 21616, 9281, 451, 19273, 934, 304, 317, 29941, 1495, 13, 4706, 7274, 29889, 649, 29898, 2271, 29892, 848, 29922, 9877, 29918, 1445, 29889, 949, 3101, 13, 4706, 17927, 29889, 3888, 877, 3664, 19273, 934, 4784, 1495, 13, 13, 13, 1753, 5706, 29918, 392, 29918, 7620, 29918, 25347, 29898, 2271, 29892, 2897, 29918, 2084, 1125, 13, 1678, 9995, 26000, 405, 29933, 29899, 294, 29899, 7020, 322, 5503, 393, 934, 304, 317, 29941, 9995, 13, 1678, 270, 29892, 285, 978, 353, 2897, 29889, 2084, 29889, 5451, 29898, 359, 29918, 2084, 29897, 13, 1678, 17927, 29889, 3888, 877, 10716, 292, 451, 19273, 304, 4544, 1495, 13, 1678, 1018, 29901, 13, 4706, 1423, 29918, 4804, 18959, 29926, 786, 25547, 742, 525, 9877, 13441, 742, 525, 489, 517, 742, 525, 1420, 742, 285, 978, 1402, 274, 9970, 29922, 29881, 29897, 13, 1678, 5174, 3037, 839, 7032, 2392, 408, 321, 29901, 13, 4706, 12020, 2216, 19273, 27107, 2392, 877, 9877, 13441, 5229, 304, 3588, 451, 19273, 934, 304, 3472, 29901, 6571, 4286, 4830, 29898, 276, 558, 29898, 29872, 4961, 13, 13, 1678, 25267, 29918, 2084, 353, 2897, 29889, 2084, 29889, 23579, 568, 486, 29898, 359, 29918, 2084, 9601, 29900, 29962, 718, 15300, 1420, 29915, 13, 1678, 411, 1722, 29898, 25347, 29918, 2084, 29892, 525, 6050, 1495, 408, 25267, 29918, 1445, 29901, 13, 4706, 17927, 29889, 3888, 877, 29925, 21616, 9281, 451, 19273, 25267, 304, 317, 29941, 1495, 13, 4706, 7274, 29889, 649, 29898, 2271, 29892, 848, 29922, 25347, 29918, 1445, 29889, 949, 3101, 13, 4706, 17927, 29889, 3888, 877, 3664, 19273, 25267, 4784, 1495, 13, 13, 13, 1753, 679, 29918, 4645, 7295, 13, 1678, 9995, 910, 4947, 263, 3132, 393, 9906, 1048, 1749, 451, 19273, 1095, 9748, 9995, 13, 13, 1678, 396, 14402, 29901, 3439, 572, 1598, 445, 2748, 278, 451, 19273, 29879, 1095, 9748, 526, 297, 278, 3132, 13, 1678, 736, 14175, 275, 29889, 8787, 4032, 29898, 13237, 2433, 497, 1495, 13, 13, 13, 1990, 2216, 19273, 27107, 2392, 29898, 2451, 1125, 13, 1678, 14550, 13, 1678, 10425, 10940, 591, 7124, 385, 1059, 1811, 304, 4337, 13, 1678, 451, 19273, 848, 1546, 1749, 451, 19273, 322, 7481, 13, 1678, 14550, 13, 13, 13, 21707, 353, 1480, 29918, 13239, 29889, 14669, 29918, 5461, 29918, 21027, 580, 13, 2 ]
club/urls.py	reddevilcero/SchoolWeb	0	1607277	<reponame>reddevilcero/SchoolWeb<filename>club/urls.py from django.urls import path from .views import ClubListView, ClubDetailView urlpatterns = [ path('', ClubListView.as_view(), name='club'), path('<int:pk>/<slug:page_slug>/', ClubDetailView.as_view(), name='club_details'), ]	[ 1, 529, 276, 1112, 420, 29958, 1127, 3359, 309, 29883, 1489, 29914, 4504, 1507, 3609, 29966, 9507, 29958, 29066, 29914, 26045, 29889, 2272, 13, 3166, 9557, 29889, 26045, 1053, 2224, 13, 3166, 869, 7406, 1053, 5977, 15660, 29892, 5977, 16570, 1043, 13, 13, 2271, 11037, 29879, 353, 518, 13, 1678, 2224, 877, 742, 5977, 15660, 29889, 294, 29918, 1493, 3285, 1024, 2433, 29066, 5477, 13, 1678, 2224, 877, 29966, 524, 29901, 20571, 20690, 29966, 29517, 29901, 3488, 29918, 29517, 20690, 742, 5977, 16570, 1043, 29889, 294, 29918, 1493, 3285, 13, 308, 1024, 2433, 29066, 29918, 14144, 5477, 13, 1678, 4514, 13, 2 ]
nq_eval_yorko.py	Yorko/natural-questions	1	63740	# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. r"""Evaluation script for TensorFlow 2.0 Question Answering, adapted by yorko from nq_eval, Natural Questions https://ai.google.com/research/NaturalQuestions https://www.kaggle.com/c/tensorflow2-question-answering/ ------------------------------------------------------------------------------ Example usage: nq_eval_yorko --gold_path=<path-to-gold-files> --predictions_path=<path_to_json> This will compute both the official F1 scores as well as recall@precision tables for both long and short answers. Note that R@P are only meaningful if your model populates the score fields of the prediction JSON format. gold_path should point to the five way annotated dev data in the original download format (gzipped jsonlines). predictions_path should point to a json file containing the predictions in the format given below. ------------------------------------------------------------------------------ Prediction format: {'predictions': [ { 'example_id': -2226525965842375672, 'long_answer': { 'start_byte': 62657, 'end_byte': 64776, 'start_token': 391, 'end_token': 604 }, 'long_answer_score': 13.5, 'short_answers': [ {'start_byte': 64206, 'end_byte': 64280, 'start_token': 555, 'end_token': 560}, ...], 'short_answers_score': 26.4, 'yes_no_answer': 'NONE' }, ... ] } """ from collections import OrderedDict from absl import app from absl import flags import eval_utils as util flags.DEFINE_string( 'gold_path', None, 'Path to the gzip JSON data. For ' 'multiple files, should be a glob ' 'pattern (e.g. "/path/to/files-"') flags.DEFINE_string('predictions_path', None, 'Path to prediction JSON.') flags.DEFINE_integer('num_threads', 10, 'Number of threads for reading.') flags.DEFINE_float('score_thres_long', -100, 'Score threshold for long answers') flags.DEFINE_float('score_thres_short', -100, 'Score threshold for short answers') FLAGS = flags.FLAGS def safe_divide(x, y): """Compute x / y, but return 0 if y is zero.""" if y == 0: return 0 else: return x / y def score_long_answer(gold_label_list, pred_label, score_thres): """Scores a long answer as correct or not. 1) First decide if there is a gold long answer with LONG_NO_NULL_THRESHOLD. 2) The prediction will get a match if: a. There is a gold long answer. b. The prediction span match exactly with one* of the non-null gold long answer span. Args: gold_label_list: A list of NQLabel, could be None. pred_label: A single NQLabel, could be None. score_thres; score threshold Returns: gold_has_answer, pred_has_answer, is_correct, score """ gold_has_answer = util.gold_has_long_answer(gold_label_list) is_correct = False score = pred_label.long_score pred_has_answer = pred_label and ( not pred_label.long_answer_span.is_null_span()) and score >= score_thres # Both sides are non-null spans. if gold_has_answer and pred_has_answer: for gold_label in gold_label_list: # while the voting results indicate there is an long answer, each # annotator might still say there is no long answer. if gold_label.long_answer_span.is_null_span(): continue if util.nonnull_span_equal(gold_label.long_answer_span, pred_label.long_answer_span): is_correct = True break return gold_has_answer, pred_has_answer, is_correct, score def score_short_answer(gold_label_list, pred_label, score_thres): """Scores a short answer as correct or not. 1) First decide if there is a gold short answer with SHORT_NO_NULL_THRESHOLD. 2) The prediction will get a match if: a. There is a gold short answer. b. The prediction span set match exactly with one of the non-null gold short answer span set. Args: gold_label_list: A list of NQLabel. pred_label: A single NQLabel. score_thres: score threshold Returns: gold_has_answer, pred_has_answer, is_correct, score """ # There is a gold short answer if gold_label_list not empty and non null # answers is over the threshold (sum over annotators). gold_has_answer = util.gold_has_short_answer(gold_label_list) is_correct = False score = pred_label.short_score # There is a pred long answer if pred_label is not empty and short answer # set is not empty. pred_has_answer = pred_label and ( (not util.is_null_span_list(pred_label.short_answer_span_list)) or pred_label.yes_no_answer != 'none') and score >= score_thres # Both sides have short answers, which contains yes/no questions. if gold_has_answer and pred_has_answer: if pred_label.yes_no_answer != 'none': # System thinks its y/n questions. for gold_label in gold_label_list: if pred_label.yes_no_answer == gold_label.yes_no_answer: is_correct = True break else: for gold_label in gold_label_list: if util.span_set_equal(gold_label.short_answer_span_list, pred_label.short_answer_span_list): is_correct = True break return gold_has_answer, pred_has_answer, is_correct, score def score_answers(gold_annotation_dict, pred_dict, score_thres_long, score_thres_short): """Scores all answers for all documents. Args: gold_annotation_dict: a dict from example id to list of NQLabels. pred_dict: a dict from example id to list of NQLabels. score_thres_long: score threshold for long answers score_thres_short: score threshold for short answers Returns: long_answer_stats: List of scores for long answers. short_answer_stats: List of scores for short answers. """ gold_id_set = set(gold_annotation_dict.keys()) pred_id_set = set(pred_dict.keys()) if gold_id_set.symmetric_difference(pred_id_set): raise ValueError('ERROR: the example ids in gold annotations and example ' 'ids in the prediction are not equal.') long_answer_stats = [] short_answer_stats = [] for example_id in gold_id_set: gold = gold_annotation_dict[example_id] pred = pred_dict[example_id] long_answer_stats.append(score_long_answer(gold, pred, score_thres_long)) short_answer_stats.append(score_short_answer(gold, pred, score_thres_short)) # use the 'score' column, which is last long_answer_stats.sort(key=lambda x: x[-1], reverse=True) short_answer_stats.sort(key=lambda x: x[-1], reverse=True) return long_answer_stats, short_answer_stats def compute_f1(answer_stats, prefix=''): """Computes F1, precision, recall for a list of answer scores. Args: answer_stats: List of per-example scores. prefix (''): Prefix to prepend to score dictionary. Returns: Dictionary mapping string names to scores. """ has_gold, has_pred, is_correct, _ = list(zip(answer_stats)) precision = safe_divide(sum(is_correct), sum(has_pred)) recall = safe_divide(sum(is_correct), sum(has_gold)) f1 = safe_divide(2 precision * recall, precision + recall) return OrderedDict({ prefix + 'n': len(answer_stats), prefix + 'f1': f1, prefix + 'precision': precision, prefix + 'recall': recall }) def compute_final_f1(long_answer_stats, short_answer_stats): """Computes overall F1 given long and short answers, ignoring scores. Note: this assumes that the answers have been thresholded. Arguments: long_answer_stats: List of long answer scores. short_answer_stats: List of short answer scores. Returns: Dictionary of name (string) -> score. """ scores = compute_f1(long_answer_stats, prefix='long-answer-') scores.update(compute_f1(short_answer_stats, prefix='short-answer-')) scores.update(compute_f1(long_answer_stats + short_answer_stats, prefix='all-answer-')) return scores def main(_): nq_gold_dict = util.read_annotation(FLAGS.gold_path, n_threads=FLAGS.num_threads) nq_pred_dict = util.read_prediction_json(FLAGS.predictions_path) long_answer_stats, short_answer_stats = score_answers(nq_gold_dict, nq_pred_dict, score_thres_long=FLAGS.score_thres_long, score_thres_short=FLAGS.score_thres_short) # reporting results print('' 20) scores = compute_final_f1(long_answer_stats, short_answer_stats) print('' 20) print('SCORES (n={}):'.format( scores['long-answer-n'])) print(' F1 / P / R') print('Long answer {: >7.2%} / {: >7.2%} / {: >7.2%}'.format( scores['long-answer-f1'], scores['long-answer-precision'], scores['long-answer-recall'])) print('Short answer {: >7.2%} / {: >7.2%} / {: >7.2%}'.format( scores['short-answer-f1'], scores['short-answer-precision'], scores['short-answer-recall'])) print('All answers {: >7.2%} / {: >7.2%} / {: >7.2%}'.format( scores['all-answer-f1'], scores['all-answer-precision'], scores['all-answer-recall'])) if __name__ == '__main__': flags.mark_flag_as_required('gold_path') flags.mark_flag_as_required('predictions_path') app.run(main)	[ 1, 396, 14137, 29922, 9420, 29899, 29947, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29896, 29947, 450, 5087, 319, 29902, 17088, 8583, 13189, 943, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 268, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 29878, 15945, 29908, 29923, 4387, 362, 2471, 363, 323, 6073, 17907, 29871, 29906, 29889, 29900, 894, 673, 292, 29892, 13, 1678, 23430, 491, 343, 548, 29877, 515, 302, 29939, 29918, 14513, 29892, 18385, 894, 29879, 13, 13, 29871, 2045, 597, 1794, 29889, 3608, 29889, 510, 29914, 690, 2842, 29914, 29940, 18771, 2182, 2297, 13, 29871, 2045, 597, 1636, 29889, 29895, 351, 6234, 29889, 510, 29914, 29883, 29914, 29056, 29906, 29899, 12470, 29899, 12011, 292, 29914, 13, 13, 29871, 448, 2683, 2683, 2683, 2683, 9072, 29899, 13, 13, 29871, 8741, 8744, 29901, 13, 13, 29871, 302, 29939, 29918, 14513, 29918, 29891, 548, 29877, 1192, 29887, 1025, 29918, 2084, 29922, 29966, 2084, 29899, 517, 29899, 29887, 1025, 29899, 5325, 29958, 1192, 27711, 1080, 29918, 2084, 29922, 29966, 2084, 29918, 517, 29918, 3126, 29958, 13, 13, 29871, 910, 674, 10272, 1716, 278, 6221, 383, 29896, 19435, 408, 1532, 408, 17386, 29992, 17990, 2459, 13, 29871, 6131, 363, 1716, 1472, 322, 3273, 6089, 29889, 3940, 393, 390, 29992, 29925, 526, 871, 6593, 1319, 13, 29871, 565, 596, 1904, 14938, 1078, 278, 8158, 4235, 310, 278, 18988, 4663, 3402, 29889, 13, 13, 29871, 7684, 29918, 2084, 881, 1298, 304, 278, 5320, 982, 9732, 630, 2906, 848, 297, 278, 13, 29871, 2441, 5142, 3402, 313, 29887, 2526, 2986, 4390, 9012, 467, 13, 13, 29871, 27303, 29918, 2084, 881, 1298, 304, 263, 4390, 934, 6943, 278, 27303, 297, 13, 29871, 278, 3402, 2183, 2400, 29889, 13, 13, 29871, 448, 2683, 2683, 2683, 2683, 9072, 29899, 13, 13, 29871, 21099, 2463, 3402, 29901, 13, 13, 29871, 11117, 27711, 1080, 2396, 518, 13, 1678, 426, 13, 418, 525, 4773, 29918, 333, 2396, 448, 29906, 29906, 29906, 29953, 29945, 29906, 29945, 29929, 29953, 29945, 29947, 29946, 29906, 29941, 29955, 29945, 29953, 29955, 29906, 29892, 13, 418, 525, 5426, 29918, 12011, 2396, 426, 13, 4706, 525, 2962, 29918, 10389, 2396, 29871, 29953, 29906, 29953, 29945, 29955, 29892, 525, 355, 29918, 10389, 2396, 29871, 29953, 29946, 29955, 29955, 29953, 29892, 13, 4706, 525, 2962, 29918, 6979, 2396, 29871, 29941, 29929, 29896, 29892, 525, 355, 29918, 6979, 2396, 29871, 29953, 29900, 29946, 13, 418, 2981, 13, 418, 525, 5426, 29918, 12011, 29918, 13628, 2396, 29871, 29896, 29941, 29889, 29945, 29892, 13, 418, 525, 12759, 29918, 550, 17538, 2396, 518, 13, 4706, 11117, 2962, 29918, 10389, 2396, 29871, 29953, 29946, 29906, 29900, 29953, 29892, 525, 355, 29918, 10389, 2396, 29871, 29953, 29946, 29906, 29947, 29900, 29892, 13, 308, 525, 2962, 29918, 6979, 2396, 29871, 29945, 29945, 29945, 29892, 525, 355, 29918, 6979, 2396, 29871, 29945, 29953, 29900, 1118, 2023, 1402, 13, 418, 525, 12759, 29918, 550, 17538, 29918, 13628, 2396, 29871, 29906, 29953, 29889, 29946, 29892, 13, 418, 525, 3582, 29918, 1217, 29918, 12011, 2396, 525, 29940, 12413, 29915, 13, 1678, 2981, 2023, 4514, 13, 29871, 500, 13, 15945, 29908, 13, 13, 3166, 16250, 1053, 8170, 287, 21533, 13, 3166, 633, 2536, 1053, 623, 13, 3166, 633, 2536, 1053, 13449, 13, 5215, 19745, 29918, 13239, 408, 3667, 13, 13, 15764, 29889, 24405, 8895, 29918, 1807, 29898, 13, 1678, 525, 29887, 1025, 29918, 2084, 742, 6213, 29892, 525, 2605, 304, 278, 330, 7554, 4663, 848, 29889, 1152, 525, 13, 462, 539, 525, 20787, 2066, 29892, 881, 367, 263, 13149, 525, 13, 462, 539, 525, 11037, 313, 29872, 29889, 29887, 29889, 5591, 2084, 29914, 517, 29914, 5325, 29899, 20605, 1495, 13, 15764, 29889, 24405, 8895, 29918, 1807, 877, 27711, 1080, 29918, 2084, 742, 6213, 29892, 525, 2605, 304, 18988, 4663, 29889, 1495, 13, 15764, 29889, 24405, 8895, 29918, 16031, 877, 1949, 29918, 28993, 742, 29871, 29896, 29900, 29892, 525, 4557, 310, 9717, 363, 5183, 29889, 1495, 13, 15764, 29889, 24405, 8895, 29918, 7411, 877, 13628, 29918, 386, 690, 29918, 5426, 742, 448, 29896, 29900, 29900, 29892, 525, 20097, 16897, 363, 1472, 6089, 1495, 13, 15764, 29889, 24405, 8895, 29918, 7411, 877, 13628, 29918, 386, 690, 29918, 12759, 742, 448, 29896, 29900, 29900, 29892, 525, 20097, 16897, 363, 3273, 6089, 1495, 13, 13, 18823, 10749, 353, 13449, 29889, 18823, 10749, 13, 13, 13, 1753, 9109, 29918, 4563, 680, 29898, 29916, 29892, 343, 1125, 13, 1678, 9995, 20606, 29872, 921, 847, 343, 29892, 541, 736, 29871, 29900, 565, 343, 338, 5225, 1213, 15945, 13, 1678, 565, 343, 1275, 29871, 29900, 29901, 13, 4706, 736, 29871, 29900, 13, 1678, 1683, 29901, 13, 4706, 736, 921, 847, 343, 13, 13, 13, 1753, 8158, 29918, 5426, 29918, 12011, 29898, 29887, 1025, 29918, 1643, 29918, 1761, 29892, 4450, 29918, 1643, 29892, 8158, 29918, 386, 690, 1125, 13, 1678, 9995, 4421, 2361, 263, 1472, 1234, 408, 1959, 470, 451, 29889, 13, 13, 268, 29896, 29897, 3824, 11097, 565, 727, 338, 263, 7684, 1472, 1234, 411, 365, 20614, 29918, 6632, 29918, 10074, 29918, 4690, 1525, 7068, 5607, 29928, 29889, 13, 268, 29906, 29897, 450, 18988, 674, 679, 263, 1993, 565, 29901, 13, 539, 263, 29889, 1670, 338, 263, 7684, 1472, 1234, 29889, 13, 539, 289, 29889, 450, 18988, 10638, 1993, 3721, 411, 334, 650, 29930, 310, 278, 1661, 29899, 4304, 7684, 13, 3986, 1472, 1234, 10638, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 7684, 29918, 1643, 29918, 1761, 29901, 319, 1051, 310, 405, 2239, 1107, 29892, 1033, 367, 6213, 29889, 13, 418, 4450, 29918, 1643, 29901, 319, 2323, 405, 2239, 1107, 29892, 1033, 367, 6213, 29889, 13, 418, 8158, 29918, 386, 690, 29936, 8158, 16897, 13, 13, 1678, 16969, 29901, 13, 418, 7684, 29918, 5349, 29918, 12011, 29892, 4450, 29918, 5349, 29918, 12011, 29892, 338, 29918, 15728, 29892, 8158, 13, 1678, 9995, 13, 1678, 7684, 29918, 5349, 29918, 12011, 353, 3667, 29889, 29887, 1025, 29918, 5349, 29918, 5426, 29918, 12011, 29898, 29887, 1025, 29918, 1643, 29918, 1761, 29897, 13, 13, 1678, 338, 29918, 15728, 353, 7700, 13, 1678, 8158, 353, 4450, 29918, 1643, 29889, 5426, 29918, 13628, 13, 13, 1678, 4450, 29918, 5349, 29918, 12011, 353, 4450, 29918, 1643, 322, 313, 13, 4706, 451, 4450, 29918, 1643, 29889, 5426, 29918, 12011, 29918, 9653, 29889, 275, 29918, 4304, 29918, 9653, 3101, 322, 8158, 6736, 8158, 29918, 386, 690, 13, 13, 1678, 396, 9134, 11192, 526, 1661, 29899, 4304, 805, 550, 29889, 13, 1678, 565, 7684, 29918, 5349, 29918, 12011, 322, 4450, 29918, 5349, 29918, 12011, 29901, 13, 4706, 363, 7684, 29918, 1643, 297, 7684, 29918, 1643, 29918, 1761, 29901, 13, 9651, 396, 1550, 278, 28931, 2582, 12266, 727, 338, 385, 1472, 1234, 29892, 1269, 13, 9651, 396, 9732, 1061, 1795, 1603, 1827, 727, 338, 694, 1472, 1234, 29889, 13, 9651, 565, 7684, 29918, 1643, 29889, 5426, 29918, 12011, 29918, 9653, 29889, 275, 29918, 4304, 29918, 9653, 7295, 13, 18884, 6773, 13, 13, 9651, 565, 3667, 29889, 29876, 3409, 913, 29918, 9653, 29918, 11745, 29898, 29887, 1025, 29918, 1643, 29889, 5426, 29918, 12011, 29918, 9653, 29892, 13, 462, 462, 539, 4450, 29918, 1643, 29889, 5426, 29918, 12011, 29918, 9653, 1125, 13, 18884, 338, 29918, 15728, 353, 5852, 13, 18884, 2867, 13, 13, 1678, 736, 7684, 29918, 5349, 29918, 12011, 29892, 4450, 29918, 5349, 29918, 12011, 29892, 338, 29918, 15728, 29892, 8158, 13, 13, 13, 1753, 8158, 29918, 12759, 29918, 12011, 29898, 29887, 1025, 29918, 1643, 29918, 1761, 29892, 4450, 29918, 1643, 29892, 8158, 29918, 386, 690, 1125, 13, 1678, 9995, 4421, 2361, 263, 3273, 1234, 408, 1959, 470, 451, 29889, 13, 13, 268, 29896, 29897, 3824, 11097, 565, 727, 338, 263, 7684, 3273, 1234, 411, 24972, 8476, 29918, 6632, 29918, 10074, 29918, 4690, 1525, 7068, 5607, 29928, 29889, 13, 268, 29906, 29897, 450, 18988, 674, 679, 263, 1993, 565, 29901, 13, 539, 263, 29889, 1670, 338, 263, 7684, 3273, 1234, 29889, 13, 539, 289, 29889, 450, 18988, 10638, 334, 842, 29930, 1993, 3721, 411, 334, 650, 29930, 310, 278, 1661, 29899, 4304, 7684, 13, 3986, 3273, 1234, 10638, 334, 842, 10521, 13, 13, 1678, 826, 3174, 29901, 13, 418, 7684, 29918, 1643, 29918, 1761, 29901, 319, 1051, 310, 405, 2239, 1107, 29889, 13, 418, 4450, 29918, 1643, 29901, 319, 2323, 405, 2239, 1107, 29889, 13, 418, 8158, 29918, 386, 690, 29901, 8158, 16897, 13, 13, 1678, 16969, 29901, 13, 418, 7684, 29918, 5349, 29918, 12011, 29892, 4450, 29918, 5349, 29918, 12011, 29892, 338, 29918, 15728, 29892, 8158, 13, 1678, 9995, 13, 13, 1678, 396, 1670, 338, 263, 7684, 3273, 1234, 565, 7684, 29918, 1643, 29918, 1761, 451, 4069, 322, 1661, 1870, 13, 1678, 396, 6089, 338, 975, 278, 16897, 313, 2083, 975, 9732, 4097, 467, 13, 1678, 7684, 29918, 5349, 29918, 12011, 353, 3667, 29889, 29887, 1025, 29918, 5349, 29918, 12759, 29918, 12011, 29898, 29887, 1025, 29918, 1643, 29918, 1761, 29897, 13, 13, 1678, 338, 29918, 15728, 353, 7700, 13, 1678, 8158, 353, 4450, 29918, 1643, 29889, 12759, 29918, 13628, 13, 13, 1678, 396, 1670, 338, 263, 4450, 1472, 1234, 565, 4450, 29918, 1643, 338, 451, 4069, 322, 3273, 1234, 13, 1678, 396, 731, 338, 451, 4069, 29889, 13, 1678, 4450, 29918, 5349, 29918, 12011, 353, 4450, 29918, 1643, 322, 313, 13, 9651, 313, 1333, 3667, 29889, 275, 29918, 4304, 29918, 9653, 29918, 1761, 29898, 11965, 29918, 1643, 29889, 12759, 29918, 12011, 29918, 9653, 29918, 1761, 876, 470, 13, 9651, 4450, 29918, 1643, 29889, 3582, 29918, 1217, 29918, 12011, 2804, 525, 9290, 1495, 322, 8158, 6736, 8158, 29918, 386, 690, 13, 13, 1678, 396, 9134, 11192, 505, 3273, 6089, 29892, 607, 3743, 4874, 29914, 1217, 5155, 29889, 13, 1678, 565, 7684, 29918, 5349, 29918, 12011, 322, 4450, 29918, 5349, 29918, 12011, 29901, 13, 4706, 565, 4450, 29918, 1643, 29889, 3582, 29918, 1217, 29918, 12011, 2804, 525, 9290, 2396, 29871, 396, 2184, 22405, 967, 343, 29914, 29876, 5155, 29889, 13, 9651, 363, 7684, 29918, 1643, 297, 7684, 29918, 1643, 29918, 1761, 29901, 13, 18884, 565, 4450, 29918, 1643, 29889, 3582, 29918, 1217, 29918, 12011, 1275, 7684, 29918, 1643, 29889, 3582, 29918, 1217, 29918, 12011, 29901, 13, 462, 1678, 338, 29918, 15728, 353, 5852, 13, 462, 1678, 2867, 13, 4706, 1683, 29901, 13, 9651, 363, 7684, 29918, 1643, 297, 7684, 29918, 1643, 29918, 1761, 29901, 13, 18884, 565, 3667, 29889, 9653, 29918, 842, 29918, 11745, 29898, 29887, 1025, 29918, 1643, 29889, 12759, 29918, 12011, 29918, 9653, 29918, 1761, 29892, 13, 462, 462, 539, 4450, 29918, 1643, 29889, 12759, 29918, 12011, 29918, 9653, 29918, 1761, 1125, 13, 462, 1678, 338, 29918, 15728, 353, 5852, 13, 462, 1678, 2867, 13, 13, 1678, 736, 7684, 29918, 5349, 29918, 12011, 29892, 4450, 29918, 5349, 29918, 12011, 29892, 338, 29918, 15728, 29892, 8158, 13, 13, 13, 1753, 8158, 29918, 550, 17538, 29898, 29887, 1025, 29918, 18317, 29918, 8977, 29892, 4450, 29918, 8977, 29892, 13, 462, 29871, 8158, 29918, 386, 690, 29918, 5426, 29892, 8158, 29918, 386, 690, 29918, 12759, 1125, 13, 1678, 9995, 4421, 2361, 599, 6089, 363, 599, 10701, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 7684, 29918, 18317, 29918, 8977, 29901, 263, 9657, 515, 1342, 1178, 304, 1051, 310, 405, 2239, 1107, 29879, 29889, 13, 418, 4450, 29918, 8977, 29901, 263, 9657, 515, 1342, 1178, 304, 1051, 310, 405, 2239, 1107, 29879, 29889, 13, 418, 8158, 29918, 386, 690, 29918, 5426, 29901, 8158, 16897, 363, 1472, 6089, 13, 418, 8158, 29918, 386, 690, 29918, 12759, 29901, 8158, 16897, 363, 3273, 6089, 13, 13, 1678, 16969, 29901, 13, 418, 1472, 29918, 12011, 29918, 16202, 29901, 2391, 310, 19435, 363, 1472, 6089, 29889, 13, 418, 3273, 29918, 12011, 29918, 16202, 29901, 2391, 310, 19435, 363, 3273, 6089, 29889, 13, 1678, 9995, 13, 1678, 7684, 29918, 333, 29918, 842, 353, 731, 29898, 29887, 1025, 29918, 18317, 29918, 8977, 29889, 8149, 3101, 13, 1678, 4450, 29918, 333, 29918, 842, 353, 731, 29898, 11965, 29918, 8977, 29889, 8149, 3101, 13, 13, 1678, 565, 7684, 29918, 333, 29918, 842, 29889, 11967, 16414, 29918, 29881, 17678, 29898, 11965, 29918, 333, 29918, 842, 1125, 13, 4706, 12020, 7865, 2392, 877, 11432, 29901, 278, 1342, 18999, 297, 7684, 25495, 322, 1342, 525, 13, 462, 308, 525, 4841, 297, 278, 18988, 526, 451, 5186, 29889, 1495, 13, 13, 1678, 1472, 29918, 12011, 29918, 16202, 353, 5159, 13, 1678, 3273, 29918, 12011, 29918, 16202, 353, 5159, 13, 13, 1678, 363, 1342, 29918, 333, 297, 7684, 29918, 333, 29918, 842, 29901, 13, 4706, 7684, 353, 7684, 29918, 18317, 29918, 8977, 29961, 4773, 29918, 333, 29962, 13, 4706, 4450, 353, 4450, 29918, 8977, 29961, 4773, 29918, 333, 29962, 13, 13, 4706, 1472, 29918, 12011, 29918, 16202, 29889, 4397, 29898, 13628, 29918, 5426, 29918, 12011, 29898, 29887, 1025, 29892, 4450, 29892, 8158, 29918, 386, 690, 29918, 5426, 876, 13, 4706, 3273, 29918, 12011, 29918, 16202, 29889, 4397, 29898, 13628, 29918, 12759, 29918, 12011, 29898, 29887, 1025, 29892, 4450, 29892, 8158, 29918, 386, 690, 29918, 12759, 876, 13, 13, 1678, 396, 671, 278, 525, 13628, 29915, 1897, 29892, 607, 338, 1833, 13, 1678, 1472, 29918, 12011, 29918, 16202, 29889, 6605, 29898, 1989, 29922, 2892, 921, 29901, 921, 14352, 29896, 1402, 11837, 29922, 5574, 29897, 13, 1678, 3273, 29918, 12011, 29918, 16202, 29889, 6605, 29898, 1989, 29922, 2892, 921, 29901, 921, 14352, 29896, 1402, 11837, 29922, 5574, 29897, 13, 13, 1678, 736, 1472, 29918, 12011, 29918, 16202, 29892, 3273, 29918, 12011, 29918, 16202, 13, 13, 13, 1753, 10272, 29918, 29888, 29896, 29898, 12011, 29918, 16202, 29892, 10944, 2433, 29374, 13, 1678, 9995, 20606, 267, 383, 29896, 29892, 16716, 29892, 17386, 363, 263, 1051, 310, 1234, 19435, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 1234, 29918, 16202, 29901, 2391, 310, 639, 29899, 4773, 19435, 29889, 13, 418, 10944, 313, 4907, 1125, 349, 9569, 304, 8273, 355, 304, 8158, 8600, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 13343, 10417, 1347, 2983, 304, 19435, 29889, 13, 1678, 9995, 13, 13, 1678, 756, 29918, 29887, 1025, 29892, 756, 29918, 11965, 29892, 338, 29918, 15728, 29892, 903, 353, 1051, 29898, 7554, 10456, 12011, 29918, 16202, 876, 13, 1678, 16716, 353, 9109, 29918, 4563, 680, 29898, 2083, 29898, 275, 29918, 15728, 511, 2533, 29898, 5349, 29918, 11965, 876, 13, 1678, 17386, 353, 9109, 29918, 4563, 680, 29898, 2083, 29898, 275, 29918, 15728, 511, 2533, 29898, 5349, 29918, 29887, 1025, 876, 13, 1678, 285, 29896, 353, 9109, 29918, 4563, 680, 29898, 29906, 334, 16716, 334, 17386, 29892, 16716, 718, 17386, 29897, 13, 13, 1678, 736, 8170, 287, 21533, 3319, 13, 4706, 10944, 718, 525, 29876, 2396, 7431, 29898, 12011, 29918, 16202, 511, 13, 4706, 10944, 718, 525, 29888, 29896, 2396, 285, 29896, 29892, 13, 4706, 10944, 718, 525, 17990, 2459, 2396, 16716, 29892, 13, 4706, 10944, 718, 525, 3757, 497, 2396, 17386, 13, 1678, 5615, 13, 13, 13, 1753, 10272, 29918, 8394, 29918, 29888, 29896, 29898, 5426, 29918, 12011, 29918, 16202, 29892, 3273, 29918, 12011, 29918, 16202, 1125, 13, 1678, 9995, 20606, 267, 12463, 383, 29896, 2183, 1472, 322, 3273, 6089, 29892, 5330, 8253, 19435, 29889, 13, 13, 1678, 3940, 29901, 445, 15894, 393, 278, 6089, 505, 1063, 16897, 287, 29889, 13, 13, 1678, 11842, 9331, 29901, 13, 539, 1472, 29918, 12011, 29918, 16202, 29901, 2391, 310, 1472, 1234, 19435, 29889, 13, 539, 3273, 29918, 12011, 29918, 16202, 29901, 2391, 310, 3273, 1234, 19435, 29889, 13, 13, 1678, 16969, 29901, 13, 539, 13343, 310, 1024, 313, 1807, 29897, 1599, 8158, 29889, 13, 1678, 9995, 13, 1678, 19435, 353, 10272, 29918, 29888, 29896, 29898, 5426, 29918, 12011, 29918, 16202, 29892, 10944, 2433, 5426, 29899, 12011, 29899, 1495, 13, 1678, 19435, 29889, 5504, 29898, 26017, 29918, 29888, 29896, 29898, 12759, 29918, 12011, 29918, 16202, 29892, 10944, 2433, 12759, 29899, 12011, 29899, 8785, 13, 1678, 19435, 29889, 5504, 29898, 26017, 29918, 29888, 29896, 29898, 5426, 29918, 12011, 29918, 16202, 718, 3273, 29918, 12011, 29918, 16202, 29892, 10944, 2433, 497, 29899, 12011, 29899, 8785, 13, 1678, 736, 19435, 13, 13, 13, 1753, 1667, 7373, 1125, 13, 1678, 302, 29939, 29918, 29887, 1025, 29918, 8977, 353, 3667, 29889, 949, 29918, 18317, 29898, 18823, 10749, 29889, 29887, 1025, 29918, 2084, 29892, 302, 29918, 28993, 29922, 18823, 10749, 29889, 1949, 29918, 28993, 29897, 13, 13, 1678, 302, 29939, 29918, 11965, 29918, 8977, 353, 3667, 29889, 949, 29918, 11965, 2463, 29918, 3126, 29898, 18823, 10749, 29889, 27711, 1080, 29918, 2084, 29897, 13, 13, 1678, 1472, 29918, 12011, 29918, 16202, 29892, 3273, 29918, 12011, 29918, 16202, 353, 8158, 29918, 550, 17538, 29898, 29876, 29939, 29918, 29887, 1025, 29918, 8977, 29892, 13, 462, 462, 462, 3986, 302, 29939, 29918, 11965, 29918, 8977, 29892, 13, 462, 462, 462, 3986, 8158, 29918, 386, 690, 29918, 5426, 29922, 18823, 10749, 29889, 13628, 29918, 386, 690, 29918, 5426, 29892, 13, 462, 462, 462, 3986, 8158, 29918, 386, 690, 29918, 12759, 29922, 18823, 10749, 29889, 13628, 29918, 386, 690, 29918, 12759, 29897, 13, 13, 1678, 396, 23415, 2582, 13, 1678, 1596, 877, 29930, 29915, 334, 29871, 29906, 29900, 29897, 13, 13, 1678, 19435, 353, 10272, 29918, 8394, 29918, 29888, 29896, 29898, 5426, 29918, 12011, 29918, 16202, 29892, 3273, 29918, 12011, 29918, 16202, 29897, 13, 1678, 1596, 877, 29930, 29915, 334, 29871, 29906, 29900, 29897, 13, 1678, 1596, 877, 29903, 3217, 15989, 313, 29876, 3790, 29913, 1125, 4286, 4830, 29898, 13, 4706, 19435, 1839, 5426, 29899, 12011, 29899, 29876, 25901, 13, 1678, 1596, 877, 795, 383, 29896, 268, 847, 29871, 349, 418, 847, 29871, 390, 1495, 13, 1678, 1596, 877, 8208, 1234, 29871, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 847, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 847, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 4286, 4830, 29898, 13, 4706, 19435, 1839, 5426, 29899, 12011, 29899, 29888, 29896, 7464, 19435, 1839, 5426, 29899, 12011, 29899, 17990, 2459, 7464, 13, 4706, 19435, 1839, 5426, 29899, 12011, 29899, 3757, 497, 25901, 13, 1678, 1596, 877, 21322, 1234, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 847, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 847, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 4286, 4830, 29898, 13, 4706, 19435, 1839, 12759, 29899, 12011, 29899, 29888, 29896, 7464, 19435, 1839, 12759, 29899, 12011, 29899, 17990, 2459, 7464, 13, 4706, 19435, 1839, 12759, 29899, 12011, 29899, 3757, 497, 25901, 13, 1678, 1596, 877, 3596, 6089, 29871, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 847, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 847, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 4286, 4830, 29898, 13, 4706, 19435, 1839, 497, 29899, 12011, 29899, 29888, 29896, 7464, 19435, 1839, 497, 29899, 12011, 29899, 17990, 2459, 7464, 13, 4706, 19435, 1839, 497, 29899, 12011, 29899, 3757, 497, 25901, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 13449, 29889, 3502, 29918, 15581, 29918, 294, 29918, 12403, 877, 29887, 1025, 29918, 2084, 1495, 13, 1678, 13449, 29889, 3502, 29918, 15581, 29918, 294, 29918, 12403, 877, 27711, 1080, 29918, 2084, 1495, 13, 1678, 623, 29889, 3389, 29898, 3396, 29897, 13, 2 ]
awscfncli2/cli/monkeypatch_clickcompletion.py	alytle/awscfncli	60	88659	<reponame>alytle/awscfncli from click import MultiCommand from click_completion.core import resolve_ctx, match, Option, Argument, \ completion_configuration def get_choices(cli, prog_name, args, incomplete): """ Parameters ---------- cli : click.Command The main click Command of the program prog_name : str The program name on the command line args : [str] The arguments already written by the user on the command line incomplete : str The partial argument to complete Returns ------- [(str, str)] A list of completion results. The first element of each tuple is actually the argument to complete, the second element is an help string for this argument. """ ctx = resolve_ctx(cli, prog_name, args) if ctx is None: return optctx = None if args: options = [param for param in ctx.command.get_params(ctx) if isinstance(param, Option)] arguments = [param for param in ctx.command.get_params(ctx) if isinstance(param, Argument)] for param in options: if not param.is_flag and args[-1] in param.opts + param.secondary_opts: optctx = param if optctx is None: for param in arguments: if ( not incomplete.startswith("-") and ( ctx.params.get(param.name) in (None, ()) or param.nargs == -1 ) ): optctx = param break choices = [] if optctx: choices += [c if isinstance(c, tuple) else (c, None) for c in optctx.type.complete(ctx, incomplete)] if not choices and hasattr(optctx, 'autocompletion') and optctx.autocompletion is not None: dynamic_completions = optctx.autocompletion(ctx=ctx, args=args, incomplete=incomplete) choices += [c if isinstance(c, tuple) else (c, None) for c in dynamic_completions] else: for param in ctx.command.get_params(ctx): if ( completion_configuration.complete_options or incomplete and not incomplete[ :1].isalnum()) and isinstance( param, Option): # filter hidden click.Option if getattr(param, 'hidden', False): continue for opt in param.opts: if match(opt, incomplete): choices.append((opt, param.help)) for opt in param.secondary_opts: if match(opt, incomplete): # don't put the doc so fish won't group the primary and # and secondary options choices.append((opt, None)) if isinstance(ctx.command, MultiCommand): for name in ctx.command.list_commands(ctx): if match(name, incomplete): choices.append( (name, ctx.command.get_command_short_help(ctx, name))) for item, help in choices: yield (item, help) def monkey_patch(): import click_completion click_completion.core.get_choices = get_choices	[ 1, 529, 276, 1112, 420, 29958, 284, 3637, 280, 29914, 1450, 1557, 9144, 11303, 13, 3166, 2828, 1053, 14974, 6255, 13, 3166, 2828, 29918, 5729, 12757, 29889, 3221, 1053, 8814, 29918, 13073, 29892, 1993, 29892, 10831, 29892, 23125, 29892, 320, 13, 1678, 13285, 29918, 13305, 13, 13, 13, 1753, 679, 29918, 1859, 1575, 29898, 11303, 29892, 410, 29887, 29918, 978, 29892, 6389, 29892, 28907, 1125, 13, 1678, 9995, 13, 13, 1678, 12662, 2699, 13, 1678, 448, 1378, 29899, 13, 1678, 9335, 584, 2828, 29889, 6255, 13, 4706, 450, 1667, 2828, 10516, 310, 278, 1824, 13, 1678, 410, 29887, 29918, 978, 584, 851, 13, 4706, 450, 1824, 1024, 373, 278, 1899, 1196, 13, 1678, 6389, 584, 518, 710, 29962, 13, 4706, 450, 6273, 2307, 3971, 491, 278, 1404, 373, 278, 1899, 1196, 13, 1678, 28907, 584, 851, 13, 4706, 450, 7687, 2980, 304, 4866, 13, 13, 1678, 16969, 13, 1678, 448, 22158, 13, 1678, 17288, 710, 29892, 851, 4638, 13, 4706, 319, 1051, 310, 13285, 2582, 29889, 450, 937, 1543, 310, 1269, 18761, 338, 2869, 278, 2980, 304, 4866, 29892, 278, 1473, 13, 4706, 1543, 338, 385, 1371, 1347, 363, 445, 2980, 29889, 13, 1678, 9995, 13, 1678, 12893, 353, 8814, 29918, 13073, 29898, 11303, 29892, 410, 29887, 29918, 978, 29892, 6389, 29897, 13, 1678, 565, 12893, 338, 6213, 29901, 13, 4706, 736, 13, 1678, 3523, 13073, 353, 6213, 13, 1678, 565, 6389, 29901, 13, 4706, 3987, 353, 518, 3207, 13, 462, 259, 363, 1828, 297, 12893, 29889, 6519, 29889, 657, 29918, 7529, 29898, 13073, 29897, 13, 462, 259, 565, 338, 8758, 29898, 3207, 29892, 10831, 4638, 13, 4706, 6273, 353, 518, 3207, 13, 462, 268, 363, 1828, 297, 12893, 29889, 6519, 29889, 657, 29918, 7529, 29898, 13073, 29897, 13, 462, 268, 565, 338, 8758, 29898, 3207, 29892, 23125, 4638, 13, 4706, 363, 1828, 297, 3987, 29901, 13, 9651, 565, 451, 1828, 29889, 275, 29918, 15581, 322, 6389, 14352, 29896, 29962, 297, 1828, 29889, 25707, 718, 1828, 29889, 7496, 653, 29918, 25707, 29901, 13, 18884, 3523, 13073, 353, 1828, 13, 4706, 565, 3523, 13073, 338, 6213, 29901, 13, 9651, 363, 1828, 297, 6273, 29901, 13, 18884, 565, 313, 13, 462, 4706, 451, 28907, 29889, 27382, 2541, 703, 29899, 1159, 13, 462, 4706, 322, 313, 13, 462, 4706, 12893, 29889, 7529, 29889, 657, 29898, 3207, 29889, 978, 29897, 297, 313, 8516, 29892, 313, 876, 13, 462, 4706, 470, 1828, 29889, 29876, 5085, 1275, 448, 29896, 13, 18884, 1723, 13, 462, 1125, 13, 462, 1678, 3523, 13073, 353, 1828, 13, 462, 1678, 2867, 13, 1678, 19995, 353, 5159, 13, 1678, 565, 3523, 13073, 29901, 13, 4706, 19995, 4619, 518, 29883, 565, 338, 8758, 29898, 29883, 29892, 18761, 29897, 1683, 313, 29883, 29892, 6213, 29897, 363, 274, 297, 13, 462, 1678, 3523, 13073, 29889, 1853, 29889, 8835, 29898, 13073, 29892, 28907, 4638, 13, 4706, 565, 451, 19995, 322, 756, 5552, 29898, 3670, 13073, 29892, 13, 462, 462, 259, 525, 6921, 5729, 12757, 1495, 322, 3523, 13073, 29889, 6921, 5729, 12757, 338, 451, 6213, 29901, 13, 9651, 7343, 29918, 5729, 29873, 1080, 353, 3523, 13073, 29889, 6921, 5729, 12757, 29898, 13073, 29922, 13073, 29892, 6389, 29922, 5085, 29892, 13, 462, 462, 462, 4706, 28907, 29922, 262, 8835, 29897, 13, 9651, 19995, 4619, 518, 29883, 565, 338, 8758, 29898, 29883, 29892, 18761, 29897, 1683, 313, 29883, 29892, 6213, 29897, 363, 274, 297, 13, 462, 4706, 7343, 29918, 5729, 29873, 1080, 29962, 13, 1678, 1683, 29901, 13, 4706, 363, 1828, 297, 12893, 29889, 6519, 29889, 657, 29918, 7529, 29898, 13073, 1125, 13, 9651, 565, 313, 13, 462, 1678, 13285, 29918, 13305, 29889, 8835, 29918, 6768, 470, 28907, 322, 451, 28907, 29961, 13, 462, 462, 462, 462, 462, 1678, 584, 29896, 1822, 275, 284, 1949, 3101, 322, 338, 8758, 29898, 13, 462, 1678, 1828, 29892, 10831, 1125, 13, 18884, 396, 4175, 7934, 2828, 29889, 8375, 13, 18884, 565, 679, 5552, 29898, 3207, 29892, 525, 10892, 742, 7700, 1125, 13, 462, 1678, 6773, 13, 18884, 363, 3523, 297, 1828, 29889, 25707, 29901, 13, 462, 1678, 565, 1993, 29898, 3670, 29892, 28907, 1125, 13, 462, 4706, 19995, 29889, 4397, 3552, 3670, 29892, 1828, 29889, 8477, 876, 13, 18884, 363, 3523, 297, 1828, 29889, 7496, 653, 29918, 25707, 29901, 13, 462, 1678, 565, 1993, 29898, 3670, 29892, 28907, 1125, 13, 462, 4706, 396, 1016, 29915, 29873, 1925, 278, 1574, 577, 9427, 2113, 29915, 29873, 2318, 278, 7601, 322, 13, 462, 4706, 396, 322, 16723, 3987, 13, 462, 4706, 19995, 29889, 4397, 3552, 3670, 29892, 6213, 876, 13, 4706, 565, 338, 8758, 29898, 13073, 29889, 6519, 29892, 14974, 6255, 1125, 13, 9651, 363, 1024, 297, 12893, 29889, 6519, 29889, 1761, 29918, 26381, 29898, 13073, 1125, 13, 18884, 565, 1993, 29898, 978, 29892, 28907, 1125, 13, 462, 1678, 19995, 29889, 4397, 29898, 13, 462, 4706, 313, 978, 29892, 12893, 29889, 6519, 29889, 657, 29918, 6519, 29918, 12759, 29918, 8477, 29898, 13073, 29892, 1024, 4961, 13, 13, 1678, 363, 2944, 29892, 1371, 297, 19995, 29901, 13, 4706, 7709, 313, 667, 29892, 1371, 29897, 13, 13, 13, 1753, 1601, 1989, 29918, 5041, 7295, 13, 1678, 1053, 2828, 29918, 5729, 12757, 13, 1678, 2828, 29918, 5729, 12757, 29889, 3221, 29889, 657, 29918, 1859, 1575, 353, 679, 29918, 1859, 1575, 13, 2 ]
server/game/action.py	artemb/zombie-plague	0	122477	from enum import Enum class Action: def __init__(self, ap): self.ap = ap class StepAction(Action): def __init__(self): super().__init__(1) def run(self, char, step): char.step(step) class TurnAction(Action): def __init__(self): super().__init__(1) def run(self, char, turn): char.turn(turn) class ActionType(Enum): STEP = 'STEP', StepAction() TURN = 'TURN', TurnAction() def __new__(cls, value, action=None): obj = object.__new__(cls) obj._value_ = value obj.action = action return obj class Turn(Enum): LEFT = 'LEFT' RIGHT = 'RIGHT' class Direction(Enum): UP = 'UP', (0, -1) DOWN = 'DOWN', (0, 1) RIGHT = 'RIGHT', (1, 0) LEFT = 'LEFT', (-1, 0) def __new__(cls, value, vector): obj = object.__new__(cls) obj._value_ = value obj.vector = vector return obj def turn(self, turn: Turn): if self == Direction.RIGHT: return Direction.UP if turn == Turn.LEFT else Direction.DOWN elif self == Direction.UP: return Direction.LEFT if turn == Turn.LEFT else Direction.RIGHT elif self == Direction.LEFT: return Direction.DOWN if turn == Turn.LEFT else Direction.UP elif self == Direction.DOWN: return Direction.RIGHT if turn == Turn.LEFT else Direction.LEFT class Step(Enum): FORWARD = 'FORWARD', 1 BACKWARD = 'BACKWARD', -1 def __new__(cls, value, modifier): obj = object.__new__(cls) obj._value_ = value obj.modifier = modifier return obj	[ 1, 515, 14115, 1053, 1174, 398, 13, 13, 13, 1990, 9123, 29901, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3095, 1125, 13, 4706, 1583, 29889, 481, 353, 3095, 13, 13, 13, 1990, 16696, 4276, 29898, 4276, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 13, 4706, 2428, 2141, 1649, 2344, 12035, 29896, 29897, 13, 13, 1678, 822, 1065, 29898, 1311, 29892, 1373, 29892, 4331, 1125, 13, 4706, 1373, 29889, 10568, 29898, 10568, 29897, 13, 13, 13, 1990, 9603, 4276, 29898, 4276, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 13, 4706, 2428, 2141, 1649, 2344, 12035, 29896, 29897, 13, 13, 1678, 822, 1065, 29898, 1311, 29892, 1373, 29892, 2507, 1125, 13, 4706, 1373, 29889, 685, 29898, 685, 29897, 13, 13, 13, 1990, 9123, 1542, 29898, 16854, 1125, 13, 1678, 317, 4330, 29925, 353, 525, 1254, 15488, 742, 16696, 4276, 580, 13, 1678, 323, 24015, 353, 525, 29911, 24015, 742, 9603, 4276, 580, 13, 13, 1678, 822, 4770, 1482, 12035, 25932, 29892, 995, 29892, 3158, 29922, 8516, 1125, 13, 4706, 5446, 353, 1203, 17255, 1482, 12035, 25932, 29897, 13, 4706, 5446, 3032, 1767, 29918, 353, 995, 13, 4706, 5446, 29889, 2467, 353, 3158, 13, 4706, 736, 5446, 13, 13, 13, 1990, 9603, 29898, 16854, 1125, 13, 1678, 19246, 353, 525, 28024, 29915, 13, 1678, 390, 22530, 353, 525, 22789, 3912, 29915, 13, 13, 13, 1990, 360, 8684, 29898, 16854, 1125, 13, 1678, 11901, 353, 525, 4897, 742, 313, 29900, 29892, 448, 29896, 29897, 13, 1678, 360, 9806, 29940, 353, 525, 3970, 16048, 742, 313, 29900, 29892, 29871, 29896, 29897, 13, 1678, 390, 22530, 353, 525, 22789, 3912, 742, 313, 29896, 29892, 29871, 29900, 29897, 13, 1678, 19246, 353, 525, 28024, 742, 8521, 29896, 29892, 29871, 29900, 29897, 13, 13, 1678, 822, 4770, 1482, 12035, 25932, 29892, 995, 29892, 4608, 1125, 13, 4706, 5446, 353, 1203, 17255, 1482, 12035, 25932, 29897, 13, 4706, 5446, 3032, 1767, 29918, 353, 995, 13, 4706, 5446, 29889, 8111, 353, 4608, 13, 4706, 736, 5446, 13, 13, 1678, 822, 2507, 29898, 1311, 29892, 2507, 29901, 9603, 1125, 13, 4706, 565, 1583, 1275, 360, 8684, 29889, 22789, 3912, 29901, 13, 9651, 736, 360, 8684, 29889, 4897, 565, 2507, 1275, 9603, 29889, 28024, 1683, 360, 8684, 29889, 3970, 16048, 13, 4706, 25342, 1583, 1275, 360, 8684, 29889, 4897, 29901, 13, 9651, 736, 360, 8684, 29889, 28024, 565, 2507, 1275, 9603, 29889, 28024, 1683, 360, 8684, 29889, 22789, 3912, 13, 4706, 25342, 1583, 1275, 360, 8684, 29889, 28024, 29901, 13, 9651, 736, 360, 8684, 29889, 3970, 16048, 565, 2507, 1275, 9603, 29889, 28024, 1683, 360, 8684, 29889, 4897, 13, 4706, 25342, 1583, 1275, 360, 8684, 29889, 3970, 16048, 29901, 13, 9651, 736, 360, 8684, 29889, 22789, 3912, 565, 2507, 1275, 9603, 29889, 28024, 1683, 360, 8684, 29889, 28024, 13, 13, 13, 1990, 16696, 29898, 16854, 1125, 13, 1678, 15842, 29956, 17011, 353, 525, 22051, 29956, 17011, 742, 29871, 29896, 13, 1678, 350, 11375, 29956, 17011, 353, 525, 29933, 11375, 29956, 17011, 742, 448, 29896, 13, 13, 1678, 822, 4770, 1482, 12035, 25932, 29892, 995, 29892, 878, 3709, 1125, 13, 4706, 5446, 353, 1203, 17255, 1482, 12035, 25932, 29897, 13, 4706, 5446, 3032, 1767, 29918, 353, 995, 13, 4706, 5446, 29889, 26625, 353, 878, 3709, 13, 4706, 736, 5446, 2 ]
src/astrolib/integration/euler.py	space-geek/integrationutils	0	150191	from typing import Callable from typing import Tuple from astrolib.base_objects import Matrix from astrolib.base_objects import TimeSpan def integrate(t_0: TimeSpan, X_0: Matrix, h: TimeSpan, dynamics_func: Callable[[TimeSpan, Matrix],Matrix]) -> Tuple[TimeSpan, Matrix, TimeSpan]: """ Function utilizes a first-order/Euler integration scheme to integrate the input state from the initial to the final epoch. Arguments: t_0 (TimeSpan) Epoch of the initial state. X_0 (Matrix) Initial state vector, in column matrix form. h (TimeSpan) Step size for integration step to take. dynamics_func ([Callable[TimeSpan, Matrix],Matrix]) State vector dynamics function. Returns: Tuple[TimeSpan, Matrix, TimeSpan] Tuple of the propagated state vector epoch, the propagated state vector, and the step size taken. """ return t_0 + h, X_0 + h.to_seconds() * dynamics_func(t_0, X_0), h	[ 1, 515, 19229, 1053, 8251, 519, 13, 3166, 19229, 1053, 12603, 552, 13, 13, 3166, 8717, 307, 1982, 29889, 3188, 29918, 12650, 1053, 22513, 13, 3166, 8717, 307, 1982, 29889, 3188, 29918, 12650, 1053, 5974, 15495, 13, 13, 13, 1753, 22782, 29898, 29873, 29918, 29900, 29901, 5974, 15495, 29892, 1060, 29918, 29900, 29901, 22513, 29892, 298, 29901, 5974, 15495, 29892, 19753, 29918, 9891, 29901, 8251, 519, 8999, 2481, 15495, 29892, 22513, 1402, 14609, 2314, 1599, 12603, 552, 29961, 2481, 15495, 29892, 22513, 29892, 5974, 15495, 5387, 13, 1678, 9995, 6680, 3667, 7093, 263, 937, 29899, 2098, 29914, 29923, 8584, 13465, 11380, 304, 22782, 13, 4706, 278, 1881, 2106, 515, 278, 2847, 304, 278, 2186, 21502, 305, 29889, 13, 13, 1678, 11842, 9331, 29901, 13, 4706, 260, 29918, 29900, 313, 2481, 15495, 29897, 462, 462, 418, 382, 1129, 305, 310, 278, 2847, 2106, 29889, 13, 4706, 1060, 29918, 29900, 313, 14609, 29897, 462, 462, 4706, 17250, 2106, 4608, 29892, 297, 1897, 4636, 883, 29889, 13, 4706, 298, 313, 2481, 15495, 29897, 462, 462, 4706, 16696, 2159, 363, 13465, 4331, 304, 2125, 29889, 13, 4706, 19753, 29918, 9891, 9310, 5594, 519, 29961, 2481, 15495, 29892, 22513, 1402, 14609, 2314, 4306, 4608, 19753, 740, 29889, 13, 13, 1678, 16969, 29901, 13, 4706, 12603, 552, 29961, 2481, 15495, 29892, 22513, 29892, 5974, 15495, 29962, 462, 259, 12603, 552, 310, 278, 13089, 630, 2106, 4608, 21502, 305, 29892, 278, 13, 462, 462, 462, 9651, 13089, 630, 2106, 4608, 29892, 322, 278, 4331, 2159, 4586, 29889, 13, 1678, 9995, 13, 1678, 736, 260, 29918, 29900, 718, 298, 29892, 1060, 29918, 29900, 718, 298, 29889, 517, 29918, 23128, 580, 334, 19753, 29918, 9891, 29898, 29873, 29918, 29900, 29892, 1060, 29918, 29900, 511, 298, 13, 2 ]
tests/test_sqlite_joins.py	WinVector/data_algebra	37	191720	import numpy import data_algebra import data_algebra.test_util import data_algebra.util from data_algebra.data_ops import * import data_algebra.SQLite import data_algebra.MySQL direct_test_sqlite = False def test_sqlite_joins_left_to_right(): sqlite_handle = None if direct_test_sqlite: sqlite_handle = data_algebra.SQLite.example_handle() # No none keys, as they treat missingness different # in Pandas and databases d1 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['a', 'a', 'b', 'b', 'b'], 'v1': [1, None, 3, 4, None], 'v2': [None, 1, 2, 7, 8], }) d2 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['c', 'b', 'b'], 'v1': [None, 1, None], 'v2': [1, None, 2], }) ops_1 = descr(d1=d1).natural_join(b=descr(d2=d2), by=['g'], jointype='left') expect_1 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['a', 'a', 'b', 'b', 'b', 'b', 'b', 'b'], 'v1': [1.0, None, 3.0, 3.0, 4.0, 4.0, 1.0, None], 'v2': [None, 1.0, 2.0, 2.0, 7.0, 7.0, 8.0, 8.0], }) res_1 = ops_1.eval({'d1': d1, 'd2': d2}) assert data_algebra.test_util.equivalent_frames(res_1, expect_1) if direct_test_sqlite: print(sqlite_handle.to_sql(ops_1)) data_algebra.test_util.check_transform( ops=ops_1, data={'d1': d1, 'd2': d2}, expect=expect_1, models_to_skip={str(data_algebra.MySQL.MySQLModel())},) ops_2 = descr(d1=d1).natural_join(b=descr(d2=d2), by=['g'], jointype='right') expect_2 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['c', 'b', 'b', 'b', 'b', 'b', 'b'], 'v1': [None, 3.0, 4.0, 1.0, 3.0, 4.0, None], 'v2': [1.0, 2.0, 7.0, 8.0, 2.0, 7.0, 8.0], }) res_2 = ops_2.eval({'d1': d1, 'd2': d2}) assert data_algebra.test_util.equivalent_frames(res_2, expect_2) if direct_test_sqlite: print(sqlite_handle.to_sql(ops_2)) data_algebra.test_util.check_transform( ops=ops_2, data={'d1': d1, 'd2': d2}, expect=expect_2, models_to_skip={str(data_algebra.MySQL.MySQLModel())},) # check test is strong enough assert not data_algebra.test_util.equivalent_frames(expect_1, expect_2) # naive reversal (interferes with coalesce) ops_n = descr(d2=d2).natural_join(b=descr(d1=d1), by=['g'], jointype='left') res_n = ops_n.eval({'d1': d1, 'd2': d2}) assert not data_algebra.test_util.equivalent_frames(res_n, expect_1) assert not data_algebra.test_util.equivalent_frames(res_n, expect_2) if sqlite_handle is not None: sqlite_handle.close() def test_sqlite_joins_simulate_full_join(): sqlite_handle = None if direct_test_sqlite: sqlite_handle = data_algebra.SQLite.example_handle() d1 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['a', 'a', 'b', 'b', 'b'], 'v1': [1, None, 3, 4, None], 'v2': [None, 1, None, 7, 8], }) d2 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['c', 'b', 'b'], 'v1': [None, 1, None], 'v2': [1, None, 2], }) join_columns = ['g'] ops = ( descr(d1=d1) .natural_join( b=descr(d2=d2), by=join_columns, jointype='full') ) res_pandas = ops.eval({'d1': d1, 'd2': d2}) if direct_test_sqlite: print(sqlite_handle.to_sql(ops)) data_algebra.test_util.check_transform( ops=ops, data={'d1': d1, 'd2': d2}, expect=res_pandas, models_to_skip={str(data_algebra.MySQL.MySQLModel())},) ops_simulate = ( # get shared key set descr(d1=d1) .project({}, group_by=join_columns) .concat_rows( b=descr(d2=d2) .project({}, group_by=join_columns), id_column=None, ) .project({}, group_by=join_columns) # simulate full join with left joins .natural_join( b=descr(d1=d1), by=join_columns, jointype='left') .natural_join( b=descr(d2=d2), by=join_columns, jointype='left') ) data_algebra.test_util.check_transform( ops=ops_simulate, data={'d1': d1, 'd2': d2}, expect=res_pandas, models_to_skip={str(data_algebra.MySQL.MySQLModel())},) if sqlite_handle is not None: sqlite_handle.close() def test_sqlite_joins_staged(): sqlite_handle = None if direct_test_sqlite: sqlite_handle = data_algebra.SQLite.example_handle() d1 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['a', 'a', 'b', 'b', 'b'], 'v1': [1, None, 3, 4, None], 'v2': [None, 1, None, 7, 8], }) d2 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['c', 'b', 'b'], 'v1': [None, 1, None], 'v2': [1, None, 2], }) join_columns = ['g'] ops = ( descr(d1=d1) .extend({'v1': 'v1 * v1'}) .natural_join( b=( descr(d2=d2) .extend({'v2': 'v2 + v2'})), by=join_columns, jointype='full') ) res_pandas = ops.eval({'d1': d1, 'd2': d2}) if direct_test_sqlite: print(sqlite_handle.to_sql(ops)) data_algebra.test_util.check_transform( ops=ops, data={'d1': d1, 'd2': d2}, expect=res_pandas, models_to_skip={str(data_algebra.MySQL.MySQLModel())}, ) if sqlite_handle is not None: sqlite_handle.close()	[ 1, 29871, 13, 5215, 12655, 13, 13, 5215, 848, 29918, 15742, 13, 5215, 848, 29918, 15742, 29889, 1688, 29918, 4422, 13, 5215, 848, 29918, 15742, 29889, 4422, 13, 3166, 848, 29918, 15742, 29889, 1272, 29918, 3554, 1053, 334, 13, 5215, 848, 29918, 15742, 29889, 4176, 568, 13, 5215, 848, 29918, 15742, 29889, 3421, 4176, 13, 13, 11851, 29918, 1688, 29918, 22793, 353, 7700, 13, 13, 13, 1753, 1243, 29918, 22793, 29918, 2212, 1144, 29918, 1563, 29918, 517, 29918, 1266, 7295, 13, 1678, 21120, 29918, 8411, 353, 6213, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 21120, 29918, 8411, 353, 848, 29918, 15742, 29889, 4176, 568, 29889, 4773, 29918, 8411, 580, 13, 13, 1678, 396, 1939, 5642, 6611, 29892, 408, 896, 7539, 4567, 2264, 1422, 13, 1678, 396, 297, 349, 7086, 322, 21218, 13, 1678, 270, 29896, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29874, 742, 525, 29874, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 29896, 29892, 6213, 29892, 29871, 29941, 29892, 29871, 29946, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 8516, 29892, 29871, 29896, 29892, 29871, 29906, 29892, 29871, 29955, 29892, 29871, 29947, 1402, 13, 1678, 5615, 13, 13, 1678, 270, 29906, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29883, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 8516, 29892, 29871, 29896, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 29896, 29892, 6213, 29892, 29871, 29906, 1402, 13, 1678, 5615, 13, 13, 1678, 288, 567, 29918, 29896, 353, 5153, 29878, 29898, 29881, 29896, 29922, 29881, 29896, 467, 25047, 29918, 7122, 29898, 29890, 29922, 2783, 7283, 29898, 29881, 29906, 29922, 29881, 29906, 511, 491, 29922, 1839, 29887, 7464, 14002, 668, 2433, 1563, 1495, 13, 1678, 2149, 29918, 29896, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29874, 742, 525, 29874, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 29896, 29889, 29900, 29892, 6213, 29892, 29871, 29941, 29889, 29900, 29892, 29871, 29941, 29889, 29900, 29892, 29871, 29946, 29889, 29900, 29892, 29871, 29946, 29889, 29900, 29892, 29871, 29896, 29889, 29900, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 8516, 29892, 29871, 29896, 29889, 29900, 29892, 29871, 29906, 29889, 29900, 29892, 29871, 29906, 29889, 29900, 29892, 29871, 29955, 29889, 29900, 29892, 29871, 29955, 29889, 29900, 29892, 29871, 29947, 29889, 29900, 29892, 29871, 29947, 29889, 29900, 1402, 13, 4706, 5615, 13, 1678, 620, 29918, 29896, 353, 288, 567, 29918, 29896, 29889, 14513, 3319, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1800, 13, 1678, 4974, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 1686, 27445, 29918, 19935, 29898, 690, 29918, 29896, 29892, 2149, 29918, 29896, 29897, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 1596, 29898, 22793, 29918, 8411, 29889, 517, 29918, 2850, 29898, 3554, 29918, 29896, 876, 13, 1678, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 3198, 29918, 9067, 29898, 13, 4706, 288, 567, 29922, 3554, 29918, 29896, 29892, 13, 4706, 848, 3790, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1118, 13, 4706, 2149, 29922, 17854, 29918, 29896, 29892, 13, 4706, 4733, 29918, 517, 29918, 11014, 3790, 710, 29898, 1272, 29918, 15742, 29889, 3421, 4176, 29889, 3421, 4176, 3195, 3101, 1118, 29897, 13, 13, 1678, 288, 567, 29918, 29906, 353, 5153, 29878, 29898, 29881, 29896, 29922, 29881, 29896, 467, 25047, 29918, 7122, 29898, 29890, 29922, 2783, 7283, 29898, 29881, 29906, 29922, 29881, 29906, 511, 491, 29922, 1839, 29887, 7464, 14002, 668, 2433, 1266, 1495, 13, 1678, 2149, 29918, 29906, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29883, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 8516, 29892, 29871, 29941, 29889, 29900, 29892, 29871, 29946, 29889, 29900, 29892, 29871, 29896, 29889, 29900, 29892, 29871, 29941, 29889, 29900, 29892, 29871, 29946, 29889, 29900, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 29896, 29889, 29900, 29892, 29871, 29906, 29889, 29900, 29892, 29871, 29955, 29889, 29900, 29892, 29871, 29947, 29889, 29900, 29892, 29871, 29906, 29889, 29900, 29892, 29871, 29955, 29889, 29900, 29892, 29871, 29947, 29889, 29900, 1402, 13, 4706, 5615, 13, 1678, 620, 29918, 29906, 353, 288, 567, 29918, 29906, 29889, 14513, 3319, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1800, 13, 1678, 4974, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 1686, 27445, 29918, 19935, 29898, 690, 29918, 29906, 29892, 2149, 29918, 29906, 29897, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 1596, 29898, 22793, 29918, 8411, 29889, 517, 29918, 2850, 29898, 3554, 29918, 29906, 876, 13, 1678, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 3198, 29918, 9067, 29898, 13, 4706, 288, 567, 29922, 3554, 29918, 29906, 29892, 13, 4706, 848, 3790, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1118, 13, 4706, 2149, 29922, 17854, 29918, 29906, 29892, 13, 4706, 4733, 29918, 517, 29918, 11014, 3790, 710, 29898, 1272, 29918, 15742, 29889, 3421, 4176, 29889, 3421, 4176, 3195, 3101, 1118, 29897, 13, 13, 1678, 396, 1423, 1243, 338, 4549, 3307, 13, 1678, 4974, 451, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 1686, 27445, 29918, 19935, 29898, 17854, 29918, 29896, 29892, 2149, 29918, 29906, 29897, 13, 13, 1678, 396, 1055, 573, 18764, 284, 313, 1639, 571, 267, 411, 1302, 2122, 346, 29897, 13, 1678, 288, 567, 29918, 29876, 353, 5153, 29878, 29898, 29881, 29906, 29922, 29881, 29906, 467, 25047, 29918, 7122, 29898, 29890, 29922, 2783, 7283, 29898, 29881, 29896, 29922, 29881, 29896, 511, 491, 29922, 1839, 29887, 7464, 14002, 668, 2433, 1563, 1495, 13, 1678, 620, 29918, 29876, 353, 288, 567, 29918, 29876, 29889, 14513, 3319, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1800, 13, 1678, 4974, 451, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 1686, 27445, 29918, 19935, 29898, 690, 29918, 29876, 29892, 2149, 29918, 29896, 29897, 13, 1678, 4974, 451, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 1686, 27445, 29918, 19935, 29898, 690, 29918, 29876, 29892, 2149, 29918, 29906, 29897, 13, 13, 1678, 565, 21120, 29918, 8411, 338, 451, 6213, 29901, 13, 4706, 21120, 29918, 8411, 29889, 5358, 580, 13, 13, 13, 1753, 1243, 29918, 22793, 29918, 2212, 1144, 29918, 3601, 5987, 29918, 8159, 29918, 7122, 7295, 13, 1678, 21120, 29918, 8411, 353, 6213, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 21120, 29918, 8411, 353, 848, 29918, 15742, 29889, 4176, 568, 29889, 4773, 29918, 8411, 580, 13, 13, 1678, 270, 29896, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29874, 742, 525, 29874, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 29896, 29892, 6213, 29892, 29871, 29941, 29892, 29871, 29946, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 8516, 29892, 29871, 29896, 29892, 6213, 29892, 29871, 29955, 29892, 29871, 29947, 1402, 13, 1678, 5615, 13, 13, 1678, 270, 29906, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29883, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 8516, 29892, 29871, 29896, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 29896, 29892, 6213, 29892, 29871, 29906, 1402, 13, 1678, 5615, 13, 13, 1678, 5988, 29918, 13099, 353, 6024, 29887, 2033, 13, 13, 1678, 288, 567, 353, 313, 13, 4706, 5153, 29878, 29898, 29881, 29896, 29922, 29881, 29896, 29897, 13, 9651, 869, 25047, 29918, 7122, 29898, 13, 9651, 289, 29922, 2783, 7283, 29898, 29881, 29906, 29922, 29881, 29906, 511, 13, 9651, 491, 29922, 7122, 29918, 13099, 29892, 13, 9651, 14002, 668, 2433, 8159, 1495, 13, 1678, 1723, 13, 13, 1678, 620, 29918, 15112, 353, 288, 567, 29889, 14513, 3319, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1800, 13, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 1596, 29898, 22793, 29918, 8411, 29889, 517, 29918, 2850, 29898, 3554, 876, 13, 13, 1678, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 3198, 29918, 9067, 29898, 13, 4706, 288, 567, 29922, 3554, 29892, 13, 4706, 848, 3790, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1118, 13, 4706, 2149, 29922, 690, 29918, 15112, 29892, 13, 4706, 4733, 29918, 517, 29918, 11014, 3790, 710, 29898, 1272, 29918, 15742, 29889, 3421, 4176, 29889, 3421, 4176, 3195, 3101, 1118, 29897, 13, 13, 1678, 288, 567, 29918, 3601, 5987, 353, 313, 13, 4706, 396, 679, 7258, 1820, 731, 13, 4706, 5153, 29878, 29898, 29881, 29896, 29922, 29881, 29896, 29897, 13, 9651, 869, 4836, 3319, 1118, 2318, 29918, 1609, 29922, 7122, 29918, 13099, 29897, 13, 18884, 869, 17685, 29918, 5727, 29898, 13, 18884, 289, 29922, 2783, 7283, 29898, 29881, 29906, 29922, 29881, 29906, 29897, 13, 462, 1678, 869, 4836, 3319, 1118, 2318, 29918, 1609, 29922, 7122, 29918, 13099, 511, 13, 18884, 1178, 29918, 4914, 29922, 8516, 29892, 13, 9651, 1723, 13, 9651, 869, 4836, 3319, 1118, 2318, 29918, 1609, 29922, 7122, 29918, 13099, 29897, 13, 9651, 396, 29611, 2989, 5988, 411, 2175, 26205, 13, 9651, 869, 25047, 29918, 7122, 29898, 13, 18884, 289, 29922, 2783, 7283, 29898, 29881, 29896, 29922, 29881, 29896, 511, 13, 18884, 491, 29922, 7122, 29918, 13099, 29892, 13, 18884, 14002, 668, 2433, 1563, 1495, 13, 9651, 869, 25047, 29918, 7122, 29898, 13, 18884, 289, 29922, 2783, 7283, 29898, 29881, 29906, 29922, 29881, 29906, 511, 13, 18884, 491, 29922, 7122, 29918, 13099, 29892, 13, 18884, 14002, 668, 2433, 1563, 1495, 13, 1678, 1723, 13, 13, 1678, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 3198, 29918, 9067, 29898, 13, 4706, 288, 567, 29922, 3554, 29918, 3601, 5987, 29892, 13, 4706, 848, 3790, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1118, 13, 4706, 2149, 29922, 690, 29918, 15112, 29892, 13, 4706, 4733, 29918, 517, 29918, 11014, 3790, 710, 29898, 1272, 29918, 15742, 29889, 3421, 4176, 29889, 3421, 4176, 3195, 3101, 1118, 29897, 13, 13, 1678, 565, 21120, 29918, 8411, 338, 451, 6213, 29901, 13, 4706, 21120, 29918, 8411, 29889, 5358, 580, 13, 13, 13, 1753, 1243, 29918, 22793, 29918, 2212, 1144, 29918, 303, 4063, 7295, 13, 1678, 21120, 29918, 8411, 353, 6213, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 21120, 29918, 8411, 353, 848, 29918, 15742, 29889, 4176, 568, 29889, 4773, 29918, 8411, 580, 13, 13, 1678, 270, 29896, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29874, 742, 525, 29874, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 29896, 29892, 6213, 29892, 29871, 29941, 29892, 29871, 29946, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 8516, 29892, 29871, 29896, 29892, 6213, 29892, 29871, 29955, 29892, 29871, 29947, 1402, 13, 1678, 5615, 13, 13, 1678, 270, 29906, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29883, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 8516, 29892, 29871, 29896, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 29896, 29892, 6213, 29892, 29871, 29906, 1402, 13, 1678, 5615, 13, 13, 1678, 5988, 29918, 13099, 353, 6024, 29887, 2033, 13, 13, 1678, 288, 567, 353, 313, 13, 4706, 5153, 29878, 29898, 29881, 29896, 29922, 29881, 29896, 29897, 13, 9651, 869, 21843, 3319, 29915, 29894, 29896, 2396, 525, 29894, 29896, 334, 325, 29896, 29915, 1800, 13, 9651, 869, 25047, 29918, 7122, 29898, 13, 18884, 289, 7607, 13, 462, 1678, 5153, 29878, 29898, 29881, 29906, 29922, 29881, 29906, 29897, 13, 462, 4706, 869, 21843, 3319, 29915, 29894, 29906, 2396, 525, 29894, 29906, 718, 325, 29906, 29915, 1800, 511, 13, 18884, 491, 29922, 7122, 29918, 13099, 29892, 13, 18884, 14002, 668, 2433, 8159, 1495, 13, 1678, 1723, 13, 13, 1678, 620, 29918, 15112, 353, 288, 567, 29889, 14513, 3319, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1800, 13, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 1596, 29898, 22793, 29918, 8411, 29889, 517, 29918, 2850, 29898, 3554, 876, 13, 13, 1678, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 3198, 29918, 9067, 29898, 13, 4706, 288, 567, 29922, 3554, 29892, 13, 4706, 848, 3790, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1118, 13, 4706, 2149, 29922, 690, 29918, 15112, 29892, 13, 4706, 4733, 29918, 517, 29918, 11014, 3790, 710, 29898, 1272, 29918, 15742, 29889, 3421, 4176, 29889, 3421, 4176, 3195, 3101, 1118, 1723, 13, 13, 1678, 565, 21120, 29918, 8411, 338, 451, 6213, 29901, 13, 4706, 21120, 29918, 8411, 29889, 5358, 580, 13, 2 ]
pytreex/block/t2a/cs/addreflexiveparticles.py	leotilli/pytreex	11	132246	<reponame>leotilli/pytreex<filename>pytreex/block/t2a/cs/addreflexiveparticles.py #!/usr/bin/env python # coding=utf-8 # # A Treex block # from __future__ import unicode_literals from pytreex.core.block import Block from pytreex.core.exception import LoadingException import re __author__ = "<NAME>" __date__ = "2012" class AddReflexiveParticles(Block): """ Add reflexive particles to reflexiva tantum and reflexive passive verbs. Arguments: language: the language of the target tree selector: the selector of the target tree """ def __init__(self, scenario, args): "Constructor, just checking the argument values" Block.__init__(self, scenario, args) if self.language is None: raise LoadingException('Language must be defined!') def process_tnode(self, tnode): "Add reflexive particle to a node, if applicable." tantum_match = re.search(r'_(s[ei])$', tnode.t_lemma) # reflexiva tantum if tantum_match: refl_form = tantum_match.group(1) afun = 'AuxT' # reflexive passive elif tnode.voice == 'reflexive_diathesis' or \ tnode.gram_diathesis == 'deagent': refl_form = 'se' afun = 'AuxR' # no particle to add else: return # add the particle anode = tnode.lex_anode refl_node = anode.create_child() refl_node.form = refl_form refl_node.afun = afun refl_node.lemma = refl_form refl_node.morphcat_pos = 'P' refl_node.morphcat_subpos = '7' refl_node.morphcat_number = 'X' refl_node.morphcat_case = refl_form == 'si' and '3' or '4' # to be moved to Wackernagel position later refl_node.shift_after_node(anode) # add auxiliary link tnode.add_aux_anodes(refl_node)	[ 1, 529, 276, 1112, 420, 29958, 280, 327, 12840, 29914, 2272, 2484, 735, 29966, 9507, 29958, 2272, 2484, 735, 29914, 1271, 29914, 29873, 29906, 29874, 29914, 2395, 29914, 1202, 999, 2506, 573, 1595, 4027, 29889, 2272, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 14137, 29922, 9420, 29899, 29947, 13, 29937, 13, 29937, 319, 6479, 735, 2908, 13, 29937, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 3166, 11451, 2484, 735, 29889, 3221, 29889, 1271, 1053, 15658, 13, 3166, 11451, 2484, 735, 29889, 3221, 29889, 11739, 1053, 4309, 9382, 2451, 13, 5215, 337, 13, 13, 1649, 8921, 1649, 353, 9872, 5813, 11903, 13, 1649, 1256, 1649, 353, 376, 29906, 29900, 29896, 29906, 29908, 13, 13, 13, 1990, 3462, 5620, 2506, 573, 7439, 4027, 29898, 7445, 1125, 13, 1678, 9995, 13, 1678, 3462, 2143, 2506, 573, 17105, 304, 2143, 2506, 4244, 11172, 398, 322, 2143, 2506, 573, 1209, 573, 1147, 5824, 29889, 13, 13, 1678, 11842, 9331, 29901, 13, 4706, 4086, 29901, 278, 4086, 310, 278, 3646, 5447, 13, 4706, 11764, 29901, 278, 11764, 310, 278, 3646, 5447, 13, 1678, 9995, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 10483, 29892, 6389, 1125, 13, 4706, 376, 23770, 29892, 925, 8454, 278, 2980, 1819, 29908, 13, 4706, 15658, 17255, 2344, 12035, 1311, 29892, 10483, 29892, 6389, 29897, 13, 4706, 565, 1583, 29889, 11675, 338, 6213, 29901, 13, 9651, 12020, 4309, 9382, 2451, 877, 21233, 1818, 367, 3342, 29991, 1495, 13, 13, 1678, 822, 1889, 29918, 29873, 3177, 29898, 1311, 29892, 260, 3177, 1125, 13, 4706, 376, 2528, 2143, 2506, 573, 16445, 304, 263, 2943, 29892, 565, 22903, 1213, 13, 4706, 11172, 398, 29918, 4352, 353, 337, 29889, 4478, 29898, 29878, 15972, 29898, 29879, 29961, 10096, 29962, 1262, 742, 260, 3177, 29889, 29873, 29918, 13846, 29897, 13, 4706, 396, 2143, 2506, 4244, 11172, 398, 13, 4706, 565, 11172, 398, 29918, 4352, 29901, 13, 9651, 337, 1579, 29918, 689, 353, 11172, 398, 29918, 4352, 29889, 2972, 29898, 29896, 29897, 13, 9651, 2511, 348, 353, 525, 29909, 1314, 29911, 29915, 13, 4706, 396, 2143, 2506, 573, 1209, 573, 13, 4706, 25342, 260, 3177, 29889, 14917, 1275, 525, 999, 2506, 573, 29918, 6051, 493, 6656, 29915, 470, 320, 13, 18884, 260, 3177, 29889, 1393, 29918, 6051, 493, 6656, 1275, 525, 311, 14748, 2396, 13, 9651, 337, 1579, 29918, 689, 353, 525, 344, 29915, 13, 9651, 2511, 348, 353, 525, 29909, 1314, 29934, 29915, 13, 4706, 396, 694, 16445, 304, 788, 13, 4706, 1683, 29901, 13, 9651, 736, 13, 4706, 396, 788, 278, 16445, 13, 4706, 385, 356, 353, 260, 3177, 29889, 2506, 29918, 273, 356, 13, 4706, 337, 1579, 29918, 3177, 353, 385, 356, 29889, 3258, 29918, 5145, 580, 13, 4706, 337, 1579, 29918, 3177, 29889, 689, 353, 337, 1579, 29918, 689, 13, 4706, 337, 1579, 29918, 3177, 29889, 2142, 348, 353, 2511, 348, 13, 4706, 337, 1579, 29918, 3177, 29889, 13846, 353, 337, 1579, 29918, 689, 13, 4706, 337, 1579, 29918, 3177, 29889, 29885, 5676, 4117, 29918, 1066, 353, 525, 29925, 29915, 13, 4706, 337, 1579, 29918, 3177, 29889, 29885, 5676, 4117, 29918, 1491, 1066, 353, 525, 29955, 29915, 13, 4706, 337, 1579, 29918, 3177, 29889, 29885, 5676, 4117, 29918, 4537, 353, 525, 29990, 29915, 13, 4706, 337, 1579, 29918, 3177, 29889, 29885, 5676, 4117, 29918, 4878, 353, 337, 1579, 29918, 689, 1275, 525, 1039, 29915, 322, 525, 29941, 29915, 470, 525, 29946, 29915, 13, 4706, 396, 304, 367, 6153, 304, 399, 547, 824, 351, 295, 2602, 2678, 13, 4706, 337, 1579, 29918, 3177, 29889, 10889, 29918, 7045, 29918, 3177, 29898, 273, 356, 29897, 13, 4706, 396, 788, 29587, 653, 1544, 13, 4706, 260, 3177, 29889, 1202, 29918, 2993, 29918, 273, 2631, 29898, 999, 29880, 29918, 3177, 29897, 13, 2 ]
src/wissenslandkarte/settings.py	Mattan-Qwer/test1	1	78584	""" Django settings for wissenslandkarte project. Generated by 'django-admin startproject' using Django 3.1.7. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ from pathlib import Path from django.core.management.utils import get_random_secret_key import pickle import os import json # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/ DEBUG_FILE = BASE_DIR.joinpath("./data/ACTIVATE_DEBUG_MODE") # If you want to debug; create a file in the directory indicated above. DEBUG = DEBUG_FILE.exists() ENABLE_LIVE_JS = DEBUG and False # this allows to use {% if debug %} in django templates. INTERNAL_IPS = ['127.0.0.1', '::1'] SECRET_KEY_FILE = BASE_DIR.joinpath("./data/django-secret-key.pickle") def load_or_create_secret_key() -> str: # TODO we might want to record hostname and time of the secret creation in this pickle, to allow us to recognize if # it becomes a constant during docker builds. Also, we might want to delete/recreate it explicitly during # first startup. try: secret = pickle.load(open(SECRET_KEY_FILE, "rb")) return secret except FileNotFoundError: secret = get_random_secret_key() pickle.dump(secret, open(SECRET_KEY_FILE, "wb")) return secret SECRET_KEY = load_or_create_secret_key() ALLOWED_HOSTS = [ 'localhost', '127.0.0.1', '[::1]', 'python', # 'wissenslandkarte.betre<EMAIL>', ] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', # https://docs.djangoproject.com/en/3.2/ref/contrib/admin/ 'django.contrib.auth', # https://docs.djangoproject.com/en/3.2/ref/contrib/auth/ 'django.contrib.contenttypes', # https://docs.djangoproject.com/en/3.2/ref/contrib/contenttypes/ 'django.contrib.sessions', # https://docs.djangoproject.com/en/3.2/topics/http/sessions/ 'django.contrib.messages', # https://docs.djangoproject.com/en/3.2/ref/contrib/messages/ 'django.contrib.staticfiles', # https://docs.djangoproject.com/en/3.2/ref/contrib/staticfiles/ 'fontawesome_5', 'api', 'compliance', 'web_homepage', 'accounts', ] MIDDLEWARE = [ 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', # TODO both of these are not active for static files, and have to be configured in nginx again. # this applies especially to: # * CSP on static html files that are served to be displayed # * User Uploads, e.g. images. # * HSTS on every ressource. 'django.middleware.security.SecurityMiddleware', 'csp.middleware.CSPMiddleware', ] ROOT_URLCONF = 'wissenslandkarte.urls' AUTH_USER_MODEL = "accounts.User" TEMPLATES = [ { 'BACKEND': 'django.template.backends.jinja2.Jinja2', 'DIRS': ["jinja-templates"], 'APP_DIRS': True, 'OPTIONS': { 'environment': 'web_homepage.jinja.environment' }, }, { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': ["templates"], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'wissenslandkarte.wsgi.application' # Database # https://docs.djangoproject.com/en/3.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': BASE_DIR / 'data' / 'db.sqlite3', } } # Password validation # https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { # TODO we should use a german list for our target group, however, these are difficult to find. # Use Duden, given names, surnames, sports clubs and qwertz-Keywalks? # https://docs.djangoproject.com/en/3.1/topics/auth/passwords/#password-validation 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', # 'password_list_path' : '...' # This file should contain one lowercase password per line and may be plain text or gzipped. }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.1/howto/static-files/ STATIC_URL = '/static/' # STATICFILES_DIRS = ["static"] STATIC_ROOT = os.getenv("COLLECTSTATIC_DIR", None) # TODO decide how to handle development environments. # SECURE_HSTS_SECONDS = 0 # TODO # [Vue warn]: It seems you are using the standalone build of Vue.js in an environment with Content Security Policy # that prohibits unsafe-eval. The template compiler cannot work in this environment. Consider relaxing the policy to # allow unsafe-eval or pre-compiling your templates into render functions. CSP_DEFAULT_SRC = ("'self'", "'unsafe-eval'") CSP_IMG_SRC = ("'self'", "https://betreiberverein.de") if DEBUG: # this is required for live.js. CSP_DEFAULT_SRC = ("'self'", "'unsafe-inline'", "'unsafe-eval'") CSP_SCRIPT_SRC = ("'self'", "'unsafe-inline'", "'unsafe-eval'") if not DEBUG: # This should only be enabled from certain docker container builds, due to a quota; and should be configurable by the admin. # CSP_REPORT_URI = "https://p.report-uri.com/r/d/csp/enforce" pass # CSP_REPORT_TO = "default"	[ 1, 9995, 13, 29928, 5364, 6055, 363, 281, 790, 575, 1049, 5689, 371, 2060, 29889, 13, 13, 24565, 491, 525, 14095, 29899, 6406, 1369, 4836, 29915, 773, 15337, 29871, 29941, 29889, 29896, 29889, 29955, 29889, 13, 13, 2831, 901, 2472, 373, 445, 934, 29892, 1074, 13, 991, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 3332, 1199, 29914, 11027, 29914, 13, 13, 2831, 278, 2989, 1051, 310, 6055, 322, 1009, 1819, 29892, 1074, 13, 991, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 999, 29914, 11027, 29914, 13, 15945, 29908, 13, 13, 3166, 2224, 1982, 1053, 10802, 13, 3166, 9557, 29889, 3221, 29889, 21895, 29889, 13239, 1053, 679, 29918, 8172, 29918, 19024, 29918, 1989, 13, 5215, 5839, 280, 13, 5215, 2897, 13, 5215, 4390, 13, 13, 29937, 8878, 10898, 2768, 278, 2060, 763, 445, 29901, 350, 8127, 29918, 9464, 847, 525, 1491, 3972, 4286, 13, 25416, 29918, 9464, 353, 10802, 22168, 1445, 1649, 467, 17863, 2141, 3560, 29889, 3560, 13, 13, 29937, 26141, 29899, 2962, 5849, 6055, 448, 443, 2146, 8270, 363, 5802, 13, 29937, 2823, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 3525, 517, 29914, 16519, 358, 29914, 3198, 1761, 29914, 13, 13, 18525, 29918, 7724, 353, 350, 8127, 29918, 9464, 29889, 7122, 2084, 703, 6904, 1272, 29914, 17923, 5667, 3040, 29918, 18525, 29918, 20387, 1159, 13, 29937, 960, 366, 864, 304, 4744, 29936, 1653, 263, 934, 297, 278, 3884, 18694, 2038, 29889, 13, 18525, 353, 21681, 29918, 7724, 29889, 9933, 580, 13, 1430, 6181, 29918, 5265, 12064, 29918, 8700, 353, 21681, 322, 7700, 13, 29937, 445, 6511, 304, 671, 18674, 565, 4744, 15493, 297, 9557, 17475, 29889, 13, 23845, 29940, 1964, 29918, 5690, 29903, 353, 6024, 29896, 29906, 29955, 29889, 29900, 29889, 29900, 29889, 29896, 742, 525, 1057, 29896, 2033, 13, 13, 1660, 22245, 29911, 29918, 10818, 29918, 7724, 353, 350, 8127, 29918, 9464, 29889, 7122, 2084, 703, 6904, 1272, 29914, 14095, 29899, 19024, 29899, 1989, 29889, 23945, 280, 1159, 13, 13, 13, 1753, 2254, 29918, 272, 29918, 3258, 29918, 19024, 29918, 1989, 580, 1599, 851, 29901, 13, 1678, 396, 14402, 591, 1795, 864, 304, 2407, 3495, 978, 322, 931, 310, 278, 7035, 11265, 297, 445, 5839, 280, 29892, 304, 2758, 502, 304, 18720, 565, 13, 1678, 396, 29871, 372, 7415, 263, 4868, 2645, 10346, 23315, 29889, 3115, 29892, 591, 1795, 864, 304, 5217, 29914, 276, 3258, 372, 9479, 2645, 13, 1678, 396, 29871, 937, 20234, 29889, 13, 1678, 1018, 29901, 13, 4706, 7035, 353, 5839, 280, 29889, 1359, 29898, 3150, 29898, 1660, 22245, 29911, 29918, 10818, 29918, 7724, 29892, 376, 6050, 5783, 13, 4706, 736, 7035, 13, 1678, 5174, 3497, 17413, 2392, 29901, 13, 4706, 7035, 353, 679, 29918, 8172, 29918, 19024, 29918, 1989, 580, 13, 4706, 5839, 280, 29889, 15070, 29898, 19024, 29892, 1722, 29898, 1660, 22245, 29911, 29918, 10818, 29918, 7724, 29892, 376, 29893, 29890, 5783, 13, 4706, 736, 7035, 13, 13, 13, 1660, 22245, 29911, 29918, 10818, 353, 2254, 29918, 272, 29918, 3258, 29918, 19024, 29918, 1989, 580, 13, 13, 1964, 27998, 3352, 29918, 20832, 29903, 353, 518, 13, 1678, 525, 7640, 742, 13, 1678, 525, 29896, 29906, 29955, 29889, 29900, 29889, 29900, 29889, 29896, 742, 13, 1678, 525, 29961, 1057, 29896, 29962, 742, 13, 1678, 525, 4691, 742, 13, 1678, 396, 525, 29893, 790, 575, 1049, 5689, 371, 29889, 6878, 276, 29966, 26862, 6227, 29958, 742, 13, 29962, 13, 13, 29937, 8427, 5023, 13, 13, 25580, 1964, 20566, 29918, 3301, 7024, 353, 518, 13, 1678, 525, 14095, 29889, 21570, 29889, 6406, 742, 29871, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29906, 29914, 999, 29914, 21570, 29914, 6406, 29914, 13, 1678, 525, 14095, 29889, 21570, 29889, 5150, 742, 29871, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29906, 29914, 999, 29914, 21570, 29914, 5150, 29914, 13, 1678, 525, 14095, 29889, 21570, 29889, 3051, 8768, 742, 29871, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29906, 29914, 999, 29914, 21570, 29914, 3051, 8768, 29914, 13, 1678, 525, 14095, 29889, 21570, 29889, 29879, 10964, 742, 29871, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29906, 29914, 3332, 1199, 29914, 1124, 29914, 29879, 10964, 29914, 13, 1678, 525, 14095, 29889, 21570, 29889, 19158, 742, 29871, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29906, 29914, 999, 29914, 21570, 29914, 19158, 29914, 13, 1678, 525, 14095, 29889, 21570, 29889, 7959, 5325, 742, 29871, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29906, 29914, 999, 29914, 21570, 29914, 7959, 5325, 29914, 13, 1678, 525, 5657, 1450, 14151, 29918, 29945, 742, 13, 1678, 525, 2754, 742, 13, 1678, 525, 2388, 13036, 742, 13, 1678, 525, 2676, 29918, 5184, 3488, 742, 13, 1678, 525, 10149, 29879, 742, 13, 29962, 13, 13, 29924, 1367, 29928, 1307, 12982, 1525, 353, 518, 13, 1678, 525, 14095, 29889, 21570, 29889, 29879, 10964, 29889, 17662, 2519, 29889, 7317, 25411, 2519, 742, 13, 1678, 525, 14095, 29889, 17662, 2519, 29889, 9435, 29889, 18877, 25411, 2519, 742, 13, 1678, 525, 14095, 29889, 17662, 2519, 29889, 2395, 9600, 29889, 29907, 29879, 9600, 1043, 25411, 2519, 742, 13, 1678, 525, 14095, 29889, 21570, 29889, 5150, 29889, 17662, 2519, 29889, 16746, 25411, 2519, 742, 13, 1678, 525, 14095, 29889, 21570, 29889, 19158, 29889, 17662, 2519, 29889, 3728, 25411, 2519, 742, 13, 1678, 525, 14095, 29889, 17662, 2519, 29889, 3808, 21452, 292, 29889, 29990, 4308, 5856, 25411, 2519, 742, 13, 1678, 396, 14402, 1716, 310, 1438, 526, 451, 6136, 363, 2294, 2066, 29892, 322, 505, 304, 367, 13252, 297, 19376, 1449, 29889, 13, 1678, 396, 29871, 445, 16058, 7148, 304, 29901, 13, 1678, 396, 29871, 334, 315, 5550, 373, 2294, 3472, 2066, 393, 526, 6766, 304, 367, 8833, 13, 1678, 396, 29871, 334, 4911, 5020, 18132, 29892, 321, 29889, 29887, 29889, 4558, 29889, 13, 1678, 396, 29871, 334, 379, 1254, 29903, 373, 1432, 18475, 1167, 29889, 13, 1678, 525, 14095, 29889, 17662, 2519, 29889, 8926, 29889, 13228, 25411, 2519, 742, 13, 1678, 525, 29883, 1028, 29889, 17662, 2519, 29889, 29907, 5550, 25411, 2519, 742, 13, 29962, 13, 13, 21289, 29918, 4219, 6007, 29943, 353, 525, 29893, 790, 575, 1049, 5689, 371, 29889, 26045, 29915, 13, 20656, 29950, 29918, 11889, 29918, 20387, 29931, 353, 376, 10149, 29879, 29889, 2659, 29908, 13, 4330, 3580, 29931, 1299, 2890, 353, 518, 13, 1678, 426, 13, 4706, 525, 29933, 11375, 11794, 2396, 525, 14095, 29889, 6886, 29889, 1627, 1975, 29889, 28789, 1764, 29906, 29889, 29967, 262, 1764, 29906, 742, 13, 4706, 525, 9464, 29903, 2396, 6796, 28789, 1764, 29899, 20943, 12436, 13, 4706, 525, 20576, 29918, 9464, 29903, 2396, 5852, 29892, 13, 4706, 525, 14094, 27946, 2396, 426, 13, 9651, 525, 20944, 2396, 525, 2676, 29918, 5184, 3488, 29889, 28789, 1764, 29889, 20944, 29915, 13, 4706, 2981, 13, 1678, 2981, 13, 1678, 426, 13, 4706, 525, 29933, 11375, 11794, 2396, 525, 14095, 29889, 6886, 29889, 1627, 1975, 29889, 14095, 29889, 29928, 5364, 5776, 9884, 742, 13, 4706, 525, 9464, 29903, 2396, 6796, 20943, 12436, 13, 4706, 525, 20576, 29918, 9464, 29903, 2396, 5852, 29892, 13, 4706, 525, 14094, 27946, 2396, 426, 13, 9651, 525, 4703, 29918, 5014, 943, 2396, 518, 13, 18884, 525, 14095, 29889, 6886, 29889, 4703, 29918, 5014, 943, 29889, 8382, 742, 13, 18884, 525, 14095, 29889, 6886, 29889, 4703, 29918, 5014, 943, 29889, 3827, 742, 13, 18884, 525, 14095, 29889, 21570, 29889, 5150, 29889, 4703, 29918, 5014, 943, 29889, 5150, 742, 13, 18884, 525, 14095, 29889, 21570, 29889, 19158, 29889, 4703, 29918, 5014, 943, 29889, 19158, 742, 13, 9651, 21251, 13, 4706, 2981, 13, 1678, 2981, 13, 29962, 13, 13, 7811, 29954, 29902, 29918, 3301, 7390, 28541, 353, 525, 29893, 790, 575, 1049, 5689, 371, 29889, 5652, 3146, 29889, 6214, 29915, 13, 13, 29937, 5470, 13, 29937, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 999, 29914, 11027, 8484, 29503, 2129, 13, 13, 25832, 27982, 29903, 353, 426, 13, 1678, 525, 4381, 2396, 426, 13, 4706, 525, 1430, 29954, 8895, 2396, 525, 14095, 29889, 2585, 29889, 1627, 1975, 29889, 22793, 29941, 742, 13, 4706, 525, 5813, 2396, 350, 8127, 29918, 9464, 847, 525, 1272, 29915, 847, 525, 2585, 29889, 22793, 29941, 742, 13, 1678, 500, 13, 29913, 13, 13, 29937, 25280, 8845, 13, 29937, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 999, 29914, 11027, 8484, 5150, 29899, 5630, 29899, 3084, 4097, 13, 13, 20656, 29950, 29918, 25711, 17013, 29918, 26707, 1299, 24125, 353, 518, 13, 1678, 426, 13, 4706, 525, 5813, 2396, 525, 14095, 29889, 21570, 29889, 5150, 29889, 5630, 29918, 18157, 29889, 2659, 6708, 8942, 2327, 537, 24204, 742, 13, 1678, 2981, 13, 1678, 426, 13, 4706, 525, 5813, 2396, 525, 14095, 29889, 21570, 29889, 5150, 29889, 5630, 29918, 18157, 29889, 8140, 12539, 6513, 24204, 742, 13, 1678, 2981, 13, 1678, 426, 13, 4706, 396, 14402, 591, 881, 671, 263, 330, 3504, 1051, 363, 1749, 3646, 2318, 29892, 3138, 29892, 1438, 526, 5189, 304, 1284, 29889, 13, 4706, 396, 29871, 4803, 360, 27336, 29892, 2183, 2983, 29892, 269, 595, 1280, 29892, 14717, 17651, 322, 3855, 16347, 29920, 29899, 2558, 14625, 2039, 29973, 13, 4706, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 3332, 1199, 29914, 5150, 29914, 5630, 29879, 8484, 5630, 29899, 18157, 13, 4706, 525, 5813, 2396, 525, 14095, 29889, 21570, 29889, 5150, 29889, 5630, 29918, 18157, 29889, 18877, 10048, 24204, 742, 13, 4706, 396, 525, 5630, 29918, 1761, 29918, 2084, 29915, 584, 525, 856, 29915, 13, 4706, 396, 910, 934, 881, 1712, 697, 5224, 4878, 4800, 639, 1196, 322, 1122, 367, 8656, 1426, 470, 330, 2526, 2986, 29889, 13, 1678, 2981, 13, 1678, 426, 13, 4706, 525, 5813, 2396, 525, 14095, 29889, 21570, 29889, 5150, 29889, 5630, 29918, 18157, 29889, 29940, 25099, 10048, 24204, 742, 13, 1678, 2981, 13, 29962, 13, 13, 29937, 4623, 2133, 13, 29937, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 3332, 1199, 29914, 29875, 29896, 29947, 29876, 29914, 13, 13, 29931, 19453, 29965, 10461, 29918, 16524, 353, 525, 264, 29899, 375, 29915, 13, 13, 15307, 29918, 29999, 12413, 353, 525, 26913, 29915, 13, 13, 17171, 29918, 29902, 29896, 29947, 29940, 353, 5852, 13, 13, 17171, 29918, 29931, 29896, 29900, 29940, 353, 5852, 13, 13, 17171, 29918, 29911, 29999, 353, 5852, 13, 13, 29937, 624, 2454, 2066, 313, 19407, 29892, 8286, 29892, 1954, 1179, 29897, 13, 29937, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 3525, 517, 29914, 7959, 29899, 5325, 29914, 13, 13, 17816, 2965, 29918, 4219, 353, 8207, 7959, 22208, 13, 29937, 6850, 1299, 2965, 24483, 29918, 9464, 29903, 353, 6796, 7959, 3108, 13, 17816, 2965, 29918, 21289, 353, 2897, 29889, 657, 6272, 703, 15032, 3281, 17816, 2965, 29918, 9464, 613, 6213, 29897, 13, 13, 29937, 14402, 11097, 920, 304, 4386, 5849, 23136, 29889, 13, 29937, 3725, 29907, 11499, 29918, 29950, 1254, 29903, 29918, 1660, 6007, 8452, 353, 29871, 29900, 13, 13, 29937, 14402, 13, 29937, 29871, 518, 29963, 434, 29383, 5387, 739, 2444, 366, 526, 773, 278, 2317, 18785, 2048, 310, 22518, 29889, 1315, 297, 385, 5177, 411, 10576, 14223, 25219, 13, 29937, 29871, 393, 21460, 1169, 25110, 29899, 14513, 29889, 450, 4472, 6516, 2609, 664, 297, 445, 5177, 29889, 10056, 26681, 292, 278, 8898, 304, 13, 29937, 29871, 2758, 25110, 29899, 14513, 470, 758, 29899, 2388, 6504, 596, 17475, 964, 4050, 3168, 29889, 13, 29907, 5550, 29918, 23397, 29918, 29903, 10363, 353, 4852, 29915, 1311, 29915, 613, 13577, 348, 11177, 29899, 14513, 29915, 1159, 13, 29907, 5550, 29918, 7833, 29954, 29918, 29903, 10363, 353, 4852, 29915, 1311, 29915, 613, 376, 991, 597, 6878, 5803, 495, 22655, 29889, 311, 1159, 13, 361, 21681, 29901, 13, 1678, 396, 445, 338, 3734, 363, 5735, 29889, 1315, 29889, 13, 1678, 315, 5550, 29918, 23397, 29918, 29903, 10363, 353, 4852, 29915, 1311, 29915, 613, 13577, 348, 11177, 29899, 14764, 29915, 613, 13577, 348, 11177, 29899, 14513, 29915, 1159, 13, 1678, 315, 5550, 29918, 7187, 24290, 29918, 29903, 10363, 353, 4852, 29915, 1311, 29915, 613, 13577, 348, 11177, 29899, 14764, 29915, 613, 13577, 348, 11177, 29899, 14513, 29915, 1159, 13, 361, 451, 21681, 29901, 13, 1678, 396, 910, 881, 871, 367, 9615, 515, 3058, 10346, 5639, 23315, 29892, 2861, 304, 263, 439, 4616, 29936, 322, 881, 367, 17127, 519, 491, 278, 4113, 29889, 13, 1678, 396, 315, 5550, 29918, 1525, 15082, 29918, 15551, 353, 376, 991, 597, 29886, 29889, 12276, 29899, 5338, 29889, 510, 29914, 29878, 29914, 29881, 29914, 29883, 1028, 29914, 264, 10118, 29908, 13, 1678, 1209, 13, 29937, 315, 5550, 29918, 1525, 15082, 29918, 4986, 353, 376, 4381, 29908, 13, 2 ]
mayan/apps/storage/tests/test_backends.py	morlandi/Mayan-EDMS	0	72169	from pathlib import Path from django.core.files.base import ContentFile from django.utils.encoding import force_bytes from mayan.apps.mimetype.api import get_mimetype from mayan.apps.storage.utils import fs_cleanup, mkdtemp from mayan.apps.testing.tests.base import BaseTestCase from ..backends.compressedstorage import ZipCompressedPassthroughStorage from ..backends.encryptedstorage import EncryptedPassthroughStorage from .literals import TEST_CONTENT, TEST_FILE_NAME class EncryptedPassthroughStorageTestCase(BaseTestCase): def setUp(self): super(EncryptedPassthroughStorageTestCase, self).setUp() self.temporary_directory = mkdtemp() def tearDown(self): fs_cleanup(filename=self.temporary_directory) super(EncryptedPassthroughStorageTestCase, self).tearDown() def test_file_save_and_load(self): storage = EncryptedPassthroughStorage( password='<PASSWORD>', next_storage_backend_arguments={ 'location': self.temporary_directory, } ) test_file_name = storage.save( name=TEST_FILE_NAME, content=ContentFile( content=force_bytes(TEST_CONTENT) ) ) path_file = Path(self.temporary_directory) / test_file_name with path_file.open(mode='rb') as file_object: self.assertEqual( get_mimetype(file_object=file_object), ('application/octet-stream', 'binary') ) with storage.open(name=TEST_FILE_NAME, mode='r') as file_object: self.assertEqual(file_object.read(), TEST_CONTENT) with storage.open(name=TEST_FILE_NAME, mode='r') as file_object: self.assertEqual(file_object.read(1), TEST_CONTENT[0:1]) with storage.open(name=TEST_FILE_NAME, mode='r') as file_object: self.assertEqual(file_object.read(999), TEST_CONTENT) class ZipCompressedPassthroughStorageTestCase(BaseTestCase): def setUp(self): super(ZipCompressedPassthroughStorageTestCase, self).setUp() self.temporary_directory = mkdtemp() def tearDown(self): fs_cleanup(filename=self.temporary_directory) super(ZipCompressedPassthroughStorageTestCase, self).tearDown() def test_file_save_and_load(self): storage = ZipCompressedPassthroughStorage( next_storage_backend_arguments={ 'location': self.temporary_directory } ) test_file_name = storage.save( name=TEST_FILE_NAME, content=ContentFile(content=TEST_CONTENT) ) path_file = Path(self.temporary_directory) / test_file_name with path_file.open(mode='rb') as file_object: self.assertEqual( get_mimetype(file_object=file_object), ('application/zip', 'binary') ) with path_file.open(mode='rb') as file_object: self.assertNotEqual( file_object.read(), force_bytes(TEST_CONTENT) ) with storage.open(name=TEST_FILE_NAME, mode='r') as file_object: self.assertEqual(file_object.read(), TEST_CONTENT)	[ 1, 515, 2224, 1982, 1053, 10802, 13, 13, 3166, 9557, 29889, 3221, 29889, 5325, 29889, 3188, 1053, 10576, 2283, 13, 3166, 9557, 29889, 13239, 29889, 22331, 1053, 4889, 29918, 13193, 13, 13, 3166, 1122, 273, 29889, 13371, 29889, 29885, 17528, 668, 29889, 2754, 1053, 679, 29918, 29885, 17528, 668, 13, 3166, 1122, 273, 29889, 13371, 29889, 12925, 29889, 13239, 1053, 18920, 29918, 14941, 786, 29892, 14690, 29881, 7382, 13, 3166, 1122, 273, 29889, 13371, 29889, 13424, 29889, 21150, 29889, 3188, 1053, 7399, 3057, 8259, 13, 13, 3166, 6317, 1627, 1975, 29889, 510, 13120, 12925, 1053, 796, 666, 1523, 13120, 29925, 294, 303, 1092, 820, 10486, 13, 3166, 6317, 1627, 1975, 29889, 3977, 14740, 12925, 1053, 11346, 14740, 29925, 294, 303, 1092, 820, 10486, 13, 13, 3166, 869, 20889, 1338, 1053, 17067, 1254, 29918, 22412, 3919, 29892, 17067, 1254, 29918, 7724, 29918, 5813, 13, 13, 13, 1990, 11346, 14740, 29925, 294, 303, 1092, 820, 10486, 3057, 8259, 29898, 5160, 3057, 8259, 1125, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 2428, 29898, 8566, 14740, 29925, 294, 303, 1092, 820, 10486, 3057, 8259, 29892, 1583, 467, 842, 3373, 580, 13, 4706, 1583, 29889, 1356, 1971, 653, 29918, 12322, 353, 14690, 29881, 7382, 580, 13, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 1125, 13, 4706, 18920, 29918, 14941, 786, 29898, 9507, 29922, 1311, 29889, 1356, 1971, 653, 29918, 12322, 29897, 13, 4706, 2428, 29898, 8566, 14740, 29925, 294, 303, 1092, 820, 10486, 3057, 8259, 29892, 1583, 467, 371, 279, 6767, 580, 13, 13, 1678, 822, 1243, 29918, 1445, 29918, 7620, 29918, 392, 29918, 1359, 29898, 1311, 1125, 13, 4706, 8635, 353, 11346, 14740, 29925, 294, 303, 1092, 820, 10486, 29898, 13, 9651, 4800, 2433, 29966, 25711, 17013, 29958, 742, 13, 9651, 2446, 29918, 12925, 29918, 27852, 29918, 25699, 3790, 13, 18884, 525, 5479, 2396, 1583, 29889, 1356, 1971, 653, 29918, 12322, 29892, 13, 9651, 500, 13, 4706, 1723, 13, 13, 4706, 1243, 29918, 1445, 29918, 978, 353, 8635, 29889, 7620, 29898, 13, 9651, 1024, 29922, 18267, 29918, 7724, 29918, 5813, 29892, 2793, 29922, 3916, 2283, 29898, 13, 18884, 2793, 29922, 10118, 29918, 13193, 29898, 18267, 29918, 22412, 3919, 29897, 13, 9651, 1723, 13, 4706, 1723, 13, 13, 4706, 2224, 29918, 1445, 353, 10802, 29898, 1311, 29889, 1356, 1971, 653, 29918, 12322, 29897, 847, 1243, 29918, 1445, 29918, 978, 13, 13, 4706, 411, 2224, 29918, 1445, 29889, 3150, 29898, 8513, 2433, 6050, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 9843, 29898, 13, 18884, 679, 29918, 29885, 17528, 668, 29898, 1445, 29918, 3318, 29922, 1445, 29918, 3318, 511, 13, 18884, 6702, 6214, 29914, 20082, 300, 29899, 5461, 742, 525, 19541, 1495, 13, 9651, 1723, 13, 13, 4706, 411, 8635, 29889, 3150, 29898, 978, 29922, 18267, 29918, 7724, 29918, 5813, 29892, 4464, 2433, 29878, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 9843, 29898, 1445, 29918, 3318, 29889, 949, 3285, 17067, 1254, 29918, 22412, 3919, 29897, 13, 13, 4706, 411, 8635, 29889, 3150, 29898, 978, 29922, 18267, 29918, 7724, 29918, 5813, 29892, 4464, 2433, 29878, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 9843, 29898, 1445, 29918, 3318, 29889, 949, 29898, 29896, 511, 17067, 1254, 29918, 22412, 3919, 29961, 29900, 29901, 29896, 2314, 13, 13, 4706, 411, 8635, 29889, 3150, 29898, 978, 29922, 18267, 29918, 7724, 29918, 5813, 29892, 4464, 2433, 29878, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 9843, 29898, 1445, 29918, 3318, 29889, 949, 29898, 29929, 29929, 29929, 511, 17067, 1254, 29918, 22412, 3919, 29897, 13, 13, 13, 1990, 796, 666, 1523, 13120, 29925, 294, 303, 1092, 820, 10486, 3057, 8259, 29898, 5160, 3057, 8259, 1125, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 2428, 29898, 26264, 1523, 13120, 29925, 294, 303, 1092, 820, 10486, 3057, 8259, 29892, 1583, 467, 842, 3373, 580, 13, 4706, 1583, 29889, 1356, 1971, 653, 29918, 12322, 353, 14690, 29881, 7382, 580, 13, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 1125, 13, 4706, 18920, 29918, 14941, 786, 29898, 9507, 29922, 1311, 29889, 1356, 1971, 653, 29918, 12322, 29897, 13, 4706, 2428, 29898, 26264, 1523, 13120, 29925, 294, 303, 1092, 820, 10486, 3057, 8259, 29892, 1583, 467, 371, 279, 6767, 580, 13, 13, 1678, 822, 1243, 29918, 1445, 29918, 7620, 29918, 392, 29918, 1359, 29898, 1311, 1125, 13, 4706, 8635, 353, 796, 666, 1523, 13120, 29925, 294, 303, 1092, 820, 10486, 29898, 13, 9651, 2446, 29918, 12925, 29918, 27852, 29918, 25699, 3790, 13, 18884, 525, 5479, 2396, 1583, 29889, 1356, 1971, 653, 29918, 12322, 13, 9651, 500, 13, 4706, 1723, 13, 13, 4706, 1243, 29918, 1445, 29918, 978, 353, 8635, 29889, 7620, 29898, 13, 9651, 1024, 29922, 18267, 29918, 7724, 29918, 5813, 29892, 2793, 29922, 3916, 2283, 29898, 3051, 29922, 18267, 29918, 22412, 3919, 29897, 13, 4706, 1723, 13, 13, 4706, 2224, 29918, 1445, 353, 10802, 29898, 1311, 29889, 1356, 1971, 653, 29918, 12322, 29897, 847, 1243, 29918, 1445, 29918, 978, 13, 13, 4706, 411, 2224, 29918, 1445, 29889, 3150, 29898, 8513, 2433, 6050, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 9843, 29898, 13, 18884, 679, 29918, 29885, 17528, 668, 29898, 1445, 29918, 3318, 29922, 1445, 29918, 3318, 511, 13, 18884, 6702, 6214, 29914, 7554, 742, 525, 19541, 1495, 13, 9651, 1723, 13, 13, 4706, 411, 2224, 29918, 1445, 29889, 3150, 29898, 8513, 2433, 6050, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 3664, 9843, 29898, 13, 18884, 934, 29918, 3318, 29889, 949, 3285, 4889, 29918, 13193, 29898, 18267, 29918, 22412, 3919, 29897, 13, 9651, 1723, 13, 13, 4706, 411, 8635, 29889, 3150, 29898, 978, 29922, 18267, 29918, 7724, 29918, 5813, 29892, 4464, 2433, 29878, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 9843, 29898, 1445, 29918, 3318, 29889, 949, 3285, 17067, 1254, 29918, 22412, 3919, 29897, 13, 2 ]
models/__init__.py	jmojoo/MLMO	0	42627	<gh_stars>0 from .extractors import AlexNet	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 869, 21111, 943, 1053, 4827, 6779, 2 ]
scripts/python-phoniebox/helpers_unused_atm/helpers.py	Microgenic/RPi-Jukebox-RFID	3	147263	<gh_stars>1-10 __name__ = "helpers" def is_int(s): """ return True if string is an int """ try: int(s) return True except ValueError: return False def str2bool(s): """ convert string to a python boolean """ return s.lower() in ("yes", "true", "t", "1") def str2num(s): """ convert string to an int or a float """ try: return int(s) except ValueError: return float(s)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 1649, 978, 1649, 353, 376, 3952, 6774, 29908, 13, 13, 1753, 338, 29918, 524, 29898, 29879, 1125, 13, 1678, 9995, 736, 5852, 565, 1347, 338, 385, 938, 9995, 13, 1678, 1018, 29901, 13, 4706, 938, 29898, 29879, 29897, 13, 4706, 736, 5852, 13, 1678, 5174, 7865, 2392, 29901, 13, 4706, 736, 7700, 13, 13, 1753, 851, 29906, 11227, 29898, 29879, 1125, 13, 1678, 9995, 3588, 1347, 304, 263, 3017, 7223, 9995, 13, 1678, 736, 269, 29889, 13609, 580, 297, 4852, 3582, 613, 376, 3009, 613, 376, 29873, 613, 376, 29896, 1159, 13, 13, 1753, 851, 29906, 1949, 29898, 29879, 1125, 13, 1678, 9995, 3588, 1347, 304, 385, 938, 470, 263, 5785, 9995, 13, 1678, 1018, 29901, 13, 4706, 736, 938, 29898, 29879, 29897, 13, 1678, 5174, 7865, 2392, 29901, 13, 4706, 736, 5785, 29898, 29879, 29897, 13, 2 ]
soccerpy/__init__.py	SlapBot/soccerpy	0	169328	<gh_stars>0 from soccerpy.modules.Competition.competition import Competition from soccerpy.modules.Fixture.fixture import Fixture from soccerpy.modules.Team.team import Team	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 269, 11953, 2272, 29889, 7576, 29889, 6843, 300, 654, 29889, 2388, 300, 654, 1053, 24620, 654, 13, 3166, 269, 11953, 2272, 29889, 7576, 29889, 18800, 15546, 29889, 7241, 15546, 1053, 383, 29875, 15546, 13, 3166, 269, 11953, 2272, 29889, 7576, 29889, 19409, 29889, 14318, 1053, 8583, 13, 2 ]
tests/test_units/test_units.py	dcambie/spectrochempy	3	1612441	<filename>tests/test_units/test_units.py<gh_stars>1-10 # -- coding: utf-8 -- # ====================================================================================================================== # Copyright (©) 2015-2021 LCS - Laboratoire Catalyse et Spectrochimie, Caen, France. = # CeCILL-B FREE SOFTWARE LICENSE AGREEMENT - See full LICENSE agreement in the root directory = # ====================================================================================================================== from spectrochempy import ur, set_nmr_context, Quantity def test_ppm(): x = 1 * ur.ppm assert x.units == ur.ppm def test_nmr_context(): set_nmr_context(larmor=104.3 * ur.MHz) fhz = 10000 * ur.Hz with ur.context('nmr'): fppm = fhz.to('ppm') assert "{:~.3f}".format(fppm) == '95.877 ppm' print("{:.1f}".format(fppm)) with ur.context('nmr'): fhz = fppm.to('Hz') assert "{:~.3f}".format(fhz) == '10000.000 Hz' print("{:.1f}".format(fhz)) def test_units(): assert 10 * ur.km == 10000 * ur.m assert ur.km / ur.m == 1000. x = (ur.km / ur.m) assert x.dimensionless def test_repr_html(): a = Quantity(10, 's/km') assert "{}".format(a) == "10 second / kilometer" assert a._repr_html_() == "10 s.km<sup>-1</sup>" def test_unit_dimensionality(): a = Quantity(1., 'cm') b = a / Quantity(1., 'km') assert b._repr_html_() == '1.0 scaled-dimensionless (1e-05)' # def test_matplotlib(): # # import matplotlib.pyplot as plt # import numpy as np # import pint # # ureg = pint.UnitRegistry() # ureg.setup_matplotlib(True) # # y = np.linspace(0, 30) * ureg.miles # x = np.linspace(0, 5) * ureg.hours # # fig, ax = plt.subplots() # ax.yaxis.set_units(ureg.inches) # ax.xaxis.set_units(ureg.seconds) # # ax.plot(x, y, 'tab:blue') # # ax.axhline(26400 * ureg.feet, color='tab:red') # ax.axvline(120 * ureg.minutes, color='tab:green') # # # here we just test that we can add some label to the default unit labeling # ax.set_xlabel('xxx ({})'.format(ax.get_xlabel())) # assert ax.get_xlabel() == 'xxx (second)' # # show()	[ 1, 529, 9507, 29958, 21150, 29914, 1688, 29918, 348, 1169, 29914, 1688, 29918, 348, 1169, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 29937, 1275, 9166, 9166, 9166, 9166, 9166, 9166, 9166, 2751, 13, 29937, 29871, 14187, 1266, 313, 30211, 29897, 29871, 29906, 29900, 29896, 29945, 29899, 29906, 29900, 29906, 29896, 365, 9295, 448, 16715, 20141, 11732, 29891, 344, 634, 27738, 307, 305, 326, 347, 29892, 9243, 264, 29892, 3444, 29889, 462, 462, 29871, 353, 13, 29937, 29871, 7747, 8426, 2208, 29899, 29933, 383, 21661, 7791, 7818, 12982, 1525, 365, 2965, 1430, 1660, 16369, 1525, 12665, 3919, 448, 2823, 2989, 365, 2965, 1430, 1660, 17327, 297, 278, 3876, 3884, 462, 308, 353, 13, 29937, 1275, 9166, 9166, 9166, 9166, 9166, 9166, 9166, 2751, 13, 13, 3166, 6683, 307, 14969, 2272, 1053, 5065, 29892, 731, 29918, 22882, 29878, 29918, 4703, 29892, 22746, 537, 13, 13, 13, 1753, 1243, 29918, 407, 29885, 7295, 13, 1678, 921, 353, 29871, 29896, 334, 5065, 29889, 407, 29885, 13, 1678, 4974, 921, 29889, 348, 1169, 1275, 5065, 29889, 407, 29885, 13, 13, 13, 1753, 1243, 29918, 22882, 29878, 29918, 4703, 7295, 13, 1678, 731, 29918, 22882, 29878, 29918, 4703, 29898, 29880, 2817, 272, 29922, 29896, 29900, 29946, 29889, 29941, 334, 5065, 29889, 29924, 12661, 29897, 13, 1678, 285, 29882, 29920, 353, 29871, 29896, 29900, 29900, 29900, 29900, 334, 5065, 29889, 12661, 13, 1678, 411, 5065, 29889, 4703, 877, 22882, 29878, 29374, 13, 4706, 285, 407, 29885, 353, 285, 29882, 29920, 29889, 517, 877, 407, 29885, 1495, 13, 1678, 4974, 376, 25641, 30022, 29889, 29941, 29888, 29913, 1642, 4830, 29898, 29888, 407, 29885, 29897, 1275, 525, 29929, 29945, 29889, 29947, 29955, 29955, 282, 3358, 29915, 13, 1678, 1596, 703, 25641, 29889, 29896, 29888, 29913, 1642, 4830, 29898, 29888, 407, 29885, 876, 13, 13, 1678, 411, 5065, 29889, 4703, 877, 22882, 29878, 29374, 13, 4706, 285, 29882, 29920, 353, 285, 407, 29885, 29889, 517, 877, 12661, 1495, 13, 1678, 4974, 376, 25641, 30022, 29889, 29941, 29888, 29913, 1642, 4830, 29898, 29888, 29882, 29920, 29897, 1275, 525, 29896, 29900, 29900, 29900, 29900, 29889, 29900, 29900, 29900, 379, 29920, 29915, 13, 1678, 1596, 703, 25641, 29889, 29896, 29888, 29913, 1642, 4830, 29898, 29888, 29882, 29920, 876, 13, 13, 13, 1753, 1243, 29918, 348, 1169, 7295, 13, 1678, 4974, 29871, 29896, 29900, 334, 5065, 29889, 8848, 1275, 29871, 29896, 29900, 29900, 29900, 29900, 334, 5065, 29889, 29885, 13, 1678, 4974, 5065, 29889, 8848, 847, 5065, 29889, 29885, 1275, 29871, 29896, 29900, 29900, 29900, 29889, 13, 1678, 921, 353, 313, 332, 29889, 8848, 847, 5065, 29889, 29885, 29897, 13, 1678, 4974, 921, 29889, 6229, 2673, 2222, 13, 13, 13, 1753, 1243, 29918, 276, 558, 29918, 1420, 7295, 13, 1678, 263, 353, 22746, 537, 29898, 29896, 29900, 29892, 525, 29879, 29914, 8848, 1495, 13, 1678, 4974, 376, 8875, 1642, 4830, 29898, 29874, 29897, 1275, 376, 29896, 29900, 1473, 847, 23836, 29908, 13, 1678, 4974, 263, 3032, 276, 558, 29918, 1420, 29918, 580, 1275, 376, 29896, 29900, 269, 29889, 8848, 29966, 12587, 29958, 29899, 29896, 829, 12587, 11903, 13, 13, 13, 1753, 1243, 29918, 5441, 29918, 12531, 537, 7295, 13, 1678, 263, 353, 22746, 537, 29898, 29896, 1696, 525, 4912, 1495, 13, 1678, 289, 353, 263, 847, 22746, 537, 29898, 29896, 1696, 525, 8848, 1495, 13, 1678, 4974, 289, 3032, 276, 558, 29918, 1420, 29918, 580, 1275, 525, 29896, 29889, 29900, 6287, 29881, 29899, 6229, 2673, 2222, 313, 29896, 29872, 29899, 29900, 29945, 16029, 13, 13, 29937, 822, 1243, 29918, 2922, 17357, 7295, 13, 29937, 13, 29937, 268, 1053, 22889, 29889, 2272, 5317, 408, 14770, 13, 29937, 268, 1053, 12655, 408, 7442, 13, 29937, 268, 1053, 16483, 13, 29937, 13, 29937, 268, 318, 1727, 353, 16483, 29889, 8325, 22579, 580, 13, 29937, 268, 318, 1727, 29889, 14669, 29918, 2922, 17357, 29898, 5574, 29897, 13, 29937, 13, 29937, 268, 343, 353, 7442, 29889, 1915, 3493, 29898, 29900, 29892, 29871, 29941, 29900, 29897, 334, 318, 1727, 29889, 29885, 5475, 13, 29937, 268, 921, 353, 7442, 29889, 1915, 3493, 29898, 29900, 29892, 29871, 29945, 29897, 334, 318, 1727, 29889, 29882, 2470, 13, 29937, 13, 29937, 268, 2537, 29892, 4853, 353, 14770, 29889, 1491, 26762, 580, 13, 29937, 268, 4853, 29889, 29891, 8990, 29889, 842, 29918, 348, 1169, 29898, 545, 29887, 29889, 262, 6609, 29897, 13, 29937, 268, 4853, 29889, 29916, 8990, 29889, 842, 29918, 348, 1169, 29898, 545, 29887, 29889, 23128, 29897, 13, 29937, 13, 29937, 268, 4853, 29889, 5317, 29898, 29916, 29892, 343, 29892, 525, 3891, 29901, 9539, 1495, 13, 29937, 13, 29937, 268, 4853, 29889, 1165, 7760, 29898, 29906, 29953, 29946, 29900, 29900, 334, 318, 1727, 29889, 1725, 300, 29892, 2927, 2433, 3891, 29901, 1127, 1495, 13, 29937, 268, 4853, 29889, 1165, 29894, 1220, 29898, 29896, 29906, 29900, 334, 318, 1727, 29889, 1195, 2667, 29892, 2927, 2433, 3891, 29901, 12692, 1495, 13, 29937, 13, 29937, 268, 396, 1244, 591, 925, 1243, 393, 591, 508, 788, 777, 3858, 304, 278, 2322, 5190, 3858, 292, 13, 29937, 268, 4853, 29889, 842, 29918, 29916, 1643, 877, 12353, 21313, 1800, 4286, 4830, 29898, 1165, 29889, 657, 29918, 29916, 1643, 22130, 13, 29937, 268, 4974, 4853, 29889, 657, 29918, 29916, 1643, 580, 1275, 525, 12353, 313, 7496, 16029, 13, 29937, 13, 29937, 268, 1510, 580, 13, 2 ]
research/cv/vit_base/eval.py	leelige/mindspore	1	159518	<reponame>leelige/mindspore # Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ """ Process the test set with the .ckpt model in turn. """ import argparse import mindspore.nn as nn from mindspore import context from mindspore.train.model import Model from mindspore.train.serialization import load_checkpoint, load_param_into_net from mindspore.common import set_seed from mindspore import Tensor from mindspore.common import dtype as mstype from mindspore.nn.loss.loss import LossBase from mindspore.ops import functional as F from mindspore.ops import operations as P from src.config import cifar10_cfg from src.dataset import create_dataset_cifar10 from src.modeling_ms import VisionTransformer import src.net_config as configs set_seed(1) parser = argparse.ArgumentParser(description='vit_base') parser.add_argument('--dataset_name', type=str, default='cifar10', choices=['cifar10'], help='dataset name.') parser.add_argument('--sub_type', type=str, default='ViT-B_16', choices=['ViT-B_16', 'ViT-B_32', 'ViT-L_16', 'ViT-L_32', 'ViT-H_14', 'testing']) parser.add_argument('--checkpoint_path', type=str, default='./ckpt_0', help='Checkpoint file path') parser.add_argument('--id', type=int, default=0, help='Device id') args_opt = parser.parse_args() class CrossEntropySmooth(LossBase): """CrossEntropy""" def __init__(self, sparse=True, reduction='mean', smooth_factor=0., num_classes=1000): super(CrossEntropySmooth, self).__init__() self.onehot = P.OneHot() self.sparse = sparse self.on_value = Tensor(1.0 - smooth_factor, mstype.float32) self.off_value = Tensor(1.0 * smooth_factor / (num_classes - 1), mstype.float32) self.ce = nn.SoftmaxCrossEntropyWithLogits(reduction=reduction) def construct(self, logit, label): if self.sparse: label = self.onehot(label, F.shape(logit)[1], self.on_value, self.off_value) loss_ = self.ce(logit, label) return loss_ if __name__ == '__main__': CONFIGS = {'ViT-B_16': configs.get_b16_config, 'ViT-B_32': configs.get_b32_config, 'ViT-L_16': configs.get_l16_config, 'ViT-L_32': configs.get_l32_config, 'ViT-H_14': configs.get_h14_config, 'R50-ViT-B_16': configs.get_r50_b16_config, 'testing': configs.get_testing} context.set_context(mode=context.GRAPH_MODE, device_target='Ascend', device_id=args_opt.id) if args_opt.dataset_name == "cifar10": cfg = cifar10_cfg net = VisionTransformer(CONFIGS[args_opt.sub_type], num_classes=cfg.num_classes) loss = nn.SoftmaxCrossEntropyWithLogits(sparse=True, reduction='mean') opt = nn.Momentum(net.trainable_params(), 0.01, cfg.momentum, weight_decay=cfg.weight_decay) dataset = create_dataset_cifar10(cfg.val_data_path, 1, False) param_dict = load_checkpoint(args_opt.checkpoint_path) print("load checkpoint from [{}].".format(args_opt.checkpoint_path)) load_param_into_net(net, param_dict) net.set_train(False) model = Model(net, loss_fn=loss, optimizer=opt, metrics={'acc'}) else: raise ValueError("dataset is not support.") acc = model.eval(dataset) print(f"model's accuracy is {acc}")	[ 1, 529, 276, 1112, 420, 29958, 280, 295, 2231, 29914, 24021, 1028, 487, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29906, 29896, 379, 3357, 26599, 8364, 11763, 3189, 1696, 19806, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 1360, 13, 15945, 29908, 13, 7032, 278, 1243, 731, 411, 278, 869, 384, 415, 1904, 297, 2507, 29889, 13, 15945, 29908, 13, 5215, 1852, 5510, 13, 5215, 3458, 1028, 487, 29889, 15755, 408, 302, 29876, 13, 3166, 3458, 1028, 487, 1053, 3030, 13, 3166, 3458, 1028, 487, 29889, 14968, 29889, 4299, 1053, 8125, 13, 3166, 3458, 1028, 487, 29889, 14968, 29889, 15550, 2133, 1053, 2254, 29918, 3198, 3149, 29892, 2254, 29918, 3207, 29918, 8941, 29918, 1212, 13, 3166, 3458, 1028, 487, 29889, 9435, 1053, 731, 29918, 26776, 13, 3166, 3458, 1028, 487, 1053, 323, 6073, 13, 3166, 3458, 1028, 487, 29889, 9435, 1053, 26688, 408, 286, 303, 668, 13, 3166, 3458, 1028, 487, 29889, 15755, 29889, 6758, 29889, 6758, 1053, 365, 2209, 5160, 13, 3166, 3458, 1028, 487, 29889, 3554, 1053, 13303, 408, 383, 13, 3166, 3458, 1028, 487, 29889, 3554, 1053, 6931, 408, 349, 13, 13, 3166, 4765, 29889, 2917, 1053, 274, 361, 279, 29896, 29900, 29918, 16859, 13, 3166, 4765, 29889, 24713, 1053, 1653, 29918, 24713, 29918, 29883, 361, 279, 29896, 29900, 13, 13, 3166, 4765, 29889, 4299, 292, 29918, 1516, 1053, 478, 2459, 13372, 261, 13, 5215, 4765, 29889, 1212, 29918, 2917, 408, 2295, 29879, 13, 13, 842, 29918, 26776, 29898, 29896, 29897, 13, 13, 16680, 353, 1852, 5510, 29889, 15730, 11726, 29898, 8216, 2433, 29894, 277, 29918, 3188, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 24713, 29918, 978, 742, 1134, 29922, 710, 29892, 2322, 2433, 29883, 361, 279, 29896, 29900, 742, 19995, 29922, 1839, 29883, 361, 279, 29896, 29900, 7464, 13, 462, 1678, 1371, 2433, 24713, 1024, 29889, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 1491, 29918, 1853, 742, 1134, 29922, 710, 29892, 2322, 2433, 29963, 29875, 29911, 29899, 29933, 29918, 29896, 29953, 742, 13, 462, 1678, 19995, 29922, 1839, 29963, 29875, 29911, 29899, 29933, 29918, 29896, 29953, 742, 525, 29963, 29875, 29911, 29899, 29933, 29918, 29941, 29906, 742, 525, 29963, 29875, 29911, 29899, 29931, 29918, 29896, 29953, 742, 525, 29963, 29875, 29911, 29899, 29931, 29918, 29941, 29906, 742, 525, 29963, 29875, 29911, 29899, 29950, 29918, 29896, 29946, 742, 525, 13424, 11287, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 3198, 3149, 29918, 2084, 742, 1134, 29922, 710, 29892, 2322, 2433, 6904, 384, 415, 29918, 29900, 742, 1371, 2433, 5596, 3149, 934, 2224, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 333, 742, 1134, 29922, 524, 29892, 2322, 29922, 29900, 29892, 1371, 2433, 11501, 1178, 1495, 13, 5085, 29918, 3670, 353, 13812, 29889, 5510, 29918, 5085, 580, 13, 13, 13, 1990, 11189, 5292, 14441, 29903, 4346, 720, 29898, 29931, 2209, 5160, 1125, 13, 1678, 9995, 29907, 2124, 5292, 14441, 15945, 29908, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 29234, 29922, 5574, 29892, 20376, 2433, 12676, 742, 10597, 29918, 19790, 29922, 29900, 1696, 954, 29918, 13203, 29922, 29896, 29900, 29900, 29900, 1125, 13, 4706, 2428, 29898, 29907, 2124, 5292, 14441, 29903, 4346, 720, 29892, 1583, 467, 1649, 2344, 1649, 580, 13, 4706, 1583, 29889, 650, 8711, 353, 349, 29889, 6716, 28917, 580, 13, 4706, 1583, 29889, 29879, 5510, 353, 29234, 13, 4706, 1583, 29889, 265, 29918, 1767, 353, 323, 6073, 29898, 29896, 29889, 29900, 448, 10597, 29918, 19790, 29892, 286, 303, 668, 29889, 7411, 29941, 29906, 29897, 13, 4706, 1583, 29889, 2696, 29918, 1767, 353, 323, 6073, 29898, 29896, 29889, 29900, 334, 10597, 29918, 19790, 847, 313, 1949, 29918, 13203, 448, 29871, 29896, 511, 286, 303, 668, 29889, 7411, 29941, 29906, 29897, 13, 4706, 1583, 29889, 346, 353, 302, 29876, 29889, 6295, 615, 3317, 29907, 2124, 5292, 14441, 3047, 3403, 1169, 29898, 9313, 428, 29922, 9313, 428, 29897, 13, 13, 1678, 822, 3386, 29898, 1311, 29892, 1480, 277, 29892, 3858, 1125, 13, 4706, 565, 1583, 29889, 29879, 5510, 29901, 13, 9651, 3858, 353, 1583, 29889, 650, 8711, 29898, 1643, 29892, 383, 29889, 12181, 29898, 1188, 277, 9601, 29896, 1402, 1583, 29889, 265, 29918, 1767, 29892, 1583, 29889, 2696, 29918, 1767, 29897, 13, 4706, 6410, 29918, 353, 1583, 29889, 346, 29898, 1188, 277, 29892, 3858, 29897, 13, 4706, 736, 6410, 29918, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 8707, 3738, 10749, 353, 11117, 29963, 29875, 29911, 29899, 29933, 29918, 29896, 29953, 2396, 2295, 29879, 29889, 657, 29918, 29890, 29896, 29953, 29918, 2917, 29892, 13, 1669, 525, 29963, 29875, 29911, 29899, 29933, 29918, 29941, 29906, 2396, 2295, 29879, 29889, 657, 29918, 29890, 29941, 29906, 29918, 2917, 29892, 13, 1669, 525, 29963, 29875, 29911, 29899, 29931, 29918, 29896, 29953, 2396, 2295, 29879, 29889, 657, 29918, 29880, 29896, 29953, 29918, 2917, 29892, 13, 1669, 525, 29963, 29875, 29911, 29899, 29931, 29918, 29941, 29906, 2396, 2295, 29879, 29889, 657, 29918, 29880, 29941, 29906, 29918, 2917, 29892, 13, 1669, 525, 29963, 29875, 29911, 29899, 29950, 29918, 29896, 29946, 2396, 2295, 29879, 29889, 657, 29918, 29882, 29896, 29946, 29918, 2917, 29892, 13, 1669, 525, 29934, 29945, 29900, 29899, 29963, 29875, 29911, 29899, 29933, 29918, 29896, 29953, 2396, 2295, 29879, 29889, 657, 29918, 29878, 29945, 29900, 29918, 29890, 29896, 29953, 29918, 2917, 29892, 13, 1669, 525, 13424, 2396, 2295, 29879, 29889, 657, 29918, 13424, 29913, 13, 1678, 3030, 29889, 842, 29918, 4703, 29898, 8513, 29922, 4703, 29889, 14345, 3301, 29950, 29918, 20387, 29892, 4742, 29918, 5182, 2433, 29909, 1557, 355, 742, 4742, 29918, 333, 29922, 5085, 29918, 3670, 29889, 333, 29897, 13, 1678, 565, 6389, 29918, 3670, 29889, 24713, 29918, 978, 1275, 376, 29883, 361, 279, 29896, 29900, 1115, 13, 4706, 274, 16434, 353, 274, 361, 279, 29896, 29900, 29918, 16859, 13, 4706, 7787, 353, 478, 2459, 13372, 261, 29898, 6007, 3738, 10749, 29961, 5085, 29918, 3670, 29889, 1491, 29918, 1853, 1402, 954, 29918, 13203, 29922, 16859, 29889, 1949, 29918, 13203, 29897, 13, 4706, 6410, 353, 302, 29876, 29889, 6295, 615, 3317, 29907, 2124, 5292, 14441, 3047, 3403, 1169, 29898, 29879, 5510, 29922, 5574, 29892, 20376, 2433, 12676, 1495, 13, 4706, 3523, 353, 302, 29876, 29889, 29924, 2932, 398, 29898, 1212, 29889, 14968, 519, 29918, 7529, 3285, 29871, 29900, 29889, 29900, 29896, 29892, 274, 16434, 29889, 29885, 2932, 398, 29892, 7688, 29918, 7099, 388, 29922, 16859, 29889, 7915, 29918, 7099, 388, 29897, 13, 4706, 8783, 353, 1653, 29918, 24713, 29918, 29883, 361, 279, 29896, 29900, 29898, 16859, 29889, 791, 29918, 1272, 29918, 2084, 29892, 29871, 29896, 29892, 7700, 29897, 13, 4706, 1828, 29918, 8977, 353, 2254, 29918, 3198, 3149, 29898, 5085, 29918, 3670, 29889, 3198, 3149, 29918, 2084, 29897, 13, 4706, 1596, 703, 1359, 1423, 3149, 515, 15974, 6525, 1213, 29889, 4830, 29898, 5085, 29918, 3670, 29889, 3198, 3149, 29918, 2084, 876, 13, 4706, 2254, 29918, 3207, 29918, 8941, 29918, 1212, 29898, 1212, 29892, 1828, 29918, 8977, 29897, 13, 4706, 7787, 29889, 842, 29918, 14968, 29898, 8824, 29897, 13, 4706, 1904, 353, 8125, 29898, 1212, 29892, 6410, 29918, 9144, 29922, 6758, 29892, 5994, 3950, 29922, 3670, 29892, 21556, 3790, 29915, 5753, 29915, 1800, 13, 1678, 1683, 29901, 13, 4706, 12020, 7865, 2392, 703, 24713, 338, 451, 2304, 23157, 13, 13, 1678, 1035, 353, 1904, 29889, 14513, 29898, 24713, 29897, 13, 1678, 1596, 29898, 29888, 29908, 4299, 29915, 29879, 13600, 338, 426, 5753, 27195, 13, 2 ]
src/airflow_salesforce_plugin/hooks/salesforce_hook.py	techalchemy/airflow-salesforce-plugin	1	165138	# Copyright (c) 2019 <NAME> # MIT License <https://opensource.org/licenses/mit> from __future__ import absolute_import, unicode_literals import collections import csv import io import pathlib import sqlite3 import tempfile import uuid from typing import Any, Dict, Generator, List, Optional, Set, Tuple, Union import pandas as pd import sqlparse from airflow.exceptions import AirflowException from airflow.hooks.base_hook import BaseHook from simple_salesforce.api import Salesforce, exception_handler class StreamingSalesforce(Salesforce): def query_streaming(self, query, include_deleted=False, kwargs): url = self.base_url + ("queryAll/" if include_deleted else "query/") params = {"q": query} # `requests` will correctly encode the query string passed as `params` return self._call_salesforce( "GET", url, name="query", params=params, stream=True, kwargs ) def query_more_streaming( self, next_records_identifier, identifier_is_url=False, include_deleted=False, kwargs, ): if identifier_is_url: # Don't use `self.base_url` here because the full URI is provided url = f"https://{self.sf_instance}{next_records_identifier}" else: endpoint = "queryAll" if include_deleted else "query" url = f"{self.base_url}{endpoint}/{next_records_identifier}" return self._call_salesforce("GET", url, name="query_more", stream=True, kwargs) class SalesforceHook(BaseHook): """ Salesforce connection hook. ..note:: Uses `simple_salesforce <https://github.com/simple-salesforce/>`_ with `requests <https://github.com/requests/requests>`_ for all connections and queries to Salesforce. """ conn_name_attr = "conn_id" default_conn_name = "salesforce_default" def __init__(self, conn_id: str = "salesforce_default", args, kwargs) -> None: self.conn_id: str = conn_id self._args = args self._kwargs = kwargs self.connection = self.get_connection(self.conn_id) self.session: Optional[StreamingSalesforce] = None def login(self) -> "SalesforceHook": """ Establishes a connection to Salesforce. :return: The current object instance :rtype: SalesforceHook """ if isinstance(self.session, StreamingSalesforce): return self self.log.info(f"establishing connection to salesforce {self.connection.host!r}") extras: Dict[str, str] = self.connection.extra_dejson auth_type: str = extras.get("auth_type", "password") auth_kwargs: Dict[str, Union[Optional[str], bool]] = {} sandbox = extras.get("sandbox", False) in ("yes", "y", "1", 1, True) if auth_type == "direct": auth_kwargs = { "instance_url": self.connection.host, "session_id": self.connection.password, } else: auth_kwargs = { "username": self.connection.login, "password": <PASSWORD>, "security_token": extras.get("security_token"), # "instance_url": self.connection.host, "sandbox": sandbox, } self.log.info("Signing into salesforce...") self.log.info(f"Using username: {self.connection.login} with sandbox={sandbox!s}") self.session = StreamingSalesforce(auth_kwargs) # type: ignore if not self.session: self.log.error(f"Failed connecting to salesforce: {self.session}") raise AirflowException("Connection failure during salesforce connection!") return self def _parse_identifiers(self, sql: str) -> Tuple[str, List[str]]: """ Parses a sql statement for the first identifier list. :param sql: The sql statement to parse :type sql: str :return: A tuple of the table name and the list of identifiers :rtype: Tuple[str, List[str]] """ table_name: str = "" columns: List[str] = [] statements: List[Any] = sqlparse.parse(sql) # NOTE: only parses first full statement for token in statements[0].tokens: if isinstance(token, (sqlparse.sql.IdentifierList,)): for identifier in token: if ( isinstance(identifier, (sqlparse.sql.Identifier,)) or identifier.ttype in (sqlparse.tokens.Keyword,) or identifier.value.lower() in ("type", "alias") ): columns.append(identifier.value) elif isinstance(token, (sqlparse.sql.Identifier,)) or token.ttype in ( sqlparse.tokens.Keyword, ): table_name = token.value return (table_name, columns) def _extract_columns(self, sql: str, replace: Dict[str, str] = None) -> List[str]: """ Extracts column names from a given sql statement. :param sql: The sql statement to parse :type sql: str :param replace: Character replacement for the column names, defaults to None :param replace: Dict, optional :return: The extracted column names :rtype: List[str] """ if replace is None: replace = {} columns: List[str] = [] for field in self._parse_identifiers(sql)[-1]: for (old, new) in replace.items(): field = field.replace(old, new) columns.append(field) return columns def _extract_row(self, result: collections.OrderedDict) -> List[Any]: """ Extracts the rows from a given result from querying Salesforce. :param result: The result to extract rows from :type result: collections.OrderedDict :return: A list of values :rtype: list """ values: List[Any] = [] for (column, value) in result.items(): if column.lower() not in ("attributes",): if isinstance(value, collections.OrderedDict): values.extend(self._extract_row(value)) else: values.append(value) return values def _get_results(self, sql: str, url: str = None, gen_uuid: str = None, kwargs): """ Query the session instance for a response using the supplied sql or next url :param str sql: Sql to execute :param Optional[str] url: Url to visit, (default: None) :param Optional[str] gen_uuid: UUID for the session, (default: None) :return: A response instance from the session :rtype: :class:`requests.PreparedResponse` """ assert self.session if not url: kwargs.update({"include_deleted": True}) return self.session.query_streaming(sql, kwargs) return self.session.query_more_streaming(url, identifier_is_url=True) def _gen_result_frames( self, sql: str, columns: List[str], page: int = 1, url: str = None, gen_uuid: str = None, include_headers: bool = False, kwargs, ) -> Optional[pd.DataFrame]: """ Generates results from executing a sql statement. :param str sql: The sql statement to execute :param Optional[str] url: The url of the next page of results (default: None) :param Optional[str] gen_uuid: The session-specific UUID (default: None) :return: A generator over the :class:`pd.DataFrame` instances from the results :rtype: Generator """ if not gen_uuid: gen_uuid = str(uuid.uuid4()) try: df = pd.read_json( self._get_results(sql, url=url, gen_uuid=gen_uuid).iter_lines(), lines=True, chunk=1, ) except Exception: df = pd.read_json(self._get_results(sql, url=url, gen_uuid=gen_uuid).text) new_df = pd.DataFrame.from_records( df.records.apply(lambda x: {k: v for k, v in x.items() if k != "attributes"}) ) df["page"] = page if not df["records"].count(): return new_df df["page"] = page unique_records = df.done.unique() try: done = unique_records[0] except IndexError: done = True if new_df.columns.size < 1: new_df.columns = [c.replace(".", "_") for c in columns] else: new_df.columns = new_df.columns.str.lower() joined_tables: Dict[str, Set[str]] = collections.defaultdict(set) join_columns = [col for col in columns if "." in col] for col in join_columns: table, _, col_name = col.partition(".") joined_tables[table].add(col_name) for table in joined_tables: table_df = new_df[table].apply(pd.Series) table_df = table_df.drop("attributes", axis=1).add_prefix(f"{table}_") table_df.columns = table_df.columns.str.lower() new_df = pd.concat([new_df.drop([table], axis=1), table_df], axis=1) columns = [c.replace(".", "_").lower() for c in columns] new_df = new_df[columns] yield new_df next_url = None if not done: page += 1 next_url = df.nextRecordsUrl.unique()[0] for next_df in self._gen_result_frames( sql, columns=columns, url=next_url, gen_uuid=gen_uuid, include_headers=False, ): yield next_df def dump_sqlite( self, sql: str, filepath: str, table: str, parameters: List[str], kwargs ): """Dump the results of the supplied sql to the target sqlite database :param str sql: Parameterized soql to use for querying :param str filepath: Filepath to export results to :param str table: The target table :param List[str] parameters: Parameters to use as arguments to the soql :return: A count of the rows written :rtype: int """ if not self.session: self.login() if parameters is None: parameters = [] if len(parameters) > 0: sql = sql % tuple(parameters) kwargs.update({"include_deleted": True}) columns = [col for col in self._extract_columns(sql)] filepath = pathlib.Path(filepath).absolute().as_posix() sqlite_conn = sqlite3.connect(filepath) rows = 0 include_headers = True for df in self._gen_result_frames( sql, columns=columns, include_headers=include_headers, kwargs ): rows += len(df) df.to_sql( table, con=sqlite_conn, if_exists="append", chunksize=200, index=False ) return rows def dump_csv( self, sql: str, filepath: str, parameters: List[str], include_headers: bool = True, kwargs, ) -> int: """Dump the results of the requested sql to CSV :param str sql: Parameterized soql to use for querying :param str filepath: Filepath to export results to :param List[str] parameters: Parameters to use as arguments to the soql :param bool include_headers: Whether to include headers in the output, defaults to True :return: A count of the rows written :rtype: int """ if not self.session: self.login() if parameters is None: parameters = [] if len(parameters) > 0: sql = sql % tuple(parameters) kwargs.update({"include_deleted": True}) columns = [col for col in self._extract_columns(sql)] temp_dir = tempfile.TemporaryDirectory(prefix="salesforce", suffix="csvs") if not filepath: tmpfile = tempfile.NamedTemporaryFile( prefix="airflow", suffix="salesforce.csv", delete=False, dir=temp_dir.name, encoding="utf-8", ) filepath = tmpfile.name tmpfile.close() rows = 0 for df in self._gen_result_frames( sql, columns=columns, temp_dir=temp_dir, temp_file=filepath, include_headers=include_headers, kwargs, ): rows += len(df) df.to_csv( filepath, chunksize=200, header=include_headers, encoding="utf-8", index=False, mode="a", ) if include_headers: include_headers = False return rows def _gen_results( self, sql: str, url: str = None, gen_uuid: str = None, kwargs ) -> Generator[List[Any], None, None]: """ Generates results from executing a sql statement. :param str sql: The sql statement to execute :param Optional[str] url: The url of the next page of results (default: None) :param Optional[str] gen_uuid: The session-specific UUID (default: None) :return: A generator which resulting rows from executing the given sql :rtype: Generator """ # create generation uuid to show what logs are part of the same process if not gen_uuid: gen_uuid = str(uuid.uuid4()) results = self._get_results(sql, url=url, gen_uuid=gen_uuid) if not results: yield [] next_url = None for row in results.get("records", []): yield self._extract_row(row) if not results["done"]: next_url = results.get("nextRecordsUrl", None) for row in self._gen_results(sql, url=next_url, gen_uuid=gen_uuid): yield row def query( self, sql: str, parameters: List[str] = None, include_headers: bool = True, kwargs, ) -> Generator[List[Any], None, None]: """ Generates the results from executing a given sql statement :param sql: The given sql statement to execute :type sql: str :param parameters: The parameters to use for the sql, defaults to None :type parameters: List[str], optional :param include_headers: True to include columns as the first result, defaults to True :type include_headers: bool, optional :return: A generator which iterates over results from executing the givne sql :rtype: Generator """ if parameters is None: parameters = [] if len(parameters) > 0: sql = sql % tuple(parameters) kwargs.update({"include_deleted": True}) self.log.info(f"executing query {sql!r}") if include_headers: yield self._extract_columns(sql, replace={".": "_"}) self.login() for row in self._gen_results(sql, kwargs): yield row def export( self, sql: str, filepath: str, parameters: List[str] = None, include_headers: bool = True, kwargs, ) -> str: """ Exports the result of executing sql to a given filepath. :param sql: The sql statement to execute :type sql: str :param filepath: The filepath to export results to :type filepath: str :param parameters: The parameters to use for the sql, defaults to None :type parameters: List[str], optional :param include_headers: True to include columns as the first result, defaults to True :type include_headers: bool, optional :return: The resulting exported filepath :rtype: str """ self.log.info(f"writing results of sql {sql!r} to {filepath!r}") if not parameters: parameters = [] rowcount = self.dump_csv( sql=sql, filepath=filepath, parameters=parameters, include_headers=True ) self.log.info(f" TASK COMPLETE *: Wrote {rowcount!s} rows!") return filepath	[ 1, 396, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29929, 529, 5813, 29958, 13, 29937, 341, 1806, 19245, 529, 991, 597, 22156, 1167, 29889, 990, 29914, 506, 11259, 29914, 2415, 29958, 13, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 29892, 29104, 29918, 20889, 1338, 13, 13, 5215, 16250, 13, 5215, 11799, 13, 5215, 12013, 13, 5215, 2224, 1982, 13, 5215, 21120, 29941, 13, 5215, 5694, 1445, 13, 5215, 318, 5416, 13, 3166, 19229, 1053, 3139, 29892, 360, 919, 29892, 3251, 1061, 29892, 2391, 29892, 28379, 29892, 3789, 29892, 12603, 552, 29892, 7761, 13, 13, 5215, 11701, 408, 10518, 13, 5215, 4576, 5510, 13, 3166, 4799, 1731, 29889, 11739, 29879, 1053, 5593, 1731, 2451, 13, 3166, 4799, 1731, 29889, 1251, 12117, 29889, 3188, 29918, 20849, 1053, 7399, 29950, 2550, 13, 3166, 2560, 29918, 29879, 2122, 10118, 29889, 2754, 1053, 28389, 10118, 29892, 3682, 29918, 13789, 13, 13, 13, 1990, 13763, 292, 29903, 2122, 10118, 29898, 29903, 2122, 10118, 1125, 13, 1678, 822, 2346, 29918, 5461, 292, 29898, 1311, 29892, 2346, 29892, 3160, 29918, 311, 22742, 29922, 8824, 29892, 3579, 19290, 1125, 13, 4706, 3142, 353, 1583, 29889, 3188, 29918, 2271, 718, 4852, 1972, 3596, 12975, 565, 3160, 29918, 311, 22742, 1683, 376, 1972, 29914, 1159, 13, 4706, 8636, 353, 8853, 29939, 1115, 2346, 29913, 13, 4706, 396, 421, 24830, 29952, 674, 5149, 19750, 278, 2346, 1347, 4502, 408, 421, 7529, 29952, 13, 4706, 736, 1583, 3032, 4804, 29918, 29879, 2122, 10118, 29898, 13, 9651, 376, 7194, 613, 3142, 29892, 1024, 543, 1972, 613, 8636, 29922, 7529, 29892, 4840, 29922, 5574, 29892, 3579, 19290, 13, 4706, 1723, 13, 13, 1678, 822, 2346, 29918, 5514, 29918, 5461, 292, 29898, 13, 4706, 1583, 29892, 13, 4706, 2446, 29918, 3757, 4339, 29918, 25378, 29892, 13, 4706, 15882, 29918, 275, 29918, 2271, 29922, 8824, 29892, 13, 4706, 3160, 29918, 311, 22742, 29922, 8824, 29892, 13, 4706, 3579, 19290, 29892, 13, 268, 1125, 13, 4706, 565, 15882, 29918, 275, 29918, 2271, 29901, 13, 9651, 396, 3872, 29915, 29873, 671, 421, 1311, 29889, 3188, 29918, 2271, 29952, 1244, 1363, 278, 2989, 23539, 338, 4944, 13, 9651, 3142, 353, 285, 29908, 991, 597, 29912, 1311, 29889, 4668, 29918, 8758, 1157, 4622, 29918, 3757, 4339, 29918, 25378, 5038, 13, 4706, 1683, 29901, 13, 9651, 16248, 353, 376, 1972, 3596, 29908, 565, 3160, 29918, 311, 22742, 1683, 376, 1972, 29908, 13, 9651, 3142, 353, 285, 29908, 29912, 1311, 29889, 3188, 29918, 2271, 1157, 29734, 6822, 29912, 4622, 29918, 3757, 4339, 29918, 25378, 5038, 13, 4706, 736, 1583, 3032, 4804, 29918, 29879, 2122, 10118, 703, 7194, 613, 3142, 29892, 1024, 543, 1972, 29918, 5514, 613, 4840, 29922, 5574, 29892, 3579, 19290, 29897, 13, 13, 13, 1990, 28389, 10118, 29950, 2550, 29898, 5160, 29950, 2550, 1125, 13, 13, 1678, 9995, 13, 1678, 28389, 10118, 3957, 12422, 29889, 13, 13, 1678, 6317, 6812, 1057, 10783, 267, 421, 12857, 29918, 29879, 2122, 10118, 529, 991, 597, 3292, 29889, 510, 29914, 12857, 29899, 29879, 2122, 10118, 3779, 29952, 29918, 13, 4706, 411, 421, 24830, 529, 991, 597, 3292, 29889, 510, 29914, 24830, 29914, 24830, 13885, 29918, 363, 599, 12368, 13, 4706, 322, 9365, 304, 28389, 10118, 29889, 13, 1678, 9995, 13, 13, 1678, 11009, 29918, 978, 29918, 5552, 353, 376, 13082, 29918, 333, 29908, 13, 1678, 2322, 29918, 13082, 29918, 978, 353, 376, 29879, 2122, 10118, 29918, 4381, 29908, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 11009, 29918, 333, 29901, 851, 353, 376, 29879, 2122, 10118, 29918, 4381, 613, 334, 5085, 29892, 3579, 19290, 29897, 1599, 6213, 29901, 13, 4706, 1583, 29889, 13082, 29918, 333, 29901, 851, 353, 11009, 29918, 333, 13, 4706, 1583, 3032, 5085, 353, 6389, 13, 4706, 1583, 3032, 19290, 353, 9049, 5085, 13, 4706, 1583, 29889, 9965, 353, 1583, 29889, 657, 29918, 9965, 29898, 1311, 29889, 13082, 29918, 333, 29897, 13, 4706, 1583, 29889, 7924, 29901, 28379, 29961, 3835, 292, 29903, 2122, 10118, 29962, 353, 6213, 13, 13, 1678, 822, 6464, 29898, 1311, 29897, 1599, 376, 29903, 2122, 10118, 29950, 2550, 1115, 13, 4706, 9995, 13, 4706, 2661, 370, 1674, 267, 263, 3957, 304, 28389, 10118, 29889, 13, 13, 4706, 584, 2457, 29901, 450, 1857, 1203, 2777, 13, 4706, 584, 29878, 1853, 29901, 28389, 10118, 29950, 2550, 13, 4706, 9995, 13, 13, 4706, 565, 338, 8758, 29898, 1311, 29889, 7924, 29892, 13763, 292, 29903, 2122, 10118, 1125, 13, 9651, 736, 1583, 13, 13, 4706, 1583, 29889, 1188, 29889, 3888, 29898, 29888, 29908, 342, 370, 1674, 292, 3957, 304, 16538, 10118, 426, 1311, 29889, 9965, 29889, 3069, 29991, 29878, 27195, 13, 4706, 429, 10678, 29901, 360, 919, 29961, 710, 29892, 851, 29962, 353, 1583, 29889, 9965, 29889, 17833, 29918, 311, 3126, 13, 4706, 4817, 29918, 1853, 29901, 851, 353, 429, 10678, 29889, 657, 703, 5150, 29918, 1853, 613, 376, 5630, 1159, 13, 4706, 4817, 29918, 19290, 29901, 360, 919, 29961, 710, 29892, 7761, 29961, 27636, 29961, 710, 1402, 6120, 5262, 353, 6571, 13, 4706, 11982, 1884, 353, 429, 10678, 29889, 657, 703, 29879, 26738, 613, 7700, 29897, 297, 4852, 3582, 613, 376, 29891, 613, 376, 29896, 613, 29871, 29896, 29892, 5852, 29897, 13, 4706, 565, 4817, 29918, 1853, 1275, 376, 11851, 1115, 13, 9651, 4817, 29918, 19290, 353, 426, 13, 18884, 376, 8758, 29918, 2271, 1115, 1583, 29889, 9965, 29889, 3069, 29892, 13, 18884, 376, 7924, 29918, 333, 1115, 1583, 29889, 9965, 29889, 5630, 29892, 13, 9651, 500, 13, 4706, 1683, 29901, 13, 9651, 4817, 29918, 19290, 353, 426, 13, 18884, 376, 6786, 1115, 1583, 29889, 9965, 29889, 7507, 29892, 13, 18884, 376, 5630, 1115, 529, 25711, 17013, 10202, 13, 18884, 376, 8926, 29918, 6979, 1115, 429, 10678, 29889, 657, 703, 8926, 29918, 6979, 4968, 13, 18884, 396, 376, 8758, 29918, 2271, 1115, 1583, 29889, 9965, 29889, 3069, 29892, 13, 18884, 376, 29879, 26738, 1115, 11982, 1884, 29892, 13, 9651, 500, 13, 4706, 1583, 29889, 1188, 29889, 3888, 703, 10140, 292, 964, 16538, 10118, 856, 1159, 13, 4706, 1583, 29889, 1188, 29889, 3888, 29898, 29888, 29908, 15156, 8952, 29901, 426, 1311, 29889, 9965, 29889, 7507, 29913, 411, 11982, 1884, 3790, 29879, 26738, 29991, 29879, 27195, 13, 4706, 1583, 29889, 7924, 353, 13763, 292, 29903, 2122, 10118, 29898, 1068, 5150, 29918, 19290, 29897, 29871, 396, 1134, 29901, 11455, 13, 4706, 565, 451, 1583, 29889, 7924, 29901, 13, 9651, 1583, 29889, 1188, 29889, 2704, 29898, 29888, 29908, 17776, 16791, 304, 16538, 10118, 29901, 426, 1311, 29889, 7924, 27195, 13, 9651, 12020, 5593, 1731, 2451, 703, 5350, 10672, 2645, 16538, 10118, 3957, 29991, 1159, 13, 4706, 736, 1583, 13, 13, 1678, 822, 903, 5510, 29918, 1693, 14903, 29898, 1311, 29892, 4576, 29901, 851, 29897, 1599, 12603, 552, 29961, 710, 29892, 2391, 29961, 710, 5262, 29901, 13, 4706, 9995, 13, 4706, 1459, 29879, 267, 263, 4576, 3229, 363, 278, 937, 15882, 1051, 29889, 13, 13, 4706, 584, 3207, 4576, 29901, 450, 4576, 3229, 304, 6088, 13, 4706, 584, 1853, 4576, 29901, 851, 13, 4706, 584, 2457, 29901, 319, 18761, 310, 278, 1591, 1024, 322, 278, 1051, 310, 2893, 14903, 13, 4706, 584, 29878, 1853, 29901, 12603, 552, 29961, 710, 29892, 2391, 29961, 710, 5262, 13, 4706, 9995, 13, 13, 4706, 1591, 29918, 978, 29901, 851, 353, 5124, 13, 4706, 4341, 29901, 2391, 29961, 710, 29962, 353, 5159, 13, 4706, 9506, 29901, 2391, 29961, 10773, 29962, 353, 4576, 5510, 29889, 5510, 29898, 2850, 29897, 13, 13, 4706, 396, 6058, 29923, 29901, 871, 610, 29879, 267, 937, 2989, 3229, 13, 4706, 363, 5993, 297, 9506, 29961, 29900, 1822, 517, 12360, 29901, 13, 9651, 565, 338, 8758, 29898, 6979, 29892, 313, 2850, 5510, 29889, 2850, 29889, 12889, 1293, 29892, 22164, 13, 18884, 363, 15882, 297, 5993, 29901, 13, 462, 1678, 565, 313, 13, 462, 4706, 338, 8758, 29898, 25378, 29892, 313, 2850, 5510, 29889, 2850, 29889, 12889, 29892, 876, 13, 462, 4706, 470, 15882, 29889, 698, 668, 297, 313, 2850, 5510, 29889, 517, 12360, 29889, 2558, 1742, 29892, 29897, 13, 462, 4706, 470, 15882, 29889, 1767, 29889, 13609, 580, 297, 4852, 1853, 613, 376, 19973, 1159, 13, 462, 268, 1125, 13, 462, 4706, 4341, 29889, 4397, 29898, 25378, 29889, 1767, 29897, 13, 9651, 25342, 338, 8758, 29898, 6979, 29892, 313, 2850, 5510, 29889, 2850, 29889, 12889, 29892, 876, 470, 5993, 29889, 698, 668, 297, 313, 13, 18884, 4576, 5510, 29889, 517, 12360, 29889, 2558, 1742, 29892, 13, 632, 1125, 13, 18884, 1591, 29918, 978, 353, 5993, 29889, 1767, 13, 13, 4706, 736, 313, 2371, 29918, 978, 29892, 4341, 29897, 13, 13, 1678, 822, 903, 21111, 29918, 13099, 29898, 1311, 29892, 4576, 29901, 851, 29892, 5191, 29901, 360, 919, 29961, 710, 29892, 851, 29962, 353, 6213, 29897, 1599, 2391, 29961, 710, 5387, 13, 4706, 9995, 13, 4706, 7338, 1461, 29879, 1897, 2983, 515, 263, 2183, 4576, 3229, 29889, 13, 13, 4706, 584, 3207, 4576, 29901, 450, 4576, 3229, 304, 6088, 13, 4706, 584, 1853, 4576, 29901, 851, 13, 4706, 584, 3207, 5191, 29901, 26804, 16920, 363, 278, 1897, 2983, 29892, 21274, 304, 6213, 13, 4706, 584, 3207, 5191, 29901, 360, 919, 29892, 13136, 13, 4706, 584, 2457, 29901, 450, 23892, 1897, 2983, 13, 4706, 584, 29878, 1853, 29901, 2391, 29961, 710, 29962, 13, 4706, 9995, 13, 13, 4706, 565, 5191, 338, 6213, 29901, 13, 9651, 5191, 353, 6571, 13, 4706, 4341, 29901, 2391, 29961, 710, 29962, 353, 5159, 13, 4706, 363, 1746, 297, 1583, 3032, 5510, 29918, 1693, 14903, 29898, 2850, 9601, 29899, 29896, 5387, 13, 9651, 363, 313, 1025, 29892, 716, 29897, 297, 5191, 29889, 7076, 7295, 13, 18884, 1746, 353, 1746, 29889, 6506, 29898, 1025, 29892, 716, 29897, 13, 9651, 4341, 29889, 4397, 29898, 2671, 29897, 13, 4706, 736, 4341, 13, 13, 1678, 822, 903, 21111, 29918, 798, 29898, 1311, 29892, 1121, 29901, 16250, 29889, 7514, 287, 21533, 29897, 1599, 2391, 29961, 10773, 5387, 13, 4706, 9995, 13, 4706, 7338, 1461, 29879, 278, 4206, 515, 263, 2183, 1121, 515, 2346, 292, 28389, 10118, 29889, 13, 13, 4706, 584, 3207, 1121, 29901, 450, 1121, 304, 6597, 4206, 515, 13, 4706, 584, 1853, 1121, 29901, 16250, 29889, 7514, 287, 21533, 13, 4706, 584, 2457, 29901, 319, 1051, 310, 1819, 13, 4706, 584, 29878, 1853, 29901, 1051, 13, 4706, 9995, 13, 13, 4706, 1819, 29901, 2391, 29961, 10773, 29962, 353, 5159, 13, 4706, 363, 313, 4914, 29892, 995, 29897, 297, 1121, 29889, 7076, 7295, 13, 9651, 565, 1897, 29889, 13609, 580, 451, 297, 4852, 15697, 613, 1125, 13, 18884, 565, 338, 8758, 29898, 1767, 29892, 16250, 29889, 7514, 287, 21533, 1125, 13, 462, 1678, 1819, 29889, 21843, 29898, 1311, 3032, 21111, 29918, 798, 29898, 1767, 876, 13, 18884, 1683, 29901, 13, 462, 1678, 1819, 29889, 4397, 29898, 1767, 29897, 13, 4706, 736, 1819, 13, 13, 1678, 822, 903, 657, 29918, 9902, 29898, 1311, 29892, 4576, 29901, 851, 29892, 3142, 29901, 851, 353, 6213, 29892, 2531, 29918, 25118, 29901, 851, 353, 6213, 29892, 3579, 19290, 1125, 13, 4706, 9995, 13, 4706, 13641, 278, 4867, 2777, 363, 263, 2933, 773, 278, 19056, 4576, 470, 2446, 3142, 13, 13, 4706, 584, 3207, 851, 4576, 29901, 13093, 304, 6222, 13, 4706, 584, 3207, 28379, 29961, 710, 29962, 3142, 29901, 501, 2096, 304, 6493, 29892, 313, 4381, 29901, 6213, 29897, 13, 4706, 584, 3207, 28379, 29961, 710, 29962, 2531, 29918, 25118, 29901, 501, 11150, 363, 278, 4867, 29892, 313, 4381, 29901, 6213, 29897, 13, 4706, 584, 2457, 29901, 319, 2933, 2777, 515, 278, 4867, 13, 4706, 584, 29878, 1853, 29901, 584, 1990, 18078, 24830, 29889, 29925, 3445, 1965, 5103, 29952, 13, 4706, 9995, 13, 4706, 4974, 1583, 29889, 7924, 13, 4706, 565, 451, 3142, 29901, 13, 9651, 9049, 5085, 29889, 5504, 3319, 29908, 2856, 29918, 311, 22742, 1115, 5852, 1800, 13, 9651, 736, 1583, 29889, 7924, 29889, 1972, 29918, 5461, 292, 29898, 2850, 29892, 3579, 19290, 29897, 13, 4706, 736, 1583, 29889, 7924, 29889, 1972, 29918, 5514, 29918, 5461, 292, 29898, 2271, 29892, 15882, 29918, 275, 29918, 2271, 29922, 5574, 29897, 13, 13, 1678, 822, 903, 1885, 29918, 2914, 29918, 19935, 29898, 13, 4706, 1583, 29892, 13, 4706, 4576, 29901, 851, 29892, 13, 4706, 4341, 29901, 2391, 29961, 710, 1402, 13, 4706, 1813, 29901, 938, 353, 29871, 29896, 29892, 13, 4706, 3142, 29901, 851, 353, 6213, 29892, 13, 4706, 2531, 29918, 25118, 29901, 851, 353, 6213, 29892, 13, 4706, 3160, 29918, 13662, 29901, 6120, 353, 7700, 29892, 13, 4706, 3579, 19290, 29892, 13, 1678, 1723, 1599, 28379, 29961, 15926, 29889, 17271, 5387, 13, 4706, 9995, 13, 4706, 3251, 1078, 2582, 515, 14012, 263, 4576, 3229, 29889, 13, 13, 4706, 584, 3207, 851, 4576, 29901, 450, 4576, 3229, 304, 6222, 13, 4706, 584, 3207, 28379, 29961, 710, 29962, 3142, 29901, 450, 3142, 310, 278, 2446, 1813, 310, 2582, 313, 4381, 29901, 6213, 29897, 13, 4706, 584, 3207, 28379, 29961, 710, 29962, 2531, 29918, 25118, 29901, 450, 4867, 29899, 14940, 501, 11150, 313, 4381, 29901, 6213, 29897, 13, 4706, 584, 2457, 29901, 319, 15299, 975, 278, 584, 1990, 18078, 15926, 29889, 17271, 29952, 8871, 515, 278, 2582, 13, 4706, 584, 29878, 1853, 29901, 3251, 1061, 13, 4706, 9995, 13, 13, 4706, 565, 451, 2531, 29918, 25118, 29901, 13, 9651, 2531, 29918, 25118, 353, 851, 29898, 25118, 29889, 25118, 29946, 3101, 13, 4706, 1018, 29901, 13, 9651, 4489, 353, 10518, 29889, 949, 29918, 3126, 29898, 13, 18884, 1583, 3032, 657, 29918, 9902, 29898, 2850, 29892, 3142, 29922, 2271, 29892, 2531, 29918, 25118, 29922, 1885, 29918, 25118, 467, 1524, 29918, 9012, 3285, 13, 18884, 3454, 29922, 5574, 29892, 13, 18884, 19875, 29922, 29896, 29892, 13, 9651, 1723, 13, 4706, 5174, 8960, 29901, 13, 9651, 4489, 353, 10518, 29889, 949, 29918, 3126, 29898, 1311, 3032, 657, 29918, 9902, 29898, 2850, 29892, 3142, 29922, 2271, 29892, 2531, 29918, 25118, 29922, 1885, 29918, 25118, 467, 726, 29897, 13, 4706, 716, 29918, 2176, 353, 10518, 29889, 17271, 29889, 3166, 29918, 3757, 4339, 29898, 13, 9651, 4489, 29889, 3757, 4339, 29889, 7302, 29898, 2892, 921, 29901, 426, 29895, 29901, 325, 363, 413, 29892, 325, 297, 921, 29889, 7076, 580, 565, 413, 2804, 376, 15697, 29908, 1800, 13, 4706, 1723, 13, 4706, 4489, 3366, 3488, 3108, 353, 1813, 13, 4706, 565, 451, 4489, 3366, 3757, 4339, 16862, 2798, 7295, 13, 9651, 736, 716, 29918, 2176, 13, 4706, 4489, 3366, 3488, 3108, 353, 1813, 13, 4706, 5412, 29918, 3757, 4339, 353, 4489, 29889, 15091, 29889, 13092, 580, 13, 4706, 1018, 29901, 13, 9651, 2309, 353, 5412, 29918, 3757, 4339, 29961, 29900, 29962, 13, 4706, 5174, 11374, 2392, 29901, 13, 9651, 2309, 353, 5852, 13, 4706, 565, 716, 29918, 2176, 29889, 13099, 29889, 2311, 529, 29871, 29896, 29901, 13, 9651, 716, 29918, 2176, 29889, 13099, 353, 518, 29883, 29889, 6506, 17350, 613, 11119, 1159, 363, 274, 297, 4341, 29962, 13, 4706, 1683, 29901, 13, 9651, 716, 29918, 2176, 29889, 13099, 353, 716, 29918, 2176, 29889, 13099, 29889, 710, 29889, 13609, 580, 13, 9651, 8772, 29918, 24051, 29901, 360, 919, 29961, 710, 29892, 3789, 29961, 710, 5262, 353, 16250, 29889, 4381, 8977, 29898, 842, 29897, 13, 9651, 5988, 29918, 13099, 353, 518, 1054, 363, 784, 297, 4341, 565, 376, 1213, 297, 784, 29962, 13, 9651, 363, 784, 297, 5988, 29918, 13099, 29901, 13, 18884, 1591, 29892, 17117, 784, 29918, 978, 353, 784, 29889, 16707, 17350, 1159, 13, 18884, 8772, 29918, 24051, 29961, 2371, 1822, 1202, 29898, 1054, 29918, 978, 29897, 13, 9651, 363, 1591, 297, 8772, 29918, 24051, 29901, 13, 18884, 1591, 29918, 2176, 353, 716, 29918, 2176, 29961, 2371, 1822, 7302, 29898, 15926, 29889, 19204, 29897, 13, 18884, 1591, 29918, 2176, 353, 1591, 29918, 2176, 29889, 8865, 703, 15697, 613, 9685, 29922, 29896, 467, 1202, 29918, 13506, 29898, 29888, 29908, 29912, 2371, 2403, 1159, 13, 18884, 1591, 29918, 2176, 29889, 13099, 353, 1591, 29918, 2176, 29889, 13099, 29889, 710, 29889, 13609, 580, 13, 18884, 716, 29918, 2176, 353, 10518, 29889, 17685, 4197, 1482, 29918, 2176, 29889, 8865, 4197, 2371, 1402, 9685, 29922, 29896, 511, 1591, 29918, 2176, 1402, 9685, 29922, 29896, 29897, 13, 4706, 4341, 353, 518, 29883, 29889, 6506, 17350, 613, 11119, 2564, 13609, 580, 363, 274, 297, 4341, 29962, 13, 4706, 716, 29918, 2176, 353, 716, 29918, 2176, 29961, 13099, 29962, 13, 4706, 7709, 716, 29918, 2176, 13, 4706, 2446, 29918, 2271, 353, 6213, 13, 4706, 565, 451, 2309, 29901, 13, 9651, 1813, 4619, 29871, 29896, 13, 9651, 2446, 29918, 2271, 353, 4489, 29889, 4622, 4789, 4339, 5983, 29889, 13092, 580, 29961, 29900, 29962, 13, 9651, 363, 2446, 29918, 2176, 297, 1583, 3032, 1885, 29918, 2914, 29918, 19935, 29898, 13, 18884, 4576, 29892, 13, 18884, 4341, 29922, 13099, 29892, 13, 18884, 3142, 29922, 4622, 29918, 2271, 29892, 13, 18884, 2531, 29918, 25118, 29922, 1885, 29918, 25118, 29892, 13, 18884, 3160, 29918, 13662, 29922, 8824, 29892, 13, 632, 1125, 13, 18884, 7709, 2446, 29918, 2176, 13, 13, 1678, 822, 16766, 29918, 22793, 29898, 13, 4706, 1583, 29892, 4576, 29901, 851, 29892, 934, 2084, 29901, 851, 29892, 1591, 29901, 851, 29892, 4128, 29901, 2391, 29961, 710, 1402, 3579, 19290, 13, 268, 1125, 13, 4706, 9995, 29928, 3427, 278, 2582, 310, 278, 19056, 4576, 304, 278, 3646, 21120, 2566, 13, 13, 4706, 584, 3207, 851, 4576, 29901, 24953, 1891, 577, 1519, 304, 671, 363, 2346, 292, 13, 4706, 584, 3207, 851, 934, 2084, 29901, 3497, 2084, 304, 5609, 2582, 304, 13, 4706, 584, 3207, 851, 1591, 29901, 450, 3646, 1591, 13, 4706, 584, 3207, 2391, 29961, 710, 29962, 4128, 29901, 12662, 2699, 304, 671, 408, 6273, 304, 278, 577, 1519, 13, 4706, 584, 2457, 29901, 319, 2302, 310, 278, 4206, 3971, 13, 4706, 584, 29878, 1853, 29901, 938, 13, 4706, 9995, 13, 4706, 565, 451, 1583, 29889, 7924, 29901, 13, 9651, 1583, 29889, 7507, 580, 13, 4706, 565, 4128, 338, 6213, 29901, 13, 9651, 4128, 353, 5159, 13, 4706, 565, 7431, 29898, 16744, 29897, 1405, 29871, 29900, 29901, 13, 9651, 4576, 353, 4576, 1273, 18761, 29898, 16744, 29897, 13, 4706, 9049, 5085, 29889, 5504, 3319, 29908, 2856, 29918, 311, 22742, 1115, 5852, 1800, 13, 4706, 4341, 353, 518, 1054, 363, 784, 297, 1583, 3032, 21111, 29918, 13099, 29898, 2850, 4638, 13, 4706, 934, 2084, 353, 2224, 1982, 29889, 2605, 29898, 1445, 2084, 467, 23552, 2141, 294, 29918, 1066, 861, 580, 13, 4706, 21120, 29918, 13082, 353, 21120, 29941, 29889, 6915, 29898, 1445, 2084, 29897, 13, 4706, 4206, 353, 29871, 29900, 13, 4706, 3160, 29918, 13662, 353, 5852, 13, 4706, 363, 4489, 297, 1583, 3032, 1885, 29918, 2914, 29918, 19935, 29898, 13, 9651, 4576, 29892, 4341, 29922, 13099, 29892, 3160, 29918, 13662, 29922, 2856, 29918, 13662, 29892, 3579, 19290, 13, 308, 1125, 13, 9651, 4206, 4619, 7431, 29898, 2176, 29897, 13, 9651, 4489, 29889, 517, 29918, 2850, 29898, 13, 18884, 1591, 29892, 378, 29922, 22793, 29918, 13082, 29892, 565, 29918, 9933, 543, 4397, 613, 521, 18801, 675, 29922, 29906, 29900, 29900, 29892, 2380, 29922, 8824, 13, 9651, 1723, 13, 4706, 736, 4206, 13, 13, 1678, 822, 16766, 29918, 7638, 29898, 13, 4706, 1583, 29892, 13, 4706, 4576, 29901, 851, 29892, 13, 4706, 934, 2084, 29901, 851, 29892, 13, 4706, 4128, 29901, 2391, 29961, 710, 1402, 13, 4706, 3160, 29918, 13662, 29901, 6120, 353, 5852, 29892, 13, 4706, 3579, 19290, 29892, 13, 1678, 1723, 1599, 938, 29901, 13, 4706, 9995, 29928, 3427, 278, 2582, 310, 278, 13877, 4576, 304, 16874, 13, 13, 4706, 584, 3207, 851, 4576, 29901, 24953, 1891, 577, 1519, 304, 671, 363, 2346, 292, 13, 4706, 584, 3207, 851, 934, 2084, 29901, 3497, 2084, 304, 5609, 2582, 304, 13, 4706, 584, 3207, 2391, 29961, 710, 29962, 4128, 29901, 12662, 2699, 304, 671, 408, 6273, 304, 278, 577, 1519, 13, 4706, 584, 3207, 6120, 3160, 29918, 13662, 29901, 26460, 304, 3160, 9066, 297, 278, 1962, 29892, 21274, 304, 5852, 13, 4706, 584, 2457, 29901, 319, 2302, 310, 278, 4206, 3971, 13, 4706, 584, 29878, 1853, 29901, 938, 13, 4706, 9995, 13, 4706, 565, 451, 1583, 29889, 7924, 29901, 13, 9651, 1583, 29889, 7507, 580, 13, 4706, 565, 4128, 338, 6213, 29901, 13, 9651, 4128, 353, 5159, 13, 4706, 565, 7431, 29898, 16744, 29897, 1405, 29871, 29900, 29901, 13, 9651, 4576, 353, 4576, 1273, 18761, 29898, 16744, 29897, 13, 4706, 9049, 5085, 29889, 5504, 3319, 29908, 2856, 29918, 311, 22742, 1115, 5852, 1800, 13, 4706, 4341, 353, 518, 1054, 363, 784, 297, 1583, 3032, 21111, 29918, 13099, 29898, 2850, 4638, 13, 4706, 5694, 29918, 3972, 353, 5694, 1445, 29889, 5776, 1971, 653, 9882, 29898, 13506, 543, 29879, 2122, 10118, 613, 25557, 543, 2395, 4270, 1159, 13, 4706, 565, 451, 934, 2084, 29901, 13, 9651, 13128, 1445, 353, 5694, 1445, 29889, 22175, 5776, 1971, 653, 2283, 29898, 13, 18884, 10944, 543, 1466, 1731, 613, 13, 18884, 25557, 543, 29879, 2122, 10118, 29889, 7638, 613, 13, 18884, 5217, 29922, 8824, 29892, 13, 18884, 4516, 29922, 7382, 29918, 3972, 29889, 978, 29892, 13, 18884, 8025, 543, 9420, 29899, 29947, 613, 13, 9651, 1723, 13, 9651, 934, 2084, 353, 13128, 1445, 29889, 978, 13, 9651, 13128, 1445, 29889, 5358, 580, 13, 4706, 4206, 353, 29871, 29900, 13, 4706, 363, 4489, 297, 1583, 3032, 1885, 29918, 2914, 29918, 19935, 29898, 13, 9651, 4576, 29892, 13, 9651, 4341, 29922, 13099, 29892, 13, 9651, 5694, 29918, 3972, 29922, 7382, 29918, 3972, 29892, 13, 9651, 5694, 29918, 1445, 29922, 1445, 2084, 29892, 13, 9651, 3160, 29918, 13662, 29922, 2856, 29918, 13662, 29892, 13, 9651, 3579, 19290, 29892, 13, 308, 1125, 13, 9651, 4206, 4619, 7431, 29898, 2176, 29897, 13, 9651, 4489, 29889, 517, 29918, 7638, 29898, 13, 18884, 934, 2084, 29892, 13, 18884, 521, 18801, 675, 29922, 29906, 29900, 29900, 29892, 13, 18884, 4839, 29922, 2856, 29918, 13662, 29892, 13, 18884, 8025, 543, 9420, 29899, 29947, 613, 13, 18884, 2380, 29922, 8824, 29892, 13, 18884, 4464, 543, 29874, 613, 13, 9651, 1723, 13, 9651, 565, 3160, 29918, 13662, 29901, 13, 18884, 3160, 29918, 13662, 353, 7700, 13, 4706, 736, 4206, 13, 13, 1678, 822, 903, 1885, 29918, 9902, 29898, 13, 4706, 1583, 29892, 4576, 29901, 851, 29892, 3142, 29901, 851, 353, 6213, 29892, 2531, 29918, 25118, 29901, 851, 353, 6213, 29892, 3579, 19290, 13, 1678, 1723, 1599, 3251, 1061, 29961, 1293, 29961, 10773, 1402, 6213, 29892, 6213, 5387, 13, 4706, 9995, 13, 4706, 3251, 1078, 2582, 515, 14012, 263, 4576, 3229, 29889, 13, 13, 4706, 584, 3207, 851, 4576, 29901, 450, 4576, 3229, 304, 6222, 13, 4706, 584, 3207, 28379, 29961, 710, 29962, 3142, 29901, 450, 3142, 310, 278, 2446, 1813, 310, 2582, 313, 4381, 29901, 6213, 29897, 13, 4706, 584, 3207, 28379, 29961, 710, 29962, 2531, 29918, 25118, 29901, 450, 4867, 29899, 14940, 501, 11150, 313, 4381, 29901, 6213, 29897, 13, 4706, 584, 2457, 29901, 319, 15299, 607, 9819, 4206, 515, 14012, 278, 2183, 4576, 13, 4706, 584, 29878, 1853, 29901, 3251, 1061, 13, 4706, 9995, 13, 4706, 396, 1653, 12623, 318, 5416, 304, 1510, 825, 10748, 526, 760, 310, 278, 1021, 1889, 13, 4706, 565, 451, 2531, 29918, 25118, 29901, 13, 9651, 2531, 29918, 25118, 353, 851, 29898, 25118, 29889, 25118, 29946, 3101, 13, 4706, 2582, 353, 1583, 3032, 657, 29918, 9902, 29898, 2850, 29892, 3142, 29922, 2271, 29892, 2531, 29918, 25118, 29922, 1885, 29918, 25118, 29897, 13, 4706, 565, 451, 2582, 29901, 13, 9651, 7709, 5159, 13, 13, 4706, 2446, 29918, 2271, 353, 6213, 13, 4706, 363, 1948, 297, 2582, 29889, 657, 703, 3757, 4339, 613, 5159, 1125, 13, 9651, 7709, 1583, 3032, 21111, 29918, 798, 29898, 798, 29897, 13, 4706, 565, 451, 2582, 3366, 15091, 3108, 29901, 13, 9651, 2446, 29918, 2271, 353, 2582, 29889, 657, 703, 4622, 4789, 4339, 5983, 613, 6213, 29897, 13, 9651, 363, 1948, 297, 1583, 3032, 1885, 29918, 9902, 29898, 2850, 29892, 3142, 29922, 4622, 29918, 2271, 29892, 2531, 29918, 25118, 29922, 1885, 29918, 25118, 1125, 13, 18884, 7709, 1948, 13, 13, 1678, 822, 2346, 29898, 13, 4706, 1583, 29892, 13, 4706, 4576, 29901, 851, 29892, 13, 4706, 4128, 29901, 2391, 29961, 710, 29962, 353, 6213, 29892, 13, 4706, 3160, 29918, 13662, 29901, 6120, 353, 5852, 29892, 13, 4706, 3579, 19290, 29892, 13, 1678, 1723, 1599, 3251, 1061, 29961, 1293, 29961, 10773, 1402, 6213, 29892, 6213, 5387, 13, 4706, 9995, 13, 4706, 3251, 1078, 278, 2582, 515, 14012, 263, 2183, 4576, 3229, 13, 13, 4706, 584, 3207, 4576, 29901, 450, 2183, 4576, 3229, 304, 6222, 13, 4706, 584, 1853, 4576, 29901, 851, 13, 4706, 584, 3207, 4128, 29901, 450, 4128, 304, 671, 363, 278, 4576, 29892, 21274, 304, 6213, 13, 4706, 584, 1853, 4128, 29901, 2391, 29961, 710, 1402, 13136, 13, 4706, 584, 3207, 3160, 29918, 13662, 29901, 5852, 304, 3160, 4341, 408, 278, 937, 1121, 29892, 13, 9651, 21274, 304, 5852, 13, 4706, 584, 1853, 3160, 29918, 13662, 29901, 6120, 29892, 13136, 13, 4706, 584, 2457, 29901, 319, 15299, 607, 4256, 1078, 975, 2582, 515, 14012, 278, 1517, 484, 4576, 13, 4706, 584, 29878, 1853, 29901, 3251, 1061, 13, 4706, 9995, 13, 13, 4706, 565, 4128, 338, 6213, 29901, 13, 9651, 4128, 353, 5159, 13, 4706, 565, 7431, 29898, 16744, 29897, 1405, 29871, 29900, 29901, 13, 9651, 4576, 353, 4576, 1273, 18761, 29898, 16744, 29897, 13, 13, 4706, 9049, 5085, 29889, 5504, 3319, 29908, 2856, 29918, 311, 22742, 1115, 5852, 1800, 13, 4706, 1583, 29889, 1188, 29889, 3888, 29898, 29888, 29908, 4258, 17068, 2346, 426, 2850, 29991, 29878, 27195, 13, 13, 4706, 565, 3160, 29918, 13662, 29901, 13, 9651, 7709, 1583, 3032, 21111, 29918, 13099, 29898, 2850, 29892, 5191, 3790, 1642, 1115, 11119, 29908, 1800, 13, 13, 4706, 1583, 29889, 7507, 580, 13, 13, 4706, 363, 1948, 297, 1583, 3032, 1885, 29918, 9902, 29898, 2850, 29892, 3579, 19290, 1125, 13, 9651, 7709, 1948, 13, 13, 1678, 822, 5609, 29898, 13, 4706, 1583, 29892, 13, 4706, 4576, 29901, 851, 29892, 13, 4706, 934, 2084, 29901, 851, 29892, 13, 4706, 4128, 29901, 2391, 29961, 710, 29962, 353, 6213, 29892, 13, 4706, 3160, 29918, 13662, 29901, 6120, 353, 5852, 29892, 13, 4706, 3579, 19290, 29892, 13, 1678, 1723, 1599, 851, 29901, 13, 4706, 9995, 13, 4706, 1222, 4011, 278, 1121, 310, 14012, 4576, 304, 263, 2183, 934, 2084, 29889, 13, 13, 4706, 584, 3207, 4576, 29901, 450, 4576, 3229, 304, 6222, 13, 4706, 584, 1853, 4576, 29901, 851, 13, 4706, 584, 3207, 934, 2084, 29901, 450, 934, 2084, 304, 5609, 2582, 304, 13, 4706, 584, 1853, 934, 2084, 29901, 851, 13, 4706, 584, 3207, 4128, 29901, 450, 4128, 304, 671, 363, 278, 4576, 29892, 21274, 304, 6213, 13, 4706, 584, 1853, 4128, 29901, 2391, 29961, 710, 1402, 13136, 13, 4706, 584, 3207, 3160, 29918, 13662, 29901, 5852, 304, 3160, 4341, 408, 278, 937, 1121, 29892, 13, 9651, 21274, 304, 5852, 13, 4706, 584, 1853, 3160, 29918, 13662, 29901, 6120, 29892, 13136, 13, 4706, 584, 2457, 29901, 450, 9819, 5609, 287, 934, 2084, 13, 4706, 584, 29878, 1853, 29901, 851, 13, 4706, 9995, 13, 13, 4706, 1583, 29889, 1188, 29889, 3888, 29898, 29888, 29908, 16554, 2582, 310, 4576, 426, 2850, 29991, 29878, 29913, 304, 426, 1445, 2084, 29991, 29878, 27195, 13, 4706, 565, 451, 4128, 29901, 13, 9651, 4128, 353, 5159, 13, 4706, 1948, 2798, 353, 1583, 29889, 15070, 29918, 7638, 29898, 13, 9651, 4576, 29922, 2850, 29892, 934, 2084, 29922, 1445, 2084, 29892, 4128, 29922, 16744, 29892, 3160, 29918, 13662, 29922, 5574, 13, 4706, 1723, 13, 4706, 1583, 29889, 1188, 29889, 3888, 29898, 29888, 29908, 17435, 323, 3289, 29968, 4810, 3580, 18476, 18610, 29901, 399, 4859, 426, 798, 2798, 29991, 29879, 29913, 4206, 29991, 1159, 13, 4706, 736, 934, 2084, 13, 2 ]
daiquiri_client/auth.py	aipescience/django-daiquiri-client	0	10930	class Auth(): def __init__(self, client): self.client = client def get_profiles(self): return self.client.get('/auth/api/profiles/', {'page_size': 10000})['results'] def get_groups(self): return self.client.get('/auth/api/groups/') def get_group_map(self): return {group['id']: group['name'] for group in self.get_groups()} def activate_profile(self, pk): return self.client.put('/auth/api/profiles/%d/activate/' % pk, {}) def update_profile_attributes(self, pk, attributes): return self.client.patch('/auth/api/profiles/%d/' % pk, {'attributes': attributes})	[ 1, 770, 13189, 7295, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3132, 1125, 13, 4706, 1583, 29889, 4645, 353, 3132, 13, 13, 1678, 822, 679, 29918, 771, 5325, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 4645, 29889, 657, 11219, 5150, 29914, 2754, 29914, 771, 5325, 29914, 742, 11117, 3488, 29918, 2311, 2396, 29871, 29896, 29900, 29900, 29900, 29900, 1800, 1839, 9902, 2033, 13, 13, 1678, 822, 679, 29918, 13155, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 4645, 29889, 657, 11219, 5150, 29914, 2754, 29914, 13155, 29914, 1495, 13, 13, 1678, 822, 679, 29918, 2972, 29918, 1958, 29898, 1311, 1125, 13, 4706, 736, 426, 2972, 1839, 333, 2033, 29901, 2318, 1839, 978, 2033, 363, 2318, 297, 1583, 29889, 657, 29918, 13155, 28296, 13, 13, 1678, 822, 5039, 403, 29918, 10185, 29898, 1311, 29892, 282, 29895, 1125, 13, 4706, 736, 1583, 29889, 4645, 29889, 649, 11219, 5150, 29914, 2754, 29914, 771, 5325, 22584, 29881, 29914, 11236, 403, 22208, 1273, 282, 29895, 29892, 426, 1800, 13, 13, 1678, 822, 2767, 29918, 10185, 29918, 15697, 29898, 1311, 29892, 282, 29895, 29892, 8393, 1125, 13, 4706, 736, 1583, 29889, 4645, 29889, 5041, 11219, 5150, 29914, 2754, 29914, 771, 5325, 22584, 29881, 22208, 1273, 282, 29895, 29892, 11117, 15697, 2396, 8393, 1800, 13, 2 ]
tinychronicler/main.py	adzialocha/tinychronicler	4	195034	<reponame>adzialocha/tinychronicler<filename>tinychronicler/main.py import logging import sys import click from loguru import logger from uvicorn import Config, Server from .constants import LOG_LEVELS from .database import engine, models class InterceptHandler(logging.Handler): def emit(self, record): # Get corresponding Loguru level if it exists try: level = logger.level(record.levelname).name except ValueError: level = record.levelno # Find caller from where originated the logged message frame, depth = logging.currentframe(), 2 while frame.f_code.co_filename == logging.__file__: frame = frame.f_back depth += 1 # Finally log the message logger.opt(depth=depth, exception=record.exc_info).log( level, record.getMessage() ) def setup_logging(log_level: str): # Intercept everything at the root logger logging.root.handlers = [InterceptHandler()] logging.root.setLevel(log_level.upper()) # Remove every other logger's handlers and propagate to root logger for name in logging.root.manager.loggerDict.keys(): logging.getLogger(name).handlers = [] logging.getLogger(name).propagate = True # Configure loguru logger.configure(handlers=[{"sink": sys.stdout, "serialize": False}]) def setup_server(host: str, port: int, log_level: str): config = Config( "tinychronicler:server", host=host, port=port, log_level=log_level, ) server = Server(config=config) return server @click.command() @click.option( "--host", type=str, default="0.0.0.0", help="Bind socket to this host.", show_default=True, ) @click.option( "--port", type=int, default=8000, help="Bind socket to this port.", show_default=True, ) @click.option( "--log-level", type=click.Choice(list(LOG_LEVELS.keys())), default="info", help="Log level.", show_default=True, ) def main(host: str, port: int, log_level: str): # Run all migrations models.Base.metadata.create_all(bind=engine) # Start HTTP server hosting web interface for users server = setup_server(host, port, log_level) # Set up logging after server setup to make sure it overrides everything setup_logging(log_level) # Start server and block thread from here on server.run()	[ 1, 529, 276, 1112, 420, 29958, 328, 10527, 2878, 29874, 29914, 29873, 262, 3376, 1617, 293, 1358, 29966, 9507, 29958, 29873, 262, 3376, 1617, 293, 1358, 29914, 3396, 29889, 2272, 13, 5215, 12183, 13, 5215, 10876, 13, 13, 5215, 2828, 13, 3166, 1480, 20144, 1053, 17927, 13, 3166, 318, 26311, 1398, 1053, 12782, 29892, 5656, 13, 13, 3166, 869, 3075, 1934, 1053, 25401, 29918, 1307, 29963, 6670, 29903, 13, 3166, 869, 9803, 1053, 6012, 29892, 4733, 13, 13, 13, 1990, 4124, 1547, 4598, 29898, 21027, 29889, 4598, 1125, 13, 1678, 822, 20076, 29898, 1311, 29892, 2407, 1125, 13, 4706, 396, 3617, 6590, 4522, 20144, 3233, 565, 372, 4864, 13, 4706, 1018, 29901, 13, 9651, 3233, 353, 17927, 29889, 5563, 29898, 11651, 29889, 5563, 978, 467, 978, 13, 4706, 5174, 7865, 2392, 29901, 13, 9651, 3233, 353, 2407, 29889, 5563, 1217, 13, 13, 4706, 396, 10987, 24959, 515, 988, 3978, 630, 278, 13817, 2643, 13, 4706, 3515, 29892, 10809, 353, 12183, 29889, 3784, 2557, 3285, 29871, 29906, 13, 4706, 1550, 3515, 29889, 29888, 29918, 401, 29889, 1111, 29918, 9507, 1275, 12183, 17255, 1445, 1649, 29901, 13, 9651, 3515, 353, 3515, 29889, 29888, 29918, 1627, 13, 9651, 10809, 4619, 29871, 29896, 13, 13, 4706, 396, 9788, 1480, 278, 2643, 13, 4706, 17927, 29889, 3670, 29898, 19488, 29922, 19488, 29892, 3682, 29922, 11651, 29889, 735, 29883, 29918, 3888, 467, 1188, 29898, 13, 9651, 3233, 29892, 2407, 29889, 28983, 580, 13, 4706, 1723, 13, 13, 13, 1753, 6230, 29918, 21027, 29898, 1188, 29918, 5563, 29901, 851, 1125, 13, 1678, 396, 4124, 1547, 4129, 472, 278, 3876, 17927, 13, 1678, 12183, 29889, 4632, 29889, 3179, 9306, 353, 518, 4074, 1547, 4598, 580, 29962, 13, 1678, 12183, 29889, 4632, 29889, 842, 10108, 29898, 1188, 29918, 5563, 29889, 21064, 3101, 13, 13, 1678, 396, 15154, 1432, 916, 17927, 29915, 29879, 25795, 322, 13089, 403, 304, 3876, 17927, 13, 1678, 363, 1024, 297, 12183, 29889, 4632, 29889, 12847, 29889, 21707, 21533, 29889, 8149, 7295, 13, 4706, 12183, 29889, 657, 16363, 29898, 978, 467, 3179, 9306, 353, 5159, 13, 4706, 12183, 29889, 657, 16363, 29898, 978, 467, 7728, 351, 403, 353, 5852, 13, 13, 1678, 396, 1281, 4532, 1480, 20144, 13, 1678, 17927, 29889, 17591, 29898, 3179, 9306, 11759, 6377, 29879, 682, 1115, 10876, 29889, 25393, 29892, 376, 643, 6646, 1115, 7700, 29913, 2314, 13, 13, 13, 1753, 6230, 29918, 2974, 29898, 3069, 29901, 851, 29892, 2011, 29901, 938, 29892, 1480, 29918, 5563, 29901, 851, 1125, 13, 1678, 2295, 353, 12782, 29898, 13, 4706, 376, 29873, 262, 3376, 1617, 293, 1358, 29901, 2974, 613, 13, 4706, 3495, 29922, 3069, 29892, 13, 4706, 2011, 29922, 637, 29892, 13, 4706, 1480, 29918, 5563, 29922, 1188, 29918, 5563, 29892, 13, 1678, 1723, 13, 1678, 1923, 353, 5656, 29898, 2917, 29922, 2917, 29897, 13, 1678, 736, 1923, 13, 13, 13, 29992, 3808, 29889, 6519, 580, 13, 29992, 3808, 29889, 3385, 29898, 13, 1678, 376, 489, 3069, 613, 13, 1678, 1134, 29922, 710, 29892, 13, 1678, 2322, 543, 29900, 29889, 29900, 29889, 29900, 29889, 29900, 613, 13, 1678, 1371, 543, 15708, 9909, 304, 445, 3495, 19602, 13, 1678, 1510, 29918, 4381, 29922, 5574, 29892, 13, 29897, 13, 29992, 3808, 29889, 3385, 29898, 13, 1678, 376, 489, 637, 613, 13, 1678, 1134, 29922, 524, 29892, 13, 1678, 2322, 29922, 29947, 29900, 29900, 29900, 29892, 13, 1678, 1371, 543, 15708, 9909, 304, 445, 2011, 19602, 13, 1678, 1510, 29918, 4381, 29922, 5574, 29892, 13, 29897, 13, 29992, 3808, 29889, 3385, 29898, 13, 1678, 376, 489, 1188, 29899, 5563, 613, 13, 1678, 1134, 29922, 3808, 29889, 29620, 29898, 1761, 29898, 14480, 29918, 1307, 29963, 6670, 29903, 29889, 8149, 3101, 511, 13, 1678, 2322, 543, 3888, 613, 13, 1678, 1371, 543, 3403, 3233, 19602, 13, 1678, 1510, 29918, 4381, 29922, 5574, 29892, 13, 29897, 13, 1753, 1667, 29898, 3069, 29901, 851, 29892, 2011, 29901, 938, 29892, 1480, 29918, 5563, 29901, 851, 1125, 13, 1678, 396, 7525, 599, 9725, 800, 13, 1678, 4733, 29889, 5160, 29889, 19635, 29889, 3258, 29918, 497, 29898, 5355, 29922, 10599, 29897, 13, 13, 1678, 396, 7370, 7331, 1923, 23376, 1856, 5067, 363, 4160, 13, 1678, 1923, 353, 6230, 29918, 2974, 29898, 3069, 29892, 2011, 29892, 1480, 29918, 5563, 29897, 13, 13, 1678, 396, 3789, 701, 12183, 1156, 1923, 6230, 304, 1207, 1854, 372, 975, 24040, 4129, 13, 1678, 6230, 29918, 21027, 29898, 1188, 29918, 5563, 29897, 13, 13, 1678, 396, 7370, 1923, 322, 2908, 3244, 515, 1244, 373, 13, 1678, 1923, 29889, 3389, 580, 13, 2 ]
tests/initialisations/test_onoda2012pca.py	simonharris/pykmeans	1	145947	<filename>tests/initialisations/test_onoda2012pca.py """ Tests for Onoda 2012 PCA initialisation algorithm """ import unittest from datasets import testloader from initialisations import onoda_pca as onoda class OnodaPCATestSuite(unittest.TestCase): """Test suite for Onoda/PCA""" def test_code_runs(self): """This needs more, but at least prove it runs""" dataset = testloader.load_iris() centroids = onoda.generate(dataset.data, 3) self.assertEqual((3, 4), centroids.shape)	[ 1, 529, 9507, 29958, 21150, 29914, 11228, 275, 800, 29914, 1688, 29918, 265, 8887, 29906, 29900, 29896, 29906, 29886, 1113, 29889, 2272, 13, 15945, 29908, 13, 24376, 363, 1551, 8887, 29871, 29906, 29900, 29896, 29906, 349, 5454, 2847, 4371, 5687, 13, 15945, 29908, 13, 13, 5215, 443, 27958, 13, 13, 3166, 20035, 1053, 1243, 12657, 13, 3166, 2847, 275, 800, 1053, 373, 8887, 29918, 29886, 1113, 408, 373, 8887, 13, 13, 13, 1990, 1551, 8887, 9026, 1299, 342, 5091, 568, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 1678, 9995, 3057, 9460, 363, 1551, 8887, 29914, 29925, 5454, 15945, 29908, 13, 13, 1678, 822, 1243, 29918, 401, 29918, 3389, 29879, 29898, 1311, 1125, 13, 4706, 9995, 4013, 4225, 901, 29892, 541, 472, 3203, 6356, 372, 6057, 15945, 29908, 13, 13, 4706, 8783, 353, 1243, 12657, 29889, 1359, 29918, 381, 275, 580, 13, 4706, 1644, 1007, 29879, 353, 373, 8887, 29889, 17158, 29898, 24713, 29889, 1272, 29892, 29871, 29941, 29897, 13, 4706, 1583, 29889, 9294, 9843, 3552, 29941, 29892, 29871, 29946, 511, 1644, 1007, 29879, 29889, 12181, 29897, 13, 2 ]
package/doctor.py	bodo97/ProyectoFinalPC	89	119657	<filename>package/doctor.py #<NAME> #Python 2.7 from flask_restful import Resource, Api, request from package.model import conn class Doctors(Resource): """This contain apis to carry out activity with all doctors""" def get(self): """Retrive list of all the doctor""" doctors = conn.execute("SELECT * FROM doctor ORDER BY doc_date DESC").fetchall() return doctors def post(self): """Add the new doctor""" doctorInput = request.get_json(force=True) doc_first_name=doctorInput['doc_first_name'] doc_last_name = doctorInput['doc_last_name'] doc_ph_no = doctorInput['doc_ph_no'] doc_address = doctorInput['doc_address'] doctorInput['doc_id']=conn.execute('''INSERT INTO doctor(doc_first_name,doc_last_name,doc_ph_no,doc_address) VALUES(?,?,?,?)''', (doc_first_name, doc_last_name,doc_ph_no,doc_address)).lastrowid conn.commit() return doctorInput class Doctor(Resource): """It include all the apis carrying out the activity with the single doctor""" def get(self,id): """get the details of the docktor by the doctor id""" doctor = conn.execute("SELECT * FROM doctor WHERE doc_id=?",(id,)).fetchall() return doctor def delete(self, id): """Delete the doctor by its id""" conn.execute("DELETE FROM doctor WHERE doc_id=?", (id,)) conn.commit() return {'msg': 'sucessfully deleted'} def put(self,id): """Update the doctor by its id""" doctorInput = request.get_json(force=True) doc_first_name=doctorInput['doc_first_name'] doc_last_name = doctorInput['doc_last_name'] doc_ph_no = doctorInput['doc_ph_no'] doc_address = doctorInput['doc_address'] conn.execute( "UPDATE doctor SET doc_first_name=?,doc_last_name=?,doc_ph_no=?,doc_address=? WHERE doc_id=?", (doc_first_name, doc_last_name, doc_ph_no, doc_address, id)) conn.commit() return doctorInput	[ 1, 529, 9507, 29958, 5113, 29914, 1867, 2801, 29889, 2272, 13, 29937, 29966, 5813, 29958, 13, 29937, 11980, 29871, 29906, 29889, 29955, 13, 13, 3166, 29784, 29918, 5060, 1319, 1053, 18981, 29892, 29749, 29892, 2009, 13, 3166, 3577, 29889, 4299, 1053, 11009, 13, 1990, 1938, 14359, 29898, 6848, 1125, 13, 1678, 9995, 4013, 1712, 3095, 275, 304, 8677, 714, 6354, 411, 599, 437, 14359, 15945, 29908, 13, 13, 1678, 822, 679, 29898, 1311, 1125, 13, 4706, 9995, 8015, 4401, 1051, 310, 599, 278, 11619, 15945, 29908, 13, 13, 4706, 437, 14359, 353, 11009, 29889, 7978, 703, 6404, 334, 3895, 11619, 15606, 6770, 1574, 29918, 1256, 23050, 2564, 9155, 497, 580, 13, 4706, 736, 437, 14359, 13, 13, 13, 13, 1678, 822, 1400, 29898, 1311, 1125, 13, 4706, 9995, 2528, 278, 716, 11619, 15945, 29908, 13, 13, 4706, 11619, 4290, 353, 2009, 29889, 657, 29918, 3126, 29898, 10118, 29922, 5574, 29897, 13, 4706, 1574, 29918, 4102, 29918, 978, 29922, 1867, 2801, 4290, 1839, 1514, 29918, 4102, 29918, 978, 2033, 13, 4706, 1574, 29918, 4230, 29918, 978, 353, 11619, 4290, 1839, 1514, 29918, 4230, 29918, 978, 2033, 13, 4706, 1574, 29918, 561, 29918, 1217, 353, 11619, 4290, 1839, 1514, 29918, 561, 29918, 1217, 2033, 13, 4706, 1574, 29918, 7328, 353, 11619, 4290, 1839, 1514, 29918, 7328, 2033, 13, 4706, 11619, 4290, 1839, 1514, 29918, 333, 2033, 29922, 13082, 29889, 7978, 877, 4907, 19460, 11646, 11619, 29898, 1514, 29918, 4102, 29918, 978, 29892, 1514, 29918, 4230, 29918, 978, 29892, 1514, 29918, 561, 29918, 1217, 29892, 1514, 29918, 7328, 29897, 13, 9651, 15673, 10780, 29892, 14579, 14579, 7897, 4907, 742, 313, 1514, 29918, 4102, 29918, 978, 29892, 1574, 29918, 4230, 29918, 978, 29892, 1514, 29918, 561, 29918, 1217, 29892, 1514, 29918, 7328, 8106, 4230, 798, 333, 13, 4706, 11009, 29889, 15060, 580, 13, 4706, 736, 11619, 4290, 13, 13, 1990, 15460, 29898, 6848, 1125, 13, 1678, 9995, 3112, 3160, 599, 278, 3095, 275, 19436, 714, 278, 6354, 411, 278, 2323, 11619, 15945, 29908, 13, 13, 13, 1678, 822, 679, 29898, 1311, 29892, 333, 1125, 13, 4706, 9995, 657, 278, 4902, 310, 278, 23630, 7345, 491, 278, 11619, 1178, 15945, 29908, 13, 13, 4706, 11619, 353, 11009, 29889, 7978, 703, 6404, 334, 3895, 11619, 5754, 1574, 29918, 333, 29922, 29973, 613, 29898, 333, 29892, 8106, 9155, 497, 580, 13, 4706, 736, 11619, 13, 13, 1678, 822, 5217, 29898, 1311, 29892, 1178, 1125, 13, 4706, 9995, 12498, 278, 11619, 491, 967, 1178, 15945, 29908, 13, 13, 4706, 11009, 29889, 7978, 703, 2287, 18476, 3895, 11619, 5754, 1574, 29918, 333, 29922, 29973, 613, 313, 333, 29892, 876, 13, 4706, 11009, 29889, 15060, 580, 13, 4706, 736, 11117, 7645, 2396, 525, 2146, 985, 3730, 11132, 10827, 13, 13, 1678, 822, 1925, 29898, 1311, 29892, 333, 1125, 13, 4706, 9995, 6422, 278, 11619, 491, 967, 1178, 15945, 29908, 13, 13, 4706, 11619, 4290, 353, 2009, 29889, 657, 29918, 3126, 29898, 10118, 29922, 5574, 29897, 13, 4706, 1574, 29918, 4102, 29918, 978, 29922, 1867, 2801, 4290, 1839, 1514, 29918, 4102, 29918, 978, 2033, 13, 4706, 1574, 29918, 4230, 29918, 978, 353, 11619, 4290, 1839, 1514, 29918, 4230, 29918, 978, 2033, 13, 4706, 1574, 29918, 561, 29918, 1217, 353, 11619, 4290, 1839, 1514, 29918, 561, 29918, 1217, 2033, 13, 4706, 1574, 29918, 7328, 353, 11619, 4290, 1839, 1514, 29918, 7328, 2033, 13, 4706, 11009, 29889, 7978, 29898, 13, 9651, 376, 14474, 11619, 11368, 1574, 29918, 4102, 29918, 978, 29922, 14579, 1514, 29918, 4230, 29918, 978, 29922, 14579, 1514, 29918, 561, 29918, 1217, 29922, 14579, 1514, 29918, 7328, 29922, 29973, 5754, 1574, 29918, 333, 29922, 29973, 613, 13, 9651, 313, 1514, 29918, 4102, 29918, 978, 29892, 1574, 29918, 4230, 29918, 978, 29892, 1574, 29918, 561, 29918, 1217, 29892, 1574, 29918, 7328, 29892, 1178, 876, 13, 4706, 11009, 29889, 15060, 580, 13, 4706, 736, 11619, 4290, 2 ]
p3d/__init__.py	Derfies/p3d	0	28757	<filename>p3d/__init__.py<gh_stars>0 from pandac.PandaModules import Vec3 P3D_VERSION = '0.1' __version__ = P3D_VERSION from constants import * from functions import * import commonUtils from object import Object from singleTask import SingleTask from nodePathObject import NodePathObject from pandaObject import * from pandaBehaviour import PandaBehaviour from pandaManager import PandaManager from marquee import Marquee from camera import * from editorCamera import EditorCamera from frameRate import FrameRate from displayShading import DisplayShading from mouse import * from mousePicker import MousePicker import geometry try: import wxPanda as wx except: print 'Failed to find wx module'	[ 1, 529, 9507, 29958, 29886, 29941, 29881, 29914, 1649, 2344, 26914, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 282, 392, 562, 29889, 29925, 5863, 2111, 2540, 1053, 26393, 29941, 13, 13, 13, 29925, 29941, 29928, 29918, 16358, 353, 525, 29900, 29889, 29896, 29915, 13, 13, 13, 1649, 3259, 1649, 353, 349, 29941, 29928, 29918, 16358, 13, 13, 13, 3166, 17727, 1053, 334, 13, 3166, 3168, 1053, 334, 13, 5215, 3619, 12177, 13, 13, 3166, 1203, 1053, 4669, 13, 3166, 2323, 5398, 1053, 16740, 5398, 13, 3166, 2943, 2605, 2061, 1053, 9071, 2605, 2061, 13, 3166, 282, 5863, 2061, 1053, 334, 13, 3166, 282, 5863, 3629, 8708, 8975, 1053, 349, 5863, 3629, 8708, 8975, 13, 3166, 282, 5863, 3260, 1053, 349, 5863, 3260, 13, 13, 3166, 29452, 29872, 1053, 1085, 802, 29872, 13, 3166, 10656, 1053, 334, 13, 3166, 6920, 20717, 1053, 14059, 20717, 13, 3166, 3515, 19907, 1053, 12218, 19907, 13, 3166, 2479, 2713, 9382, 1053, 17440, 2713, 9382, 13, 3166, 9495, 1053, 334, 13, 3166, 9495, 13954, 1053, 25992, 13954, 13, 5215, 16303, 13, 2202, 29901, 13, 1678, 1053, 26437, 29925, 5863, 408, 26437, 13, 19499, 29901, 13, 1678, 1596, 525, 17776, 304, 1284, 26437, 3883, 29915, 2 ]
sagemaker-experiments/track-an-airflow-workflow/code/train.py	jerrypeng7773/amazon-sagemaker-examples	2,610	149611	# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). You # may not use this file except in compliance with the License. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. This file is # distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied. See the License for the specific # language governing permissions and limitations under the License. import argparse import logging import os import numpy as np import tensorflow as tf import tensorflow.keras.backend as K from data_util import load_test_dataset, load_train_dataset from model import get_model from sklearn.model_selection import train_test_split logging.getLogger().setLevel(logging.INFO) tf.logging.set_verbosity(tf.logging.ERROR) # Copy inference pre/post-processing script so it will be included in the model package os.system("mkdir /opt/ml/model/code") os.system("cp inference.py /opt/ml/model/code") os.system("cp requirements.txt /opt/ml/model/code") def save_model(model, path): tf.contrib.saved_model.save_keras_model(model, f"{path}/SavedModel") logging.info("Model successfully saved at: {}".format(path)) def main(args): model = get_model( filters=args.filter_sizes, hidden_units=args.hidden_size, dropouts=args.dropout_sizes, num_class=args.num_classes, ) # load training data x, y = load_train_dataset(droot=args.train_dir) # one-hot encode label one_hot_y = np.zeros((y.shape[0], args.num_classes)) one_hot_y[np.arange(y.shape[0]), y] = 1 # split x and y into train and val set X_train, X_val, y_train, y_val = train_test_split( x, one_hot_y, test_size=args.test_size, random_state=42, shuffle=True ) # normalize the x image X_train = X_train / 255 X_val = X_val / 255 opt = tf.keras.optimizers.Adam(args.learning_rate, args.momentum) model.compile( loss="categorical_crossentropy", optimizer=opt, metrics=["categorical_crossentropy", "accuracy"], ) # a callback to save model ckpt after each epoch if better model is found model_ckpt_callback = tf.keras.callbacks.ModelCheckpoint( args.output_data_dir + "/checkpoint-{epoch}.h5", monitor="val_accuracy", ) logging.info("Start training ...") model.fit( X_train, y_train, validation_data=(X_val, y_val), batch_size=args.batch_size, epochs=args.epochs, callbacks=[model_ckpt_callback], verbose=2, ) save_model(model, args.model_output_dir) if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument( "--filter-sizes", nargs=2, type=int, default=[64, 32], help="Filter size with length of 2" ) parser.add_argument( "--hidden-size", type=int, default=256, help="Feed-forward layer hidden unit size." ) parser.add_argument( "--dropout-sizes", nargs=3, type=float, default=[0.3, 0.3, 0.5], help="Dropout layer size with length of 2", ) parser.add_argument( "--num-classes", type=int, default=10, help="Num of class in classification task." ) parser.add_argument("--learning-rate", type=float, default=0.001, help="Initial learning rate.") parser.add_argument("--epochs", type=int, default=10) parser.add_argument("--batch-size", type=int, default=128) parser.add_argument("--test-size", type=float, default=0.2) parser.add_argument("--momentum", type=float, default=0.9) parser.add_argument("--train-dir", type=str, default=os.environ.get("SM_CHANNEL_TRAINING")) parser.add_argument("--model_dir", type=str) parser.add_argument("--model-output-dir", type=str, default=os.environ.get("SM_MODEL_DIR")) parser.add_argument("--output-data-dir", type=str, default=os.environ.get("SM_OUTPUT_DATA_DIR")) args = parser.parse_args() main(args)	[ 1, 396, 14187, 1266, 29871, 29906, 29900, 29896, 29947, 16631, 29889, 510, 29892, 9266, 29889, 470, 967, 23736, 1078, 29889, 2178, 26863, 2538, 9841, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 2564, 887, 13, 29937, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 319, 3509, 310, 13, 29937, 278, 19245, 338, 5982, 472, 13, 29937, 13, 29937, 268, 1732, 597, 10467, 29889, 17260, 29889, 510, 29914, 4288, 29906, 29889, 29900, 29914, 13, 29937, 13, 29937, 470, 297, 278, 376, 506, 1947, 29908, 934, 10259, 1384, 292, 445, 934, 29889, 910, 934, 338, 13, 29937, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13, 29937, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 2823, 278, 19245, 363, 278, 2702, 13, 29937, 4086, 14765, 1076, 11239, 322, 27028, 1090, 278, 19245, 29889, 13, 13, 5215, 1852, 5510, 13, 5215, 12183, 13, 5215, 2897, 13, 13, 5215, 12655, 408, 7442, 13, 5215, 26110, 408, 15886, 13, 5215, 26110, 29889, 3946, 294, 29889, 27852, 408, 476, 13, 3166, 848, 29918, 4422, 1053, 2254, 29918, 1688, 29918, 24713, 29892, 2254, 29918, 14968, 29918, 24713, 13, 3166, 1904, 1053, 679, 29918, 4299, 13, 3166, 2071, 19668, 29889, 4299, 29918, 21731, 1053, 7945, 29918, 1688, 29918, 5451, 13, 13, 21027, 29889, 657, 16363, 2141, 842, 10108, 29898, 21027, 29889, 11690, 29897, 13, 13264, 29889, 21027, 29889, 842, 29918, 18248, 359, 537, 29898, 13264, 29889, 21027, 29889, 11432, 29897, 13, 13, 29937, 29871, 14187, 27262, 758, 29914, 2490, 29899, 19170, 2471, 577, 372, 674, 367, 5134, 297, 278, 1904, 3577, 13, 359, 29889, 5205, 703, 11256, 3972, 847, 3670, 29914, 828, 29914, 4299, 29914, 401, 1159, 13, 359, 29889, 5205, 703, 6814, 27262, 29889, 2272, 847, 3670, 29914, 828, 29914, 4299, 29914, 401, 1159, 13, 359, 29889, 5205, 703, 6814, 11780, 29889, 3945, 847, 3670, 29914, 828, 29914, 4299, 29914, 401, 1159, 13, 13, 13, 1753, 4078, 29918, 4299, 29898, 4299, 29892, 2224, 1125, 13, 1678, 15886, 29889, 21570, 29889, 17314, 29918, 4299, 29889, 7620, 29918, 3946, 294, 29918, 4299, 29898, 4299, 29892, 285, 29908, 29912, 2084, 6822, 29903, 10511, 3195, 1159, 13, 1678, 12183, 29889, 3888, 703, 3195, 8472, 7160, 472, 29901, 6571, 1642, 4830, 29898, 2084, 876, 13, 13, 13, 1753, 1667, 29898, 5085, 1125, 13, 1678, 1904, 353, 679, 29918, 4299, 29898, 13, 4706, 18094, 29922, 5085, 29889, 4572, 29918, 29879, 7093, 29892, 13, 4706, 7934, 29918, 348, 1169, 29922, 5085, 29889, 10892, 29918, 2311, 29892, 13, 4706, 5768, 17718, 29922, 5085, 29889, 8865, 449, 29918, 29879, 7093, 29892, 13, 4706, 954, 29918, 1990, 29922, 5085, 29889, 1949, 29918, 13203, 29892, 13, 1678, 1723, 13, 13, 1678, 396, 2254, 6694, 848, 13, 1678, 921, 29892, 343, 353, 2254, 29918, 14968, 29918, 24713, 29898, 29881, 4632, 29922, 5085, 29889, 14968, 29918, 3972, 29897, 13, 1678, 396, 697, 29899, 8711, 19750, 3858, 13, 1678, 697, 29918, 8711, 29918, 29891, 353, 7442, 29889, 3298, 359, 3552, 29891, 29889, 12181, 29961, 29900, 1402, 6389, 29889, 1949, 29918, 13203, 876, 13, 1678, 697, 29918, 8711, 29918, 29891, 29961, 9302, 29889, 279, 927, 29898, 29891, 29889, 12181, 29961, 29900, 11724, 343, 29962, 353, 29871, 29896, 13, 1678, 396, 6219, 921, 322, 343, 964, 7945, 322, 659, 731, 13, 1678, 1060, 29918, 14968, 29892, 1060, 29918, 791, 29892, 343, 29918, 14968, 29892, 343, 29918, 791, 353, 7945, 29918, 1688, 29918, 5451, 29898, 13, 4706, 921, 29892, 697, 29918, 8711, 29918, 29891, 29892, 1243, 29918, 2311, 29922, 5085, 29889, 1688, 29918, 2311, 29892, 4036, 29918, 3859, 29922, 29946, 29906, 29892, 528, 21897, 29922, 5574, 13, 1678, 1723, 13, 13, 1678, 396, 4226, 675, 278, 921, 1967, 13, 1678, 1060, 29918, 14968, 353, 1060, 29918, 14968, 847, 29871, 29906, 29945, 29945, 13, 1678, 1060, 29918, 791, 353, 1060, 29918, 791, 847, 29871, 29906, 29945, 29945, 13, 13, 1678, 3523, 353, 15886, 29889, 3946, 294, 29889, 20640, 19427, 29889, 3253, 314, 29898, 5085, 29889, 21891, 29918, 10492, 29892, 6389, 29889, 29885, 2932, 398, 29897, 13, 13, 1678, 1904, 29889, 12198, 29898, 13, 4706, 6410, 543, 29883, 20440, 936, 29918, 19128, 296, 14441, 613, 13, 4706, 5994, 3950, 29922, 3670, 29892, 13, 4706, 21556, 29922, 3366, 29883, 20440, 936, 29918, 19128, 296, 14441, 613, 376, 562, 2764, 4135, 12436, 13, 1678, 1723, 13, 13, 1678, 396, 263, 6939, 304, 4078, 1904, 274, 29895, 415, 1156, 1269, 21502, 305, 565, 2253, 1904, 338, 1476, 13, 1678, 1904, 29918, 384, 415, 29918, 14035, 353, 15886, 29889, 3946, 294, 29889, 14035, 29879, 29889, 3195, 5596, 3149, 29898, 13, 4706, 6389, 29889, 4905, 29918, 1272, 29918, 3972, 718, 5591, 3198, 3149, 29899, 29912, 1022, 2878, 1836, 29882, 29945, 613, 13, 4706, 11819, 543, 791, 29918, 562, 2764, 4135, 613, 13, 1678, 1723, 13, 13, 1678, 12183, 29889, 3888, 703, 4763, 6694, 2023, 1159, 13, 1678, 1904, 29889, 9202, 29898, 13, 4706, 1060, 29918, 14968, 29892, 13, 4706, 343, 29918, 14968, 29892, 13, 4706, 8845, 29918, 1272, 7607, 29990, 29918, 791, 29892, 343, 29918, 791, 511, 13, 4706, 9853, 29918, 2311, 29922, 5085, 29889, 16175, 29918, 2311, 29892, 13, 4706, 21502, 12168, 29922, 5085, 29889, 1022, 2878, 29879, 29892, 13, 4706, 6939, 29879, 11759, 4299, 29918, 384, 415, 29918, 14035, 1402, 13, 4706, 26952, 29922, 29906, 29892, 13, 1678, 1723, 13, 13, 1678, 4078, 29918, 4299, 29898, 4299, 29892, 6389, 29889, 4299, 29918, 4905, 29918, 3972, 29897, 13, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 13, 1678, 13812, 353, 1852, 5510, 29889, 15730, 11726, 580, 13, 13, 1678, 13812, 29889, 1202, 29918, 23516, 29898, 13, 4706, 376, 489, 4572, 29899, 29879, 7093, 613, 302, 5085, 29922, 29906, 29892, 1134, 29922, 524, 29892, 2322, 11759, 29953, 29946, 29892, 29871, 29941, 29906, 1402, 1371, 543, 5072, 2159, 411, 3309, 310, 29871, 29906, 29908, 13, 1678, 1723, 13, 1678, 13812, 29889, 1202, 29918, 23516, 29898, 13, 4706, 376, 489, 10892, 29899, 2311, 613, 1134, 29922, 524, 29892, 2322, 29922, 29906, 29945, 29953, 29892, 1371, 543, 29737, 29899, 11333, 7546, 7934, 5190, 2159, 1213, 13, 1678, 1723, 13, 1678, 13812, 29889, 1202, 29918, 23516, 29898, 13, 4706, 376, 489, 8865, 449, 29899, 29879, 7093, 613, 13, 4706, 302, 5085, 29922, 29941, 29892, 13, 4706, 1134, 29922, 7411, 29892, 13, 4706, 2322, 11759, 29900, 29889, 29941, 29892, 29871, 29900, 29889, 29941, 29892, 29871, 29900, 29889, 29945, 1402, 13, 4706, 1371, 543, 15063, 449, 7546, 2159, 411, 3309, 310, 29871, 29906, 613, 13, 1678, 1723, 13, 1678, 13812, 29889, 1202, 29918, 23516, 29898, 13, 4706, 376, 489, 1949, 29899, 13203, 613, 1134, 29922, 524, 29892, 2322, 29922, 29896, 29900, 29892, 1371, 543, 8009, 310, 770, 297, 12965, 3414, 1213, 13, 1678, 1723, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 21891, 29899, 10492, 613, 1134, 29922, 7411, 29892, 2322, 29922, 29900, 29889, 29900, 29900, 29896, 29892, 1371, 543, 15514, 6509, 6554, 23157, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 1022, 2878, 29879, 613, 1134, 29922, 524, 29892, 2322, 29922, 29896, 29900, 29897, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 16175, 29899, 2311, 613, 1134, 29922, 524, 29892, 2322, 29922, 29896, 29906, 29947, 29897, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 1688, 29899, 2311, 613, 1134, 29922, 7411, 29892, 2322, 29922, 29900, 29889, 29906, 29897, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 29885, 2932, 398, 613, 1134, 29922, 7411, 29892, 2322, 29922, 29900, 29889, 29929, 29897, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 14968, 29899, 3972, 613, 1134, 29922, 710, 29892, 2322, 29922, 359, 29889, 21813, 29889, 657, 703, 17061, 29918, 3210, 2190, 29940, 6670, 29918, 29911, 4717, 1177, 4214, 5783, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 4299, 29918, 3972, 613, 1134, 29922, 710, 29897, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 4299, 29899, 4905, 29899, 3972, 613, 1134, 29922, 710, 29892, 2322, 29922, 359, 29889, 21813, 29889, 657, 703, 17061, 29918, 20387, 29931, 29918, 9464, 5783, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 4905, 29899, 1272, 29899, 3972, 613, 1134, 29922, 710, 29892, 2322, 29922, 359, 29889, 21813, 29889, 657, 703, 17061, 29918, 12015, 12336, 29918, 14573, 29918, 9464, 5783, 13, 13, 1678, 6389, 353, 13812, 29889, 5510, 29918, 5085, 580, 13, 13, 1678, 1667, 29898, 5085, 29897, 13, 2 ]
train/manager.py	LiuTed/gym-TD	0	47066	import os import shutil import re from collections import OrderedDict import subprocess import numpy as np import atexit class Result: checkpoint = None log = None tarball = None board = None if __name__ == '__main__': results = OrderedDict() def load_files(): files = os.listdir() for f in files: res = re.match('ckpt-([0-9]{6}-[0-9]{6})', f) if res is not None: val = results.get(res.group(1), Result()) val.checkpoint = f results[res.group(1)] = val res = re.match('Result-([0-9]{6}-[0-9]{6})', f) if res is not None: val = results.get(res.group(1), Result()) val.log = f results[res.group(1)] = val res = re.match('result-([0-9]{6}-[0-9]{6}).tar.gz', f) if res is not None: val = results.get(res.group(1), Result()) val.tarball = f results[res.group(1)] = val def get_size(start, human = True): ts = 0 unit = 0 if os.path.islink(start): return ts, unit if os.path.isdir(start): for dirpath, dirnames, filenames in os.walk(start): for f in filenames: fp = os.path.join(dirpath, f) if not os.path.islink(fp): ts += os.path.getsize(fp) else: ts = os.path.getsize(start) if human: while ts >= 1024: ts /= 1024 unit += 1 return ts, unit def result_list(): print('ID:\tTime\t\tC L T B') print('Size:\tC\tL\tT') units = ['B', 'KB', 'MB', 'GB', 'TB', ''] for i, (d, r) in enumerate(results.items()): print( '{}:\t{}\t{} {} {} {}'.format( i, d, 'C' if r.checkpoint is not None else '-', 'L' if r.log is not None else '-', 'T' if r.tarball is not None else '-', 'B' if r.board is not None else '-' ) ) if r.checkpoint is not None: cs, cu = get_size(r.checkpoint) else: cs, cu = 0, 0 if r.log is not None: ls, lu = get_size(r.log) else: ls, lu = 0, 0 if r.tarball is not None: ts, tu = get_size(r.tarball) else: ts, tu = 0, 0 print( '\t{:.1f}{}\t{:.1f}{}\t{:.1f}{}'.format( cs, units[cu], ls, units[lu], ts, units[tu] ) ) def get_key_val(sid, keys, show=True): if len(sid.split('-')) == 1: id = int(sid) if id >= len(results): if show: print('Unknown index', sid) return None, None key = keys[id] else: key = sid try: val = results[key] except: if show: print('Unknown time', key) return None, None return key, val print('Checking files') load_files() print('Results:') result_list() while True: cmd = input('> ') values = list(results.values()) keys = list(results.keys()) if cmd.strip() == '': continue if cmd == 'ls' or cmd == 'list': result_list() continue if cmd == 'exit': break res = re.match('rm( checkpoint\| log\| tarball)( [0-9]+\| [0-9]{6}-[0-9]{6})+\s$', cmd) if res is not None: actions = 0 dkeys = [] for m in re.finditer('checkpoint\|log\|tarball', cmd): act = m.group(0) if act == 'checkpoint': actions \|= 1 continue if act == 'log': actions \|= 2 continue if act == 'tarball': actions \|= 4 continue for m in re.finditer(' [0-9]+\| [0-9]{6}-[0-9]{6}', cmd): sid = m.group(0) key, val = get_key_val(sid.strip(), keys) if key is None: continue dkeys.append(key) if actions == 0: actions = 7 dkeys = np.unique(dkeys) if len(dkeys) == 0: print('Has nothing to delete') continue print('Deleting the{}{}{} of the following results:'.format( ' checkpoint' if actions & 1 != 0 else '', ' log' if actions & 2 != 0 else '', ' tarball' if actions & 4 != 0 else '' )) for key in dkeys: print(key) ck = input('[y/N] ') if ck.upper() == 'Y': for key in dkeys: val = results[key] if actions & 1 != 0 and val.checkpoint is not None: print('Deleting', val.checkpoint) shutil.rmtree(val.checkpoint) val.checkpoint = None if actions & 2 != 0 and val.log is not None: if val.board is not None: print('Closing the tensorboard process of result {}'.format(key)) val.board.terminate() val.board.wait(10) if val.board.poll() is None: val.board.kill() val.board = None print('Deleting', val.log) shutil.rmtree(val.log) val.log = None if actions & 4 != 0 and val.tarball is not None: print('Deleting', val.tarball) os.remove(val.tarball) val.tarball = None if val.checkpoint is not None\ or val.log is not None\ or val.tarball is not None: results[key] = val else: results.pop(key) load_files() continue res = re.match('board ([0-9]+\|[0-9]{6}-[0-9]{6})\s$', cmd) if res is not None: sid = res.group(1) key, val = get_key_val(sid, keys) if key is None: continue if val.board is not None: print('board of {} is running'.format(key)) continue if val.log is None: print('log of {} does not exists'.format(key)) continue subp = subprocess.Popen( ['tensorboard', '--logdir='+val.log, '--bind_all'], shell = False, stdout = subprocess.DEVNULL ) val.board = subp results[key] = val continue res = re.match('stop ([0-9]+\|[0-9]{6}-[0-9]{6})\s$', cmd) if res is not None: sid = res.group(1) key, val = get_key_val(sid, keys) if key is None: continue if val.board is None: print('board of {} is not running'.format(key)) continue val.board.terminate() val.board.wait() val.board = None results[key] = val continue res = re.match('pack ([0-9]+\|[0-9]{6}-[0-9]{6})\s$', cmd) if res is not None: sid = res.group(1) key, val = get_key_val(sid, keys) if key is None: continue if val.tarball is not None: print('tarball of {} has already existed'.format(key)) continue subp = subprocess.Popen( 'tar czvf result-{}.tar.gz {} {}'.format( key, val.checkpoint or '', val.log or '' ), shell = True ) subp.wait() val.tarball = 'result-{}.tar.gz'.format(key) results[key] = val continue res = re.match('unpack ([0-9]+\|[0-9]{6}-[0-9]{6})\s$', cmd) if res is not None: sid = res.group(1) key, val = get_key_val(sid, keys) if key is None: continue if val.tarball is None: print('tarball of {} does not exist'.format(key)) continue subp = subprocess.Popen( 'tar xzvf {}'.format(val.tarball), shell = True ) subp.wait() load_files() continue if cmd != 'help': print('Unknown command', cmd) print('''Usage: help: show this message ls: list the status of results with format \'ID: time has_checkpoint has_log has_tarball if_tensorboard_running\' rm [checkpoint] [log] [tarball] id/time[ id/time[ ...]]: remove the results listed (double check needed) board id/time: execute tensorboard to visualize the result specified stop id/time: stop tensorboard of that result pack id/time: pack the result into tar ball unpack id/time: unpack the tar ball of result exit: exit''' )	[ 1, 1053, 2897, 13, 5215, 528, 4422, 13, 5215, 337, 13, 3166, 16250, 1053, 8170, 287, 21533, 13, 5215, 1014, 5014, 13, 5215, 12655, 408, 7442, 13, 5215, 263, 4776, 277, 13, 13, 1990, 7867, 29901, 13, 1678, 1423, 3149, 353, 6213, 13, 1678, 1480, 353, 6213, 13, 1678, 9913, 2135, 353, 6213, 13, 1678, 7613, 353, 6213, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 2582, 353, 8170, 287, 21533, 580, 13, 13, 1678, 822, 2254, 29918, 5325, 7295, 13, 4706, 2066, 353, 2897, 29889, 1761, 3972, 580, 13, 4706, 363, 285, 297, 2066, 29901, 13, 9651, 620, 353, 337, 29889, 4352, 877, 384, 415, 29899, 4197, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 1800, 742, 285, 29897, 13, 9651, 565, 620, 338, 451, 6213, 29901, 13, 18884, 659, 353, 2582, 29889, 657, 29898, 690, 29889, 2972, 29898, 29896, 511, 7867, 3101, 13, 18884, 659, 29889, 3198, 3149, 353, 285, 13, 18884, 2582, 29961, 690, 29889, 2972, 29898, 29896, 4638, 353, 659, 13, 9651, 620, 353, 337, 29889, 4352, 877, 3591, 29899, 4197, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 1800, 742, 285, 29897, 13, 9651, 565, 620, 338, 451, 6213, 29901, 13, 18884, 659, 353, 2582, 29889, 657, 29898, 690, 29889, 2972, 29898, 29896, 511, 7867, 3101, 13, 18884, 659, 29889, 1188, 353, 285, 13, 18884, 2582, 29961, 690, 29889, 2972, 29898, 29896, 4638, 353, 659, 13, 9651, 620, 353, 337, 29889, 4352, 877, 2914, 29899, 4197, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 7690, 12637, 29889, 18828, 742, 285, 29897, 13, 9651, 565, 620, 338, 451, 6213, 29901, 13, 18884, 659, 353, 2582, 29889, 657, 29898, 690, 29889, 2972, 29898, 29896, 511, 7867, 3101, 13, 18884, 659, 29889, 12637, 2135, 353, 285, 13, 18884, 2582, 29961, 690, 29889, 2972, 29898, 29896, 4638, 353, 659, 13, 268, 13, 1678, 822, 679, 29918, 2311, 29898, 2962, 29892, 5199, 353, 5852, 1125, 13, 4706, 18696, 353, 29871, 29900, 13, 4706, 5190, 353, 29871, 29900, 13, 4706, 565, 2897, 29889, 2084, 29889, 275, 2324, 29898, 2962, 1125, 13, 9651, 736, 18696, 29892, 5190, 13, 4706, 565, 2897, 29889, 2084, 29889, 275, 3972, 29898, 2962, 1125, 13, 9651, 363, 4516, 2084, 29892, 4516, 7039, 29892, 977, 264, 1280, 297, 2897, 29889, 20919, 29898, 2962, 1125, 13, 18884, 363, 285, 297, 977, 264, 1280, 29901, 13, 462, 1678, 285, 29886, 353, 2897, 29889, 2084, 29889, 7122, 29898, 3972, 2084, 29892, 285, 29897, 13, 462, 1678, 565, 451, 2897, 29889, 2084, 29889, 275, 2324, 29898, 18091, 1125, 13, 462, 4706, 18696, 4619, 2897, 29889, 2084, 29889, 657, 2311, 29898, 18091, 29897, 13, 4706, 1683, 29901, 13, 9651, 18696, 353, 2897, 29889, 2084, 29889, 657, 2311, 29898, 2962, 29897, 13, 4706, 565, 5199, 29901, 13, 9651, 1550, 18696, 6736, 29871, 29896, 29900, 29906, 29946, 29901, 13, 18884, 18696, 847, 29922, 29871, 29896, 29900, 29906, 29946, 13, 18884, 5190, 4619, 29871, 29896, 13, 4706, 736, 18696, 29892, 5190, 13, 268, 13, 1678, 822, 1121, 29918, 1761, 7295, 13, 4706, 1596, 877, 1367, 3583, 29873, 2481, 29905, 29873, 29905, 29873, 29907, 365, 323, 350, 1495, 13, 4706, 1596, 877, 3505, 3583, 29873, 29907, 29905, 29873, 29931, 29905, 29873, 29911, 1495, 13, 4706, 10340, 353, 6024, 29933, 742, 525, 26067, 742, 525, 9486, 742, 525, 7210, 742, 525, 24895, 742, 525, 2033, 13, 4706, 363, 474, 29892, 313, 29881, 29892, 364, 29897, 297, 26985, 29898, 9902, 29889, 7076, 580, 1125, 13, 9651, 1596, 29898, 13, 18884, 525, 8875, 3583, 29873, 29912, 1012, 29873, 8875, 6571, 6571, 6571, 4286, 4830, 29898, 13, 462, 1678, 474, 29892, 13, 462, 1678, 270, 29892, 13, 462, 1678, 525, 29907, 29915, 565, 364, 29889, 3198, 3149, 338, 451, 6213, 1683, 17411, 742, 13, 462, 1678, 525, 29931, 29915, 565, 364, 29889, 1188, 338, 451, 6213, 1683, 17411, 742, 13, 462, 1678, 525, 29911, 29915, 565, 364, 29889, 12637, 2135, 338, 451, 6213, 1683, 17411, 742, 13, 462, 1678, 525, 29933, 29915, 565, 364, 29889, 3377, 338, 451, 6213, 1683, 17411, 29915, 13, 18884, 1723, 13, 9651, 1723, 13, 9651, 565, 364, 29889, 3198, 3149, 338, 451, 6213, 29901, 13, 18884, 5939, 29892, 2723, 353, 679, 29918, 2311, 29898, 29878, 29889, 3198, 3149, 29897, 13, 9651, 1683, 29901, 13, 18884, 5939, 29892, 2723, 353, 29871, 29900, 29892, 29871, 29900, 13, 9651, 565, 364, 29889, 1188, 338, 451, 6213, 29901, 13, 18884, 19375, 29892, 8092, 353, 679, 29918, 2311, 29898, 29878, 29889, 1188, 29897, 13, 9651, 1683, 29901, 13, 18884, 19375, 29892, 8092, 353, 29871, 29900, 29892, 29871, 29900, 13, 9651, 565, 364, 29889, 12637, 2135, 338, 451, 6213, 29901, 13, 18884, 18696, 29892, 5291, 353, 679, 29918, 2311, 29898, 29878, 29889, 12637, 2135, 29897, 13, 9651, 1683, 29901, 13, 18884, 18696, 29892, 5291, 353, 29871, 29900, 29892, 29871, 29900, 13, 9651, 1596, 29898, 13, 18884, 11297, 29873, 25641, 29889, 29896, 29888, 1157, 1012, 29873, 25641, 29889, 29896, 29888, 1157, 1012, 29873, 25641, 29889, 29896, 29888, 1157, 29913, 4286, 4830, 29898, 13, 462, 1678, 5939, 29892, 10340, 29961, 4979, 1402, 13, 462, 1678, 19375, 29892, 10340, 29961, 6092, 1402, 13, 462, 1678, 18696, 29892, 10340, 29961, 9161, 29962, 13, 18884, 1723, 13, 9651, 1723, 13, 268, 13, 1678, 822, 679, 29918, 1989, 29918, 791, 29898, 29879, 333, 29892, 6611, 29892, 1510, 29922, 5574, 1125, 13, 4706, 565, 7431, 29898, 29879, 333, 29889, 5451, 877, 29899, 8785, 1275, 29871, 29896, 29901, 13, 9651, 1178, 353, 938, 29898, 29879, 333, 29897, 13, 9651, 565, 1178, 6736, 7431, 29898, 9902, 1125, 13, 18884, 565, 1510, 29901, 13, 462, 1678, 1596, 877, 14148, 2380, 742, 25349, 29897, 13, 18884, 736, 6213, 29892, 6213, 13, 9651, 1820, 353, 6611, 29961, 333, 29962, 13, 4706, 1683, 29901, 13, 9651, 1820, 353, 25349, 13, 4706, 1018, 29901, 13, 9651, 659, 353, 2582, 29961, 1989, 29962, 13, 4706, 5174, 29901, 13, 9651, 565, 1510, 29901, 13, 18884, 1596, 877, 14148, 931, 742, 1820, 29897, 13, 9651, 736, 6213, 29892, 6213, 13, 4706, 736, 1820, 29892, 659, 13, 308, 13, 1678, 1596, 877, 5596, 292, 2066, 1495, 13, 1678, 2254, 29918, 5325, 580, 13, 13, 1678, 1596, 877, 12191, 29901, 1495, 13, 1678, 1121, 29918, 1761, 580, 13, 13, 1678, 1550, 5852, 29901, 13, 4706, 9920, 353, 1881, 877, 29958, 25710, 13, 4706, 1819, 353, 1051, 29898, 9902, 29889, 5975, 3101, 13, 4706, 6611, 353, 1051, 29898, 9902, 29889, 8149, 3101, 13, 13, 4706, 565, 9920, 29889, 17010, 580, 1275, 525, 2396, 13, 9651, 6773, 13, 13, 4706, 565, 9920, 1275, 525, 3137, 29915, 470, 9920, 1275, 525, 1761, 2396, 13, 9651, 1121, 29918, 1761, 580, 13, 9651, 6773, 13, 308, 13, 4706, 565, 9920, 1275, 525, 13322, 2396, 13, 9651, 2867, 13, 13, 4706, 620, 353, 337, 29889, 4352, 877, 1758, 29898, 1423, 3149, 29989, 1480, 29989, 9913, 2135, 11877, 29898, 518, 29900, 29899, 29929, 10062, 29989, 518, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 1800, 3124, 29879, 29394, 742, 9920, 29897, 13, 4706, 565, 620, 338, 451, 6213, 29901, 13, 9651, 8820, 353, 29871, 29900, 13, 9651, 270, 8149, 353, 5159, 13, 9651, 363, 286, 297, 337, 29889, 2886, 1524, 877, 3198, 3149, 29989, 1188, 29989, 12637, 2135, 742, 9920, 1125, 13, 18884, 1044, 353, 286, 29889, 2972, 29898, 29900, 29897, 13, 18884, 565, 1044, 1275, 525, 3198, 3149, 2396, 13, 462, 1678, 8820, 891, 29922, 29871, 29896, 13, 462, 1678, 6773, 13, 18884, 565, 1044, 1275, 525, 1188, 2396, 13, 462, 1678, 8820, 891, 29922, 29871, 29906, 13, 462, 1678, 6773, 13, 18884, 565, 1044, 1275, 525, 12637, 2135, 2396, 13, 462, 1678, 8820, 891, 29922, 29871, 29946, 13, 462, 1678, 6773, 13, 9651, 363, 286, 297, 337, 29889, 2886, 1524, 877, 518, 29900, 29899, 29929, 10062, 29989, 518, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 29913, 742, 9920, 1125, 13, 18884, 25349, 353, 286, 29889, 2972, 29898, 29900, 29897, 13, 18884, 1820, 29892, 659, 353, 679, 29918, 1989, 29918, 791, 29898, 29879, 333, 29889, 17010, 3285, 6611, 29897, 13, 18884, 565, 1820, 338, 6213, 29901, 13, 462, 1678, 6773, 13, 18884, 270, 8149, 29889, 4397, 29898, 1989, 29897, 13, 9651, 565, 8820, 1275, 29871, 29900, 29901, 13, 18884, 8820, 353, 29871, 29955, 13, 9651, 270, 8149, 353, 7442, 29889, 13092, 29898, 29881, 8149, 29897, 13, 9651, 565, 7431, 29898, 29881, 8149, 29897, 1275, 29871, 29900, 29901, 13, 18884, 1596, 877, 14510, 3078, 304, 5217, 1495, 13, 18884, 6773, 13, 9651, 1596, 877, 2772, 1026, 292, 278, 29912, 1157, 1157, 29913, 310, 278, 1494, 2582, 29901, 4286, 4830, 29898, 13, 18884, 525, 1423, 3149, 29915, 565, 8820, 669, 29871, 29896, 2804, 29871, 29900, 1683, 15516, 13, 18884, 525, 1480, 29915, 565, 8820, 669, 29871, 29906, 2804, 29871, 29900, 1683, 15516, 13, 18884, 525, 9913, 2135, 29915, 565, 8820, 669, 29871, 29946, 2804, 29871, 29900, 1683, 6629, 13, 632, 876, 13, 9651, 363, 1820, 297, 270, 8149, 29901, 13, 18884, 1596, 29898, 1989, 29897, 13, 9651, 274, 29895, 353, 1881, 877, 29961, 29891, 29914, 29940, 29962, 25710, 13, 9651, 565, 274, 29895, 29889, 21064, 580, 1275, 525, 29979, 2396, 13, 18884, 363, 1820, 297, 270, 8149, 29901, 13, 462, 1678, 659, 353, 2582, 29961, 1989, 29962, 13, 462, 1678, 565, 8820, 669, 29871, 29896, 2804, 29871, 29900, 322, 659, 29889, 3198, 3149, 338, 451, 6213, 29901, 13, 462, 4706, 1596, 877, 2772, 1026, 292, 742, 659, 29889, 3198, 3149, 29897, 13, 462, 4706, 528, 4422, 29889, 1758, 8336, 29898, 791, 29889, 3198, 3149, 29897, 13, 462, 4706, 659, 29889, 3198, 3149, 353, 6213, 13, 462, 1678, 565, 8820, 669, 29871, 29906, 2804, 29871, 29900, 322, 659, 29889, 1188, 338, 451, 6213, 29901, 13, 462, 4706, 565, 659, 29889, 3377, 338, 451, 6213, 29901, 13, 462, 9651, 1596, 877, 29907, 5409, 292, 278, 12489, 3377, 1889, 310, 1121, 6571, 4286, 4830, 29898, 1989, 876, 13, 462, 9651, 659, 29889, 3377, 29889, 18821, 403, 580, 13, 462, 9651, 659, 29889, 3377, 29889, 10685, 29898, 29896, 29900, 29897, 13, 462, 9651, 565, 659, 29889, 3377, 29889, 29886, 3028, 580, 338, 6213, 29901, 13, 462, 18884, 659, 29889, 3377, 29889, 21174, 580, 13, 462, 9651, 659, 29889, 3377, 353, 6213, 13, 462, 4706, 1596, 877, 2772, 1026, 292, 742, 659, 29889, 1188, 29897, 13, 462, 4706, 528, 4422, 29889, 1758, 8336, 29898, 791, 29889, 1188, 29897, 13, 462, 4706, 659, 29889, 1188, 353, 6213, 13, 462, 1678, 565, 8820, 669, 29871, 29946, 2804, 29871, 29900, 322, 659, 29889, 12637, 2135, 338, 451, 6213, 29901, 13, 462, 4706, 1596, 877, 2772, 1026, 292, 742, 659, 29889, 12637, 2135, 29897, 13, 462, 4706, 2897, 29889, 5992, 29898, 791, 29889, 12637, 2135, 29897, 13, 462, 4706, 659, 29889, 12637, 2135, 353, 6213, 13, 462, 1678, 565, 659, 29889, 3198, 3149, 338, 451, 6213, 29905, 13, 462, 308, 470, 659, 29889, 1188, 338, 451, 6213, 29905, 13, 462, 308, 470, 659, 29889, 12637, 2135, 338, 451, 6213, 29901, 13, 462, 4706, 2582, 29961, 1989, 29962, 353, 659, 13, 462, 1678, 1683, 29901, 13, 462, 4706, 2582, 29889, 7323, 29898, 1989, 29897, 13, 9651, 2254, 29918, 5325, 580, 13, 9651, 6773, 13, 13, 4706, 620, 353, 337, 29889, 4352, 877, 3377, 9310, 29900, 29899, 29929, 10062, 29989, 29961, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 11606, 29879, 29394, 742, 9920, 29897, 13, 4706, 565, 620, 338, 451, 6213, 29901, 13, 9651, 25349, 353, 620, 29889, 2972, 29898, 29896, 29897, 13, 9651, 1820, 29892, 659, 353, 679, 29918, 1989, 29918, 791, 29898, 29879, 333, 29892, 6611, 29897, 13, 9651, 565, 1820, 338, 6213, 29901, 13, 18884, 6773, 13, 9651, 565, 659, 29889, 3377, 338, 451, 6213, 29901, 13, 18884, 1596, 877, 3377, 310, 6571, 338, 2734, 4286, 4830, 29898, 1989, 876, 13, 18884, 6773, 13, 9651, 565, 659, 29889, 1188, 338, 6213, 29901, 13, 18884, 1596, 877, 1188, 310, 6571, 947, 451, 4864, 4286, 4830, 29898, 1989, 876, 13, 18884, 6773, 13, 9651, 1014, 29886, 353, 1014, 5014, 29889, 29925, 3150, 29898, 13, 18884, 6024, 20158, 3377, 742, 525, 489, 1188, 3972, 2433, 29974, 791, 29889, 1188, 29892, 525, 489, 5355, 29918, 497, 7464, 13, 18884, 6473, 353, 7700, 29892, 13, 18884, 27591, 353, 1014, 5014, 29889, 2287, 29963, 10074, 13, 9651, 1723, 13, 9651, 659, 29889, 3377, 353, 1014, 29886, 13, 9651, 2582, 29961, 1989, 29962, 353, 659, 13, 9651, 6773, 13, 13, 4706, 620, 353, 337, 29889, 4352, 877, 9847, 9310, 29900, 29899, 29929, 10062, 29989, 29961, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 11606, 29879, 29394, 742, 9920, 29897, 13, 4706, 565, 620, 338, 451, 6213, 29901, 13, 9651, 25349, 353, 620, 29889, 2972, 29898, 29896, 29897, 13, 9651, 1820, 29892, 659, 353, 679, 29918, 1989, 29918, 791, 29898, 29879, 333, 29892, 6611, 29897, 13, 9651, 565, 1820, 338, 6213, 29901, 13, 18884, 6773, 13, 9651, 565, 659, 29889, 3377, 338, 6213, 29901, 13, 18884, 1596, 877, 3377, 310, 6571, 338, 451, 2734, 4286, 4830, 29898, 1989, 876, 13, 18884, 6773, 13, 9651, 659, 29889, 3377, 29889, 18821, 403, 580, 13, 9651, 659, 29889, 3377, 29889, 10685, 580, 13, 9651, 659, 29889, 3377, 353, 6213, 13, 9651, 2582, 29961, 1989, 29962, 353, 659, 13, 9651, 6773, 13, 13, 4706, 620, 353, 337, 29889, 4352, 877, 4058, 9310, 29900, 29899, 29929, 10062, 29989, 29961, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 11606, 29879, 29394, 742, 9920, 29897, 13, 4706, 565, 620, 338, 451, 6213, 29901, 13, 9651, 25349, 353, 620, 29889, 2972, 29898, 29896, 29897, 13, 9651, 1820, 29892, 659, 353, 679, 29918, 1989, 29918, 791, 29898, 29879, 333, 29892, 6611, 29897, 13, 9651, 565, 1820, 338, 6213, 29901, 13, 18884, 6773, 13, 9651, 565, 659, 29889, 12637, 2135, 338, 451, 6213, 29901, 13, 18884, 1596, 877, 12637, 2135, 310, 6571, 756, 2307, 22856, 4286, 4830, 29898, 1989, 876, 13, 18884, 6773, 13, 9651, 1014, 29886, 353, 1014, 5014, 29889, 29925, 3150, 29898, 13, 18884, 525, 12637, 5316, 29894, 29888, 1121, 29899, 29912, 1836, 12637, 29889, 18828, 6571, 6571, 4286, 4830, 29898, 13, 462, 1678, 1820, 29892, 659, 29889, 3198, 3149, 470, 15516, 659, 29889, 1188, 470, 6629, 13, 18884, 10353, 13, 18884, 6473, 353, 5852, 13, 9651, 1723, 13, 9651, 1014, 29886, 29889, 10685, 580, 13, 9651, 659, 29889, 12637, 2135, 353, 525, 2914, 29899, 29912, 1836, 12637, 29889, 18828, 4286, 4830, 29898, 1989, 29897, 13, 9651, 2582, 29961, 1989, 29962, 353, 659, 13, 9651, 6773, 13, 13, 4706, 620, 353, 337, 29889, 4352, 877, 348, 4058, 9310, 29900, 29899, 29929, 10062, 29989, 29961, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 11606, 29879, 29394, 742, 9920, 29897, 13, 4706, 565, 620, 338, 451, 6213, 29901, 13, 9651, 25349, 353, 620, 29889, 2972, 29898, 29896, 29897, 13, 9651, 1820, 29892, 659, 353, 679, 29918, 1989, 29918, 791, 29898, 29879, 333, 29892, 6611, 29897, 13, 9651, 565, 1820, 338, 6213, 29901, 13, 18884, 6773, 13, 9651, 565, 659, 29889, 12637, 2135, 338, 6213, 29901, 13, 18884, 1596, 877, 12637, 2135, 310, 6571, 947, 451, 1863, 4286, 4830, 29898, 1989, 876, 13, 18884, 6773, 13, 9651, 1014, 29886, 353, 1014, 5014, 29889, 29925, 3150, 29898, 13, 18884, 525, 12637, 921, 29920, 29894, 29888, 6571, 4286, 4830, 29898, 791, 29889, 12637, 2135, 511, 13, 18884, 6473, 353, 5852, 13, 9651, 1723, 13, 9651, 1014, 29886, 29889, 10685, 580, 13, 9651, 2254, 29918, 5325, 580, 13, 9651, 6773, 13, 308, 13, 4706, 565, 9920, 2804, 525, 8477, 2396, 13, 9651, 1596, 877, 14148, 1899, 742, 9920, 29897, 13, 4706, 1596, 877, 4907, 27573, 29901, 13, 1678, 1371, 29901, 1510, 445, 2643, 13, 1678, 19375, 29901, 1051, 278, 4660, 310, 2582, 411, 3402, 320, 29915, 1367, 29901, 931, 756, 29918, 3198, 3149, 756, 29918, 1188, 756, 29918, 12637, 2135, 565, 29918, 20158, 3377, 29918, 21094, 20333, 13, 1678, 20241, 518, 3198, 3149, 29962, 518, 1188, 29962, 518, 12637, 2135, 29962, 1178, 29914, 2230, 29961, 1178, 29914, 2230, 29961, 2023, 5262, 29901, 3349, 278, 2582, 9904, 313, 8896, 1423, 4312, 29897, 13, 1678, 7613, 1178, 29914, 2230, 29901, 6222, 12489, 3377, 304, 7604, 675, 278, 1121, 6790, 13, 1678, 5040, 1178, 29914, 2230, 29901, 5040, 12489, 3377, 310, 393, 1121, 13, 1678, 4870, 1178, 29914, 2230, 29901, 4870, 278, 1121, 964, 9913, 8287, 13, 1678, 443, 4058, 1178, 29914, 2230, 29901, 443, 4058, 278, 9913, 8287, 310, 1121, 13, 1678, 6876, 29901, 6876, 12008, 13, 4706, 1723, 13, 632, 13, 308, 13, 2 ]
cpro/migrations/0003_auto_20160918_0506.py	FlockyChou/CinderellaProducers	0	60691	# -- coding: utf-8 -- from __future__ import unicode_literals from django.db import models, migrations import cpro.models class Migration(migrations.Migration): dependencies = [ ('cpro', '0002_auto_20160916_2110'), ] operations = [ migrations.AddField( model_name='card', name='_cache_event_image', field=models.ImageField(null=True, upload_to=cpro.models.uploadItem(b'e'), blank=True), preserve_default=True, ), migrations.AddField( model_name='card', name='_cache_event_last_update', field=models.DateTimeField(null=True), preserve_default=True, ), migrations.AddField( model_name='card', name='_cache_event_name', field=models.CharField(max_length=100, null=True), preserve_default=True, ), migrations.AddField( model_name='card', name='_cache_event_translated_name', field=models.CharField(max_length=100, null=True), preserve_default=True, ), migrations.AlterField( model_name='event', name='i_kind', field=models.PositiveIntegerField(default=0, verbose_name='Kind', choices=[(0, 'Token'), (1, 'Medley'), (2, 'Coop'), (3, 'Caravan')]), preserve_default=True, ), ]	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 3166, 9557, 29889, 2585, 1053, 4733, 29892, 9725, 800, 13, 5215, 274, 771, 29889, 9794, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 29883, 771, 742, 525, 29900, 29900, 29900, 29906, 29918, 6921, 29918, 29906, 29900, 29896, 29953, 29900, 29929, 29896, 29953, 29918, 29906, 29896, 29896, 29900, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 7543, 742, 13, 9651, 1024, 2433, 29918, 8173, 29918, 3696, 29918, 3027, 742, 13, 9651, 1746, 29922, 9794, 29889, 2940, 3073, 29898, 4304, 29922, 5574, 29892, 6441, 29918, 517, 29922, 29883, 771, 29889, 9794, 29889, 9009, 2001, 29898, 29890, 29915, 29872, 5477, 9654, 29922, 5574, 511, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 7543, 742, 13, 9651, 1024, 2433, 29918, 8173, 29918, 3696, 29918, 4230, 29918, 5504, 742, 13, 9651, 1746, 29922, 9794, 29889, 11384, 3073, 29898, 4304, 29922, 5574, 511, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 7543, 742, 13, 9651, 1024, 2433, 29918, 8173, 29918, 3696, 29918, 978, 742, 13, 9651, 1746, 29922, 9794, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29896, 29900, 29900, 29892, 1870, 29922, 5574, 511, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 7543, 742, 13, 9651, 1024, 2433, 29918, 8173, 29918, 3696, 29918, 3286, 29880, 630, 29918, 978, 742, 13, 9651, 1746, 29922, 9794, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29896, 29900, 29900, 29892, 1870, 29922, 5574, 511, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 3696, 742, 13, 9651, 1024, 2433, 29875, 29918, 14380, 742, 13, 9651, 1746, 29922, 9794, 29889, 9135, 3321, 7798, 3073, 29898, 4381, 29922, 29900, 29892, 26952, 29918, 978, 2433, 11885, 742, 19995, 11759, 29898, 29900, 29892, 525, 6066, 5477, 313, 29896, 29892, 525, 19302, 2330, 5477, 313, 29906, 29892, 525, 7967, 459, 5477, 313, 29941, 29892, 525, 8179, 29080, 1495, 11724, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
tests/cli_test.py	hall-lab/lah	0	181946	<reponame>hall-lab/lah import click, os, unittest from click.testing import CliRunner from lah.cli import cli as lah_cli @click.command() def the_test_cmd(): print("Hello World!") lah_cli.add_command(the_test_cmd, "test") class CliTest(unittest.TestCase): def test_lah(self): runner = CliRunner() result = runner.invoke(lah_cli, []) self.assertEqual(result.exit_code, 0) result = runner.invoke(lah_cli, ["-h"]) self.assertEqual(result.exit_code, 0) result = runner.invoke(lah_cli, ["--help"]) self.assertEqual(result.exit_code, 0) result = runner.invoke(lah_cli, ["test"]) self.assertEqual(result.exit_code, 0) self.assertEqual(result.output, "Hello World!\n") dbfile = os.path.join(os.path.dirname(__file__), "data", "dataset", "test.db") result = runner.invoke(lah_cli, ["test"]) #result = runner.invoke(lah_cli, ["-d", dbfile, "test"]) self.assertEqual(result.exit_code, 0) # -- CliTest if __name__ == '__main__': unittest.main(verbosity=2) #-- __main__	[ 1, 529, 276, 1112, 420, 29958, 27090, 29899, 8205, 29914, 8083, 13, 5215, 2828, 29892, 2897, 29892, 443, 27958, 13, 3166, 2828, 29889, 13424, 1053, 315, 492, 16802, 13, 13, 3166, 425, 29882, 29889, 11303, 1053, 9335, 408, 425, 29882, 29918, 11303, 13, 13, 29992, 3808, 29889, 6519, 580, 13, 1753, 278, 29918, 1688, 29918, 9006, 7295, 13, 1678, 1596, 703, 10994, 2787, 29991, 1159, 13, 8083, 29918, 11303, 29889, 1202, 29918, 6519, 29898, 1552, 29918, 1688, 29918, 9006, 29892, 376, 1688, 1159, 13, 13, 1990, 315, 492, 3057, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 1678, 822, 1243, 29918, 8083, 29898, 1311, 1125, 13, 4706, 28877, 353, 315, 492, 16802, 580, 13, 13, 4706, 1121, 353, 28877, 29889, 9772, 29898, 8083, 29918, 11303, 29892, 518, 2314, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2914, 29889, 13322, 29918, 401, 29892, 29871, 29900, 29897, 13, 13, 4706, 1121, 353, 28877, 29889, 9772, 29898, 8083, 29918, 11303, 29892, 6796, 29899, 29882, 20068, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2914, 29889, 13322, 29918, 401, 29892, 29871, 29900, 29897, 13, 13, 4706, 1121, 353, 28877, 29889, 9772, 29898, 8083, 29918, 11303, 29892, 6796, 489, 8477, 20068, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2914, 29889, 13322, 29918, 401, 29892, 29871, 29900, 29897, 13, 13, 4706, 1121, 353, 28877, 29889, 9772, 29898, 8083, 29918, 11303, 29892, 6796, 1688, 20068, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2914, 29889, 13322, 29918, 401, 29892, 29871, 29900, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2914, 29889, 4905, 29892, 376, 10994, 2787, 9903, 29876, 1159, 13, 13, 4706, 4833, 1445, 353, 2897, 29889, 2084, 29889, 7122, 29898, 359, 29889, 2084, 29889, 25721, 22168, 1445, 1649, 511, 376, 1272, 613, 376, 24713, 613, 376, 1688, 29889, 2585, 1159, 13, 4706, 1121, 353, 28877, 29889, 9772, 29898, 8083, 29918, 11303, 29892, 6796, 1688, 20068, 13, 4706, 396, 2914, 353, 28877, 29889, 9772, 29898, 8083, 29918, 11303, 29892, 6796, 29899, 29881, 613, 4833, 1445, 29892, 376, 1688, 20068, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2914, 29889, 13322, 29918, 401, 29892, 29871, 29900, 29897, 13, 13, 29937, 1192, 315, 492, 3057, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 443, 27958, 29889, 3396, 29898, 18248, 359, 537, 29922, 29906, 29897, 13, 13, 29937, 489, 4770, 3396, 1649, 13, 2 ]
flink-ai-flow/ai_flow/test/deployer/test_scheduler.py	MarvinMiao/flink-ai-extended	1	119145	<reponame>MarvinMiao/flink-ai-extended # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # import os import time import unittest import sys from ai_flow.rest_endpoint.service.client.aiflow_client import AIFlowClient import ai_flow as af from ai_flow.deployer.scheduler import EventScheduler from ai_flow.graph.edge import JobControlEdge, MetConfig, generate_job_status_key from ai_flow.graph.edge import TaskAction from ai_flow.meta.job_meta import State from ai_flow.plugins.local_cmd_job_plugin import LocalCMDJob from ai_flow.rest_endpoint.service.server import AIFlowServer from ai_flow.store.db.base_model import base from ai_flow.store.sqlalchemy_store import SqlAlchemyStore from ai_flow.test.rest_endpoint.test_client import _SQLITE_DB_FILE, _PORT, _SQLITE_DB_URI from ai_flow.workflow.job import BaseJob, BaseJobConfig from ai_flow.workflow.job_config import PeriodicConfig from ai_flow.workflow.job_context import JobContext from ai_flow.workflow.workflow import Workflow client: AIFlowClient = None class TestScheduler(unittest.TestCase): @classmethod def setUpClass(cls) -> None: if os.path.exists(_SQLITE_DB_FILE): os.remove(_SQLITE_DB_FILE) cls.server = AIFlowServer(store_uri=_SQLITE_DB_URI, port=_PORT) cls.sc_manager = cls.server.deploy_service.scheduler_manager cls.server.run() global client client = AIFlowClient(server_uri='localhost:' + _PORT) cls.ls_manager = cls.sc_manager.listener_manager @classmethod def tearDownClass(cls) -> None: client.stop_listen_event() store = SqlAlchemyStore(_SQLITE_DB_URI) base.metadata.drop_all(store.db_engine) os.remove(_SQLITE_DB_FILE) def tearDown(self) -> None: print('tearDown') store = SqlAlchemyStore(_SQLITE_DB_URI) base.metadata.drop_all(store.db_engine) base.metadata.create_all(store.db_engine) af.default_graph().clear_graph() res = client.list_job(page_size=10, offset=0) self.assertIsNone(res) @staticmethod def create_job(index, sleep_time=5) -> BaseJob: job: BaseJob = LocalCMDJob(exec_cmd='echo "hello {}\n" && sleep {}'.format(str(index), str(sleep_time))) job.job_context = JobContext() job.job_context.workflow_execution_id = 1 job.instance_id = str(index) + "_job" job.uuid = index job.job_name = job.instance_id return job @staticmethod def create_workflow() -> Workflow: workflow = Workflow() for i in range(3): job = TestScheduler.create_job(i, 1) workflow.add_job(job) deps = [] deps.append(JobControlEdge(target_node_id='0_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('0_job'), event_value=State.FINISHED.value))) deps.append(JobControlEdge(target_node_id='1_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('1_job'), event_value=State.FINISHED.value))) workflow.add_edges("2_job", deps) workflow.workflow_id = 1 return workflow @staticmethod def create_workflow_one_job() -> Workflow: workflow = Workflow() workflow.workflow_id = 1 job = TestScheduler.create_job(0, 1) workflow.add_job(job) return workflow @staticmethod def create_stream_workflow() -> Workflow: workflow = Workflow() for i in range(3): job = TestScheduler.create_job(i, 5) workflow.add_job(job) deps = [] deps.append(JobControlEdge(target_node_id='0_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('0_job'), event_value=State.FINISHED.value))) deps.append(JobControlEdge(target_node_id='1_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('1_job'), event_value=State.FINISHED.value))) workflow.add_edges("2_job", deps) workflow.workflow_id = 1 job = TestScheduler.create_job(3, 1) workflow.add_job(job) dep2 = [] dep2.append(JobControlEdge(target_node_id='0_job', source_node_id='3_job', met_config=MetConfig(event_key='key1', event_value='value1'))) workflow.add_edges('3_job', dep2) return workflow def test_stream_repeat_stream_job(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_stream_workflow() TestScheduler.sc_manager.schedule_workflow(workflow=workflow) client.publish_event(key='key1', value='value1') client.publish_event(key='key1', value='value1') TestScheduler.sc_manager.wait_finished(workflow.workflow_id) res = TestScheduler.sc_manager.get_schedule_result(workflow_id=workflow.workflow_id) self.assertEqual(0, res) res = client.list_job(page_size=10, offset=0) # self.assertEqual(5, len(res)) self.assertEqual(State.FINISHED, res[0].job_state) def test_event_scheduler(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_workflow() workflow.workflow_id = 1 event_scheduler = EventScheduler(client=client, listener_manager=TestScheduler.ls_manager, workflow=workflow) res = event_scheduler.schedule() self.assertEqual(0, res) def test_event_scheduler_one_job(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_workflow_one_job() workflow.workflow_id = 1 event_scheduler = EventScheduler(client=client, listener_manager=TestScheduler.ls_manager, workflow=workflow) res = event_scheduler.schedule() self.assertEqual(0, res) @staticmethod def create_periodic_job(index, sleep_time=1) -> BaseJob: job: BaseJob = LocalCMDJob(exec_cmd='echo "hello {}\n" && sleep {}'.format(str(index), str(sleep_time)), job_config=BaseJobConfig(platform="local", engine="cmd_line")) job.uuid = index job.job_name = job.instance_id job.job_config.periodic_config = PeriodicConfig(periodic_type='interval', args={'seconds': 5}) job.instance_id = str(index) + "_job" job.job_context = JobContext() job.job_context.workflow_execution_id = 1 return job @staticmethod def create_periodic_workflow() -> Workflow: workflow = Workflow() for i in range(3): job = TestScheduler.create_periodic_job(i, 1) if 2 == i: job.job_config.periodic_config = None workflow.add_job(job) deps = [] deps.append(JobControlEdge(target_node_id='0_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('0_job'), event_value=State.FINISHED.value))) deps.append(JobControlEdge(target_node_id='1_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('1_job'), event_value=State.FINISHED.value))) workflow.add_edges("2_job", deps) workflow.workflow_id = 1 return workflow def run_periodic_job(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_periodic_workflow() TestScheduler.sc_manager.schedule_workflow(workflow=workflow) time.sleep(13) TestScheduler.sc_manager.stop_schedule_workflow(workflow_id=workflow.workflow_id) res = client.list_job(page_size=10, offset=0) self.assertGreater(len(res), 3) self.assertEqual('2_job', res[2].job_id) self.assertEqual('2_job', res[5].job_id) def test_batch_periodic_job(self): self.run_periodic_job() @staticmethod def create_restart_job_workflow() -> Workflow: workflow = Workflow() for i in range(2): job = TestScheduler.create_periodic_job(i, 4) workflow.add_job(job) job = TestScheduler.create_periodic_job(2, 20) job.job_config.periodic_config = None workflow.add_job(job) deps = [] deps.append(JobControlEdge(target_node_id='0_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('0_job'), event_value=State.FINISHED.value, action=TaskAction.RESTART))) deps.append(JobControlEdge(target_node_id='1_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('1_job'), event_value=State.FINISHED.value, action=TaskAction.RESTART))) workflow.add_edges("2_job", deps) workflow.workflow_id = 1 return workflow def test_restart_job(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_restart_job_workflow() TestScheduler.sc_manager.schedule_workflow(workflow=workflow) time.sleep(20) TestScheduler.sc_manager.stop_schedule_workflow(workflow_id=workflow.workflow_id) res = client.list_job(page_size=10, offset=0) print(res) self.assertGreater(len(res), 3) def test_event_scheduler_manager(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_workflow() TestScheduler.sc_manager.schedule_workflow(workflow=workflow) TestScheduler.sc_manager.wait_finished(workflow.workflow_id) res = TestScheduler.sc_manager.get_schedule_result(workflow_id=workflow.workflow_id) self.assertEqual(0, res) res = client.list_job(page_size=5, offset=0) self.assertEqual(3, len(res)) self.assertEqual(State.FINISHED, res[0].job_state) @staticmethod def create_longrun_workflow() -> Workflow: workflow = Workflow() job_0 = TestScheduler.create_job(0, 10000) workflow.add_job(job_0) job_1 = TestScheduler.create_job(1, 1) workflow.add_job(job_1) deps = [] deps.append(JobControlEdge(target_node_id='1_job', source_node_id='0_job', met_config=MetConfig(event_key='key_1', event_value='value_1', event_type='stop', action=TaskAction.STOP))) workflow.add_edges("0_job", deps) workflow.workflow_id = 1 return workflow def test_stop_job(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_longrun_workflow() TestScheduler.sc_manager.schedule_workflow(workflow=workflow) client.publish_event('key_1', 'value_1', 'stop') TestScheduler.sc_manager.wait_finished(workflow.workflow_id) res = TestScheduler.sc_manager.get_schedule_result(workflow_id=workflow.workflow_id) self.assertEqual(0, res) if __name__ == '__main__': unittest.main()	[ 1, 529, 276, 1112, 420, 29958, 7083, 3845, 29924, 29653, 29914, 1579, 682, 29899, 1794, 29899, 1062, 2760, 13, 29937, 13, 29937, 10413, 21144, 304, 278, 13380, 18540, 10606, 313, 3289, 29943, 29897, 1090, 697, 13, 29937, 470, 901, 17737, 3406, 19405, 8571, 4110, 29889, 29871, 2823, 278, 6058, 12107, 934, 13, 29937, 13235, 411, 445, 664, 363, 5684, 2472, 13, 29937, 11211, 3509, 1266, 27428, 29889, 29871, 450, 3339, 29943, 7794, 11259, 445, 934, 13, 29937, 304, 366, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 13, 29937, 376, 29931, 293, 1947, 1496, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 13, 29937, 411, 278, 19245, 29889, 29871, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 259, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 13, 29937, 7047, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 13, 29937, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 13, 29937, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 29871, 2823, 278, 19245, 363, 278, 13, 29937, 2702, 4086, 14765, 1076, 11239, 322, 27028, 13, 29937, 1090, 278, 19245, 29889, 13, 29937, 13, 5215, 2897, 13, 5215, 931, 13, 5215, 443, 27958, 13, 5215, 10876, 13, 3166, 7468, 29918, 1731, 29889, 5060, 29918, 29734, 29889, 5509, 29889, 4645, 29889, 29874, 361, 677, 29918, 4645, 1053, 319, 6545, 677, 4032, 13, 13, 5215, 7468, 29918, 1731, 408, 2511, 13, 3166, 7468, 29918, 1731, 29889, 16519, 261, 29889, 816, 14952, 1053, 6864, 4504, 14952, 13, 3166, 7468, 29918, 1731, 29889, 4262, 29889, 12864, 1053, 17163, 4809, 23894, 29892, 4737, 3991, 29892, 5706, 29918, 9057, 29918, 4882, 29918, 1989, 13, 3166, 7468, 29918, 1731, 29889, 4262, 29889, 12864, 1053, 9330, 4276, 13, 3166, 7468, 29918, 1731, 29889, 7299, 29889, 9057, 29918, 7299, 1053, 4306, 13, 3166, 7468, 29918, 1731, 29889, 12800, 29889, 2997, 29918, 9006, 29918, 9057, 29918, 8582, 1053, 9959, 29907, 5773, 11947, 13, 3166, 7468, 29918, 1731, 29889, 5060, 29918, 29734, 29889, 5509, 29889, 2974, 1053, 319, 6545, 677, 6004, 13, 3166, 7468, 29918, 1731, 29889, 8899, 29889, 2585, 29889, 3188, 29918, 4299, 1053, 2967, 13, 3166, 7468, 29918, 1731, 29889, 8899, 29889, 2850, 284, 305, 6764, 29918, 8899, 1053, 13093, 2499, 305, 6764, 9044, 13, 3166, 7468, 29918, 1731, 29889, 1688, 29889, 5060, 29918, 29734, 29889, 1688, 29918, 4645, 1053, 903, 4176, 9094, 29918, 4051, 29918, 7724, 29892, 903, 15082, 29892, 903, 4176, 9094, 29918, 4051, 29918, 15551, 13, 3166, 7468, 29918, 1731, 29889, 1287, 1731, 29889, 9057, 1053, 7399, 11947, 29892, 7399, 11947, 3991, 13, 3166, 7468, 29918, 1731, 29889, 1287, 1731, 29889, 9057, 29918, 2917, 1053, 29498, 293, 3991, 13, 3166, 7468, 29918, 1731, 29889, 1287, 1731, 29889, 9057, 29918, 4703, 1053, 17163, 2677, 13, 3166, 7468, 29918, 1731, 29889, 1287, 1731, 29889, 1287, 1731, 1053, 5244, 1731, 13, 13, 4645, 29901, 319, 6545, 677, 4032, 353, 6213, 13, 13, 13, 1990, 4321, 4504, 14952, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 13, 1678, 732, 1990, 5696, 13, 1678, 822, 731, 3373, 2385, 29898, 25932, 29897, 1599, 6213, 29901, 13, 4706, 565, 2897, 29889, 2084, 29889, 9933, 7373, 4176, 9094, 29918, 4051, 29918, 7724, 1125, 13, 9651, 2897, 29889, 5992, 7373, 4176, 9094, 29918, 4051, 29918, 7724, 29897, 13, 4706, 1067, 29879, 29889, 2974, 353, 319, 6545, 677, 6004, 29898, 8899, 29918, 5338, 29922, 29918, 4176, 9094, 29918, 4051, 29918, 15551, 29892, 2011, 29922, 29918, 15082, 29897, 13, 4706, 1067, 29879, 29889, 1557, 29918, 12847, 353, 1067, 29879, 29889, 2974, 29889, 16519, 29918, 5509, 29889, 816, 14952, 29918, 12847, 13, 4706, 1067, 29879, 29889, 2974, 29889, 3389, 580, 13, 4706, 5534, 3132, 13, 4706, 3132, 353, 319, 6545, 677, 4032, 29898, 2974, 29918, 5338, 2433, 7640, 11283, 718, 903, 15082, 29897, 13, 4706, 1067, 29879, 29889, 3137, 29918, 12847, 353, 1067, 29879, 29889, 1557, 29918, 12847, 29889, 25894, 29918, 12847, 13, 13, 1678, 732, 1990, 5696, 13, 1678, 822, 734, 279, 6767, 2385, 29898, 25932, 29897, 1599, 6213, 29901, 13, 4706, 3132, 29889, 9847, 29918, 20631, 29918, 3696, 580, 13, 4706, 3787, 353, 13093, 2499, 305, 6764, 9044, 7373, 4176, 9094, 29918, 4051, 29918, 15551, 29897, 13, 4706, 2967, 29889, 19635, 29889, 8865, 29918, 497, 29898, 8899, 29889, 2585, 29918, 10599, 29897, 13, 4706, 2897, 29889, 5992, 7373, 4176, 9094, 29918, 4051, 29918, 7724, 29897, 13, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 29897, 1599, 6213, 29901, 13, 4706, 1596, 877, 371, 279, 6767, 1495, 13, 4706, 3787, 353, 13093, 2499, 305, 6764, 9044, 7373, 4176, 9094, 29918, 4051, 29918, 15551, 29897, 13, 4706, 2967, 29889, 19635, 29889, 8865, 29918, 497, 29898, 8899, 29889, 2585, 29918, 10599, 29897, 13, 4706, 2967, 29889, 19635, 29889, 3258, 29918, 497, 29898, 8899, 29889, 2585, 29918, 10599, 29897, 13, 4706, 2511, 29889, 4381, 29918, 4262, 2141, 8551, 29918, 4262, 580, 13, 4706, 620, 353, 3132, 29889, 1761, 29918, 9057, 29898, 3488, 29918, 2311, 29922, 29896, 29900, 29892, 9210, 29922, 29900, 29897, 13, 4706, 1583, 29889, 9294, 3624, 8516, 29898, 690, 29897, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 9057, 29898, 2248, 29892, 8709, 29918, 2230, 29922, 29945, 29897, 1599, 7399, 11947, 29901, 13, 4706, 4982, 29901, 7399, 11947, 353, 9959, 29907, 5773, 11947, 29898, 4258, 29918, 9006, 2433, 8057, 376, 12199, 426, 1012, 29876, 29908, 2607, 8709, 6571, 4286, 4830, 29898, 710, 29898, 2248, 511, 851, 29898, 17059, 29918, 2230, 4961, 13, 4706, 4982, 29889, 9057, 29918, 4703, 353, 17163, 2677, 580, 13, 4706, 4982, 29889, 9057, 29918, 4703, 29889, 1287, 1731, 29918, 22256, 29918, 333, 353, 29871, 29896, 13, 4706, 4982, 29889, 8758, 29918, 333, 353, 851, 29898, 2248, 29897, 718, 11119, 9057, 29908, 13, 4706, 4982, 29889, 25118, 353, 2380, 13, 4706, 4982, 29889, 9057, 29918, 978, 353, 4982, 29889, 8758, 29918, 333, 13, 4706, 736, 4982, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 1287, 1731, 580, 1599, 5244, 1731, 29901, 13, 4706, 27321, 353, 5244, 1731, 580, 13, 4706, 363, 474, 297, 3464, 29898, 29941, 1125, 13, 9651, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 9057, 29898, 29875, 29892, 29871, 29896, 29897, 13, 9651, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 4706, 316, 567, 353, 5159, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29900, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29900, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 4961, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29896, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29896, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 4961, 13, 4706, 27321, 29889, 1202, 29918, 287, 2710, 703, 29906, 29918, 9057, 613, 316, 567, 29897, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 736, 27321, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 1287, 1731, 29918, 650, 29918, 9057, 580, 1599, 5244, 1731, 29901, 13, 4706, 27321, 353, 5244, 1731, 580, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 9057, 29898, 29900, 29892, 29871, 29896, 29897, 13, 4706, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 4706, 736, 27321, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 5461, 29918, 1287, 1731, 580, 1599, 5244, 1731, 29901, 13, 4706, 27321, 353, 5244, 1731, 580, 13, 4706, 363, 474, 297, 3464, 29898, 29941, 1125, 13, 9651, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 9057, 29898, 29875, 29892, 29871, 29945, 29897, 13, 9651, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 4706, 316, 567, 353, 5159, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29900, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29900, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 4961, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29896, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29896, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 4961, 13, 4706, 27321, 29889, 1202, 29918, 287, 2710, 703, 29906, 29918, 9057, 613, 316, 567, 29897, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 13, 4706, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 9057, 29898, 29941, 29892, 29871, 29896, 29897, 13, 4706, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 4706, 1401, 29906, 353, 5159, 13, 4706, 1401, 29906, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29900, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29941, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 2433, 1989, 29896, 742, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 2433, 1767, 29896, 29915, 4961, 13, 4706, 27321, 29889, 1202, 29918, 287, 2710, 877, 29941, 29918, 9057, 742, 1401, 29906, 29897, 13, 13, 4706, 736, 27321, 13, 13, 1678, 822, 1243, 29918, 5461, 29918, 14358, 29918, 5461, 29918, 9057, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 5461, 29918, 1287, 1731, 580, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29922, 1287, 1731, 29897, 13, 4706, 3132, 29889, 23679, 29918, 3696, 29898, 1989, 2433, 1989, 29896, 742, 995, 2433, 1767, 29896, 1495, 13, 4706, 3132, 29889, 23679, 29918, 3696, 29898, 1989, 2433, 1989, 29896, 742, 995, 2433, 1767, 29896, 1495, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 10685, 29918, 4951, 3276, 29898, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 620, 353, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 657, 29918, 816, 11272, 29918, 2914, 29898, 1287, 1731, 29918, 333, 29922, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 29900, 29892, 620, 29897, 13, 4706, 620, 353, 3132, 29889, 1761, 29918, 9057, 29898, 3488, 29918, 2311, 29922, 29896, 29900, 29892, 9210, 29922, 29900, 29897, 13, 4706, 396, 1583, 29889, 9294, 9843, 29898, 29945, 29892, 7431, 29898, 690, 876, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29892, 620, 29961, 29900, 1822, 9057, 29918, 3859, 29897, 13, 13, 1678, 822, 1243, 29918, 3696, 29918, 816, 14952, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 1287, 1731, 580, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 1741, 29918, 816, 14952, 353, 6864, 4504, 14952, 29898, 4645, 29922, 4645, 29892, 13254, 29918, 12847, 29922, 3057, 4504, 14952, 29889, 3137, 29918, 12847, 29892, 27321, 29922, 1287, 1731, 29897, 13, 4706, 620, 353, 1741, 29918, 816, 14952, 29889, 816, 11272, 580, 13, 4706, 1583, 29889, 9294, 9843, 29898, 29900, 29892, 620, 29897, 13, 13, 1678, 822, 1243, 29918, 3696, 29918, 816, 14952, 29918, 650, 29918, 9057, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 1287, 1731, 29918, 650, 29918, 9057, 580, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 1741, 29918, 816, 14952, 353, 6864, 4504, 14952, 29898, 4645, 29922, 4645, 29892, 13254, 29918, 12847, 29922, 3057, 4504, 14952, 29889, 3137, 29918, 12847, 29892, 27321, 29922, 1287, 1731, 29897, 13, 4706, 620, 353, 1741, 29918, 816, 14952, 29889, 816, 11272, 580, 13, 4706, 1583, 29889, 9294, 9843, 29898, 29900, 29892, 620, 29897, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 19145, 293, 29918, 9057, 29898, 2248, 29892, 8709, 29918, 2230, 29922, 29896, 29897, 1599, 7399, 11947, 29901, 13, 4706, 4982, 29901, 7399, 11947, 353, 9959, 29907, 5773, 11947, 29898, 4258, 29918, 9006, 2433, 8057, 376, 12199, 426, 1012, 29876, 29908, 2607, 8709, 6571, 4286, 4830, 29898, 710, 29898, 2248, 511, 851, 29898, 17059, 29918, 2230, 8243, 13, 462, 462, 259, 4982, 29918, 2917, 29922, 5160, 11947, 3991, 29898, 12120, 543, 2997, 613, 6012, 543, 9006, 29918, 1220, 5783, 13, 4706, 4982, 29889, 25118, 353, 2380, 13, 4706, 4982, 29889, 9057, 29918, 978, 353, 4982, 29889, 8758, 29918, 333, 13, 4706, 4982, 29889, 9057, 29918, 2917, 29889, 19145, 293, 29918, 2917, 353, 29498, 293, 3991, 29898, 19145, 293, 29918, 1853, 2433, 19207, 742, 6389, 3790, 29915, 23128, 2396, 29871, 29945, 1800, 13, 4706, 4982, 29889, 8758, 29918, 333, 353, 851, 29898, 2248, 29897, 718, 11119, 9057, 29908, 13, 4706, 4982, 29889, 9057, 29918, 4703, 353, 17163, 2677, 580, 13, 4706, 4982, 29889, 9057, 29918, 4703, 29889, 1287, 1731, 29918, 22256, 29918, 333, 353, 29871, 29896, 13, 4706, 736, 4982, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 19145, 293, 29918, 1287, 1731, 580, 1599, 5244, 1731, 29901, 13, 4706, 27321, 353, 5244, 1731, 580, 13, 4706, 363, 474, 297, 3464, 29898, 29941, 1125, 13, 9651, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 19145, 293, 29918, 9057, 29898, 29875, 29892, 29871, 29896, 29897, 13, 9651, 565, 29871, 29906, 1275, 474, 29901, 13, 18884, 4982, 29889, 9057, 29918, 2917, 29889, 19145, 293, 29918, 2917, 353, 6213, 13, 9651, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 4706, 316, 567, 353, 5159, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29900, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29900, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 4961, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29896, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29896, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 4961, 13, 4706, 27321, 29889, 1202, 29918, 287, 2710, 703, 29906, 29918, 9057, 613, 316, 567, 29897, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 736, 27321, 13, 13, 1678, 822, 1065, 29918, 19145, 293, 29918, 9057, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 19145, 293, 29918, 1287, 1731, 580, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29922, 1287, 1731, 29897, 13, 4706, 931, 29889, 17059, 29898, 29896, 29941, 29897, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 9847, 29918, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29918, 333, 29922, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 620, 353, 3132, 29889, 1761, 29918, 9057, 29898, 3488, 29918, 2311, 29922, 29896, 29900, 29892, 9210, 29922, 29900, 29897, 13, 4706, 1583, 29889, 9294, 25120, 1008, 29898, 2435, 29898, 690, 511, 29871, 29941, 29897, 13, 4706, 1583, 29889, 9294, 9843, 877, 29906, 29918, 9057, 742, 620, 29961, 29906, 1822, 9057, 29918, 333, 29897, 13, 4706, 1583, 29889, 9294, 9843, 877, 29906, 29918, 9057, 742, 620, 29961, 29945, 1822, 9057, 29918, 333, 29897, 13, 13, 1678, 822, 1243, 29918, 16175, 29918, 19145, 293, 29918, 9057, 29898, 1311, 1125, 13, 4706, 1583, 29889, 3389, 29918, 19145, 293, 29918, 9057, 580, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 5060, 442, 29918, 9057, 29918, 1287, 1731, 580, 1599, 5244, 1731, 29901, 13, 4706, 27321, 353, 5244, 1731, 580, 13, 4706, 363, 474, 297, 3464, 29898, 29906, 1125, 13, 9651, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 19145, 293, 29918, 9057, 29898, 29875, 29892, 29871, 29946, 29897, 13, 9651, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 13, 4706, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 19145, 293, 29918, 9057, 29898, 29906, 29892, 29871, 29906, 29900, 29897, 13, 4706, 4982, 29889, 9057, 29918, 2917, 29889, 19145, 293, 29918, 2917, 353, 6213, 13, 4706, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 4706, 316, 567, 353, 5159, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29900, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29900, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 29892, 13, 462, 462, 462, 4706, 3158, 29922, 5398, 4276, 29889, 1525, 25826, 4961, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29896, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29896, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 29892, 13, 462, 462, 462, 4706, 3158, 29922, 5398, 4276, 29889, 1525, 25826, 4961, 13, 4706, 27321, 29889, 1202, 29918, 287, 2710, 703, 29906, 29918, 9057, 613, 316, 567, 29897, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 736, 27321, 13, 13, 1678, 822, 1243, 29918, 5060, 442, 29918, 9057, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 5060, 442, 29918, 9057, 29918, 1287, 1731, 580, 13, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29922, 1287, 1731, 29897, 13, 4706, 931, 29889, 17059, 29898, 29906, 29900, 29897, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 9847, 29918, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29918, 333, 29922, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 620, 353, 3132, 29889, 1761, 29918, 9057, 29898, 3488, 29918, 2311, 29922, 29896, 29900, 29892, 9210, 29922, 29900, 29897, 13, 4706, 1596, 29898, 690, 29897, 13, 4706, 1583, 29889, 9294, 25120, 1008, 29898, 2435, 29898, 690, 511, 29871, 29941, 29897, 13, 13, 1678, 822, 1243, 29918, 3696, 29918, 816, 14952, 29918, 12847, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 1287, 1731, 580, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29922, 1287, 1731, 29897, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 10685, 29918, 4951, 3276, 29898, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 620, 353, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 657, 29918, 816, 11272, 29918, 2914, 29898, 1287, 1731, 29918, 333, 29922, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 29900, 29892, 620, 29897, 13, 4706, 620, 353, 3132, 29889, 1761, 29918, 9057, 29898, 3488, 29918, 2311, 29922, 29945, 29892, 9210, 29922, 29900, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 29941, 29892, 7431, 29898, 690, 876, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29892, 620, 29961, 29900, 1822, 9057, 29918, 3859, 29897, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 5426, 3389, 29918, 1287, 1731, 580, 1599, 5244, 1731, 29901, 13, 4706, 27321, 353, 5244, 1731, 580, 13, 4706, 4982, 29918, 29900, 353, 4321, 4504, 14952, 29889, 3258, 29918, 9057, 29898, 29900, 29892, 29871, 29896, 29900, 29900, 29900, 29900, 29897, 13, 4706, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29918, 29900, 29897, 13, 4706, 4982, 29918, 29896, 353, 4321, 4504, 14952, 29889, 3258, 29918, 9057, 29898, 29896, 29892, 29871, 29896, 29897, 13, 4706, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29918, 29896, 29897, 13, 4706, 316, 567, 353, 5159, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29896, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29900, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 2433, 1989, 29918, 29896, 742, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 2433, 1767, 29918, 29896, 742, 13, 462, 462, 462, 4706, 1741, 29918, 1853, 2433, 9847, 742, 13, 462, 462, 462, 4706, 3158, 29922, 5398, 4276, 29889, 1254, 4590, 4961, 13, 13, 4706, 27321, 29889, 1202, 29918, 287, 2710, 703, 29900, 29918, 9057, 613, 316, 567, 29897, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 736, 27321, 13, 13, 1678, 822, 1243, 29918, 9847, 29918, 9057, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 5426, 3389, 29918, 1287, 1731, 580, 13, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29922, 1287, 1731, 29897, 13, 4706, 3132, 29889, 23679, 29918, 3696, 877, 1989, 29918, 29896, 742, 525, 1767, 29918, 29896, 742, 525, 9847, 1495, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 10685, 29918, 4951, 3276, 29898, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 620, 353, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 657, 29918, 816, 11272, 29918, 2914, 29898, 1287, 1731, 29918, 333, 29922, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 29900, 29892, 620, 29897, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 443, 27958, 29889, 3396, 580, 13, 2 ]
src/ostorlab/agent/message/proto/v3/asset/ip/v4/geolocation/geolocation_pb2.py	bbhunter/ostorlab	113	49896	# Generated by the protocol buffer compiler. DO NOT EDIT! # source: v3/asset/ip/v4/geolocation/geolocation.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() DESCRIPTOR = _descriptor.FileDescriptor( name='v3/asset/ip/v4/geolocation/geolocation.proto', package='v3.asset.ip.v4.geolocation', syntax='proto2', serialized_options=None, serialized_pb=_b('\n,v3/asset/ip/v4/geolocation/geolocation.proto\x12\x1av3.asset.ip.v4.geolocation\"\x94\x02\n\x07Message\x12\x0c\n\x04host\x18\x01 \x02(\t\x12\x0c\n\x04mask\x18\x02 \x01(\t\x12\x12\n\x07version\x18\x03 \x02(\x05:\x01\x34\x12\x11\n\tcontinent\x18\x05 \x01(\t\x12\x16\n\x0e\x63ontinent_code\x18\x06 \x01(\t\x12\x0f\n\x07\x63ountry\x18\x07 \x01(\t\x12\x14\n\x0c\x63ountry_code\x18\x08 \x01(\t\x12\x0e\n\x06region\x18\t \x01(\t\x12\x13\n\x0bregion_name\x18\n \x01(\t\x12\x0c\n\x04\x63ity\x18\x0b \x01(\t\x12\x0b\n\x03zip\x18\x0c \x01(\t\x12\x10\n\x08latitude\x18\r \x01(\x02\x12\x11\n\tlongitude\x18\x0e \x01(\x02\x12\x10\n\x08timezone\x18\x0f \x01(\t\x12\x10\n\x08\x64istrict\x18\x10 \x01(\t') ) _MESSAGE = _descriptor.Descriptor( name='Message', full_name='v3.asset.ip.v4.geolocation.Message', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='host', full_name='v3.asset.ip.v4.geolocation.Message.host', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='mask', full_name='v3.asset.ip.v4.geolocation.Message.mask', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='version', full_name='v3.asset.ip.v4.geolocation.Message.version', index=2, number=3, type=5, cpp_type=1, label=2, has_default_value=True, default_value=4, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='continent', full_name='v3.asset.ip.v4.geolocation.Message.continent', index=3, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='continent_code', full_name='v3.asset.ip.v4.geolocation.Message.continent_code', index=4, number=6, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='country', full_name='v3.asset.ip.v4.geolocation.Message.country', index=5, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='country_code', full_name='v3.asset.ip.v4.geolocation.Message.country_code', index=6, number=8, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='region', full_name='v3.asset.ip.v4.geolocation.Message.region', index=7, number=9, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='region_name', full_name='v3.asset.ip.v4.geolocation.Message.region_name', index=8, number=10, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='city', full_name='v3.asset.ip.v4.geolocation.Message.city', index=9, number=11, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='zip', full_name='v3.asset.ip.v4.geolocation.Message.zip', index=10, number=12, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='latitude', full_name='v3.asset.ip.v4.geolocation.Message.latitude', index=11, number=13, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='longitude', full_name='v3.asset.ip.v4.geolocation.Message.longitude', index=12, number=14, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='timezone', full_name='v3.asset.ip.v4.geolocation.Message.timezone', index=13, number=15, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='district', full_name='v3.asset.ip.v4.geolocation.Message.district', index=14, number=16, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=77, serialized_end=353, ) DESCRIPTOR.message_types_by_name['Message'] = _MESSAGE _sym_db.RegisterFileDescriptor(DESCRIPTOR) Message = _reflection.GeneratedProtocolMessageType('Message', (_message.Message,), dict( DESCRIPTOR = _MESSAGE, __module__ = 'v3.asset.ip.v4.geolocation.geolocation_pb2' # @@protoc_insertion_point(class_scope:v3.asset.ip.v4.geolocation.Message) )) _sym_db.RegisterMessage(Message) # @@protoc_insertion_point(module_scope)	[ 1, 396, 3251, 630, 491, 278, 9608, 6835, 6516, 29889, 29871, 11662, 6058, 11488, 29991, 13, 29937, 2752, 29901, 325, 29941, 29914, 24129, 29914, 666, 29914, 29894, 29946, 29914, 479, 324, 10610, 29914, 479, 324, 10610, 29889, 17529, 13, 13, 5215, 10876, 13, 29918, 29890, 29922, 9675, 29889, 3259, 29918, 3888, 29961, 29900, 29962, 29966, 29941, 322, 313, 2892, 921, 29901, 29916, 29897, 470, 313, 2892, 921, 29901, 29916, 29889, 12508, 877, 5066, 262, 29896, 8785, 13, 3166, 5386, 29889, 17529, 9721, 1053, 553, 11709, 408, 903, 2783, 11709, 13, 3166, 5386, 29889, 17529, 9721, 1053, 2643, 408, 903, 4906, 13, 3166, 5386, 29889, 17529, 9721, 1053, 17842, 408, 903, 999, 1464, 13, 3166, 5386, 29889, 17529, 9721, 1053, 5829, 29918, 9803, 408, 903, 18098, 29918, 9803, 13, 29937, 732, 29992, 17529, 29883, 29918, 7851, 291, 29918, 3149, 29898, 326, 4011, 29897, 13, 13, 29918, 11967, 29918, 2585, 353, 903, 18098, 29918, 9803, 29889, 4592, 580, 13, 13, 13, 13, 13, 2287, 7187, 24290, 1955, 353, 903, 2783, 11709, 29889, 2283, 19124, 29898, 13, 29871, 1024, 2433, 29894, 29941, 29914, 24129, 29914, 666, 29914, 29894, 29946, 29914, 479, 324, 10610, 29914, 479, 324, 10610, 29889, 17529, 742, 13, 29871, 3577, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 742, 13, 29871, 5877, 2433, 17529, 29906, 742, 13, 29871, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 13, 29871, 7797, 1891, 29918, 24381, 29922, 29918, 29890, 28909, 29876, 29892, 29894, 29941, 29914, 24129, 29914, 666, 29914, 29894, 29946, 29914, 479, 324, 10610, 29914, 479, 324, 10610, 29889, 17529, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 485, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 5931, 29905, 29916, 29929, 29946, 29905, 29916, 29900, 29906, 29905, 29876, 29905, 29916, 29900, 29955, 3728, 29905, 29916, 29896, 29906, 29905, 29916, 29900, 29883, 29905, 29876, 29905, 29916, 29900, 29946, 3069, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29896, 320, 29916, 29900, 29906, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29900, 29883, 29905, 29876, 29905, 29916, 29900, 29946, 13168, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29906, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29906, 29905, 29876, 29905, 29916, 29900, 29955, 3259, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29941, 320, 29916, 29900, 29906, 1194, 29916, 29900, 29945, 3583, 29916, 29900, 29896, 29905, 29916, 29941, 29946, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29896, 29905, 29876, 29905, 29873, 1285, 8946, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29945, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29953, 29905, 29876, 29905, 29916, 29900, 29872, 29905, 29916, 29953, 29941, 609, 8946, 29918, 401, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29953, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29900, 29888, 29905, 29876, 29905, 29916, 29900, 29955, 29905, 29916, 29953, 29941, 9729, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29955, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29946, 29905, 29876, 29905, 29916, 29900, 29883, 29905, 29916, 29953, 29941, 9729, 29918, 401, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29947, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29900, 29872, 29905, 29876, 29905, 29916, 29900, 29953, 12803, 29905, 29916, 29896, 29947, 29905, 29873, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29941, 29905, 29876, 29905, 29916, 29900, 1030, 29887, 291, 29918, 978, 29905, 29916, 29896, 29947, 29905, 29876, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29900, 29883, 29905, 29876, 29905, 29916, 29900, 29946, 29905, 29916, 29953, 29941, 537, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29890, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29900, 29890, 29905, 29876, 29905, 29916, 29900, 29941, 7554, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29883, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29900, 29905, 29876, 29905, 29916, 29900, 29947, 5066, 4279, 29905, 29916, 29896, 29947, 29905, 29878, 320, 29916, 29900, 29896, 1194, 29916, 29900, 29906, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29896, 29905, 29876, 29905, 29873, 5426, 4279, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29872, 320, 29916, 29900, 29896, 1194, 29916, 29900, 29906, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29900, 29905, 29876, 29905, 29916, 29900, 29947, 2230, 8028, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29888, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29900, 29905, 29876, 29905, 29916, 29900, 29947, 29905, 29916, 29953, 29946, 6801, 29905, 29916, 29896, 29947, 29905, 29916, 29896, 29900, 320, 29916, 29900, 29896, 1194, 29873, 1495, 13, 29897, 13, 13, 13, 13, 13, 29918, 2303, 1799, 10461, 353, 903, 2783, 11709, 29889, 19124, 29898, 13, 29871, 1024, 2433, 3728, 742, 13, 29871, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 742, 13, 29871, 10422, 29922, 8516, 29892, 13, 29871, 934, 29922, 2287, 7187, 24290, 1955, 29892, 13, 29871, 6943, 29918, 1853, 29922, 8516, 29892, 13, 29871, 4235, 11759, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 3069, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 3069, 742, 2380, 29922, 29900, 29892, 13, 418, 1353, 29922, 29896, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29906, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 13168, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 13168, 742, 2380, 29922, 29896, 29892, 13, 418, 1353, 29922, 29906, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 3259, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 3259, 742, 2380, 29922, 29906, 29892, 13, 418, 1353, 29922, 29941, 29892, 1134, 29922, 29945, 29892, 274, 407, 29918, 1853, 29922, 29896, 29892, 3858, 29922, 29906, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 5574, 29892, 2322, 29918, 1767, 29922, 29946, 29892, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 1285, 8946, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 1285, 8946, 742, 2380, 29922, 29941, 29892, 13, 418, 1353, 29922, 29945, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 1285, 8946, 29918, 401, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 1285, 8946, 29918, 401, 742, 2380, 29922, 29946, 29892, 13, 418, 1353, 29922, 29953, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 13509, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 13509, 742, 2380, 29922, 29945, 29892, 13, 418, 1353, 29922, 29955, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 13509, 29918, 401, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 13509, 29918, 401, 742, 2380, 29922, 29953, 29892, 13, 418, 1353, 29922, 29947, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 12803, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 12803, 742, 2380, 29922, 29955, 29892, 13, 418, 1353, 29922, 29929, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 12803, 29918, 978, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 12803, 29918, 978, 742, 2380, 29922, 29947, 29892, 13, 418, 1353, 29922, 29896, 29900, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 12690, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 12690, 742, 2380, 29922, 29929, 29892, 13, 418, 1353, 29922, 29896, 29896, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 7554, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 7554, 742, 2380, 29922, 29896, 29900, 29892, 13, 418, 1353, 29922, 29896, 29906, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 5066, 4279, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 5066, 4279, 742, 2380, 29922, 29896, 29896, 29892, 13, 418, 1353, 29922, 29896, 29941, 29892, 1134, 29922, 29906, 29892, 274, 407, 29918, 1853, 29922, 29953, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 7411, 29898, 29900, 511, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 5426, 4279, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 5426, 4279, 742, 2380, 29922, 29896, 29906, 29892, 13, 418, 1353, 29922, 29896, 29946, 29892, 1134, 29922, 29906, 29892, 274, 407, 29918, 1853, 29922, 29953, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 7411, 29898, 29900, 511, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 2230, 8028, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 2230, 8028, 742, 2380, 29922, 29896, 29941, 29892, 13, 418, 1353, 29922, 29896, 29945, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 29881, 6801, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 29881, 6801, 742, 2380, 29922, 29896, 29946, 29892, 13, 418, 1353, 29922, 29896, 29953, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 29871, 21251, 13, 29871, 17752, 11759, 13, 29871, 21251, 13, 29871, 9322, 29918, 8768, 11759, 1402, 13, 29871, 14115, 29918, 8768, 11759, 13, 29871, 21251, 13, 29871, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 13, 29871, 338, 29918, 21843, 519, 29922, 8824, 29892, 13, 29871, 5877, 2433, 17529, 29906, 742, 13, 29871, 6081, 29918, 29878, 6916, 11759, 1402, 13, 29871, 697, 974, 29879, 11759, 13, 29871, 21251, 13, 29871, 7797, 1891, 29918, 2962, 29922, 29955, 29955, 29892, 13, 29871, 7797, 1891, 29918, 355, 29922, 29941, 29945, 29941, 29892, 13, 29897, 13, 13, 2287, 7187, 24290, 1955, 29889, 4906, 29918, 8768, 29918, 1609, 29918, 978, 1839, 3728, 2033, 353, 903, 2303, 1799, 10461, 13, 29918, 11967, 29918, 2585, 29889, 15213, 2283, 19124, 29898, 2287, 7187, 24290, 1955, 29897, 13, 13, 3728, 353, 903, 999, 1464, 29889, 24565, 17830, 3728, 1542, 877, 3728, 742, 9423, 4906, 29889, 3728, 29892, 511, 9657, 29898, 13, 29871, 23050, 24290, 1955, 353, 903, 2303, 1799, 10461, 29892, 13, 29871, 4770, 5453, 1649, 353, 525, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 479, 324, 10610, 29918, 24381, 29906, 29915, 13, 29871, 396, 732, 29992, 17529, 29883, 29918, 7851, 291, 29918, 3149, 29898, 1990, 29918, 6078, 29901, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29897, 13, 259, 876, 13, 29918, 11967, 29918, 2585, 29889, 15213, 3728, 29898, 3728, 29897, 13, 13, 13, 29937, 732, 29992, 17529, 29883, 29918, 7851, 291, 29918, 3149, 29898, 5453, 29918, 6078, 29897, 13, 2 ]
processors/util/blockchain_state.py	Zvezdin/blockchain-predictor	35	1615568	import math from time import time as now from collections import deque #from sorted_value_dict import SortedValueDict SortedValueDict=dict #temp debug from processors.properties.property import Property class BlockchainState(Property): def __init__(self): super().__init__() self.requires = ['trace']#, 'tx', 'log'] self.requiresHistoricalData = True self.returnsData = False self._init_state() self._clear_state() def _init_state(self): self.recentLengthDays = 3 self.recentLength = self.recentLengthDays86400 # 3 days in seconds self.topXFraction = 0.000005 self.topUsedFraction = 0.000005 self.initialSupply = 72_000_000 1000000000000000000 #72M ETH in wei. The ETH created at genesis #total ETH in existence #we start at genesis and add every reward to the total supply self.totalETH = self.initialSupply #total amount of times where an account has been the initiator or receiver of an action self.totalTimesUsed = 0 #contract lookup self.isContract = {} #balance lookup self.balances = {} #amount of transactions this acc participates in self.timesUsed = {} #total accs self.totalAccountsAmount = 0 #recently active/created accounts. #We push to the front the most recent accounts and pop from the back the older ones #self.recentlyActive = deque() #self.isRecentlyActive = {} self.recentlyCreated = deque() self.isRecentlyCreated = {} #dicts to hold account timestamps. Used when calculating recently active/created self.dateCreated = {} #self.dateActive = {} #in order ETHRecentlyExchanged to be calculated, we'll keep a list of the past x hours, each element being #the amount of ETH exchanged within that hour. Then our variable will be the sum of that list self.ETHRecentlyExchangedList = [0] * self.recentLengthDays #clears everything that has to be cleared for every processTick call def _clear_state(self): #TOP IN BALANCE/USED GLOBAL/LOCAL CONTRACTS/ACCOUNTS LIST/MAP #IS TOP X FROM THE ACTIVE ACCOUNTS #THIS IS THE ONLY WAY #top x% lookup (list & map) self.isTopX = {} self.topX = [] #for contracts self.isContractTopX = {} self.contractTopX = [] #local top X lookup self.isLocalTopX = {} self.localTopX = [] #for contracts self.isContractLocalTopX = {} self.contractLocalTopX = [] #top x% in usage (list & map) self.isTopUsed = {} self.topUsed = [] #for contracts self.isContractTopUsed = {} self.contractTopUsed = [] #local top X in usage lookup self.isLocalTopUsed = {} self.localTopUsed = [] #for contracts self.isContractLocalTopUsed = {} self.contractLocalTopUsed = [] #local structures to achieve local top scores self.localBalances = SortedValueDict() self.localTotalETH = 0 self.localTimesUsed = SortedValueDict() self.localTotalTimesUsed = 0 #list of local accounts self.isLocalAccount = {} self.localAccounts = [] #list/map of local new accounts/contracts self.isAccountNew = {} self.newAccounts = [] self.isContractNew = {} self.newContracts = [] #address -> list of transactions/traces/logs self.localTransactionsOf = {} self.localTracesOf = {} self.localLogsOf = {} # tx hash -> true/undefined whether this transaction exists self.isTransaction = {} #block N -> bool self.isBlock = {} #address -> gas used total in this period self.gasUsedBy = {} #address -> amount and list of sent/received in this period self.amountSentBy = {} self.senders = [] self.amountReceivedBy = {} self.receivers = [] #active accs self.localAccountsAmount = 0 #amount of ETH that has been recently exchanged self.ETHRecentlyExchanged = 0 #time of last block self.lastTimestamp = 0 #TODO: Avg bal of just created accs (avg value of first tx to acc?) #TODO: when working with ETH, also have a USD version of the same property def processTick(self, data): t = now() self._clear_state() print("Clear state took %4fs" % (now() - t)) ethExchanged = 0 fromI = data['trace'].columns.get_loc('from')+1 if 'trace' in data: t = now() for trace in data['trace'].itertuples(): sender = getattr(trace, '_'+str(fromI)) receiver = trace.to sender = self.noneIfInf(sender) receiver = self.noneIfInf(receiver) value = int(trace.value, 0) gasUsed = self.noneIfInf(trace.gasUsed) if gasUsed is not None: gasUsed = int(trace.gasUsed, 0) timestamp = trace.Index.value // 10*9 #EPOCH time ethExchanged += value self.isTransaction[trace.transactionHash] = True self.isBlock[trace.blockNumber] = True if gasUsed is not None: self.gasUsedBy[sender] = self.gasUsedBy.get(sender, 0) + gasUsed if trace.type == 'create': assert(receiver not in self.isContract) self.isContract[receiver] = True self.isContractNew[receiver] = True self.newContracts.append(receiver) elif trace.type == 'reward': #rewards can be either block or uncle, each of which is increasing the total supply of Ethereum self.totalETH += value for acc in [sender, receiver]: if acc is None: continue if acc not in self.balances: self.totalAccountsAmount += 1 self.dateCreated[acc] = timestamp self.recentlyCreated.appendleft(acc) self.balances[acc] = 0 self.timesUsed[acc] = 0 self.isAccountNew[acc] = True self.newAccounts.append(acc) if acc == sender: currBal = self.balances[acc] self.balances[acc] = 0 if currBal < value else currBal - value #this case is possible because we don't have the genesis transfers #TODO: Get the genesis transfers from Etherscan's API or make a web scrape self.localTracesOf.setdefault(acc, []) self.localTracesOf[acc].append(trace) if acc not in self.amountSentBy: self.amountSentBy[acc] = 0 self.senders.append(acc) self.amountSentBy[acc] += value if acc == receiver: self.balances[receiver] += value if acc not in self.amountReceivedBy: self.amountReceivedBy[acc] = 0 self.receivers.append(acc) self.amountReceivedBy[acc] += value #update local accounts if acc not in self.isLocalAccount: self.isLocalAccount[acc] = True self.localAccounts.append(acc) #update usage info self.totalTimesUsed += 1 self.timesUsed[acc] += 1 self.localTimesUsed.setdefault(acc, 0) self.localTimesUsed[acc] += 1 #update active times #lastActive = self.dateActive.get(acc, 0) #assert(lastActive <= timestamp) #if lastActive < timestamp: # self.dateActive[acc] = timestamp # self.recentlyActive.push_left(acc) assert(self.lastTimestamp <= timestamp) self.lastTimestamp = timestamp print("Replaying traces took %4fs" % (now() - t)) if 'tx' in data: t = now() fromITX = data['tx'].columns.get_loc('from')+1 for tx in data['tx'].itertuples(): sender = self.noneIfInf(getattr(tx, '_'+str(fromITX))) if sender is not None: self.localTransactionsOf.setdefault(sender, []) self.localTransactionsOf[sender].append(tx) print("Iterating TXs took %4fs" % (now() - t)) if 'log' in data: t = now() for log in data['log'].itertuples(): adr = self.noneIfInf(log.address) if adr is not None: self.localLogsOf.setdefault(adr, []) self.localLogsOf[adr].append(log) print("Iterating logs took %4fs" % (now() - t)) t = now() self.localAccountsAmount = len(self.localAccounts) print("Getting recent records took %4fs" % (now() - t)) t = now() #update local balances for acc in self.localAccounts: val = self.balances[acc] self.localBalances[acc] = val self.localTotalETH += val #update top records #TODO: Hold the previous top records and remove the no-longer top records before proceeding #maybe by having a sorted dict and remove the last ones or just sort and remove? if self.isTop(self.balances[acc], self.topXFraction, self.totalETH): if self.isContract.get(acc, False): self.isContractTopX[acc] = True self.contractTopX.append(acc) else: self.isTopX[acc] = True self.topX.append(acc) if self.isTop(self.balances[acc], self.topXFraction, self.localTotalETH): if self.isContract.get(acc, False): self.isContractLocalTopX[acc] = True self.contractLocalTopX.append(acc) else: self.isLocalTopX[acc] = True self.localTopX.append(acc) if self.isTop(self.timesUsed[acc], self.topUsedFraction, self.totalTimesUsed): if self.isContract.get(acc, False): self.isContractTopUsed[acc] = True self.contractTopUsed.append(acc) else: self.isTopUsed[acc] = True self.topUsed.append(acc) if self.isTop(self.timesUsed[acc], self.topUsedFraction, self.localTotalTimesUsed): if self.isContract.get(acc, False): self.isContractLocalTopUsed[acc] = True self.contractLocalTopUsed.append(acc) else: self.isLocalTopUsed[acc] = True self.localTopUsed.append(acc) print("Local balance iteration took %4fs" % (now() - t)) t = now() #update recently created by removing the last part of accounts self.recentlyCreated = self.removeOldDequeRecords(self.recentlyCreated, self.lastTimestamp - self.recentLength, self.dateCreated) self.isRecentlyCreated = self.listToTrueDict(self.recentlyCreated) #updated recent ETH exchanged # remove the oldest tick and append the latest one self.ETHRecentlyExchangedList.pop() self.ETHRecentlyExchangedList.insert(0, ethExchanged) self.ETHRecentlyExchanged = sum(self.ETHRecentlyExchangedList) self.printDebug() print("Debug & recently exchanged took %4fs" % (now() - t)) def noneIfInf(self, a): if isinstance(a, float) and math.isnan(a): return None return a def removeOldDequeRecords(self, dq, minVal, valDict=None): #the dq should be ordered largest -> smallest values while dq: val = dq.pop() if valDict is not None: valCmp = valDict[val] else: valCmp = val if valCmp >= minVal: dq.append(val) return dq def getRecentRecords(self, dct, interval, currentTime=None): target = None if currentTime is not None: target = currentTime - interval res = [] prevVal = None for key in dct: val = dct[key] if currentTime is None: currentTime = val target = currentTime - interval res.append(key) assert(prevVal is None or val <= prevVal) prevVal = val if val < target: break return res def isTop(self, value, fraction, total): minTarget = total fraction return value >= minTarget def getTopRecords(self, dct, fraction, total, restrictorDict=None, inverseRestriction=False): #we should return all records with values higher than min target minTarget = total * fraction res = [] prevVal = None for key in dct: val = dct[key] if val >= minTarget and (restrictorDict is None or restrictorDict.get(key, False) is not inverseRestriction): res.append(key) else: break #assert(prevVal is None or val <= prevVal) prevVal = val return res def listToTrueDict(self, lst, dct=None): if dct is None: dct = {} for el in lst: dct[el] = True return dct def printDebug(self): print("Amount of topX: %d" % len(self.topX)) print("Amount of topX contracts: %d" % len(self.contractTopX)) print("Amount of local topX: %d" % len(self.localTopX)) print("Amount of local topX contracts: %d" % len(self.contractLocalTopX)) print("Amount of top used: %d" % len(self.topUsed)) print("Amount of contract top used: %d" % len(self.contractTopUsed)) print("Amount of local top used: %d" % len(self.localTopUsed)) print("Amount of contract local top used: %d" % len(self.contractLocalTopUsed)) print("ETH recently exchanged: %d" % self.ETHRecentlyExchanged) #print("Recently active accounts: %d" % len(self.recentlyActive)) print("Recently created accounts: %d" % len(self.recentlyCreated)) if self.localAccountsAmount > 0: print("Senders %d, with sent val of first being %d" % (len(self.senders), self.amountSentBy[self.senders[0]])) print("Receivers %d, with received val of first being %d" % (len(self.receivers), self.amountReceivedBy[self.receivers[0]])) acc = self.localAccounts[0] print("Local accounts %d, traces from first account %d, logs %d and TXs %d" % (len(self.localAccounts), len(self.localTracesOf.get(acc, [])), \ len(self.localLogsOf.get(acc, [])), len(self.localTransactionsOf.get(acc, [])) )) print("%d new accounts and %d new contracts" % (len(self.newAccounts), len(self.newContracts))) print("%d times locally used and %d total local balance" % (self.localTotalTimesUsed, self.localTotalETH)) print("%d total accounts, %d total times used and %d total ETH" % (self.totalAccountsAmount, self.totalTimesUsed, self.totalETH)) #singleton state = BlockchainState()	[ 1, 1053, 5844, 13, 13, 3166, 931, 1053, 931, 408, 1286, 13, 3166, 16250, 1053, 316, 802, 13, 13, 29937, 3166, 12705, 29918, 1767, 29918, 8977, 1053, 317, 18054, 1917, 21533, 13, 13685, 287, 1917, 21533, 29922, 8977, 396, 7382, 4744, 13, 13, 3166, 1889, 943, 29889, 11330, 29889, 6799, 1053, 9079, 13, 13, 1990, 15658, 14153, 2792, 29898, 4854, 1125, 13, 12, 1753, 4770, 2344, 12035, 1311, 1125, 13, 12, 12, 9136, 2141, 1649, 2344, 1649, 580, 13, 13, 12, 12, 1311, 29889, 276, 339, 2658, 353, 6024, 15003, 2033, 6552, 525, 7508, 742, 525, 1188, 2033, 13, 12, 12, 1311, 29889, 276, 339, 2658, 29950, 2118, 936, 1469, 29871, 353, 5852, 13, 13, 12, 12, 1311, 29889, 18280, 1469, 353, 7700, 13, 13, 12, 12, 1311, 3032, 2344, 29918, 3859, 580, 13, 12, 12, 1311, 3032, 8551, 29918, 3859, 580, 13, 13, 12, 1753, 903, 2344, 29918, 3859, 29898, 1311, 1125, 13, 12, 12, 1311, 29889, 276, 1760, 6513, 25991, 353, 29871, 29941, 13, 12, 12, 1311, 29889, 276, 1760, 6513, 353, 1583, 29889, 276, 1760, 6513, 25991, 29930, 29947, 29953, 29946, 29900, 29900, 396, 29871, 29941, 3841, 297, 6923, 13, 12, 12, 1311, 29889, 3332, 29990, 29943, 13857, 353, 29871, 29900, 29889, 29900, 29900, 29900, 29900, 29900, 29945, 13, 12, 12, 1311, 29889, 3332, 29965, 8485, 29943, 13857, 353, 29871, 29900, 29889, 29900, 29900, 29900, 29900, 29900, 29945, 13, 13, 12, 12, 1311, 29889, 11228, 20182, 368, 353, 29871, 29955, 29906, 29918, 29900, 29900, 29900, 29918, 29900, 29900, 29900, 334, 29871, 29896, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 396, 29955, 29906, 29924, 382, 4690, 297, 591, 29875, 29889, 450, 382, 4690, 2825, 472, 2531, 6656, 13, 13, 12, 12, 29937, 7827, 382, 4690, 297, 10379, 13, 12, 12, 29937, 705, 1369, 472, 2531, 6656, 322, 788, 1432, 20751, 304, 278, 3001, 11421, 13, 12, 12, 1311, 29889, 7827, 2544, 29950, 353, 1583, 29889, 11228, 20182, 368, 13, 13, 12, 12, 29937, 7827, 5253, 310, 3064, 988, 385, 3633, 756, 1063, 278, 14511, 1061, 470, 19870, 310, 385, 3158, 13, 12, 12, 1311, 29889, 7827, 29164, 29965, 8485, 353, 29871, 29900, 13, 13, 12, 12, 29937, 1285, 1461, 16280, 13, 12, 12, 1311, 29889, 275, 21263, 353, 6571, 13, 13, 12, 12, 29937, 5521, 749, 16280, 13, 12, 12, 1311, 29889, 5521, 2925, 353, 6571, 13, 13, 12, 12, 29937, 14506, 310, 22160, 445, 1035, 5221, 1078, 297, 13, 12, 12, 1311, 29889, 3706, 29965, 8485, 353, 6571, 13, 13, 12, 12, 29937, 7827, 1035, 29879, 13, 12, 12, 1311, 29889, 7827, 10601, 29879, 18087, 353, 29871, 29900, 13, 13, 12, 12, 29937, 276, 1760, 368, 6136, 29914, 11600, 15303, 29889, 13, 12, 12, 29937, 4806, 5503, 304, 278, 4565, 278, 1556, 7786, 15303, 322, 1835, 515, 278, 1250, 278, 9642, 6743, 13, 12, 12, 29937, 1311, 29889, 276, 1760, 368, 9966, 353, 316, 802, 580, 13, 12, 12, 29937, 1311, 29889, 275, 4789, 2705, 9966, 353, 6571, 13, 12, 12, 1311, 29889, 276, 1760, 368, 20399, 353, 316, 802, 580, 13, 12, 12, 1311, 29889, 275, 4789, 2705, 20399, 353, 6571, 13, 13, 12, 12, 29937, 8977, 29879, 304, 4808, 3633, 5335, 342, 15092, 29889, 501, 8485, 746, 25202, 10325, 6136, 29914, 11600, 13, 12, 12, 1311, 29889, 1256, 20399, 353, 6571, 13, 12, 12, 29937, 1311, 29889, 1256, 9966, 353, 6571, 13, 13, 12, 12, 29937, 262, 1797, 382, 4690, 4789, 2705, 1252, 15033, 304, 367, 12833, 29892, 591, 29915, 645, 3013, 263, 1051, 310, 278, 4940, 921, 6199, 29892, 1269, 1543, 1641, 13, 12, 12, 29937, 1552, 5253, 310, 382, 4690, 429, 15033, 2629, 393, 7234, 29889, 1987, 1749, 2286, 674, 367, 278, 2533, 310, 393, 1051, 13, 12, 12, 1311, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 1293, 353, 518, 29900, 29962, 334, 1583, 29889, 276, 1760, 6513, 25991, 13, 13, 13, 12, 29937, 2841, 1503, 4129, 393, 756, 304, 367, 24639, 363, 1432, 1889, 29911, 860, 1246, 13, 12, 1753, 903, 8551, 29918, 3859, 29898, 1311, 1125, 13, 12, 12, 29937, 29911, 4590, 2672, 350, 1964, 23219, 29914, 17171, 29928, 402, 28902, 1964, 29914, 16652, 1964, 8707, 29911, 4717, 1783, 29903, 29914, 2477, 3217, 3904, 9375, 365, 9047, 29914, 23827, 13, 13, 13, 12, 12, 29937, 3235, 323, 4590, 1060, 3895, 6093, 319, 1783, 18474, 14614, 3217, 3904, 9375, 13, 12, 12, 29937, 4690, 3235, 8519, 6093, 6732, 16786, 399, 29909, 29979, 13, 13, 12, 12, 29937, 3332, 921, 29995, 16280, 313, 1761, 669, 2910, 29897, 13, 12, 12, 1311, 29889, 275, 7031, 29990, 353, 6571, 13, 12, 12, 1311, 29889, 3332, 29990, 353, 5159, 13, 13, 12, 12, 29937, 1454, 8078, 29879, 13, 12, 12, 1311, 29889, 275, 21263, 7031, 29990, 353, 6571, 13, 12, 12, 1311, 29889, 1285, 1461, 7031, 29990, 353, 5159, 13, 13, 12, 12, 29937, 2997, 2246, 1060, 16280, 13, 12, 12, 1311, 29889, 275, 7717, 7031, 29990, 353, 6571, 13, 12, 12, 1311, 29889, 2997, 7031, 29990, 353, 5159, 13, 13, 12, 12, 29937, 1454, 8078, 29879, 13, 12, 12, 1311, 29889, 275, 21263, 7717, 7031, 29990, 353, 6571, 13, 12, 12, 1311, 29889, 1285, 1461, 7717, 7031, 29990, 353, 5159, 13, 12, 12, 13, 12, 12, 29937, 3332, 921, 29995, 297, 8744, 313, 1761, 669, 2910, 29897, 13, 12, 12, 1311, 29889, 275, 7031, 29965, 8485, 353, 6571, 13, 12, 12, 1311, 29889, 3332, 29965, 8485, 353, 5159, 13, 13, 12, 12, 29937, 1454, 8078, 29879, 13, 12, 12, 1311, 29889, 275, 21263, 7031, 29965, 8485, 353, 6571, 13, 12, 12, 1311, 29889, 1285, 1461, 7031, 29965, 8485, 353, 5159, 13, 13, 12, 12, 29937, 2997, 2246, 1060, 297, 8744, 16280, 13, 12, 12, 1311, 29889, 275, 7717, 7031, 29965, 8485, 353, 6571, 13, 12, 12, 1311, 29889, 2997, 7031, 29965, 8485, 353, 5159, 13, 13, 12, 12, 29937, 1454, 8078, 29879, 13, 12, 12, 1311, 29889, 275, 21263, 7717, 7031, 29965, 8485, 353, 6571, 13, 12, 12, 1311, 29889, 1285, 1461, 7717, 7031, 29965, 8485, 353, 5159, 13, 13, 12, 12, 29937, 2997, 12286, 304, 6176, 1887, 2246, 19435, 13, 12, 12, 1311, 29889, 2997, 22031, 2925, 353, 317, 18054, 1917, 21533, 580, 13, 12, 12, 1311, 29889, 2997, 11536, 2544, 29950, 353, 29871, 29900, 13, 12, 12, 1311, 29889, 2997, 29164, 29965, 8485, 353, 317, 18054, 1917, 21533, 580, 13, 12, 12, 1311, 29889, 2997, 11536, 29164, 29965, 8485, 353, 29871, 29900, 13, 13, 12, 12, 29937, 1761, 310, 1887, 15303, 13, 12, 12, 1311, 29889, 275, 7717, 10601, 353, 6571, 13, 12, 12, 1311, 29889, 2997, 10601, 29879, 353, 5159, 13, 13, 12, 12, 29937, 1761, 29914, 1958, 310, 1887, 716, 15303, 29914, 1285, 1461, 29879, 13, 12, 12, 1311, 29889, 275, 10601, 4373, 353, 6571, 13, 12, 12, 1311, 29889, 1482, 10601, 29879, 353, 5159, 13, 12, 12, 1311, 29889, 275, 21263, 4373, 353, 6571, 13, 12, 12, 1311, 29889, 1482, 21263, 29879, 353, 5159, 13, 13, 12, 12, 29937, 7328, 1599, 1051, 310, 22160, 29914, 3018, 778, 29914, 20756, 13, 12, 12, 1311, 29889, 2997, 4300, 7387, 2776, 353, 6571, 13, 12, 12, 1311, 29889, 2997, 5323, 778, 2776, 353, 6571, 13, 12, 12, 1311, 29889, 2997, 3403, 29879, 2776, 353, 6571, 13, 13, 12, 12, 29937, 25568, 6608, 1599, 1565, 29914, 15955, 3692, 445, 10804, 4864, 13, 12, 12, 1311, 29889, 275, 12460, 353, 6571, 13, 13, 12, 12, 29937, 1271, 405, 1599, 6120, 13, 12, 12, 1311, 29889, 275, 7445, 353, 6571, 13, 13, 12, 12, 29937, 7328, 1599, 10489, 1304, 3001, 297, 445, 3785, 13, 12, 12, 1311, 29889, 25496, 29965, 8485, 2059, 353, 6571, 13, 13, 12, 12, 29937, 7328, 1599, 5253, 322, 1051, 310, 2665, 29914, 13556, 2347, 297, 445, 3785, 13, 12, 12, 1311, 29889, 14506, 29903, 296, 2059, 353, 6571, 13, 12, 12, 1311, 29889, 6717, 414, 353, 5159, 13, 12, 12, 1311, 29889, 14506, 29816, 2059, 353, 6571, 13, 12, 12, 1311, 29889, 13556, 1536, 353, 5159, 13, 13, 12, 12, 29937, 4925, 1035, 29879, 13, 12, 12, 1311, 29889, 2997, 10601, 29879, 18087, 353, 29871, 29900, 13, 13, 12, 12, 29937, 14506, 310, 382, 4690, 393, 756, 1063, 10325, 429, 15033, 13, 12, 12, 1311, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 353, 29871, 29900, 13, 13, 12, 12, 29937, 2230, 310, 1833, 2908, 13, 12, 12, 1311, 29889, 4230, 27939, 353, 29871, 29900, 13, 13, 29937, 4986, 3970, 29901, 7740, 29887, 6411, 310, 925, 2825, 1035, 29879, 313, 485, 29887, 995, 310, 937, 25568, 304, 1035, 7897, 13, 29937, 4986, 3970, 29901, 746, 1985, 411, 382, 4690, 29892, 884, 505, 263, 3148, 29928, 1873, 310, 278, 1021, 2875, 13, 13, 12, 1753, 1889, 29911, 860, 29898, 1311, 29892, 848, 1125, 13, 12, 12, 29873, 353, 1286, 580, 13, 12, 12, 1311, 3032, 8551, 29918, 3859, 580, 13, 12, 12, 2158, 703, 18759, 2106, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 13, 12, 12, 621, 1252, 15033, 353, 29871, 29900, 13, 13, 12, 12, 3166, 29902, 353, 848, 1839, 15003, 13359, 13099, 29889, 657, 29918, 2029, 877, 3166, 1495, 29974, 29896, 13, 13, 12, 12, 361, 525, 15003, 29915, 297, 848, 29901, 13, 12, 12, 12, 29873, 353, 1286, 580, 13, 12, 12, 12, 1454, 9637, 297, 848, 1839, 15003, 13359, 277, 814, 29884, 2701, 7295, 13, 12, 12, 12, 12, 15452, 353, 679, 5552, 29898, 15003, 29892, 22868, 18717, 710, 29898, 3166, 29902, 876, 13, 12, 12, 12, 12, 13556, 2147, 353, 9637, 29889, 517, 13, 13, 12, 12, 12, 12, 15452, 353, 1583, 29889, 9290, 3644, 25433, 29898, 15452, 29897, 13, 12, 12, 12, 12, 13556, 2147, 353, 1583, 29889, 9290, 3644, 25433, 29898, 13556, 2147, 29897, 13, 13, 12, 12, 12, 12, 1767, 353, 938, 29898, 15003, 29889, 1767, 29892, 29871, 29900, 29897, 13, 13, 12, 12, 12, 12, 25496, 29965, 8485, 353, 1583, 29889, 9290, 3644, 25433, 29898, 15003, 29889, 25496, 29965, 8485, 29897, 13, 12, 12, 12, 12, 361, 10489, 29965, 8485, 338, 451, 6213, 29901, 13, 12, 12, 12, 12, 12, 25496, 29965, 8485, 353, 938, 29898, 15003, 29889, 25496, 29965, 8485, 29892, 29871, 29900, 29897, 13, 12, 12, 12, 12, 16394, 353, 9637, 29889, 3220, 29889, 1767, 849, 29871, 29896, 29900, 1068, 29929, 396, 29923, 13152, 3210, 931, 13, 13, 12, 12, 12, 12, 621, 1252, 15033, 4619, 995, 13, 13, 12, 12, 12, 12, 1311, 29889, 275, 12460, 29961, 15003, 29889, 20736, 10438, 29962, 353, 5852, 13, 12, 12, 12, 12, 1311, 29889, 275, 7445, 29961, 15003, 29889, 1271, 4557, 29962, 353, 5852, 13, 13, 12, 12, 12, 12, 361, 10489, 29965, 8485, 338, 451, 6213, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 25496, 29965, 8485, 2059, 29961, 15452, 29962, 353, 1583, 29889, 25496, 29965, 8485, 2059, 29889, 657, 29898, 15452, 29892, 29871, 29900, 29897, 718, 10489, 29965, 8485, 13, 13, 12, 12, 12, 12, 361, 9637, 29889, 1853, 1275, 525, 3258, 2396, 13, 12, 12, 12, 12, 12, 9294, 29898, 13556, 2147, 451, 297, 1583, 29889, 275, 21263, 29897, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 21263, 29961, 13556, 2147, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 21263, 4373, 29961, 13556, 2147, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 1482, 21263, 29879, 29889, 4397, 29898, 13556, 2147, 29897, 13, 12, 12, 12, 12, 23681, 9637, 29889, 1853, 1275, 525, 276, 1328, 2396, 13, 12, 12, 12, 12, 12, 29937, 276, 2935, 508, 367, 2845, 2908, 470, 22169, 29892, 1269, 310, 607, 338, 10231, 278, 3001, 11421, 310, 382, 12711, 398, 13, 12, 12, 12, 12, 12, 1311, 29889, 7827, 2544, 29950, 4619, 995, 13, 12, 12, 12, 12, 13, 12, 12, 12, 12, 1454, 1035, 297, 518, 15452, 29892, 19870, 5387, 13, 12, 12, 12, 12, 12, 361, 1035, 338, 6213, 29901, 13, 12, 12, 12, 12, 12, 12, 19878, 13, 13, 12, 12, 12, 12, 12, 361, 1035, 451, 297, 1583, 29889, 5521, 2925, 29901, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 7827, 10601, 29879, 18087, 4619, 29871, 29896, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 1256, 20399, 29961, 5753, 29962, 353, 14334, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 276, 1760, 368, 20399, 29889, 4397, 1563, 29898, 5753, 29897, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 5521, 2925, 29961, 5753, 29962, 353, 29871, 29900, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 3706, 29965, 8485, 29961, 5753, 29962, 353, 29871, 29900, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 275, 10601, 4373, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 1482, 10601, 29879, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 12, 361, 1035, 1275, 10004, 29901, 13, 12, 12, 12, 12, 12, 12, 21962, 22031, 353, 1583, 29889, 5521, 2925, 29961, 5753, 29962, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 5521, 2925, 29961, 5753, 29962, 353, 29871, 29900, 565, 16256, 22031, 529, 995, 1683, 16256, 22031, 448, 995, 13, 12, 12, 12, 12, 12, 12, 29937, 1366, 1206, 338, 1950, 1363, 591, 1016, 29915, 29873, 505, 278, 2531, 6656, 1301, 25534, 13, 12, 12, 12, 12, 12, 12, 29937, 4986, 3970, 29901, 3617, 278, 2531, 6656, 1301, 25534, 515, 382, 3341, 3068, 29915, 29879, 3450, 470, 1207, 263, 1856, 24559, 412, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 2997, 5323, 778, 2776, 29889, 842, 4381, 29898, 5753, 29892, 518, 2314, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 2997, 5323, 778, 2776, 29961, 5753, 1822, 4397, 29898, 15003, 29897, 13, 13, 12, 12, 12, 12, 12, 12, 361, 1035, 451, 297, 1583, 29889, 14506, 29903, 296, 2059, 29901, 13, 12, 12, 12, 12, 12, 12, 12, 1311, 29889, 14506, 29903, 296, 2059, 29961, 5753, 29962, 353, 29871, 29900, 13, 12, 12, 12, 12, 12, 12, 12, 1311, 29889, 6717, 414, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 14506, 29903, 296, 2059, 29961, 5753, 29962, 4619, 995, 13, 13, 12, 12, 12, 12, 12, 361, 1035, 1275, 19870, 29901, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 5521, 2925, 29961, 13556, 2147, 29962, 4619, 995, 13, 12, 12, 12, 12, 13, 12, 12, 12, 12, 12, 12, 361, 1035, 451, 297, 1583, 29889, 14506, 29816, 2059, 29901, 13, 12, 12, 12, 12, 12, 12, 12, 1311, 29889, 14506, 29816, 2059, 29961, 5753, 29962, 353, 29871, 29900, 13, 12, 12, 12, 12, 12, 12, 12, 1311, 29889, 13556, 1536, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 14506, 29816, 2059, 29961, 5753, 29962, 4619, 995, 13, 13, 12, 12, 12, 12, 12, 29937, 5504, 1887, 15303, 13, 12, 12, 12, 12, 12, 361, 1035, 451, 297, 1583, 29889, 275, 7717, 10601, 29901, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 275, 7717, 10601, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 2997, 10601, 29879, 29889, 4397, 29898, 5753, 29897, 13, 13, 12, 12, 12, 12, 12, 29937, 5504, 8744, 5235, 13, 12, 12, 12, 12, 12, 1311, 29889, 7827, 29164, 29965, 8485, 4619, 29871, 29896, 13, 12, 12, 12, 12, 12, 1311, 29889, 3706, 29965, 8485, 29961, 5753, 29962, 4619, 29871, 29896, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 29164, 29965, 8485, 29889, 842, 4381, 29898, 5753, 29892, 29871, 29900, 29897, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 29164, 29965, 8485, 29961, 5753, 29962, 4619, 29871, 29896, 13, 13, 12, 12, 12, 12, 12, 29937, 5504, 6136, 3064, 13, 12, 12, 12, 12, 12, 29937, 4230, 9966, 353, 1583, 29889, 1256, 9966, 29889, 657, 29898, 5753, 29892, 29871, 29900, 29897, 13, 12, 12, 12, 12, 12, 29937, 9294, 29898, 4230, 9966, 5277, 14334, 29897, 13, 12, 12, 12, 12, 12, 29937, 361, 1833, 9966, 529, 14334, 29901, 13, 12, 12, 12, 12, 12, 29937, 12, 1311, 29889, 1256, 9966, 29961, 5753, 29962, 353, 14334, 13, 12, 12, 12, 12, 12, 29937, 12, 1311, 29889, 276, 1760, 368, 9966, 29889, 5910, 29918, 1563, 29898, 5753, 29897, 13, 13, 12, 12, 12, 12, 12, 9294, 29898, 1311, 29889, 4230, 27939, 5277, 14334, 29897, 13, 12, 12, 12, 12, 12, 1311, 29889, 4230, 27939, 353, 14334, 13, 13, 12, 12, 12, 2158, 703, 1123, 1456, 292, 26695, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 13, 12, 12, 361, 525, 7508, 29915, 297, 848, 29901, 13, 12, 12, 12, 29873, 353, 1286, 580, 13, 12, 12, 12, 3166, 1806, 29990, 353, 848, 1839, 7508, 13359, 13099, 29889, 657, 29918, 2029, 877, 3166, 1495, 29974, 29896, 13, 12, 12, 12, 1454, 25568, 297, 848, 1839, 7508, 13359, 277, 814, 29884, 2701, 7295, 13, 12, 12, 12, 12, 15452, 353, 1583, 29889, 9290, 3644, 25433, 29898, 657, 5552, 29898, 7508, 29892, 22868, 18717, 710, 29898, 3166, 1806, 29990, 4961, 13, 13, 12, 12, 12, 12, 361, 10004, 338, 451, 6213, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 4300, 7387, 2776, 29889, 842, 4381, 29898, 15452, 29892, 518, 2314, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 4300, 7387, 2776, 29961, 15452, 1822, 4397, 29898, 7508, 29897, 13, 12, 12, 12, 2158, 703, 13463, 1218, 323, 29990, 29879, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 12, 12, 361, 525, 1188, 29915, 297, 848, 29901, 13, 12, 12, 12, 29873, 353, 1286, 580, 13, 12, 12, 12, 1454, 1480, 297, 848, 1839, 1188, 13359, 277, 814, 29884, 2701, 7295, 13, 12, 12, 12, 12, 7887, 353, 1583, 29889, 9290, 3644, 25433, 29898, 1188, 29889, 7328, 29897, 13, 13, 12, 12, 12, 12, 361, 594, 29878, 338, 451, 6213, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 3403, 29879, 2776, 29889, 842, 4381, 29898, 7887, 29892, 518, 2314, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 3403, 29879, 2776, 29961, 7887, 1822, 4397, 29898, 1188, 29897, 13, 12, 12, 12, 2158, 703, 13463, 1218, 10748, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 13, 12, 12, 29873, 353, 1286, 580, 13, 13, 12, 12, 1311, 29889, 2997, 10601, 29879, 18087, 353, 7431, 29898, 1311, 29889, 2997, 10601, 29879, 29897, 13, 12, 13, 12, 12, 2158, 703, 2577, 1259, 7786, 6475, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 12, 12, 29873, 353, 1286, 580, 13, 13, 12, 12, 29937, 5504, 1887, 6411, 2925, 13, 12, 12, 1454, 1035, 297, 1583, 29889, 2997, 10601, 29879, 29901, 13, 12, 12, 12, 791, 353, 1583, 29889, 5521, 2925, 29961, 5753, 29962, 13, 12, 12, 12, 1311, 29889, 2997, 22031, 2925, 29961, 5753, 29962, 353, 659, 13, 12, 12, 12, 1311, 29889, 2997, 11536, 2544, 29950, 4619, 659, 13, 13, 12, 12, 12, 29937, 5504, 2246, 6475, 13, 12, 12, 12, 29937, 4986, 3970, 29901, 21771, 278, 3517, 2246, 6475, 322, 3349, 278, 694, 29899, 5426, 261, 2246, 6475, 1434, 8469, 292, 13, 12, 12, 12, 29937, 26026, 491, 2534, 263, 12705, 9657, 322, 3349, 278, 1833, 6743, 470, 925, 2656, 322, 3349, 29973, 13, 12, 12, 12, 361, 1583, 29889, 275, 7031, 29898, 1311, 29889, 5521, 2925, 29961, 5753, 1402, 1583, 29889, 3332, 29990, 29943, 13857, 29892, 1583, 29889, 7827, 2544, 29950, 1125, 13, 12, 12, 12, 12, 361, 1583, 29889, 275, 21263, 29889, 657, 29898, 5753, 29892, 7700, 1125, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 21263, 7031, 29990, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 1285, 1461, 7031, 29990, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 2870, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 7031, 29990, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 3332, 29990, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 361, 1583, 29889, 275, 7031, 29898, 1311, 29889, 5521, 2925, 29961, 5753, 1402, 1583, 29889, 3332, 29990, 29943, 13857, 29892, 1583, 29889, 2997, 11536, 2544, 29950, 1125, 13, 12, 12, 12, 12, 361, 1583, 29889, 275, 21263, 29889, 657, 29898, 5753, 29892, 7700, 1125, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 21263, 7717, 7031, 29990, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 1285, 1461, 7717, 7031, 29990, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 2870, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 7717, 7031, 29990, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 7031, 29990, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 361, 1583, 29889, 275, 7031, 29898, 1311, 29889, 3706, 29965, 8485, 29961, 5753, 1402, 1583, 29889, 3332, 29965, 8485, 29943, 13857, 29892, 1583, 29889, 7827, 29164, 29965, 8485, 1125, 13, 12, 12, 12, 12, 361, 1583, 29889, 275, 21263, 29889, 657, 29898, 5753, 29892, 7700, 1125, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 21263, 7031, 29965, 8485, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 1285, 1461, 7031, 29965, 8485, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 2870, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 7031, 29965, 8485, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 3332, 29965, 8485, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 361, 1583, 29889, 275, 7031, 29898, 1311, 29889, 3706, 29965, 8485, 29961, 5753, 1402, 1583, 29889, 3332, 29965, 8485, 29943, 13857, 29892, 1583, 29889, 2997, 11536, 29164, 29965, 8485, 1125, 13, 12, 12, 12, 12, 361, 1583, 29889, 275, 21263, 29889, 657, 29898, 5753, 29892, 7700, 1125, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 21263, 7717, 7031, 29965, 8485, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 1285, 1461, 7717, 7031, 29965, 8485, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 2870, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 7717, 7031, 29965, 8485, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 7031, 29965, 8485, 29889, 4397, 29898, 5753, 29897, 13, 13, 12, 12, 2158, 703, 7717, 17346, 12541, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 13, 12, 12, 29873, 353, 1286, 580, 13, 13, 12, 12, 29937, 5504, 10325, 2825, 491, 11077, 278, 1833, 760, 310, 15303, 13, 12, 12, 1311, 29889, 276, 1760, 368, 20399, 353, 1583, 29889, 5992, 21648, 2772, 802, 4789, 4339, 29898, 1311, 29889, 276, 1760, 368, 20399, 29892, 1583, 29889, 4230, 27939, 448, 1583, 29889, 276, 1760, 6513, 29892, 1583, 29889, 1256, 20399, 29897, 13, 12, 12, 1311, 29889, 275, 4789, 2705, 20399, 353, 1583, 29889, 1761, 1762, 5574, 21533, 29898, 1311, 29889, 276, 1760, 368, 20399, 29897, 13, 13, 12, 12, 29937, 21402, 7786, 382, 4690, 429, 15033, 13, 12, 12, 29937, 3349, 278, 23947, 16892, 322, 9773, 278, 9281, 697, 13, 12, 12, 1311, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 1293, 29889, 7323, 580, 13, 12, 12, 1311, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 1293, 29889, 7851, 29898, 29900, 29892, 11314, 1252, 15033, 29897, 13, 12, 12, 1311, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 353, 2533, 29898, 1311, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 1293, 29897, 13, 13, 12, 12, 1311, 29889, 2158, 11862, 580, 13, 13, 12, 12, 2158, 703, 11862, 669, 10325, 429, 15033, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 13, 12, 1753, 5642, 3644, 25433, 29898, 1311, 29892, 263, 1125, 13, 12, 12, 361, 338, 8758, 29898, 29874, 29892, 5785, 29897, 322, 5844, 29889, 275, 13707, 29898, 29874, 1125, 13, 12, 12, 12, 2457, 6213, 13, 12, 12, 2457, 263, 13, 13, 12, 1753, 3349, 21648, 2772, 802, 4789, 4339, 29898, 1311, 29892, 270, 29939, 29892, 1375, 1440, 29892, 659, 21533, 29922, 8516, 1125, 13, 12, 12, 29937, 1552, 270, 29939, 881, 367, 10372, 10150, 1599, 19087, 1819, 13, 12, 12, 8000, 270, 29939, 29901, 13, 12, 12, 12, 791, 353, 270, 29939, 29889, 7323, 580, 13, 12, 12, 12, 361, 659, 21533, 338, 451, 6213, 29901, 13, 12, 12, 12, 12, 791, 29907, 1526, 353, 659, 21533, 29961, 791, 29962, 13, 12, 12, 12, 2870, 29901, 13, 12, 12, 12, 12, 791, 29907, 1526, 353, 659, 13, 13, 12, 12, 12, 361, 659, 29907, 1526, 6736, 1375, 1440, 29901, 13, 12, 12, 12, 12, 29881, 29939, 29889, 4397, 29898, 791, 29897, 13, 12, 12, 12, 12, 2457, 270, 29939, 13, 13, 12, 1753, 679, 4789, 296, 4789, 4339, 29898, 1311, 29892, 270, 312, 29892, 7292, 29892, 1857, 2481, 29922, 8516, 1125, 13, 12, 12, 5182, 353, 6213, 13, 12, 12, 361, 1857, 2481, 338, 451, 6213, 29901, 13, 12, 12, 12, 5182, 353, 1857, 2481, 448, 7292, 13, 13, 12, 12, 690, 353, 5159, 13, 12, 12, 16304, 1440, 353, 6213, 13, 12, 12, 1454, 1820, 297, 270, 312, 29901, 13, 12, 12, 12, 791, 353, 270, 312, 29961, 1989, 29962, 13, 12, 12, 12, 361, 1857, 2481, 338, 6213, 29901, 13, 12, 12, 12, 12, 3784, 2481, 353, 659, 13, 12, 12, 12, 12, 5182, 353, 1857, 2481, 448, 7292, 13, 13, 12, 12, 12, 690, 29889, 4397, 29898, 1989, 29897, 13, 13, 12, 12, 12, 9294, 29898, 16304, 1440, 338, 6213, 470, 659, 5277, 12379, 1440, 29897, 13, 13, 12, 12, 12, 16304, 1440, 353, 659, 13, 12, 12, 12, 361, 659, 529, 3646, 29901, 13, 12, 12, 12, 12, 8690, 13, 13, 12, 12, 2457, 620, 13, 13, 12, 1753, 338, 7031, 29898, 1311, 29892, 995, 29892, 15958, 29892, 3001, 1125, 13, 12, 12, 1195, 8667, 353, 3001, 334, 15958, 13, 13, 12, 12, 2457, 995, 6736, 1375, 8667, 13, 13, 12, 1753, 679, 7031, 4789, 4339, 29898, 1311, 29892, 270, 312, 29892, 15958, 29892, 3001, 29892, 9250, 272, 21533, 29922, 8516, 29892, 16402, 15078, 19902, 29922, 8824, 1125, 13, 12, 12, 29937, 705, 881, 736, 599, 6475, 411, 1819, 6133, 1135, 1375, 3646, 13, 12, 12, 1195, 8667, 353, 3001, 334, 15958, 13, 13, 12, 12, 690, 353, 5159, 13, 13, 12, 12, 16304, 1440, 353, 6213, 13, 12, 12, 1454, 1820, 297, 270, 312, 29901, 13, 12, 12, 12, 791, 353, 270, 312, 29961, 1989, 29962, 13, 13, 12, 12, 12, 361, 659, 6736, 1375, 8667, 322, 313, 5060, 4146, 272, 21533, 338, 6213, 470, 9250, 272, 21533, 29889, 657, 29898, 1989, 29892, 7700, 29897, 338, 451, 16402, 15078, 19902, 1125, 13, 12, 12, 12, 12, 690, 29889, 4397, 29898, 1989, 29897, 13, 12, 12, 12, 2870, 29901, 13, 12, 12, 12, 12, 8690, 13, 13, 12, 12, 12, 29937, 9294, 29898, 16304, 1440, 338, 6213, 470, 659, 5277, 12379, 1440, 29897, 13, 12, 12, 12, 16304, 1440, 353, 659, 13, 13, 12, 12, 2457, 620, 13, 13, 12, 1753, 1051, 1762, 5574, 21533, 29898, 1311, 29892, 24471, 29892, 270, 312, 29922, 8516, 1125, 13, 12, 12, 361, 270, 312, 338, 6213, 29901, 13, 12, 12, 12, 29881, 312, 353, 6571, 13, 13, 12, 12, 1454, 560, 297, 24471, 29901, 13, 12, 12, 12, 29881, 312, 29961, 295, 29962, 353, 5852, 13, 12, 12, 13, 12, 12, 2457, 270, 312, 13, 13, 12, 1753, 1596, 11862, 29898, 1311, 1125, 13, 12, 12, 2158, 703, 18087, 310, 2246, 29990, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 3332, 29990, 876, 13, 12, 12, 2158, 703, 18087, 310, 2246, 29990, 8078, 29879, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 1285, 1461, 7031, 29990, 876, 13, 12, 12, 2158, 703, 18087, 310, 1887, 2246, 29990, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 2997, 7031, 29990, 876, 13, 12, 12, 2158, 703, 18087, 310, 1887, 2246, 29990, 8078, 29879, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 1285, 1461, 7717, 7031, 29990, 876, 13, 12, 12, 2158, 703, 18087, 310, 2246, 1304, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 3332, 29965, 8485, 876, 13, 12, 12, 2158, 703, 18087, 310, 8078, 2246, 1304, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 1285, 1461, 7031, 29965, 8485, 876, 13, 12, 12, 2158, 703, 18087, 310, 1887, 2246, 1304, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 2997, 7031, 29965, 8485, 876, 13, 12, 12, 2158, 703, 18087, 310, 8078, 1887, 2246, 1304, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 1285, 1461, 7717, 7031, 29965, 8485, 876, 13, 12, 12, 2158, 703, 2544, 29950, 10325, 429, 15033, 29901, 1273, 29881, 29908, 1273, 1583, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 29897, 13, 12, 12, 29937, 2158, 703, 4789, 2705, 6136, 15303, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 276, 1760, 368, 9966, 876, 13, 12, 12, 2158, 703, 4789, 2705, 2825, 15303, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 276, 1760, 368, 20399, 876, 13, 13, 12, 12, 361, 1583, 29889, 2997, 10601, 29879, 18087, 1405, 29871, 29900, 29901, 13, 12, 12, 12, 2158, 703, 12600, 414, 1273, 29881, 29892, 411, 2665, 659, 310, 937, 1641, 1273, 29881, 29908, 1273, 313, 2435, 29898, 1311, 29889, 6717, 414, 511, 1583, 29889, 14506, 29903, 296, 2059, 29961, 1311, 29889, 6717, 414, 29961, 29900, 5262, 876, 13, 12, 12, 12, 2158, 703, 10380, 1536, 1273, 29881, 29892, 411, 4520, 659, 310, 937, 1641, 1273, 29881, 29908, 1273, 313, 2435, 29898, 1311, 29889, 13556, 1536, 511, 1583, 29889, 14506, 29816, 2059, 29961, 1311, 29889, 13556, 1536, 29961, 29900, 5262, 876, 13, 12, 12, 12, 5753, 353, 1583, 29889, 2997, 10601, 29879, 29961, 29900, 29962, 13, 12, 12, 12, 2158, 703, 7717, 15303, 1273, 29881, 29892, 26695, 515, 937, 3633, 1273, 29881, 29892, 10748, 1273, 29881, 322, 323, 29990, 29879, 1273, 29881, 29908, 1273, 313, 2435, 29898, 1311, 29889, 2997, 10601, 29879, 511, 7431, 29898, 1311, 29889, 2997, 5323, 778, 2776, 29889, 657, 29898, 5753, 29892, 518, 2314, 511, 320, 13, 12, 12, 12, 2435, 29898, 1311, 29889, 2997, 3403, 29879, 2776, 29889, 657, 29898, 5753, 29892, 518, 2314, 511, 7431, 29898, 1311, 29889, 2997, 4300, 7387, 2776, 29889, 657, 29898, 5753, 29892, 5159, 876, 29871, 876, 13, 12, 12, 2158, 11702, 29881, 716, 15303, 322, 1273, 29881, 716, 8078, 29879, 29908, 1273, 313, 2435, 29898, 1311, 29889, 1482, 10601, 29879, 511, 7431, 29898, 1311, 29889, 1482, 21263, 29879, 4961, 13, 12, 12, 2158, 11702, 29881, 3064, 12430, 1304, 322, 1273, 29881, 3001, 1887, 17346, 29908, 1273, 313, 1311, 29889, 2997, 11536, 29164, 29965, 8485, 29892, 1583, 29889, 2997, 11536, 2544, 29950, 876, 13, 12, 12, 2158, 11702, 29881, 3001, 15303, 29892, 1273, 29881, 3001, 3064, 1304, 322, 1273, 29881, 3001, 382, 4690, 29908, 1273, 313, 1311, 29889, 7827, 10601, 29879, 18087, 29892, 1583, 29889, 7827, 29164, 29965, 8485, 29892, 1583, 29889, 7827, 2544, 29950, 876, 13, 13, 29937, 2976, 11285, 13, 3859, 353, 15658, 14153, 2792, 580, 13, 2 ]
dbc_federated/applications/defect_detection_ddm2/Client_stage_2_modelling.py	DDLcdz1130/DBC-FederatedLearning-Client-VNX	0	159344	from torch.autograd import Variable from tqdm import tqdm from torchvision import datasets, models, transforms import torch import torch.nn as nn import torch.optim as optim from torch.optim import lr_scheduler import numpy as np import time import os import argparse import torchvision import copy import sys sys.path.append("../..") from utils.data_processing import get_data_transforms, load_data, feature_eval_prep from modules.learning import train_model, eval_model from modules.model_config import model_take_lower_layers ### This script is to complete the whole process of extracting features from a set of labeled image data. ## Loading the dataloaders -- Make sure that the data is saved in following way """ - data/ - class_1 folder/ - img1.png - img2.png - class_2 folder/ ..... - class_n folder/ """ parser = argparse.ArgumentParser(description='PyTorch inception Training') parser.add_argument('--img_dir', default='./train/', type=str, help='') parser.add_argument('--output_dir', default='./features/', type=str, help='') parser.add_argument('--restore', default=1, type=int, help='whether restore the stored model or not') parser.add_argument('--final_output', default=2, type=int, help='the number of the output of the final layer') parser.add_argument('--batch_size', default=1, type=int) parser.add_argument('--epochs', default=30, type=int) args = parser.parse_args() data_dir = args.img_dir restore=args.restore n_class=args.final_output batch_size=args.batch_size epochs=args.epochs output_dir=args.output_dir input_shape = 299 mean = [0.485, 0.456, 0.406] std = [0.229, 0.224, 0.225] scale = 299 input_shape = 299 use_parallel = True use_gpu = True print('lets start') data_transforms = get_data_transforms(mode="eval", model_origin="Inception V3", mean=None, std=None, scale=None, input_shape=299) print('data_transform ends') print(data_transforms) dataloaders, dataset_sizes, class_names, class_2_idx = load_data(data_dir, data_transforms, mode = 'eval', batch_size=batch_size, num_workers=1) print('load finished') # Get model if(restore): print('==> Resuming from checkpoint..') assert os.path.isdir('checkpoint'), 'Error: no checkpoint directory found!' model_conv=torch.load('checkpoint/ckpt_led.t7') model_conv=model_conv.module else: model_conv = torchvision.models.inception_v3(pretrained=True) # Take model with only first ? layers model_conv = model_take_lower_layers(model_conv, layer_number=3) if use_parallel and use_gpu: print("[Using all the available GPUs]") model_conv.cuda() model_conv = nn.DataParallel(model_conv, device_ids=[0, 1, 2, 3]) model_conv.cuda() # Set up feature extraction classes and folders idx_2_class=feature_eval_prep(class_2_idx, feat_path=output_dir) print(model_conv) eval_model(model_conv, dataloaders, dataset_sizes, use_gpu, batch_size, idx_2_class, feat_path=output_dir) # Then send feature data to the server	[ 1, 515, 4842, 305, 29889, 1300, 468, 3665, 1053, 28736, 13, 3166, 260, 29939, 18933, 1053, 260, 29939, 18933, 13, 3166, 4842, 305, 4924, 1053, 20035, 29892, 4733, 29892, 4327, 29879, 13, 5215, 4842, 305, 13, 5215, 4842, 305, 29889, 15755, 408, 302, 29876, 13, 5215, 4842, 305, 29889, 20640, 408, 5994, 13, 3166, 4842, 305, 29889, 20640, 1053, 301, 29878, 29918, 816, 14952, 13, 5215, 12655, 408, 7442, 13, 5215, 931, 13, 5215, 2897, 13, 5215, 1852, 5510, 13, 5215, 4842, 305, 4924, 13, 5215, 3509, 13, 5215, 10876, 13, 9675, 29889, 2084, 29889, 4397, 703, 6995, 636, 1159, 13, 3166, 3667, 29879, 29889, 1272, 29918, 19170, 1053, 679, 29918, 1272, 29918, 9067, 29879, 29892, 2254, 29918, 1272, 29892, 4682, 29918, 14513, 29918, 15287, 13, 3166, 10585, 29889, 21891, 1053, 7945, 29918, 4299, 29892, 19745, 29918, 4299, 13, 3166, 10585, 29889, 4299, 29918, 2917, 1053, 1904, 29918, 19730, 29918, 13609, 29918, 29277, 13, 13, 2277, 29937, 910, 2471, 338, 304, 4866, 278, 3353, 1889, 310, 6597, 292, 5680, 515, 263, 731, 310, 301, 24025, 1967, 848, 29889, 13, 2277, 4309, 9382, 278, 1418, 7003, 24574, 1192, 8561, 1854, 393, 278, 848, 338, 7160, 297, 1494, 982, 13, 15945, 29908, 13, 13, 29871, 448, 848, 29914, 13, 418, 448, 770, 29918, 29896, 4138, 29914, 13, 3986, 448, 10153, 29896, 29889, 2732, 13, 3986, 448, 10153, 29906, 29889, 2732, 13, 418, 448, 770, 29918, 29906, 4138, 29914, 13, 418, 6317, 856, 13, 418, 448, 770, 29918, 29876, 4138, 29914, 13, 259, 13, 15945, 29908, 13, 16680, 353, 1852, 5510, 29889, 15730, 11726, 29898, 8216, 2433, 19737, 29911, 25350, 297, 1441, 26101, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 2492, 29918, 3972, 742, 2322, 2433, 6904, 14968, 29914, 742, 1134, 29922, 710, 29892, 1371, 2433, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 4905, 29918, 3972, 742, 2322, 2433, 6904, 22100, 29914, 742, 1134, 29922, 710, 29892, 1371, 2433, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 5060, 487, 742, 2322, 29922, 29896, 29892, 1134, 29922, 524, 29892, 1371, 2433, 1332, 1979, 17749, 278, 6087, 1904, 470, 451, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 8394, 29918, 4905, 742, 2322, 29922, 29906, 29892, 1134, 29922, 524, 29892, 1371, 2433, 1552, 1353, 310, 278, 1962, 310, 278, 2186, 7546, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 16175, 29918, 2311, 742, 2322, 29922, 29896, 29892, 1134, 29922, 524, 29897, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 1022, 2878, 29879, 742, 2322, 29922, 29941, 29900, 29892, 1134, 29922, 524, 29897, 13, 13, 5085, 353, 13812, 29889, 5510, 29918, 5085, 580, 13, 1272, 29918, 3972, 353, 6389, 29889, 2492, 29918, 3972, 13, 5060, 487, 29922, 5085, 29889, 5060, 487, 13, 29876, 29918, 1990, 29922, 5085, 29889, 8394, 29918, 4905, 13, 16175, 29918, 2311, 29922, 5085, 29889, 16175, 29918, 2311, 13, 1022, 2878, 29879, 29922, 5085, 29889, 1022, 2878, 29879, 13, 4905, 29918, 3972, 29922, 5085, 29889, 4905, 29918, 3972, 13, 13, 2080, 29918, 12181, 353, 29871, 29906, 29929, 29929, 13, 12676, 353, 518, 29900, 29889, 29946, 29947, 29945, 29892, 29871, 29900, 29889, 29946, 29945, 29953, 29892, 29871, 29900, 29889, 29946, 29900, 29953, 29962, 13, 4172, 353, 518, 29900, 29889, 29906, 29906, 29929, 29892, 29871, 29900, 29889, 29906, 29906, 29946, 29892, 29871, 29900, 29889, 29906, 29906, 29945, 29962, 13, 7052, 353, 29871, 29906, 29929, 29929, 13, 2080, 29918, 12181, 353, 29871, 29906, 29929, 29929, 29871, 13, 1509, 29918, 23482, 353, 5852, 13, 1509, 29918, 29887, 3746, 353, 5852, 13, 13, 2158, 877, 10376, 1369, 1495, 13, 1272, 29918, 9067, 29879, 353, 679, 29918, 1272, 29918, 9067, 29879, 29898, 8513, 543, 14513, 613, 1904, 29918, 12574, 543, 797, 1441, 478, 29941, 613, 29871, 13, 462, 3986, 2099, 29922, 8516, 29892, 3659, 29922, 8516, 29892, 6287, 29922, 8516, 29892, 1881, 29918, 12181, 29922, 29906, 29929, 29929, 29897, 13, 2158, 877, 1272, 29918, 9067, 10614, 1495, 13, 2158, 29898, 1272, 29918, 9067, 29879, 29897, 13, 29881, 2075, 29877, 24574, 29892, 8783, 29918, 29879, 7093, 29892, 770, 29918, 7039, 29892, 770, 29918, 29906, 29918, 13140, 353, 2254, 29918, 1272, 29898, 1272, 29918, 3972, 29892, 848, 29918, 9067, 29879, 29892, 4464, 353, 525, 14513, 742, 9853, 29918, 2311, 29922, 16175, 29918, 2311, 29892, 954, 29918, 1287, 414, 29922, 29896, 29897, 13, 2158, 877, 1359, 7743, 1495, 13, 29937, 3617, 1904, 13, 13, 361, 29898, 5060, 487, 1125, 13, 1678, 1596, 877, 1360, 29958, 2538, 9929, 515, 1423, 3149, 636, 1495, 13, 1678, 4974, 2897, 29889, 2084, 29889, 275, 3972, 877, 3198, 3149, 5477, 525, 2392, 29901, 694, 1423, 3149, 3884, 1476, 20714, 13, 1678, 1904, 29918, 20580, 29922, 7345, 305, 29889, 1359, 877, 3198, 3149, 29914, 384, 415, 29918, 839, 29889, 29873, 29955, 1495, 13, 1678, 1904, 29918, 20580, 29922, 4299, 29918, 20580, 29889, 5453, 13, 2870, 29901, 13, 1678, 1904, 29918, 20580, 353, 4842, 305, 4924, 29889, 9794, 29889, 1239, 683, 29918, 29894, 29941, 29898, 1457, 3018, 1312, 29922, 5574, 29897, 13, 13, 29937, 11190, 1904, 411, 871, 937, 1577, 15359, 13, 4299, 29918, 20580, 353, 1904, 29918, 19730, 29918, 13609, 29918, 29277, 29898, 4299, 29918, 20580, 29892, 7546, 29918, 4537, 29922, 29941, 29897, 13, 13, 361, 671, 29918, 23482, 322, 671, 29918, 29887, 3746, 29901, 13, 1678, 1596, 703, 29961, 15156, 599, 278, 3625, 22796, 29879, 29962, 1159, 13, 1678, 1904, 29918, 20580, 29889, 29883, 6191, 580, 13, 1678, 1904, 29918, 20580, 353, 302, 29876, 29889, 1469, 2177, 6553, 29898, 4299, 29918, 20580, 29892, 4742, 29918, 4841, 11759, 29900, 29892, 29871, 29896, 29892, 29871, 29906, 29892, 29871, 29941, 2314, 13, 1678, 1904, 29918, 20580, 29889, 29883, 6191, 580, 13, 268, 13, 13, 29937, 3789, 701, 4682, 4805, 428, 4413, 322, 16495, 13, 13140, 29918, 29906, 29918, 1990, 29922, 14394, 29918, 14513, 29918, 15287, 29898, 1990, 29918, 29906, 29918, 13140, 29892, 1238, 271, 29918, 2084, 29922, 4905, 29918, 3972, 29897, 13, 2158, 29898, 4299, 29918, 20580, 29897, 13, 14513, 29918, 4299, 29898, 4299, 29918, 20580, 29892, 1418, 7003, 24574, 29892, 8783, 29918, 29879, 7093, 29892, 29871, 671, 29918, 29887, 3746, 29892, 9853, 29918, 2311, 29892, 29871, 13, 965, 22645, 29918, 29906, 29918, 1990, 29892, 1238, 271, 29918, 2084, 29922, 4905, 29918, 3972, 29897, 13, 13, 29937, 1987, 3638, 4682, 848, 304, 278, 1923, 13, 13, 2 ]
bender/evaluator/factory_method.py	otovo/bender	2	123762	from typing import Generic, TypeVar from bender.evaluator.interface import Evaluator EvaluableType = TypeVar('EvaluableType') class Evaluable(Generic[EvaluableType]): def evaluate(self, evaluators: list[Evaluator]) -> EvaluableType: raise NotImplementedError()	[ 1, 515, 19229, 1053, 3251, 293, 29892, 5167, 9037, 13, 13, 3166, 289, 1581, 29889, 24219, 1061, 29889, 13248, 1053, 382, 4387, 1061, 13, 13, 29923, 4387, 519, 1542, 353, 5167, 9037, 877, 29923, 4387, 519, 1542, 1495, 13, 13, 13, 1990, 382, 4387, 519, 29898, 15809, 29961, 29923, 4387, 519, 1542, 29962, 1125, 13, 1678, 822, 14707, 29898, 1311, 29892, 6161, 4097, 29901, 1051, 29961, 29923, 4387, 1061, 2314, 1599, 382, 4387, 519, 1542, 29901, 13, 4706, 12020, 2216, 1888, 2037, 287, 2392, 580, 13, 2 ]
Fairness_attack/data_utils.py	Ninarehm/attack	8	22929	from __future__ import division from __future__ import print_function from __future__ import absolute_import from __future__ import unicode_literals import json import numpy as np import scipy.sparse as sparse import defenses import upper_bounds class NumpyEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, np.ndarray): assert len(np.shape(obj)) == 1 # Can only handle 1D ndarrays return obj.tolist() elif isinstance(obj, np.floating): return float(obj) elif isinstance(obj, np.int16): return str(obj) else: return super(NumpyEncoder, self).default(obj) def get_class_map(): return {-1: 0, 1: 1} def get_centroids(X, Y, class_map): num_classes = len(set(Y)) num_features = X.shape[1] centroids = np.zeros((num_classes, num_features)) for y in set(Y): centroids[class_map[y], :] = np.mean(X[Y == y, :], axis=0) return centroids def get_centroid_vec(centroids): assert centroids.shape[0] == 2 centroid_vec = centroids[0, :] - centroids[1, :] centroid_vec /= np.linalg.norm(centroid_vec) centroid_vec = np.reshape(centroid_vec, (1, -1)) return centroid_vec # Can speed this up if necessary def get_sqrt_inv_cov(X, Y, class_map): num_classes = len(set(Y)) num_features = X.shape[1] sqrt_inv_covs = np.zeros((num_classes, num_features, num_features)) for y in set(Y): cov = np.cov(X[Y == y, :], rowvar=False) U_cov, S_cov, _ = np.linalg.svd(cov + 1e-6 * np.eye(num_features)) print(' min eigenvalue of cov after 1e-6 reg is %s' % np.min(S_cov)) sqrt_inv_covs[class_map[y], ...] = U_cov.dot(np.diag(1 / np.sqrt(S_cov)).dot(U_cov.T)) return sqrt_inv_covs # Can speed this up if necessary def get_data_params(X, Y, percentile): num_classes = len(set(Y)) num_features = X.shape[1] centroids = np.zeros((num_classes, num_features)) class_map = get_class_map() centroids = get_centroids(X, Y, class_map) # Get radii for sphere sphere_radii = np.zeros(2) dists = defenses.compute_dists_under_Q( X, Y, Q=None, centroids=centroids, class_map=class_map, norm=2) for y in set(Y): sphere_radii[class_map[y]] = np.percentile(dists[Y == y], percentile) # Get vector between centroids centroid_vec = get_centroid_vec(centroids) # Get radii for slab slab_radii = np.zeros(2) for y in set(Y): dists = np.abs( (X[Y == y, :].dot(centroid_vec.T) - centroids[class_map[y], :].dot(centroid_vec.T))) slab_radii[class_map[y]] = np.percentile(dists, percentile) return class_map, centroids, centroid_vec, sphere_radii, slab_radii def vstack(A, B): if (sparse.issparse(A) or sparse.issparse(B)): return sparse.vstack((A, B), format='csr') else: return np.concatenate((A, B), axis=0) def add_points(x, y, X, Y, num_copies=1): if num_copies == 0: return X, Y x = np.array(x).reshape(-1) if sparse.issparse(X): X_modified = sparse.vstack(( X, sparse.csr_matrix( np.tile(x, num_copies).reshape(-1, len(x))))) else: X_modified = np.append( X, np.tile(x, num_copies).reshape(-1, len(x)), axis=0) Y_modified = np.append(Y, np.tile(y, num_copies)) return X_modified, Y_modified def copy_random_points(X, Y, mask_to_choose_from=None, target_class=1, num_copies=1, random_seed=18, replace=False): # Only copy from points where mask_to_choose_from == True np.random.seed(random_seed) combined_mask = (np.array(Y, dtype=int) == target_class) if mask_to_choose_from is not None: combined_mask = combined_mask & mask_to_choose_from idx_to_copy = np.random.choice( np.where(combined_mask)[0], size=num_copies, replace=replace) if sparse.issparse(X): X_modified = sparse.vstack((X, X[idx_to_copy, :])) else: X_modified = np.append(X, X[idx_to_copy, :], axis=0) Y_modified = np.append(Y, Y[idx_to_copy]) return X_modified, Y_modified def threshold(X): return np.clip(X, 0, np.max(X)) def rround(X, random_seed=3, return_sparse=True): if sparse.issparse(X): X = X.toarray() X_frac, X_int = np.modf(X) X_round = X_int + (np.random.random_sample(X.shape) < X_frac) if return_sparse: return sparse.csr_matrix(X_round) else: return X_round def rround_with_repeats(X, Y, repeat_points, random_seed=3, return_sparse=True): X_round = rround(X, random_seed=random_seed, return_sparse=return_sparse) assert Y.shape[0] == X.shape[0] if repeat_points > 1: pos_idx = 0 neg_idx = 0 for i in range(X_round.shape[0]): if Y[i] == 1: if pos_idx % repeat_points == 0: last_pos_x = X_round[i, :] else: X_round[i, :] = last_pos_x pos_idx += 1 else: if neg_idx % repeat_points == 0: last_neg_x = X_round[i, :] else: X_round[i, :] = last_neg_x neg_idx += 1 return X_round def project_onto_sphere(X, Y, radii, centroids, class_map): for y in set(Y): idx = class_map[y] radius = radii[idx] centroid = centroids[idx, :] shifts_from_center = X[Y == y, :] - centroid dists_from_center = np.linalg.norm(shifts_from_center, axis=1) shifts_from_center[dists_from_center > radius, :] = radius / np.reshape(dists_from_center[dists_from_center > radius], (-1, 1)) X[Y == y, :] = shifts_from_center + centroid print("Number of (%s) points projected onto sphere: %s" % (y, np.sum(dists_from_center > radius))) return X def project_onto_slab(X, Y, v, radii, centroids, class_map): """ v^T x needs to be within radius of v^T centroid. v is 1 x d and normalized. """ v = np.reshape(v / np.linalg.norm(v), (1, -1)) for y in set(Y): idx = class_map[y] radius = radii[idx] centroid = centroids[idx, :] # If v^T x is too large, then dists_along_v is positive # If it's too small, then dists_along_v is negative dists_along_v = (X[Y == y, :] - centroid).dot(v.T) shifts_along_v = np.reshape( dists_along_v - np.clip(dists_along_v, -radius, radius), (1, -1)) X[Y == y, :] -= shifts_along_v.T.dot(v) print("Number of (%s) points projected onto slab: %s" % (y, np.sum(np.abs(dists_along_v) > radius))) return X def get_projection_fn( X_clean, Y_clean, sphere=True, slab=True, non_negative=False, less_than_one=False, use_lp_rounding=False, percentile=90): print(X_clean) goal = 'find_nearest_point' class_map, centroids, centroid_vec, sphere_radii, slab_radii = get_data_params(X_clean, Y_clean, percentile) if use_lp_rounding or non_negative or less_than_one or (sphere and slab): if use_lp_rounding: projector = upper_bounds.Minimizer( d=X_clean.shape[1], use_sphere=sphere, use_slab=slab, non_negative=non_negative, less_than_one=less_than_one, constrain_max_loss=False, goal=goal, X=X_clean ) projector = upper_bounds.Minimizer( d=X_clean.shape[1], use_sphere=sphere, use_slab=slab, non_negative=non_negative, less_than_one=less_than_one, constrain_max_loss=False, goal=goal, X=X_clean ) else: projector = upper_bounds.Minimizer( d=X_clean.shape[1], use_sphere=sphere, use_slab=slab, non_negative=non_negative, less_than_one=less_than_one, constrain_max_loss=False, goal=goal ) # Add back low-rank projection if we move back to just sphere+slab def project_onto_feasible_set( X, Y, theta=None, bias=None, ): num_examples = X.shape[0] proj_X = np.zeros_like(X) for idx in range(num_examples): x = X[idx, :] y = Y[idx] class_idx = class_map[y] centroid = centroids[class_idx, :] sphere_radius = sphere_radii[class_idx] slab_radius = slab_radii[class_idx] proj_X[idx, :] = projector.minimize_over_feasible_set( None, x, centroid, centroid_vec, sphere_radius, slab_radius) num_projected = np.sum(np.max(X - proj_X, axis=1) > 1e-6) print('Projected %s examples.' % num_projected) return proj_X else: def project_onto_feasible_set(X, Y, theta=None, bias=None): if sphere: X = project_onto_sphere(X, Y, sphere_radii, centroids, class_map) elif slab: X = project_onto_slab(X, Y, centroid_vec, slab_radii, centroids, class_map) return X return project_onto_feasible_set def filter_points_outside_feasible_set(X, Y, centroids, centroid_vec, sphere_radii, slab_radii, class_map): sphere_dists = defenses.compute_dists_under_Q( X, Y, Q=None, centroids=centroids, class_map=class_map) slab_dists = defenses.compute_dists_under_Q( X, Y, Q=centroid_vec, centroids=centroids, class_map=class_map) idx_to_keep = np.array([True] X.shape[0]) for y in set(Y): idx_to_keep[np.where(Y == y)[0][sphere_dists[Y == y] > sphere_radii[class_map[y]]]] = False idx_to_keep[np.where(Y == y)[0][slab_dists[Y == y] > slab_radii[class_map[y]]]] = False print(np.sum(idx_to_keep)) return X[idx_to_keep, :], Y[idx_to_keep]	[ 1, 515, 4770, 29888, 9130, 1649, 1053, 8542, 13, 3166, 4770, 29888, 9130, 1649, 1053, 1596, 29918, 2220, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 5215, 4390, 13, 5215, 12655, 408, 7442, 13, 5215, 4560, 2272, 29889, 29879, 5510, 408, 29234, 13, 13, 5215, 822, 11259, 13, 5215, 7568, 29918, 23687, 13, 13, 1990, 11848, 2272, 8566, 6119, 29898, 3126, 29889, 7249, 8566, 6119, 1125, 13, 1678, 822, 2322, 29898, 1311, 29892, 5446, 1125, 13, 4706, 565, 338, 8758, 29898, 5415, 29892, 7442, 29889, 299, 2378, 1125, 13, 9651, 4974, 7431, 29898, 9302, 29889, 12181, 29898, 5415, 876, 1275, 29871, 29896, 396, 1815, 871, 4386, 29871, 29896, 29928, 29871, 299, 2378, 29879, 13, 9651, 736, 5446, 29889, 25027, 391, 580, 13, 4706, 25342, 338, 8758, 29898, 5415, 29892, 7442, 29889, 29888, 417, 1218, 1125, 13, 9651, 736, 5785, 29898, 5415, 29897, 13, 4706, 25342, 338, 8758, 29898, 5415, 29892, 7442, 29889, 524, 29896, 29953, 1125, 13, 9651, 736, 851, 29898, 5415, 29897, 13, 4706, 1683, 29901, 13, 9651, 736, 2428, 29898, 8009, 2272, 8566, 6119, 29892, 1583, 467, 4381, 29898, 5415, 29897, 13, 13, 1753, 679, 29918, 1990, 29918, 1958, 7295, 13, 1678, 736, 21389, 29896, 29901, 29871, 29900, 29892, 29871, 29896, 29901, 29871, 29896, 29913, 13, 13, 1753, 679, 29918, 1760, 1007, 29879, 29898, 29990, 29892, 612, 29892, 770, 29918, 1958, 1125, 13, 1678, 954, 29918, 13203, 353, 7431, 29898, 842, 29898, 29979, 876, 13, 1678, 954, 29918, 22100, 353, 1060, 29889, 12181, 29961, 29896, 29962, 13, 1678, 1644, 1007, 29879, 353, 7442, 29889, 3298, 359, 3552, 1949, 29918, 13203, 29892, 954, 29918, 22100, 876, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 1644, 1007, 29879, 29961, 1990, 29918, 1958, 29961, 29891, 1402, 584, 29962, 353, 7442, 29889, 12676, 29898, 29990, 29961, 29979, 1275, 343, 29892, 584, 1402, 9685, 29922, 29900, 29897, 13, 1678, 736, 1644, 1007, 29879, 13, 13, 1753, 679, 29918, 1760, 1007, 29918, 2003, 29898, 1760, 1007, 29879, 1125, 13, 1678, 4974, 1644, 1007, 29879, 29889, 12181, 29961, 29900, 29962, 1275, 29871, 29906, 13, 1678, 1644, 1007, 29918, 2003, 353, 1644, 1007, 29879, 29961, 29900, 29892, 584, 29962, 448, 1644, 1007, 29879, 29961, 29896, 29892, 584, 29962, 13, 1678, 1644, 1007, 29918, 2003, 847, 29922, 7442, 29889, 29880, 979, 29887, 29889, 12324, 29898, 1760, 1007, 29918, 2003, 29897, 13, 1678, 1644, 1007, 29918, 2003, 353, 7442, 29889, 690, 14443, 29898, 1760, 1007, 29918, 2003, 29892, 313, 29896, 29892, 448, 29896, 876, 13, 1678, 736, 1644, 1007, 29918, 2003, 13, 13, 29937, 1815, 6210, 445, 701, 565, 5181, 13, 1753, 679, 29918, 3676, 29918, 11569, 29918, 24542, 29898, 29990, 29892, 612, 29892, 770, 29918, 1958, 1125, 13, 1678, 954, 29918, 13203, 353, 7431, 29898, 842, 29898, 29979, 876, 13, 1678, 954, 29918, 22100, 353, 1060, 29889, 12181, 29961, 29896, 29962, 13, 1678, 18074, 2273, 29918, 11569, 29918, 24542, 29879, 353, 7442, 29889, 3298, 359, 3552, 1949, 29918, 13203, 29892, 954, 29918, 22100, 29892, 954, 29918, 22100, 876, 13, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 18838, 353, 7442, 29889, 24542, 29898, 29990, 29961, 29979, 1275, 343, 29892, 584, 1402, 1948, 1707, 29922, 8824, 29897, 13, 4706, 501, 29918, 24542, 29892, 317, 29918, 24542, 29892, 903, 353, 7442, 29889, 29880, 979, 29887, 29889, 4501, 29881, 29898, 24542, 718, 29871, 29896, 29872, 29899, 29953, 334, 7442, 29889, 1032, 29872, 29898, 1949, 29918, 22100, 876, 13, 4706, 1596, 877, 1678, 1375, 7388, 1767, 310, 18838, 1156, 29871, 29896, 29872, 29899, 29953, 1072, 338, 1273, 29879, 29915, 1273, 7442, 29889, 1195, 29898, 29903, 29918, 24542, 876, 13, 4706, 18074, 2273, 29918, 11569, 29918, 24542, 29879, 29961, 1990, 29918, 1958, 29961, 29891, 1402, 2023, 29962, 353, 501, 29918, 24542, 29889, 6333, 29898, 9302, 29889, 6051, 351, 29898, 29896, 847, 7442, 29889, 3676, 29898, 29903, 29918, 24542, 8106, 6333, 29898, 29965, 29918, 24542, 29889, 29911, 876, 13, 13, 1678, 736, 18074, 2273, 29918, 11569, 29918, 24542, 29879, 13, 13, 29937, 1815, 6210, 445, 701, 565, 5181, 13, 1753, 679, 29918, 1272, 29918, 7529, 29898, 29990, 29892, 612, 29892, 10151, 488, 1125, 13, 1678, 954, 29918, 13203, 353, 7431, 29898, 842, 29898, 29979, 876, 13, 1678, 954, 29918, 22100, 353, 1060, 29889, 12181, 29961, 29896, 29962, 13, 1678, 1644, 1007, 29879, 353, 7442, 29889, 3298, 359, 3552, 1949, 29918, 13203, 29892, 954, 29918, 22100, 876, 13, 1678, 770, 29918, 1958, 353, 679, 29918, 1990, 29918, 1958, 580, 13, 1678, 1644, 1007, 29879, 353, 679, 29918, 1760, 1007, 29879, 29898, 29990, 29892, 612, 29892, 770, 29918, 1958, 29897, 13, 13, 1678, 396, 3617, 2971, 2236, 363, 20745, 13, 1678, 20745, 29918, 3665, 2236, 353, 7442, 29889, 3298, 359, 29898, 29906, 29897, 13, 1678, 1320, 29879, 353, 822, 11259, 29889, 26017, 29918, 29881, 2879, 29918, 5062, 29918, 29984, 29898, 13, 4706, 1060, 29892, 612, 29892, 13, 4706, 660, 29922, 8516, 29892, 13, 4706, 1644, 1007, 29879, 29922, 1760, 1007, 29879, 29892, 13, 4706, 770, 29918, 1958, 29922, 1990, 29918, 1958, 29892, 13, 4706, 6056, 29922, 29906, 29897, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 20745, 29918, 3665, 2236, 29961, 1990, 29918, 1958, 29961, 29891, 5262, 353, 7442, 29889, 25376, 488, 29898, 29881, 2879, 29961, 29979, 1275, 343, 1402, 10151, 488, 29897, 13, 13, 1678, 396, 3617, 4608, 1546, 1644, 1007, 29879, 13, 1678, 1644, 1007, 29918, 2003, 353, 679, 29918, 1760, 1007, 29918, 2003, 29898, 1760, 1007, 29879, 29897, 13, 13, 1678, 396, 3617, 2971, 2236, 363, 2243, 370, 13, 1678, 2243, 370, 29918, 3665, 2236, 353, 7442, 29889, 3298, 359, 29898, 29906, 29897, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 1320, 29879, 353, 7442, 29889, 6897, 29898, 13, 9651, 313, 29990, 29961, 29979, 1275, 343, 29892, 584, 1822, 6333, 29898, 1760, 1007, 29918, 2003, 29889, 29911, 29897, 448, 1644, 1007, 29879, 29961, 1990, 29918, 1958, 29961, 29891, 1402, 584, 1822, 6333, 29898, 1760, 1007, 29918, 2003, 29889, 29911, 4961, 13, 4706, 2243, 370, 29918, 3665, 2236, 29961, 1990, 29918, 1958, 29961, 29891, 5262, 353, 7442, 29889, 25376, 488, 29898, 29881, 2879, 29892, 10151, 488, 29897, 13, 13, 1678, 736, 770, 29918, 1958, 29892, 1644, 1007, 29879, 29892, 1644, 1007, 29918, 2003, 29892, 20745, 29918, 3665, 2236, 29892, 2243, 370, 29918, 3665, 2236, 13, 13, 13, 1753, 325, 1429, 29898, 29909, 29892, 350, 1125, 13, 1678, 565, 313, 29879, 5510, 29889, 790, 5510, 29898, 29909, 29897, 470, 29234, 29889, 790, 5510, 29898, 29933, 22164, 13, 4706, 736, 29234, 29889, 29894, 1429, 3552, 29909, 29892, 350, 511, 3402, 2433, 2395, 29878, 1495, 13, 1678, 1683, 29901, 13, 4706, 736, 7442, 29889, 535, 29883, 2579, 403, 3552, 29909, 29892, 350, 511, 9685, 29922, 29900, 29897, 13, 13, 13, 1753, 788, 29918, 9748, 29898, 29916, 29892, 343, 29892, 1060, 29892, 612, 29892, 954, 29918, 9708, 583, 29922, 29896, 1125, 13, 1678, 565, 954, 29918, 9708, 583, 1275, 29871, 29900, 29901, 13, 4706, 736, 1060, 29892, 612, 13, 1678, 921, 353, 7442, 29889, 2378, 29898, 29916, 467, 690, 14443, 6278, 29896, 29897, 13, 13, 1678, 565, 29234, 29889, 790, 5510, 29898, 29990, 1125, 13, 4706, 1060, 29918, 1545, 2164, 353, 29234, 29889, 29894, 1429, 3552, 13, 9651, 1060, 29892, 13, 9651, 29234, 29889, 2395, 29878, 29918, 5344, 29898, 13, 18884, 7442, 29889, 29873, 488, 29898, 29916, 29892, 954, 29918, 9708, 583, 467, 690, 14443, 6278, 29896, 29892, 7431, 29898, 29916, 876, 4961, 13, 1678, 1683, 29901, 13, 4706, 1060, 29918, 1545, 2164, 353, 7442, 29889, 4397, 29898, 13, 9651, 1060, 29892, 13, 9651, 7442, 29889, 29873, 488, 29898, 29916, 29892, 954, 29918, 9708, 583, 467, 690, 14443, 6278, 29896, 29892, 7431, 29898, 29916, 8243, 13, 9651, 9685, 29922, 29900, 29897, 13, 1678, 612, 29918, 1545, 2164, 353, 7442, 29889, 4397, 29898, 29979, 29892, 7442, 29889, 29873, 488, 29898, 29891, 29892, 954, 29918, 9708, 583, 876, 13, 1678, 736, 1060, 29918, 1545, 2164, 29892, 612, 29918, 1545, 2164, 13, 13, 13, 1753, 3509, 29918, 8172, 29918, 9748, 29898, 29990, 29892, 612, 29892, 11105, 29918, 517, 29918, 21803, 29918, 3166, 29922, 8516, 29892, 3646, 29918, 1990, 29922, 29896, 29892, 954, 29918, 9708, 583, 29922, 29896, 29892, 13, 462, 539, 4036, 29918, 26776, 29922, 29896, 29947, 29892, 5191, 29922, 8824, 1125, 13, 1678, 396, 9333, 3509, 515, 3291, 988, 11105, 29918, 517, 29918, 21803, 29918, 3166, 1275, 5852, 13, 13, 1678, 7442, 29889, 8172, 29889, 26776, 29898, 8172, 29918, 26776, 29897, 13, 1678, 12420, 29918, 13168, 353, 313, 9302, 29889, 2378, 29898, 29979, 29892, 26688, 29922, 524, 29897, 1275, 3646, 29918, 1990, 29897, 13, 1678, 565, 11105, 29918, 517, 29918, 21803, 29918, 3166, 338, 451, 6213, 29901, 13, 4706, 12420, 29918, 13168, 353, 12420, 29918, 13168, 669, 11105, 29918, 517, 29918, 21803, 29918, 3166, 13, 13, 1678, 22645, 29918, 517, 29918, 8552, 353, 7442, 29889, 8172, 29889, 16957, 29898, 13, 4706, 7442, 29889, 3062, 29898, 17743, 1312, 29918, 13168, 9601, 29900, 1402, 13, 4706, 2159, 29922, 1949, 29918, 9708, 583, 29892, 13, 4706, 5191, 29922, 6506, 29897, 13, 13, 1678, 565, 29234, 29889, 790, 5510, 29898, 29990, 1125, 13, 4706, 1060, 29918, 1545, 2164, 353, 29234, 29889, 29894, 1429, 3552, 29990, 29892, 1060, 29961, 13140, 29918, 517, 29918, 8552, 29892, 584, 12622, 13, 1678, 1683, 29901, 13, 4706, 1060, 29918, 1545, 2164, 353, 7442, 29889, 4397, 29898, 29990, 29892, 1060, 29961, 13140, 29918, 517, 29918, 8552, 29892, 584, 1402, 9685, 29922, 29900, 29897, 13, 1678, 612, 29918, 1545, 2164, 353, 7442, 29889, 4397, 29898, 29979, 29892, 612, 29961, 13140, 29918, 517, 29918, 8552, 2314, 13, 1678, 736, 1060, 29918, 1545, 2164, 29892, 612, 29918, 1545, 2164, 13, 13, 13, 1753, 16897, 29898, 29990, 1125, 13, 1678, 736, 7442, 29889, 24049, 29898, 29990, 29892, 29871, 29900, 29892, 7442, 29889, 3317, 29898, 29990, 876, 13, 13, 13, 1753, 364, 14486, 29898, 29990, 29892, 4036, 29918, 26776, 29922, 29941, 29892, 736, 29918, 29879, 5510, 29922, 5574, 1125, 13, 1678, 565, 29234, 29889, 790, 5510, 29898, 29990, 1125, 13, 4706, 1060, 353, 1060, 29889, 517, 2378, 580, 13, 13, 1678, 1060, 29918, 1154, 29892, 1060, 29918, 524, 353, 7442, 29889, 1545, 29888, 29898, 29990, 29897, 13, 1678, 1060, 29918, 14486, 353, 1060, 29918, 524, 718, 313, 9302, 29889, 8172, 29889, 8172, 29918, 11249, 29898, 29990, 29889, 12181, 29897, 529, 1060, 29918, 1154, 29897, 13, 1678, 565, 736, 29918, 29879, 5510, 29901, 13, 4706, 736, 29234, 29889, 2395, 29878, 29918, 5344, 29898, 29990, 29918, 14486, 29897, 13, 1678, 1683, 29901, 13, 4706, 736, 1060, 29918, 14486, 13, 13, 13, 1753, 364, 14486, 29918, 2541, 29918, 276, 412, 1446, 29898, 29990, 29892, 612, 29892, 12312, 29918, 9748, 29892, 4036, 29918, 26776, 29922, 29941, 29892, 736, 29918, 29879, 5510, 29922, 5574, 1125, 13, 13, 1678, 1060, 29918, 14486, 353, 364, 14486, 29898, 29990, 29892, 4036, 29918, 26776, 29922, 8172, 29918, 26776, 29892, 736, 29918, 29879, 5510, 29922, 2457, 29918, 29879, 5510, 29897, 13, 13, 1678, 4974, 612, 29889, 12181, 29961, 29900, 29962, 1275, 1060, 29889, 12181, 29961, 29900, 29962, 13, 13, 1678, 565, 12312, 29918, 9748, 1405, 29871, 29896, 29901, 13, 4706, 926, 29918, 13140, 353, 29871, 29900, 13, 4706, 3480, 29918, 13140, 353, 29871, 29900, 13, 4706, 363, 474, 297, 3464, 29898, 29990, 29918, 14486, 29889, 12181, 29961, 29900, 29962, 1125, 13, 9651, 565, 612, 29961, 29875, 29962, 1275, 29871, 29896, 29901, 13, 18884, 565, 926, 29918, 13140, 1273, 12312, 29918, 9748, 1275, 29871, 29900, 29901, 13, 462, 1678, 1833, 29918, 1066, 29918, 29916, 353, 1060, 29918, 14486, 29961, 29875, 29892, 584, 29962, 13, 18884, 1683, 29901, 13, 462, 1678, 1060, 29918, 14486, 29961, 29875, 29892, 584, 29962, 353, 1833, 29918, 1066, 29918, 29916, 13, 18884, 926, 29918, 13140, 4619, 29871, 29896, 13, 9651, 1683, 29901, 13, 18884, 565, 3480, 29918, 13140, 1273, 12312, 29918, 9748, 1275, 29871, 29900, 29901, 13, 462, 1678, 1833, 29918, 10052, 29918, 29916, 353, 1060, 29918, 14486, 29961, 29875, 29892, 584, 29962, 13, 18884, 1683, 29901, 13, 462, 1678, 1060, 29918, 14486, 29961, 29875, 29892, 584, 29962, 353, 1833, 29918, 10052, 29918, 29916, 13, 18884, 3480, 29918, 13140, 4619, 29871, 29896, 13, 13, 1678, 736, 1060, 29918, 14486, 13, 13, 13, 1753, 2060, 29918, 10268, 29918, 29879, 9085, 29898, 29990, 29892, 612, 29892, 2971, 2236, 29892, 1644, 1007, 29879, 29892, 770, 29918, 1958, 1125, 13, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 22645, 353, 770, 29918, 1958, 29961, 29891, 29962, 13, 4706, 11855, 353, 2971, 2236, 29961, 13140, 29962, 13, 4706, 1644, 1007, 353, 1644, 1007, 29879, 29961, 13140, 29892, 584, 29962, 13, 13, 4706, 528, 17741, 29918, 3166, 29918, 5064, 353, 1060, 29961, 29979, 1275, 343, 29892, 584, 29962, 448, 1644, 1007, 13, 4706, 1320, 29879, 29918, 3166, 29918, 5064, 353, 7442, 29889, 29880, 979, 29887, 29889, 12324, 29898, 845, 17741, 29918, 3166, 29918, 5064, 29892, 9685, 29922, 29896, 29897, 13, 13, 4706, 528, 17741, 29918, 3166, 29918, 5064, 29961, 29881, 2879, 29918, 3166, 29918, 5064, 1405, 11855, 29892, 584, 29962, 334, 29922, 11855, 847, 7442, 29889, 690, 14443, 29898, 29881, 2879, 29918, 3166, 29918, 5064, 29961, 29881, 2879, 29918, 3166, 29918, 5064, 1405, 11855, 1402, 8521, 29896, 29892, 29871, 29896, 876, 13, 4706, 1060, 29961, 29979, 1275, 343, 29892, 584, 29962, 353, 528, 17741, 29918, 3166, 29918, 5064, 718, 1644, 1007, 13, 13, 4706, 1596, 703, 4557, 310, 313, 29995, 29879, 29897, 3291, 2060, 287, 11480, 20745, 29901, 1273, 29879, 29908, 1273, 313, 29891, 29892, 7442, 29889, 2083, 29898, 29881, 2879, 29918, 3166, 29918, 5064, 1405, 11855, 4961, 13, 13, 1678, 736, 1060, 13, 13, 13, 1753, 2060, 29918, 10268, 29918, 2536, 370, 29898, 29990, 29892, 612, 29892, 325, 29892, 2971, 2236, 29892, 1644, 1007, 29879, 29892, 770, 29918, 1958, 1125, 13, 1678, 9995, 13, 1678, 325, 29985, 29911, 921, 4225, 304, 367, 2629, 11855, 310, 325, 29985, 29911, 1644, 1007, 29889, 13, 1678, 325, 338, 29871, 29896, 921, 270, 322, 4226, 1891, 29889, 13, 1678, 9995, 13, 1678, 325, 353, 7442, 29889, 690, 14443, 29898, 29894, 847, 7442, 29889, 29880, 979, 29887, 29889, 12324, 29898, 29894, 511, 313, 29896, 29892, 448, 29896, 876, 13, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 22645, 353, 770, 29918, 1958, 29961, 29891, 29962, 13, 4706, 11855, 353, 2971, 2236, 29961, 13140, 29962, 13, 4706, 1644, 1007, 353, 1644, 1007, 29879, 29961, 13140, 29892, 584, 29962, 13, 13, 4706, 396, 960, 325, 29985, 29911, 921, 338, 2086, 2919, 29892, 769, 1320, 29879, 29918, 284, 549, 29918, 29894, 338, 6374, 13, 4706, 396, 960, 372, 29915, 29879, 2086, 2319, 29892, 769, 1320, 29879, 29918, 284, 549, 29918, 29894, 338, 8178, 13, 4706, 1320, 29879, 29918, 284, 549, 29918, 29894, 353, 313, 29990, 29961, 29979, 1275, 343, 29892, 584, 29962, 448, 1644, 1007, 467, 6333, 29898, 29894, 29889, 29911, 29897, 13, 4706, 528, 17741, 29918, 284, 549, 29918, 29894, 353, 7442, 29889, 690, 14443, 29898, 13, 9651, 1320, 29879, 29918, 284, 549, 29918, 29894, 448, 7442, 29889, 24049, 29898, 29881, 2879, 29918, 284, 549, 29918, 29894, 29892, 448, 13471, 29892, 11855, 511, 13, 9651, 313, 29896, 29892, 448, 29896, 876, 13, 4706, 1060, 29961, 29979, 1275, 343, 29892, 584, 29962, 22361, 528, 17741, 29918, 284, 549, 29918, 29894, 29889, 29911, 29889, 6333, 29898, 29894, 29897, 13, 13, 4706, 1596, 703, 4557, 310, 313, 29995, 29879, 29897, 3291, 2060, 287, 11480, 2243, 370, 29901, 1273, 29879, 29908, 1273, 313, 29891, 29892, 7442, 29889, 2083, 29898, 9302, 29889, 6897, 29898, 29881, 2879, 29918, 284, 549, 29918, 29894, 29897, 1405, 11855, 4961, 13, 13, 1678, 736, 1060, 13, 13, 1753, 679, 29918, 771, 6929, 29918, 9144, 29898, 13, 1678, 1060, 29918, 14941, 29892, 13, 1678, 612, 29918, 14941, 29892, 13, 1678, 20745, 29922, 5574, 29892, 13, 1678, 2243, 370, 29922, 5574, 29892, 13, 1678, 1661, 29918, 22198, 29922, 8824, 29892, 13, 1678, 3109, 29918, 27603, 29918, 650, 29922, 8824, 29892, 13, 1678, 671, 29918, 22833, 29918, 29878, 12449, 29922, 8824, 29892, 13, 1678, 10151, 488, 29922, 29929, 29900, 1125, 13, 1678, 1596, 29898, 29990, 29918, 14941, 29897, 13, 1678, 7306, 353, 525, 2886, 29918, 28502, 342, 29918, 3149, 29915, 13, 1678, 770, 29918, 1958, 29892, 1644, 1007, 29879, 29892, 1644, 1007, 29918, 2003, 29892, 20745, 29918, 3665, 2236, 29892, 2243, 370, 29918, 3665, 2236, 353, 679, 29918, 1272, 29918, 7529, 29898, 29990, 29918, 14941, 29892, 612, 29918, 14941, 29892, 10151, 488, 29897, 13, 1678, 565, 671, 29918, 22833, 29918, 29878, 12449, 470, 1661, 29918, 22198, 470, 3109, 29918, 27603, 29918, 650, 470, 313, 29879, 9085, 322, 2243, 370, 1125, 13, 4706, 565, 671, 29918, 22833, 29918, 29878, 12449, 29901, 13, 9651, 2060, 272, 353, 7568, 29918, 23687, 29889, 8140, 326, 3950, 29898, 13, 18884, 270, 29922, 29990, 29918, 14941, 29889, 12181, 29961, 29896, 1402, 13, 18884, 671, 29918, 29879, 9085, 29922, 29879, 9085, 29892, 13, 18884, 671, 29918, 2536, 370, 29922, 2536, 370, 29892, 13, 18884, 1661, 29918, 22198, 29922, 5464, 29918, 22198, 29892, 13, 18884, 3109, 29918, 27603, 29918, 650, 29922, 2222, 29918, 27603, 29918, 650, 29892, 13, 18884, 1040, 6038, 29918, 3317, 29918, 6758, 29922, 8824, 29892, 13, 18884, 7306, 29922, 28111, 29892, 13, 18884, 1060, 29922, 29990, 29918, 14941, 13, 18884, 1723, 13, 9651, 2060, 272, 353, 7568, 29918, 23687, 29889, 8140, 326, 3950, 29898, 13, 18884, 270, 29922, 29990, 29918, 14941, 29889, 12181, 29961, 29896, 1402, 13, 18884, 671, 29918, 29879, 9085, 29922, 29879, 9085, 29892, 13, 18884, 671, 29918, 2536, 370, 29922, 2536, 370, 29892, 13, 18884, 1661, 29918, 22198, 29922, 5464, 29918, 22198, 29892, 13, 18884, 3109, 29918, 27603, 29918, 650, 29922, 2222, 29918, 27603, 29918, 650, 29892, 13, 18884, 1040, 6038, 29918, 3317, 29918, 6758, 29922, 8824, 29892, 13, 18884, 7306, 29922, 28111, 29892, 13, 18884, 1060, 29922, 29990, 29918, 14941, 13, 18884, 1723, 13, 4706, 1683, 29901, 13, 9651, 2060, 272, 353, 7568, 29918, 23687, 29889, 8140, 326, 3950, 29898, 13, 18884, 270, 29922, 29990, 29918, 14941, 29889, 12181, 29961, 29896, 1402, 13, 18884, 671, 29918, 29879, 9085, 29922, 29879, 9085, 29892, 13, 18884, 671, 29918, 2536, 370, 29922, 2536, 370, 29892, 13, 18884, 1661, 29918, 22198, 29922, 5464, 29918, 22198, 29892, 13, 18884, 3109, 29918, 27603, 29918, 650, 29922, 2222, 29918, 27603, 29918, 650, 29892, 13, 18884, 1040, 6038, 29918, 3317, 29918, 6758, 29922, 8824, 29892, 13, 18884, 7306, 29922, 28111, 13, 18884, 1723, 13, 13, 4706, 396, 3462, 1250, 4482, 29899, 10003, 18246, 565, 591, 4337, 1250, 304, 925, 20745, 29974, 2536, 370, 13, 4706, 822, 2060, 29918, 10268, 29918, 1725, 294, 1821, 29918, 842, 29898, 13, 9651, 1060, 29892, 612, 29892, 13, 9651, 278, 941, 29922, 8516, 29892, 13, 9651, 24003, 29922, 8516, 29892, 13, 632, 1125, 13, 9651, 954, 29918, 19057, 353, 1060, 29889, 12181, 29961, 29900, 29962, 13, 9651, 410, 29926, 29918, 29990, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 29990, 29897, 13, 13, 9651, 363, 22645, 297, 3464, 29898, 1949, 29918, 19057, 1125, 13, 18884, 921, 353, 1060, 29961, 13140, 29892, 584, 29962, 13, 18884, 343, 353, 612, 29961, 13140, 29962, 13, 18884, 770, 29918, 13140, 353, 770, 29918, 1958, 29961, 29891, 29962, 13, 13, 18884, 1644, 1007, 353, 1644, 1007, 29879, 29961, 1990, 29918, 13140, 29892, 584, 29962, 13, 18884, 20745, 29918, 13471, 353, 20745, 29918, 3665, 2236, 29961, 1990, 29918, 13140, 29962, 13, 18884, 2243, 370, 29918, 13471, 353, 2243, 370, 29918, 3665, 2236, 29961, 1990, 29918, 13140, 29962, 13, 18884, 410, 29926, 29918, 29990, 29961, 13140, 29892, 584, 29962, 353, 2060, 272, 29889, 1195, 326, 675, 29918, 957, 29918, 1725, 294, 1821, 29918, 842, 29898, 13, 462, 1678, 6213, 29892, 13, 462, 1678, 921, 29892, 13, 462, 1678, 1644, 1007, 29892, 13, 462, 1678, 1644, 1007, 29918, 2003, 29892, 13, 462, 1678, 20745, 29918, 13471, 29892, 13, 462, 1678, 2243, 370, 29918, 13471, 29897, 13, 13, 9651, 954, 29918, 4836, 287, 353, 7442, 29889, 2083, 29898, 9302, 29889, 3317, 29898, 29990, 448, 410, 29926, 29918, 29990, 29892, 9685, 29922, 29896, 29897, 1405, 29871, 29896, 29872, 29899, 29953, 29897, 13, 9651, 1596, 877, 7653, 287, 1273, 29879, 6455, 6169, 1273, 954, 29918, 4836, 287, 29897, 13, 9651, 736, 410, 29926, 29918, 29990, 13, 13, 1678, 1683, 29901, 13, 4706, 822, 2060, 29918, 10268, 29918, 1725, 294, 1821, 29918, 842, 29898, 29990, 29892, 612, 29892, 278, 941, 29922, 8516, 29892, 24003, 29922, 8516, 1125, 13, 9651, 565, 20745, 29901, 13, 18884, 1060, 353, 2060, 29918, 10268, 29918, 29879, 9085, 29898, 29990, 29892, 612, 29892, 20745, 29918, 3665, 2236, 29892, 1644, 1007, 29879, 29892, 770, 29918, 1958, 29897, 13, 13, 9651, 25342, 2243, 370, 29901, 13, 18884, 1060, 353, 2060, 29918, 10268, 29918, 2536, 370, 29898, 29990, 29892, 612, 29892, 1644, 1007, 29918, 2003, 29892, 2243, 370, 29918, 3665, 2236, 29892, 1644, 1007, 29879, 29892, 770, 29918, 1958, 29897, 13, 9651, 736, 1060, 13, 13, 1678, 736, 2060, 29918, 10268, 29918, 1725, 294, 1821, 29918, 842, 13, 13, 13, 1753, 4175, 29918, 9748, 29918, 449, 2975, 29918, 1725, 294, 1821, 29918, 842, 29898, 29990, 29892, 612, 29892, 13, 462, 462, 539, 1644, 1007, 29879, 29892, 1644, 1007, 29918, 2003, 29892, 13, 462, 462, 539, 20745, 29918, 3665, 2236, 29892, 2243, 370, 29918, 3665, 2236, 29892, 13, 462, 462, 539, 770, 29918, 1958, 1125, 13, 1678, 20745, 29918, 29881, 2879, 353, 822, 11259, 29889, 26017, 29918, 29881, 2879, 29918, 5062, 29918, 29984, 29898, 13, 4706, 1060, 29892, 13, 4706, 612, 29892, 13, 4706, 660, 29922, 8516, 29892, 13, 4706, 1644, 1007, 29879, 29922, 1760, 1007, 29879, 29892, 13, 4706, 770, 29918, 1958, 29922, 1990, 29918, 1958, 29897, 13, 1678, 2243, 370, 29918, 29881, 2879, 353, 822, 11259, 29889, 26017, 29918, 29881, 2879, 29918, 5062, 29918, 29984, 29898, 13, 4706, 1060, 29892, 13, 4706, 612, 29892, 13, 4706, 660, 29922, 1760, 1007, 29918, 2003, 29892, 13, 4706, 1644, 1007, 29879, 29922, 1760, 1007, 29879, 29892, 13, 4706, 770, 29918, 1958, 29922, 1990, 29918, 1958, 29897, 13, 13, 1678, 22645, 29918, 517, 29918, 17462, 353, 7442, 29889, 2378, 4197, 5574, 29962, 334, 1060, 29889, 12181, 29961, 29900, 2314, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 22645, 29918, 517, 29918, 17462, 29961, 9302, 29889, 3062, 29898, 29979, 1275, 343, 9601, 29900, 3816, 29879, 9085, 29918, 29881, 2879, 29961, 29979, 1275, 343, 29962, 1405, 20745, 29918, 3665, 2236, 29961, 1990, 29918, 1958, 29961, 29891, 5262, 5262, 353, 7700, 13, 4706, 22645, 29918, 517, 29918, 17462, 29961, 9302, 29889, 3062, 29898, 29979, 1275, 343, 9601, 29900, 3816, 2536, 370, 29918, 29881, 2879, 29961, 29979, 1275, 343, 29962, 1405, 2243, 370, 29918, 3665, 2236, 29961, 1990, 29918, 1958, 29961, 29891, 5262, 5262, 353, 7700, 13, 13, 1678, 1596, 29898, 9302, 29889, 2083, 29898, 13140, 29918, 517, 29918, 17462, 876, 13, 1678, 736, 1060, 29961, 13140, 29918, 517, 29918, 17462, 29892, 584, 1402, 612, 29961, 13140, 29918, 517, 29918, 17462, 29962, 13, 2 ]
hw/hw02/tests/q5.py	surajrampure/data-94-sp21	1	42559	<gh_stars>1-10 test = { 'name': 'q5', 'points': 3, 'suites': [ { 'cases': [ {'code': ">>> big_tippers(['suraj', 15, 'isaac', 9, 'angela', 19]) == ['suraj', 'angela']\nTrue", 'hidden': False, 'locked': False}, { 'code': ">>> big_tippers(['suraj', 15, 'isaac', 25, 'angela', 19, 'anna', 21, 'aayush', 14, 'sukrit', 8]) == ['isaac', 'angela', 'anna']\nTrue", 'hidden': False, 'locked': False}, { 'code': '>>> # If you fail this, note that we want the names of those who tipped MORE than the average,;\n' '>>> # not equal to or more than;\n' ">>> big_tippers(['a', 2, 'b', 2, 'c', 2]) == []\n" 'True', 'hidden': False, 'locked': False}], 'scored': True, 'setup': '', 'teardown': '', 'type': 'doctest'}]}	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 1688, 353, 426, 259, 525, 978, 2396, 525, 29939, 29945, 742, 13, 1678, 525, 9748, 2396, 29871, 29941, 29892, 13, 1678, 525, 2146, 3246, 2396, 518, 259, 426, 259, 525, 11436, 2396, 518, 259, 11117, 401, 2396, 376, 6778, 29958, 4802, 29918, 2034, 22437, 18959, 7610, 1175, 742, 29871, 29896, 29945, 29892, 525, 8069, 562, 742, 29871, 29929, 29892, 525, 574, 3100, 742, 29871, 29896, 29929, 2314, 1275, 6024, 7610, 1175, 742, 525, 574, 3100, 2033, 29905, 29876, 5574, 613, 525, 10892, 2396, 7700, 29892, 525, 29113, 2396, 7700, 1118, 13, 462, 462, 259, 426, 259, 525, 401, 2396, 376, 6778, 29958, 4802, 29918, 2034, 22437, 18959, 7610, 1175, 742, 29871, 29896, 29945, 29892, 525, 8069, 562, 742, 29871, 29906, 29945, 29892, 525, 574, 3100, 742, 29871, 29896, 29929, 29892, 525, 9713, 742, 29871, 29906, 29896, 29892, 525, 29874, 388, 1878, 742, 29871, 29896, 29946, 29892, 525, 2146, 29895, 768, 742, 29871, 29947, 2314, 1275, 6024, 8069, 562, 742, 525, 574, 3100, 742, 525, 9713, 2033, 29905, 29876, 5574, 613, 13, 462, 462, 539, 525, 10892, 2396, 7700, 29892, 13, 462, 462, 539, 525, 29113, 2396, 7700, 1118, 13, 462, 462, 259, 426, 259, 525, 401, 2396, 525, 6778, 29958, 396, 960, 366, 4418, 445, 29892, 4443, 393, 591, 864, 278, 2983, 310, 1906, 1058, 260, 16242, 16999, 1525, 1135, 278, 6588, 29892, 10436, 29876, 29915, 13, 462, 462, 1669, 525, 6778, 29958, 396, 451, 5186, 304, 470, 901, 1135, 10436, 29876, 29915, 13, 462, 462, 1669, 376, 6778, 29958, 4802, 29918, 2034, 22437, 18959, 29874, 742, 29871, 29906, 29892, 525, 29890, 742, 29871, 29906, 29892, 525, 29883, 742, 29871, 29906, 2314, 1275, 5159, 29905, 29876, 29908, 13, 462, 462, 1669, 525, 5574, 742, 13, 462, 462, 539, 525, 10892, 2396, 7700, 29892, 13, 462, 462, 539, 525, 29113, 2396, 7700, 29913, 1402, 13, 462, 418, 525, 1557, 4395, 2396, 5852, 29892, 13, 462, 418, 525, 14669, 2396, 15516, 13, 462, 418, 525, 371, 538, 776, 2396, 15516, 13, 462, 418, 525, 1853, 2396, 525, 1867, 312, 342, 29915, 6525, 29913, 13, 2 ]
timemachines/skaters/nproph/nprophetiskaterfactory.py	iklasky/timemachines	253	25385	<filename>timemachines/skaters/nproph/nprophetiskaterfactory.py from timemachines.skaters.nproph.nprophetinclusion import using_neuralprophet, NeuralProphet if using_neuralprophet: import pandas as pd from typing import List, Tuple, Any from timemachines.skatertools.utilities.conventions import wrap from timemachines.skaters.nproph.nprophparams import NPROPHET_MODEL, NPROPHET_META def nprophet_iskater_factory(y: [[float]], k: int, a: List = None, t: List = None, e=None, freq: str = None, n_max=1000, recursive: bool = False, model_params: dict = None, return_forecast=True): # For now we keep it simple. Will add to this over time y0s = [wrap(yi)[0] for yi in y] x, x_std, forecast,m = nprophet_fit_and_predict_simple(y=y0s,k=k,freq=freq,model_params=model_params) return (x, x_std, forecast, m) if return_forecast else (x, x_std) def nprophet_fit_and_predict_simple(y: [float], k: int, freq: str = None, model_params: dict = None) -> Tuple[ List, List, Any, Any]: """ Simpler wrapper for offlinetesting - univariate only """ assert isinstance(y[0],float) freq = freq or NPROPHET_META['freq'] used_params = NPROPHET_MODEL used_params.update({'n_forecasts':k}) if model_params: used_params.update(model_params) if len(y)<used_params['n_lags']: x = [wrap(y)[0]]k x_std = [1.0]k return x, x_std, None, None else: model = NeuralProphet(*used_params) df = pd.DataFrame(columns=['y'], data=y) df['ds'] = pd.date_range(start='2021-01-01', periods=len(y), freq=freq) metrics = model.fit(df, freq=freq, epochs=40, progress_bar=False) future = model.make_future_dataframe(df) forecast = model.predict(future) x = [ forecast['yhat'+str(j+1)].values[-k+j] for j in range(k) ] x_std = [1.0]k return x, x_std, forecast, model if __name__=='__main__': assert using_neuralprophet,'pip install neuralprophet' from timemachines.skatertools.data.real import hospital k = 3 n = 500 y = hospital(n=n)[-200:] x, x_std, forecast, m = nprophet_iskater_factory(y=y, k=k) print(x) assert len(x) == k x1, x_std1, forecast1, m1 = nprophet_fit_and_predict_simple(y=y, k=k) if True: m.plot(forecast) m1.plot(forecast1) import matplotlib.pyplot as plt plt.show()	[ 1, 529, 9507, 29958, 9346, 331, 496, 1475, 29914, 808, 10412, 29914, 29876, 771, 561, 29914, 29876, 771, 561, 300, 3873, 1008, 14399, 29889, 2272, 13, 3166, 5335, 331, 496, 1475, 29889, 808, 10412, 29889, 29876, 771, 561, 29889, 29876, 771, 561, 300, 262, 10085, 1053, 773, 29918, 484, 3631, 771, 561, 300, 29892, 2448, 3631, 1184, 561, 300, 13, 361, 773, 29918, 484, 3631, 771, 561, 300, 29901, 13, 1678, 1053, 11701, 408, 10518, 13, 1678, 515, 19229, 1053, 2391, 29892, 12603, 552, 29892, 3139, 13, 1678, 515, 5335, 331, 496, 1475, 29889, 808, 1008, 8504, 29889, 4422, 1907, 29889, 535, 794, 1080, 1053, 12244, 13, 1678, 515, 5335, 331, 496, 1475, 29889, 808, 10412, 29889, 29876, 771, 561, 29889, 29876, 771, 561, 7529, 1053, 405, 8618, 19689, 2544, 29918, 20387, 29931, 29892, 405, 8618, 19689, 2544, 29918, 2303, 6040, 13, 13, 1678, 822, 302, 771, 561, 300, 29918, 3873, 1008, 29918, 14399, 29898, 29891, 29901, 5519, 7411, 20526, 413, 29901, 938, 29892, 263, 29901, 2391, 353, 6213, 29892, 260, 29901, 2391, 353, 6213, 29892, 321, 29922, 8516, 29892, 3005, 29939, 29901, 851, 353, 6213, 29892, 302, 29918, 3317, 29922, 29896, 29900, 29900, 29900, 29892, 13, 462, 18884, 16732, 29901, 6120, 353, 7700, 29892, 1904, 29918, 7529, 29901, 9657, 353, 6213, 29892, 736, 29918, 1079, 4384, 29922, 5574, 1125, 13, 4706, 396, 1152, 1286, 591, 3013, 372, 2560, 29889, 2811, 788, 304, 445, 975, 931, 13, 4706, 343, 29900, 29879, 353, 518, 6312, 29898, 25675, 9601, 29900, 29962, 363, 343, 29875, 297, 343, 29962, 13, 4706, 921, 29892, 921, 29918, 4172, 29892, 29821, 579, 29892, 29885, 353, 302, 771, 561, 300, 29918, 9202, 29918, 392, 29918, 27711, 29918, 12857, 29898, 29891, 29922, 29891, 29900, 29879, 29892, 29895, 29922, 29895, 29892, 29888, 7971, 29922, 29888, 7971, 29892, 4299, 29918, 7529, 29922, 4299, 29918, 7529, 29897, 13, 4706, 736, 313, 29916, 29892, 921, 29918, 4172, 29892, 29821, 579, 29892, 286, 29897, 565, 736, 29918, 1079, 4384, 1683, 313, 29916, 29892, 921, 29918, 4172, 29897, 13, 13, 13, 1678, 822, 302, 771, 561, 300, 29918, 9202, 29918, 392, 29918, 27711, 29918, 12857, 29898, 29891, 29901, 518, 7411, 1402, 413, 29901, 938, 29892, 3005, 29939, 29901, 851, 353, 6213, 29892, 1904, 29918, 7529, 29901, 9657, 353, 6213, 29897, 1599, 12603, 552, 29961, 13, 4706, 2391, 29892, 2391, 29892, 3139, 29892, 3139, 5387, 13, 4706, 9995, 3439, 20069, 14476, 363, 1283, 1915, 300, 342, 292, 448, 443, 27432, 403, 871, 9995, 13, 4706, 4974, 338, 8758, 29898, 29891, 29961, 29900, 1402, 7411, 29897, 13, 4706, 3005, 29939, 353, 3005, 29939, 470, 405, 8618, 19689, 2544, 29918, 2303, 6040, 1839, 29888, 7971, 2033, 13, 4706, 1304, 29918, 7529, 353, 405, 8618, 19689, 2544, 29918, 20387, 29931, 13, 4706, 1304, 29918, 7529, 29889, 5504, 3319, 29915, 29876, 29918, 1079, 4384, 29879, 2396, 29895, 1800, 13, 4706, 565, 1904, 29918, 7529, 29901, 13, 9651, 1304, 29918, 7529, 29889, 5504, 29898, 4299, 29918, 7529, 29897, 13, 13, 4706, 565, 7431, 29898, 29891, 29897, 29966, 3880, 29918, 7529, 1839, 29876, 29918, 29880, 810, 2033, 29901, 13, 9651, 921, 353, 518, 6312, 29898, 29891, 9601, 29900, 5262, 29930, 29895, 13, 9651, 921, 29918, 4172, 353, 518, 29896, 29889, 29900, 14178, 29895, 13, 9651, 736, 921, 29892, 921, 29918, 4172, 29892, 6213, 29892, 6213, 13, 4706, 1683, 29901, 13, 9651, 1904, 353, 2448, 3631, 1184, 561, 300, 29898, 1068, 3880, 29918, 7529, 29897, 13, 9651, 4489, 353, 10518, 29889, 17271, 29898, 13099, 29922, 1839, 29891, 7464, 848, 29922, 29891, 29897, 13, 9651, 4489, 1839, 6289, 2033, 353, 10518, 29889, 1256, 29918, 3881, 29898, 2962, 2433, 29906, 29900, 29906, 29896, 29899, 29900, 29896, 29899, 29900, 29896, 742, 23704, 29922, 2435, 29898, 29891, 511, 3005, 29939, 29922, 29888, 7971, 29897, 13, 9651, 21556, 353, 1904, 29889, 9202, 29898, 2176, 29892, 3005, 29939, 29922, 29888, 7971, 29892, 21502, 12168, 29922, 29946, 29900, 29892, 6728, 29918, 1646, 29922, 8824, 29897, 13, 9651, 5434, 353, 1904, 29889, 5675, 29918, 29888, 9130, 29918, 1272, 2557, 29898, 2176, 29897, 13, 9651, 29821, 579, 353, 1904, 29889, 27711, 29898, 29888, 9130, 29897, 13, 9651, 921, 353, 518, 29821, 579, 1839, 29891, 2455, 18717, 710, 29898, 29926, 29974, 29896, 29897, 1822, 5975, 14352, 29895, 29974, 29926, 29962, 363, 432, 297, 3464, 29898, 29895, 29897, 4514, 13, 9651, 921, 29918, 4172, 353, 518, 29896, 29889, 29900, 14178, 29895, 13, 9651, 736, 921, 29892, 921, 29918, 4172, 29892, 29821, 579, 29892, 1904, 13, 13, 13, 361, 4770, 978, 1649, 1360, 29915, 1649, 3396, 1649, 2396, 13, 1678, 4974, 773, 29918, 484, 3631, 771, 561, 300, 5501, 13096, 2601, 19677, 771, 561, 300, 29915, 13, 1678, 515, 5335, 331, 496, 1475, 29889, 808, 1008, 8504, 29889, 1272, 29889, 6370, 1053, 13457, 13, 13, 1678, 413, 353, 29871, 29941, 13, 1678, 302, 353, 29871, 29945, 29900, 29900, 13, 1678, 343, 353, 13457, 29898, 29876, 29922, 29876, 9601, 29899, 29906, 29900, 29900, 17531, 13, 1678, 921, 29892, 921, 29918, 4172, 29892, 29821, 579, 29892, 286, 353, 302, 771, 561, 300, 29918, 3873, 1008, 29918, 14399, 29898, 29891, 29922, 29891, 29892, 413, 29922, 29895, 29897, 13, 1678, 1596, 29898, 29916, 29897, 13, 1678, 4974, 7431, 29898, 29916, 29897, 1275, 413, 13, 1678, 921, 29896, 29892, 921, 29918, 4172, 29896, 29892, 29821, 579, 29896, 29892, 286, 29896, 353, 302, 771, 561, 300, 29918, 9202, 29918, 392, 29918, 27711, 29918, 12857, 29898, 29891, 29922, 29891, 29892, 413, 29922, 29895, 29897, 13, 1678, 565, 5852, 29901, 13, 4706, 286, 29889, 5317, 29898, 1079, 4384, 29897, 13, 4706, 286, 29896, 29889, 5317, 29898, 1079, 4384, 29896, 29897, 13, 4706, 1053, 22889, 29889, 2272, 5317, 408, 14770, 13, 4706, 14770, 29889, 4294, 580, 2 ]
common/pagination.py	pannkotsky/musicworks	0	99706	from rest_framework.pagination import LimitOffsetPagination from rest_framework.response import Response class PaginationWithCountHeader(LimitOffsetPagination): def get_paginated_response(self, data): headers = { 'X-Total-Count': self.count, 'X-Limit': self.limit } return Response(data, headers=headers) def get_paginated_response_schema(self, schema): return schema	[ 1, 515, 1791, 29918, 4468, 29889, 13573, 3381, 1053, 9628, 277, 10302, 29925, 351, 3381, 13, 3166, 1791, 29918, 4468, 29889, 5327, 1053, 13291, 13, 13, 13, 1990, 349, 351, 3381, 3047, 3981, 7850, 29898, 24445, 10302, 29925, 351, 3381, 1125, 13, 1678, 822, 679, 29918, 13573, 262, 630, 29918, 5327, 29898, 1311, 29892, 848, 1125, 13, 4706, 9066, 353, 426, 13, 9651, 525, 29990, 29899, 11536, 29899, 3981, 2396, 1583, 29889, 2798, 29892, 13, 9651, 525, 29990, 29899, 24445, 2396, 1583, 29889, 13400, 13, 4706, 500, 13, 4706, 736, 13291, 29898, 1272, 29892, 9066, 29922, 13662, 29897, 13, 13, 1678, 822, 679, 29918, 13573, 262, 630, 29918, 5327, 29918, 11010, 29898, 1311, 29892, 10938, 1125, 13, 4706, 736, 10938, 13, 2 ]
sample/delete_all_dm.py	techno/python-twoauth	2	103979	#!/usr/bin/env python #-- coding: utf-8 -- import sys import twoauth if __name__ == "__main__": ckey = sys.argv[1] csecret = sys.argv[2] atoken = sys.argv[3] asecret = sys.argv[4] api = twoauth.api( ckey, csecret, atoken, asecret) while True: dml = api.dm_list() if not dml: break for dm in dml: print dm["id"] api.dm_destroy(dm["id"])	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 29899, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 5215, 10876, 13, 5215, 1023, 5150, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 1678, 274, 1989, 353, 10876, 29889, 19218, 29961, 29896, 29962, 13, 1678, 274, 19024, 353, 10876, 29889, 19218, 29961, 29906, 29962, 13, 1678, 472, 4476, 353, 10876, 29889, 19218, 29961, 29941, 29962, 13, 1678, 263, 19024, 353, 10876, 29889, 19218, 29961, 29946, 29962, 13, 268, 13, 1678, 7882, 353, 1023, 5150, 29889, 2754, 29898, 13, 4706, 274, 1989, 29892, 274, 19024, 29892, 472, 4476, 29892, 263, 19024, 29897, 13, 268, 13, 1678, 1550, 5852, 29901, 13, 4706, 270, 828, 353, 7882, 29889, 18933, 29918, 1761, 580, 13, 4706, 565, 451, 270, 828, 29901, 13, 9651, 2867, 13, 13, 4706, 363, 270, 29885, 297, 270, 828, 29901, 13, 9651, 1596, 270, 29885, 3366, 333, 3108, 13, 9651, 7882, 29889, 18933, 29918, 20524, 29898, 18933, 3366, 333, 20068, 13, 2 ]
python-2/beginner/1001-extremely-basic.py	Adriandpr/uri-online-solutions	16	1601099	n1 = int(input()) n2 = int(input()) total = n1 + n2 print "X =", total	[ 1, 302, 29896, 353, 938, 29898, 2080, 3101, 13, 29876, 29906, 353, 938, 29898, 2080, 3101, 13, 13, 7827, 353, 302, 29896, 718, 302, 29906, 13, 13, 2158, 376, 29990, 353, 613, 3001, 13, 2 ]
util/get_weather_icons_map.py	multipolygon/esphome-configs	0	28990	from urllib.request import urlopen import json import re url = urlopen("https://raw.githubusercontent.com/Templarian/MaterialDesign/master/meta.json") meta = [(i['name'], i['codepoint']) for i in json.loads(url.read()) if re.search('^weather-', i['name'])] print('''--- esphome: # ... includes: - weather_icon_map.h # ... font: - file: fonts/materialdesignicons-webfont.ttf id: ... size: ... glyphs:''') for name, codepoint in meta: print(' - "\\U000%s" # %s' % (codepoint, name)) with open('weather_icon_map.h', 'w') as h: h.write('#include <map>\nstd::map<std::string, std::string> weather_icon_map\n') h.write(' {\n') for name, codepoint in meta: h.write(' {"%s", "\\U000%s"},\n' % (name.replace('weather-', ''), codepoint)) h.write(' };\n') print('---') for name, codepoint in meta: print(' "%s",' % (name.replace('weather-', '')))	[ 1, 515, 3142, 1982, 29889, 3827, 1053, 5065, 417, 2238, 13, 5215, 4390, 13, 5215, 337, 13, 13, 2271, 353, 5065, 417, 2238, 703, 991, 597, 1610, 29889, 3292, 1792, 3051, 29889, 510, 29914, 5776, 572, 13956, 29914, 24095, 4002, 647, 29914, 6207, 29914, 7299, 29889, 3126, 1159, 13, 7299, 353, 17288, 29875, 1839, 978, 7464, 474, 1839, 401, 3149, 11287, 363, 474, 297, 4390, 29889, 18132, 29898, 2271, 29889, 949, 3101, 565, 337, 29889, 4478, 877, 29985, 705, 1624, 29899, 742, 474, 1839, 978, 2033, 4638, 13, 13, 2158, 877, 4907, 5634, 13, 267, 561, 608, 29901, 13, 29871, 396, 2023, 13, 29871, 7805, 29901, 13, 1678, 448, 14826, 29918, 4144, 29918, 1958, 29889, 29882, 13, 13, 29937, 2023, 13, 13, 5657, 29901, 13, 29871, 448, 934, 29901, 23849, 29914, 15388, 13892, 27078, 29899, 705, 1635, 609, 29889, 698, 29888, 13, 1678, 1178, 29901, 2023, 13, 1678, 2159, 29901, 2023, 13, 1678, 330, 27026, 29879, 29901, 4907, 1495, 13, 13, 1454, 1024, 29892, 775, 3149, 297, 12700, 29901, 13, 1678, 1596, 877, 418, 448, 376, 1966, 29965, 29900, 29900, 29900, 29995, 29879, 29908, 396, 1273, 29879, 29915, 1273, 313, 401, 3149, 29892, 1024, 876, 13, 13, 2541, 1722, 877, 705, 1624, 29918, 4144, 29918, 1958, 29889, 29882, 742, 525, 29893, 1495, 408, 298, 29901, 13, 1678, 298, 29889, 3539, 14237, 2856, 529, 1958, 14247, 29876, 4172, 1057, 1958, 29966, 4172, 1057, 1807, 29892, 3659, 1057, 1807, 29958, 14826, 29918, 4144, 29918, 1958, 29905, 29876, 1495, 13, 1678, 298, 29889, 3539, 877, 29871, 2802, 29876, 1495, 13, 1678, 363, 1024, 29892, 775, 3149, 297, 12700, 29901, 13, 4706, 298, 29889, 3539, 877, 1678, 8853, 29995, 29879, 613, 376, 1966, 29965, 29900, 29900, 29900, 29995, 29879, 29908, 7570, 29876, 29915, 1273, 313, 978, 29889, 6506, 877, 705, 1624, 29899, 742, 525, 5477, 775, 3149, 876, 13, 1678, 298, 29889, 3539, 877, 29871, 3980, 29905, 29876, 1495, 13, 13, 2158, 877, 5634, 1495, 13, 1454, 1024, 29892, 775, 3149, 297, 12700, 29901, 13, 1678, 1596, 877, 1678, 11860, 29879, 613, 29915, 1273, 313, 978, 29889, 6506, 877, 705, 1624, 29899, 742, 6629, 4961, 13, 2 ]
picture-edit-test.py	scripsi/picture	0	113617	<filename>picture-edit-test.py import cv2 as cv import numpy as np #img=cv.imread("image.jpg",cv.IMREAD_GRAYSCALE) img=cv.imread("image.jpg") #ret,oimg = cv.threshold(img, 0, 255, cv.THRESH_BINARY + cv.THRESH_OTSU) #gimg = cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C,cv.THRESH_BINARY,11,2) date_img = img[20:50, 1151:1441] meter_a_img = img[730:780,525:815] meter_b_img = img[1160:1200,1455:1745] cv.imwrite("datestamp.png",date_img) cv.imwrite("heating-meter.png",meter_a_img) cv.imwrite("standard-meter.png",meter_b_img) all_img = cv.vconcat([date_img,meter_a_img,meter_b_img]) cv.imwrite("all-meter.jpg",all_img)	[ 1, 529, 9507, 29958, 12095, 29899, 5628, 29899, 1688, 29889, 2272, 13, 5215, 13850, 29906, 408, 13850, 13, 5215, 12655, 408, 7442, 13, 13, 29937, 2492, 29922, 11023, 29889, 326, 949, 703, 3027, 29889, 6173, 613, 11023, 29889, 7833, 16310, 29918, 29954, 4717, 21554, 5454, 1307, 29897, 13, 2492, 29922, 11023, 29889, 326, 949, 703, 3027, 29889, 6173, 1159, 13, 29937, 2267, 29892, 29877, 2492, 353, 13850, 29889, 386, 12268, 29898, 2492, 29892, 29871, 29900, 29892, 29871, 29906, 29945, 29945, 29892, 13850, 29889, 4690, 1525, 7068, 29918, 29933, 1177, 19926, 718, 13850, 29889, 4690, 1525, 7068, 29918, 2891, 14605, 29897, 13, 29937, 29887, 2492, 353, 13850, 29889, 1114, 415, 573, 1349, 12268, 29898, 2492, 29892, 29906, 29945, 29945, 29892, 11023, 29889, 3035, 3301, 29911, 18474, 29918, 4690, 1525, 7068, 29918, 12739, 29965, 1799, 29902, 2190, 29918, 29907, 29892, 11023, 29889, 4690, 1525, 7068, 29918, 29933, 1177, 19926, 29892, 29896, 29896, 29892, 29906, 29897, 13, 1256, 29918, 2492, 353, 10153, 29961, 29906, 29900, 29901, 29945, 29900, 29892, 29871, 29896, 29896, 29945, 29896, 29901, 29896, 29946, 29946, 29896, 29962, 13, 29391, 29918, 29874, 29918, 2492, 353, 10153, 29961, 29955, 29941, 29900, 29901, 29955, 29947, 29900, 29892, 29945, 29906, 29945, 29901, 29947, 29896, 29945, 29962, 13, 29391, 29918, 29890, 29918, 2492, 353, 10153, 29961, 29896, 29896, 29953, 29900, 29901, 29896, 29906, 29900, 29900, 29892, 29896, 29946, 29945, 29945, 29901, 29896, 29955, 29946, 29945, 29962, 13, 11023, 29889, 326, 3539, 703, 4130, 7416, 29889, 2732, 613, 1256, 29918, 2492, 29897, 13, 11023, 29889, 326, 3539, 703, 354, 1218, 29899, 29391, 29889, 2732, 613, 29391, 29918, 29874, 29918, 2492, 29897, 13, 11023, 29889, 326, 3539, 703, 15770, 29899, 29391, 29889, 2732, 613, 29391, 29918, 29890, 29918, 2492, 29897, 13, 497, 29918, 2492, 353, 13850, 29889, 29894, 17685, 4197, 1256, 29918, 2492, 29892, 29391, 29918, 29874, 29918, 2492, 29892, 29391, 29918, 29890, 29918, 2492, 2314, 13, 11023, 29889, 326, 3539, 703, 497, 29899, 29391, 29889, 6173, 613, 497, 29918, 2492, 29897, 13, 2 ]
skimage/__init__.py	jjhelmus/scikit-image	0	1607978	<filename>skimage/__init__.py """Image Processing SciKit (Toolbox for SciPy) ``scikit-image`` (a.k.a. ``skimage``) is a collection of algorithms for image processing and computer vision. The main package of ``skimage`` only provides a few utilities for converting between image data types; for most features, you need to import one of the following subpackages: Subpackages ----------- color Color space conversion. data Test images and example data. draw Drawing primitives (lines, text, etc.) that operate on NumPy arrays. exposure Image intensity adjustment, e.g., histogram equalization, etc. feature Feature detection and extraction, e.g., texture analysis corners, etc. filters Sharpening, edge finding, rank filters, thresholding, etc. graph Graph-theoretic operations, e.g., shortest paths. io Reading, saving, and displaying images and video. measure Measurement of image properties, e.g., similarity and contours. morphology Morphological operations, e.g., opening or skeletonization. novice Simplified interface for teaching purposes. restoration Restoration algorithms, e.g., deconvolution algorithms, denoising, etc. segmentation Partitioning an image into multiple regions. transform Geometric and other transforms, e.g., rotation or the Radon transform. util Generic utilities. viewer A simple graphical user interface for visualizing results and exploring parameters. Utility Functions ----------------- img_as_float Convert an image to floating point format, with values in [0, 1]. img_as_uint Convert an image to unsigned integer format, with values in [0, 65535]. img_as_int Convert an image to signed integer format, with values in [-32768, 32767]. img_as_ubyte Convert an image to unsigned byte format, with values in [0, 255]. """ import os.path as osp import imp import functools import warnings import sys pkg_dir = osp.abspath(osp.dirname(__file__)) data_dir = osp.join(pkg_dir, 'data') __version__ = '0.13dev' try: imp.find_module('nose') except ImportError: def _test(doctest=False, verbose=False): """This would run all unit tests, but nose couldn't be imported so the test suite can not run. """ raise ImportError("Could not load nose. Unit tests not available.") else: def _test(doctest=False, verbose=False): """Run all unit tests.""" import nose args = ['', pkg_dir, '--exe', '--ignore-files=^_test'] if verbose: args.extend(['-v', '-s']) if doctest: args.extend(['--with-doctest', '--ignore-files=^\.', '--ignore-files=^setup\.py$$', '--ignore-files=test']) # Make sure warnings do not break the doc tests with warnings.catch_warnings(): warnings.simplefilter("ignore") success = nose.run('skimage', argv=args) else: success = nose.run('skimage', argv=args) # Return sys.exit code if success: return 0 else: return 1 # do not use `test` as function name as this leads to a recursion problem with # the nose test suite test = _test test_verbose = functools.partial(test, verbose=True) test_verbose.__doc__ = test.__doc__ doctest = functools.partial(test, doctest=True) doctest.__doc__ = doctest.__doc__ doctest_verbose = functools.partial(test, doctest=True, verbose=True) doctest_verbose.__doc__ = doctest.__doc__ # Logic for checking for improper install and importing while in the source # tree when package has not been installed inplace. # Code adapted from scikit-learn's __check_build module. _INPLACE_MSG = """ It appears that you are importing a local scikit-image source tree. For this, you need to have an inplace install. Maybe you are in the source directory and you need to try from another location.""" _STANDARD_MSG = """ Your install of scikit-image appears to be broken. Try re-installing the package following the instructions at: http://scikit-image.org/docs/stable/install.html """ def _raise_build_error(e): # Raise a comprehensible error local_dir = osp.split(__file__)[0] msg = _STANDARD_MSG if local_dir == "skimage": # Picking up the local install: this will work only if the # install is an 'inplace build' msg = _INPLACE_MSG raise ImportError("""%s It seems that scikit-image has not been built correctly. %s""" % (e, msg)) try: # This variable is injected in the __builtins__ by the build # process. It used to enable importing subpackages of skimage when # the binaries are not built __SKIMAGE_SETUP__ except NameError: __SKIMAGE_SETUP__ = False if __SKIMAGE_SETUP__: sys.stderr.write('Partial import of skimage during the build process.\n') # We are not importing the rest of the scikit during the build # process, as it may not be compiled yet else: try: from ._shared import geometry del geometry except ImportError as e: _raise_build_error(e) from .util.dtype import * if sys.version.startswith('2.6'): msg = ("Python 2.6 is deprecated and will not be supported in " "scikit-image 0.13+") warnings.warn(msg, stacklevel=2) del warnings, functools, osp, imp, sys	[ 1, 529, 9507, 29958, 808, 3027, 29914, 1649, 2344, 26914, 2272, 13, 15945, 29908, 2940, 10554, 292, 5636, 13117, 313, 12229, 1884, 363, 5636, 19737, 29897, 13, 13, 16159, 26167, 7354, 29899, 3027, 16159, 313, 29874, 29889, 29895, 29889, 29874, 29889, 4954, 808, 3027, 29952, 6348, 338, 263, 4333, 310, 14009, 363, 1967, 13, 19170, 322, 6601, 18551, 29889, 13, 13, 1576, 1667, 3577, 310, 4954, 808, 3027, 16159, 871, 8128, 263, 2846, 3667, 1907, 363, 17415, 13, 14811, 1967, 848, 4072, 29936, 363, 1556, 5680, 29892, 366, 817, 304, 1053, 697, 310, 278, 13, 23031, 292, 1014, 8318, 29901, 13, 13, 4035, 8318, 13, 1378, 5634, 13, 2780, 13, 1678, 9159, 2913, 11301, 29889, 13, 1272, 13, 1678, 4321, 4558, 322, 1342, 848, 29889, 13, 4012, 13, 1678, 18492, 292, 28147, 3145, 313, 9012, 29892, 1426, 29892, 2992, 1846, 393, 21994, 373, 11848, 19737, 7049, 29889, 13, 735, 1066, 545, 13, 1678, 7084, 26171, 10365, 358, 29892, 321, 29889, 29887, 1696, 9825, 13342, 5186, 2133, 29892, 2992, 29889, 13, 14394, 13, 1678, 5169, 1535, 15326, 322, 4805, 428, 29892, 321, 29889, 29887, 1696, 18459, 7418, 26995, 29892, 2992, 29889, 13, 26705, 13, 1678, 1383, 279, 2238, 292, 29892, 7636, 9138, 29892, 7115, 18094, 29892, 16897, 292, 29892, 2992, 29889, 13, 4262, 13, 1678, 12367, 29899, 1552, 272, 7492, 6931, 29892, 321, 29889, 29887, 1696, 3273, 342, 10898, 29889, 13, 601, 13, 1678, 21439, 29892, 14238, 29892, 322, 16384, 4558, 322, 4863, 29889, 13, 26658, 13, 1678, 2191, 3745, 358, 310, 1967, 4426, 29892, 321, 29889, 29887, 1696, 29501, 322, 640, 2470, 29889, 13, 29885, 5676, 3002, 13, 1678, 3879, 561, 5996, 6931, 29892, 321, 29889, 29887, 1696, 8718, 470, 18109, 11285, 2133, 29889, 13, 13715, 625, 13, 1678, 3439, 572, 2164, 5067, 363, 18819, 11976, 29889, 13, 5060, 12418, 13, 1678, 11654, 12418, 14009, 29892, 321, 29889, 29887, 1696, 316, 535, 4068, 14009, 29892, 972, 29877, 5921, 29892, 2992, 29889, 13, 28192, 362, 13, 1678, 3455, 654, 292, 385, 1967, 964, 2999, 12786, 29889, 13, 9067, 13, 1678, 1879, 14066, 322, 916, 4327, 29879, 29892, 321, 29889, 29887, 1696, 13733, 470, 278, 4957, 265, 4327, 29889, 13, 4422, 13, 1678, 3251, 293, 3667, 1907, 29889, 13, 29894, 15580, 13, 1678, 319, 2560, 3983, 936, 1404, 5067, 363, 7604, 5281, 2582, 322, 3902, 8253, 13, 1678, 4128, 29889, 13, 13, 7270, 537, 6680, 29879, 13, 2683, 29899, 13, 2492, 29918, 294, 29918, 7411, 13, 1678, 14806, 385, 1967, 304, 16526, 1298, 3402, 29892, 411, 1819, 297, 518, 29900, 29892, 29871, 29896, 1822, 13, 2492, 29918, 294, 29918, 13470, 13, 1678, 14806, 385, 1967, 304, 12780, 6043, 3402, 29892, 411, 1819, 297, 518, 29900, 29892, 29871, 29953, 29945, 29945, 29941, 29945, 1822, 13, 2492, 29918, 294, 29918, 524, 13, 1678, 14806, 385, 1967, 304, 8794, 6043, 3402, 29892, 411, 1819, 297, 21069, 29941, 29906, 29955, 29953, 29947, 29892, 29871, 29941, 29906, 29955, 29953, 29955, 1822, 13, 2492, 29918, 294, 29918, 4471, 371, 13, 1678, 14806, 385, 1967, 304, 12780, 7023, 3402, 29892, 411, 1819, 297, 518, 29900, 29892, 29871, 29906, 29945, 29945, 1822, 13, 13, 15945, 29908, 13, 13, 5215, 2897, 29889, 2084, 408, 288, 1028, 13, 5215, 2411, 13, 5215, 2090, 312, 8789, 13, 5215, 18116, 13, 5215, 10876, 13, 13, 15865, 29918, 3972, 353, 288, 1028, 29889, 370, 1028, 493, 29898, 4705, 29889, 25721, 22168, 1445, 1649, 876, 13, 1272, 29918, 3972, 353, 288, 1028, 29889, 7122, 29898, 15865, 29918, 3972, 29892, 525, 1272, 1495, 13, 13, 1649, 3259, 1649, 353, 525, 29900, 29889, 29896, 29941, 3359, 29915, 13, 13, 2202, 29901, 13, 1678, 2411, 29889, 2886, 29918, 5453, 877, 29876, 852, 1495, 13, 19499, 16032, 2392, 29901, 13, 1678, 822, 903, 1688, 29898, 1867, 312, 342, 29922, 8824, 29892, 26952, 29922, 8824, 1125, 13, 4706, 9995, 4013, 723, 1065, 599, 5190, 6987, 29892, 541, 26414, 8496, 29915, 29873, 367, 13, 4706, 19673, 577, 278, 1243, 9460, 508, 451, 1065, 29889, 13, 4706, 9995, 13, 4706, 12020, 16032, 2392, 703, 23323, 451, 2254, 26414, 29889, 13223, 6987, 451, 3625, 23157, 13, 13, 2870, 29901, 13, 1678, 822, 903, 1688, 29898, 1867, 312, 342, 29922, 8824, 29892, 26952, 29922, 8824, 1125, 13, 4706, 9995, 6558, 599, 5190, 6987, 1213, 15945, 13, 4706, 1053, 26414, 13, 4706, 6389, 353, 6024, 742, 282, 9415, 29918, 3972, 29892, 525, 489, 8097, 742, 525, 489, 17281, 29899, 5325, 29922, 29985, 29918, 1688, 2033, 13, 4706, 565, 26952, 29901, 13, 9651, 6389, 29889, 21843, 18959, 29899, 29894, 742, 17411, 29879, 11287, 13, 4706, 565, 437, 312, 342, 29901, 13, 9651, 6389, 29889, 21843, 18959, 489, 2541, 29899, 1867, 312, 342, 742, 525, 489, 17281, 29899, 5325, 29922, 3823, 29889, 742, 13, 462, 308, 525, 489, 17281, 29899, 5325, 29922, 29985, 14669, 23301, 2272, 3997, 742, 525, 489, 17281, 29899, 5325, 29922, 1688, 11287, 13, 9651, 396, 8561, 1854, 18116, 437, 451, 2867, 278, 1574, 6987, 13, 9651, 411, 18116, 29889, 12510, 29918, 25442, 886, 7295, 13, 18884, 18116, 29889, 12857, 4572, 703, 17281, 1159, 13, 18884, 2551, 353, 26414, 29889, 3389, 877, 808, 3027, 742, 1852, 29894, 29922, 5085, 29897, 13, 4706, 1683, 29901, 13, 9651, 2551, 353, 26414, 29889, 3389, 877, 808, 3027, 742, 1852, 29894, 29922, 5085, 29897, 13, 4706, 396, 7106, 10876, 29889, 13322, 775, 13, 4706, 565, 2551, 29901, 13, 9651, 736, 29871, 29900, 13, 4706, 1683, 29901, 13, 9651, 736, 29871, 29896, 13, 13, 13, 29937, 437, 451, 671, 421, 1688, 29952, 408, 740, 1024, 408, 445, 11981, 304, 263, 20437, 1108, 411, 13, 29937, 278, 26414, 1243, 9460, 13, 1688, 353, 903, 1688, 13, 1688, 29918, 369, 15828, 353, 2090, 312, 8789, 29889, 3846, 29898, 1688, 29892, 26952, 29922, 5574, 29897, 13, 1688, 29918, 369, 15828, 17255, 1514, 1649, 353, 1243, 17255, 1514, 1649, 13, 1867, 312, 342, 353, 2090, 312, 8789, 29889, 3846, 29898, 1688, 29892, 437, 312, 342, 29922, 5574, 29897, 13, 1867, 312, 342, 17255, 1514, 1649, 353, 437, 312, 342, 17255, 1514, 1649, 13, 1867, 312, 342, 29918, 369, 15828, 353, 2090, 312, 8789, 29889, 3846, 29898, 1688, 29892, 437, 312, 342, 29922, 5574, 29892, 26952, 29922, 5574, 29897, 13, 1867, 312, 342, 29918, 369, 15828, 17255, 1514, 1649, 353, 437, 312, 342, 17255, 1514, 1649, 13, 13, 13, 29937, 4522, 293, 363, 8454, 363, 4857, 546, 2601, 322, 28348, 1550, 297, 278, 2752, 13, 29937, 5447, 746, 3577, 756, 451, 1063, 5130, 297, 6689, 29889, 13, 29937, 5920, 23430, 515, 4560, 7354, 29899, 19668, 29915, 29879, 4770, 3198, 29918, 4282, 3883, 29889, 13, 29918, 1177, 7390, 11538, 29918, 4345, 29954, 353, 9995, 13, 3112, 5692, 393, 366, 526, 28348, 263, 1887, 4560, 7354, 29899, 3027, 2752, 5447, 29889, 1152, 13, 1366, 29892, 366, 817, 304, 505, 385, 297, 6689, 2601, 29889, 7198, 366, 526, 297, 278, 2752, 13, 12322, 322, 366, 817, 304, 1018, 515, 1790, 4423, 1213, 15945, 13, 13, 29918, 1254, 9468, 17011, 29918, 4345, 29954, 353, 9995, 13, 10858, 2601, 310, 4560, 7354, 29899, 3027, 5692, 304, 367, 9391, 29889, 13, 15870, 337, 29899, 6252, 292, 278, 3577, 1494, 278, 11994, 472, 29901, 13, 1124, 597, 26167, 7354, 29899, 3027, 29889, 990, 29914, 2640, 29914, 13844, 29914, 6252, 29889, 1420, 9995, 13, 13, 13, 1753, 903, 22692, 29918, 4282, 29918, 2704, 29898, 29872, 1125, 13, 1678, 396, 6981, 895, 263, 15171, 575, 1821, 1059, 13, 1678, 1887, 29918, 3972, 353, 288, 1028, 29889, 5451, 22168, 1445, 1649, 9601, 29900, 29962, 13, 1678, 10191, 353, 903, 1254, 9468, 17011, 29918, 4345, 29954, 13, 1678, 565, 1887, 29918, 3972, 1275, 376, 808, 3027, 1115, 13, 4706, 396, 23868, 292, 701, 278, 1887, 2601, 29901, 445, 674, 664, 871, 565, 278, 13, 4706, 396, 2601, 338, 385, 525, 262, 6689, 2048, 29915, 13, 4706, 10191, 353, 903, 1177, 7390, 11538, 29918, 4345, 29954, 13, 1678, 12020, 16032, 2392, 703, 15945, 29995, 29879, 13, 3112, 2444, 393, 4560, 7354, 29899, 3027, 756, 451, 1063, 4240, 5149, 29889, 13, 29995, 29879, 15945, 29908, 1273, 313, 29872, 29892, 10191, 876, 13, 13, 2202, 29901, 13, 1678, 396, 910, 2286, 338, 11658, 287, 297, 278, 4770, 16145, 1144, 1649, 491, 278, 2048, 13, 1678, 396, 1889, 29889, 739, 1304, 304, 9025, 28348, 1014, 8318, 310, 2071, 3027, 746, 13, 1678, 396, 278, 9016, 4314, 526, 451, 4240, 13, 1678, 4770, 16033, 2382, 29918, 10490, 4897, 1649, 13, 19499, 4408, 2392, 29901, 13, 1678, 4770, 16033, 2382, 29918, 10490, 4897, 1649, 353, 7700, 13, 13, 361, 4770, 16033, 2382, 29918, 10490, 4897, 1649, 29901, 13, 1678, 10876, 29889, 303, 20405, 29889, 3539, 877, 7439, 616, 1053, 310, 2071, 3027, 2645, 278, 2048, 1889, 7790, 29876, 1495, 13, 1678, 396, 1334, 526, 451, 28348, 278, 1791, 310, 278, 4560, 7354, 2645, 278, 2048, 13, 1678, 396, 1889, 29892, 408, 372, 1122, 451, 367, 13126, 3447, 13, 2870, 29901, 13, 1678, 1018, 29901, 13, 4706, 515, 869, 29918, 12366, 1053, 16303, 13, 4706, 628, 16303, 13, 1678, 5174, 16032, 2392, 408, 321, 29901, 13, 4706, 903, 22692, 29918, 4282, 29918, 2704, 29898, 29872, 29897, 13, 1678, 515, 869, 4422, 29889, 29881, 1853, 1053, 334, 13, 13, 13, 361, 10876, 29889, 3259, 29889, 27382, 2541, 877, 29906, 29889, 29953, 29374, 13, 1678, 10191, 353, 4852, 11980, 29871, 29906, 29889, 29953, 338, 18164, 322, 674, 451, 367, 6969, 297, 376, 13, 965, 376, 26167, 7354, 29899, 3027, 29871, 29900, 29889, 29896, 29941, 29974, 1159, 13, 1678, 18116, 29889, 25442, 29898, 7645, 29892, 5096, 5563, 29922, 29906, 29897, 13, 13, 13, 6144, 18116, 29892, 2090, 312, 8789, 29892, 288, 1028, 29892, 2411, 29892, 10876, 13, 2 ]
hugs/__init__.py	Bogdanp/hugs	22	14564	from .repository import Repository from .manager import Manager __all__ = ["Manager", "Repository", "__version__"] __version__ = "0.2.0"	[ 1, 515, 869, 19033, 1053, 830, 7036, 13, 3166, 869, 12847, 1053, 15629, 13, 13, 1649, 497, 1649, 353, 6796, 3260, 613, 376, 11481, 613, 376, 1649, 3259, 1649, 3108, 13, 1649, 3259, 1649, 353, 376, 29900, 29889, 29906, 29889, 29900, 29908, 13, 2 ]
netlist.py	phdbreak/netlist_parser.py	11	41186	<gh_stars>10-100 # Parent tree # design # \|---> module # \|-----> port/wire # \|-----> instance # \|-----> pin class design_t: def __init__(self): self.modules = dict() def add_module(self, module_name): if (module_name in self.modules.keys()): print 'Error: module (%s) already exisits' % module_name return None m = module_t(module_name) self.modules(m.name) = m return m class module_t: def __init__(self, name): self.name = name self.ports = dict() self.ls_port = list() # port in order self.wires = dict() self.instances = dict() self.params = dict() self.is_hierarchical = True self.full_name = self.name def add_port(self, port_name, direction): if (port_name in self.ports.keys()): print 'Error: port (%s) in module (%s) already exists' % (port_name, self.full_name) return None p = port_t(port_name, self, direction) self.ports(p.name) = p self.ls_port.append(p) return p def add_wire(self, wire_name): if (wire_name in self.wires.keys()): print 'Error: wire (%s) in module (%s) already exists' % (wire_name, self.full_name) return None w = wire_t(wire_name, self) self.wires(w.name) = w return w def add_instance(self, instance_name): if (instance_name in self.instances.keys()): print 'Error: instance (%s) in module (%s) already exists' % (instance_name, self.full_name) return None n = instance_t(instance_name, self) self.instances(n.name) = n return n def add_param(self, param, default_value): if (param in self.params.keys()): print 'Error: param (%s) in module (%s) already exists' % (param, self.full_name) return 0 self.params(param) = default_value return 1 # def __eq__(self, other): # equal = True # if not (self.name == other.name): # equal = False # if not __eq_dict__(self.ports, other.ports): # equal = False # if not __eq_dict__(self.instances, other.instances): # equal = False # if not __eq_dict__(self.wires, other.wires): # equal = False # # if not equal: # print 'Error: modules (%s != %s) donot match' % (self, other) # # return equal class instance_t: 'instance of module' def __init__(self, name, parent_module): self.name = name self.parent_module = parent_module self.pins = dict() self.master_module = None self.params = dict() self.full_name = '%s.%s' % (self.parent_module.name, self.name) for master_port in self.parent_module.ports.values(): p = pin_t(master_port, self) self.pins[p.name] = p def connect_pin(self, pin_name, connect_name): # find connect m = self.parent_module if (connect_name in m.ports.keys()): connect = m.ports(connect_name) elif (connect_name in m.wires.keys()): connect = m.wires(connect_name) else: print 'Error: cannot find connect (%s) in module (%s) for instance (%s)' % (connect_name, m.name, self.name) self.pins[pin_name].ls_connect.append(connect) connect.ls_connect.append(self) def add_param(self, param, value): assert param in self.parent_module.params.keys(), 'Error: param (%s) doesnot exist in module (%s)' % (param, self.parent_module.name) self.params(param) = value # def __eq__(self, other): # equal = True # if (not self.name == other.name) or (not self.parent_module.name == other.parent_module.name) or (not self.master_module.name == other.master_module.name): # equal = False # if not __eq_dict__(self.pins, other.pins): # equal = False # # if not equal: # print 'Error: instances (%s != %s) donot match' % (self, other) # # return equal class net_t: 'basic class for wire/port/pin' def __init__(self, name): self.name = name self.ls_connect = list() class wire_t(net_t): 'wire in module, connect to internal pin' def __init__(self, name, parent_module): net_t.__init__(self, name) self.parent_module = parent_module self.ls_fanin = list() self.ls_fanout = list() class port_t(net_t): 'port of module, connect to internal pin' def __init__(self, name, parent_module, direction): net_t.__init__(self, name) self.parent_module = parent_module assert direction in 'input output bidirection', direction self.direction = direction self.full_name = '%s.%s' % (self.parent_module.name, self.name) # def __eq__(self, other): # if (not self.name == other.name) or (not self.parent_module.name == other.parent_module.name) or (not self.direction == other.direction): # print 'Error: ports (%s != %s) donot match' % (self, other) # return False # else: # return True class pin_t(port_t): 'pin of instance, connect to external port/wire' def __init__(self, master_port, parent_instance): net_t.__init__(self, master_port.name) self.master_port = master_port self.parent_instance = parent_instance self.full_name = '%s.%s.%s' % (self.parent_instance.parent_module.name, self.parent_instance.name, self.name) # def __eq__(self, other): # if (not self.name == other.name) or (not self.master_port.name == other.master_port.name) or (not self.parent_instance.name == other.parent_instance.name): # print 'Error: pins (%s != %s) donot match' % (self, other) # return False # else: # return true ################################################################ # compare 2 design/module ################################################################ def __eq_dict__(dict1, dict2): if (len(set(dict1.keys()) ^ set(dict2.keys())) > 0): return False for key in dict1.keys(): if not (dict1[key] == dict2[port_name]): return False return True	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29899, 29896, 29900, 29900, 13, 30004, 13, 29937, 22280, 5447, 30004, 13, 29937, 2874, 30004, 13, 29937, 891, 489, 976, 3883, 30004, 13, 29937, 539, 891, 807, 976, 2011, 29914, 22376, 30004, 13, 29937, 539, 891, 807, 976, 2777, 30004, 13, 29937, 1669, 891, 807, 976, 12534, 30004, 13, 30004, 13, 1990, 2874, 29918, 29873, 29901, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 30004, 13, 4706, 1583, 29889, 7576, 353, 9657, 26471, 13, 30004, 13, 1678, 822, 788, 29918, 5453, 29898, 1311, 29892, 3883, 29918, 978, 1125, 30004, 13, 4706, 565, 313, 5453, 29918, 978, 297, 1583, 29889, 7576, 29889, 8149, 580, 1125, 30004, 13, 9651, 1596, 525, 2392, 29901, 3883, 313, 29995, 29879, 29897, 2307, 429, 275, 1169, 29915, 1273, 3883, 29918, 978, 30004, 13, 9651, 736, 6213, 30004, 13, 4706, 286, 353, 3883, 29918, 29873, 29898, 5453, 29918, 978, 8443, 13, 4706, 1583, 29889, 7576, 29898, 29885, 29889, 978, 29897, 353, 286, 30004, 13, 4706, 736, 286, 30004, 13, 30004, 13, 1990, 3883, 29918, 29873, 29901, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 1125, 30004, 13, 4706, 1583, 29889, 978, 353, 1024, 30004, 13, 30004, 13, 4706, 1583, 29889, 4011, 353, 9657, 26471, 13, 4706, 1583, 29889, 3137, 29918, 637, 353, 1051, 580, 396, 2011, 297, 1797, 30004, 13, 4706, 1583, 29889, 29893, 2658, 353, 9657, 26471, 13, 4706, 1583, 29889, 2611, 2925, 353, 9657, 26471, 13, 30004, 13, 4706, 1583, 29889, 7529, 353, 9657, 26471, 13, 30004, 13, 4706, 1583, 29889, 275, 29918, 29882, 631, 1279, 936, 353, 5852, 30004, 13, 30004, 13, 4706, 1583, 29889, 8159, 29918, 978, 353, 1583, 29889, 978, 30004, 13, 30004, 13, 1678, 822, 788, 29918, 637, 29898, 1311, 29892, 2011, 29918, 978, 29892, 5305, 1125, 30004, 13, 4706, 565, 313, 637, 29918, 978, 297, 1583, 29889, 4011, 29889, 8149, 580, 1125, 30004, 13, 9651, 1596, 525, 2392, 29901, 2011, 313, 29995, 29879, 29897, 297, 3883, 313, 29995, 29879, 29897, 2307, 4864, 29915, 1273, 313, 637, 29918, 978, 29892, 1583, 29889, 8159, 29918, 978, 8443, 13, 9651, 736, 6213, 30004, 13, 4706, 282, 353, 2011, 29918, 29873, 29898, 637, 29918, 978, 29892, 1583, 29892, 5305, 8443, 13, 4706, 1583, 29889, 4011, 29898, 29886, 29889, 978, 29897, 353, 282, 30004, 13, 4706, 1583, 29889, 3137, 29918, 637, 29889, 4397, 29898, 29886, 8443, 13, 4706, 736, 282, 30004, 13, 30004, 13, 1678, 822, 788, 29918, 22376, 29898, 1311, 29892, 8014, 29918, 978, 1125, 30004, 13, 4706, 565, 313, 22376, 29918, 978, 297, 1583, 29889, 29893, 2658, 29889, 8149, 580, 1125, 30004, 13, 9651, 1596, 525, 2392, 29901, 8014, 313, 29995, 29879, 29897, 297, 3883, 313, 29995, 29879, 29897, 2307, 4864, 29915, 1273, 313, 22376, 29918, 978, 29892, 1583, 29889, 8159, 29918, 978, 8443, 13, 9651, 736, 6213, 30004, 13, 4706, 281, 353, 8014, 29918, 29873, 29898, 22376, 29918, 978, 29892, 1583, 8443, 13, 4706, 1583, 29889, 29893, 2658, 29898, 29893, 29889, 978, 29897, 353, 281, 30004, 13, 4706, 736, 281, 30004, 13, 30004, 13, 1678, 822, 788, 29918, 8758, 29898, 1311, 29892, 2777, 29918, 978, 1125, 30004, 13, 4706, 565, 313, 8758, 29918, 978, 297, 1583, 29889, 2611, 2925, 29889, 8149, 580, 1125, 30004, 13, 9651, 1596, 525, 2392, 29901, 2777, 313, 29995, 29879, 29897, 297, 3883, 313, 29995, 29879, 29897, 2307, 4864, 29915, 1273, 313, 8758, 29918, 978, 29892, 1583, 29889, 8159, 29918, 978, 8443, 13, 9651, 736, 6213, 30004, 13, 4706, 302, 353, 2777, 29918, 29873, 29898, 8758, 29918, 978, 29892, 1583, 8443, 13, 4706, 1583, 29889, 2611, 2925, 29898, 29876, 29889, 978, 29897, 353, 302, 30004, 13, 4706, 736, 302, 30004, 13, 30004, 13, 1678, 822, 788, 29918, 3207, 29898, 1311, 29892, 1828, 29892, 2322, 29918, 1767, 1125, 30004, 13, 4706, 565, 313, 3207, 297, 1583, 29889, 7529, 29889, 8149, 580, 1125, 30004, 13, 9651, 1596, 525, 2392, 29901, 1828, 313, 29995, 29879, 29897, 297, 3883, 313, 29995, 29879, 29897, 2307, 4864, 29915, 1273, 313, 3207, 29892, 1583, 29889, 8159, 29918, 978, 8443, 13, 9651, 736, 29871, 29900, 30004, 13, 4706, 1583, 29889, 7529, 29898, 3207, 29897, 353, 2322, 29918, 1767, 30004, 13, 4706, 736, 29871, 29896, 30004, 13, 30004, 13, 29937, 268, 822, 4770, 1837, 12035, 1311, 29892, 916, 1125, 30004, 13, 29937, 308, 5186, 353, 5852, 30004, 13, 29937, 308, 565, 451, 313, 1311, 29889, 978, 1275, 916, 29889, 978, 1125, 30004, 13, 29937, 632, 5186, 353, 7700, 30004, 13, 29937, 308, 565, 451, 4770, 1837, 29918, 8977, 12035, 1311, 29889, 4011, 29892, 916, 29889, 4011, 1125, 30004, 13, 29937, 632, 5186, 353, 7700, 30004, 13, 29937, 308, 565, 451, 4770, 1837, 29918, 8977, 12035, 1311, 29889, 2611, 2925, 29892, 916, 29889, 2611, 2925, 1125, 30004, 13, 29937, 632, 5186, 353, 7700, 30004, 13, 29937, 308, 565, 451, 4770, 1837, 29918, 8977, 12035, 1311, 29889, 29893, 2658, 29892, 916, 29889, 29893, 2658, 1125, 30004, 13, 29937, 632, 5186, 353, 7700, 30004, 13, 29937, 6756, 13, 29937, 308, 565, 451, 5186, 29901, 30004, 13, 29937, 632, 1596, 525, 2392, 29901, 10585, 313, 29995, 29879, 2804, 1273, 29879, 29897, 1016, 327, 1993, 29915, 1273, 313, 1311, 29892, 916, 8443, 13, 29937, 6756, 13, 29937, 308, 736, 5186, 30004, 13, 30004, 13, 1990, 2777, 29918, 29873, 29901, 30004, 13, 1678, 525, 8758, 310, 3883, 29915, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 29892, 3847, 29918, 5453, 1125, 30004, 13, 4706, 1583, 29889, 978, 353, 1024, 30004, 13, 4706, 1583, 29889, 3560, 29918, 5453, 353, 3847, 29918, 5453, 30004, 13, 4706, 1583, 29889, 29886, 1144, 353, 9657, 26471, 13, 30004, 13, 4706, 1583, 29889, 6207, 29918, 5453, 353, 6213, 30004, 13, 4706, 1583, 29889, 7529, 353, 9657, 26471, 13, 30004, 13, 4706, 1583, 29889, 8159, 29918, 978, 353, 29871, 14210, 29879, 29889, 29995, 29879, 29915, 1273, 313, 1311, 29889, 3560, 29918, 5453, 29889, 978, 29892, 1583, 29889, 978, 8443, 13, 30004, 13, 4706, 363, 5835, 29918, 637, 297, 1583, 29889, 3560, 29918, 5453, 29889, 4011, 29889, 5975, 7295, 30004, 13, 9651, 282, 353, 12534, 29918, 29873, 29898, 6207, 29918, 637, 29892, 1583, 8443, 13, 9651, 1583, 29889, 29886, 1144, 29961, 29886, 29889, 978, 29962, 353, 282, 30004, 13, 30004, 13, 1678, 822, 4511, 29918, 12687, 29898, 1311, 29892, 12534, 29918, 978, 29892, 4511, 29918, 978, 1125, 30004, 13, 4706, 396, 1284, 4511, 30004, 13, 4706, 286, 353, 1583, 29889, 3560, 29918, 5453, 30004, 13, 4706, 565, 313, 6915, 29918, 978, 297, 286, 29889, 4011, 29889, 8149, 580, 1125, 30004, 13, 9651, 4511, 353, 286, 29889, 4011, 29898, 6915, 29918, 978, 8443, 13, 4706, 25342, 313, 6915, 29918, 978, 297, 286, 29889, 29893, 2658, 29889, 8149, 580, 1125, 30004, 13, 9651, 4511, 353, 286, 29889, 29893, 2658, 29898, 6915, 29918, 978, 8443, 13, 4706, 1683, 29901, 30004, 13, 9651, 1596, 525, 2392, 29901, 2609, 1284, 4511, 313, 29995, 29879, 29897, 297, 3883, 313, 29995, 29879, 29897, 363, 2777, 313, 29995, 29879, 16029, 1273, 313, 6915, 29918, 978, 29892, 286, 29889, 978, 29892, 1583, 29889, 978, 8443, 13, 30004, 13, 4706, 1583, 29889, 29886, 1144, 29961, 12687, 29918, 978, 1822, 3137, 29918, 6915, 29889, 4397, 29898, 6915, 8443, 13, 4706, 4511, 29889, 3137, 29918, 6915, 29889, 4397, 29898, 1311, 8443, 13, 30004, 13, 1678, 822, 788, 29918, 3207, 29898, 1311, 29892, 1828, 29892, 995, 1125, 30004, 13, 4706, 4974, 1828, 297, 1583, 29889, 3560, 29918, 5453, 29889, 7529, 29889, 8149, 3285, 525, 2392, 29901, 1828, 313, 29995, 29879, 29897, 947, 1333, 1863, 297, 3883, 313, 29995, 29879, 16029, 1273, 313, 3207, 29892, 1583, 29889, 3560, 29918, 5453, 29889, 978, 8443, 13, 4706, 1583, 29889, 7529, 29898, 3207, 29897, 353, 995, 30004, 13, 30004, 13, 29937, 268, 822, 4770, 1837, 12035, 1311, 29892, 916, 1125, 30004, 13, 29937, 308, 5186, 353, 5852, 30004, 13, 29937, 308, 565, 313, 1333, 1583, 29889, 978, 1275, 916, 29889, 978, 29897, 470, 313, 1333, 1583, 29889, 3560, 29918, 5453, 29889, 978, 1275, 916, 29889, 3560, 29918, 5453, 29889, 978, 29897, 470, 313, 1333, 1583, 29889, 6207, 29918, 5453, 29889, 978, 1275, 916, 29889, 6207, 29918, 5453, 29889, 978, 1125, 30004, 13, 29937, 632, 5186, 353, 7700, 30004, 13, 29937, 308, 565, 451, 4770, 1837, 29918, 8977, 12035, 1311, 29889, 29886, 1144, 29892, 916, 29889, 29886, 1144, 1125, 30004, 13, 29937, 632, 5186, 353, 7700, 30004, 13, 29937, 6756, 13, 29937, 308, 565, 451, 5186, 29901, 30004, 13, 29937, 632, 1596, 525, 2392, 29901, 8871, 313, 29995, 29879, 2804, 1273, 29879, 29897, 1016, 327, 1993, 29915, 1273, 313, 1311, 29892, 916, 8443, 13, 29937, 6756, 13, 29937, 308, 736, 5186, 30004, 13, 30004, 13, 1990, 7787, 29918, 29873, 29901, 30004, 13, 1678, 525, 16121, 770, 363, 8014, 29914, 637, 29914, 12687, 29915, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 1125, 30004, 13, 4706, 1583, 29889, 978, 353, 1024, 30004, 13, 4706, 1583, 29889, 3137, 29918, 6915, 353, 1051, 26471, 13, 30004, 13, 1990, 8014, 29918, 29873, 29898, 1212, 29918, 29873, 1125, 30004, 13, 1678, 525, 22376, 297, 3883, 29892, 4511, 304, 7463, 12534, 29915, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 29892, 3847, 29918, 5453, 1125, 30004, 13, 4706, 7787, 29918, 29873, 17255, 2344, 12035, 1311, 29892, 1024, 8443, 13, 4706, 1583, 29889, 3560, 29918, 5453, 353, 3847, 29918, 5453, 30004, 13, 4706, 1583, 29889, 3137, 29918, 12963, 262, 353, 1051, 26471, 13, 4706, 1583, 29889, 3137, 29918, 12963, 449, 353, 1051, 26471, 13, 30004, 13, 1990, 2011, 29918, 29873, 29898, 1212, 29918, 29873, 1125, 30004, 13, 1678, 525, 637, 310, 3883, 29892, 4511, 304, 7463, 12534, 29915, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 29892, 3847, 29918, 5453, 29892, 5305, 1125, 30004, 13, 4706, 7787, 29918, 29873, 17255, 2344, 12035, 1311, 29892, 1024, 8443, 13, 4706, 1583, 29889, 3560, 29918, 5453, 353, 3847, 29918, 5453, 30004, 13, 4706, 4974, 5305, 297, 525, 2080, 1962, 21000, 8684, 742, 5305, 30004, 13, 4706, 1583, 29889, 20845, 353, 5305, 30004, 13, 4706, 1583, 29889, 8159, 29918, 978, 353, 14210, 29879, 29889, 29995, 29879, 29915, 1273, 313, 1311, 29889, 3560, 29918, 5453, 29889, 978, 29892, 1583, 29889, 978, 8443, 13, 30004, 13, 29937, 268, 822, 4770, 1837, 12035, 1311, 29892, 916, 1125, 30004, 13, 29937, 308, 565, 313, 1333, 1583, 29889, 978, 1275, 916, 29889, 978, 29897, 470, 313, 1333, 1583, 29889, 3560, 29918, 5453, 29889, 978, 1275, 916, 29889, 3560, 29918, 5453, 29889, 978, 29897, 470, 313, 1333, 1583, 29889, 20845, 1275, 916, 29889, 20845, 1125, 30004, 13, 29937, 632, 1596, 525, 2392, 29901, 16169, 313, 29995, 29879, 2804, 1273, 29879, 29897, 1016, 327, 1993, 29915, 1273, 313, 1311, 29892, 916, 8443, 13, 29937, 632, 736, 7700, 30004, 13, 29937, 308, 1683, 29901, 30004, 13, 29937, 632, 736, 5852, 30004, 13, 30004, 13, 1990, 12534, 29918, 29873, 29898, 637, 29918, 29873, 1125, 30004, 13, 1678, 525, 12687, 310, 2777, 29892, 4511, 304, 7029, 2011, 29914, 22376, 29915, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 5835, 29918, 637, 29892, 3847, 29918, 8758, 1125, 30004, 13, 4706, 7787, 29918, 29873, 17255, 2344, 12035, 1311, 29892, 5835, 29918, 637, 29889, 978, 8443, 13, 4706, 1583, 29889, 6207, 29918, 637, 353, 5835, 29918, 637, 30004, 13, 4706, 1583, 29889, 3560, 29918, 8758, 353, 3847, 29918, 8758, 30004, 13, 30004, 13, 4706, 1583, 29889, 8159, 29918, 978, 353, 14210, 29879, 29889, 29995, 29879, 29889, 29995, 29879, 29915, 1273, 313, 1311, 29889, 3560, 29918, 8758, 29889, 3560, 29918, 5453, 29889, 978, 29892, 1583, 29889, 3560, 29918, 8758, 29889, 978, 29892, 1583, 29889, 978, 8443, 13, 30004, 13, 29937, 268, 822, 4770, 1837, 12035, 1311, 29892, 916, 1125, 30004, 13, 29937, 308, 565, 313, 1333, 1583, 29889, 978, 1275, 916, 29889, 978, 29897, 470, 313, 1333, 1583, 29889, 6207, 29918, 637, 29889, 978, 1275, 916, 29889, 6207, 29918, 637, 29889, 978, 29897, 470, 313, 1333, 1583, 29889, 3560, 29918, 8758, 29889, 978, 1275, 916, 29889, 3560, 29918, 8758, 29889, 978, 1125, 30004, 13, 29937, 632, 1596, 525, 2392, 29901, 282, 1144, 313, 29995, 29879, 2804, 1273, 29879, 29897, 1016, 327, 1993, 29915, 1273, 313, 1311, 29892, 916, 8443, 13, 29937, 632, 736, 7700, 30004, 13, 29937, 308, 1683, 29901, 30004, 13, 29937, 632, 736, 1565, 30004, 13, 30004, 13, 13383, 13383, 13383, 13383, 30004, 13, 29937, 7252, 29871, 29906, 2874, 29914, 5453, 30004, 13, 13383, 13383, 13383, 13383, 30004, 13, 30004, 13, 1753, 4770, 1837, 29918, 8977, 12035, 8977, 29896, 29892, 9657, 29906, 1125, 30004, 13, 1678, 565, 313, 2435, 29898, 842, 29898, 8977, 29896, 29889, 8149, 3101, 6228, 731, 29898, 8977, 29906, 29889, 8149, 22130, 1405, 29871, 29900, 1125, 30004, 13, 4706, 736, 7700, 30004, 13, 30004, 13, 1678, 363, 1820, 297, 9657, 29896, 29889, 8149, 7295, 30004, 13, 4706, 565, 451, 313, 8977, 29896, 29961, 1989, 29962, 1275, 9657, 29906, 29961, 637, 29918, 978, 29962, 1125, 30004, 13, 9651, 736, 7700, 30004, 13, 30004, 13, 1678, 736, 5852, 30004, 13, 2 ]
src/mcedit2/widgets/infopanel.py	elcarrion06/mcedit2	673	34617	""" ${NAME} """ from __future__ import absolute_import, division, print_function, unicode_literals import logging import time import weakref from PySide import QtGui from mcedit2.widgets.layout import Column log = logging.getLogger(__name__) class InfoPanel(QtGui.QWidget): def __init__(self, attrs, signals, kwargs): """ Create a widget that displays a list of an object's selected attributes, named in `attrs`. The widget updates itself whenever one of the object's signals named in `signals` is emitted. If an attribute named in `attrs` is not found on `object`, the InfoPanel instance is checked for an attribute of the same name and it is used instead if found. :type attrs: list of attribute names to display :type signals: list of signals to monitor :param kwargs: args for QWidget :type kwargs: """ QtGui.QWidget.__init__(self, kwargs) self.attrs = attrs self.signals = signals self.lastUpdate = time.time() self.labels = [QtGui.QLabel() for _ in attrs] self.setLayout(Column(*self.labels)) def updateLabels(self): now = time.time() if now < self.lastUpdate + 0.25: return self.lastUpdate = now if self.object: for attr, label in zip(self.attrs, self.labels): try: value = getattr(self.object, attr) except AttributeError: # catches unrelated AttributeErrors in property getters... try: value = getattr(self, attr) except AttributeError: log.exception("Error updating info panel.") value = getattr(self, attr, "Attribute not found") label.setText("%s: %s" % (attr, value)) _object = None @property def object(self): return self._object() @object.setter def object(self, value): self._object = weakref.ref(value) self.updateLabels() for signal in self.signals: signal = getattr(self.object, signal, None) if signal: signal.connect(self.updateLabels) setObject = object.setter	[ 1, 9995, 13, 1678, 6435, 5813, 29913, 13, 15945, 29908, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 29892, 8542, 29892, 1596, 29918, 2220, 29892, 29104, 29918, 20889, 1338, 13, 5215, 12183, 13, 5215, 931, 13, 5215, 8062, 999, 13, 13, 3166, 10772, 23908, 1053, 14705, 28707, 13, 13, 3166, 286, 1133, 277, 29906, 29889, 8030, 29879, 29889, 2680, 1053, 12481, 13, 13, 13, 1188, 353, 12183, 29889, 657, 16363, 22168, 978, 1649, 29897, 13, 13, 1990, 22140, 7490, 29898, 17303, 28707, 29889, 29984, 8801, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 12421, 29879, 29892, 18470, 29892, 3579, 19290, 1125, 13, 4706, 9995, 13, 4706, 6204, 263, 11109, 393, 14423, 263, 1051, 310, 385, 1203, 29915, 29879, 4629, 8393, 29892, 4257, 297, 421, 5552, 29879, 1412, 13, 4706, 450, 11109, 11217, 3528, 10940, 697, 310, 278, 1203, 29915, 29879, 18470, 4257, 297, 421, 4530, 1338, 29952, 338, 953, 4430, 29889, 13, 13, 4706, 960, 385, 5352, 4257, 297, 421, 5552, 29879, 29952, 338, 451, 1476, 373, 421, 3318, 1673, 278, 22140, 7490, 2777, 338, 7120, 363, 13, 4706, 385, 5352, 310, 278, 1021, 1024, 322, 372, 338, 1304, 2012, 565, 1476, 29889, 13, 13, 4706, 584, 1853, 12421, 29879, 29901, 1051, 310, 5352, 2983, 304, 2479, 13, 4706, 584, 1853, 18470, 29901, 1051, 310, 18470, 304, 11819, 13, 4706, 584, 3207, 9049, 5085, 29901, 6389, 363, 660, 8801, 13, 4706, 584, 1853, 9049, 5085, 29901, 13, 4706, 9995, 13, 4706, 14705, 28707, 29889, 29984, 8801, 17255, 2344, 12035, 1311, 29892, 3579, 19290, 29897, 13, 4706, 1583, 29889, 5552, 29879, 353, 12421, 29879, 13, 4706, 1583, 29889, 4530, 1338, 353, 18470, 13, 4706, 1583, 29889, 4230, 6422, 353, 931, 29889, 2230, 580, 13, 4706, 1583, 29889, 21134, 353, 518, 17303, 28707, 29889, 2239, 1107, 580, 363, 903, 297, 12421, 29879, 29962, 13, 13, 4706, 1583, 29889, 842, 3453, 29898, 4409, 10456, 1311, 29889, 21134, 876, 13, 13, 1678, 822, 2767, 4775, 29879, 29898, 1311, 1125, 13, 4706, 1286, 353, 931, 29889, 2230, 580, 13, 4706, 565, 1286, 529, 1583, 29889, 4230, 6422, 718, 29871, 29900, 29889, 29906, 29945, 29901, 13, 9651, 736, 13, 4706, 1583, 29889, 4230, 6422, 353, 1286, 13, 4706, 565, 1583, 29889, 3318, 29901, 13, 9651, 363, 12421, 29892, 3858, 297, 14319, 29898, 1311, 29889, 5552, 29879, 29892, 1583, 29889, 21134, 1125, 13, 18884, 1018, 29901, 13, 462, 1678, 995, 353, 679, 5552, 29898, 1311, 29889, 3318, 29892, 12421, 29897, 13, 18884, 5174, 23833, 2392, 29901, 29871, 396, 4380, 267, 443, 12817, 23833, 22463, 297, 2875, 679, 2153, 856, 13, 462, 1678, 1018, 29901, 13, 462, 4706, 995, 353, 679, 5552, 29898, 1311, 29892, 12421, 29897, 13, 462, 1678, 5174, 23833, 2392, 29901, 13, 462, 4706, 1480, 29889, 11739, 703, 2392, 13271, 5235, 9451, 23157, 13, 462, 4706, 995, 353, 679, 5552, 29898, 1311, 29892, 12421, 29892, 376, 6708, 451, 1476, 1159, 13, 18884, 3858, 29889, 12038, 11702, 29879, 29901, 1273, 29879, 29908, 1273, 313, 5552, 29892, 995, 876, 13, 13, 1678, 903, 3318, 353, 6213, 13, 1678, 732, 6799, 13, 1678, 822, 1203, 29898, 1311, 1125, 13, 4706, 736, 1583, 3032, 3318, 580, 13, 13, 1678, 732, 3318, 29889, 842, 357, 13, 1678, 822, 1203, 29898, 1311, 29892, 995, 1125, 13, 4706, 1583, 3032, 3318, 353, 8062, 999, 29889, 999, 29898, 1767, 29897, 13, 4706, 1583, 29889, 5504, 4775, 29879, 580, 13, 13, 4706, 363, 7182, 297, 1583, 29889, 4530, 1338, 29901, 13, 9651, 7182, 353, 679, 5552, 29898, 1311, 29889, 3318, 29892, 7182, 29892, 6213, 29897, 13, 9651, 565, 7182, 29901, 13, 18884, 7182, 29889, 6915, 29898, 1311, 29889, 5504, 4775, 29879, 29897, 13, 13, 1678, 731, 2061, 353, 1203, 29889, 842, 357, 13, 2 ]
tests/test_monitor_sys.py	CFMTech/monitor-server-api	3	177446	<gh_stars>1-10 # SPDX-FileCopyrightText: 2021 <NAME> <<EMAIL>> # # SPDX-License-Identifier: MIT from http import HTTPStatus from monitor_server import SERVER import json def test_index(monitor, gen): c = gen.new_context() monitor.post_contexts_v1(c) s1, s2, s3 = gen.new_session(), gen.new_session(), gen.new_session() for s in (s1, s2, s3): monitor.post_sessions_v1(s) for i in range(100): m = gen.new_metric(c, s) monitor.post_metrics_v1(m) index = monitor.client.get('/index.html') assert index.status_code == HTTPStatus.OK # Strip parts, and remove '</p>' at the end tmp = index.data.decode().split('\n') s = ' '.join([i.strip() for i in index.data.decode().split('\n')[100:115]])[:-4] assert '>300<' in s assert '>3<' in s assert '>1<' in s def test_pager_get_last(monitor, gen): c = gen.new_context() monitor.post_contexts_v1(c) s1, s2, s3 = gen.new_session(), gen.new_session(), gen.new_session() for s in (s1, s2, s3): monitor.post_sessions_v1(s) for i in range(100): m = gen.new_metric(c, s) monitor.post_metrics_v1(m) resp = monitor.client.get('/api/v1/metrics/?page=-1') assert resp.status_code == HTTPStatus.OK assert 'next_url' not in resp.json assert 'prev_url' in resp.json resp = monitor.client.get('/api/v1/metrics/', json=dict(page=-1)) assert resp.status_code == HTTPStatus.OK assert 'next_url' not in resp.json assert 'prev_url' in resp.json def test_pager_page_info(monitor, gen): c = gen.new_context() monitor.post_contexts_v1(c) s1, s2, s3 = gen.new_session(), gen.new_session(), gen.new_session() for s in (s1, s2, s3): monitor.post_sessions_v1(s) for i in range(100): m = gen.new_metric(c, s) monitor.post_metrics_v1(m) resp = monitor.client.get('/api/v1/metrics/?page=-1') assert resp.status_code == HTTPStatus.OK assert 'next_url' not in resp.json assert 'prev_url' in resp.json resp = monitor.client.get('/api/v1/metrics/?page=-2') assert resp.status_code == HTTPStatus.OK assert 'next_url' in resp.json assert 'prev_url' in resp.json resp = monitor.client.get('/api/v1/metrics/') assert resp.status_code == HTTPStatus.OK assert 'next_url' in resp.json assert 'prev_url' not in resp.json def test_docs_are_valid(): assert dict(error="Unable to render schema") != SERVER.API_V1.__schema__	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 10937, 29928, 29990, 29899, 2283, 11882, 1266, 1626, 29901, 29871, 29906, 29900, 29906, 29896, 529, 5813, 29958, 3532, 26862, 6227, 6778, 13, 29937, 13, 29937, 10937, 29928, 29990, 29899, 29931, 293, 1947, 29899, 12889, 29901, 341, 1806, 13, 13, 3166, 1732, 1053, 7331, 5709, 13, 3166, 11819, 29918, 2974, 1053, 26996, 5348, 13, 5215, 4390, 13, 13, 13, 1753, 1243, 29918, 2248, 29898, 3712, 2105, 29892, 2531, 1125, 13, 1678, 274, 353, 2531, 29889, 1482, 29918, 4703, 580, 13, 1678, 11819, 29889, 2490, 29918, 4703, 29879, 29918, 29894, 29896, 29898, 29883, 29897, 13, 1678, 269, 29896, 29892, 269, 29906, 29892, 269, 29941, 353, 2531, 29889, 1482, 29918, 7924, 3285, 2531, 29889, 1482, 29918, 7924, 3285, 2531, 29889, 1482, 29918, 7924, 580, 13, 1678, 363, 269, 297, 313, 29879, 29896, 29892, 269, 29906, 29892, 269, 29941, 1125, 13, 4706, 11819, 29889, 2490, 29918, 29879, 10964, 29918, 29894, 29896, 29898, 29879, 29897, 13, 4706, 363, 474, 297, 3464, 29898, 29896, 29900, 29900, 1125, 13, 9651, 286, 353, 2531, 29889, 1482, 29918, 16414, 29898, 29883, 29892, 269, 29897, 13, 9651, 11819, 29889, 2490, 29918, 2527, 10817, 29918, 29894, 29896, 29898, 29885, 29897, 13, 1678, 2380, 353, 11819, 29889, 4645, 29889, 657, 11219, 2248, 29889, 1420, 1495, 13, 1678, 4974, 2380, 29889, 4882, 29918, 401, 1275, 7331, 5709, 29889, 8949, 13, 1678, 396, 624, 6472, 5633, 29892, 322, 3349, 525, 829, 29886, 16299, 472, 278, 1095, 13, 1678, 13128, 353, 2380, 29889, 1272, 29889, 13808, 2141, 5451, 28909, 29876, 1495, 13, 1678, 269, 353, 525, 15300, 7122, 4197, 29875, 29889, 17010, 580, 363, 474, 297, 2380, 29889, 1272, 29889, 13808, 2141, 5451, 28909, 29876, 29861, 29896, 29900, 29900, 29901, 29896, 29896, 29945, 24960, 7503, 29899, 29946, 29962, 13, 1678, 4974, 525, 29958, 29941, 29900, 29900, 26717, 297, 269, 13, 1678, 4974, 525, 29958, 29941, 26717, 297, 269, 13, 1678, 4974, 525, 29958, 29896, 26717, 297, 269, 13, 13, 13, 1753, 1243, 29918, 29886, 1875, 29918, 657, 29918, 4230, 29898, 3712, 2105, 29892, 2531, 1125, 13, 1678, 274, 353, 2531, 29889, 1482, 29918, 4703, 580, 13, 1678, 11819, 29889, 2490, 29918, 4703, 29879, 29918, 29894, 29896, 29898, 29883, 29897, 13, 1678, 269, 29896, 29892, 269, 29906, 29892, 269, 29941, 353, 2531, 29889, 1482, 29918, 7924, 3285, 2531, 29889, 1482, 29918, 7924, 3285, 2531, 29889, 1482, 29918, 7924, 580, 13, 1678, 363, 269, 297, 313, 29879, 29896, 29892, 269, 29906, 29892, 269, 29941, 1125, 13, 4706, 11819, 29889, 2490, 29918, 29879, 10964, 29918, 29894, 29896, 29898, 29879, 29897, 13, 4706, 363, 474, 297, 3464, 29898, 29896, 29900, 29900, 1125, 13, 9651, 286, 353, 2531, 29889, 1482, 29918, 16414, 29898, 29883, 29892, 269, 29897, 13, 9651, 11819, 29889, 2490, 29918, 2527, 10817, 29918, 29894, 29896, 29898, 29885, 29897, 13, 1678, 4613, 353, 11819, 29889, 4645, 29889, 657, 11219, 2754, 29914, 29894, 29896, 29914, 2527, 10817, 13401, 3488, 10457, 29896, 1495, 13, 1678, 4974, 4613, 29889, 4882, 29918, 401, 1275, 7331, 5709, 29889, 8949, 13, 1678, 4974, 525, 4622, 29918, 2271, 29915, 451, 297, 4613, 29889, 3126, 13, 1678, 4974, 525, 16304, 29918, 2271, 29915, 297, 4613, 29889, 3126, 13, 1678, 4613, 353, 11819, 29889, 4645, 29889, 657, 11219, 2754, 29914, 29894, 29896, 29914, 2527, 10817, 29914, 742, 4390, 29922, 8977, 29898, 3488, 10457, 29896, 876, 13, 1678, 4974, 4613, 29889, 4882, 29918, 401, 1275, 7331, 5709, 29889, 8949, 13, 1678, 4974, 525, 4622, 29918, 2271, 29915, 451, 297, 4613, 29889, 3126, 13, 1678, 4974, 525, 16304, 29918, 2271, 29915, 297, 4613, 29889, 3126, 13, 13, 13, 1753, 1243, 29918, 29886, 1875, 29918, 3488, 29918, 3888, 29898, 3712, 2105, 29892, 2531, 1125, 13, 1678, 274, 353, 2531, 29889, 1482, 29918, 4703, 580, 13, 1678, 11819, 29889, 2490, 29918, 4703, 29879, 29918, 29894, 29896, 29898, 29883, 29897, 13, 1678, 269, 29896, 29892, 269, 29906, 29892, 269, 29941, 353, 2531, 29889, 1482, 29918, 7924, 3285, 2531, 29889, 1482, 29918, 7924, 3285, 2531, 29889, 1482, 29918, 7924, 580, 13, 1678, 363, 269, 297, 313, 29879, 29896, 29892, 269, 29906, 29892, 269, 29941, 1125, 13, 4706, 11819, 29889, 2490, 29918, 29879, 10964, 29918, 29894, 29896, 29898, 29879, 29897, 13, 4706, 363, 474, 297, 3464, 29898, 29896, 29900, 29900, 1125, 13, 9651, 286, 353, 2531, 29889, 1482, 29918, 16414, 29898, 29883, 29892, 269, 29897, 13, 9651, 11819, 29889, 2490, 29918, 2527, 10817, 29918, 29894, 29896, 29898, 29885, 29897, 13, 1678, 4613, 353, 11819, 29889, 4645, 29889, 657, 11219, 2754, 29914, 29894, 29896, 29914, 2527, 10817, 13401, 3488, 10457, 29896, 1495, 13, 1678, 4974, 4613, 29889, 4882, 29918, 401, 1275, 7331, 5709, 29889, 8949, 13, 1678, 4974, 525, 4622, 29918, 2271, 29915, 451, 297, 4613, 29889, 3126, 13, 1678, 4974, 525, 16304, 29918, 2271, 29915, 297, 4613, 29889, 3126, 13, 1678, 4613, 353, 11819, 29889, 4645, 29889, 657, 11219, 2754, 29914, 29894, 29896, 29914, 2527, 10817, 13401, 3488, 10457, 29906, 1495, 13, 1678, 4974, 4613, 29889, 4882, 29918, 401, 1275, 7331, 5709, 29889, 8949, 13, 1678, 4974, 525, 4622, 29918, 2271, 29915, 297, 4613, 29889, 3126, 13, 1678, 4974, 525, 16304, 29918, 2271, 29915, 297, 4613, 29889, 3126, 13, 1678, 4613, 353, 11819, 29889, 4645, 29889, 657, 11219, 2754, 29914, 29894, 29896, 29914, 2527, 10817, 29914, 1495, 13, 1678, 4974, 4613, 29889, 4882, 29918, 401, 1275, 7331, 5709, 29889, 8949, 13, 1678, 4974, 525, 4622, 29918, 2271, 29915, 297, 4613, 29889, 3126, 13, 1678, 4974, 525, 16304, 29918, 2271, 29915, 451, 297, 4613, 29889, 3126, 13, 13, 13, 1753, 1243, 29918, 2640, 29918, 598, 29918, 3084, 7295, 13, 1678, 4974, 9657, 29898, 2704, 543, 2525, 519, 304, 4050, 10938, 1159, 2804, 26996, 5348, 29889, 8787, 29918, 29963, 29896, 17255, 11010, 1649, 13, 2 ]
config.py	alcaras/mplus.subcreation.net	31	105563	# raider.io api configuration RIO_MAX_PAGE = 5 # need to update in templates/stats_table.html # need to update in templates/compositions.html # need to update in templates/navbar.html RIO_SEASON = "season-sl-2" WCL_SEASON = 2 WCL_PARTITION = 1 # config RAID_NAME = "Sanctum of Domination" # late in the season, set this at 16 # early in the seaseon, set this at 10 MIN_KEY_LEVEL = 16 # to generate a tier list based on heroic week data MAX_RAID_DIFFICULTY = "Mythic"	[ 1, 29871, 13, 13, 29937, 1153, 1241, 29889, 601, 7882, 5285, 13, 3960, 29949, 29918, 12648, 29918, 7228, 1692, 353, 29871, 29945, 13, 13, 29937, 817, 304, 2767, 297, 17475, 29914, 16202, 29918, 2371, 29889, 1420, 13, 29937, 817, 304, 2767, 297, 17475, 29914, 22410, 2187, 29889, 1420, 13, 29937, 817, 304, 2767, 297, 17475, 29914, 21890, 29889, 1420, 13, 3960, 29949, 29918, 1660, 29909, 3094, 353, 376, 25682, 29899, 2536, 29899, 29906, 29908, 29871, 13, 13, 29956, 6154, 29918, 1660, 29909, 3094, 353, 29871, 29906, 13, 29956, 6154, 29918, 26092, 22122, 353, 29871, 29896, 13, 13, 29937, 2295, 13, 4717, 1367, 29918, 5813, 353, 376, 22509, 312, 398, 310, 7809, 3381, 29908, 13, 13, 29937, 5683, 297, 278, 4259, 29892, 731, 445, 472, 29871, 29896, 29953, 13, 29937, 4688, 297, 278, 409, 559, 265, 29892, 731, 445, 472, 29871, 29896, 29900, 13, 16173, 29918, 10818, 29918, 1307, 29963, 6670, 353, 29871, 29896, 29953, 13, 13, 13, 29937, 304, 5706, 263, 26485, 1051, 2729, 373, 13444, 293, 4723, 848, 13, 12648, 29918, 4717, 1367, 29918, 4571, 4198, 2965, 8647, 29979, 353, 376, 29924, 1541, 293, 29908, 13, 2 ]
Image Segmtation on COCO Dataset/keras_segmentation/data_utils/data_loader.py	joykour/COCO-Dataset-2018-Stuff-Segmentation-Challenge	1	37322	import numpy as np import cv2 import glob import itertools import os from tqdm import tqdm from ..models.config import IMAGE_ORDERING from .augmentation import augment_seg import random random.seed(0) class_colors = [ ( random.randint(0,255),random.randint(0,255),random.randint(0,255) ) for _ in range(5000) ] def get_pairs_from_paths( images_path , segs_path ): images = glob.glob( os.path.join(images_path,".png") ) + glob.glob( os.path.join(images_path,".jpg") ) + glob.glob( os.path.join(images_path,".jpeg") ) segmentations = glob.glob( os.path.join(segs_path,".png") ) segmentations_d = dict( zip(segmentations,segmentations )) ret = [] for im in images: seg_bnme = os.path.basename(im).replace(".jpg" , ".png").replace(".jpeg" , ".png") seg = os.path.join( segs_path , seg_bnme ) #this line i have commented as error was showing #assert ( seg in segmentations_d ), (im + " is present in "+images_path +" but "+seg_bnme+" is not found in "+segs_path + " . Make sure annotation image are in .png" ) ret.append((im , seg) ) return ret def get_image_arr( path , width , height , imgNorm="sub_mean" , odering='channels_first' ): if type( path ) is np.ndarray: img = path else: img = cv2.imread(path, 1) if imgNorm == "sub_and_divide": img = np.float32(cv2.resize(img, ( width , height ))) / 127.5 - 1 elif imgNorm == "sub_mean": img = cv2.resize(img, ( width , height )) img = img.astype(np.float32) img[:,:,0] -= 103.939 img[:,:,1] -= 116.779 img[:,:,2] -= 123.68 img = img[ : , : , ::-1 ] elif imgNorm == "divide": img = cv2.resize(img, ( width , height )) img = img.astype(np.float32) img = img/255.0 if odering == 'channels_first': img = np.rollaxis(img, 2, 0) return img def get_segmentation_arr( path , nClasses , width , height , no_reshape=False ): seg_labels = np.zeros(( height , width , nClasses )) if type( path ) is np.ndarray: img = path else: img = cv2.imread(path, 1) img = cv2.resize(img, ( width , height ) , interpolation=cv2.INTER_NEAREST ) img = img[:, : , 0] for c in range(nClasses): seg_labels[: , : , c ] = (img == c ).astype(int) if no_reshape: return seg_labels seg_labels = np.reshape(seg_labels, ( width*height , nClasses )) return seg_labels def verify_segmentation_dataset( images_path , segs_path , n_classes ): img_seg_pairs = get_pairs_from_paths( images_path , segs_path ) assert len(img_seg_pairs)>0 , "Dataset looks empty or path is wrong " for im_fn , seg_fn in tqdm(img_seg_pairs) : img = cv2.imread( im_fn ) seg = cv2.imread( seg_fn ) assert ( img.shape[0]==seg.shape[0] and img.shape[1]==seg.shape[1] ) , "The size of image and the annotation does not match or they are corrupt "+ im_fn + " " + seg_fn assert ( np.max(seg[:,:,0]) < n_classes) , "The pixel values of seg image should be from 0 to "+str(n_classes-1) + " . Found pixel value "+str(np.max(seg[:,:,0])) print("Dataset verified! ") def image_segmentation_generator( images_path , segs_path , batch_size, n_classes , input_height , input_width , output_height , output_width , do_augment=False ): img_seg_pairs = get_pairs_from_paths( images_path , segs_path ) random.shuffle( img_seg_pairs ) zipped = itertools.cycle( img_seg_pairs ) while True: X = [] Y = [] for _ in range( batch_size) : im , seg = next(zipped) im = cv2.imread(im , 1 ) seg = cv2.imread(seg , 1 ) if do_augment: img , seg[:,:,0] = augment_seg( img , seg[:,:,0] ) X.append( get_image_arr(im , input_width , input_height ,odering=IMAGE_ORDERING ) ) Y.append( get_segmentation_arr( seg , n_classes , output_width , output_height ) ) yield np.array(X) , np.array(Y)	[ 1, 29871, 13, 5215, 12655, 408, 7442, 13, 5215, 13850, 29906, 13, 5215, 13149, 13, 5215, 4256, 8504, 13, 5215, 2897, 13, 3166, 260, 29939, 18933, 1053, 260, 29939, 18933, 13, 13, 3166, 6317, 9794, 29889, 2917, 1053, 306, 1529, 1692, 29918, 22364, 4214, 13, 3166, 869, 2987, 358, 362, 1053, 18765, 29918, 10199, 13, 5215, 4036, 13, 13, 8172, 29889, 26776, 29898, 29900, 29897, 13, 1990, 29918, 27703, 353, 518, 29871, 313, 4036, 29889, 9502, 524, 29898, 29900, 29892, 29906, 29945, 29945, 511, 8172, 29889, 9502, 524, 29898, 29900, 29892, 29906, 29945, 29945, 511, 8172, 29889, 9502, 524, 29898, 29900, 29892, 29906, 29945, 29945, 29897, 259, 1723, 363, 903, 297, 3464, 29898, 29945, 29900, 29900, 29900, 29897, 29871, 4514, 13, 13, 13, 13, 13, 1753, 679, 29918, 29886, 7121, 29918, 3166, 29918, 24772, 29898, 4558, 29918, 2084, 1919, 2377, 29879, 29918, 2084, 29871, 1125, 13, 12, 8346, 353, 13149, 29889, 23705, 29898, 2897, 29889, 2084, 29889, 7122, 29898, 8346, 29918, 2084, 1699, 10521, 2732, 1159, 29871, 1723, 718, 13149, 29889, 23705, 29898, 2897, 29889, 2084, 29889, 7122, 29898, 8346, 29918, 2084, 1699, 10521, 6173, 1159, 29871, 1723, 718, 29871, 13149, 29889, 23705, 29898, 2897, 29889, 2084, 29889, 7122, 29898, 8346, 29918, 2084, 1699, 10521, 26568, 1159, 29871, 1723, 13, 12, 28192, 800, 29871, 353, 29871, 13149, 29889, 23705, 29898, 2897, 29889, 2084, 29889, 7122, 29898, 344, 3174, 29918, 2084, 1699, 10521, 2732, 1159, 29871, 1723, 1678, 13, 12, 13, 13, 12, 28192, 800, 29918, 29881, 353, 9657, 29898, 14319, 29898, 28192, 800, 29892, 28192, 800, 29871, 876, 13, 13, 12, 2267, 353, 5159, 13, 13, 12, 1454, 527, 297, 4558, 29901, 13, 12, 12, 10199, 29918, 11197, 1004, 353, 2897, 29889, 2084, 29889, 6500, 3871, 29898, 326, 467, 6506, 17350, 6173, 29908, 1919, 11393, 2732, 2564, 6506, 17350, 26568, 29908, 1919, 11393, 2732, 1159, 13, 12, 12, 10199, 353, 2897, 29889, 2084, 29889, 7122, 29898, 2377, 29879, 29918, 2084, 1919, 2377, 29918, 11197, 1004, 29871, 1723, 13, 18884, 396, 1366, 1196, 474, 505, 19952, 408, 1059, 471, 6445, 13, 12, 12, 29937, 9294, 313, 2377, 297, 10768, 800, 29918, 29881, 10353, 29871, 313, 326, 718, 376, 338, 2198, 297, 15691, 8346, 29918, 2084, 718, 29908, 541, 15691, 10199, 29918, 11197, 1004, 13578, 338, 451, 1476, 297, 15691, 344, 3174, 29918, 2084, 718, 376, 869, 8561, 1854, 17195, 1967, 526, 297, 869, 2732, 29908, 29871, 1723, 13, 12, 12, 2267, 29889, 4397, 3552, 326, 1919, 2377, 29897, 1723, 13, 13, 12, 2457, 3240, 13, 13, 13, 13, 13, 1753, 679, 29918, 3027, 29918, 2749, 29898, 2224, 1919, 2920, 1919, 3171, 1919, 10153, 29940, 555, 543, 1491, 29918, 12676, 29908, 1919, 4461, 292, 2433, 305, 12629, 29918, 4102, 29915, 29871, 1125, 13, 13, 13, 12, 361, 1134, 29898, 2224, 1723, 338, 7442, 29889, 299, 2378, 29901, 13, 12, 12, 2492, 353, 2224, 13, 12, 2870, 29901, 13, 12, 12, 2492, 353, 13850, 29906, 29889, 326, 949, 29898, 2084, 29892, 29871, 29896, 29897, 13, 13, 12, 361, 10153, 29940, 555, 1275, 376, 1491, 29918, 392, 29918, 4563, 680, 1115, 13, 12, 12, 2492, 353, 7442, 29889, 7411, 29941, 29906, 29898, 11023, 29906, 29889, 21476, 29898, 2492, 29892, 313, 2920, 1919, 3171, 29871, 4961, 847, 29871, 29896, 29906, 29955, 29889, 29945, 448, 29871, 29896, 13, 12, 23681, 10153, 29940, 555, 1275, 376, 1491, 29918, 12676, 1115, 13, 12, 12, 2492, 353, 13850, 29906, 29889, 21476, 29898, 2492, 29892, 313, 2920, 1919, 3171, 29871, 876, 13, 12, 12, 2492, 353, 10153, 29889, 579, 668, 29898, 9302, 29889, 7411, 29941, 29906, 29897, 13, 12, 12, 2492, 7503, 29892, 29901, 29892, 29900, 29962, 22361, 29871, 29896, 29900, 29941, 29889, 29929, 29941, 29929, 13, 12, 12, 2492, 7503, 29892, 29901, 29892, 29896, 29962, 22361, 29871, 29896, 29896, 29953, 29889, 29955, 29955, 29929, 13, 12, 12, 2492, 7503, 29892, 29901, 29892, 29906, 29962, 22361, 29871, 29896, 29906, 29941, 29889, 29953, 29947, 13, 12, 12, 2492, 353, 10153, 29961, 584, 1919, 584, 1919, 4761, 29899, 29896, 4514, 13, 12, 23681, 10153, 29940, 555, 1275, 376, 4563, 680, 1115, 13, 12, 12, 2492, 353, 13850, 29906, 29889, 21476, 29898, 2492, 29892, 313, 2920, 1919, 3171, 29871, 876, 13, 12, 12, 2492, 353, 10153, 29889, 579, 668, 29898, 9302, 29889, 7411, 29941, 29906, 29897, 13, 12, 12, 2492, 353, 10153, 29914, 29906, 29945, 29945, 29889, 29900, 13, 13, 12, 361, 4461, 292, 1275, 525, 305, 12629, 29918, 4102, 2396, 13, 12, 12, 2492, 353, 7442, 29889, 1467, 433, 11497, 29898, 2492, 29892, 29871, 29906, 29892, 29871, 29900, 29897, 13, 12, 2457, 10153, 13, 13, 13, 13, 13, 13, 13, 1753, 679, 29918, 28192, 362, 29918, 2749, 29898, 2224, 1919, 302, 27403, 1919, 29871, 2920, 1919, 3171, 1919, 694, 29918, 690, 14443, 29922, 8824, 29871, 1125, 13, 13, 12, 10199, 29918, 21134, 353, 7442, 29889, 3298, 359, 3552, 29871, 3171, 1919, 2920, 29871, 1919, 302, 27403, 29871, 876, 13, 12, 12, 13, 12, 361, 1134, 29898, 2224, 1723, 338, 7442, 29889, 299, 2378, 29901, 13, 12, 12, 2492, 353, 2224, 13, 12, 2870, 29901, 13, 12, 12, 2492, 353, 13850, 29906, 29889, 326, 949, 29898, 2084, 29892, 29871, 29896, 29897, 13, 13, 12, 2492, 353, 13850, 29906, 29889, 21476, 29898, 2492, 29892, 313, 2920, 1919, 3171, 1723, 1919, 29694, 29922, 11023, 29906, 29889, 23845, 29918, 8186, 29909, 1525, 1254, 1723, 13, 12, 2492, 353, 10153, 7503, 29892, 584, 1919, 29871, 29900, 29962, 13, 13, 12, 1454, 274, 297, 3464, 29898, 29876, 27403, 1125, 13, 12, 12, 10199, 29918, 21134, 7503, 1919, 584, 1919, 274, 4514, 353, 313, 2492, 1275, 274, 13742, 579, 668, 29898, 524, 29897, 13, 13, 13, 12, 13, 12, 361, 694, 29918, 690, 14443, 29901, 13, 12, 12, 2457, 2377, 29918, 21134, 13, 13, 12, 10199, 29918, 21134, 353, 7442, 29889, 690, 14443, 29898, 10199, 29918, 21134, 29892, 313, 2920, 29930, 3545, 1919, 302, 27403, 29871, 876, 13, 12, 2457, 2377, 29918, 21134, 13, 13, 29871, 13, 13, 13, 1753, 11539, 29918, 28192, 362, 29918, 24713, 29898, 4558, 29918, 2084, 1919, 2377, 29879, 29918, 2084, 1919, 302, 29918, 13203, 29871, 1125, 13, 12, 13, 12, 2492, 29918, 10199, 29918, 29886, 7121, 353, 679, 29918, 29886, 7121, 29918, 3166, 29918, 24772, 29898, 4558, 29918, 2084, 1919, 2377, 29879, 29918, 2084, 1723, 13, 13, 12, 9294, 7431, 29898, 2492, 29918, 10199, 29918, 29886, 7121, 15410, 29900, 1919, 376, 16390, 24541, 3430, 4069, 470, 2224, 338, 2743, 376, 13, 12, 13, 12, 1454, 527, 29918, 9144, 1919, 2377, 29918, 9144, 297, 260, 29939, 18933, 29898, 2492, 29918, 10199, 29918, 29886, 7121, 29897, 584, 13, 12, 12, 2492, 353, 13850, 29906, 29889, 326, 949, 29898, 527, 29918, 9144, 1723, 13, 12, 12, 10199, 353, 13850, 29906, 29889, 326, 949, 29898, 2377, 29918, 9144, 1723, 13, 13, 12, 12, 9294, 313, 10153, 29889, 12181, 29961, 29900, 29962, 1360, 10199, 29889, 12181, 29961, 29900, 29962, 322, 10153, 29889, 12181, 29961, 29896, 29962, 1360, 10199, 29889, 12181, 29961, 29896, 29962, 1723, 1919, 376, 1576, 2159, 310, 1967, 322, 278, 17195, 947, 451, 1993, 470, 896, 526, 1034, 6685, 15691, 527, 29918, 9144, 718, 376, 376, 718, 2377, 29918, 9144, 13, 12, 12, 9294, 313, 7442, 29889, 3317, 29898, 10199, 7503, 29892, 29901, 29892, 29900, 2314, 529, 302, 29918, 13203, 29897, 1919, 376, 1576, 15526, 1819, 310, 2377, 1967, 881, 367, 515, 29871, 29900, 304, 15691, 710, 29898, 29876, 29918, 13203, 29899, 29896, 29897, 718, 376, 869, 7460, 15526, 995, 15691, 710, 29898, 9302, 29889, 3317, 29898, 10199, 7503, 29892, 29901, 29892, 29900, 12622, 13, 13, 12, 2158, 703, 16390, 24541, 26834, 29991, 16521, 13, 13, 13, 1753, 1967, 29918, 28192, 362, 29918, 27959, 29898, 4558, 29918, 2084, 1919, 2377, 29879, 29918, 2084, 1919, 29871, 9853, 29918, 2311, 29892, 29871, 302, 29918, 13203, 1919, 1881, 29918, 3545, 1919, 1881, 29918, 2103, 1919, 1962, 29918, 3545, 1919, 1962, 29918, 2103, 29871, 1919, 437, 29918, 2987, 358, 29922, 8824, 29871, 1125, 13, 12, 13, 13, 12, 2492, 29918, 10199, 29918, 29886, 7121, 353, 679, 29918, 29886, 7121, 29918, 3166, 29918, 24772, 29898, 4558, 29918, 2084, 1919, 2377, 29879, 29918, 2084, 1723, 13, 12, 8172, 29889, 845, 21897, 29898, 10153, 29918, 10199, 29918, 29886, 7121, 1723, 13, 12, 2526, 2986, 353, 4256, 8504, 29889, 23090, 29898, 10153, 29918, 10199, 29918, 29886, 7121, 29871, 1723, 13, 13, 12, 8000, 5852, 29901, 13, 12, 12, 29990, 353, 5159, 13, 12, 12, 29979, 353, 5159, 13, 12, 12, 1454, 903, 297, 3464, 29898, 9853, 29918, 2311, 29897, 584, 13, 12, 12, 12, 326, 1919, 2377, 353, 2446, 29898, 2526, 2986, 29897, 29871, 13, 13, 12, 12, 12, 326, 353, 13850, 29906, 29889, 326, 949, 29898, 326, 1919, 29871, 29896, 1723, 13, 12, 12, 12, 10199, 353, 13850, 29906, 29889, 326, 949, 29898, 10199, 1919, 29871, 29896, 1723, 13, 13, 12, 12, 12, 361, 437, 29918, 2987, 358, 29901, 13, 12, 12, 12, 12, 2492, 1919, 2377, 7503, 29892, 29901, 29892, 29900, 29962, 353, 18765, 29918, 10199, 29898, 10153, 1919, 2377, 7503, 29892, 29901, 29892, 29900, 29962, 1723, 13, 13, 12, 12, 12, 29990, 29889, 4397, 29898, 679, 29918, 3027, 29918, 2749, 29898, 326, 1919, 1881, 29918, 2103, 1919, 1881, 29918, 3545, 1919, 397, 3241, 29922, 2382, 29918, 22364, 4214, 1723, 29871, 1723, 13, 12, 12, 12, 29979, 29889, 4397, 29898, 679, 29918, 28192, 362, 29918, 2749, 29898, 2377, 1919, 302, 29918, 13203, 1919, 1962, 29918, 2103, 1919, 1962, 29918, 3545, 1723, 29871, 1723, 13, 13, 12, 12, 29891, 969, 7442, 29889, 2378, 29898, 29990, 29897, 1919, 7442, 29889, 2378, 29898, 29979, 29897, 13, 13, 2 ]
Array_ReverseInteger.py	clintbugsdev/binary-tree	0	137515	<filename>Array_ReverseInteger.py def reverse_integer(n): reversed = 0 remainder = 0 while n > 0: remainder = n % 10 reversed = reversed * 10 + remainder n = n // 10 return reversed if __name__ == "__main__": print(reverse_integer(12345))	[ 1, 529, 9507, 29958, 2588, 29918, 1123, 3901, 7798, 29889, 2272, 13, 1753, 11837, 29918, 16031, 29898, 29876, 1125, 13, 1678, 18764, 287, 353, 29871, 29900, 13, 1678, 21162, 353, 29871, 29900, 13, 13, 1678, 1550, 302, 1405, 29871, 29900, 29901, 13, 4706, 21162, 353, 302, 1273, 29871, 29896, 29900, 13, 4706, 18764, 287, 353, 18764, 287, 334, 29871, 29896, 29900, 718, 21162, 13, 4706, 302, 353, 302, 849, 29871, 29896, 29900, 13, 13, 1678, 736, 18764, 287, 13, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 1678, 1596, 29898, 24244, 29918, 16031, 29898, 29896, 29906, 29941, 29946, 29945, 876, 13, 2 ]
schematizer/views/consumer_groups.py	Yelp/schematizer	86	114038	# -- coding: utf-8 -- # Copyright 2016 Yelp Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from __future__ import absolute_import from __future__ import unicode_literals from pyramid.view import view_config from schematizer import models from schematizer.api.decorators import log_api from schematizer.api.decorators import transform_api_response from schematizer.api.exceptions import exceptions_v1 as exc_v1 from schematizer.api.requests import requests_v1 from schematizer.api.responses import responses_v1 as resp_v1 from schematizer.logic import registration_repository as reg_repo from schematizer.models import exceptions as sch_exc @view_config( route_name='api.v1.get_consumer_groups', request_method='GET', renderer='json' ) @transform_api_response() def get_consumer_groups(request): return [resp_v1.get_consumer_group_response_from_consumer_group(group) for group in models.ConsumerGroup.get_all()] @view_config( route_name='api.v1.get_consumer_group_by_id', request_method='GET', renderer='json' ) @transform_api_response() def get_consumer_group_by_id(request): consumer_group_id = int(request.matchdict.get('consumer_group_id')) try: group = models.ConsumerGroup.get_by_id(consumer_group_id) return resp_v1.get_consumer_group_response_from_consumer_group(group) except sch_exc.EntityNotFoundError as e: raise exc_v1.entity_not_found_exception(e.message) @view_config( route_name='api.v1.get_data_sources_by_consumer_group_id', request_method='GET', renderer='json' ) @transform_api_response() def get_data_sources_by_consumer_group_id(request): consumer_group_id = int(request.matchdict.get('consumer_group_id')) try: data_sources = reg_repo.get_data_sources_by_consumer_group_id( consumer_group_id ) return [ resp_v1.get_response_from_consumer_group_data_source(src) for src in data_sources ] except sch_exc.EntityNotFoundError as e: raise exc_v1.entity_not_found_exception(e.message) @view_config( route_name='api.v1.create_consumer_group_data_source', request_method='POST', renderer='json' ) @transform_api_response() @log_api() def create_consumer_group_data_source(request): consumer_group_id = int(request.matchdict.get('consumer_group_id')) req = requests_v1.CreateConsumerGroupDataSourceRequest(**request.json_body) try: data_src = reg_repo.register_consumer_group_data_source( consumer_group_id=consumer_group_id, data_source_type=req.data_source_type, data_source_id=req.data_source_id ) return resp_v1.get_response_from_consumer_group_data_source( data_src ) except ValueError as value_ex: raise exc_v1.invalid_request_exception(value_ex.message) except sch_exc.EntityNotFoundError as not_found_ex: raise exc_v1.entity_not_found_exception(not_found_ex.message)	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29896, 29953, 612, 295, 29886, 9266, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 259, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 13, 29937, 7047, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 13, 29937, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 13, 29937, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 29871, 2823, 278, 19245, 363, 278, 13, 29937, 2702, 4086, 14765, 1076, 11239, 322, 27028, 13, 29937, 1090, 278, 19245, 29889, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 3166, 11451, 2572, 333, 29889, 1493, 1053, 1776, 29918, 2917, 13, 13, 3166, 1364, 4579, 3950, 1053, 4733, 13, 3166, 1364, 4579, 3950, 29889, 2754, 29889, 19557, 4097, 1053, 1480, 29918, 2754, 13, 3166, 1364, 4579, 3950, 29889, 2754, 29889, 19557, 4097, 1053, 4327, 29918, 2754, 29918, 5327, 13, 3166, 1364, 4579, 3950, 29889, 2754, 29889, 11739, 29879, 1053, 15283, 29918, 29894, 29896, 408, 5566, 29918, 29894, 29896, 13, 3166, 1364, 4579, 3950, 29889, 2754, 29889, 24830, 1053, 7274, 29918, 29894, 29896, 13, 3166, 1364, 4579, 3950, 29889, 2754, 29889, 26679, 267, 1053, 20890, 29918, 29894, 29896, 408, 4613, 29918, 29894, 29896, 13, 3166, 1364, 4579, 3950, 29889, 19227, 1053, 22583, 29918, 19033, 408, 1072, 29918, 20095, 13, 3166, 1364, 4579, 3950, 29889, 9794, 1053, 15283, 408, 1364, 29918, 735, 29883, 13, 13, 13, 29992, 1493, 29918, 2917, 29898, 13, 1678, 5782, 29918, 978, 2433, 2754, 29889, 29894, 29896, 29889, 657, 29918, 25978, 261, 29918, 13155, 742, 13, 1678, 2009, 29918, 5696, 2433, 7194, 742, 13, 1678, 4050, 261, 2433, 3126, 29915, 13, 29897, 13, 29992, 9067, 29918, 2754, 29918, 5327, 580, 13, 1753, 679, 29918, 25978, 261, 29918, 13155, 29898, 3827, 1125, 13, 1678, 736, 518, 13713, 29918, 29894, 29896, 29889, 657, 29918, 25978, 261, 29918, 2972, 29918, 5327, 29918, 3166, 29918, 25978, 261, 29918, 2972, 29898, 2972, 29897, 13, 9651, 363, 2318, 297, 4733, 29889, 13696, 4680, 4782, 29889, 657, 29918, 497, 580, 29962, 13, 13, 13, 29992, 1493, 29918, 2917, 29898, 13, 1678, 5782, 29918, 978, 2433, 2754, 29889, 29894, 29896, 29889, 657, 29918, 25978, 261, 29918, 2972, 29918, 1609, 29918, 333, 742, 13, 1678, 2009, 29918, 5696, 2433, 7194, 742, 13, 1678, 4050, 261, 2433, 3126, 29915, 13, 29897, 13, 29992, 9067, 29918, 2754, 29918, 5327, 580, 13, 1753, 679, 29918, 25978, 261, 29918, 2972, 29918, 1609, 29918, 333, 29898, 3827, 1125, 13, 1678, 21691, 29918, 2972, 29918, 333, 353, 938, 29898, 3827, 29889, 4352, 8977, 29889, 657, 877, 25978, 261, 29918, 2972, 29918, 333, 8785, 13, 1678, 1018, 29901, 13, 4706, 2318, 353, 4733, 29889, 13696, 4680, 4782, 29889, 657, 29918, 1609, 29918, 333, 29898, 25978, 261, 29918, 2972, 29918, 333, 29897, 13, 4706, 736, 4613, 29918, 29894, 29896, 29889, 657, 29918, 25978, 261, 29918, 2972, 29918, 5327, 29918, 3166, 29918, 25978, 261, 29918, 2972, 29898, 2972, 29897, 13, 1678, 5174, 1364, 29918, 735, 29883, 29889, 6691, 17413, 2392, 408, 321, 29901, 13, 4706, 12020, 5566, 29918, 29894, 29896, 29889, 10041, 29918, 1333, 29918, 11940, 29918, 11739, 29898, 29872, 29889, 4906, 29897, 13, 13, 13, 29992, 1493, 29918, 2917, 29898, 13, 1678, 5782, 29918, 978, 2433, 2754, 29889, 29894, 29896, 29889, 657, 29918, 1272, 29918, 29879, 2863, 29918, 1609, 29918, 25978, 261, 29918, 2972, 29918, 333, 742, 13, 1678, 2009, 29918, 5696, 2433, 7194, 742, 13, 1678, 4050, 261, 2433, 3126, 29915, 13, 29897, 13, 29992, 9067, 29918, 2754, 29918, 5327, 580, 13, 1753, 679, 29918, 1272, 29918, 29879, 2863, 29918, 1609, 29918, 25978, 261, 29918, 2972, 29918, 333, 29898, 3827, 1125, 13, 1678, 21691, 29918, 2972, 29918, 333, 353, 938, 29898, 3827, 29889, 4352, 8977, 29889, 657, 877, 25978, 261, 29918, 2972, 29918, 333, 8785, 13, 1678, 1018, 29901, 13, 4706, 848, 29918, 29879, 2863, 353, 1072, 29918, 20095, 29889, 657, 29918, 1272, 29918, 29879, 2863, 29918, 1609, 29918, 25978, 261, 29918, 2972, 29918, 333, 29898, 13, 9651, 21691, 29918, 2972, 29918, 333, 13, 4706, 1723, 13, 4706, 736, 518, 13, 9651, 4613, 29918, 29894, 29896, 29889, 657, 29918, 5327, 29918, 3166, 29918, 25978, 261, 29918, 2972, 29918, 1272, 29918, 4993, 29898, 4351, 29897, 13, 9651, 363, 4765, 297, 848, 29918, 29879, 2863, 13, 4706, 4514, 13, 1678, 5174, 1364, 29918, 735, 29883, 29889, 6691, 17413, 2392, 408, 321, 29901, 13, 4706, 12020, 5566, 29918, 29894, 29896, 29889, 10041, 29918, 1333, 29918, 11940, 29918, 11739, 29898, 29872, 29889, 4906, 29897, 13, 13, 13, 29992, 1493, 29918, 2917, 29898, 13, 1678, 5782, 29918, 978, 2433, 2754, 29889, 29894, 29896, 29889, 3258, 29918, 25978, 261, 29918, 2972, 29918, 1272, 29918, 4993, 742, 13, 1678, 2009, 29918, 5696, 2433, 5438, 742, 13, 1678, 4050, 261, 2433, 3126, 29915, 13, 29897, 13, 29992, 9067, 29918, 2754, 29918, 5327, 580, 13, 29992, 1188, 29918, 2754, 580, 13, 1753, 1653, 29918, 25978, 261, 29918, 2972, 29918, 1272, 29918, 4993, 29898, 3827, 1125, 13, 1678, 21691, 29918, 2972, 29918, 333, 353, 938, 29898, 3827, 29889, 4352, 8977, 29889, 657, 877, 25978, 261, 29918, 2972, 29918, 333, 8785, 13, 1678, 12428, 353, 7274, 29918, 29894, 29896, 29889, 4391, 13696, 4680, 4782, 15559, 3089, 29898, 1068, 3827, 29889, 3126, 29918, 2587, 29897, 13, 1678, 1018, 29901, 13, 4706, 848, 29918, 4351, 353, 1072, 29918, 20095, 29889, 9573, 29918, 25978, 261, 29918, 2972, 29918, 1272, 29918, 4993, 29898, 13, 9651, 21691, 29918, 2972, 29918, 333, 29922, 25978, 261, 29918, 2972, 29918, 333, 29892, 13, 9651, 848, 29918, 4993, 29918, 1853, 29922, 7971, 29889, 1272, 29918, 4993, 29918, 1853, 29892, 13, 9651, 848, 29918, 4993, 29918, 333, 29922, 7971, 29889, 1272, 29918, 4993, 29918, 333, 13, 4706, 1723, 13, 4706, 736, 4613, 29918, 29894, 29896, 29889, 657, 29918, 5327, 29918, 3166, 29918, 25978, 261, 29918, 2972, 29918, 1272, 29918, 4993, 29898, 13, 9651, 848, 29918, 4351, 13, 4706, 1723, 13, 1678, 5174, 7865, 2392, 408, 995, 29918, 735, 29901, 13, 4706, 12020, 5566, 29918, 29894, 29896, 29889, 20965, 29918, 3827, 29918, 11739, 29898, 1767, 29918, 735, 29889, 4906, 29897, 13, 1678, 5174, 1364, 29918, 735, 29883, 29889, 6691, 17413, 2392, 408, 451, 29918, 11940, 29918, 735, 29901, 13, 4706, 12020, 5566, 29918, 29894, 29896, 29889, 10041, 29918, 1333, 29918, 11940, 29918, 11739, 29898, 1333, 29918, 11940, 29918, 735, 29889, 4906, 29897, 13, 2 ]
basenef/tools/api/instance_dict_parser.py	bill52547/NEF	0	79895	<filename>basenef/tools/api/instance_dict_parser.py # encoding: utf-8 ''' @author: <NAME> @contact: <EMAIL> @software: srf_ct @file: instance_dict_parser.py @date: 4/9/2019 @desc: ''' from basenef.typings import BASIC_TYPE_DICT_REVERT, BASIC_TYPE_CONVERTER from basenef.base import NefClass def _convert_single_instance_to_dict(obj: NefClass = None, , verbose = True): if obj is None: raise ValueError('valid instance are needed.') kwargs = {'classname': obj.__class__.__name__} for key, _type in obj.__class__.__annotations__(): if not verbose and key.startswith('_'): continue if key == 'data': from basenef.tools.file_io import data_saver res_path = data_saver(getattr(obj, key)) kwargs.update({'data': res_path}) # should be file_io here elif _type in BASIC_TYPE_DICT_REVERT: kwargs.update({key: getattr(obj, key)}) else: kwargs.update( {key: _convert_single_instance_to_dict(getattr(obj, key), verbose = verbose)}) return kwargs def convert_instance_to_dict(objs_dct: dict, , verbose = True): if isinstance(objs_dct, NefClass): objs_dct = {str(0): objs_dct} elif isinstance(objs_dct, list): objs_dct = {str(ind): obj for ind, obj in enumerate(objs_dct)} kwargs = {} for key, obj in objs_dct.items(): kwargs.update({key: _convert_single_instance_to_dict(obj, verbose = verbose)}) return kwargs def convert_dict_to_instance(dct: dict, , schema: dict): if schema is None: raise ValueError('A valid schema is needed.') if isinstance(schema, str): import json as json_ try: schema = json_.loads(schema) except ValueError('Can not parse schema: ', schema): pass out = {} for key, val in dct.items(): if 'classname' in val: classname = val['classname'] if classname not in schema: raise ValueError(f'can not find valid class assigned for {key} in the first arg') cls = schema[classname] print(1, cls) if isinstance(cls, dict): from .class_schema_parser import convert_schema_to_class cls = convert_schema_to_class(schema)[classname] print(2, convert_schema_to_class(schema)) else: raise ValueError(f"can not find valid classname in dct.['{key}']") kwargs = {} print(cls) for field, type_ in cls.fields(): sub_ = val[field] if field.startswith('_'): continue elif field == 'data': from basenef.tools.file_io import data_loader kwargs.update({field: data_loader(sub_)}) elif isinstance(sub_, dict): kwargs.update( {field: convert_dict_to_instance({field: sub_}, schema = schema)[field]}) else: kwargs.update({field: BASIC_TYPE_CONVERTER[type_.__name__](sub_)}) out.update({key: cls(*kwargs)}) return out	[ 1, 529, 9507, 29958, 6500, 264, 1389, 29914, 8504, 29914, 2754, 29914, 8758, 29918, 8977, 29918, 16680, 29889, 2272, 13, 29937, 8025, 29901, 23616, 29899, 29947, 13, 12008, 13, 29992, 8921, 29901, 529, 5813, 29958, 13, 29992, 12346, 29901, 529, 26862, 6227, 29958, 13, 29992, 20415, 29901, 269, 9600, 29918, 312, 13, 29992, 1445, 29901, 2777, 29918, 8977, 29918, 16680, 29889, 2272, 13, 29992, 1256, 29901, 29871, 29946, 29914, 29929, 29914, 29906, 29900, 29896, 29929, 13, 29992, 14273, 29901, 13, 12008, 13, 3166, 2362, 264, 1389, 29889, 22449, 886, 1053, 350, 3289, 2965, 29918, 11116, 29918, 4571, 1783, 29918, 1525, 5348, 29911, 29892, 350, 3289, 2965, 29918, 11116, 29918, 6007, 5348, 4945, 13, 3166, 2362, 264, 1389, 29889, 3188, 1053, 405, 1389, 2385, 13, 13, 13, 1753, 903, 13441, 29918, 14369, 29918, 8758, 29918, 517, 29918, 8977, 29898, 5415, 29901, 405, 1389, 2385, 353, 6213, 29892, 334, 29892, 26952, 353, 5852, 1125, 13, 1678, 565, 5446, 338, 6213, 29901, 13, 4706, 12020, 7865, 2392, 877, 3084, 2777, 526, 4312, 29889, 1495, 13, 13, 1678, 9049, 5085, 353, 11117, 1990, 978, 2396, 5446, 17255, 1990, 1649, 17255, 978, 1649, 29913, 13, 1678, 363, 1820, 29892, 903, 1853, 297, 5446, 17255, 1990, 1649, 17255, 6735, 800, 1649, 7295, 13, 4706, 565, 451, 26952, 322, 1820, 29889, 27382, 2541, 877, 29918, 29374, 13, 9651, 6773, 13, 4706, 565, 1820, 1275, 525, 1272, 2396, 13, 9651, 515, 2362, 264, 1389, 29889, 8504, 29889, 1445, 29918, 601, 1053, 848, 29918, 4977, 369, 13, 9651, 620, 29918, 2084, 353, 848, 29918, 4977, 369, 29898, 657, 5552, 29898, 5415, 29892, 1820, 876, 13, 9651, 9049, 5085, 29889, 5504, 3319, 29915, 1272, 2396, 620, 29918, 2084, 1800, 29871, 396, 881, 367, 934, 29918, 601, 1244, 13, 4706, 25342, 903, 1853, 297, 350, 3289, 2965, 29918, 11116, 29918, 4571, 1783, 29918, 1525, 5348, 29911, 29901, 13, 9651, 9049, 5085, 29889, 5504, 3319, 1989, 29901, 679, 5552, 29898, 5415, 29892, 1820, 26972, 13, 4706, 1683, 29901, 13, 9651, 9049, 5085, 29889, 5504, 29898, 13, 18884, 426, 1989, 29901, 903, 13441, 29918, 14369, 29918, 8758, 29918, 517, 29918, 8977, 29898, 657, 5552, 29898, 5415, 29892, 1820, 511, 26952, 353, 26952, 26972, 13, 13, 1678, 736, 9049, 5085, 13, 13, 13, 1753, 3588, 29918, 8758, 29918, 517, 29918, 8977, 29898, 711, 1315, 29918, 29881, 312, 29901, 9657, 29892, 334, 29892, 26952, 353, 5852, 1125, 13, 1678, 565, 338, 8758, 29898, 711, 1315, 29918, 29881, 312, 29892, 405, 1389, 2385, 1125, 13, 4706, 704, 1315, 29918, 29881, 312, 353, 426, 710, 29898, 29900, 1125, 704, 1315, 29918, 29881, 312, 29913, 13, 1678, 25342, 338, 8758, 29898, 711, 1315, 29918, 29881, 312, 29892, 1051, 1125, 13, 4706, 704, 1315, 29918, 29881, 312, 353, 426, 710, 29898, 513, 1125, 5446, 363, 1399, 29892, 5446, 297, 26985, 29898, 711, 1315, 29918, 29881, 312, 2915, 13, 13, 1678, 9049, 5085, 353, 6571, 13, 1678, 363, 1820, 29892, 5446, 297, 704, 1315, 29918, 29881, 312, 29889, 7076, 7295, 13, 4706, 9049, 5085, 29889, 5504, 3319, 1989, 29901, 903, 13441, 29918, 14369, 29918, 8758, 29918, 517, 29918, 8977, 29898, 5415, 29892, 26952, 353, 26952, 26972, 13, 1678, 736, 9049, 5085, 13, 13, 13, 1753, 3588, 29918, 8977, 29918, 517, 29918, 8758, 29898, 29881, 312, 29901, 9657, 29892, 334, 29892, 10938, 29901, 9657, 1125, 13, 1678, 565, 10938, 338, 6213, 29901, 13, 4706, 12020, 7865, 2392, 877, 29909, 2854, 10938, 338, 4312, 29889, 1495, 13, 1678, 565, 338, 8758, 29898, 11010, 29892, 851, 1125, 13, 4706, 1053, 4390, 408, 4390, 29918, 13, 4706, 1018, 29901, 13, 9651, 10938, 353, 4390, 5396, 18132, 29898, 11010, 29897, 13, 4706, 5174, 7865, 2392, 877, 6028, 451, 6088, 10938, 29901, 13420, 10938, 1125, 13, 9651, 1209, 13, 1678, 714, 353, 6571, 13, 1678, 363, 1820, 29892, 659, 297, 270, 312, 29889, 7076, 7295, 13, 4706, 565, 525, 1990, 978, 29915, 297, 659, 29901, 13, 9651, 770, 978, 353, 659, 1839, 1990, 978, 2033, 13, 9651, 565, 770, 978, 451, 297, 10938, 29901, 13, 18884, 12020, 7865, 2392, 29898, 29888, 29915, 3068, 451, 1284, 2854, 770, 9859, 363, 426, 1989, 29913, 297, 278, 937, 1852, 1495, 13, 9651, 1067, 29879, 353, 10938, 29961, 1990, 978, 29962, 13, 9651, 1596, 29898, 29896, 29892, 1067, 29879, 29897, 13, 9651, 565, 338, 8758, 29898, 25932, 29892, 9657, 1125, 13, 18884, 515, 869, 1990, 29918, 11010, 29918, 16680, 1053, 3588, 29918, 11010, 29918, 517, 29918, 1990, 13, 18884, 1067, 29879, 353, 3588, 29918, 11010, 29918, 517, 29918, 1990, 29898, 11010, 9601, 1990, 978, 29962, 13, 18884, 1596, 29898, 29906, 29892, 3588, 29918, 11010, 29918, 517, 29918, 1990, 29898, 11010, 876, 13, 4706, 1683, 29901, 13, 9651, 12020, 7865, 2392, 29898, 29888, 29908, 3068, 451, 1284, 2854, 770, 978, 297, 270, 312, 29889, 1839, 29912, 1989, 29913, 2033, 1159, 13, 13, 4706, 9049, 5085, 353, 6571, 13, 4706, 1596, 29898, 25932, 29897, 13, 4706, 363, 1746, 29892, 1134, 29918, 297, 1067, 29879, 29889, 9621, 7295, 13, 9651, 1014, 29918, 353, 659, 29961, 2671, 29962, 13, 9651, 565, 1746, 29889, 27382, 2541, 877, 29918, 29374, 13, 18884, 6773, 13, 9651, 25342, 1746, 1275, 525, 1272, 2396, 13, 18884, 515, 2362, 264, 1389, 29889, 8504, 29889, 1445, 29918, 601, 1053, 848, 29918, 12657, 13, 18884, 9049, 5085, 29889, 5504, 3319, 2671, 29901, 848, 29918, 12657, 29898, 1491, 19925, 1800, 13, 9651, 25342, 338, 8758, 29898, 1491, 3383, 9657, 1125, 13, 18884, 9049, 5085, 29889, 5504, 29898, 13, 462, 1678, 426, 2671, 29901, 3588, 29918, 8977, 29918, 517, 29918, 8758, 3319, 2671, 29901, 1014, 29918, 1118, 10938, 353, 10938, 9601, 2671, 29962, 1800, 13, 9651, 1683, 29901, 13, 18884, 9049, 5085, 29889, 5504, 3319, 2671, 29901, 350, 3289, 2965, 29918, 11116, 29918, 6007, 5348, 4945, 29961, 1853, 5396, 1649, 978, 1649, 850, 1491, 19925, 1800, 13, 4706, 714, 29889, 5504, 3319, 1989, 29901, 1067, 29879, 29898, 1068, 19290, 26972, 13, 1678, 736, 714, 13, 2 ]
src/past/types/oldstr.py	kianmeng/python-future	908	22899	""" Pure-Python implementation of a Python 2-like str object for Python 3. """ from numbers import Integral from past.utils import PY2, with_metaclass if PY2: from collections import Iterable else: from collections.abc import Iterable _builtin_bytes = bytes class BaseOldStr(type): def __instancecheck__(cls, instance): return isinstance(instance, _builtin_bytes) def unescape(s): r""" Interprets strings with escape sequences Example: >>> s = unescape(r'abc\\def') # i.e. 'abc\\\\def' >>> print(s) 'abc\def' >>> s2 = unescape('abc\\ndef') >>> len(s2) 8 >>> print(s2) abc def """ return s.encode().decode('unicode_escape') class oldstr(with_metaclass(BaseOldStr, _builtin_bytes)): """ A forward port of the Python 2 8-bit string object to Py3 """ # Python 2 strings have no __iter__ method: @property def __iter__(self): raise AttributeError def __dir__(self): return [thing for thing in dir(_builtin_bytes) if thing != '__iter__'] # def __new__(cls, args, kwargs): # """ # From the Py3 bytes docstring: # bytes(iterable_of_ints) -> bytes # bytes(string, encoding[, errors]) -> bytes # bytes(bytes_or_buffer) -> immutable copy of bytes_or_buffer # bytes(int) -> bytes object of size given by the parameter initialized with null bytes # bytes() -> empty bytes object # # Construct an immutable array of bytes from: # - an iterable yielding integers in range(256) # - a text string encoded using the specified encoding # - any object implementing the buffer API. # - an integer # """ # # if len(args) == 0: # return super(newbytes, cls).__new__(cls) # # Was: elif isinstance(args[0], newbytes): # # We use type() instead of the above because we're redefining # # this to be True for all unicode string subclasses. Warning: # # This may render newstr un-subclassable. # elif type(args[0]) == newbytes: # return args[0] # elif isinstance(args[0], _builtin_bytes): # value = args[0] # elif isinstance(args[0], unicode): # if 'encoding' not in kwargs: # raise TypeError('unicode string argument without an encoding') # ### # # Was: value = args[0].encode(kwargs) # # Python 2.6 string encode() method doesn't take kwargs: # # Use this instead: # newargs = [kwargs['encoding']] # if 'errors' in kwargs: # newargs.append(kwargs['errors']) # value = args[0].encode(newargs) # ### # elif isinstance(args[0], Iterable): # if len(args[0]) == 0: # # What is this? # raise ValueError('unknown argument type') # elif len(args[0]) > 0 and isinstance(args[0][0], Integral): # # It's a list of integers # value = b''.join([chr(x) for x in args[0]]) # else: # raise ValueError('item cannot be interpreted as an integer') # elif isinstance(args[0], Integral): # if args[0] < 0: # raise ValueError('negative count') # value = b'\x00' * args[0] # else: # value = args[0] # return super(newbytes, cls).__new__(cls, value) def __repr__(self): s = super(oldstr, self).__repr__() # e.g. b'abc' on Py3, b'abc' on Py3 return s[1:] def __str__(self): s = super(oldstr, self).__str__() # e.g. "b'abc'" or "b'abc\\ndef' # TODO: fix this: assert s[:2] == "b'" and s[-1] == "'" return unescape(s[2:-1]) # e.g. 'abc' or 'abc\ndef' def __getitem__(self, y): if isinstance(y, Integral): return super(oldstr, self).__getitem__(slice(y, y+1)) else: return super(oldstr, self).__getitem__(y) def __getslice__(self, args): return self.__getitem__(slice(args)) def __contains__(self, key): if isinstance(key, int): return False def __native__(self): return bytes(self) __all__ = ['oldstr']	[ 1, 9995, 13, 29925, 545, 29899, 11980, 5314, 310, 263, 5132, 29871, 29906, 29899, 4561, 851, 1203, 363, 5132, 29871, 29941, 29889, 13, 15945, 29908, 13, 13, 3166, 3694, 1053, 17100, 284, 13, 13, 3166, 4940, 29889, 13239, 1053, 349, 29979, 29906, 29892, 411, 29918, 2527, 562, 605, 13, 13, 361, 349, 29979, 29906, 29901, 13, 1678, 515, 16250, 1053, 20504, 519, 13, 2870, 29901, 13, 1678, 515, 16250, 29889, 10736, 1053, 20504, 519, 13, 13, 29918, 16145, 262, 29918, 13193, 353, 6262, 13, 13, 13, 1990, 7399, 21648, 5015, 29898, 1853, 1125, 13, 1678, 822, 4770, 8758, 3198, 12035, 25932, 29892, 2777, 1125, 13, 4706, 736, 338, 8758, 29898, 8758, 29892, 903, 16145, 262, 29918, 13193, 29897, 13, 13, 13, 1753, 443, 21587, 29898, 29879, 1125, 13, 1678, 364, 15945, 29908, 13, 1678, 4124, 1457, 1372, 6031, 411, 10169, 15602, 13, 13, 1678, 8741, 29901, 13, 1678, 8653, 269, 353, 443, 21587, 29898, 29878, 29915, 10736, 1966, 1753, 1495, 259, 396, 474, 29889, 29872, 29889, 525, 10736, 1966, 1966, 1753, 29915, 13, 1678, 8653, 1596, 29898, 29879, 29897, 13, 1678, 525, 10736, 29905, 1753, 29915, 13, 1678, 8653, 269, 29906, 353, 443, 21587, 877, 10736, 1966, 299, 1389, 1495, 13, 1678, 8653, 7431, 29898, 29879, 29906, 29897, 13, 268, 29947, 13, 1678, 8653, 1596, 29898, 29879, 29906, 29897, 13, 1678, 25638, 13, 1678, 822, 13, 1678, 9995, 13, 1678, 736, 269, 29889, 12508, 2141, 13808, 877, 2523, 356, 29918, 21587, 1495, 13, 13, 13, 1990, 2030, 710, 29898, 2541, 29918, 2527, 562, 605, 29898, 5160, 21648, 5015, 29892, 903, 16145, 262, 29918, 13193, 22164, 13, 1678, 9995, 13, 1678, 319, 6375, 2011, 310, 278, 5132, 29871, 29906, 29871, 29947, 29899, 2966, 1347, 1203, 304, 10772, 29941, 13, 1678, 9995, 13, 1678, 396, 5132, 29871, 29906, 6031, 505, 694, 4770, 1524, 1649, 1158, 29901, 13, 1678, 732, 6799, 13, 1678, 822, 4770, 1524, 12035, 1311, 1125, 13, 4706, 12020, 23833, 2392, 13, 13, 1678, 822, 4770, 3972, 12035, 1311, 1125, 13, 4706, 736, 518, 1918, 363, 2655, 297, 4516, 7373, 16145, 262, 29918, 13193, 29897, 565, 2655, 2804, 525, 1649, 1524, 1649, 2033, 13, 13, 1678, 396, 822, 4770, 1482, 12035, 25932, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 1678, 396, 268, 9995, 13, 1678, 396, 268, 3645, 278, 10772, 29941, 6262, 1574, 1807, 29901, 13, 13, 1678, 396, 268, 6262, 29898, 1524, 519, 29918, 974, 29918, 9466, 29897, 1599, 6262, 13, 1678, 396, 268, 6262, 29898, 1807, 29892, 8025, 21939, 4436, 2314, 1599, 6262, 13, 1678, 396, 268, 6262, 29898, 13193, 29918, 272, 29918, 9040, 29897, 1599, 5198, 9246, 3509, 310, 6262, 29918, 272, 29918, 9040, 13, 1678, 396, 268, 6262, 29898, 524, 29897, 1599, 6262, 1203, 310, 2159, 2183, 491, 278, 3443, 16601, 411, 1870, 6262, 13, 1678, 396, 268, 6262, 580, 1599, 4069, 6262, 1203, 13, 1678, 396, 13, 1678, 396, 268, 1281, 4984, 385, 5198, 9246, 1409, 310, 6262, 515, 29901, 13, 1678, 396, 539, 448, 385, 4256, 519, 7709, 292, 11920, 297, 3464, 29898, 29906, 29945, 29953, 29897, 13, 1678, 396, 539, 448, 263, 1426, 1347, 18511, 773, 278, 6790, 8025, 13, 1678, 396, 539, 448, 738, 1203, 16049, 278, 6835, 3450, 29889, 13, 1678, 396, 539, 448, 385, 6043, 13, 1678, 396, 268, 9995, 13, 1678, 396, 13, 1678, 396, 268, 565, 7431, 29898, 5085, 29897, 1275, 29871, 29900, 29901, 13, 1678, 396, 308, 736, 2428, 29898, 1482, 13193, 29892, 1067, 29879, 467, 1649, 1482, 12035, 25932, 29897, 13, 1678, 396, 268, 396, 12547, 29901, 25342, 338, 8758, 29898, 5085, 29961, 29900, 1402, 716, 13193, 1125, 13, 1678, 396, 268, 396, 1334, 671, 1134, 580, 2012, 310, 278, 2038, 1363, 591, 29915, 276, 337, 1753, 2827, 13, 1678, 396, 268, 396, 445, 304, 367, 5852, 363, 599, 29104, 1347, 1014, 13203, 29889, 24412, 29901, 13, 1678, 396, 268, 396, 910, 1122, 4050, 716, 710, 443, 29899, 1491, 1990, 519, 29889, 13, 1678, 396, 268, 25342, 1134, 29898, 5085, 29961, 29900, 2314, 1275, 716, 13193, 29901, 13, 1678, 396, 308, 736, 6389, 29961, 29900, 29962, 13, 1678, 396, 268, 25342, 338, 8758, 29898, 5085, 29961, 29900, 1402, 903, 16145, 262, 29918, 13193, 1125, 13, 1678, 396, 308, 995, 353, 6389, 29961, 29900, 29962, 13, 1678, 396, 268, 25342, 338, 8758, 29898, 5085, 29961, 29900, 1402, 29104, 1125, 13, 1678, 396, 308, 565, 525, 22331, 29915, 451, 297, 9049, 5085, 29901, 13, 1678, 396, 632, 12020, 20948, 877, 2523, 356, 1347, 2980, 1728, 385, 8025, 1495, 13, 1678, 396, 308, 835, 13, 1678, 396, 308, 396, 12547, 29901, 259, 995, 353, 6389, 29961, 29900, 1822, 12508, 29898, 1068, 19290, 29897, 13, 1678, 396, 308, 396, 5132, 29871, 29906, 29889, 29953, 1347, 19750, 580, 1158, 1838, 29915, 29873, 2125, 9049, 5085, 29901, 13, 1678, 396, 308, 396, 4803, 445, 2012, 29901, 13, 1678, 396, 308, 716, 5085, 353, 518, 19290, 1839, 22331, 2033, 29962, 13, 1678, 396, 308, 565, 525, 12523, 29915, 297, 9049, 5085, 29901, 13, 1678, 396, 632, 716, 5085, 29889, 4397, 29898, 19290, 1839, 12523, 11287, 13, 1678, 396, 308, 995, 353, 6389, 29961, 29900, 1822, 12508, 10456, 1482, 5085, 29897, 13, 1678, 396, 308, 835, 13, 1678, 396, 268, 25342, 338, 8758, 29898, 5085, 29961, 29900, 1402, 20504, 519, 1125, 13, 1678, 396, 308, 565, 7431, 29898, 5085, 29961, 29900, 2314, 1275, 29871, 29900, 29901, 13, 1678, 396, 632, 396, 1724, 338, 445, 29973, 13, 1678, 396, 632, 12020, 7865, 2392, 877, 26690, 2980, 1134, 1495, 13, 1678, 396, 308, 25342, 7431, 29898, 5085, 29961, 29900, 2314, 1405, 29871, 29900, 322, 338, 8758, 29898, 5085, 29961, 29900, 3816, 29900, 1402, 17100, 284, 1125, 13, 1678, 396, 632, 396, 739, 29915, 29879, 263, 1051, 310, 11920, 13, 1678, 396, 632, 995, 353, 289, 29915, 4286, 7122, 4197, 22495, 29898, 29916, 29897, 363, 921, 297, 6389, 29961, 29900, 24960, 13, 1678, 396, 308, 1683, 29901, 13, 1678, 396, 632, 12020, 7865, 2392, 877, 667, 2609, 367, 21551, 408, 385, 6043, 1495, 13, 1678, 396, 268, 25342, 338, 8758, 29898, 5085, 29961, 29900, 1402, 17100, 284, 1125, 13, 1678, 396, 308, 565, 6389, 29961, 29900, 29962, 529, 29871, 29900, 29901, 13, 1678, 396, 632, 12020, 7865, 2392, 877, 22198, 2302, 1495, 13, 1678, 396, 308, 995, 353, 289, 12764, 29916, 29900, 29900, 29915, 334, 6389, 29961, 29900, 29962, 13, 1678, 396, 268, 1683, 29901, 13, 1678, 396, 308, 995, 353, 6389, 29961, 29900, 29962, 13, 1678, 396, 268, 736, 2428, 29898, 1482, 13193, 29892, 1067, 29879, 467, 1649, 1482, 12035, 25932, 29892, 995, 29897, 13, 13, 1678, 822, 4770, 276, 558, 12035, 1311, 1125, 13, 4706, 269, 353, 2428, 29898, 1025, 710, 29892, 1583, 467, 1649, 276, 558, 1649, 580, 259, 396, 321, 29889, 29887, 29889, 289, 29915, 10736, 29915, 373, 10772, 29941, 29892, 289, 29915, 10736, 29915, 373, 10772, 29941, 13, 4706, 736, 269, 29961, 29896, 17531, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 269, 353, 2428, 29898, 1025, 710, 29892, 1583, 467, 1649, 710, 1649, 580, 259, 396, 321, 29889, 29887, 29889, 376, 29890, 29915, 10736, 11838, 470, 376, 29890, 29915, 10736, 1966, 299, 1389, 29915, 13, 4706, 396, 14402, 29901, 2329, 445, 29901, 13, 4706, 4974, 269, 7503, 29906, 29962, 1275, 376, 29890, 11838, 322, 269, 14352, 29896, 29962, 1275, 376, 11838, 13, 4706, 736, 443, 21587, 29898, 29879, 29961, 29906, 13018, 29896, 2314, 9651, 396, 321, 29889, 29887, 29889, 525, 10736, 29915, 1678, 470, 525, 10736, 29905, 299, 1389, 29915, 13, 13, 1678, 822, 4770, 657, 667, 12035, 1311, 29892, 343, 1125, 13, 4706, 565, 338, 8758, 29898, 29891, 29892, 17100, 284, 1125, 13, 9651, 736, 2428, 29898, 1025, 710, 29892, 1583, 467, 1649, 657, 667, 12035, 18337, 29898, 29891, 29892, 343, 29974, 29896, 876, 13, 4706, 1683, 29901, 13, 9651, 736, 2428, 29898, 1025, 710, 29892, 1583, 467, 1649, 657, 667, 12035, 29891, 29897, 13, 13, 1678, 822, 4770, 657, 18337, 12035, 1311, 29892, 334, 5085, 1125, 13, 4706, 736, 1583, 17255, 657, 667, 12035, 18337, 10456, 5085, 876, 13, 13, 1678, 822, 4770, 11516, 12035, 1311, 29892, 1820, 1125, 13, 4706, 565, 338, 8758, 29898, 1989, 29892, 938, 1125, 13, 9651, 736, 7700, 13, 13, 1678, 822, 4770, 11487, 12035, 1311, 1125, 13, 4706, 736, 6262, 29898, 1311, 29897, 13, 13, 13, 1649, 497, 1649, 353, 6024, 1025, 710, 2033, 13, 2 ]
flopy/mf6/utils/lakpak_utils.py	jtwhite79/flopy	1	134970	<gh_stars>1-10 import numpy as np def get_lak_connections(modelgrid, lake_map, idomain=None, bedleak=0.1): """ Function to create lake package connection data from a zero-based integer array of lake numbers. If the shape of lake number array is equal to (nrow, ncol) or (ncpl) then the lakes are on top of the model and are vertically connected to cells at the top of the model. Otherwise the lakes are embedded in the grid. TODO: implement embedded lakes for VertexGrid TODO: add support for UnstructuredGrid Parameters ---------- modelgrid : StructuredGrid, VertexGrid model grid lake_map : MaskedArray, ndarray, list, tuple location and zero-based lake number for lakes in the model domain. If lake_map is of size (nrow, ncol) or (ncpl) lakes are located on top of the model and vertically connected to cells in model layer 1. If lake_map is of size (nlay, nrow, ncol) or (nlay, ncpl) lakes are embedded in the model domain and horizontal and vertical lake connections are defined. idomain : int or ndarray location of inactive cells, which are defined with a zero value. If a ndarray is passed it must be of size (nlay, nrow, ncol) or (nlay, ncpl). bedleak : ndarray, list, tuple, float bed leakance for lakes in the model domain. If bedleak is a float the same bed leakance is applied to each lake connection in the model. If bedleak is of size (nrow, ncol) or (ncpl) then all lake connections for the cellid are given the same bed leakance value. Returns ------- idomain : ndarry idomain adjusted to inactivate cells with lakes connection_dict : dict dictionary with the zero-based lake number keys and number of connections in a lake values connectiondata : list of lists connectiondata block for the lake package """ if modelgrid.grid_type in ("unstructured",): raise ValueError( "unstructured grids not supported in get_lak_connections()" ) embedded = True shape3d = modelgrid.shape shape2d = shape3d[1:] # convert to numpy array if necessary if isinstance(lake_map, (list, tuple)): lake_map = np.array(lake_map, dtype=np.int32) elif isinstance(lake_map, (int, float)): raise TypeError( "lake_map must be a Masked Array, ndarray, list, or tuple" ) # evaluate lake_map shape shape_map = lake_map.shape if shape_map != shape3d: if shape_map != shape2d: raise ValueError( "lake_map shape ({}) must be equal to the grid shape for " "each layer ({})".format(shape_map, shape2d) ) else: embedded = False # process idomain if idomain is None: idomain = np.ones(shape3d, dtype=np.int32) elif isinstance(idomain, int): idomain = np.ones(shape3d, dtype=np.int32) * idomain elif isinstance(idomain, (float, bool)): raise ValueError("idomain must be a integer") # check dimensions of idomain if idomain.shape != shape3d: raise ValueError( "shape of idomain " "({}) not equal to {}".format(idomain.shape, shape3d) ) # convert bedleak to numpy array if necessary if isinstance(bedleak, (float, int)): bedleak = np.ones(shape2d, dtype=float) * float(bedleak) elif isinstance(bedleak, (list, tuple)): bedleak = np.array(bedleak, dtype=float) # get the model grid elevations and reset lake_map using idomain # if lake is embedded and in an inactive cell if embedded: elevations = modelgrid.top_botm lake_map[idomain < 1] = -1 else: elevations = None # determine if masked array, in not convert to masked array if not np.ma.is_masked(lake_map): lake_map = np.ma.masked_where(lake_map < 0, lake_map) connection_dict = {} connectiondata = [] # find unique lake numbers unique = np.unique(lake_map) # exclude lakes with lake numbers less than 0 idx = np.where(unique > -1) unique = unique[idx] dx, dy = None, None # embedded lakes for lake_number in unique: iconn = 0 indices = np.argwhere(lake_map == lake_number) for index in indices: cell_index = tuple(index.tolist()) if embedded: leak_value = bedleak[cell_index[1:]] if modelgrid.grid_type == "structured": if dx is None: xv, yv = modelgrid.xvertices, modelgrid.yvertices dx = xv[0, 1:] - xv[0, :-1] dy = yv[:-1, 0] - yv[1:, 0] ( cellids, claktypes, belevs, televs, connlens, connwidths, ) = __structured_lake_connections( lake_map, idomain, cell_index, dx, dy, elevations ) elif modelgrid.grid_type == "vertex": raise NotImplementedError( "embedded lakes have not been implemented" ) else: cellid = (0,) + cell_index leak_value = bedleak[cell_index] if idomain[cellid] > 0: cellids = [cellid] claktypes = ["vertical"] belevs = [0.0] televs = [0.0] connlens = [0.0] connwidths = [0.0] else: cellids = [] claktypes = [] belevs = [] televs = [] connlens = [] connwidths = [] # iterate through each cellid for (cellid, claktype, belev, telev, connlen, connwidth) in zip( cellids, claktypes, belevs, televs, connlens, connwidths ): connectiondata.append( [ lake_number, iconn, cellid[:], claktype, leak_value, belev, telev, connlen, connwidth, ] ) iconn += 1 # set number of connections for lake connection_dict[lake_number] = iconn # reset idomain for lake if iconn > 0: idx = np.where((lake_map == lake_number) & (idomain > 0)) idomain[idx] = 0 return idomain, connection_dict, connectiondata def __structured_lake_connections( lake_map, idomain, cell_index, dx, dy, elevations ): nlay, nrow, ncol = lake_map.shape cellids = [] claktypes = [] belevs = [] televs = [] connlens = [] connwidths = [] k, i, j = cell_index if idomain[cell_index] > 0: # back face if i > 0: ci = (k, i - 1, j) cit = (k + 1, i - 1, j) if np.ma.is_masked(lake_map[ci]) and idomain[ci] > 0: cellids.append(ci) claktypes.append("horizontal") belevs.append(elevations[cit]) televs.append(elevations[ci]) connlens.append(0.5 * dy[i - 1]) connwidths.append(dx[j]) # left face if j > 0: ci = (k, i, j - 1) cit = (k + 1, i, j - 1) if np.ma.is_masked(lake_map[ci]) and idomain[ci] > 0: cellids.append(ci) claktypes.append("horizontal") belevs.append(elevations[cit]) televs.append(elevations[ci]) connlens.append(0.5 * dx[j - 1]) connwidths.append(dy[i]) # right face if j < ncol - 1: ci = (k, i, j + 1) cit = (k + 1, i, j + 1) if np.ma.is_masked(lake_map[ci]) and idomain[ci] > 0: cellids.append(ci) claktypes.append("horizontal") belevs.append(elevations[cit]) televs.append(elevations[ci]) connlens.append(0.5 * dx[j + 1]) connwidths.append(dy[i]) # front face if i < nrow - 1: ci = (k, i + 1, j) cit = (k + 1, i + 1, j) if np.ma.is_masked(lake_map[ci]) and idomain[ci] > 0: cellids.append(ci) claktypes.append("horizontal") belevs.append(elevations[cit]) televs.append(elevations[ci]) connlens.append(0.5 * dy[i + 1]) connwidths.append(dx[j]) # lower face if k < nlay - 1: ci = (k + 1, i, j) if np.ma.is_masked(lake_map[ci]) and idomain[ci] > 0: cellids.append(ci) claktypes.append("vertical") belevs.append(0.0) televs.append(0.0) connlens.append(0.0) connwidths.append(0.0) return cellids, claktypes, belevs, televs, connlens, connwidths	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 12655, 408, 7442, 13, 13, 13, 1753, 679, 29918, 18170, 29918, 11958, 1953, 29898, 4299, 7720, 29892, 19437, 29918, 1958, 29892, 1178, 290, 475, 29922, 8516, 29892, 6592, 280, 557, 29922, 29900, 29889, 29896, 1125, 13, 1678, 9995, 13, 1678, 6680, 304, 1653, 19437, 3577, 3957, 848, 515, 263, 5225, 29899, 6707, 13, 1678, 6043, 1409, 310, 19437, 3694, 29889, 960, 278, 8267, 310, 19437, 1353, 1409, 338, 13, 1678, 5186, 304, 313, 29876, 798, 29892, 302, 1054, 29897, 470, 313, 17608, 572, 29897, 769, 278, 425, 10794, 526, 373, 2246, 310, 278, 1904, 13, 1678, 322, 526, 4837, 1711, 6631, 304, 9101, 472, 278, 2246, 310, 278, 1904, 29889, 13466, 13, 1678, 278, 425, 10794, 526, 15685, 297, 278, 6856, 29889, 13, 13, 1678, 14402, 29901, 2334, 15685, 425, 10794, 363, 1798, 4776, 5756, 13, 13, 1678, 14402, 29901, 788, 2304, 363, 853, 4984, 2955, 5756, 13, 13, 1678, 12662, 2699, 13, 1678, 448, 1378, 29899, 13, 1678, 1904, 7720, 584, 28771, 2955, 5756, 29892, 1798, 4776, 5756, 13, 4706, 1904, 6856, 13, 1678, 19437, 29918, 1958, 584, 341, 1278, 287, 2588, 29892, 29871, 299, 2378, 29892, 1051, 29892, 18761, 13, 4706, 4423, 322, 5225, 29899, 6707, 19437, 1353, 363, 425, 10794, 297, 278, 1904, 5354, 29889, 13, 4706, 960, 19437, 29918, 1958, 338, 310, 2159, 313, 29876, 798, 29892, 302, 1054, 29897, 470, 313, 17608, 572, 29897, 425, 10794, 526, 5982, 373, 13, 4706, 2246, 310, 278, 1904, 322, 4837, 1711, 6631, 304, 9101, 297, 1904, 7546, 29871, 29896, 29889, 13, 4706, 960, 19437, 29918, 1958, 338, 310, 2159, 313, 29876, 8387, 29892, 302, 798, 29892, 302, 1054, 29897, 470, 313, 29876, 8387, 29892, 302, 29883, 572, 29897, 425, 10794, 13, 4706, 526, 15685, 297, 278, 1904, 5354, 322, 14698, 322, 11408, 19437, 13, 4706, 12368, 526, 3342, 29889, 13, 1678, 1178, 290, 475, 584, 938, 470, 29871, 299, 2378, 13, 4706, 4423, 310, 297, 4925, 9101, 29892, 607, 526, 3342, 411, 263, 5225, 995, 29889, 960, 263, 13, 308, 299, 2378, 338, 4502, 372, 1818, 367, 310, 2159, 313, 29876, 8387, 29892, 302, 798, 29892, 302, 1054, 29897, 470, 13, 4706, 313, 29876, 8387, 29892, 302, 29883, 572, 467, 13, 1678, 6592, 280, 557, 584, 29871, 299, 2378, 29892, 1051, 29892, 18761, 29892, 5785, 13, 4706, 6592, 24993, 749, 363, 425, 10794, 297, 278, 1904, 5354, 29889, 960, 6592, 280, 557, 338, 263, 5785, 278, 13, 4706, 1021, 6592, 24993, 749, 338, 7436, 304, 1269, 19437, 3957, 297, 278, 1904, 29889, 13, 4706, 960, 6592, 280, 557, 338, 310, 2159, 313, 29876, 798, 29892, 302, 1054, 29897, 470, 313, 17608, 572, 29897, 769, 599, 19437, 13, 4706, 12368, 363, 278, 3038, 333, 526, 2183, 278, 1021, 6592, 24993, 749, 995, 29889, 13, 13, 1678, 16969, 13, 1678, 448, 22158, 13, 1678, 1178, 290, 475, 584, 29871, 299, 279, 719, 13, 4706, 1178, 290, 475, 10365, 287, 304, 297, 11236, 403, 9101, 411, 425, 10794, 13, 1678, 3957, 29918, 8977, 584, 9657, 13, 4706, 8600, 411, 278, 5225, 29899, 6707, 19437, 1353, 6611, 322, 1353, 310, 13, 4706, 12368, 297, 263, 19437, 1819, 13, 1678, 3957, 1272, 584, 1051, 310, 8857, 13, 4706, 3957, 1272, 2908, 363, 278, 19437, 3577, 13, 13, 1678, 9995, 13, 13, 1678, 565, 1904, 7720, 29889, 7720, 29918, 1853, 297, 4852, 348, 4984, 2955, 613, 1125, 13, 4706, 12020, 7865, 2392, 29898, 13, 9651, 376, 348, 4984, 2955, 867, 4841, 451, 6969, 297, 679, 29918, 18170, 29918, 11958, 1953, 25318, 13, 4706, 1723, 13, 13, 1678, 15685, 353, 5852, 13, 1678, 8267, 29941, 29881, 353, 1904, 7720, 29889, 12181, 13, 1678, 8267, 29906, 29881, 353, 8267, 29941, 29881, 29961, 29896, 17531, 13, 13, 1678, 396, 3588, 304, 12655, 1409, 565, 5181, 13, 1678, 565, 338, 8758, 29898, 433, 446, 29918, 1958, 29892, 313, 1761, 29892, 18761, 22164, 13, 4706, 19437, 29918, 1958, 353, 7442, 29889, 2378, 29898, 433, 446, 29918, 1958, 29892, 26688, 29922, 9302, 29889, 524, 29941, 29906, 29897, 13, 1678, 25342, 338, 8758, 29898, 433, 446, 29918, 1958, 29892, 313, 524, 29892, 5785, 22164, 13, 4706, 12020, 20948, 29898, 13, 9651, 376, 433, 446, 29918, 1958, 1818, 367, 263, 341, 1278, 287, 4398, 29892, 29871, 299, 2378, 29892, 1051, 29892, 470, 18761, 29908, 13, 4706, 1723, 13, 13, 1678, 396, 14707, 19437, 29918, 1958, 8267, 13, 1678, 8267, 29918, 1958, 353, 19437, 29918, 1958, 29889, 12181, 13, 1678, 565, 8267, 29918, 1958, 2804, 8267, 29941, 29881, 29901, 13, 4706, 565, 8267, 29918, 1958, 2804, 8267, 29906, 29881, 29901, 13, 9651, 12020, 7865, 2392, 29898, 13, 18884, 376, 433, 446, 29918, 1958, 8267, 21313, 1800, 1818, 367, 5186, 304, 278, 6856, 8267, 363, 376, 13, 18884, 376, 4204, 7546, 21313, 1800, 1642, 4830, 29898, 12181, 29918, 1958, 29892, 8267, 29906, 29881, 29897, 13, 9651, 1723, 13, 4706, 1683, 29901, 13, 9651, 15685, 353, 7700, 13, 13, 1678, 396, 1889, 1178, 290, 475, 13, 1678, 565, 1178, 290, 475, 338, 6213, 29901, 13, 4706, 1178, 290, 475, 353, 7442, 29889, 2873, 29898, 12181, 29941, 29881, 29892, 26688, 29922, 9302, 29889, 524, 29941, 29906, 29897, 13, 1678, 25342, 338, 8758, 29898, 333, 290, 475, 29892, 938, 1125, 13, 4706, 1178, 290, 475, 353, 7442, 29889, 2873, 29898, 12181, 29941, 29881, 29892, 26688, 29922, 9302, 29889, 524, 29941, 29906, 29897, 334, 1178, 290, 475, 13, 1678, 25342, 338, 8758, 29898, 333, 290, 475, 29892, 313, 7411, 29892, 6120, 22164, 13, 4706, 12020, 7865, 2392, 703, 333, 290, 475, 1818, 367, 263, 6043, 1159, 13, 13, 1678, 396, 1423, 13391, 310, 1178, 290, 475, 13, 1678, 565, 1178, 290, 475, 29889, 12181, 2804, 8267, 29941, 29881, 29901, 13, 4706, 12020, 7865, 2392, 29898, 13, 9651, 376, 12181, 310, 1178, 290, 475, 376, 13, 9651, 376, 3319, 1800, 451, 5186, 304, 6571, 1642, 4830, 29898, 333, 290, 475, 29889, 12181, 29892, 8267, 29941, 29881, 29897, 13, 4706, 1723, 13, 13, 1678, 396, 3588, 6592, 280, 557, 304, 12655, 1409, 565, 5181, 13, 1678, 565, 338, 8758, 29898, 2580, 280, 557, 29892, 313, 7411, 29892, 938, 22164, 13, 4706, 6592, 280, 557, 353, 7442, 29889, 2873, 29898, 12181, 29906, 29881, 29892, 26688, 29922, 7411, 29897, 334, 5785, 29898, 2580, 280, 557, 29897, 13, 1678, 25342, 338, 8758, 29898, 2580, 280, 557, 29892, 313, 1761, 29892, 18761, 22164, 13, 4706, 6592, 280, 557, 353, 7442, 29889, 2378, 29898, 2580, 280, 557, 29892, 26688, 29922, 7411, 29897, 13, 13, 1678, 396, 679, 278, 1904, 6856, 11858, 800, 322, 10092, 19437, 29918, 1958, 773, 1178, 290, 475, 13, 1678, 396, 565, 19437, 338, 15685, 322, 297, 385, 297, 4925, 3038, 13, 1678, 565, 15685, 29901, 13, 4706, 11858, 800, 353, 1904, 7720, 29889, 3332, 29918, 7451, 29885, 13, 4706, 19437, 29918, 1958, 29961, 333, 290, 475, 529, 29871, 29896, 29962, 353, 448, 29896, 13, 1678, 1683, 29901, 13, 4706, 11858, 800, 353, 6213, 13, 13, 1678, 396, 8161, 565, 11105, 287, 1409, 29892, 297, 451, 3588, 304, 11105, 287, 1409, 13, 1678, 565, 451, 7442, 29889, 655, 29889, 275, 29918, 13168, 287, 29898, 433, 446, 29918, 1958, 1125, 13, 4706, 19437, 29918, 1958, 353, 7442, 29889, 655, 29889, 13168, 287, 29918, 3062, 29898, 433, 446, 29918, 1958, 529, 29871, 29900, 29892, 19437, 29918, 1958, 29897, 13, 13, 1678, 3957, 29918, 8977, 353, 6571, 13, 1678, 3957, 1272, 353, 5159, 13, 13, 1678, 396, 1284, 5412, 19437, 3694, 13, 1678, 5412, 353, 7442, 29889, 13092, 29898, 433, 446, 29918, 1958, 29897, 13, 13, 1678, 396, 19060, 425, 10794, 411, 19437, 3694, 3109, 1135, 29871, 29900, 13, 1678, 22645, 353, 7442, 29889, 3062, 29898, 13092, 1405, 448, 29896, 29897, 13, 1678, 5412, 353, 5412, 29961, 13140, 29962, 13, 13, 1678, 15414, 29892, 13475, 353, 6213, 29892, 6213, 13, 13, 1678, 396, 15685, 425, 10794, 13, 1678, 363, 19437, 29918, 4537, 297, 5412, 29901, 13, 4706, 16077, 3409, 353, 29871, 29900, 13, 4706, 16285, 353, 7442, 29889, 1191, 3062, 29898, 433, 446, 29918, 1958, 1275, 19437, 29918, 4537, 29897, 13, 4706, 363, 2380, 297, 16285, 29901, 13, 9651, 3038, 29918, 2248, 353, 18761, 29898, 2248, 29889, 25027, 391, 3101, 13, 9651, 565, 15685, 29901, 13, 18884, 24993, 29918, 1767, 353, 6592, 280, 557, 29961, 3729, 29918, 2248, 29961, 29896, 29901, 5262, 13, 18884, 565, 1904, 7720, 29889, 7720, 29918, 1853, 1275, 376, 4984, 2955, 1115, 13, 462, 1678, 565, 15414, 338, 6213, 29901, 13, 462, 4706, 921, 29894, 29892, 343, 29894, 353, 1904, 7720, 29889, 29916, 1765, 1575, 29892, 1904, 7720, 29889, 29891, 1765, 1575, 13, 462, 4706, 15414, 353, 921, 29894, 29961, 29900, 29892, 29871, 29896, 17531, 448, 921, 29894, 29961, 29900, 29892, 8956, 29896, 29962, 13, 462, 4706, 13475, 353, 343, 29894, 7503, 29899, 29896, 29892, 29871, 29900, 29962, 448, 343, 29894, 29961, 29896, 29901, 29892, 29871, 29900, 29962, 13, 462, 1678, 313, 13, 462, 4706, 3038, 4841, 29892, 13, 462, 4706, 3711, 29895, 8768, 29892, 13, 462, 4706, 367, 2608, 29879, 29892, 13, 462, 4706, 734, 2608, 29879, 29892, 13, 462, 4706, 11009, 29880, 575, 29892, 13, 462, 4706, 11009, 2103, 29879, 29892, 13, 462, 1678, 1723, 353, 4770, 4984, 2955, 29918, 433, 446, 29918, 11958, 1953, 29898, 13, 462, 4706, 19437, 29918, 1958, 29892, 1178, 290, 475, 29892, 3038, 29918, 2248, 29892, 15414, 29892, 13475, 29892, 11858, 800, 13, 462, 1678, 1723, 13, 18884, 25342, 1904, 7720, 29889, 7720, 29918, 1853, 1275, 376, 369, 4776, 1115, 13, 462, 1678, 12020, 2216, 1888, 2037, 287, 2392, 29898, 13, 462, 4706, 376, 17987, 7176, 425, 10794, 505, 451, 1063, 8762, 29908, 13, 462, 1678, 1723, 13, 9651, 1683, 29901, 13, 18884, 3038, 333, 353, 313, 29900, 29892, 29897, 718, 3038, 29918, 2248, 13, 18884, 24993, 29918, 1767, 353, 6592, 280, 557, 29961, 3729, 29918, 2248, 29962, 13, 18884, 565, 1178, 290, 475, 29961, 3729, 333, 29962, 1405, 29871, 29900, 29901, 13, 462, 1678, 3038, 4841, 353, 518, 3729, 333, 29962, 13, 462, 1678, 3711, 29895, 8768, 353, 6796, 18575, 3108, 13, 462, 1678, 367, 2608, 29879, 353, 518, 29900, 29889, 29900, 29962, 13, 462, 1678, 734, 2608, 29879, 353, 518, 29900, 29889, 29900, 29962, 13, 462, 1678, 11009, 29880, 575, 353, 518, 29900, 29889, 29900, 29962, 13, 462, 1678, 11009, 2103, 29879, 353, 518, 29900, 29889, 29900, 29962, 13, 18884, 1683, 29901, 13, 462, 1678, 3038, 4841, 353, 5159, 13, 462, 1678, 3711, 29895, 8768, 353, 5159, 13, 462, 1678, 367, 2608, 29879, 353, 5159, 13, 462, 1678, 734, 2608, 29879, 353, 5159, 13, 462, 1678, 11009, 29880, 575, 353, 5159, 13, 462, 1678, 11009, 2103, 29879, 353, 5159, 13, 13, 9651, 396, 13649, 1549, 1269, 3038, 333, 13, 9651, 363, 313, 3729, 333, 29892, 3711, 1193, 668, 29892, 367, 2608, 29892, 734, 2608, 29892, 11009, 2435, 29892, 11009, 2103, 29897, 297, 14319, 29898, 13, 18884, 3038, 4841, 29892, 3711, 29895, 8768, 29892, 367, 2608, 29879, 29892, 734, 2608, 29879, 29892, 11009, 29880, 575, 29892, 11009, 2103, 29879, 13, 632, 1125, 13, 18884, 3957, 1272, 29889, 4397, 29898, 13, 462, 1678, 518, 13, 462, 4706, 19437, 29918, 4537, 29892, 13, 462, 4706, 16077, 3409, 29892, 13, 462, 4706, 3038, 333, 7503, 1402, 13, 462, 4706, 3711, 1193, 668, 29892, 13, 462, 4706, 24993, 29918, 1767, 29892, 13, 462, 4706, 367, 2608, 29892, 13, 462, 4706, 734, 2608, 29892, 13, 462, 4706, 11009, 2435, 29892, 13, 462, 4706, 11009, 2103, 29892, 13, 462, 1678, 4514, 13, 18884, 1723, 13, 18884, 16077, 3409, 4619, 29871, 29896, 13, 13, 4706, 396, 731, 1353, 310, 12368, 363, 19437, 13, 4706, 3957, 29918, 8977, 29961, 433, 446, 29918, 4537, 29962, 353, 16077, 3409, 13, 13, 4706, 396, 10092, 1178, 290, 475, 363, 19437, 13, 4706, 565, 16077, 3409, 1405, 29871, 29900, 29901, 13, 9651, 22645, 353, 7442, 29889, 3062, 3552, 433, 446, 29918, 1958, 1275, 19437, 29918, 4537, 29897, 669, 313, 333, 290, 475, 1405, 29871, 29900, 876, 13, 9651, 1178, 290, 475, 29961, 13140, 29962, 353, 29871, 29900, 13, 13, 1678, 736, 1178, 290, 475, 29892, 3957, 29918, 8977, 29892, 3957, 1272, 13, 13, 13, 1753, 4770, 4984, 2955, 29918, 433, 446, 29918, 11958, 1953, 29898, 13, 1678, 19437, 29918, 1958, 29892, 1178, 290, 475, 29892, 3038, 29918, 2248, 29892, 15414, 29892, 13475, 29892, 11858, 800, 13, 1125, 13, 1678, 302, 8387, 29892, 302, 798, 29892, 302, 1054, 353, 19437, 29918, 1958, 29889, 12181, 13, 1678, 3038, 4841, 353, 5159, 13, 1678, 3711, 29895, 8768, 353, 5159, 13, 1678, 367, 2608, 29879, 353, 5159, 13, 1678, 734, 2608, 29879, 353, 5159, 13, 1678, 11009, 29880, 575, 353, 5159, 13, 1678, 11009, 2103, 29879, 353, 5159, 13, 13, 1678, 413, 29892, 474, 29892, 432, 353, 3038, 29918, 2248, 13, 13, 1678, 565, 1178, 290, 475, 29961, 3729, 29918, 2248, 29962, 1405, 29871, 29900, 29901, 13, 4706, 396, 1250, 3700, 13, 4706, 565, 474, 1405, 29871, 29900, 29901, 13, 9651, 4583, 353, 313, 29895, 29892, 474, 448, 29871, 29896, 29892, 432, 29897, 13, 9651, 7537, 353, 313, 29895, 718, 29871, 29896, 29892, 474, 448, 29871, 29896, 29892, 432, 29897, 13, 9651, 565, 7442, 29889, 655, 29889, 275, 29918, 13168, 287, 29898, 433, 446, 29918, 1958, 29961, 455, 2314, 322, 1178, 290, 475, 29961, 455, 29962, 1405, 29871, 29900, 29901, 13, 18884, 3038, 4841, 29889, 4397, 29898, 455, 29897, 13, 18884, 3711, 29895, 8768, 29889, 4397, 703, 22672, 1159, 13, 18884, 367, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 20752, 2314, 13, 18884, 734, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 455, 2314, 13, 18884, 11009, 29880, 575, 29889, 4397, 29898, 29900, 29889, 29945, 334, 13475, 29961, 29875, 448, 29871, 29896, 2314, 13, 18884, 11009, 2103, 29879, 29889, 4397, 29898, 8235, 29961, 29926, 2314, 13, 13, 4706, 396, 2175, 3700, 13, 4706, 565, 432, 1405, 29871, 29900, 29901, 13, 9651, 4583, 353, 313, 29895, 29892, 474, 29892, 432, 448, 29871, 29896, 29897, 13, 9651, 7537, 353, 313, 29895, 718, 29871, 29896, 29892, 474, 29892, 432, 448, 29871, 29896, 29897, 13, 9651, 565, 7442, 29889, 655, 29889, 275, 29918, 13168, 287, 29898, 433, 446, 29918, 1958, 29961, 455, 2314, 322, 1178, 290, 475, 29961, 455, 29962, 1405, 29871, 29900, 29901, 13, 18884, 3038, 4841, 29889, 4397, 29898, 455, 29897, 13, 18884, 3711, 29895, 8768, 29889, 4397, 703, 22672, 1159, 13, 18884, 367, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 20752, 2314, 13, 18884, 734, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 455, 2314, 13, 18884, 11009, 29880, 575, 29889, 4397, 29898, 29900, 29889, 29945, 334, 15414, 29961, 29926, 448, 29871, 29896, 2314, 13, 18884, 11009, 2103, 29879, 29889, 4397, 29898, 4518, 29961, 29875, 2314, 13, 13, 4706, 396, 1492, 3700, 13, 4706, 565, 432, 529, 302, 1054, 448, 29871, 29896, 29901, 13, 9651, 4583, 353, 313, 29895, 29892, 474, 29892, 432, 718, 29871, 29896, 29897, 13, 9651, 7537, 353, 313, 29895, 718, 29871, 29896, 29892, 474, 29892, 432, 718, 29871, 29896, 29897, 13, 9651, 565, 7442, 29889, 655, 29889, 275, 29918, 13168, 287, 29898, 433, 446, 29918, 1958, 29961, 455, 2314, 322, 1178, 290, 475, 29961, 455, 29962, 1405, 29871, 29900, 29901, 13, 18884, 3038, 4841, 29889, 4397, 29898, 455, 29897, 13, 18884, 3711, 29895, 8768, 29889, 4397, 703, 22672, 1159, 13, 18884, 367, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 20752, 2314, 13, 18884, 734, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 455, 2314, 13, 18884, 11009, 29880, 575, 29889, 4397, 29898, 29900, 29889, 29945, 334, 15414, 29961, 29926, 718, 29871, 29896, 2314, 13, 18884, 11009, 2103, 29879, 29889, 4397, 29898, 4518, 29961, 29875, 2314, 13, 13, 4706, 396, 4565, 3700, 13, 4706, 565, 474, 529, 302, 798, 448, 29871, 29896, 29901, 13, 9651, 4583, 353, 313, 29895, 29892, 474, 718, 29871, 29896, 29892, 432, 29897, 13, 9651, 7537, 353, 313, 29895, 718, 29871, 29896, 29892, 474, 718, 29871, 29896, 29892, 432, 29897, 13, 9651, 565, 7442, 29889, 655, 29889, 275, 29918, 13168, 287, 29898, 433, 446, 29918, 1958, 29961, 455, 2314, 322, 1178, 290, 475, 29961, 455, 29962, 1405, 29871, 29900, 29901, 13, 18884, 3038, 4841, 29889, 4397, 29898, 455, 29897, 13, 18884, 3711, 29895, 8768, 29889, 4397, 703, 22672, 1159, 13, 18884, 367, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 20752, 2314, 13, 18884, 734, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 455, 2314, 13, 18884, 11009, 29880, 575, 29889, 4397, 29898, 29900, 29889, 29945, 334, 13475, 29961, 29875, 718, 29871, 29896, 2314, 13, 18884, 11009, 2103, 29879, 29889, 4397, 29898, 8235, 29961, 29926, 2314, 13, 13, 4706, 396, 5224, 3700, 13, 4706, 565, 413, 529, 302, 8387, 448, 29871, 29896, 29901, 13, 9651, 4583, 353, 313, 29895, 718, 29871, 29896, 29892, 474, 29892, 432, 29897, 13, 9651, 565, 7442, 29889, 655, 29889, 275, 29918, 13168, 287, 29898, 433, 446, 29918, 1958, 29961, 455, 2314, 322, 1178, 290, 475, 29961, 455, 29962, 1405, 29871, 29900, 29901, 13, 18884, 3038, 4841, 29889, 4397, 29898, 455, 29897, 13, 18884, 3711, 29895, 8768, 29889, 4397, 703, 18575, 1159, 13, 18884, 367, 2608, 29879, 29889, 4397, 29898, 29900, 29889, 29900, 29897, 13, 18884, 734, 2608, 29879, 29889, 4397, 29898, 29900, 29889, 29900, 29897, 13, 18884, 11009, 29880, 575, 29889, 4397, 29898, 29900, 29889, 29900, 29897, 13, 18884, 11009, 2103, 29879, 29889, 4397, 29898, 29900, 29889, 29900, 29897, 13, 13, 1678, 736, 3038, 4841, 29892, 3711, 29895, 8768, 29892, 367, 2608, 29879, 29892, 734, 2608, 29879, 29892, 11009, 29880, 575, 29892, 11009, 2103, 29879, 13, 2 ]
SVMmodel_withSKF.py	tameney22/DCI-Capstone	0	3901	""" This script is where the preprocessed data is used to train the SVM model to perform the classification. I am using Stratified K-Fold Cross Validation to prevent bias and/or any imbalance that could affect the model's accuracy. REFERENCE: https://medium.com/@bedigunjit/simple-guide-to-text-classification-nlp-using-svm-and-naive-bayes-with-python-421db3a72d34 """ import numpy as np import pandas as pd from sklearn import model_selection, svm from sklearn.metrics import accuracy_score from sklearn.preprocessing import LabelEncoder from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.model_selection import StratifiedKFold # Open preproccessed csv df = pd.read_csv("preprocessed.csv", index_col=0) print(df.head()) print("SPLITTING TRAIN-TEST") x = df["Text"] y = df["PublicationTitle"] train_x, test_x, train_y, test_y = model_selection.train_test_split( df["Text"], df["PublicationTitle"], test_size=0.3) # Label encode the target variable to transform categorical data of string # type into numerical values the model can understand encoder = LabelEncoder() # train_y = encoder.fit_transform(train_y) # test_y = encoder.fit_transform(test_y) # Word vectorization # turning a collection of text documents into numerical feature vectors # We are using Term Frequency - Inverse Document tfidf_vect = TfidfVectorizer(max_features=5000) tfidf_vect.fit(df["Text"]) # train_x_tfidf = tfidf_vect.transform(train_x) # test_x_tfidf = tfidf_vect.transform(test_x) x_tfidf = tfidf_vect.transform(df["Text"]) y = encoder.fit_transform(y) # print(tfidf_vect.vocabulary_) # Fit the training dataset to the classifier print("TRAINING THE MODEL") SVM = svm.SVC(C=1.0, kernel='linear', degree=3, gamma='auto') skf = StratifiedKFold(n_splits=10, shuffle=True, random_state=1) accuracies = [] fold = 1 for train_idx, test_idx in skf.split(x, y): print("Working on fold", fold) x_train_fold, x_test_fold = x_tfidf[train_idx], x_tfidf[test_idx] y_train_fold, y_test_fold = y[train_idx], y[test_idx] SVM.fit(x_train_fold, y_train_fold) acc = SVM.score(x_test_fold, y_test_fold) print("Acc", fold, ":", acc) accuracies.append(acc) fold += 1 print("ACCURACIES:", accuracies) print("Max Accuracy:", np.max(accuracies)) print("Min Accuracy:", np.min(accuracies)) print("Mean of Accuracies:", np.mean(accuracies)) print("STD of Accuracies:", np.std(accuracies)) # print("RUNNING TEST PREDICTIONS") # predictions = SVM.predict(test_x_tfidf) # # Calculate accuracy score # accuracy = accuracy_score(test_y, predictions) # print("Accuracy:", str(accuracy * 100) + "%")	[ 1, 9995, 13, 4013, 2471, 338, 988, 278, 758, 5014, 287, 848, 338, 1304, 304, 7945, 278, 317, 9219, 1904, 304, 13, 19826, 278, 12965, 29889, 306, 626, 773, 3767, 271, 2164, 476, 29899, 29943, 1025, 11189, 15758, 362, 304, 29871, 13, 18921, 24003, 322, 29914, 272, 738, 527, 5521, 749, 393, 1033, 6602, 278, 1904, 29915, 29879, 13600, 29889, 13, 13, 25866, 1001, 1430, 4741, 29901, 2045, 597, 27891, 29889, 510, 29368, 2580, 335, 348, 29926, 277, 29914, 12857, 29899, 13075, 29899, 517, 29899, 726, 29899, 1990, 2450, 29899, 12938, 29886, 29899, 4746, 29899, 4501, 29885, 29899, 392, 29899, 1056, 573, 29899, 27495, 267, 29899, 2541, 29899, 4691, 29899, 29946, 29906, 29896, 2585, 29941, 29874, 29955, 29906, 29881, 29941, 29946, 13, 15945, 29908, 13, 13, 5215, 12655, 408, 7442, 13, 5215, 11701, 408, 10518, 13, 3166, 2071, 19668, 1053, 1904, 29918, 21731, 29892, 3731, 29885, 13, 3166, 2071, 19668, 29889, 2527, 10817, 1053, 13600, 29918, 13628, 13, 3166, 2071, 19668, 29889, 1457, 19170, 1053, 15796, 8566, 6119, 13, 3166, 2071, 19668, 29889, 14394, 29918, 1062, 13857, 29889, 726, 1053, 323, 29888, 333, 29888, 12877, 3950, 13, 3166, 2071, 19668, 29889, 4299, 29918, 21731, 1053, 3767, 271, 2164, 29968, 29943, 1025, 13, 13, 13, 29937, 4673, 758, 771, 1676, 287, 11799, 13, 2176, 353, 10518, 29889, 949, 29918, 7638, 703, 1457, 5014, 287, 29889, 7638, 613, 2380, 29918, 1054, 29922, 29900, 29897, 13, 2158, 29898, 2176, 29889, 2813, 3101, 13, 13, 2158, 703, 5550, 29931, 1806, 29911, 4214, 323, 4717, 1177, 29899, 18267, 1159, 13, 29916, 353, 4489, 3366, 1626, 3108, 13, 29891, 353, 4489, 3366, 19858, 362, 7030, 3108, 13, 13, 14968, 29918, 29916, 29892, 1243, 29918, 29916, 29892, 7945, 29918, 29891, 29892, 1243, 29918, 29891, 353, 1904, 29918, 21731, 29889, 14968, 29918, 1688, 29918, 5451, 29898, 13, 1678, 4489, 3366, 1626, 12436, 4489, 3366, 19858, 362, 7030, 12436, 1243, 29918, 2311, 29922, 29900, 29889, 29941, 29897, 13, 13, 29937, 15796, 19750, 278, 3646, 2286, 304, 4327, 11608, 936, 848, 310, 1347, 13, 29937, 1134, 964, 16259, 1819, 278, 1904, 508, 2274, 13, 13, 3977, 6119, 353, 15796, 8566, 6119, 580, 13, 29937, 7945, 29918, 29891, 353, 2094, 6119, 29889, 9202, 29918, 9067, 29898, 14968, 29918, 29891, 29897, 13, 29937, 1243, 29918, 29891, 353, 2094, 6119, 29889, 9202, 29918, 9067, 29898, 1688, 29918, 29891, 29897, 13, 13, 29937, 10803, 4608, 2133, 13, 29937, 14712, 263, 4333, 310, 1426, 10701, 964, 16259, 4682, 12047, 13, 29937, 1334, 526, 773, 11814, 3878, 23860, 448, 512, 3901, 10854, 13, 13264, 333, 29888, 29918, 345, 312, 353, 323, 29888, 333, 29888, 12877, 3950, 29898, 3317, 29918, 22100, 29922, 29945, 29900, 29900, 29900, 29897, 13, 13264, 333, 29888, 29918, 345, 312, 29889, 9202, 29898, 2176, 3366, 1626, 20068, 13, 13, 29937, 7945, 29918, 29916, 29918, 13264, 333, 29888, 353, 15886, 333, 29888, 29918, 345, 312, 29889, 9067, 29898, 14968, 29918, 29916, 29897, 13, 29937, 1243, 29918, 29916, 29918, 13264, 333, 29888, 353, 15886, 333, 29888, 29918, 345, 312, 29889, 9067, 29898, 1688, 29918, 29916, 29897, 13, 13, 29916, 29918, 13264, 333, 29888, 353, 15886, 333, 29888, 29918, 345, 312, 29889, 9067, 29898, 2176, 3366, 1626, 20068, 13, 29891, 353, 2094, 6119, 29889, 9202, 29918, 9067, 29898, 29891, 29897, 13, 13, 13, 29937, 1596, 29898, 13264, 333, 29888, 29918, 345, 312, 29889, 29894, 542, 370, 352, 653, 19925, 13, 13, 29937, 383, 277, 278, 6694, 8783, 304, 278, 770, 3709, 13, 2158, 703, 29911, 4717, 1177, 4214, 6093, 16999, 2287, 29931, 1159, 13, 7597, 29924, 353, 3731, 29885, 29889, 7597, 29907, 29898, 29907, 29922, 29896, 29889, 29900, 29892, 8466, 2433, 10660, 742, 7426, 29922, 29941, 29892, 330, 2735, 2433, 6921, 1495, 13, 13, 808, 29888, 353, 3767, 271, 2164, 29968, 29943, 1025, 29898, 29876, 29918, 23579, 1169, 29922, 29896, 29900, 29892, 528, 21897, 29922, 5574, 29892, 4036, 29918, 3859, 29922, 29896, 29897, 13, 5753, 2002, 2478, 353, 5159, 13, 13, 8771, 353, 29871, 29896, 13, 1454, 7945, 29918, 13140, 29892, 1243, 29918, 13140, 297, 2071, 29888, 29889, 5451, 29898, 29916, 29892, 343, 1125, 13, 1678, 1596, 703, 5531, 292, 373, 900, 29881, 613, 900, 29881, 29897, 13, 1678, 921, 29918, 14968, 29918, 8771, 29892, 921, 29918, 1688, 29918, 8771, 353, 921, 29918, 13264, 333, 29888, 29961, 14968, 29918, 13140, 1402, 921, 29918, 13264, 333, 29888, 29961, 1688, 29918, 13140, 29962, 13, 1678, 343, 29918, 14968, 29918, 8771, 29892, 343, 29918, 1688, 29918, 8771, 353, 343, 29961, 14968, 29918, 13140, 1402, 343, 29961, 1688, 29918, 13140, 29962, 13, 13, 1678, 317, 9219, 29889, 9202, 29898, 29916, 29918, 14968, 29918, 8771, 29892, 343, 29918, 14968, 29918, 8771, 29897, 13, 1678, 1035, 353, 317, 9219, 29889, 13628, 29898, 29916, 29918, 1688, 29918, 8771, 29892, 343, 29918, 1688, 29918, 8771, 29897, 13, 1678, 1596, 703, 7504, 613, 900, 29881, 29892, 29242, 613, 1035, 29897, 13, 1678, 1035, 2002, 2478, 29889, 4397, 29898, 5753, 29897, 13, 1678, 900, 29881, 4619, 29871, 29896, 13, 13, 13, 2158, 703, 2477, 22484, 2477, 29059, 29901, 613, 1035, 2002, 2478, 29897, 13, 2158, 703, 7976, 4831, 332, 4135, 29901, 613, 7442, 29889, 3317, 29898, 5753, 2002, 2478, 876, 13, 2158, 703, 8140, 4831, 332, 4135, 29901, 613, 7442, 29889, 1195, 29898, 5753, 2002, 2478, 876, 13, 2158, 703, 6816, 273, 310, 4831, 2002, 2478, 29901, 613, 7442, 29889, 12676, 29898, 5753, 2002, 2478, 876, 13, 2158, 703, 1254, 29928, 310, 4831, 2002, 2478, 29901, 613, 7442, 29889, 4172, 29898, 5753, 2002, 2478, 876, 13, 13, 29937, 1596, 703, 29934, 3904, 29940, 4214, 17067, 1254, 349, 1525, 4571, 9838, 29903, 1159, 13, 29937, 27303, 353, 317, 9219, 29889, 27711, 29898, 1688, 29918, 29916, 29918, 13264, 333, 29888, 29897, 13, 13, 29937, 396, 20535, 403, 13600, 8158, 13, 29937, 13600, 353, 13600, 29918, 13628, 29898, 1688, 29918, 29891, 29892, 27303, 29897, 13, 29937, 1596, 703, 7504, 332, 4135, 29901, 613, 851, 29898, 562, 2764, 4135, 334, 29871, 29896, 29900, 29900, 29897, 718, 11860, 1159, 13, 2 ]
src/Server.py	blyspyder/tf-fed-demo	5	165228	<gh_stars>1-10 import tensorflow as tf from tqdm import tqdm from Client import Clients import xlwt import numpy as np def gaussian_noise(input,std,client_id,sheet,j): length = len(input) sum=0 for i in range(length): source = input[i].copy() #noise= tf.random_normal(shape=tf.shape(input[i]),mean=0.0,stddev=std,dtype=tf.float32) noise = np.random.normal(loc=0.0,scale=std,size=input[i].shape) input[i] += noise dist = np.linalg.norm(source-input[i]) sum+=dist average = sum/length sheet.write(j,client_id,average) return input def buildClients(num): learning_rate = 0.0005#0.0002 num_input = 32 # image shape: 32*32 num_input_channel = 3 # image channel: 3 num_classes = 10 # Cifar-10 total classes (0-9 digits) #返回一定数量的clients return Clients(input_shape=[None, num_input, num_input, num_input_channel], num_classes=num_classes, learning_rate=learning_rate, clients_num=num) def run_global_test(client, global_vars, test_num, i, save=False,sheet=None): #测试输出acc和loss client.set_global_vars(global_vars) acc, loss = client.run_test(test_num,save) sheet.write(i,0,float(acc)) sheet.write(i,1,float(loss)) print("[epoch {}, {} inst] Testing ACC: {:.4f}, Loss: {:.4f}".format( ep + 1, test_num, acc, loss)) scales = [0.0005,0.05,0.2] for scale in scales: CLIENT_NUMBER = 4 #客户端数量 '''可尝试更高比例的客户端''' CLIENT_RATIO_PER_ROUND = 0.5 #每轮挑选的clients的比例 epoch = 260 #### CREATE CLIENT AND LOAD DATASET #### client = buildClients(CLIENT_NUMBER) workbook = xlwt.Workbook() sheet=workbook.add_sheet('0.0002') #### BEGIN TRAINING #### sheet2 = workbook.add_sheet('欧式距离') global_vars = client.get_client_vars() for ep in range(epoch): #收集client端的参数 client_vars_sum = None # 随机挑选client训练 random_clients = client.choose_clients(CLIENT_RATIO_PER_ROUND) # tqdm显示进度条 for client_id in tqdm(random_clients, ascii=True): #将sever端模型加载到tqdm上 client.set_global_vars(global_vars) # 训练这个下表的client client.train_epoch(cid=client_id) # 获取当前client的变量值 current_client_vars_norm = client.get_client_vars() #获得参数后如高斯白噪声 current_client_vars=gaussian_noise(current_client_vars_norm,scale,client_id,sheet2,ep) # 叠加各层参数 if client_vars_sum is None: client_vars_sum = current_client_vars else: for cv, ccv in zip(client_vars_sum, current_client_vars): cv += ccv # obtain the avg vars as global vars global_vars = [] for var in client_vars_sum: global_vars.append(var / len(random_clients)) # 测试集进行测试 run_global_test(client, global_vars, test_num=600,i=ep,sheet=sheet)#将结果写入到excel中 workbook.save('加噪scale={}结果.xls'.format(scale)) #### FINAL TEST #### #run_global_test(client, global_vars, test_num=10000)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 26110, 408, 15886, 13, 3166, 260, 29939, 18933, 1053, 260, 29939, 18933, 13, 3166, 12477, 1053, 315, 492, 1237, 13, 5215, 921, 29880, 14554, 13, 5215, 12655, 408, 7442, 13, 13, 13, 1753, 330, 17019, 29918, 1217, 895, 29898, 2080, 29892, 4172, 29892, 4645, 29918, 333, 29892, 9855, 29892, 29926, 1125, 13, 1678, 3309, 353, 7431, 29898, 2080, 29897, 13, 1678, 2533, 29922, 29900, 13, 1678, 363, 474, 297, 3464, 29898, 2848, 1125, 13, 4706, 2752, 353, 1881, 29961, 29875, 1822, 8552, 580, 13, 4706, 396, 1217, 895, 29922, 15886, 29889, 8172, 29918, 8945, 29898, 12181, 29922, 13264, 29889, 12181, 29898, 2080, 29961, 29875, 11724, 12676, 29922, 29900, 29889, 29900, 29892, 4172, 3359, 29922, 4172, 29892, 29881, 1853, 29922, 13264, 29889, 7411, 29941, 29906, 29897, 13, 4706, 11462, 353, 7442, 29889, 8172, 29889, 8945, 29898, 2029, 29922, 29900, 29889, 29900, 29892, 7052, 29922, 4172, 29892, 2311, 29922, 2080, 29961, 29875, 1822, 12181, 29897, 13, 4706, 1881, 29961, 29875, 29962, 4619, 11462, 13, 4706, 1320, 353, 7442, 29889, 29880, 979, 29887, 29889, 12324, 29898, 4993, 29899, 2080, 29961, 29875, 2314, 13, 4706, 2533, 23661, 5721, 13, 1678, 6588, 353, 2533, 29914, 2848, 13, 1678, 9869, 29889, 3539, 29898, 29926, 29892, 4645, 29918, 333, 29892, 12483, 482, 29897, 13, 1678, 736, 1881, 13, 13, 1753, 2048, 29907, 492, 1237, 29898, 1949, 1125, 13, 1678, 6509, 29918, 10492, 353, 29871, 29900, 29889, 29900, 29900, 29900, 29945, 29937, 29900, 29889, 29900, 29900, 29900, 29906, 13, 1678, 954, 29918, 2080, 353, 29871, 29941, 29906, 29871, 396, 1967, 8267, 29901, 29871, 29941, 29906, 29930, 29941, 29906, 13, 1678, 954, 29918, 2080, 29918, 12719, 353, 29871, 29941, 29871, 396, 1967, 8242, 29901, 29871, 29941, 13, 1678, 954, 29918, 13203, 353, 29871, 29896, 29900, 29871, 396, 315, 361, 279, 29899, 29896, 29900, 3001, 4413, 313, 29900, 29899, 29929, 13340, 29897, 13, 13, 1678, 396, 31086, 30742, 30287, 30495, 30354, 31180, 30210, 11303, 1237, 13, 1678, 736, 315, 492, 1237, 29898, 2080, 29918, 12181, 11759, 8516, 29892, 954, 29918, 2080, 29892, 954, 29918, 2080, 29892, 954, 29918, 2080, 29918, 12719, 1402, 13, 462, 29871, 954, 29918, 13203, 29922, 1949, 29918, 13203, 29892, 13, 462, 29871, 6509, 29918, 10492, 29922, 21891, 29918, 10492, 29892, 13, 462, 29871, 13154, 29918, 1949, 29922, 1949, 29897, 13, 13, 1753, 1065, 29918, 10945, 29918, 1688, 29898, 4645, 29892, 5534, 29918, 16908, 29892, 1243, 29918, 1949, 29892, 474, 29892, 4078, 29922, 8824, 29892, 9855, 29922, 8516, 1125, 13, 1678, 396, 31851, 31787, 31573, 30544, 5753, 30503, 6758, 13, 1678, 3132, 29889, 842, 29918, 10945, 29918, 16908, 29898, 10945, 29918, 16908, 29897, 13, 1678, 1035, 29892, 6410, 353, 3132, 29889, 3389, 29918, 1688, 29898, 1688, 29918, 1949, 29892, 7620, 29897, 13, 1678, 9869, 29889, 3539, 29898, 29875, 29892, 29900, 29892, 7411, 29898, 5753, 876, 13, 1678, 9869, 29889, 3539, 29898, 29875, 29892, 29896, 29892, 7411, 29898, 6758, 876, 13, 1678, 1596, 703, 29961, 1022, 2878, 24335, 6571, 832, 29962, 4321, 292, 319, 4174, 29901, 12365, 29889, 29946, 29888, 1118, 365, 2209, 29901, 12365, 29889, 29946, 29888, 29913, 1642, 4830, 29898, 13, 4706, 9358, 718, 29871, 29896, 29892, 1243, 29918, 1949, 29892, 1035, 29892, 6410, 876, 13, 13, 19529, 267, 353, 518, 29900, 29889, 29900, 29900, 29900, 29945, 29892, 29900, 29889, 29900, 29945, 29892, 29900, 29889, 29906, 29962, 13, 1454, 6287, 297, 23431, 29901, 13, 1678, 24492, 3919, 29918, 23207, 353, 29871, 29946, 396, 31915, 31229, 234, 174, 178, 30354, 31180, 13, 1678, 14550, 30682, 232, 179, 160, 31787, 31100, 30528, 31419, 31507, 30210, 31915, 31229, 234, 174, 178, 12008, 13, 1678, 24492, 3919, 29918, 29934, 1299, 5971, 29918, 13171, 29918, 1672, 18783, 353, 29871, 29900, 29889, 29945, 396, 31951, 235, 192, 177, 233, 143, 148, 31333, 30210, 11303, 1237, 30210, 31419, 31507, 13, 1678, 21502, 305, 353, 29871, 29906, 29953, 29900, 13, 13, 1678, 3191, 14602, 24492, 3919, 5300, 11247, 3035, 27640, 8127, 29911, 3191, 13, 1678, 3132, 353, 2048, 29907, 492, 1237, 29898, 27205, 3919, 29918, 23207, 29897, 13, 13, 1678, 664, 2909, 353, 921, 29880, 14554, 29889, 26501, 580, 13, 1678, 9869, 29922, 1287, 2909, 29889, 1202, 29918, 9855, 877, 29900, 29889, 29900, 29900, 29900, 29906, 1495, 13, 1678, 3191, 22815, 323, 4717, 1177, 4214, 3191, 13, 1678, 9869, 29906, 353, 664, 2909, 29889, 1202, 29918, 9855, 877, 233, 175, 170, 30607, 235, 186, 160, 234, 169, 190, 1495, 13, 13, 1678, 5534, 29918, 16908, 353, 3132, 29889, 657, 29918, 4645, 29918, 16908, 580, 13, 1678, 363, 9358, 297, 3464, 29898, 1022, 2878, 1125, 13, 4706, 396, 31997, 30893, 4645, 234, 174, 178, 30210, 31125, 30354, 13, 4706, 3132, 29918, 16908, 29918, 2083, 353, 6213, 13, 13, 4706, 396, 29871, 236, 157, 146, 31429, 233, 143, 148, 31333, 4645, 235, 177, 176, 234, 190, 134, 13, 4706, 4036, 29918, 11303, 1237, 353, 3132, 29889, 21803, 29918, 11303, 1237, 29898, 27205, 3919, 29918, 29934, 1299, 5971, 29918, 13171, 29918, 1672, 18783, 29897, 13, 13, 4706, 396, 260, 29939, 18933, 31542, 30858, 31174, 30898, 31217, 13, 4706, 363, 3132, 29918, 333, 297, 260, 29939, 18933, 29898, 8172, 29918, 11303, 1237, 29892, 408, 18869, 29922, 5574, 1125, 13, 9651, 396, 30998, 344, 369, 234, 174, 178, 31382, 30883, 30666, 31526, 30780, 29873, 29939, 18933, 30429, 13, 9651, 3132, 29889, 842, 29918, 10945, 29918, 16908, 29898, 10945, 29918, 16908, 29897, 13, 13, 9651, 396, 29871, 235, 177, 176, 234, 190, 134, 30810, 30502, 30557, 30746, 30210, 4645, 13, 9651, 3132, 29889, 14968, 29918, 1022, 2878, 29898, 25232, 29922, 4645, 29918, 333, 29897, 13, 13, 9651, 396, 29871, 31024, 30683, 30948, 30658, 4645, 30210, 31462, 31180, 30959, 13, 9651, 1857, 29918, 4645, 29918, 16908, 29918, 12324, 353, 3132, 29889, 657, 29918, 4645, 29918, 16908, 580, 13, 13, 9651, 396, 31024, 31050, 31125, 30354, 30822, 30847, 30528, 31824, 30868, 232, 156, 173, 232, 166, 179, 13, 9651, 1857, 29918, 4645, 29918, 16908, 29922, 29887, 17019, 29918, 1217, 895, 29898, 3784, 29918, 4645, 29918, 16908, 29918, 12324, 29892, 7052, 29892, 4645, 29918, 333, 29892, 9855, 29906, 29892, 1022, 29897, 13, 13, 9651, 396, 29871, 232, 146, 163, 30666, 232, 147, 135, 232, 180, 133, 31125, 30354, 13, 9651, 565, 3132, 29918, 16908, 29918, 2083, 338, 6213, 29901, 13, 18884, 3132, 29918, 16908, 29918, 2083, 353, 1857, 29918, 4645, 29918, 16908, 13, 9651, 1683, 29901, 13, 18884, 363, 13850, 29892, 274, 11023, 297, 14319, 29898, 4645, 29918, 16908, 29918, 2083, 29892, 1857, 29918, 4645, 29918, 16908, 1125, 13, 462, 1678, 13850, 4619, 274, 11023, 13, 13, 4706, 396, 4017, 278, 1029, 29887, 24987, 408, 5534, 24987, 13, 4706, 5534, 29918, 16908, 353, 5159, 13, 4706, 363, 722, 297, 3132, 29918, 16908, 29918, 2083, 29901, 13, 9651, 5534, 29918, 16908, 29889, 4397, 29898, 1707, 847, 7431, 29898, 8172, 29918, 11303, 1237, 876, 13, 13, 4706, 396, 29871, 31851, 31787, 30893, 31174, 30448, 31851, 31787, 13, 4706, 1065, 29918, 10945, 29918, 1688, 29898, 4645, 29892, 5534, 29918, 16908, 29892, 1243, 29918, 1949, 29922, 29953, 29900, 29900, 29892, 29875, 29922, 1022, 29892, 9855, 29922, 9855, 29897, 29937, 30998, 31320, 30801, 31479, 30752, 30780, 24633, 30275, 13, 1678, 664, 2909, 29889, 7620, 877, 30666, 232, 156, 173, 7052, 3790, 29913, 31320, 30801, 29889, 20267, 4286, 4830, 29898, 7052, 876, 13, 1678, 3191, 383, 1177, 1964, 17067, 1254, 3191, 13, 1678, 396, 3389, 29918, 10945, 29918, 1688, 29898, 4645, 29892, 5534, 29918, 16908, 29892, 1243, 29918, 1949, 29922, 29896, 29900, 29900, 29900, 29900, 29897, 13, 2 ]
split_image_4_quad.py	Karthik-Suresh93/fpn_visdrone	11	66619	<gh_stars>10-100 #!/usr/bin/env python3 # -- coding: utf-8 -- """ Created on Fri Jun 1 19:34:51 2018 @author: karthik """ import cv2 import os import csv PATH_IMAGE = "./JPEGImages/" PATH_annot = "./annotations_car_only_txt/" PATH_IMAGE_4 = "./JPEGImages_split_5000_0.15/" PATH_ANNOT_4 = "./Annotations_split_5000_0.15/" def divide_img_into_two_vertically(img, overlap_w): """ overlap_w: amount of overlap expressed as fraction of half the width of the image. or width of half a horizontally cut portion """ height, width = img.shape[:2] # Let's get the starting pixel coordiantes (top left of cropped top) start_row, start_col = int(0), int(0) # Let's get the ending pixel coordinates (bottom right of cropped top) end_row, end_col = int(height), int(width0.5 + overlap_wwidth0.5) cropped_left = img[start_row:end_row , start_col:end_col] # Let's get the starting pixel coordiantes (top left of cropped bottom) start_row, start_col = int(0), int(width0.5) #next half is not affected by overlap # Let's get the ending pixel coordinates (bottom right of cropped bottom) end_row, end_col = int(height), int(width) cropped_right = img[start_row:end_row , start_col:end_col] return(cropped_left, cropped_right) def divide_img_into_two_horizontally(img, overlap_h): height, width = img.shape[:2] # Let's get the starting pixel coordiantes (top left of cropped top) start_row, start_col = int(0), int(0) # Let's get the ending pixel coordinates (bottom right of cropped top) end_row, end_col = int(height0.5 + overlap_h0.5height), int(width) cropped_left = img[start_row:end_row , start_col:end_col] # Let's get the starting pixel coordiantes (top left of cropped bottom) start_row, start_col = int(height0.5), int(0) # Let's get the ending pixel coordinates (bottom right of cropped bottom) end_row, end_col = int(height), int(width) cropped_right = img[start_row:end_row , start_col:end_col] return(cropped_left, cropped_right) count_separated_anno=0 count_all_anno=0 def divide_img_into_four_overlap(img, overlap_w = 0.15, overlap_h = 0.15): l,r = divide_img_into_two_vertically(img, overlap_w) q1, q2 = divide_img_into_two_horizontally(l, overlap_h) q3, q4 = divide_img_into_two_horizontally(r, overlap_h) return q1,q2,q3,q4 # image_name = (str(os.listdir(PATH_IMAGE)[1])) # image = cv2.imread(PATH_IMAGE+ image_name) # q1,q2,q3,q4 = divide_img_into_four_overlap(image, overlap_w = 0, overlap_h = 0) # cv2.imwrite("./q1.jpg", q1) # cv2.imwrite("./q2.jpg", q2) # cv2.imwrite("./q3.jpg", q3) # cv2.imwrite("./q4.jpg", q4) def adjust_annotations(image_name, img, overlap_h=0.15, overlap_w=0.15): with open(PATH_annot + image_name.split(".")[0]+".txt") as f: lines = f.readlines() for line in lines: bbox = line.split(",")[0:4] [score, category, truncation, occlusion] = line.split(",")[4:8] assert int(category)<10, image_name xmin = int(bbox[0]) ymin = int(bbox[1]) xmax = int(bbox[2]) +xmin ymax = int(bbox[3]) +ymin assert xmin<xmax, "xmin>xmax!" assert ymin<ymax, "ymin>ymax!" h,w = img.shape[:2] overlap_adjust_w = 0.5overlap_ww overlap_adjust_h = 0.5overlap_hh #quadrant 1: left, top #annotations remain the same if ymax < h/2+overlap_adjust_h and xmax < w/2+overlap_adjust_w: full_line = [xmin, ymin, xmax-xmin, ymax-ymin, int(score), int(category),int(truncation), int(occlusion)] with open(PATH_ANNOT_4+image_name.split(".")[0]+"_1"+".txt", "a+") as f1: wr = csv.writer(f1) wr.writerow(full_line) #quadrant 2: left, bottom elif xmax < w/2+overlap_adjust_w and ymin >h/2: ymax = ymax - h/2 ymin = ymin - h/2 full_line = [xmin, ymin, xmax-xmin, ymax-ymin, int(score), int(category),int(truncation), int(occlusion)] with open(PATH_ANNOT_4+image_name.split(".")[0]+"_2"+".txt", "a+") as f2: wr = csv.writer(f2) wr.writerow(full_line) #quadrant 3: right, top elif xmin >w/2 and ymax < h/2 +overlap_adjust_h: xmin = xmin - w/2 xmax = xmax - w/2 full_line = [xmin, ymin, xmax-xmin, ymax-ymin, int(score), int(category),int(truncation), int(occlusion)] with open(PATH_ANNOT_4+image_name.split(".")[0]+"_3"+".txt", "a+") as f3: wr = csv.writer(f3) wr.writerow(full_line) #quadrant 4: right, bottom elif ymin > h/2 and xmin > w/2: ymin = ymin - h/2 ymax = ymax - h/2 xmin = xmin - w/2 xmax = xmax - w/2 full_line = [xmin, ymin, xmax-xmin, ymax-ymin, int(score), int(category),int(truncation), int(occlusion)] with open(PATH_ANNOT_4+image_name.split(".")[0]+"_4"+".txt", "a+") as f4: wr = csv.writer(f4) wr.writerow(full_line) else: #print ("bb is in none of the quadrants!") pass if __name__ == "__main__": for image_name in os.listdir(PATH_IMAGE): image = cv2.imread(PATH_IMAGE+image_name) #print(image.shape) # cs, ca= adjust_annotations(image_name, image,overlap=0.40) # l,r = divide_img_into_two(image) # one, two = divide_img_into_two(l) # three, four = divide_img_into_two(r) # one,two,three,four = divide_img_into_four_with_overlap(image, overlap_amount = 0.40) o_h = 0.15; o_w = 0.15 #SET OVERLAPS ALONG HEIGHT AND WIDTH RESPECTIVELY... q1,q2,q3,q4 = divide_img_into_four_overlap(image, overlap_h = o_h, overlap_w = o_w) cv2.imwrite(PATH_IMAGE_4+image_name.split(".")[0]+"_1"+".jpg", q1) cv2.imwrite(PATH_IMAGE_4+image_name.split(".")[0]+"_2"+".jpg", q2) cv2.imwrite(PATH_IMAGE_4+image_name.split(".")[0]+"_3"+".jpg", q3) cv2.imwrite(PATH_IMAGE_4+image_name.split(".")[0]+"_4"+".jpg", q4) adjust_annotations(image_name, image, overlap_h = o_h, overlap_w = o_w) #import matplotlib.pyplot as plt #plt.plot(list(range(12)), [class_list_original.count(i) for i in range(12)], color="b") #plt.plot(list(range(12)), [class_list_40.count(i) for i in range(12)], color="g") # #plt.show()	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29899, 29896, 29900, 29900, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 29941, 30004, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 30004, 13, 15945, 19451, 13, 20399, 373, 11169, 8378, 259, 29896, 29871, 29896, 29929, 29901, 29941, 29946, 29901, 29945, 29896, 29871, 29906, 29900, 29896, 29947, 30004, 13, 29992, 8921, 29901, 10856, 386, 638, 30004, 13, 15945, 19451, 13, 5215, 13850, 29906, 30004, 13, 5215, 2897, 30004, 13, 5215, 11799, 30004, 13, 10145, 29918, 2382, 353, 376, 6904, 29967, 4162, 29954, 20163, 12975, 30004, 13, 10145, 29918, 6735, 353, 376, 6904, 6735, 800, 29918, 4287, 29918, 6194, 29918, 3945, 12975, 30004, 13, 10145, 29918, 2382, 29918, 29946, 353, 376, 6904, 29967, 4162, 29954, 20163, 29918, 5451, 29918, 29945, 29900, 29900, 29900, 29918, 29900, 29889, 29896, 29945, 12975, 30004, 13, 30004, 13, 30004, 13, 10145, 29918, 2190, 12256, 29918, 29946, 353, 376, 6904, 2744, 1333, 800, 29918, 5451, 29918, 29945, 29900, 29900, 29900, 29918, 29900, 29889, 29896, 29945, 12975, 30004, 13, 30004, 13, 1753, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29918, 1765, 1711, 29898, 2492, 29892, 25457, 29918, 29893, 1125, 30004, 13, 30004, 13, 1678, 9995, 30004, 13, 1678, 25457, 29918, 29893, 29901, 5253, 310, 25457, 13384, 408, 15958, 310, 4203, 278, 2920, 310, 278, 1967, 29889, 470, 2920, 310, 4203, 263, 4029, 6753, 635, 5700, 11910, 30004, 13, 1678, 9995, 30004, 13, 1678, 3171, 29892, 2920, 353, 10153, 29889, 12181, 7503, 29906, 29962, 1678, 6756, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 6257, 15526, 29311, 29875, 3794, 313, 3332, 2175, 310, 8182, 2986, 2246, 8443, 13, 1678, 1369, 29918, 798, 29892, 1369, 29918, 1054, 353, 938, 29898, 29900, 511, 938, 29898, 29900, 8443, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 17140, 15526, 10350, 313, 8968, 1492, 310, 8182, 2986, 2246, 8443, 13, 1678, 1095, 29918, 798, 29892, 1095, 29918, 1054, 353, 938, 29898, 3545, 511, 938, 29898, 2103, 29930, 29900, 29889, 29945, 718, 25457, 29918, 29893, 29930, 2103, 29930, 29900, 29889, 29945, 8443, 13, 1678, 8182, 2986, 29918, 1563, 353, 10153, 29961, 2962, 29918, 798, 29901, 355, 29918, 798, 1919, 1369, 29918, 1054, 29901, 355, 29918, 1054, 29962, 539, 6756, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 6257, 15526, 29311, 29875, 3794, 313, 3332, 2175, 310, 8182, 2986, 5970, 8443, 13, 1678, 1369, 29918, 798, 29892, 1369, 29918, 1054, 353, 938, 29898, 29900, 511, 938, 29898, 2103, 29930, 29900, 29889, 29945, 29897, 259, 396, 4622, 4203, 338, 451, 15201, 491, 25457, 30004, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 17140, 15526, 10350, 313, 8968, 1492, 310, 8182, 2986, 5970, 8443, 13, 1678, 1095, 29918, 798, 29892, 1095, 29918, 1054, 353, 938, 29898, 3545, 511, 938, 29898, 2103, 8443, 13, 1678, 8182, 2986, 29918, 1266, 353, 10153, 29961, 2962, 29918, 798, 29901, 355, 29918, 798, 1919, 1369, 29918, 1054, 29901, 355, 29918, 1054, 29962, 1678, 6756, 13, 1678, 736, 29898, 24077, 2986, 29918, 1563, 29892, 8182, 2986, 29918, 1266, 8443, 13, 30004, 13, 1753, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29918, 2015, 6753, 635, 29898, 2492, 29892, 25457, 29918, 29882, 1125, 30004, 13, 1678, 6756, 13, 1678, 3171, 29892, 2920, 353, 10153, 29889, 12181, 7503, 29906, 29962, 259, 6756, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 6257, 15526, 29311, 29875, 3794, 313, 3332, 2175, 310, 8182, 2986, 2246, 8443, 13, 1678, 1369, 29918, 798, 29892, 1369, 29918, 1054, 353, 938, 29898, 29900, 511, 938, 29898, 29900, 8443, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 17140, 15526, 10350, 313, 8968, 1492, 310, 8182, 2986, 2246, 8443, 13, 1678, 1095, 29918, 798, 29892, 1095, 29918, 1054, 353, 938, 29898, 3545, 29930, 29900, 29889, 29945, 718, 25457, 29918, 29882, 29930, 29900, 29889, 29945, 29930, 3545, 511, 938, 29898, 2103, 8443, 13, 1678, 8182, 2986, 29918, 1563, 353, 10153, 29961, 2962, 29918, 798, 29901, 355, 29918, 798, 1919, 1369, 29918, 1054, 29901, 355, 29918, 1054, 29962, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 6257, 15526, 29311, 29875, 3794, 313, 3332, 2175, 310, 8182, 2986, 5970, 8443, 13, 1678, 1369, 29918, 798, 29892, 1369, 29918, 1054, 353, 938, 29898, 3545, 29930, 29900, 29889, 29945, 511, 938, 29898, 29900, 8443, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 17140, 15526, 10350, 313, 8968, 1492, 310, 8182, 2986, 5970, 8443, 13, 1678, 1095, 29918, 798, 29892, 1095, 29918, 1054, 353, 938, 29898, 3545, 511, 938, 29898, 2103, 8443, 13, 1678, 8182, 2986, 29918, 1266, 353, 10153, 29961, 2962, 29918, 798, 29901, 355, 29918, 798, 1919, 1369, 29918, 1054, 29901, 355, 29918, 1054, 29962, 1678, 6756, 13, 1678, 736, 29898, 24077, 2986, 29918, 1563, 29892, 8182, 2986, 29918, 1266, 8443, 13, 1678, 6756, 13, 2798, 29918, 25048, 630, 29918, 7665, 29922, 29900, 30004, 13, 2798, 29918, 497, 29918, 7665, 29922, 29900, 30004, 13, 30004, 13, 1753, 16429, 29918, 2492, 29918, 8941, 29918, 17823, 29918, 957, 6984, 29898, 2492, 29892, 25457, 29918, 29893, 353, 29871, 29900, 29889, 29896, 29945, 29892, 25457, 29918, 29882, 353, 29871, 29900, 29889, 29896, 29945, 1125, 30004, 13, 30004, 13, 1678, 301, 29892, 29878, 353, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29918, 1765, 1711, 29898, 2492, 29892, 25457, 29918, 29893, 8443, 13, 1678, 3855, 29896, 29892, 3855, 29906, 353, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29918, 2015, 6753, 635, 29898, 29880, 29892, 25457, 29918, 29882, 8443, 13, 1678, 3855, 29941, 29892, 3855, 29946, 353, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29918, 2015, 6753, 635, 29898, 29878, 29892, 25457, 29918, 29882, 8443, 13, 30004, 13, 1678, 736, 3855, 29896, 29892, 29939, 29906, 29892, 29939, 29941, 29892, 29939, 29946, 30004, 13, 30004, 13, 29937, 1967, 29918, 978, 353, 29871, 313, 710, 29898, 359, 29889, 1761, 3972, 29898, 10145, 29918, 2382, 9601, 29896, 12622, 30004, 13, 29937, 1967, 353, 29871, 13850, 29906, 29889, 326, 949, 29898, 10145, 29918, 2382, 29974, 1967, 29918, 978, 8443, 13, 29937, 3855, 29896, 29892, 29939, 29906, 29892, 29939, 29941, 29892, 29939, 29946, 353, 16429, 29918, 2492, 29918, 8941, 29918, 17823, 29918, 957, 6984, 29898, 3027, 29892, 25457, 29918, 29893, 353, 29871, 29900, 29892, 25457, 29918, 29882, 353, 29871, 29900, 8443, 13, 29937, 13850, 29906, 29889, 326, 3539, 703, 6904, 29939, 29896, 29889, 6173, 613, 3855, 29896, 8443, 13, 29937, 13850, 29906, 29889, 326, 3539, 703, 6904, 29939, 29906, 29889, 6173, 613, 3855, 29906, 8443, 13, 29937, 13850, 29906, 29889, 326, 3539, 703, 6904, 29939, 29941, 29889, 6173, 613, 3855, 29941, 8443, 13, 29937, 13850, 29906, 29889, 326, 3539, 703, 6904, 29939, 29946, 29889, 6173, 613, 3855, 29946, 8443, 13, 30004, 13, 1753, 10365, 29918, 6735, 800, 29898, 3027, 29918, 978, 29892, 10153, 29892, 25457, 29918, 29882, 29922, 29900, 29889, 29896, 29945, 29892, 25457, 29918, 29893, 29922, 29900, 29889, 29896, 29945, 1125, 30004, 13, 1678, 6756, 13, 1678, 411, 1722, 29898, 10145, 29918, 6735, 718, 1967, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 1642, 3945, 1159, 408, 285, 29901, 30004, 13, 4706, 3454, 353, 285, 29889, 949, 9012, 26471, 13, 4706, 363, 1196, 297, 3454, 29901, 30004, 13, 9651, 289, 1884, 353, 1196, 29889, 5451, 28165, 1159, 29961, 29900, 29901, 29946, 29962, 30004, 13, 9651, 518, 13628, 29892, 7663, 29892, 21022, 362, 29892, 2179, 29880, 3958, 29962, 353, 1196, 29889, 5451, 28165, 1159, 29961, 29946, 29901, 29947, 29962, 30004, 13, 9651, 4974, 938, 29898, 7320, 29897, 29966, 29896, 29900, 29892, 1967, 29918, 978, 30004, 13, 9651, 921, 1195, 353, 938, 29898, 29890, 1884, 29961, 29900, 2314, 30004, 13, 9651, 343, 1195, 353, 938, 29898, 29890, 1884, 29961, 29896, 2314, 30004, 13, 9651, 921, 3317, 353, 938, 29898, 29890, 1884, 29961, 29906, 2314, 718, 29916, 1195, 30004, 13, 9651, 343, 3317, 353, 938, 29898, 29890, 1884, 29961, 29941, 2314, 718, 962, 262, 30004, 13, 30004, 13, 9651, 4974, 921, 1195, 29966, 29916, 3317, 29892, 376, 29916, 1195, 29958, 29916, 3317, 3850, 30004, 13, 9651, 4974, 343, 1195, 29966, 29891, 3317, 29892, 376, 962, 262, 29958, 29891, 3317, 3850, 30004, 13, 30004, 13, 9651, 298, 29892, 29893, 353, 10153, 29889, 12181, 7503, 29906, 29962, 30004, 13, 9651, 25457, 29918, 328, 5143, 29918, 29893, 353, 29871, 29900, 29889, 29945, 29930, 957, 6984, 29918, 29893, 29930, 29893, 30004, 13, 9651, 25457, 29918, 328, 5143, 29918, 29882, 353, 29871, 29900, 29889, 29945, 29930, 957, 6984, 29918, 29882, 29930, 29882, 30004, 13, 9651, 396, 3425, 21867, 29871, 29896, 29901, 2175, 29892, 2246, 30004, 13, 9651, 396, 6735, 800, 3933, 278, 1021, 30004, 13, 9651, 565, 343, 3317, 529, 298, 29914, 29906, 29974, 957, 6984, 29918, 328, 5143, 29918, 29882, 322, 921, 3317, 529, 281, 29914, 29906, 29974, 957, 6984, 29918, 328, 5143, 29918, 29893, 29901, 30004, 13, 18884, 6756, 13, 18884, 2989, 29918, 1220, 353, 518, 29916, 1195, 29892, 343, 1195, 29892, 921, 3317, 29899, 29916, 1195, 29892, 343, 3317, 29899, 962, 262, 29892, 938, 29898, 13628, 511, 938, 29898, 7320, 511, 524, 29898, 509, 4661, 362, 511, 938, 29898, 542, 10085, 4638, 30004, 13, 18884, 411, 1722, 29898, 10145, 29918, 2190, 12256, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29896, 17969, 1642, 3945, 613, 376, 29874, 29974, 1159, 408, 285, 29896, 29901, 30004, 13, 462, 1678, 2358, 353, 11799, 29889, 13236, 29898, 29888, 29896, 8443, 13, 462, 1678, 2358, 29889, 13236, 340, 29898, 8159, 29918, 1220, 8443, 13, 30004, 13, 9651, 396, 3425, 21867, 29871, 29906, 29901, 2175, 29892, 5970, 30004, 13, 30004, 13, 9651, 25342, 921, 3317, 529, 281, 29914, 29906, 29974, 957, 6984, 29918, 328, 5143, 29918, 29893, 322, 343, 1195, 1405, 29882, 29914, 29906, 29901, 30004, 13, 18884, 343, 3317, 353, 343, 3317, 448, 298, 29914, 29906, 30004, 13, 18884, 343, 1195, 353, 343, 1195, 448, 298, 29914, 29906, 30004, 13, 18884, 2989, 29918, 1220, 353, 518, 29916, 1195, 29892, 343, 1195, 29892, 921, 3317, 29899, 29916, 1195, 29892, 343, 3317, 29899, 962, 262, 29892, 938, 29898, 13628, 511, 938, 29898, 7320, 511, 524, 29898, 509, 4661, 362, 511, 938, 29898, 542, 10085, 4638, 30004, 13, 18884, 411, 1722, 29898, 10145, 29918, 2190, 12256, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29906, 17969, 1642, 3945, 613, 376, 29874, 29974, 1159, 408, 285, 29906, 29901, 30004, 13, 462, 1678, 2358, 353, 11799, 29889, 13236, 29898, 29888, 29906, 8443, 13, 462, 1678, 2358, 29889, 13236, 340, 29898, 8159, 29918, 1220, 8443, 13, 9651, 396, 3425, 21867, 29871, 29941, 29901, 1492, 29892, 2246, 30004, 13, 30004, 13, 9651, 25342, 921, 1195, 1405, 29893, 29914, 29906, 322, 343, 3317, 529, 298, 29914, 29906, 718, 957, 6984, 29918, 328, 5143, 29918, 29882, 29901, 30004, 13, 18884, 921, 1195, 353, 921, 1195, 448, 281, 29914, 29906, 30004, 13, 18884, 921, 3317, 353, 921, 3317, 448, 281, 29914, 29906, 30004, 13, 18884, 2989, 29918, 1220, 353, 518, 29916, 1195, 29892, 343, 1195, 29892, 921, 3317, 29899, 29916, 1195, 29892, 343, 3317, 29899, 962, 262, 29892, 938, 29898, 13628, 511, 938, 29898, 7320, 511, 524, 29898, 509, 4661, 362, 511, 938, 29898, 542, 10085, 4638, 30004, 13, 18884, 411, 1722, 29898, 10145, 29918, 2190, 12256, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29941, 17969, 1642, 3945, 613, 376, 29874, 29974, 1159, 408, 285, 29941, 29901, 30004, 13, 462, 1678, 2358, 353, 11799, 29889, 13236, 29898, 29888, 29941, 8443, 13, 462, 1678, 2358, 29889, 13236, 340, 29898, 8159, 29918, 1220, 8443, 13, 30004, 13, 9651, 396, 3425, 21867, 29871, 29946, 29901, 1492, 29892, 5970, 30004, 13, 9651, 25342, 343, 1195, 1405, 298, 29914, 29906, 322, 921, 1195, 1405, 281, 29914, 29906, 29901, 30004, 13, 18884, 343, 1195, 353, 343, 1195, 448, 298, 29914, 29906, 30004, 13, 18884, 343, 3317, 353, 343, 3317, 448, 298, 29914, 29906, 30004, 13, 18884, 921, 1195, 353, 921, 1195, 448, 281, 29914, 29906, 30004, 13, 18884, 921, 3317, 353, 921, 3317, 448, 281, 29914, 29906, 30004, 13, 18884, 2989, 29918, 1220, 353, 518, 29916, 1195, 29892, 343, 1195, 29892, 921, 3317, 29899, 29916, 1195, 29892, 343, 3317, 29899, 962, 262, 29892, 938, 29898, 13628, 511, 938, 29898, 7320, 511, 524, 29898, 509, 4661, 362, 511, 938, 29898, 542, 10085, 4638, 30004, 13, 18884, 411, 1722, 29898, 10145, 29918, 2190, 12256, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29946, 17969, 1642, 3945, 613, 376, 29874, 29974, 1159, 408, 285, 29946, 29901, 30004, 13, 462, 1678, 2358, 353, 11799, 29889, 13236, 29898, 29888, 29946, 8443, 13, 462, 1678, 2358, 29889, 13236, 340, 29898, 8159, 29918, 1220, 8443, 13, 30004, 13, 9651, 1683, 29901, 30004, 13, 18884, 396, 2158, 4852, 1327, 338, 297, 5642, 310, 278, 15448, 1934, 29991, 1159, 30004, 13, 18884, 1209, 30004, 13, 30004, 13, 30004, 13, 30004, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 30004, 13, 1678, 363, 1967, 29918, 978, 297, 2897, 29889, 1761, 3972, 29898, 10145, 29918, 2382, 1125, 30004, 13, 4706, 1967, 353, 13850, 29906, 29889, 326, 949, 29898, 10145, 29918, 2382, 29974, 3027, 29918, 978, 8443, 13, 4706, 396, 2158, 29898, 3027, 29889, 12181, 8443, 13, 4706, 396, 5939, 29892, 5777, 29922, 10365, 29918, 6735, 800, 29898, 3027, 29918, 978, 29892, 1967, 29892, 957, 6984, 29922, 29900, 29889, 29946, 29900, 8443, 13, 1678, 396, 1678, 301, 29892, 29878, 353, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29898, 3027, 8443, 13, 1678, 396, 1678, 697, 29892, 1023, 353, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29898, 29880, 8443, 13, 1678, 396, 1678, 2211, 29892, 3023, 353, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29898, 29878, 8443, 13, 1678, 396, 697, 29892, 10184, 29892, 17536, 29892, 17823, 353, 16429, 29918, 2492, 29918, 8941, 29918, 17823, 29918, 2541, 29918, 957, 6984, 29898, 3027, 29892, 25457, 29918, 14506, 353, 29871, 29900, 29889, 29946, 29900, 8443, 13, 4706, 288, 29918, 29882, 353, 29871, 29900, 29889, 29896, 29945, 29936, 288, 29918, 29893, 353, 29871, 29900, 29889, 29896, 29945, 396, 10490, 438, 5348, 29931, 3301, 29903, 14445, 20614, 17714, 22530, 5300, 399, 1367, 4690, 390, 2890, 4162, 1783, 5667, 6670, 29979, 856, 30004, 13, 4706, 3855, 29896, 29892, 29939, 29906, 29892, 29939, 29941, 29892, 29939, 29946, 353, 16429, 29918, 2492, 29918, 8941, 29918, 17823, 29918, 957, 6984, 29898, 3027, 29892, 25457, 29918, 29882, 353, 288, 29918, 29882, 29892, 25457, 29918, 29893, 353, 288, 29918, 29893, 8443, 13, 4706, 13850, 29906, 29889, 326, 3539, 29898, 10145, 29918, 2382, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29896, 17969, 1642, 6173, 613, 3855, 29896, 8443, 13, 4706, 13850, 29906, 29889, 326, 3539, 29898, 10145, 29918, 2382, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29906, 17969, 1642, 6173, 613, 3855, 29906, 8443, 13, 4706, 13850, 29906, 29889, 326, 3539, 29898, 10145, 29918, 2382, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29941, 17969, 1642, 6173, 613, 3855, 29941, 8443, 13, 4706, 13850, 29906, 29889, 326, 3539, 29898, 10145, 29918, 2382, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29946, 17969, 1642, 6173, 613, 3855, 29946, 8443, 13, 4706, 10365, 29918, 6735, 800, 29898, 3027, 29918, 978, 29892, 1967, 29892, 25457, 29918, 29882, 353, 288, 29918, 29882, 29892, 25457, 29918, 29893, 353, 288, 29918, 29893, 8443, 13, 1678, 6756, 13, 29937, 5215, 22889, 29889, 2272, 5317, 408, 14770, 30004, 13, 29937, 572, 29873, 29889, 5317, 29898, 1761, 29898, 3881, 29898, 29896, 29906, 8243, 518, 1990, 29918, 1761, 29918, 13492, 29889, 2798, 29898, 29875, 29897, 363, 474, 297, 3464, 29898, 29896, 29906, 29897, 1402, 2927, 543, 29890, 1159, 30004, 13, 29937, 572, 29873, 29889, 5317, 29898, 1761, 29898, 3881, 29898, 29896, 29906, 8243, 518, 1990, 29918, 1761, 29918, 29946, 29900, 29889, 2798, 29898, 29875, 29897, 363, 474, 297, 3464, 29898, 29896, 29906, 29897, 1402, 2927, 543, 29887, 1159, 30004, 13, 29937, 30004, 13, 29937, 572, 29873, 29889, 4294, 26471, 13, 2 ]
pyeem/instruments/horiba/__init__.py	drewmee/PyEEM	4	36675	<reponame>drewmee/PyEEM<filename>pyeem/instruments/horiba/__init__.py<gh_stars>1-10 from .aqualog import Aqualog from .fluorolog import Fluorolog name = "Horiba" instruments = [Aqualog, Fluorolog]	[ 1, 529, 276, 1112, 420, 29958, 29881, 3973, 17897, 29914, 19737, 29923, 12665, 29966, 9507, 29958, 2272, 29872, 331, 29914, 2611, 582, 1860, 29914, 2015, 16912, 29914, 1649, 2344, 26914, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 3166, 869, 29874, 15380, 468, 1053, 319, 15380, 468, 13, 3166, 869, 25044, 272, 1189, 1053, 2379, 29884, 272, 1189, 13, 13, 978, 353, 376, 17241, 16912, 29908, 13, 2611, 582, 1860, 353, 518, 29909, 15380, 468, 29892, 2379, 29884, 272, 1189, 29962, 13, 2 ]
Weather_Trends.py	dsllt/Udacity_DA_P1	0	113704	import pandas as pd import matplotlib.pyplot as plt import os # Set working directory os.chdir('/Users/dayanesallet/Documents/_Educação/Data Analyst Nanodegree/Weather Project/Data') # Import data PortoAlegre_temp = pd.read_csv('./PortoAlegre_Temperature_Data.csv') World_temp = pd.read_csv('./World_Temperature_Data.csv') Perth_temp = pd.read_csv('./Perth_Temperature_Data.csv') NY_temp = pd.read_csv('./NovaYORK_Temperature_Data.csv') Paris_temp = pd.read_csv('./Paris_Temperature_Data.csv') # Compute moving avarage PortoAlegre_temp_ma = PortoAlegre_temp['avg_temp'].rolling(window=7).mean() World_temp_ma = World_temp['avg_temp'].rolling(window=7).mean() Perth_temp_ma = Perth_temp['avg_temp'].rolling(window=7).mean() NY_temp_ma = NY_temp['avg_temp'].rolling(window=7).mean() Paris_temp_ma = Paris_temp['avg_temp'].rolling(window=7).mean() # Insert new column in the dataframe with the computed moving avareges PortoAlegre_temp.insert(4,'7-year Moving Avarage', PortoAlegre_temp_ma) World_temp.insert(2,'7-year Moving Avarage', World_temp_ma) Perth_temp.insert(2,'7-year Moving Avarage', Perth_temp_ma) NY_temp.insert(2,'7-year Moving Avarage', NY_temp_ma) Paris_temp.insert(2,'7-year Moving Avarage', Paris_temp_ma) # Verify NaN values PortoAlegre_temp['7-year Moving Avarage'].isnull().any() PortoAlegre_temp['7-year Moving Avarage'].isnull().sum() World_temp['7-year Moving Avarage'].isnull().any() World_temp['7-year Moving Avarage'].isnull().sum() # Plot the data # Moving Avarage Comparisson plt.plot(World_temp['year'],World_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'World') plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'Porto Alegre') plt.xlabel('Year') plt.ylabel('Moving Avarege Temperature (ºC) \n 7-year window') plt.title("Comparison of Porto Alegre and the world's \n temperature (ºC) over the years", fontweight = 'bold') plt.axis([1838,2013,7,19.5]) plt.legend() plt.grid(True) plt.savefig('Moving Avarage Comparisson',dpi = 300,bbox_inches='tight') plt.show() # Porto Alegre mean temperature variation plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['avg_temp'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.xlabel('Year') plt.ylabel('Mean Temperature (ºC)') plt.title("Mean temperature (ºC) variation in\n Porto Alegre over the years", fontweight = 'bold') plt.axis([1832,2013,16.5,20]) plt.grid(True) plt.savefig('Porto Alegre mean temperature variation',dpi = 300,bbox_inches='tight') plt.show() # Porto Alegre moving avarage temperature variation plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.xlabel('Year') plt.ylabel('Moving Avarege Temperature (ºC) \n 7-year window') plt.title("Moving avarage temperature (ºC) variation in\n Porto Alegre over the years", fontweight = 'bold') plt.axis([1832,2013,16.5,20]) plt.grid(True) plt.savefig('Porto Alegre moving avarage temperature variation',dpi = 300,bbox_inches='tight') plt.show() # World mean temperature variation plt.plot(World_temp['year'],World_temp['avg_temp'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.xlabel('Year') plt.ylabel('Mean Temperature (ºC)') plt.title("Mean temperature (ºC) variation in\n the world over the years", fontweight = 'bold') plt.axis([1750,2013,5.5,10]) plt.grid(True) plt.savefig('World mean temperature variation',dpi = 300,bbox_inches='tight') plt.show() # World moving avarage temperature variation plt.plot(World_temp['year'],World_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.xlabel('Year') plt.ylabel('Moving Avarege Temperature (ºC) \n 7-year window') plt.title("Moving avarage temperature (ºC) variation in\n the world over the years", fontweight = 'bold') plt.axis([1750,2013,6.5,10]) plt.grid(True) plt.savefig('World moving avarage temperature variation',dpi = 300,bbox_inches='tight') plt.show() # Subplot plt.figure(figsize=(6, 4)) plt.subplot(2, 1, 1) plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['avg_temp'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.title("Porto Alegre mean temperature variation", fontweight = 'bold') plt.xlabel('Year') plt.ylabel('Avarege \n Temperature (ºC)') plt.grid(True) plt.subplot(2, 1, 2) plt.plot(World_temp['year'],World_temp['avg_temp'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.title("World mean temperature variation", fontweight = 'bold') plt.xlabel('Year') plt.ylabel('Avarege \n Temperature (ºC)') plt.grid(True) plt.tight_layout() plt.savefig('Mean_Temp_POA_W',dpi = 300,bbox_inches='tight') plt.show() plt.figure(figsize=(6, 4)) plt.subplot(2, 1, 1) plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.title("Porto Alegre moving average temperature variation", fontweight = 'bold') plt.xlabel('Year') plt.ylabel('Moving Avarege \n Temperature (ºC)') plt.grid(True) plt.subplot(2, 1, 2) plt.plot(World_temp['year'],World_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.title("World moving average temperature variation", fontweight = 'bold') plt.xlabel('Year') plt.ylabel('Moving Avarege \n Temperature (ºC)') plt.grid(True) plt.tight_layout() plt.savefig('Moving_Temp_POA_W',dpi = 300,bbox_inches='tight') plt.show() # Additional computations for comparisson # avg_temp_POA = PortoAlegre_temp['avg_temp'].mean() avg_temp_World = World_temp['avg_temp'][-len(PortoAlegre_temp['year'])-2:-2].mean() diff_avg_temp = avg_temp_POA - avg_temp_World PortoAlegre_temp.corrwith(World_temp[-len(PortoAlegre_temp['year'])-2:-2]) plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'Porto Alegre') plt.plot(Perth_temp['year'],Perth_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'Perth') plt.plot(Paris_temp['year'],Paris_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'Paris') plt.plot(NY_temp['year'],NY_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'New York') plt.plot(World_temp['year'],World_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'World') plt.xlabel('Year') plt.ylabel('Moving Avarege Temperature (ºC) \n 7-year window') plt.title("Comparison of different cities and the world's \n temperature (ºC) over the years", fontweight = 'bold') plt.axis([1838,2013,7,19.5]) plt.legend() plt.grid(True) plt.savefig('Multiple Cities Moving Avarage Comparisson',dpi = 300,bbox_inches='tight') plt.show()	[ 1, 1053, 11701, 408, 10518, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 5215, 2897, 13, 29937, 3789, 1985, 3884, 13, 359, 29889, 305, 3972, 11219, 5959, 29914, 3250, 17297, 284, 1026, 29914, 20128, 19891, 29923, 700, 29883, 562, 207, 170, 29874, 30478, 29877, 29914, 1469, 11597, 858, 25701, 356, 29887, 929, 29914, 4806, 1624, 8010, 29914, 1469, 1495, 13, 13, 29937, 16032, 848, 13, 2290, 29877, 29909, 1397, 276, 29918, 7382, 353, 10518, 29889, 949, 29918, 7638, 877, 6904, 2290, 29877, 29909, 1397, 276, 29918, 5776, 546, 1535, 29918, 1469, 29889, 7638, 1495, 13, 14058, 29918, 7382, 353, 10518, 29889, 949, 29918, 7638, 877, 6904, 14058, 29918, 5776, 546, 1535, 29918, 1469, 29889, 7638, 1495, 13, 5894, 386, 29918, 7382, 353, 10518, 29889, 949, 29918, 7638, 877, 6904, 5894, 386, 29918, 5776, 546, 1535, 29918, 1469, 29889, 7638, 1495, 13, 29940, 29979, 29918, 7382, 353, 10518, 29889, 949, 29918, 7638, 877, 6904, 29940, 4273, 29979, 1955, 29968, 29918, 5776, 546, 1535, 29918, 1469, 29889, 7638, 1495, 13, 2177, 275, 29918, 7382, 353, 10518, 29889, 949, 29918, 7638, 877, 6904, 2177, 275, 29918, 5776, 546, 1535, 29918, 1469, 29889, 7638, 1495, 13, 13, 29937, 11796, 29872, 8401, 1029, 279, 482, 13, 2290, 29877, 29909, 1397, 276, 29918, 7382, 29918, 655, 353, 24804, 29909, 1397, 276, 29918, 7382, 1839, 485, 29887, 29918, 7382, 13359, 22155, 29898, 7165, 29922, 29955, 467, 12676, 580, 13, 14058, 29918, 7382, 29918, 655, 353, 2787, 29918, 7382, 1839, 485, 29887, 29918, 7382, 13359, 22155, 29898, 7165, 29922, 29955, 467, 12676, 580, 13, 5894, 386, 29918, 7382, 29918, 655, 353, 2431, 386, 29918, 7382, 1839, 485, 29887, 29918, 7382, 13359, 22155, 29898, 7165, 29922, 29955, 467, 12676, 580, 13, 29940, 29979, 29918, 7382, 29918, 655, 353, 23526, 29918, 7382, 1839, 485, 29887, 29918, 7382, 13359, 22155, 29898, 7165, 29922, 29955, 467, 12676, 580, 13, 2177, 275, 29918, 7382, 29918, 655, 353, 3681, 29918, 7382, 1839, 485, 29887, 29918, 7382, 13359, 22155, 29898, 7165, 29922, 29955, 467, 12676, 580, 13, 13, 29937, 24505, 716, 1897, 297, 278, 12205, 411, 278, 15712, 8401, 1029, 598, 2710, 13, 2290, 29877, 29909, 1397, 276, 29918, 7382, 29889, 7851, 29898, 29946, 5501, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 742, 24804, 29909, 1397, 276, 29918, 7382, 29918, 655, 29897, 13, 14058, 29918, 7382, 29889, 7851, 29898, 29906, 5501, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 742, 2787, 29918, 7382, 29918, 655, 29897, 13, 5894, 386, 29918, 7382, 29889, 7851, 29898, 29906, 5501, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 742, 2431, 386, 29918, 7382, 29918, 655, 29897, 13, 29940, 29979, 29918, 7382, 29889, 7851, 29898, 29906, 5501, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 742, 23526, 29918, 7382, 29918, 655, 29897, 13, 2177, 275, 29918, 7382, 29889, 7851, 29898, 29906, 5501, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 742, 3681, 29918, 7382, 29918, 655, 29897, 13, 13, 29937, 1798, 1598, 18780, 1819, 13, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 13359, 275, 4304, 2141, 1384, 580, 13, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 13359, 275, 4304, 2141, 2083, 580, 13, 14058, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 13359, 275, 4304, 2141, 1384, 580, 13, 14058, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 13359, 275, 4304, 2141, 2083, 580, 13, 13, 29937, 18399, 278, 848, 13, 29937, 14104, 292, 319, 1707, 482, 28663, 17387, 13, 572, 29873, 29889, 5317, 29898, 14058, 29918, 7382, 1839, 6360, 7464, 14058, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 14058, 1495, 13, 572, 29873, 29889, 5317, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 7464, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 2290, 29877, 319, 1397, 276, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29924, 21081, 319, 5280, 479, 6789, 546, 1535, 313, 30105, 29907, 29897, 320, 29876, 29871, 29955, 29899, 6360, 3474, 1495, 13, 572, 29873, 29889, 3257, 703, 1523, 20941, 310, 24804, 319, 1397, 276, 322, 278, 3186, 29915, 29879, 320, 29876, 10430, 313, 30105, 29907, 29897, 975, 278, 2440, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 8990, 4197, 29896, 29947, 29941, 29947, 29892, 29906, 29900, 29896, 29941, 29892, 29955, 29892, 29896, 29929, 29889, 29945, 2314, 13, 572, 29873, 29889, 26172, 580, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 572, 29873, 29889, 7620, 1003, 877, 29924, 21081, 319, 1707, 482, 28663, 17387, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 29937, 24804, 319, 1397, 276, 2099, 10430, 19262, 13, 572, 29873, 29889, 5317, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 7464, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 485, 29887, 29918, 7382, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 6816, 273, 6789, 546, 1535, 313, 30105, 29907, 29897, 1495, 13, 572, 29873, 29889, 3257, 703, 6816, 273, 10430, 313, 30105, 29907, 29897, 19262, 297, 29905, 29876, 24804, 319, 1397, 276, 29871, 975, 278, 2440, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 8990, 4197, 29896, 29947, 29941, 29906, 29892, 29906, 29900, 29896, 29941, 29892, 29896, 29953, 29889, 29945, 29892, 29906, 29900, 2314, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 572, 29873, 29889, 7620, 1003, 877, 2290, 29877, 319, 1397, 276, 2099, 10430, 19262, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 29937, 24804, 319, 1397, 276, 8401, 1029, 279, 482, 10430, 19262, 13, 572, 29873, 29889, 5317, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 7464, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29924, 21081, 319, 5280, 479, 6789, 546, 1535, 313, 30105, 29907, 29897, 320, 29876, 29871, 29955, 29899, 6360, 3474, 1495, 13, 572, 29873, 29889, 3257, 703, 29924, 21081, 1029, 279, 482, 10430, 313, 30105, 29907, 29897, 19262, 297, 29905, 29876, 24804, 319, 1397, 276, 975, 278, 2440, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 8990, 4197, 29896, 29947, 29941, 29906, 29892, 29906, 29900, 29896, 29941, 29892, 29896, 29953, 29889, 29945, 29892, 29906, 29900, 2314, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 572, 29873, 29889, 7620, 1003, 877, 2290, 29877, 319, 1397, 276, 8401, 1029, 279, 482, 10430, 19262, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 29937, 2787, 2099, 10430, 19262, 13, 572, 29873, 29889, 5317, 29898, 14058, 29918, 7382, 1839, 6360, 7464, 14058, 29918, 7382, 1839, 485, 29887, 29918, 7382, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 6816, 273, 6789, 546, 1535, 313, 30105, 29907, 29897, 1495, 13, 572, 29873, 29889, 3257, 703, 6816, 273, 10430, 313, 30105, 29907, 29897, 19262, 297, 29905, 29876, 278, 3186, 975, 278, 2440, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 8990, 4197, 29896, 29955, 29945, 29900, 29892, 29906, 29900, 29896, 29941, 29892, 29945, 29889, 29945, 29892, 29896, 29900, 2314, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 572, 29873, 29889, 7620, 1003, 877, 14058, 2099, 10430, 19262, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 13, 29937, 2787, 8401, 1029, 279, 482, 10430, 19262, 13, 572, 29873, 29889, 5317, 29898, 14058, 29918, 7382, 1839, 6360, 7464, 14058, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29924, 21081, 319, 5280, 479, 6789, 546, 1535, 313, 30105, 29907, 29897, 320, 29876, 29871, 29955, 29899, 6360, 3474, 1495, 13, 572, 29873, 29889, 3257, 703, 29924, 21081, 1029, 279, 482, 10430, 313, 30105, 29907, 29897, 19262, 297, 29905, 29876, 278, 3186, 975, 278, 2440, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 8990, 4197, 29896, 29955, 29945, 29900, 29892, 29906, 29900, 29896, 29941, 29892, 29953, 29889, 29945, 29892, 29896, 29900, 2314, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 572, 29873, 29889, 7620, 1003, 877, 14058, 8401, 1029, 279, 482, 10430, 19262, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 13, 29937, 3323, 5317, 13, 572, 29873, 29889, 4532, 29898, 1003, 2311, 7607, 29953, 29892, 29871, 29946, 876, 13, 572, 29873, 29889, 1491, 5317, 29898, 29906, 29892, 29871, 29896, 29892, 29871, 29896, 29897, 13, 572, 29873, 29889, 5317, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 7464, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 485, 29887, 29918, 7382, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 3257, 703, 2290, 29877, 319, 1397, 276, 2099, 10430, 19262, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29909, 5280, 479, 320, 29876, 6789, 546, 1535, 313, 30105, 29907, 29897, 1495, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 13, 572, 29873, 29889, 1491, 5317, 29898, 29906, 29892, 29871, 29896, 29892, 29871, 29906, 29897, 13, 572, 29873, 29889, 5317, 29898, 14058, 29918, 7382, 1839, 6360, 7464, 14058, 29918, 7382, 1839, 485, 29887, 29918, 7382, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 3257, 703, 14058, 2099, 10430, 19262, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29909, 5280, 479, 320, 29876, 6789, 546, 1535, 313, 30105, 29907, 29897, 1495, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 13, 572, 29873, 29889, 29873, 523, 29918, 2680, 580, 13, 572, 29873, 29889, 7620, 1003, 877, 6816, 273, 29918, 15637, 29918, 13152, 29909, 29918, 29956, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 13, 13, 572, 29873, 29889, 4532, 29898, 1003, 2311, 7607, 29953, 29892, 29871, 29946, 876, 13, 572, 29873, 29889, 1491, 5317, 29898, 29906, 29892, 29871, 29896, 29892, 29871, 29896, 29897, 13, 572, 29873, 29889, 5317, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 7464, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 3257, 703, 2290, 29877, 319, 1397, 276, 8401, 6588, 10430, 19262, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29924, 21081, 319, 5280, 479, 320, 29876, 6789, 546, 1535, 313, 30105, 29907, 29897, 1495, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 13, 572, 29873, 29889, 1491, 5317, 29898, 29906, 29892, 29871, 29896, 29892, 29871, 29906, 29897, 13, 572, 29873, 29889, 5317, 29898, 14058, 29918, 7382, 1839, 6360, 7464, 14058, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 3257, 703, 14058, 8401, 6588, 10430, 19262, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29924, 21081, 319, 5280, 479, 320, 29876, 6789, 546, 1535, 313, 30105, 29907, 29897, 1495, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 13, 572, 29873, 29889, 29873, 523, 29918, 2680, 580, 13, 572, 29873, 29889, 7620, 1003, 877, 29924, 21081, 29918, 15637, 29918, 13152, 29909, 29918, 29956, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 13, 13, 29937, 3462, 3245, 2912, 800, 363, 5734, 17387, 13, 29937, 13, 485, 29887, 29918, 7382, 29918, 13152, 29909, 353, 24804, 29909, 1397, 276, 29918, 7382, 1839, 485, 29887, 29918, 7382, 13359, 12676, 580, 13, 485, 29887, 29918, 7382, 29918, 14058, 353, 2787, 29918, 7382, 1839, 485, 29887, 29918, 7382, 2033, 14352, 2435, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 2033, 6817, 29906, 13018, 29906, 1822, 12676, 580, 13, 12765, 29918, 485, 29887, 29918, 7382, 353, 1029, 29887, 29918, 7382, 29918, 13152, 29909, 448, 1029, 29887, 29918, 7382, 29918, 14058, 13, 13, 2290, 29877, 29909, 1397, 276, 29918, 7382, 29889, 29725, 2541, 29898, 14058, 29918, 7382, 14352, 2435, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 2033, 6817, 29906, 13018, 29906, 2314, 13, 13, 13, 13, 13, 13, 13, 13, 13, 572, 29873, 29889, 5317, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 7464, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 2290, 29877, 319, 1397, 276, 1495, 13, 572, 29873, 29889, 5317, 29898, 5894, 386, 29918, 7382, 1839, 6360, 7464, 5894, 386, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 5894, 386, 1495, 13, 572, 29873, 29889, 5317, 29898, 2177, 275, 29918, 7382, 1839, 6360, 7464, 2177, 275, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 2177, 275, 1495, 13, 572, 29873, 29889, 5317, 29898, 29940, 29979, 29918, 7382, 1839, 6360, 7464, 29940, 29979, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 4373, 3088, 1495, 13, 572, 29873, 29889, 5317, 29898, 14058, 29918, 7382, 1839, 6360, 7464, 14058, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 14058, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29924, 21081, 319, 5280, 479, 6789, 546, 1535, 313, 30105, 29907, 29897, 320, 29876, 29871, 29955, 29899, 6360, 3474, 1495, 13, 572, 29873, 29889, 3257, 703, 1523, 20941, 310, 1422, 14368, 322, 278, 3186, 29915, 29879, 320, 29876, 10430, 313, 30105, 29907, 29897, 975, 278, 2440, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 8990, 4197, 29896, 29947, 29941, 29947, 29892, 29906, 29900, 29896, 29941, 29892, 29955, 29892, 29896, 29929, 29889, 29945, 2314, 13, 572, 29873, 29889, 26172, 580, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 572, 29873, 29889, 7620, 1003, 877, 15329, 552, 315, 1907, 14104, 292, 319, 1707, 482, 28663, 17387, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 2 ]
Server/test/__init__.py	devArtoria/-Awesome-GraphQL-	27	106947	<filename>Server/test/__init__.py<gh_stars>10-100 import unittest from config import dev from Server import create_app import json app = create_app(dev.DevConfig) class BasicTestCase(unittest.TestCase): def __init__(self, args, kwargs): unittest.TestCase.__init__(self, args, **kwargs) app.testing = True self.tester = app.test_client(self) def request(self, type, call, body): query = type + " {" + call + "{" + body + "}" + "}" response = self.tester.post('/graphql', data=json.dumps({"query": query}), content_type='application/json' ) print(response.json) return dict(response.json)['data'] def _create_fake_data(self): # Create fake data pass def _get_tokens(self): response = self.request(type="mutation", call='auth(id:"{0}", password:"{1}")'.format("fake user's id", "fake user's pw"), body=''' result{ ... on AuthField{ refreshToken accessToken message } } ''') response = response['auth'] self.access_token = response['result']['accessToken'] self.refresh_token = response['result']['refreshToken'] def setUp(self): self._create_fake_data() self._get_tokens() def tearDown(self): # teardown code ex. drop tables pass	[ 1, 529, 9507, 29958, 6004, 29914, 1688, 29914, 1649, 2344, 26914, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29899, 29896, 29900, 29900, 13, 5215, 443, 27958, 13, 3166, 2295, 1053, 2906, 13, 3166, 5656, 1053, 1653, 29918, 932, 13, 5215, 4390, 13, 13, 932, 353, 1653, 29918, 932, 29898, 3359, 29889, 16618, 3991, 29897, 13, 13, 13, 1990, 19219, 3057, 8259, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 4706, 443, 27958, 29889, 3057, 8259, 17255, 2344, 12035, 1311, 29892, 334, 5085, 29892, 3579, 19290, 29897, 13, 13, 4706, 623, 29889, 13424, 353, 5852, 13, 4706, 1583, 29889, 1688, 261, 353, 623, 29889, 1688, 29918, 4645, 29898, 1311, 29897, 13, 13, 1678, 822, 2009, 29898, 1311, 29892, 1134, 29892, 1246, 29892, 3573, 1125, 13, 4706, 2346, 353, 1134, 718, 376, 8853, 718, 1246, 718, 376, 6377, 718, 3573, 718, 376, 5038, 718, 376, 5038, 13, 13, 4706, 2933, 353, 1583, 29889, 1688, 261, 29889, 2490, 11219, 4262, 1519, 742, 13, 462, 462, 1678, 848, 29922, 3126, 29889, 29881, 17204, 3319, 29908, 1972, 1115, 2346, 9594, 13, 462, 462, 1678, 2793, 29918, 1853, 2433, 6214, 29914, 3126, 29915, 13, 462, 462, 1678, 1723, 13, 13, 4706, 1596, 29898, 5327, 29889, 3126, 29897, 13, 4706, 736, 9657, 29898, 5327, 29889, 3126, 29897, 1839, 1272, 2033, 13, 13, 1678, 822, 903, 3258, 29918, 29888, 1296, 29918, 1272, 29898, 1311, 1125, 13, 4706, 396, 6204, 25713, 848, 13, 4706, 1209, 13, 13, 1678, 822, 903, 657, 29918, 517, 12360, 29898, 1311, 1125, 13, 4706, 2933, 353, 1583, 29889, 3827, 29898, 1853, 543, 6149, 362, 613, 13, 462, 18884, 1246, 2433, 5150, 29898, 333, 6160, 29912, 29900, 17671, 4800, 6160, 29912, 29896, 27195, 4286, 4830, 703, 29888, 1296, 1404, 29915, 29879, 1178, 613, 376, 29888, 1296, 1404, 29915, 29879, 282, 29893, 4968, 13, 462, 18884, 3573, 2433, 4907, 13, 462, 462, 268, 1121, 29912, 13, 462, 462, 268, 2023, 373, 13189, 3073, 29912, 13, 462, 462, 268, 11086, 6066, 13, 462, 462, 268, 2130, 6066, 13, 462, 462, 268, 2643, 13, 462, 462, 268, 500, 13, 462, 462, 268, 500, 13, 462, 462, 268, 6629, 1495, 13, 13, 4706, 2933, 353, 2933, 1839, 5150, 2033, 13, 4706, 1583, 29889, 5943, 29918, 6979, 353, 2933, 1839, 2914, 16215, 5943, 6066, 2033, 13, 4706, 1583, 29889, 22379, 29918, 6979, 353, 2933, 1839, 2914, 16215, 22379, 6066, 2033, 13, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 3032, 3258, 29918, 29888, 1296, 29918, 1272, 580, 13, 4706, 1583, 3032, 657, 29918, 517, 12360, 580, 13, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 1125, 13, 4706, 396, 734, 538, 776, 775, 429, 29889, 5768, 6131, 13, 4706, 1209, 13, 2 ]

nbgrader/tests/preprocessors/test_deduplicateids.py

FrattisUC/nbgrader

1,116

1601132

<filename>nbgrader/tests/preprocessors/test_deduplicateids.py import pytest from nbformat.v4 import new_notebook from ...preprocessors import DeduplicateIds from .base import BaseTestPreprocessor from .. import ( create_grade_cell, create_solution_cell, create_locked_cell) @pytest.fixture def preprocessor(): pp = DeduplicateIds() return pp class TestDeduplicateIds(BaseTestPreprocessor): def test_duplicate_grade_cell(self, preprocessor): cell1 = create_grade_cell("hello", "code", "foo", 2) cell2 = create_grade_cell("goodbye", "code", "foo", 2) nb = new_notebook() nb.cells.append(cell1) nb.cells.append(cell2) nb, resources = preprocessor.preprocess(nb, {}) assert nb.cells[0].metadata.nbgrader == {} assert nb.cells[1].metadata.nbgrader != {} def test_duplicate_solution_cell(self, preprocessor): cell1 = create_solution_cell("hello", "code", "foo") cell2 = create_solution_cell("goodbye", "code", "foo") nb = new_notebook() nb.cells.append(cell1) nb.cells.append(cell2) nb, resources = preprocessor.preprocess(nb, {}) assert nb.cells[0].metadata.nbgrader == {} assert nb.cells[1].metadata.nbgrader != {} def test_duplicate_locked_cell(self, preprocessor): cell1 = create_locked_cell("hello", "code", "foo") cell2 = create_locked_cell("goodbye", "code", "foo") nb = new_notebook() nb.cells.append(cell1) nb.cells.append(cell2) nb, resources = preprocessor.preprocess(nb, {}) assert nb.cells[0].metadata.nbgrader == {} assert nb.cells[1].metadata.nbgrader != {}

[ 1, 529, 9507, 29958, 9877, 629, 1664, 29914, 21150, 29914, 1457, 5014, 943, 29914, 1688, 29918, 7176, 786, 5926, 4841, 29889, 2272, 13, 5215, 11451, 1688, 13, 13, 3166, 302, 29890, 4830, 29889, 29894, 29946, 1053, 716, 29918, 1333, 19273, 13, 13, 3166, 2023, 1457, 5014, 943, 1053, 360, 287, 786, 5926, 21943, 13, 3166, 869, 3188, 1053, 7399, 3057, 6572, 26482, 13, 3166, 6317, 1053, 313, 13, 1678, 1653, 29918, 8228, 29918, 3729, 29892, 1653, 29918, 2929, 918, 29918, 3729, 29892, 1653, 29918, 29113, 29918, 3729, 29897, 13, 13, 13, 29992, 2272, 1688, 29889, 7241, 15546, 13, 1753, 758, 26482, 7295, 13, 1678, 6499, 353, 360, 287, 786, 5926, 21943, 580, 13, 1678, 736, 6499, 13, 13, 13, 1990, 4321, 29928, 287, 786, 5926, 21943, 29898, 5160, 3057, 6572, 26482, 1125, 13, 13, 1678, 822, 1243, 29918, 20908, 5926, 29918, 8228, 29918, 3729, 29898, 1311, 29892, 758, 26482, 1125, 13, 4706, 3038, 29896, 353, 1653, 29918, 8228, 29918, 3729, 703, 12199, 613, 376, 401, 613, 376, 5431, 613, 29871, 29906, 29897, 13, 4706, 3038, 29906, 353, 1653, 29918, 8228, 29918, 3729, 703, 16773, 26966, 613, 376, 401, 613, 376, 5431, 613, 29871, 29906, 29897, 13, 4706, 302, 29890, 353, 716, 29918, 1333, 19273, 580, 13, 4706, 302, 29890, 29889, 3729, 29879, 29889, 4397, 29898, 3729, 29896, 29897, 13, 4706, 302, 29890, 29889, 3729, 29879, 29889, 4397, 29898, 3729, 29906, 29897, 13, 13, 4706, 302, 29890, 29892, 7788, 353, 758, 26482, 29889, 1457, 5014, 29898, 9877, 29892, 426, 1800, 13, 13, 4706, 4974, 302, 29890, 29889, 3729, 29879, 29961, 29900, 1822, 19635, 29889, 9877, 629, 1664, 1275, 6571, 13, 4706, 4974, 302, 29890, 29889, 3729, 29879, 29961, 29896, 1822, 19635, 29889, 9877, 629, 1664, 2804, 6571, 13, 13, 1678, 822, 1243, 29918, 20908, 5926, 29918, 2929, 918, 29918, 3729, 29898, 1311, 29892, 758, 26482, 1125, 13, 4706, 3038, 29896, 353, 1653, 29918, 2929, 918, 29918, 3729, 703, 12199, 613, 376, 401, 613, 376, 5431, 1159, 13, 4706, 3038, 29906, 353, 1653, 29918, 2929, 918, 29918, 3729, 703, 16773, 26966, 613, 376, 401, 613, 376, 5431, 1159, 13, 4706, 302, 29890, 353, 716, 29918, 1333, 19273, 580, 13, 4706, 302, 29890, 29889, 3729, 29879, 29889, 4397, 29898, 3729, 29896, 29897, 13, 4706, 302, 29890, 29889, 3729, 29879, 29889, 4397, 29898, 3729, 29906, 29897, 13, 13, 4706, 302, 29890, 29892, 7788, 353, 758, 26482, 29889, 1457, 5014, 29898, 9877, 29892, 426, 1800, 13, 13, 4706, 4974, 302, 29890, 29889, 3729, 29879, 29961, 29900, 1822, 19635, 29889, 9877, 629, 1664, 1275, 6571, 13, 4706, 4974, 302, 29890, 29889, 3729, 29879, 29961, 29896, 1822, 19635, 29889, 9877, 629, 1664, 2804, 6571, 13, 13, 1678, 822, 1243, 29918, 20908, 5926, 29918, 29113, 29918, 3729, 29898, 1311, 29892, 758, 26482, 1125, 13, 4706, 3038, 29896, 353, 1653, 29918, 29113, 29918, 3729, 703, 12199, 613, 376, 401, 613, 376, 5431, 1159, 13, 4706, 3038, 29906, 353, 1653, 29918, 29113, 29918, 3729, 703, 16773, 26966, 613, 376, 401, 613, 376, 5431, 1159, 13, 4706, 302, 29890, 353, 716, 29918, 1333, 19273, 580, 13, 4706, 302, 29890, 29889, 3729, 29879, 29889, 4397, 29898, 3729, 29896, 29897, 13, 4706, 302, 29890, 29889, 3729, 29879, 29889, 4397, 29898, 3729, 29906, 29897, 13, 13, 4706, 302, 29890, 29892, 7788, 353, 758, 26482, 29889, 1457, 5014, 29898, 9877, 29892, 426, 1800, 13, 13, 4706, 4974, 302, 29890, 29889, 3729, 29879, 29961, 29900, 1822, 19635, 29889, 9877, 629, 1664, 1275, 6571, 13, 4706, 4974, 302, 29890, 29889, 3729, 29879, 29961, 29896, 1822, 19635, 29889, 9877, 629, 1664, 2804, 6571, 13, 2 ]

groups/models.py

SJTU-Plus/GroupPlus

47

1600274

from django.db import models # Create your models here. class Category(models.Model): name = models.CharField(max_length=255) parent = models.ForeignKey('self', on_delete=models.SET_NULL, null=True, blank=True) last_modified = models.DateTimeField(auto_now=True) def __str__(self): if self.parent: return f"{self.parent.name} / {self.name}" else: return f"ROOT / {self.name}" class Group(models.Model): name = models.CharField(max_length=255) number = models.CharField(max_length=255, null=True, unique=True) desc = models.CharField(max_length=1024, null=True, blank=True) category = models.ForeignKey(Category, on_delete=models.SET_NULL, null=True) last_modified = models.DateTimeField(auto_now=True) bot_enabled = models.BooleanField(default=False) vacancy = models.BooleanField(default=True) flag = models.IntegerField(default=0, null=False) def __str__(self): return f"{self.category.name} / ({self.name}, {self.number})" class Website(models.Model): name = models.CharField(max_length=255) url = models.CharField(max_length=255) desc = models.CharField(max_length=1024, null=True, blank=True) category = models.ForeignKey(Category, on_delete=models.SET_NULL, null=True) last_modified = models.DateTimeField(auto_now=True) def __str__(self): return f"{self.category.name} / ({self.name}, {self.url})"

[ 1, 515, 9557, 29889, 2585, 1053, 4733, 13, 13, 13, 29937, 6204, 596, 4733, 1244, 29889, 13, 1990, 17943, 29898, 9794, 29889, 3195, 1125, 13, 1678, 1024, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29945, 29945, 29897, 13, 1678, 3847, 353, 4733, 29889, 27755, 2558, 877, 1311, 742, 373, 29918, 8143, 29922, 9794, 29889, 10490, 29918, 10074, 29892, 1870, 29922, 5574, 29892, 9654, 29922, 5574, 29897, 13, 1678, 1833, 29918, 1545, 2164, 353, 4733, 29889, 11384, 3073, 29898, 6921, 29918, 3707, 29922, 5574, 29897, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 565, 1583, 29889, 3560, 29901, 13, 9651, 736, 285, 29908, 29912, 1311, 29889, 3560, 29889, 978, 29913, 847, 426, 1311, 29889, 978, 5038, 13, 4706, 1683, 29901, 13, 9651, 736, 285, 29908, 21289, 847, 426, 1311, 29889, 978, 5038, 13, 13, 13, 1990, 6431, 29898, 9794, 29889, 3195, 1125, 13, 1678, 1024, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29945, 29945, 29897, 13, 1678, 1353, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29945, 29945, 29892, 1870, 29922, 5574, 29892, 5412, 29922, 5574, 29897, 13, 1678, 5153, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29896, 29900, 29906, 29946, 29892, 1870, 29922, 5574, 29892, 9654, 29922, 5574, 29897, 13, 1678, 7663, 353, 4733, 29889, 27755, 2558, 29898, 10900, 29892, 373, 29918, 8143, 29922, 9794, 29889, 10490, 29918, 10074, 29892, 1870, 29922, 5574, 29897, 13, 1678, 1833, 29918, 1545, 2164, 353, 4733, 29889, 11384, 3073, 29898, 6921, 29918, 3707, 29922, 5574, 29897, 13, 1678, 9225, 29918, 17590, 353, 4733, 29889, 18146, 3073, 29898, 4381, 29922, 8824, 29897, 13, 1678, 11757, 6906, 353, 4733, 29889, 18146, 3073, 29898, 4381, 29922, 5574, 29897, 13, 1678, 7353, 353, 4733, 29889, 7798, 3073, 29898, 4381, 29922, 29900, 29892, 1870, 29922, 8824, 29897, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 285, 29908, 29912, 1311, 29889, 7320, 29889, 978, 29913, 847, 21313, 1311, 29889, 978, 1118, 426, 1311, 29889, 4537, 1800, 29908, 13, 13, 13, 1990, 13253, 29898, 9794, 29889, 3195, 1125, 13, 1678, 1024, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29945, 29945, 29897, 13, 1678, 3142, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29945, 29945, 29897, 13, 1678, 5153, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29896, 29900, 29906, 29946, 29892, 1870, 29922, 5574, 29892, 9654, 29922, 5574, 29897, 13, 1678, 7663, 353, 4733, 29889, 27755, 2558, 29898, 10900, 29892, 373, 29918, 8143, 29922, 9794, 29889, 10490, 29918, 10074, 29892, 1870, 29922, 5574, 29897, 13, 1678, 1833, 29918, 1545, 2164, 353, 4733, 29889, 11384, 3073, 29898, 6921, 29918, 3707, 29922, 5574, 29897, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 285, 29908, 29912, 1311, 29889, 7320, 29889, 978, 29913, 847, 21313, 1311, 29889, 978, 1118, 426, 1311, 29889, 2271, 1800, 29908, 13, 2 ]

poker/poker_base/prob.py

chitty/poker_base

0

106016

<reponame>chitty/poker_base<gh_stars>0 from poker import hand_rank from deal import deal hand_names = ["High Card", "Pair", "Two Pair", "3 of a Kind", "Straight", "Flush", "Full House", "4 of a Kind", "Straight Flush"] def hand_percentage(n=700*1000): """Sample n random hands and print a table of percentages for each type of hand. Args: n: int indicates total number of hands to be dealt. """ counts = [0]*9 for i in range(n/10): for hand in deal(10): ranking = hand_rank(hand)[0] counts[ranking] += 1 for i in reversed(range(9)): print "%14s: %6.3f %%" % (hand_names[i], 100.*counts[i]/n) hand_percentage(700000)

[ 1, 529, 276, 1112, 420, 29958, 305, 986, 29891, 29914, 29886, 17933, 29918, 3188, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 11293, 261, 1053, 1361, 29918, 10003, 13, 3166, 5376, 1053, 5376, 13, 13, 3179, 29918, 7039, 353, 6796, 16382, 9160, 613, 376, 20547, 613, 376, 13985, 349, 1466, 613, 376, 29941, 310, 263, 13187, 613, 376, 855, 336, 523, 613, 13, 795, 376, 8754, 1878, 613, 376, 13658, 5619, 613, 376, 29946, 310, 263, 13187, 613, 376, 855, 336, 523, 2379, 1878, 3108, 13, 13, 13, 1753, 1361, 29918, 25376, 482, 29898, 29876, 29922, 29955, 29900, 29900, 29930, 29896, 29900, 29900, 29900, 1125, 13, 1678, 9995, 17708, 302, 4036, 6567, 322, 1596, 263, 1591, 310, 10151, 1179, 363, 1269, 1134, 13, 539, 310, 1361, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 4706, 302, 29901, 938, 14088, 3001, 1353, 310, 6567, 304, 367, 316, 1997, 29889, 13, 1678, 9995, 13, 1678, 18139, 353, 518, 29900, 14178, 29929, 13, 1678, 363, 474, 297, 3464, 29898, 29876, 29914, 29896, 29900, 1125, 13, 4706, 363, 1361, 297, 5376, 29898, 29896, 29900, 1125, 13, 9651, 24034, 353, 1361, 29918, 10003, 29898, 3179, 9601, 29900, 29962, 13, 9651, 18139, 29961, 661, 9292, 29962, 4619, 29871, 29896, 13, 1678, 363, 474, 297, 18764, 287, 29898, 3881, 29898, 29929, 22164, 13, 4706, 1596, 11860, 29896, 29946, 29879, 29901, 1273, 29953, 29889, 29941, 29888, 17806, 29908, 1273, 313, 3179, 29918, 7039, 29961, 29875, 1402, 29871, 29896, 29900, 29900, 5575, 2798, 29879, 29961, 29875, 16261, 29876, 29897, 13, 13, 3179, 29918, 25376, 482, 29898, 29955, 29900, 29900, 29900, 29900, 29900, 29897, 13, 2 ]

advanced lane tracking pipeline.py

mrpalazz/CarND-Advanced-Lane-Lines

0

35664

# -*- coding: utf-8 -*- """ Created on Wed Nov 22 21:44:55 2017 @author: Mike """ import numpy as np import cv2 import glob import pickle import matplotlib.pyplot as plt from matplotlib.pyplot import * import os from scipy import stats from moviepy.editor import VideoFileClip from IPython.display import HTML from camera_calibration import calibrate_camera, distortion_correct from sobel_library import abs_sobel_image, sobel_mag_thresh, sobel_dir_thresh from collections import deque run_camera_cal = 1 #HLS Color space threshold filter def color_binary(img, colorspace, color_thresh): if colorspace == 'HLS': hls = cv2.cvtColor(img, cv2.COLOR_RGB2HLS) H = hls[:,:,0] L = hls[:,:,1] S = hls[:,:,2] binary_output = np.zeros_like(S) binary_output[((S > color_thresh [0]) & (S < color_thresh [1]))] = 1 return binary_output #combine the thresholds for the color map and the gradient threshold # send in an image with binary color scheme and binary gradient scheme def bin_color_gradient(binary_gradient , binary_color): binary_output = np.zeros_like(binary_gradient) binary_output[((binary_gradient == 1) | (binary_color == 1))] = 1 # polys = np.array([[(350,720),(580,500),(800,500),(1000,720)]], dtype = np.int32) polys = np.array([[(350,720),(580,500),(800,500),(900,720)]], dtype = np.int32) cv2.fillPoly(binary_output, polys, 0, lineType=8, shift=0) return binary_output #Function to warp images to birds eye view def warp(img,source_points, destination_points): img_shape = (img.shape[1], img.shape[0]) src = np.float32(source_points) dst = np.float32(destination_points) M = cv2.getPerspectiveTransform(src,dst) Minv = cv2.getPerspectiveTransform(dst,src) warped = cv2.warpPerspective(img,M,img_shape, flags = cv2.INTER_LINEAR) return warped, M, Minv global left_fit_deque global right_fit_deque deque_size = 3 left_fit_deque = [] left_fit_deque = deque(maxlen = deque_size) right_fit_deque = [] right_fit_deque = deque(maxlen = deque_size) class Lane(): def __init__(self): self.llm = [] self.rlm = [] mylane = Lane() coeffs = [] C0_L = np.zeros(deque_size) C1_L = np.zeros(deque_size) C2_L = np.zeros(deque_size) C0_R = np.zeros(deque_size) C1_R = np.zeros(deque_size) C2_R = np.zeros(deque_size) def polyfit(warped_image, orig_img, Minv): #def polyfit(warped_image): # print('Initiating line overlay onto binary warped image') # Assuming you have created a warped binary image called "binary_warped" # Take a histogram of the bottom half of the image histogram = np.sum(warped_image[warped_image.shape[0]//2:,:], axis=0) #histogram = np.sum(binary_warped[binary_warped.shape[0]/2:,:], axis=0) # Create an output image to draw on and visualize the result out_img = np.dstack((warped_image, warped_image, warped_image))*255 # Find the peak of the left and right halves of the histogram # These will be the starting point for the left and right lines midpoint = np.int(histogram.shape[0]/2) leftx_base = np.argmax(histogram[:midpoint]) rightx_base = np.argmax(histogram[midpoint:]) + midpoint # Choose the number of sliding windows nwindows = 9 # Set height of windows window_height = np.int(warped_image.shape[0]/nwindows) # Identify the x and y positions of all nonzero pixels in the image nonzero = warped_image.nonzero() nonzeroy = np.array(nonzero[0]) nonzerox = np.array(nonzero[1]) # Current positions to be updated for each window leftx_current = leftx_base rightx_current = rightx_base # Set the width of the windows +/- margin margin = 100 # Set minimum number of pixels found to recenter window minpix = 50 # Create empty lists to receive left and right lane pixel indices left_lane_inds = [] right_lane_inds = [] # Step through the windows one by one for window in range(nwindows): # Identify window boundaries in x and y (and right and left) win_y_low = warped_image.shape[0] - (window+1)*window_height win_y_high = warped_image.shape[0] - window*window_height win_xleft_low = leftx_current - margin win_xleft_high = leftx_current + margin win_xright_low = rightx_current - margin win_xright_high = rightx_current + margin # Draw the windows on the visualization image cv2.rectangle(out_img,(win_xleft_low,win_y_low),(win_xleft_high,win_y_high), (0,255,0), 2) cv2.rectangle(out_img,(win_xright_low,win_y_low),(win_xright_high,win_y_high), (0,255,0), 2) # Identify the nonzero pixels in x and y within the window good_left_inds = ((nonzeroy >= win_y_low) & (nonzeroy < win_y_high) & (nonzerox >= win_xleft_low) & (nonzerox < win_xleft_high)).nonzero()[0] good_right_inds = ((nonzeroy >= win_y_low) & (nonzeroy < win_y_high) & (nonzerox >= win_xright_low) & (nonzerox < win_xright_high)).nonzero()[0] # Append these indices to the lists left_lane_inds.append(good_left_inds) right_lane_inds.append(good_right_inds) # If you found > minpix pixels, recenter next window on their mean position if len(good_left_inds) > minpix: leftx_current = np.int(np.mean(nonzerox[good_left_inds])) if len(good_right_inds) > minpix: rightx_current = np.int(np.mean(nonzerox[good_right_inds])) # Concatenate the arrays of indices left_lane_inds = np.concatenate(left_lane_inds) right_lane_inds = np.concatenate(right_lane_inds) # Extract left and right line pixel positions leftx = nonzerox[left_lane_inds] lefty = nonzeroy[left_lane_inds] rightx = nonzerox[right_lane_inds] righty = nonzeroy[right_lane_inds] # Fit a second order polynomial to each left_fit = np.polyfit(lefty, leftx, 2) #Store the left poly coefficient in a deque for later use left_fit_deque.append(left_fit) # Take the deque of polynomial data and extract the three coefficients, avearge them for stability for idx, coeffs in enumerate(left_fit_deque): C0_L[idx] = coeffs[0] C1_L[idx] = coeffs[1] C2_L[idx] = coeffs[2] average_C0_L = np.mean(C0_L) average_C1_L = np.mean(C1_L) average_C2_L = np.mean(C2_L) left_fit[0] = average_C0_L left_fit[1] = average_C1_L left_fit[2] = average_C2_L right_fit = np.polyfit(righty, rightx, 2) #Store the left poly coefficient in a deque for later use right_fit_deque.append(right_fit) # Take the deque of polynomial data and extract the three coefficients, avearge them for stability for idx, coeffs in enumerate(right_fit_deque): C0_R[idx] = coeffs[0] C1_R[idx] = coeffs[1] C2_R[idx] = coeffs[2] average_C0_R = np.mean(C0_R) average_C1_R = np.mean(C1_R) average_C2_R = np.mean(C2_R) right_fit[0] = average_C0_R right_fit[1] = average_C1_R right_fit[2] = average_C2_R # Generate x and y values for plotting ploty = np.linspace(0, warped_image.shape[0]-1, warped_image.shape[0] ) left_fitx = left_fit[0]*ploty**2 + left_fit[1]*ploty + left_fit[2] # left_fitx = left_fit_deque[0]*ploty**2 + left_fit_deque[1]*ploty + left_fit[2] right_fitx = right_fit[0]*ploty**2 + right_fit[1]*ploty + right_fit[2] out_img[nonzeroy[left_lane_inds], nonzerox[left_lane_inds]] = [255, 0, 0] out_img[nonzeroy[right_lane_inds], nonzerox[right_lane_inds]] = [0, 0, 255] # plt.figure(figsize = (20,10)) # plt.imshow(out_img) # plt.plot(left_fitx, ploty, color='blue') # plt.plot(right_fitx, ploty, color='red') # plt.xlim(0, 1280) # plt.ylim(720, 0) # plt.show() # Create an image to draw the lines on warp_zero = np.zeros_like(warped_image).astype(np.uint8) color_warp = np.dstack((warp_zero, warp_zero, warp_zero)) # Recast the x and y points into usable format for cv2.fillPoly() pts_left = np.array([np.transpose(np.vstack([left_fitx, ploty]))]) pts_right = np.array([np.flipud(np.transpose(np.vstack([right_fitx, ploty])))]) pts = np.hstack((pts_left, pts_right)) # Draw the lane onto the warped blank image cv2.fillPoly(color_warp, np.int_([pts]), (0,255, 0)) # ============================================================================= # In this section we calculate the radius of curvature for the warped lines # ============================================================================= # Define y-value where we want radius of curvature # I'll choose the maximum y-value, corresponding to the bottom of the image y_eval = np.max(ploty) left_curverad = ((1 + (2*left_fit[0]*y_eval + left_fit[1])**2)**1.5) / np.absolute(2*left_fit[0]) right_curverad = ((1 + (2*right_fit[0]*y_eval + right_fit[1])**2)**1.5) / np.absolute(2*right_fit[0]) # print(left_curverad, right_curverad) # Example values: 1926.74 1908.48 # Define conversions in x and y from pixels space to meters ym_per_pix = 30/720 # meters per pixel in y dimension xm_per_pix = 3.7/700 # meters per pixel in x dimension # Fit new polynomials to x,y in world space left_fit_cr = np.polyfit(ploty*ym_per_pix, left_fitx*xm_per_pix, 2) right_fit_cr = np.polyfit(ploty*ym_per_pix, right_fitx*xm_per_pix, 2) # Calculate the new radii of curvature left_curverad = ((1 + (2*left_fit_cr[0]*y_eval*ym_per_pix + left_fit_cr[1])**2)**1.5) / np.absolute(2*left_fit_cr[0]) right_curverad = ((1 + (2*right_fit_cr[0]*y_eval*ym_per_pix + right_fit_cr[1])**2)**1.5) / np.absolute(2*right_fit_cr[0]) # Now our radius of curvature is in meters # print(left_curverad, 'm', right_curverad, 'm') # Example values: 632.1 m 626.2 m # ============================================================================= # Calculate the position from center for the vehicle relative to the left lane # ============================================================================= # Warp the blank back to original image space using inverse perspective matrix (Minv) newwarp = cv2.warpPerspective(color_warp, Minv, (orig_img.shape[1], orig_img.shape[0])) font = cv2.FONT_HERSHEY_SIMPLEX cv2.putText(newwarp,'Recording: project_video',(10,50), font, 1,(255,0,0),3,cv2.LINE_AA) cv2.putText(newwarp,'Road Radius of curvature: {} km'.format(left_curverad/1000),(10,100), font, 1,(255,0,0),3,cv2.LINE_AA) # ============================================================================= # Add the Section for fitting the radius of curvature to the image # ============================================================================= vehicle_center = newwarp.shape[1]/2 #assuming that the video feed is from veh center y_pixels = np.arange(newwarp.shape[0]-10, newwarp.shape[0]+1) # y_pixels = 719 lx_loc = left_fit_cr[0]*y_pixels**2+left_fit_cr[1]*y_pixels+left_fit_cr[2] rx_loc = right_fit_cr[0]*y_pixels**2+right_fit_cr[1]*y_pixels+right_fit_cr[2] lane_center_pixel = (right_fitx[0] + left_fitx[0])/2 vehicle_offset = (vehicle_center - lane_center_pixel)*xm_per_pix # pct_difference = vehicle_offset/ if vehicle_offset > 0: cv2.putText(newwarp,'Ego Vehicle is {} meters right of lane center'.format(vehicle_offset),(10,150), font, 1,(255,0,0),3,cv2.LINE_AA) if vehicle_offset < 0: cv2.putText(newwarp,'Ego Vehicle is {} meters left of lane center'.format(vehicle_offset),(10,150), font, 1,(255,0,0),3,cv2.LINE_AA) if vehicle_offset == 0: cv2.putText(newwarp,'Ego Vehicle is directly on center!! Great job!',(10,150), font, 1,(255,0,0),3,cv2.LINE_AA) # ============================================================================= # This plots the lane line data for debugging vehicle center # ============================================================================= # plt.plot(lx_loc,y_pixels,'x') # plt.title('Left Lane Line Pixel Locations') # plt.show() # # plt.plot(rx_loc,y_pixels,'x') # plt.title('Right Lane Line Pixel Locations') # plt.show() # # plt.plot(left_fitx,'x') # plt.plot(right_fitx,'o') # plt.title('Left Lane and Right Lane overlay, horizontal dir i "y" in image space') # plt.show() # # plt.figure(figsize = (15,15)) # plt.imshow(newwarp) # plt.show() # # Combine the result with the original image #img = cv2.imread(img) img = cv2.cvtColor(orig_img,cv2.COLOR_BGR2RGB) # result = cv2.addWeighted(orig_img, 1, newwarp, 0.3, 0) result = cv2.addWeighted(img, 1, newwarp, 0.3, 0) #This is the final overlaid image with the texxto n it # plt.figure(figsize = (10,10)) # plt.title('final result') # plt.imshow(result) # plt.show() return result, left_fitx, right_fitx, ploty if run_camera_cal == 1: #--------------------- CAll functions and initiate camera cal and distortion corrrect----------------------- #This section calls the camera calibration function # Call the function to parse through the calibration image array and return #the base object point, corners and a grascale image for reference size #***** TURN THIS ON LATER!!!!!! when you want to calibrate the camera # Make a list of calibration images image_dir = "C:\\Users\\mrpal\\Documents\\Projects\\CarND-Advanced-Lane-Lines\\camera_cal\\" images = os.listdir('camera_cal') corners, imgpoints, objpoints, gray = calibrate_camera(image_dir, images) ##Generate the distortion coefficients and camera matrix, trans vector and rot vector print('Generating distortion coefficients and camera matrix parameters') ret, mtx, dist, rvecs, tvecs = cv2.calibrateCamera(objpoints, imgpoints,gray.shape[::-1], None, None) #Undistort the images in the test_images folder image_dir = "C:\\Users\\mrpal\\Documents\\Projects\\CarND-Advanced-Lane-Lines\\test_images\\" images = os.listdir('test_images') print('Selected image directory is: {} '.format(image_dir)) print('The images in the directory are: {}' .format(images)) distortion_corrected = distortion_correct(image_dir, images, mtx, dist) cv2.destroyAllWindows() #--------------------- CAll functions to initiate a pipeline for image processing---------------------- image_dir = "C:\\Users\\mrpal\\Documents\\Projects\\CarND-Advanced-Lane-Lines\\test_images\\" images = os.listdir('test_images') print('Selected image directory is: {} '.format(image_dir)) print('The images in the directory are: {} \n' .format(images)) #print('The images in the directory are: {} \n' .format(images_new)) sobel_kernel = 9 #mag_thresh = [30,255] #keep it grad_threshold = [50,150] sobel_mag = [0,255] #distortion correct if len(glob.glob('./test_images/*Distortion*.jpg')) == 0: print('there are no distortion corrected images in the directory, let us create them') distortion_corrected = distortion_correct(image_dir, images, mtx, dist) images = glob.glob('./test_images/*Distortion*.jpg') def process_image(images): # for idx, fname in enumerate(images): img = cv2.cvtColor(images, cv2.COLOR_BGR2RGB) # img = cv2.cvtColor(images, cv2.COLOR_RGB2BGR) # orig_image = img # img = cv2.imread(fname) # plt.figure(figsize = (20,10)) # plt.imshow(img) # plt.show() #pull in the absolute binary gradient data in X and Y gradx_binary = abs_sobel_image(img,'x',grad_threshold , sobel_kernel) # plt.figure(figsize = (20,10)) # plt.title('Binary Gradient Thresholding in X direction') # plt.imshow(gradx_binary, cmap='gray') # plt.show() grady_binary = abs_sobel_image(img,'y',grad_threshold , sobel_kernel) # plt.figure(figsize = (20,10)) # plt.title('Binary Gradient Thresholding in Y direction') # plt.imshow(grady_binary, cmap='gray') # plt.show() #Calculate the Sobel direction gradient binary threshold dir_binary = sobel_dir_thresh(img, sobel_kernel=15, thresh=(0.6, np.pi/2)) # print(dir_binary.dtype) # plt.figure(figsize = (20,10)) # plt.title('Binary Sobel (Absolute) Gradient Thresholding') # plt.imshow(dir_binary, cmap = 'gray') # mag_binary = sobel_mag_thresh(img, sobel_kernel, mag_thresh= (50, 150)) mag_binary = sobel_mag_thresh(img, sobel_kernel, mag_thresh= (80, 150)) # plt.figure(figsize = (20,10)) # plt.title('Binary Gradient Magnitude Thresholding') # plt.imshow(mag_binary, cmap='gray') # mag_binary #Combine the gradient thresholds into a coherent image, there still may be gaps where color thresholding comes in combined_binary = np.zeros_like(dir_binary) # combined_binary[(gradx_binary == 1) | ((mag_binary == 1) | (dir_binary == 1))] = 1 combined_binary[(gradx_binary == 1) | ((mag_binary == 1) & (dir_binary == 1))] = 1 #combined_binary[((gradx_binary == 1) & (grady_binary == 1)) | ((mag_binary == 1) & (dir_binary == 1))] = 1 # plt.figure(figsize = (20,10)) # plt.title('Combined Binary Gradient Thresholding (X,Mag,Dir)') # plt.imshow(combined_binary, cmap = 'gray') # plt.show() binary_color = color_binary(img, 'HLS', color_thresh = [80,255]) # binary_color = color_binary(img, 'HLS', color_thresh = [80,180]) # plt.figure(figsize = (20,10)) # plt.title('Binary Color Thresholding in HLS') # plt.imshow(binary_color, cmap = 'gray') # plt.show() #Visualize the overall combined thresholding on the test images color_grad_combined = bin_color_gradient(combined_binary , binary_color) # plt.figure(figsize = (20,10)) # plt.title('Combined color and gradient mag thresholding') # plt.imshow(color_grad_combined, cmap = 'gray') # plt.show() img_size = img.shape offset = 100 src = np.float32([(200, 720), (580, 480), (720, 480), (1050, 720)]) dst = np.float32([(280, 720), (400, 190), (920, 190), (960, 720)]) destination_points = np.float32([[offset, img_size[1]-offset], [img_size[0]-offset, img_size[1]-offset], [img_size[0]-offset, offset], [offset, offset]]) source_points = np.float32(([450,780], [680, 1050], [680,250], [450, 500])) binary_warped, M, Minv = warp(color_grad_combined,src, dst) #warped_image_test = warp(img,source_points, destination_points) # plt.figure(figsize = (20,10)) # plt.imshow(binary_warped, cmap='gray') # plt.show() # # # import numpy as np # plt.figure(figsize = (20,10)) # histogram = np.sum(binary_warped[binary_warped.shape[0]//2:,:], axis=0) # plt.plot(histogram) # plt.show() # #Need the line data to be fed back out out, left_fitx, right_fitx, ploty = polyfit(binary_warped,img, Minv) # out = cv2.cvtColor(out, cv2.COLOR_BGR2RGB) return out #######-------------------------- ##os.system("ffmpeg -i project_video.mp4 -vf fps=15/1 out_%03d.jpg' Test_Video_dir = os.listdir("test_videos/") video_output = 'project_video_output.mp4' clip1 = VideoFileClip("test_videos/project_video.mp4").subclip(13,18) #clip1 = VideoFileClip("test_videos/project_video.mp4") clip = clip1.fl_image(process_image) #NOTE: this function expects color images!! clip.write_videofile(video_output, audio=False) #-------------------------------------------

[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 30004, 13, 15945, 19451, 13, 20399, 373, 15050, 2864, 29871, 29906, 29906, 29871, 29906, 29896, 29901, 29946, 29946, 29901, 29945, 29945, 29871, 29906, 29900, 29896, 29955, 30004, 13, 30004, 13, 29992, 8921, 29901, 12828, 30004, 13, 15945, 19451, 13, 30004, 13, 30004, 13, 5215, 12655, 408, 7442, 30004, 13, 5215, 13850, 29906, 30004, 13, 5215, 13149, 30004, 13, 5215, 5839, 280, 30004, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 30004, 13, 3166, 22889, 29889, 2272, 5317, 1053, 334, 30004, 13, 5215, 2897, 30004, 13, 3166, 4560, 2272, 1053, 22663, 30004, 13, 3166, 14064, 2272, 29889, 15204, 1053, 13987, 2283, 29907, 3466, 30004, 13, 3166, 5641, 1656, 29889, 4990, 1053, 4544, 30004, 13, 3166, 10656, 29918, 1052, 26218, 1053, 1208, 4626, 403, 29918, 26065, 29892, 1320, 441, 291, 29918, 15728, 30004, 13, 3166, 577, 6596, 29918, 5258, 1053, 6425, 29918, 578, 6596, 29918, 3027, 29892, 577, 6596, 29918, 11082, 29918, 386, 3781, 29892, 577, 6596, 29918, 3972, 29918, 386, 3781, 30004, 13, 3166, 16250, 1053, 316, 802, 30004, 13, 30004, 13, 3389, 29918, 26065, 29918, 1052, 353, 29871, 29896, 30004, 13, 30004, 13, 29937, 29950, 8547, 9159, 2913, 16897, 4175, 30004, 13, 1753, 2927, 29918, 19541, 29898, 2492, 29892, 11955, 3535, 29892, 2927, 29918, 386, 3781, 1125, 30004, 13, 30004, 13, 1678, 565, 11955, 3535, 1275, 525, 29950, 8547, 2396, 1678, 6756, 13, 4706, 298, 3137, 353, 13850, 29906, 29889, 11023, 29873, 3306, 29898, 2492, 29892, 13850, 29906, 29889, 15032, 1955, 29918, 28212, 29906, 29950, 8547, 8443, 13, 4706, 379, 353, 298, 3137, 7503, 29892, 29901, 29892, 29900, 29962, 30004, 13, 4706, 365, 353, 298, 3137, 7503, 29892, 29901, 29892, 29896, 29962, 30004, 13, 4706, 317, 353, 298, 3137, 7503, 29892, 29901, 29892, 29906, 29962, 30004, 13, 1678, 6756, 13, 1678, 7581, 29918, 4905, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 29903, 8443, 13, 1678, 7581, 29918, 4905, 29961, 3552, 29903, 1405, 2927, 29918, 386, 3781, 518, 29900, 2314, 669, 313, 29903, 529, 2927, 29918, 386, 3781, 518, 29896, 12622, 29962, 353, 29871, 29896, 30004, 13, 1678, 736, 7581, 29918, 4905, 30004, 13, 30004, 13, 30004, 13, 30004, 13, 29937, 17743, 457, 278, 266, 3781, 3361, 363, 278, 2927, 2910, 322, 278, 16030, 16897, 30004, 13, 29937, 3638, 297, 385, 1967, 411, 7581, 2927, 11380, 322, 7581, 16030, 11380, 30004, 13, 1753, 9016, 29918, 2780, 29918, 24970, 29898, 19541, 29918, 24970, 1919, 7581, 29918, 2780, 1125, 30004, 13, 1678, 6756, 13, 1678, 7581, 29918, 4905, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 19541, 29918, 24970, 8443, 13, 1678, 7581, 29918, 4905, 29961, 3552, 19541, 29918, 24970, 1275, 29871, 29896, 29897, 891, 313, 19541, 29918, 2780, 1275, 29871, 29896, 28166, 353, 29871, 29896, 30004, 13, 29937, 1678, 1248, 952, 353, 7442, 29889, 2378, 4197, 15625, 29941, 29945, 29900, 29892, 29955, 29906, 29900, 21336, 29945, 29947, 29900, 29892, 29945, 29900, 29900, 21336, 29947, 29900, 29900, 29892, 29945, 29900, 29900, 21336, 29896, 29900, 29900, 29900, 29892, 29955, 29906, 29900, 4638, 1402, 26688, 353, 7442, 29889, 524, 29941, 29906, 8443, 13, 1678, 1248, 952, 353, 7442, 29889, 2378, 4197, 15625, 29941, 29945, 29900, 29892, 29955, 29906, 29900, 21336, 29945, 29947, 29900, 29892, 29945, 29900, 29900, 21336, 29947, 29900, 29900, 29892, 29945, 29900, 29900, 21336, 29929, 29900, 29900, 29892, 29955, 29906, 29900, 4638, 1402, 26688, 353, 7442, 29889, 524, 29941, 29906, 8443, 13, 30004, 13, 1678, 13850, 29906, 29889, 5589, 7713, 29891, 29898, 19541, 29918, 4905, 29892, 1248, 952, 29892, 29871, 29900, 29892, 1196, 1542, 29922, 29947, 29892, 9500, 29922, 29900, 29897, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 736, 7581, 29918, 4905, 30004, 13, 30004, 13, 29937, 6678, 304, 1370, 29886, 4558, 304, 17952, 10977, 1776, 30004, 13, 1753, 1370, 29886, 29898, 2492, 29892, 4993, 29918, 9748, 29892, 12551, 29918, 9748, 1125, 30004, 13, 1678, 10153, 29918, 12181, 353, 313, 2492, 29889, 12181, 29961, 29896, 1402, 10153, 29889, 12181, 29961, 29900, 2314, 30004, 13, 1678, 4765, 353, 7442, 29889, 7411, 29941, 29906, 29898, 4993, 29918, 9748, 8443, 13, 1678, 29743, 353, 7442, 29889, 7411, 29941, 29906, 29898, 23848, 29918, 9748, 8443, 13, 1678, 341, 353, 13850, 29906, 29889, 657, 15136, 12645, 13372, 29898, 4351, 29892, 22992, 8443, 13, 1678, 3080, 29894, 353, 13850, 29906, 29889, 657, 15136, 12645, 13372, 29898, 22992, 29892, 4351, 8443, 13, 1678, 1370, 9795, 353, 13850, 29906, 29889, 4495, 29886, 15136, 12645, 29898, 2492, 29892, 29924, 29892, 2492, 29918, 12181, 29892, 13449, 353, 13850, 29906, 29889, 23845, 29918, 18521, 1718, 8443, 13, 1678, 736, 1370, 9795, 29892, 341, 29892, 3080, 29894, 30004, 13, 30004, 13, 30004, 13, 10945, 2175, 29918, 9202, 29918, 311, 802, 30004, 13, 10945, 1492, 29918, 9202, 29918, 311, 802, 30004, 13, 311, 802, 29918, 2311, 353, 29871, 29941, 30004, 13, 1563, 29918, 9202, 29918, 311, 802, 353, 5159, 30004, 13, 1563, 29918, 9202, 29918, 311, 802, 353, 316, 802, 29898, 3317, 2435, 353, 316, 802, 29918, 2311, 8443, 13, 1266, 29918, 9202, 29918, 311, 802, 353, 5159, 30004, 13, 1266, 29918, 9202, 29918, 311, 802, 353, 316, 802, 29898, 3317, 2435, 353, 316, 802, 29918, 2311, 8443, 13, 30004, 13, 1990, 23841, 7295, 30004, 13, 1678, 6756, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 30004, 13, 4706, 6756, 13, 4706, 1583, 29889, 645, 29885, 353, 5159, 30004, 13, 4706, 1583, 29889, 2096, 29885, 353, 5159, 30004, 13, 4706, 6756, 13, 1357, 25821, 353, 23841, 580, 259, 6756, 13, 1111, 12352, 29879, 353, 5159, 30004, 13, 29907, 29900, 29918, 29931, 353, 7442, 29889, 3298, 359, 29898, 311, 802, 29918, 2311, 8443, 13, 29907, 29896, 29918, 29931, 353, 7442, 29889, 3298, 359, 29898, 311, 802, 29918, 2311, 8443, 13, 29907, 29906, 29918, 29931, 353, 7442, 29889, 3298, 359, 29898, 311, 802, 29918, 2311, 8443, 13, 29907, 29900, 29918, 29934, 353, 7442, 29889, 3298, 359, 29898, 311, 802, 29918, 2311, 8443, 13, 29907, 29896, 29918, 29934, 353, 7442, 29889, 3298, 359, 29898, 311, 802, 29918, 2311, 8443, 13, 29907, 29906, 29918, 29934, 353, 7442, 29889, 3298, 359, 29898, 311, 802, 29918, 2311, 8443, 13, 30004, 13, 30004, 13, 1753, 15680, 9202, 29898, 4495, 9795, 29918, 3027, 29892, 1677, 29918, 2492, 29892, 3080, 29894, 1125, 30004, 13, 29937, 1753, 15680, 9202, 29898, 4495, 9795, 29918, 3027, 1125, 30004, 13, 29937, 1678, 1596, 877, 797, 4812, 1218, 1196, 27292, 11480, 7581, 1370, 9795, 1967, 1495, 30004, 13, 1678, 396, 17090, 366, 505, 2825, 263, 1370, 9795, 7581, 1967, 2000, 376, 19541, 29918, 4495, 9795, 19451, 13, 1678, 396, 11190, 263, 9825, 13342, 310, 278, 5970, 4203, 310, 278, 1967, 30004, 13, 1678, 9825, 13342, 353, 7442, 29889, 2083, 29898, 4495, 9795, 29918, 3027, 29961, 4495, 9795, 29918, 3027, 29889, 12181, 29961, 29900, 29962, 458, 29906, 29901, 29892, 29901, 1402, 9685, 29922, 29900, 8443, 13, 1678, 396, 29882, 391, 13342, 353, 7442, 29889, 2083, 29898, 19541, 29918, 4495, 9795, 29961, 19541, 29918, 4495, 9795, 29889, 12181, 29961, 29900, 16261, 29906, 29901, 29892, 29901, 1402, 9685, 29922, 29900, 8443, 13, 1678, 396, 6204, 385, 1962, 1967, 304, 4216, 373, 322, 29871, 7604, 675, 278, 1121, 30004, 13, 1678, 714, 29918, 2492, 353, 7442, 29889, 29881, 1429, 3552, 4495, 9795, 29918, 3027, 29892, 1370, 9795, 29918, 3027, 29892, 1370, 9795, 29918, 3027, 876, 29930, 29906, 29945, 29945, 30004, 13, 1678, 396, 10987, 278, 19224, 310, 278, 2175, 322, 1492, 8870, 1960, 310, 278, 9825, 13342, 30004, 13, 1678, 396, 4525, 674, 367, 278, 6257, 1298, 363, 278, 2175, 322, 1492, 3454, 30004, 13, 1678, 7145, 3149, 353, 7442, 29889, 524, 29898, 29882, 391, 13342, 29889, 12181, 29961, 29900, 16261, 29906, 8443, 13, 1678, 2175, 29916, 29918, 3188, 353, 7442, 29889, 1191, 3317, 29898, 29882, 391, 13342, 7503, 6563, 3149, 2314, 30004, 13, 1678, 1492, 29916, 29918, 3188, 353, 7442, 29889, 1191, 3317, 29898, 29882, 391, 13342, 29961, 6563, 3149, 29901, 2314, 718, 7145, 3149, 30004, 13, 1678, 6756, 13, 1678, 396, 14542, 852, 278, 1353, 310, 2243, 4821, 5417, 30004, 13, 1678, 302, 10499, 353, 29871, 29929, 30004, 13, 1678, 396, 3789, 3171, 310, 5417, 30004, 13, 1678, 3474, 29918, 3545, 353, 7442, 29889, 524, 29898, 4495, 9795, 29918, 3027, 29889, 12181, 29961, 29900, 16261, 29876, 10499, 8443, 13, 1678, 396, 13355, 1598, 278, 921, 322, 343, 11909, 310, 599, 1661, 9171, 17036, 297, 278, 1967, 30004, 13, 1678, 1661, 9171, 353, 1370, 9795, 29918, 3027, 29889, 5464, 9171, 26471, 13, 1678, 1661, 9171, 29891, 353, 7442, 29889, 2378, 29898, 5464, 9171, 29961, 29900, 2314, 30004, 13, 1678, 1661, 9171, 29916, 353, 7442, 29889, 2378, 29898, 5464, 9171, 29961, 29896, 2314, 30004, 13, 1678, 396, 9626, 11909, 304, 367, 4784, 363, 1269, 3474, 30004, 13, 1678, 2175, 29916, 29918, 3784, 353, 2175, 29916, 29918, 3188, 30004, 13, 1678, 1492, 29916, 29918, 3784, 353, 1492, 29916, 29918, 3188, 30004, 13, 1678, 396, 3789, 278, 2920, 310, 278, 5417, 718, 24028, 5906, 30004, 13, 1678, 5906, 353, 29871, 29896, 29900, 29900, 30004, 13, 1678, 396, 3789, 9212, 1353, 310, 17036, 1476, 304, 1162, 5893, 3474, 30004, 13, 1678, 1375, 29886, 861, 353, 29871, 29945, 29900, 30004, 13, 1678, 396, 6204, 4069, 8857, 304, 7150, 2175, 322, 1492, 301, 1662, 15526, 16285, 30004, 13, 1678, 2175, 29918, 25821, 29918, 12772, 353, 5159, 30004, 13, 1678, 1492, 29918, 25821, 29918, 12772, 353, 5159, 30004, 13, 30004, 13, 1678, 396, 16696, 1549, 278, 5417, 697, 491, 697, 30004, 13, 1678, 363, 3474, 297, 3464, 29898, 29876, 10499, 1125, 30004, 13, 4706, 396, 13355, 1598, 3474, 24371, 297, 921, 322, 343, 313, 392, 1492, 322, 2175, 8443, 13, 4706, 5401, 29918, 29891, 29918, 677, 353, 1370, 9795, 29918, 3027, 29889, 12181, 29961, 29900, 29962, 448, 313, 7165, 29974, 29896, 11877, 7165, 29918, 3545, 30004, 13, 4706, 5401, 29918, 29891, 29918, 9812, 353, 1370, 9795, 29918, 3027, 29889, 12181, 29961, 29900, 29962, 448, 3474, 29930, 7165, 29918, 3545, 30004, 13, 4706, 5401, 29918, 29916, 1563, 29918, 677, 353, 2175, 29916, 29918, 3784, 448, 5906, 30004, 13, 4706, 5401, 29918, 29916, 1563, 29918, 9812, 353, 2175, 29916, 29918, 3784, 718, 5906, 30004, 13, 4706, 5401, 29918, 29916, 1266, 29918, 677, 353, 1492, 29916, 29918, 3784, 448, 5906, 30004, 13, 4706, 5401, 29918, 29916, 1266, 29918, 9812, 353, 1492, 29916, 29918, 3784, 718, 5906, 30004, 13, 4706, 396, 18492, 278, 5417, 373, 278, 7604, 2133, 1967, 30004, 13, 4706, 13850, 29906, 29889, 1621, 2521, 29898, 449, 29918, 2492, 22657, 5080, 29918, 29916, 1563, 29918, 677, 29892, 5080, 29918, 29891, 29918, 677, 21336, 5080, 29918, 29916, 1563, 29918, 9812, 29892, 5080, 29918, 29891, 29918, 9812, 511, 30004, 13, 4706, 313, 29900, 29892, 29906, 29945, 29945, 29892, 29900, 511, 29871, 29906, 29897, 6756, 13, 4706, 13850, 29906, 29889, 1621, 2521, 29898, 449, 29918, 2492, 22657, 5080, 29918, 29916, 1266, 29918, 677, 29892, 5080, 29918, 29891, 29918, 677, 21336, 5080, 29918, 29916, 1266, 29918, 9812, 29892, 5080, 29918, 29891, 29918, 9812, 511, 30004, 13, 4706, 313, 29900, 29892, 29906, 29945, 29945, 29892, 29900, 511, 29871, 29906, 29897, 6756, 13, 4706, 396, 13355, 1598, 278, 1661, 9171, 17036, 297, 921, 322, 343, 2629, 278, 3474, 30004, 13, 4706, 1781, 29918, 1563, 29918, 12772, 353, 5135, 5464, 9171, 29891, 6736, 5401, 29918, 29891, 29918, 677, 29897, 669, 313, 5464, 9171, 29891, 529, 5401, 29918, 29891, 29918, 9812, 29897, 669, 6756, 13, 4706, 313, 5464, 9171, 29916, 6736, 5401, 29918, 29916, 1563, 29918, 677, 29897, 669, 29871, 313, 5464, 9171, 29916, 529, 5401, 29918, 29916, 1563, 29918, 9812, 8106, 5464, 9171, 580, 29961, 29900, 29962, 30004, 13, 4706, 1781, 29918, 1266, 29918, 12772, 353, 5135, 5464, 9171, 29891, 6736, 5401, 29918, 29891, 29918, 677, 29897, 669, 313, 5464, 9171, 29891, 529, 5401, 29918, 29891, 29918, 9812, 29897, 669, 6756, 13, 4706, 313, 5464, 9171, 29916, 6736, 5401, 29918, 29916, 1266, 29918, 677, 29897, 669, 29871, 313, 5464, 9171, 29916, 529, 5401, 29918, 29916, 1266, 29918, 9812, 8106, 5464, 9171, 580, 29961, 29900, 29962, 30004, 13, 4706, 396, 22871, 1438, 16285, 304, 278, 8857, 30004, 13, 4706, 2175, 29918, 25821, 29918, 12772, 29889, 4397, 29898, 16773, 29918, 1563, 29918, 12772, 8443, 13, 4706, 1492, 29918, 25821, 29918, 12772, 29889, 4397, 29898, 16773, 29918, 1266, 29918, 12772, 8443, 13, 4706, 396, 960, 366, 1476, 1405, 1375, 29886, 861, 17036, 29892, 1162, 5893, 2446, 3474, 373, 1009, 2099, 2602, 30004, 13, 4706, 565, 7431, 29898, 16773, 29918, 1563, 29918, 12772, 29897, 1405, 1375, 29886, 861, 29901, 30004, 13, 9651, 2175, 29916, 29918, 3784, 353, 7442, 29889, 524, 29898, 9302, 29889, 12676, 29898, 5464, 9171, 29916, 29961, 16773, 29918, 1563, 29918, 12772, 12622, 30004, 13, 4706, 565, 7431, 29898, 16773, 29918, 1266, 29918, 12772, 29897, 1405, 1375, 29886, 861, 29901, 4706, 6756, 13, 9651, 1492, 29916, 29918, 3784, 353, 7442, 29889, 524, 29898, 9302, 29889, 12676, 29898, 5464, 9171, 29916, 29961, 16773, 29918, 1266, 29918, 12772, 12622, 30004, 13, 1678, 6756, 13, 1678, 396, 23924, 2579, 403, 278, 7049, 310, 16285, 30004, 13, 1678, 2175, 29918, 25821, 29918, 12772, 353, 7442, 29889, 535, 29883, 2579, 403, 29898, 1563, 29918, 25821, 29918, 12772, 8443, 13, 1678, 1492, 29918, 25821, 29918, 12772, 353, 7442, 29889, 535, 29883, 2579, 403, 29898, 1266, 29918, 25821, 29918, 12772, 8443, 13, 30004, 13, 1678, 396, 7338, 1461, 2175, 322, 1492, 1196, 15526, 11909, 30004, 13, 1678, 2175, 29916, 353, 1661, 9171, 29916, 29961, 1563, 29918, 25821, 29918, 12772, 29962, 30004, 13, 1678, 2175, 29891, 353, 1661, 9171, 29891, 29961, 1563, 29918, 25821, 29918, 12772, 29962, 6756, 13, 1678, 1492, 29916, 353, 1661, 9171, 29916, 29961, 1266, 29918, 25821, 29918, 12772, 29962, 30004, 13, 1678, 1492, 29891, 353, 1661, 9171, 29891, 29961, 1266, 29918, 25821, 29918, 12772, 29962, 6756, 13, 30004, 13, 1678, 396, 383, 277, 263, 1473, 1797, 10159, 304, 1269, 30004, 13, 1678, 2175, 29918, 9202, 353, 7442, 29889, 22678, 9202, 29898, 1563, 29891, 29892, 2175, 29916, 29892, 29871, 29906, 8443, 13, 1678, 396, 9044, 278, 2175, 15680, 10825, 297, 263, 316, 802, 363, 2678, 671, 30004, 13, 1678, 2175, 29918, 9202, 29918, 311, 802, 29889, 4397, 29898, 1563, 29918, 9202, 8443, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 11190, 278, 316, 802, 310, 10159, 848, 322, 6597, 278, 2211, 16127, 29892, 8992, 279, 479, 963, 363, 25806, 30004, 13, 1678, 363, 22645, 29892, 1302, 12352, 29879, 297, 26985, 29898, 1563, 29918, 9202, 29918, 311, 802, 1125, 30004, 13, 4706, 315, 29900, 29918, 29931, 29961, 13140, 29962, 353, 1302, 12352, 29879, 29961, 29900, 29962, 30004, 13, 4706, 315, 29896, 29918, 29931, 29961, 13140, 29962, 353, 1302, 12352, 29879, 29961, 29896, 29962, 30004, 13, 4706, 315, 29906, 29918, 29931, 29961, 13140, 29962, 353, 1302, 12352, 29879, 29961, 29906, 29962, 30004, 13, 4706, 6756, 13, 4706, 6756, 13, 965, 6756, 13, 1678, 6588, 29918, 29907, 29900, 29918, 29931, 353, 7442, 29889, 12676, 29898, 29907, 29900, 29918, 29931, 8443, 13, 1678, 6588, 29918, 29907, 29896, 29918, 29931, 353, 7442, 29889, 12676, 29898, 29907, 29896, 29918, 29931, 8443, 13, 1678, 6588, 29918, 29907, 29906, 29918, 29931, 353, 7442, 29889, 12676, 29898, 29907, 29906, 29918, 29931, 8443, 13, 1678, 6756, 13, 1678, 2175, 29918, 9202, 29961, 29900, 29962, 353, 6588, 29918, 29907, 29900, 29918, 29931, 30004, 13, 1678, 2175, 29918, 9202, 29961, 29896, 29962, 353, 6588, 29918, 29907, 29896, 29918, 29931, 30004, 13, 1678, 2175, 29918, 9202, 29961, 29906, 29962, 353, 6588, 29918, 29907, 29906, 29918, 29931, 30004, 13, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 1492, 29918, 9202, 353, 7442, 29889, 22678, 9202, 29898, 1266, 29891, 29892, 1492, 29916, 29892, 29871, 29906, 8443, 13, 4706, 396, 9044, 278, 2175, 15680, 10825, 297, 263, 316, 802, 363, 2678, 671, 30004, 13, 1678, 1492, 29918, 9202, 29918, 311, 802, 29889, 4397, 29898, 1266, 29918, 9202, 8443, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 11190, 278, 316, 802, 310, 10159, 848, 322, 6597, 278, 2211, 16127, 29892, 8992, 279, 479, 963, 363, 25806, 30004, 13, 1678, 363, 22645, 29892, 1302, 12352, 29879, 297, 26985, 29898, 1266, 29918, 9202, 29918, 311, 802, 1125, 30004, 13, 4706, 315, 29900, 29918, 29934, 29961, 13140, 29962, 353, 1302, 12352, 29879, 29961, 29900, 29962, 30004, 13, 4706, 315, 29896, 29918, 29934, 29961, 13140, 29962, 353, 1302, 12352, 29879, 29961, 29896, 29962, 30004, 13, 4706, 315, 29906, 29918, 29934, 29961, 13140, 29962, 353, 1302, 12352, 29879, 29961, 29906, 29962, 30004, 13, 4706, 6756, 13, 4706, 6756, 13, 965, 6756, 13, 1678, 6588, 29918, 29907, 29900, 29918, 29934, 353, 7442, 29889, 12676, 29898, 29907, 29900, 29918, 29934, 8443, 13, 1678, 6588, 29918, 29907, 29896, 29918, 29934, 353, 7442, 29889, 12676, 29898, 29907, 29896, 29918, 29934, 8443, 13, 1678, 6588, 29918, 29907, 29906, 29918, 29934, 353, 7442, 29889, 12676, 29898, 29907, 29906, 29918, 29934, 8443, 13, 1678, 6756, 13, 1678, 1492, 29918, 9202, 29961, 29900, 29962, 353, 6588, 29918, 29907, 29900, 29918, 29934, 30004, 13, 1678, 1492, 29918, 9202, 29961, 29896, 29962, 353, 6588, 29918, 29907, 29896, 29918, 29934, 30004, 13, 1678, 1492, 29918, 9202, 29961, 29906, 29962, 353, 6588, 29918, 29907, 29906, 29918, 29934, 30004, 13, 30004, 13, 30004, 13, 30004, 13, 1678, 396, 3251, 403, 921, 322, 343, 1819, 363, 6492, 1259, 30004, 13, 1678, 6492, 29891, 353, 7442, 29889, 1915, 3493, 29898, 29900, 29892, 1370, 9795, 29918, 3027, 29889, 12181, 29961, 29900, 29962, 29899, 29896, 29892, 1370, 9795, 29918, 3027, 29889, 12181, 29961, 29900, 29962, 1723, 30004, 13, 1678, 2175, 29918, 9202, 29916, 353, 2175, 29918, 9202, 29961, 29900, 14178, 5317, 29891, 1068, 29906, 718, 2175, 29918, 9202, 29961, 29896, 14178, 5317, 29891, 718, 2175, 29918, 9202, 29961, 29906, 29962, 30004, 13, 29937, 1678, 2175, 29918, 9202, 29916, 353, 2175, 29918, 9202, 29918, 311, 802, 29961, 29900, 14178, 5317, 29891, 1068, 29906, 718, 2175, 29918, 9202, 29918, 311, 802, 29961, 29896, 14178, 5317, 29891, 718, 2175, 29918, 9202, 29961, 29906, 29962, 30004, 13, 1678, 1492, 29918, 9202, 29916, 353, 1492, 29918, 9202, 29961, 29900, 14178, 5317, 29891, 1068, 29906, 718, 1492, 29918, 9202, 29961, 29896, 14178, 5317, 29891, 718, 1492, 29918, 9202, 29961, 29906, 29962, 30004, 13, 30004, 13, 1678, 714, 29918, 2492, 29961, 5464, 9171, 29891, 29961, 1563, 29918, 25821, 29918, 12772, 1402, 1661, 9171, 29916, 29961, 1563, 29918, 25821, 29918, 12772, 5262, 353, 518, 29906, 29945, 29945, 29892, 29871, 29900, 29892, 29871, 29900, 29962, 30004, 13, 1678, 714, 29918, 2492, 29961, 5464, 9171, 29891, 29961, 1266, 29918, 25821, 29918, 12772, 1402, 1661, 9171, 29916, 29961, 1266, 29918, 25821, 29918, 12772, 5262, 353, 518, 29900, 29892, 29871, 29900, 29892, 29871, 29906, 29945, 29945, 29962, 30004, 13, 259, 6756, 13, 1678, 6756, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 449, 29918, 2492, 8443, 13, 29937, 1678, 14770, 29889, 5317, 29898, 1563, 29918, 9202, 29916, 29892, 6492, 29891, 29892, 2927, 2433, 9539, 1495, 30004, 13, 29937, 1678, 14770, 29889, 5317, 29898, 1266, 29918, 9202, 29916, 29892, 6492, 29891, 29892, 2927, 2433, 1127, 1495, 30004, 13, 29937, 1678, 14770, 29889, 29916, 2576, 29898, 29900, 29892, 29871, 29896, 29906, 29947, 29900, 8443, 13, 29937, 1678, 14770, 29889, 29891, 2576, 29898, 29955, 29906, 29900, 29892, 29871, 29900, 8443, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 1678, 6756, 13, 1678, 6756, 13, 4706, 396, 6204, 385, 1967, 304, 4216, 278, 3454, 373, 30004, 13, 1678, 1370, 29886, 29918, 9171, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 4495, 9795, 29918, 3027, 467, 579, 668, 29898, 9302, 29889, 13470, 29947, 8443, 13, 1678, 2927, 29918, 4495, 29886, 353, 7442, 29889, 29881, 1429, 3552, 4495, 29886, 29918, 9171, 29892, 1370, 29886, 29918, 9171, 29892, 1370, 29886, 29918, 9171, 876, 30004, 13, 1678, 6756, 13, 1678, 396, 3599, 579, 278, 921, 322, 343, 3291, 964, 502, 519, 3402, 363, 13850, 29906, 29889, 5589, 7713, 29891, 26471, 13, 1678, 282, 1372, 29918, 1563, 353, 7442, 29889, 2378, 4197, 9302, 29889, 3286, 4220, 29898, 9302, 29889, 29894, 1429, 4197, 1563, 29918, 9202, 29916, 29892, 6492, 29891, 12622, 2314, 30004, 13, 1678, 282, 1372, 29918, 1266, 353, 7442, 29889, 2378, 4197, 9302, 29889, 29888, 3466, 566, 29898, 9302, 29889, 3286, 4220, 29898, 9302, 29889, 29894, 1429, 4197, 1266, 29918, 9202, 29916, 29892, 6492, 29891, 29962, 4961, 2314, 30004, 13, 1678, 282, 1372, 353, 7442, 29889, 29882, 1429, 3552, 16485, 29918, 1563, 29892, 282, 1372, 29918, 1266, 876, 30004, 13, 1678, 6756, 13, 1678, 396, 18492, 278, 301, 1662, 11480, 278, 1370, 9795, 9654, 1967, 30004, 13, 1678, 13850, 29906, 29889, 5589, 7713, 29891, 29898, 2780, 29918, 4495, 29886, 29892, 7442, 29889, 524, 29918, 4197, 16485, 11724, 313, 29900, 29892, 29906, 29945, 29945, 29892, 29871, 29900, 876, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 29937, 268, 512, 445, 4004, 591, 8147, 278, 11855, 310, 27686, 1535, 363, 278, 1370, 9795, 3454, 30004, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 1678, 6756, 13, 4706, 396, 22402, 343, 29899, 1767, 988, 591, 864, 11855, 310, 27686, 1535, 30004, 13, 1678, 396, 306, 29915, 645, 6755, 278, 7472, 343, 29899, 1767, 29892, 6590, 304, 278, 5970, 310, 278, 1967, 30004, 13, 1678, 343, 29918, 14513, 353, 7442, 29889, 3317, 29898, 5317, 29891, 8443, 13, 1678, 2175, 29918, 2764, 369, 328, 353, 5135, 29896, 718, 313, 29906, 29930, 1563, 29918, 9202, 29961, 29900, 14178, 29891, 29918, 14513, 718, 2175, 29918, 9202, 29961, 29896, 2314, 1068, 29906, 29897, 1068, 29896, 29889, 29945, 29897, 847, 7442, 29889, 23552, 29898, 29906, 29930, 1563, 29918, 9202, 29961, 29900, 2314, 30004, 13, 1678, 1492, 29918, 2764, 369, 328, 353, 5135, 29896, 718, 313, 29906, 29930, 1266, 29918, 9202, 29961, 29900, 14178, 29891, 29918, 14513, 718, 1492, 29918, 9202, 29961, 29896, 2314, 1068, 29906, 29897, 1068, 29896, 29889, 29945, 29897, 847, 7442, 29889, 23552, 29898, 29906, 29930, 1266, 29918, 9202, 29961, 29900, 2314, 30004, 13, 29937, 1678, 1596, 29898, 1563, 29918, 2764, 369, 328, 29892, 1492, 29918, 2764, 369, 328, 8443, 13, 1678, 396, 8741, 1819, 29901, 29871, 29896, 29929, 29906, 29953, 29889, 29955, 29946, 29871, 29896, 29929, 29900, 29947, 29889, 29946, 29947, 30004, 13, 30004, 13, 4706, 396, 22402, 9678, 1080, 297, 921, 322, 343, 515, 17036, 2913, 304, 27881, 30004, 13, 1678, 343, 29885, 29918, 546, 29918, 29886, 861, 353, 29871, 29941, 29900, 29914, 29955, 29906, 29900, 396, 27881, 639, 15526, 297, 343, 9927, 30004, 13, 1678, 921, 29885, 29918, 546, 29918, 29886, 861, 353, 29871, 29941, 29889, 29955, 29914, 29955, 29900, 29900, 396, 27881, 639, 15526, 297, 921, 9927, 30004, 13, 1678, 6756, 13, 1678, 396, 383, 277, 716, 24655, 304, 921, 29892, 29891, 297, 3186, 2913, 30004, 13, 1678, 2175, 29918, 9202, 29918, 7283, 353, 7442, 29889, 22678, 9202, 29898, 5317, 29891, 29930, 962, 29918, 546, 29918, 29886, 861, 29892, 2175, 29918, 9202, 29916, 29930, 29916, 29885, 29918, 546, 29918, 29886, 861, 29892, 29871, 29906, 8443, 13, 1678, 1492, 29918, 9202, 29918, 7283, 353, 7442, 29889, 22678, 9202, 29898, 5317, 29891, 29930, 962, 29918, 546, 29918, 29886, 861, 29892, 1492, 29918, 9202, 29916, 29930, 29916, 29885, 29918, 546, 29918, 29886, 861, 29892, 29871, 29906, 8443, 13, 1678, 396, 20535, 403, 278, 716, 2971, 2236, 310, 27686, 1535, 30004, 13, 1678, 2175, 29918, 2764, 369, 328, 353, 5135, 29896, 718, 313, 29906, 29930, 1563, 29918, 9202, 29918, 7283, 29961, 29900, 14178, 29891, 29918, 14513, 29930, 962, 29918, 546, 29918, 29886, 861, 718, 2175, 29918, 9202, 29918, 7283, 29961, 29896, 2314, 1068, 29906, 29897, 1068, 29896, 29889, 29945, 29897, 847, 7442, 29889, 23552, 29898, 29906, 29930, 1563, 29918, 9202, 29918, 7283, 29961, 29900, 2314, 30004, 13, 1678, 1492, 29918, 2764, 369, 328, 353, 5135, 29896, 718, 313, 29906, 29930, 1266, 29918, 9202, 29918, 7283, 29961, 29900, 14178, 29891, 29918, 14513, 29930, 962, 29918, 546, 29918, 29886, 861, 718, 1492, 29918, 9202, 29918, 7283, 29961, 29896, 2314, 1068, 29906, 29897, 1068, 29896, 29889, 29945, 29897, 847, 7442, 29889, 23552, 29898, 29906, 29930, 1266, 29918, 9202, 29918, 7283, 29961, 29900, 2314, 30004, 13, 1678, 396, 2567, 1749, 11855, 310, 27686, 1535, 338, 297, 27881, 30004, 13, 29937, 1678, 1596, 29898, 1563, 29918, 2764, 369, 328, 29892, 525, 29885, 742, 1492, 29918, 2764, 369, 328, 29892, 525, 29885, 1495, 30004, 13, 1678, 396, 8741, 1819, 29901, 29871, 29953, 29941, 29906, 29889, 29896, 286, 268, 29953, 29906, 29953, 29889, 29906, 286, 30004, 13, 1678, 6756, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 29937, 259, 20535, 403, 278, 2602, 515, 4818, 363, 278, 19716, 6198, 304, 278, 2175, 301, 1662, 6756, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 3362, 29886, 278, 9654, 1250, 304, 2441, 1967, 2913, 773, 16402, 18520, 4636, 313, 8140, 29894, 8443, 13, 1678, 716, 4495, 29886, 353, 13850, 29906, 29889, 4495, 29886, 15136, 12645, 29898, 2780, 29918, 4495, 29886, 29892, 3080, 29894, 29892, 313, 12683, 29918, 2492, 29889, 12181, 29961, 29896, 1402, 1677, 29918, 2492, 29889, 12181, 29961, 29900, 12622, 6756, 13, 1678, 6756, 13, 1678, 4079, 353, 13850, 29906, 29889, 29943, 1164, 29911, 29918, 4448, 7068, 13282, 29918, 5425, 3580, 1307, 29990, 30004, 13, 1678, 13850, 29906, 29889, 649, 1626, 29898, 1482, 4495, 29886, 5501, 4789, 3278, 29901, 2060, 29918, 9641, 742, 29898, 29896, 29900, 29892, 29945, 29900, 511, 4079, 29892, 29871, 29896, 22657, 29906, 29945, 29945, 29892, 29900, 29892, 29900, 511, 29941, 29892, 11023, 29906, 29889, 18521, 29918, 6344, 8443, 13, 1678, 13850, 29906, 29889, 649, 1626, 29898, 1482, 4495, 29886, 5501, 9588, 328, 4957, 2482, 310, 27686, 1535, 29901, 6571, 2383, 4286, 4830, 29898, 1563, 29918, 2764, 369, 328, 29914, 29896, 29900, 29900, 29900, 21336, 29896, 29900, 29892, 29896, 29900, 29900, 511, 4079, 29892, 29871, 29896, 22657, 29906, 29945, 29945, 29892, 29900, 29892, 29900, 511, 29941, 29892, 11023, 29906, 29889, 18521, 29918, 6344, 8443, 13, 1678, 6756, 13, 30004, 13, 1678, 6756, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 29937, 268, 3462, 278, 9779, 363, 28221, 278, 11855, 310, 27686, 1535, 304, 278, 1967, 30004, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 19716, 29918, 5064, 353, 716, 4495, 29886, 29889, 12181, 29961, 29896, 16261, 29906, 396, 465, 9929, 393, 278, 4863, 8343, 338, 515, 10852, 4818, 30004, 13, 1678, 343, 29918, 29886, 861, 1379, 353, 7442, 29889, 279, 927, 29898, 1482, 4495, 29886, 29889, 12181, 29961, 29900, 29962, 29899, 29896, 29900, 29892, 716, 4495, 29886, 29889, 12181, 29961, 29900, 10062, 29896, 8443, 13, 29937, 1678, 343, 29918, 29886, 861, 1379, 353, 29871, 29955, 29896, 29929, 30004, 13, 1678, 301, 29916, 29918, 2029, 353, 2175, 29918, 9202, 29918, 7283, 29961, 29900, 14178, 29891, 29918, 29886, 861, 1379, 1068, 29906, 29974, 1563, 29918, 9202, 29918, 7283, 29961, 29896, 14178, 29891, 29918, 29886, 861, 1379, 29974, 1563, 29918, 9202, 29918, 7283, 29961, 29906, 29962, 30004, 13, 1678, 364, 29916, 29918, 2029, 353, 1492, 29918, 9202, 29918, 7283, 29961, 29900, 14178, 29891, 29918, 29886, 861, 1379, 1068, 29906, 29974, 1266, 29918, 9202, 29918, 7283, 29961, 29896, 14178, 29891, 29918, 29886, 861, 1379, 29974, 1266, 29918, 9202, 29918, 7283, 29961, 29906, 29962, 30004, 13, 1678, 6756, 13, 1678, 301, 1662, 29918, 5064, 29918, 29886, 15711, 353, 313, 1266, 29918, 9202, 29916, 29961, 29900, 29962, 718, 2175, 29918, 9202, 29916, 29961, 29900, 2314, 29914, 29906, 30004, 13, 1678, 19716, 29918, 10289, 353, 313, 345, 29882, 2512, 29918, 5064, 448, 301, 1662, 29918, 5064, 29918, 29886, 15711, 11877, 29916, 29885, 29918, 546, 29918, 29886, 861, 30004, 13, 29937, 1678, 282, 312, 29918, 29881, 17678, 353, 19716, 29918, 10289, 29914, 30004, 13, 30004, 13, 1678, 565, 19716, 29918, 10289, 1405, 29871, 29900, 29901, 30004, 13, 4706, 13850, 29906, 29889, 649, 1626, 29898, 1482, 4495, 29886, 5501, 29923, 1484, 8980, 29882, 2512, 338, 6571, 27881, 1492, 310, 301, 1662, 4818, 4286, 4830, 29898, 345, 29882, 2512, 29918, 10289, 21336, 29896, 29900, 29892, 29896, 29945, 29900, 511, 4079, 29892, 29871, 29896, 22657, 29906, 29945, 29945, 29892, 29900, 29892, 29900, 511, 29941, 29892, 11023, 29906, 29889, 18521, 29918, 6344, 8443, 13, 1678, 565, 19716, 29918, 10289, 529, 29871, 29900, 29901, 259, 6756, 13, 4706, 13850, 29906, 29889, 649, 1626, 29898, 1482, 4495, 29886, 5501, 29923, 1484, 8980, 29882, 2512, 338, 6571, 27881, 2175, 310, 301, 1662, 4818, 4286, 4830, 29898, 345, 29882, 2512, 29918, 10289, 21336, 29896, 29900, 29892, 29896, 29945, 29900, 511, 4079, 29892, 29871, 29896, 22657, 29906, 29945, 29945, 29892, 29900, 29892, 29900, 511, 29941, 29892, 11023, 29906, 29889, 18521, 29918, 6344, 8443, 13, 1678, 565, 19716, 29918, 10289, 1275, 29871, 29900, 29901, 30004, 13, 4706, 13850, 29906, 29889, 649, 1626, 29898, 1482, 4495, 29886, 5501, 29923, 1484, 8980, 29882, 2512, 338, 4153, 373, 4818, 6824, 7027, 4982, 29991, 742, 29898, 29896, 29900, 29892, 29896, 29945, 29900, 511, 4079, 29892, 29871, 29896, 22657, 29906, 29945, 29945, 29892, 29900, 29892, 29900, 511, 29941, 29892, 11023, 29906, 29889, 18521, 29918, 6344, 8443, 13, 4706, 6756, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 29937, 268, 910, 24580, 278, 301, 1662, 1196, 848, 363, 13490, 19716, 4818, 30004, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 25512, 30004, 13, 29937, 1678, 14770, 29889, 5317, 29898, 29880, 29916, 29918, 2029, 29892, 29891, 29918, 29886, 861, 1379, 5501, 29916, 1495, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 8091, 23841, 7407, 349, 15711, 5976, 800, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 29937, 29871, 6756, 13, 29937, 1678, 14770, 29889, 5317, 29898, 17697, 29918, 2029, 29892, 29891, 29918, 29886, 861, 1379, 5501, 29916, 1495, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 7341, 23841, 7407, 349, 15711, 5976, 800, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 580, 29871, 6756, 13, 29937, 1678, 6756, 13, 29937, 1678, 14770, 29889, 5317, 29898, 1563, 29918, 9202, 29916, 5501, 29916, 1495, 30004, 13, 29937, 1678, 14770, 29889, 5317, 29898, 1266, 29918, 9202, 29916, 5501, 29877, 1495, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 8091, 23841, 322, 10428, 23841, 27292, 29892, 14698, 4516, 474, 376, 29891, 29908, 297, 1967, 2913, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 29937, 1678, 6756, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29896, 29945, 29892, 29896, 29945, 876, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 1482, 4495, 29886, 8443, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 29937, 1678, 6756, 13, 1678, 396, 422, 26062, 278, 1121, 411, 278, 2441, 1967, 30004, 13, 1678, 396, 2492, 353, 13850, 29906, 29889, 326, 949, 29898, 2492, 8443, 13, 1678, 10153, 353, 13850, 29906, 29889, 11023, 29873, 3306, 29898, 12683, 29918, 2492, 29892, 11023, 29906, 29889, 15032, 1955, 29918, 29933, 14345, 29906, 28212, 8443, 13, 29937, 1678, 1121, 353, 13850, 29906, 29889, 1202, 22676, 287, 29898, 12683, 29918, 2492, 29892, 29871, 29896, 29892, 716, 4495, 29886, 29892, 29871, 29900, 29889, 29941, 29892, 29871, 29900, 29897, 29871, 6756, 13, 1678, 1121, 353, 13850, 29906, 29889, 1202, 22676, 287, 29898, 2492, 29892, 29871, 29896, 29892, 716, 4495, 29886, 29892, 29871, 29900, 29889, 29941, 29892, 29871, 29900, 29897, 29871, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 4013, 338, 278, 2186, 975, 433, 333, 1967, 411, 278, 19696, 486, 29877, 302, 372, 30004, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29896, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 8394, 1121, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 2914, 8443, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 1678, 6756, 13, 1678, 736, 1121, 29892, 2175, 29918, 9202, 29916, 29892, 1492, 29918, 9202, 29916, 29892, 6492, 29891, 30004, 13, 30004, 13, 1678, 6756, 13, 30004, 13, 361, 1065, 29918, 26065, 29918, 1052, 1275, 29871, 29896, 29901, 30004, 13, 1678, 6756, 13, 1678, 396, 2683, 23648, 315, 3596, 3168, 322, 14511, 403, 10656, 1208, 322, 1320, 441, 291, 27760, 1621, 2683, 26589, 30004, 13, 1678, 6756, 13, 1678, 396, 4013, 4004, 5717, 278, 10656, 1208, 26218, 740, 30004, 13, 1678, 6756, 13, 1678, 396, 8251, 278, 740, 304, 6088, 1549, 278, 1208, 26218, 1967, 1409, 322, 736, 30004, 13, 4706, 396, 1552, 2967, 1203, 1298, 29892, 26995, 322, 263, 867, 6151, 744, 1967, 363, 3407, 2159, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 2328, 29930, 323, 24015, 3446, 3235, 6732, 365, 1299, 1001, 6824, 6824, 6824, 746, 366, 864, 304, 1208, 4626, 403, 278, 10656, 30004, 13, 4706, 6756, 13, 1678, 396, 8561, 263, 1051, 310, 1208, 26218, 4558, 30004, 13, 1678, 1967, 29918, 3972, 353, 376, 29907, 22298, 5959, 1966, 29885, 29878, 7830, 1966, 20128, 1966, 25119, 1966, 8179, 2797, 29899, 3253, 16858, 29899, 29931, 1662, 29899, 20261, 1966, 26065, 29918, 1052, 1966, 19451, 13, 1678, 4558, 353, 2897, 29889, 1761, 3972, 877, 26065, 29918, 1052, 1495, 6756, 13, 539, 6756, 13, 1678, 26995, 29892, 10153, 9748, 29892, 5446, 9748, 29892, 16749, 353, 1208, 4626, 403, 29918, 26065, 29898, 3027, 29918, 3972, 29892, 4558, 8443, 13, 1678, 6756, 13, 1678, 444, 5631, 403, 278, 1320, 441, 291, 16127, 322, 10656, 4636, 29892, 1301, 4608, 322, 5731, 4608, 30004, 13, 1678, 1596, 877, 5631, 1218, 1320, 441, 291, 16127, 322, 10656, 4636, 4128, 1495, 30004, 13, 1678, 3240, 29892, 286, 7508, 29892, 1320, 29892, 364, 2003, 29879, 29892, 260, 2003, 29879, 353, 13850, 29906, 29889, 1052, 4626, 403, 20717, 29898, 5415, 9748, 29892, 10153, 9748, 29892, 21012, 29889, 12181, 29961, 1057, 29899, 29896, 1402, 6213, 29892, 6213, 8443, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 25263, 391, 441, 278, 4558, 297, 278, 1243, 29918, 8346, 4138, 30004, 13, 1678, 1967, 29918, 3972, 353, 376, 29907, 22298, 5959, 1966, 29885, 29878, 7830, 1966, 20128, 1966, 25119, 1966, 8179, 2797, 29899, 3253, 16858, 29899, 29931, 1662, 29899, 20261, 1966, 1688, 29918, 8346, 1966, 19451, 13, 1678, 4558, 353, 2897, 29889, 1761, 3972, 877, 1688, 29918, 8346, 1495, 30004, 13, 1678, 1596, 877, 8592, 1967, 3884, 338, 29901, 6571, 15300, 4830, 29898, 3027, 29918, 3972, 876, 30004, 13, 1678, 1596, 877, 1576, 4558, 297, 278, 3884, 526, 29901, 6571, 29915, 869, 4830, 29898, 8346, 876, 30004, 13, 1678, 1320, 441, 291, 29918, 15728, 287, 353, 1320, 441, 291, 29918, 15728, 29898, 3027, 29918, 3972, 29892, 4558, 29892, 286, 7508, 29892, 1320, 8443, 13, 1678, 13850, 29906, 29889, 20524, 3596, 7685, 26471, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 2683, 23648, 315, 3596, 3168, 304, 14511, 403, 263, 16439, 363, 1967, 9068, 2683, 22158, 30004, 13, 1678, 6756, 13, 1678, 1967, 29918, 3972, 353, 376, 29907, 22298, 5959, 1966, 29885, 29878, 7830, 1966, 20128, 1966, 25119, 1966, 8179, 2797, 29899, 3253, 16858, 29899, 29931, 1662, 29899, 20261, 1966, 1688, 29918, 8346, 1966, 19451, 13, 1678, 4558, 353, 2897, 29889, 1761, 3972, 877, 1688, 29918, 8346, 1495, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 1596, 877, 8592, 1967, 3884, 338, 29901, 6571, 15300, 4830, 29898, 3027, 29918, 3972, 876, 30004, 13, 1678, 1596, 877, 1576, 4558, 297, 278, 3884, 526, 29901, 6571, 320, 29876, 29915, 869, 4830, 29898, 8346, 876, 30004, 13, 1678, 396, 2158, 877, 1576, 4558, 297, 278, 3884, 526, 29901, 6571, 320, 29876, 29915, 869, 4830, 29898, 8346, 29918, 1482, 876, 30004, 13, 1678, 6756, 13, 1678, 577, 6596, 29918, 17460, 353, 29871, 29929, 30004, 13, 1678, 396, 11082, 29918, 386, 3781, 353, 518, 29941, 29900, 29892, 29906, 29945, 29945, 29962, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 17462, 372, 30004, 13, 1678, 4656, 29918, 386, 12268, 353, 518, 29945, 29900, 29892, 29896, 29945, 29900, 29962, 30004, 13, 1678, 577, 6596, 29918, 11082, 353, 518, 29900, 29892, 29906, 29945, 29945, 29962, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 5721, 441, 291, 1959, 30004, 13, 1678, 565, 7431, 29898, 23705, 29889, 23705, 877, 6904, 1688, 29918, 8346, 5515, 13398, 441, 291, 10521, 6173, 8785, 1275, 29871, 29900, 29901, 30004, 13, 4706, 1596, 877, 12711, 526, 694, 1320, 441, 291, 24114, 4558, 297, 278, 3884, 29892, 1235, 502, 1653, 963, 1495, 30004, 13, 4706, 1320, 441, 291, 29918, 15728, 287, 353, 1320, 441, 291, 29918, 15728, 29898, 3027, 29918, 3972, 29892, 4558, 29892, 286, 7508, 29892, 1320, 8443, 13, 1678, 6756, 13, 1678, 4558, 353, 13149, 29889, 23705, 877, 6904, 1688, 29918, 8346, 5515, 13398, 441, 291, 10521, 6173, 1495, 30004, 13, 30004, 13, 30004, 13, 30004, 13, 1753, 1889, 29918, 3027, 29898, 8346, 1125, 30004, 13, 29937, 1678, 363, 22645, 29892, 285, 978, 297, 26985, 29898, 8346, 1125, 30004, 13, 4706, 6756, 13, 1678, 10153, 353, 13850, 29906, 29889, 11023, 29873, 3306, 29898, 8346, 29892, 13850, 29906, 29889, 15032, 1955, 29918, 29933, 14345, 29906, 28212, 8443, 13, 29937, 1678, 10153, 353, 13850, 29906, 29889, 11023, 29873, 3306, 29898, 8346, 29892, 13850, 29906, 29889, 15032, 1955, 29918, 28212, 29906, 29933, 14345, 8443, 13, 29937, 1678, 1677, 29918, 3027, 353, 10153, 30004, 13, 29937, 4706, 10153, 353, 13850, 29906, 29889, 326, 949, 29898, 29888, 978, 8443, 13, 1678, 6756, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 2492, 8443, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 1678, 6756, 13, 1678, 396, 26746, 297, 278, 8380, 7581, 16030, 848, 297, 1060, 322, 612, 30004, 13, 1678, 4656, 29916, 29918, 19541, 353, 6425, 29918, 578, 6596, 29918, 3027, 29898, 2492, 5501, 29916, 742, 5105, 29918, 386, 12268, 1919, 577, 6596, 29918, 17460, 8443, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 25196, 19295, 993, 498, 12268, 292, 297, 1060, 5305, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 5105, 29916, 29918, 19541, 29892, 274, 1958, 2433, 21012, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 30004, 13, 1678, 867, 3714, 29918, 19541, 353, 6425, 29918, 578, 6596, 29918, 3027, 29898, 2492, 5501, 29891, 742, 5105, 29918, 386, 12268, 1919, 577, 6596, 29918, 17460, 8443, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 25196, 19295, 993, 498, 12268, 292, 297, 612, 5305, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 629, 3714, 29918, 19541, 29892, 274, 1958, 2433, 21012, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 27065, 403, 278, 25147, 295, 5305, 16030, 7581, 16897, 30004, 13, 1678, 4516, 29918, 19541, 353, 577, 6596, 29918, 3972, 29918, 386, 3781, 29898, 2492, 29892, 577, 6596, 29918, 17460, 29922, 29896, 29945, 29892, 266, 3781, 7607, 29900, 29889, 29953, 29892, 7442, 29889, 1631, 29914, 29906, 876, 30004, 13, 29937, 1678, 1596, 29898, 3972, 29918, 19541, 29889, 29881, 1853, 8443, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 25196, 25147, 295, 313, 4920, 14977, 29897, 19295, 993, 498, 12268, 292, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 3972, 29918, 19541, 29892, 274, 1958, 353, 525, 21012, 1495, 30004, 13, 1678, 6756, 13, 29937, 1678, 2320, 29918, 19541, 353, 577, 6596, 29918, 11082, 29918, 386, 3781, 29898, 2492, 29892, 577, 6596, 29918, 17460, 29892, 2320, 29918, 386, 3781, 29922, 313, 29945, 29900, 29892, 29871, 29896, 29945, 29900, 876, 30004, 13, 1678, 2320, 29918, 19541, 353, 577, 6596, 29918, 11082, 29918, 386, 3781, 29898, 2492, 29892, 577, 6596, 29918, 17460, 29892, 2320, 29918, 386, 3781, 29922, 313, 29947, 29900, 29892, 29871, 29896, 29945, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 25196, 19295, 993, 19975, 4279, 498, 12268, 292, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 11082, 29918, 19541, 29892, 274, 1958, 2433, 21012, 1495, 30004, 13, 29937, 1678, 2320, 29918, 19541, 30004, 13, 1678, 6756, 13, 1678, 396, 1523, 26062, 278, 16030, 266, 3781, 3361, 964, 263, 16165, 261, 296, 1967, 29892, 727, 1603, 1122, 367, 330, 2547, 988, 2927, 16897, 292, 5304, 297, 30004, 13, 1678, 12420, 29918, 19541, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 3972, 29918, 19541, 8443, 13, 29937, 1678, 12420, 29918, 19541, 15625, 5105, 29916, 29918, 19541, 1275, 29871, 29896, 29897, 891, 5135, 11082, 29918, 19541, 1275, 29871, 29896, 29897, 891, 313, 3972, 29918, 19541, 1275, 29871, 29896, 28166, 353, 29871, 29896, 30004, 13, 1678, 12420, 29918, 19541, 15625, 5105, 29916, 29918, 19541, 1275, 29871, 29896, 29897, 891, 5135, 11082, 29918, 19541, 1275, 29871, 29896, 29897, 669, 313, 3972, 29918, 19541, 1275, 29871, 29896, 28166, 353, 29871, 29896, 30004, 13, 1678, 396, 17743, 1312, 29918, 19541, 29961, 3552, 5105, 29916, 29918, 19541, 1275, 29871, 29896, 29897, 669, 313, 629, 3714, 29918, 19541, 1275, 29871, 29896, 876, 891, 5135, 11082, 29918, 19541, 1275, 29871, 29896, 29897, 669, 313, 3972, 29918, 19541, 1275, 29871, 29896, 28166, 353, 29871, 29896, 30004, 13, 30004, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 1523, 29890, 1312, 29479, 19295, 993, 498, 12268, 292, 313, 29990, 29892, 19095, 29892, 9170, 29897, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 17743, 1312, 29918, 19541, 29892, 274, 1958, 353, 525, 21012, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 30004, 13, 1678, 6756, 13, 1678, 7581, 29918, 2780, 353, 2927, 29918, 19541, 29898, 2492, 29892, 525, 29950, 8547, 742, 2927, 29918, 386, 3781, 353, 518, 29947, 29900, 29892, 29906, 29945, 29945, 2314, 30004, 13, 29937, 1678, 7581, 29918, 2780, 353, 2927, 29918, 19541, 29898, 2492, 29892, 525, 29950, 8547, 742, 2927, 29918, 386, 3781, 353, 518, 29947, 29900, 29892, 29896, 29947, 29900, 2314, 30004, 13, 1678, 6756, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 25196, 9159, 498, 12268, 292, 297, 379, 8547, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 19541, 29918, 2780, 29892, 274, 1958, 353, 525, 21012, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 30004, 13, 1678, 396, 16227, 675, 278, 12463, 12420, 16897, 292, 373, 278, 1243, 4558, 30004, 13, 1678, 2927, 29918, 5105, 29918, 17743, 1312, 353, 9016, 29918, 2780, 29918, 24970, 29898, 17743, 1312, 29918, 19541, 1919, 7581, 29918, 2780, 29897, 6756, 13, 1678, 6756, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 14770, 29889, 3257, 877, 1523, 29890, 1312, 2927, 322, 16030, 2320, 16897, 292, 1495, 30004, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 2780, 29918, 5105, 29918, 17743, 1312, 29892, 274, 1958, 353, 525, 21012, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 1678, 6756, 13, 1678, 10153, 29918, 2311, 353, 10153, 29889, 12181, 30004, 13, 1678, 9210, 353, 29871, 29896, 29900, 29900, 30004, 13, 1678, 6756, 13, 1678, 4765, 353, 7442, 29889, 7411, 29941, 29906, 4197, 29898, 29906, 29900, 29900, 29892, 29871, 29955, 29906, 29900, 511, 313, 29945, 29947, 29900, 29892, 29871, 29946, 29947, 29900, 511, 313, 29955, 29906, 29900, 29892, 29871, 29946, 29947, 29900, 511, 313, 29896, 29900, 29945, 29900, 29892, 29871, 29955, 29906, 29900, 29897, 2314, 30004, 13, 1678, 29743, 353, 7442, 29889, 7411, 29941, 29906, 4197, 29898, 29906, 29947, 29900, 29892, 29871, 29955, 29906, 29900, 511, 313, 29946, 29900, 29900, 29892, 29871, 29896, 29929, 29900, 511, 313, 29929, 29906, 29900, 29892, 29871, 29896, 29929, 29900, 511, 313, 29929, 29953, 29900, 29892, 29871, 29955, 29906, 29900, 29897, 2314, 30004, 13, 1678, 6756, 13, 1678, 6756, 13, 1678, 12551, 29918, 9748, 353, 7442, 29889, 7411, 29941, 29906, 4197, 29961, 10289, 29892, 10153, 29918, 2311, 29961, 29896, 29962, 29899, 10289, 1402, 518, 2492, 29918, 2311, 29961, 29900, 29962, 29899, 10289, 29892, 10153, 29918, 2311, 29961, 29896, 29962, 29899, 10289, 1402, 6756, 13, 462, 462, 268, 518, 2492, 29918, 2311, 29961, 29900, 29962, 29899, 10289, 29892, 9210, 1402, 6756, 13, 462, 462, 268, 518, 10289, 29892, 9210, 24960, 30004, 13, 1678, 6756, 13, 1678, 2752, 29918, 9748, 353, 7442, 29889, 7411, 29941, 29906, 3552, 29961, 29946, 29945, 29900, 29892, 29955, 29947, 29900, 1402, 518, 29953, 29947, 29900, 29892, 29871, 29896, 29900, 29945, 29900, 1402, 518, 29953, 29947, 29900, 29892, 29906, 29945, 29900, 1402, 518, 29946, 29945, 29900, 29892, 29871, 29945, 29900, 29900, 12622, 30004, 13, 30004, 13, 1678, 7581, 29918, 4495, 9795, 29892, 341, 29892, 3080, 29894, 353, 1370, 29886, 29898, 2780, 29918, 5105, 29918, 17743, 1312, 29892, 4351, 29892, 29743, 8443, 13, 1678, 396, 4495, 9795, 29918, 3027, 29918, 1688, 353, 1370, 29886, 29898, 2492, 29892, 4993, 29918, 9748, 29892, 12551, 29918, 9748, 8443, 13, 1678, 6756, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 6756, 13, 29937, 1678, 14770, 29889, 326, 4294, 29898, 19541, 29918, 4495, 9795, 29892, 274, 1958, 2433, 21012, 1495, 30004, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 29937, 1678, 6756, 13, 29937, 1678, 6756, 13, 29937, 1678, 1053, 12655, 408, 7442, 30004, 13, 29937, 1678, 14770, 29889, 4532, 29898, 1003, 2311, 353, 313, 29906, 29900, 29892, 29896, 29900, 876, 30004, 13, 29937, 1678, 9825, 13342, 353, 7442, 29889, 2083, 29898, 19541, 29918, 4495, 9795, 29961, 19541, 29918, 4495, 9795, 29889, 12181, 29961, 29900, 29962, 458, 29906, 29901, 29892, 29901, 1402, 9685, 29922, 29900, 8443, 13, 29937, 1678, 14770, 29889, 5317, 29898, 29882, 391, 13342, 8443, 13, 29937, 1678, 14770, 29889, 4294, 26471, 13, 29937, 1678, 6756, 13, 1678, 396, 8139, 287, 278, 1196, 848, 304, 367, 21242, 1250, 714, 30004, 13, 1678, 714, 29892, 2175, 29918, 9202, 29916, 29892, 1492, 29918, 9202, 29916, 29892, 6492, 29891, 353, 15680, 9202, 29898, 19541, 29918, 4495, 9795, 29892, 2492, 29892, 3080, 29894, 8443, 13, 29937, 1678, 714, 353, 13850, 29906, 29889, 11023, 29873, 3306, 29898, 449, 29892, 13850, 29906, 29889, 15032, 1955, 29918, 29933, 14345, 29906, 28212, 8443, 13, 1678, 736, 714, 30004, 13, 6756, 13, 1678, 6756, 13, 1678, 6756, 13, 4136, 2277, 29937, 2683, 28400, 30004, 13, 2277, 359, 29889, 5205, 703, 600, 20856, 448, 29875, 2060, 29918, 9641, 29889, 1526, 29946, 448, 29894, 29888, 285, 567, 29922, 29896, 29945, 29914, 29896, 714, 29918, 29995, 29900, 29941, 29881, 29889, 6173, 29915, 30004, 13, 3057, 29918, 15167, 29918, 3972, 353, 2897, 29889, 1761, 3972, 703, 1688, 29918, 29894, 7958, 29914, 1159, 30004, 13, 9641, 29918, 4905, 353, 525, 4836, 29918, 9641, 29918, 4905, 29889, 1526, 29946, 29915, 30004, 13, 24049, 29896, 353, 13987, 2283, 29907, 3466, 703, 1688, 29918, 29894, 7958, 29914, 4836, 29918, 9641, 29889, 1526, 29946, 2564, 1491, 24049, 29898, 29896, 29941, 29892, 29896, 29947, 8443, 13, 29937, 24049, 29896, 353, 13987, 2283, 29907, 3466, 703, 1688, 29918, 29894, 7958, 29914, 4836, 29918, 9641, 29889, 1526, 29946, 1159, 29871, 6756, 13, 24049, 353, 20102, 29896, 29889, 1579, 29918, 3027, 29898, 5014, 29918, 3027, 29897, 396, 12256, 29923, 29901, 445, 740, 23347, 2927, 4558, 6824, 30004, 13, 24049, 29889, 3539, 29918, 29894, 680, 974, 488, 29898, 9641, 29918, 4905, 29892, 10348, 29922, 8824, 8443, 13, 29871, 396, 2683, 2683, 1378, 5634, 29871, 6756, 13, 268, 2 ]

src/sentry/web/debug_urls.py

uandco/sentry

2

193152

<filename>src/sentry/web/debug_urls.py from __future__ import absolute_import from django.conf.urls import patterns, url from django.views.generic import TemplateView import sentry.web.frontend.debug.mail from sentry.web.frontend.debug.debug_assigned_email import ( DebugAssignedEmailView, DebugSelfAssignedEmailView, DebugSelfAssignedTeamEmailView ) from sentry.web.frontend.debug.debug_trigger_error import (DebugTriggerErrorView) from sentry.web.frontend.debug.debug_error_embed import (DebugErrorPageEmbedView) from sentry.web.frontend.debug.debug_incident_activity_email import DebugIncidentActivityEmailView from sentry.web.frontend.debug.debug_invalid_identity_email import DebugInvalidIdentityEmailView from sentry.web.frontend.debug.debug_mfa_added_email import (DebugMfaAddedEmailView) from sentry.web.frontend.debug.debug_mfa_removed_email import (DebugMfaRemovedEmailView) from sentry.web.frontend.debug.debug_new_release_email import (DebugNewReleaseEmailView) from sentry.web.frontend.debug.debug_new_user_feedback_email import (DebugNewUserFeedbackEmailView) from sentry.web.frontend.debug.debug_note_email import DebugNoteEmailView from sentry.web.frontend.debug.debug_password_changed_email import (DebugPasswordChangedEmailView) from sentry.web.frontend.debug.debug_recovery_codes_regenerated_email import ( DebugRecoveryCodesRegeneratedEmailView) from sentry.web.frontend.debug.debug_regression_email import ( DebugRegressionEmailView, DebugRegressionReleaseEmailView ) from sentry.web.frontend.debug.debug_resolved_email import (DebugResolvedEmailView) from sentry.web.frontend.debug.debug_resolved_in_release_email import ( DebugResolvedInReleaseEmailView, DebugResolvedInReleaseUpcomingEmailView ) from sentry.web.frontend.debug.debug_unable_to_delete_repository import DebugUnableToDeleteRepository from sentry.web.frontend.debug.debug_unable_to_fetch_commits_email import DebugUnableToFetchCommitsEmailView from sentry.web.frontend.debug.debug_unassigned_email import (DebugUnassignedEmailView) from sentry.web.frontend.debug.debug_new_processing_issues_email import ( DebugNewProcessingIssuesEmailView, DebugNewProcessingIssuesNoReprocessingEmailView, ) from sentry.web.frontend.debug.debug_sso_link_email import ( DebugSsoLinkedEmailView, DebugSsoUnlinkedEmailView, DebugSsoUnlinkedNoPasswordEmailView, ) from sentry.web.frontend.debug.debug_setup_2fa_email import DebugSetup2faEmailView from sentry.web.frontend.debug import debug_auth_views from sentry.web.frontend.debug.debug_oauth_authorize import ( DebugOAuthAuthorizeView, DebugOAuthAuthorizeErrorView, ) urlpatterns = patterns( '', url(r'^debug/mail/alert/$', sentry.web.frontend.debug.mail.alert), url(r'^debug/mail/note/$', DebugNoteEmailView.as_view()), url(r'^debug/mail/new-release/$', DebugNewReleaseEmailView.as_view()), url(r'^debug/mail/new-user-feedback/$', DebugNewUserFeedbackEmailView.as_view()), url(r'^debug/mail/assigned/$', DebugAssignedEmailView.as_view()), url(r'^debug/mail/assigned/self/$', DebugSelfAssignedEmailView.as_view()), url(r'^debug/mail/assigned/team/$', DebugSelfAssignedTeamEmailView.as_view()), url(r'^debug/mail/digest/$', sentry.web.frontend.debug.mail.digest), url(r'^debug/mail/report/$', sentry.web.frontend.debug.mail.report), url(r'^debug/mail/regression/$', DebugRegressionEmailView.as_view()), url(r'^debug/mail/regression/release/$', DebugRegressionReleaseEmailView.as_view()), url(r'^debug/mail/resolved/$', DebugResolvedEmailView.as_view()), url(r'^debug/mail/resolved-in-release/$', DebugResolvedInReleaseEmailView.as_view()), url( r'^debug/mail/resolved-in-release/upcoming/$', DebugResolvedInReleaseUpcomingEmailView.as_view() ), url(r'^debug/mail/request-access/$', sentry.web.frontend.debug.mail.request_access), url(r'^debug/mail/access-approved/$', sentry.web.frontend.debug.mail.access_approved), url(r'^debug/mail/invitation/$', sentry.web.frontend.debug.mail.invitation), url(r'^debug/mail/invalid-identity/$', DebugInvalidIdentityEmailView.as_view()), url(r'^debug/mail/confirm-email/$', sentry.web.frontend.debug.mail.confirm_email), url(r'^debug/mail/recover-account/$', sentry.web.frontend.debug.mail.recover_account), url(r'^debug/mail/unable-to-delete-repo/$', DebugUnableToDeleteRepository.as_view()), url(r'^debug/mail/unable-to-fetch-commits/$', DebugUnableToFetchCommitsEmailView.as_view()), url(r'^debug/mail/unassigned/$', DebugUnassignedEmailView.as_view()), url(r'^debug/mail/org-delete-confirm/$', sentry.web.frontend.debug.mail.org_delete_confirm), url(r'^debug/mail/mfa-removed/$', DebugMfaRemovedEmailView.as_view()), url(r'^debug/mail/mfa-added/$', DebugMfaAddedEmailView.as_view()), url(r'^debug/mail/recovery-codes-regenerated/$', DebugRecoveryCodesRegeneratedEmailView.as_view()), url(r'^debug/mail/password-changed/$', DebugPasswordChangedEmailView.as_view()), url(r'^debug/mail/new-processing-issues/$', DebugNewProcessingIssuesEmailView.as_view()), url( r'^debug/mail/new-processing-issues-no-reprocessing/$', DebugNewProcessingIssuesNoReprocessingEmailView.as_view() ), url(r'^debug/mail/sso-linked/$', DebugSsoLinkedEmailView.as_view()), url(r'^debug/mail/sso-unlinked/$', DebugSsoUnlinkedEmailView.as_view()), url(r'^debug/mail/sso-unlinked/no-password$', DebugSsoUnlinkedNoPasswordEmailView.as_view()), url(r'^debug/mail/incident-activity$', DebugIncidentActivityEmailView.as_view()), url(r'^debug/mail/setup-2fa/$', DebugSetup2faEmailView.as_view()), url(r'^debug/embed/error-page/$', DebugErrorPageEmbedView.as_view()), url(r'^debug/trigger-error/$', DebugTriggerErrorView.as_view()), url(r'^debug/auth-confirm-identity/$', debug_auth_views.DebugAuthConfirmIdentity.as_view()), url(r'^debug/auth-confirm-link/$', debug_auth_views.DebugAuthConfirmLink.as_view()), url(r'^debug/sudo/$', TemplateView.as_view(template_name='sentry/account/sudo.html')), url(r'^debug/oauth/authorize/$', DebugOAuthAuthorizeView.as_view()), url(r'^debug/oauth/authorize/error/$', DebugOAuthAuthorizeErrorView.as_view()), url(r'^debug/icons/$', TemplateView.as_view(template_name='sentry/debug/icons.html')), )

[ 1, 529, 9507, 29958, 4351, 29914, 29879, 8269, 29914, 2676, 29914, 8382, 29918, 26045, 29889, 2272, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 13, 3166, 9557, 29889, 5527, 29889, 26045, 1053, 15038, 29892, 3142, 13, 3166, 9557, 29889, 7406, 29889, 19206, 1053, 25663, 1043, 13, 13, 5215, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 13, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 465, 12961, 29918, 5269, 1053, 313, 13, 1678, 16171, 7900, 12961, 9823, 1043, 29892, 16171, 24313, 7900, 12961, 9823, 1043, 29892, 16171, 24313, 7900, 12961, 19409, 9823, 1043, 13, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 21001, 29918, 2704, 1053, 313, 11862, 20211, 2392, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 2704, 29918, 17987, 1053, 313, 11862, 2392, 5074, 6026, 2580, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 3742, 1693, 29918, 10072, 29918, 5269, 1053, 16171, 797, 29883, 1693, 3886, 9823, 1043, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 20965, 29918, 22350, 29918, 5269, 1053, 16171, 13919, 18415, 9823, 1043, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 29885, 5444, 29918, 23959, 29918, 5269, 1053, 313, 11862, 29924, 5444, 2528, 287, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 29885, 5444, 29918, 1745, 8238, 29918, 5269, 1053, 313, 11862, 29924, 5444, 7301, 8238, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 1482, 29918, 14096, 29918, 5269, 1053, 313, 11862, 4373, 19729, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 1482, 29918, 1792, 29918, 18798, 1627, 29918, 5269, 1053, 313, 11862, 4373, 2659, 29737, 1627, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 6812, 29918, 5269, 1053, 16171, 9842, 9823, 1043, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 5630, 29918, 15033, 29918, 5269, 1053, 313, 11862, 10048, 7590, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 3757, 22205, 29918, 18137, 29918, 1727, 759, 630, 29918, 5269, 1053, 313, 13, 1678, 16171, 4789, 22205, 29907, 2631, 4597, 759, 630, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 276, 11476, 29918, 5269, 1053, 313, 13, 1678, 16171, 4597, 23881, 9823, 1043, 29892, 16171, 4597, 23881, 19729, 9823, 1043, 13, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 9778, 1490, 29918, 5269, 1053, 313, 11862, 12375, 1490, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 9778, 1490, 29918, 262, 29918, 14096, 29918, 5269, 1053, 313, 13, 1678, 16171, 12375, 1490, 797, 19729, 9823, 1043, 29892, 16171, 12375, 1490, 797, 19729, 3373, 11506, 9823, 1043, 13, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 348, 519, 29918, 517, 29918, 8143, 29918, 19033, 1053, 16171, 2525, 519, 1762, 12498, 11481, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 348, 519, 29918, 517, 29918, 9155, 29918, 2055, 1169, 29918, 5269, 1053, 16171, 2525, 519, 1762, 20927, 5261, 1169, 9823, 1043, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 348, 465, 12961, 29918, 5269, 1053, 313, 11862, 2525, 465, 12961, 9823, 1043, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 1482, 29918, 19170, 29918, 12175, 29918, 5269, 1053, 313, 13, 1678, 16171, 4373, 7032, 292, 29902, 893, 1041, 9823, 1043, 29892, 13, 1678, 16171, 4373, 7032, 292, 29902, 893, 1041, 3782, 1123, 19170, 9823, 1043, 29892, 13, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 29879, 578, 29918, 2324, 29918, 5269, 1053, 313, 13, 1678, 16171, 29903, 578, 6595, 287, 9823, 1043, 29892, 13, 1678, 16171, 29903, 578, 2525, 2324, 287, 9823, 1043, 29892, 13, 1678, 16171, 29903, 578, 2525, 2324, 287, 3782, 10048, 9823, 1043, 29892, 13, 29897, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 14669, 29918, 29906, 5444, 29918, 5269, 1053, 16171, 26947, 29906, 5444, 9823, 1043, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 1053, 4744, 29918, 5150, 29918, 7406, 13, 3166, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 8382, 29918, 23106, 29918, 8921, 675, 1053, 313, 13, 1678, 16171, 29949, 6444, 13720, 675, 1043, 29892, 13, 1678, 16171, 29949, 6444, 13720, 675, 2392, 1043, 29892, 13, 29897, 13, 13, 2271, 11037, 29879, 353, 15038, 29898, 13, 1678, 15516, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 12888, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 12888, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 6812, 13346, 742, 16171, 9842, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 1482, 29899, 14096, 13346, 742, 16171, 4373, 19729, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 1482, 29899, 1792, 29899, 18798, 1627, 13346, 742, 16171, 4373, 2659, 29737, 1627, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 465, 12961, 13346, 742, 16171, 7900, 12961, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 465, 12961, 29914, 1311, 13346, 742, 16171, 24313, 7900, 12961, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 465, 12961, 29914, 14318, 13346, 742, 16171, 24313, 7900, 12961, 19409, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 7501, 342, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 7501, 342, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 12276, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 12276, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 276, 11476, 13346, 742, 16171, 4597, 23881, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 276, 11476, 29914, 14096, 13346, 742, 16171, 4597, 23881, 19729, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 9778, 1490, 13346, 742, 16171, 12375, 1490, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 9778, 1490, 29899, 262, 29899, 14096, 13346, 742, 16171, 12375, 1490, 797, 19729, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 13, 4706, 364, 29915, 29985, 8382, 29914, 2549, 29914, 9778, 1490, 29899, 262, 29899, 14096, 29914, 786, 11506, 13346, 742, 13, 4706, 16171, 12375, 1490, 797, 19729, 3373, 11506, 9823, 1043, 29889, 294, 29918, 1493, 580, 13, 1678, 10353, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 3827, 29899, 5943, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 3827, 29918, 5943, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 5943, 29899, 9961, 1490, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 5943, 29918, 9961, 1490, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 11569, 7018, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 11569, 7018, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 20965, 29899, 22350, 13346, 742, 16171, 13919, 18415, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 26897, 29899, 5269, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 26897, 29918, 5269, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 3757, 957, 29899, 10149, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 3757, 957, 29918, 10149, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 348, 519, 29899, 517, 29899, 8143, 29899, 20095, 13346, 742, 16171, 2525, 519, 1762, 12498, 11481, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 348, 519, 29899, 517, 29899, 9155, 29899, 2055, 1169, 13346, 742, 16171, 2525, 519, 1762, 20927, 5261, 1169, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 348, 465, 12961, 13346, 742, 16171, 2525, 465, 12961, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 990, 29899, 8143, 29899, 26897, 13346, 742, 2665, 719, 29889, 2676, 29889, 8862, 355, 29889, 8382, 29889, 2549, 29889, 990, 29918, 8143, 29918, 26897, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 29885, 5444, 29899, 1745, 8238, 13346, 742, 16171, 29924, 5444, 7301, 8238, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 29885, 5444, 29899, 23959, 13346, 742, 16171, 29924, 5444, 2528, 287, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 3757, 22205, 29899, 18137, 29899, 1727, 759, 630, 13346, 742, 13, 4706, 16171, 4789, 22205, 29907, 2631, 4597, 759, 630, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 5630, 29899, 15033, 13346, 742, 16171, 10048, 7590, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 1482, 29899, 19170, 29899, 12175, 13346, 742, 16171, 4373, 7032, 292, 29902, 893, 1041, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 13, 4706, 364, 29915, 29985, 8382, 29914, 2549, 29914, 1482, 29899, 19170, 29899, 12175, 29899, 1217, 29899, 276, 19170, 13346, 742, 13, 4706, 16171, 4373, 7032, 292, 29902, 893, 1041, 3782, 1123, 19170, 9823, 1043, 29889, 294, 29918, 1493, 580, 13, 1678, 10353, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 29879, 578, 29899, 2324, 287, 13346, 742, 16171, 29903, 578, 6595, 287, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 29879, 578, 29899, 348, 2324, 287, 13346, 742, 16171, 29903, 578, 2525, 2324, 287, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 29879, 578, 29899, 348, 2324, 287, 29914, 1217, 29899, 5630, 29938, 742, 16171, 29903, 578, 2525, 2324, 287, 3782, 10048, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 3742, 1693, 29899, 10072, 29938, 742, 16171, 797, 29883, 1693, 3886, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 2549, 29914, 14669, 29899, 29906, 5444, 13346, 742, 16171, 26947, 29906, 5444, 9823, 1043, 29889, 294, 29918, 1493, 25739, 13, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 17987, 29914, 2704, 29899, 3488, 13346, 742, 16171, 2392, 5074, 6026, 2580, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 21001, 29899, 2704, 13346, 742, 16171, 20211, 2392, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 5150, 29899, 26897, 29899, 22350, 13346, 742, 4744, 29918, 5150, 29918, 7406, 29889, 11862, 6444, 16376, 3568, 18415, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 5150, 29899, 26897, 29899, 2324, 13346, 742, 4744, 29918, 5150, 29918, 7406, 29889, 11862, 6444, 16376, 3568, 6595, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 15360, 13346, 742, 25663, 1043, 29889, 294, 29918, 1493, 29898, 6886, 29918, 978, 2433, 29879, 8269, 29914, 10149, 29914, 15360, 29889, 1420, 1495, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 23106, 29914, 8921, 675, 13346, 742, 16171, 29949, 6444, 13720, 675, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 23106, 29914, 8921, 675, 29914, 2704, 13346, 742, 16171, 29949, 6444, 13720, 675, 2392, 1043, 29889, 294, 29918, 1493, 25739, 13, 1678, 3142, 29898, 29878, 29915, 29985, 8382, 29914, 27078, 13346, 742, 25663, 1043, 29889, 294, 29918, 1493, 29898, 6886, 29918, 978, 2433, 29879, 8269, 29914, 8382, 29914, 27078, 29889, 1420, 1495, 511, 13, 29897, 13, 2 ]

geomapzw/toolbar.py

faraigit/geomapzw

0

92368

import os import ipywidgets as widgets from ipyleaflet import WidgetControl from ipyfilechooser import FileChooser from IPython.display import display def main_toolbar(m): padding = "0px 0px 0px 5px" # upper, right, bottom, left toolbar_button = widgets.ToggleButton( value=False, tooltip="Toolbar", icon="wrench", layout=widgets.Layout(width="28px", height="28px", padding=padding), ) close_button = widgets.ToggleButton( value=False, tooltip="Close the tool", icon="times", button_style="primary", layout=widgets.Layout(height="28px", width="28px", padding=padding), ) toolbar = widgets.HBox([toolbar_button]) def close_click(change): if change["new"]: toolbar_button.close() close_button.close() toolbar.close() close_button.observe(close_click, "value") rows = 2 cols = 2 grid = widgets.GridspecLayout( rows, cols, grid_gap="0px", layout=widgets.Layout(width="62px") ) icons = ["folder-open", "map", "gears", "map-marker"] for i in range(rows): for j in range(cols): grid[i, j] = widgets.Button( description="", button_style="primary", icon=icons[i * rows + j], layout=widgets.Layout(width="28px", padding="0px"), ) toolbar = widgets.VBox([toolbar_button]) def toolbar_click(change): if change["new"]: toolbar.children = [widgets.HBox([close_button, toolbar_button]), grid] else: toolbar.children = [toolbar_button] toolbar_button.observe(toolbar_click, "value") toolbar_ctrl = WidgetControl(widget=toolbar, position="topright") m.add_control(toolbar_ctrl) output = widgets.Output() output_ctrl = WidgetControl(widget=output, position="topright") buttons = widgets.ToggleButtons( value=None, options=["Apply", "Reset", "Close"], tooltips=["Apply", "Reset", "Close"], button_style="primary", ) buttons.style.button_width = "80px" data_dir = os.path.abspath("./data") fc = FileChooser(data_dir) fc.use_dir_icons = True fc.filter_pattern = ["*.shp", "*.geojson"] filechooser_widget = widgets.VBox([fc, buttons]) def button_click(change): if change["new"] == "Apply" and fc.selected is not None: if fc.selected.endswith(".shp"): m.add_shapefile(fc.selected, layer_name="Shapefile") elif fc.selected.endswith(".geojson"): m.add_geojson(fc.selected, layer_name="GeoJSON") elif change["new"] == "Reset": fc.reset() elif change["new"] == "Close": fc.reset() m.remove_control(output_ctrl) buttons.value = None buttons.observe(button_click, "value") def tool_click(b): with output: output.clear_output() if b.icon == "folder-open": display(filechooser_widget) m.add_control(output_ctrl) elif b.icon == "gears": import whiteboxgui.whiteboxgui as wbt if hasattr(m, "whitebox") and m.whitebox is not None: if m.whitebox in m.controls: m.remove_control(m.whitebox) tools_dict = wbt.get_wbt_dict() wbt_toolbox = wbt.build_toolbox( tools_dict, max_width="800px", max_height="500px" ) wbt_control = WidgetControl(widget=wbt_toolbox, position="bottomright") m.whitebox = wbt_control m.add_control(wbt_control) elif b.icon == "map-marker": fc = FileChooser(data_dir) fc.use_dir_icons = True fc.filter_pattern = ["*.csv"] x_widget = widgets.Dropdown( description="X:", layout=widgets.Layout(width="122px", padding="0px"), style={"description_width": "initial"}, ) y_widget = widgets.Dropdown( description="Y:", layout=widgets.Layout(width="122px", padding="0px"), style={"description_width": "initial"}, ) label_widget = widgets.Dropdown( description="Label:", layout=widgets.Layout(width="248px", padding="0px"), style={"description_width": "initial"}, ) layer_widget = widgets.Text( description="Layer name: ", value="Marker cluster", layout=widgets.Layout(width="248px", padding="0px"), style={"description_width": "initial"}, ) btns = widgets.ToggleButtons( value=None, options=["Read data", "Display", "Close"], tooltips=["Read data", "Display", "Close"], button_style="primary", ) btns.style.button_width = "80px" def btn_click(change): if change["new"] == "Read data" and fc.selected is not None: import pandas as pd df = pd.read_csv(fc.selected) col_names = df.columns.values.tolist() x_widget.options = col_names y_widget.options = col_names label_widget.options = col_names if "longitude" in col_names: x_widget.value = "longitude" if "latitude" in col_names: y_widget.value = "latitude" if "name" in col_names: label_widget.value = "name" elif change["new"] == "Display": if x_widget.value is not None and (y_widget.value is not None): m.add_points_from_csv( fc.selected, x=x_widget.value, y=y_widget.value, label=label_widget.value, layer_name=layer_widget.value, ) elif change["new"] == "Close": fc.reset() m.remove_control(output_ctrl) btns.observe(btn_click, "value") csv_widget = widgets.VBox( [ fc, widgets.HBox([x_widget, y_widget]), label_widget, layer_widget, btns, ] ) display(csv_widget) m.add_control(output_ctrl) for i in range(rows): for j in range(cols): tool = grid[i, j] tool.on_click(tool_click)

[ 1, 1053, 2897, 13, 5215, 474, 2272, 8030, 29879, 408, 11109, 29879, 13, 3166, 10377, 1508, 2142, 1026, 1053, 27080, 4809, 13, 3166, 474, 2272, 1445, 1859, 22969, 1053, 3497, 15954, 22969, 13, 3166, 5641, 1656, 29889, 4990, 1053, 2479, 13, 13, 13, 1753, 1667, 29918, 10154, 1646, 29898, 29885, 1125, 13, 13, 1678, 7164, 353, 376, 29900, 1756, 29871, 29900, 1756, 29871, 29900, 1756, 29871, 29945, 1756, 29908, 29871, 396, 7568, 29892, 1492, 29892, 5970, 29892, 2175, 13, 13, 1678, 29840, 29918, 3092, 353, 11109, 29879, 29889, 27199, 3125, 29898, 13, 4706, 995, 29922, 8824, 29892, 13, 4706, 5780, 12632, 543, 12229, 1646, 613, 13, 4706, 9849, 543, 29893, 4615, 613, 13, 4706, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29906, 29947, 1756, 613, 3171, 543, 29906, 29947, 1756, 613, 7164, 29922, 12791, 511, 13, 1678, 1723, 13, 13, 1678, 3802, 29918, 3092, 353, 11109, 29879, 29889, 27199, 3125, 29898, 13, 4706, 995, 29922, 8824, 29892, 13, 4706, 5780, 12632, 543, 11123, 278, 5780, 613, 13, 4706, 9849, 543, 3706, 613, 13, 4706, 2826, 29918, 3293, 543, 16072, 613, 13, 4706, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 3545, 543, 29906, 29947, 1756, 613, 2920, 543, 29906, 29947, 1756, 613, 7164, 29922, 12791, 511, 13, 1678, 1723, 13, 13, 1678, 29840, 353, 11109, 29879, 29889, 29950, 3313, 4197, 10154, 1646, 29918, 3092, 2314, 13, 13, 1678, 822, 3802, 29918, 3808, 29898, 3167, 1125, 13, 4706, 565, 1735, 3366, 1482, 3108, 29901, 13, 9651, 29840, 29918, 3092, 29889, 5358, 580, 13, 9651, 3802, 29918, 3092, 29889, 5358, 580, 13, 9651, 29840, 29889, 5358, 580, 13, 13, 1678, 3802, 29918, 3092, 29889, 711, 16349, 29898, 5358, 29918, 3808, 29892, 376, 1767, 1159, 13, 13, 1678, 4206, 353, 29871, 29906, 13, 1678, 28730, 353, 29871, 29906, 13, 1678, 6856, 353, 11109, 29879, 29889, 5756, 6550, 3453, 29898, 13, 4706, 4206, 29892, 28730, 29892, 6856, 29918, 29887, 481, 543, 29900, 1756, 613, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29953, 29906, 1756, 1159, 13, 1678, 1723, 13, 13, 1678, 27673, 353, 6796, 12083, 29899, 3150, 613, 376, 1958, 613, 376, 479, 1503, 613, 376, 1958, 29899, 22976, 3108, 13, 13, 1678, 363, 474, 297, 3464, 29898, 5727, 1125, 13, 4706, 363, 432, 297, 3464, 29898, 22724, 1125, 13, 9651, 6856, 29961, 29875, 29892, 432, 29962, 353, 11109, 29879, 29889, 3125, 29898, 13, 18884, 6139, 543, 613, 13, 18884, 2826, 29918, 3293, 543, 16072, 613, 13, 18884, 9849, 29922, 27078, 29961, 29875, 334, 4206, 718, 432, 1402, 13, 18884, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29906, 29947, 1756, 613, 7164, 543, 29900, 1756, 4968, 13, 9651, 1723, 13, 13, 1678, 29840, 353, 11109, 29879, 29889, 29963, 3313, 4197, 10154, 1646, 29918, 3092, 2314, 13, 13, 1678, 822, 29840, 29918, 3808, 29898, 3167, 1125, 13, 4706, 565, 1735, 3366, 1482, 3108, 29901, 13, 9651, 29840, 29889, 11991, 353, 518, 8030, 29879, 29889, 29950, 3313, 4197, 5358, 29918, 3092, 29892, 29840, 29918, 3092, 11724, 6856, 29962, 13, 4706, 1683, 29901, 13, 9651, 29840, 29889, 11991, 353, 518, 10154, 1646, 29918, 3092, 29962, 13, 13, 1678, 29840, 29918, 3092, 29889, 711, 16349, 29898, 10154, 1646, 29918, 3808, 29892, 376, 1767, 1159, 13, 13, 1678, 29840, 29918, 24220, 353, 27080, 4809, 29898, 8030, 29922, 10154, 1646, 29892, 2602, 543, 3332, 1266, 1159, 13, 13, 1678, 286, 29889, 1202, 29918, 6451, 29898, 10154, 1646, 29918, 24220, 29897, 13, 13, 1678, 1962, 353, 11109, 29879, 29889, 6466, 580, 13, 1678, 1962, 29918, 24220, 353, 27080, 4809, 29898, 8030, 29922, 4905, 29892, 2602, 543, 3332, 1266, 1159, 13, 13, 1678, 9828, 353, 11109, 29879, 29889, 27199, 29819, 787, 29898, 13, 4706, 995, 29922, 8516, 29892, 13, 4706, 3987, 29922, 3366, 2052, 368, 613, 376, 27175, 613, 376, 11123, 12436, 13, 4706, 5780, 2034, 567, 29922, 3366, 2052, 368, 613, 376, 27175, 613, 376, 11123, 12436, 13, 4706, 2826, 29918, 3293, 543, 16072, 613, 13, 1678, 1723, 13, 1678, 9828, 29889, 3293, 29889, 3092, 29918, 2103, 353, 376, 29947, 29900, 1756, 29908, 13, 13, 1678, 848, 29918, 3972, 353, 2897, 29889, 2084, 29889, 370, 1028, 493, 703, 6904, 1272, 1159, 13, 13, 1678, 285, 29883, 353, 3497, 15954, 22969, 29898, 1272, 29918, 3972, 29897, 13, 1678, 285, 29883, 29889, 1509, 29918, 3972, 29918, 27078, 353, 5852, 13, 1678, 285, 29883, 29889, 4572, 29918, 11037, 353, 6796, 10521, 845, 29886, 613, 376, 10521, 24756, 3126, 3108, 13, 13, 1678, 934, 1859, 22969, 29918, 8030, 353, 11109, 29879, 29889, 29963, 3313, 4197, 13801, 29892, 9828, 2314, 13, 13, 1678, 822, 2826, 29918, 3808, 29898, 3167, 1125, 13, 4706, 565, 1735, 3366, 1482, 3108, 1275, 376, 2052, 368, 29908, 322, 285, 29883, 29889, 8391, 338, 451, 6213, 29901, 13, 9651, 565, 285, 29883, 29889, 8391, 29889, 1975, 2541, 17350, 845, 29886, 29908, 1125, 13, 18884, 286, 29889, 1202, 29918, 12181, 1445, 29898, 13801, 29889, 8391, 29892, 7546, 29918, 978, 543, 24111, 1445, 1159, 13, 9651, 25342, 285, 29883, 29889, 8391, 29889, 1975, 2541, 17350, 24756, 3126, 29908, 1125, 13, 18884, 286, 29889, 1202, 29918, 24756, 3126, 29898, 13801, 29889, 8391, 29892, 7546, 29918, 978, 543, 7999, 29877, 7249, 1159, 13, 4706, 25342, 1735, 3366, 1482, 3108, 1275, 376, 27175, 1115, 13, 9651, 285, 29883, 29889, 12071, 580, 13, 4706, 25342, 1735, 3366, 1482, 3108, 1275, 376, 11123, 1115, 13, 9651, 285, 29883, 29889, 12071, 580, 13, 9651, 286, 29889, 5992, 29918, 6451, 29898, 4905, 29918, 24220, 29897, 13, 9651, 9828, 29889, 1767, 353, 6213, 13, 13, 1678, 9828, 29889, 711, 16349, 29898, 3092, 29918, 3808, 29892, 376, 1767, 1159, 13, 13, 1678, 822, 5780, 29918, 3808, 29898, 29890, 1125, 13, 4706, 411, 1962, 29901, 13, 9651, 1962, 29889, 8551, 29918, 4905, 580, 13, 9651, 565, 289, 29889, 4144, 1275, 376, 12083, 29899, 3150, 1115, 13, 18884, 2479, 29898, 1445, 1859, 22969, 29918, 8030, 29897, 13, 18884, 286, 29889, 1202, 29918, 6451, 29898, 4905, 29918, 24220, 29897, 13, 9651, 25342, 289, 29889, 4144, 1275, 376, 479, 1503, 1115, 13, 18884, 1053, 4796, 1884, 23569, 29889, 10921, 1884, 23569, 408, 281, 3116, 13, 13, 18884, 565, 756, 5552, 29898, 29885, 29892, 376, 10921, 1884, 1159, 322, 286, 29889, 10921, 1884, 338, 451, 6213, 29901, 13, 462, 1678, 565, 286, 29889, 10921, 1884, 297, 286, 29889, 26255, 29901, 13, 462, 4706, 286, 29889, 5992, 29918, 6451, 29898, 29885, 29889, 10921, 1884, 29897, 13, 13, 18884, 8492, 29918, 8977, 353, 281, 3116, 29889, 657, 29918, 29893, 3116, 29918, 8977, 580, 13, 18884, 281, 3116, 29918, 10154, 1884, 353, 281, 3116, 29889, 4282, 29918, 10154, 1884, 29898, 13, 462, 1678, 8492, 29918, 8977, 29892, 4236, 29918, 2103, 543, 29947, 29900, 29900, 1756, 613, 4236, 29918, 3545, 543, 29945, 29900, 29900, 1756, 29908, 13, 18884, 1723, 13, 13, 18884, 281, 3116, 29918, 6451, 353, 27080, 4809, 29898, 8030, 29922, 29893, 3116, 29918, 10154, 1884, 29892, 2602, 543, 8968, 1266, 1159, 13, 13, 18884, 286, 29889, 10921, 1884, 353, 281, 3116, 29918, 6451, 13, 18884, 286, 29889, 1202, 29918, 6451, 29898, 29893, 3116, 29918, 6451, 29897, 13, 13, 9651, 25342, 289, 29889, 4144, 1275, 376, 1958, 29899, 22976, 1115, 13, 18884, 285, 29883, 353, 3497, 15954, 22969, 29898, 1272, 29918, 3972, 29897, 13, 18884, 285, 29883, 29889, 1509, 29918, 3972, 29918, 27078, 353, 5852, 13, 18884, 285, 29883, 29889, 4572, 29918, 11037, 353, 6796, 10521, 7638, 3108, 13, 13, 18884, 921, 29918, 8030, 353, 11109, 29879, 29889, 15063, 3204, 29898, 13, 462, 1678, 6139, 543, 29990, 29901, 613, 13, 462, 1678, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29896, 29906, 29906, 1756, 613, 7164, 543, 29900, 1756, 4968, 13, 462, 1678, 3114, 3790, 29908, 8216, 29918, 2103, 1115, 376, 11228, 10758, 13, 18884, 1723, 13, 18884, 343, 29918, 8030, 353, 11109, 29879, 29889, 15063, 3204, 29898, 13, 462, 1678, 6139, 543, 29979, 29901, 613, 13, 462, 1678, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29896, 29906, 29906, 1756, 613, 7164, 543, 29900, 1756, 4968, 13, 462, 1678, 3114, 3790, 29908, 8216, 29918, 2103, 1115, 376, 11228, 10758, 13, 18884, 1723, 13, 13, 18884, 3858, 29918, 8030, 353, 11109, 29879, 29889, 15063, 3204, 29898, 13, 462, 1678, 6139, 543, 4775, 29901, 613, 13, 462, 1678, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29906, 29946, 29947, 1756, 613, 7164, 543, 29900, 1756, 4968, 13, 462, 1678, 3114, 3790, 29908, 8216, 29918, 2103, 1115, 376, 11228, 10758, 13, 18884, 1723, 13, 13, 18884, 7546, 29918, 8030, 353, 11109, 29879, 29889, 1626, 29898, 13, 462, 1678, 6139, 543, 14420, 1024, 29901, 9162, 13, 462, 1678, 995, 543, 24619, 9867, 613, 13, 462, 1678, 5912, 29922, 8030, 29879, 29889, 3453, 29898, 2103, 543, 29906, 29946, 29947, 1756, 613, 7164, 543, 29900, 1756, 4968, 13, 462, 1678, 3114, 3790, 29908, 8216, 29918, 2103, 1115, 376, 11228, 10758, 13, 18884, 1723, 13, 13, 18884, 289, 29873, 1983, 353, 11109, 29879, 29889, 27199, 29819, 787, 29898, 13, 462, 1678, 995, 29922, 8516, 29892, 13, 462, 1678, 3987, 29922, 3366, 6359, 848, 613, 376, 9323, 613, 376, 11123, 12436, 13, 462, 1678, 5780, 2034, 567, 29922, 3366, 6359, 848, 613, 376, 9323, 613, 376, 11123, 12436, 13, 462, 1678, 2826, 29918, 3293, 543, 16072, 613, 13, 18884, 1723, 13, 18884, 289, 29873, 1983, 29889, 3293, 29889, 3092, 29918, 2103, 353, 376, 29947, 29900, 1756, 29908, 13, 13, 18884, 822, 9503, 29918, 3808, 29898, 3167, 1125, 13, 462, 1678, 565, 1735, 3366, 1482, 3108, 1275, 376, 6359, 848, 29908, 322, 285, 29883, 29889, 8391, 338, 451, 6213, 29901, 13, 462, 4706, 1053, 11701, 408, 10518, 13, 13, 462, 4706, 4489, 353, 10518, 29889, 949, 29918, 7638, 29898, 13801, 29889, 8391, 29897, 13, 462, 4706, 784, 29918, 7039, 353, 4489, 29889, 13099, 29889, 5975, 29889, 25027, 391, 580, 13, 462, 4706, 921, 29918, 8030, 29889, 6768, 353, 784, 29918, 7039, 13, 462, 4706, 343, 29918, 8030, 29889, 6768, 353, 784, 29918, 7039, 13, 462, 4706, 3858, 29918, 8030, 29889, 6768, 353, 784, 29918, 7039, 13, 13, 462, 4706, 565, 376, 5426, 4279, 29908, 297, 784, 29918, 7039, 29901, 13, 462, 9651, 921, 29918, 8030, 29889, 1767, 353, 376, 5426, 4279, 29908, 13, 13, 462, 4706, 565, 376, 5066, 4279, 29908, 297, 784, 29918, 7039, 29901, 13, 462, 9651, 343, 29918, 8030, 29889, 1767, 353, 376, 5066, 4279, 29908, 13, 13, 462, 4706, 565, 376, 978, 29908, 297, 784, 29918, 7039, 29901, 13, 462, 9651, 3858, 29918, 8030, 29889, 1767, 353, 376, 978, 29908, 13, 13, 462, 1678, 25342, 1735, 3366, 1482, 3108, 1275, 376, 9323, 1115, 13, 13, 462, 4706, 565, 921, 29918, 8030, 29889, 1767, 338, 451, 6213, 322, 313, 29891, 29918, 8030, 29889, 1767, 338, 451, 6213, 1125, 13, 462, 9651, 286, 29889, 1202, 29918, 9748, 29918, 3166, 29918, 7638, 29898, 13, 462, 18884, 285, 29883, 29889, 8391, 29892, 13, 462, 18884, 921, 29922, 29916, 29918, 8030, 29889, 1767, 29892, 13, 462, 18884, 343, 29922, 29891, 29918, 8030, 29889, 1767, 29892, 13, 462, 18884, 3858, 29922, 1643, 29918, 8030, 29889, 1767, 29892, 13, 462, 18884, 7546, 29918, 978, 29922, 13148, 29918, 8030, 29889, 1767, 29892, 13, 462, 9651, 1723, 13, 13, 462, 1678, 25342, 1735, 3366, 1482, 3108, 1275, 376, 11123, 1115, 13, 462, 4706, 285, 29883, 29889, 12071, 580, 13, 462, 4706, 286, 29889, 5992, 29918, 6451, 29898, 4905, 29918, 24220, 29897, 13, 13, 18884, 289, 29873, 1983, 29889, 711, 16349, 29898, 7290, 29918, 3808, 29892, 376, 1767, 1159, 13, 13, 18884, 11799, 29918, 8030, 353, 11109, 29879, 29889, 29963, 3313, 29898, 13, 462, 1678, 518, 13, 462, 4706, 285, 29883, 29892, 13, 462, 4706, 11109, 29879, 29889, 29950, 3313, 4197, 29916, 29918, 8030, 29892, 343, 29918, 8030, 11724, 13, 462, 4706, 3858, 29918, 8030, 29892, 13, 462, 4706, 7546, 29918, 8030, 29892, 13, 462, 4706, 289, 29873, 1983, 29892, 13, 462, 1678, 4514, 13, 18884, 1723, 13, 13, 18884, 2479, 29898, 7638, 29918, 8030, 29897, 13, 18884, 286, 29889, 1202, 29918, 6451, 29898, 4905, 29918, 24220, 29897, 13, 13, 1678, 363, 474, 297, 3464, 29898, 5727, 1125, 13, 4706, 363, 432, 297, 3464, 29898, 22724, 1125, 13, 9651, 5780, 353, 6856, 29961, 29875, 29892, 432, 29962, 13, 9651, 5780, 29889, 265, 29918, 3808, 29898, 10154, 29918, 3808, 29897, 13, 2 ]

schemas/__init__.py

shaban00/flask_rest_api_structure

0

103282

__author__ = '<NAME> [shaban00]' DRAFT_4_SCHEMA = "http://json-schema.org/draft-04/schema#" NULL_SCHEMA = { "type": "null" } STRING_SCHEMA = { "type": "string" } STRING_ARRAY_SCHEMA = { "type": "array", "items": { "type": "string" } } INTEGER_SCHEMA = { "type": "integer" } BOOLEAN_SCHEMA = { "type": "boolean" } FLOAT_SCHEMA = { "type": "number" } NULLABLE_STRING_SCHEMA = { "anyOf": [STRING_SCHEMA, NULL_SCHEMA] } NULLABLE_INTEGER_SCHEMA = { "anyOf": [INTEGER_SCHEMA, NULL_SCHEMA] } EMAIL_SCHEMA = { "type": "string", "pattern": r"^[a-zA-Z0-9.\-]+@[a-zA-Z0-9]+\.[a-zA-Z0-9.]+$" } NULLABLE_EMAIL_SCHEMA = { "anyOf": [EMAIL_SCHEMA, NULL_SCHEMA] } from .college import ADD_COLLEGE_SCHEMA from .department import ADD_DEPARTMENT_SCHEMA from .student import ADD_STUDENT_SCHEMA SCHEMAS = { "add_college": ADD_COLLEGE_SCHEMA, "add_department": ADD_DEPARTMENT_SCHEMA, "add_student": ADD_STUDENT_SCHEMA }

[ 1, 4770, 8921, 1649, 353, 12801, 5813, 29958, 518, 845, 10910, 29900, 29900, 29962, 29915, 13, 13, 29928, 4717, 7818, 29918, 29946, 29918, 29903, 3210, 26862, 353, 376, 1124, 597, 3126, 29899, 11010, 29889, 990, 29914, 29881, 4154, 29899, 29900, 29946, 29914, 11010, 29937, 29908, 13, 10074, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 4304, 29908, 13, 29913, 13, 20785, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 1807, 29908, 13, 29913, 13, 20785, 29918, 1718, 22800, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 2378, 613, 29871, 13, 1678, 376, 7076, 1115, 426, 13, 4706, 376, 1853, 1115, 376, 1807, 29908, 13, 1678, 500, 13, 29913, 13, 1177, 4330, 17070, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 16031, 29908, 13, 29913, 13, 8456, 29949, 1307, 2190, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 20054, 29908, 13, 29913, 13, 29943, 3927, 1299, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 4537, 29908, 13, 29913, 13, 10074, 6181, 29918, 20785, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1384, 2776, 1115, 518, 20785, 29918, 29903, 3210, 26862, 29892, 4265, 29918, 29903, 3210, 26862, 29962, 13, 29913, 13, 10074, 6181, 29918, 1177, 4330, 17070, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1384, 2776, 1115, 518, 1177, 4330, 17070, 29918, 29903, 3210, 26862, 29892, 4265, 29918, 29903, 3210, 26862, 29962, 13, 29913, 13, 26862, 6227, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1853, 1115, 376, 1807, 613, 13, 1678, 376, 11037, 1115, 364, 29908, 29985, 29961, 29874, 29899, 25265, 29899, 29999, 29900, 29899, 29929, 7790, 29899, 10062, 29992, 29961, 29874, 29899, 25265, 29899, 29999, 29900, 29899, 29929, 29962, 3124, 7226, 29874, 29899, 25265, 29899, 29999, 29900, 29899, 29929, 5586, 24035, 29908, 13, 29913, 13, 10074, 6181, 29918, 26862, 6227, 29918, 29903, 3210, 26862, 353, 426, 13, 1678, 376, 1384, 2776, 1115, 518, 26862, 6227, 29918, 29903, 3210, 26862, 29892, 4265, 29918, 29903, 3210, 26862, 29962, 13, 29913, 13, 13, 13, 13, 3166, 869, 1054, 4424, 1053, 27827, 29918, 15032, 1307, 1692, 29918, 29903, 3210, 26862, 13, 3166, 869, 311, 8076, 1053, 27827, 29918, 2287, 26092, 13780, 29918, 29903, 3210, 26862, 13, 3166, 869, 18945, 1053, 27827, 29918, 1254, 15789, 3919, 29918, 29903, 3210, 26862, 13, 13, 13, 29903, 3210, 26862, 29903, 353, 426, 13, 1678, 376, 1202, 29918, 1054, 4424, 1115, 27827, 29918, 15032, 1307, 1692, 29918, 29903, 3210, 26862, 29892, 13, 1678, 376, 1202, 29918, 311, 8076, 1115, 27827, 29918, 2287, 26092, 13780, 29918, 29903, 3210, 26862, 29892, 13, 1678, 376, 1202, 29918, 18945, 1115, 27827, 29918, 1254, 15789, 3919, 29918, 29903, 3210, 26862, 13, 29913, 2 ]

setup.py

richarddwang/hugdatafast

19

8524

import setuptools from hugdatafast.__init__ import __version__ with open("README.md", "r") as fh: long_description = fh.read() REQUIRED_PKGS = [ 'fastai>=2.0.8', 'fastscore>=1.0.1', # change of store_attr api 'datasets', ] setuptools.setup( name="hugdatafast", version=__version__, author="<NAME>", author_email="<EMAIL>", description="The elegant bridge between hugginface data and fastai", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/richarddwang/hugdatafast", license='Apache 2.0', packages=setuptools.find_packages(), classifiers=[ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "Programming Language :: Python :: 3", "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Topic :: Scientific/Engineering :: Artificial Intelligence", ], python_requires='>=3.6', install_requires=REQUIRED_PKGS, keywords='datasets machine learning datasets metrics fastai huggingface', )

[ 1, 1053, 731, 21245, 8789, 13, 3166, 298, 688, 1272, 11255, 17255, 2344, 1649, 1053, 4770, 3259, 1649, 13, 13, 2541, 1722, 703, 16310, 2303, 29889, 3487, 613, 376, 29878, 1159, 408, 285, 29882, 29901, 13, 1678, 1472, 29918, 8216, 353, 285, 29882, 29889, 949, 580, 13, 13, 1525, 29984, 3120, 19386, 29918, 21738, 10749, 353, 518, 13, 1678, 525, 11255, 1794, 18572, 29906, 29889, 29900, 29889, 29947, 742, 13, 1678, 525, 11255, 13628, 18572, 29896, 29889, 29900, 29889, 29896, 742, 396, 1735, 310, 3787, 29918, 5552, 7882, 13, 1678, 525, 14538, 1691, 742, 13, 29962, 13, 13, 842, 21245, 8789, 29889, 14669, 29898, 13, 1678, 1024, 543, 29882, 688, 1272, 11255, 613, 13, 1678, 1873, 29922, 1649, 3259, 1649, 29892, 13, 1678, 4148, 543, 29966, 5813, 28341, 13, 1678, 4148, 29918, 5269, 543, 29966, 26862, 6227, 28341, 13, 1678, 6139, 543, 1576, 19232, 12945, 1546, 298, 688, 5359, 2161, 848, 322, 5172, 1794, 613, 13, 1678, 1472, 29918, 8216, 29922, 5426, 29918, 8216, 29892, 13, 1678, 1472, 29918, 8216, 29918, 3051, 29918, 1853, 543, 726, 29914, 3502, 3204, 613, 13, 1678, 3142, 543, 991, 597, 3292, 29889, 510, 29914, 4018, 538, 28012, 574, 29914, 29882, 688, 1272, 11255, 613, 13, 1678, 19405, 2433, 17396, 1829, 29871, 29906, 29889, 29900, 742, 13, 1678, 9741, 29922, 842, 21245, 8789, 29889, 2886, 29918, 8318, 3285, 13, 1678, 770, 14903, 11759, 13, 4706, 376, 21956, 358, 16034, 4761, 29871, 29946, 448, 350, 1187, 613, 13, 4706, 376, 2928, 2760, 319, 4749, 663, 4761, 10682, 414, 613, 13, 4706, 376, 2928, 2760, 319, 4749, 663, 4761, 9327, 29914, 1666, 2842, 613, 13, 4706, 376, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 613, 13, 4706, 376, 29931, 293, 1947, 4761, 438, 5425, 28268, 1490, 4761, 13380, 18540, 19245, 613, 13, 4706, 376, 7094, 1218, 2184, 4761, 6570, 25266, 613, 13, 4706, 376, 7031, 293, 4761, 23753, 928, 29914, 12412, 3241, 4761, 3012, 928, 616, 3159, 28286, 613, 13, 1678, 21251, 13, 1678, 3017, 29918, 276, 339, 2658, 2433, 18572, 29941, 29889, 29953, 742, 13, 1678, 2601, 29918, 276, 339, 2658, 29922, 1525, 29984, 3120, 19386, 29918, 21738, 10749, 29892, 13, 1678, 29361, 2433, 14538, 1691, 4933, 6509, 20035, 21556, 5172, 1794, 298, 688, 3460, 2161, 742, 13, 29897, 2 ]

passage/preprocessing.py

vishalbelsare/Passage

597

32950

#!/usr/bin/env python # -*- coding: utf-8 -*- import string from collections import Counter import numpy as np import theano import theano.tensor as T punctuation = set(string.punctuation) punctuation.add('\n') punctuation.add('\t') punctuation.add(u'’') punctuation.add(u'‘') punctuation.add(u'“') punctuation.add(u'”') punctuation.add(u'´') punctuation.add('') def one_hot(X, n=None, negative_class=0.): X = np.asarray(X).flatten() if n is None: n = np.max(X) + 1 Xoh = np.ones((len(X), n)) * negative_class Xoh[np.arange(len(X)), X] = 1. return Xoh def flatten(l): return [item for sublist in l for item in sublist] def lbf(l,b): return [el for el, condition in zip(l, b) if condition] def list_index(l, idxs): return [l[idx] for idx in idxs] def tokenize(text): tokenized = [] w = '' for t in text: if t in punctuation: tokenized.append(w) tokenized.append(t) w = '' elif t == ' ': tokenized.append(w) w = '' else: w += t if w != '': tokenized.append(w) tokenized = [token for token in tokenized if token] return tokenized def token_encoder(texts, max_features=9997, min_df=10): df = {} for text in texts: tokens = set(text) for token in tokens: if token in df: df[token] += 1 else: df[token] = 1 k, v = df.keys(), np.asarray(df.values()) valid = v >= min_df k = lbf(k, valid) v = v[valid] sort_mask = np.argsort(v)[::-1] k = list_index(k, sort_mask)[:max_features] v = v[sort_mask][:max_features] xtoi = dict(zip(k, range(3, len(k)+3))) return xtoi def standardize_targets(Y, cost): Y = np.asarray(Y) ndim = len(Y.shape) if ndim == 1: Y = Y.reshape(-1, 1) if Y.shape[1] == 1 and cost.__name__ == 'CategoricalCrossEntropy': Y = one_hot(Y, negative_class=0.) if Y.shape[1] == 1 and 'Hinge' in cost.__name__: if len(np.unique(Y)) > 2: Y = one_hot(Y, negative_class=-1.) else: Y[Y==0] -= 1 return Y class Tokenizer(object): """ For converting lists of text into tokens used by Passage models. max_features sets the maximum number of tokens (all others are mapped to UNK) min_df sets the minimum number of documents a token must appear in to not get mapped to UNK lowercase controls whether the text is lowercased or not character sets whether the tokenizer works on a character or word level Usage: >>> from passage.preprocessing import Tokenizer >>> example_text = ['This. is.', 'Example TEXT', 'is text'] >>> tokenizer = Tokenizer(min_df=1, lowercase=True, character=False) >>> tokenized = tokenizer.fit_transform(example_text) >>> tokenized [[7, 5, 3, 5], [6, 4], [3, 4]] >>> tokenizer.inverse_transform(tokenized) ['this . is .', 'example text', 'is text'] """ def __init__(self, max_features=9997, min_df=10, lowercase=True, character=False): self.max_features = max_features self.min_df = min_df self.lowercase = lowercase self.character = character def fit(self, texts): if self.lowercase: texts = [text.lower() for text in texts] if self.character: tokens = [list(text) for text in texts] else: tokens = [tokenize(text) for text in texts] self.encoder = token_encoder(tokens, max_features=self.max_features-3, min_df=self.min_df) self.encoder['PAD'] = 0 self.encoder['END'] = 1 self.encoder['UNK'] = 2 self.decoder = dict(zip(self.encoder.values(), self.encoder.keys())) self.n_features = len(self.encoder) return self def transform(self, texts): if self.lowercase: texts = [text.lower() for text in texts] if self.character: texts = [list(text) for text in texts] else: texts = [tokenize(text) for text in texts] tokens = [[self.encoder.get(token, 2) for token in text] for text in texts] return tokens def fit_transform(self, texts): self.fit(texts) tokens = self.transform(texts) return tokens def inverse_transform(self, codes): if self.character: joiner = '' else: joiner = ' ' return [joiner.join([self.decoder[token] for token in code]) for code in codes] class LenFilter(object): def __init__(self, max_len=1000, min_max_len=100, percentile=99): self.max_len = max_len self.percentile = percentile self.min_max_len = min_max_len def filter(self, *data): lens = [len(seq) for seq in data[0]] if self.percentile > 0: max_len = np.percentile(lens, self.percentile) max_len = np.clip(max_len, self.min_max_len, self.max_len) else: max_len = self.max_len valid_idxs = [i for i, l in enumerate(lens) if l <= max_len] if len(data) == 1: return list_index(data[0], valid_idxs) else: return tuple([list_index(d, valid_idxs) for d in data])

[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 5215, 1347, 13, 3166, 16250, 1053, 315, 5336, 13, 13, 5215, 12655, 408, 7442, 13, 5215, 278, 1562, 13, 5215, 278, 1562, 29889, 20158, 408, 323, 13, 13, 29886, 18049, 29884, 362, 353, 731, 29898, 1807, 29889, 29886, 18049, 29884, 362, 29897, 13, 29886, 18049, 29884, 362, 29889, 1202, 28909, 29876, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 28909, 29873, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 29898, 29884, 29915, 30010, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 29898, 29884, 29915, 30086, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 29898, 29884, 29915, 30015, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 29898, 29884, 29915, 30024, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 29898, 29884, 29915, 30165, 1495, 13, 29886, 18049, 29884, 362, 29889, 1202, 877, 1495, 13, 13, 1753, 697, 29918, 8711, 29898, 29990, 29892, 302, 29922, 8516, 29892, 8178, 29918, 1990, 29922, 29900, 9575, 13, 1678, 1060, 353, 7442, 29889, 294, 2378, 29898, 29990, 467, 1579, 8606, 580, 13, 1678, 565, 302, 338, 6213, 29901, 13, 4706, 302, 353, 7442, 29889, 3317, 29898, 29990, 29897, 718, 29871, 29896, 13, 1678, 1060, 1148, 353, 7442, 29889, 2873, 3552, 2435, 29898, 29990, 511, 302, 876, 334, 8178, 29918, 1990, 13, 1678, 1060, 1148, 29961, 9302, 29889, 279, 927, 29898, 2435, 29898, 29990, 8243, 1060, 29962, 353, 29871, 29896, 29889, 13, 1678, 736, 1060, 1148, 13, 13, 1753, 1652, 8606, 29898, 29880, 1125, 13, 1678, 736, 518, 667, 363, 1014, 1761, 297, 301, 363, 2944, 297, 1014, 1761, 29962, 13, 13, 1753, 301, 1635, 29898, 29880, 29892, 29890, 1125, 13, 1678, 736, 518, 295, 363, 560, 29892, 4195, 297, 14319, 29898, 29880, 29892, 289, 29897, 565, 4195, 29962, 13, 13, 1753, 1051, 29918, 2248, 29898, 29880, 29892, 1178, 10351, 1125, 13, 1678, 736, 518, 29880, 29961, 13140, 29962, 363, 22645, 297, 1178, 10351, 29962, 13, 13, 1753, 5993, 675, 29898, 726, 1125, 13, 1678, 5993, 1891, 353, 5159, 13, 1678, 281, 353, 6629, 13, 1678, 363, 260, 297, 1426, 29901, 13, 4706, 565, 260, 297, 6035, 22999, 362, 29901, 13, 9651, 5993, 1891, 29889, 4397, 29898, 29893, 29897, 13, 9651, 5993, 1891, 29889, 4397, 29898, 29873, 29897, 13, 9651, 281, 353, 6629, 13, 4706, 25342, 260, 1275, 525, 525, 29901, 13, 9651, 5993, 1891, 29889, 4397, 29898, 29893, 29897, 13, 9651, 281, 353, 6629, 13, 4706, 1683, 29901, 13, 9651, 281, 4619, 260, 13, 1678, 565, 281, 2804, 525, 2396, 13, 4706, 5993, 1891, 29889, 4397, 29898, 29893, 29897, 13, 1678, 5993, 1891, 353, 518, 6979, 363, 5993, 297, 5993, 1891, 565, 5993, 29962, 13, 1678, 736, 5993, 1891, 13, 13, 1753, 5993, 29918, 3977, 6119, 29898, 726, 29879, 29892, 4236, 29918, 22100, 29922, 29929, 29929, 29929, 29955, 29892, 1375, 29918, 2176, 29922, 29896, 29900, 1125, 13, 1678, 4489, 353, 6571, 13, 1678, 363, 1426, 297, 26442, 29901, 13, 4706, 18897, 353, 731, 29898, 726, 29897, 13, 4706, 363, 5993, 297, 18897, 29901, 13, 9651, 565, 5993, 297, 4489, 29901, 13, 18884, 4489, 29961, 6979, 29962, 4619, 29871, 29896, 13, 9651, 1683, 29901, 13, 18884, 4489, 29961, 6979, 29962, 353, 29871, 29896, 13, 1678, 413, 29892, 325, 353, 4489, 29889, 8149, 3285, 7442, 29889, 294, 2378, 29898, 2176, 29889, 5975, 3101, 13, 1678, 2854, 353, 325, 6736, 1375, 29918, 2176, 13, 1678, 413, 353, 301, 1635, 29898, 29895, 29892, 2854, 29897, 13, 1678, 325, 353, 325, 29961, 3084, 29962, 13, 1678, 2656, 29918, 13168, 353, 7442, 29889, 5085, 441, 29898, 29894, 9601, 1057, 29899, 29896, 29962, 13, 1678, 413, 353, 1051, 29918, 2248, 29898, 29895, 29892, 2656, 29918, 13168, 29897, 7503, 3317, 29918, 22100, 29962, 13, 1678, 325, 353, 325, 29961, 6605, 29918, 13168, 3816, 29901, 3317, 29918, 22100, 29962, 13, 268, 486, 7768, 353, 9657, 29898, 7554, 29898, 29895, 29892, 3464, 29898, 29941, 29892, 7431, 29898, 29895, 7240, 29941, 4961, 13, 1678, 736, 29871, 486, 7768, 13, 13, 1753, 3918, 675, 29918, 5182, 29879, 29898, 29979, 29892, 3438, 1125, 13, 1678, 612, 353, 7442, 29889, 294, 2378, 29898, 29979, 29897, 13, 268, 299, 326, 353, 7431, 29898, 29979, 29889, 12181, 29897, 13, 1678, 565, 29871, 299, 326, 1275, 29871, 29896, 29901, 13, 4706, 612, 353, 612, 29889, 690, 14443, 6278, 29896, 29892, 29871, 29896, 29897, 13, 1678, 565, 612, 29889, 12181, 29961, 29896, 29962, 1275, 29871, 29896, 322, 3438, 17255, 978, 1649, 1275, 525, 29907, 20440, 936, 29907, 2124, 5292, 14441, 2396, 13, 4706, 612, 353, 697, 29918, 8711, 29898, 29979, 29892, 8178, 29918, 1990, 29922, 29900, 1846, 13, 1678, 565, 612, 29889, 12181, 29961, 29896, 29962, 1275, 29871, 29896, 322, 525, 29950, 19144, 29915, 297, 3438, 17255, 978, 1649, 29901, 13, 4706, 565, 7431, 29898, 9302, 29889, 13092, 29898, 29979, 876, 1405, 29871, 29906, 29901, 13, 9651, 612, 353, 697, 29918, 8711, 29898, 29979, 29892, 8178, 29918, 1990, 10457, 29896, 1846, 13, 4706, 1683, 29901, 13, 9651, 612, 29961, 29979, 1360, 29900, 29962, 22361, 29871, 29896, 13, 1678, 736, 612, 13, 13, 1990, 25159, 3950, 29898, 3318, 1125, 13, 1678, 9995, 13, 1678, 1152, 17415, 8857, 310, 1426, 964, 18897, 1304, 491, 6978, 482, 4733, 29889, 13, 1678, 4236, 29918, 22100, 6166, 278, 7472, 1353, 310, 18897, 313, 497, 4045, 526, 20545, 304, 8291, 29968, 29897, 13, 1678, 1375, 29918, 2176, 6166, 278, 9212, 1353, 310, 10701, 263, 5993, 1818, 2615, 297, 304, 451, 679, 20545, 304, 8291, 29968, 13, 1678, 5224, 4878, 11761, 3692, 278, 1426, 338, 5224, 29883, 1463, 470, 451, 13, 1678, 2931, 6166, 3692, 278, 5993, 3950, 1736, 373, 263, 2931, 470, 1734, 3233, 13, 13, 1678, 10783, 482, 29901, 13, 1678, 8653, 515, 13382, 29889, 1457, 19170, 1053, 25159, 3950, 13, 1678, 8653, 1342, 29918, 726, 353, 6024, 4013, 29889, 338, 29889, 742, 525, 14023, 323, 12194, 742, 525, 275, 1426, 2033, 13, 1678, 8653, 5993, 3950, 353, 25159, 3950, 29898, 1195, 29918, 2176, 29922, 29896, 29892, 5224, 4878, 29922, 5574, 29892, 2931, 29922, 8824, 29897, 13, 1678, 8653, 5993, 1891, 353, 5993, 3950, 29889, 9202, 29918, 9067, 29898, 4773, 29918, 726, 29897, 13, 1678, 8653, 5993, 1891, 13, 1678, 5519, 29955, 29892, 29871, 29945, 29892, 29871, 29941, 29892, 29871, 29945, 1402, 518, 29953, 29892, 29871, 29946, 1402, 518, 29941, 29892, 29871, 29946, 5262, 13, 1678, 8653, 5993, 3950, 29889, 262, 3901, 29918, 9067, 29898, 6979, 1891, 29897, 13, 1678, 6024, 1366, 869, 338, 869, 742, 525, 4773, 1426, 742, 525, 275, 1426, 2033, 13, 1678, 9995, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 4236, 29918, 22100, 29922, 29929, 29929, 29929, 29955, 29892, 1375, 29918, 2176, 29922, 29896, 29900, 29892, 5224, 4878, 29922, 5574, 29892, 2931, 29922, 8824, 1125, 13, 4706, 1583, 29889, 3317, 29918, 22100, 353, 4236, 29918, 22100, 13, 4706, 1583, 29889, 1195, 29918, 2176, 353, 1375, 29918, 2176, 13, 4706, 1583, 29889, 13609, 4878, 353, 5224, 4878, 13, 4706, 1583, 29889, 18609, 353, 2931, 13, 13, 1678, 822, 6216, 29898, 1311, 29892, 26442, 1125, 13, 4706, 565, 1583, 29889, 13609, 4878, 29901, 13, 9651, 26442, 353, 518, 726, 29889, 13609, 580, 363, 1426, 297, 26442, 29962, 13, 4706, 565, 1583, 29889, 18609, 29901, 13, 9651, 18897, 353, 518, 1761, 29898, 726, 29897, 363, 1426, 297, 26442, 29962, 13, 4706, 1683, 29901, 13, 9651, 18897, 353, 518, 6979, 675, 29898, 726, 29897, 363, 1426, 297, 26442, 29962, 13, 4706, 1583, 29889, 3977, 6119, 353, 5993, 29918, 3977, 6119, 29898, 517, 12360, 29892, 4236, 29918, 22100, 29922, 1311, 29889, 3317, 29918, 22100, 29899, 29941, 29892, 1375, 29918, 2176, 29922, 1311, 29889, 1195, 29918, 2176, 29897, 13, 4706, 1583, 29889, 3977, 6119, 1839, 29925, 3035, 2033, 353, 29871, 29900, 13, 4706, 1583, 29889, 3977, 6119, 1839, 11794, 2033, 353, 29871, 29896, 13, 4706, 1583, 29889, 3977, 6119, 1839, 3904, 29968, 2033, 353, 29871, 29906, 13, 4706, 1583, 29889, 7099, 6119, 353, 9657, 29898, 7554, 29898, 1311, 29889, 3977, 6119, 29889, 5975, 3285, 1583, 29889, 3977, 6119, 29889, 8149, 22130, 13, 4706, 1583, 29889, 29876, 29918, 22100, 353, 7431, 29898, 1311, 29889, 3977, 6119, 29897, 13, 4706, 736, 1583, 13, 13, 1678, 822, 4327, 29898, 1311, 29892, 26442, 1125, 13, 4706, 565, 1583, 29889, 13609, 4878, 29901, 13, 9651, 26442, 353, 518, 726, 29889, 13609, 580, 363, 1426, 297, 26442, 29962, 13, 4706, 565, 1583, 29889, 18609, 29901, 13, 9651, 26442, 353, 518, 1761, 29898, 726, 29897, 363, 1426, 297, 26442, 29962, 13, 4706, 1683, 29901, 13, 9651, 26442, 353, 518, 6979, 675, 29898, 726, 29897, 363, 1426, 297, 26442, 29962, 13, 4706, 18897, 353, 5519, 1311, 29889, 3977, 6119, 29889, 657, 29898, 6979, 29892, 29871, 29906, 29897, 363, 5993, 297, 1426, 29962, 363, 1426, 297, 26442, 29962, 13, 4706, 736, 18897, 13, 13, 1678, 822, 6216, 29918, 9067, 29898, 1311, 29892, 26442, 1125, 13, 4706, 1583, 29889, 9202, 29898, 726, 29879, 29897, 13, 4706, 18897, 353, 1583, 29889, 9067, 29898, 726, 29879, 29897, 13, 4706, 736, 18897, 13, 13, 1678, 822, 16402, 29918, 9067, 29898, 1311, 29892, 11561, 1125, 13, 4706, 565, 1583, 29889, 18609, 29901, 13, 9651, 2958, 4983, 353, 6629, 13, 4706, 1683, 29901, 13, 9651, 2958, 4983, 353, 525, 525, 13, 4706, 736, 518, 2212, 4983, 29889, 7122, 4197, 1311, 29889, 7099, 6119, 29961, 6979, 29962, 363, 5993, 297, 775, 2314, 363, 775, 297, 11561, 29962, 13, 13, 1990, 16206, 5072, 29898, 3318, 1125, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 4236, 29918, 2435, 29922, 29896, 29900, 29900, 29900, 29892, 1375, 29918, 3317, 29918, 2435, 29922, 29896, 29900, 29900, 29892, 10151, 488, 29922, 29929, 29929, 1125, 13, 4706, 1583, 29889, 3317, 29918, 2435, 353, 4236, 29918, 2435, 13, 4706, 1583, 29889, 25376, 488, 353, 10151, 488, 13, 4706, 1583, 29889, 1195, 29918, 3317, 29918, 2435, 353, 1375, 29918, 3317, 29918, 2435, 13, 13, 1678, 822, 4175, 29898, 1311, 29892, 334, 1272, 1125, 13, 4706, 301, 575, 353, 518, 2435, 29898, 11762, 29897, 363, 19359, 297, 848, 29961, 29900, 5262, 13, 4706, 565, 1583, 29889, 25376, 488, 1405, 29871, 29900, 29901, 13, 9651, 4236, 29918, 2435, 353, 7442, 29889, 25376, 488, 29898, 29880, 575, 29892, 1583, 29889, 25376, 488, 29897, 13, 9651, 4236, 29918, 2435, 353, 7442, 29889, 24049, 29898, 3317, 29918, 2435, 29892, 1583, 29889, 1195, 29918, 3317, 29918, 2435, 29892, 1583, 29889, 3317, 29918, 2435, 29897, 13, 4706, 1683, 29901, 13, 9651, 4236, 29918, 2435, 353, 1583, 29889, 3317, 29918, 2435, 13, 4706, 2854, 29918, 333, 10351, 353, 518, 29875, 363, 474, 29892, 301, 297, 26985, 29898, 29880, 575, 29897, 565, 301, 5277, 4236, 29918, 2435, 29962, 13, 4706, 565, 7431, 29898, 1272, 29897, 1275, 29871, 29896, 29901, 13, 9651, 736, 1051, 29918, 2248, 29898, 1272, 29961, 29900, 1402, 2854, 29918, 333, 10351, 29897, 13, 4706, 1683, 29901, 13, 9651, 736, 18761, 4197, 1761, 29918, 2248, 29898, 29881, 29892, 2854, 29918, 333, 10351, 29897, 363, 270, 297, 848, 2314, 13, 13, 2 ]

loop/forms.py

Brian569/neighbourhood

0

167974

<gh_stars>0 from django import forms from .models import * class ProfileupdateForm(forms.ModelForm): class Meta: model = profileUser fields = ['profile_name', 'profile_pic', 'email', 'bio'] exclude = ['user', 'location'] class BussinessForm(forms.ModelForm): class Meta: model = Bussiness fields = ['business_name', 'business_email', 'phone_number', 'neighborhood', 'business_photo', 'details'] exclude = ['owner'] class NeighborHoodForm(forms.ModelForm): class Meta: model = NeighborHood fields = ['name', 'location', 'image'] exclude = ['resider'] class PostForm(forms.ModelForm): class Meta: model = Posts fields = ['title', 'content', 'picture'] exclude = ['owner'] class HealthForm(forms.ModelForm): class Meta: model = Health fields = ['name', 'email', 'picture', 'about', 'neighborhood', 'phone_number'] class PoliceForm(forms.ModelForm): class Meta: model = Police fields = ['name', 'email', 'image', 'neigborhood', 'phone_number', 'about']

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 9557, 1053, 7190, 13, 3166, 869, 9794, 1053, 334, 13, 13, 1990, 20802, 5504, 2500, 29898, 9514, 29889, 3195, 2500, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 8722, 2659, 13, 4706, 4235, 353, 6024, 10185, 29918, 978, 742, 525, 10185, 29918, 16447, 742, 525, 5269, 742, 525, 24840, 2033, 13, 4706, 19060, 353, 6024, 1792, 742, 525, 5479, 2033, 13, 13, 13, 1990, 350, 1558, 3335, 2500, 29898, 9514, 29889, 3195, 2500, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 350, 1558, 3335, 13, 4706, 4235, 353, 6024, 8262, 3335, 29918, 978, 742, 525, 8262, 3335, 29918, 5269, 742, 525, 6710, 29918, 4537, 742, 525, 484, 1141, 4089, 6614, 742, 525, 8262, 3335, 29918, 21596, 742, 525, 14144, 2033, 13, 4706, 19060, 353, 6024, 20348, 2033, 13, 13, 1990, 2448, 1141, 4089, 29950, 2092, 2500, 29898, 9514, 29889, 3195, 2500, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 2448, 1141, 4089, 29950, 2092, 13, 4706, 4235, 353, 6024, 978, 742, 525, 5479, 742, 525, 3027, 2033, 13, 4706, 19060, 353, 6024, 690, 1241, 2033, 13, 13, 1990, 4918, 2500, 29898, 9514, 29889, 3195, 2500, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 4918, 29879, 13, 4706, 4235, 353, 6024, 3257, 742, 525, 3051, 742, 525, 12095, 2033, 13, 4706, 19060, 353, 6024, 20348, 2033, 13, 13, 1990, 15202, 2500, 29898, 9514, 29889, 3195, 2500, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 15202, 13, 4706, 4235, 353, 6024, 978, 742, 525, 5269, 742, 525, 12095, 742, 525, 12717, 742, 525, 484, 1141, 4089, 6614, 742, 525, 6710, 29918, 4537, 2033, 13, 13, 13, 1990, 18923, 2500, 29898, 9514, 29889, 3195, 2500, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 18923, 13, 4706, 4235, 353, 6024, 978, 742, 29871, 525, 5269, 742, 525, 3027, 742, 525, 484, 335, 4089, 6614, 742, 525, 6710, 29918, 4537, 742, 525, 12717, 2033, 2 ]

calvinextras/calvinsys/io/gpiopin/raspberry_pi/PIGPIOPin.py

gabrielcercel/calvin-base

334

102467

<reponame>gabrielcercel/calvin-base<filename>calvinextras/calvinsys/io/gpiopin/raspberry_pi/PIGPIOPin.py # -*- coding: utf-8 -*- # Copyright (c) 2015 Ericsson AB # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from calvinextras.calvinsys.io.gpiopin import BaseGPIOPin from calvin.utilities.calvinlogger import get_logger import pigpio _log = get_logger(__name__) class PIGPIOPin(BaseGPIOPin.BaseGPIOPin): """ Calvinsys object handling a general-purpose input/output pin using the RPi.GPIO package """ PULL = {"up": pigpio.PUD_UP, "down": pigpio.PUD_DOWN, "off": pigpio.PUD_OFF} MODE = {"in": pigpio.INPUT, "out": pigpio.OUTPUT} EDGE = {"rising": pigpio.RISING_EDGE, "falling": pigpio.FALLING_EDGE, "both": pigpio.EITHER_EDGE} def init(self, pin, direction, pull=None, edge=None, bouncetime=None, **kwargs): self._values = [] self._pin = pin self._direction = direction self._debounce = 1000*bouncetime if bouncetime else None # bouncetime is ms, pigpio uses us self._edge = edge self._gpio = pigpio.pi() self._cb = None try : mode = self.MODE[direction.lower()] except KeyError: raise Exception("Unknown direction '{}', should be IN, OUT".format(direction)) if mode == pigpio.INPUT: try: pud = self.PULL[pull.lower()] if pull else pigpio.PUD_OFF except KeyError: raise Exception("Unknown pull '{}', should be UP, DOWN, OFF".format(pull)) self._gpio.set_pull_up_down(pin, pud) if self._debounce: self._gpio.set_glitch_filter(pin, self._debounce) self._gpio.set_mode(pin, mode) if edge is not None: try: detect = self.EDGE[edge.lower()] except KeyError: raise Exception("Unknown edge '{}', should be RISING, FALLING, BOTH") self._cb = self._gpio.callback(pin, detect, self._edge_cb) def _edge_cb(self, pin, edge, tick): if edge != 2: self._values.append(edge) self.scheduler_wakeup() def can_write(self): return self._direction.lower() == "out" def write(self, value): self._gpio.write(self._pin, 1 if value else 0) def can_read(self): if self._direction.lower() == 'in': return bool(self._values) return False def read(self): if self._values: return self._values.pop(0) else: return self._gpio.read(self._pin) def close(self): if self._cb: self._cb.cancel() del self._gpio self._gpio = None

[ 1, 529, 276, 1112, 420, 29958, 29887, 370, 12836, 2265, 2242, 29914, 1052, 3845, 29899, 3188, 29966, 9507, 29958, 1052, 29894, 457, 486, 3417, 29914, 1052, 29894, 1144, 952, 29914, 601, 29914, 29887, 1631, 459, 262, 29914, 3417, 29886, 16344, 29918, 1631, 29914, 2227, 29954, 2227, 4590, 262, 29889, 2272, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 29937, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29945, 14713, 12371, 17571, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 268, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 13, 3166, 1208, 29894, 457, 486, 3417, 29889, 1052, 29894, 1144, 952, 29889, 601, 29889, 29887, 1631, 459, 262, 1053, 7399, 29954, 2227, 4590, 262, 13, 3166, 1208, 3845, 29889, 4422, 1907, 29889, 1052, 3845, 21707, 1053, 679, 29918, 21707, 13, 5215, 282, 335, 16168, 13, 13, 29918, 1188, 353, 679, 29918, 21707, 22168, 978, 1649, 29897, 13, 13, 1990, 349, 6259, 2227, 4590, 262, 29898, 5160, 29954, 2227, 4590, 262, 29889, 5160, 29954, 2227, 4590, 262, 1125, 13, 1678, 9995, 13, 1678, 3037, 29894, 1144, 952, 1203, 11415, 263, 2498, 29899, 15503, 4220, 1881, 29914, 4905, 12534, 773, 278, 390, 12197, 29889, 29954, 2227, 29949, 3577, 13, 1678, 9995, 13, 268, 13, 1678, 349, 3299, 353, 8853, 786, 1115, 282, 335, 16168, 29889, 7056, 29928, 29918, 4897, 29892, 376, 3204, 1115, 282, 335, 16168, 29889, 7056, 29928, 29918, 3970, 16048, 29892, 376, 2696, 1115, 282, 335, 16168, 29889, 7056, 29928, 29918, 27681, 29913, 13, 1678, 16999, 2287, 353, 8853, 262, 1115, 282, 335, 16168, 29889, 1177, 12336, 29892, 376, 449, 1115, 282, 335, 16168, 29889, 12015, 12336, 29913, 13, 1678, 9408, 1692, 353, 8853, 3780, 292, 1115, 282, 335, 16168, 29889, 29934, 3235, 4214, 29918, 3352, 1692, 29892, 376, 11950, 292, 1115, 282, 335, 16168, 29889, 29943, 9818, 4214, 29918, 3352, 1692, 29892, 376, 20313, 1115, 282, 335, 16168, 29889, 29923, 1806, 4448, 29918, 3352, 1692, 29913, 13, 268, 13, 1678, 822, 2069, 29898, 1311, 29892, 12534, 29892, 5305, 29892, 8206, 29922, 8516, 29892, 7636, 29922, 8516, 29892, 289, 1309, 29883, 5410, 29922, 8516, 29892, 3579, 19290, 1125, 13, 4706, 1583, 3032, 5975, 353, 5159, 13, 4706, 1583, 3032, 12687, 353, 12534, 13, 4706, 1583, 3032, 20845, 353, 5305, 13, 4706, 1583, 3032, 16529, 21543, 353, 29871, 29896, 29900, 29900, 29900, 29930, 29890, 1309, 29883, 5410, 565, 289, 1309, 29883, 5410, 1683, 6213, 396, 289, 1309, 29883, 5410, 338, 10887, 29892, 282, 335, 16168, 3913, 502, 13, 4706, 1583, 3032, 12864, 353, 7636, 13, 4706, 1583, 3032, 29887, 16168, 353, 282, 335, 16168, 29889, 1631, 580, 13, 4706, 1583, 3032, 10702, 353, 6213, 13, 308, 13, 4706, 1018, 584, 13, 9651, 4464, 353, 1583, 29889, 20387, 29961, 20845, 29889, 13609, 580, 29962, 13, 4706, 5174, 7670, 2392, 29901, 13, 9651, 12020, 8960, 703, 14148, 5305, 525, 8875, 742, 881, 367, 2672, 29892, 19474, 1642, 4830, 29898, 20845, 876, 13, 308, 13, 4706, 565, 4464, 1275, 282, 335, 16168, 29889, 1177, 12336, 29901, 13, 9651, 1018, 29901, 13, 18884, 282, 566, 353, 1583, 29889, 29925, 3299, 29961, 26746, 29889, 13609, 580, 29962, 565, 8206, 1683, 282, 335, 16168, 29889, 7056, 29928, 29918, 27681, 13, 9651, 5174, 7670, 2392, 29901, 13, 18884, 12020, 8960, 703, 14148, 8206, 525, 8875, 742, 881, 367, 11901, 29892, 360, 9806, 29940, 29892, 438, 4198, 1642, 4830, 29898, 26746, 876, 13, 9651, 1583, 3032, 29887, 16168, 29889, 842, 29918, 26746, 29918, 786, 29918, 3204, 29898, 12687, 29892, 282, 566, 29897, 13, 9651, 565, 1583, 3032, 16529, 21543, 29901, 13, 18884, 1583, 3032, 29887, 16168, 29889, 842, 29918, 3820, 2335, 29918, 4572, 29898, 12687, 29892, 1583, 3032, 16529, 21543, 29897, 13, 632, 13, 4706, 1583, 3032, 29887, 16168, 29889, 842, 29918, 8513, 29898, 12687, 29892, 4464, 29897, 13, 13, 13, 4706, 565, 7636, 338, 451, 6213, 29901, 13, 9651, 1018, 29901, 13, 18884, 6459, 353, 1583, 29889, 3352, 1692, 29961, 12864, 29889, 13609, 580, 29962, 13, 9651, 5174, 7670, 2392, 29901, 13, 18884, 12020, 8960, 703, 14148, 7636, 525, 8875, 742, 881, 367, 390, 3235, 4214, 29892, 383, 9818, 4214, 29892, 350, 2891, 29950, 1159, 13, 9651, 1583, 3032, 10702, 353, 1583, 3032, 29887, 16168, 29889, 14035, 29898, 12687, 29892, 6459, 29892, 1583, 3032, 12864, 29918, 10702, 29897, 13, 13, 1678, 822, 903, 12864, 29918, 10702, 29898, 1311, 29892, 12534, 29892, 7636, 29892, 16892, 1125, 13, 4706, 565, 7636, 2804, 29871, 29906, 29901, 13, 9651, 1583, 3032, 5975, 29889, 4397, 29898, 12864, 29897, 13, 9651, 1583, 29889, 816, 14952, 29918, 29893, 1296, 786, 580, 13, 13, 1678, 822, 508, 29918, 3539, 29898, 1311, 1125, 13, 4706, 736, 1583, 3032, 20845, 29889, 13609, 580, 1275, 376, 449, 29908, 13, 13, 1678, 822, 2436, 29898, 1311, 29892, 995, 1125, 13, 4706, 1583, 3032, 29887, 16168, 29889, 3539, 29898, 1311, 3032, 12687, 29892, 29871, 29896, 565, 995, 1683, 29871, 29900, 29897, 13, 13, 1678, 822, 508, 29918, 949, 29898, 1311, 1125, 13, 4706, 565, 1583, 3032, 20845, 29889, 13609, 580, 1275, 525, 262, 2396, 13, 9651, 736, 6120, 29898, 1311, 3032, 5975, 29897, 13, 4706, 736, 7700, 13, 13, 1678, 822, 1303, 29898, 1311, 1125, 13, 4706, 565, 1583, 3032, 5975, 29901, 13, 9651, 736, 1583, 3032, 5975, 29889, 7323, 29898, 29900, 29897, 13, 4706, 1683, 29901, 13, 9651, 736, 1583, 3032, 29887, 16168, 29889, 949, 29898, 1311, 3032, 12687, 29897, 13, 13, 1678, 822, 3802, 29898, 1311, 1125, 13, 4706, 565, 1583, 3032, 10702, 29901, 13, 9651, 1583, 3032, 10702, 29889, 20713, 580, 13, 4706, 628, 1583, 3032, 29887, 16168, 13, 4706, 1583, 3032, 29887, 16168, 353, 6213, 13, 2 ]

app/recipe/tests/test_tags_api.py

deepan-py/recipe-app-api

0

1604740

<gh_stars>0 from django.contrib.auth import get_user_model from django.urls import reverse from django.test import TestCase from rest_framework import status from rest_framework.test import APIClient try: from ...core.models import Tag, Recipe except ImportError: from core.models import Tag, Recipe # The above try except block is not necessary both are same but # from ...core.models import Tag raises ImportError in django tests # from core.models import Tag causes import warning in vscode # So for my convenience I used this try except block from ..serializer import TagSerializer TAGS_URL = reverse('recipe:tag-list') class PublicTagsApiTests(TestCase): """Test publicly available tags API""" def setUp(self): self.client = APIClient() def test_login_require(self): """Test that login is required for retrieving tags""" res = self.client.get(TAGS_URL) self.assertEqual(res.status_code, status.HTTP_401_UNAUTHORIZED) class PrivateTagsApiTests(TestCase): """Test the authorized user tags API""" def setUp(self): self.user = get_user_model().objects.create_user( '<EMAIL>', 'test123' ) self.client = APIClient() self.client.force_authenticate(self.user) def test_retrieve_tags(self): """Test retrieving tags""" Tag.objects.create(user=self.user, name='vegan') Tag.objects.create(user=self.user, name='Desert') res = self.client.get(TAGS_URL) tags = Tag.objects.all().order_by('-name') # return reverse by name serializer = TagSerializer(tags, many=True) self.assertEqual(res.status_code, status.HTTP_200_OK) self.assertEqual(res.data, serializer.data) def test_tags_limited_to_user(self): """Test that tags returened are for authenticated user""" user2 = get_user_model().objects.create_user( '<EMAIL>', 'test123' ) Tag.objects.create(user=user2, name='fruity') tag = Tag.objects.create(user=self.user, name='comfort food') res = self.client.get(TAGS_URL) self.assertEqual(res.status_code, status.HTTP_200_OK) self.assertEqual(len(res.data), 1) self.assertEqual(res.data[0]['name'], tag.name) def test_create_tag_successful(self): """Test creating a new tag""" payload = { 'name': 'test tag' } self.client.post(TAGS_URL, payload) exists = Tag.objects.filter( user=self.user, name=payload['name'] ).exists() self.assertTrue(exists) def test_create_tag_invalid(self): """Test creating a new tag with invalid payload""" payload = {'name': ''} res = self.client.post(TAGS_URL, payload) self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) def test_retrieve_tags_assigned_to_recipe(self): """Test filtering tags by those assigned to recipes""" tag1 = Tag.objects.create(user=self.user, name='Breakfast') tag2 = Tag.objects.create(user=self.user, name='another') recipe = Recipe.objects.create( title='corriander', time_minutes=10, price=5.00, user=self.user ) recipe.tags.add(tag1) res = self.client.get(TAGS_URL, {'assigned_only': 1}) serializer1 = TagSerializer(tag1) serializer2 = TagSerializer(tag2) self.assertIn(serializer1.data, res.data) self.assertNotIn(serializer2.data, res.data)

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 9557, 29889, 21570, 29889, 5150, 1053, 679, 29918, 1792, 29918, 4299, 13, 3166, 9557, 29889, 26045, 1053, 11837, 13, 3166, 9557, 29889, 1688, 1053, 4321, 8259, 13, 3166, 1791, 29918, 4468, 1053, 4660, 13, 3166, 1791, 29918, 4468, 29889, 1688, 1053, 3450, 4032, 13, 13, 13, 2202, 29901, 13, 1678, 515, 2023, 3221, 29889, 9794, 1053, 10522, 29892, 830, 24044, 13, 19499, 16032, 2392, 29901, 13, 1678, 515, 7136, 29889, 9794, 1053, 10522, 29892, 830, 24044, 13, 13, 29937, 450, 2038, 1018, 5174, 2908, 338, 451, 5181, 1716, 526, 1021, 541, 13, 29937, 515, 2023, 3221, 29889, 9794, 1053, 10522, 1153, 4637, 16032, 2392, 297, 9557, 6987, 13, 29937, 515, 7136, 29889, 9794, 1053, 10522, 9946, 1053, 9177, 297, 7186, 401, 13, 29937, 1105, 363, 590, 29703, 306, 1304, 445, 1018, 5174, 2908, 13, 3166, 6317, 15550, 3950, 1053, 10522, 17679, 13, 13, 13, 6040, 10749, 29918, 4219, 353, 11837, 877, 4361, 412, 29901, 4039, 29899, 1761, 1495, 13, 13, 13, 1990, 5236, 28089, 11713, 24376, 29898, 3057, 8259, 1125, 13, 1678, 9995, 3057, 970, 368, 3625, 8282, 3450, 15945, 29908, 13, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 29889, 4645, 353, 3450, 4032, 580, 13, 13, 1678, 822, 1243, 29918, 7507, 29918, 12277, 29898, 1311, 1125, 13, 4706, 9995, 3057, 393, 6464, 338, 3734, 363, 5663, 15387, 8282, 15945, 29908, 13, 4706, 620, 353, 1583, 29889, 4645, 29889, 657, 29898, 6040, 10749, 29918, 4219, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 690, 29889, 4882, 29918, 401, 29892, 4660, 29889, 10493, 29918, 29946, 29900, 29896, 29918, 29965, 3521, 2692, 29950, 1955, 26664, 3352, 29897, 13, 13, 13, 1990, 12230, 28089, 11713, 24376, 29898, 3057, 8259, 1125, 13, 1678, 9995, 3057, 278, 4148, 1891, 1404, 8282, 3450, 15945, 29908, 13, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 29889, 1792, 353, 679, 29918, 1792, 29918, 4299, 2141, 12650, 29889, 3258, 29918, 1792, 29898, 13, 9651, 12801, 26862, 6227, 29958, 742, 13, 9651, 525, 1688, 29896, 29906, 29941, 29915, 13, 4706, 1723, 13, 4706, 1583, 29889, 4645, 353, 3450, 4032, 580, 13, 4706, 1583, 29889, 4645, 29889, 10118, 29918, 27218, 403, 29898, 1311, 29889, 1792, 29897, 13, 13, 1678, 822, 1243, 29918, 276, 509, 2418, 29918, 11338, 29898, 1311, 1125, 13, 4706, 9995, 3057, 5663, 15387, 8282, 15945, 29908, 13, 4706, 10522, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 1311, 29889, 1792, 29892, 1024, 2433, 345, 6249, 1495, 13, 4706, 10522, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 1311, 29889, 1792, 29892, 1024, 2433, 4002, 814, 1495, 13, 4706, 620, 353, 1583, 29889, 4645, 29889, 657, 29898, 6040, 10749, 29918, 4219, 29897, 13, 4706, 8282, 353, 10522, 29889, 12650, 29889, 497, 2141, 2098, 29918, 1609, 877, 29899, 978, 1495, 13, 4706, 396, 736, 11837, 491, 1024, 13, 4706, 7797, 3950, 353, 10522, 17679, 29898, 11338, 29892, 1784, 29922, 5574, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 690, 29889, 4882, 29918, 401, 29892, 4660, 29889, 10493, 29918, 29906, 29900, 29900, 29918, 8949, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 690, 29889, 1272, 29892, 7797, 3950, 29889, 1272, 29897, 13, 13, 1678, 822, 1243, 29918, 11338, 29918, 29044, 29918, 517, 29918, 1792, 29898, 1311, 1125, 13, 4706, 9995, 3057, 393, 8282, 3240, 332, 6419, 526, 363, 15585, 630, 1404, 15945, 29908, 13, 4706, 1404, 29906, 353, 679, 29918, 1792, 29918, 4299, 2141, 12650, 29889, 3258, 29918, 1792, 29898, 13, 9651, 12801, 26862, 6227, 29958, 742, 13, 9651, 525, 1688, 29896, 29906, 29941, 29915, 13, 4706, 1723, 13, 4706, 10522, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 1792, 29906, 29892, 1024, 2433, 29888, 582, 537, 1495, 13, 4706, 4055, 353, 10522, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 1311, 29889, 1792, 29892, 1024, 2433, 510, 3921, 9687, 1495, 13, 4706, 620, 353, 1583, 29889, 4645, 29889, 657, 29898, 6040, 10749, 29918, 4219, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 690, 29889, 4882, 29918, 401, 29892, 4660, 29889, 10493, 29918, 29906, 29900, 29900, 29918, 8949, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2435, 29898, 690, 29889, 1272, 511, 29871, 29896, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 690, 29889, 1272, 29961, 29900, 22322, 978, 7464, 4055, 29889, 978, 29897, 13, 13, 1678, 822, 1243, 29918, 3258, 29918, 4039, 29918, 8698, 1319, 29898, 1311, 1125, 13, 4706, 9995, 3057, 4969, 263, 716, 4055, 15945, 29908, 13, 4706, 20092, 353, 426, 13, 9651, 525, 978, 2396, 525, 1688, 4055, 29915, 13, 4706, 500, 13, 4706, 1583, 29889, 4645, 29889, 2490, 29898, 6040, 10749, 29918, 4219, 29892, 20092, 29897, 13, 4706, 4864, 353, 10522, 29889, 12650, 29889, 4572, 29898, 13, 9651, 1404, 29922, 1311, 29889, 1792, 29892, 13, 9651, 1024, 29922, 23813, 1839, 978, 2033, 13, 4706, 13742, 9933, 580, 13, 4706, 1583, 29889, 9294, 5574, 29898, 9933, 29897, 13, 13, 1678, 822, 1243, 29918, 3258, 29918, 4039, 29918, 20965, 29898, 1311, 1125, 13, 4706, 9995, 3057, 4969, 263, 716, 4055, 411, 8340, 20092, 15945, 29908, 13, 4706, 20092, 353, 11117, 978, 2396, 6629, 29913, 13, 4706, 620, 353, 1583, 29889, 4645, 29889, 2490, 29898, 6040, 10749, 29918, 4219, 29892, 20092, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 690, 29889, 4882, 29918, 401, 29892, 4660, 29889, 10493, 29918, 29946, 29900, 29900, 29918, 29933, 3035, 29918, 16244, 29897, 13, 13, 1678, 822, 1243, 29918, 276, 509, 2418, 29918, 11338, 29918, 465, 12961, 29918, 517, 29918, 4361, 412, 29898, 1311, 1125, 13, 4706, 9995, 3057, 21166, 8282, 491, 1906, 9859, 304, 9522, 5547, 15945, 29908, 13, 4706, 4055, 29896, 353, 10522, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 1311, 29889, 1792, 29892, 1024, 2433, 20130, 557, 11255, 1495, 13, 4706, 4055, 29906, 353, 10522, 29889, 12650, 29889, 3258, 29898, 1792, 29922, 1311, 29889, 1792, 29892, 1024, 2433, 23327, 1495, 13, 4706, 9522, 412, 353, 830, 24044, 29889, 12650, 29889, 3258, 29898, 13, 9651, 3611, 2433, 2616, 374, 3825, 742, 13, 9651, 931, 29918, 1195, 2667, 29922, 29896, 29900, 29892, 13, 9651, 8666, 29922, 29945, 29889, 29900, 29900, 29892, 13, 9651, 1404, 29922, 1311, 29889, 1792, 13, 4706, 1723, 13, 4706, 9522, 412, 29889, 11338, 29889, 1202, 29898, 4039, 29896, 29897, 13, 4706, 620, 353, 1583, 29889, 4645, 29889, 657, 29898, 6040, 10749, 29918, 4219, 29892, 11117, 465, 12961, 29918, 6194, 2396, 29871, 29896, 1800, 13, 4706, 7797, 3950, 29896, 353, 10522, 17679, 29898, 4039, 29896, 29897, 13, 4706, 7797, 3950, 29906, 353, 10522, 17679, 29898, 4039, 29906, 29897, 13, 4706, 1583, 29889, 9294, 797, 29898, 15550, 3950, 29896, 29889, 1272, 29892, 620, 29889, 1272, 29897, 13, 4706, 1583, 29889, 9294, 3664, 797, 29898, 15550, 3950, 29906, 29889, 1272, 29892, 620, 29889, 1272, 29897, 13, 2 ]

pi/camera/capture.py

gwsystems/scum

0

177938

# simple script for img capture # takes 1 arg: filename (.jpg) import sys from picamera import PiCamera from time import sleep # create instance camera = PiCamera() # Takes a string, ie. 'img.jpg' def capture(filename): # camera needs time to adjust brightness # this is the shortest delay sleep(0.15) # capture and save img as filename camera.capture(filename) filename = 'img.jpg' if len(sys.argv) == 2: filename = sys.argv[1] capture(filename) print('captured ' + filename)

[ 1, 396, 2560, 2471, 363, 10153, 10446, 13, 29937, 4893, 29871, 29896, 1852, 29901, 10422, 14544, 6173, 29897, 13, 5215, 10876, 13, 3166, 11942, 314, 1572, 1053, 7362, 20717, 13, 3166, 931, 1053, 8709, 13, 13, 29937, 1653, 2777, 13, 26065, 353, 7362, 20717, 580, 13, 29871, 13, 29937, 323, 6926, 263, 1347, 29892, 19282, 29889, 525, 2492, 29889, 6173, 29915, 13, 1753, 10446, 29898, 9507, 1125, 13, 1678, 13, 1678, 396, 10656, 4225, 931, 304, 10365, 11785, 2264, 13, 1678, 396, 445, 338, 278, 3273, 342, 9055, 13, 1678, 8709, 29898, 29900, 29889, 29896, 29945, 29897, 13, 268, 13, 1678, 396, 10446, 322, 4078, 10153, 408, 10422, 13, 1678, 10656, 29889, 17885, 545, 29898, 9507, 29897, 13, 13, 9507, 353, 525, 2492, 29889, 6173, 29915, 13, 361, 7431, 29898, 9675, 29889, 19218, 29897, 1275, 29871, 29906, 29901, 13, 1678, 10422, 353, 10876, 29889, 19218, 29961, 29896, 29962, 13, 17885, 545, 29898, 9507, 29897, 13, 2158, 877, 17885, 2955, 525, 718, 10422, 29897, 13, 13, 2 ]

barcode/charsets/ean.py

Azd325/python-barcode

0

12757

<reponame>Azd325/python-barcode<gh_stars>0 EDGE = '101' MIDDLE = '01010' CODES = { 'A': ( '0001101', '0011001', '0010011', '0111101', '0100011', '0110001', '0101111', '0111011', '0110111', '0001011' ), 'B': ( '0100111', '0110011', '0011011', '0100001', '0011101', '0111001', '0000101', '0010001', '0001001', '0010111' ), 'C': ( '1110010', '1100110', '1101100', '1000010', '1011100', '1001110', '1010000', '1000100', '1001000', '1110100' ), } LEFT_PATTERN = ( 'AAAAAA', 'AABABB', 'AABBAB', 'AABBBA', 'ABAABB', 'ABBAAB', 'ABBBAA', 'ABABAB', 'ABABBA', 'ABBABA' )

[ 1, 529, 276, 1112, 420, 29958, 29909, 8849, 29941, 29906, 29945, 29914, 4691, 29899, 1646, 401, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 3352, 1692, 353, 525, 29896, 29900, 29896, 29915, 13, 29924, 1367, 29928, 1307, 353, 525, 29900, 29896, 29900, 29896, 29900, 29915, 13, 16524, 29903, 353, 426, 13, 1678, 525, 29909, 2396, 313, 13, 4706, 525, 29900, 29900, 29900, 29896, 29896, 29900, 29896, 742, 525, 29900, 29900, 29896, 29896, 29900, 29900, 29896, 742, 525, 29900, 29900, 29896, 29900, 29900, 29896, 29896, 742, 525, 29900, 29896, 29896, 29896, 29896, 29900, 29896, 742, 525, 29900, 29896, 29900, 29900, 29900, 29896, 29896, 742, 525, 29900, 29896, 29896, 29900, 29900, 29900, 29896, 742, 13, 4706, 525, 29900, 29896, 29900, 29896, 29896, 29896, 29896, 742, 525, 29900, 29896, 29896, 29896, 29900, 29896, 29896, 742, 525, 29900, 29896, 29896, 29900, 29896, 29896, 29896, 742, 525, 29900, 29900, 29900, 29896, 29900, 29896, 29896, 29915, 13, 1678, 10353, 13, 1678, 525, 29933, 2396, 313, 13, 4706, 525, 29900, 29896, 29900, 29900, 29896, 29896, 29896, 742, 525, 29900, 29896, 29896, 29900, 29900, 29896, 29896, 742, 525, 29900, 29900, 29896, 29896, 29900, 29896, 29896, 742, 525, 29900, 29896, 29900, 29900, 29900, 29900, 29896, 742, 525, 29900, 29900, 29896, 29896, 29896, 29900, 29896, 742, 525, 29900, 29896, 29896, 29896, 29900, 29900, 29896, 742, 13, 4706, 525, 29900, 29900, 29900, 29900, 29896, 29900, 29896, 742, 525, 29900, 29900, 29896, 29900, 29900, 29900, 29896, 742, 525, 29900, 29900, 29900, 29896, 29900, 29900, 29896, 742, 525, 29900, 29900, 29896, 29900, 29896, 29896, 29896, 29915, 13, 1678, 10353, 13, 1678, 525, 29907, 2396, 313, 13, 4706, 525, 29896, 29896, 29896, 29900, 29900, 29896, 29900, 742, 525, 29896, 29896, 29900, 29900, 29896, 29896, 29900, 742, 525, 29896, 29896, 29900, 29896, 29896, 29900, 29900, 742, 525, 29896, 29900, 29900, 29900, 29900, 29896, 29900, 742, 525, 29896, 29900, 29896, 29896, 29896, 29900, 29900, 742, 525, 29896, 29900, 29900, 29896, 29896, 29896, 29900, 742, 13, 4706, 525, 29896, 29900, 29896, 29900, 29900, 29900, 29900, 742, 525, 29896, 29900, 29900, 29900, 29896, 29900, 29900, 742, 525, 29896, 29900, 29900, 29896, 29900, 29900, 29900, 742, 525, 29896, 29896, 29896, 29900, 29896, 29900, 29900, 29915, 13, 1678, 10353, 13, 29913, 13, 28024, 29918, 29925, 1299, 4945, 29940, 353, 313, 13, 1678, 525, 23184, 6344, 742, 525, 29909, 2882, 2882, 29933, 742, 525, 29909, 2882, 29933, 2882, 742, 525, 29909, 2882, 29933, 5688, 742, 525, 2882, 29909, 2882, 29933, 742, 525, 2882, 5688, 2882, 742, 525, 2882, 29933, 5688, 29909, 742, 13, 1678, 525, 2882, 2882, 2882, 742, 525, 2882, 2882, 5688, 742, 525, 2882, 29933, 2882, 29909, 29915, 13, 29897, 13, 2 ]

gym/envs/yumi/yumi_constrained.py

carlo-/gym

1

102191

<reponame>carlo-/gym<filename>gym/envs/yumi/yumi_constrained.py<gh_stars>1-10 import copy import numpy as np import gym from gym import spaces from gym.envs.yumi.yumi_env import YumiEnv, YumiTask from gym.utils import transformations as tf from gym.envs.robotics.utils import reset_mocap2body_xpos def _goal_distance(goal_a, goal_b): assert goal_a.shape == goal_b.shape assert goal_a.shape[-1] == 3 delta_pos = goal_a[..., :3] - goal_b[..., :3] d_pos = np.linalg.norm(delta_pos, axis=-1) return d_pos def _mocap_set_action(sim, action): # Originally from gym.envs.robotics.utils if sim.model.nmocap > 0: pos_delta = action[:, :3] quat_delta = action[:, 3:] reset_mocap2body_xpos(sim) sim.data.mocap_pos[:] += pos_delta sim.data.mocap_quat[:] += quat_delta class YumiConstrainedEnv(gym.GoalEnv): def __init__(self, *, reward_type='dense', rotation_ctrl=False, fingers_ctrl=False, distance_threshold=0.05, randomize_initial_object_pos=True, mocap_ctrl=False, render_poses=True, object_id='fetch_box', **kwargs): super(YumiConstrainedEnv, self).__init__() self.metadata = { 'render.modes': ['human'], } self.sim_env = YumiEnv( arm='both', block_gripper=False, reward_type=reward_type, task=YumiTask.PICK_AND_PLACE_OBJECT, object_id=object_id, randomize_initial_object_pos=randomize_initial_object_pos, **kwargs, ) self.mocap_ctrl = mocap_ctrl self.reward_type = reward_type self.distance_threshold = distance_threshold self.render_poses = render_poses obs = self._get_obs() n_actions = 4 # dist between grippers (1) + grasp center pos delta (3) if rotation_ctrl: n_actions += 4 # grasp center quat delta (4) if fingers_ctrl: n_actions += 2 # # dist between fingers, (left, right) grippers (2) self.rotation_ctrl_enabled = rotation_ctrl self.fingers_ctrl_enabled = fingers_ctrl self.fingers_default_to_open = False self.action_space = spaces.Box(-1., 1., shape=(n_actions,), dtype='float32') self.observation_space = spaces.Dict(dict( desired_goal=spaces.Box(-np.inf, np.inf, shape=obs['achieved_goal'].shape, dtype='float32'), achieved_goal=spaces.Box(-np.inf, np.inf, shape=obs['achieved_goal'].shape, dtype='float32'), observation=spaces.Box(-np.inf, np.inf, shape=obs['observation'].shape, dtype='float32'), )) # Shortcuts # ---------------------------- def sync_object_init_pos(self, pos: np.ndarray, wrt_table=False, now=False): self.sim_env.sync_object_init_pos(pos, wrt_table=wrt_table, now=now) @property def viewer(self): return self.sim_env.viewer @property def sim(self): return self.sim_env.sim @property def np_random(self): return self.sim_env.np_random def _get_object_size(self): geom = self.sim.model.geom_name2id('object0_base') return self.sim.model.geom_size[geom].copy() def get_object_pose(self): return np.r_[ self.sim.data.get_body_xpos('object0'), self.sim.data.get_body_xquat('object0'), ] def get_object_pos(self): return self.sim.data.get_body_xpos('object0').copy() def get_object_rot(self): return tf.rotations.mat2euler(self.sim.data.get_site_xmat('object0:center')) def get_object_velp(self): return self.sim.data.get_site_xvelp('object0:center') * self.sim_env.dt def get_object_velr(self): return self.sim.data.get_site_xvelr('object0:center') * self.sim_env.dt def get_gripper_pose(self, arm): assert arm in ('l', 'r') return np.r_[ self.sim.data.get_site_xpos(f'gripper_{arm}_center'), tf.rotations.mat2quat(self.sim.data.get_site_xmat(f'gripper_{arm}_center')), ] def get_gripper_pos(self, arm): assert arm in ('l', 'r') return self.sim.data.get_site_xpos(f'gripper_{arm}_center').copy() def get_gripper_velp(self, arm): assert arm in ('l', 'r') return self.sim.data.get_site_xvelp(f'gripper_{arm}_center') * self.sim_env.dt def get_grasp_center_pos(self): return (self.get_gripper_pos('l') + self.get_gripper_pos('r')) / 2.0 def get_grasp_center_velp(self): return (self.get_gripper_velp('l') + self.get_gripper_velp('r')) / 2.0 def get_arm_config(self, arm): if arm == 'l': idx = self.sim_env._arm_l_joint_idx else: idx = self.sim_env._arm_r_joint_idx return self.sim.data.qpos[idx].copy() def get_task_space(self): obj_radius = self._get_object_size()[0] return np.r_[obj_radius*1.0, obj_radius*1.0, 0.03] def is_object_on_ground(self): obj_pose = self.get_object_pos() return obj_pose[2] < 0.0 def is_object_unreachable(self): obj_pose = self.get_object_pos() return not ( (-0.15 < obj_pose[0] < 0.15) and (-0.15 < obj_pose[1] < 0.15) and (-0.01 < obj_pose[2] < 0.45) ) def get_table_surface_pose(self): return self.sim_env.get_table_surface_pose() def _unpack_action(self, action): dist_between_grippers = action[0] grasp_center_pos_delta = action[1:4] offset = 4 if self.rotation_ctrl_enabled: grasp_center_quat_delta = action[offset:offset+4] offset += 4 else: grasp_center_quat_delta = np.r_[1., 0., 0., 0.] if self.fingers_ctrl_enabled: l_fingers_ctrl, r_fingers_ctrl = action[offset:offset+2] else: l_fingers_ctrl = r_fingers_ctrl = -1. if self.fingers_default_to_open else 1. return ( dist_between_grippers, grasp_center_pos_delta, grasp_center_quat_delta, l_fingers_ctrl, r_fingers_ctrl ) def _reset(self): qpos = np.r_[ 0.5331, 0.046, 0.3148, -0.0206, -0.8999, 1.0898, -2.1024, 0.0, 0.0002, -0.0875, 0.0288, -0.6761, 0.0196, 0.841, 1.0012, -0.9585, -0.0, 0.0001, 0.025, 0.025, 0.03, 1.0, -0.0, 0.0, 0.0 ] if self.sim_env.has_rotating_platform: qpos = np.r_[-0.75, qpos] qvel = np.zeros_like(self.sim_env.init_qvel) self.sim.data.ctrl[:] = 0.0 self.sim_env._set_sim_state(qpos, qvel) object_qpos = self.sim.data.get_joint_qpos('object0:joint').copy() self.sim_env._object_xy_pos_to_sync = self.np_random.uniform(*self.sim_env._obj_init_bounds) if self.sim_env.has_rotating_platform: object_qpos[2] += 0.020 object_qpos[:2] = self.sim.data.get_site_xpos('rotating_platform:far_end')[:2] elif self.sim_env.has_button: object_qpos[:2] = 0.375, -0.476 elif self.sim_env.randomize_initial_object_pos: # Randomize initial position of object. object_qpos[:2] = self.sim_env._object_xy_pos_to_sync.copy() self.sim.data.set_joint_qpos('object0:joint', object_qpos) self.sim_env._reset_button() # Env methods # ---------------------------- def seed(self, seed=None): self.sim_env.seed(seed) def step(self, action: np.ndarray): action = np.clip(action, self.action_space.low, self.action_space.high) (dist_between_grippers, grasp_center_pos_delta, grasp_center_quat_delta, l_fingers_ctrl, r_fingers_ctrl) = self._unpack_action(action) if self.mocap_ctrl: pos_k = 0.1 dist_range = [0.05, 0.20] else: pos_k = 0.2 dist_range = [0.05, 0.30] dist_between_grippers = np.interp(dist_between_grippers, [-1, 1], dist_range) curr_grasp_center_pose = self.get_grasp_center_pos() # TODO: Use pose rather than position only target_grasp_center_pose = np.r_[0., 0., 0., 1., 0., 0., 0.] target_grasp_center_pose[:3] = curr_grasp_center_pose[:3] + grasp_center_pos_delta * pos_k if self.rotation_ctrl_enabled: # target_grasp_center_pose[3:] = curr_grasp_center_pose[3:] + grasp_center_quat_delta * 0.1 raise NotImplementedError grippers_pos_targets = np.array([ tf.apply_tf(np.r_[0., dist_between_grippers/2.0, 0., 1., 0., 0., 0.], target_grasp_center_pose)[:3], tf.apply_tf(np.r_[0., -dist_between_grippers/2.0, 0., 1., 0., 0., 0.], target_grasp_center_pose)[:3] ]) vec = grippers_pos_targets[0, :2] - grippers_pos_targets[1, :2] right_yaw = np.arctan2(vec[1], vec[0]) + np.pi/2 left_yaw = np.arctan2(-vec[1], -vec[0]) + np.pi/2 grasp_radius = np.linalg.norm(vec, ord=2) / 2.0 assert np.allclose(grasp_radius, dist_between_grippers / 2.0) if self.mocap_ctrl: self._move_arms_mocap( left_target=grippers_pos_targets[0], left_yaw=left_yaw, right_target=grippers_pos_targets[1], right_yaw=right_yaw, left_grp_config=l_fingers_ctrl, right_grp_config=r_fingers_ctrl, max_steps=1, ) else: self._move_arms( left_target=grippers_pos_targets[0], left_yaw=left_yaw, right_target=grippers_pos_targets[1], right_yaw=right_yaw, left_grp_config=l_fingers_ctrl, right_grp_config=r_fingers_ctrl, max_steps=5, ) obs = self._get_obs() done = False # self.is_object_unreachable() info = {'is_success': self._is_success(obs['achieved_goal'], self.goal)} reward = self.compute_reward(obs['achieved_goal'], self.goal, info) return obs, reward, done, info def render(self, mode='human', keep_markers=False, rgb_options=None): markers = [] if keep_markers: markers = copy.deepcopy(self.viewer._markers) res = self.sim_env.render(mode=mode, rgb_options=rgb_options) for m in markers: self.viewer.add_marker(**m) return res def reset(self): self._reset() self.sim_env.goal = self._sample_goal().copy() self.sim.step() return self._get_obs() # GoalEnv methods # ---------------------------- @property def goal(self): return self.sim_env.goal[:3] def _sample_goal(self): new_goal = self.sim_env._sample_goal() return new_goal def compute_reward(self, achieved_goal: np.ndarray, goal: np.ndarray, info: dict): if self.reward_type == 'sparse': success = self._is_success(achieved_goal, goal).astype(np.float32) return success - 1. else: d = _goal_distance(achieved_goal, goal) return -d def _is_success(self, achieved_goal: np.ndarray, desired_goal: np.ndarray): d = _goal_distance(achieved_goal, desired_goal) return (d < self.distance_threshold).astype(np.float32) def _get_obs(self): if self.sim_env.is_pressing_button(): self.sim_env._did_press_button() grippers_pos = np.r_[self.get_gripper_pos('l'), self.get_gripper_pos('r')] grippers_velp = np.r_[self.get_gripper_velp('l'), self.get_gripper_velp('r')] grasp_center_pos = self.get_grasp_center_pos() grasp_center_velp = self.get_grasp_center_velp() object_pos = self.get_object_pos() object_rot = self.get_object_rot() object_velp = self.get_object_velp() object_velr = self.get_object_velr() object_rel_pos = object_pos - grasp_center_pos object_velp -= grasp_center_velp achieved_goal = object_pos.copy() obs = np.r_[ grasp_center_pos, grasp_center_velp, grippers_pos, grippers_velp, object_pos, object_rot, object_rel_pos, object_velp, object_velr ] return dict( observation=obs, achieved_goal=achieved_goal, desired_goal=self.goal.copy(), ) # Arm control # ---------------------------- def _controller(self, error, prev_error, k): if np.all(prev_error == 0.0): d_err = 0.0 else: d_err = (error - prev_error) / self.sim_env.dt prev_error[:] = error return -(1.0 * error + 0.05 * d_err) * k def _move_arms(self, *, left_target: np.ndarray, right_target: np.ndarray, left_yaw=0.0, right_yaw=0.0, pos_threshold=0.02, rot_threshold=0.1, k=2.0, max_steps=100, count_stable_steps=False, targets_relative_to=None, left_grp_config=-1.0, right_grp_config=-1.0): targets = {'l': left_target, 'r': right_target} yaws = {'l': left_yaw, 'r': right_yaw} stable_steps = 0 prev_rel_pos = np.zeros(3) u = np.zeros(self.sim_env.action_space.shape) prev_err_l = np.zeros(7) prev_err_r = np.zeros(7) max_pos_err = -np.inf for i in range(max_steps): grasp_center_pos = np.zeros(3) max_rot_err = -np.inf max_pos_err = -np.inf d_above_table = self.get_object_pos()[2] - self.sim_env._object_z_offset grp_xrot = 0.9 + d_above_table * 2.0 for arm_i, arm in enumerate(('l', 'r')): curr_pose = self.get_gripper_pose(arm) curr_q = self.get_arm_config(arm) if arm == 'l': pitch = np.pi - grp_xrot u_masked = u[:7] prev_err = prev_err_l else: pitch = np.pi - grp_xrot u_masked = u[8:15] prev_err = prev_err_r if callable(targets_relative_to): reference = targets_relative_to() target_pos = tf.apply_tf(targets[arm], reference)[:3] else: target_pos = targets[arm] target_pose = np.r_[target_pos, tf.rotations.euler2quat(np.r_[0., 0., yaws[arm]])] target_pose = tf.apply_tf(np.r_[0., 0., 0., tf.rotations.euler2quat(np.r_[pitch, 0., 0.])], target_pose) grasp_center_pos += curr_pose[:3] max_pos_err = max(max_pos_err, np.abs(curr_pose[:3] - target_pose[:3]).max()) max_rot_err = max(max_rot_err, tf.quat_angle_diff(curr_pose[3:], target_pose[3:])) target_q = self.sim_env.mocap_ik(target_pose - curr_pose, arm) u_masked[:] = self._controller(curr_q - target_q, prev_err, k) if self.viewer is not None and self.render_poses: tf.render_pose(target_pos.copy(), self.viewer, label=f"{arm}_p", unique_label=True) tf.render_pose(target_pose.copy(), self.viewer, label=f"{arm}_t", unique_label=True) tf.render_pose(curr_pose.copy(), self.viewer, label=f"{arm}", unique_label=True) grasp_center_pos /= 2.0 u[7] = left_grp_config u[15] = right_grp_config u = np.clip(u, self.sim_env.action_space.low, self.sim_env.action_space.high) self.sim_env._set_action(u) self.sim.step() self.sim_env._step_callback() if self.viewer is not None: if self.render_poses: tf.render_pose(grasp_center_pos, self.viewer, label="grasp_center", unique_id=5554) self.render(keep_markers=True) if max_pos_err < pos_threshold and max_rot_err < rot_threshold: break if count_stable_steps: obj_pos = self.get_object_pos() rel_pos = obj_pos - grasp_center_pos still = prev_rel_pos is not None and np.all(np.abs(rel_pos - prev_rel_pos) < 0.002) obj_above_table = len(self.sim_env.get_object_contact_points(other_body='table')) == 0 if still and obj_above_table: stable_steps += 1 elif i > 10: break prev_rel_pos = rel_pos if count_stable_steps: return stable_steps return max_pos_err def _move_arms_mocap(self, *, left_target: np.ndarray, right_target: np.ndarray, left_yaw=0.0, right_yaw=0.0, pos_threshold=0.02, rot_threshold=0.1, k=1.0, max_steps=1, left_grp_config=-1.0, right_grp_config=-1.0): targets = {'l': left_target, 'r': right_target} yaws = {'l': left_yaw, 'r': right_yaw} self.sim.model.eq_active[:] = 1 for i in range(max_steps): grasp_center_pos = np.zeros(3) max_rot_err = -np.inf max_pos_err = -np.inf d_above_table = self.get_object_pos()[2] - self.sim_env._object_z_offset grp_xrot = 0.9 + d_above_table * 2.0 mocap_a = np.zeros((self.sim.model.nmocap, 7)) for arm_i, arm in enumerate(('l', 'r')): curr_pose = self.get_gripper_pose(arm) pitch = np.pi - grp_xrot target_pos = targets[arm] target_pose = np.r_[target_pos, tf.rotations.euler2quat(np.r_[0., 0., yaws[arm]])] target_pose = tf.apply_tf(np.r_[0., 0., 0., tf.rotations.euler2quat(np.r_[pitch, 0., 0.])], target_pose) grasp_center_pos += curr_pose[:3] if max_steps > 1: max_pos_err = max(max_pos_err, np.abs(curr_pose[:3] - target_pose[:3]).max()) max_rot_err = max(max_rot_err, tf.quat_angle_diff(curr_pose[3:], target_pose[3:])) mocap_a[arm_i] = target_pose - curr_pose if self.viewer is not None and self.render_poses: tf.render_pose(target_pos.copy(), self.viewer, label=f"{arm}_p", unique_label=True) tf.render_pose(target_pose.copy(), self.viewer, label=f"{arm}_t", unique_label=True) tf.render_pose(curr_pose.copy(), self.viewer, label=f"{arm}", unique_label=True) grasp_center_pos /= 2.0 # set config of grippers u = np.zeros(self.sim_env.action_space.shape) u[7] = left_grp_config u[15] = right_grp_config self.sim_env._set_action(u) # set pose of grippers _mocap_set_action(self.sim, mocap_a * k) # take simulation step self.sim.step() self.sim_env._step_callback() if self.viewer is not None: if self.render_poses: tf.render_pose(grasp_center_pos, self.viewer, label="grasp_center", unique_id=5554) self.render(keep_markers=True) if max_pos_err < pos_threshold and max_rot_err < rot_threshold: break

[ 1, 529, 276, 1112, 420, 29958, 4287, 417, 29899, 29914, 29887, 962, 29966, 9507, 29958, 29887, 962, 29914, 264, 4270, 29914, 29891, 15547, 29914, 29891, 15547, 29918, 3075, 22042, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 3509, 13, 13, 5215, 12655, 408, 7442, 13, 5215, 330, 962, 13, 3166, 330, 962, 1053, 8162, 13, 3166, 330, 962, 29889, 264, 4270, 29889, 29891, 15547, 29889, 29891, 15547, 29918, 6272, 1053, 612, 15547, 21745, 29892, 612, 15547, 5398, 13, 3166, 330, 962, 29889, 13239, 1053, 29304, 408, 15886, 13, 3166, 330, 962, 29889, 264, 4270, 29889, 307, 7451, 1199, 29889, 13239, 1053, 10092, 29918, 29885, 542, 481, 29906, 2587, 29918, 29916, 1066, 13, 13, 13, 1753, 903, 28111, 29918, 19244, 29898, 28111, 29918, 29874, 29892, 7306, 29918, 29890, 1125, 13, 1678, 4974, 7306, 29918, 29874, 29889, 12181, 1275, 7306, 29918, 29890, 29889, 12181, 13, 1678, 4974, 7306, 29918, 29874, 29889, 12181, 14352, 29896, 29962, 1275, 29871, 29941, 13, 1678, 19471, 29918, 1066, 353, 7306, 29918, 29874, 29961, 16361, 584, 29941, 29962, 448, 7306, 29918, 29890, 29961, 16361, 584, 29941, 29962, 13, 1678, 270, 29918, 1066, 353, 7442, 29889, 29880, 979, 29887, 29889, 12324, 29898, 4181, 29918, 1066, 29892, 9685, 10457, 29896, 29897, 13, 1678, 736, 270, 29918, 1066, 13, 13, 13, 1753, 903, 29885, 542, 481, 29918, 842, 29918, 2467, 29898, 3601, 29892, 3158, 1125, 13, 1678, 396, 22118, 635, 515, 330, 962, 29889, 264, 4270, 29889, 307, 7451, 1199, 29889, 13239, 13, 1678, 565, 1027, 29889, 4299, 29889, 22882, 542, 481, 1405, 29871, 29900, 29901, 13, 4706, 926, 29918, 4181, 353, 3158, 7503, 29892, 584, 29941, 29962, 13, 4706, 439, 271, 29918, 4181, 353, 3158, 7503, 29892, 29871, 29941, 17531, 13, 4706, 10092, 29918, 29885, 542, 481, 29906, 2587, 29918, 29916, 1066, 29898, 3601, 29897, 13, 4706, 1027, 29889, 1272, 29889, 29885, 542, 481, 29918, 1066, 7503, 29962, 4619, 926, 29918, 4181, 13, 4706, 1027, 29889, 1272, 29889, 29885, 542, 481, 29918, 339, 271, 7503, 29962, 4619, 439, 271, 29918, 4181, 13, 13, 13, 1990, 612, 15547, 14131, 1312, 21745, 29898, 29887, 962, 29889, 8120, 284, 21745, 1125, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 334, 29892, 20751, 29918, 1853, 2433, 1145, 344, 742, 13733, 29918, 24220, 29922, 8824, 29892, 23915, 29918, 24220, 29922, 8824, 29892, 5418, 29918, 386, 12268, 29922, 29900, 29889, 29900, 29945, 29892, 13, 462, 4036, 675, 29918, 11228, 29918, 3318, 29918, 1066, 29922, 5574, 29892, 286, 542, 481, 29918, 24220, 29922, 8824, 29892, 4050, 29918, 10590, 29922, 5574, 29892, 13, 462, 1203, 29918, 333, 2433, 9155, 29918, 1884, 742, 3579, 19290, 1125, 13, 4706, 2428, 29898, 29979, 15547, 14131, 1312, 21745, 29892, 1583, 467, 1649, 2344, 1649, 580, 13, 13, 4706, 1583, 29889, 19635, 353, 426, 13, 9651, 525, 9482, 29889, 1545, 267, 2396, 6024, 26029, 7464, 13, 4706, 500, 13, 13, 4706, 1583, 29889, 3601, 29918, 6272, 353, 612, 15547, 21745, 29898, 13, 9651, 5075, 2433, 20313, 742, 2908, 29918, 29887, 374, 2496, 29922, 8824, 29892, 20751, 29918, 1853, 29922, 276, 1328, 29918, 1853, 29892, 3414, 29922, 29979, 15547, 5398, 29889, 2227, 7077, 29918, 9468, 29918, 7390, 11538, 29918, 14824, 17637, 29892, 13, 9651, 1203, 29918, 333, 29922, 3318, 29918, 333, 29892, 4036, 675, 29918, 11228, 29918, 3318, 29918, 1066, 29922, 8172, 675, 29918, 11228, 29918, 3318, 29918, 1066, 29892, 3579, 19290, 29892, 13, 4706, 1723, 13, 4706, 1583, 29889, 29885, 542, 481, 29918, 24220, 353, 286, 542, 481, 29918, 24220, 13, 4706, 1583, 29889, 276, 1328, 29918, 1853, 353, 20751, 29918, 1853, 13, 4706, 1583, 29889, 19244, 29918, 386, 12268, 353, 5418, 29918, 386, 12268, 13, 4706, 1583, 29889, 9482, 29918, 10590, 353, 4050, 29918, 10590, 13, 4706, 20881, 353, 1583, 3032, 657, 29918, 26290, 580, 13, 13, 4706, 302, 29918, 7387, 353, 29871, 29946, 396, 1320, 1546, 330, 374, 22437, 313, 29896, 29897, 718, 25274, 4818, 926, 19471, 313, 29941, 29897, 13, 4706, 565, 13733, 29918, 24220, 29901, 13, 9651, 302, 29918, 7387, 4619, 29871, 29946, 396, 25274, 4818, 439, 271, 19471, 313, 29946, 29897, 13, 4706, 565, 23915, 29918, 24220, 29901, 13, 9651, 302, 29918, 7387, 4619, 29871, 29906, 396, 396, 1320, 1546, 23915, 29892, 313, 1563, 29892, 1492, 29897, 330, 374, 22437, 313, 29906, 29897, 13, 4706, 1583, 29889, 5450, 362, 29918, 24220, 29918, 17590, 353, 13733, 29918, 24220, 13, 4706, 1583, 29889, 29888, 19936, 29918, 24220, 29918, 17590, 353, 23915, 29918, 24220, 13, 4706, 1583, 29889, 29888, 19936, 29918, 4381, 29918, 517, 29918, 3150, 353, 7700, 13, 13, 4706, 1583, 29889, 2467, 29918, 3493, 353, 8162, 29889, 3313, 6278, 29896, 1696, 29871, 29896, 1696, 8267, 7607, 29876, 29918, 7387, 29892, 511, 26688, 2433, 7411, 29941, 29906, 1495, 13, 4706, 1583, 29889, 26739, 362, 29918, 3493, 353, 8162, 29889, 21533, 29898, 8977, 29898, 13, 9651, 7429, 29918, 28111, 29922, 22854, 29889, 3313, 6278, 9302, 29889, 7192, 29892, 7442, 29889, 7192, 29892, 8267, 29922, 26290, 1839, 496, 6402, 29918, 28111, 13359, 12181, 29892, 26688, 2433, 7411, 29941, 29906, 5477, 13, 9651, 14363, 29918, 28111, 29922, 22854, 29889, 3313, 6278, 9302, 29889, 7192, 29892, 7442, 29889, 7192, 29892, 8267, 29922, 26290, 1839, 496, 6402, 29918, 28111, 13359, 12181, 29892, 26688, 2433, 7411, 29941, 29906, 5477, 13, 9651, 15500, 29922, 22854, 29889, 3313, 6278, 9302, 29889, 7192, 29892, 7442, 29889, 7192, 29892, 8267, 29922, 26290, 1839, 26739, 362, 13359, 12181, 29892, 26688, 2433, 7411, 29941, 29906, 5477, 13, 308, 876, 13, 13, 1678, 396, 13899, 7582, 29879, 13, 1678, 396, 448, 2683, 1378, 5634, 13, 13, 1678, 822, 16523, 29918, 3318, 29918, 2344, 29918, 1066, 29898, 1311, 29892, 926, 29901, 7442, 29889, 299, 2378, 29892, 281, 2273, 29918, 2371, 29922, 8824, 29892, 1286, 29922, 8824, 1125, 13, 4706, 1583, 29889, 3601, 29918, 6272, 29889, 16593, 29918, 3318, 29918, 2344, 29918, 1066, 29898, 1066, 29892, 281, 2273, 29918, 2371, 29922, 29893, 2273, 29918, 2371, 29892, 1286, 29922, 3707, 29897, 13, 13, 1678, 732, 6799, 13, 1678, 822, 6316, 556, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29918, 6272, 29889, 29894, 15580, 13, 13, 1678, 732, 6799, 13, 1678, 822, 1027, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29918, 6272, 29889, 3601, 13, 13, 1678, 732, 6799, 13, 1678, 822, 7442, 29918, 8172, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29918, 6272, 29889, 9302, 29918, 8172, 13, 13, 1678, 822, 903, 657, 29918, 3318, 29918, 2311, 29898, 1311, 1125, 13, 4706, 23216, 353, 1583, 29889, 3601, 29889, 4299, 29889, 479, 290, 29918, 978, 29906, 333, 877, 3318, 29900, 29918, 3188, 1495, 13, 4706, 736, 1583, 29889, 3601, 29889, 4299, 29889, 479, 290, 29918, 2311, 29961, 479, 290, 1822, 8552, 580, 13, 13, 1678, 822, 679, 29918, 3318, 29918, 4220, 29898, 1311, 1125, 13, 4706, 736, 7442, 29889, 29878, 29918, 29961, 13, 9651, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2587, 29918, 29916, 1066, 877, 3318, 29900, 5477, 13, 9651, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2587, 29918, 29916, 339, 271, 877, 3318, 29900, 5477, 13, 4706, 4514, 13, 13, 1678, 822, 679, 29918, 3318, 29918, 1066, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2587, 29918, 29916, 1066, 877, 3318, 29900, 2824, 8552, 580, 13, 13, 1678, 822, 679, 29918, 3318, 29918, 5450, 29898, 1311, 1125, 13, 4706, 736, 15886, 29889, 5450, 800, 29889, 2922, 29906, 29872, 8584, 29898, 1311, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 2922, 877, 3318, 29900, 29901, 5064, 8785, 13, 13, 1678, 822, 679, 29918, 3318, 29918, 955, 29886, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 955, 29886, 877, 3318, 29900, 29901, 5064, 1495, 334, 1583, 29889, 3601, 29918, 6272, 29889, 6008, 13, 13, 1678, 822, 679, 29918, 3318, 29918, 955, 29878, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 955, 29878, 877, 3318, 29900, 29901, 5064, 1495, 334, 1583, 29889, 3601, 29918, 6272, 29889, 6008, 13, 13, 1678, 822, 679, 29918, 29887, 374, 2496, 29918, 4220, 29898, 1311, 29892, 5075, 1125, 13, 4706, 4974, 5075, 297, 6702, 29880, 742, 525, 29878, 1495, 13, 4706, 736, 7442, 29889, 29878, 29918, 29961, 13, 9651, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 1066, 29898, 29888, 29915, 29887, 374, 2496, 648, 2817, 2403, 5064, 5477, 13, 9651, 15886, 29889, 5450, 800, 29889, 2922, 29906, 339, 271, 29898, 1311, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 2922, 29898, 29888, 29915, 29887, 374, 2496, 648, 2817, 2403, 5064, 1495, 511, 13, 4706, 4514, 13, 13, 1678, 822, 679, 29918, 29887, 374, 2496, 29918, 1066, 29898, 1311, 29892, 5075, 1125, 13, 4706, 4974, 5075, 297, 6702, 29880, 742, 525, 29878, 1495, 13, 4706, 736, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 1066, 29898, 29888, 29915, 29887, 374, 2496, 648, 2817, 2403, 5064, 2824, 8552, 580, 13, 13, 1678, 822, 679, 29918, 29887, 374, 2496, 29918, 955, 29886, 29898, 1311, 29892, 5075, 1125, 13, 4706, 4974, 5075, 297, 6702, 29880, 742, 525, 29878, 1495, 13, 4706, 736, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 955, 29886, 29898, 29888, 29915, 29887, 374, 2496, 648, 2817, 2403, 5064, 1495, 334, 1583, 29889, 3601, 29918, 6272, 29889, 6008, 13, 13, 1678, 822, 679, 29918, 629, 4692, 29918, 5064, 29918, 1066, 29898, 1311, 1125, 13, 4706, 736, 313, 1311, 29889, 657, 29918, 29887, 374, 2496, 29918, 1066, 877, 29880, 1495, 718, 1583, 29889, 657, 29918, 29887, 374, 2496, 29918, 1066, 877, 29878, 8785, 847, 29871, 29906, 29889, 29900, 13, 13, 1678, 822, 679, 29918, 629, 4692, 29918, 5064, 29918, 955, 29886, 29898, 1311, 1125, 13, 4706, 736, 313, 1311, 29889, 657, 29918, 29887, 374, 2496, 29918, 955, 29886, 877, 29880, 1495, 718, 1583, 29889, 657, 29918, 29887, 374, 2496, 29918, 955, 29886, 877, 29878, 8785, 847, 29871, 29906, 29889, 29900, 13, 13, 1678, 822, 679, 29918, 2817, 29918, 2917, 29898, 1311, 29892, 5075, 1125, 13, 4706, 565, 5075, 1275, 525, 29880, 2396, 13, 9651, 22645, 353, 1583, 29889, 3601, 29918, 6272, 3032, 2817, 29918, 29880, 29918, 12090, 29918, 13140, 13, 4706, 1683, 29901, 13, 9651, 22645, 353, 1583, 29889, 3601, 29918, 6272, 3032, 2817, 29918, 29878, 29918, 12090, 29918, 13140, 13, 4706, 736, 1583, 29889, 3601, 29889, 1272, 29889, 29939, 1066, 29961, 13140, 1822, 8552, 580, 13, 13, 1678, 822, 679, 29918, 7662, 29918, 3493, 29898, 1311, 1125, 13, 4706, 5446, 29918, 13471, 353, 1583, 3032, 657, 29918, 3318, 29918, 2311, 580, 29961, 29900, 29962, 13, 4706, 736, 7442, 29889, 29878, 29918, 29961, 5415, 29918, 13471, 29930, 29896, 29889, 29900, 29892, 5446, 29918, 13471, 29930, 29896, 29889, 29900, 29892, 29871, 29900, 29889, 29900, 29941, 29962, 13, 13, 1678, 822, 338, 29918, 3318, 29918, 265, 29918, 2057, 29898, 1311, 1125, 13, 4706, 5446, 29918, 4220, 353, 1583, 29889, 657, 29918, 3318, 29918, 1066, 580, 13, 4706, 736, 5446, 29918, 4220, 29961, 29906, 29962, 529, 29871, 29900, 29889, 29900, 13, 13, 1678, 822, 338, 29918, 3318, 29918, 348, 276, 496, 519, 29898, 1311, 1125, 13, 4706, 5446, 29918, 4220, 353, 1583, 29889, 657, 29918, 3318, 29918, 1066, 580, 13, 4706, 736, 451, 313, 13, 9651, 8521, 29900, 29889, 29896, 29945, 529, 5446, 29918, 4220, 29961, 29900, 29962, 529, 29871, 29900, 29889, 29896, 29945, 29897, 13, 9651, 322, 8521, 29900, 29889, 29896, 29945, 529, 5446, 29918, 4220, 29961, 29896, 29962, 529, 29871, 29900, 29889, 29896, 29945, 29897, 13, 9651, 322, 8521, 29900, 29889, 29900, 29896, 529, 5446, 29918, 4220, 29961, 29906, 29962, 529, 29871, 29900, 29889, 29946, 29945, 29897, 13, 4706, 1723, 13, 13, 1678, 822, 679, 29918, 2371, 29918, 7610, 2161, 29918, 4220, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29918, 6272, 29889, 657, 29918, 2371, 29918, 7610, 2161, 29918, 4220, 580, 13, 13, 1678, 822, 903, 348, 4058, 29918, 2467, 29898, 1311, 29892, 3158, 1125, 13, 4706, 1320, 29918, 14811, 29918, 29887, 374, 22437, 353, 3158, 29961, 29900, 29962, 13, 4706, 25274, 29918, 5064, 29918, 1066, 29918, 4181, 353, 3158, 29961, 29896, 29901, 29946, 29962, 13, 4706, 9210, 353, 29871, 29946, 13, 13, 4706, 565, 1583, 29889, 5450, 362, 29918, 24220, 29918, 17590, 29901, 13, 9651, 25274, 29918, 5064, 29918, 339, 271, 29918, 4181, 353, 3158, 29961, 10289, 29901, 10289, 29974, 29946, 29962, 13, 9651, 9210, 4619, 29871, 29946, 13, 4706, 1683, 29901, 13, 9651, 25274, 29918, 5064, 29918, 339, 271, 29918, 4181, 353, 7442, 29889, 29878, 29918, 29961, 29896, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 5586, 13, 13, 4706, 565, 1583, 29889, 29888, 19936, 29918, 24220, 29918, 17590, 29901, 13, 9651, 301, 29918, 29888, 19936, 29918, 24220, 29892, 364, 29918, 29888, 19936, 29918, 24220, 353, 3158, 29961, 10289, 29901, 10289, 29974, 29906, 29962, 13, 4706, 1683, 29901, 13, 9651, 301, 29918, 29888, 19936, 29918, 24220, 353, 364, 29918, 29888, 19936, 29918, 24220, 353, 448, 29896, 29889, 565, 1583, 29889, 29888, 19936, 29918, 4381, 29918, 517, 29918, 3150, 1683, 29871, 29896, 29889, 13, 13, 4706, 736, 313, 13, 9651, 1320, 29918, 14811, 29918, 29887, 374, 22437, 29892, 25274, 29918, 5064, 29918, 1066, 29918, 4181, 29892, 13, 9651, 25274, 29918, 5064, 29918, 339, 271, 29918, 4181, 29892, 301, 29918, 29888, 19936, 29918, 24220, 29892, 364, 29918, 29888, 19936, 29918, 24220, 13, 4706, 1723, 13, 13, 1678, 822, 903, 12071, 29898, 1311, 1125, 13, 13, 4706, 3855, 1066, 353, 7442, 29889, 29878, 29918, 29961, 13, 632, 29900, 29889, 29945, 29941, 29941, 29896, 29892, 29871, 29900, 29889, 29900, 29946, 29953, 29892, 29871, 29900, 29889, 29941, 29896, 29946, 29947, 29892, 448, 29900, 29889, 29900, 29906, 29900, 29953, 29892, 448, 29900, 29889, 29947, 29929, 29929, 29929, 29892, 29871, 29896, 29889, 29900, 29947, 29929, 29947, 29892, 448, 29906, 29889, 29896, 29900, 29906, 29946, 29892, 29871, 29900, 29889, 29900, 29892, 29871, 29900, 29889, 29900, 29900, 29900, 29906, 29892, 448, 29900, 29889, 29900, 29947, 29955, 29945, 29892, 29871, 29900, 29889, 29900, 29906, 29947, 29947, 29892, 448, 29900, 29889, 29953, 29955, 29953, 29896, 29892, 13, 632, 29900, 29889, 29900, 29896, 29929, 29953, 29892, 29871, 29900, 29889, 29947, 29946, 29896, 29892, 29871, 29896, 29889, 29900, 29900, 29896, 29906, 29892, 448, 29900, 29889, 29929, 29945, 29947, 29945, 29892, 448, 29900, 29889, 29900, 29892, 29871, 29900, 29889, 29900, 29900, 29900, 29896, 29892, 29871, 29900, 29889, 29900, 29906, 29945, 29892, 29871, 29900, 29889, 29900, 29906, 29945, 29892, 29871, 29900, 29889, 29900, 29941, 29892, 29871, 29896, 29889, 29900, 29892, 448, 29900, 29889, 29900, 29892, 29871, 29900, 29889, 29900, 29892, 29871, 29900, 29889, 29900, 13, 4706, 4514, 13, 13, 4706, 565, 1583, 29889, 3601, 29918, 6272, 29889, 5349, 29918, 5450, 1218, 29918, 12120, 29901, 13, 9651, 3855, 1066, 353, 7442, 29889, 29878, 29918, 14352, 29900, 29889, 29955, 29945, 29892, 3855, 1066, 29962, 13, 13, 4706, 3855, 955, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 1311, 29889, 3601, 29918, 6272, 29889, 2344, 29918, 29939, 955, 29897, 13, 13, 4706, 1583, 29889, 3601, 29889, 1272, 29889, 24220, 7503, 29962, 353, 29871, 29900, 29889, 29900, 13, 4706, 1583, 29889, 3601, 29918, 6272, 3032, 842, 29918, 3601, 29918, 3859, 29898, 29939, 1066, 29892, 3855, 955, 29897, 13, 13, 4706, 1203, 29918, 29939, 1066, 353, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 12090, 29918, 29939, 1066, 877, 3318, 29900, 29901, 12090, 2824, 8552, 580, 13, 4706, 1583, 29889, 3601, 29918, 6272, 3032, 3318, 29918, 3594, 29918, 1066, 29918, 517, 29918, 16593, 353, 1583, 29889, 9302, 29918, 8172, 29889, 29590, 10456, 1311, 29889, 3601, 29918, 6272, 3032, 5415, 29918, 2344, 29918, 23687, 29897, 13, 4706, 565, 1583, 29889, 3601, 29918, 6272, 29889, 5349, 29918, 5450, 1218, 29918, 12120, 29901, 13, 9651, 1203, 29918, 29939, 1066, 29961, 29906, 29962, 4619, 29871, 29900, 29889, 29900, 29906, 29900, 13, 9651, 1203, 29918, 29939, 1066, 7503, 29906, 29962, 353, 1583, 29889, 3601, 29889, 1272, 29889, 657, 29918, 2746, 29918, 29916, 1066, 877, 5450, 1218, 29918, 12120, 29901, 15641, 29918, 355, 1495, 7503, 29906, 29962, 13, 4706, 25342, 1583, 29889, 3601, 29918, 6272, 29889, 5349, 29918, 3092, 29901, 13, 9651, 1203, 29918, 29939, 1066, 7503, 29906, 29962, 353, 29871, 29900, 29889, 29941, 29955, 29945, 29892, 448, 29900, 29889, 29946, 29955, 29953, 13, 4706, 25342, 1583, 29889, 3601, 29918, 6272, 29889, 8172, 675, 29918, 11228, 29918, 3318, 29918, 1066, 29901, 13, 9651, 396, 16968, 675, 2847, 2602, 310, 1203, 29889, 13, 9651, 1203, 29918, 29939, 1066, 7503, 29906, 29962, 353, 1583, 29889, 3601, 29918, 6272, 3032, 3318, 29918, 3594, 29918, 1066, 29918, 517, 29918, 16593, 29889, 8552, 580, 13, 4706, 1583, 29889, 3601, 29889, 1272, 29889, 842, 29918, 12090, 29918, 29939, 1066, 877, 3318, 29900, 29901, 12090, 742, 1203, 29918, 29939, 1066, 29897, 13, 13, 4706, 1583, 29889, 3601, 29918, 6272, 3032, 12071, 29918, 3092, 580, 13, 13, 1678, 396, 1174, 29894, 3519, 13, 1678, 396, 448, 2683, 1378, 5634, 13, 13, 1678, 822, 16717, 29898, 1311, 29892, 16717, 29922, 8516, 1125, 13, 4706, 1583, 29889, 3601, 29918, 6272, 29889, 26776, 29898, 26776, 29897, 13, 13, 1678, 822, 4331, 29898, 1311, 29892, 3158, 29901, 7442, 29889, 299, 2378, 1125, 13, 13, 4706, 3158, 353, 7442, 29889, 24049, 29898, 2467, 29892, 1583, 29889, 2467, 29918, 3493, 29889, 677, 29892, 1583, 29889, 2467, 29918, 3493, 29889, 9812, 29897, 13, 13, 4706, 313, 5721, 29918, 14811, 29918, 29887, 374, 22437, 29892, 25274, 29918, 5064, 29918, 1066, 29918, 4181, 29892, 13, 308, 25274, 29918, 5064, 29918, 339, 271, 29918, 4181, 29892, 301, 29918, 29888, 19936, 29918, 24220, 29892, 364, 29918, 29888, 19936, 29918, 24220, 29897, 353, 1583, 3032, 348, 4058, 29918, 2467, 29898, 2467, 29897, 13, 13, 4706, 565, 1583, 29889, 29885, 542, 481, 29918, 24220, 29901, 13, 9651, 926, 29918, 29895, 353, 29871, 29900, 29889, 29896, 13, 9651, 1320, 29918, 3881, 353, 518, 29900, 29889, 29900, 29945, 29892, 29871, 29900, 29889, 29906, 29900, 29962, 13, 4706, 1683, 29901, 13, 9651, 926, 29918, 29895, 353, 29871, 29900, 29889, 29906, 13, 9651, 1320, 29918, 3881, 353, 518, 29900, 29889, 29900, 29945, 29892, 29871, 29900, 29889, 29941, 29900, 29962, 13, 13, 4706, 1320, 29918, 14811, 29918, 29887, 374, 22437, 353, 7442, 29889, 1639, 29886, 29898, 5721, 29918, 14811, 29918, 29887, 374, 22437, 29892, 21069, 29896, 29892, 29871, 29896, 1402, 1320, 29918, 3881, 29897, 13, 13, 4706, 16256, 29918, 629, 4692, 29918, 5064, 29918, 4220, 353, 1583, 29889, 657, 29918, 629, 4692, 29918, 5064, 29918, 1066, 580, 396, 14402, 29901, 4803, 18593, 3265, 1135, 2602, 871, 13, 4706, 3646, 29918, 629, 4692, 29918, 5064, 29918, 4220, 353, 7442, 29889, 29878, 29918, 29961, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 29871, 29896, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 5586, 13, 13, 4706, 3646, 29918, 629, 4692, 29918, 5064, 29918, 4220, 7503, 29941, 29962, 353, 16256, 29918, 629, 4692, 29918, 5064, 29918, 4220, 7503, 29941, 29962, 718, 25274, 29918, 5064, 29918, 1066, 29918, 4181, 334, 926, 29918, 29895, 13, 4706, 565, 1583, 29889, 5450, 362, 29918, 24220, 29918, 17590, 29901, 13, 9651, 396, 3646, 29918, 629, 4692, 29918, 5064, 29918, 4220, 29961, 29941, 17531, 353, 16256, 29918, 629, 4692, 29918, 5064, 29918, 4220, 29961, 29941, 17531, 718, 25274, 29918, 5064, 29918, 339, 271, 29918, 4181, 334, 29871, 29900, 29889, 29896, 13, 9651, 12020, 2216, 1888, 2037, 287, 2392, 13, 13, 4706, 330, 374, 22437, 29918, 1066, 29918, 5182, 29879, 353, 7442, 29889, 2378, 4197, 13, 9651, 15886, 29889, 7302, 29918, 13264, 29898, 9302, 29889, 29878, 29918, 29961, 29900, 1696, 1320, 29918, 14811, 29918, 29887, 374, 22437, 29914, 29906, 29889, 29900, 29892, 29871, 29900, 1696, 29871, 29896, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 29889, 1402, 3646, 29918, 629, 4692, 29918, 5064, 29918, 4220, 29897, 7503, 29941, 1402, 13, 9651, 15886, 29889, 7302, 29918, 13264, 29898, 9302, 29889, 29878, 29918, 29961, 29900, 1696, 448, 5721, 29918, 14811, 29918, 29887, 374, 22437, 29914, 29906, 29889, 29900, 29892, 29871, 29900, 1696, 29871, 29896, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 29889, 1402, 3646, 29918, 629, 4692, 29918, 5064, 29918, 4220, 29897, 7503, 29941, 29962, 13, 308, 2314, 13, 13, 4706, 9649, 353, 330, 374, 22437, 29918, 1066, 29918, 5182, 29879, 29961, 29900, 29892, 584, 29906, 29962, 448, 330, 374, 22437, 29918, 1066, 29918, 5182, 29879, 29961, 29896, 29892, 584, 29906, 29962, 13, 4706, 1492, 29918, 29891, 1450, 353, 7442, 29889, 27014, 273, 29906, 29898, 2003, 29961, 29896, 1402, 9649, 29961, 29900, 2314, 718, 7442, 29889, 1631, 29914, 29906, 13, 4706, 2175, 29918, 29891, 1450, 353, 7442, 29889, 27014, 273, 29906, 6278, 2003, 29961, 29896, 1402, 448, 2003, 29961, 29900, 2314, 718, 7442, 29889, 1631, 29914, 29906, 13, 13, 4706, 25274, 29918, 13471, 353, 7442, 29889, 29880, 979, 29887, 29889, 12324, 29898, 2003, 29892, 4356, 29922, 29906, 29897, 847, 29871, 29906, 29889, 29900, 13, 4706, 4974, 7442, 29889, 497, 5358, 29898, 629, 4692, 29918, 13471, 29892, 1320, 29918, 14811, 29918, 29887, 374, 22437, 847, 29871, 29906, 29889, 29900, 29897, 13, 13, 4706, 565, 1583, 29889, 29885, 542, 481, 29918, 24220, 29901, 13, 9651, 1583, 3032, 11631, 29918, 279, 1516, 29918, 29885, 542, 481, 29898, 13, 18884, 2175, 29918, 5182, 29922, 29887, 374, 22437, 29918, 1066, 29918, 5182, 29879, 29961, 29900, 1402, 2175, 29918, 29891, 1450, 29922, 1563, 29918, 29891, 1450, 29892, 13, 18884, 1492, 29918, 5182, 29922, 29887, 374, 22437, 29918, 1066, 29918, 5182, 29879, 29961, 29896, 1402, 1492, 29918, 29891, 1450, 29922, 1266, 29918, 29891, 1450, 29892, 13, 18884, 2175, 29918, 629, 29886, 29918, 2917, 29922, 29880, 29918, 29888, 19936, 29918, 24220, 29892, 1492, 29918, 629, 29886, 29918, 2917, 29922, 29878, 29918, 29888, 19936, 29918, 24220, 29892, 4236, 29918, 24530, 29922, 29896, 29892, 13, 9651, 1723, 13, 4706, 1683, 29901, 13, 9651, 1583, 3032, 11631, 29918, 279, 1516, 29898, 13, 18884, 2175, 29918, 5182, 29922, 29887, 374, 22437, 29918, 1066, 29918, 5182, 29879, 29961, 29900, 1402, 2175, 29918, 29891, 1450, 29922, 1563, 29918, 29891, 1450, 29892, 13, 18884, 1492, 29918, 5182, 29922, 29887, 374, 22437, 29918, 1066, 29918, 5182, 29879, 29961, 29896, 1402, 1492, 29918, 29891, 1450, 29922, 1266, 29918, 29891, 1450, 29892, 13, 18884, 2175, 29918, 629, 29886, 29918, 2917, 29922, 29880, 29918, 29888, 19936, 29918, 24220, 29892, 1492, 29918, 629, 29886, 29918, 2917, 29922, 29878, 29918, 29888, 19936, 29918, 24220, 29892, 4236, 29918, 24530, 29922, 29945, 29892, 13, 9651, 1723, 13, 13, 4706, 20881, 353, 1583, 3032, 657, 29918, 26290, 580, 13, 4706, 2309, 353, 7700, 396, 1583, 29889, 275, 29918, 3318, 29918, 348, 276, 496, 519, 580, 13, 4706, 5235, 353, 11117, 275, 29918, 8698, 2396, 1583, 3032, 275, 29918, 8698, 29898, 26290, 1839, 496, 6402, 29918, 28111, 7464, 1583, 29889, 28111, 2915, 13, 4706, 20751, 353, 1583, 29889, 26017, 29918, 276, 1328, 29898, 26290, 1839, 496, 6402, 29918, 28111, 7464, 1583, 29889, 28111, 29892, 5235, 29897, 13, 4706, 736, 20881, 29892, 20751, 29892, 2309, 29892, 5235, 13, 13, 1678, 822, 4050, 29898, 1311, 29892, 4464, 2433, 26029, 742, 3013, 29918, 3502, 414, 29922, 8824, 29892, 15552, 29890, 29918, 6768, 29922, 8516, 1125, 13, 4706, 29320, 353, 5159, 13, 4706, 565, 3013, 29918, 3502, 414, 29901, 13, 9651, 29320, 353, 3509, 29889, 24535, 8552, 29898, 1311, 29889, 29894, 15580, 3032, 3502, 414, 29897, 13, 4706, 620, 353, 1583, 29889, 3601, 29918, 6272, 29889, 9482, 29898, 8513, 29922, 8513, 29892, 15552, 29890, 29918, 6768, 29922, 23973, 29918, 6768, 29897, 13, 4706, 363, 286, 297, 29320, 29901, 13, 9651, 1583, 29889, 29894, 15580, 29889, 1202, 29918, 22976, 29898, 1068, 29885, 29897, 13, 4706, 736, 620, 13, 13, 1678, 822, 10092, 29898, 1311, 1125, 13, 4706, 1583, 3032, 12071, 580, 13, 4706, 1583, 29889, 3601, 29918, 6272, 29889, 28111, 353, 1583, 3032, 11249, 29918, 28111, 2141, 8552, 580, 13, 4706, 1583, 29889, 3601, 29889, 10568, 580, 13, 4706, 736, 1583, 3032, 657, 29918, 26290, 580, 13, 13, 1678, 396, 2921, 284, 21745, 3519, 13, 1678, 396, 448, 2683, 1378, 5634, 13, 13, 1678, 732, 6799, 13, 1678, 822, 7306, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3601, 29918, 6272, 29889, 28111, 7503, 29941, 29962, 13, 13, 1678, 822, 903, 11249, 29918, 28111, 29898, 1311, 1125, 13, 4706, 716, 29918, 28111, 353, 1583, 29889, 3601, 29918, 6272, 3032, 11249, 29918, 28111, 580, 13, 4706, 736, 716, 29918, 28111, 13, 13, 1678, 822, 10272, 29918, 276, 1328, 29898, 1311, 29892, 14363, 29918, 28111, 29901, 7442, 29889, 299, 2378, 29892, 7306, 29901, 7442, 29889, 299, 2378, 29892, 5235, 29901, 9657, 1125, 13, 4706, 565, 1583, 29889, 276, 1328, 29918, 1853, 1275, 525, 29879, 5510, 2396, 13, 9651, 2551, 353, 1583, 3032, 275, 29918, 8698, 29898, 496, 6402, 29918, 28111, 29892, 7306, 467, 579, 668, 29898, 9302, 29889, 7411, 29941, 29906, 29897, 13, 9651, 736, 2551, 448, 29871, 29896, 29889, 13, 4706, 1683, 29901, 13, 9651, 270, 353, 903, 28111, 29918, 19244, 29898, 496, 6402, 29918, 28111, 29892, 7306, 29897, 13, 9651, 736, 448, 29881, 13, 13, 1678, 822, 903, 275, 29918, 8698, 29898, 1311, 29892, 14363, 29918, 28111, 29901, 7442, 29889, 299, 2378, 29892, 7429, 29918, 28111, 29901, 7442, 29889, 299, 2378, 1125, 13, 4706, 270, 353, 903, 28111, 29918, 19244, 29898, 496, 6402, 29918, 28111, 29892, 7429, 29918, 28111, 29897, 13, 4706, 736, 313, 29881, 529, 1583, 29889, 19244, 29918, 386, 12268, 467, 579, 668, 29898, 9302, 29889, 7411, 29941, 29906, 29897, 13, 13, 1678, 822, 903, 657, 29918, 26290, 29898, 1311, 1125, 13, 13, 4706, 565, 1583, 29889, 3601, 29918, 6272, 29889, 275, 29918, 2139, 292, 29918, 3092, 7295, 13, 9651, 1583, 29889, 3601, 29918, 6272, 3032, 18361, 29918, 2139, 29918, 3092, 580, 13, 13, 4706, 330, 374, 22437, 29918, 1066, 353, 7442, 29889, 29878, 29918, 29961, 1311, 29889, 657, 29918, 29887, 374, 2496, 29918, 1066, 877, 29880, 5477, 1583, 29889, 657, 29918, 29887, 374, 2496, 29918, 1066, 877, 29878, 1495, 29962, 13, 4706, 330, 374, 22437, 29918, 955, 29886, 353, 7442, 29889, 29878, 29918, 29961, 1311, 29889, 657, 29918, 29887, 374, 2496, 29918, 955, 29886, 877, 29880, 5477, 1583, 29889, 657, 29918, 29887, 374, 2496, 29918, 955, 29886, 877, 29878, 1495, 29962, 13, 13, 4706, 25274, 29918, 5064, 29918, 1066, 353, 1583, 29889, 657, 29918, 629, 4692, 29918, 5064, 29918, 1066, 580, 13, 4706, 25274, 29918, 5064, 29918, 955, 29886, 353, 1583, 29889, 657, 29918, 629, 4692, 29918, 5064, 29918, 955, 29886, 580, 13, 4706, 1203, 29918, 1066, 353, 1583, 29889, 657, 29918, 3318, 29918, 1066, 580, 13, 4706, 1203, 29918, 5450, 353, 1583, 29889, 657, 29918, 3318, 29918, 5450, 580, 13, 4706, 1203, 29918, 955, 29886, 353, 1583, 29889, 657, 29918, 3318, 29918, 955, 29886, 580, 13, 4706, 1203, 29918, 955, 29878, 353, 1583, 29889, 657, 29918, 3318, 29918, 955, 29878, 580, 13, 13, 4706, 1203, 29918, 2674, 29918, 1066, 353, 1203, 29918, 1066, 448, 25274, 29918, 5064, 29918, 1066, 13, 4706, 1203, 29918, 955, 29886, 22361, 25274, 29918, 5064, 29918, 955, 29886, 13, 13, 4706, 14363, 29918, 28111, 353, 1203, 29918, 1066, 29889, 8552, 580, 13, 13, 4706, 20881, 353, 7442, 29889, 29878, 29918, 29961, 13, 9651, 25274, 29918, 5064, 29918, 1066, 29892, 25274, 29918, 5064, 29918, 955, 29886, 29892, 330, 374, 22437, 29918, 1066, 29892, 330, 374, 22437, 29918, 955, 29886, 29892, 13, 9651, 1203, 29918, 1066, 29892, 1203, 29918, 5450, 29892, 1203, 29918, 2674, 29918, 1066, 29892, 1203, 29918, 955, 29886, 29892, 1203, 29918, 955, 29878, 13, 4706, 4514, 13, 13, 4706, 736, 9657, 29898, 13, 9651, 15500, 29922, 26290, 29892, 13, 9651, 14363, 29918, 28111, 29922, 496, 6402, 29918, 28111, 29892, 13, 9651, 7429, 29918, 28111, 29922, 1311, 29889, 28111, 29889, 8552, 3285, 13, 4706, 1723, 13, 13, 1678, 396, 8481, 2761, 13, 1678, 396, 448, 2683, 1378, 5634, 13, 13, 1678, 822, 903, 8299, 29898, 1311, 29892, 1059, 29892, 12379, 29918, 2704, 29892, 413, 1125, 13, 4706, 565, 7442, 29889, 497, 29898, 16304, 29918, 2704, 1275, 29871, 29900, 29889, 29900, 1125, 13, 9651, 270, 29918, 3127, 353, 29871, 29900, 29889, 29900, 13, 4706, 1683, 29901, 13, 9651, 270, 29918, 3127, 353, 313, 2704, 448, 12379, 29918, 2704, 29897, 847, 1583, 29889, 3601, 29918, 6272, 29889, 6008, 13, 4706, 12379, 29918, 2704, 7503, 29962, 353, 1059, 13, 4706, 736, 19691, 29896, 29889, 29900, 334, 1059, 718, 29871, 29900, 29889, 29900, 29945, 334, 270, 29918, 3127, 29897, 334, 413, 13, 13, 1678, 822, 903, 11631, 29918, 279, 1516, 29898, 1311, 29892, 334, 29892, 2175, 29918, 5182, 29901, 7442, 29889, 299, 2378, 29892, 1492, 29918, 5182, 29901, 7442, 29889, 299, 2378, 29892, 2175, 29918, 29891, 1450, 29922, 29900, 29889, 29900, 29892, 1492, 29918, 29891, 1450, 29922, 29900, 29889, 29900, 29892, 13, 462, 259, 926, 29918, 386, 12268, 29922, 29900, 29889, 29900, 29906, 29892, 5731, 29918, 386, 12268, 29922, 29900, 29889, 29896, 29892, 413, 29922, 29906, 29889, 29900, 29892, 4236, 29918, 24530, 29922, 29896, 29900, 29900, 29892, 2302, 29918, 13844, 29918, 24530, 29922, 8824, 29892, 13, 462, 259, 22525, 29918, 22925, 29918, 517, 29922, 8516, 29892, 2175, 29918, 629, 29886, 29918, 2917, 10457, 29896, 29889, 29900, 29892, 1492, 29918, 629, 29886, 29918, 2917, 10457, 29896, 29889, 29900, 1125, 13, 13, 4706, 22525, 353, 11117, 29880, 2396, 2175, 29918, 5182, 29892, 525, 29878, 2396, 1492, 29918, 5182, 29913, 13, 4706, 343, 10467, 353, 11117, 29880, 2396, 2175, 29918, 29891, 1450, 29892, 525, 29878, 2396, 1492, 29918, 29891, 1450, 29913, 13, 4706, 13714, 29918, 24530, 353, 29871, 29900, 13, 4706, 12379, 29918, 2674, 29918, 1066, 353, 7442, 29889, 3298, 359, 29898, 29941, 29897, 13, 4706, 318, 353, 7442, 29889, 3298, 359, 29898, 1311, 29889, 3601, 29918, 6272, 29889, 2467, 29918, 3493, 29889, 12181, 29897, 13, 4706, 12379, 29918, 3127, 29918, 29880, 353, 7442, 29889, 3298, 359, 29898, 29955, 29897, 13, 4706, 12379, 29918, 3127, 29918, 29878, 353, 7442, 29889, 3298, 359, 29898, 29955, 29897, 13, 4706, 4236, 29918, 1066, 29918, 3127, 353, 448, 9302, 29889, 7192, 13, 13, 4706, 363, 474, 297, 3464, 29898, 3317, 29918, 24530, 1125, 13, 13, 9651, 25274, 29918, 5064, 29918, 1066, 353, 7442, 29889, 3298, 359, 29898, 29941, 29897, 13, 9651, 4236, 29918, 5450, 29918, 3127, 353, 448, 9302, 29889, 7192, 13, 9651, 4236, 29918, 1066, 29918, 3127, 353, 448, 9302, 29889, 7192, 13, 13, 9651, 270, 29918, 27215, 29918, 2371, 353, 1583, 29889, 657, 29918, 3318, 29918, 1066, 580, 29961, 29906, 29962, 448, 1583, 29889, 3601, 29918, 6272, 3032, 3318, 29918, 29920, 29918, 10289, 13, 9651, 867, 29886, 29918, 29916, 5450, 353, 29871, 29900, 29889, 29929, 718, 270, 29918, 27215, 29918, 2371, 334, 29871, 29906, 29889, 29900, 13, 13, 9651, 363, 5075, 29918, 29875, 29892, 5075, 297, 26985, 29898, 877, 29880, 742, 525, 29878, 8785, 29901, 13, 13, 18884, 16256, 29918, 4220, 353, 1583, 29889, 657, 29918, 29887, 374, 2496, 29918, 4220, 29898, 2817, 29897, 13, 18884, 16256, 29918, 29939, 353, 1583, 29889, 657, 29918, 2817, 29918, 2917, 29898, 2817, 29897, 13, 13, 18884, 565, 5075, 1275, 525, 29880, 2396, 13, 462, 1678, 15905, 353, 7442, 29889, 1631, 448, 867, 29886, 29918, 29916, 5450, 13, 462, 1678, 318, 29918, 13168, 287, 353, 318, 7503, 29955, 29962, 13, 462, 1678, 12379, 29918, 3127, 353, 12379, 29918, 3127, 29918, 29880, 13, 18884, 1683, 29901, 13, 462, 1678, 15905, 353, 7442, 29889, 1631, 448, 867, 29886, 29918, 29916, 5450, 13, 462, 1678, 318, 29918, 13168, 287, 353, 318, 29961, 29947, 29901, 29896, 29945, 29962, 13, 462, 1678, 12379, 29918, 3127, 353, 12379, 29918, 3127, 29918, 29878, 13, 13, 18884, 565, 1246, 519, 29898, 5182, 29879, 29918, 22925, 29918, 517, 1125, 13, 462, 1678, 3407, 353, 22525, 29918, 22925, 29918, 517, 580, 13, 462, 1678, 3646, 29918, 1066, 353, 15886, 29889, 7302, 29918, 13264, 29898, 5182, 29879, 29961, 2817, 1402, 3407, 29897, 7503, 29941, 29962, 13, 18884, 1683, 29901, 13, 462, 1678, 3646, 29918, 1066, 353, 22525, 29961, 2817, 29962, 13, 13, 18884, 3646, 29918, 4220, 353, 7442, 29889, 29878, 29918, 29961, 5182, 29918, 1066, 29892, 15886, 29889, 5450, 800, 29889, 29872, 8584, 29906, 339, 271, 29898, 9302, 29889, 29878, 29918, 29961, 29900, 1696, 29871, 29900, 1696, 343, 10467, 29961, 2817, 24960, 29962, 13, 18884, 3646, 29918, 4220, 353, 15886, 29889, 7302, 29918, 13264, 29898, 9302, 29889, 29878, 29918, 29961, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 15886, 29889, 5450, 800, 29889, 29872, 8584, 29906, 339, 271, 29898, 9302, 29889, 29878, 29918, 29961, 29886, 2335, 29892, 29871, 29900, 1696, 29871, 29900, 29889, 2314, 1402, 3646, 29918, 4220, 29897, 13, 13, 18884, 25274, 29918, 5064, 29918, 1066, 4619, 16256, 29918, 4220, 7503, 29941, 29962, 13, 18884, 4236, 29918, 1066, 29918, 3127, 353, 4236, 29898, 3317, 29918, 1066, 29918, 3127, 29892, 7442, 29889, 6897, 29898, 21962, 29918, 4220, 7503, 29941, 29962, 448, 3646, 29918, 4220, 7503, 29941, 14664, 3317, 3101, 13, 18884, 4236, 29918, 5450, 29918, 3127, 353, 4236, 29898, 3317, 29918, 5450, 29918, 3127, 29892, 15886, 29889, 339, 271, 29918, 2521, 29918, 12765, 29898, 21962, 29918, 4220, 29961, 29941, 29901, 1402, 3646, 29918, 4220, 29961, 29941, 29901, 12622, 13, 13, 18884, 3646, 29918, 29939, 353, 1583, 29889, 3601, 29918, 6272, 29889, 29885, 542, 481, 29918, 638, 29898, 5182, 29918, 4220, 448, 16256, 29918, 4220, 29892, 5075, 29897, 13, 18884, 318, 29918, 13168, 287, 7503, 29962, 353, 1583, 3032, 8299, 29898, 21962, 29918, 29939, 448, 3646, 29918, 29939, 29892, 12379, 29918, 3127, 29892, 413, 29897, 13, 13, 18884, 565, 1583, 29889, 29894, 15580, 338, 451, 6213, 322, 1583, 29889, 9482, 29918, 10590, 29901, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 5182, 29918, 1066, 29889, 8552, 3285, 1583, 29889, 29894, 15580, 29892, 3858, 29922, 29888, 29908, 29912, 2817, 2403, 29886, 613, 5412, 29918, 1643, 29922, 5574, 29897, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 5182, 29918, 4220, 29889, 8552, 3285, 1583, 29889, 29894, 15580, 29892, 3858, 29922, 29888, 29908, 29912, 2817, 2403, 29873, 613, 5412, 29918, 1643, 29922, 5574, 29897, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 21962, 29918, 4220, 29889, 8552, 3285, 1583, 29889, 29894, 15580, 29892, 3858, 29922, 29888, 29908, 29912, 2817, 17671, 5412, 29918, 1643, 29922, 5574, 29897, 13, 13, 9651, 25274, 29918, 5064, 29918, 1066, 847, 29922, 29871, 29906, 29889, 29900, 13, 13, 9651, 318, 29961, 29955, 29962, 353, 2175, 29918, 629, 29886, 29918, 2917, 13, 9651, 318, 29961, 29896, 29945, 29962, 353, 1492, 29918, 629, 29886, 29918, 2917, 13, 9651, 318, 353, 7442, 29889, 24049, 29898, 29884, 29892, 1583, 29889, 3601, 29918, 6272, 29889, 2467, 29918, 3493, 29889, 677, 29892, 1583, 29889, 3601, 29918, 6272, 29889, 2467, 29918, 3493, 29889, 9812, 29897, 13, 13, 9651, 1583, 29889, 3601, 29918, 6272, 3032, 842, 29918, 2467, 29898, 29884, 29897, 13, 9651, 1583, 29889, 3601, 29889, 10568, 580, 13, 9651, 1583, 29889, 3601, 29918, 6272, 3032, 10568, 29918, 14035, 580, 13, 13, 9651, 565, 1583, 29889, 29894, 15580, 338, 451, 6213, 29901, 13, 18884, 565, 1583, 29889, 9482, 29918, 10590, 29901, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 629, 4692, 29918, 5064, 29918, 1066, 29892, 1583, 29889, 29894, 15580, 29892, 3858, 543, 629, 4692, 29918, 5064, 613, 5412, 29918, 333, 29922, 29945, 29945, 29945, 29946, 29897, 13, 18884, 1583, 29889, 9482, 29898, 17462, 29918, 3502, 414, 29922, 5574, 29897, 13, 13, 9651, 565, 4236, 29918, 1066, 29918, 3127, 529, 926, 29918, 386, 12268, 322, 4236, 29918, 5450, 29918, 3127, 529, 5731, 29918, 386, 12268, 29901, 13, 18884, 2867, 13, 13, 9651, 565, 2302, 29918, 13844, 29918, 24530, 29901, 13, 18884, 5446, 29918, 1066, 353, 1583, 29889, 657, 29918, 3318, 29918, 1066, 580, 13, 18884, 1104, 29918, 1066, 353, 5446, 29918, 1066, 448, 25274, 29918, 5064, 29918, 1066, 13, 18884, 1603, 353, 12379, 29918, 2674, 29918, 1066, 338, 451, 6213, 322, 7442, 29889, 497, 29898, 9302, 29889, 6897, 29898, 2674, 29918, 1066, 448, 12379, 29918, 2674, 29918, 1066, 29897, 529, 29871, 29900, 29889, 29900, 29900, 29906, 29897, 13, 18884, 5446, 29918, 27215, 29918, 2371, 353, 7431, 29898, 1311, 29889, 3601, 29918, 6272, 29889, 657, 29918, 3318, 29918, 12346, 29918, 9748, 29898, 1228, 29918, 2587, 2433, 2371, 8785, 1275, 29871, 29900, 13, 18884, 565, 1603, 322, 5446, 29918, 27215, 29918, 2371, 29901, 13, 462, 1678, 13714, 29918, 24530, 4619, 29871, 29896, 13, 18884, 25342, 474, 1405, 29871, 29896, 29900, 29901, 13, 462, 1678, 2867, 13, 18884, 12379, 29918, 2674, 29918, 1066, 353, 1104, 29918, 1066, 13, 13, 4706, 565, 2302, 29918, 13844, 29918, 24530, 29901, 13, 9651, 736, 13714, 29918, 24530, 13, 13, 4706, 736, 4236, 29918, 1066, 29918, 3127, 13, 13, 1678, 822, 903, 11631, 29918, 279, 1516, 29918, 29885, 542, 481, 29898, 1311, 29892, 334, 29892, 2175, 29918, 5182, 29901, 7442, 29889, 299, 2378, 29892, 1492, 29918, 5182, 29901, 7442, 29889, 299, 2378, 29892, 2175, 29918, 29891, 1450, 29922, 29900, 29889, 29900, 29892, 1492, 29918, 29891, 1450, 29922, 29900, 29889, 29900, 29892, 13, 462, 308, 926, 29918, 386, 12268, 29922, 29900, 29889, 29900, 29906, 29892, 5731, 29918, 386, 12268, 29922, 29900, 29889, 29896, 29892, 413, 29922, 29896, 29889, 29900, 29892, 4236, 29918, 24530, 29922, 29896, 29892, 13, 462, 308, 2175, 29918, 629, 29886, 29918, 2917, 10457, 29896, 29889, 29900, 29892, 1492, 29918, 629, 29886, 29918, 2917, 10457, 29896, 29889, 29900, 1125, 13, 13, 4706, 22525, 353, 11117, 29880, 2396, 2175, 29918, 5182, 29892, 525, 29878, 2396, 1492, 29918, 5182, 29913, 13, 4706, 343, 10467, 353, 11117, 29880, 2396, 2175, 29918, 29891, 1450, 29892, 525, 29878, 2396, 1492, 29918, 29891, 1450, 29913, 13, 4706, 1583, 29889, 3601, 29889, 4299, 29889, 1837, 29918, 4925, 7503, 29962, 353, 29871, 29896, 13, 13, 4706, 363, 474, 297, 3464, 29898, 3317, 29918, 24530, 1125, 13, 13, 9651, 25274, 29918, 5064, 29918, 1066, 353, 7442, 29889, 3298, 359, 29898, 29941, 29897, 13, 9651, 4236, 29918, 5450, 29918, 3127, 353, 448, 9302, 29889, 7192, 13, 9651, 4236, 29918, 1066, 29918, 3127, 353, 448, 9302, 29889, 7192, 13, 13, 9651, 270, 29918, 27215, 29918, 2371, 353, 1583, 29889, 657, 29918, 3318, 29918, 1066, 580, 29961, 29906, 29962, 448, 1583, 29889, 3601, 29918, 6272, 3032, 3318, 29918, 29920, 29918, 10289, 13, 9651, 867, 29886, 29918, 29916, 5450, 353, 29871, 29900, 29889, 29929, 718, 270, 29918, 27215, 29918, 2371, 334, 29871, 29906, 29889, 29900, 13, 13, 9651, 286, 542, 481, 29918, 29874, 353, 7442, 29889, 3298, 359, 3552, 1311, 29889, 3601, 29889, 4299, 29889, 22882, 542, 481, 29892, 29871, 29955, 876, 13, 13, 9651, 363, 5075, 29918, 29875, 29892, 5075, 297, 26985, 29898, 877, 29880, 742, 525, 29878, 8785, 29901, 13, 13, 18884, 16256, 29918, 4220, 353, 1583, 29889, 657, 29918, 29887, 374, 2496, 29918, 4220, 29898, 2817, 29897, 13, 18884, 15905, 353, 7442, 29889, 1631, 448, 867, 29886, 29918, 29916, 5450, 13, 13, 18884, 3646, 29918, 1066, 353, 22525, 29961, 2817, 29962, 13, 18884, 3646, 29918, 4220, 353, 7442, 29889, 29878, 29918, 29961, 5182, 29918, 1066, 29892, 15886, 29889, 5450, 800, 29889, 29872, 8584, 29906, 339, 271, 29898, 9302, 29889, 29878, 29918, 29961, 29900, 1696, 29871, 29900, 1696, 343, 10467, 29961, 2817, 24960, 29962, 13, 18884, 3646, 29918, 4220, 353, 15886, 29889, 7302, 29918, 13264, 29898, 9302, 29889, 29878, 29918, 29961, 29900, 1696, 29871, 29900, 1696, 29871, 29900, 1696, 15886, 29889, 5450, 800, 29889, 29872, 8584, 29906, 339, 271, 29898, 9302, 29889, 29878, 29918, 29961, 29886, 2335, 29892, 29871, 29900, 1696, 29871, 29900, 29889, 2314, 1402, 3646, 29918, 4220, 29897, 13, 13, 18884, 25274, 29918, 5064, 29918, 1066, 4619, 16256, 29918, 4220, 7503, 29941, 29962, 13, 18884, 565, 4236, 29918, 24530, 1405, 29871, 29896, 29901, 13, 462, 1678, 4236, 29918, 1066, 29918, 3127, 353, 4236, 29898, 3317, 29918, 1066, 29918, 3127, 29892, 7442, 29889, 6897, 29898, 21962, 29918, 4220, 7503, 29941, 29962, 448, 3646, 29918, 4220, 7503, 29941, 14664, 3317, 3101, 13, 462, 1678, 4236, 29918, 5450, 29918, 3127, 353, 4236, 29898, 3317, 29918, 5450, 29918, 3127, 29892, 15886, 29889, 339, 271, 29918, 2521, 29918, 12765, 29898, 21962, 29918, 4220, 29961, 29941, 29901, 1402, 3646, 29918, 4220, 29961, 29941, 29901, 12622, 13, 13, 18884, 286, 542, 481, 29918, 29874, 29961, 2817, 29918, 29875, 29962, 353, 3646, 29918, 4220, 448, 16256, 29918, 4220, 13, 13, 18884, 565, 1583, 29889, 29894, 15580, 338, 451, 6213, 322, 1583, 29889, 9482, 29918, 10590, 29901, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 5182, 29918, 1066, 29889, 8552, 3285, 1583, 29889, 29894, 15580, 29892, 3858, 29922, 29888, 29908, 29912, 2817, 2403, 29886, 613, 5412, 29918, 1643, 29922, 5574, 29897, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 5182, 29918, 4220, 29889, 8552, 3285, 1583, 29889, 29894, 15580, 29892, 3858, 29922, 29888, 29908, 29912, 2817, 2403, 29873, 613, 5412, 29918, 1643, 29922, 5574, 29897, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 21962, 29918, 4220, 29889, 8552, 3285, 1583, 29889, 29894, 15580, 29892, 3858, 29922, 29888, 29908, 29912, 2817, 17671, 5412, 29918, 1643, 29922, 5574, 29897, 13, 13, 9651, 25274, 29918, 5064, 29918, 1066, 847, 29922, 29871, 29906, 29889, 29900, 13, 13, 9651, 396, 731, 2295, 310, 330, 374, 22437, 13, 9651, 318, 353, 7442, 29889, 3298, 359, 29898, 1311, 29889, 3601, 29918, 6272, 29889, 2467, 29918, 3493, 29889, 12181, 29897, 13, 9651, 318, 29961, 29955, 29962, 353, 2175, 29918, 629, 29886, 29918, 2917, 13, 9651, 318, 29961, 29896, 29945, 29962, 353, 1492, 29918, 629, 29886, 29918, 2917, 13, 9651, 1583, 29889, 3601, 29918, 6272, 3032, 842, 29918, 2467, 29898, 29884, 29897, 13, 13, 9651, 396, 731, 18593, 310, 330, 374, 22437, 13, 9651, 903, 29885, 542, 481, 29918, 842, 29918, 2467, 29898, 1311, 29889, 3601, 29892, 286, 542, 481, 29918, 29874, 334, 413, 29897, 13, 13, 9651, 396, 2125, 17402, 4331, 13, 9651, 1583, 29889, 3601, 29889, 10568, 580, 13, 9651, 1583, 29889, 3601, 29918, 6272, 3032, 10568, 29918, 14035, 580, 13, 13, 9651, 565, 1583, 29889, 29894, 15580, 338, 451, 6213, 29901, 13, 18884, 565, 1583, 29889, 9482, 29918, 10590, 29901, 13, 462, 1678, 15886, 29889, 9482, 29918, 4220, 29898, 629, 4692, 29918, 5064, 29918, 1066, 29892, 1583, 29889, 29894, 15580, 29892, 3858, 543, 629, 4692, 29918, 5064, 613, 5412, 29918, 333, 29922, 29945, 29945, 29945, 29946, 29897, 13, 18884, 1583, 29889, 9482, 29898, 17462, 29918, 3502, 414, 29922, 5574, 29897, 13, 13, 9651, 565, 4236, 29918, 1066, 29918, 3127, 529, 926, 29918, 386, 12268, 322, 4236, 29918, 5450, 29918, 3127, 529, 5731, 29918, 386, 12268, 29901, 13, 18884, 2867, 13, 2 ]

mev/api/tests/test_public_data_views.py

hsph-qbrc/mev-backend

0

86500

import unittest.mock as mock from urllib.parse import quote as param_encoder from django.urls import reverse from django.core.exceptions import ImproperlyConfigured from rest_framework import status from api.models import PublicDataset, Workspace, Resource from api.tests.base import BaseAPITestCase from api.tests import test_settings class PublicDataListTests(BaseAPITestCase): def setUp(self): self.url = reverse('public-dataset-list') self.establish_clients() self.all_public_datasets = PublicDataset.objects.all() if len(self.all_public_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) self.all_active_datasets = [x for x in self.all_public_datasets if x.active] if len(self.all_active_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) def test_list_requires_auth(self): """ Test that general requests to the endpoint generate 401 """ response = self.regular_client.get(self.url) self.assertTrue((response.status_code == status.HTTP_401_UNAUTHORIZED) | (response.status_code == status.HTTP_403_FORBIDDEN)) response = self.authenticated_regular_client.get(self.url) self.assertTrue((response.status_code == status.HTTP_200_OK)) self.assertTrue(len(response.json()) == len(self.all_active_datasets)) class PublicDataDetailsTests(BaseAPITestCase): ''' Tests focused around the ability to query a specific public dataset. ''' def setUp(self): self.all_public_datasets = PublicDataset.objects.all() if len(self.all_public_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) self.all_active_datasets = [x for x in self.all_public_datasets if x.active] if len(self.all_active_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) # grab the first active dataset to use in the tests below self.test_active_dataset = self.all_active_datasets[0] self.url = reverse('public-dataset-details', kwargs={'dataset_id': self.test_active_dataset.index_name} ) self.establish_clients() def test_requires_auth(self): """ Test that general requests to the endpoint generate 401 """ response = self.regular_client.get(self.url) self.assertTrue((response.status_code == status.HTTP_401_UNAUTHORIZED) | (response.status_code == status.HTTP_403_FORBIDDEN)) response = self.authenticated_regular_client.get(self.url) self.assertTrue((response.status_code == status.HTTP_200_OK)) def test_returns_expected_details(self): response = self.authenticated_regular_client.get(self.url) self.assertTrue((response.status_code == status.HTTP_200_OK)) response_json = response.json() self.assertTrue(response_json['index_name'] == self.test_active_dataset.index_name) print(response_json) def test_inactive_instance_returns_404(self): ''' If the details are requested on an inactive dataset, return a 404 ''' # check that we have an inactive dataset first: dataset_tag = 'public-baz' pd = PublicDataset.objects.get(index_name = dataset_tag) self.assertFalse(pd.active) url = reverse('public-dataset-details', kwargs={'dataset_id': dataset_tag} ) response = self.authenticated_regular_client.get(url) self.assertTrue((response.status_code == status.HTTP_404_NOT_FOUND)) class PublicDataQueryTests(BaseAPITestCase): ''' Tests focused around the ability to query public datasets. ''' def setUp(self): self.all_public_datasets = PublicDataset.objects.all() if len(self.all_public_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) self.all_active_datasets = [x for x in self.all_public_datasets if x.active] if len(self.all_active_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) # grab the first active dataset to use in the tests below self.test_active_dataset = self.all_active_datasets[0] self.url = reverse('public-dataset-query', kwargs={'dataset_id': self.test_active_dataset.index_name} ) self.establish_clients() @mock.patch('api.views.public_dataset.query_dataset') def test_call_format(self, mock_query_dataset): ''' Test that the proper request is made ''' query_str = 'q=*:*&facet.field=foo&facet=on' encoded_str = 'q=%2A%3A%2A&facet.field=foo&facet=on' url = self.url + '?' + query_str mock_response_json = {'a':1, 'b':2} mock_query_dataset.return_value = mock_response_json response = self.authenticated_admin_client.get(url) mock_query_dataset.assert_called_with(self.test_active_dataset.index_name, encoded_str) class PublicDataCreateTests(BaseAPITestCase): ''' Tests focused around the ability to create public datasets. ''' def setUp(self): self.establish_clients() self.all_public_datasets = PublicDataset.objects.all() if len(self.all_public_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) self.all_active_datasets = [x for x in self.all_public_datasets if x.active] if len(self.all_active_datasets) == 0: raise ImproperlyConfigured('Need at least one active public dataset to' ' run this test properly.' ) # grab the first active dataset to use in the tests below self.test_active_dataset = self.all_active_datasets[0] self.url = reverse('public-dataset-create', kwargs={'dataset_id': self.test_active_dataset.index_name} ) def test_requires_auth(self): """ Test that general requests to the endpoint generate 401 """ response = self.regular_client.post(self.url) self.assertTrue((response.status_code == status.HTTP_401_UNAUTHORIZED) | (response.status_code == status.HTTP_403_FORBIDDEN)) @mock.patch('api.views.public_dataset.create_dataset_from_params') def test_error_to_add_resource_reported(self, mock_create_dataset_from_params): ''' If something goes wrong in the api.views.public_dataset.create_dataset_from_params function, we return a 400 and report it. ''' # this is the payload we want passed to the function. # the full request will have this AND the workspace payload = {'samples': [1,2,3]} # mock the failure: mock_create_dataset_from_params.side_effect = Exception('something bad!') response = self.authenticated_regular_client.post( self.url, data=payload, format='json') self.assertTrue(response.status_code == status.HTTP_400_BAD_REQUEST) @mock.patch('api.views.public_dataset.create_dataset_from_params') def test_missing_filter_creates_null_filter(self, mock_create_dataset_from_params): ''' Assume that the request payload was valid so that the api.views.public_dataset.create_dataset_from_params function returns an api.models.Resource instance. Here, test that we add that resource to the workspace and return a 201 ''' payload = {} # this is the new resource that is mock-created new_resource = Resource.objects.create( owner = self.regular_user_1, path = '/some/dummy_path/file.tsv', name = 'foo.tsv' ) mock_create_dataset_from_params.return_value = [new_resource,] # finally, call the endpoint response = self.authenticated_regular_client.post( self.url, data=payload, format='json') self.assertTrue(response.status_code == status.HTTP_201_CREATED) mock_create_dataset_from_params.assert_called_with( self.test_active_dataset.index_name, self.regular_user_1, None, '' ) j = response.json() self.assertTrue(j[0]['name'] == 'foo.tsv') @mock.patch('api.views.public_dataset.create_dataset_from_params') def test_adds_new_resource_to_workspace_case1(self, mock_create_dataset_from_params): ''' Assume that the request payload was valid so that the api.views.public_dataset.create_dataset_from_params function returns a list of api.models.Resource instances. Here, test that we add that resource to the workspace and return a 201. No output name for the dataset is provided ''' # this is the payload we want passed to the function. # the full request will have this AND the workspace payload = {'filters': {'a':1}} # below, we check that the workspace key gets stripped # from the call to the creation method new_resource = Resource.objects.create( owner = self.regular_user_1, path = '/some/dummy_path/file.tsv', name = 'foo.tsv' ) mock_create_dataset_from_params.return_value = [new_resource,] # finally, call the endpoint response = self.authenticated_regular_client.post( self.url, data=payload, format='json') self.assertTrue(response.status_code == status.HTTP_201_CREATED) # below, we check that the workspace key gets stripped # from the call to the creation method mock_create_dataset_from_params.assert_called_with( self.test_active_dataset.index_name, self.regular_user_1, payload['filters'], '' ) j = response.json() # j is a list of resource instances. We expect only one: self.assertTrue(j[0]['name'] == 'foo.tsv') @mock.patch('api.views.public_dataset.create_dataset_from_params') def test_adds_new_resource_to_workspace_case2(self, mock_create_dataset_from_params): ''' Assume that the request payload was valid so that the api.views.public_dataset.create_dataset_from_params function returns a list of api.models.Resource instances. Here, test that we add that resource to the workspace and return a 201. Here, we pass a name for the dataset ''' # this is the payload we want passed to the function. # the full request will have this AND the workspace output_name = 'foo' payload = {'filters': {'a':1}, 'output_name': output_name} # below, we check that the workspace key gets stripped # from the call to the creation method new_resource = Resource.objects.create( owner = self.regular_user_1, path = '/some/dummy_path/file.tsv', name = 'foo.tsv' ) mock_create_dataset_from_params.return_value = [new_resource,] # finally, call the endpoint response = self.authenticated_regular_client.post( self.url, data=payload, format='json') self.assertTrue(response.status_code == status.HTTP_201_CREATED) # below, we check that the workspace key gets stripped # from the call to the creation method mock_create_dataset_from_params.assert_called_with( self.test_active_dataset.index_name, self.regular_user_1, payload['filters'], output_name ) j = response.json() # j is a list of resource instances. We expect only one: self.assertTrue(j[0]['name'] == 'foo.tsv') @mock.patch('api.views.public_dataset.create_dataset_from_params') def test_rejects_malformatted_filter(self, mock_create_dataset_from_params): ''' Test that if a 'filter' key is provided and it is not parsed as a dict, then we reject ''' payload = { 'filters': 'abc' } response = self.authenticated_regular_client.post( self.url, data=payload, format='json') self.assertTrue(response.status_code == status.HTTP_400_BAD_REQUEST)

[ 1, 1053, 443, 27958, 29889, 17640, 408, 11187, 13, 3166, 3142, 1982, 29889, 5510, 1053, 14978, 408, 1828, 29918, 3977, 6119, 13, 3166, 9557, 29889, 26045, 1053, 11837, 13, 3166, 9557, 29889, 3221, 29889, 11739, 29879, 1053, 1954, 771, 546, 368, 3991, 2955, 13, 3166, 1791, 29918, 4468, 1053, 4660, 13, 13, 3166, 7882, 29889, 9794, 1053, 5236, 16390, 24541, 29892, 5244, 3493, 29892, 18981, 13, 3166, 7882, 29889, 21150, 29889, 3188, 1053, 7399, 3301, 1806, 342, 8259, 13, 3166, 7882, 29889, 21150, 1053, 1243, 29918, 11027, 13, 13, 13, 1990, 5236, 1469, 1293, 24376, 29898, 5160, 3301, 1806, 342, 8259, 1125, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 29889, 2271, 353, 11837, 877, 3597, 29899, 24713, 29899, 1761, 1495, 13, 4706, 1583, 29889, 342, 370, 1674, 29918, 11303, 1237, 580, 13, 4706, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 353, 5236, 16390, 24541, 29889, 12650, 29889, 497, 580, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 3597, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 353, 518, 29916, 363, 921, 297, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 565, 921, 29889, 4925, 29962, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 13, 1678, 822, 1243, 29918, 1761, 29918, 276, 339, 2658, 29918, 5150, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 4321, 393, 2498, 7274, 304, 278, 16248, 5706, 29871, 29946, 29900, 29896, 13, 4706, 9995, 13, 4706, 2933, 353, 1583, 29889, 15227, 29918, 4645, 29889, 657, 29898, 1311, 29889, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29896, 29918, 29965, 3521, 2692, 29950, 1955, 26664, 3352, 29897, 29871, 13, 4706, 891, 313, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29941, 29918, 22051, 29933, 1367, 29928, 1430, 876, 13, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 657, 29898, 1311, 29889, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29906, 29900, 29900, 29918, 8949, 876, 13, 4706, 1583, 29889, 9294, 5574, 29898, 2435, 29898, 5327, 29889, 3126, 3101, 1275, 7431, 29898, 1311, 29889, 497, 29918, 4925, 29918, 14538, 1691, 876, 13, 13, 13, 1990, 5236, 1469, 10602, 24376, 29898, 5160, 3301, 1806, 342, 8259, 1125, 13, 1678, 14550, 13, 1678, 4321, 29879, 21309, 2820, 278, 11509, 304, 2346, 263, 2702, 970, 8783, 29889, 13, 1678, 14550, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 353, 5236, 16390, 24541, 29889, 12650, 29889, 497, 580, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 3597, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 353, 518, 29916, 363, 921, 297, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 565, 921, 29889, 4925, 29962, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 396, 17229, 278, 937, 6136, 8783, 304, 671, 297, 278, 6987, 2400, 13, 4706, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 353, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29961, 29900, 29962, 13, 4706, 1583, 29889, 2271, 353, 11837, 877, 3597, 29899, 24713, 29899, 14144, 742, 29871, 13, 9651, 9049, 5085, 3790, 29915, 24713, 29918, 333, 2396, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29913, 13, 4706, 1723, 13, 4706, 1583, 29889, 342, 370, 1674, 29918, 11303, 1237, 580, 13, 13, 1678, 822, 1243, 29918, 276, 339, 2658, 29918, 5150, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 4321, 393, 2498, 7274, 304, 278, 16248, 5706, 29871, 29946, 29900, 29896, 13, 4706, 9995, 13, 4706, 2933, 353, 1583, 29889, 15227, 29918, 4645, 29889, 657, 29898, 1311, 29889, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29896, 29918, 29965, 3521, 2692, 29950, 1955, 26664, 3352, 29897, 29871, 13, 4706, 891, 313, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29941, 29918, 22051, 29933, 1367, 29928, 1430, 876, 13, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 657, 29898, 1311, 29889, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29906, 29900, 29900, 29918, 8949, 876, 13, 13, 1678, 822, 1243, 29918, 18280, 29918, 9684, 29918, 14144, 29898, 1311, 1125, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 657, 29898, 1311, 29889, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29906, 29900, 29900, 29918, 8949, 876, 13, 4706, 2933, 29918, 3126, 353, 2933, 29889, 3126, 580, 13, 4706, 1583, 29889, 9294, 5574, 29898, 5327, 29918, 3126, 1839, 2248, 29918, 978, 2033, 1275, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29897, 13, 4706, 1596, 29898, 5327, 29918, 3126, 29897, 13, 13, 1678, 822, 1243, 29918, 262, 4925, 29918, 8758, 29918, 18280, 29918, 29946, 29900, 29946, 29898, 1311, 1125, 13, 4706, 14550, 13, 4706, 960, 278, 4902, 526, 13877, 373, 385, 297, 4925, 8783, 29892, 736, 263, 29871, 29946, 29900, 29946, 13, 4706, 14550, 13, 4706, 396, 1423, 393, 591, 505, 385, 297, 4925, 8783, 937, 29901, 13, 4706, 8783, 29918, 4039, 353, 525, 3597, 29899, 27975, 29915, 13, 4706, 10518, 353, 5236, 16390, 24541, 29889, 12650, 29889, 657, 29898, 2248, 29918, 978, 353, 8783, 29918, 4039, 29897, 13, 4706, 1583, 29889, 9294, 8824, 29898, 15926, 29889, 4925, 29897, 13, 4706, 3142, 353, 11837, 877, 3597, 29899, 24713, 29899, 14144, 742, 29871, 13, 9651, 9049, 5085, 3790, 29915, 24713, 29918, 333, 2396, 8783, 29918, 4039, 29913, 13, 4706, 1723, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 657, 29898, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29946, 29918, 12256, 29918, 5800, 18783, 876, 13, 13, 1990, 5236, 1469, 3010, 24376, 29898, 5160, 3301, 1806, 342, 8259, 1125, 13, 1678, 14550, 13, 1678, 4321, 29879, 21309, 2820, 278, 11509, 304, 2346, 970, 20035, 29889, 13, 1678, 14550, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 353, 5236, 16390, 24541, 29889, 12650, 29889, 497, 580, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 3597, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 353, 518, 29916, 363, 921, 297, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 565, 921, 29889, 4925, 29962, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 396, 17229, 278, 937, 6136, 8783, 304, 671, 297, 278, 6987, 2400, 13, 4706, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 353, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29961, 29900, 29962, 13, 4706, 1583, 29889, 2271, 353, 11837, 877, 3597, 29899, 24713, 29899, 1972, 742, 29871, 13, 9651, 9049, 5085, 3790, 29915, 24713, 29918, 333, 2396, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29913, 13, 4706, 1723, 13, 4706, 1583, 29889, 342, 370, 1674, 29918, 11303, 1237, 580, 13, 13, 1678, 732, 17640, 29889, 5041, 877, 2754, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 1972, 29918, 24713, 1495, 13, 1678, 822, 1243, 29918, 4804, 29918, 4830, 29898, 1311, 29892, 11187, 29918, 1972, 29918, 24713, 1125, 13, 4706, 14550, 13, 4706, 4321, 393, 278, 1571, 2009, 338, 1754, 29871, 13, 4706, 14550, 13, 4706, 2346, 29918, 710, 353, 525, 29939, 29922, 29930, 29901, 29930, 29987, 17470, 300, 29889, 2671, 29922, 5431, 29987, 17470, 300, 29922, 265, 29915, 13, 4706, 18511, 29918, 710, 353, 525, 29939, 16328, 29906, 29909, 29995, 29941, 29909, 29995, 29906, 29909, 29987, 17470, 300, 29889, 2671, 29922, 5431, 29987, 17470, 300, 29922, 265, 29915, 13, 4706, 3142, 353, 1583, 29889, 2271, 718, 525, 17901, 718, 2346, 29918, 710, 13, 4706, 11187, 29918, 5327, 29918, 3126, 353, 11117, 29874, 2396, 29896, 29892, 525, 29890, 2396, 29906, 29913, 13, 4706, 11187, 29918, 1972, 29918, 24713, 29889, 2457, 29918, 1767, 353, 11187, 29918, 5327, 29918, 3126, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 6406, 29918, 4645, 29889, 657, 29898, 2271, 29897, 13, 4706, 11187, 29918, 1972, 29918, 24713, 29889, 9294, 29918, 13998, 29918, 2541, 29898, 1311, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29892, 18511, 29918, 710, 29897, 13, 13, 13, 1990, 5236, 1469, 4391, 24376, 29898, 5160, 3301, 1806, 342, 8259, 1125, 13, 1678, 14550, 13, 1678, 4321, 29879, 21309, 2820, 278, 11509, 304, 1653, 970, 20035, 29889, 13, 1678, 14550, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 13, 4706, 1583, 29889, 342, 370, 1674, 29918, 11303, 1237, 580, 13, 13, 4706, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 353, 5236, 16390, 24541, 29889, 12650, 29889, 497, 580, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 3597, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 353, 518, 29916, 363, 921, 297, 1583, 29889, 497, 29918, 3597, 29918, 14538, 1691, 565, 921, 29889, 4925, 29962, 13, 4706, 565, 7431, 29898, 1311, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29897, 1275, 29871, 29900, 29901, 13, 9651, 12020, 1954, 771, 546, 368, 3991, 2955, 877, 8139, 287, 472, 3203, 697, 6136, 970, 8783, 304, 29915, 13, 18884, 525, 1065, 445, 1243, 6284, 6169, 13, 9651, 1723, 13, 4706, 396, 17229, 278, 937, 6136, 8783, 304, 671, 297, 278, 6987, 2400, 13, 4706, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 353, 1583, 29889, 497, 29918, 4925, 29918, 14538, 1691, 29961, 29900, 29962, 13, 4706, 1583, 29889, 2271, 353, 11837, 877, 3597, 29899, 24713, 29899, 3258, 742, 29871, 13, 9651, 9049, 5085, 3790, 29915, 24713, 29918, 333, 2396, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29913, 13, 4706, 1723, 13, 13, 13, 1678, 822, 1243, 29918, 276, 339, 2658, 29918, 5150, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 4321, 393, 2498, 7274, 304, 278, 16248, 5706, 29871, 29946, 29900, 29896, 13, 4706, 9995, 13, 4706, 2933, 353, 1583, 29889, 15227, 29918, 4645, 29889, 2490, 29898, 1311, 29889, 2271, 29897, 13, 4706, 1583, 29889, 9294, 5574, 3552, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29896, 29918, 29965, 3521, 2692, 29950, 1955, 26664, 3352, 29897, 29871, 13, 4706, 891, 313, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29941, 29918, 22051, 29933, 1367, 29928, 1430, 876, 13, 13, 13, 1678, 732, 17640, 29889, 5041, 877, 2754, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1495, 13, 1678, 822, 1243, 29918, 2704, 29918, 517, 29918, 1202, 29918, 10314, 29918, 12276, 287, 29898, 1311, 29892, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1125, 13, 4706, 14550, 13, 4706, 960, 1554, 5771, 2743, 297, 278, 29871, 13, 4706, 7882, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 740, 29892, 13, 4706, 591, 736, 263, 29871, 29946, 29900, 29900, 322, 3461, 372, 29889, 13, 4706, 14550, 13, 4706, 396, 445, 338, 278, 20092, 591, 864, 4502, 304, 278, 740, 29889, 13, 4706, 396, 278, 2989, 2009, 674, 505, 445, 5300, 278, 664, 3493, 13, 4706, 20092, 353, 11117, 27736, 2396, 518, 29896, 29892, 29906, 29892, 29941, 12258, 13, 13, 4706, 396, 11187, 278, 10672, 29901, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 2975, 29918, 15987, 353, 8960, 877, 14481, 4319, 29991, 1495, 13, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 2490, 29898, 13, 9651, 1583, 29889, 2271, 29892, 848, 29922, 23813, 29892, 3402, 2433, 3126, 1495, 13, 4706, 1583, 29889, 9294, 5574, 29898, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29900, 29918, 29933, 3035, 29918, 16244, 29897, 13, 13, 1678, 732, 17640, 29889, 5041, 877, 2754, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1495, 13, 1678, 822, 1243, 29918, 27259, 29918, 4572, 29918, 1037, 1078, 29918, 4304, 29918, 4572, 29898, 1311, 29892, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1125, 13, 4706, 14550, 13, 4706, 22680, 393, 278, 2009, 20092, 471, 2854, 577, 393, 278, 29871, 13, 4706, 7882, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 740, 13, 4706, 3639, 385, 7882, 29889, 9794, 29889, 6848, 2777, 29889, 29871, 13, 13, 4706, 2266, 29892, 1243, 393, 591, 788, 393, 6503, 304, 278, 664, 3493, 322, 736, 263, 29871, 29906, 29900, 29896, 13, 4706, 14550, 13, 4706, 20092, 353, 6571, 13, 13, 4706, 396, 445, 338, 278, 716, 6503, 393, 338, 11187, 29899, 11600, 13, 4706, 716, 29918, 10314, 353, 18981, 29889, 12650, 29889, 3258, 29898, 13, 9651, 12271, 353, 1583, 29889, 15227, 29918, 1792, 29918, 29896, 29892, 13, 9651, 2224, 353, 8207, 5372, 29914, 29881, 11770, 29918, 2084, 29914, 1445, 29889, 1372, 29894, 742, 13, 9651, 1024, 353, 525, 5431, 29889, 1372, 29894, 29915, 13, 4706, 1723, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 2457, 29918, 1767, 353, 518, 1482, 29918, 10314, 26073, 13, 13, 4706, 396, 7146, 29892, 1246, 278, 16248, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 2490, 29898, 13, 9651, 1583, 29889, 2271, 29892, 848, 29922, 23813, 29892, 3402, 2433, 3126, 1495, 13, 4706, 1583, 29889, 9294, 5574, 29898, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29906, 29900, 29896, 29918, 27045, 29928, 29897, 13, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 9294, 29918, 13998, 29918, 2541, 29898, 13, 9651, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29892, 13, 9651, 1583, 29889, 15227, 29918, 1792, 29918, 29896, 29892, 13, 9651, 6213, 29892, 29871, 13, 9651, 6629, 13, 4706, 1723, 13, 4706, 432, 353, 2933, 29889, 3126, 580, 13, 4706, 1583, 29889, 9294, 5574, 29898, 29926, 29961, 29900, 22322, 978, 2033, 1275, 525, 5431, 29889, 1372, 29894, 1495, 13, 13, 1678, 732, 17640, 29889, 5041, 877, 2754, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1495, 13, 1678, 822, 1243, 29918, 1202, 29879, 29918, 1482, 29918, 10314, 29918, 517, 29918, 1287, 3493, 29918, 4878, 29896, 29898, 1311, 29892, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1125, 13, 4706, 14550, 13, 4706, 22680, 393, 278, 2009, 20092, 471, 2854, 577, 393, 278, 29871, 13, 4706, 7882, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 740, 13, 4706, 3639, 263, 1051, 310, 7882, 29889, 9794, 29889, 6848, 8871, 29889, 29871, 13, 13, 4706, 2266, 29892, 1243, 393, 591, 788, 393, 6503, 304, 278, 664, 3493, 322, 736, 263, 29871, 29906, 29900, 29896, 29889, 13, 4706, 1939, 1962, 1024, 363, 278, 8783, 338, 4944, 13, 4706, 14550, 13, 4706, 396, 445, 338, 278, 20092, 591, 864, 4502, 304, 278, 740, 29889, 13, 4706, 396, 278, 2989, 2009, 674, 505, 445, 5300, 278, 664, 3493, 13, 4706, 20092, 353, 11117, 26705, 2396, 11117, 29874, 2396, 29896, 930, 13, 13, 4706, 396, 2400, 29892, 591, 1423, 393, 278, 664, 3493, 1820, 4947, 10076, 2986, 13, 4706, 396, 515, 278, 1246, 304, 278, 11265, 1158, 13, 4706, 716, 29918, 10314, 353, 18981, 29889, 12650, 29889, 3258, 29898, 13, 9651, 12271, 353, 1583, 29889, 15227, 29918, 1792, 29918, 29896, 29892, 13, 9651, 2224, 353, 8207, 5372, 29914, 29881, 11770, 29918, 2084, 29914, 1445, 29889, 1372, 29894, 742, 13, 9651, 1024, 353, 525, 5431, 29889, 1372, 29894, 29915, 13, 4706, 1723, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 2457, 29918, 1767, 353, 518, 1482, 29918, 10314, 26073, 13, 13, 4706, 396, 7146, 29892, 1246, 278, 16248, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 2490, 29898, 13, 9651, 1583, 29889, 2271, 29892, 848, 29922, 23813, 29892, 3402, 2433, 3126, 1495, 13, 4706, 1583, 29889, 9294, 5574, 29898, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29906, 29900, 29896, 29918, 27045, 29928, 29897, 13, 13, 4706, 396, 2400, 29892, 591, 1423, 393, 278, 664, 3493, 1820, 4947, 10076, 2986, 13, 4706, 396, 515, 278, 1246, 304, 278, 11265, 1158, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 9294, 29918, 13998, 29918, 2541, 29898, 13, 9651, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29892, 13, 9651, 1583, 29889, 15227, 29918, 1792, 29918, 29896, 29892, 13, 9651, 20092, 1839, 26705, 7464, 13, 9651, 6629, 13, 4706, 1723, 13, 13, 4706, 432, 353, 2933, 29889, 3126, 580, 13, 4706, 396, 432, 338, 263, 1051, 310, 6503, 8871, 29889, 1334, 2149, 871, 697, 29901, 13, 4706, 1583, 29889, 9294, 5574, 29898, 29926, 29961, 29900, 22322, 978, 2033, 1275, 525, 5431, 29889, 1372, 29894, 1495, 13, 13, 13, 1678, 732, 17640, 29889, 5041, 877, 2754, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1495, 13, 1678, 822, 1243, 29918, 1202, 29879, 29918, 1482, 29918, 10314, 29918, 517, 29918, 1287, 3493, 29918, 4878, 29906, 29898, 1311, 29892, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1125, 13, 4706, 14550, 13, 4706, 22680, 393, 278, 2009, 20092, 471, 2854, 577, 393, 278, 29871, 13, 4706, 7882, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 740, 13, 4706, 3639, 263, 1051, 310, 7882, 29889, 9794, 29889, 6848, 8871, 29889, 29871, 13, 13, 4706, 2266, 29892, 1243, 393, 591, 788, 393, 6503, 304, 278, 664, 3493, 322, 736, 263, 29871, 29906, 29900, 29896, 29889, 13, 4706, 2266, 29892, 591, 1209, 263, 1024, 363, 278, 8783, 13, 4706, 14550, 13, 4706, 396, 445, 338, 278, 20092, 591, 864, 4502, 304, 278, 740, 29889, 13, 4706, 396, 278, 2989, 2009, 674, 505, 445, 5300, 278, 664, 3493, 13, 4706, 1962, 29918, 978, 353, 525, 5431, 29915, 13, 4706, 20092, 353, 11117, 26705, 2396, 11117, 29874, 2396, 29896, 1118, 525, 4905, 29918, 978, 2396, 1962, 29918, 978, 29913, 13, 13, 4706, 396, 2400, 29892, 591, 1423, 393, 278, 664, 3493, 1820, 4947, 10076, 2986, 13, 4706, 396, 515, 278, 1246, 304, 278, 11265, 1158, 13, 4706, 716, 29918, 10314, 353, 18981, 29889, 12650, 29889, 3258, 29898, 13, 9651, 12271, 353, 1583, 29889, 15227, 29918, 1792, 29918, 29896, 29892, 13, 9651, 2224, 353, 8207, 5372, 29914, 29881, 11770, 29918, 2084, 29914, 1445, 29889, 1372, 29894, 742, 13, 9651, 1024, 353, 525, 5431, 29889, 1372, 29894, 29915, 13, 4706, 1723, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 2457, 29918, 1767, 353, 518, 1482, 29918, 10314, 26073, 13, 13, 4706, 396, 7146, 29892, 1246, 278, 16248, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 2490, 29898, 13, 9651, 1583, 29889, 2271, 29892, 848, 29922, 23813, 29892, 3402, 2433, 3126, 1495, 13, 4706, 1583, 29889, 9294, 5574, 29898, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29906, 29900, 29896, 29918, 27045, 29928, 29897, 13, 13, 4706, 396, 2400, 29892, 591, 1423, 393, 278, 664, 3493, 1820, 4947, 10076, 2986, 13, 4706, 396, 515, 278, 1246, 304, 278, 11265, 1158, 13, 4706, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 29889, 9294, 29918, 13998, 29918, 2541, 29898, 13, 9651, 1583, 29889, 1688, 29918, 4925, 29918, 24713, 29889, 2248, 29918, 978, 29892, 13, 9651, 1583, 29889, 15227, 29918, 1792, 29918, 29896, 29892, 13, 9651, 20092, 1839, 26705, 7464, 13, 9651, 1962, 29918, 978, 13, 4706, 1723, 13, 13, 4706, 432, 353, 2933, 29889, 3126, 580, 13, 4706, 396, 432, 338, 263, 1051, 310, 6503, 8871, 29889, 1334, 2149, 871, 697, 29901, 13, 4706, 1583, 29889, 9294, 5574, 29898, 29926, 29961, 29900, 22322, 978, 2033, 1275, 525, 5431, 29889, 1372, 29894, 1495, 13, 13, 13, 1678, 732, 17640, 29889, 5041, 877, 2754, 29889, 7406, 29889, 3597, 29918, 24713, 29889, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1495, 13, 1678, 822, 1243, 29918, 276, 622, 29879, 29918, 5156, 689, 19667, 29918, 4572, 29898, 1311, 29892, 11187, 29918, 3258, 29918, 24713, 29918, 3166, 29918, 7529, 1125, 13, 4706, 14550, 13, 4706, 4321, 393, 565, 263, 525, 4572, 29915, 1820, 338, 4944, 322, 372, 338, 451, 21213, 29871, 13, 4706, 408, 263, 9657, 29892, 769, 591, 12560, 13, 4706, 14550, 13, 4706, 20092, 353, 426, 13, 9651, 525, 26705, 2396, 525, 10736, 29915, 13, 4706, 500, 13, 4706, 2933, 353, 1583, 29889, 27218, 630, 29918, 15227, 29918, 4645, 29889, 2490, 29898, 13, 9651, 1583, 29889, 2271, 29892, 848, 29922, 23813, 29892, 3402, 2433, 3126, 1495, 13, 4706, 1583, 29889, 9294, 5574, 29898, 5327, 29889, 4882, 29918, 401, 1275, 4660, 29889, 10493, 29918, 29946, 29900, 29900, 29918, 29933, 3035, 29918, 16244, 29897, 13, 2 ]

feedbacks/migrations/0001_initial.py

caputomarcos/pythondotorg

1

166092

<gh_stars>1-10 # -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ] operations = [ migrations.CreateModel( name='Feedback', fields=[ ('id', models.AutoField(primary_key=True, auto_created=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200, blank=True, null=True)), ('email', models.EmailField(max_length=75, blank=True, null=True)), ('country', models.CharField(max_length=100, blank=True, null=True)), ('referral_url', models.URLField(blank=True, null=True)), ('is_beta_tester', models.BooleanField(default=False)), ('comment', models.TextField()), ('created', models.DateTimeField(default=django.utils.timezone.now, blank=True)), ], options={ 'verbose_name': 'feedback', 'verbose_name_plural': 'feedbacks', 'ordering': ['created'], }, bases=(models.Model,), ), migrations.CreateModel( name='FeedbackCategory', fields=[ ('id', models.AutoField(primary_key=True, auto_created=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('slug', models.SlugField(unique=True)), ], options={ 'verbose_name': 'feedback category', 'verbose_name_plural': 'feedback categories', }, bases=(models.Model,), ), migrations.CreateModel( name='IssueType', fields=[ ('id', models.AutoField(primary_key=True, auto_created=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('slug', models.SlugField(unique=True)), ], options={ 'verbose_name': 'issue type', 'verbose_name_plural': 'issue types', }, bases=(models.Model,), ), migrations.AddField( model_name='feedback', name='feedback_categories', field=models.ManyToManyField(null=True, to='feedbacks.FeedbackCategory', related_name='feedbacks', blank=True), preserve_default=True, ), migrations.AddField( model_name='feedback', name='issue_type', field=models.ForeignKey(null=True, to='feedbacks.IssueType', related_name='feedbacks', blank=True), preserve_default=True, ), ]

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 3166, 9557, 29889, 2585, 1053, 4733, 29892, 9725, 800, 13, 5215, 9557, 29889, 13239, 29889, 2230, 8028, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 4391, 3195, 29898, 13, 9651, 1024, 2433, 29737, 1627, 742, 13, 9651, 4235, 11759, 13, 18884, 6702, 333, 742, 4733, 29889, 12300, 3073, 29898, 16072, 29918, 1989, 29922, 5574, 29892, 4469, 29918, 11600, 29922, 5574, 29892, 28755, 29922, 8824, 29892, 26952, 29918, 978, 2433, 1367, 1495, 511, 13, 18884, 6702, 978, 742, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29900, 29900, 29892, 9654, 29922, 5574, 29892, 1870, 29922, 5574, 8243, 13, 18884, 6702, 5269, 742, 4733, 29889, 9823, 3073, 29898, 3317, 29918, 2848, 29922, 29955, 29945, 29892, 9654, 29922, 5574, 29892, 1870, 29922, 5574, 8243, 13, 18884, 6702, 13509, 742, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29896, 29900, 29900, 29892, 9654, 29922, 5574, 29892, 1870, 29922, 5574, 8243, 13, 18884, 6702, 20275, 1705, 29918, 2271, 742, 4733, 29889, 4219, 3073, 29898, 19465, 29922, 5574, 29892, 1870, 29922, 5574, 8243, 13, 18884, 6702, 275, 29918, 3571, 29918, 1688, 261, 742, 4733, 29889, 18146, 3073, 29898, 4381, 29922, 8824, 8243, 13, 18884, 6702, 9342, 742, 4733, 29889, 15778, 25739, 13, 18884, 6702, 11600, 742, 4733, 29889, 11384, 3073, 29898, 4381, 29922, 14095, 29889, 13239, 29889, 2230, 8028, 29889, 3707, 29892, 9654, 29922, 5574, 8243, 13, 9651, 21251, 13, 9651, 3987, 3790, 13, 18884, 525, 369, 15828, 29918, 978, 2396, 525, 18798, 1627, 742, 13, 18884, 525, 369, 15828, 29918, 978, 29918, 572, 3631, 2396, 525, 18798, 1627, 29879, 742, 13, 18884, 525, 2098, 292, 2396, 6024, 11600, 7464, 13, 9651, 2981, 13, 9651, 22561, 7607, 9794, 29889, 3195, 29892, 511, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 4391, 3195, 29898, 13, 9651, 1024, 2433, 29737, 1627, 10900, 742, 13, 9651, 4235, 11759, 13, 18884, 6702, 333, 742, 4733, 29889, 12300, 3073, 29898, 16072, 29918, 1989, 29922, 5574, 29892, 4469, 29918, 11600, 29922, 5574, 29892, 28755, 29922, 8824, 29892, 26952, 29918, 978, 2433, 1367, 1495, 511, 13, 18884, 6702, 978, 742, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29900, 29900, 8243, 13, 18884, 6702, 29517, 742, 4733, 29889, 16973, 688, 3073, 29898, 13092, 29922, 5574, 8243, 13, 9651, 21251, 13, 9651, 3987, 3790, 13, 18884, 525, 369, 15828, 29918, 978, 2396, 525, 18798, 1627, 7663, 742, 13, 18884, 525, 369, 15828, 29918, 978, 29918, 572, 3631, 2396, 525, 18798, 1627, 13997, 742, 13, 9651, 2981, 13, 9651, 22561, 7607, 9794, 29889, 3195, 29892, 511, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 4391, 3195, 29898, 13, 9651, 1024, 2433, 29902, 893, 434, 1542, 742, 13, 9651, 4235, 11759, 13, 18884, 6702, 333, 742, 4733, 29889, 12300, 3073, 29898, 16072, 29918, 1989, 29922, 5574, 29892, 4469, 29918, 11600, 29922, 5574, 29892, 28755, 29922, 8824, 29892, 26952, 29918, 978, 2433, 1367, 1495, 511, 13, 18884, 6702, 978, 742, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29900, 29900, 8243, 13, 18884, 6702, 29517, 742, 4733, 29889, 16973, 688, 3073, 29898, 13092, 29922, 5574, 8243, 13, 9651, 21251, 13, 9651, 3987, 3790, 13, 18884, 525, 369, 15828, 29918, 978, 2396, 525, 15118, 1134, 742, 13, 18884, 525, 369, 15828, 29918, 978, 29918, 572, 3631, 2396, 525, 15118, 4072, 742, 13, 9651, 2981, 13, 9651, 22561, 7607, 9794, 29889, 3195, 29892, 511, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 18798, 1627, 742, 13, 9651, 1024, 2433, 18798, 1627, 29918, 20683, 742, 13, 9651, 1746, 29922, 9794, 29889, 14804, 1762, 14804, 3073, 29898, 4304, 29922, 5574, 29892, 304, 2433, 18798, 1627, 29879, 29889, 29737, 1627, 10900, 742, 4475, 29918, 978, 2433, 18798, 1627, 29879, 742, 9654, 29922, 5574, 511, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 18798, 1627, 742, 13, 9651, 1024, 2433, 15118, 29918, 1853, 742, 13, 9651, 1746, 29922, 9794, 29889, 27755, 2558, 29898, 4304, 29922, 5574, 29892, 304, 2433, 18798, 1627, 29879, 29889, 29902, 893, 434, 1542, 742, 4475, 29918, 978, 2433, 18798, 1627, 29879, 742, 9654, 29922, 5574, 511, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]

CGATReport/warnings_directive.py

IanSudbery/sphinx-report

0

151076

<reponame>IanSudbery/sphinx-report<filename>CGATReport/warnings_directive.py # -*- coding: utf-8 -*- """ sphinx.ext.warnings ~~~~~~~~~~~~~~~~~~~ Collect all warnings :copyright: Copyright 2007-2009 by the <NAME>, see AUTHORS. :license: BSD, see LICENSE for details. """ import logging from docutils import nodes import shelve from sphinx.locale import _ from sphinx.environment import NoUri from sphinx.util.compat import Directive from docutils.parsers.rst.directives.admonitions import BaseAdmonition CGATREPORT_WARNINGS_CACHE = "cgatreport_warnings.cache" class cgatreportwarning_node(nodes.warning, nodes.Element): pass class cgatreportwarninglist(nodes.General, nodes.Element): pass class CGATReportWarning(BaseAdmonition): node_class = cgatreportwarning_node # accept error as an optional argument optional_arguments = 1 def run(self): r = BaseAdmonition.run(self) if len(self.arguments) > 0: warningclass = self.arguments[0] else: warningclass = "generic" env = self.state.document.settings.env if not hasattr(env, 'cgatreportwarning_all_cgatreportwarnings'): env.cgatreportwarning_all_cgatreportwarnings = [] error_cache = shelve.open(CGATREPORT_WARNINGS_CACHE) error_cache["{}:{:06}".format(env.docname, self.lineno)] = ( r[0].deepcopy(), warningclass) logging.warning("CGATReport-Warning: %s" % warningclass) return r class CGATReportWarningList(Directive): """ A list of all cgatreportwarning entries. """ has_content = False required_arguments = 0 optional_arguments = 0 final_argument_whitespace = False option_spec = {} def run(self): # Simply insert an empty cgatreportwarninglist node which will # be replaced later when process_cgatreportwarning_nodes is # called return [cgatreportwarninglist('')] def process_cgatreportwarning_nodes(app, doctree, fromdocname): if not app.config['cgatreport_show_warnings']: for node in doctree.traverse(cgatreportwarning_node): node.parent.remove(node) # Replace all cgatreportwarninglist nodes with a list of the # collected cgatreportwarnings. Augment each cgatreportwarning # with a backlink to the original location. env = app.builder.env error_cache = shelve.open(CGATREPORT_WARNINGS_CACHE) for node in doctree.traverse(cgatreportwarninglist): if not app.config['cgatreport_show_warnings']: node.replace_self([]) continue content = [] nwarnings = 0 para = nodes.paragraph() sorted_items = sorted(error_cache.items()) para += nodes.Text("There are {} warnings".format(len(sorted_items))) content.append(para) for key, value in sorted_items: docname, lineno = key.split(":") lineno = int(lineno) cgatreportwarning, warningclass = value para = nodes.paragraph() filename = env.doc2path(docname, base=None) nwarnings += 1 location_str = '%s:%d ' % (filename, lineno) try: description_str = warningclass except KeyError: description_str = "unknown" # Create a reference newnode = nodes.reference('', '') innernode = nodes.emphasis(_(location_str), _(location_str)) newnode['refdocname'] = docname try: newnode['refuri'] = app.builder.get_relative_uri( fromdocname, docname) except NoUri: # ignore if no URI can be determined, e.g. for LaTeX output pass newnode.append(innernode) para += newnode para += nodes.Text(description_str, description_str) para += nodes.Text("\n", "\n") # (Recursively) resolve references in the cgatreportwarning content env.resolve_references(cgatreportwarning, docname, app.builder) content.append(para) node.replace_self(content) def purge_cgatreportwarnings(app, env, docname): if not hasattr(env, 'cgatreportwarning_all_cgatreportwarnings'): return env.cgatreportwarning_all_cgatreportwarnings = \ [cgatreportwarning for cgatreportwarning in env.cgatreportwarning_all_cgatreportwarnings if cgatreportwarning['docname'] != docname] def visit_cgatreportwarning_node(self, node): self.visit_admonition(node) def depart_cgatreportwarning_node(self, node): self.depart_admonition(node) def setup(app): app.add_config_value('cgatreport_show_warnings', True, False) app.add_node(cgatreportwarninglist) app.add_node(cgatreportwarning_node, html=(visit_cgatreportwarning_node, depart_cgatreportwarning_node), latex=( visit_cgatreportwarning_node, depart_cgatreportwarning_node), text=(visit_cgatreportwarning_node, depart_cgatreportwarning_node)) app.add_directive('warning', CGATReportWarning) app.add_directive('warninglist', CGATReportWarningList) app.connect('doctree-resolved', process_cgatreportwarning_nodes) app.connect('env-purge-doc', purge_cgatreportwarnings) return {'parallel_read_safe': True}

[ 1, 529, 276, 1112, 420, 29958, 29902, 273, 29903, 566, 495, 29891, 29914, 29879, 561, 14668, 29899, 12276, 29966, 9507, 29958, 11135, 1299, 13020, 29914, 25442, 886, 29918, 11851, 573, 29889, 2272, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 15945, 29908, 13, 1678, 269, 561, 14668, 29889, 1062, 29889, 25442, 886, 13, 1678, 3695, 26594, 26594, 7377, 13, 13, 1678, 24930, 599, 18116, 13, 13, 29901, 8552, 1266, 29901, 14187, 1266, 29871, 29906, 29900, 29900, 29955, 29899, 29906, 29900, 29900, 29929, 491, 278, 529, 5813, 10202, 1074, 26524, 29950, 24125, 29889, 13, 29901, 506, 1947, 29901, 350, 7230, 29892, 1074, 365, 2965, 1430, 1660, 363, 4902, 29889, 13, 15945, 29908, 13, 13, 5215, 12183, 13, 3166, 1574, 13239, 1053, 7573, 13, 5215, 528, 13841, 13, 13, 3166, 269, 561, 14668, 29889, 23337, 1053, 903, 13, 3166, 269, 561, 14668, 29889, 20944, 1053, 1939, 14702, 13, 3166, 269, 561, 14668, 29889, 4422, 29889, 12667, 1053, 8797, 573, 13, 3166, 1574, 13239, 29889, 862, 4253, 29889, 29878, 303, 29889, 11851, 3145, 29889, 328, 3712, 2187, 1053, 7399, 3253, 3712, 654, 13, 13, 11135, 1299, 1525, 15082, 29918, 29956, 25614, 29903, 29918, 29907, 2477, 9606, 353, 376, 29883, 29887, 6064, 637, 29918, 25442, 886, 29889, 8173, 29908, 13, 13, 13, 1990, 274, 29887, 6064, 637, 27392, 29918, 3177, 29898, 18010, 29889, 27392, 29892, 7573, 29889, 2642, 1125, 13, 1678, 1209, 13, 13, 13, 1990, 274, 29887, 6064, 637, 27392, 1761, 29898, 18010, 29889, 15263, 29892, 7573, 29889, 2642, 1125, 13, 1678, 1209, 13, 13, 13, 1990, 8446, 1299, 13020, 22709, 29898, 5160, 3253, 3712, 654, 1125, 13, 13, 1678, 2943, 29918, 1990, 353, 274, 29887, 6064, 637, 27392, 29918, 3177, 13, 13, 1678, 396, 3544, 1059, 408, 385, 13136, 2980, 13, 1678, 13136, 29918, 25699, 353, 29871, 29896, 13, 13, 1678, 822, 1065, 29898, 1311, 1125, 13, 13, 4706, 364, 353, 7399, 3253, 3712, 654, 29889, 3389, 29898, 1311, 29897, 13, 13, 4706, 565, 7431, 29898, 1311, 29889, 25699, 29897, 1405, 29871, 29900, 29901, 13, 9651, 9177, 1990, 353, 1583, 29889, 25699, 29961, 29900, 29962, 13, 4706, 1683, 29901, 13, 9651, 9177, 1990, 353, 376, 19206, 29908, 13, 13, 4706, 8829, 353, 1583, 29889, 3859, 29889, 3225, 29889, 11027, 29889, 6272, 13, 4706, 565, 451, 756, 5552, 29898, 6272, 29892, 525, 29883, 29887, 6064, 637, 27392, 29918, 497, 29918, 29883, 29887, 6064, 637, 25442, 886, 29374, 13, 9651, 8829, 29889, 29883, 29887, 6064, 637, 27392, 29918, 497, 29918, 29883, 29887, 6064, 637, 25442, 886, 353, 5159, 13, 13, 4706, 1059, 29918, 8173, 353, 528, 13841, 29889, 3150, 29898, 11135, 1299, 1525, 15082, 29918, 29956, 25614, 29903, 29918, 29907, 2477, 9606, 29897, 13, 13, 4706, 1059, 29918, 8173, 3366, 29912, 6177, 25641, 29900, 29953, 29913, 1642, 4830, 29898, 6272, 29889, 1514, 978, 29892, 1583, 29889, 1915, 8154, 4638, 353, 313, 13, 9651, 364, 29961, 29900, 1822, 24535, 8552, 3285, 9177, 1990, 29897, 13, 13, 4706, 12183, 29889, 27392, 703, 11135, 1299, 13020, 29899, 22709, 29901, 1273, 29879, 29908, 1273, 9177, 1990, 29897, 13, 13, 4706, 736, 364, 13, 13, 13, 1990, 8446, 1299, 13020, 22709, 1293, 29898, 17392, 573, 1125, 13, 13, 1678, 9995, 13, 1678, 319, 1051, 310, 599, 274, 29887, 6064, 637, 27392, 9976, 29889, 13, 1678, 9995, 13, 13, 1678, 756, 29918, 3051, 353, 7700, 13, 1678, 3734, 29918, 25699, 353, 29871, 29900, 13, 1678, 13136, 29918, 25699, 353, 29871, 29900, 13, 1678, 2186, 29918, 23516, 29918, 1332, 3246, 3535, 353, 7700, 13, 1678, 2984, 29918, 6550, 353, 6571, 13, 13, 1678, 822, 1065, 29898, 1311, 1125, 13, 4706, 396, 3439, 17632, 4635, 385, 4069, 274, 29887, 6064, 637, 27392, 1761, 2943, 607, 674, 13, 4706, 396, 367, 8611, 2678, 746, 1889, 29918, 29883, 29887, 6064, 637, 27392, 29918, 18010, 338, 13, 4706, 396, 2000, 13, 4706, 736, 518, 29883, 29887, 6064, 637, 27392, 1761, 877, 1495, 29962, 13, 13, 13, 1753, 1889, 29918, 29883, 29887, 6064, 637, 27392, 29918, 18010, 29898, 932, 29892, 437, 312, 929, 29892, 515, 1514, 978, 1125, 13, 1678, 565, 451, 623, 29889, 2917, 1839, 29883, 29887, 6064, 637, 29918, 4294, 29918, 25442, 886, 2033, 29901, 13, 4706, 363, 2943, 297, 437, 312, 929, 29889, 3018, 3901, 29898, 29883, 29887, 6064, 637, 27392, 29918, 3177, 1125, 13, 9651, 2943, 29889, 3560, 29889, 5992, 29898, 3177, 29897, 13, 13, 1678, 396, 22108, 599, 274, 29887, 6064, 637, 27392, 1761, 7573, 411, 263, 1051, 310, 278, 13, 1678, 396, 16531, 274, 29887, 6064, 637, 25442, 886, 29889, 29871, 22333, 358, 1269, 274, 29887, 6064, 637, 27392, 13, 1678, 396, 411, 263, 1250, 2324, 304, 278, 2441, 4423, 29889, 13, 1678, 8829, 353, 623, 29889, 16409, 29889, 6272, 13, 13, 1678, 1059, 29918, 8173, 353, 528, 13841, 29889, 3150, 29898, 11135, 1299, 1525, 15082, 29918, 29956, 25614, 29903, 29918, 29907, 2477, 9606, 29897, 13, 13, 1678, 363, 2943, 297, 437, 312, 929, 29889, 3018, 3901, 29898, 29883, 29887, 6064, 637, 27392, 1761, 1125, 13, 4706, 565, 451, 623, 29889, 2917, 1839, 29883, 29887, 6064, 637, 29918, 4294, 29918, 25442, 886, 2033, 29901, 13, 9651, 2943, 29889, 6506, 29918, 1311, 4197, 2314, 13, 9651, 6773, 13, 13, 4706, 2793, 353, 5159, 13, 4706, 302, 25442, 886, 353, 29871, 29900, 13, 13, 4706, 1702, 353, 7573, 29889, 26956, 580, 13, 4706, 12705, 29918, 7076, 353, 12705, 29898, 2704, 29918, 8173, 29889, 7076, 3101, 13, 4706, 1702, 4619, 7573, 29889, 1626, 703, 8439, 526, 6571, 18116, 1642, 4830, 29898, 2435, 29898, 24582, 29918, 7076, 4961, 13, 4706, 2793, 29889, 4397, 29898, 22752, 29897, 13, 13, 4706, 363, 1820, 29892, 995, 297, 12705, 29918, 7076, 29901, 13, 13, 9651, 1574, 978, 29892, 6276, 8154, 353, 1820, 29889, 5451, 703, 29901, 1159, 13, 9651, 6276, 8154, 353, 938, 29898, 1915, 8154, 29897, 13, 9651, 274, 29887, 6064, 637, 27392, 29892, 9177, 1990, 353, 995, 13, 13, 9651, 1702, 353, 7573, 29889, 26956, 580, 13, 13, 9651, 10422, 353, 8829, 29889, 1514, 29906, 2084, 29898, 1514, 978, 29892, 2967, 29922, 8516, 29897, 13, 13, 9651, 302, 25442, 886, 4619, 29871, 29896, 13, 9651, 4423, 29918, 710, 353, 14210, 29879, 16664, 29881, 525, 1273, 313, 9507, 29892, 6276, 8154, 29897, 13, 13, 9651, 1018, 29901, 13, 18884, 6139, 29918, 710, 353, 9177, 1990, 13, 9651, 5174, 7670, 2392, 29901, 13, 18884, 6139, 29918, 710, 353, 376, 26690, 29908, 13, 13, 9651, 396, 6204, 263, 3407, 13, 9651, 716, 3177, 353, 7573, 29889, 5679, 877, 742, 27255, 13, 9651, 7622, 824, 356, 353, 7573, 29889, 7278, 25101, 7373, 29898, 5479, 29918, 710, 511, 903, 29898, 5479, 29918, 710, 876, 13, 9651, 716, 3177, 1839, 999, 1514, 978, 2033, 353, 1574, 978, 13, 13, 9651, 1018, 29901, 13, 18884, 716, 3177, 1839, 999, 5338, 2033, 353, 623, 29889, 16409, 29889, 657, 29918, 22925, 29918, 5338, 29898, 13, 462, 1678, 515, 1514, 978, 29892, 1574, 978, 29897, 13, 9651, 5174, 1939, 14702, 29901, 13, 18884, 396, 11455, 565, 694, 23539, 508, 367, 10087, 29892, 321, 29889, 29887, 29889, 363, 29186, 1962, 13, 18884, 1209, 13, 9651, 716, 3177, 29889, 4397, 29898, 2559, 824, 356, 29897, 13, 13, 9651, 1702, 4619, 716, 3177, 13, 9651, 1702, 4619, 7573, 29889, 1626, 29898, 8216, 29918, 710, 29892, 6139, 29918, 710, 29897, 13, 9651, 1702, 4619, 7573, 29889, 1626, 14182, 29876, 613, 6634, 29876, 1159, 13, 13, 9651, 396, 313, 4789, 1295, 3598, 29897, 8814, 9282, 297, 278, 274, 29887, 6064, 637, 27392, 2793, 13, 9651, 8829, 29889, 17863, 29918, 276, 10662, 29898, 29883, 29887, 6064, 637, 27392, 29892, 13, 462, 462, 259, 1574, 978, 29892, 13, 462, 462, 259, 623, 29889, 16409, 29897, 13, 13, 9651, 2793, 29889, 4397, 29898, 22752, 29897, 13, 13, 4706, 2943, 29889, 6506, 29918, 1311, 29898, 3051, 29897, 13, 13, 13, 1753, 3708, 479, 29918, 29883, 29887, 6064, 637, 25442, 886, 29898, 932, 29892, 8829, 29892, 1574, 978, 1125, 13, 1678, 565, 451, 756, 5552, 29898, 6272, 29892, 525, 29883, 29887, 6064, 637, 27392, 29918, 497, 29918, 29883, 29887, 6064, 637, 25442, 886, 29374, 13, 4706, 736, 13, 1678, 8829, 29889, 29883, 29887, 6064, 637, 27392, 29918, 497, 29918, 29883, 29887, 6064, 637, 25442, 886, 353, 320, 13, 4706, 518, 29883, 29887, 6064, 637, 27392, 363, 274, 29887, 6064, 637, 27392, 297, 13, 308, 8829, 29889, 29883, 29887, 6064, 637, 27392, 29918, 497, 29918, 29883, 29887, 6064, 637, 25442, 886, 13, 308, 565, 274, 29887, 6064, 637, 27392, 1839, 1514, 978, 2033, 2804, 1574, 978, 29962, 13, 13, 13, 1753, 6493, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 29898, 1311, 29892, 2943, 1125, 13, 1678, 1583, 29889, 1730, 277, 29918, 328, 3712, 654, 29898, 3177, 29897, 13, 13, 13, 1753, 5840, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 29898, 1311, 29892, 2943, 1125, 13, 1678, 1583, 29889, 311, 1595, 29918, 328, 3712, 654, 29898, 3177, 29897, 13, 13, 13, 1753, 6230, 29898, 932, 1125, 13, 1678, 623, 29889, 1202, 29918, 2917, 29918, 1767, 877, 29883, 29887, 6064, 637, 29918, 4294, 29918, 25442, 886, 742, 5852, 29892, 7700, 29897, 13, 13, 1678, 623, 29889, 1202, 29918, 3177, 29898, 29883, 29887, 6064, 637, 27392, 1761, 29897, 13, 1678, 623, 29889, 1202, 29918, 3177, 29898, 29883, 29887, 6064, 637, 27392, 29918, 3177, 29892, 13, 462, 3472, 7607, 1730, 277, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 29892, 13, 462, 539, 5840, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 511, 13, 462, 5683, 29916, 7607, 13, 462, 268, 6493, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 29892, 13, 462, 268, 5840, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 511, 13, 462, 1426, 7607, 1730, 277, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 29892, 13, 462, 539, 5840, 29918, 29883, 29887, 6064, 637, 27392, 29918, 3177, 876, 13, 13, 1678, 623, 29889, 1202, 29918, 11851, 573, 877, 27392, 742, 8446, 1299, 13020, 22709, 29897, 13, 1678, 623, 29889, 1202, 29918, 11851, 573, 877, 27392, 1761, 742, 8446, 1299, 13020, 22709, 1293, 29897, 13, 1678, 623, 29889, 6915, 877, 1867, 312, 929, 29899, 9778, 1490, 742, 1889, 29918, 29883, 29887, 6064, 637, 27392, 29918, 18010, 29897, 13, 1678, 623, 29889, 6915, 877, 6272, 29899, 15503, 479, 29899, 1514, 742, 3708, 479, 29918, 29883, 29887, 6064, 637, 25442, 886, 29897, 13, 13, 1678, 736, 11117, 23482, 29918, 949, 29918, 11177, 2396, 5852, 29913, 13, 2 ]

spinoffs/inference_gym/inference_gym/targets/eight_schools_test.py

PavanKishore21/probability

3,670

30679

# Copyright 2020 The TensorFlow Probability Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ """Tests for inference_gym.targets.eight_schools.""" import tensorflow.compat.v2 as tf from inference_gym.internal import test_util from inference_gym.targets import eight_schools @test_util.multi_backend_test(globals(), 'targets.eight_schools_test') class EightSchoolsTest(test_util.InferenceGymTestCase): def testEightSchools(self): """Checks that unconstrained parameters yield finite joint densities.""" model = eight_schools.EightSchools() self.validate_log_prob_and_transforms( model, sample_transformation_shapes=dict(identity={ 'avg_effect': [], 'log_stddev': [], 'school_effects': [8], }), check_ground_truth_mean_standard_error=True, check_ground_truth_mean=True, check_ground_truth_standard_deviation=True) @test_util.numpy_disable_gradient_test def testEightSchoolsHMC(self): """Checks approximate samples from the model against the ground truth.""" model = eight_schools.EightSchools() self.validate_ground_truth_using_hmc( model, num_chains=4, num_steps=4000, num_leapfrog_steps=10, step_size=0.4, ) if __name__ == '__main__': tf.test.main()

[ 1, 396, 14187, 1266, 29871, 29906, 29900, 29906, 29900, 450, 323, 6073, 17907, 1019, 29890, 3097, 13189, 943, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 268, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 1360, 13, 15945, 29908, 24376, 363, 27262, 29918, 29887, 962, 29889, 5182, 29879, 29889, 29872, 523, 29918, 816, 8789, 1213, 15945, 13, 13, 5215, 26110, 29889, 12667, 29889, 29894, 29906, 408, 15886, 13, 13, 3166, 27262, 29918, 29887, 962, 29889, 7564, 1053, 1243, 29918, 4422, 13, 3166, 27262, 29918, 29887, 962, 29889, 5182, 29879, 1053, 9475, 29918, 816, 8789, 13, 13, 13, 29992, 1688, 29918, 4422, 29889, 9910, 29918, 27852, 29918, 1688, 29898, 23705, 1338, 3285, 525, 5182, 29879, 29889, 29872, 523, 29918, 816, 8789, 29918, 1688, 1495, 13, 1990, 382, 523, 4504, 8789, 3057, 29898, 1688, 29918, 4422, 29889, 797, 1659, 29954, 962, 3057, 8259, 1125, 13, 13, 29871, 822, 1243, 29923, 523, 4504, 8789, 29898, 1311, 1125, 13, 1678, 9995, 5596, 29879, 393, 443, 3075, 22042, 4128, 7709, 8093, 14002, 6245, 1907, 1213, 15945, 13, 1678, 1904, 353, 9475, 29918, 816, 8789, 29889, 29923, 523, 4504, 8789, 580, 13, 1678, 1583, 29889, 15480, 29918, 1188, 29918, 22795, 29918, 392, 29918, 9067, 29879, 29898, 13, 4706, 1904, 29892, 13, 4706, 4559, 29918, 3286, 5404, 29918, 845, 11603, 29922, 8977, 29898, 22350, 3790, 13, 9651, 525, 485, 29887, 29918, 15987, 2396, 19997, 13, 9651, 525, 1188, 29918, 4172, 3359, 2396, 19997, 13, 9651, 525, 27041, 29918, 15987, 29879, 2396, 518, 29947, 1402, 13, 4706, 500, 511, 13, 4706, 1423, 29918, 2057, 29918, 509, 2806, 29918, 12676, 29918, 15770, 29918, 2704, 29922, 5574, 29892, 13, 4706, 1423, 29918, 2057, 29918, 509, 2806, 29918, 12676, 29922, 5574, 29892, 13, 4706, 1423, 29918, 2057, 29918, 509, 2806, 29918, 15770, 29918, 311, 14641, 29922, 5574, 29897, 13, 13, 29871, 732, 1688, 29918, 4422, 29889, 23749, 29918, 20472, 29918, 24970, 29918, 1688, 13, 29871, 822, 1243, 29923, 523, 4504, 8789, 29950, 12513, 29898, 1311, 1125, 13, 1678, 9995, 5596, 29879, 26368, 11916, 515, 278, 1904, 2750, 278, 5962, 8760, 1213, 15945, 13, 1678, 1904, 353, 9475, 29918, 816, 8789, 29889, 29923, 523, 4504, 8789, 580, 13, 13, 1678, 1583, 29889, 15480, 29918, 2057, 29918, 509, 2806, 29918, 4746, 29918, 7184, 29883, 29898, 13, 4706, 1904, 29892, 13, 4706, 954, 29918, 305, 2708, 29922, 29946, 29892, 13, 4706, 954, 29918, 24530, 29922, 29946, 29900, 29900, 29900, 29892, 13, 4706, 954, 29918, 280, 481, 29888, 9102, 29918, 24530, 29922, 29896, 29900, 29892, 13, 4706, 4331, 29918, 2311, 29922, 29900, 29889, 29946, 29892, 13, 1678, 1723, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 29871, 15886, 29889, 1688, 29889, 3396, 580, 13, 2 ]

tests/codegen/unroller_test.py

tobiasholenstein/dace

0

85418

<reponame>tobiasholenstein/dace # Copyright 2019-2020 ETH Zurich and the DaCe authors. All rights reserved. import dace import numpy as np import unittest @dace.program def Copy(output: dace.int32[5], input: dace.int32[5]): @dace.map def mytasklet(i: _[0:5]): inp << input[i] out >> output[i] out = inp class UnrollerTest(unittest.TestCase): def test_unroller(self): sdfg = Copy.to_sdfg() # Transform map to unrolled for state in sdfg.nodes(): for node in state.nodes(): if isinstance(node, dace.sdfg.nodes.MapEntry): node.schedule = dace.ScheduleType.Unrolled input = np.ones([5], dtype=np.int32) output = np.zeros([5], dtype=np.int32) sdfg(output=output, input=input) self.assertTrue((output == input).all()) if __name__ == '__main__': unittest.main()

[ 1, 529, 276, 1112, 420, 29958, 517, 5365, 1161, 18975, 5465, 29914, 29881, 815, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29896, 29929, 29899, 29906, 29900, 29906, 29900, 382, 4690, 16318, 436, 322, 278, 7266, 29907, 29872, 15717, 29889, 2178, 10462, 21676, 29889, 13, 5215, 270, 815, 13, 5215, 12655, 408, 7442, 13, 5215, 443, 27958, 13, 13, 29992, 29881, 815, 29889, 8860, 13, 1753, 14187, 29898, 4905, 29901, 270, 815, 29889, 524, 29941, 29906, 29961, 29945, 1402, 1881, 29901, 270, 815, 29889, 524, 29941, 29906, 29961, 29945, 29962, 1125, 13, 1678, 732, 29881, 815, 29889, 1958, 13, 1678, 822, 590, 7662, 1026, 29898, 29875, 29901, 903, 29961, 29900, 29901, 29945, 29962, 1125, 13, 4706, 297, 29886, 3532, 1881, 29961, 29875, 29962, 13, 4706, 714, 5099, 1962, 29961, 29875, 29962, 13, 308, 13, 4706, 714, 353, 297, 29886, 13, 13, 1990, 853, 1825, 3057, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 1678, 822, 1243, 29918, 348, 1825, 29898, 1311, 1125, 13, 4706, 269, 2176, 29887, 353, 14187, 29889, 517, 29918, 29879, 2176, 29887, 580, 13, 13, 4706, 396, 4103, 689, 2910, 304, 443, 24476, 13, 4706, 363, 2106, 297, 269, 2176, 29887, 29889, 18010, 7295, 13, 9651, 363, 2943, 297, 2106, 29889, 18010, 7295, 13, 18884, 565, 338, 8758, 29898, 3177, 29892, 270, 815, 29889, 29879, 2176, 29887, 29889, 18010, 29889, 3388, 9634, 1125, 13, 462, 1678, 2943, 29889, 816, 11272, 353, 270, 815, 29889, 4504, 11272, 1542, 29889, 2525, 24476, 13, 13, 4706, 1881, 353, 7442, 29889, 2873, 4197, 29945, 1402, 26688, 29922, 9302, 29889, 524, 29941, 29906, 29897, 13, 4706, 1962, 353, 7442, 29889, 3298, 359, 4197, 29945, 1402, 26688, 29922, 9302, 29889, 524, 29941, 29906, 29897, 13, 4706, 269, 2176, 29887, 29898, 4905, 29922, 4905, 29892, 1881, 29922, 2080, 29897, 13, 13, 4706, 1583, 29889, 9294, 5574, 3552, 4905, 1275, 1881, 467, 497, 3101, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 443, 27958, 29889, 3396, 580, 13, 2 ]

cppod.py

siqil/CPPOD

4

138167

<gh_stars>1-10 import numpy as np import torch import torch.nn as nn import os import time import random import pickle import logging import math import torch.optim as optim import pandas as pd from collections import OrderedDict import util class NSMMPP(nn.Module): def __init__(self, label_size, hidden_size, args, prior=None): super(NSMMPP, self).__init__() self.args = args self.target = args.target self.device = args.device self.sigmoid = nn.Sigmoid() self.tanh = nn.Tanh() self.softplus = nn.Softplus() self.label_size = label_size self.hidden_size = hidden_size self.num_eq = 7 # add a special event label for initialization self.Emb = nn.Parameter(self.init_weight(torch.empty(hidden_size, label_size + 1, device=self.device))) self.W = nn.Parameter(self.init_weight(torch.empty(self.num_eq, hidden_size, hidden_size, device=self.device))) self.U = nn.Parameter(self.init_weight(torch.empty(self.num_eq, hidden_size, hidden_size, device=self.device))) self.d = nn.Parameter(torch.zeros(self.num_eq, hidden_size, device=self.device)) self.w = nn.Parameter(self.init_weight(torch.empty(label_size, hidden_size, device=self.device))) self.log_s = nn.Parameter(torch.zeros(label_size, device=self.device)) self.debug = False def init_weight(self, w): stdv = 1. / math.sqrt(w.size()[-1]) w.uniform_(-stdv, stdv) return w def scaled_softplus(self, x): s = torch.exp(self.log_s) return s * self.softplus(x / s) # all zeros def init_hidden(self): c_t = torch.zeros(self.hidden_size, device=self.device) c_ = torch.zeros_like(c_t) h_t = torch.zeros_like(c_t) hidden = (c_t, h_t, c_, None, None, None) return hidden # only compute hidden variables def forward_one_step(self, label_prev, label, t_prev, t, hidden): c_t, h_t, c_, _, _, _ = hidden temp = self.W.matmul(label_prev) + self.U.matmul(h_t) + self.d i = self.sigmoid(temp[0, :]) f = self.sigmoid(temp[1, :]) z = self.tanh(temp[2, :]) o = self.sigmoid(temp[3, :]) i_ = self.sigmoid(temp[4, :]) f_ = self.sigmoid(temp[5, :]) delta = self.softplus(temp[6, :]) c = f * c_t + i * z c_ = f_ * c_ + i_ * z c_t = c_ + (c - c_) * torch.exp(-delta * (t - t_prev)) h_t = o * self.tanh(c_t) hidden = (c_t, h_t, c_, c, delta, o) return hidden def h_to_lambd(self, h): lambd_tilda = h.matmul(self.w.t()) lambd = self.scaled_softplus(lambd_tilda) return lambd + 1e-9 # compute NLL loss given a label_seq and a time_seq # sim_time_seq is simlulated times for computing integral def loglik(self, label_seq, time_seq, sim_time_seq, sim_time_idx, ignore_first): n = len(time_seq) # collect states right after each event # last event is EOS marker all_c = torch.zeros(n-1, self.hidden_size, device=self.device) all_c_ = torch.zeros_like(all_c) all_delta = torch.zeros_like(all_c) all_o = torch.zeros_like(all_c) all_h_t = torch.zeros_like(all_c) hidden = self.init_hidden() # BOS event is 0 at time 0 label_prev = self.Emb[:, label_seq[0]].squeeze() t_prev = time_seq[0] for i in range(1,n): label = self.Emb[:, label_seq[i]].squeeze() t = time_seq[i] hidden = self.forward_one_step(label_prev, label, t_prev, t, hidden) _, all_h_t[i-1, :], all_c_[i-1, :], all_c[i-1, :], all_delta[i-1, :], all_o[i-1, :] = hidden label_prev = label t_prev = t if ignore_first: beg = 1 else: beg = 0 target = self.target h_t = all_h_t[beg:-1, :] if h_t.shape[0] > 0: lambd = self.h_to_lambd(h_t) term1 = (lambd[label_seq[(1+beg):-1] == target, target-1]).log().sum() else: term1 = 0 c_sim = all_c_[sim_time_idx, :] + \ (all_c[sim_time_idx, :] - all_c_[sim_time_idx, :]) * \ torch.exp(-all_delta[sim_time_idx, :] * (sim_time_seq - time_seq[sim_time_idx])[:, None]) h_sim = all_o[sim_time_idx, :] * self.tanh(c_sim) lambd_sim = self.h_to_lambd(h_sim) term2 = lambd_sim[:, target-1].mean() * (time_seq[-1] - time_seq[0]) loglik = term1 - term2 return -loglik, all_c, all_c_, all_delta, all_o, all_h_t, h_sim def forward(self, label_seq, time_seq, sim_time_seq, sim_time_idx, ignore_first): result = self.loglik(label_seq, time_seq, sim_time_seq, sim_time_idx, ignore_first) return result[0].sum() def detect_outlier(self, label_seq, time_seq, sim_time_seq, sim_time_idx, sim_time_diffs, time_test, n_sample): with torch.no_grad(): loglik, all_c, all_c_, all_delta, all_o, all_h_t, h_sim = self.loglik( label_seq, time_seq, sim_time_seq, sim_time_idx, False) n = len(time_test) m = len(time_seq) score = torch.zeros(n-1, device=self.device) target = self.target j = 0 ts = torch.zeros(n_sample, device=self.device) for i in range(n-1): t_beg = time_test[i] t_end = time_test[i+1] ts.uniform_(t_beg, t_end) # find the first event after t_beg while j < m and time_seq[j] <= t_beg: j += 1 assert(time_seq[j] > t_beg) assert(time_seq[j-1] <= t_beg) Lambd = 0 k = j # calculate Lambda piecewise segmented by events while k < m and time_seq[k-1] <= t_end: ts_in_range = ts[(ts > time_seq[k-1]) & (ts <= time_seq[k])] if len(ts_in_range) > 0: c = all_c[k-1,:] c_ = all_c_[k-1,:] delta = all_delta[k-1,:] o = all_o[k-1,:] c_ts = c_ + (c - c_) * torch.exp(-delta[None, :] * (ts_in_range[:, None] - time_seq[k-1])) h_ts = o * self.tanh(c_ts) lambd_all = self.h_to_lambd(h_ts) lambd = lambd_all[:,target-1] Lambd += lambd.sum() / n_sample k += 1 Lambd *= (t_end - t_beg) score[i] = Lambd lambd = self.h_to_lambd(all_h_t)[:-1] lambd_sim = self.h_to_lambd(h_sim) return score, -score, lambd, lambd_sim def detect_outlier_instant(self, label_seq, time_seq, sim_time_seq, sim_time_idx, sim_time_diffs, time_test): with torch.no_grad(): loglik, all_c, all_c_, all_delta, all_o, all_h_t, h_sim = self.loglik( label_seq, time_seq, sim_time_seq, sim_time_idx, False) n = len(time_test) m = len(time_seq) score = torch.zeros(n-1, device=self.device) target = self.target j = 0 for i in range(n-1): t_end = time_test[i+1] if t_end == 0: j = 1 else: # find the first event at/after t_end while j < m and time_seq[j] < t_end: j += 1 assert(time_seq[j] >= t_end) # last event before t_end assert(time_seq[j-1] < t_end) c = all_c[j-1,:] c_ = all_c_[j-1,:] delta = all_delta[j-1,:] o = all_o[j-1,:] c_ts = c_ + (c - c_) * torch.exp(-delta * (t_end - time_seq[j-1])) h_ts = o * self.tanh(c_ts) lambd_all = self.h_to_lambd(h_ts) lambd = lambd_all[target-1] score[i] = lambd lambd = self.h_to_lambd(all_h_t)[:-1] lambd_sim = self.h_to_lambd(h_sim) return score, -score, lambd, lambd_sim class ModelManager: def __init__(self, train_set, val_set, test_set, save_path, args): self.args = args self.device = args.device self.target = args.target self.sim_time_diffs = None self.train_set, time_train, count_train = self.prepare(train_set, args.sample_multiplier) self.val_set, time_val, count_val = self.prepare(val_set, args.sample_multiplier) self.test_set, _, _ = self.prepare(test_set, args.sample_multiplier) self.horizon = (time_train+time_val)/(count_train+count_val) self.dt = 1 self.model_path = save_path self.ignore_first = args.ignore_first def prepare(self, data_set, multiple, diff_sample_size=100, regular=False, step=None): if data_set is None: return None, None, None output = [] total_time = 0 total_count = 0 for seq in data_set: label_seq = torch.tensor( np.concatenate(([0], seq['mark'], [0])), dtype=torch.long, device=self.device ) time_seq = torch.tensor( np.concatenate(([seq['start']], seq['time'], [seq['stop']])), dtype=torch.float, device=self.device ) n = len(time_seq) t0 = seq['start'] tn = seq['stop'] total_time += tn - t0 total_count += (label_seq == 1).sum() if regular: sim_time_seq = torch.arange(t0, tn, step, device=self.device) sim_time_idx = torch.zeros_like(sim_time_seq, dtype=torch.long) else: sim_time_seq = time_seq.new_empty(n * multiple) sim_time_seq.uniform_(t0, tn) sim_time_idx = label_seq.new_zeros(n * multiple) for j in range(n - 1): sim_time_idx[(sim_time_seq > time_seq[j]) & (sim_time_seq <= time_seq[j + 1]) ] = j if self.sim_time_diffs is None: temp = sim_time_seq.new_empty(diff_sample_size) temp.exponential_(1) self.sim_time_diffs, _ = torch.sort(temp) if seq['time_test'] is None: time_test = None else: time_test = torch.tensor( seq['time_test'], dtype=torch.float, device=self.device) if seq['label_test'] is None: label_test = None else: label_test = torch.tensor( seq['label_test'], device=self.device, ) item = { 'id': seq['id'], 'label_seq': label_seq, 'time_seq': time_seq, 'sim_time_seq': sim_time_seq, 'sim_time_idx': sim_time_idx, 'sim_time_diffs' : self.sim_time_diffs, 'time_test': time_test, 'label_test': label_test, 'lambda_x': seq['lambda_x'], 't_x': seq['t_x'], } output.append(item) return output, total_time, total_count def train_one_epoch(self, model, train_set, optimizer): log_interval = self.args.log_interval total_loss = 0 total_num_seq = len(train_set) start_time = time.time() for seq_idx, item in enumerate(train_set): optimizer.zero_grad() loss = model(item['label_seq'], item['time_seq'], item['sim_time_seq'], item['sim_time_idx'], False) loss.backward() optimizer.step() total_loss += loss.item() if seq_idx % log_interval == 0 and seq_idx > 0: cur_loss = total_loss / log_interval elapsed = time.time() - start_time logging.info('| {:5d}/{:5d} seqs | ' 'ms/seq {:5.2f} | ' 'loss {:5.2f} |'.format( seq_idx, total_num_seq, elapsed * 1000 / log_interval, cur_loss)) total_loss = 0 start_time = time.time() def train(self, model, epochs=None, use_all_data=False, name="model.pt"): best_val_loss = None optimizer = optim.Adam(model.parameters(), lr=self.args.lr) if epochs is None: early_stop = True epochs = self.args.epochs else: early_stop = False for epoch in range(1, epochs+1): epoch_start_time = time.time() if use_all_data: train_set = self.train_set + self.val_set else: train_set = self.train_set self.train_one_epoch(model, train_set, optimizer) val_loss = self.evaluate(model) logging.info('-' * 89) logging.info('| end of epoch {:3d} | time: {:5.2f}s | ' 'valid loss {:f} |'.format( epoch, (time.time() - epoch_start_time), val_loss)) logging.info('-' * 89) if best_val_loss is None or val_loss < best_val_loss: self.save_model(model, name) best_val_loss = val_loss elif early_stop: epochs = epoch - 1 break if best_val_loss: self.load_model(model, name) return best_val_loss, epochs def evaluate(self, model): total_loss = 0 for seq_idx, item in enumerate(self.val_set): loss = model( item['label_seq'], item['time_seq'], item['sim_time_seq'], item['sim_time_idx'], self.ignore_first ) total_loss += loss.item() return total_loss def likelihood(self, model, dataset): total_loss = 0 for seq_idx, item in enumerate(dataset): loss = model( item['label_seq'], item['time_seq'], item['sim_time_seq'], item['sim_time_idx'], self.ignore_first ) total_loss += loss.item() return total_loss def detect_outlier(self, model, debug=False, instant=False): log_interval = self.args.log_interval results = [] n = len(self.test_set) start_time = time.time() for seq_idx, item in enumerate(self.test_set): if instant: score_omiss, score_commiss, lambd, lambd_sim = model.detect_outlier_instant( item['label_seq'], item['time_seq'], item['sim_time_seq'], item['sim_time_idx'], item['sim_time_diffs'], item['time_test'], ) else: score_omiss, score_commiss, lambd, lambd_sim = model.detect_outlier( item['label_seq'], item['time_seq'], item['sim_time_seq'], item['sim_time_idx'], item['sim_time_diffs'], item['time_test'], n_sample=1000 ) df = pd.DataFrame(OrderedDict({ 'seq': seq_idx, 'time': item['time_test'].numpy()[1:], 'score_omiss': score_omiss.numpy(), 'score_commiss': score_commiss.numpy(), 'label': item['label_test'].numpy(), })) if item['id'] is None: df.insert(0, 'id', seq_idx+1) else: df.insert(0, 'id', item['id']) results.append(df) if (seq_idx+1) % log_interval == 0: logging.info(f'Finished detecting outliers in seq {seq_idx+1}/{n} in {(time.time()-start_time):.2f}s') start_time = time.time() results = pd.concat(results) return results def save_model(self, model, name): with open(os.path.join(self.model_path, name), 'wb') as f: torch.save(model.state_dict(), f) def load_model(self, model, name): with open(os.path.join(self.model_path, name), 'rb') as f: model.load_state_dict(torch.load(f)) class ContextDataLoader: def __init__(self, train_set, test_set, label_size, target=1): self.label_size = label_size self.target = target n = len(train_set) n_train = int(n*0.8) n_train_val = n self.train_set = self.convert(train_set[:n_train]) self.val_set = self.convert(train_set[n_train:n_train_val]) self.test_set = self.convert(test_set) def convert(self, seqs): if seqs is None: return None m_t = self.target + 1 def _convert(seq): seq_id = seq.get('id') time_c = seq['time_context'] mark_c = seq['mark_context'] start = seq['start'] stop = seq['stop'] time_t = seq['time_target'] mark_t = seq['mark_target'] assert(util.is_sorted(time_c)) assert(util.is_sorted(time_t)) time = [] mark = [] i_c = 0 i_t = 0 n_c = len(time_c) n_t = len(time_t) assert(n_c == len(mark_c)) assert(n_t == len(mark_t)) while i_c < n_c and i_t < n_t: if time_t[i_t] <= time_c[i_c]: time.append(time_t[i_t]) mark.append(mark_t[i_t]) i_t += 1 else: time.append(time_c[i_c]) mark.append(m_t + mark_c[i_c]) i_c += 1 if i_t < n_t: time.extend(time_t[i_t:]) mark.extend(mark_t[i_t:]) if i_c < n_c: time.extend(time_c[i_c:]) mark.extend(m_t + mark_c[i_c:]) return { 'id': seq_id, 'time': time, 'mark': mark, 'start': start, 'stop': stop, 'time_test': seq.get('time_test'), 'label_test': seq.get('label_test'), 'lambda_x': seq.get('lambda_x'), 't_x': seq.get('t_x'), } return [_convert(seq) for seq in seqs] class NonContextDataLoader(ContextDataLoader): def convert(self, seqs): if seqs is None: return None def _convert(seq): seq_id = seq.get('id') start = seq['start'] stop = seq['stop'] time_t = seq['time_target'] mark_t = seq['mark_target'] assert(util.is_sorted(time_t)) assert(len(time_t) == len(mark_t)) return { 'id': seq_id, 'time': time_t, 'mark': mark_t, 'start': start, 'stop': stop, 'time_test': seq.get('time_test'), 'label_test': seq.get('label_test'), 'lambda_x': seq.get('lambda_x'), 't_x': seq.get('t_x'), } return [_convert(seq) for seq in seqs] class UnlabelContextDataLoader(ContextDataLoader): def convert(self, seqs): if seqs is None: return None m_t = self.target + 1 def _convert(seq): seq_id = seq.get('id') time_c = seq['time_context'] mark_c = seq['mark_context'] start = seq['start'] stop = seq['stop'] time_t = seq['time_target'] mark_t = seq['mark_target'] assert(util.is_sorted(time_c)) assert(util.is_sorted(time_t)) time = [] mark = [] i_c = 0 i_t = 0 n_c = len(time_c) n_t = len(time_t) assert(n_c == len(mark_c)) assert(n_t == len(mark_t)) while i_c < n_c and i_t < n_t: if time_t[i_t] <= time_c[i_c]: time.append(time_t[i_t]) mark.append(mark_t[i_t]) i_t += 1 else: time.append(time_c[i_c]) mark.append(m_t + mark_c[i_c]) i_c += 1 if i_t < n_t: time.extend(time_t[i_t:]) mark.extend(mark_t[i_t:]) if i_c < n_c: time.extend(time_c[i_c:]) mark.extend(m_t + mark_c[i_c:]) assert(seq.get('time_test') is None) assert(seq.get('label_test') is None) if start == time_t[0]: # if starts with a target event # just use it as the start time_test = np.array(time_t) else: # otherwise add a start time_test = np.array(np.concatenate(([start], time_t))) # first event marks the start and is not tested label_test = np.zeros_like(time_test[1:]) return { 'id': seq_id, 'time': time, 'mark': mark, 'start': start, 'stop': stop, 'time_test': time_test, 'label_test': label_test, 'lambda_x': None, 't_x': None, } return [_convert(seq) for seq in seqs]

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 12655, 408, 7442, 13, 5215, 4842, 305, 13, 5215, 4842, 305, 29889, 15755, 408, 302, 29876, 13, 5215, 2897, 13, 5215, 931, 13, 5215, 4036, 13, 5215, 5839, 280, 13, 5215, 12183, 13, 5215, 5844, 13, 5215, 4842, 305, 29889, 20640, 408, 5994, 13, 5215, 11701, 408, 10518, 13, 3166, 16250, 1053, 8170, 287, 21533, 13, 5215, 3667, 13, 13, 1990, 3865, 29924, 3580, 29925, 29898, 15755, 29889, 7355, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3858, 29918, 2311, 29892, 7934, 29918, 2311, 29892, 6389, 29892, 7536, 29922, 8516, 1125, 13, 4706, 2428, 29898, 3059, 29924, 3580, 29925, 29892, 1583, 467, 1649, 2344, 1649, 580, 13, 4706, 1583, 29889, 5085, 353, 6389, 13, 4706, 1583, 29889, 5182, 353, 6389, 29889, 5182, 13, 4706, 1583, 29889, 10141, 353, 6389, 29889, 10141, 13, 4706, 1583, 29889, 18816, 29885, 3398, 353, 302, 29876, 29889, 29903, 335, 29885, 3398, 580, 13, 4706, 1583, 29889, 13161, 29882, 353, 302, 29876, 29889, 29911, 27731, 580, 13, 4706, 1583, 29889, 2695, 11242, 353, 302, 29876, 29889, 6295, 615, 11242, 580, 13, 4706, 1583, 29889, 1643, 29918, 2311, 353, 3858, 29918, 2311, 13, 4706, 1583, 29889, 10892, 29918, 2311, 353, 7934, 29918, 2311, 13, 4706, 1583, 29889, 1949, 29918, 1837, 353, 29871, 29955, 13, 4706, 396, 788, 263, 4266, 1741, 3858, 363, 17865, 13, 4706, 1583, 29889, 6026, 29890, 353, 302, 29876, 29889, 9329, 29898, 1311, 29889, 2344, 29918, 7915, 29898, 7345, 305, 29889, 6310, 29898, 10892, 29918, 2311, 29892, 3858, 29918, 2311, 718, 29871, 29896, 29892, 4742, 29922, 1311, 29889, 10141, 4961, 13, 4706, 1583, 29889, 29956, 353, 302, 29876, 29889, 9329, 29898, 1311, 29889, 2344, 29918, 7915, 29898, 7345, 305, 29889, 6310, 29898, 1311, 29889, 1949, 29918, 1837, 29892, 7934, 29918, 2311, 29892, 7934, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 4961, 13, 4706, 1583, 29889, 29965, 353, 302, 29876, 29889, 9329, 29898, 1311, 29889, 2344, 29918, 7915, 29898, 7345, 305, 29889, 6310, 29898, 1311, 29889, 1949, 29918, 1837, 29892, 7934, 29918, 2311, 29892, 7934, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 4961, 13, 4706, 1583, 29889, 29881, 353, 302, 29876, 29889, 9329, 29898, 7345, 305, 29889, 3298, 359, 29898, 1311, 29889, 1949, 29918, 1837, 29892, 7934, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 876, 13, 4706, 1583, 29889, 29893, 353, 302, 29876, 29889, 9329, 29898, 1311, 29889, 2344, 29918, 7915, 29898, 7345, 305, 29889, 6310, 29898, 1643, 29918, 2311, 29892, 7934, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 4961, 13, 4706, 1583, 29889, 1188, 29918, 29879, 353, 302, 29876, 29889, 9329, 29898, 7345, 305, 29889, 3298, 359, 29898, 1643, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 876, 13, 4706, 1583, 29889, 8382, 353, 7700, 13, 13, 1678, 822, 2069, 29918, 7915, 29898, 1311, 29892, 281, 1125, 13, 4706, 3659, 29894, 353, 29871, 29896, 29889, 847, 5844, 29889, 3676, 29898, 29893, 29889, 2311, 580, 14352, 29896, 2314, 13, 4706, 281, 29889, 29590, 29918, 6278, 4172, 29894, 29892, 3659, 29894, 29897, 13, 4706, 736, 281, 13, 13, 1678, 822, 6287, 29881, 29918, 2695, 11242, 29898, 1311, 29892, 921, 1125, 13, 4706, 269, 353, 4842, 305, 29889, 4548, 29898, 1311, 29889, 1188, 29918, 29879, 29897, 13, 4706, 736, 269, 334, 1583, 29889, 2695, 11242, 29898, 29916, 847, 269, 29897, 13, 13, 1678, 396, 599, 24786, 13, 1678, 822, 2069, 29918, 10892, 29898, 1311, 1125, 13, 4706, 274, 29918, 29873, 353, 4842, 305, 29889, 3298, 359, 29898, 1311, 29889, 10892, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 29897, 13, 4706, 274, 29918, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 29883, 29918, 29873, 29897, 13, 4706, 298, 29918, 29873, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 29883, 29918, 29873, 29897, 13, 4706, 7934, 353, 313, 29883, 29918, 29873, 29892, 298, 29918, 29873, 29892, 274, 3383, 6213, 29892, 6213, 29892, 6213, 29897, 13, 4706, 736, 7934, 13, 13, 1678, 396, 871, 10272, 7934, 3651, 13, 1678, 822, 6375, 29918, 650, 29918, 10568, 29898, 1311, 29892, 3858, 29918, 16304, 29892, 3858, 29892, 260, 29918, 16304, 29892, 260, 29892, 7934, 1125, 13, 4706, 274, 29918, 29873, 29892, 298, 29918, 29873, 29892, 274, 3383, 17117, 17117, 903, 353, 7934, 13, 4706, 5694, 353, 1583, 29889, 29956, 29889, 2922, 16109, 29898, 1643, 29918, 16304, 29897, 718, 1583, 29889, 29965, 29889, 2922, 16109, 29898, 29882, 29918, 29873, 29897, 718, 1583, 29889, 29881, 13, 4706, 474, 353, 1583, 29889, 18816, 29885, 3398, 29898, 7382, 29961, 29900, 29892, 584, 2314, 13, 4706, 285, 353, 1583, 29889, 18816, 29885, 3398, 29898, 7382, 29961, 29896, 29892, 584, 2314, 13, 4706, 503, 353, 1583, 29889, 13161, 29882, 29898, 7382, 29961, 29906, 29892, 584, 2314, 13, 4706, 288, 353, 1583, 29889, 18816, 29885, 3398, 29898, 7382, 29961, 29941, 29892, 584, 2314, 13, 4706, 474, 29918, 353, 1583, 29889, 18816, 29885, 3398, 29898, 7382, 29961, 29946, 29892, 584, 2314, 13, 4706, 285, 29918, 353, 1583, 29889, 18816, 29885, 3398, 29898, 7382, 29961, 29945, 29892, 584, 2314, 13, 4706, 19471, 353, 1583, 29889, 2695, 11242, 29898, 7382, 29961, 29953, 29892, 584, 2314, 13, 4706, 274, 353, 285, 334, 274, 29918, 29873, 718, 474, 334, 503, 13, 4706, 274, 29918, 353, 285, 29918, 334, 274, 29918, 718, 474, 29918, 334, 503, 13, 4706, 274, 29918, 29873, 353, 274, 29918, 718, 313, 29883, 448, 274, 19925, 334, 4842, 305, 29889, 4548, 6278, 4181, 334, 313, 29873, 448, 260, 29918, 16304, 876, 13, 4706, 298, 29918, 29873, 353, 288, 334, 1583, 29889, 13161, 29882, 29898, 29883, 29918, 29873, 29897, 13, 4706, 7934, 353, 313, 29883, 29918, 29873, 29892, 298, 29918, 29873, 29892, 274, 3383, 274, 29892, 19471, 29892, 288, 29897, 13, 4706, 736, 7934, 13, 13, 1678, 822, 298, 29918, 517, 29918, 29880, 1117, 29881, 29898, 1311, 29892, 298, 1125, 13, 4706, 301, 1117, 29881, 29918, 29873, 25949, 353, 298, 29889, 2922, 16109, 29898, 1311, 29889, 29893, 29889, 29873, 3101, 13, 4706, 301, 1117, 29881, 353, 1583, 29889, 7052, 29881, 29918, 2695, 11242, 29898, 29880, 1117, 29881, 29918, 29873, 25949, 29897, 13, 4706, 736, 301, 1117, 29881, 718, 29871, 29896, 29872, 29899, 29929, 13, 13, 1678, 396, 10272, 405, 2208, 6410, 2183, 263, 3858, 29918, 11762, 322, 263, 931, 29918, 11762, 13, 1678, 396, 1027, 29918, 2230, 29918, 11762, 338, 1027, 29880, 7964, 3064, 363, 20602, 10160, 13, 1678, 822, 1480, 5081, 29898, 1311, 29892, 3858, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 11455, 29918, 4102, 1125, 13, 4706, 302, 353, 7431, 29898, 2230, 29918, 11762, 29897, 13, 4706, 396, 6314, 5922, 1492, 1156, 1269, 1741, 13, 4706, 396, 1833, 1741, 338, 382, 3267, 17456, 13, 4706, 599, 29918, 29883, 353, 4842, 305, 29889, 3298, 359, 29898, 29876, 29899, 29896, 29892, 1583, 29889, 10892, 29918, 2311, 29892, 4742, 29922, 1311, 29889, 10141, 29897, 13, 4706, 599, 29918, 29883, 29918, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 497, 29918, 29883, 29897, 13, 4706, 599, 29918, 4181, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 497, 29918, 29883, 29897, 13, 4706, 599, 29918, 29877, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 497, 29918, 29883, 29897, 13, 4706, 599, 29918, 29882, 29918, 29873, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 497, 29918, 29883, 29897, 13, 4706, 7934, 353, 1583, 29889, 2344, 29918, 10892, 580, 13, 4706, 396, 350, 3267, 1741, 338, 29871, 29900, 472, 931, 29871, 29900, 13, 4706, 3858, 29918, 16304, 353, 1583, 29889, 6026, 29890, 7503, 29892, 3858, 29918, 11762, 29961, 29900, 29962, 1822, 29879, 802, 29872, 911, 580, 13, 4706, 260, 29918, 16304, 353, 931, 29918, 11762, 29961, 29900, 29962, 13, 4706, 363, 474, 297, 3464, 29898, 29896, 29892, 29876, 1125, 13, 9651, 3858, 353, 1583, 29889, 6026, 29890, 7503, 29892, 3858, 29918, 11762, 29961, 29875, 29962, 1822, 29879, 802, 29872, 911, 580, 13, 9651, 260, 353, 931, 29918, 11762, 29961, 29875, 29962, 13, 9651, 7934, 353, 1583, 29889, 11333, 29918, 650, 29918, 10568, 29898, 1643, 29918, 16304, 29892, 3858, 29892, 260, 29918, 16304, 29892, 260, 29892, 7934, 29897, 13, 9651, 17117, 599, 29918, 29882, 29918, 29873, 29961, 29875, 29899, 29896, 29892, 584, 1402, 599, 29918, 29883, 29918, 29961, 29875, 29899, 29896, 29892, 584, 1402, 599, 29918, 29883, 29961, 29875, 29899, 29896, 29892, 584, 1402, 599, 29918, 4181, 29961, 29875, 29899, 29896, 29892, 584, 1402, 599, 29918, 29877, 29961, 29875, 29899, 29896, 29892, 584, 29962, 353, 7934, 13, 9651, 3858, 29918, 16304, 353, 3858, 13, 9651, 260, 29918, 16304, 353, 260, 13, 4706, 565, 11455, 29918, 4102, 29901, 13, 9651, 1812, 353, 29871, 29896, 13, 4706, 1683, 29901, 13, 9651, 1812, 353, 29871, 29900, 13, 4706, 3646, 353, 1583, 29889, 5182, 13, 4706, 298, 29918, 29873, 353, 599, 29918, 29882, 29918, 29873, 29961, 28060, 13018, 29896, 29892, 584, 29962, 13, 4706, 565, 298, 29918, 29873, 29889, 12181, 29961, 29900, 29962, 1405, 29871, 29900, 29901, 13, 9651, 301, 1117, 29881, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 29882, 29918, 29873, 29897, 13, 9651, 1840, 29896, 353, 313, 29880, 1117, 29881, 29961, 1643, 29918, 11762, 15625, 29896, 29974, 28060, 1125, 29899, 29896, 29962, 1275, 3646, 29892, 3646, 29899, 29896, 14664, 1188, 2141, 2083, 580, 13, 4706, 1683, 29901, 13, 9651, 1840, 29896, 353, 29871, 29900, 13, 4706, 274, 29918, 3601, 353, 599, 29918, 29883, 29918, 29961, 3601, 29918, 2230, 29918, 13140, 29892, 584, 29962, 718, 320, 13, 18884, 313, 497, 29918, 29883, 29961, 3601, 29918, 2230, 29918, 13140, 29892, 584, 29962, 448, 599, 29918, 29883, 29918, 29961, 3601, 29918, 2230, 29918, 13140, 29892, 584, 2314, 334, 320, 13, 18884, 4842, 305, 29889, 4548, 6278, 497, 29918, 4181, 29961, 3601, 29918, 2230, 29918, 13140, 29892, 584, 29962, 334, 313, 3601, 29918, 2230, 29918, 11762, 448, 931, 29918, 11762, 29961, 3601, 29918, 2230, 29918, 13140, 2314, 7503, 29892, 6213, 2314, 13, 4706, 298, 29918, 3601, 353, 599, 29918, 29877, 29961, 3601, 29918, 2230, 29918, 13140, 29892, 584, 29962, 334, 1583, 29889, 13161, 29882, 29898, 29883, 29918, 3601, 29897, 13, 4706, 301, 1117, 29881, 29918, 3601, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 29882, 29918, 3601, 29897, 13, 4706, 1840, 29906, 353, 301, 1117, 29881, 29918, 3601, 7503, 29892, 3646, 29899, 29896, 1822, 12676, 580, 334, 313, 2230, 29918, 11762, 14352, 29896, 29962, 448, 931, 29918, 11762, 29961, 29900, 2314, 13, 4706, 1480, 5081, 353, 1840, 29896, 448, 1840, 29906, 13, 13, 4706, 736, 448, 1188, 5081, 29892, 599, 29918, 29883, 29892, 599, 29918, 29883, 3383, 599, 29918, 4181, 29892, 599, 29918, 29877, 29892, 599, 29918, 29882, 29918, 29873, 29892, 298, 29918, 3601, 13, 13, 1678, 822, 6375, 29898, 1311, 29892, 3858, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 11455, 29918, 4102, 1125, 13, 4706, 1121, 353, 1583, 29889, 1188, 5081, 29898, 1643, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 11455, 29918, 4102, 29897, 13, 4706, 736, 1121, 29961, 29900, 1822, 2083, 580, 13, 13, 1678, 822, 6459, 29918, 449, 4926, 29898, 1311, 29892, 3858, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 1027, 29918, 2230, 29918, 12765, 29879, 29892, 931, 29918, 1688, 29892, 302, 29918, 11249, 1125, 13, 4706, 411, 4842, 305, 29889, 1217, 29918, 5105, 7295, 13, 9651, 1480, 5081, 29892, 599, 29918, 29883, 29892, 599, 29918, 29883, 3383, 599, 29918, 4181, 29892, 599, 29918, 29877, 29892, 599, 29918, 29882, 29918, 29873, 29892, 298, 29918, 3601, 353, 1583, 29889, 1188, 5081, 29898, 13, 462, 1678, 3858, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 7700, 29897, 13, 9651, 302, 353, 7431, 29898, 2230, 29918, 1688, 29897, 13, 9651, 286, 353, 7431, 29898, 2230, 29918, 11762, 29897, 13, 9651, 8158, 353, 4842, 305, 29889, 3298, 359, 29898, 29876, 29899, 29896, 29892, 4742, 29922, 1311, 29889, 10141, 29897, 13, 9651, 3646, 353, 1583, 29889, 5182, 13, 9651, 432, 353, 29871, 29900, 13, 9651, 18696, 353, 4842, 305, 29889, 3298, 359, 29898, 29876, 29918, 11249, 29892, 4742, 29922, 1311, 29889, 10141, 29897, 13, 9651, 363, 474, 297, 3464, 29898, 29876, 29899, 29896, 1125, 13, 18884, 260, 29918, 28060, 353, 931, 29918, 1688, 29961, 29875, 29962, 13, 18884, 260, 29918, 355, 353, 931, 29918, 1688, 29961, 29875, 29974, 29896, 29962, 13, 18884, 18696, 29889, 29590, 23538, 29873, 29918, 28060, 29892, 260, 29918, 355, 29897, 13, 18884, 396, 1284, 278, 937, 1741, 1156, 260, 29918, 28060, 13, 18884, 1550, 432, 529, 286, 322, 931, 29918, 11762, 29961, 29926, 29962, 5277, 260, 29918, 28060, 29901, 13, 462, 1678, 432, 4619, 29871, 29896, 13, 18884, 4974, 29898, 2230, 29918, 11762, 29961, 29926, 29962, 1405, 260, 29918, 28060, 29897, 13, 18884, 4974, 29898, 2230, 29918, 11762, 29961, 29926, 29899, 29896, 29962, 5277, 260, 29918, 28060, 29897, 13, 18884, 26832, 29881, 353, 29871, 29900, 13, 18884, 413, 353, 432, 13, 18884, 396, 8147, 365, 2269, 8424, 3538, 10768, 287, 491, 4959, 13, 18884, 1550, 413, 529, 286, 322, 931, 29918, 11762, 29961, 29895, 29899, 29896, 29962, 5277, 260, 29918, 355, 29901, 13, 462, 1678, 18696, 29918, 262, 29918, 3881, 353, 18696, 15625, 1372, 1405, 931, 29918, 11762, 29961, 29895, 29899, 29896, 2314, 669, 313, 1372, 5277, 931, 29918, 11762, 29961, 29895, 2314, 29962, 13, 462, 1678, 565, 7431, 29898, 1372, 29918, 262, 29918, 3881, 29897, 1405, 29871, 29900, 29901, 13, 462, 4706, 274, 353, 599, 29918, 29883, 29961, 29895, 29899, 29896, 29892, 17531, 13, 462, 4706, 274, 29918, 353, 599, 29918, 29883, 29918, 29961, 29895, 29899, 29896, 29892, 17531, 13, 462, 4706, 19471, 353, 599, 29918, 4181, 29961, 29895, 29899, 29896, 29892, 17531, 13, 462, 4706, 288, 353, 599, 29918, 29877, 29961, 29895, 29899, 29896, 29892, 17531, 13, 462, 4706, 274, 29918, 1372, 353, 274, 29918, 718, 313, 29883, 448, 274, 19925, 334, 4842, 305, 29889, 4548, 6278, 4181, 29961, 8516, 29892, 584, 29962, 334, 313, 1372, 29918, 262, 29918, 3881, 7503, 29892, 6213, 29962, 448, 931, 29918, 11762, 29961, 29895, 29899, 29896, 12622, 13, 462, 4706, 298, 29918, 1372, 353, 288, 334, 1583, 29889, 13161, 29882, 29898, 29883, 29918, 1372, 29897, 13, 462, 4706, 301, 1117, 29881, 29918, 497, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 29882, 29918, 1372, 29897, 13, 462, 4706, 301, 1117, 29881, 353, 301, 1117, 29881, 29918, 497, 7503, 29892, 5182, 29899, 29896, 29962, 13, 462, 4706, 26832, 29881, 4619, 301, 1117, 29881, 29889, 2083, 580, 847, 302, 29918, 11249, 13, 462, 1678, 413, 4619, 29871, 29896, 13, 18884, 26832, 29881, 334, 29922, 313, 29873, 29918, 355, 448, 260, 29918, 28060, 29897, 13, 18884, 8158, 29961, 29875, 29962, 353, 26832, 29881, 13, 9651, 301, 1117, 29881, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 497, 29918, 29882, 29918, 29873, 29897, 7503, 29899, 29896, 29962, 13, 9651, 301, 1117, 29881, 29918, 3601, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 29882, 29918, 3601, 29897, 13, 9651, 736, 8158, 29892, 448, 13628, 29892, 301, 1117, 29881, 29892, 301, 1117, 29881, 29918, 3601, 13, 13, 1678, 822, 6459, 29918, 449, 4926, 29918, 2611, 424, 29898, 1311, 29892, 3858, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 1027, 29918, 2230, 29918, 12765, 29879, 29892, 931, 29918, 1688, 1125, 13, 4706, 411, 4842, 305, 29889, 1217, 29918, 5105, 7295, 13, 9651, 1480, 5081, 29892, 599, 29918, 29883, 29892, 599, 29918, 29883, 3383, 599, 29918, 4181, 29892, 599, 29918, 29877, 29892, 599, 29918, 29882, 29918, 29873, 29892, 298, 29918, 3601, 353, 1583, 29889, 1188, 5081, 29898, 13, 462, 1678, 3858, 29918, 11762, 29892, 931, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 11762, 29892, 1027, 29918, 2230, 29918, 13140, 29892, 7700, 29897, 13, 9651, 302, 353, 7431, 29898, 2230, 29918, 1688, 29897, 13, 9651, 286, 353, 7431, 29898, 2230, 29918, 11762, 29897, 13, 9651, 8158, 353, 4842, 305, 29889, 3298, 359, 29898, 29876, 29899, 29896, 29892, 4742, 29922, 1311, 29889, 10141, 29897, 13, 9651, 3646, 353, 1583, 29889, 5182, 13, 9651, 432, 353, 29871, 29900, 13, 9651, 363, 474, 297, 3464, 29898, 29876, 29899, 29896, 1125, 13, 18884, 260, 29918, 355, 353, 931, 29918, 1688, 29961, 29875, 29974, 29896, 29962, 13, 18884, 565, 260, 29918, 355, 1275, 29871, 29900, 29901, 13, 462, 1678, 432, 353, 29871, 29896, 13, 18884, 1683, 29901, 13, 462, 1678, 396, 1284, 278, 937, 1741, 472, 29914, 7045, 260, 29918, 355, 13, 462, 1678, 1550, 432, 529, 286, 322, 931, 29918, 11762, 29961, 29926, 29962, 529, 260, 29918, 355, 29901, 13, 462, 4706, 432, 4619, 29871, 29896, 13, 462, 1678, 4974, 29898, 2230, 29918, 11762, 29961, 29926, 29962, 6736, 260, 29918, 355, 29897, 13, 462, 1678, 396, 1833, 1741, 1434, 260, 29918, 355, 13, 462, 1678, 4974, 29898, 2230, 29918, 11762, 29961, 29926, 29899, 29896, 29962, 529, 260, 29918, 355, 29897, 13, 18884, 274, 353, 599, 29918, 29883, 29961, 29926, 29899, 29896, 29892, 17531, 13, 18884, 274, 29918, 353, 599, 29918, 29883, 29918, 29961, 29926, 29899, 29896, 29892, 17531, 13, 18884, 19471, 353, 599, 29918, 4181, 29961, 29926, 29899, 29896, 29892, 17531, 13, 18884, 288, 353, 599, 29918, 29877, 29961, 29926, 29899, 29896, 29892, 17531, 13, 18884, 274, 29918, 1372, 353, 274, 29918, 718, 313, 29883, 448, 274, 19925, 334, 4842, 305, 29889, 4548, 6278, 4181, 334, 313, 29873, 29918, 355, 448, 931, 29918, 11762, 29961, 29926, 29899, 29896, 12622, 13, 18884, 298, 29918, 1372, 353, 288, 334, 1583, 29889, 13161, 29882, 29898, 29883, 29918, 1372, 29897, 13, 18884, 301, 1117, 29881, 29918, 497, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 29882, 29918, 1372, 29897, 13, 18884, 301, 1117, 29881, 353, 301, 1117, 29881, 29918, 497, 29961, 5182, 29899, 29896, 29962, 13, 18884, 8158, 29961, 29875, 29962, 353, 301, 1117, 29881, 13, 9651, 301, 1117, 29881, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 497, 29918, 29882, 29918, 29873, 29897, 7503, 29899, 29896, 29962, 13, 9651, 301, 1117, 29881, 29918, 3601, 353, 1583, 29889, 29882, 29918, 517, 29918, 29880, 1117, 29881, 29898, 29882, 29918, 3601, 29897, 13, 9651, 736, 8158, 29892, 448, 13628, 29892, 301, 1117, 29881, 29892, 301, 1117, 29881, 29918, 3601, 13, 13, 1990, 8125, 3260, 29901, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 7945, 29918, 842, 29892, 659, 29918, 842, 29892, 1243, 29918, 842, 29892, 4078, 29918, 2084, 29892, 6389, 1125, 13, 4706, 1583, 29889, 5085, 353, 6389, 13, 4706, 1583, 29889, 10141, 353, 6389, 29889, 10141, 13, 4706, 1583, 29889, 5182, 353, 6389, 29889, 5182, 13, 4706, 1583, 29889, 3601, 29918, 2230, 29918, 12765, 29879, 353, 6213, 13, 4706, 1583, 29889, 14968, 29918, 842, 29892, 931, 29918, 14968, 29892, 2302, 29918, 14968, 353, 1583, 29889, 19125, 29898, 14968, 29918, 842, 29892, 6389, 29889, 11249, 29918, 18056, 4926, 29897, 13, 4706, 1583, 29889, 791, 29918, 842, 29892, 931, 29918, 791, 29892, 2302, 29918, 791, 353, 1583, 29889, 19125, 29898, 791, 29918, 842, 29892, 6389, 29889, 11249, 29918, 18056, 4926, 29897, 13, 4706, 1583, 29889, 1688, 29918, 842, 29892, 17117, 903, 353, 1583, 29889, 19125, 29898, 1688, 29918, 842, 29892, 6389, 29889, 11249, 29918, 18056, 4926, 29897, 13, 4706, 1583, 29889, 2015, 18162, 353, 313, 2230, 29918, 14968, 29974, 2230, 29918, 791, 6802, 29898, 2798, 29918, 14968, 29974, 2798, 29918, 791, 29897, 13, 4706, 1583, 29889, 6008, 353, 29871, 29896, 13, 4706, 1583, 29889, 4299, 29918, 2084, 353, 4078, 29918, 2084, 13, 4706, 1583, 29889, 17281, 29918, 4102, 353, 6389, 29889, 17281, 29918, 4102, 13, 13, 1678, 822, 19012, 29898, 1311, 29892, 848, 29918, 842, 29892, 2999, 29892, 2923, 29918, 11249, 29918, 2311, 29922, 29896, 29900, 29900, 29892, 4943, 29922, 8824, 29892, 4331, 29922, 8516, 1125, 13, 4706, 565, 848, 29918, 842, 338, 6213, 29901, 13, 9651, 736, 6213, 29892, 6213, 29892, 6213, 13, 4706, 1962, 353, 5159, 13, 4706, 3001, 29918, 2230, 353, 29871, 29900, 13, 4706, 3001, 29918, 2798, 353, 29871, 29900, 13, 4706, 363, 19359, 297, 848, 29918, 842, 29901, 13, 9651, 3858, 29918, 11762, 353, 4842, 305, 29889, 20158, 29898, 13, 18884, 7442, 29889, 535, 29883, 2579, 403, 3552, 29961, 29900, 1402, 19359, 1839, 3502, 7464, 518, 29900, 2314, 511, 13, 18884, 26688, 29922, 7345, 305, 29889, 5426, 29892, 13, 18884, 4742, 29922, 1311, 29889, 10141, 13, 9651, 1723, 13, 9651, 931, 29918, 11762, 353, 4842, 305, 29889, 20158, 29898, 13, 18884, 7442, 29889, 535, 29883, 2579, 403, 3552, 29961, 11762, 1839, 2962, 2033, 1402, 19359, 1839, 2230, 7464, 518, 11762, 1839, 9847, 2033, 2314, 511, 13, 18884, 26688, 29922, 7345, 305, 29889, 7411, 29892, 13, 18884, 4742, 29922, 1311, 29889, 10141, 13, 9651, 1723, 13, 9651, 302, 353, 7431, 29898, 2230, 29918, 11762, 29897, 13, 9651, 260, 29900, 353, 19359, 1839, 2962, 2033, 13, 9651, 260, 29876, 353, 19359, 1839, 9847, 2033, 13, 9651, 3001, 29918, 2230, 4619, 260, 29876, 448, 260, 29900, 13, 9651, 3001, 29918, 2798, 4619, 313, 1643, 29918, 11762, 1275, 29871, 29896, 467, 2083, 580, 13, 9651, 565, 4943, 29901, 13, 18884, 1027, 29918, 2230, 29918, 11762, 353, 4842, 305, 29889, 279, 927, 29898, 29873, 29900, 29892, 260, 29876, 29892, 4331, 29892, 4742, 29922, 1311, 29889, 10141, 29897, 13, 18884, 1027, 29918, 2230, 29918, 13140, 353, 4842, 305, 29889, 3298, 359, 29918, 4561, 29898, 3601, 29918, 2230, 29918, 11762, 29892, 26688, 29922, 7345, 305, 29889, 5426, 29897, 13, 9651, 1683, 29901, 13, 18884, 1027, 29918, 2230, 29918, 11762, 353, 931, 29918, 11762, 29889, 1482, 29918, 6310, 29898, 29876, 334, 2999, 29897, 13, 18884, 1027, 29918, 2230, 29918, 11762, 29889, 29590, 23538, 29873, 29900, 29892, 260, 29876, 29897, 13, 18884, 1027, 29918, 2230, 29918, 13140, 353, 3858, 29918, 11762, 29889, 1482, 29918, 3298, 359, 29898, 29876, 334, 2999, 29897, 13, 9651, 363, 432, 297, 3464, 29898, 29876, 448, 29871, 29896, 1125, 13, 18884, 1027, 29918, 2230, 29918, 13140, 15625, 3601, 29918, 2230, 29918, 11762, 1405, 931, 29918, 11762, 29961, 29926, 2314, 669, 13, 462, 632, 313, 3601, 29918, 2230, 29918, 11762, 5277, 931, 29918, 11762, 29961, 29926, 718, 29871, 29896, 2314, 13, 462, 632, 4514, 353, 432, 13, 9651, 565, 1583, 29889, 3601, 29918, 2230, 29918, 12765, 29879, 338, 6213, 29901, 13, 18884, 5694, 353, 1027, 29918, 2230, 29918, 11762, 29889, 1482, 29918, 6310, 29898, 12765, 29918, 11249, 29918, 2311, 29897, 13, 18884, 5694, 29889, 735, 1112, 2556, 23538, 29896, 29897, 13, 18884, 1583, 29889, 3601, 29918, 2230, 29918, 12765, 29879, 29892, 903, 353, 4842, 305, 29889, 6605, 29898, 7382, 29897, 13, 9651, 565, 19359, 1839, 2230, 29918, 1688, 2033, 338, 6213, 29901, 13, 18884, 931, 29918, 1688, 353, 6213, 13, 9651, 1683, 29901, 13, 18884, 931, 29918, 1688, 353, 4842, 305, 29889, 20158, 29898, 13, 462, 1678, 19359, 1839, 2230, 29918, 1688, 7464, 13, 462, 1678, 26688, 29922, 7345, 305, 29889, 7411, 29892, 13, 462, 1678, 4742, 29922, 1311, 29889, 10141, 29897, 13, 9651, 565, 19359, 1839, 1643, 29918, 1688, 2033, 338, 6213, 29901, 13, 18884, 3858, 29918, 1688, 353, 6213, 13, 9651, 1683, 29901, 13, 18884, 3858, 29918, 1688, 353, 4842, 305, 29889, 20158, 29898, 13, 462, 1678, 19359, 1839, 1643, 29918, 1688, 7464, 13, 462, 1678, 4742, 29922, 1311, 29889, 10141, 29892, 13, 18884, 1723, 13, 9651, 2944, 353, 426, 13, 18884, 525, 333, 2396, 19359, 1839, 333, 7464, 13, 18884, 525, 1643, 29918, 11762, 2396, 3858, 29918, 11762, 29892, 13, 18884, 525, 2230, 29918, 11762, 2396, 931, 29918, 11762, 29892, 13, 18884, 525, 3601, 29918, 2230, 29918, 11762, 2396, 1027, 29918, 2230, 29918, 11762, 29892, 13, 18884, 525, 3601, 29918, 2230, 29918, 13140, 2396, 1027, 29918, 2230, 29918, 13140, 29892, 13, 18884, 525, 3601, 29918, 2230, 29918, 12765, 29879, 29915, 584, 1583, 29889, 3601, 29918, 2230, 29918, 12765, 29879, 29892, 13, 18884, 525, 2230, 29918, 1688, 2396, 931, 29918, 1688, 29892, 13, 18884, 525, 1643, 29918, 1688, 2396, 3858, 29918, 1688, 29892, 13, 18884, 525, 2892, 29918, 29916, 2396, 19359, 1839, 2892, 29918, 29916, 7464, 13, 18884, 525, 29873, 29918, 29916, 2396, 19359, 1839, 29873, 29918, 29916, 7464, 13, 9651, 500, 13, 9651, 1962, 29889, 4397, 29898, 667, 29897, 13, 4706, 736, 1962, 29892, 3001, 29918, 2230, 29892, 3001, 29918, 2798, 13, 13, 1678, 822, 7945, 29918, 650, 29918, 1022, 2878, 29898, 1311, 29892, 1904, 29892, 7945, 29918, 842, 29892, 5994, 3950, 1125, 13, 4706, 1480, 29918, 19207, 353, 1583, 29889, 5085, 29889, 1188, 29918, 19207, 13, 4706, 3001, 29918, 6758, 353, 29871, 29900, 13, 4706, 3001, 29918, 1949, 29918, 11762, 353, 7431, 29898, 14968, 29918, 842, 29897, 13, 4706, 1369, 29918, 2230, 353, 931, 29889, 2230, 580, 13, 4706, 363, 19359, 29918, 13140, 29892, 2944, 297, 26985, 29898, 14968, 29918, 842, 1125, 13, 9651, 5994, 3950, 29889, 9171, 29918, 5105, 580, 13, 9651, 6410, 353, 1904, 29898, 667, 1839, 1643, 29918, 11762, 7464, 13, 462, 308, 2944, 1839, 2230, 29918, 11762, 7464, 13, 462, 308, 2944, 1839, 3601, 29918, 2230, 29918, 11762, 7464, 13, 462, 308, 2944, 1839, 3601, 29918, 2230, 29918, 13140, 7464, 13, 462, 308, 7700, 29897, 13, 9651, 6410, 29889, 1627, 1328, 580, 13, 9651, 5994, 3950, 29889, 10568, 580, 13, 9651, 3001, 29918, 6758, 4619, 6410, 29889, 667, 580, 13, 9651, 565, 19359, 29918, 13140, 1273, 1480, 29918, 19207, 1275, 29871, 29900, 322, 19359, 29918, 13140, 1405, 29871, 29900, 29901, 13, 18884, 3151, 29918, 6758, 353, 3001, 29918, 6758, 847, 1480, 29918, 19207, 13, 18884, 560, 28170, 353, 931, 29889, 2230, 580, 448, 1369, 29918, 2230, 13, 18884, 12183, 29889, 3888, 877, 29989, 12365, 29945, 29881, 6822, 25641, 29945, 29881, 29913, 19359, 29879, 891, 525, 13, 462, 632, 525, 1516, 29914, 11762, 12365, 29945, 29889, 29906, 29888, 29913, 891, 525, 13, 462, 632, 525, 6758, 12365, 29945, 29889, 29906, 29888, 29913, 891, 4286, 4830, 29898, 13, 462, 462, 19359, 29918, 13140, 29892, 3001, 29918, 1949, 29918, 11762, 29892, 13, 462, 462, 560, 28170, 334, 29871, 29896, 29900, 29900, 29900, 847, 1480, 29918, 19207, 29892, 3151, 29918, 6758, 876, 13, 18884, 3001, 29918, 6758, 353, 29871, 29900, 13, 18884, 1369, 29918, 2230, 353, 931, 29889, 2230, 580, 13, 13, 1678, 822, 7945, 29898, 1311, 29892, 1904, 29892, 21502, 12168, 29922, 8516, 29892, 671, 29918, 497, 29918, 1272, 29922, 8824, 29892, 1024, 543, 4299, 29889, 415, 29908, 1125, 13, 4706, 1900, 29918, 791, 29918, 6758, 353, 6213, 13, 4706, 5994, 3950, 353, 5994, 29889, 3253, 314, 29898, 4299, 29889, 16744, 3285, 13, 462, 1669, 301, 29878, 29922, 1311, 29889, 5085, 29889, 29212, 29897, 13, 4706, 565, 21502, 12168, 338, 6213, 29901, 13, 9651, 4688, 29918, 9847, 353, 5852, 13, 9651, 21502, 12168, 353, 1583, 29889, 5085, 29889, 1022, 2878, 29879, 13, 4706, 1683, 29901, 13, 9651, 4688, 29918, 9847, 353, 7700, 13, 4706, 363, 21502, 305, 297, 3464, 29898, 29896, 29892, 21502, 12168, 29974, 29896, 1125, 13, 9651, 21502, 305, 29918, 2962, 29918, 2230, 353, 931, 29889, 2230, 580, 13, 9651, 565, 671, 29918, 497, 29918, 1272, 29901, 13, 18884, 7945, 29918, 842, 353, 1583, 29889, 14968, 29918, 842, 718, 1583, 29889, 791, 29918, 842, 13, 9651, 1683, 29901, 13, 18884, 7945, 29918, 842, 353, 1583, 29889, 14968, 29918, 842, 13, 9651, 1583, 29889, 14968, 29918, 650, 29918, 1022, 2878, 29898, 4299, 29892, 7945, 29918, 842, 29892, 5994, 3950, 29897, 13, 9651, 659, 29918, 6758, 353, 1583, 29889, 24219, 403, 29898, 4299, 29897, 13, 9651, 12183, 29889, 3888, 877, 29899, 29915, 334, 29871, 29947, 29929, 29897, 13, 9651, 12183, 29889, 3888, 877, 29989, 1095, 310, 21502, 305, 12365, 29941, 29881, 29913, 891, 931, 29901, 12365, 29945, 29889, 29906, 29888, 29913, 29879, 891, 525, 13, 462, 308, 525, 3084, 6410, 12365, 29888, 29913, 891, 4286, 4830, 29898, 13, 462, 632, 21502, 305, 29892, 313, 2230, 29889, 2230, 580, 448, 21502, 305, 29918, 2962, 29918, 2230, 511, 13, 462, 632, 659, 29918, 6758, 876, 13, 9651, 12183, 29889, 3888, 877, 29899, 29915, 334, 29871, 29947, 29929, 29897, 13, 9651, 565, 1900, 29918, 791, 29918, 6758, 338, 6213, 470, 659, 29918, 6758, 529, 1900, 29918, 791, 29918, 6758, 29901, 13, 18884, 1583, 29889, 7620, 29918, 4299, 29898, 4299, 29892, 1024, 29897, 13, 18884, 1900, 29918, 791, 29918, 6758, 353, 659, 29918, 6758, 13, 9651, 25342, 4688, 29918, 9847, 29901, 13, 18884, 21502, 12168, 353, 21502, 305, 448, 29871, 29896, 13, 18884, 2867, 13, 4706, 565, 1900, 29918, 791, 29918, 6758, 29901, 13, 9651, 1583, 29889, 1359, 29918, 4299, 29898, 4299, 29892, 1024, 29897, 13, 4706, 736, 1900, 29918, 791, 29918, 6758, 29892, 21502, 12168, 13, 13, 1678, 822, 14707, 29898, 1311, 29892, 1904, 1125, 13, 4706, 3001, 29918, 6758, 353, 29871, 29900, 13, 4706, 363, 19359, 29918, 13140, 29892, 2944, 297, 26985, 29898, 1311, 29889, 791, 29918, 842, 1125, 13, 9651, 6410, 353, 1904, 29898, 13, 18884, 2944, 1839, 1643, 29918, 11762, 7464, 13, 18884, 2944, 1839, 2230, 29918, 11762, 7464, 13, 18884, 2944, 1839, 3601, 29918, 2230, 29918, 11762, 7464, 13, 18884, 2944, 1839, 3601, 29918, 2230, 29918, 13140, 7464, 13, 18884, 1583, 29889, 17281, 29918, 4102, 13, 9651, 1723, 13, 9651, 3001, 29918, 6758, 4619, 6410, 29889, 667, 580, 13, 4706, 736, 3001, 29918, 6758, 13, 13, 1678, 822, 4188, 22342, 29898, 1311, 29892, 1904, 29892, 8783, 1125, 13, 4706, 3001, 29918, 6758, 353, 29871, 29900, 13, 4706, 363, 19359, 29918, 13140, 29892, 2944, 297, 26985, 29898, 24713, 1125, 13, 9651, 6410, 353, 1904, 29898, 13, 18884, 2944, 1839, 1643, 29918, 11762, 7464, 13, 18884, 2944, 1839, 2230, 29918, 11762, 7464, 13, 18884, 2944, 1839, 3601, 29918, 2230, 29918, 11762, 7464, 13, 18884, 2944, 1839, 3601, 29918, 2230, 29918, 13140, 7464, 13, 18884, 1583, 29889, 17281, 29918, 4102, 13, 9651, 1723, 13, 9651, 3001, 29918, 6758, 4619, 6410, 29889, 667, 580, 13, 4706, 736, 3001, 29918, 6758, 13, 13, 1678, 822, 6459, 29918, 449, 4926, 29898, 1311, 29892, 1904, 29892, 4744, 29922, 8824, 29892, 14426, 29922, 8824, 1125, 13, 4706, 1480, 29918, 19207, 353, 1583, 29889, 5085, 29889, 1188, 29918, 19207, 13, 4706, 2582, 353, 5159, 13, 4706, 302, 353, 7431, 29898, 1311, 29889, 1688, 29918, 842, 29897, 13, 4706, 1369, 29918, 2230, 353, 931, 29889, 2230, 580, 13, 4706, 363, 19359, 29918, 13140, 29892, 2944, 297, 26985, 29898, 1311, 29889, 1688, 29918, 842, 1125, 13, 9651, 565, 14426, 29901, 13, 18884, 8158, 29918, 290, 790, 29892, 8158, 29918, 2055, 790, 29892, 301, 1117, 29881, 29892, 301, 1117, 29881, 29918, 3601, 353, 1904, 29889, 4801, 522, 29918, 449, 4926, 29918, 2611, 424, 29898, 13, 462, 1678, 2944, 1839, 1643, 29918, 11762, 7464, 13, 462, 1678, 2944, 1839, 2230, 29918, 11762, 7464, 13, 462, 1678, 2944, 1839, 3601, 29918, 2230, 29918, 11762, 7464, 13, 462, 1678, 2944, 1839, 3601, 29918, 2230, 29918, 13140, 7464, 13, 462, 1678, 2944, 1839, 3601, 29918, 2230, 29918, 12765, 29879, 7464, 13, 462, 1678, 2944, 1839, 2230, 29918, 1688, 7464, 13, 18884, 1723, 13, 9651, 1683, 29901, 13, 18884, 8158, 29918, 290, 790, 29892, 8158, 29918, 2055, 790, 29892, 301, 1117, 29881, 29892, 301, 1117, 29881, 29918, 3601, 353, 1904, 29889, 4801, 522, 29918, 449, 4926, 29898, 13, 462, 1678, 2944, 1839, 1643, 29918, 11762, 7464, 13, 462, 1678, 2944, 1839, 2230, 29918, 11762, 7464, 13, 462, 1678, 2944, 1839, 3601, 29918, 2230, 29918, 11762, 7464, 13, 462, 1678, 2944, 1839, 3601, 29918, 2230, 29918, 13140, 7464, 13, 462, 1678, 2944, 1839, 3601, 29918, 2230, 29918, 12765, 29879, 7464, 13, 462, 1678, 2944, 1839, 2230, 29918, 1688, 7464, 13, 462, 1678, 302, 29918, 11249, 29922, 29896, 29900, 29900, 29900, 13, 18884, 1723, 13, 9651, 4489, 353, 10518, 29889, 17271, 29898, 7514, 287, 21533, 3319, 13, 18884, 525, 11762, 2396, 19359, 29918, 13140, 29892, 13, 18884, 525, 2230, 2396, 2944, 1839, 2230, 29918, 1688, 13359, 23749, 580, 29961, 29896, 29901, 1402, 13, 18884, 525, 13628, 29918, 290, 790, 2396, 8158, 29918, 290, 790, 29889, 23749, 3285, 13, 18884, 525, 13628, 29918, 2055, 790, 2396, 8158, 29918, 2055, 790, 29889, 23749, 3285, 13, 18884, 525, 1643, 2396, 2944, 1839, 1643, 29918, 1688, 13359, 23749, 3285, 13, 9651, 500, 876, 13, 9651, 565, 2944, 1839, 333, 2033, 338, 6213, 29901, 13, 18884, 4489, 29889, 7851, 29898, 29900, 29892, 525, 333, 742, 19359, 29918, 13140, 29974, 29896, 29897, 13, 9651, 1683, 29901, 13, 18884, 4489, 29889, 7851, 29898, 29900, 29892, 525, 333, 742, 2944, 1839, 333, 11287, 13, 9651, 2582, 29889, 4397, 29898, 2176, 29897, 13, 9651, 565, 313, 11762, 29918, 13140, 29974, 29896, 29897, 1273, 1480, 29918, 19207, 1275, 29871, 29900, 29901, 13, 18884, 12183, 29889, 3888, 29898, 29888, 29915, 12881, 3276, 6459, 292, 714, 27801, 297, 19359, 426, 11762, 29918, 13140, 29974, 29896, 6822, 29912, 29876, 29913, 297, 426, 29898, 2230, 29889, 2230, 580, 29899, 2962, 29918, 2230, 1125, 29889, 29906, 29888, 29913, 29879, 1495, 13, 18884, 1369, 29918, 2230, 353, 931, 29889, 2230, 580, 13, 4706, 2582, 353, 10518, 29889, 17685, 29898, 9902, 29897, 13, 4706, 736, 2582, 13, 13, 1678, 822, 4078, 29918, 4299, 29898, 1311, 29892, 1904, 29892, 1024, 1125, 13, 4706, 411, 1722, 29898, 359, 29889, 2084, 29889, 7122, 29898, 1311, 29889, 4299, 29918, 2084, 29892, 1024, 511, 525, 29893, 29890, 1495, 408, 285, 29901, 13, 9651, 4842, 305, 29889, 7620, 29898, 4299, 29889, 3859, 29918, 8977, 3285, 285, 29897, 13, 13, 1678, 822, 2254, 29918, 4299, 29898, 1311, 29892, 1904, 29892, 1024, 1125, 13, 4706, 411, 1722, 29898, 359, 29889, 2084, 29889, 7122, 29898, 1311, 29889, 4299, 29918, 2084, 29892, 1024, 511, 525, 6050, 1495, 408, 285, 29901, 13, 9651, 1904, 29889, 1359, 29918, 3859, 29918, 8977, 29898, 7345, 305, 29889, 1359, 29898, 29888, 876, 13, 13, 1990, 15228, 1469, 10036, 29901, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 7945, 29918, 842, 29892, 1243, 29918, 842, 29892, 3858, 29918, 2311, 29892, 3646, 29922, 29896, 1125, 13, 4706, 1583, 29889, 1643, 29918, 2311, 353, 3858, 29918, 2311, 13, 4706, 1583, 29889, 5182, 353, 3646, 13, 4706, 302, 353, 7431, 29898, 14968, 29918, 842, 29897, 13, 4706, 302, 29918, 14968, 353, 938, 29898, 29876, 29930, 29900, 29889, 29947, 29897, 13, 4706, 302, 29918, 14968, 29918, 791, 353, 302, 13, 4706, 1583, 29889, 14968, 29918, 842, 353, 1583, 29889, 13441, 29898, 14968, 29918, 842, 7503, 29876, 29918, 14968, 2314, 13, 4706, 1583, 29889, 791, 29918, 842, 353, 1583, 29889, 13441, 29898, 14968, 29918, 842, 29961, 29876, 29918, 14968, 29901, 29876, 29918, 14968, 29918, 791, 2314, 13, 4706, 1583, 29889, 1688, 29918, 842, 353, 1583, 29889, 13441, 29898, 1688, 29918, 842, 29897, 13, 13, 1678, 822, 3588, 29898, 1311, 29892, 19359, 29879, 1125, 13, 4706, 565, 19359, 29879, 338, 6213, 29901, 13, 9651, 736, 6213, 13, 4706, 286, 29918, 29873, 353, 1583, 29889, 5182, 718, 29871, 29896, 13, 4706, 822, 903, 13441, 29898, 11762, 1125, 13, 9651, 19359, 29918, 333, 353, 19359, 29889, 657, 877, 333, 1495, 13, 9651, 931, 29918, 29883, 353, 19359, 1839, 2230, 29918, 4703, 2033, 13, 9651, 2791, 29918, 29883, 353, 19359, 1839, 3502, 29918, 4703, 2033, 13, 9651, 1369, 353, 19359, 1839, 2962, 2033, 13, 9651, 5040, 353, 19359, 1839, 9847, 2033, 13, 9651, 931, 29918, 29873, 353, 19359, 1839, 2230, 29918, 5182, 2033, 13, 9651, 2791, 29918, 29873, 353, 19359, 1839, 3502, 29918, 5182, 2033, 13, 9651, 4974, 29898, 4422, 29889, 275, 29918, 24582, 29898, 2230, 29918, 29883, 876, 13, 9651, 4974, 29898, 4422, 29889, 275, 29918, 24582, 29898, 2230, 29918, 29873, 876, 13, 9651, 931, 353, 5159, 13, 9651, 2791, 353, 5159, 13, 9651, 474, 29918, 29883, 353, 29871, 29900, 13, 9651, 474, 29918, 29873, 353, 29871, 29900, 13, 9651, 302, 29918, 29883, 353, 7431, 29898, 2230, 29918, 29883, 29897, 13, 9651, 302, 29918, 29873, 353, 7431, 29898, 2230, 29918, 29873, 29897, 13, 9651, 4974, 29898, 29876, 29918, 29883, 1275, 7431, 29898, 3502, 29918, 29883, 876, 13, 9651, 4974, 29898, 29876, 29918, 29873, 1275, 7431, 29898, 3502, 29918, 29873, 876, 13, 9651, 1550, 474, 29918, 29883, 529, 302, 29918, 29883, 322, 474, 29918, 29873, 529, 302, 29918, 29873, 29901, 13, 18884, 565, 931, 29918, 29873, 29961, 29875, 29918, 29873, 29962, 5277, 931, 29918, 29883, 29961, 29875, 29918, 29883, 5387, 13, 462, 1678, 931, 29889, 4397, 29898, 2230, 29918, 29873, 29961, 29875, 29918, 29873, 2314, 13, 462, 1678, 2791, 29889, 4397, 29898, 3502, 29918, 29873, 29961, 29875, 29918, 29873, 2314, 13, 462, 1678, 474, 29918, 29873, 4619, 29871, 29896, 13, 18884, 1683, 29901, 13, 462, 1678, 931, 29889, 4397, 29898, 2230, 29918, 29883, 29961, 29875, 29918, 29883, 2314, 13, 462, 1678, 2791, 29889, 4397, 29898, 29885, 29918, 29873, 718, 2791, 29918, 29883, 29961, 29875, 29918, 29883, 2314, 13, 462, 1678, 474, 29918, 29883, 4619, 29871, 29896, 13, 9651, 565, 474, 29918, 29873, 529, 302, 29918, 29873, 29901, 13, 18884, 931, 29889, 21843, 29898, 2230, 29918, 29873, 29961, 29875, 29918, 29873, 29901, 2314, 13, 18884, 2791, 29889, 21843, 29898, 3502, 29918, 29873, 29961, 29875, 29918, 29873, 29901, 2314, 13, 9651, 565, 474, 29918, 29883, 529, 302, 29918, 29883, 29901, 13, 18884, 931, 29889, 21843, 29898, 2230, 29918, 29883, 29961, 29875, 29918, 29883, 29901, 2314, 13, 18884, 2791, 29889, 21843, 29898, 29885, 29918, 29873, 718, 2791, 29918, 29883, 29961, 29875, 29918, 29883, 29901, 2314, 13, 9651, 736, 426, 13, 18884, 525, 333, 2396, 19359, 29918, 333, 29892, 13, 18884, 525, 2230, 2396, 931, 29892, 13, 18884, 525, 3502, 2396, 2791, 29892, 13, 18884, 525, 2962, 2396, 1369, 29892, 13, 18884, 525, 9847, 2396, 5040, 29892, 13, 18884, 525, 2230, 29918, 1688, 2396, 19359, 29889, 657, 877, 2230, 29918, 1688, 5477, 13, 18884, 525, 1643, 29918, 1688, 2396, 19359, 29889, 657, 877, 1643, 29918, 1688, 5477, 13, 18884, 525, 2892, 29918, 29916, 2396, 19359, 29889, 657, 877, 2892, 29918, 29916, 5477, 13, 18884, 525, 29873, 29918, 29916, 2396, 19359, 29889, 657, 877, 29873, 29918, 29916, 5477, 13, 9651, 500, 13, 4706, 736, 23160, 13441, 29898, 11762, 29897, 363, 19359, 297, 19359, 29879, 29962, 13, 13, 1990, 10050, 2677, 1469, 10036, 29898, 2677, 1469, 10036, 1125, 13, 1678, 822, 3588, 29898, 1311, 29892, 19359, 29879, 1125, 13, 4706, 565, 19359, 29879, 338, 6213, 29901, 13, 9651, 736, 6213, 13, 4706, 822, 903, 13441, 29898, 11762, 1125, 13, 9651, 19359, 29918, 333, 353, 19359, 29889, 657, 877, 333, 1495, 13, 9651, 1369, 353, 19359, 1839, 2962, 2033, 13, 9651, 5040, 353, 19359, 1839, 9847, 2033, 13, 9651, 931, 29918, 29873, 353, 19359, 1839, 2230, 29918, 5182, 2033, 13, 9651, 2791, 29918, 29873, 353, 19359, 1839, 3502, 29918, 5182, 2033, 13, 9651, 4974, 29898, 4422, 29889, 275, 29918, 24582, 29898, 2230, 29918, 29873, 876, 13, 9651, 4974, 29898, 2435, 29898, 2230, 29918, 29873, 29897, 1275, 7431, 29898, 3502, 29918, 29873, 876, 13, 9651, 736, 426, 13, 18884, 525, 333, 2396, 19359, 29918, 333, 29892, 13, 18884, 525, 2230, 2396, 931, 29918, 29873, 29892, 13, 18884, 525, 3502, 2396, 2791, 29918, 29873, 29892, 13, 18884, 525, 2962, 2396, 1369, 29892, 13, 18884, 525, 9847, 2396, 5040, 29892, 13, 18884, 525, 2230, 29918, 1688, 2396, 19359, 29889, 657, 877, 2230, 29918, 1688, 5477, 13, 18884, 525, 1643, 29918, 1688, 2396, 19359, 29889, 657, 877, 1643, 29918, 1688, 5477, 13, 18884, 525, 2892, 29918, 29916, 2396, 19359, 29889, 657, 877, 2892, 29918, 29916, 5477, 13, 18884, 525, 29873, 29918, 29916, 2396, 19359, 29889, 657, 877, 29873, 29918, 29916, 5477, 13, 9651, 500, 13, 4706, 736, 23160, 13441, 29898, 11762, 29897, 363, 19359, 297, 19359, 29879, 29962, 13, 13, 1990, 853, 1643, 2677, 1469, 10036, 29898, 2677, 1469, 10036, 1125, 13, 1678, 822, 3588, 29898, 1311, 29892, 19359, 29879, 1125, 13, 4706, 565, 19359, 29879, 338, 6213, 29901, 13, 9651, 736, 6213, 13, 4706, 286, 29918, 29873, 353, 1583, 29889, 5182, 718, 29871, 29896, 13, 4706, 822, 903, 13441, 29898, 11762, 1125, 13, 9651, 19359, 29918, 333, 353, 19359, 29889, 657, 877, 333, 1495, 13, 9651, 931, 29918, 29883, 353, 19359, 1839, 2230, 29918, 4703, 2033, 13, 9651, 2791, 29918, 29883, 353, 19359, 1839, 3502, 29918, 4703, 2033, 13, 9651, 1369, 353, 19359, 1839, 2962, 2033, 13, 9651, 5040, 353, 19359, 1839, 9847, 2033, 13, 9651, 931, 29918, 29873, 353, 19359, 1839, 2230, 29918, 5182, 2033, 13, 9651, 2791, 29918, 29873, 353, 19359, 1839, 3502, 29918, 5182, 2033, 13, 9651, 4974, 29898, 4422, 29889, 275, 29918, 24582, 29898, 2230, 29918, 29883, 876, 13, 9651, 4974, 29898, 4422, 29889, 275, 29918, 24582, 29898, 2230, 29918, 29873, 876, 13, 9651, 931, 353, 5159, 13, 9651, 2791, 353, 5159, 13, 9651, 474, 29918, 29883, 353, 29871, 29900, 13, 9651, 474, 29918, 29873, 353, 29871, 29900, 13, 9651, 302, 29918, 29883, 353, 7431, 29898, 2230, 29918, 29883, 29897, 13, 9651, 302, 29918, 29873, 353, 7431, 29898, 2230, 29918, 29873, 29897, 13, 9651, 4974, 29898, 29876, 29918, 29883, 1275, 7431, 29898, 3502, 29918, 29883, 876, 13, 9651, 4974, 29898, 29876, 29918, 29873, 1275, 7431, 29898, 3502, 29918, 29873, 876, 13, 9651, 1550, 474, 29918, 29883, 529, 302, 29918, 29883, 322, 474, 29918, 29873, 529, 302, 29918, 29873, 29901, 13, 18884, 565, 931, 29918, 29873, 29961, 29875, 29918, 29873, 29962, 5277, 931, 29918, 29883, 29961, 29875, 29918, 29883, 5387, 13, 462, 1678, 931, 29889, 4397, 29898, 2230, 29918, 29873, 29961, 29875, 29918, 29873, 2314, 13, 462, 1678, 2791, 29889, 4397, 29898, 3502, 29918, 29873, 29961, 29875, 29918, 29873, 2314, 13, 462, 1678, 474, 29918, 29873, 4619, 29871, 29896, 13, 18884, 1683, 29901, 13, 462, 1678, 931, 29889, 4397, 29898, 2230, 29918, 29883, 29961, 29875, 29918, 29883, 2314, 13, 462, 1678, 2791, 29889, 4397, 29898, 29885, 29918, 29873, 718, 2791, 29918, 29883, 29961, 29875, 29918, 29883, 2314, 13, 462, 1678, 474, 29918, 29883, 4619, 29871, 29896, 13, 9651, 565, 474, 29918, 29873, 529, 302, 29918, 29873, 29901, 13, 18884, 931, 29889, 21843, 29898, 2230, 29918, 29873, 29961, 29875, 29918, 29873, 29901, 2314, 13, 18884, 2791, 29889, 21843, 29898, 3502, 29918, 29873, 29961, 29875, 29918, 29873, 29901, 2314, 13, 9651, 565, 474, 29918, 29883, 529, 302, 29918, 29883, 29901, 13, 18884, 931, 29889, 21843, 29898, 2230, 29918, 29883, 29961, 29875, 29918, 29883, 29901, 2314, 13, 18884, 2791, 29889, 21843, 29898, 29885, 29918, 29873, 718, 2791, 29918, 29883, 29961, 29875, 29918, 29883, 29901, 2314, 13, 9651, 4974, 29898, 11762, 29889, 657, 877, 2230, 29918, 1688, 1495, 338, 6213, 29897, 13, 9651, 4974, 29898, 11762, 29889, 657, 877, 1643, 29918, 1688, 1495, 338, 6213, 29897, 13, 9651, 565, 1369, 1275, 931, 29918, 29873, 29961, 29900, 5387, 13, 18884, 396, 565, 8665, 411, 263, 3646, 1741, 13, 18884, 396, 925, 671, 372, 408, 278, 1369, 13, 18884, 931, 29918, 1688, 353, 7442, 29889, 2378, 29898, 2230, 29918, 29873, 29897, 13, 9651, 1683, 29901, 13, 18884, 396, 6467, 788, 263, 1369, 13, 18884, 931, 29918, 1688, 353, 7442, 29889, 2378, 29898, 9302, 29889, 535, 29883, 2579, 403, 3552, 29961, 2962, 1402, 931, 29918, 29873, 4961, 13, 9651, 396, 937, 1741, 17997, 278, 1369, 322, 338, 451, 9528, 13, 9651, 3858, 29918, 1688, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 2230, 29918, 1688, 29961, 29896, 29901, 2314, 13, 9651, 736, 426, 13, 18884, 525, 333, 2396, 19359, 29918, 333, 29892, 13, 18884, 525, 2230, 2396, 931, 29892, 13, 18884, 525, 3502, 2396, 2791, 29892, 13, 18884, 525, 2962, 2396, 1369, 29892, 13, 18884, 525, 9847, 2396, 5040, 29892, 13, 18884, 525, 2230, 29918, 1688, 2396, 931, 29918, 1688, 29892, 13, 18884, 525, 1643, 29918, 1688, 2396, 3858, 29918, 1688, 29892, 13, 18884, 525, 2892, 29918, 29916, 2396, 6213, 29892, 13, 18884, 525, 29873, 29918, 29916, 2396, 6213, 29892, 13, 9651, 500, 13, 4706, 736, 23160, 13441, 29898, 11762, 29897, 363, 19359, 297, 19359, 29879, 29962, 13, 2 ]

pages/product_page.py

edwlad/stepik-test-final

0

168240

from pages.base_page import BasePage from pages.locators import ProductPageLocators class ProductPage(BasePage): pass # alert = self.browser.switch_to.alert # alert.accept()

[ 1, 515, 6515, 29889, 3188, 29918, 3488, 1053, 7399, 5074, 13, 3166, 6515, 29889, 2029, 4097, 1053, 10969, 5074, 3524, 4097, 13, 13, 13, 1990, 10969, 5074, 29898, 5160, 5074, 1125, 13, 1678, 1209, 13, 1678, 396, 6655, 353, 1583, 29889, 15965, 29889, 15123, 29918, 517, 29889, 12888, 13, 1678, 396, 6655, 29889, 16044, 580, 13, 2 ]

txml.py

jdelgit/txml

0

29478

<reponame>jdelgit/txml<filename>txml.py from xml.etree.ElementTree import iterparse, ParseError from io import StringIO from os.path import isfile from re import findall class XmlParser: def __init__(self, source=""): self.source = source self.proces_file = False self.use_io = False self.encoding = 'UTF-8' self.namespaces = {} self.namespace_present = False self._source_check() # see also _get_encoding, _get_namespaces def _source_check(self): """ [Function checkes whether the source input is a existing xml file or a xml syle formatted string] """ _extension = self.source[-3:] if _extension == "xml" or _extension == "xsd": if isfile(self.source): self.proces_file = True self._get_encoding() self._get_namespaces() else: print("File not found {}".format(self.source)) else: context_test = iterparse(StringIO("""{}""".format(self.source))) try: context_test.__next__() del context_test self.proces_file = True self.use_io = True self._get_encoding() self._get_namespaces() except ParseError: del context_test print("Input is not in supported Xml format") def _get_encoding(self): if self.proces_file and not self.use_io: with open(self.source, 'r') as f: l = f.readline() if 'encoding' in l: match = findall('(encoding=.*\?)', l) encoding = match[0].split('=')[1].replace( '?', '').replace('\"', '') self.encoding = encoding # see also get_all_tags def _get_namespaces(self): """[Creates a dictionary of the namespaces with their associated tags ] Returns: [dict] -- [Dictionary with namespaces as keys and the corresponding tags in a list as value ] """ tags = self.get_all_tags() namespaces = {} for tag in tags: namespace = findall('({.{1,}})', tag) if len(namespace) > 0: namespace = namespace[0] formatted_tag = tag.replace(namespace, '') try: namespaces[namespace].append(formatted_tag) except KeyError: namespaces[namespace] = [formatted_tag] if namespaces: self.namespace_present = True self.namespaces = namespaces # return namespaces def get_all_tags(self): """[All the unique tags available in the Xml No hierachy is mainted for the xml structure] Returns: [list] -- [A list of all the unique tags available in the Xml] """ if self.source and self.proces_file: if self.use_io: context = iterparse(StringIO("""{}""".format(self.source)), events=("start",)) else: data = open(self.source, 'r', encoding=self.encoding) context = iterparse(data, events=("start",)) else: print("No source XML-file provided") return tag_set = [] for event, elem in context: tag_set.append(elem.tag) elem.clear() if self.source and self.proces_file and not self.use_io: data.close() # close filestream del context tag_set = list(set(tag_set)) return tag_set # see also search_nodes def search_namespace_node(self, namespace="", tag=""): ntag = "{}{}".format(namespace, tag) for node in self.search_nodes(tag=ntag): yield node # see also search_node_attr def search_namespace_attr(self, namespace="", tag="", **kwargs): ntag = "{}{}".format(namespace, tag) for node in self.search_node_attr(tag=ntag, kwargs=kwargs): yield node # see also seach_nodes def search_node_attr(self, tag="", get_children=True, **kwargs): """[This function filters results from the <search_node> function based on given attributes,values] Keyword Arguments: tag {str} -- [tag of Xml node element] (default: {""}) get_children {bool} -- [Choice for whether subnodes should be returned] (default: {True}) Returns / yields: [dict] -- [Dictionary containing all matching nodes] """ if 'kwargs' in kwargs: kwargs = kwargs['kwargs'] for node in self.search_nodes(tag=tag, get_children=get_children): if len(kwargs) > 0: for key in kwargs: arg = kwargs[key] try: node_val = node['element']['attr'][key] except KeyError: # print("Key '{}' not found in element {}".format(key, # tag)) # exit function if non-existing key is requested node_val = '' if node_val == arg: give_node = True else: # attribute not matching # move on to next node give_node = False break else: give_node = True if give_node: yield node # see also _node_to_dict and _stack_state_controller def search_nodes(self, tag="", get_children=True): """[If a tag is specified the function returns an generator with all Xml elements which have a matching tag. If tag is not specified, the root node is returned When get_children is set, the function returns the subnodes nested in a list of dictionaries] Keyword Arguments: tag {str} -- [tag of Xml node element] (default: {""}) get_children {bool} -- [Choice for whether subnodes should be returned] (default: {True}) """ if self.source and self.proces_file: if self.use_io: context = iterparse(StringIO("""{}""".format(self.source)), events=('start', 'end')) else: data = open(self.source, 'r', encoding=self.encoding) context = iterparse(data, events=('start', 'end')) else: print("Unable to process input") return if get_children: children = [] p_stack = [] tag_stack = [] p_tag = "" c_tag = "" npd = False append_children = False for event, elem in context: if not tag: # if no tag is given then get data for entire document tag = elem.tag if get_children: if elem.tag != tag and append_children: event, elem, p_tag, c_tag, p_stack, \ tag_stack, children, npd = \ self._stack_state_controller(event=event, elem=elem, p_tag=p_tag, c_tag=c_tag, p_stack=p_stack, tag_stack=tag_stack, children=children, npd=npd) if elem.tag == tag and event == 'start': append_children = True if elem.tag == tag and event == 'end': node_dict = self._node_to_dict(elem) output_dict = {'element': node_dict, 'children': []} elem.clear() if get_children: output_dict['children'] = children children = [] append_children = False yield output_dict del context if self.source and self.proces_file and not self.use_io: data.close() # close filestream del data # see also node_to_dict def _stack_state_controller(self, event, elem, p_tag="", c_tag="", p_stack=[], tag_stack=[], children=[], npd=False): """[Keeps track of a dictionary stack and a tag stack, and updates them as required. This is done based on the start/end triggers from the elements in the Xml format] Arguments: event {[str]} -- [start/end points of element] elem {[et.etree.ElementTree.Element]} -- [description] Keyword Arguments: p_tag {str} -- [Current parent tag (top of dict stack). (not used actively) ] (default: {""}) c_tag {str} -- [Current child tag (top of tag stack)] (default: {""}) p_stack {list} -- [Stack for holding the parent dictionaries ] (default: {[]}) tag_stack {list} -- [Stack for holding all the tags] (default: {[]}) children {list} -- [List for holding all subnodes found] (default: {[]}) npd {bool} -- [When set new dictionary is appended to stack] (default: {False}) Returns: All arguments passed to it are returned after being updated """ # ndp controls the creation of new dicts in the p_stack if (elem.tag != c_tag) and (event == "start"): tag_stack.append(elem.tag) if npd: # add new dictionary when children are confiremed to exist _p_dict = {'children': [], 'element': ""} p_stack.append(_p_dict) p_tag = c_tag c_tag = elem.tag npd = True elif (elem.tag == c_tag) and (event == "end"): if len(tag_stack) == 1: # last child on stack if len(p_stack) > 0: # child has children _child = p_stack.pop() _child['element'] = self._node_to_dict(elem) else: _child = {'children': [], 'element': self._node_to_dict(elem)} children.append(_child) c_tag = "" tag_stack.pop() elif len(tag_stack) == len(p_stack): _child = p_stack.pop() _parent = p_stack.pop() _child['element'] = self._node_to_dict(elem) _parent['children'].append(_child) p_stack.append(_parent) tag_stack.pop() c_tag = tag_stack[-1] if len(tag_stack) > 1: p_tag = tag_stack[-2] else: p_tag = "" else: _parent = p_stack.pop() _child = self._node_to_dict(elem) _parent['children'].append(_child) p_stack.append(_parent) tag_stack.pop() c_tag = tag_stack[-1] if len(tag_stack) > 1: p_tag = tag_stack[-2] else: p_tag = "" npd = False elem.clear() return [event, elem, p_tag, c_tag, p_stack, tag_stack, children, npd] def _node_to_dict(self, node=""): """[Convert node element attributes to dictionary] Keyword Arguments: node {et.etree.ElementTree.Element} -- [] (default: {""}) Returns: [dict] -- [Dictionary containing all the attribute,value pairs contained in the node] """ data = {} data['attr'] = {n[0]: n[1] for n in node.items()} data['text'] = node.text data['tag'] = node.tag return data class XsdtoDict: def __init__(self, source=''): self.source = source def convert_to_dict(self): parser = XmlParser(source=self.source) xsd_tags = self.get_export_type_data(parser) data = {} for tag in xsd_tags: data[tag['name']] = self.parse_xml_entry(tag, parser) return data def get_export_type_data(self, validation_parser): all_nodes = validation_parser.search_nodes() output_types = [] for nodes in all_nodes: if nodes: output_types = [{'name': entry['element']['attr']['name'], 'tag': entry['element']['tag']} for entry in nodes['children']] return output_types def parse_xml_entry(self, tag_data, xml_iterator): parent_tag = tag_data['tag'] parent_name = tag_data['name'] sub_elements = xml_iterator.search_node_attr(tag=parent_tag, name=parent_name) if 'complexType' in parent_tag: output = self.parse_complextypes(sub_elements) elif 'simpleType' in parent_tag: output = self.parse_simpletypes(sub_elements) else: output = list(sub_elements) return output def parse_complextypes(self, complex_iterator): output = {} for element_data in complex_iterator: output['attr'] = element_data['element']['attr'] output['sequence'] = [] if element_data['children']: for sub_element in element_data['children']: if 'sequence' in sub_element['element']['tag']: sequence_data = self.parse_sequence(sub_element['children']) output['sequence'].append(sequence_data) else: pass return output def parse_sequence(self, sequence_elements): sequence_output = [] for element in sequence_elements: element_data = self.parse_element(element) sequence_output.append(element_data) return sequence_output def parse_element(self, element): output = {} if 'children' in element: output['tag'] = element['element']['tag'] output['attr'] = element['element']['attr'] element_children = element['children'] output['children_data'] = [] for child in element_children: if 'simpleType' in child['element']['tag']: child_data = self.parse_simpletypes(child) output['children_data'].append(child_data) else: output['tag'] = element['tag'] output['attr'] = element['attr'] return output def parse_simpletypes(self, simple_element): output = {} try: element_children = simple_element['children'] for child_element in element_children: if 'restriction' in child_element['element']['tag']: output['restrictions'] = {'attr': child_element['element']['attr']} restriction_data = self.parse_restrictions(child_element['children']) output['restrictions']['restrictions'] = restriction_data except TypeError: element_data = list(simple_element) element_data = element_data[0] element_children = element_data['children'] element_children = element_children[0]['children'] output['restrictions'] = [] for data in element_children: if 'element' in data: output['restrictions'].append(data['element']['attr']) else: if 'minLength' in data['tag']: output['restrictions'].append({'minlength':data['attr']}) if 'maxLength' in data['tag']: output['restrictions'].append({'maxlength':data['attr']}) return output def parse_restrictions(self, restriction_iterator): output = [] for restriction in restriction_iterator: restriction_data = {} restriction_data['enumarations'] = [] restriction_data['length_data'] = [] if 'element' in restriction: if 'enumeration' in restriction['element']['tag']: enumaration_data = self.parse_enumarations(restriction['children']) restriction_data['enumarations'].append(enumaration_data) restriction_data['attr'] = restriction['element']['attr'] elif 'Length' in restriction['element']['tag']: restriction_data['attr'] = restriction['element']['attr'] restriction_data['length_data'].append(restriction['element']['attr']) else: restriction_data['attr'] = restriction['attr'] output.append(restriction_data) return output def parse_enumarations(self, enumeration_iterator): output = {'annotations': ""} for enumaration in enumeration_iterator: if 'annotation' in enumaration['element']['tag']: annotations = enumaration['children'] annot = {'documentation': []} for annotation in annotations: annot['documentation'].append({'attr': annotation['attr'], 'text': ['text']}) output['annotations'] = annot return output

[ 1, 529, 276, 1112, 420, 29958, 29926, 6144, 5559, 29914, 29873, 3134, 29966, 9507, 29958, 29873, 3134, 29889, 2272, 13, 3166, 4903, 29889, 300, 929, 29889, 2642, 9643, 1053, 4256, 5510, 29892, 20969, 2392, 13, 3166, 12013, 1053, 1714, 5971, 13, 3166, 2897, 29889, 2084, 1053, 338, 1445, 13, 3166, 337, 1053, 1284, 497, 13, 13, 13, 1990, 24409, 11726, 29901, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 2752, 13776, 1125, 13, 4706, 1583, 29889, 4993, 353, 2752, 13, 4706, 1583, 29889, 771, 778, 29918, 1445, 353, 7700, 13, 4706, 1583, 29889, 1509, 29918, 601, 353, 7700, 13, 4706, 1583, 29889, 22331, 353, 525, 10496, 29899, 29947, 29915, 13, 4706, 1583, 29889, 7039, 22459, 353, 6571, 13, 4706, 1583, 29889, 22377, 29918, 6338, 353, 7700, 13, 4706, 1583, 3032, 4993, 29918, 3198, 580, 13, 13, 1678, 396, 1074, 884, 903, 657, 29918, 22331, 29892, 903, 657, 29918, 7039, 22459, 13, 1678, 822, 903, 4993, 29918, 3198, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 518, 6678, 1423, 267, 3692, 278, 2752, 1881, 338, 263, 5923, 4903, 934, 13, 308, 470, 263, 4903, 269, 1508, 20917, 1347, 29962, 13, 4706, 9995, 13, 13, 4706, 903, 17588, 353, 1583, 29889, 4993, 14352, 29941, 17531, 13, 4706, 565, 903, 17588, 1275, 376, 3134, 29908, 470, 903, 17588, 1275, 376, 19168, 1115, 13, 9651, 565, 338, 1445, 29898, 1311, 29889, 4993, 1125, 13, 18884, 1583, 29889, 771, 778, 29918, 1445, 353, 5852, 13, 18884, 1583, 3032, 657, 29918, 22331, 580, 13, 18884, 1583, 3032, 657, 29918, 7039, 22459, 580, 13, 9651, 1683, 29901, 13, 18884, 1596, 703, 2283, 451, 1476, 6571, 1642, 4830, 29898, 1311, 29889, 4993, 876, 13, 4706, 1683, 29901, 13, 9651, 3030, 29918, 1688, 353, 4256, 5510, 29898, 1231, 5971, 703, 15945, 29912, 5038, 29908, 1642, 4830, 29898, 1311, 29889, 4993, 4961, 13, 9651, 1018, 29901, 13, 18884, 3030, 29918, 1688, 17255, 4622, 1649, 580, 13, 18884, 628, 3030, 29918, 1688, 13, 18884, 1583, 29889, 771, 778, 29918, 1445, 353, 5852, 13, 18884, 1583, 29889, 1509, 29918, 601, 353, 5852, 13, 18884, 1583, 3032, 657, 29918, 22331, 580, 13, 18884, 1583, 3032, 657, 29918, 7039, 22459, 580, 13, 9651, 5174, 20969, 2392, 29901, 13, 18884, 628, 3030, 29918, 1688, 13, 18884, 1596, 703, 4290, 338, 451, 297, 6969, 24409, 3402, 1159, 13, 13, 1678, 822, 903, 657, 29918, 22331, 29898, 1311, 1125, 13, 4706, 565, 1583, 29889, 771, 778, 29918, 1445, 322, 451, 1583, 29889, 1509, 29918, 601, 29901, 13, 9651, 411, 1722, 29898, 1311, 29889, 4993, 29892, 525, 29878, 1495, 408, 285, 29901, 13, 18884, 301, 353, 285, 29889, 949, 1220, 580, 13, 9651, 565, 525, 22331, 29915, 297, 301, 29901, 13, 18884, 1993, 353, 1284, 497, 877, 29898, 22331, 29922, 5575, 29905, 7897, 742, 301, 29897, 13, 18884, 8025, 353, 1993, 29961, 29900, 1822, 5451, 877, 29922, 29861, 29896, 1822, 6506, 29898, 13, 462, 1678, 525, 29973, 742, 525, 2824, 6506, 877, 5931, 742, 27255, 13, 18884, 1583, 29889, 22331, 353, 8025, 13, 13, 1678, 396, 1074, 884, 679, 29918, 497, 29918, 11338, 13, 1678, 822, 903, 657, 29918, 7039, 22459, 29898, 1311, 1125, 13, 4706, 9995, 29961, 9832, 1078, 263, 8600, 310, 278, 2983, 22459, 411, 1009, 6942, 8282, 4514, 13, 13, 4706, 16969, 29901, 13, 9651, 518, 8977, 29962, 1192, 518, 11513, 411, 2983, 22459, 408, 6611, 13, 462, 539, 322, 278, 6590, 8282, 297, 263, 1051, 408, 995, 4514, 13, 4706, 9995, 13, 13, 4706, 8282, 353, 1583, 29889, 657, 29918, 497, 29918, 11338, 580, 13, 4706, 2983, 22459, 353, 6571, 13, 4706, 363, 4055, 297, 8282, 29901, 13, 9651, 7397, 353, 1284, 497, 877, 3319, 29889, 29912, 29896, 29892, 24289, 742, 4055, 29897, 13, 9651, 565, 7431, 29898, 22377, 29897, 1405, 29871, 29900, 29901, 13, 18884, 7397, 353, 7397, 29961, 29900, 29962, 13, 18884, 20917, 29918, 4039, 353, 4055, 29889, 6506, 29898, 22377, 29892, 27255, 13, 18884, 1018, 29901, 13, 462, 1678, 2983, 22459, 29961, 22377, 1822, 4397, 29898, 689, 19667, 29918, 4039, 29897, 13, 18884, 5174, 7670, 2392, 29901, 13, 462, 1678, 2983, 22459, 29961, 22377, 29962, 353, 518, 689, 19667, 29918, 4039, 29962, 13, 4706, 565, 2983, 22459, 29901, 13, 9651, 1583, 29889, 22377, 29918, 6338, 353, 5852, 13, 4706, 1583, 29889, 7039, 22459, 353, 2983, 22459, 13, 4706, 396, 736, 2983, 22459, 13, 13, 1678, 822, 679, 29918, 497, 29918, 11338, 29898, 1311, 1125, 13, 4706, 9995, 29961, 3596, 278, 5412, 8282, 3625, 297, 278, 24409, 13, 9651, 1939, 6128, 496, 29891, 338, 1667, 9446, 363, 278, 4903, 3829, 29962, 13, 13, 4706, 16969, 29901, 13, 9651, 518, 1761, 29962, 1192, 518, 29909, 1051, 310, 599, 278, 5412, 8282, 3625, 297, 278, 24409, 29962, 13, 4706, 9995, 13, 13, 4706, 565, 1583, 29889, 4993, 322, 1583, 29889, 771, 778, 29918, 1445, 29901, 13, 13, 9651, 565, 1583, 29889, 1509, 29918, 601, 29901, 13, 18884, 3030, 353, 4256, 5510, 29898, 1231, 5971, 703, 15945, 29912, 5038, 29908, 1642, 4830, 29898, 1311, 29889, 4993, 8243, 13, 462, 462, 1678, 4959, 29922, 703, 2962, 613, 876, 13, 9651, 1683, 29901, 13, 18884, 848, 353, 1722, 29898, 1311, 29889, 4993, 29892, 525, 29878, 742, 8025, 29922, 1311, 29889, 22331, 29897, 13, 18884, 3030, 353, 4256, 5510, 29898, 1272, 29892, 4959, 29922, 703, 2962, 613, 876, 13, 4706, 1683, 29901, 13, 9651, 1596, 703, 3782, 2752, 6560, 29899, 1445, 4944, 1159, 13, 9651, 736, 13, 4706, 4055, 29918, 842, 353, 5159, 13, 4706, 363, 1741, 29892, 21268, 297, 3030, 29901, 13, 9651, 4055, 29918, 842, 29889, 4397, 29898, 20461, 29889, 4039, 29897, 13, 9651, 21268, 29889, 8551, 580, 13, 4706, 565, 1583, 29889, 4993, 322, 1583, 29889, 771, 778, 29918, 1445, 322, 451, 1583, 29889, 1509, 29918, 601, 29901, 13, 9651, 848, 29889, 5358, 580, 29871, 396, 3802, 977, 342, 1633, 13, 4706, 628, 3030, 13, 4706, 4055, 29918, 842, 353, 1051, 29898, 842, 29898, 4039, 29918, 842, 876, 13, 4706, 736, 4055, 29918, 842, 13, 13, 1678, 396, 1074, 884, 2740, 29918, 18010, 13, 1678, 822, 2740, 29918, 22377, 29918, 3177, 29898, 1311, 29892, 7397, 543, 613, 4055, 13776, 1125, 13, 4706, 302, 4039, 353, 29850, 1157, 29913, 1642, 4830, 29898, 22377, 29892, 4055, 29897, 13, 4706, 363, 2943, 297, 1583, 29889, 4478, 29918, 18010, 29898, 4039, 29922, 593, 351, 1125, 13, 9651, 7709, 2943, 13, 13, 1678, 396, 1074, 884, 2740, 29918, 3177, 29918, 5552, 13, 1678, 822, 2740, 29918, 22377, 29918, 5552, 29898, 1311, 29892, 7397, 543, 613, 4055, 543, 613, 3579, 19290, 1125, 13, 4706, 302, 4039, 353, 29850, 1157, 29913, 1642, 4830, 29898, 22377, 29892, 4055, 29897, 13, 4706, 363, 2943, 297, 1583, 29889, 4478, 29918, 3177, 29918, 5552, 29898, 4039, 29922, 593, 351, 29892, 9049, 5085, 29922, 19290, 1125, 13, 9651, 7709, 2943, 13, 13, 1678, 396, 1074, 884, 409, 496, 29918, 18010, 13, 1678, 822, 2740, 29918, 3177, 29918, 5552, 29898, 1311, 29892, 4055, 543, 613, 679, 29918, 11991, 29922, 5574, 29892, 3579, 19290, 1125, 13, 4706, 9995, 29961, 4013, 740, 18094, 2582, 515, 278, 529, 4478, 29918, 3177, 29958, 740, 13, 9651, 2729, 373, 2183, 8393, 29892, 5975, 29962, 13, 13, 4706, 7670, 1742, 11842, 9331, 29901, 13, 9651, 4055, 426, 710, 29913, 1192, 518, 4039, 310, 24409, 2943, 1543, 29962, 313, 4381, 29901, 8853, 29908, 1800, 13, 9651, 679, 29918, 11991, 426, 11227, 29913, 1192, 518, 29620, 363, 3692, 1014, 18010, 13, 462, 462, 1678, 881, 367, 4133, 29962, 313, 4381, 29901, 426, 5574, 1800, 13, 13, 4706, 16969, 847, 17498, 29901, 13, 9651, 518, 8977, 29962, 1192, 518, 11513, 6943, 599, 9686, 7573, 29962, 13, 4706, 9995, 13, 13, 4706, 565, 525, 19290, 29915, 297, 9049, 5085, 29901, 13, 9651, 9049, 5085, 353, 9049, 5085, 1839, 19290, 2033, 13, 4706, 363, 2943, 297, 1583, 29889, 4478, 29918, 18010, 29898, 4039, 29922, 4039, 29892, 679, 29918, 11991, 29922, 657, 29918, 11991, 1125, 13, 9651, 565, 7431, 29898, 19290, 29897, 1405, 29871, 29900, 29901, 13, 18884, 363, 1820, 297, 9049, 5085, 29901, 13, 462, 1678, 1852, 353, 9049, 5085, 29961, 1989, 29962, 13, 13, 462, 1678, 1018, 29901, 13, 462, 4706, 2943, 29918, 791, 353, 2943, 1839, 5029, 16215, 5552, 2033, 29961, 1989, 29962, 13, 462, 1678, 5174, 7670, 2392, 29901, 13, 462, 4706, 396, 1596, 703, 2558, 525, 8875, 29915, 451, 1476, 297, 1543, 6571, 1642, 4830, 29898, 1989, 29892, 13, 462, 4706, 396, 462, 462, 462, 4055, 876, 13, 462, 4706, 396, 6876, 740, 565, 1661, 29899, 735, 15423, 1820, 338, 13877, 13, 462, 4706, 2943, 29918, 791, 353, 6629, 13, 13, 462, 1678, 565, 2943, 29918, 791, 1275, 1852, 29901, 13, 462, 4706, 2367, 29918, 3177, 353, 5852, 13, 462, 1678, 1683, 29901, 13, 462, 4706, 396, 5352, 451, 9686, 13, 462, 4706, 396, 4337, 373, 304, 2446, 2943, 13, 462, 4706, 2367, 29918, 3177, 353, 7700, 13, 462, 4706, 2867, 13, 9651, 1683, 29901, 13, 18884, 2367, 29918, 3177, 353, 5852, 13, 9651, 565, 2367, 29918, 3177, 29901, 13, 18884, 7709, 2943, 13, 13, 1678, 396, 1074, 884, 903, 3177, 29918, 517, 29918, 8977, 322, 903, 1429, 29918, 3859, 29918, 8299, 13, 1678, 822, 2740, 29918, 18010, 29898, 1311, 29892, 4055, 543, 613, 679, 29918, 11991, 29922, 5574, 1125, 13, 4706, 9995, 29961, 3644, 263, 4055, 338, 6790, 278, 740, 3639, 385, 15299, 13, 9651, 411, 599, 24409, 3161, 607, 505, 263, 9686, 4055, 29889, 13, 9651, 960, 4055, 338, 451, 6790, 29892, 278, 3876, 2943, 338, 4133, 13, 9651, 1932, 679, 29918, 11991, 338, 731, 29892, 278, 740, 3639, 278, 1014, 18010, 13, 9651, 9322, 297, 263, 1051, 310, 21503, 4314, 29962, 13, 13, 4706, 7670, 1742, 11842, 9331, 29901, 13, 9651, 4055, 426, 710, 29913, 1192, 518, 4039, 310, 24409, 2943, 1543, 29962, 313, 4381, 29901, 8853, 29908, 1800, 13, 9651, 679, 29918, 11991, 426, 11227, 29913, 1192, 518, 29620, 363, 3692, 1014, 18010, 13, 462, 462, 1678, 881, 367, 4133, 29962, 313, 4381, 29901, 426, 5574, 1800, 13, 4706, 9995, 13, 13, 4706, 565, 1583, 29889, 4993, 322, 1583, 29889, 771, 778, 29918, 1445, 29901, 13, 9651, 565, 1583, 29889, 1509, 29918, 601, 29901, 13, 18884, 3030, 353, 4256, 5510, 29898, 1231, 5971, 703, 15945, 29912, 5038, 29908, 1642, 4830, 29898, 1311, 29889, 4993, 8243, 13, 462, 462, 1678, 4959, 29922, 877, 2962, 742, 525, 355, 8785, 13, 9651, 1683, 29901, 13, 18884, 848, 353, 1722, 29898, 1311, 29889, 4993, 29892, 525, 29878, 742, 8025, 29922, 1311, 29889, 22331, 29897, 13, 18884, 3030, 353, 4256, 5510, 29898, 1272, 29892, 4959, 29922, 877, 2962, 742, 525, 355, 8785, 13, 13, 4706, 1683, 29901, 13, 9651, 1596, 703, 2525, 519, 304, 1889, 1881, 1159, 13, 9651, 736, 13, 4706, 565, 679, 29918, 11991, 29901, 13, 9651, 4344, 353, 5159, 13, 9651, 282, 29918, 1429, 353, 5159, 13, 9651, 4055, 29918, 1429, 353, 5159, 13, 9651, 282, 29918, 4039, 353, 5124, 13, 9651, 274, 29918, 4039, 353, 5124, 13, 9651, 7442, 29881, 353, 7700, 13, 4706, 9773, 29918, 11991, 353, 7700, 13, 4706, 363, 1741, 29892, 21268, 297, 3030, 29901, 13, 9651, 565, 451, 4055, 29901, 13, 18884, 396, 565, 694, 4055, 338, 2183, 769, 679, 848, 363, 4152, 1842, 13, 18884, 4055, 353, 21268, 29889, 4039, 13, 13, 9651, 565, 679, 29918, 11991, 29901, 13, 18884, 565, 21268, 29889, 4039, 2804, 4055, 322, 9773, 29918, 11991, 29901, 13, 462, 1678, 1741, 29892, 21268, 29892, 282, 29918, 4039, 29892, 274, 29918, 4039, 29892, 282, 29918, 1429, 29892, 320, 13, 462, 4706, 4055, 29918, 1429, 29892, 4344, 29892, 7442, 29881, 353, 320, 13, 462, 4706, 1583, 3032, 1429, 29918, 3859, 29918, 8299, 29898, 3696, 29922, 3696, 29892, 13, 462, 462, 462, 268, 21268, 29922, 20461, 29892, 13, 462, 462, 462, 268, 282, 29918, 4039, 29922, 29886, 29918, 4039, 29892, 13, 462, 462, 462, 268, 274, 29918, 4039, 29922, 29883, 29918, 4039, 29892, 13, 462, 462, 462, 268, 282, 29918, 1429, 29922, 29886, 29918, 1429, 29892, 13, 462, 462, 462, 268, 4055, 29918, 1429, 29922, 4039, 29918, 1429, 29892, 13, 462, 462, 462, 268, 4344, 29922, 11991, 29892, 13, 462, 462, 462, 268, 7442, 29881, 29922, 9302, 29881, 29897, 13, 13, 18884, 565, 21268, 29889, 4039, 1275, 4055, 322, 1741, 1275, 525, 2962, 2396, 13, 462, 1678, 9773, 29918, 11991, 353, 5852, 13, 13, 9651, 565, 21268, 29889, 4039, 1275, 4055, 322, 1741, 1275, 525, 355, 2396, 13, 13, 18884, 2943, 29918, 8977, 353, 1583, 3032, 3177, 29918, 517, 29918, 8977, 29898, 20461, 29897, 13, 18884, 1962, 29918, 8977, 353, 11117, 5029, 2396, 2943, 29918, 8977, 29892, 525, 11991, 2396, 5159, 29913, 13, 18884, 21268, 29889, 8551, 580, 13, 13, 18884, 565, 679, 29918, 11991, 29901, 13, 462, 1678, 1962, 29918, 8977, 1839, 11991, 2033, 353, 4344, 13, 462, 1678, 4344, 353, 5159, 13, 462, 1678, 9773, 29918, 11991, 353, 7700, 13, 13, 18884, 7709, 1962, 29918, 8977, 13, 13, 4706, 628, 3030, 13, 4706, 565, 1583, 29889, 4993, 322, 1583, 29889, 771, 778, 29918, 1445, 322, 451, 1583, 29889, 1509, 29918, 601, 29901, 13, 9651, 848, 29889, 5358, 580, 29871, 396, 3802, 977, 342, 1633, 13, 4706, 628, 848, 13, 13, 1678, 396, 1074, 884, 2943, 29918, 517, 29918, 8977, 13, 1678, 822, 903, 1429, 29918, 3859, 29918, 8299, 29898, 1311, 29892, 1741, 29892, 21268, 29892, 282, 29918, 4039, 543, 613, 274, 29918, 4039, 543, 613, 13, 462, 18884, 282, 29918, 1429, 11759, 1402, 4055, 29918, 1429, 11759, 1402, 4344, 11759, 1402, 13, 462, 18884, 7442, 29881, 29922, 8824, 1125, 13, 4706, 9995, 29961, 29968, 3905, 567, 5702, 310, 263, 8600, 5096, 322, 263, 4055, 5096, 29892, 322, 11217, 963, 408, 3734, 29889, 13, 9651, 910, 338, 2309, 2729, 373, 278, 1369, 29914, 355, 23660, 515, 278, 3161, 297, 278, 24409, 3402, 29962, 13, 13, 4706, 11842, 9331, 29901, 13, 9651, 1741, 426, 29961, 710, 12258, 1192, 518, 2962, 29914, 355, 3291, 310, 1543, 29962, 13, 9651, 21268, 426, 29961, 300, 29889, 300, 929, 29889, 2642, 9643, 29889, 2642, 12258, 1192, 518, 8216, 29962, 13, 13, 4706, 7670, 1742, 11842, 9331, 29901, 13, 9651, 282, 29918, 4039, 426, 710, 29913, 1192, 518, 7583, 3847, 4055, 313, 3332, 310, 9657, 5096, 467, 313, 1333, 1304, 1044, 3598, 29897, 4514, 313, 4381, 29901, 8853, 29908, 1800, 13, 9651, 274, 29918, 4039, 426, 710, 29913, 1192, 518, 7583, 2278, 4055, 313, 3332, 310, 4055, 5096, 4638, 313, 4381, 29901, 8853, 29908, 1800, 13, 9651, 282, 29918, 1429, 426, 1761, 29913, 1192, 518, 7264, 363, 13587, 278, 3847, 21503, 4314, 4514, 313, 4381, 29901, 426, 2636, 1800, 13, 9651, 4055, 29918, 1429, 426, 1761, 29913, 1192, 518, 7264, 363, 13587, 599, 278, 8282, 29962, 313, 4381, 29901, 426, 2636, 1800, 13, 9651, 4344, 426, 1761, 29913, 1192, 518, 1293, 363, 13587, 599, 1014, 18010, 1476, 29962, 313, 4381, 29901, 426, 2636, 1800, 13, 9651, 7442, 29881, 426, 11227, 29913, 1192, 518, 10401, 731, 716, 8600, 338, 623, 2760, 304, 5096, 29962, 313, 4381, 29901, 426, 8824, 1800, 13, 13, 4706, 16969, 29901, 13, 9651, 2178, 6273, 4502, 304, 372, 526, 4133, 1156, 1641, 4784, 13, 4706, 9995, 13, 13, 4706, 396, 29871, 299, 29886, 11761, 278, 11265, 310, 716, 9657, 29879, 297, 278, 282, 29918, 1429, 13, 4706, 565, 313, 20461, 29889, 4039, 2804, 274, 29918, 4039, 29897, 322, 313, 3696, 1275, 376, 2962, 29908, 1125, 13, 9651, 4055, 29918, 1429, 29889, 4397, 29898, 20461, 29889, 4039, 29897, 13, 9651, 565, 7442, 29881, 29901, 13, 18884, 396, 788, 716, 8600, 746, 4344, 526, 1970, 533, 2168, 304, 1863, 13, 18884, 903, 29886, 29918, 8977, 353, 11117, 11991, 2396, 19997, 525, 5029, 2396, 5124, 29913, 13, 18884, 282, 29918, 1429, 29889, 4397, 7373, 29886, 29918, 8977, 29897, 13, 9651, 282, 29918, 4039, 353, 274, 29918, 4039, 13, 9651, 274, 29918, 4039, 353, 21268, 29889, 4039, 13, 9651, 7442, 29881, 353, 5852, 13, 13, 4706, 25342, 313, 20461, 29889, 4039, 1275, 274, 29918, 4039, 29897, 322, 313, 3696, 1275, 376, 355, 29908, 1125, 13, 13, 9651, 565, 7431, 29898, 4039, 29918, 1429, 29897, 1275, 29871, 29896, 29901, 13, 18884, 396, 1833, 2278, 373, 5096, 13, 18884, 565, 7431, 29898, 29886, 29918, 1429, 29897, 1405, 29871, 29900, 29901, 13, 462, 1678, 396, 2278, 756, 4344, 13, 462, 1678, 903, 5145, 353, 282, 29918, 1429, 29889, 7323, 580, 13, 462, 1678, 903, 5145, 1839, 5029, 2033, 353, 1583, 3032, 3177, 29918, 517, 29918, 8977, 29898, 20461, 29897, 13, 13, 18884, 1683, 29901, 13, 462, 1678, 903, 5145, 353, 11117, 11991, 2396, 19997, 13, 462, 795, 525, 5029, 2396, 1583, 3032, 3177, 29918, 517, 29918, 8977, 29898, 20461, 2915, 13, 18884, 4344, 29889, 4397, 7373, 5145, 29897, 13, 18884, 274, 29918, 4039, 353, 5124, 13, 18884, 4055, 29918, 1429, 29889, 7323, 580, 13, 13, 9651, 25342, 7431, 29898, 4039, 29918, 1429, 29897, 1275, 7431, 29898, 29886, 29918, 1429, 1125, 13, 13, 18884, 903, 5145, 353, 282, 29918, 1429, 29889, 7323, 580, 13, 18884, 903, 3560, 353, 282, 29918, 1429, 29889, 7323, 580, 13, 18884, 903, 5145, 1839, 5029, 2033, 353, 1583, 3032, 3177, 29918, 517, 29918, 8977, 29898, 20461, 29897, 13, 18884, 903, 3560, 1839, 11991, 13359, 4397, 7373, 5145, 29897, 13, 18884, 282, 29918, 1429, 29889, 4397, 7373, 3560, 29897, 13, 13, 18884, 4055, 29918, 1429, 29889, 7323, 580, 13, 18884, 274, 29918, 4039, 353, 4055, 29918, 1429, 14352, 29896, 29962, 13, 18884, 565, 7431, 29898, 4039, 29918, 1429, 29897, 1405, 29871, 29896, 29901, 13, 462, 1678, 282, 29918, 4039, 353, 4055, 29918, 1429, 14352, 29906, 29962, 13, 18884, 1683, 29901, 13, 462, 1678, 282, 29918, 4039, 353, 5124, 13, 13, 9651, 1683, 29901, 13, 18884, 903, 3560, 353, 282, 29918, 1429, 29889, 7323, 580, 13, 18884, 903, 5145, 353, 1583, 3032, 3177, 29918, 517, 29918, 8977, 29898, 20461, 29897, 13, 18884, 903, 3560, 1839, 11991, 13359, 4397, 7373, 5145, 29897, 13, 18884, 282, 29918, 1429, 29889, 4397, 7373, 3560, 29897, 13, 13, 18884, 4055, 29918, 1429, 29889, 7323, 580, 13, 18884, 274, 29918, 4039, 353, 4055, 29918, 1429, 14352, 29896, 29962, 13, 18884, 565, 7431, 29898, 4039, 29918, 1429, 29897, 1405, 29871, 29896, 29901, 13, 462, 1678, 282, 29918, 4039, 353, 4055, 29918, 1429, 14352, 29906, 29962, 13, 18884, 1683, 29901, 13, 462, 1678, 282, 29918, 4039, 353, 5124, 13, 13, 9651, 7442, 29881, 353, 7700, 13, 9651, 21268, 29889, 8551, 580, 13, 13, 4706, 736, 518, 3696, 29892, 21268, 29892, 282, 29918, 4039, 29892, 274, 29918, 4039, 29892, 282, 29918, 1429, 29892, 13, 18884, 4055, 29918, 1429, 29892, 4344, 29892, 7442, 29881, 29962, 13, 13, 1678, 822, 903, 3177, 29918, 517, 29918, 8977, 29898, 1311, 29892, 2943, 13776, 1125, 13, 4706, 9995, 29961, 18455, 2943, 1543, 8393, 304, 8600, 29962, 13, 13, 4706, 7670, 1742, 11842, 9331, 29901, 13, 9651, 2943, 426, 300, 29889, 300, 929, 29889, 2642, 9643, 29889, 2642, 29913, 1192, 5159, 313, 4381, 29901, 8853, 29908, 1800, 13, 13, 4706, 16969, 29901, 13, 9651, 518, 8977, 29962, 1192, 518, 11513, 6943, 599, 278, 5352, 29892, 1767, 11000, 13, 462, 539, 11122, 297, 278, 2943, 29962, 13, 4706, 9995, 13, 4706, 848, 353, 6571, 13, 4706, 848, 1839, 5552, 2033, 353, 426, 29876, 29961, 29900, 5387, 302, 29961, 29896, 29962, 363, 302, 297, 2943, 29889, 7076, 28296, 13, 4706, 848, 1839, 726, 2033, 353, 2943, 29889, 726, 13, 4706, 848, 1839, 4039, 2033, 353, 2943, 29889, 4039, 13, 4706, 736, 848, 13, 13, 13, 1990, 1060, 4928, 517, 21533, 29901, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 2752, 2433, 29374, 13, 4706, 1583, 29889, 4993, 353, 2752, 13, 13, 1678, 822, 3588, 29918, 517, 29918, 8977, 29898, 1311, 1125, 13, 4706, 13812, 353, 24409, 11726, 29898, 4993, 29922, 1311, 29889, 4993, 29897, 13, 4706, 921, 4928, 29918, 11338, 353, 1583, 29889, 657, 29918, 15843, 29918, 1853, 29918, 1272, 29898, 16680, 29897, 13, 4706, 848, 353, 6571, 13, 4706, 363, 4055, 297, 921, 4928, 29918, 11338, 29901, 13, 9651, 848, 29961, 4039, 1839, 978, 2033, 29962, 353, 1583, 29889, 5510, 29918, 3134, 29918, 8269, 29898, 4039, 29892, 13812, 29897, 13, 4706, 736, 848, 13, 13, 1678, 822, 679, 29918, 15843, 29918, 1853, 29918, 1272, 29898, 1311, 29892, 8845, 29918, 16680, 1125, 13, 13, 4706, 599, 29918, 18010, 353, 8845, 29918, 16680, 29889, 4478, 29918, 18010, 580, 13, 4706, 1962, 29918, 8768, 353, 5159, 13, 4706, 363, 7573, 297, 599, 29918, 18010, 29901, 13, 9651, 565, 7573, 29901, 13, 18884, 1962, 29918, 8768, 353, 518, 10998, 978, 2396, 6251, 1839, 5029, 16215, 5552, 16215, 978, 7464, 13, 462, 18884, 525, 4039, 2396, 6251, 1839, 5029, 16215, 4039, 2033, 29913, 13, 462, 18884, 363, 6251, 297, 7573, 1839, 11991, 2033, 29962, 13, 4706, 736, 1962, 29918, 8768, 13, 13, 1678, 822, 6088, 29918, 3134, 29918, 8269, 29898, 1311, 29892, 4055, 29918, 1272, 29892, 4903, 29918, 17609, 1125, 13, 4706, 3847, 29918, 4039, 353, 4055, 29918, 1272, 1839, 4039, 2033, 13, 4706, 3847, 29918, 978, 353, 4055, 29918, 1272, 1839, 978, 2033, 13, 13, 4706, 1014, 29918, 17664, 353, 4903, 29918, 17609, 29889, 4478, 29918, 3177, 29918, 5552, 29898, 4039, 29922, 3560, 29918, 4039, 29892, 13, 462, 462, 462, 268, 1024, 29922, 3560, 29918, 978, 29897, 13, 4706, 565, 525, 19676, 1542, 29915, 297, 3847, 29918, 4039, 29901, 13, 9651, 1962, 353, 1583, 29889, 5510, 29918, 5729, 486, 7384, 29898, 1491, 29918, 17664, 29897, 13, 4706, 25342, 525, 12857, 1542, 29915, 297, 3847, 29918, 4039, 29901, 13, 9651, 1962, 353, 1583, 29889, 5510, 29918, 12857, 8768, 29898, 1491, 29918, 17664, 29897, 13, 4706, 1683, 29901, 13, 9651, 1962, 353, 1051, 29898, 1491, 29918, 17664, 29897, 13, 4706, 736, 1962, 13, 13, 1678, 822, 6088, 29918, 5729, 486, 7384, 29898, 1311, 29892, 4280, 29918, 17609, 1125, 13, 13, 4706, 1962, 353, 6571, 13, 4706, 363, 1543, 29918, 1272, 297, 4280, 29918, 17609, 29901, 13, 9651, 1962, 1839, 5552, 2033, 353, 1543, 29918, 1272, 1839, 5029, 16215, 5552, 2033, 13, 9651, 1962, 1839, 16506, 2033, 353, 5159, 13, 9651, 565, 1543, 29918, 1272, 1839, 11991, 2033, 29901, 13, 18884, 363, 1014, 29918, 5029, 297, 1543, 29918, 1272, 1839, 11991, 2033, 29901, 13, 462, 1678, 565, 525, 16506, 29915, 297, 1014, 29918, 5029, 1839, 5029, 16215, 4039, 2033, 29901, 13, 462, 4706, 5665, 29918, 1272, 353, 1583, 29889, 5510, 29918, 16506, 29898, 1491, 29918, 5029, 1839, 11991, 11287, 13, 462, 4706, 1962, 1839, 16506, 13359, 4397, 29898, 16506, 29918, 1272, 29897, 13, 462, 1678, 1683, 29901, 13, 462, 4706, 1209, 13, 13, 4706, 736, 1962, 13, 13, 1678, 822, 6088, 29918, 16506, 29898, 1311, 29892, 5665, 29918, 17664, 1125, 13, 13, 4706, 5665, 29918, 4905, 353, 5159, 13, 4706, 363, 1543, 297, 5665, 29918, 17664, 29901, 13, 9651, 1543, 29918, 1272, 353, 1583, 29889, 5510, 29918, 5029, 29898, 5029, 29897, 13, 9651, 5665, 29918, 4905, 29889, 4397, 29898, 5029, 29918, 1272, 29897, 13, 4706, 736, 5665, 29918, 4905, 13, 13, 1678, 822, 6088, 29918, 5029, 29898, 1311, 29892, 1543, 1125, 13, 4706, 1962, 353, 6571, 13, 13, 4706, 565, 525, 11991, 29915, 297, 1543, 29901, 13, 9651, 1962, 1839, 4039, 2033, 353, 1543, 1839, 5029, 16215, 4039, 2033, 13, 9651, 1962, 1839, 5552, 2033, 353, 1543, 1839, 5029, 16215, 5552, 2033, 13, 9651, 1543, 29918, 11991, 353, 1543, 1839, 11991, 2033, 13, 9651, 1962, 1839, 11991, 29918, 1272, 2033, 353, 5159, 13, 9651, 363, 2278, 297, 1543, 29918, 11991, 29901, 13, 18884, 565, 525, 12857, 1542, 29915, 297, 2278, 1839, 5029, 16215, 4039, 2033, 29901, 13, 462, 1678, 2278, 29918, 1272, 353, 1583, 29889, 5510, 29918, 12857, 8768, 29898, 5145, 29897, 13, 462, 1678, 1962, 1839, 11991, 29918, 1272, 13359, 4397, 29898, 5145, 29918, 1272, 29897, 13, 4706, 1683, 29901, 13, 9651, 1962, 1839, 4039, 2033, 353, 1543, 1839, 4039, 2033, 13, 9651, 1962, 1839, 5552, 2033, 353, 1543, 1839, 5552, 2033, 13, 4706, 736, 1962, 13, 13, 1678, 822, 6088, 29918, 12857, 8768, 29898, 1311, 29892, 2560, 29918, 5029, 1125, 13, 13, 4706, 1962, 353, 6571, 13, 4706, 1018, 29901, 13, 9651, 1543, 29918, 11991, 353, 2560, 29918, 5029, 1839, 11991, 2033, 13, 9651, 363, 2278, 29918, 5029, 297, 1543, 29918, 11991, 29901, 13, 18884, 565, 525, 5060, 19902, 29915, 297, 2278, 29918, 5029, 1839, 5029, 16215, 4039, 2033, 29901, 13, 462, 1678, 1962, 1839, 5060, 4146, 1080, 2033, 353, 11117, 5552, 2396, 2278, 29918, 5029, 1839, 5029, 16215, 5552, 2033, 29913, 13, 462, 1678, 24345, 29918, 1272, 353, 1583, 29889, 5510, 29918, 5060, 4146, 1080, 29898, 5145, 29918, 5029, 1839, 11991, 11287, 13, 462, 1678, 1962, 1839, 5060, 4146, 1080, 16215, 5060, 4146, 1080, 2033, 353, 24345, 29918, 1272, 13, 4706, 5174, 20948, 29901, 13, 9651, 1543, 29918, 1272, 353, 1051, 29898, 12857, 29918, 5029, 29897, 13, 9651, 1543, 29918, 1272, 353, 1543, 29918, 1272, 29961, 29900, 29962, 13, 9651, 1543, 29918, 11991, 353, 1543, 29918, 1272, 1839, 11991, 2033, 13, 9651, 1543, 29918, 11991, 353, 1543, 29918, 11991, 29961, 29900, 22322, 11991, 2033, 13, 13, 9651, 1962, 1839, 5060, 4146, 1080, 2033, 353, 5159, 13, 9651, 363, 848, 297, 1543, 29918, 11991, 29901, 13, 18884, 565, 525, 5029, 29915, 297, 848, 29901, 13, 462, 1678, 1962, 1839, 5060, 4146, 1080, 13359, 4397, 29898, 1272, 1839, 5029, 16215, 5552, 11287, 29871, 13, 18884, 1683, 29901, 13, 462, 268, 565, 525, 1195, 6513, 29915, 297, 848, 1839, 4039, 2033, 29901, 13, 462, 308, 1962, 1839, 5060, 4146, 1080, 13359, 4397, 3319, 29915, 1195, 2848, 2396, 1272, 1839, 5552, 2033, 1800, 13, 462, 268, 565, 525, 3317, 6513, 29915, 297, 848, 1839, 4039, 2033, 29901, 13, 462, 308, 1962, 1839, 5060, 4146, 1080, 13359, 4397, 3319, 29915, 3317, 2848, 2396, 1272, 1839, 5552, 2033, 1800, 13, 4706, 736, 1962, 13, 13, 1678, 822, 6088, 29918, 5060, 4146, 1080, 29898, 1311, 29892, 24345, 29918, 17609, 1125, 13, 13, 4706, 1962, 353, 5159, 13, 4706, 363, 24345, 297, 24345, 29918, 17609, 29901, 13, 9651, 24345, 29918, 1272, 353, 6571, 13, 9651, 24345, 29918, 1272, 1839, 18605, 279, 800, 2033, 353, 5159, 13, 9651, 24345, 29918, 1272, 1839, 2848, 29918, 1272, 2033, 353, 5159, 13, 9651, 565, 525, 5029, 29915, 297, 24345, 29901, 13, 18884, 565, 525, 264, 4680, 362, 29915, 297, 24345, 1839, 5029, 16215, 4039, 2033, 29901, 13, 462, 1678, 14115, 279, 362, 29918, 1272, 353, 1583, 29889, 5510, 29918, 18605, 279, 800, 29898, 5060, 19902, 1839, 11991, 11287, 13, 462, 1678, 24345, 29918, 1272, 1839, 18605, 279, 800, 13359, 4397, 29898, 18605, 279, 362, 29918, 1272, 29897, 13, 462, 1678, 24345, 29918, 1272, 1839, 5552, 2033, 353, 24345, 1839, 5029, 16215, 5552, 2033, 13, 18884, 25342, 525, 6513, 29915, 297, 24345, 1839, 5029, 16215, 4039, 2033, 29901, 13, 462, 1678, 24345, 29918, 1272, 1839, 5552, 2033, 353, 24345, 1839, 5029, 16215, 5552, 2033, 13, 462, 1678, 24345, 29918, 1272, 1839, 2848, 29918, 1272, 13359, 4397, 29898, 5060, 19902, 1839, 5029, 16215, 5552, 11287, 13, 9651, 1683, 29901, 13, 18884, 24345, 29918, 1272, 1839, 5552, 2033, 353, 24345, 1839, 5552, 2033, 13, 13, 9651, 1962, 29889, 4397, 29898, 5060, 19902, 29918, 1272, 29897, 13, 13, 4706, 736, 1962, 13, 13, 1678, 822, 6088, 29918, 18605, 279, 800, 29898, 1311, 29892, 22447, 362, 29918, 17609, 1125, 13, 13, 4706, 1962, 353, 11117, 6735, 800, 2396, 5124, 29913, 13, 4706, 363, 14115, 279, 362, 297, 22447, 362, 29918, 17609, 29901, 13, 9651, 565, 525, 18317, 29915, 297, 14115, 279, 362, 1839, 5029, 16215, 4039, 2033, 29901, 13, 18884, 25495, 353, 14115, 279, 362, 1839, 11991, 2033, 13, 18884, 9732, 353, 11117, 12663, 2396, 5159, 29913, 13, 18884, 363, 17195, 297, 25495, 29901, 13, 462, 1678, 9732, 1839, 12663, 13359, 4397, 3319, 29915, 5552, 2396, 17195, 1839, 5552, 7464, 13, 462, 462, 462, 259, 525, 726, 2396, 6024, 726, 2033, 1800, 13, 13, 18884, 1962, 1839, 6735, 800, 2033, 353, 9732, 13, 4706, 736, 1962, 13, 2 ]

pnacl/driver/tests/filetype_test.py

kapkic/native_client

1

88349

<reponame>kapkic/native_client<filename>pnacl/driver/tests/filetype_test.py #!/usr/bin/python2 # Copyright (c) 2013 The Native Client Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import unittest from driver_env import env import driver_test_utils import driver_tools import filetype class TestFiletypeCache(driver_test_utils.DriverTesterCommon): def setUp(self): super(TestFiletypeCache, self).setUp() driver_test_utils.ApplyTestEnvOverrides(env) def getFakeLLAndBitcodeFile(self): with self.getTemp(suffix='.ll') as t: with self.getTemp(suffix='.bc') as b: t.write(''' define i32 @main() { ret i32 0 } ''') t.close() b.close() driver_tools.RunDriver('as', [t.name, '-o', b.name]) return t, b def test_ll_bc_filetypes(self): if not driver_test_utils.CanRunHost(): return ll, bc = self.getFakeLLAndBitcodeFile() self.assertTrue(filetype.FileType(ll.name) == 'll') self.assertTrue(filetype.FileType(bc.name) == 'po') self.assertFalse(filetype.IsLLVMBitcode(ll.name)) self.assertTrue(filetype.IsLLVMBitcode(bc.name)) def test_inplace_finalize(self): if not driver_test_utils.CanRunHost(): return ll, bc = self.getFakeLLAndBitcodeFile() self.assertTrue(filetype.FileType(bc.name) == 'po') self.assertTrue(filetype.IsLLVMBitcode(bc.name)) self.assertFalse(filetype.IsPNaClBitcode(bc.name)) driver_tools.RunDriver('finalize', [bc.name]) self.assertFalse(filetype.IsLLVMBitcode(bc.name)) self.assertTrue(filetype.IsPNaClBitcode(bc.name)) self.assertTrue(filetype.FileType(bc.name) == 'pexe')

[ 1, 529, 276, 1112, 420, 29958, 29895, 16681, 293, 29914, 11487, 29918, 4645, 29966, 9507, 29958, 21257, 562, 29880, 29914, 9465, 29914, 21150, 29914, 1445, 1853, 29918, 1688, 29889, 2272, 13, 29937, 14708, 4855, 29914, 2109, 29914, 4691, 29906, 13, 29937, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29941, 450, 19042, 12477, 13189, 943, 29889, 2178, 10462, 21676, 29889, 13, 29937, 4803, 310, 445, 2752, 775, 338, 4095, 287, 491, 263, 350, 7230, 29899, 3293, 19405, 393, 508, 367, 13, 29937, 1476, 297, 278, 365, 2965, 1430, 1660, 934, 29889, 13, 13, 5215, 443, 27958, 13, 13, 3166, 7156, 29918, 6272, 1053, 8829, 13, 5215, 7156, 29918, 1688, 29918, 13239, 13, 5215, 7156, 29918, 8504, 13, 5215, 934, 1853, 13, 13, 13, 1990, 4321, 2283, 1853, 10408, 29898, 9465, 29918, 1688, 29918, 13239, 29889, 12376, 3057, 261, 18877, 1125, 13, 29871, 822, 731, 3373, 29898, 1311, 1125, 13, 1678, 2428, 29898, 3057, 2283, 1853, 10408, 29892, 1583, 467, 842, 3373, 580, 13, 1678, 7156, 29918, 1688, 29918, 13239, 29889, 2052, 368, 3057, 21745, 3563, 24040, 29898, 6272, 29897, 13, 13, 29871, 822, 679, 29943, 1296, 2208, 2855, 21591, 401, 2283, 29898, 1311, 1125, 13, 1678, 411, 1583, 29889, 657, 15637, 29898, 2146, 600, 861, 2433, 29889, 645, 1495, 408, 260, 29901, 13, 418, 411, 1583, 29889, 657, 15637, 29898, 2146, 600, 861, 2433, 29889, 12328, 1495, 408, 289, 29901, 13, 4706, 260, 29889, 3539, 877, 4907, 13, 7922, 474, 29941, 29906, 732, 3396, 580, 426, 13, 29871, 3240, 474, 29941, 29906, 29871, 29900, 13, 29913, 13, 4907, 1495, 13, 4706, 260, 29889, 5358, 580, 13, 4706, 289, 29889, 5358, 580, 13, 4706, 7156, 29918, 8504, 29889, 6558, 12376, 877, 294, 742, 518, 29873, 29889, 978, 29892, 17411, 29877, 742, 289, 29889, 978, 2314, 13, 4706, 736, 260, 29892, 289, 13, 13, 29871, 822, 1243, 29918, 645, 29918, 12328, 29918, 1445, 8768, 29898, 1311, 1125, 13, 1678, 565, 451, 7156, 29918, 1688, 29918, 13239, 29889, 6028, 6558, 8514, 7295, 13, 418, 736, 13, 1678, 11148, 29892, 289, 29883, 353, 1583, 29889, 657, 29943, 1296, 2208, 2855, 21591, 401, 2283, 580, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 2283, 1542, 29898, 645, 29889, 978, 29897, 1275, 525, 645, 1495, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 2283, 1542, 29898, 12328, 29889, 978, 29897, 1275, 525, 1129, 1495, 13, 1678, 1583, 29889, 9294, 8824, 29898, 1445, 1853, 29889, 3624, 2208, 9219, 21591, 401, 29898, 645, 29889, 978, 876, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 3624, 2208, 9219, 21591, 401, 29898, 12328, 29889, 978, 876, 13, 13, 29871, 822, 1243, 29918, 262, 6689, 29918, 8394, 675, 29898, 1311, 1125, 13, 1678, 565, 451, 7156, 29918, 1688, 29918, 13239, 29889, 6028, 6558, 8514, 7295, 13, 418, 736, 13, 1678, 11148, 29892, 289, 29883, 353, 1583, 29889, 657, 29943, 1296, 2208, 2855, 21591, 401, 2283, 580, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 2283, 1542, 29898, 12328, 29889, 978, 29897, 1275, 525, 1129, 1495, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 3624, 2208, 9219, 21591, 401, 29898, 12328, 29889, 978, 876, 13, 1678, 1583, 29889, 9294, 8824, 29898, 1445, 1853, 29889, 3624, 29925, 13695, 6821, 21591, 401, 29898, 12328, 29889, 978, 876, 13, 1678, 7156, 29918, 8504, 29889, 6558, 12376, 877, 8394, 675, 742, 518, 12328, 29889, 978, 2314, 13, 1678, 1583, 29889, 9294, 8824, 29898, 1445, 1853, 29889, 3624, 2208, 9219, 21591, 401, 29898, 12328, 29889, 978, 876, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 3624, 29925, 13695, 6821, 21591, 401, 29898, 12328, 29889, 978, 876, 13, 1678, 1583, 29889, 9294, 5574, 29898, 1445, 1853, 29889, 2283, 1542, 29898, 12328, 29889, 978, 29897, 1275, 525, 412, 17115, 1495, 13, 2 ]

iwant/core/messagebaker.py

nirvik/iWant

323

107514

<gh_stars>100-1000 import json from functools import wraps import time_uuid from constants import INDEXED, LEADER_NOT_READY,\ ERROR_LIST_ALL_FILES, LEADER,\ HASH_DUMP, FILE_SYS_EVENT, SEARCH_REQ, SEARCH_RES, \ LOOKUP, IWANT_PEER_FILE, PEER_LOOKUP_RESPONSE,\ SEND_PEER_DETAILS, FILE_DETAILS_RESP, INIT_FILE_REQ, \ FILE_TO_BE_DOWNLOADED, DEAD,\ NEW_PEER, BCAST_LEDGER, NEW_LEADER, REMOVE_LEADER, \ SECRET_VAL, HANDLE_PONG, FACE_OFF,\ RE_ELECTION, ALIVE, HANDLE_ALIVE,\ HANDLE_PING, REQ_CHUNK, END_GAME, FILE_CONFIRMATION_MESSAGE,\ INTERESTED, UNCHOKE, PEER_DEAD, CHANGE, SHARE, NEW_DOWNLOAD_FOLDER_RES,\ NEW_SHARED_FOLDER_RES, HASH_IDENTITY_RESPONSE, GET_HASH_IDENTITY, HASH_NOT_PRESENT def finishing(func): @wraps(func) def jsonify(key, **kwargs): _EOL = '\r' return json.dumps(func(key, **kwargs)) + _EOL return jsonify @finishing def bake(key, **kwargs): ''' This utility is for crafting `action messages` to be sent across the network. The `action_msg` contains `type` and `payload` ''' action_msg = {} action_msg['type'] = key action_msg['payload'] = None payload = {} def _craft_new_peer_msg(): # print NEW_PEER, kwargs try: payload['identity'] = kwargs['identity'].hex except: payload['identity'] = None try: payload['leader_id'] = kwargs['leader_id'].hex except: payload['leader_id'] = None action_msg['payload'] = payload return action_msg def _craft_remove_leader_msg(): # print REMOVE_LEADER payload['leader_id'] = kwargs['leader_id'].hex action_msg['payload'] = payload return action_msg def _craft_re_election_msg(): # print RE_ELECTION payload['election_id'] = kwargs['election_id'] action_msg['payload'] = payload return action_msg def _craft_handle_pong_msg(): # print HANDLE_PONG payload['secret_value'] = kwargs['secret_value'] action_msg['payload'] = payload return action_msg def _craft_new_leader_msg(): # print NEW_LEADER payload['leader_id'] = kwargs['leader_id'].hex payload['election_id'] = kwargs['election_id'] payload['secret_value'] = kwargs['secret_value'] action_msg['payload'] = payload return action_msg def _craft_alive_msg(): # print ALIVE payload['election_id'] = kwargs['election_id'] action_msg['payload'] = payload return action_msg def _craft_handle_alive_msg(): # print HANDLE_ALIVE payload['election_id'] = kwargs['election_id'] action_msg['payload'] = payload return action_msg def _craft_handle_ping_msg(): payload['ping'] = kwargs['ping'] action_msg['payload'] = payload return action_msg def _craft_bcast_ledger_msg(): try: payload['leader_id'] = kwargs['leader_id'].hex except AttributeError: payload['leader_id'] = None ledger = {} for uuid, value in kwargs['ledger'].iteritems(): ledger[uuid.hex] = value payload['ledger'] = ledger payload['secret_value'] = kwargs['secret_value'] action_msg['payload'] = payload return action_msg def _craft_secret_val_msg(): # print SECRET_VAL payload['secret_value'] = kwargs['secret_value'] action_msg['payload'] = payload return action_msg def _craft_face_off_msg(): # print FACE_OFF payload['with_leader'] = kwargs['with_leader'] action_msg['payload'] = payload return action_msg def _craft_dead_msg(): try: payload['dead_uuid'] = kwargs['dead_uuid'].hex except AttributeError: payload['dead_uuid'] = None payload['secret_value'] = kwargs['secret_value'] action_msg['payload'] = payload return action_msg # SERVER MESSAGES def _craft_unchoke_msg(): payload['unchoke'] = kwargs['unchoke'] action_msg['payload'] = payload return action_msg def _craft_error_list_all_files_msg(): payload['reason'] = kwargs['reason'] action_msg['payload'] = payload return action_msg def _craft_leader_not_ready_msg(): payload['reason'] = kwargs['reason'] action_msg['payload'] = payload return action_msg def _craft_search_response_msg(): payload['search_query_response'] = kwargs['search_query_response'] action_msg['payload'] = payload return action_msg def _craft_peer_lookup_response_msg(): payload['peer_lookup_response'] = kwargs['peer_lookup_response'] action_msg['payload'] = payload return action_msg def _craft_hash_dump_msg(): payload['identity'] = kwargs['identity'].hex payload['operation'] = kwargs['operation'] action_msg['payload'] = payload return action_msg def _craft_init_file_req_msg(): payload['filehash'] = kwargs['filehash'] action_msg['payload'] = payload return action_msg def _craft_leader_msg(): payload['leader'] = kwargs['leader'] action_msg['payload'] = payload return action_msg def _craft_peer_dead_msg(): try: payload['dead_uuid'] = kwargs['dead_uuid'].hex except AttributeError: payload['dead_uuid'] = None action_msg['payload'] = payload return action_msg def _craft_file_sys_event_msg(): payload['ADD'] = kwargs['ADD'] payload['DEL'] = kwargs['DEL'] payload['shared_folder'] = kwargs['shared_folder'] action_msg['payload'] = payload return action_msg def _craft_search_req_msg(): payload['search_query'] = kwargs['search_query'] action_msg['payload'] = payload return action_msg def _craft_lookup_msg(): payload['search_query'] = kwargs['search_query'] action_msg['payload'] = payload return action_msg def _craft_iwant_peer_file_msg(): payload['filehash'] = kwargs['filehash'] action_msg['payload'] = payload return action_msg def _craft_send_peer_details_msg(): payload['filehash'] = kwargs['filehash'] action_msg['payload'] = payload return action_msg def _craft_indexed_msg(): payload['ADD'] = kwargs['ADD'] payload['DEL'] = kwargs['DEL'] payload['shared_folder'] = kwargs['shared_folder'] action_msg['payload'] = payload return action_msg def _craft_req_chunk_msg(): payload['piece_data'] = kwargs['piece_data'] action_msg['payload'] = payload # print action_msg return action_msg def _craft_end_game_msg(): payload['end_game'] = kwargs['end_game'] action_msg['payload'] = payload return action_msg def _craft_file_details_resp(): pass def _craft_file_to_be_downloaded_msg(): # payload['filesize'] = kwargs['filesize'] # payload['filename'] = kwargs['filename'] payload['message'] = kwargs['message'] action_msg['payload'] = payload return action_msg def _craft_interested_msg(): payload['filehash'] = kwargs['filehash'] action_msg['payload'] = payload return action_msg def _craft_file_confirmation_message(): payload['piecehashes'] = kwargs['piecehashes'] action_msg['payload'] = payload return action_msg def _craft_change_download_path_msg(): payload['download_folder'] = kwargs['download_folder'] action_msg['payload'] = payload return action_msg def _craft_share_new_folder_msg(): payload['shared_folder'] = kwargs['shared_folder'] action_msg['payload'] = payload return action_msg def _craft_new_download_folder_response_msg(): payload['download_folder_response'] = kwargs[ 'download_folder_response'] action_msg['payload'] = payload return action_msg def _craft_new_shared_folder_response_msg(): payload['shared_folder_response'] = kwargs['shared_folder_response'] action_msg['payload'] = payload return action_msg def _craft_get_hash_identity_msg(): payload['checksum'] = kwargs['checksum'] action_msg['payload'] = payload return action_msg def _craft_hash_identity_response_msg(): payload['file_structure_response'] = kwargs['file_structure_response'] action_msg['payload'] = payload return action_msg def _craft_hash_not_present_msg(): payload['reason'] = kwargs['reason'] action_msg['payload'] = payload return action_msg dispatcher = { NEW_PEER: _craft_new_peer_msg, REMOVE_LEADER: _craft_remove_leader_msg, RE_ELECTION: _craft_re_election_msg, HANDLE_PONG: _craft_handle_pong_msg, NEW_LEADER: _craft_new_leader_msg, ALIVE: _craft_alive_msg, HANDLE_PING: _craft_handle_ping_msg, HANDLE_ALIVE: _craft_handle_alive_msg, BCAST_LEDGER: _craft_bcast_ledger_msg, SECRET_VAL: _craft_secret_val_msg, FACE_OFF: _craft_face_off_msg, DEAD: _craft_dead_msg, UNCHOKE: _craft_unchoke_msg, ERROR_LIST_ALL_FILES: _craft_error_list_all_files_msg, LEADER_NOT_READY: _craft_leader_not_ready_msg, SEARCH_RES: _craft_search_response_msg, HASH_DUMP: _craft_hash_dump_msg, INIT_FILE_REQ: _craft_init_file_req_msg, LEADER: _craft_leader_msg, PEER_DEAD: _craft_peer_dead_msg, FILE_SYS_EVENT: _craft_file_sys_event_msg, SEARCH_REQ: _craft_search_req_msg, LOOKUP: _craft_lookup_msg, IWANT_PEER_FILE: _craft_iwant_peer_file_msg, SEND_PEER_DETAILS: _craft_send_peer_details_msg, PEER_LOOKUP_RESPONSE: _craft_peer_lookup_response_msg, INDEXED: _craft_indexed_msg, REQ_CHUNK: _craft_req_chunk_msg, END_GAME: _craft_end_game_msg, INTERESTED: _craft_interested_msg, FILE_DETAILS_RESP: _craft_file_details_resp, FILE_CONFIRMATION_MESSAGE: _craft_file_confirmation_message, FILE_TO_BE_DOWNLOADED: _craft_file_to_be_downloaded_msg, CHANGE: _craft_change_download_path_msg, SHARE: _craft_share_new_folder_msg, NEW_DOWNLOAD_FOLDER_RES: _craft_new_download_folder_response_msg, NEW_SHARED_FOLDER_RES: _craft_new_shared_folder_response_msg, GET_HASH_IDENTITY: _craft_get_hash_identity_msg, HASH_IDENTITY_RESPONSE: _craft_hash_identity_response_msg, HASH_NOT_PRESENT: _craft_hash_not_present_msg } return dispatcher[key]() def unbake(message=None): json_msg = json.loads(message) if 'leader_id' in json_msg['payload']: leader_uuid = json_msg['payload']['leader_id'] if leader_uuid is not None: json_msg['payload']['leader_id'] = time_uuid.TimeUUID(leader_uuid) if 'identity' in json_msg['payload']: identity_uuid = json_msg['payload']['identity'] if identity_uuid is not None: json_msg['payload']['identity'] = time_uuid.TimeUUID(identity_uuid) if 'dead_uuid' in json_msg['payload']: dead_uuid = json_msg['payload']['dead_uuid'] if dead_uuid is not None: json_msg['payload']['dead_uuid'] = time_uuid.TimeUUID(dead_uuid) if 'ledger' in json_msg['payload']: ledger = {} ledger_response = json_msg['payload']['ledger'] if ledger_response: for uuid, values in ledger_response.iteritems(): ledger[time_uuid.TimeUUID(uuid)] = values json_msg['payload']['ledger'] = ledger action_dispatcher, action_payload = json_msg['type'], json_msg['payload'] return action_dispatcher, action_payload

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29900, 29899, 29896, 29900, 29900, 29900, 13, 5215, 4390, 13, 3166, 2090, 312, 8789, 1053, 11463, 567, 13, 5215, 931, 29918, 25118, 13, 3166, 17727, 1053, 2672, 19577, 3352, 29892, 11060, 3035, 1001, 29918, 12256, 29918, 16310, 29979, 2053, 13, 1678, 14431, 29918, 24360, 29918, 9818, 29918, 24483, 29892, 11060, 3035, 1001, 2053, 13, 1678, 379, 24943, 29918, 14849, 3580, 29892, 24080, 29918, 14816, 29903, 29918, 22240, 3919, 29892, 3725, 1718, 3210, 29918, 1525, 29984, 29892, 3725, 1718, 3210, 29918, 15989, 29892, 320, 13, 1678, 11247, 8949, 4897, 29892, 306, 29956, 13566, 29918, 4162, 1001, 29918, 7724, 29892, 349, 29923, 1001, 29918, 3927, 8949, 4897, 29918, 1525, 5550, 1164, 1660, 2053, 13, 1678, 317, 11794, 29918, 4162, 1001, 29918, 2287, 6040, 6227, 29903, 29892, 24080, 29918, 2287, 6040, 6227, 29903, 29918, 1525, 5550, 29892, 2672, 1806, 29918, 7724, 29918, 1525, 29984, 29892, 320, 13, 1678, 24080, 29918, 4986, 29918, 15349, 29918, 3970, 16048, 3927, 29909, 2287, 29928, 29892, 5012, 3035, 2053, 13, 1678, 29091, 29918, 4162, 1001, 29892, 350, 5454, 1254, 29918, 20566, 17070, 29892, 29091, 29918, 1307, 3035, 1001, 29892, 5195, 6720, 12064, 29918, 1307, 3035, 1001, 29892, 320, 13, 1678, 3725, 22245, 29911, 29918, 8932, 29892, 379, 9468, 1307, 29918, 29925, 20614, 29892, 383, 11538, 29918, 27681, 2053, 13, 1678, 5195, 29918, 29923, 3281, 2725, 29892, 319, 5265, 12064, 29892, 379, 9468, 1307, 29918, 1964, 18474, 2053, 13, 1678, 379, 9468, 1307, 29918, 29925, 4214, 29892, 5195, 29984, 29918, 3210, 3904, 29968, 29892, 11056, 29918, 12739, 2303, 29892, 24080, 29918, 6007, 3738, 29934, 29924, 8098, 29918, 2303, 1799, 10461, 2053, 13, 1678, 2672, 4945, 29923, 1254, 3352, 29892, 8291, 3210, 29949, 6059, 29892, 349, 29923, 1001, 29918, 2287, 3035, 29892, 5868, 24336, 29892, 317, 15715, 1525, 29892, 29091, 29918, 3970, 16048, 29428, 29918, 29943, 5607, 8032, 29918, 15989, 2053, 13, 1678, 29091, 29918, 23498, 19386, 29918, 29943, 5607, 8032, 29918, 15989, 29892, 379, 24943, 29918, 1367, 3919, 11937, 29918, 1525, 5550, 1164, 1660, 29892, 12354, 29918, 29950, 24943, 29918, 1367, 3919, 11937, 29892, 379, 24943, 29918, 12256, 29918, 15094, 29903, 3919, 13, 13, 13, 1753, 28321, 29898, 9891, 1125, 13, 1678, 732, 29893, 336, 567, 29898, 9891, 29897, 13, 1678, 822, 4390, 1598, 29898, 1989, 29892, 3579, 19290, 1125, 13, 4706, 903, 29923, 5607, 353, 11297, 29878, 29915, 13, 4706, 736, 4390, 29889, 29881, 17204, 29898, 9891, 29898, 1989, 29892, 3579, 19290, 876, 718, 903, 29923, 5607, 13, 1678, 736, 4390, 1598, 13, 13, 13, 29992, 4951, 14424, 13, 1753, 289, 1296, 29898, 1989, 29892, 3579, 19290, 1125, 13, 1678, 14550, 13, 4706, 910, 19725, 338, 363, 25554, 292, 421, 2467, 7191, 29952, 304, 367, 2665, 4822, 278, 3564, 29889, 13, 4706, 450, 421, 2467, 29918, 7645, 29952, 3743, 421, 1853, 29952, 322, 421, 23813, 29952, 13, 1678, 14550, 13, 1678, 3158, 29918, 7645, 353, 6571, 13, 1678, 3158, 29918, 7645, 1839, 1853, 2033, 353, 1820, 13, 1678, 3158, 29918, 7645, 1839, 23813, 2033, 353, 6213, 13, 1678, 20092, 353, 6571, 13, 13, 1678, 822, 903, 17293, 29918, 1482, 29918, 412, 261, 29918, 7645, 7295, 13, 4706, 396, 1596, 29091, 29918, 4162, 1001, 29892, 9049, 5085, 13, 4706, 1018, 29901, 13, 9651, 20092, 1839, 22350, 2033, 353, 9049, 5085, 1839, 22350, 13359, 20970, 13, 4706, 5174, 29901, 13, 9651, 20092, 1839, 22350, 2033, 353, 6213, 13, 4706, 1018, 29901, 13, 9651, 20092, 1839, 280, 1664, 29918, 333, 2033, 353, 9049, 5085, 1839, 280, 1664, 29918, 333, 13359, 20970, 13, 4706, 5174, 29901, 13, 9651, 20092, 1839, 280, 1664, 29918, 333, 2033, 353, 6213, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 5992, 29918, 280, 1664, 29918, 7645, 7295, 13, 4706, 396, 1596, 5195, 6720, 12064, 29918, 1307, 3035, 1001, 13, 4706, 20092, 1839, 280, 1664, 29918, 333, 2033, 353, 9049, 5085, 1839, 280, 1664, 29918, 333, 13359, 20970, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 276, 29918, 29872, 1464, 29918, 7645, 7295, 13, 4706, 396, 1596, 5195, 29918, 29923, 3281, 2725, 13, 4706, 20092, 1839, 29872, 1464, 29918, 333, 2033, 353, 9049, 5085, 1839, 29872, 1464, 29918, 333, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 8411, 29918, 29886, 549, 29918, 7645, 7295, 13, 4706, 396, 1596, 379, 9468, 1307, 29918, 29925, 20614, 13, 4706, 20092, 1839, 19024, 29918, 1767, 2033, 353, 9049, 5085, 1839, 19024, 29918, 1767, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1482, 29918, 280, 1664, 29918, 7645, 7295, 13, 4706, 396, 1596, 29091, 29918, 1307, 3035, 1001, 13, 4706, 20092, 1839, 280, 1664, 29918, 333, 2033, 353, 9049, 5085, 1839, 280, 1664, 29918, 333, 13359, 20970, 13, 4706, 20092, 1839, 29872, 1464, 29918, 333, 2033, 353, 9049, 5085, 1839, 29872, 1464, 29918, 333, 2033, 13, 4706, 20092, 1839, 19024, 29918, 1767, 2033, 353, 9049, 5085, 1839, 19024, 29918, 1767, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 284, 573, 29918, 7645, 7295, 13, 4706, 396, 1596, 319, 5265, 12064, 13, 4706, 20092, 1839, 29872, 1464, 29918, 333, 2033, 353, 9049, 5085, 1839, 29872, 1464, 29918, 333, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 8411, 29918, 284, 573, 29918, 7645, 7295, 13, 4706, 396, 1596, 379, 9468, 1307, 29918, 1964, 18474, 13, 4706, 20092, 1839, 29872, 1464, 29918, 333, 2033, 353, 9049, 5085, 1839, 29872, 1464, 29918, 333, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 8411, 29918, 15702, 29918, 7645, 7295, 13, 4706, 20092, 1839, 15702, 2033, 353, 9049, 5085, 1839, 15702, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 29890, 4384, 29918, 839, 914, 29918, 7645, 7295, 13, 4706, 1018, 29901, 13, 9651, 20092, 1839, 280, 1664, 29918, 333, 2033, 353, 9049, 5085, 1839, 280, 1664, 29918, 333, 13359, 20970, 13, 4706, 5174, 23833, 2392, 29901, 13, 9651, 20092, 1839, 280, 1664, 29918, 333, 2033, 353, 6213, 13, 4706, 5331, 914, 353, 6571, 13, 4706, 363, 318, 5416, 29892, 995, 297, 9049, 5085, 1839, 839, 914, 13359, 1524, 7076, 7295, 13, 9651, 5331, 914, 29961, 25118, 29889, 20970, 29962, 353, 995, 13, 4706, 20092, 1839, 839, 914, 2033, 353, 5331, 914, 13, 4706, 20092, 1839, 19024, 29918, 1767, 2033, 353, 9049, 5085, 1839, 19024, 29918, 1767, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 19024, 29918, 791, 29918, 7645, 7295, 13, 4706, 396, 1596, 3725, 22245, 29911, 29918, 8932, 13, 4706, 20092, 1839, 19024, 29918, 1767, 2033, 353, 9049, 5085, 1839, 19024, 29918, 1767, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 2161, 29918, 2696, 29918, 7645, 7295, 13, 4706, 396, 1596, 383, 11538, 29918, 27681, 13, 4706, 20092, 1839, 2541, 29918, 280, 1664, 2033, 353, 9049, 5085, 1839, 2541, 29918, 280, 1664, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 311, 328, 29918, 7645, 7295, 13, 4706, 1018, 29901, 13, 9651, 20092, 1839, 311, 328, 29918, 25118, 2033, 353, 9049, 5085, 1839, 311, 328, 29918, 25118, 13359, 20970, 13, 4706, 5174, 23833, 2392, 29901, 13, 9651, 20092, 1839, 311, 328, 29918, 25118, 2033, 353, 6213, 13, 4706, 20092, 1839, 19024, 29918, 1767, 2033, 353, 9049, 5085, 1839, 19024, 29918, 1767, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 396, 26996, 5348, 22986, 1799, 10461, 29903, 13, 1678, 822, 903, 17293, 29918, 348, 1859, 446, 29918, 7645, 7295, 13, 4706, 20092, 1839, 348, 1859, 446, 2033, 353, 9049, 5085, 1839, 348, 1859, 446, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 2704, 29918, 1761, 29918, 497, 29918, 5325, 29918, 7645, 7295, 13, 4706, 20092, 1839, 23147, 2033, 353, 9049, 5085, 1839, 23147, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 280, 1664, 29918, 1333, 29918, 2040, 29918, 7645, 7295, 13, 4706, 20092, 1839, 23147, 2033, 353, 9049, 5085, 1839, 23147, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 4478, 29918, 5327, 29918, 7645, 7295, 13, 4706, 20092, 1839, 4478, 29918, 1972, 29918, 5327, 2033, 353, 9049, 5085, 1839, 4478, 29918, 1972, 29918, 5327, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 412, 261, 29918, 20401, 29918, 5327, 29918, 7645, 7295, 13, 4706, 20092, 1839, 412, 261, 29918, 20401, 29918, 5327, 2033, 353, 9049, 5085, 1839, 412, 261, 29918, 20401, 29918, 5327, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 8568, 29918, 15070, 29918, 7645, 7295, 13, 4706, 20092, 1839, 22350, 2033, 353, 9049, 5085, 1839, 22350, 13359, 20970, 13, 4706, 20092, 1839, 16453, 2033, 353, 9049, 5085, 1839, 16453, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 2344, 29918, 1445, 29918, 7971, 29918, 7645, 7295, 13, 4706, 20092, 1839, 1445, 8568, 2033, 353, 9049, 5085, 1839, 1445, 8568, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 280, 1664, 29918, 7645, 7295, 13, 4706, 20092, 1839, 280, 1664, 2033, 353, 9049, 5085, 1839, 280, 1664, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 412, 261, 29918, 311, 328, 29918, 7645, 7295, 13, 4706, 1018, 29901, 13, 9651, 20092, 1839, 311, 328, 29918, 25118, 2033, 353, 9049, 5085, 1839, 311, 328, 29918, 25118, 13359, 20970, 13, 4706, 5174, 23833, 2392, 29901, 13, 9651, 20092, 1839, 311, 328, 29918, 25118, 2033, 353, 6213, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1445, 29918, 9675, 29918, 3696, 29918, 7645, 7295, 13, 4706, 20092, 1839, 17744, 2033, 353, 9049, 5085, 1839, 17744, 2033, 13, 4706, 20092, 1839, 2287, 29931, 2033, 353, 9049, 5085, 1839, 2287, 29931, 2033, 13, 4706, 20092, 1839, 12366, 29918, 12083, 2033, 353, 9049, 5085, 1839, 12366, 29918, 12083, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 4478, 29918, 7971, 29918, 7645, 7295, 13, 4706, 20092, 1839, 4478, 29918, 1972, 2033, 353, 9049, 5085, 1839, 4478, 29918, 1972, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 20401, 29918, 7645, 7295, 13, 4706, 20092, 1839, 4478, 29918, 1972, 2033, 353, 9049, 5085, 1839, 4478, 29918, 1972, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 9429, 424, 29918, 412, 261, 29918, 1445, 29918, 7645, 7295, 13, 4706, 20092, 1839, 1445, 8568, 2033, 353, 9049, 5085, 1839, 1445, 8568, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 6717, 29918, 412, 261, 29918, 14144, 29918, 7645, 7295, 13, 4706, 20092, 1839, 1445, 8568, 2033, 353, 9049, 5085, 1839, 1445, 8568, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 2248, 287, 29918, 7645, 7295, 13, 4706, 20092, 1839, 17744, 2033, 353, 9049, 5085, 1839, 17744, 2033, 13, 4706, 20092, 1839, 2287, 29931, 2033, 353, 9049, 5085, 1839, 2287, 29931, 2033, 13, 4706, 20092, 1839, 12366, 29918, 12083, 2033, 353, 9049, 5085, 1839, 12366, 29918, 12083, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 7971, 29918, 29812, 29918, 7645, 7295, 13, 4706, 20092, 1839, 12343, 346, 29918, 1272, 2033, 353, 9049, 5085, 1839, 12343, 346, 29918, 1272, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 396, 1596, 3158, 29918, 7645, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 355, 29918, 11802, 29918, 7645, 7295, 13, 4706, 20092, 1839, 355, 29918, 11802, 2033, 353, 9049, 5085, 1839, 355, 29918, 11802, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1445, 29918, 14144, 29918, 13713, 7295, 13, 4706, 1209, 13, 13, 1678, 822, 903, 17293, 29918, 1445, 29918, 517, 29918, 915, 29918, 10382, 287, 29918, 7645, 7295, 13, 4706, 396, 20092, 1839, 5325, 675, 2033, 353, 9049, 5085, 1839, 5325, 675, 2033, 13, 4706, 396, 20092, 1839, 9507, 2033, 353, 9049, 5085, 1839, 9507, 2033, 13, 4706, 20092, 1839, 4906, 2033, 353, 9049, 5085, 1839, 4906, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1639, 2868, 29918, 7645, 7295, 13, 4706, 20092, 1839, 1445, 8568, 2033, 353, 9049, 5085, 1839, 1445, 8568, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1445, 29918, 26897, 362, 29918, 4906, 7295, 13, 4706, 20092, 1839, 12343, 346, 8568, 267, 2033, 353, 9049, 5085, 1839, 12343, 346, 8568, 267, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 3167, 29918, 10382, 29918, 2084, 29918, 7645, 7295, 13, 4706, 20092, 1839, 10382, 29918, 12083, 2033, 353, 9049, 5085, 1839, 10382, 29918, 12083, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 13653, 29918, 1482, 29918, 12083, 29918, 7645, 7295, 13, 4706, 20092, 1839, 12366, 29918, 12083, 2033, 353, 9049, 5085, 1839, 12366, 29918, 12083, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1482, 29918, 10382, 29918, 12083, 29918, 5327, 29918, 7645, 7295, 13, 4706, 20092, 1839, 10382, 29918, 12083, 29918, 5327, 2033, 353, 9049, 5085, 29961, 13, 9651, 525, 10382, 29918, 12083, 29918, 5327, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 1482, 29918, 12366, 29918, 12083, 29918, 5327, 29918, 7645, 7295, 13, 4706, 20092, 1839, 12366, 29918, 12083, 29918, 5327, 2033, 353, 9049, 5085, 1839, 12366, 29918, 12083, 29918, 5327, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 657, 29918, 8568, 29918, 22350, 29918, 7645, 7295, 13, 4706, 20092, 1839, 3198, 2083, 2033, 353, 9049, 5085, 1839, 3198, 2083, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 8568, 29918, 22350, 29918, 5327, 29918, 7645, 7295, 13, 4706, 20092, 1839, 1445, 29918, 23905, 29918, 5327, 2033, 353, 9049, 5085, 1839, 1445, 29918, 23905, 29918, 5327, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 822, 903, 17293, 29918, 8568, 29918, 1333, 29918, 6338, 29918, 7645, 7295, 13, 4706, 20092, 1839, 23147, 2033, 353, 9049, 5085, 1839, 23147, 2033, 13, 4706, 3158, 29918, 7645, 1839, 23813, 2033, 353, 20092, 13, 4706, 736, 3158, 29918, 7645, 13, 13, 1678, 13916, 261, 353, 426, 13, 4706, 29091, 29918, 4162, 1001, 29901, 903, 17293, 29918, 1482, 29918, 412, 261, 29918, 7645, 29892, 13, 4706, 5195, 6720, 12064, 29918, 1307, 3035, 1001, 29901, 903, 17293, 29918, 5992, 29918, 280, 1664, 29918, 7645, 29892, 13, 4706, 5195, 29918, 29923, 3281, 2725, 29901, 903, 17293, 29918, 276, 29918, 29872, 1464, 29918, 7645, 29892, 13, 4706, 379, 9468, 1307, 29918, 29925, 20614, 29901, 903, 17293, 29918, 8411, 29918, 29886, 549, 29918, 7645, 29892, 13, 4706, 29091, 29918, 1307, 3035, 1001, 29901, 903, 17293, 29918, 1482, 29918, 280, 1664, 29918, 7645, 29892, 13, 4706, 319, 5265, 12064, 29901, 903, 17293, 29918, 284, 573, 29918, 7645, 29892, 13, 4706, 379, 9468, 1307, 29918, 29925, 4214, 29901, 903, 17293, 29918, 8411, 29918, 15702, 29918, 7645, 29892, 13, 4706, 379, 9468, 1307, 29918, 1964, 18474, 29901, 903, 17293, 29918, 8411, 29918, 284, 573, 29918, 7645, 29892, 13, 4706, 350, 5454, 1254, 29918, 20566, 17070, 29901, 903, 17293, 29918, 29890, 4384, 29918, 839, 914, 29918, 7645, 29892, 13, 4706, 3725, 22245, 29911, 29918, 8932, 29901, 903, 17293, 29918, 19024, 29918, 791, 29918, 7645, 29892, 13, 4706, 383, 11538, 29918, 27681, 29901, 903, 17293, 29918, 2161, 29918, 2696, 29918, 7645, 29892, 13, 4706, 5012, 3035, 29901, 903, 17293, 29918, 311, 328, 29918, 7645, 29892, 13, 13, 4706, 8291, 3210, 29949, 6059, 29901, 903, 17293, 29918, 348, 1859, 446, 29918, 7645, 29892, 13, 4706, 14431, 29918, 24360, 29918, 9818, 29918, 24483, 29901, 903, 17293, 29918, 2704, 29918, 1761, 29918, 497, 29918, 5325, 29918, 7645, 29892, 13, 4706, 11060, 3035, 1001, 29918, 12256, 29918, 16310, 29979, 29901, 903, 17293, 29918, 280, 1664, 29918, 1333, 29918, 2040, 29918, 7645, 29892, 13, 4706, 3725, 1718, 3210, 29918, 15989, 29901, 903, 17293, 29918, 4478, 29918, 5327, 29918, 7645, 29892, 13, 4706, 379, 24943, 29918, 14849, 3580, 29901, 903, 17293, 29918, 8568, 29918, 15070, 29918, 7645, 29892, 13, 4706, 2672, 1806, 29918, 7724, 29918, 1525, 29984, 29901, 903, 17293, 29918, 2344, 29918, 1445, 29918, 7971, 29918, 7645, 29892, 13, 4706, 11060, 3035, 1001, 29901, 903, 17293, 29918, 280, 1664, 29918, 7645, 29892, 13, 4706, 349, 29923, 1001, 29918, 2287, 3035, 29901, 903, 17293, 29918, 412, 261, 29918, 311, 328, 29918, 7645, 29892, 13, 4706, 24080, 29918, 14816, 29903, 29918, 22240, 3919, 29901, 903, 17293, 29918, 1445, 29918, 9675, 29918, 3696, 29918, 7645, 29892, 13, 4706, 3725, 1718, 3210, 29918, 1525, 29984, 29901, 903, 17293, 29918, 4478, 29918, 7971, 29918, 7645, 29892, 13, 4706, 11247, 8949, 4897, 29901, 903, 17293, 29918, 20401, 29918, 7645, 29892, 13, 4706, 306, 29956, 13566, 29918, 4162, 1001, 29918, 7724, 29901, 903, 17293, 29918, 9429, 424, 29918, 412, 261, 29918, 1445, 29918, 7645, 29892, 13, 4706, 317, 11794, 29918, 4162, 1001, 29918, 2287, 6040, 6227, 29903, 29901, 903, 17293, 29918, 6717, 29918, 412, 261, 29918, 14144, 29918, 7645, 29892, 13, 4706, 349, 29923, 1001, 29918, 3927, 8949, 4897, 29918, 1525, 5550, 1164, 1660, 29901, 903, 17293, 29918, 412, 261, 29918, 20401, 29918, 5327, 29918, 7645, 29892, 13, 4706, 2672, 19577, 3352, 29901, 903, 17293, 29918, 2248, 287, 29918, 7645, 29892, 13, 4706, 5195, 29984, 29918, 3210, 3904, 29968, 29901, 903, 17293, 29918, 7971, 29918, 29812, 29918, 7645, 29892, 13, 4706, 11056, 29918, 12739, 2303, 29901, 903, 17293, 29918, 355, 29918, 11802, 29918, 7645, 29892, 13, 4706, 2672, 4945, 29923, 1254, 3352, 29901, 903, 17293, 29918, 1639, 2868, 29918, 7645, 29892, 13, 4706, 24080, 29918, 2287, 6040, 6227, 29903, 29918, 1525, 5550, 29901, 903, 17293, 29918, 1445, 29918, 14144, 29918, 13713, 29892, 13, 4706, 24080, 29918, 6007, 3738, 29934, 29924, 8098, 29918, 2303, 1799, 10461, 29901, 903, 17293, 29918, 1445, 29918, 26897, 362, 29918, 4906, 29892, 13, 4706, 24080, 29918, 4986, 29918, 15349, 29918, 3970, 16048, 3927, 29909, 2287, 29928, 29901, 903, 17293, 29918, 1445, 29918, 517, 29918, 915, 29918, 10382, 287, 29918, 7645, 29892, 13, 13, 4706, 5868, 24336, 29901, 903, 17293, 29918, 3167, 29918, 10382, 29918, 2084, 29918, 7645, 29892, 13, 4706, 317, 15715, 1525, 29901, 903, 17293, 29918, 13653, 29918, 1482, 29918, 12083, 29918, 7645, 29892, 13, 4706, 29091, 29918, 3970, 16048, 29428, 29918, 29943, 5607, 8032, 29918, 15989, 29901, 903, 17293, 29918, 1482, 29918, 10382, 29918, 12083, 29918, 5327, 29918, 7645, 29892, 13, 4706, 29091, 29918, 23498, 19386, 29918, 29943, 5607, 8032, 29918, 15989, 29901, 903, 17293, 29918, 1482, 29918, 12366, 29918, 12083, 29918, 5327, 29918, 7645, 29892, 13, 13, 4706, 12354, 29918, 29950, 24943, 29918, 1367, 3919, 11937, 29901, 903, 17293, 29918, 657, 29918, 8568, 29918, 22350, 29918, 7645, 29892, 13, 4706, 379, 24943, 29918, 1367, 3919, 11937, 29918, 1525, 5550, 1164, 1660, 29901, 903, 17293, 29918, 8568, 29918, 22350, 29918, 5327, 29918, 7645, 29892, 13, 4706, 379, 24943, 29918, 12256, 29918, 15094, 29903, 3919, 29901, 903, 17293, 29918, 8568, 29918, 1333, 29918, 6338, 29918, 7645, 13, 1678, 500, 13, 1678, 736, 13916, 261, 29961, 1989, 29962, 580, 13, 13, 13, 1753, 443, 29890, 1296, 29898, 4906, 29922, 8516, 1125, 13, 1678, 4390, 29918, 7645, 353, 4390, 29889, 18132, 29898, 4906, 29897, 13, 1678, 565, 525, 280, 1664, 29918, 333, 29915, 297, 4390, 29918, 7645, 1839, 23813, 2033, 29901, 13, 4706, 11822, 29918, 25118, 353, 4390, 29918, 7645, 1839, 23813, 16215, 280, 1664, 29918, 333, 2033, 13, 4706, 565, 11822, 29918, 25118, 338, 451, 6213, 29901, 13, 9651, 4390, 29918, 7645, 1839, 23813, 16215, 280, 1664, 29918, 333, 2033, 353, 931, 29918, 25118, 29889, 2481, 29965, 11150, 29898, 280, 1664, 29918, 25118, 29897, 13, 13, 1678, 565, 525, 22350, 29915, 297, 4390, 29918, 7645, 1839, 23813, 2033, 29901, 13, 4706, 10110, 29918, 25118, 353, 4390, 29918, 7645, 1839, 23813, 16215, 22350, 2033, 13, 4706, 565, 10110, 29918, 25118, 338, 451, 6213, 29901, 13, 9651, 4390, 29918, 7645, 1839, 23813, 16215, 22350, 2033, 353, 931, 29918, 25118, 29889, 2481, 29965, 11150, 29898, 22350, 29918, 25118, 29897, 13, 13, 1678, 565, 525, 311, 328, 29918, 25118, 29915, 297, 4390, 29918, 7645, 1839, 23813, 2033, 29901, 13, 4706, 7123, 29918, 25118, 353, 4390, 29918, 7645, 1839, 23813, 16215, 311, 328, 29918, 25118, 2033, 13, 4706, 565, 7123, 29918, 25118, 338, 451, 6213, 29901, 13, 9651, 4390, 29918, 7645, 1839, 23813, 16215, 311, 328, 29918, 25118, 2033, 353, 931, 29918, 25118, 29889, 2481, 29965, 11150, 29898, 311, 328, 29918, 25118, 29897, 13, 13, 1678, 565, 525, 839, 914, 29915, 297, 4390, 29918, 7645, 1839, 23813, 2033, 29901, 13, 4706, 5331, 914, 353, 6571, 13, 4706, 5331, 914, 29918, 5327, 353, 4390, 29918, 7645, 1839, 23813, 16215, 839, 914, 2033, 13, 4706, 565, 5331, 914, 29918, 5327, 29901, 13, 9651, 363, 318, 5416, 29892, 1819, 297, 5331, 914, 29918, 5327, 29889, 1524, 7076, 7295, 13, 18884, 5331, 914, 29961, 2230, 29918, 25118, 29889, 2481, 29965, 11150, 29898, 25118, 4638, 353, 1819, 13, 4706, 4390, 29918, 7645, 1839, 23813, 16215, 839, 914, 2033, 353, 5331, 914, 13, 13, 1678, 3158, 29918, 13369, 261, 29892, 3158, 29918, 23813, 353, 4390, 29918, 7645, 1839, 1853, 7464, 4390, 29918, 7645, 1839, 23813, 2033, 13, 1678, 736, 3158, 29918, 13369, 261, 29892, 3158, 29918, 23813, 13, 2 ]

commands/cmd_twitterflw.py

robinstechprojects/RobinsDiscordAssistant

1

117612

import socket import time import langfile def ex(args, message, client, invoke): args_out = "" if len(args) > 0: args_out = "\n\n*Attatched arguments %s*" % args.__str__()[1:-1].replace("'", "") argstr = args.__str__()[1:-1].replace("'", "") client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) #create InternetSocket for ipV4 #SOCK_STREAM - TCP SOCK_DGRAM - UDP server_addr = ('172.16.58.3', 1338) client_socket.connect(server_addr) #connect the socket | UDP does not need connect client_socket.send(bytes("tweetrequest", "utf8")) #send message (byte stream) time.sleep(4) print(argstr) client_socket.send(bytes(argstr, "utf8")) #send message (byte stream) song = client_socket.recv(1024) print(str(song, "utf8")) yield from client.send_message(message.channel, langfile.lang_twitterflw + str(song, "utf8")) client_socket.close()

[ 1, 1053, 9909, 13, 5215, 931, 13, 5215, 6361, 1445, 13, 13, 1753, 429, 29898, 5085, 29892, 2643, 29892, 3132, 29892, 15928, 1125, 13, 13, 1678, 6389, 29918, 449, 353, 5124, 13, 1678, 565, 7431, 29898, 5085, 29897, 1405, 29871, 29900, 29901, 13, 4706, 6389, 29918, 449, 353, 6634, 29876, 29905, 29876, 29930, 4165, 905, 287, 6273, 1273, 29879, 20605, 1273, 6389, 17255, 710, 1649, 580, 29961, 29896, 13018, 29896, 1822, 6506, 703, 29915, 613, 20569, 13, 4706, 1852, 710, 353, 6389, 17255, 710, 1649, 580, 29961, 29896, 13018, 29896, 1822, 6506, 703, 29915, 613, 20569, 13, 4706, 3132, 29918, 11514, 353, 9909, 29889, 11514, 29898, 11514, 29889, 5098, 29918, 1177, 2544, 29892, 9909, 29889, 6156, 7077, 29918, 1254, 1525, 5194, 29897, 396, 3258, 4685, 11373, 363, 10377, 29963, 29946, 13, 29937, 6156, 7077, 29918, 1254, 1525, 5194, 448, 19374, 7791, 7077, 29918, 29928, 29954, 25058, 448, 501, 11191, 13, 4706, 1923, 29918, 10030, 353, 6702, 29896, 29955, 29906, 29889, 29896, 29953, 29889, 29945, 29947, 29889, 29941, 742, 29871, 29896, 29941, 29941, 29947, 29897, 13, 4706, 3132, 29918, 11514, 29889, 6915, 29898, 2974, 29918, 10030, 29897, 396, 6915, 278, 9909, 891, 501, 11191, 947, 451, 817, 4511, 13, 4706, 3132, 29918, 11514, 29889, 6717, 29898, 13193, 703, 29873, 16668, 3827, 613, 376, 9420, 29947, 5783, 396, 6717, 2643, 313, 10389, 4840, 29897, 13, 4706, 931, 29889, 17059, 29898, 29946, 29897, 13, 4706, 1596, 29898, 1191, 710, 29897, 13, 4706, 3132, 29918, 11514, 29889, 6717, 29898, 13193, 29898, 1191, 710, 29892, 376, 9420, 29947, 5783, 396, 6717, 2643, 313, 10389, 4840, 29897, 13, 4706, 4823, 353, 3132, 29918, 11514, 29889, 3757, 29894, 29898, 29896, 29900, 29906, 29946, 29897, 13, 4706, 1596, 29898, 710, 29898, 21453, 29892, 376, 9420, 29947, 5783, 13, 4706, 7709, 515, 3132, 29889, 6717, 29918, 4906, 29898, 4906, 29889, 12719, 29892, 6361, 1445, 29889, 3893, 29918, 24946, 1579, 29893, 718, 851, 29898, 21453, 29892, 376, 9420, 29947, 5783, 13, 13, 4706, 3132, 29918, 11514, 29889, 5358, 580, 13, 2 ]

tools/opt.py

hmtrii/tirg

0

17120

<gh_stars>0 class Opt: def __init__(self): self.dataset = "fashion200k" self.dataset_path = "./dataset/Fashion200k" self.batch_size = 32 self.embed_dim = 512 self.hashing = False self.retrieve_by_random = True

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 1990, 20693, 29901, 13, 12, 1753, 4770, 2344, 12035, 1311, 1125, 13, 12, 12, 1311, 29889, 24713, 353, 376, 29888, 10904, 29906, 29900, 29900, 29895, 29908, 13, 12, 12, 1311, 29889, 24713, 29918, 2084, 353, 376, 6904, 24713, 29914, 29943, 10904, 29906, 29900, 29900, 29895, 29908, 13, 12, 12, 1311, 29889, 16175, 29918, 2311, 353, 29871, 29941, 29906, 13, 12, 12, 1311, 29889, 17987, 29918, 6229, 353, 29871, 29945, 29896, 29906, 13, 12, 12, 1311, 29889, 8568, 292, 353, 7700, 13, 12, 12, 1311, 29889, 276, 509, 2418, 29918, 1609, 29918, 8172, 353, 5852, 2 ]

twistedcaldav/config.py

backwardn/ccs-calendarserver

462

67991

<filename>twistedcaldav/config.py<gh_stars>100-1000 ## # Copyright (c) 2005-2017 Apple Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ## __all__ = [ "Config", "ConfigDict", "ConfigProvider", "ConfigurationError", "config", ] import copy import hashlib import os class ConfigurationError(RuntimeError): """ Invalid server configuration. """ class ConfigDict(dict): """ Dictionary which can be accessed using attribute syntax, because that reads and writes nicer in code. For example: C{config.Thingo.Tiny.Tweak} instead of: C{config["Thingo"]["Tiny"]["Tweak"]} """ def __init__(self, mapping=None): if mapping is not None: for key, value in mapping.iteritems(): self[key] = value def __repr__(self): return "*" + dict.__repr__(self) def __setitem__(self, key, value): if key.startswith("_"): # Names beginning with "_" are reserved for real attributes raise KeyError("Keys may not begin with '_': %s" % (key,)) if isinstance(value, dict) and not isinstance(value, self.__class__): dict.__setitem__(self, key, self.__class__(value)) else: dict.__setitem__(self, key, value) def __setattr__(self, attr, value): if attr.startswith("_"): dict.__setattr__(self, attr, value) else: self[attr] = value def __getattr__(self, attr): if not attr.startswith("_") and attr in self: return self[attr] else: return dict.__getattribute__(self, attr) def __delattr__(self, attr): if not attr.startswith("_") and attr in self: del self[attr] else: dict.__delattr__(self, attr) class ConfigProvider(object): """ Configuration provider, abstraction for config storage/format/defaults. """ def __init__(self, defaults=None): """ Create configuration provider with given defaults. """ self._configFileName = None if defaults is None: self._defaults = ConfigDict() else: self._defaults = ConfigDict(copy.deepcopy(defaults)) self.importedFiles = [] self.includedFiles = [] self.missingFiles = [] def getDefaults(self): """ Return defaults. """ return self._defaults def setDefaults(self, defaults): """ Change defaults. """ self._defaults = ConfigDict(copy.deepcopy(defaults)) def getConfigFileName(self): """ Return current configuration file path and name. """ return self._configFileName def setConfigFileName(self, configFileName): """ Change configuration file path and name for next load operations. """ self._configFileName = configFileName if self._configFileName: self._configFileName = os.path.abspath(configFileName) def hasErrors(self): """ Return true if last load operation encountered any errors. """ return False def loadConfig(self): """ Load the configuration, return a dictionary of settings. """ return self._defaults class Config(object): def __init__(self, provider=None): if not provider: self._provider = ConfigProvider() else: self._provider = provider self._updating = False self._beforeResetHook = None self._afterResetHook = None self._preUpdateHooks = [] self._postUpdateHooks = [] self.reset() def __setattr__(self, attr, value): if "_data" in self.__dict__ and attr in self.__dict__["_data"]: self._data[attr] = value else: self.__dict__[attr] = value # So as not to cause a flurry of updates, don't mark ourselves # dirty when the attribute begins with an underscore if not attr.startswith("_"): self.__dict__["_dirty"] = True _dirty = False _data = () def __getattr__(self, attr): if self._dirty: self.update() if attr in self._data: return self._data[attr] raise AttributeError(attr) def __hasattr__(self, attr): return attr in self._data def __str__(self): return str(self._data) def get(self, attr, defaultValue): parts = attr.split(".") lastDict = self._data for part in parts[:-1]: if part not in lastDict: lastDict[attr] = ConfigDict() lastDict = lastDict.__getattr__(part) configItem = parts[-1] if configItem in lastDict: return lastDict[configItem] else: lastDict[configItem] = defaultValue return defaultValue def addResetHooks(self, before, after): """ Hooks for preserving config across reload( ) + reset( ) Each hook will be passed the config data; whatever the before hook returns will be passed as the second arg to the after hook. """ self._beforeResetHook = before self._afterResetHook = after def addPreUpdateHooks(self, hooks): self._preUpdateHooks.extend(hooks) def addPostUpdateHooks(self, hooks): self._postUpdateHooks.extend(hooks) def getProvider(self): return self._provider def setProvider(self, provider): self._provider = provider self.reset() def setDefaults(self, defaults): self._provider.setDefaults(defaults) self.reset() def updateDefaults(self, items): mergeData(self._provider.getDefaults(), items) self.update(items) def update(self, items=None, reloading=False): if self._updating: return self._updating = True if not isinstance(items, ConfigDict): items = ConfigDict(items) # Call hooks for hook in self._preUpdateHooks: hook(self._data, items, reloading=reloading) mergeData(self._data, items) for hook in self._postUpdateHooks: hook(self._data, reloading=reloading) self._updating = False self._dirty = False self._cachedSyncToken = None def load(self, configFile): self._provider.setConfigFileName(configFile) configDict = self._provider.loadConfig() if not self._provider.hasErrors(): self.update(configDict) else: raise ConfigurationError("Invalid configuration in %s" % (self._provider.getConfigFileName(),)) def reload(self): configDict = self._provider.loadConfig() if not self._provider.hasErrors(): if self._beforeResetHook: # Give the beforeResetHook a chance to stash away values we want # to preserve across the reload( ) preserved = self._beforeResetHook(self._data) else: preserved = None self.reset() if preserved and self._afterResetHook: # Pass the preserved data back to the afterResetHook self._afterResetHook(self._data, preserved) self.update(configDict, reloading=True) else: raise ConfigurationError( "Invalid configuration in %s" % (self._provider.getConfigFileName(), )) def reset(self): self._data = ConfigDict(copy.deepcopy(self._provider.getDefaults())) self._dirty = True self._syncTokenKeys = [] self._cachedSyncToken = None def getKeyPath(self, keyPath): """ Allows the getting of arbitrary nested dictionary keys via a single dot-separated string. For example, getKeyPath(self, "foo.bar.baz") would fetch parent["foo"]["bar"]["baz"]. If any of the keys don't exist, None is returned instead. @param keyPath: a dot-delimited string specifying the path of keys to traverse @type keyPath: C{str} @return: the value at keyPath """ parent = self parts = keyPath.split(".") for part in parts[:-1]: child = parent.get(part, None) if child is None: return None parent = child return parent.get(parts[-1], None) def addSyncTokenKey(self, keyPath): """ Indicates the specified key should be taken into account when generating the sync token. Also invalidates the (possibly) cached syncToken. @param keyPath: a dot-delimited string specifying the path of keys to traverse @type keyPath: C{str} """ if keyPath not in self._syncTokenKeys: self._syncTokenKeys.append(keyPath) self._cachedSyncToken = None def syncToken(self): """ Iterates the previously registered keys (sorted, so the order in which the keys were registered doesn't affect the hash) and generates an MD5 hash of the combined values. The hash is cached, and is invalidated during a reload or if invalidateSyncToken is called. @return: the sync token @rtype: C{str} """ if self._cachedSyncToken is None: pieces = [] self._syncTokenKeys.sort() for key in self._syncTokenKeys: value = self.getKeyPath(key) if value is None: value = "" pieces.append(key + ":" + str(value)) whole = "|".join(pieces) self._cachedSyncToken = hashlib.md5(whole).hexdigest() return self._cachedSyncToken def invalidateSyncToken(self): """ Invalidates the cached copy of the sync token. """ self._cachedSyncToken = None def joinToken(self, dataToken): """ Joins the config sync token with the dataToken. If EnableConfigSyncToken is False, the original dataToken is just returned """ if self.EnableConfigSyncToken: configToken = self.syncToken() return "{}/{}".format(dataToken, configToken) else: return dataToken def mergeData(oldData, newData): """ Merge two ConfigDict objects; oldData will be updated with all the keys and values from newData @param oldData: the object to modify @type oldData: ConfigDict @param newData: the object to copy data from @type newData: ConfigDict """ for key, value in newData.iteritems(): if isinstance(value, (dict,)): if key in oldData: assert isinstance(oldData[key], ConfigDict), \ "%r in %r is not a ConfigDict" % (oldData[key], oldData) else: oldData[key] = {} mergeData(oldData[key], value) else: oldData[key] = value def fullServerPath(base, path): if type(path) is str: return os.path.join(base, path) if path and path[0] not in ('/', '.',) else path else: return path config = Config()

[ 1, 529, 9507, 29958, 7516, 12652, 1052, 29881, 485, 29914, 2917, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29900, 29899, 29896, 29900, 29900, 29900, 13, 2277, 13, 29937, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29900, 29945, 29899, 29906, 29900, 29896, 29955, 12113, 9266, 29889, 2178, 10462, 21676, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 2277, 13, 13, 1649, 497, 1649, 353, 518, 13, 1678, 376, 3991, 613, 13, 1678, 376, 3991, 21533, 613, 13, 1678, 376, 3991, 6980, 613, 13, 1678, 376, 8614, 2392, 613, 13, 1678, 376, 2917, 613, 13, 29962, 13, 13, 5215, 3509, 13, 5215, 6608, 1982, 13, 5215, 2897, 13, 13, 13, 1990, 20999, 2392, 29898, 7944, 2392, 1125, 13, 1678, 9995, 13, 1678, 21403, 1923, 5285, 29889, 13, 1678, 9995, 13, 13, 13, 1990, 12782, 21533, 29898, 8977, 1125, 13, 1678, 9995, 13, 1678, 13343, 607, 508, 367, 20592, 773, 5352, 5877, 29892, 1363, 13, 1678, 393, 13623, 322, 15873, 16588, 261, 297, 775, 29889, 29871, 1152, 1342, 29901, 13, 418, 315, 29912, 2917, 29889, 1349, 20191, 29889, 29911, 4901, 29889, 29911, 25129, 29913, 13, 1678, 2012, 310, 29901, 13, 418, 315, 29912, 2917, 3366, 1349, 20191, 3108, 3366, 29911, 4901, 3108, 3366, 29911, 25129, 3108, 29913, 13, 1678, 9995, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 10417, 29922, 8516, 1125, 13, 4706, 565, 10417, 338, 451, 6213, 29901, 13, 9651, 363, 1820, 29892, 995, 297, 10417, 29889, 1524, 7076, 7295, 13, 18884, 1583, 29961, 1989, 29962, 353, 995, 13, 13, 1678, 822, 4770, 276, 558, 12035, 1311, 1125, 13, 4706, 736, 376, 20605, 718, 9657, 17255, 276, 558, 12035, 1311, 29897, 13, 13, 1678, 822, 4770, 842, 667, 12035, 1311, 29892, 1820, 29892, 995, 1125, 13, 4706, 565, 1820, 29889, 27382, 2541, 703, 27508, 1125, 13, 9651, 396, 14706, 6763, 411, 11119, 29908, 526, 21676, 363, 1855, 8393, 13, 9651, 12020, 7670, 2392, 703, 15506, 1122, 451, 3380, 411, 22868, 2396, 1273, 29879, 29908, 1273, 313, 1989, 29892, 876, 13, 13, 4706, 565, 338, 8758, 29898, 1767, 29892, 9657, 29897, 322, 451, 338, 8758, 29898, 1767, 29892, 1583, 17255, 1990, 1649, 1125, 13, 9651, 9657, 17255, 842, 667, 12035, 1311, 29892, 1820, 29892, 1583, 17255, 1990, 12035, 1767, 876, 13, 4706, 1683, 29901, 13, 9651, 9657, 17255, 842, 667, 12035, 1311, 29892, 1820, 29892, 995, 29897, 13, 13, 1678, 822, 4770, 842, 5552, 12035, 1311, 29892, 12421, 29892, 995, 1125, 13, 4706, 565, 12421, 29889, 27382, 2541, 703, 27508, 1125, 13, 9651, 9657, 17255, 842, 5552, 12035, 1311, 29892, 12421, 29892, 995, 29897, 13, 4706, 1683, 29901, 13, 9651, 1583, 29961, 5552, 29962, 353, 995, 13, 13, 1678, 822, 4770, 657, 5552, 12035, 1311, 29892, 12421, 1125, 13, 4706, 565, 451, 12421, 29889, 27382, 2541, 703, 29918, 1159, 322, 12421, 297, 1583, 29901, 13, 9651, 736, 1583, 29961, 5552, 29962, 13, 4706, 1683, 29901, 13, 9651, 736, 9657, 17255, 657, 12715, 12035, 1311, 29892, 12421, 29897, 13, 13, 1678, 822, 4770, 6144, 5552, 12035, 1311, 29892, 12421, 1125, 13, 4706, 565, 451, 12421, 29889, 27382, 2541, 703, 29918, 1159, 322, 12421, 297, 1583, 29901, 13, 9651, 628, 1583, 29961, 5552, 29962, 13, 4706, 1683, 29901, 13, 9651, 9657, 17255, 6144, 5552, 12035, 1311, 29892, 12421, 29897, 13, 13, 13, 1990, 12782, 6980, 29898, 3318, 1125, 13, 1678, 9995, 13, 1678, 20999, 13113, 29892, 27086, 428, 363, 2295, 8635, 29914, 4830, 29914, 4381, 29879, 29889, 13, 1678, 9995, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 21274, 29922, 8516, 1125, 13, 4706, 9995, 13, 4706, 6204, 5285, 13113, 411, 2183, 21274, 29889, 13, 4706, 9995, 13, 4706, 1583, 3032, 2917, 17020, 353, 6213, 13, 4706, 565, 21274, 338, 6213, 29901, 13, 9651, 1583, 3032, 4381, 29879, 353, 12782, 21533, 580, 13, 4706, 1683, 29901, 13, 9651, 1583, 3032, 4381, 29879, 353, 12782, 21533, 29898, 8552, 29889, 24535, 8552, 29898, 4381, 29879, 876, 13, 4706, 1583, 29889, 5215, 287, 10547, 353, 5159, 13, 4706, 1583, 29889, 11707, 287, 10547, 353, 5159, 13, 4706, 1583, 29889, 27259, 10547, 353, 5159, 13, 13, 1678, 822, 679, 24863, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 7106, 21274, 29889, 13, 4706, 9995, 13, 4706, 736, 1583, 3032, 4381, 29879, 13, 13, 1678, 822, 731, 24863, 29898, 1311, 29892, 21274, 1125, 13, 4706, 9995, 13, 4706, 10726, 21274, 29889, 13, 4706, 9995, 13, 4706, 1583, 3032, 4381, 29879, 353, 12782, 21533, 29898, 8552, 29889, 24535, 8552, 29898, 4381, 29879, 876, 13, 13, 1678, 822, 679, 3991, 17020, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 7106, 1857, 5285, 934, 2224, 322, 1024, 29889, 13, 4706, 9995, 13, 4706, 736, 1583, 3032, 2917, 17020, 13, 13, 1678, 822, 731, 3991, 17020, 29898, 1311, 29892, 2295, 17020, 1125, 13, 4706, 9995, 13, 4706, 10726, 5285, 934, 2224, 322, 1024, 363, 2446, 2254, 6931, 29889, 13, 4706, 9995, 13, 4706, 1583, 3032, 2917, 17020, 353, 2295, 17020, 13, 4706, 565, 1583, 3032, 2917, 17020, 29901, 13, 9651, 1583, 3032, 2917, 17020, 353, 2897, 29889, 2084, 29889, 370, 1028, 493, 29898, 2917, 17020, 29897, 13, 13, 1678, 822, 756, 22463, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 7106, 1565, 565, 1833, 2254, 5858, 18169, 738, 4436, 29889, 13, 4706, 9995, 13, 4706, 736, 7700, 13, 13, 1678, 822, 2254, 3991, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 16012, 278, 5285, 29892, 736, 263, 8600, 310, 6055, 29889, 13, 4706, 9995, 13, 4706, 736, 1583, 3032, 4381, 29879, 13, 13, 13, 1990, 12782, 29898, 3318, 1125, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 13113, 29922, 8516, 1125, 13, 4706, 565, 451, 13113, 29901, 13, 9651, 1583, 3032, 18121, 353, 12782, 6980, 580, 13, 4706, 1683, 29901, 13, 9651, 1583, 3032, 18121, 353, 13113, 13, 4706, 1583, 3032, 786, 26747, 353, 7700, 13, 4706, 1583, 3032, 11083, 27175, 29950, 2550, 353, 6213, 13, 4706, 1583, 3032, 7045, 27175, 29950, 2550, 353, 6213, 13, 4706, 1583, 3032, 1457, 6422, 29950, 2550, 29879, 353, 5159, 13, 4706, 1583, 3032, 2490, 6422, 29950, 2550, 29879, 353, 5159, 13, 4706, 1583, 29889, 12071, 580, 13, 13, 1678, 822, 4770, 842, 5552, 12035, 1311, 29892, 12421, 29892, 995, 1125, 13, 4706, 565, 11119, 1272, 29908, 297, 1583, 17255, 8977, 1649, 322, 12421, 297, 1583, 17255, 8977, 1649, 3366, 29918, 1272, 3108, 29901, 13, 9651, 1583, 3032, 1272, 29961, 5552, 29962, 353, 995, 13, 4706, 1683, 29901, 13, 9651, 1583, 17255, 8977, 1649, 29961, 5552, 29962, 353, 995, 13, 13, 4706, 396, 1105, 408, 451, 304, 4556, 263, 1652, 332, 719, 310, 11217, 29892, 1016, 29915, 29873, 2791, 20278, 13, 4706, 396, 26616, 746, 278, 5352, 16410, 411, 385, 23400, 3221, 13, 4706, 565, 451, 12421, 29889, 27382, 2541, 703, 27508, 1125, 13, 9651, 1583, 17255, 8977, 1649, 3366, 29918, 3972, 1017, 3108, 353, 5852, 13, 13, 1678, 903, 3972, 1017, 353, 7700, 13, 1678, 903, 1272, 353, 3861, 13, 13, 1678, 822, 4770, 657, 5552, 12035, 1311, 29892, 12421, 1125, 13, 4706, 565, 1583, 3032, 3972, 1017, 29901, 13, 9651, 1583, 29889, 5504, 580, 13, 13, 4706, 565, 12421, 297, 1583, 3032, 1272, 29901, 13, 9651, 736, 1583, 3032, 1272, 29961, 5552, 29962, 13, 4706, 12020, 23833, 2392, 29898, 5552, 29897, 13, 13, 1678, 822, 4770, 5349, 5552, 12035, 1311, 29892, 12421, 1125, 13, 4706, 736, 12421, 297, 1583, 3032, 1272, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 851, 29898, 1311, 3032, 1272, 29897, 13, 13, 1678, 822, 679, 29898, 1311, 29892, 12421, 29892, 2322, 1917, 1125, 13, 4706, 5633, 353, 12421, 29889, 5451, 17350, 1159, 13, 4706, 1833, 21533, 353, 1583, 3032, 1272, 13, 4706, 363, 760, 297, 5633, 7503, 29899, 29896, 5387, 13, 9651, 565, 760, 451, 297, 1833, 21533, 29901, 13, 18884, 1833, 21533, 29961, 5552, 29962, 353, 12782, 21533, 580, 13, 9651, 1833, 21533, 353, 1833, 21533, 17255, 657, 5552, 12035, 1595, 29897, 13, 4706, 2295, 2001, 353, 5633, 14352, 29896, 29962, 13, 13, 4706, 565, 2295, 2001, 297, 1833, 21533, 29901, 13, 9651, 736, 1833, 21533, 29961, 2917, 2001, 29962, 13, 4706, 1683, 29901, 13, 9651, 1833, 21533, 29961, 2917, 2001, 29962, 353, 2322, 1917, 13, 9651, 736, 2322, 1917, 13, 13, 1678, 822, 788, 27175, 29950, 2550, 29879, 29898, 1311, 29892, 1434, 29892, 1156, 1125, 13, 4706, 9995, 13, 4706, 29612, 29879, 363, 2225, 29530, 2295, 4822, 19763, 29898, 1723, 718, 10092, 29898, 1723, 13, 13, 4706, 7806, 12422, 674, 367, 4502, 278, 2295, 848, 29936, 6514, 278, 1434, 12422, 13, 4706, 3639, 674, 367, 4502, 408, 278, 1473, 1852, 304, 278, 1156, 12422, 29889, 13, 4706, 9995, 13, 4706, 1583, 3032, 11083, 27175, 29950, 2550, 353, 1434, 13, 4706, 1583, 3032, 7045, 27175, 29950, 2550, 353, 1156, 13, 13, 1678, 822, 788, 6572, 6422, 29950, 2550, 29879, 29898, 1311, 29892, 12422, 29879, 1125, 13, 4706, 1583, 3032, 1457, 6422, 29950, 2550, 29879, 29889, 21843, 29898, 1251, 12117, 29897, 13, 13, 1678, 822, 788, 6747, 6422, 29950, 2550, 29879, 29898, 1311, 29892, 12422, 29879, 1125, 13, 4706, 1583, 3032, 2490, 6422, 29950, 2550, 29879, 29889, 21843, 29898, 1251, 12117, 29897, 13, 13, 1678, 822, 679, 6980, 29898, 1311, 1125, 13, 4706, 736, 1583, 3032, 18121, 13, 13, 1678, 822, 731, 6980, 29898, 1311, 29892, 13113, 1125, 13, 4706, 1583, 3032, 18121, 353, 13113, 13, 4706, 1583, 29889, 12071, 580, 13, 13, 1678, 822, 731, 24863, 29898, 1311, 29892, 21274, 1125, 13, 4706, 1583, 3032, 18121, 29889, 842, 24863, 29898, 4381, 29879, 29897, 13, 4706, 1583, 29889, 12071, 580, 13, 13, 1678, 822, 2767, 24863, 29898, 1311, 29892, 4452, 1125, 13, 4706, 10366, 1469, 29898, 1311, 3032, 18121, 29889, 657, 24863, 3285, 4452, 29897, 13, 4706, 1583, 29889, 5504, 29898, 7076, 29897, 13, 13, 1678, 822, 2767, 29898, 1311, 29892, 4452, 29922, 8516, 29892, 337, 13234, 29922, 8824, 1125, 13, 4706, 565, 1583, 3032, 786, 26747, 29901, 13, 9651, 736, 13, 4706, 1583, 3032, 786, 26747, 353, 5852, 13, 13, 4706, 565, 451, 338, 8758, 29898, 7076, 29892, 12782, 21533, 1125, 13, 9651, 4452, 353, 12782, 21533, 29898, 7076, 29897, 13, 13, 4706, 396, 8251, 12422, 29879, 13, 4706, 363, 12422, 297, 1583, 3032, 1457, 6422, 29950, 2550, 29879, 29901, 13, 9651, 12422, 29898, 1311, 3032, 1272, 29892, 4452, 29892, 337, 13234, 29922, 276, 13234, 29897, 13, 4706, 10366, 1469, 29898, 1311, 3032, 1272, 29892, 4452, 29897, 13, 4706, 363, 12422, 297, 1583, 3032, 2490, 6422, 29950, 2550, 29879, 29901, 13, 9651, 12422, 29898, 1311, 3032, 1272, 29892, 337, 13234, 29922, 276, 13234, 29897, 13, 13, 4706, 1583, 3032, 786, 26747, 353, 7700, 13, 4706, 1583, 3032, 3972, 1017, 353, 7700, 13, 4706, 1583, 3032, 29883, 3791, 21077, 6066, 353, 6213, 13, 13, 1678, 822, 2254, 29898, 1311, 29892, 2295, 2283, 1125, 13, 4706, 1583, 3032, 18121, 29889, 842, 3991, 17020, 29898, 2917, 2283, 29897, 13, 4706, 2295, 21533, 353, 1583, 3032, 18121, 29889, 1359, 3991, 580, 13, 4706, 565, 451, 1583, 3032, 18121, 29889, 5349, 22463, 7295, 13, 9651, 1583, 29889, 5504, 29898, 2917, 21533, 29897, 13, 4706, 1683, 29901, 13, 9651, 12020, 20999, 2392, 703, 13919, 5285, 297, 1273, 29879, 29908, 13, 462, 462, 268, 1273, 313, 1311, 3032, 18121, 29889, 657, 3991, 17020, 3285, 876, 13, 13, 1678, 822, 19763, 29898, 1311, 1125, 13, 4706, 2295, 21533, 353, 1583, 3032, 18121, 29889, 1359, 3991, 580, 13, 4706, 565, 451, 1583, 3032, 18121, 29889, 5349, 22463, 7295, 13, 9651, 565, 1583, 3032, 11083, 27175, 29950, 2550, 29901, 13, 18884, 396, 25538, 278, 1434, 27175, 29950, 2550, 263, 8825, 304, 380, 1161, 3448, 1819, 591, 864, 13, 18884, 396, 304, 19905, 4822, 278, 19763, 29898, 1723, 13, 18884, 21634, 353, 1583, 3032, 11083, 27175, 29950, 2550, 29898, 1311, 3032, 1272, 29897, 13, 9651, 1683, 29901, 13, 18884, 21634, 353, 6213, 13, 9651, 1583, 29889, 12071, 580, 13, 9651, 565, 21634, 322, 1583, 3032, 7045, 27175, 29950, 2550, 29901, 13, 18884, 396, 6978, 278, 21634, 848, 1250, 304, 278, 1156, 27175, 29950, 2550, 13, 18884, 1583, 3032, 7045, 27175, 29950, 2550, 29898, 1311, 3032, 1272, 29892, 21634, 29897, 13, 9651, 1583, 29889, 5504, 29898, 2917, 21533, 29892, 337, 13234, 29922, 5574, 29897, 13, 4706, 1683, 29901, 13, 9651, 12020, 20999, 2392, 29898, 13, 18884, 376, 13919, 5285, 297, 1273, 29879, 29908, 13, 18884, 1273, 313, 1311, 3032, 18121, 29889, 657, 3991, 17020, 3285, 29871, 876, 13, 13, 1678, 822, 10092, 29898, 1311, 1125, 13, 4706, 1583, 3032, 1272, 353, 12782, 21533, 29898, 8552, 29889, 24535, 8552, 29898, 1311, 3032, 18121, 29889, 657, 24863, 22130, 13, 4706, 1583, 3032, 3972, 1017, 353, 5852, 13, 4706, 1583, 3032, 16593, 6066, 15506, 353, 5159, 13, 4706, 1583, 3032, 29883, 3791, 21077, 6066, 353, 6213, 13, 13, 1678, 822, 679, 2558, 2605, 29898, 1311, 29892, 1820, 2605, 1125, 13, 4706, 9995, 13, 4706, 2178, 1242, 278, 2805, 310, 11472, 9322, 8600, 6611, 3025, 263, 2323, 13, 4706, 8329, 29899, 25048, 630, 1347, 29889, 29871, 1152, 1342, 29892, 679, 2558, 2605, 29898, 1311, 29892, 376, 5431, 29889, 1646, 29889, 27975, 1159, 13, 4706, 723, 6699, 3847, 3366, 5431, 3108, 3366, 1646, 3108, 3366, 27975, 16862, 29871, 960, 738, 310, 278, 6611, 1016, 29915, 29873, 13, 4706, 1863, 29892, 6213, 338, 4133, 2012, 29889, 13, 13, 4706, 732, 3207, 1820, 2605, 29901, 263, 8329, 29899, 6144, 326, 1573, 1347, 22146, 278, 2224, 310, 6611, 304, 13, 9651, 29370, 13, 4706, 732, 1853, 1820, 2605, 29901, 315, 29912, 710, 29913, 13, 4706, 732, 2457, 29901, 278, 995, 472, 1820, 2605, 13, 4706, 9995, 13, 4706, 3847, 353, 1583, 13, 4706, 5633, 353, 1820, 2605, 29889, 5451, 17350, 1159, 13, 4706, 363, 760, 297, 5633, 7503, 29899, 29896, 5387, 13, 9651, 2278, 353, 3847, 29889, 657, 29898, 1595, 29892, 6213, 29897, 13, 9651, 565, 2278, 338, 6213, 29901, 13, 18884, 736, 6213, 13, 9651, 3847, 353, 2278, 13, 4706, 736, 3847, 29889, 657, 29898, 20895, 14352, 29896, 1402, 6213, 29897, 13, 13, 1678, 822, 788, 21077, 6066, 2558, 29898, 1311, 29892, 1820, 2605, 1125, 13, 4706, 9995, 13, 4706, 1894, 293, 1078, 278, 6790, 1820, 881, 367, 4586, 964, 3633, 746, 14655, 13, 4706, 278, 16523, 5993, 29889, 29871, 3115, 8340, 1078, 278, 313, 28802, 14981, 29897, 22152, 16523, 6066, 29889, 13, 13, 4706, 732, 3207, 1820, 2605, 29901, 263, 8329, 29899, 6144, 326, 1573, 1347, 22146, 278, 2224, 310, 6611, 304, 13, 9651, 29370, 13, 4706, 732, 1853, 1820, 2605, 29901, 315, 29912, 710, 29913, 13, 4706, 9995, 13, 4706, 565, 1820, 2605, 451, 297, 1583, 3032, 16593, 6066, 15506, 29901, 13, 9651, 1583, 3032, 16593, 6066, 15506, 29889, 4397, 29898, 1989, 2605, 29897, 13, 4706, 1583, 3032, 29883, 3791, 21077, 6066, 353, 6213, 13, 13, 1678, 822, 16523, 6066, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 20504, 1078, 278, 9251, 15443, 6611, 313, 24582, 29892, 577, 278, 1797, 297, 607, 13, 4706, 278, 6611, 892, 15443, 1838, 29915, 29873, 6602, 278, 6608, 29897, 322, 16785, 385, 20672, 29945, 13, 4706, 6608, 310, 278, 12420, 1819, 29889, 29871, 450, 6608, 338, 22152, 29892, 322, 338, 8340, 630, 13, 4706, 2645, 263, 19763, 470, 565, 8340, 403, 21077, 6066, 338, 2000, 29889, 13, 13, 4706, 732, 2457, 29901, 278, 16523, 5993, 13, 4706, 732, 29878, 1853, 29901, 315, 29912, 710, 29913, 13, 4706, 9995, 13, 4706, 565, 1583, 3032, 29883, 3791, 21077, 6066, 338, 6213, 29901, 13, 9651, 12785, 353, 5159, 13, 9651, 1583, 3032, 16593, 6066, 15506, 29889, 6605, 580, 13, 9651, 363, 1820, 297, 1583, 3032, 16593, 6066, 15506, 29901, 13, 18884, 995, 353, 1583, 29889, 657, 2558, 2605, 29898, 1989, 29897, 13, 18884, 565, 995, 338, 6213, 29901, 13, 462, 1678, 995, 353, 5124, 13, 18884, 12785, 29889, 4397, 29898, 1989, 718, 376, 6160, 718, 851, 29898, 1767, 876, 13, 9651, 3353, 353, 376, 29989, 1642, 7122, 29898, 12343, 778, 29897, 13, 9651, 1583, 3032, 29883, 3791, 21077, 6066, 353, 6608, 1982, 29889, 3487, 29945, 29898, 15970, 280, 467, 20970, 7501, 342, 580, 13, 4706, 736, 1583, 3032, 29883, 3791, 21077, 6066, 13, 13, 1678, 822, 8340, 403, 21077, 6066, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 21403, 1078, 278, 22152, 3509, 310, 278, 16523, 5993, 29889, 13, 4706, 9995, 13, 4706, 1583, 3032, 29883, 3791, 21077, 6066, 353, 6213, 13, 13, 1678, 822, 5988, 6066, 29898, 1311, 29892, 848, 6066, 1125, 13, 4706, 9995, 13, 4706, 3650, 1144, 278, 2295, 16523, 5993, 411, 278, 848, 6066, 29889, 29871, 960, 1174, 519, 3991, 21077, 6066, 13, 4706, 338, 7700, 29892, 278, 2441, 848, 6066, 338, 925, 4133, 13, 4706, 9995, 13, 4706, 565, 1583, 29889, 20701, 3991, 21077, 6066, 29901, 13, 9651, 2295, 6066, 353, 1583, 29889, 16593, 6066, 580, 13, 9651, 736, 29850, 6822, 8875, 1642, 4830, 29898, 1272, 6066, 29892, 2295, 6066, 29897, 13, 4706, 1683, 29901, 13, 9651, 736, 848, 6066, 13, 13, 13, 1753, 10366, 1469, 29898, 1025, 1469, 29892, 716, 1469, 1125, 13, 1678, 9995, 13, 1678, 4702, 479, 1023, 12782, 21533, 3618, 29936, 2030, 1469, 674, 367, 4784, 411, 599, 278, 6611, 13, 1678, 322, 1819, 515, 716, 1469, 13, 1678, 732, 3207, 2030, 1469, 29901, 278, 1203, 304, 6623, 13, 1678, 732, 1853, 2030, 1469, 29901, 12782, 21533, 13, 1678, 732, 3207, 716, 1469, 29901, 278, 1203, 304, 3509, 848, 515, 13, 1678, 732, 1853, 716, 1469, 29901, 12782, 21533, 13, 1678, 9995, 13, 1678, 363, 1820, 29892, 995, 297, 716, 1469, 29889, 1524, 7076, 7295, 13, 4706, 565, 338, 8758, 29898, 1767, 29892, 313, 8977, 29892, 22164, 13, 9651, 565, 1820, 297, 2030, 1469, 29901, 13, 18884, 4974, 338, 8758, 29898, 1025, 1469, 29961, 1989, 1402, 12782, 21533, 511, 320, 13, 462, 1678, 11860, 29878, 297, 1273, 29878, 338, 451, 263, 12782, 21533, 29908, 1273, 313, 1025, 1469, 29961, 1989, 1402, 2030, 1469, 29897, 13, 9651, 1683, 29901, 13, 18884, 2030, 1469, 29961, 1989, 29962, 353, 6571, 13, 9651, 10366, 1469, 29898, 1025, 1469, 29961, 1989, 1402, 995, 29897, 13, 4706, 1683, 29901, 13, 9651, 2030, 1469, 29961, 1989, 29962, 353, 995, 13, 13, 13, 1753, 2989, 6004, 2605, 29898, 3188, 29892, 2224, 1125, 13, 1678, 565, 1134, 29898, 2084, 29897, 338, 851, 29901, 13, 4706, 736, 2897, 29889, 2084, 29889, 7122, 29898, 3188, 29892, 2224, 29897, 565, 2224, 322, 2224, 29961, 29900, 29962, 451, 297, 6702, 29914, 742, 15300, 742, 29897, 1683, 2224, 13, 1678, 1683, 29901, 13, 4706, 736, 2224, 13, 13, 2917, 353, 12782, 580, 13, 2 ]

gaphor/services/helpservice/__init__.py

sitedata/gaphor

0

77798

<gh_stars>0 """About and help services. (help browser anyone?) """ from gi.repository import Gtk from gaphor.abc import ActionProvider, Service from gaphor.application import distribution from gaphor.core import action from gaphor.i18n import translated_ui_string class HelpService(Service, ActionProvider): def __init__(self, main_window): self.main_window = main_window def shutdown(self): pass @property def window(self): return self.main_window.window @action(name="about") def about(self): builder = Gtk.Builder() builder.add_from_string( translated_ui_string("gaphor.services.helpservice", "about.ui") ) about = builder.get_object("about") about.set_version(distribution().version) about.set_transient_for(self.window) about.run() about.destroy() @action(name="win.shortcuts") def shortcuts(self): builder = Gtk.Builder() builder.add_from_string( translated_ui_string("gaphor.services.helpservice", "shortcuts.ui") ) shortcuts = builder.get_object("shortcuts-gaphor") shortcuts.set_modal(True) shortcuts.set_transient_for(self.window) shortcuts.show() return shortcuts

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 15945, 29908, 28173, 322, 1371, 5786, 29889, 13, 13, 29898, 8477, 4714, 5019, 7897, 13, 15945, 29908, 13, 13, 3166, 4005, 29889, 19033, 1053, 402, 11178, 13, 13, 3166, 17261, 2015, 29889, 10736, 1053, 9123, 6980, 29892, 6692, 13, 3166, 17261, 2015, 29889, 6214, 1053, 4978, 13, 3166, 17261, 2015, 29889, 3221, 1053, 3158, 13, 3166, 17261, 2015, 29889, 29875, 29896, 29947, 29876, 1053, 20512, 29918, 1481, 29918, 1807, 13, 13, 13, 1990, 22305, 3170, 29898, 3170, 29892, 9123, 6980, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1667, 29918, 7165, 1125, 13, 4706, 1583, 29889, 3396, 29918, 7165, 353, 1667, 29918, 7165, 13, 13, 1678, 822, 12522, 3204, 29898, 1311, 1125, 13, 4706, 1209, 13, 13, 1678, 732, 6799, 13, 1678, 822, 3474, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 3396, 29918, 7165, 29889, 7165, 13, 13, 1678, 732, 2467, 29898, 978, 543, 12717, 1159, 13, 1678, 822, 1048, 29898, 1311, 1125, 13, 4706, 12856, 353, 402, 11178, 29889, 5627, 580, 13, 4706, 12856, 29889, 1202, 29918, 3166, 29918, 1807, 29898, 13, 9651, 20512, 29918, 1481, 29918, 1807, 703, 29887, 481, 2015, 29889, 9916, 29889, 3952, 567, 261, 1087, 613, 376, 12717, 29889, 1481, 1159, 13, 4706, 1723, 13, 13, 4706, 1048, 353, 12856, 29889, 657, 29918, 3318, 703, 12717, 1159, 13, 13, 4706, 1048, 29889, 842, 29918, 3259, 29898, 27691, 2141, 3259, 29897, 13, 4706, 1048, 29889, 842, 29918, 3286, 993, 29918, 1454, 29898, 1311, 29889, 7165, 29897, 13, 13, 4706, 1048, 29889, 3389, 580, 13, 4706, 1048, 29889, 20524, 580, 13, 13, 1678, 732, 2467, 29898, 978, 543, 5080, 29889, 12759, 7582, 29879, 1159, 13, 1678, 822, 21697, 29879, 29898, 1311, 1125, 13, 4706, 12856, 353, 402, 11178, 29889, 5627, 580, 13, 4706, 12856, 29889, 1202, 29918, 3166, 29918, 1807, 29898, 13, 9651, 20512, 29918, 1481, 29918, 1807, 703, 29887, 481, 2015, 29889, 9916, 29889, 3952, 567, 261, 1087, 613, 376, 12759, 7582, 29879, 29889, 1481, 1159, 13, 4706, 1723, 13, 13, 4706, 21697, 29879, 353, 12856, 29889, 657, 29918, 3318, 703, 12759, 7582, 29879, 29899, 29887, 481, 2015, 1159, 13, 4706, 21697, 29879, 29889, 842, 29918, 15601, 29898, 5574, 29897, 13, 4706, 21697, 29879, 29889, 842, 29918, 3286, 993, 29918, 1454, 29898, 1311, 29889, 7165, 29897, 13, 13, 4706, 21697, 29879, 29889, 4294, 580, 13, 4706, 736, 21697, 29879, 13, 2 ]

tf_agents/agents/sac/sac_agent.py

Francis777/agents

0

197102

# coding=utf-8 # Copyright 2020 The TF-Agents Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Lint as: python2, python3 """A Soft Actor-Critic Agent. Implements the Soft Actor-Critic (SAC) algorithm from "Soft Actor-Critic Algorithms and Applications" by Haarnoja et al (2019). """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import collections from typing import Callable, Optional, Text import gin import numpy as np from six.moves import zip import tensorflow as tf # pylint: disable=g-explicit-tensorflow-version-import import tensorflow_probability as tfp from tf_agents.agents import data_converter from tf_agents.agents import tf_agent from tf_agents.networks import network from tf_agents.policies import actor_policy from tf_agents.policies import tf_policy from tf_agents.trajectories import time_step as ts from tf_agents.typing import types from tf_agents.utils import common from tf_agents.utils import eager_utils from tf_agents.utils import nest_utils from tf_agents.utils import object_identity SacLossInfo = collections.namedtuple( 'SacLossInfo', ('critic_loss', 'actor_loss', 'alpha_loss')) # TODO(b/148889463): deprecate std_clip_transform @gin.configurable def std_clip_transform(stddevs: types.NestedTensor) -> types.NestedTensor: stddevs = tf.nest.map_structure(lambda t: tf.clip_by_value(t, -20, 2), stddevs) return tf.exp(stddevs) @gin.configurable class SacAgent(tf_agent.TFAgent): """A SAC Agent.""" def __init__(self, time_step_spec: ts.TimeStep, action_spec: types.NestedTensorSpec, critic_network: network.Network, actor_network: network.Network, actor_optimizer: types.Optimizer, critic_optimizer: types.Optimizer, alpha_optimizer: types.Optimizer, actor_loss_weight: types.Float = 1.0, critic_loss_weight: types.Float = 0.5, alpha_loss_weight: types.Float = 1.0, actor_policy_ctor: Callable[ ..., tf_policy.TFPolicy] = actor_policy.ActorPolicy, critic_network_2: Optional[network.Network] = None, target_critic_network: Optional[network.Network] = None, target_critic_network_2: Optional[network.Network] = None, target_update_tau: types.Float = 1.0, target_update_period: types.Int = 1, td_errors_loss_fn: types.LossFn = tf.math.squared_difference, gamma: types.Float = 1.0, reward_scale_factor: types.Float = 1.0, initial_log_alpha: types.Float = 0.0, use_log_alpha_in_alpha_loss: bool = True, target_entropy: Optional[types.Float] = None, gradient_clipping: Optional[types.Float] = None, debug_summaries: bool = False, summarize_grads_and_vars: bool = False, train_step_counter: Optional[tf.Variable] = None, name: Optional[Text] = None): """Creates a SAC Agent. Args: time_step_spec: A `TimeStep` spec of the expected time_steps. action_spec: A nest of BoundedTensorSpec representing the actions. critic_network: A function critic_network((observations, actions)) that returns the q_values for each observation and action. actor_network: A function actor_network(observation, action_spec) that returns action distribution. actor_optimizer: The optimizer to use for the actor network. critic_optimizer: The default optimizer to use for the critic network. alpha_optimizer: The default optimizer to use for the alpha variable. actor_loss_weight: The weight on actor loss. critic_loss_weight: The weight on critic loss. alpha_loss_weight: The weight on alpha loss. actor_policy_ctor: The policy class to use. critic_network_2: (Optional.) A `tf_agents.network.Network` to be used as the second critic network during Q learning. The weights from `critic_network` are copied if this is not provided. target_critic_network: (Optional.) A `tf_agents.network.Network` to be used as the target critic network during Q learning. Every `target_update_period` train steps, the weights from `critic_network` are copied (possibly withsmoothing via `target_update_tau`) to ` target_critic_network`. If `target_critic_network` is not provided, it is created by making a copy of `critic_network`, which initializes a new network with the same structure and its own layers and weights. Performing a `Network.copy` does not work when the network instance already has trainable parameters (e.g., has already been built, or when the network is sharing layers with another). In these cases, it is up to you to build a copy having weights that are not shared with the original `critic_network`, so that this can be used as a target network. If you provide a `target_critic_network` that shares any weights with `critic_network`, a warning will be logged but no exception is thrown. target_critic_network_2: (Optional.) Similar network as target_critic_network but for the critic_network_2. See documentation for target_critic_network. Will only be used if 'critic_network_2' is also specified. target_update_tau: Factor for soft update of the target networks. target_update_period: Period for soft update of the target networks. td_errors_loss_fn: A function for computing the elementwise TD errors loss. gamma: A discount factor for future rewards. reward_scale_factor: Multiplicative scale for the reward. initial_log_alpha: Initial value for log_alpha. use_log_alpha_in_alpha_loss: A boolean, whether using log_alpha or alpha in alpha loss. Certain implementations of SAC use log_alpha as log values are generally nicer to work with. target_entropy: The target average policy entropy, for updating alpha. The default value is negative of the total number of actions. gradient_clipping: Norm length to clip gradients. debug_summaries: A bool to gather debug summaries. summarize_grads_and_vars: If True, gradient and network variable summaries will be written during training. train_step_counter: An optional counter to increment every time the train op is run. Defaults to the global_step. name: The name of this agent. All variables in this module will fall under that name. Defaults to the class name. """ tf.Module.__init__(self, name=name) self._check_action_spec(action_spec) net_observation_spec = time_step_spec.observation critic_spec = (net_observation_spec, action_spec) self._critic_network_1 = critic_network if critic_network_2 is not None: self._critic_network_2 = critic_network_2 else: self._critic_network_2 = critic_network.copy(name='CriticNetwork2') # Do not use target_critic_network_2 if critic_network_2 is None. target_critic_network_2 = None # Wait until critic_network_2 has been copied from critic_network_1 before # creating variables on both. self._critic_network_1.create_variables(critic_spec) self._critic_network_2.create_variables(critic_spec) if target_critic_network: target_critic_network.create_variables(critic_spec) self._target_critic_network_1 = ( common.maybe_copy_target_network_with_checks( self._critic_network_1, target_critic_network, input_spec=critic_spec, name='TargetCriticNetwork1')) if target_critic_network_2: target_critic_network_2.create_variables(critic_spec) self._target_critic_network_2 = ( common.maybe_copy_target_network_with_checks( self._critic_network_2, target_critic_network_2, input_spec=critic_spec, name='TargetCriticNetwork2')) if actor_network: actor_network.create_variables(net_observation_spec) self._actor_network = actor_network policy = actor_policy_ctor( time_step_spec=time_step_spec, action_spec=action_spec, actor_network=self._actor_network, training=False) self._train_policy = actor_policy_ctor( time_step_spec=time_step_spec, action_spec=action_spec, actor_network=self._actor_network, training=True) self._log_alpha = common.create_variable( 'initial_log_alpha', initial_value=initial_log_alpha, dtype=tf.float32, trainable=True) if target_entropy is None: target_entropy = self._get_default_target_entropy(action_spec) self._use_log_alpha_in_alpha_loss = use_log_alpha_in_alpha_loss self._target_update_tau = target_update_tau self._target_update_period = target_update_period self._actor_optimizer = actor_optimizer self._critic_optimizer = critic_optimizer self._alpha_optimizer = alpha_optimizer self._actor_loss_weight = actor_loss_weight self._critic_loss_weight = critic_loss_weight self._alpha_loss_weight = alpha_loss_weight self._td_errors_loss_fn = td_errors_loss_fn self._gamma = gamma self._reward_scale_factor = reward_scale_factor self._target_entropy = target_entropy self._gradient_clipping = gradient_clipping self._debug_summaries = debug_summaries self._summarize_grads_and_vars = summarize_grads_and_vars self._update_target = self._get_target_updater( tau=self._target_update_tau, period=self._target_update_period) train_sequence_length = 2 if not critic_network.state_spec else None super(SacAgent, self).__init__( time_step_spec, action_spec, policy=policy, collect_policy=policy, train_sequence_length=train_sequence_length, debug_summaries=debug_summaries, summarize_grads_and_vars=summarize_grads_and_vars, train_step_counter=train_step_counter, ) self._as_transition = data_converter.AsTransition( self.data_context, squeeze_time_dim=(train_sequence_length == 2)) def _check_action_spec(self, action_spec): flat_action_spec = tf.nest.flatten(action_spec) for spec in flat_action_spec: if spec.dtype.is_integer: raise NotImplementedError( 'SacAgent does not currently support discrete actions. ' 'Action spec: {}'.format(action_spec)) def _get_default_target_entropy(self, action_spec): # If target_entropy was not passed, set it to -dim(A)/2.0 # Note that the original default entropy target is -dim(A) in the SAC paper. # However this formulation has also been used in practice by the original # authors and has in our experience been more stable for gym/mujoco. flat_action_spec = tf.nest.flatten(action_spec) target_entropy = -np.sum([ np.product(single_spec.shape.as_list()) for single_spec in flat_action_spec ]) / 2.0 return target_entropy def _initialize(self): """Returns an op to initialize the agent. Copies weights from the Q networks to the target Q network. """ common.soft_variables_update( self._critic_network_1.variables, self._target_critic_network_1.variables, tau=1.0) common.soft_variables_update( self._critic_network_2.variables, self._target_critic_network_2.variables, tau=1.0) def _train(self, experience, weights): """Returns a train op to update the agent's networks. This method trains with the provided batched experience. Args: experience: A time-stacked trajectory object. weights: Optional scalar or elementwise (per-batch-entry) importance weights. Returns: A train_op. Raises: ValueError: If optimizers are None and no default value was provided to the constructor. """ transition = self._as_transition(experience) time_steps, policy_steps, next_time_steps = transition actions = policy_steps.action trainable_critic_variables = list(object_identity.ObjectIdentitySet( self._critic_network_1.trainable_variables + self._critic_network_2.trainable_variables)) with tf.GradientTape(watch_accessed_variables=False) as tape: assert trainable_critic_variables, ('No trainable critic variables to ' 'optimize.') tape.watch(trainable_critic_variables) critic_loss = self._critic_loss_weight*self.critic_loss( time_steps, actions, next_time_steps, td_errors_loss_fn=self._td_errors_loss_fn, gamma=self._gamma, reward_scale_factor=self._reward_scale_factor, weights=weights, training=True) tf.debugging.check_numerics(critic_loss, 'Critic loss is inf or nan.') critic_grads = tape.gradient(critic_loss, trainable_critic_variables) self._apply_gradients(critic_grads, trainable_critic_variables, self._critic_optimizer) trainable_actor_variables = self._actor_network.trainable_variables with tf.GradientTape(watch_accessed_variables=False) as tape: assert trainable_actor_variables, ('No trainable actor variables to ' 'optimize.') tape.watch(trainable_actor_variables) actor_loss = self._actor_loss_weight*self.actor_loss( time_steps, weights=weights, training=True) tf.debugging.check_numerics(actor_loss, 'Actor loss is inf or nan.') actor_grads = tape.gradient(actor_loss, trainable_actor_variables) self._apply_gradients(actor_grads, trainable_actor_variables, self._actor_optimizer) alpha_variable = [self._log_alpha] with tf.GradientTape(watch_accessed_variables=False) as tape: assert alpha_variable, 'No alpha variable to optimize.' tape.watch(alpha_variable) alpha_loss = self._alpha_loss_weight * self.alpha_loss( time_steps, weights=weights, training=True) tf.debugging.check_numerics(alpha_loss, 'Alpha loss is inf or nan.') alpha_grads = tape.gradient(alpha_loss, alpha_variable) self._apply_gradients(alpha_grads, alpha_variable, self._alpha_optimizer) with tf.name_scope('Losses'): tf.compat.v2.summary.scalar( name='critic_loss', data=critic_loss, step=self.train_step_counter) tf.compat.v2.summary.scalar( name='actor_loss', data=actor_loss, step=self.train_step_counter) tf.compat.v2.summary.scalar( name='alpha_loss', data=alpha_loss, step=self.train_step_counter) self.train_step_counter.assign_add(1) self._update_target() total_loss = critic_loss + actor_loss + alpha_loss extra = SacLossInfo( critic_loss=critic_loss, actor_loss=actor_loss, alpha_loss=alpha_loss) return tf_agent.LossInfo(loss=total_loss, extra=extra) def _loss(self, experience: types.NestedTensor, weights: Optional[types.Tensor] = None, training: bool = False): """Returns the loss of the provided experience. This method is only used at test time! Args: experience: A time-stacked trajectory object. weights: Optional scalar or elementwise (per-batch-entry) importance weights. training: Whether this loss is being calculated as part of training. Returns: A `LossInfo` containing the loss for the experience. """ transition = self._as_transition(experience) time_steps, policy_steps, next_time_steps = transition actions = policy_steps.action critic_loss = self._critic_loss_weight * self.critic_loss( time_steps, actions, next_time_steps, td_errors_loss_fn=self._td_errors_loss_fn, gamma=self._gamma, reward_scale_factor=self._reward_scale_factor, weights=weights, training=training) tf.debugging.check_numerics(critic_loss, 'Critic loss is inf or nan.') actor_loss = self._actor_loss_weight * self.actor_loss( time_steps, weights=weights, training=training) tf.debugging.check_numerics(actor_loss, 'Actor loss is inf or nan.') alpha_loss = self._alpha_loss_weight * self.alpha_loss( time_steps, weights=weights, training=training) tf.debugging.check_numerics(alpha_loss, 'Alpha loss is inf or nan.') with tf.name_scope('Losses'): tf.compat.v2.summary.scalar( name='critic_loss', data=critic_loss, step=self.train_step_counter) tf.compat.v2.summary.scalar( name='actor_loss', data=actor_loss, step=self.train_step_counter) tf.compat.v2.summary.scalar( name='alpha_loss', data=alpha_loss, step=self.train_step_counter) total_loss = critic_loss + actor_loss + alpha_loss extra = SacLossInfo( critic_loss=critic_loss, actor_loss=actor_loss, alpha_loss=alpha_loss) return tf_agent.LossInfo(loss=total_loss, extra=extra) def _apply_gradients(self, gradients, variables, optimizer): # list(...) is required for Python3. grads_and_vars = list(zip(gradients, variables)) if self._gradient_clipping is not None: grads_and_vars = eager_utils.clip_gradient_norms(grads_and_vars, self._gradient_clipping) if self._summarize_grads_and_vars: eager_utils.add_variables_summaries(grads_and_vars, self.train_step_counter) eager_utils.add_gradients_summaries(grads_and_vars, self.train_step_counter) optimizer.apply_gradients(grads_and_vars) def _get_target_updater(self, tau=1.0, period=1): """Performs a soft update of the target network parameters. For each weight w_s in the original network, and its corresponding weight w_t in the target network, a soft update is: w_t = (1- tau) x w_t + tau x ws Args: tau: A float scalar in [0, 1]. Default `tau=1.0` means hard update. period: Step interval at which the target network is updated. Returns: A callable that performs a soft update of the target network parameters. """ with tf.name_scope('update_target'): def update(): """Update target network.""" critic_update_1 = common.soft_variables_update( self._critic_network_1.variables, self._target_critic_network_1.variables, tau, tau_non_trainable=1.0) critic_2_update_vars = common.deduped_network_variables( self._critic_network_2, self._critic_network_1) target_critic_2_update_vars = common.deduped_network_variables( self._target_critic_network_2, self._target_critic_network_1) critic_update_2 = common.soft_variables_update( critic_2_update_vars, target_critic_2_update_vars, tau, tau_non_trainable=1.0) return tf.group(critic_update_1, critic_update_2) return common.Periodically(update, period, 'update_targets') def _actions_and_log_probs(self, time_steps, training=False): """Get actions and corresponding log probabilities from policy.""" # Get raw action distribution from policy, and initialize bijectors list. batch_size = nest_utils.get_outer_shape(time_steps, self._time_step_spec)[0] policy_state = self._train_policy.get_initial_state(batch_size) if training: action_distribution = self._train_policy.distribution( time_steps, policy_state=policy_state).action else: action_distribution = self._policy.distribution( time_steps, policy_state=policy_state).action # Sample actions and log_pis from transformed distribution. actions = tf.nest.map_structure(lambda d: d.sample(), action_distribution) log_pi = common.log_probability(action_distribution, actions, self.action_spec) return actions, log_pi def critic_loss(self, time_steps: ts.TimeStep, actions: types.Tensor, next_time_steps: ts.TimeStep, td_errors_loss_fn: types.LossFn, gamma: types.Float = 1.0, reward_scale_factor: types.Float = 1.0, weights: Optional[types.Tensor] = None, training: bool = False) -> types.Tensor: """Computes the critic loss for SAC training. Args: time_steps: A batch of timesteps. actions: A batch of actions. next_time_steps: A batch of next timesteps. td_errors_loss_fn: A function(td_targets, predictions) to compute elementwise (per-batch-entry) loss. gamma: Discount for future rewards. reward_scale_factor: Multiplicative factor to scale rewards. weights: Optional scalar or elementwise (per-batch-entry) importance weights. training: Whether this loss is being used for training. Returns: critic_loss: A scalar critic loss. """ with tf.name_scope('critic_loss'): nest_utils.assert_same_structure(actions, self.action_spec) nest_utils.assert_same_structure(time_steps, self.time_step_spec) nest_utils.assert_same_structure(next_time_steps, self.time_step_spec) # We do not update actor or target networks in critic loss. next_actions, next_log_pis = self._actions_and_log_probs(next_time_steps, training=False) target_input = (next_time_steps.observation, next_actions) target_q_values1, unused_network_state1 = self._target_critic_network_1( target_input, step_type=next_time_steps.step_type, training=False) target_q_values2, unused_network_state2 = self._target_critic_network_2( target_input, step_type=next_time_steps.step_type, training=False) target_q_values = ( tf.minimum(target_q_values1, target_q_values2) - tf.exp(self._log_alpha) * next_log_pis) td_targets = tf.stop_gradient( reward_scale_factor * next_time_steps.reward + gamma * next_time_steps.discount * target_q_values) pred_input = (time_steps.observation, actions) pred_td_targets1, _ = self._critic_network_1( pred_input, step_type=time_steps.step_type, training=training) pred_td_targets2, _ = self._critic_network_2( pred_input, step_type=time_steps.step_type, training=training) critic_loss1 = td_errors_loss_fn(td_targets, pred_td_targets1) critic_loss2 = td_errors_loss_fn(td_targets, pred_td_targets2) critic_loss = critic_loss1 + critic_loss2 if critic_loss.shape.rank > 1: # Sum over the time dimension. critic_loss = tf.reduce_sum( critic_loss, axis=range(1, critic_loss.shape.rank)) agg_loss = common.aggregate_losses( per_example_loss=critic_loss, sample_weight=weights, regularization_loss=(self._critic_network_1.losses + self._critic_network_2.losses)) critic_loss = agg_loss.total_loss self._critic_loss_debug_summaries(td_targets, pred_td_targets1, pred_td_targets2) return critic_loss def actor_loss(self, time_steps: ts.TimeStep, weights: Optional[types.Tensor] = None, training: Optional[bool] = True) -> types.Tensor: """Computes the actor_loss for SAC training. Args: time_steps: A batch of timesteps. weights: Optional scalar or elementwise (per-batch-entry) importance weights. training: Whether training should be applied. Returns: actor_loss: A scalar actor loss. """ with tf.name_scope('actor_loss'): nest_utils.assert_same_structure(time_steps, self.time_step_spec) actions, log_pi = self._actions_and_log_probs(time_steps, training=training) target_input = (time_steps.observation, actions) # We do not update critic during actor loss. target_q_values1, _ = self._critic_network_1( target_input, step_type=time_steps.step_type, training=False) target_q_values2, _ = self._critic_network_2( target_input, step_type=time_steps.step_type, training=False) target_q_values = tf.minimum(target_q_values1, target_q_values2) actor_loss = tf.exp(self._log_alpha) * log_pi - target_q_values if actor_loss.shape.rank > 1: # Sum over the time dimension. actor_loss = tf.reduce_sum( actor_loss, axis=range(1, actor_loss.shape.rank)) reg_loss = self._actor_network.losses if self._actor_network else None agg_loss = common.aggregate_losses( per_example_loss=actor_loss, sample_weight=weights, regularization_loss=reg_loss) actor_loss = agg_loss.total_loss self._actor_loss_debug_summaries(actor_loss, actions, log_pi, target_q_values, time_steps) return actor_loss def alpha_loss(self, time_steps: ts.TimeStep, weights: Optional[types.Tensor] = None, training: bool = False) -> types.Tensor: """Computes the alpha_loss for EC-SAC training. Args: time_steps: A batch of timesteps. weights: Optional scalar or elementwise (per-batch-entry) importance weights. training: Whether this loss is being used during training. Returns: alpha_loss: A scalar alpha loss. """ with tf.name_scope('alpha_loss'): nest_utils.assert_same_structure(time_steps, self.time_step_spec) # We do not update actor during alpha loss. unused_actions, log_pi = self._actions_and_log_probs( time_steps, training=False) entropy_diff = tf.stop_gradient(-log_pi - self._target_entropy) if self._use_log_alpha_in_alpha_loss: alpha_loss = (self._log_alpha * entropy_diff) else: alpha_loss = (tf.exp(self._log_alpha) * entropy_diff) if alpha_loss.shape.rank > 1: # Sum over the time dimension. alpha_loss = tf.reduce_sum( alpha_loss, axis=range(1, alpha_loss.shape.rank)) agg_loss = common.aggregate_losses( per_example_loss=alpha_loss, sample_weight=weights) alpha_loss = agg_loss.total_loss self._alpha_loss_debug_summaries(alpha_loss, entropy_diff) return alpha_loss def _critic_loss_debug_summaries(self, td_targets, pred_td_targets1, pred_td_targets2): if self._debug_summaries: td_errors1 = td_targets - pred_td_targets1 td_errors2 = td_targets - pred_td_targets2 td_errors = tf.concat([td_errors1, td_errors2], axis=0) common.generate_tensor_summaries('td_errors', td_errors, self.train_step_counter) common.generate_tensor_summaries('td_targets', td_targets, self.train_step_counter) common.generate_tensor_summaries('pred_td_targets1', pred_td_targets1, self.train_step_counter) common.generate_tensor_summaries('pred_td_targets2', pred_td_targets2, self.train_step_counter) def _actor_loss_debug_summaries(self, actor_loss, actions, log_pi, target_q_values, time_steps): if self._debug_summaries: common.generate_tensor_summaries('actor_loss', actor_loss, self.train_step_counter) try: for name, action in nest_utils.flatten_with_joined_paths(actions): common.generate_tensor_summaries(name, action, self.train_step_counter) except ValueError: pass # Guard against internal SAC variants that do not directly # generate actions. common.generate_tensor_summaries('log_pi', log_pi, self.train_step_counter) tf.compat.v2.summary.scalar( name='entropy_avg', data=-tf.reduce_mean(input_tensor=log_pi), step=self.train_step_counter) common.generate_tensor_summaries('target_q_values', target_q_values, self.train_step_counter) batch_size = nest_utils.get_outer_shape(time_steps, self._time_step_spec)[0] policy_state = self._train_policy.get_initial_state(batch_size) action_distribution = self._train_policy.distribution( time_steps, policy_state).action if isinstance(action_distribution, tfp.distributions.Normal): common.generate_tensor_summaries('act_mean', action_distribution.loc, self.train_step_counter) common.generate_tensor_summaries('act_stddev', action_distribution.scale, self.train_step_counter) elif isinstance(action_distribution, tfp.distributions.Categorical): common.generate_tensor_summaries('act_mode', action_distribution.mode(), self.train_step_counter) try: for name, action_dist in nest_utils.flatten_with_joined_paths( action_distribution): common.generate_tensor_summaries('entropy_' + name, action_dist.entropy(), self.train_step_counter) except NotImplementedError: pass # Some distributions do not have an analytic entropy. def _alpha_loss_debug_summaries(self, alpha_loss, entropy_diff): if self._debug_summaries: common.generate_tensor_summaries('alpha_loss', alpha_loss, self.train_step_counter) common.generate_tensor_summaries('entropy_diff', entropy_diff, self.train_step_counter) tf.compat.v2.summary.scalar( name='log_alpha', data=self._log_alpha, step=self.train_step_counter)

[ 1, 396, 14137, 29922, 9420, 29899, 29947, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29906, 29900, 450, 323, 29943, 29899, 14769, 1237, 13189, 943, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 268, 2045, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 13, 29937, 365, 524, 408, 29901, 3017, 29906, 29892, 3017, 29941, 13, 15945, 29908, 29909, 1105, 615, 319, 2801, 29899, 29907, 768, 293, 28330, 29889, 13, 13, 1888, 9711, 278, 1105, 615, 319, 2801, 29899, 29907, 768, 293, 313, 29903, 2477, 29897, 5687, 515, 13, 29908, 6295, 615, 319, 2801, 29899, 29907, 768, 293, 11545, 12404, 322, 2401, 5795, 29908, 491, 379, 4025, 1217, 1764, 634, 394, 313, 29906, 29900, 29896, 29929, 467, 13, 15945, 29908, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8542, 13, 3166, 4770, 29888, 9130, 1649, 1053, 1596, 29918, 2220, 13, 13, 5215, 16250, 13, 3166, 19229, 1053, 8251, 519, 29892, 28379, 29892, 3992, 13, 13, 5215, 330, 262, 13, 5215, 12655, 408, 7442, 13, 3166, 4832, 29889, 13529, 267, 1053, 14319, 13, 5215, 26110, 408, 15886, 29871, 396, 282, 2904, 524, 29901, 11262, 29922, 29887, 29899, 4548, 4019, 29899, 29056, 29899, 3259, 29899, 5215, 13, 5215, 26110, 29918, 22795, 3097, 408, 15886, 29886, 13, 13, 3166, 15886, 29918, 351, 1237, 29889, 351, 1237, 1053, 848, 29918, 535, 13549, 13, 3166, 15886, 29918, 351, 1237, 29889, 351, 1237, 1053, 15886, 29918, 14748, 13, 3166, 15886, 29918, 351, 1237, 29889, 11618, 29879, 1053, 3564, 13, 3166, 15886, 29918, 351, 1237, 29889, 3733, 293, 583, 1053, 11339, 29918, 22197, 13, 3166, 15886, 29918, 351, 1237, 29889, 3733, 293, 583, 1053, 15886, 29918, 22197, 13, 3166, 15886, 29918, 351, 1237, 29889, 3018, 622, 3842, 1053, 931, 29918, 10568, 408, 18696, 13, 3166, 15886, 29918, 351, 1237, 29889, 1017, 15702, 1053, 4072, 13, 3166, 15886, 29918, 351, 1237, 29889, 13239, 1053, 3619, 13, 3166, 15886, 29918, 351, 1237, 29889, 13239, 1053, 19888, 29918, 13239, 13, 3166, 15886, 29918, 351, 1237, 29889, 13239, 1053, 17763, 29918, 13239, 13, 3166, 15886, 29918, 351, 1237, 29889, 13239, 1053, 1203, 29918, 22350, 13, 13, 13, 29903, 562, 29931, 2209, 3401, 353, 16250, 29889, 17514, 23583, 29898, 13, 1678, 525, 29903, 562, 29931, 2209, 3401, 742, 6702, 9695, 293, 29918, 6758, 742, 525, 7168, 29918, 6758, 742, 525, 2312, 29918, 6758, 8785, 13, 13, 13, 29937, 14402, 29898, 29890, 29914, 29896, 29946, 29947, 29947, 29947, 29929, 29946, 29953, 29941, 1125, 16460, 403, 3659, 29918, 24049, 29918, 9067, 13, 29992, 5359, 29889, 2917, 21115, 13, 1753, 3659, 29918, 24049, 29918, 9067, 29898, 4172, 3359, 29879, 29901, 4072, 29889, 29940, 2868, 29911, 6073, 29897, 1599, 4072, 29889, 29940, 2868, 29911, 6073, 29901, 13, 29871, 3659, 3359, 29879, 353, 15886, 29889, 17510, 29889, 1958, 29918, 23905, 29898, 2892, 260, 29901, 15886, 29889, 24049, 29918, 1609, 29918, 1767, 29898, 29873, 29892, 448, 29906, 29900, 29892, 29871, 29906, 511, 13, 462, 462, 29871, 3659, 3359, 29879, 29897, 13, 29871, 736, 15886, 29889, 4548, 29898, 4172, 3359, 29879, 29897, 13, 13, 13, 29992, 5359, 29889, 2917, 21115, 13, 1990, 15573, 19661, 29898, 13264, 29918, 14748, 29889, 29911, 4519, 5362, 1125, 13, 29871, 9995, 29909, 317, 2477, 28330, 1213, 15945, 13, 13, 29871, 822, 4770, 2344, 12035, 1311, 29892, 13, 1669, 931, 29918, 10568, 29918, 6550, 29901, 18696, 29889, 2481, 14448, 29892, 13, 1669, 3158, 29918, 6550, 29901, 4072, 29889, 29940, 2868, 29911, 6073, 10299, 29892, 13, 1669, 11164, 29918, 11618, 29901, 3564, 29889, 13724, 29892, 13, 1669, 11339, 29918, 11618, 29901, 3564, 29889, 13724, 29892, 13, 1669, 11339, 29918, 20640, 3950, 29901, 4072, 29889, 20624, 326, 3950, 29892, 13, 1669, 11164, 29918, 20640, 3950, 29901, 4072, 29889, 20624, 326, 3950, 29892, 13, 1669, 15595, 29918, 20640, 3950, 29901, 4072, 29889, 20624, 326, 3950, 29892, 13, 1669, 11339, 29918, 6758, 29918, 7915, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 1669, 11164, 29918, 6758, 29918, 7915, 29901, 4072, 29889, 11031, 353, 29871, 29900, 29889, 29945, 29892, 13, 1669, 15595, 29918, 6758, 29918, 7915, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 1669, 11339, 29918, 22197, 29918, 2801, 29901, 8251, 519, 29961, 13, 462, 259, 2023, 29892, 15886, 29918, 22197, 29889, 8969, 15644, 29962, 353, 11339, 29918, 22197, 29889, 29909, 2801, 15644, 29892, 13, 1669, 11164, 29918, 11618, 29918, 29906, 29901, 28379, 29961, 11618, 29889, 13724, 29962, 353, 6213, 29892, 13, 1669, 3646, 29918, 9695, 293, 29918, 11618, 29901, 28379, 29961, 11618, 29889, 13724, 29962, 353, 6213, 29892, 13, 1669, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29901, 28379, 29961, 11618, 29889, 13724, 29962, 353, 6213, 29892, 13, 1669, 3646, 29918, 5504, 29918, 4722, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 1669, 3646, 29918, 5504, 29918, 19145, 29901, 4072, 29889, 2928, 353, 29871, 29896, 29892, 13, 1669, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29901, 4072, 29889, 29931, 2209, 29137, 353, 15886, 29889, 755, 29889, 26613, 1965, 29918, 29881, 17678, 29892, 13, 1669, 330, 2735, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 1669, 20751, 29918, 7052, 29918, 19790, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 1669, 2847, 29918, 1188, 29918, 2312, 29901, 4072, 29889, 11031, 353, 29871, 29900, 29889, 29900, 29892, 13, 1669, 671, 29918, 1188, 29918, 2312, 29918, 262, 29918, 2312, 29918, 6758, 29901, 6120, 353, 5852, 29892, 13, 1669, 3646, 29918, 296, 14441, 29901, 28379, 29961, 8768, 29889, 11031, 29962, 353, 6213, 29892, 13, 1669, 16030, 29918, 11303, 3262, 29901, 28379, 29961, 8768, 29889, 11031, 29962, 353, 6213, 29892, 13, 1669, 4744, 29918, 2083, 3034, 583, 29901, 6120, 353, 7700, 29892, 13, 1669, 19138, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 29901, 6120, 353, 7700, 29892, 13, 1669, 7945, 29918, 10568, 29918, 11808, 29901, 28379, 29961, 13264, 29889, 16174, 29962, 353, 6213, 29892, 13, 1669, 1024, 29901, 28379, 29961, 1626, 29962, 353, 6213, 1125, 13, 1678, 9995, 9832, 1078, 263, 317, 2477, 28330, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 931, 29918, 10568, 29918, 6550, 29901, 319, 421, 2481, 14448, 29952, 1580, 310, 278, 3806, 931, 29918, 24530, 29889, 13, 418, 3158, 29918, 6550, 29901, 319, 17763, 310, 350, 7261, 29911, 6073, 10299, 15783, 278, 8820, 29889, 13, 418, 11164, 29918, 11618, 29901, 319, 740, 11164, 29918, 11618, 3552, 26739, 800, 29892, 8820, 876, 393, 13, 4706, 3639, 278, 3855, 29918, 5975, 363, 1269, 15500, 322, 3158, 29889, 13, 418, 11339, 29918, 11618, 29901, 319, 740, 11339, 29918, 11618, 29898, 26739, 362, 29892, 3158, 29918, 6550, 29897, 393, 13, 4706, 3639, 3158, 4978, 29889, 13, 418, 11339, 29918, 20640, 3950, 29901, 450, 5994, 3950, 304, 671, 363, 278, 11339, 3564, 29889, 13, 418, 11164, 29918, 20640, 3950, 29901, 450, 2322, 5994, 3950, 304, 671, 363, 278, 11164, 3564, 29889, 13, 418, 15595, 29918, 20640, 3950, 29901, 450, 2322, 5994, 3950, 304, 671, 363, 278, 15595, 2286, 29889, 13, 418, 11339, 29918, 6758, 29918, 7915, 29901, 450, 7688, 373, 11339, 6410, 29889, 13, 418, 11164, 29918, 6758, 29918, 7915, 29901, 450, 7688, 373, 11164, 6410, 29889, 13, 418, 15595, 29918, 6758, 29918, 7915, 29901, 450, 7688, 373, 15595, 6410, 29889, 13, 418, 11339, 29918, 22197, 29918, 2801, 29901, 450, 8898, 770, 304, 671, 29889, 13, 418, 11164, 29918, 11618, 29918, 29906, 29901, 313, 27636, 1846, 29871, 319, 421, 13264, 29918, 351, 1237, 29889, 11618, 29889, 13724, 29952, 304, 367, 1304, 408, 13, 4706, 278, 1473, 11164, 3564, 2645, 660, 6509, 29889, 29871, 450, 18177, 515, 13, 4706, 421, 9695, 293, 29918, 11618, 29952, 526, 13746, 565, 445, 338, 451, 4944, 29889, 13, 418, 3646, 29918, 9695, 293, 29918, 11618, 29901, 313, 27636, 1846, 29871, 319, 421, 13264, 29918, 351, 1237, 29889, 11618, 29889, 13724, 29952, 304, 367, 13, 4706, 1304, 408, 278, 3646, 11164, 3564, 2645, 660, 6509, 29889, 7569, 13, 4706, 421, 5182, 29918, 5504, 29918, 19145, 29952, 7945, 6576, 29892, 278, 18177, 515, 421, 9695, 293, 29918, 11618, 29952, 13, 4706, 526, 13746, 313, 28802, 14981, 411, 3844, 29877, 6046, 3025, 421, 5182, 29918, 5504, 29918, 4722, 6348, 304, 421, 13, 4706, 3646, 29918, 9695, 293, 29918, 11618, 1412, 29871, 960, 421, 5182, 29918, 9695, 293, 29918, 11618, 29952, 338, 451, 4944, 29892, 372, 13, 4706, 338, 2825, 491, 3907, 263, 3509, 310, 421, 9695, 293, 29918, 11618, 1673, 607, 2847, 7093, 263, 716, 13, 4706, 3564, 411, 278, 1021, 3829, 322, 967, 1914, 15359, 322, 18177, 29889, 13, 4706, 27313, 292, 263, 421, 13724, 29889, 8552, 29952, 947, 451, 664, 746, 278, 3564, 2777, 13, 4706, 2307, 756, 7945, 519, 4128, 313, 29872, 29889, 29887, 1696, 756, 2307, 1063, 4240, 29892, 470, 746, 13, 4706, 278, 3564, 338, 19383, 15359, 411, 1790, 467, 29871, 512, 1438, 4251, 29892, 372, 338, 701, 13, 4706, 304, 366, 304, 2048, 263, 3509, 2534, 18177, 393, 526, 451, 7258, 411, 278, 13, 4706, 2441, 421, 9695, 293, 29918, 11618, 1673, 577, 393, 445, 508, 367, 1304, 408, 263, 3646, 3564, 29889, 13, 4706, 960, 366, 3867, 263, 421, 5182, 29918, 9695, 293, 29918, 11618, 29952, 393, 29358, 738, 18177, 411, 13, 4706, 421, 9695, 293, 29918, 11618, 1673, 263, 9177, 674, 367, 13817, 541, 694, 3682, 338, 12005, 29889, 13, 418, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29901, 313, 27636, 1846, 13999, 3564, 408, 13, 4706, 3646, 29918, 9695, 293, 29918, 11618, 541, 363, 278, 11164, 29918, 11618, 29918, 29906, 29889, 2823, 5106, 13, 4706, 363, 3646, 29918, 9695, 293, 29918, 11618, 29889, 2811, 871, 367, 1304, 565, 525, 9695, 293, 29918, 11618, 29918, 29906, 29915, 338, 13, 4706, 884, 6790, 29889, 13, 418, 3646, 29918, 5504, 29918, 4722, 29901, 383, 7168, 363, 4964, 2767, 310, 278, 3646, 14379, 29889, 13, 418, 3646, 29918, 5504, 29918, 19145, 29901, 29498, 363, 4964, 2767, 310, 278, 3646, 14379, 29889, 13, 418, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29901, 29871, 319, 740, 363, 20602, 278, 1543, 3538, 323, 29928, 4436, 13, 4706, 6410, 29889, 13, 418, 330, 2735, 29901, 319, 2313, 792, 7329, 363, 5434, 337, 2935, 29889, 13, 418, 20751, 29918, 7052, 29918, 19790, 29901, 9683, 666, 506, 1230, 6287, 363, 278, 20751, 29889, 13, 418, 2847, 29918, 1188, 29918, 2312, 29901, 17250, 995, 363, 1480, 29918, 2312, 29889, 13, 418, 671, 29918, 1188, 29918, 2312, 29918, 262, 29918, 2312, 29918, 6758, 29901, 319, 7223, 29892, 3692, 773, 1480, 29918, 2312, 470, 15595, 13, 4706, 297, 15595, 6410, 29889, 315, 13946, 20240, 310, 317, 2477, 671, 1480, 29918, 2312, 408, 1480, 13, 4706, 1819, 526, 6892, 16588, 261, 304, 664, 411, 29889, 13, 418, 3646, 29918, 296, 14441, 29901, 450, 3646, 6588, 8898, 24687, 29892, 363, 13271, 15595, 29889, 450, 13, 4706, 2322, 995, 338, 8178, 310, 278, 3001, 1353, 310, 8820, 29889, 13, 418, 16030, 29918, 11303, 3262, 29901, 5655, 3309, 304, 20102, 4656, 10070, 29889, 13, 418, 4744, 29918, 2083, 3034, 583, 29901, 319, 6120, 304, 11705, 4744, 19138, 583, 29889, 13, 418, 19138, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 29901, 960, 5852, 29892, 16030, 322, 3564, 2286, 19138, 583, 13, 4706, 674, 367, 3971, 2645, 6694, 29889, 13, 418, 7945, 29918, 10568, 29918, 11808, 29901, 530, 13136, 6795, 304, 11924, 1432, 931, 278, 7945, 13, 4706, 1015, 338, 1065, 29889, 29871, 13109, 29879, 304, 278, 5534, 29918, 10568, 29889, 13, 418, 1024, 29901, 450, 1024, 310, 445, 10823, 29889, 2178, 3651, 297, 445, 3883, 674, 6416, 1090, 13, 4706, 393, 1024, 29889, 13109, 29879, 304, 278, 770, 1024, 29889, 13, 1678, 9995, 13, 1678, 15886, 29889, 7355, 17255, 2344, 12035, 1311, 29892, 1024, 29922, 978, 29897, 13, 13, 1678, 1583, 3032, 3198, 29918, 2467, 29918, 6550, 29898, 2467, 29918, 6550, 29897, 13, 13, 1678, 7787, 29918, 26739, 362, 29918, 6550, 353, 931, 29918, 10568, 29918, 6550, 29889, 26739, 362, 13, 1678, 11164, 29918, 6550, 353, 313, 1212, 29918, 26739, 362, 29918, 6550, 29892, 3158, 29918, 6550, 29897, 13, 13, 1678, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 353, 11164, 29918, 11618, 13, 13, 1678, 565, 11164, 29918, 11618, 29918, 29906, 338, 451, 6213, 29901, 13, 418, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 353, 11164, 29918, 11618, 29918, 29906, 13, 1678, 1683, 29901, 13, 418, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 353, 11164, 29918, 11618, 29889, 8552, 29898, 978, 2433, 29907, 768, 293, 13724, 29906, 1495, 13, 418, 396, 1938, 451, 671, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 565, 11164, 29918, 11618, 29918, 29906, 338, 6213, 29889, 13, 418, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 353, 6213, 13, 13, 1678, 396, 20340, 2745, 11164, 29918, 11618, 29918, 29906, 756, 1063, 13746, 515, 11164, 29918, 11618, 29918, 29896, 1434, 13, 1678, 396, 4969, 3651, 373, 1716, 29889, 13, 1678, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29889, 3258, 29918, 20897, 29898, 9695, 293, 29918, 6550, 29897, 13, 1678, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29889, 3258, 29918, 20897, 29898, 9695, 293, 29918, 6550, 29897, 13, 13, 1678, 565, 3646, 29918, 9695, 293, 29918, 11618, 29901, 13, 418, 3646, 29918, 9695, 293, 29918, 11618, 29889, 3258, 29918, 20897, 29898, 9695, 293, 29918, 6550, 29897, 13, 13, 1678, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29896, 353, 313, 13, 4706, 3619, 29889, 26026, 29918, 8552, 29918, 5182, 29918, 11618, 29918, 2541, 29918, 3198, 29879, 29898, 13, 9651, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29892, 13, 9651, 3646, 29918, 9695, 293, 29918, 11618, 29892, 13, 9651, 1881, 29918, 6550, 29922, 9695, 293, 29918, 6550, 29892, 13, 9651, 1024, 2433, 8667, 29907, 768, 293, 13724, 29896, 8785, 13, 13, 1678, 565, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29901, 13, 418, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29889, 3258, 29918, 20897, 29898, 9695, 293, 29918, 6550, 29897, 13, 1678, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29906, 353, 313, 13, 4706, 3619, 29889, 26026, 29918, 8552, 29918, 5182, 29918, 11618, 29918, 2541, 29918, 3198, 29879, 29898, 13, 9651, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29892, 13, 9651, 3646, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29892, 13, 9651, 1881, 29918, 6550, 29922, 9695, 293, 29918, 6550, 29892, 13, 9651, 1024, 2433, 8667, 29907, 768, 293, 13724, 29906, 8785, 13, 13, 1678, 565, 11339, 29918, 11618, 29901, 13, 418, 11339, 29918, 11618, 29889, 3258, 29918, 20897, 29898, 1212, 29918, 26739, 362, 29918, 6550, 29897, 13, 1678, 1583, 3032, 7168, 29918, 11618, 353, 11339, 29918, 11618, 13, 13, 1678, 8898, 353, 11339, 29918, 22197, 29918, 2801, 29898, 13, 4706, 931, 29918, 10568, 29918, 6550, 29922, 2230, 29918, 10568, 29918, 6550, 29892, 13, 4706, 3158, 29918, 6550, 29922, 2467, 29918, 6550, 29892, 13, 4706, 11339, 29918, 11618, 29922, 1311, 3032, 7168, 29918, 11618, 29892, 13, 4706, 6694, 29922, 8824, 29897, 13, 13, 1678, 1583, 3032, 14968, 29918, 22197, 353, 11339, 29918, 22197, 29918, 2801, 29898, 13, 4706, 931, 29918, 10568, 29918, 6550, 29922, 2230, 29918, 10568, 29918, 6550, 29892, 13, 4706, 3158, 29918, 6550, 29922, 2467, 29918, 6550, 29892, 13, 4706, 11339, 29918, 11618, 29922, 1311, 3032, 7168, 29918, 11618, 29892, 13, 4706, 6694, 29922, 5574, 29897, 13, 13, 1678, 1583, 3032, 1188, 29918, 2312, 353, 3619, 29889, 3258, 29918, 11918, 29898, 13, 4706, 525, 11228, 29918, 1188, 29918, 2312, 742, 13, 4706, 2847, 29918, 1767, 29922, 11228, 29918, 1188, 29918, 2312, 29892, 13, 4706, 26688, 29922, 13264, 29889, 7411, 29941, 29906, 29892, 13, 4706, 7945, 519, 29922, 5574, 29897, 13, 13, 1678, 565, 3646, 29918, 296, 14441, 338, 6213, 29901, 13, 418, 3646, 29918, 296, 14441, 353, 1583, 3032, 657, 29918, 4381, 29918, 5182, 29918, 296, 14441, 29898, 2467, 29918, 6550, 29897, 13, 13, 1678, 1583, 3032, 1509, 29918, 1188, 29918, 2312, 29918, 262, 29918, 2312, 29918, 6758, 353, 671, 29918, 1188, 29918, 2312, 29918, 262, 29918, 2312, 29918, 6758, 13, 1678, 1583, 3032, 5182, 29918, 5504, 29918, 4722, 353, 3646, 29918, 5504, 29918, 4722, 13, 1678, 1583, 3032, 5182, 29918, 5504, 29918, 19145, 353, 3646, 29918, 5504, 29918, 19145, 13, 1678, 1583, 3032, 7168, 29918, 20640, 3950, 353, 11339, 29918, 20640, 3950, 13, 1678, 1583, 3032, 9695, 293, 29918, 20640, 3950, 353, 11164, 29918, 20640, 3950, 13, 1678, 1583, 3032, 2312, 29918, 20640, 3950, 353, 15595, 29918, 20640, 3950, 13, 1678, 1583, 3032, 7168, 29918, 6758, 29918, 7915, 353, 11339, 29918, 6758, 29918, 7915, 13, 1678, 1583, 3032, 9695, 293, 29918, 6758, 29918, 7915, 353, 11164, 29918, 6758, 29918, 7915, 13, 1678, 1583, 3032, 2312, 29918, 6758, 29918, 7915, 353, 15595, 29918, 6758, 29918, 7915, 13, 1678, 1583, 3032, 1594, 29918, 12523, 29918, 6758, 29918, 9144, 353, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 13, 1678, 1583, 3032, 4283, 353, 330, 2735, 13, 1678, 1583, 3032, 276, 1328, 29918, 7052, 29918, 19790, 353, 20751, 29918, 7052, 29918, 19790, 13, 1678, 1583, 3032, 5182, 29918, 296, 14441, 353, 3646, 29918, 296, 14441, 13, 1678, 1583, 3032, 24970, 29918, 11303, 3262, 353, 16030, 29918, 11303, 3262, 13, 1678, 1583, 3032, 8382, 29918, 2083, 3034, 583, 353, 4744, 29918, 2083, 3034, 583, 13, 1678, 1583, 3032, 2083, 3034, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 353, 19138, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 13, 1678, 1583, 3032, 5504, 29918, 5182, 353, 1583, 3032, 657, 29918, 5182, 29918, 786, 29881, 1008, 29898, 13, 4706, 260, 585, 29922, 1311, 3032, 5182, 29918, 5504, 29918, 4722, 29892, 3785, 29922, 1311, 3032, 5182, 29918, 5504, 29918, 19145, 29897, 13, 13, 1678, 7945, 29918, 16506, 29918, 2848, 353, 29871, 29906, 565, 451, 11164, 29918, 11618, 29889, 3859, 29918, 6550, 1683, 6213, 13, 13, 1678, 2428, 29898, 29903, 562, 19661, 29892, 1583, 467, 1649, 2344, 12035, 13, 4706, 931, 29918, 10568, 29918, 6550, 29892, 13, 4706, 3158, 29918, 6550, 29892, 13, 4706, 8898, 29922, 22197, 29892, 13, 4706, 6314, 29918, 22197, 29922, 22197, 29892, 13, 4706, 7945, 29918, 16506, 29918, 2848, 29922, 14968, 29918, 16506, 29918, 2848, 29892, 13, 4706, 4744, 29918, 2083, 3034, 583, 29922, 8382, 29918, 2083, 3034, 583, 29892, 13, 4706, 19138, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 29922, 2083, 3034, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 29892, 13, 4706, 7945, 29918, 10568, 29918, 11808, 29922, 14968, 29918, 10568, 29918, 11808, 29892, 13, 1678, 1723, 13, 13, 1678, 1583, 3032, 294, 29918, 20543, 353, 848, 29918, 535, 13549, 29889, 2887, 4300, 654, 29898, 13, 4706, 1583, 29889, 1272, 29918, 4703, 29892, 269, 802, 29872, 911, 29918, 2230, 29918, 6229, 7607, 14968, 29918, 16506, 29918, 2848, 1275, 29871, 29906, 876, 13, 13, 29871, 822, 903, 3198, 29918, 2467, 29918, 6550, 29898, 1311, 29892, 3158, 29918, 6550, 1125, 13, 1678, 12151, 29918, 2467, 29918, 6550, 353, 15886, 29889, 17510, 29889, 1579, 8606, 29898, 2467, 29918, 6550, 29897, 13, 1678, 363, 1580, 297, 12151, 29918, 2467, 29918, 6550, 29901, 13, 418, 565, 1580, 29889, 29881, 1853, 29889, 275, 29918, 16031, 29901, 13, 4706, 12020, 2216, 1888, 2037, 287, 2392, 29898, 13, 9651, 525, 29903, 562, 19661, 947, 451, 5279, 2304, 19554, 8820, 29889, 525, 13, 9651, 525, 4276, 1580, 29901, 6571, 4286, 4830, 29898, 2467, 29918, 6550, 876, 13, 13, 29871, 822, 903, 657, 29918, 4381, 29918, 5182, 29918, 296, 14441, 29898, 1311, 29892, 3158, 29918, 6550, 1125, 13, 1678, 396, 960, 3646, 29918, 296, 14441, 471, 451, 4502, 29892, 731, 372, 304, 448, 6229, 29898, 29909, 6802, 29906, 29889, 29900, 13, 1678, 396, 3940, 393, 278, 2441, 2322, 24687, 3646, 338, 448, 6229, 29898, 29909, 29897, 297, 278, 317, 2477, 5650, 29889, 13, 1678, 396, 2398, 445, 883, 2785, 756, 884, 1063, 1304, 297, 6944, 491, 278, 2441, 13, 1678, 396, 15717, 322, 756, 297, 1749, 7271, 1063, 901, 13714, 363, 330, 962, 29914, 2589, 29926, 6235, 29889, 13, 1678, 12151, 29918, 2467, 29918, 6550, 353, 15886, 29889, 17510, 29889, 1579, 8606, 29898, 2467, 29918, 6550, 29897, 13, 1678, 3646, 29918, 296, 14441, 353, 448, 9302, 29889, 2083, 4197, 13, 4706, 7442, 29889, 4704, 29898, 14369, 29918, 6550, 29889, 12181, 29889, 294, 29918, 1761, 3101, 13, 4706, 363, 2323, 29918, 6550, 297, 12151, 29918, 2467, 29918, 6550, 13, 268, 2314, 847, 29871, 29906, 29889, 29900, 13, 1678, 736, 3646, 29918, 296, 14441, 13, 13, 29871, 822, 903, 24926, 29898, 1311, 1125, 13, 1678, 9995, 11609, 29879, 385, 1015, 304, 11905, 278, 10823, 29889, 13, 13, 1678, 10061, 583, 18177, 515, 278, 660, 14379, 304, 278, 3646, 660, 3564, 29889, 13, 1678, 9995, 13, 1678, 3619, 29889, 2695, 29918, 20897, 29918, 5504, 29898, 13, 4706, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29889, 20897, 29892, 13, 4706, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29896, 29889, 20897, 29892, 13, 4706, 260, 585, 29922, 29896, 29889, 29900, 29897, 13, 1678, 3619, 29889, 2695, 29918, 20897, 29918, 5504, 29898, 13, 4706, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29889, 20897, 29892, 13, 4706, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29889, 20897, 29892, 13, 4706, 260, 585, 29922, 29896, 29889, 29900, 29897, 13, 13, 29871, 822, 903, 14968, 29898, 1311, 29892, 7271, 29892, 18177, 1125, 13, 1678, 9995, 11609, 29879, 263, 7945, 1015, 304, 2767, 278, 10823, 29915, 29879, 14379, 29889, 13, 13, 1678, 910, 1158, 22983, 411, 278, 4944, 9853, 287, 7271, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 7271, 29901, 319, 931, 29899, 1429, 287, 23324, 706, 1203, 29889, 13, 418, 18177, 29901, 28379, 17336, 470, 1543, 3538, 313, 546, 29899, 16175, 29899, 8269, 29897, 13500, 13, 4706, 18177, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 319, 7945, 29918, 459, 29889, 13, 13, 1678, 390, 1759, 267, 29901, 13, 418, 7865, 2392, 29901, 960, 5994, 19427, 526, 6213, 322, 694, 2322, 995, 471, 4944, 304, 13, 4706, 278, 5823, 29889, 13, 1678, 9995, 13, 1678, 9558, 353, 1583, 3032, 294, 29918, 20543, 29898, 735, 546, 5597, 29897, 13, 1678, 931, 29918, 24530, 29892, 8898, 29918, 24530, 29892, 2446, 29918, 2230, 29918, 24530, 353, 9558, 13, 1678, 8820, 353, 8898, 29918, 24530, 29889, 2467, 13, 13, 1678, 7945, 519, 29918, 9695, 293, 29918, 20897, 353, 1051, 29898, 3318, 29918, 22350, 29889, 2061, 18415, 2697, 29898, 13, 4706, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29889, 14968, 519, 29918, 20897, 718, 13, 4706, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29889, 14968, 519, 29918, 20897, 876, 13, 13, 1678, 411, 15886, 29889, 25584, 993, 29911, 4085, 29898, 12344, 29918, 5943, 287, 29918, 20897, 29922, 8824, 29897, 408, 260, 4085, 29901, 13, 418, 4974, 7945, 519, 29918, 9695, 293, 29918, 20897, 29892, 6702, 3782, 7945, 519, 11164, 3651, 304, 525, 13, 462, 462, 3986, 525, 20640, 675, 29889, 1495, 13, 418, 260, 4085, 29889, 12344, 29898, 14968, 519, 29918, 9695, 293, 29918, 20897, 29897, 13, 418, 11164, 29918, 6758, 353, 1583, 3032, 9695, 293, 29918, 6758, 29918, 7915, 29930, 1311, 29889, 9695, 293, 29918, 6758, 29898, 13, 3986, 931, 29918, 24530, 29892, 13, 3986, 8820, 29892, 13, 3986, 2446, 29918, 2230, 29918, 24530, 29892, 13, 3986, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29922, 1311, 3032, 1594, 29918, 12523, 29918, 6758, 29918, 9144, 29892, 13, 3986, 330, 2735, 29922, 1311, 3032, 4283, 29892, 13, 3986, 20751, 29918, 7052, 29918, 19790, 29922, 1311, 3032, 276, 1328, 29918, 7052, 29918, 19790, 29892, 13, 3986, 18177, 29922, 705, 5861, 29892, 13, 3986, 6694, 29922, 5574, 29897, 13, 13, 1678, 15886, 29889, 8382, 3460, 29889, 3198, 29918, 8058, 1199, 29898, 9695, 293, 29918, 6758, 29892, 525, 29907, 768, 293, 6410, 338, 3041, 470, 23432, 29889, 1495, 13, 1678, 11164, 29918, 5105, 29879, 353, 260, 4085, 29889, 24970, 29898, 9695, 293, 29918, 6758, 29892, 7945, 519, 29918, 9695, 293, 29918, 20897, 29897, 13, 1678, 1583, 3032, 7302, 29918, 5105, 10070, 29898, 9695, 293, 29918, 5105, 29879, 29892, 7945, 519, 29918, 9695, 293, 29918, 20897, 29892, 13, 462, 3986, 1583, 3032, 9695, 293, 29918, 20640, 3950, 29897, 13, 13, 1678, 7945, 519, 29918, 7168, 29918, 20897, 353, 1583, 3032, 7168, 29918, 11618, 29889, 14968, 519, 29918, 20897, 13, 1678, 411, 15886, 29889, 25584, 993, 29911, 4085, 29898, 12344, 29918, 5943, 287, 29918, 20897, 29922, 8824, 29897, 408, 260, 4085, 29901, 13, 418, 4974, 7945, 519, 29918, 7168, 29918, 20897, 29892, 6702, 3782, 7945, 519, 11339, 3651, 304, 525, 13, 462, 462, 308, 525, 20640, 675, 29889, 1495, 13, 418, 260, 4085, 29889, 12344, 29898, 14968, 519, 29918, 7168, 29918, 20897, 29897, 13, 418, 11339, 29918, 6758, 353, 1583, 3032, 7168, 29918, 6758, 29918, 7915, 29930, 1311, 29889, 7168, 29918, 6758, 29898, 13, 3986, 931, 29918, 24530, 29892, 18177, 29922, 705, 5861, 29892, 6694, 29922, 5574, 29897, 13, 1678, 15886, 29889, 8382, 3460, 29889, 3198, 29918, 8058, 1199, 29898, 7168, 29918, 6758, 29892, 525, 29909, 2801, 6410, 338, 3041, 470, 23432, 29889, 1495, 13, 1678, 11339, 29918, 5105, 29879, 353, 260, 4085, 29889, 24970, 29898, 7168, 29918, 6758, 29892, 7945, 519, 29918, 7168, 29918, 20897, 29897, 13, 1678, 1583, 3032, 7302, 29918, 5105, 10070, 29898, 7168, 29918, 5105, 29879, 29892, 7945, 519, 29918, 7168, 29918, 20897, 29892, 13, 462, 3986, 1583, 3032, 7168, 29918, 20640, 3950, 29897, 13, 13, 1678, 15595, 29918, 11918, 353, 518, 1311, 3032, 1188, 29918, 2312, 29962, 13, 1678, 411, 15886, 29889, 25584, 993, 29911, 4085, 29898, 12344, 29918, 5943, 287, 29918, 20897, 29922, 8824, 29897, 408, 260, 4085, 29901, 13, 418, 4974, 15595, 29918, 11918, 29892, 525, 3782, 15595, 2286, 304, 24656, 6169, 13, 418, 260, 4085, 29889, 12344, 29898, 2312, 29918, 11918, 29897, 13, 418, 15595, 29918, 6758, 353, 1583, 3032, 2312, 29918, 6758, 29918, 7915, 334, 1583, 29889, 2312, 29918, 6758, 29898, 13, 3986, 931, 29918, 24530, 29892, 18177, 29922, 705, 5861, 29892, 6694, 29922, 5574, 29897, 13, 1678, 15886, 29889, 8382, 3460, 29889, 3198, 29918, 8058, 1199, 29898, 2312, 29918, 6758, 29892, 525, 28630, 6410, 338, 3041, 470, 23432, 29889, 1495, 13, 1678, 15595, 29918, 5105, 29879, 353, 260, 4085, 29889, 24970, 29898, 2312, 29918, 6758, 29892, 15595, 29918, 11918, 29897, 13, 1678, 1583, 3032, 7302, 29918, 5105, 10070, 29898, 2312, 29918, 5105, 29879, 29892, 15595, 29918, 11918, 29892, 1583, 3032, 2312, 29918, 20640, 3950, 29897, 13, 13, 1678, 411, 15886, 29889, 978, 29918, 6078, 877, 29931, 2209, 267, 29374, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 9695, 293, 29918, 6758, 742, 848, 29922, 9695, 293, 29918, 6758, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 7168, 29918, 6758, 742, 848, 29922, 7168, 29918, 6758, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 2312, 29918, 6758, 742, 848, 29922, 2312, 29918, 6758, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 13, 1678, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29889, 16645, 29918, 1202, 29898, 29896, 29897, 13, 1678, 1583, 3032, 5504, 29918, 5182, 580, 13, 13, 1678, 3001, 29918, 6758, 353, 11164, 29918, 6758, 718, 11339, 29918, 6758, 718, 15595, 29918, 6758, 13, 13, 1678, 4805, 353, 15573, 29931, 2209, 3401, 29898, 13, 4706, 11164, 29918, 6758, 29922, 9695, 293, 29918, 6758, 29892, 11339, 29918, 6758, 29922, 7168, 29918, 6758, 29892, 15595, 29918, 6758, 29922, 2312, 29918, 6758, 29897, 13, 13, 1678, 736, 15886, 29918, 14748, 29889, 29931, 2209, 3401, 29898, 6758, 29922, 7827, 29918, 6758, 29892, 4805, 29922, 17833, 29897, 13, 13, 29871, 822, 903, 6758, 29898, 1311, 29892, 13, 9651, 7271, 29901, 4072, 29889, 29940, 2868, 29911, 6073, 29892, 13, 9651, 18177, 29901, 28379, 29961, 8768, 29889, 29911, 6073, 29962, 353, 6213, 29892, 13, 9651, 6694, 29901, 6120, 353, 7700, 1125, 13, 1678, 9995, 11609, 29879, 278, 6410, 310, 278, 4944, 7271, 29889, 13, 13, 1678, 910, 1158, 338, 871, 1304, 472, 1243, 931, 29991, 13, 13, 1678, 826, 3174, 29901, 13, 418, 7271, 29901, 319, 931, 29899, 1429, 287, 23324, 706, 1203, 29889, 13, 418, 18177, 29901, 28379, 17336, 470, 1543, 3538, 313, 546, 29899, 16175, 29899, 8269, 29897, 13500, 13, 4706, 18177, 29889, 13, 418, 6694, 29901, 26460, 445, 6410, 338, 1641, 12833, 408, 760, 310, 6694, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 319, 421, 29931, 2209, 3401, 29952, 6943, 278, 6410, 363, 278, 7271, 29889, 13, 1678, 9995, 13, 1678, 9558, 353, 1583, 3032, 294, 29918, 20543, 29898, 735, 546, 5597, 29897, 13, 1678, 931, 29918, 24530, 29892, 8898, 29918, 24530, 29892, 2446, 29918, 2230, 29918, 24530, 353, 9558, 13, 1678, 8820, 353, 8898, 29918, 24530, 29889, 2467, 13, 1678, 11164, 29918, 6758, 353, 1583, 3032, 9695, 293, 29918, 6758, 29918, 7915, 334, 1583, 29889, 9695, 293, 29918, 6758, 29898, 13, 4706, 931, 29918, 24530, 29892, 13, 4706, 8820, 29892, 13, 4706, 2446, 29918, 2230, 29918, 24530, 29892, 13, 4706, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29922, 1311, 3032, 1594, 29918, 12523, 29918, 6758, 29918, 9144, 29892, 13, 4706, 330, 2735, 29922, 1311, 3032, 4283, 29892, 13, 4706, 20751, 29918, 7052, 29918, 19790, 29922, 1311, 3032, 276, 1328, 29918, 7052, 29918, 19790, 29892, 13, 4706, 18177, 29922, 705, 5861, 29892, 13, 4706, 6694, 29922, 26495, 29897, 13, 1678, 15886, 29889, 8382, 3460, 29889, 3198, 29918, 8058, 1199, 29898, 9695, 293, 29918, 6758, 29892, 525, 29907, 768, 293, 6410, 338, 3041, 470, 23432, 29889, 1495, 13, 13, 1678, 11339, 29918, 6758, 353, 1583, 3032, 7168, 29918, 6758, 29918, 7915, 334, 1583, 29889, 7168, 29918, 6758, 29898, 13, 4706, 931, 29918, 24530, 29892, 18177, 29922, 705, 5861, 29892, 6694, 29922, 26495, 29897, 13, 1678, 15886, 29889, 8382, 3460, 29889, 3198, 29918, 8058, 1199, 29898, 7168, 29918, 6758, 29892, 525, 29909, 2801, 6410, 338, 3041, 470, 23432, 29889, 1495, 13, 13, 1678, 15595, 29918, 6758, 353, 1583, 3032, 2312, 29918, 6758, 29918, 7915, 334, 1583, 29889, 2312, 29918, 6758, 29898, 13, 4706, 931, 29918, 24530, 29892, 18177, 29922, 705, 5861, 29892, 6694, 29922, 26495, 29897, 13, 1678, 15886, 29889, 8382, 3460, 29889, 3198, 29918, 8058, 1199, 29898, 2312, 29918, 6758, 29892, 525, 28630, 6410, 338, 3041, 470, 23432, 29889, 1495, 13, 13, 1678, 411, 15886, 29889, 978, 29918, 6078, 877, 29931, 2209, 267, 29374, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 9695, 293, 29918, 6758, 742, 848, 29922, 9695, 293, 29918, 6758, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 7168, 29918, 6758, 742, 848, 29922, 7168, 29918, 6758, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 2312, 29918, 6758, 742, 848, 29922, 2312, 29918, 6758, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 13, 1678, 3001, 29918, 6758, 353, 11164, 29918, 6758, 718, 11339, 29918, 6758, 718, 15595, 29918, 6758, 13, 13, 1678, 4805, 353, 15573, 29931, 2209, 3401, 29898, 13, 4706, 11164, 29918, 6758, 29922, 9695, 293, 29918, 6758, 29892, 11339, 29918, 6758, 29922, 7168, 29918, 6758, 29892, 15595, 29918, 6758, 29922, 2312, 29918, 6758, 29897, 13, 13, 1678, 736, 15886, 29918, 14748, 29889, 29931, 2209, 3401, 29898, 6758, 29922, 7827, 29918, 6758, 29892, 4805, 29922, 17833, 29897, 13, 13, 29871, 822, 903, 7302, 29918, 5105, 10070, 29898, 1311, 29892, 4656, 10070, 29892, 3651, 29892, 5994, 3950, 1125, 13, 1678, 396, 1051, 29077, 338, 3734, 363, 5132, 29941, 29889, 13, 1678, 4656, 29879, 29918, 392, 29918, 16908, 353, 1051, 29898, 7554, 29898, 5105, 10070, 29892, 3651, 876, 13, 1678, 565, 1583, 3032, 24970, 29918, 11303, 3262, 338, 451, 6213, 29901, 13, 418, 4656, 29879, 29918, 392, 29918, 16908, 353, 19888, 29918, 13239, 29889, 24049, 29918, 24970, 29918, 12324, 29879, 29898, 5105, 29879, 29918, 392, 29918, 16908, 29892, 13, 462, 462, 462, 539, 1583, 3032, 24970, 29918, 11303, 3262, 29897, 13, 13, 1678, 565, 1583, 3032, 2083, 3034, 675, 29918, 5105, 29879, 29918, 392, 29918, 16908, 29901, 13, 418, 19888, 29918, 13239, 29889, 1202, 29918, 20897, 29918, 2083, 3034, 583, 29898, 5105, 29879, 29918, 392, 29918, 16908, 29892, 13, 462, 462, 3986, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 19888, 29918, 13239, 29889, 1202, 29918, 5105, 10070, 29918, 2083, 3034, 583, 29898, 5105, 29879, 29918, 392, 29918, 16908, 29892, 13, 462, 462, 3986, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 13, 1678, 5994, 3950, 29889, 7302, 29918, 5105, 10070, 29898, 5105, 29879, 29918, 392, 29918, 16908, 29897, 13, 13, 29871, 822, 903, 657, 29918, 5182, 29918, 786, 29881, 1008, 29898, 1311, 29892, 260, 585, 29922, 29896, 29889, 29900, 29892, 3785, 29922, 29896, 1125, 13, 1678, 9995, 5894, 9514, 263, 4964, 2767, 310, 278, 3646, 3564, 4128, 29889, 13, 13, 1678, 1152, 1269, 7688, 281, 29918, 29879, 297, 278, 2441, 3564, 29892, 322, 967, 6590, 13, 1678, 7688, 281, 29918, 29873, 297, 278, 3646, 3564, 29892, 263, 4964, 2767, 338, 29901, 13, 1678, 281, 29918, 29873, 353, 313, 29896, 29899, 260, 585, 29897, 921, 281, 29918, 29873, 718, 260, 585, 921, 16904, 13, 13, 1678, 826, 3174, 29901, 13, 418, 260, 585, 29901, 319, 5785, 17336, 297, 518, 29900, 29892, 29871, 29896, 1822, 13109, 421, 4722, 29922, 29896, 29889, 29900, 29952, 2794, 2898, 2767, 29889, 13, 418, 3785, 29901, 16696, 7292, 472, 607, 278, 3646, 3564, 338, 4784, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 319, 1246, 519, 393, 23233, 263, 4964, 2767, 310, 278, 3646, 3564, 4128, 29889, 13, 1678, 9995, 13, 1678, 411, 15886, 29889, 978, 29918, 6078, 877, 5504, 29918, 5182, 29374, 13, 13, 418, 822, 2767, 7295, 13, 4706, 9995, 6422, 3646, 3564, 1213, 15945, 13, 4706, 11164, 29918, 5504, 29918, 29896, 353, 3619, 29889, 2695, 29918, 20897, 29918, 5504, 29898, 13, 9651, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29889, 20897, 29892, 13, 9651, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29896, 29889, 20897, 29892, 13, 9651, 260, 585, 29892, 13, 9651, 260, 585, 29918, 5464, 29918, 14968, 519, 29922, 29896, 29889, 29900, 29897, 13, 13, 4706, 11164, 29918, 29906, 29918, 5504, 29918, 16908, 353, 3619, 29889, 7176, 786, 287, 29918, 11618, 29918, 20897, 29898, 13, 9651, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29892, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29897, 13, 13, 4706, 3646, 29918, 9695, 293, 29918, 29906, 29918, 5504, 29918, 16908, 353, 3619, 29889, 7176, 786, 287, 29918, 11618, 29918, 20897, 29898, 13, 9651, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29892, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29896, 29897, 13, 13, 4706, 11164, 29918, 5504, 29918, 29906, 353, 3619, 29889, 2695, 29918, 20897, 29918, 5504, 29898, 13, 9651, 11164, 29918, 29906, 29918, 5504, 29918, 16908, 29892, 13, 9651, 3646, 29918, 9695, 293, 29918, 29906, 29918, 5504, 29918, 16908, 29892, 13, 9651, 260, 585, 29892, 13, 9651, 260, 585, 29918, 5464, 29918, 14968, 519, 29922, 29896, 29889, 29900, 29897, 13, 13, 4706, 736, 15886, 29889, 2972, 29898, 9695, 293, 29918, 5504, 29918, 29896, 29892, 11164, 29918, 5504, 29918, 29906, 29897, 13, 13, 418, 736, 3619, 29889, 29853, 1711, 29898, 5504, 29892, 3785, 29892, 525, 5504, 29918, 5182, 29879, 1495, 13, 13, 29871, 822, 903, 7387, 29918, 392, 29918, 1188, 29918, 771, 5824, 29898, 1311, 29892, 931, 29918, 24530, 29892, 6694, 29922, 8824, 1125, 13, 1678, 9995, 2577, 8820, 322, 6590, 1480, 2070, 11614, 515, 8898, 1213, 15945, 13, 1678, 396, 3617, 10650, 3158, 4978, 515, 8898, 29892, 322, 11905, 4768, 622, 943, 1051, 29889, 13, 1678, 9853, 29918, 2311, 353, 17763, 29918, 13239, 29889, 657, 29918, 5561, 29918, 12181, 29898, 2230, 29918, 24530, 29892, 1583, 3032, 2230, 29918, 10568, 29918, 6550, 9601, 29900, 29962, 13, 1678, 8898, 29918, 3859, 353, 1583, 3032, 14968, 29918, 22197, 29889, 657, 29918, 11228, 29918, 3859, 29898, 16175, 29918, 2311, 29897, 13, 1678, 565, 6694, 29901, 13, 418, 3158, 29918, 27691, 353, 1583, 3032, 14968, 29918, 22197, 29889, 27691, 29898, 13, 3986, 931, 29918, 24530, 29892, 8898, 29918, 3859, 29922, 22197, 29918, 3859, 467, 2467, 13, 1678, 1683, 29901, 13, 418, 3158, 29918, 27691, 353, 1583, 3032, 22197, 29889, 27691, 29898, 13, 3986, 931, 29918, 24530, 29892, 8898, 29918, 3859, 29922, 22197, 29918, 3859, 467, 2467, 13, 13, 1678, 396, 21029, 8820, 322, 1480, 29918, 3334, 515, 27615, 4978, 29889, 13, 1678, 8820, 353, 15886, 29889, 17510, 29889, 1958, 29918, 23905, 29898, 2892, 270, 29901, 270, 29889, 11249, 3285, 3158, 29918, 27691, 29897, 13, 1678, 1480, 29918, 1631, 353, 3619, 29889, 1188, 29918, 22795, 3097, 29898, 2467, 29918, 27691, 29892, 8820, 29892, 13, 462, 462, 1678, 1583, 29889, 2467, 29918, 6550, 29897, 13, 13, 1678, 736, 8820, 29892, 1480, 29918, 1631, 13, 13, 29871, 822, 11164, 29918, 6758, 29898, 1311, 29892, 13, 462, 29871, 931, 29918, 24530, 29901, 18696, 29889, 2481, 14448, 29892, 13, 462, 29871, 8820, 29901, 4072, 29889, 29911, 6073, 29892, 13, 462, 29871, 2446, 29918, 2230, 29918, 24530, 29901, 18696, 29889, 2481, 14448, 29892, 13, 462, 29871, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29901, 4072, 29889, 29931, 2209, 29137, 29892, 13, 462, 29871, 330, 2735, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 462, 29871, 20751, 29918, 7052, 29918, 19790, 29901, 4072, 29889, 11031, 353, 29871, 29896, 29889, 29900, 29892, 13, 462, 29871, 18177, 29901, 28379, 29961, 8768, 29889, 29911, 6073, 29962, 353, 6213, 29892, 13, 462, 29871, 6694, 29901, 6120, 353, 7700, 29897, 1599, 4072, 29889, 29911, 6073, 29901, 13, 1678, 9995, 20606, 267, 278, 11164, 6410, 363, 317, 2477, 6694, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 931, 29918, 24530, 29901, 319, 9853, 310, 5335, 4196, 567, 29889, 13, 418, 8820, 29901, 319, 9853, 310, 8820, 29889, 13, 418, 2446, 29918, 2230, 29918, 24530, 29901, 319, 9853, 310, 2446, 5335, 4196, 567, 29889, 13, 418, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29901, 319, 740, 29898, 1594, 29918, 5182, 29879, 29892, 27303, 29897, 304, 10272, 13, 4706, 1543, 3538, 313, 546, 29899, 16175, 29899, 8269, 29897, 6410, 29889, 13, 418, 330, 2735, 29901, 3295, 2798, 363, 5434, 337, 2935, 29889, 13, 418, 20751, 29918, 7052, 29918, 19790, 29901, 9683, 666, 506, 1230, 7329, 304, 6287, 337, 2935, 29889, 13, 418, 18177, 29901, 28379, 17336, 470, 1543, 3538, 313, 546, 29899, 16175, 29899, 8269, 29897, 13500, 13, 4706, 18177, 29889, 13, 418, 6694, 29901, 26460, 445, 6410, 338, 1641, 1304, 363, 6694, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 11164, 29918, 6758, 29901, 319, 17336, 11164, 6410, 29889, 13, 1678, 9995, 13, 1678, 411, 15886, 29889, 978, 29918, 6078, 877, 9695, 293, 29918, 6758, 29374, 13, 418, 17763, 29918, 13239, 29889, 9294, 29918, 17642, 29918, 23905, 29898, 7387, 29892, 1583, 29889, 2467, 29918, 6550, 29897, 13, 418, 17763, 29918, 13239, 29889, 9294, 29918, 17642, 29918, 23905, 29898, 2230, 29918, 24530, 29892, 1583, 29889, 2230, 29918, 10568, 29918, 6550, 29897, 13, 418, 17763, 29918, 13239, 29889, 9294, 29918, 17642, 29918, 23905, 29898, 4622, 29918, 2230, 29918, 24530, 29892, 1583, 29889, 2230, 29918, 10568, 29918, 6550, 29897, 13, 13, 418, 396, 1334, 437, 451, 2767, 11339, 470, 3646, 14379, 297, 11164, 6410, 29889, 13, 418, 2446, 29918, 7387, 29892, 2446, 29918, 1188, 29918, 3334, 353, 1583, 3032, 7387, 29918, 392, 29918, 1188, 29918, 771, 5824, 29898, 4622, 29918, 2230, 29918, 24530, 29892, 13, 462, 462, 462, 1669, 6694, 29922, 8824, 29897, 13, 418, 3646, 29918, 2080, 353, 313, 4622, 29918, 2230, 29918, 24530, 29889, 26739, 362, 29892, 2446, 29918, 7387, 29897, 13, 418, 3646, 29918, 29939, 29918, 5975, 29896, 29892, 443, 3880, 29918, 11618, 29918, 3859, 29896, 353, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29896, 29898, 13, 3986, 3646, 29918, 2080, 29892, 4331, 29918, 1853, 29922, 4622, 29918, 2230, 29918, 24530, 29889, 10568, 29918, 1853, 29892, 6694, 29922, 8824, 29897, 13, 418, 3646, 29918, 29939, 29918, 5975, 29906, 29892, 443, 3880, 29918, 11618, 29918, 3859, 29906, 353, 1583, 3032, 5182, 29918, 9695, 293, 29918, 11618, 29918, 29906, 29898, 13, 3986, 3646, 29918, 2080, 29892, 4331, 29918, 1853, 29922, 4622, 29918, 2230, 29918, 24530, 29889, 10568, 29918, 1853, 29892, 6694, 29922, 8824, 29897, 13, 418, 3646, 29918, 29939, 29918, 5975, 353, 313, 13, 3986, 15886, 29889, 1195, 12539, 29898, 5182, 29918, 29939, 29918, 5975, 29896, 29892, 3646, 29918, 29939, 29918, 5975, 29906, 29897, 448, 13, 3986, 15886, 29889, 4548, 29898, 1311, 3032, 1188, 29918, 2312, 29897, 334, 2446, 29918, 1188, 29918, 3334, 29897, 13, 13, 418, 22599, 29918, 5182, 29879, 353, 15886, 29889, 9847, 29918, 24970, 29898, 13, 3986, 20751, 29918, 7052, 29918, 19790, 334, 2446, 29918, 2230, 29918, 24530, 29889, 276, 1328, 718, 13, 3986, 330, 2735, 334, 2446, 29918, 2230, 29918, 24530, 29889, 2218, 2798, 334, 3646, 29918, 29939, 29918, 5975, 29897, 13, 13, 418, 4450, 29918, 2080, 353, 313, 2230, 29918, 24530, 29889, 26739, 362, 29892, 8820, 29897, 13, 418, 4450, 29918, 1594, 29918, 5182, 29879, 29896, 29892, 903, 353, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29898, 13, 3986, 4450, 29918, 2080, 29892, 4331, 29918, 1853, 29922, 2230, 29918, 24530, 29889, 10568, 29918, 1853, 29892, 6694, 29922, 26495, 29897, 13, 418, 4450, 29918, 1594, 29918, 5182, 29879, 29906, 29892, 903, 353, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29898, 13, 3986, 4450, 29918, 2080, 29892, 4331, 29918, 1853, 29922, 2230, 29918, 24530, 29889, 10568, 29918, 1853, 29892, 6694, 29922, 26495, 29897, 13, 418, 11164, 29918, 6758, 29896, 353, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29898, 1594, 29918, 5182, 29879, 29892, 4450, 29918, 1594, 29918, 5182, 29879, 29896, 29897, 13, 418, 11164, 29918, 6758, 29906, 353, 22599, 29918, 12523, 29918, 6758, 29918, 9144, 29898, 1594, 29918, 5182, 29879, 29892, 4450, 29918, 1594, 29918, 5182, 29879, 29906, 29897, 13, 418, 11164, 29918, 6758, 353, 11164, 29918, 6758, 29896, 718, 11164, 29918, 6758, 29906, 13, 13, 418, 565, 11164, 29918, 6758, 29889, 12181, 29889, 10003, 1405, 29871, 29896, 29901, 13, 4706, 396, 6991, 975, 278, 931, 9927, 29889, 13, 4706, 11164, 29918, 6758, 353, 15886, 29889, 17469, 29918, 2083, 29898, 13, 9651, 11164, 29918, 6758, 29892, 9685, 29922, 3881, 29898, 29896, 29892, 11164, 29918, 6758, 29889, 12181, 29889, 10003, 876, 13, 13, 418, 946, 29887, 29918, 6758, 353, 3619, 29889, 26193, 403, 29918, 6758, 267, 29898, 13, 3986, 639, 29918, 4773, 29918, 6758, 29922, 9695, 293, 29918, 6758, 29892, 13, 3986, 4559, 29918, 7915, 29922, 705, 5861, 29892, 13, 3986, 4943, 2133, 29918, 6758, 7607, 1311, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29889, 6758, 267, 718, 13, 462, 1669, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29889, 6758, 267, 876, 13, 418, 11164, 29918, 6758, 353, 946, 29887, 29918, 6758, 29889, 7827, 29918, 6758, 13, 13, 418, 1583, 3032, 9695, 293, 29918, 6758, 29918, 8382, 29918, 2083, 3034, 583, 29898, 1594, 29918, 5182, 29879, 29892, 4450, 29918, 1594, 29918, 5182, 29879, 29896, 29892, 13, 462, 462, 4706, 4450, 29918, 1594, 29918, 5182, 29879, 29906, 29897, 13, 13, 418, 736, 11164, 29918, 6758, 13, 13, 29871, 822, 11339, 29918, 6758, 29898, 1311, 29892, 13, 462, 931, 29918, 24530, 29901, 18696, 29889, 2481, 14448, 29892, 13, 462, 18177, 29901, 28379, 29961, 8768, 29889, 29911, 6073, 29962, 353, 6213, 29892, 13, 462, 6694, 29901, 28379, 29961, 11227, 29962, 353, 5852, 29897, 1599, 4072, 29889, 29911, 6073, 29901, 13, 1678, 9995, 20606, 267, 278, 11339, 29918, 6758, 363, 317, 2477, 6694, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 931, 29918, 24530, 29901, 319, 9853, 310, 5335, 4196, 567, 29889, 13, 418, 18177, 29901, 28379, 17336, 470, 1543, 3538, 313, 546, 29899, 16175, 29899, 8269, 29897, 13500, 13, 4706, 18177, 29889, 13, 418, 6694, 29901, 26460, 6694, 881, 367, 7436, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 11339, 29918, 6758, 29901, 319, 17336, 11339, 6410, 29889, 13, 1678, 9995, 13, 1678, 411, 15886, 29889, 978, 29918, 6078, 877, 7168, 29918, 6758, 29374, 13, 418, 17763, 29918, 13239, 29889, 9294, 29918, 17642, 29918, 23905, 29898, 2230, 29918, 24530, 29892, 1583, 29889, 2230, 29918, 10568, 29918, 6550, 29897, 13, 13, 418, 8820, 29892, 1480, 29918, 1631, 353, 1583, 3032, 7387, 29918, 392, 29918, 1188, 29918, 771, 5824, 29898, 2230, 29918, 24530, 29892, 13, 462, 462, 462, 1678, 6694, 29922, 26495, 29897, 13, 418, 3646, 29918, 2080, 353, 313, 2230, 29918, 24530, 29889, 26739, 362, 29892, 8820, 29897, 13, 418, 396, 1334, 437, 451, 2767, 11164, 2645, 11339, 6410, 29889, 13, 418, 3646, 29918, 29939, 29918, 5975, 29896, 29892, 903, 353, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29896, 29898, 13, 3986, 3646, 29918, 2080, 29892, 4331, 29918, 1853, 29922, 2230, 29918, 24530, 29889, 10568, 29918, 1853, 29892, 6694, 29922, 8824, 29897, 13, 418, 3646, 29918, 29939, 29918, 5975, 29906, 29892, 903, 353, 1583, 3032, 9695, 293, 29918, 11618, 29918, 29906, 29898, 13, 3986, 3646, 29918, 2080, 29892, 4331, 29918, 1853, 29922, 2230, 29918, 24530, 29889, 10568, 29918, 1853, 29892, 6694, 29922, 8824, 29897, 13, 418, 3646, 29918, 29939, 29918, 5975, 353, 15886, 29889, 1195, 12539, 29898, 5182, 29918, 29939, 29918, 5975, 29896, 29892, 3646, 29918, 29939, 29918, 5975, 29906, 29897, 13, 418, 11339, 29918, 6758, 353, 15886, 29889, 4548, 29898, 1311, 3032, 1188, 29918, 2312, 29897, 334, 1480, 29918, 1631, 448, 3646, 29918, 29939, 29918, 5975, 13, 418, 565, 11339, 29918, 6758, 29889, 12181, 29889, 10003, 1405, 29871, 29896, 29901, 13, 4706, 396, 6991, 975, 278, 931, 9927, 29889, 13, 4706, 11339, 29918, 6758, 353, 15886, 29889, 17469, 29918, 2083, 29898, 13, 9651, 11339, 29918, 6758, 29892, 9685, 29922, 3881, 29898, 29896, 29892, 11339, 29918, 6758, 29889, 12181, 29889, 10003, 876, 13, 418, 1072, 29918, 6758, 353, 1583, 3032, 7168, 29918, 11618, 29889, 6758, 267, 565, 1583, 3032, 7168, 29918, 11618, 1683, 6213, 13, 418, 946, 29887, 29918, 6758, 353, 3619, 29889, 26193, 403, 29918, 6758, 267, 29898, 13, 3986, 639, 29918, 4773, 29918, 6758, 29922, 7168, 29918, 6758, 29892, 13, 3986, 4559, 29918, 7915, 29922, 705, 5861, 29892, 13, 3986, 4943, 2133, 29918, 6758, 29922, 1727, 29918, 6758, 29897, 13, 418, 11339, 29918, 6758, 353, 946, 29887, 29918, 6758, 29889, 7827, 29918, 6758, 13, 418, 1583, 3032, 7168, 29918, 6758, 29918, 8382, 29918, 2083, 3034, 583, 29898, 7168, 29918, 6758, 29892, 8820, 29892, 1480, 29918, 1631, 29892, 13, 462, 462, 539, 3646, 29918, 29939, 29918, 5975, 29892, 931, 29918, 24530, 29897, 13, 13, 418, 736, 11339, 29918, 6758, 13, 13, 29871, 822, 15595, 29918, 6758, 29898, 1311, 29892, 13, 462, 931, 29918, 24530, 29901, 18696, 29889, 2481, 14448, 29892, 13, 462, 18177, 29901, 28379, 29961, 8768, 29889, 29911, 6073, 29962, 353, 6213, 29892, 13, 462, 6694, 29901, 6120, 353, 7700, 29897, 1599, 4072, 29889, 29911, 6073, 29901, 13, 1678, 9995, 20606, 267, 278, 15595, 29918, 6758, 363, 17522, 29899, 29903, 2477, 6694, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 931, 29918, 24530, 29901, 319, 9853, 310, 5335, 4196, 567, 29889, 13, 418, 18177, 29901, 28379, 17336, 470, 1543, 3538, 313, 546, 29899, 16175, 29899, 8269, 29897, 13500, 13, 4706, 18177, 29889, 13, 418, 6694, 29901, 26460, 445, 6410, 338, 1641, 1304, 2645, 6694, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 15595, 29918, 6758, 29901, 319, 17336, 15595, 6410, 29889, 13, 1678, 9995, 13, 1678, 411, 15886, 29889, 978, 29918, 6078, 877, 2312, 29918, 6758, 29374, 13, 418, 17763, 29918, 13239, 29889, 9294, 29918, 17642, 29918, 23905, 29898, 2230, 29918, 24530, 29892, 1583, 29889, 2230, 29918, 10568, 29918, 6550, 29897, 13, 13, 418, 396, 1334, 437, 451, 2767, 11339, 2645, 15595, 6410, 29889, 13, 418, 443, 3880, 29918, 7387, 29892, 1480, 29918, 1631, 353, 1583, 3032, 7387, 29918, 392, 29918, 1188, 29918, 771, 5824, 29898, 13, 3986, 931, 29918, 24530, 29892, 6694, 29922, 8824, 29897, 13, 418, 24687, 29918, 12765, 353, 15886, 29889, 9847, 29918, 24970, 6278, 1188, 29918, 1631, 448, 1583, 3032, 5182, 29918, 296, 14441, 29897, 13, 418, 565, 1583, 3032, 1509, 29918, 1188, 29918, 2312, 29918, 262, 29918, 2312, 29918, 6758, 29901, 13, 4706, 15595, 29918, 6758, 353, 313, 1311, 3032, 1188, 29918, 2312, 334, 24687, 29918, 12765, 29897, 13, 418, 1683, 29901, 13, 4706, 15595, 29918, 6758, 353, 313, 13264, 29889, 4548, 29898, 1311, 3032, 1188, 29918, 2312, 29897, 334, 24687, 29918, 12765, 29897, 13, 13, 418, 565, 15595, 29918, 6758, 29889, 12181, 29889, 10003, 1405, 29871, 29896, 29901, 13, 4706, 396, 6991, 975, 278, 931, 9927, 29889, 13, 4706, 15595, 29918, 6758, 353, 15886, 29889, 17469, 29918, 2083, 29898, 13, 9651, 15595, 29918, 6758, 29892, 9685, 29922, 3881, 29898, 29896, 29892, 15595, 29918, 6758, 29889, 12181, 29889, 10003, 876, 13, 13, 418, 946, 29887, 29918, 6758, 353, 3619, 29889, 26193, 403, 29918, 6758, 267, 29898, 13, 3986, 639, 29918, 4773, 29918, 6758, 29922, 2312, 29918, 6758, 29892, 4559, 29918, 7915, 29922, 705, 5861, 29897, 13, 418, 15595, 29918, 6758, 353, 946, 29887, 29918, 6758, 29889, 7827, 29918, 6758, 13, 13, 418, 1583, 3032, 2312, 29918, 6758, 29918, 8382, 29918, 2083, 3034, 583, 29898, 2312, 29918, 6758, 29892, 24687, 29918, 12765, 29897, 13, 13, 418, 736, 15595, 29918, 6758, 13, 13, 29871, 822, 903, 9695, 293, 29918, 6758, 29918, 8382, 29918, 2083, 3034, 583, 29898, 1311, 29892, 22599, 29918, 5182, 29879, 29892, 4450, 29918, 1594, 29918, 5182, 29879, 29896, 29892, 13, 462, 462, 259, 4450, 29918, 1594, 29918, 5182, 29879, 29906, 1125, 13, 1678, 565, 1583, 3032, 8382, 29918, 2083, 3034, 583, 29901, 13, 418, 22599, 29918, 12523, 29896, 353, 22599, 29918, 5182, 29879, 448, 4450, 29918, 1594, 29918, 5182, 29879, 29896, 13, 418, 22599, 29918, 12523, 29906, 353, 22599, 29918, 5182, 29879, 448, 4450, 29918, 1594, 29918, 5182, 29879, 29906, 13, 418, 22599, 29918, 12523, 353, 15886, 29889, 17685, 4197, 1594, 29918, 12523, 29896, 29892, 22599, 29918, 12523, 29906, 1402, 9685, 29922, 29900, 29897, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 1594, 29918, 12523, 742, 22599, 29918, 12523, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 1594, 29918, 5182, 29879, 742, 22599, 29918, 5182, 29879, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 11965, 29918, 1594, 29918, 5182, 29879, 29896, 742, 4450, 29918, 1594, 29918, 5182, 29879, 29896, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 11965, 29918, 1594, 29918, 5182, 29879, 29906, 742, 4450, 29918, 1594, 29918, 5182, 29879, 29906, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 13, 29871, 822, 903, 7168, 29918, 6758, 29918, 8382, 29918, 2083, 3034, 583, 29898, 1311, 29892, 11339, 29918, 6758, 29892, 8820, 29892, 1480, 29918, 1631, 29892, 13, 462, 462, 29871, 3646, 29918, 29939, 29918, 5975, 29892, 931, 29918, 24530, 1125, 13, 1678, 565, 1583, 3032, 8382, 29918, 2083, 3034, 583, 29901, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 7168, 29918, 6758, 742, 11339, 29918, 6758, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 1018, 29901, 13, 4706, 363, 1024, 29892, 3158, 297, 17763, 29918, 13239, 29889, 1579, 8606, 29918, 2541, 29918, 2212, 1312, 29918, 24772, 29898, 7387, 1125, 13, 3986, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 29898, 978, 29892, 3158, 29892, 13, 462, 462, 965, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 5174, 7865, 2392, 29901, 13, 4706, 1209, 29871, 396, 13211, 2750, 7463, 317, 2477, 29161, 393, 437, 451, 4153, 13, 4706, 396, 5706, 8820, 29889, 13, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 1188, 29918, 1631, 742, 1480, 29918, 1631, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 296, 14441, 29918, 485, 29887, 742, 13, 3986, 848, 10457, 13264, 29889, 17469, 29918, 12676, 29898, 2080, 29918, 20158, 29922, 1188, 29918, 1631, 511, 13, 3986, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 5182, 29918, 29939, 29918, 5975, 742, 3646, 29918, 29939, 29918, 5975, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 9853, 29918, 2311, 353, 17763, 29918, 13239, 29889, 657, 29918, 5561, 29918, 12181, 29898, 2230, 29918, 24530, 29892, 13, 462, 462, 795, 1583, 3032, 2230, 29918, 10568, 29918, 6550, 9601, 29900, 29962, 13, 418, 8898, 29918, 3859, 353, 1583, 3032, 14968, 29918, 22197, 29889, 657, 29918, 11228, 29918, 3859, 29898, 16175, 29918, 2311, 29897, 13, 418, 3158, 29918, 27691, 353, 1583, 3032, 14968, 29918, 22197, 29889, 27691, 29898, 13, 3986, 931, 29918, 24530, 29892, 8898, 29918, 3859, 467, 2467, 13, 418, 565, 338, 8758, 29898, 2467, 29918, 27691, 29892, 15886, 29886, 29889, 27691, 29879, 29889, 19077, 1125, 13, 4706, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 627, 29918, 12676, 742, 3158, 29918, 27691, 29889, 2029, 29892, 13, 462, 462, 308, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 4706, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 627, 29918, 4172, 3359, 742, 13, 462, 462, 308, 3158, 29918, 27691, 29889, 7052, 29892, 13, 462, 462, 308, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 25342, 338, 8758, 29898, 2467, 29918, 27691, 29892, 15886, 29886, 29889, 27691, 29879, 29889, 29907, 20440, 936, 1125, 13, 4706, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 627, 29918, 8513, 742, 3158, 29918, 27691, 29889, 8513, 3285, 13, 462, 462, 308, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 1018, 29901, 13, 4706, 363, 1024, 29892, 3158, 29918, 5721, 297, 17763, 29918, 13239, 29889, 1579, 8606, 29918, 2541, 29918, 2212, 1312, 29918, 24772, 29898, 13, 9651, 3158, 29918, 27691, 1125, 13, 3986, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 296, 14441, 29918, 29915, 718, 1024, 29892, 13, 462, 462, 965, 3158, 29918, 5721, 29889, 296, 14441, 3285, 13, 462, 462, 965, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 5174, 2216, 1888, 2037, 287, 2392, 29901, 13, 4706, 1209, 29871, 396, 3834, 18822, 437, 451, 505, 385, 16114, 293, 24687, 29889, 13, 13, 29871, 822, 903, 2312, 29918, 6758, 29918, 8382, 29918, 2083, 3034, 583, 29898, 1311, 29892, 15595, 29918, 6758, 29892, 24687, 29918, 12765, 1125, 13, 1678, 565, 1583, 3032, 8382, 29918, 2083, 3034, 583, 29901, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 2312, 29918, 6758, 742, 15595, 29918, 6758, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 418, 3619, 29889, 17158, 29918, 20158, 29918, 2083, 3034, 583, 877, 296, 14441, 29918, 12765, 742, 24687, 29918, 12765, 29892, 13, 462, 462, 539, 1583, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 13, 418, 15886, 29889, 12667, 29889, 29894, 29906, 29889, 7727, 29889, 19529, 279, 29898, 13, 3986, 1024, 2433, 1188, 29918, 2312, 742, 848, 29922, 1311, 3032, 1188, 29918, 2312, 29892, 4331, 29922, 1311, 29889, 14968, 29918, 10568, 29918, 11808, 29897, 13, 2 ]

tests/test_allof.py

tgallant/sphinx-json-schema

0

90653

from unittest import TestCase from sphinx_json_schema_formatter.mergers import merge class AllOfTestCase(TestCase): def test_merge_properties(self): base = { "required": ["A"], "properties": { "A": {"type": "string", "enum": ["x", "y"]}, "B": {"type": "string"}, }, } to_merge = { "required": ["C"], "properties": { "A": {"type": "string", "enum": ["x"]}, "C": {"type": "string"}, }, } merge(base, to_merge, "allOf") self.assertDictEqual( base, { "required": ["A", "C"], "properties": { "A": {"type": "string", "enum": ["x"]}, "B": {"type": "string"}, "C": {"type": "string"}, }, }, )

[ 1, 515, 443, 27958, 1053, 4321, 8259, 13, 13, 3166, 269, 561, 14668, 29918, 3126, 29918, 11010, 29918, 689, 2620, 29889, 1050, 5743, 1053, 10366, 13, 13, 13, 1990, 2178, 2776, 3057, 8259, 29898, 3057, 8259, 1125, 13, 1678, 822, 1243, 29918, 14634, 29918, 11330, 29898, 1311, 1125, 13, 4706, 2967, 353, 426, 13, 9651, 376, 12403, 1115, 6796, 29909, 12436, 13, 9651, 376, 11330, 1115, 426, 13, 18884, 376, 29909, 1115, 8853, 1853, 1115, 376, 1807, 613, 376, 18605, 1115, 6796, 29916, 613, 376, 29891, 3108, 1118, 13, 18884, 376, 29933, 1115, 8853, 1853, 1115, 376, 1807, 10758, 13, 9651, 2981, 13, 4706, 500, 13, 13, 4706, 304, 29918, 14634, 353, 426, 13, 9651, 376, 12403, 1115, 6796, 29907, 12436, 13, 9651, 376, 11330, 1115, 426, 13, 18884, 376, 29909, 1115, 8853, 1853, 1115, 376, 1807, 613, 376, 18605, 1115, 6796, 29916, 3108, 1118, 13, 18884, 376, 29907, 1115, 8853, 1853, 1115, 376, 1807, 10758, 13, 9651, 2981, 13, 4706, 500, 13, 13, 4706, 10366, 29898, 3188, 29892, 304, 29918, 14634, 29892, 376, 497, 2776, 1159, 13, 13, 4706, 1583, 29889, 9294, 21533, 9843, 29898, 13, 9651, 2967, 29892, 13, 9651, 426, 13, 18884, 376, 12403, 1115, 6796, 29909, 613, 376, 29907, 12436, 13, 18884, 376, 11330, 1115, 426, 13, 462, 1678, 376, 29909, 1115, 8853, 1853, 1115, 376, 1807, 613, 376, 18605, 1115, 6796, 29916, 3108, 1118, 13, 462, 1678, 376, 29933, 1115, 8853, 1853, 1115, 376, 1807, 10758, 13, 462, 1678, 376, 29907, 1115, 8853, 1853, 1115, 376, 1807, 10758, 13, 18884, 2981, 13, 9651, 2981, 13, 4706, 1723, 13, 2 ]

projects/models.py

fantasticfour7/crowdfunding

0

116579

<filename>projects/models.py from django.db import models #domain choices Domain_Choices = [ ('1', ('Agriculture')), ('2', ('Business')), ('3', ('Computer')), ('4', ('Civil')), ('5', ('Performing Arts')), ('6', ('Electrical')), ('7', ('Biotechnology')), ('8', ('Biomedical')), ('9', ('Electronics')), ('10', ('Mechanical')), ('11', ('Chemical')), ('12', ('Cinematography')), ('13', ('Educational')), ] # class for Student projects class UserProject(models.Model): owner = models.ForeignKey('accounts.CustomUser',related_name='project', on_delete = models.CASCADE) name = models.CharField(max_length = 100) funds_Required = models.PositiveIntegerField() domain = models.CharField(choices = Domain_Choices, default = False, blank = False, max_length = 10 ) Project_Description = models.TextField() image1 = models.FileField() image2 = models.FileField() image3 = models.FileField() image4 = models.FileField() contributors = models.CharField(max_length = 300) ongoing = models.BooleanField(default = False) def __str__(self): return self.name

[ 1, 529, 9507, 29958, 16418, 29914, 9794, 29889, 2272, 13, 3166, 9557, 29889, 2585, 1053, 4733, 13, 13, 29937, 7247, 19995, 13, 15951, 29918, 15954, 1575, 353, 518, 13, 1678, 6702, 29896, 742, 6702, 29909, 629, 3953, 545, 1495, 511, 13, 1678, 6702, 29906, 742, 6702, 16890, 3335, 1495, 511, 13, 1678, 6702, 29941, 742, 6702, 20606, 261, 1495, 511, 13, 1678, 6702, 29946, 742, 6702, 29907, 5341, 1495, 511, 13, 1678, 6702, 29945, 742, 6702, 5894, 689, 292, 11401, 1495, 511, 13, 1678, 6702, 29953, 742, 6702, 29923, 781, 16888, 1495, 511, 13, 1678, 6702, 29955, 742, 6702, 20517, 866, 3049, 3002, 1495, 511, 13, 1678, 6702, 29947, 742, 6702, 29933, 14910, 287, 936, 1495, 511, 13, 1678, 6702, 29929, 742, 6702, 29923, 781, 1617, 1199, 1495, 511, 13, 1678, 6702, 29896, 29900, 742, 6702, 6816, 5083, 936, 1495, 511, 13, 1678, 6702, 29896, 29896, 742, 6702, 1451, 331, 936, 1495, 511, 13, 1678, 6702, 29896, 29906, 742, 6702, 29907, 262, 4579, 5275, 1495, 511, 13, 1678, 6702, 29896, 29941, 742, 6702, 29923, 700, 29883, 1288, 1495, 511, 13, 29962, 13, 13, 29937, 770, 363, 15740, 9279, 13, 1990, 4911, 7653, 29898, 9794, 29889, 3195, 1125, 13, 1678, 12271, 353, 4733, 29889, 27755, 2558, 877, 10149, 29879, 29889, 7281, 2659, 742, 12817, 29918, 978, 2433, 4836, 742, 373, 29918, 8143, 353, 4733, 29889, 29907, 3289, 5454, 2287, 29897, 13, 1678, 1024, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 353, 29871, 29896, 29900, 29900, 29897, 13, 1678, 29199, 29918, 19347, 353, 4733, 29889, 9135, 3321, 7798, 3073, 580, 13, 1678, 5354, 353, 4733, 29889, 27890, 29898, 1859, 1575, 353, 28460, 29918, 15954, 1575, 29892, 2322, 353, 7700, 29892, 9654, 353, 7700, 29892, 4236, 29918, 2848, 353, 29871, 29896, 29900, 1723, 13, 1678, 8010, 29918, 9868, 29871, 353, 4733, 29889, 15778, 580, 13, 1678, 1967, 29896, 353, 4733, 29889, 2283, 3073, 580, 13, 1678, 1967, 29906, 353, 4733, 29889, 2283, 3073, 580, 13, 1678, 1967, 29941, 353, 4733, 29889, 2283, 3073, 580, 13, 1678, 1967, 29946, 353, 4733, 29889, 2283, 3073, 580, 13, 1678, 17737, 29560, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 353, 29871, 29941, 29900, 29900, 29897, 13, 1678, 373, 17696, 353, 4733, 29889, 18146, 3073, 29898, 4381, 353, 7700, 29897, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 1583, 29889, 978, 2 ]

Medium/229.py

Hellofafar/Leetcode

6

111139

# ------------------------------ # 229. Majority Element II # # Description: # Given an integer array of size n, find all elements that appear more than ⌊ n/3 ⌋ times. # Note: The algorithm should run in linear time and in O(1) space. # Example 1: # Input: [3,2,3] # Output: [3] # # Example 2: # Input: [1,1,1,3,3,2,2,2] # Output: [1,2] # # Version: 1.0 # 09/26/18 by Jianfa # ------------------------------ class Solution(object): def majorityElement(self, nums): """ :type nums: List[int] :rtype: List[int] since the requirement is finding the majority for more than ceiling of [n/3], the answer would be less than or equal to two numbers. """ if not nums: return [] count1, count2, candidate1, candidate2 = 0, 0, 0, 1 for n in nums: if n == candidate1: count1 += 1 elif n == candidate2: count2 += 1 elif count1 == 0: candidate1, count1 = n, 1 elif count2 == 0: candidate2, count2 = n, 1 else: count1 -= 1 count2 -= 1 res = [] for i in (candidate1, candidate2): if nums.count(i) > len(nums) / 3: res.append(i) return res # Used for testing if __name__ == "__main__": test = Solution() # ------------------------------ # Summary: # Get idea from https://leetcode.com/problems/majority-element-ii/discuss/63520/Boyer-Moore-Majority-Vote-algorithm-and-my-elaboration # Boyer-Moore Majority Vote algorithm: http://goo.gl/64Nams

[ 1, 396, 448, 2683, 9072, 29899, 13, 29937, 29871, 29906, 29906, 29929, 29889, 11019, 537, 10619, 1944, 13, 29937, 29871, 13, 29937, 12953, 29901, 13, 29937, 11221, 385, 6043, 1409, 310, 2159, 302, 29892, 1284, 599, 3161, 393, 2615, 901, 1135, 29871, 229, 143, 141, 302, 29914, 29941, 29871, 229, 143, 142, 3064, 29889, 13, 29937, 3940, 29901, 450, 5687, 881, 1065, 297, 5608, 931, 322, 297, 438, 29898, 29896, 29897, 2913, 29889, 13, 29937, 8741, 29871, 29896, 29901, 13, 29937, 10567, 29901, 518, 29941, 29892, 29906, 29892, 29941, 29962, 13, 29937, 10604, 29901, 518, 29941, 29962, 13, 29937, 29871, 13, 29937, 8741, 29871, 29906, 29901, 13, 29937, 10567, 29901, 518, 29896, 29892, 29896, 29892, 29896, 29892, 29941, 29892, 29941, 29892, 29906, 29892, 29906, 29892, 29906, 29962, 13, 29937, 10604, 29901, 518, 29896, 29892, 29906, 29962, 13, 29937, 29871, 13, 29937, 10079, 29901, 29871, 29896, 29889, 29900, 13, 29937, 29871, 29900, 29929, 29914, 29906, 29953, 29914, 29896, 29947, 491, 435, 713, 5444, 13, 29937, 448, 2683, 9072, 29899, 13, 13, 1990, 24380, 29898, 3318, 1125, 13, 1678, 822, 13638, 2642, 29898, 1311, 29892, 954, 29879, 1125, 13, 4706, 9995, 13, 4706, 584, 1853, 954, 29879, 29901, 2391, 29961, 524, 29962, 13, 4706, 584, 29878, 1853, 29901, 2391, 29961, 524, 29962, 13, 308, 13, 4706, 1951, 278, 11809, 338, 9138, 278, 13638, 363, 901, 1135, 2257, 6504, 310, 518, 29876, 29914, 29941, 1402, 29871, 13, 4706, 278, 1234, 723, 367, 3109, 1135, 470, 5186, 304, 1023, 3694, 29889, 13, 4706, 9995, 13, 4706, 565, 451, 954, 29879, 29901, 13, 9651, 736, 5159, 13, 308, 13, 4706, 2302, 29896, 29892, 2302, 29906, 29892, 14020, 29896, 29892, 14020, 29906, 353, 29871, 29900, 29892, 29871, 29900, 29892, 29871, 29900, 29892, 29871, 29896, 13, 4706, 363, 302, 297, 954, 29879, 29901, 13, 9651, 565, 302, 1275, 14020, 29896, 29901, 13, 18884, 2302, 29896, 4619, 29871, 29896, 13, 9651, 25342, 302, 1275, 14020, 29906, 29901, 13, 18884, 2302, 29906, 4619, 29871, 29896, 13, 9651, 25342, 2302, 29896, 1275, 29871, 29900, 29901, 13, 18884, 14020, 29896, 29892, 2302, 29896, 353, 302, 29892, 29871, 29896, 13, 9651, 25342, 2302, 29906, 1275, 29871, 29900, 29901, 13, 18884, 14020, 29906, 29892, 2302, 29906, 353, 302, 29892, 29871, 29896, 13, 9651, 1683, 29901, 13, 18884, 2302, 29896, 22361, 29871, 29896, 13, 18884, 2302, 29906, 22361, 29871, 29896, 13, 308, 13, 4706, 620, 353, 5159, 13, 4706, 363, 474, 297, 313, 29883, 5380, 403, 29896, 29892, 14020, 29906, 1125, 13, 9651, 565, 954, 29879, 29889, 2798, 29898, 29875, 29897, 1405, 7431, 29898, 1949, 29879, 29897, 847, 29871, 29941, 29901, 13, 18884, 620, 29889, 4397, 29898, 29875, 29897, 13, 308, 13, 4706, 736, 620, 13, 308, 13, 13, 29937, 501, 8485, 363, 6724, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 1678, 1243, 353, 24380, 580, 13, 13, 29937, 448, 2683, 9072, 29899, 13, 29937, 6991, 5219, 29901, 13, 29937, 3617, 2969, 515, 2045, 597, 280, 300, 401, 29889, 510, 29914, 17199, 29879, 29914, 21355, 537, 29899, 5029, 29899, 2236, 29914, 2218, 13571, 29914, 29953, 29941, 29945, 29906, 29900, 29914, 8431, 7598, 29899, 22638, 487, 29899, 29924, 1175, 272, 537, 29899, 29963, 866, 29899, 20567, 29899, 392, 29899, 1357, 29899, 295, 3717, 362, 13, 29937, 1952, 7598, 29899, 22638, 487, 11019, 537, 478, 866, 5687, 29901, 1732, 597, 1484, 29877, 29889, 3820, 29914, 29953, 29946, 29940, 2232, 2 ]

python/app.py

ncolesummers/microservices-calculator

0

28510

<filename>python/app.py<gh_stars>0 import flask from flask import request, jsonify from flask_cors import CORS import math from wasmer import engine, Store, Module, Instance app = flask.Flask(__name__) CORS(app) @app.route('/add', methods=['POST']) def add(): store = Store() # Let's compile the module to be able to execute it! module = Module(store, """ (module (type (func (param f32 f32) (result f32))) (func (export "sum") (type 0) (param f32) (param f32) (result f32) local.get 0 local.get 1 f32.add)) """) # Now the module is compiled, we can instantiate it. instance = Instance(module) content = request.json [operand_one, operand_two] = [float(content['operandOne']), float(content['operandTwo'])] print(f"Calculating {operand_one} + {operand_two}", flush=True) out = jsonify({"result": instance.exports.sum(operand_one, operand_two)}) return out app.run(host="0.0.0.0")

[ 1, 529, 9507, 29958, 4691, 29914, 932, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 29784, 13, 3166, 29784, 1053, 2009, 29892, 4390, 1598, 13, 3166, 29784, 29918, 29883, 943, 1053, 315, 24125, 13, 5215, 5844, 13, 13, 3166, 471, 1050, 1053, 6012, 29892, 14491, 29892, 15591, 29892, 2799, 749, 13, 13, 932, 353, 29784, 29889, 8754, 1278, 22168, 978, 1649, 29897, 13, 29907, 24125, 29898, 932, 29897, 13, 13, 13, 29992, 932, 29889, 13134, 11219, 1202, 742, 3519, 29922, 1839, 5438, 11287, 13, 1753, 788, 7295, 13, 29871, 3787, 353, 14491, 580, 13, 13, 29871, 396, 2803, 29915, 29879, 6633, 278, 3883, 304, 367, 2221, 304, 6222, 372, 29991, 13, 29871, 3883, 353, 15591, 29898, 8899, 29892, 9995, 13, 29871, 313, 5453, 13, 1678, 313, 1853, 313, 9891, 313, 3207, 285, 29941, 29906, 285, 29941, 29906, 29897, 313, 2914, 285, 29941, 29906, 4961, 13, 1678, 313, 9891, 313, 15843, 376, 2083, 1159, 313, 1853, 29871, 29900, 29897, 313, 3207, 285, 29941, 29906, 29897, 313, 3207, 285, 29941, 29906, 29897, 313, 2914, 285, 29941, 29906, 29897, 13, 418, 1887, 29889, 657, 29871, 29900, 13, 418, 1887, 29889, 657, 29871, 29896, 13, 418, 285, 29941, 29906, 29889, 1202, 876, 13, 29871, 5124, 1159, 13, 13, 29871, 396, 2567, 278, 3883, 338, 13126, 29892, 591, 508, 25112, 372, 29889, 13, 29871, 2777, 353, 2799, 749, 29898, 5453, 29897, 13, 13, 29871, 2793, 353, 2009, 29889, 3126, 13, 29871, 518, 3372, 392, 29918, 650, 29892, 1751, 392, 29918, 10184, 29962, 353, 518, 7411, 29898, 3051, 1839, 3372, 392, 6716, 2033, 511, 5785, 29898, 3051, 1839, 3372, 392, 13985, 2033, 4638, 13, 29871, 1596, 29898, 29888, 29908, 27065, 1218, 426, 3372, 392, 29918, 650, 29913, 718, 426, 3372, 392, 29918, 10184, 17671, 28371, 29922, 5574, 29897, 13, 29871, 714, 353, 4390, 1598, 3319, 29908, 2914, 1115, 2777, 29889, 26500, 29889, 2083, 29898, 3372, 392, 29918, 650, 29892, 1751, 392, 29918, 10184, 26972, 13, 259, 13, 29871, 736, 714, 13, 13, 932, 29889, 3389, 29898, 3069, 543, 29900, 29889, 29900, 29889, 29900, 29889, 29900, 1159, 13, 2 ]

game/serializers/question_with_answer_serializer.py

dimadk24/english-fight-api

0

47072

from rest_framework import serializers from game.serializers.question_serializer import QuestionSerializer class QuestionWithAnswerSerializer(QuestionSerializer): correct_answer = serializers.CharField()

[ 1, 515, 1791, 29918, 4468, 1053, 7797, 19427, 13, 13, 3166, 3748, 29889, 15550, 19427, 29889, 12470, 29918, 15550, 3950, 1053, 894, 17679, 13, 13, 13, 1990, 894, 3047, 22550, 17679, 29898, 16492, 17679, 1125, 13, 1678, 1959, 29918, 12011, 353, 7797, 19427, 29889, 27890, 580, 13, 2 ]

simtest.py

agilethought/RasbPiAgileBot

1

60156

import time from breezycreate2 import Robot #robot = create.Create('/dev/ttyUSB0') #robot = Robot('/dev/ttyUSB0', "57600") robot = Robot('sim') def write_sensors(): #robot.robot.get_packet(19) #robot.robot.get_packet(20) print('distance: ', robot.robot.sensor_state['distance']) print('angle: ', robot.robot.sensor_state['angle']) #print('RIGHT_VELOCITY: ', robot.getSensor('RIGHT_VELOCITY')) #print('LEFT_VELOCITY: ', robot.getSensor('LEFT_VELOCITY')) write_sensors() robot.drive(100, 1500) time.sleep(1) write_sensors() time.sleep(1) write_sensors() time.sleep(1) write_sensors() robot.drive(-200, 500) time.sleep(1) write_sensors() #robot.shutdown()

[ 1, 1053, 931, 13, 3166, 289, 929, 1537, 3258, 29906, 1053, 6417, 327, 13, 13, 29937, 307, 7451, 353, 1653, 29889, 4391, 11219, 3359, 29914, 4349, 29965, 1744, 29900, 1495, 13, 29937, 307, 7451, 353, 6417, 327, 11219, 3359, 29914, 4349, 29965, 1744, 29900, 742, 376, 29945, 29955, 29953, 29900, 29900, 1159, 13, 307, 7451, 353, 6417, 327, 877, 3601, 1495, 13, 13, 1753, 2436, 29918, 23149, 943, 7295, 13, 268, 396, 307, 7451, 29889, 307, 7451, 29889, 657, 29918, 4058, 300, 29898, 29896, 29929, 29897, 13, 268, 396, 307, 7451, 29889, 307, 7451, 29889, 657, 29918, 4058, 300, 29898, 29906, 29900, 29897, 13, 268, 1596, 877, 19244, 29901, 13420, 19964, 29889, 307, 7451, 29889, 29879, 6073, 29918, 3859, 1839, 19244, 11287, 13, 268, 1596, 877, 2521, 29901, 13420, 19964, 29889, 307, 7451, 29889, 29879, 6073, 29918, 3859, 1839, 2521, 11287, 13, 1678, 396, 2158, 877, 22789, 3912, 29918, 12064, 16652, 11937, 29901, 13420, 19964, 29889, 657, 29903, 6073, 877, 22789, 3912, 29918, 12064, 16652, 11937, 8785, 13, 1678, 396, 2158, 877, 28024, 29918, 12064, 16652, 11937, 29901, 13420, 19964, 29889, 657, 29903, 6073, 877, 28024, 29918, 12064, 16652, 11937, 8785, 13, 29871, 13, 3539, 29918, 23149, 943, 580, 13, 307, 7451, 29889, 21594, 29898, 29896, 29900, 29900, 29892, 29871, 29896, 29945, 29900, 29900, 29897, 13, 2230, 29889, 17059, 29898, 29896, 29897, 13, 13, 3539, 29918, 23149, 943, 580, 13, 2230, 29889, 17059, 29898, 29896, 29897, 13, 13, 3539, 29918, 23149, 943, 580, 13, 2230, 29889, 17059, 29898, 29896, 29897, 13, 13, 3539, 29918, 23149, 943, 580, 13, 13, 307, 7451, 29889, 21594, 6278, 29906, 29900, 29900, 29892, 29871, 29945, 29900, 29900, 29897, 13, 2230, 29889, 17059, 29898, 29896, 29897, 13, 13, 3539, 29918, 23149, 943, 580, 13, 29937, 307, 7451, 29889, 845, 329, 3204, 580, 13, 2 ]

setup.py

nishantsinghdev/mshow

0

76570

from setuptools import setup setup(name='mshow', version = '7.0', __version__='7.0', description='Sample Message Showing Library', url='https://github.com/nishantsinghdev/mshow', author='<NAME>', author_email='<EMAIL>', license='MIT', packages=['mshow'], zip_safe=False)

[ 1, 515, 731, 21245, 8789, 1053, 6230, 13, 13, 14669, 29898, 978, 2433, 29885, 4294, 742, 13, 418, 1873, 353, 525, 29955, 29889, 29900, 742, 13, 418, 4770, 3259, 1649, 2433, 29955, 29889, 29900, 742, 13, 418, 6139, 2433, 17708, 7777, 7704, 292, 9538, 742, 13, 418, 3142, 2433, 991, 597, 3292, 29889, 510, 29914, 29876, 728, 1934, 292, 29882, 3359, 29914, 29885, 4294, 742, 13, 418, 4148, 2433, 29966, 5813, 29958, 742, 13, 418, 4148, 29918, 5269, 2433, 29966, 26862, 6227, 29958, 742, 13, 418, 19405, 2433, 26349, 742, 13, 418, 9741, 29922, 1839, 29885, 4294, 7464, 13, 418, 14319, 29918, 11177, 29922, 8824, 29897, 13, 2 ]

part-2/2-iterators/Example-consuming_iterators_manually.py

boconlonton/python-deep-dive

0

16261

""" Consuming Iterator manually """ from collections import namedtuple def cast(data_type, value): """Cast the value into a correct data type""" if data_type == 'DOUBLE': return float(value) elif data_type == 'STRING': return str(value) elif data_type == 'INT': return int(value) def cast_row(data_types1, data_row): return [ cast(data_type, value) for data_type, value in zip(data_types1, data_row) ] # cars = [] # with open('cars.csv') as file: # row_index = 0 # for line in file: # if row_index == 0: # # Header row # headers = line.strip('\n').split(';') # Car = namedtuple('Car', headers) # elif row_index == 1: # data_types = line.strip('\n').split(';') # # print('types', data_types) # else: # # data row # data = line.strip('\n').split(';') # data = cast_row(data_types, data) # car = Car(*data) # cars.append(car) # # print(data) # row_index += 1 # with open('cars.csv') as file: # file_iter = iter(file) # headers = next(file_iter).strip('\n').split(';') # Car = namedtuple('Car', headers) # data_types = next(file_iter).strip('\n').split(';') # for line in file_iter: # data = line.strip('\n').split(';') # data = cast_row(data_types, data) # car = Car(*data) # cars.append(car) with open('cars.csv') as file: file_iter = iter(file) headers = next(file_iter).strip('\n').split(';') Car = namedtuple('Car', headers) data_types = next(file_iter).strip('\n').split(';') cars = [Car(*cast_row( data_types, line.strip('\n').split(';') )) for line in file_iter] print(cars)

[ 1, 9995, 13, 13696, 9929, 20504, 1061, 7522, 13, 15945, 29908, 13, 3166, 16250, 1053, 4257, 23583, 13, 13, 13, 1753, 4320, 29898, 1272, 29918, 1853, 29892, 995, 1125, 13, 1678, 9995, 15738, 278, 995, 964, 263, 1959, 848, 1134, 15945, 29908, 13, 1678, 565, 848, 29918, 1853, 1275, 525, 3970, 7466, 1307, 2396, 13, 4706, 736, 5785, 29898, 1767, 29897, 13, 1678, 25342, 848, 29918, 1853, 1275, 525, 20785, 2396, 13, 4706, 736, 851, 29898, 1767, 29897, 13, 1678, 25342, 848, 29918, 1853, 1275, 525, 10192, 2396, 13, 4706, 736, 938, 29898, 1767, 29897, 13, 13, 13, 1753, 4320, 29918, 798, 29898, 1272, 29918, 8768, 29896, 29892, 848, 29918, 798, 1125, 13, 1678, 736, 518, 13, 4706, 4320, 29898, 1272, 29918, 1853, 29892, 995, 29897, 13, 4706, 363, 848, 29918, 1853, 29892, 995, 297, 14319, 29898, 1272, 29918, 8768, 29896, 29892, 848, 29918, 798, 29897, 13, 1678, 4514, 13, 13, 13, 29937, 18647, 353, 5159, 13, 13, 29937, 411, 1722, 877, 29883, 1503, 29889, 7638, 1495, 408, 934, 29901, 13, 29937, 268, 1948, 29918, 2248, 353, 29871, 29900, 13, 29937, 268, 363, 1196, 297, 934, 29901, 13, 29937, 308, 565, 1948, 29918, 2248, 1275, 29871, 29900, 29901, 13, 29937, 632, 396, 19345, 1948, 13, 29937, 632, 9066, 353, 1196, 29889, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 29937, 632, 1704, 353, 4257, 23583, 877, 8179, 742, 9066, 29897, 13, 29937, 308, 25342, 1948, 29918, 2248, 1275, 29871, 29896, 29901, 13, 29937, 632, 848, 29918, 8768, 353, 1196, 29889, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 29937, 632, 396, 1596, 877, 8768, 742, 848, 29918, 8768, 29897, 13, 29937, 308, 1683, 29901, 13, 29937, 632, 396, 848, 1948, 13, 29937, 632, 848, 353, 1196, 29889, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 29937, 632, 848, 353, 4320, 29918, 798, 29898, 1272, 29918, 8768, 29892, 848, 29897, 13, 29937, 632, 1559, 353, 1704, 10456, 1272, 29897, 13, 29937, 632, 18647, 29889, 4397, 29898, 4287, 29897, 13, 29937, 632, 396, 1596, 29898, 1272, 29897, 13, 29937, 308, 1948, 29918, 2248, 4619, 29871, 29896, 13, 13, 29937, 411, 1722, 877, 29883, 1503, 29889, 7638, 1495, 408, 934, 29901, 13, 29937, 268, 934, 29918, 1524, 353, 4256, 29898, 1445, 29897, 13, 29937, 268, 9066, 353, 2446, 29898, 1445, 29918, 1524, 467, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 29937, 268, 1704, 353, 4257, 23583, 877, 8179, 742, 9066, 29897, 13, 29937, 268, 848, 29918, 8768, 353, 2446, 29898, 1445, 29918, 1524, 467, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 29937, 268, 363, 1196, 297, 934, 29918, 1524, 29901, 13, 29937, 308, 848, 353, 1196, 29889, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 29937, 308, 848, 353, 4320, 29918, 798, 29898, 1272, 29918, 8768, 29892, 848, 29897, 13, 29937, 308, 1559, 353, 1704, 10456, 1272, 29897, 13, 29937, 308, 18647, 29889, 4397, 29898, 4287, 29897, 13, 13, 2541, 1722, 877, 29883, 1503, 29889, 7638, 1495, 408, 934, 29901, 13, 1678, 934, 29918, 1524, 353, 4256, 29898, 1445, 29897, 13, 1678, 9066, 353, 2446, 29898, 1445, 29918, 1524, 467, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 1678, 1704, 353, 4257, 23583, 877, 8179, 742, 9066, 29897, 13, 1678, 848, 29918, 8768, 353, 2446, 29898, 1445, 29918, 1524, 467, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 1678, 18647, 353, 518, 8179, 10456, 4384, 29918, 798, 29898, 13, 18884, 848, 29918, 8768, 29892, 13, 18884, 1196, 29889, 17010, 28909, 29876, 2824, 5451, 877, 29936, 1495, 13, 462, 876, 13, 9651, 363, 1196, 297, 934, 29918, 1524, 29962, 13, 13, 2158, 29898, 29883, 1503, 29897, 13, 2 ]

pymovingintelligence_ha/__init__.py

cyberjunky/python-movingintelligence-ha

0

42791

"""Home Assistant Python 3 API wrapper for Moving Intelligence.""" import datetime import logging from .utils import Utils _LOGGER = logging.getLogger("pymovingintelligence_ha") class MovingIntelligence: """Class for communicating with the Moving Intelligence API.""" def __init__( self, username: str = None, apikey: str = None, ): """Init module.""" self.utils = Utils(username, apikey) async def get_devices(self) -> dict: """Get devices.""" result = [] objects = await self.utils.request( "GET", endpoint="/v1/objects", ) for item in objects: device = Device(self.utils, item["licence"]) await device.update_from_json(item) if device.odometer: result.append(device) return result class Device: """Entity used to store device information.""" def __init__(self, utilities, license_plate): """Initialize a device, also a vehicle.""" self._utilities = utilities self.identifier = None self.make = None self.model = None self.license_plate = license_plate self.chassis_number = None self.in_use_date = None self.year = None self.remarks = None self.latitude = 0 self.longitude = 0 self.odometer = None self.speed = None self.start_trip_time = None self.start_trip_street = None self.start_trip_city = None self.start_trip_country = None self.trip_distance = None self.end_trip_street = None self.end_trip_city = None self.end_trip_country = None self.end_trip_time = None self.trip_distance = None self.start_trip_address = None self.end_trip_address = None self.last_seen = None self.location_alias = None @property def data(self): """Return all data of the vehicle.""" return { "id": self.identifier, "make": self.make, "model": self.model, "license_plate": self.license_plate, "chassis_number": self.chassis_number, "in_use_date": self.in_use_date, "year": self.year, "remarks": self.remarks, "latitude": self.latitude, "longitude": self.longitude, "odometer": self.odometer, "speed": self.speed, "start_trip_time": self.start_trip_time, "start_trip_address": self.start_trip_address, "end_trip_time": self.end_trip_time, "end_trip_address": self.end_trip_address, "trip_distance": self.trip_distance, "last_seen": self.end_trip_time, "location_alias": self.location_alias, } async def update_from_json(self, data): """Set all attributes based on API response.""" self.identifier = self.getvalue(data, "id") self.license_plate = self.getvalue(data, "licence") self.make = self.getvalue(data, "brand") self.model = self.getvalue(data, "model") self.chassis_number = self.getvalue(data, "chassisNumber") self.in_use_date = self.converttime(self.getvalue(data, "startDate")) self.year = self.getvalue(data, "yearOfManufacture") self.remarks = self.getvalue(data, "remarks") self.odometer = await self.get_odometer(self.identifier) trip = await self.get_object_detailed_trips( self.identifier, "CURRENT_MONTH", "UNKNOWN" ) if trip: location = trip[-1]["locationAndSpeed"] if len(location) > 0 and location[-1].get("lat") is not None: self.latitude = float(location[-1]["lat"] / 1000000) self.longitude = float(location[-1]["lon"] / 1000000) self.speed = location[-1]["speed"] self.start_trip_time = self.converttime( self.getvalue(trip[-1], "startDate") ) self.start_trip_street = self.getvalue(trip[-1], "startRoad") self.start_trip_city = self.getvalue(trip[-1], "startCity") self.start_trip_city = self.start_trip_city.replace("|m:", " ") self.start_trip_country = self.getvalue(trip[-1], "startCountry") self.end_trip_street = self.getvalue(trip[-1], "endRoad") self.end_trip_city = self.getvalue(trip[-1], "endCity") self.end_trip_city = self.end_trip_city.replace("|m:", " ") self.end_trip_country = self.getvalue(trip[-1], "endCountry") self.end_trip_time = self.converttime(self.getvalue(trip[-1], "endDate")) self.trip_distance = self.getvalue(trip[-1], "distance") / 1000 self.location_alias = self.getvalue(trip[-1], "endAlias") self.start_trip_address = f"{self.start_trip_street}, {self.start_trip_city}, {self.start_trip_country}" self.end_trip_address = ( f"{self.end_trip_street}, {self.end_trip_city}, {self.end_trip_country}" ) @staticmethod def getvalue(data, value): """Safely get values.""" if value in data: return data[value] return None @staticmethod def converttime(stamp): """Convert datestamp.""" if not stamp: return stamp when = datetime.datetime.fromtimestamp(stamp) return when.strftime("%Y-%m-%d %H:%M:%S") async def get_odometer(self, object_id: str) -> dict: """Get odometer readings.""" odometer = None data = await self._utilities.request( "GET", endpoint=f"/v1/object/{object_id}/odometer" ) if data: odometer = int(self.getvalue(data, "odoInMeters") / 1000) return odometer async def get_object_detailed_trips( self, object_id: str, period: str, classifications ) -> dict: """Get detailed trips for object.""" return await self._utilities.request( "GET", endpoint=f"/v1/object/{object_id}/detailedtrips", params=self._utilities.clean_request_params( { "period": period, "classifications": classifications, } ), )

[ 1, 9995, 11184, 4007, 22137, 5132, 29871, 29941, 3450, 14476, 363, 14104, 292, 3159, 28286, 1213, 15945, 13, 5215, 12865, 13, 5215, 12183, 13, 13, 3166, 869, 13239, 1053, 22310, 29879, 13, 13, 29918, 14480, 17070, 353, 12183, 29889, 657, 16363, 703, 29886, 962, 21081, 524, 28286, 29918, 2350, 1159, 13, 13, 13, 1990, 14104, 292, 2928, 28286, 29901, 13, 1678, 9995, 2385, 363, 7212, 1218, 411, 278, 14104, 292, 3159, 28286, 3450, 1213, 15945, 13, 13, 1678, 822, 4770, 2344, 12035, 13, 4706, 1583, 29892, 13, 4706, 8952, 29901, 851, 353, 6213, 29892, 13, 4706, 7882, 1989, 29901, 851, 353, 6213, 29892, 13, 268, 1125, 13, 4706, 9995, 6644, 3883, 1213, 15945, 13, 13, 4706, 1583, 29889, 13239, 353, 22310, 29879, 29898, 6786, 29892, 7882, 1989, 29897, 13, 13, 1678, 7465, 822, 679, 29918, 3359, 1575, 29898, 1311, 29897, 1599, 9657, 29901, 13, 4706, 9995, 2577, 9224, 1213, 15945, 13, 4706, 1121, 353, 5159, 13, 13, 4706, 3618, 353, 7272, 1583, 29889, 13239, 29889, 3827, 29898, 13, 9651, 376, 7194, 613, 13, 9651, 16248, 13802, 29894, 29896, 29914, 12650, 613, 13, 4706, 1723, 13, 13, 4706, 363, 2944, 297, 3618, 29901, 13, 9651, 4742, 353, 21830, 29898, 1311, 29889, 13239, 29892, 2944, 3366, 506, 663, 20068, 13, 9651, 7272, 4742, 29889, 5504, 29918, 3166, 29918, 3126, 29898, 667, 29897, 13, 9651, 565, 4742, 29889, 397, 8328, 29901, 13, 18884, 1121, 29889, 4397, 29898, 10141, 29897, 13, 13, 4706, 736, 1121, 13, 13, 13, 1990, 21830, 29901, 13, 1678, 9995, 6691, 1304, 304, 3787, 4742, 2472, 1213, 15945, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3667, 1907, 29892, 19405, 29918, 2341, 1125, 13, 4706, 9995, 6644, 6646, 263, 4742, 29892, 884, 263, 19716, 1213, 15945, 13, 4706, 1583, 3032, 4422, 1907, 353, 3667, 1907, 13, 13, 4706, 1583, 29889, 25378, 353, 6213, 13, 4706, 1583, 29889, 5675, 353, 6213, 13, 4706, 1583, 29889, 4299, 353, 6213, 13, 4706, 1583, 29889, 506, 1947, 29918, 2341, 353, 19405, 29918, 2341, 13, 4706, 1583, 29889, 305, 465, 275, 29918, 4537, 353, 6213, 13, 4706, 1583, 29889, 262, 29918, 1509, 29918, 1256, 353, 6213, 13, 4706, 1583, 29889, 6360, 353, 6213, 13, 4706, 1583, 29889, 1745, 17862, 353, 6213, 13, 4706, 1583, 29889, 5066, 4279, 353, 29871, 29900, 13, 4706, 1583, 29889, 5426, 4279, 353, 29871, 29900, 13, 4706, 1583, 29889, 397, 8328, 353, 6213, 13, 4706, 1583, 29889, 19322, 353, 6213, 13, 4706, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 2230, 353, 6213, 13, 4706, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 29352, 353, 6213, 13, 4706, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 12690, 353, 6213, 13, 4706, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 13509, 353, 6213, 13, 4706, 1583, 29889, 3626, 29886, 29918, 19244, 353, 6213, 13, 4706, 1583, 29889, 355, 29918, 3626, 29886, 29918, 29352, 353, 6213, 13, 4706, 1583, 29889, 355, 29918, 3626, 29886, 29918, 12690, 353, 6213, 13, 4706, 1583, 29889, 355, 29918, 3626, 29886, 29918, 13509, 353, 6213, 13, 4706, 1583, 29889, 355, 29918, 3626, 29886, 29918, 2230, 353, 6213, 13, 4706, 1583, 29889, 3626, 29886, 29918, 19244, 353, 6213, 13, 4706, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 7328, 353, 6213, 13, 4706, 1583, 29889, 355, 29918, 3626, 29886, 29918, 7328, 353, 6213, 13, 4706, 1583, 29889, 4230, 29918, 28026, 353, 6213, 13, 4706, 1583, 29889, 5479, 29918, 19973, 353, 6213, 13, 13, 1678, 732, 6799, 13, 1678, 822, 848, 29898, 1311, 1125, 13, 4706, 9995, 11609, 599, 848, 310, 278, 19716, 1213, 15945, 13, 13, 4706, 736, 426, 13, 9651, 376, 333, 1115, 1583, 29889, 25378, 29892, 13, 9651, 376, 5675, 1115, 1583, 29889, 5675, 29892, 13, 9651, 376, 4299, 1115, 1583, 29889, 4299, 29892, 13, 9651, 376, 506, 1947, 29918, 2341, 1115, 1583, 29889, 506, 1947, 29918, 2341, 29892, 13, 9651, 376, 305, 465, 275, 29918, 4537, 1115, 1583, 29889, 305, 465, 275, 29918, 4537, 29892, 13, 9651, 376, 262, 29918, 1509, 29918, 1256, 1115, 1583, 29889, 262, 29918, 1509, 29918, 1256, 29892, 13, 9651, 376, 6360, 1115, 1583, 29889, 6360, 29892, 13, 9651, 376, 1745, 17862, 1115, 1583, 29889, 1745, 17862, 29892, 13, 9651, 376, 5066, 4279, 1115, 1583, 29889, 5066, 4279, 29892, 13, 9651, 376, 5426, 4279, 1115, 1583, 29889, 5426, 4279, 29892, 13, 9651, 376, 397, 8328, 1115, 1583, 29889, 397, 8328, 29892, 13, 9651, 376, 19322, 1115, 1583, 29889, 19322, 29892, 13, 9651, 376, 2962, 29918, 3626, 29886, 29918, 2230, 1115, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 2230, 29892, 13, 9651, 376, 2962, 29918, 3626, 29886, 29918, 7328, 1115, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 7328, 29892, 13, 9651, 376, 355, 29918, 3626, 29886, 29918, 2230, 1115, 1583, 29889, 355, 29918, 3626, 29886, 29918, 2230, 29892, 13, 9651, 376, 355, 29918, 3626, 29886, 29918, 7328, 1115, 1583, 29889, 355, 29918, 3626, 29886, 29918, 7328, 29892, 13, 9651, 376, 3626, 29886, 29918, 19244, 1115, 1583, 29889, 3626, 29886, 29918, 19244, 29892, 13, 9651, 376, 4230, 29918, 28026, 1115, 1583, 29889, 355, 29918, 3626, 29886, 29918, 2230, 29892, 13, 9651, 376, 5479, 29918, 19973, 1115, 1583, 29889, 5479, 29918, 19973, 29892, 13, 4706, 500, 13, 13, 1678, 7465, 822, 2767, 29918, 3166, 29918, 3126, 29898, 1311, 29892, 848, 1125, 13, 4706, 9995, 2697, 599, 8393, 2729, 373, 3450, 2933, 1213, 15945, 13, 13, 4706, 1583, 29889, 25378, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 333, 1159, 13, 4706, 1583, 29889, 506, 1947, 29918, 2341, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 506, 663, 1159, 13, 4706, 1583, 29889, 5675, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 16472, 1159, 13, 4706, 1583, 29889, 4299, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 4299, 1159, 13, 4706, 1583, 29889, 305, 465, 275, 29918, 4537, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 305, 465, 275, 4557, 1159, 13, 4706, 1583, 29889, 262, 29918, 1509, 29918, 1256, 353, 1583, 29889, 535, 369, 698, 603, 29898, 1311, 29889, 657, 1767, 29898, 1272, 29892, 376, 2962, 2539, 5783, 13, 4706, 1583, 29889, 6360, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 6360, 2776, 2517, 9765, 545, 1159, 13, 4706, 1583, 29889, 1745, 17862, 353, 1583, 29889, 657, 1767, 29898, 1272, 29892, 376, 1745, 17862, 1159, 13, 4706, 1583, 29889, 397, 8328, 353, 7272, 1583, 29889, 657, 29918, 397, 8328, 29898, 1311, 29889, 25378, 29897, 13, 13, 4706, 17487, 353, 7272, 1583, 29889, 657, 29918, 3318, 29918, 29881, 11881, 29918, 3626, 567, 29898, 13, 9651, 1583, 29889, 25378, 29892, 376, 22484, 29450, 29918, 22877, 4690, 613, 376, 3904, 29968, 6632, 16048, 29908, 13, 4706, 1723, 13, 13, 4706, 565, 17487, 29901, 13, 9651, 4423, 353, 17487, 14352, 29896, 29962, 3366, 5479, 2855, 26539, 3108, 13, 9651, 565, 7431, 29898, 5479, 29897, 1405, 29871, 29900, 322, 4423, 14352, 29896, 1822, 657, 703, 5066, 1159, 338, 451, 6213, 29901, 13, 18884, 1583, 29889, 5066, 4279, 353, 5785, 29898, 5479, 14352, 29896, 29962, 3366, 5066, 3108, 847, 29871, 29896, 29900, 29900, 29900, 29900, 29900, 29900, 29897, 13, 18884, 1583, 29889, 5426, 4279, 353, 5785, 29898, 5479, 14352, 29896, 29962, 3366, 12957, 3108, 847, 29871, 29896, 29900, 29900, 29900, 29900, 29900, 29900, 29897, 13, 18884, 1583, 29889, 19322, 353, 4423, 14352, 29896, 29962, 3366, 19322, 3108, 13, 13, 9651, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 2230, 353, 1583, 29889, 535, 369, 698, 603, 29898, 13, 18884, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 2962, 2539, 1159, 13, 9651, 1723, 13, 9651, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 29352, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 2962, 9588, 328, 1159, 13, 9651, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 12690, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 2962, 16885, 1159, 13, 9651, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 12690, 353, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 12690, 29889, 6506, 703, 29989, 29885, 29901, 613, 376, 16521, 13, 9651, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 13509, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 2962, 20779, 1159, 13, 13, 9651, 1583, 29889, 355, 29918, 3626, 29886, 29918, 29352, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 355, 9588, 328, 1159, 13, 9651, 1583, 29889, 355, 29918, 3626, 29886, 29918, 12690, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 355, 16885, 1159, 13, 9651, 1583, 29889, 355, 29918, 3626, 29886, 29918, 12690, 353, 1583, 29889, 355, 29918, 3626, 29886, 29918, 12690, 29889, 6506, 703, 29989, 29885, 29901, 613, 376, 16521, 13, 9651, 1583, 29889, 355, 29918, 3626, 29886, 29918, 13509, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 355, 20779, 1159, 13, 9651, 1583, 29889, 355, 29918, 3626, 29886, 29918, 2230, 353, 1583, 29889, 535, 369, 698, 603, 29898, 1311, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 355, 2539, 5783, 13, 13, 9651, 1583, 29889, 3626, 29886, 29918, 19244, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 19244, 1159, 847, 29871, 29896, 29900, 29900, 29900, 13, 9651, 1583, 29889, 5479, 29918, 19973, 353, 1583, 29889, 657, 1767, 29898, 3626, 29886, 14352, 29896, 1402, 376, 355, 29909, 18849, 1159, 13, 13, 9651, 1583, 29889, 2962, 29918, 3626, 29886, 29918, 7328, 353, 285, 29908, 29912, 1311, 29889, 2962, 29918, 3626, 29886, 29918, 29352, 1118, 426, 1311, 29889, 2962, 29918, 3626, 29886, 29918, 12690, 1118, 426, 1311, 29889, 2962, 29918, 3626, 29886, 29918, 13509, 5038, 13, 9651, 1583, 29889, 355, 29918, 3626, 29886, 29918, 7328, 353, 313, 13, 18884, 285, 29908, 29912, 1311, 29889, 355, 29918, 3626, 29886, 29918, 29352, 1118, 426, 1311, 29889, 355, 29918, 3626, 29886, 29918, 12690, 1118, 426, 1311, 29889, 355, 29918, 3626, 29886, 29918, 13509, 5038, 13, 9651, 1723, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 679, 1767, 29898, 1272, 29892, 995, 1125, 13, 4706, 9995, 29903, 2142, 873, 679, 1819, 1213, 15945, 13, 4706, 565, 995, 297, 848, 29901, 13, 9651, 736, 848, 29961, 1767, 29962, 13, 4706, 736, 6213, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 5486, 698, 603, 29898, 303, 1160, 1125, 13, 4706, 9995, 18455, 1418, 7416, 1213, 15945, 13, 4706, 565, 451, 25214, 29901, 13, 9651, 736, 25214, 13, 13, 4706, 746, 353, 12865, 29889, 12673, 29889, 3166, 16394, 29898, 303, 1160, 29897, 13, 4706, 736, 746, 29889, 710, 615, 603, 11702, 29979, 19222, 29885, 19222, 29881, 1273, 29950, 16664, 29924, 16664, 29903, 1159, 13, 13, 1678, 7465, 822, 679, 29918, 397, 8328, 29898, 1311, 29892, 1203, 29918, 333, 29901, 851, 29897, 1599, 9657, 29901, 13, 4706, 9995, 2577, 2413, 8328, 1303, 886, 1213, 15945, 13, 13, 4706, 2413, 8328, 353, 6213, 13, 4706, 848, 353, 7272, 1583, 3032, 4422, 1907, 29889, 3827, 29898, 13, 9651, 376, 7194, 613, 16248, 29922, 29888, 23901, 29894, 29896, 29914, 3318, 19248, 3318, 29918, 333, 6822, 397, 8328, 29908, 13, 4706, 1723, 13, 13, 4706, 565, 848, 29901, 13, 9651, 2413, 8328, 353, 938, 29898, 1311, 29889, 657, 1767, 29898, 1272, 29892, 376, 8144, 797, 29924, 2699, 1159, 847, 29871, 29896, 29900, 29900, 29900, 29897, 13, 13, 4706, 736, 2413, 8328, 13, 13, 1678, 7465, 822, 679, 29918, 3318, 29918, 29881, 11881, 29918, 3626, 567, 29898, 13, 4706, 1583, 29892, 1203, 29918, 333, 29901, 851, 29892, 3785, 29901, 851, 29892, 770, 8232, 13, 1678, 1723, 1599, 9657, 29901, 13, 4706, 9995, 2577, 13173, 3367, 567, 363, 1203, 1213, 15945, 13, 13, 4706, 736, 7272, 1583, 3032, 4422, 1907, 29889, 3827, 29898, 13, 9651, 376, 7194, 613, 13, 9651, 16248, 29922, 29888, 23901, 29894, 29896, 29914, 3318, 19248, 3318, 29918, 333, 6822, 29881, 11881, 3626, 567, 613, 13, 9651, 8636, 29922, 1311, 3032, 4422, 1907, 29889, 14941, 29918, 3827, 29918, 7529, 29898, 13, 18884, 426, 13, 462, 1678, 376, 19145, 1115, 3785, 29892, 13, 462, 1678, 376, 1990, 8232, 1115, 770, 8232, 29892, 13, 18884, 500, 13, 9651, 10353, 13, 4706, 1723, 13, 2 ]

kitsune/flagit/migrations/0002_auto_20200629_0826.py

AndrewDVXI/kitsune

929

157100

# Generated by Django 2.2.13 on 2020-06-29 08:26 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('flagit', '0001_initial'), ] operations = [ migrations.AlterField( model_name='flaggedobject', name='notes', field=models.TextField(blank=True, default=''), ), migrations.AlterField( model_name='flaggedobject', name='reason', field=models.CharField(choices=[('spam', 'Spam or other unrelated content'), ('language', 'Inappropriate language/dialog'), ('bug_support', 'Misplaced bug report or support request'), ('abuse', 'Abusive content'), ('other', 'Other (please specify)')], max_length=64), ), ]

[ 1, 396, 3251, 630, 491, 15337, 29871, 29906, 29889, 29906, 29889, 29896, 29941, 373, 29871, 29906, 29900, 29906, 29900, 29899, 29900, 29953, 29899, 29906, 29929, 29871, 29900, 29947, 29901, 29906, 29953, 13, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 29892, 4733, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 15581, 277, 742, 525, 29900, 29900, 29900, 29896, 29918, 11228, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 15581, 3192, 3318, 742, 13, 9651, 1024, 2433, 16953, 742, 13, 9651, 1746, 29922, 9794, 29889, 15778, 29898, 19465, 29922, 5574, 29892, 2322, 2433, 5477, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 15581, 3192, 3318, 742, 13, 9651, 1024, 2433, 23147, 742, 13, 9651, 1746, 29922, 9794, 29889, 27890, 29898, 1859, 1575, 11759, 877, 1028, 314, 742, 525, 5592, 314, 470, 916, 443, 12817, 2793, 5477, 6702, 11675, 742, 525, 797, 932, 6649, 403, 4086, 29914, 15901, 5477, 6702, 6152, 29918, 5924, 742, 525, 29924, 11936, 433, 1133, 6494, 3461, 470, 2304, 2009, 5477, 6702, 370, 1509, 742, 525, 4920, 375, 573, 2793, 5477, 6702, 1228, 742, 525, 16107, 313, 552, 559, 6084, 29897, 1495, 1402, 4236, 29918, 2848, 29922, 29953, 29946, 511, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]

lap_tracker/__init__.py

glyg/lap_tracker

6

43550

# -*- coding: utf-8 -*- from __future__ import unicode_literals from __future__ import division from __future__ import absolute_import from __future__ import print_function __version__ = "0.1" from .lap_tracking import LAPTracker from .tester import * import os import logging from .utils.color_system import color def in_ipython(): try: __IPYTHON__ except NameError: return False else: return True if in_ipython(): logformat = '%(asctime)s' + ':' logformat += '%(levelname)s' + ':' logformat += '%(name)s' + ':' # logformat += '%(funcName)s' + ': ' logformat += ' %(message)s' else: logformat = color('%(asctime)s', 'BLUE') + ':' logformat += color('%(levelname)s', 'RED') + ':' logformat += color('%(name)s', 'YELLOW') + ':' # logformat += color('%(funcName)s', 'GREEN') + ': ' logformat += color(' %(message)s', 'ENDC') thisdir = os.path.abspath(os.path.dirname(__file__)) pkgdir = os.path.dirname(thisdir) samplesdir = os.path.join(pkgdir, 'samples') logger = logging.getLogger(__name__) handler = logging.StreamHandler() formatter = logging.Formatter(logformat, "%Y-%m-%d %H:%M:%S") handler.setFormatter(formatter) logger.addHandler(handler) logger.setLevel(logging.DEBUG) logger.propagate = False import warnings warnings.filterwarnings("ignore") try: import matplotlib matplotlib.rcParams['backend'] = "Agg" except ImportError: logger.warning( 'Matplotlib has not been detected. Some functions may not work.')

[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8542, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 3166, 4770, 29888, 9130, 1649, 1053, 1596, 29918, 2220, 13, 13, 1649, 3259, 1649, 353, 376, 29900, 29889, 29896, 29908, 13, 13, 3166, 869, 6984, 29918, 11294, 292, 1053, 365, 3301, 5323, 4937, 13, 3166, 869, 1688, 261, 1053, 334, 13, 13, 5215, 2897, 13, 5215, 12183, 13, 13, 3166, 869, 13239, 29889, 2780, 29918, 5205, 1053, 2927, 13, 13, 13, 1753, 297, 29918, 666, 1656, 7295, 13, 1678, 1018, 29901, 13, 4706, 4770, 5690, 29979, 4690, 1164, 1649, 13, 1678, 5174, 4408, 2392, 29901, 13, 4706, 736, 7700, 13, 1678, 1683, 29901, 13, 4706, 736, 5852, 13, 13, 361, 297, 29918, 666, 1656, 7295, 13, 1678, 1480, 4830, 353, 14210, 29898, 294, 312, 603, 29897, 29879, 29915, 718, 525, 11283, 13, 1678, 1480, 4830, 4619, 14210, 29898, 5563, 978, 29897, 29879, 29915, 718, 525, 11283, 13, 1678, 1480, 4830, 4619, 14210, 29898, 978, 29897, 29879, 29915, 718, 525, 11283, 13, 1678, 396, 1480, 4830, 4619, 14210, 29898, 9891, 1170, 29897, 29879, 29915, 718, 525, 29901, 525, 13, 1678, 1480, 4830, 4619, 525, 1273, 29898, 4906, 29897, 29879, 29915, 13, 2870, 29901, 13, 1678, 1480, 4830, 353, 2927, 877, 29995, 29898, 294, 312, 603, 29897, 29879, 742, 525, 13367, 4462, 1495, 718, 525, 11283, 13, 1678, 1480, 4830, 4619, 2927, 877, 29995, 29898, 5563, 978, 29897, 29879, 742, 525, 19386, 1495, 718, 525, 11283, 13, 1678, 1480, 4830, 4619, 2927, 877, 29995, 29898, 978, 29897, 29879, 742, 525, 29979, 29923, 2208, 9806, 1495, 718, 525, 11283, 13, 1678, 396, 1480, 4830, 4619, 2927, 877, 29995, 29898, 9891, 1170, 29897, 29879, 742, 525, 29954, 1525, 1430, 1495, 718, 525, 29901, 525, 13, 1678, 1480, 4830, 4619, 2927, 877, 1273, 29898, 4906, 29897, 29879, 742, 525, 11794, 29907, 1495, 13, 13, 1366, 3972, 353, 2897, 29889, 2084, 29889, 370, 1028, 493, 29898, 359, 29889, 2084, 29889, 25721, 22168, 1445, 1649, 876, 13, 15865, 3972, 353, 2897, 29889, 2084, 29889, 25721, 29898, 1366, 3972, 29897, 13, 27736, 3972, 353, 2897, 29889, 2084, 29889, 7122, 29898, 15865, 3972, 29892, 525, 27736, 1495, 13, 13, 21707, 353, 12183, 29889, 657, 16363, 22168, 978, 1649, 29897, 13, 13789, 353, 12183, 29889, 3835, 4598, 580, 13, 689, 2620, 353, 12183, 29889, 18522, 29898, 1188, 4830, 29892, 11860, 29979, 19222, 29885, 19222, 29881, 1273, 29950, 16664, 29924, 16664, 29903, 1159, 13, 13789, 29889, 842, 18522, 29898, 689, 2620, 29897, 13, 21707, 29889, 1202, 4598, 29898, 13789, 29897, 13, 21707, 29889, 842, 10108, 29898, 21027, 29889, 18525, 29897, 13, 21707, 29889, 7728, 351, 403, 353, 7700, 13, 13, 5215, 18116, 13, 25442, 886, 29889, 4572, 25442, 886, 703, 17281, 1159, 13, 2202, 29901, 13, 1678, 1053, 22889, 13, 1678, 22889, 29889, 2214, 9629, 1839, 27852, 2033, 353, 376, 29909, 1505, 29908, 13, 19499, 16032, 2392, 29901, 13, 1678, 17927, 29889, 27392, 29898, 13, 4706, 525, 9782, 17357, 756, 451, 1063, 17809, 29889, 3834, 3168, 1122, 451, 664, 29889, 1495, 13, 13, 2 ]

models/language_translation/tensorflow/transformer_mlperf/inference/fp32/transformer/export_transformer.py

ashahba/models

357

177087

#! /usr/bin/env python from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import argparse import sys import tensorflow as tf from model import model_params from model import transformer tf.compat.v1.disable_v2_behavior() _EXTRA_DECODE_LENGTH = 100 _BEAM_SIZE = 4 _ALPHA = 0.6 def main(unused_argv): tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.INFO) if FLAGS.params == "base": params = model_params.TransformerBaseParams elif FLAGS.params == "big": params = model_params.TransformerBigParams else: raise ValueError("Invalid parameter set defined: %s." "Expected 'base' or 'big.'" % FLAGS.params) # Set up estimator and params params.beam_size = _BEAM_SIZE params.alpha = _ALPHA params.extra_decode_length = _EXTRA_DECODE_LENGTH params.frozen_graph = None input_shape = [None, None] input_tokens = tf.compat.v1.placeholder(tf.int64, input_shape, name='input_tokens') with tf.compat.v1.variable_scope("model"): model = transformer.Transformer(params, False) output = model(input_tokens) # Restore variables from checkpoint sess = tf.compat.v1.Session() latest_model = tf.train.latest_checkpoint(FLAGS.model_dir) saver = tf.compat.v1.train.Saver() saver.restore(sess, latest_model) # Freeze the graph graph_def = sess.graph.as_graph_def() output_names = ['model/Transformer/strided_slice_15', 'model/Transformer/strided_slice_16'] graph_def = tf.compat.v1.graph_util.convert_variables_to_constants(sess, graph_def, output_names) print("pb_path is", FLAGS.pb_path) with tf.compat.v1.gfile.GFile(FLAGS.pb_path, 'wb') as pb_file: pb_file.write(graph_def.SerializeToString()) if __name__ == "__main__": parser = argparse.ArgumentParser() # Model arguments parser.add_argument( "--model_dir", "-md", type=str, required=True, help="Directory containing Transformer model checkpoints.", metavar="<MD>") parser.add_argument( "--pb_path", "-pp", type=str, required=True, help="The output pb file path", metavar="<PP>") parser.add_argument( "--params", "-p", type=str, default="big", choices=["base", "big"], help="[default: %(default)s] Parameter used for trained model.", metavar="<P>") FLAGS, unparsed = parser.parse_known_args() main(sys.argv)

[ 1, 396, 29991, 847, 4855, 29914, 2109, 29914, 6272, 3017, 13, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8542, 13, 3166, 4770, 29888, 9130, 1649, 1053, 1596, 29918, 2220, 13, 13, 5215, 2897, 13, 5215, 1852, 5510, 13, 5215, 10876, 13, 13, 5215, 26110, 408, 15886, 13, 3166, 1904, 1053, 1904, 29918, 7529, 13, 3166, 1904, 1053, 4327, 261, 13, 13, 13264, 29889, 12667, 29889, 29894, 29896, 29889, 20472, 29918, 29894, 29906, 29918, 915, 16300, 580, 13, 13, 29918, 12194, 4717, 29918, 2287, 16524, 29918, 19433, 353, 29871, 29896, 29900, 29900, 13, 29918, 15349, 5194, 29918, 14226, 353, 29871, 29946, 13, 29918, 1964, 29925, 15715, 353, 29871, 29900, 29889, 29953, 13, 13, 1753, 1667, 29898, 348, 3880, 29918, 19218, 1125, 13, 29871, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 21027, 29889, 842, 29918, 18248, 359, 537, 29898, 13264, 29889, 12667, 29889, 29894, 29896, 29889, 21027, 29889, 11690, 29897, 13, 13, 29871, 565, 383, 4375, 10749, 29889, 7529, 1275, 376, 3188, 1115, 13, 1678, 8636, 353, 1904, 29918, 7529, 29889, 13372, 261, 5160, 9629, 13, 29871, 25342, 383, 4375, 10749, 29889, 7529, 1275, 376, 3752, 1115, 13, 1678, 8636, 353, 1904, 29918, 7529, 29889, 13372, 261, 6970, 9629, 13, 29871, 1683, 29901, 13, 1678, 12020, 7865, 2392, 703, 13919, 3443, 731, 3342, 29901, 1273, 29879, 1213, 13, 462, 268, 376, 1252, 6021, 525, 3188, 29915, 470, 525, 3752, 6169, 29908, 1273, 383, 4375, 10749, 29889, 7529, 29897, 13, 29871, 396, 3789, 701, 4844, 1061, 322, 8636, 13, 29871, 8636, 29889, 915, 314, 29918, 2311, 353, 903, 15349, 5194, 29918, 14226, 13, 29871, 8636, 29889, 2312, 353, 903, 1964, 29925, 15715, 13, 29871, 8636, 29889, 17833, 29918, 13808, 29918, 2848, 353, 903, 12194, 4717, 29918, 2287, 16524, 29918, 19433, 13, 29871, 8636, 29889, 29888, 307, 2256, 29918, 4262, 353, 6213, 13, 29871, 1881, 29918, 12181, 353, 518, 8516, 29892, 6213, 29962, 13, 29871, 1881, 29918, 517, 12360, 353, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 27074, 29898, 13264, 29889, 524, 29953, 29946, 29892, 1881, 29918, 12181, 29892, 13, 462, 462, 3986, 1024, 2433, 2080, 29918, 517, 12360, 1495, 13, 29871, 411, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 11918, 29918, 6078, 703, 4299, 29908, 1125, 13, 1678, 1904, 353, 4327, 261, 29889, 13372, 261, 29898, 7529, 29892, 7700, 29897, 29871, 13, 1678, 1962, 353, 1904, 29898, 2080, 29918, 517, 12360, 29897, 13, 13, 29871, 396, 11654, 487, 3651, 515, 1423, 3149, 13, 29871, 27937, 353, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 7317, 580, 13, 29871, 9281, 29918, 4299, 353, 15886, 29889, 14968, 29889, 12333, 29918, 3198, 3149, 29898, 18823, 10749, 29889, 4299, 29918, 3972, 29897, 13, 29871, 872, 369, 353, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 14968, 29889, 29903, 12483, 580, 13, 29871, 872, 369, 29889, 5060, 487, 29898, 29879, 404, 29892, 9281, 29918, 4299, 29897, 13, 13, 29871, 396, 12362, 911, 278, 3983, 13, 29871, 3983, 29918, 1753, 353, 27937, 29889, 4262, 29889, 294, 29918, 4262, 29918, 1753, 580, 13, 29871, 1962, 29918, 7039, 353, 6024, 4299, 29914, 13372, 261, 29914, 710, 2618, 29918, 18337, 29918, 29896, 29945, 742, 13, 462, 29871, 525, 4299, 29914, 13372, 261, 29914, 710, 2618, 29918, 18337, 29918, 29896, 29953, 2033, 13, 29871, 3983, 29918, 1753, 353, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 4262, 29918, 4422, 29889, 13441, 29918, 20897, 29918, 517, 29918, 3075, 1934, 29898, 29879, 404, 29892, 13, 4706, 3983, 29918, 1753, 29892, 1962, 29918, 7039, 29897, 13, 29871, 1596, 703, 24381, 29918, 2084, 338, 613, 383, 4375, 10749, 29889, 24381, 29918, 2084, 29897, 13, 29871, 411, 15886, 29889, 12667, 29889, 29894, 29896, 29889, 29887, 1445, 29889, 29954, 2283, 29898, 18823, 10749, 29889, 24381, 29918, 2084, 29892, 525, 29893, 29890, 1495, 408, 282, 29890, 29918, 1445, 29901, 13, 1678, 282, 29890, 29918, 1445, 29889, 3539, 29898, 4262, 29918, 1753, 29889, 1748, 6646, 8246, 3101, 13, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 29871, 13812, 353, 1852, 5510, 29889, 15730, 11726, 580, 13, 13, 29871, 396, 8125, 6273, 13, 29871, 13812, 29889, 1202, 29918, 23516, 29898, 13, 268, 376, 489, 4299, 29918, 3972, 613, 11663, 3487, 613, 1134, 29922, 710, 29892, 3734, 29922, 5574, 29892, 13, 418, 1371, 543, 9882, 6943, 4103, 24784, 1904, 1423, 9748, 19602, 13, 418, 1539, 485, 279, 543, 29966, 5773, 29958, 1159, 13, 29871, 13812, 29889, 1202, 29918, 23516, 29898, 13, 418, 376, 489, 24381, 29918, 2084, 613, 11663, 407, 613, 1134, 29922, 710, 29892, 3734, 29922, 5574, 29892, 13, 418, 1371, 543, 1576, 1962, 282, 29890, 934, 2224, 613, 13, 418, 1539, 485, 279, 543, 29966, 18009, 29958, 1159, 13, 29871, 13812, 29889, 1202, 29918, 23516, 29898, 13, 418, 376, 489, 7529, 613, 11663, 29886, 613, 1134, 29922, 710, 29892, 2322, 543, 3752, 613, 19995, 29922, 3366, 3188, 613, 376, 3752, 12436, 13, 418, 1371, 543, 29961, 4381, 29901, 1273, 29898, 4381, 29897, 29879, 29962, 24953, 1304, 363, 16370, 1904, 19602, 13, 418, 1539, 485, 279, 543, 29966, 29925, 29958, 1159, 13, 13, 29871, 383, 4375, 10749, 29892, 443, 862, 8485, 353, 13812, 29889, 5510, 29918, 5203, 29918, 5085, 580, 13, 29871, 1667, 29898, 9675, 29889, 19218, 29897, 13, 2 ]

blenderlib/bpy.app.py

kabuku/blender-python

23

156327

'''Application Data (bpy.app) This module contains application values that remain unchanged during runtime. ''' debug = None '''Boolean, for debug info (started with --debug / --debug_* matching this attribute name) ''' debug_events = None '''Boolean, for debug info (started with --debug / --debug_* matching this attribute name) ''' debug_ffmpeg = None '''Boolean, for debug info (started with --debug / --debug_* matching this attribute name) ''' debug_handlers = None '''Boolean, for debug info (started with --debug / --debug_* matching this attribute name) ''' debug_python = None '''Boolean, for debug info (started with --debug / --debug_* matching this attribute name) ''' debug_value = None '''Int, number which can be set to non-zero values for testing purposes ''' debug_wm = None '''Boolean, for debug info (started with --debug / --debug_* matching this attribute name) ''' driver_namespace = None '''Dictionary for drivers namespace, editable in-place, reset on file load (read-only) ''' tempdir = None '''String, the temp directory used by blender (read-only) ''' background = None '''Boolean, True when blender is running without a user interface (started with -b) ''' binary_path = None '''The location of blenders executable, useful for utilities that spawn new instances ''' build_cflags = None '''C compiler flags ''' build_cxxflags = None '''C++ compiler flags ''' build_date = None '''The date this blender instance was built ''' build_linkflags = None '''Binary linking flags ''' build_options = None '''A set containing most important enabled optional build features ''' build_platform = None '''The platform this blender instance was built for ''' build_revision = None '''The subversion revision this blender instance was built with ''' build_system = None '''Build system used ''' build_time = None '''The time this blender instance was built ''' build_type = None '''The type of build (Release, Debug) ''' ffmpeg = None '''FFmpeg library information backend ''' handlers = None '''Application handler callbacks ''' translations = None '''Application and addons internationalization API ''' version = None '''The Blender version as a tuple of 3 numbers. eg. (2, 50, 11) ''' version_char = None '''The Blender version character (for minor releases) ''' version_cycle = None '''The release status of this build alpha/beta/rc/release ''' version_string = None '''The Blender version formatted as a string ''' def count(*argv): '''T.count(value) -> integer -- return number of occurrences of value ''' pass def index(*argv): '''T.index(value, [start, [stop]]) -> integer -- return first index of value. Raises ValueError if the value is not present. ''' pass

[ 1, 14550, 4873, 3630, 313, 29890, 2272, 29889, 932, 8443, 13, 259, 910, 3883, 3743, 2280, 1819, 393, 3933, 443, 15033, 2645, 10073, 22993, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 353, 6213, 30004, 13, 12008, 18146, 29892, 363, 4744, 5235, 313, 2962, 287, 411, 1192, 8382, 847, 1192, 8382, 24563, 9686, 445, 5352, 1024, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 29918, 13604, 353, 6213, 30004, 13, 12008, 18146, 29892, 363, 4744, 5235, 313, 2962, 287, 411, 1192, 8382, 847, 1192, 8382, 24563, 9686, 445, 5352, 1024, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 29918, 600, 20856, 353, 6213, 30004, 13, 12008, 18146, 29892, 363, 4744, 5235, 313, 2962, 287, 411, 1192, 8382, 847, 1192, 8382, 24563, 9686, 445, 5352, 1024, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 29918, 3179, 9306, 353, 6213, 30004, 13, 12008, 18146, 29892, 363, 4744, 5235, 313, 2962, 287, 411, 1192, 8382, 847, 1192, 8382, 24563, 9686, 445, 5352, 1024, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 29918, 4691, 353, 6213, 30004, 13, 12008, 18146, 29892, 363, 4744, 5235, 313, 2962, 287, 411, 1192, 8382, 847, 1192, 8382, 24563, 9686, 445, 5352, 1024, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 29918, 1767, 353, 6213, 30004, 13, 12008, 2928, 29892, 1353, 607, 508, 367, 731, 304, 1661, 29899, 9171, 1819, 363, 6724, 11976, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 8382, 29918, 29893, 29885, 353, 6213, 30004, 13, 12008, 18146, 29892, 363, 4744, 5235, 313, 2962, 287, 411, 1192, 8382, 847, 1192, 8382, 24563, 9686, 445, 5352, 1024, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 9465, 29918, 22377, 353, 6213, 30004, 13, 12008, 11513, 363, 18563, 7397, 29892, 3863, 519, 297, 29899, 6689, 29892, 10092, 373, 934, 2254, 313, 949, 29899, 6194, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 7382, 3972, 353, 6213, 30004, 13, 12008, 1231, 29892, 278, 5694, 3884, 1304, 491, 1999, 1581, 313, 949, 29899, 6194, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 7042, 353, 6213, 30004, 13, 12008, 18146, 29892, 5852, 746, 1999, 1581, 338, 2734, 1728, 263, 1404, 5067, 313, 2962, 287, 411, 448, 29890, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 19541, 29918, 2084, 353, 6213, 30004, 13, 12008, 1576, 4423, 310, 1999, 21043, 16813, 29892, 5407, 363, 3667, 1907, 393, 29178, 716, 8871, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 29883, 15764, 353, 6213, 30004, 13, 12008, 29907, 6516, 13449, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 29883, 4419, 15764, 353, 6213, 30004, 13, 12008, 29907, 1817, 6516, 13449, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 1256, 353, 6213, 30004, 13, 12008, 1576, 2635, 445, 1999, 1581, 2777, 471, 4240, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 2324, 15764, 353, 6213, 30004, 13, 12008, 25196, 25236, 13449, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 6768, 353, 6213, 30004, 13, 12008, 29909, 731, 6943, 1556, 4100, 9615, 13136, 2048, 5680, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 12120, 353, 6213, 30004, 13, 12008, 1576, 7481, 445, 1999, 1581, 2777, 471, 4240, 363, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 276, 4924, 353, 6213, 30004, 13, 12008, 1576, 1014, 3259, 26554, 445, 1999, 1581, 2777, 471, 4240, 411, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 5205, 353, 6213, 30004, 13, 12008, 8893, 1788, 1304, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 2230, 353, 6213, 30004, 13, 12008, 1576, 931, 445, 1999, 1581, 2777, 471, 4240, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 4282, 29918, 1853, 353, 6213, 30004, 13, 12008, 1576, 1134, 310, 2048, 313, 19729, 29892, 16171, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 600, 20856, 353, 6213, 30004, 13, 12008, 4198, 20856, 3489, 2472, 14998, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 3179, 9306, 353, 6213, 30004, 13, 12008, 4873, 7834, 6939, 29879, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 3286, 29880, 800, 353, 6213, 30004, 13, 12008, 4873, 322, 788, 787, 6121, 2133, 3450, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 3259, 353, 6213, 30004, 13, 12008, 1576, 3164, 1581, 1873, 408, 263, 18761, 310, 29871, 29941, 3694, 29889, 8087, 29889, 313, 29906, 29892, 29871, 29945, 29900, 29892, 29871, 29896, 29896, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 3259, 29918, 3090, 353, 6213, 30004, 13, 12008, 1576, 3164, 1581, 1873, 2931, 313, 1454, 9461, 27474, 8443, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 3259, 29918, 23090, 353, 6213, 30004, 13, 12008, 1576, 6507, 4660, 310, 445, 2048, 15595, 29914, 3571, 29914, 2214, 29914, 14096, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 3259, 29918, 1807, 353, 6213, 30004, 13, 12008, 1576, 3164, 1581, 1873, 20917, 408, 263, 1347, 30004, 13, 259, 6756, 13, 12008, 30004, 13, 30004, 13, 30004, 13, 1753, 2302, 10456, 19218, 1125, 30004, 13, 259, 14550, 29911, 29889, 2798, 29898, 1767, 29897, 1599, 6043, 1192, 736, 1353, 310, 13920, 2063, 310, 995, 30004, 13, 418, 6756, 13, 259, 14550, 30004, 13, 30004, 13, 259, 1209, 30004, 13, 30004, 13, 1753, 2380, 10456, 19218, 1125, 30004, 13, 259, 14550, 29911, 29889, 2248, 29898, 1767, 29892, 518, 2962, 29892, 518, 9847, 24960, 1599, 6043, 1192, 736, 937, 2380, 310, 995, 22993, 13, 418, 390, 1759, 267, 7865, 2392, 565, 278, 995, 338, 451, 2198, 22993, 13, 418, 6756, 13, 259, 14550, 30004, 13, 30004, 13, 259, 1209, 30004, 13, 30004, 13, 2 ]

dplace_app/load/util.py

Lumilam/D-Place

0

101555

# coding: utf8 from __future__ import unicode_literals import csv import logging from six import BytesIO from django.db import connection DATASET_SHORT = {'Binford': 'B'} def delete_all(model): model.objects.all().delete() with connection.cursor() as c: c.execute( "ALTER SEQUENCE %s_id_seq RESTART WITH 1" % model._meta.db_table ) def var_number_to_label(dataset, number): return "{0}{1:0>3}".format(DATASET_SHORT.get(dataset, dataset), number) def configure_logging(test=False): logger = logging.getLogger() logger.setLevel(logging.CRITICAL if test else logging.INFO) # file load.log gets everything fh = logging.FileHandler('load.log') fh.setLevel(logging.CRITICAL if test else logging.INFO) # create console handler with a higher log level ch = logging.StreamHandler() ch.setLevel(logging.CRITICAL if test else logging.WARN) # create formatter and add it to the handlers formatter = logging.Formatter('%(levelname)s:%(message)s') fh.setFormatter(formatter) ch.setFormatter(formatter) # add the handlers to the logger logger.addHandler(fh) logger.addHandler(ch) def stream(fname): with open(fname, 'rb') as fp: stream_ = BytesIO(fp.read()) stream_.seek(0) return stream_ def csv_reader(fname): for row in csv.reader(stream(fname)): yield [ col if col is None else col.decode('utf8').strip() for col in row ] def csv_dict_reader(fname): for dict_row in csv.DictReader(stream(fname)): for k in dict_row: if dict_row[k] is None: continue try: dict_row[k] = dict_row[k].decode('utf8').strip() except: logging.warn('cannot decode row item %s in %s' % (k, dict_row)) yield dict_row

[ 1, 396, 14137, 29901, 23616, 29947, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 5215, 11799, 13, 5215, 12183, 13, 13, 3166, 4832, 1053, 2648, 2167, 5971, 13, 3166, 9557, 29889, 2585, 1053, 3957, 13, 13, 13, 25832, 8127, 29911, 29918, 7068, 8476, 353, 11117, 29933, 262, 4006, 2396, 525, 29933, 10827, 13, 13, 13, 1753, 5217, 29918, 497, 29898, 4299, 1125, 13, 1678, 1904, 29889, 12650, 29889, 497, 2141, 8143, 580, 13, 1678, 411, 3957, 29889, 18127, 580, 408, 274, 29901, 13, 4706, 274, 29889, 7978, 29898, 13, 9651, 376, 1964, 4945, 3725, 13356, 1430, 4741, 1273, 29879, 29918, 333, 29918, 11762, 16759, 8322, 22659, 29871, 29896, 29908, 1273, 1904, 3032, 7299, 29889, 2585, 29918, 2371, 13, 4706, 1723, 13, 13, 13, 1753, 722, 29918, 4537, 29918, 517, 29918, 1643, 29898, 24713, 29892, 1353, 1125, 13, 1678, 736, 29850, 29900, 1157, 29896, 29901, 29900, 29958, 29941, 29913, 1642, 4830, 29898, 25832, 8127, 29911, 29918, 7068, 8476, 29889, 657, 29898, 24713, 29892, 8783, 511, 1353, 29897, 13, 13, 13, 1753, 10822, 29918, 21027, 29898, 1688, 29922, 8824, 1125, 13, 1678, 17927, 353, 12183, 29889, 657, 16363, 580, 13, 1678, 17927, 29889, 842, 10108, 29898, 21027, 29889, 11341, 1806, 2965, 1964, 565, 1243, 1683, 12183, 29889, 11690, 29897, 13, 1678, 396, 934, 2254, 29889, 1188, 4947, 4129, 13, 1678, 285, 29882, 353, 12183, 29889, 2283, 4598, 877, 1359, 29889, 1188, 1495, 13, 1678, 285, 29882, 29889, 842, 10108, 29898, 21027, 29889, 11341, 1806, 2965, 1964, 565, 1243, 1683, 12183, 29889, 11690, 29897, 13, 1678, 396, 1653, 2991, 7834, 411, 263, 6133, 1480, 3233, 13, 1678, 521, 353, 12183, 29889, 3835, 4598, 580, 13, 1678, 521, 29889, 842, 10108, 29898, 21027, 29889, 11341, 1806, 2965, 1964, 565, 1243, 1683, 12183, 29889, 29956, 15249, 29897, 13, 1678, 396, 1653, 883, 2620, 322, 788, 372, 304, 278, 25795, 13, 1678, 883, 2620, 353, 12183, 29889, 18522, 877, 29995, 29898, 5563, 978, 29897, 29879, 16664, 29898, 4906, 29897, 29879, 1495, 13, 1678, 285, 29882, 29889, 842, 18522, 29898, 689, 2620, 29897, 13, 1678, 521, 29889, 842, 18522, 29898, 689, 2620, 29897, 13, 1678, 396, 788, 278, 25795, 304, 278, 17927, 13, 1678, 17927, 29889, 1202, 4598, 29898, 29888, 29882, 29897, 13, 1678, 17927, 29889, 1202, 4598, 29898, 305, 29897, 13, 13, 13, 1753, 4840, 29898, 29888, 978, 1125, 13, 1678, 411, 1722, 29898, 29888, 978, 29892, 525, 6050, 1495, 408, 285, 29886, 29901, 13, 4706, 4840, 29918, 353, 2648, 2167, 5971, 29898, 18091, 29889, 949, 3101, 13, 4706, 4840, 5396, 344, 1416, 29898, 29900, 29897, 13, 4706, 736, 4840, 29918, 13, 13, 13, 1753, 11799, 29918, 16950, 29898, 29888, 978, 1125, 13, 1678, 363, 1948, 297, 11799, 29889, 16950, 29898, 5461, 29898, 29888, 978, 22164, 13, 4706, 7709, 518, 13, 9651, 784, 565, 784, 338, 6213, 1683, 784, 29889, 13808, 877, 9420, 29947, 2824, 17010, 580, 363, 784, 297, 1948, 13, 4706, 4514, 13, 13, 13, 1753, 11799, 29918, 8977, 29918, 16950, 29898, 29888, 978, 1125, 13, 1678, 363, 9657, 29918, 798, 297, 11799, 29889, 21533, 6982, 29898, 5461, 29898, 29888, 978, 22164, 13, 4706, 363, 413, 297, 9657, 29918, 798, 29901, 13, 9651, 565, 9657, 29918, 798, 29961, 29895, 29962, 338, 6213, 29901, 13, 18884, 6773, 13, 9651, 1018, 29901, 13, 18884, 9657, 29918, 798, 29961, 29895, 29962, 353, 9657, 29918, 798, 29961, 29895, 1822, 13808, 877, 9420, 29947, 2824, 17010, 580, 13, 9651, 5174, 29901, 13, 18884, 12183, 29889, 25442, 877, 29883, 6735, 21822, 1948, 2944, 1273, 29879, 297, 1273, 29879, 29915, 1273, 313, 29895, 29892, 9657, 29918, 798, 876, 13, 4706, 7709, 9657, 29918, 798, 13, 2 ]

civis_jupyter_notebooks/platform_persistence.py

menglewis/civis-jupyter-notebook

0

19993

<gh_stars>0 """ This file contains utilities that bind the Jupyter notebook to our platform. It performs two functions: 1. On startup, pull the contents of the notebook from platform to the local disk 2. As a Jupyter post-save hook, push the contents of the notebook and a HTML preview of the same back to platform. 3. Custom Error class for when a Notebook does not correctly initialize """ import civis import nbformat import os import sys import subprocess import requests from io import open from subprocess import check_call from subprocess import CalledProcessError from civis_jupyter_notebooks import log_utils def initialize_notebook_from_platform(notebook_path): """ This runs on startup to initialize the notebook """ logger.info('Retrieving notebook information from Platform') client = get_client() notebook_model = client.notebooks.get(os.environ['PLATFORM_OBJECT_ID']) logger.info('Pulling contents of notebook file from S3') r = requests.get(notebook_model.notebook_url) if r.status_code != 200: raise NotebookManagementError('Failed to pull down notebook file from S3') notebook = nbformat.reads(r.content, nbformat.NO_CONVERT) s3_notebook_new = notebook.get('metadata', {}).get('civis', {}).get('new_notebook', False) if s3_notebook_new: notebook.metadata.pop('civis') # Only overwrite the git version of the notebook with the S3 version if # the S3 version is not the brand new empty template git_notebook_exists = os.path.isfile(notebook_path) if not git_notebook_exists or not s3_notebook_new: logger.info('Restoring notebook file from S3') directory = os.path.dirname(notebook_path) if not os.path.exists(directory): os.makedirs(directory) with open(notebook_path, mode='w', encoding='utf-8') as nb_file: nbformat.write(notebook, nb_file) logger.info('Notebook file ready') if hasattr(notebook_model, 'requirements_url') and notebook_model.requirements_url: __pull_and_load_requirements(notebook_model.requirements_url, notebook_path) def __pull_and_load_requirements(url, notebook_path): logger.info('Pulling down the requirements file') r = requests.get(url) if r.status_code != 200: raise NotebookManagementError('Failed to pull down requirements.txt file from S3') logger.info('Writing contents of requirements file') requirements_path = os.path.join(os.path.dirname(notebook_path), 'requirements.txt') with open(requirements_path, 'wb') as requirements: requirements.write(r.content) logger.info('Requirements file ready') def find_and_install_requirements(requirements_path): while os.path.isdir(requirements_path) and requirements_path != '/root': requirements_file = os.path.join(requirements_path, 'requirements.txt') logger.info('Looking for requirements at %s' % requirements_file) if not os.path.isfile(requirements_file): requirements_path = os.path.dirname(requirements_path) continue pip_install(requirements_file) break def pip_install(requirements_file): logger.info('Installing packages from %s' % requirements_file) try: subprocess.check_output( [sys.executable, '-m', 'pip', 'install', '-r', requirements_file], stderr=subprocess.STDOUT ) logger.info('Installed requirements.txt') except subprocess.CalledProcessError as e: raise NotebookManagementError(e.output.decode("utf-8")) def post_save(model, os_path, contents_manager): """ Called from Jupyter post-save hook. Manages save of NB """ if model['type'] != 'notebook': return logger.info('Getting URLs to update notebook') update_url, update_preview_url = get_update_urls() save_notebook(update_url, os_path) generate_and_save_preview(update_preview_url, os_path) logger.info('Notebook save complete') def get_update_urls(): """ Get the URLs needed to update the NB. These URLs expire after a few minutes so do not cache them """ client = get_client() urls = client.notebooks.list_update_links(os.environ['PLATFORM_OBJECT_ID']) return (urls.update_url, urls.update_preview_url) def save_notebook(url, os_path): """ Push raw notebook to S3 """ with open(os_path, 'rb') as nb_file: logger.info('Pushing latest notebook file to S3') requests.put(url, data=nb_file.read()) logger.info('Notebook file updated') def generate_and_save_preview(url, os_path): """ Render NB-as-HTML and push that file to S3 """ d, fname = os.path.split(os_path) logger.info('Rendering notebook to HTML') try: check_call(['jupyter', 'nbconvert', '--to', 'html', fname], cwd=d) except CalledProcessError as e: raise NotebookManagementError('nbconvert failed to convert notebook file to html: {}'.format(repr(e))) preview_path = os.path.splitext(os_path)[0] + '.html' with open(preview_path, 'rb') as preview_file: logger.info('Pushing latest notebook preview to S3') requests.put(url, data=preview_file.read()) logger.info('Notebook preview updated') def get_client(): """ This gets a client that knows about our notebook endpoints """ # TODO: Simplify this once the notebooks endpoints are in the client return civis.APIClient(resources='all') class NotebookManagementError(Exception): ''' raised whenever we hit an error trying to move notebook data between our notebook and platform ''' logger = log_utils.setup_stream_logging()

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 15945, 29908, 13, 29871, 910, 934, 3743, 3667, 1907, 393, 7868, 278, 27441, 25547, 451, 19273, 304, 1749, 7481, 29889, 13, 29871, 739, 23233, 1023, 3168, 29901, 13, 259, 29896, 29889, 1551, 20234, 29892, 8206, 278, 8118, 310, 278, 451, 19273, 515, 7481, 304, 278, 1887, 8086, 13, 259, 29906, 29889, 1094, 263, 27441, 25547, 1400, 29899, 7620, 12422, 29892, 5503, 278, 8118, 310, 278, 451, 19273, 322, 263, 4544, 25267, 310, 278, 1021, 1250, 304, 7481, 29889, 13, 259, 29941, 29889, 8701, 4829, 770, 363, 746, 263, 2216, 19273, 947, 451, 5149, 11905, 13, 15945, 29908, 13, 5215, 14175, 275, 13, 5215, 302, 29890, 4830, 13, 5215, 2897, 13, 5215, 10876, 13, 5215, 1014, 5014, 13, 5215, 7274, 13, 3166, 12013, 1053, 1722, 13, 3166, 1014, 5014, 1053, 1423, 29918, 4804, 13, 3166, 1014, 5014, 1053, 3037, 839, 7032, 2392, 13, 3166, 14175, 275, 29918, 29926, 786, 25547, 29918, 1333, 19273, 29879, 1053, 1480, 29918, 13239, 13, 13, 13, 1753, 11905, 29918, 1333, 19273, 29918, 3166, 29918, 12120, 29898, 1333, 19273, 29918, 2084, 1125, 13, 1678, 9995, 910, 6057, 373, 20234, 304, 11905, 278, 451, 19273, 9995, 13, 1678, 17927, 29889, 3888, 877, 8015, 2546, 1747, 451, 19273, 2472, 515, 28096, 1495, 13, 1678, 3132, 353, 679, 29918, 4645, 580, 13, 1678, 451, 19273, 29918, 4299, 353, 3132, 29889, 1333, 19273, 29879, 29889, 657, 29898, 359, 29889, 21813, 1839, 7390, 1299, 19094, 29918, 14824, 17637, 29918, 1367, 11287, 13, 13, 1678, 17927, 29889, 3888, 877, 29925, 913, 292, 8118, 310, 451, 19273, 934, 515, 317, 29941, 1495, 13, 1678, 364, 353, 7274, 29889, 657, 29898, 1333, 19273, 29918, 4299, 29889, 1333, 19273, 29918, 2271, 29897, 13, 1678, 565, 364, 29889, 4882, 29918, 401, 2804, 29871, 29906, 29900, 29900, 29901, 13, 4706, 12020, 2216, 19273, 27107, 2392, 877, 17776, 304, 8206, 1623, 451, 19273, 934, 515, 317, 29941, 1495, 13, 1678, 451, 19273, 353, 302, 29890, 4830, 29889, 949, 29879, 29898, 29878, 29889, 3051, 29892, 302, 29890, 4830, 29889, 6632, 29918, 6007, 5348, 29911, 29897, 13, 13, 1678, 269, 29941, 29918, 1333, 19273, 29918, 1482, 353, 451, 19273, 29889, 657, 877, 19635, 742, 6571, 467, 657, 877, 29883, 440, 275, 742, 6571, 467, 657, 877, 1482, 29918, 1333, 19273, 742, 7700, 29897, 13, 1678, 565, 269, 29941, 29918, 1333, 19273, 29918, 1482, 29901, 13, 4706, 451, 19273, 29889, 19635, 29889, 7323, 877, 29883, 440, 275, 1495, 13, 13, 1678, 396, 9333, 26556, 278, 6315, 1873, 310, 278, 451, 19273, 411, 278, 317, 29941, 1873, 565, 13, 1678, 396, 278, 317, 29941, 1873, 338, 451, 278, 14982, 716, 4069, 4472, 13, 1678, 6315, 29918, 1333, 19273, 29918, 9933, 353, 2897, 29889, 2084, 29889, 275, 1445, 29898, 1333, 19273, 29918, 2084, 29897, 13, 1678, 565, 451, 6315, 29918, 1333, 19273, 29918, 9933, 470, 451, 269, 29941, 29918, 1333, 19273, 29918, 1482, 29901, 13, 4706, 17927, 29889, 3888, 877, 15078, 8253, 451, 19273, 934, 515, 317, 29941, 1495, 13, 4706, 3884, 353, 2897, 29889, 2084, 29889, 25721, 29898, 1333, 19273, 29918, 2084, 29897, 13, 4706, 565, 451, 2897, 29889, 2084, 29889, 9933, 29898, 12322, 1125, 13, 9651, 2897, 29889, 29885, 12535, 12935, 29898, 12322, 29897, 13, 13, 4706, 411, 1722, 29898, 1333, 19273, 29918, 2084, 29892, 4464, 2433, 29893, 742, 8025, 2433, 9420, 29899, 29947, 1495, 408, 302, 29890, 29918, 1445, 29901, 13, 9651, 302, 29890, 4830, 29889, 3539, 29898, 1333, 19273, 29892, 302, 29890, 29918, 1445, 29897, 13, 13, 1678, 17927, 29889, 3888, 877, 3664, 19273, 934, 7960, 1495, 13, 13, 1678, 565, 756, 5552, 29898, 1333, 19273, 29918, 4299, 29892, 525, 12277, 1860, 29918, 2271, 1495, 322, 451, 19273, 29918, 4299, 29889, 12277, 1860, 29918, 2271, 29901, 13, 4706, 4770, 26746, 29918, 392, 29918, 1359, 29918, 12277, 1860, 29898, 1333, 19273, 29918, 4299, 29889, 12277, 1860, 29918, 2271, 29892, 451, 19273, 29918, 2084, 29897, 13, 13, 13, 1753, 4770, 26746, 29918, 392, 29918, 1359, 29918, 12277, 1860, 29898, 2271, 29892, 451, 19273, 29918, 2084, 1125, 13, 1678, 17927, 29889, 3888, 877, 29925, 913, 292, 1623, 278, 11780, 934, 1495, 13, 1678, 364, 353, 7274, 29889, 657, 29898, 2271, 29897, 13, 13, 1678, 565, 364, 29889, 4882, 29918, 401, 2804, 29871, 29906, 29900, 29900, 29901, 13, 4706, 12020, 2216, 19273, 27107, 2392, 877, 17776, 304, 8206, 1623, 11780, 29889, 3945, 934, 515, 317, 29941, 1495, 13, 13, 1678, 17927, 29889, 3888, 877, 29956, 768, 292, 8118, 310, 11780, 934, 1495, 13, 1678, 11780, 29918, 2084, 353, 2897, 29889, 2084, 29889, 7122, 29898, 359, 29889, 2084, 29889, 25721, 29898, 1333, 19273, 29918, 2084, 511, 525, 12277, 1860, 29889, 3945, 1495, 13, 1678, 411, 1722, 29898, 12277, 1860, 29918, 2084, 29892, 525, 29893, 29890, 1495, 408, 11780, 29901, 13, 4706, 11780, 29889, 3539, 29898, 29878, 29889, 3051, 29897, 13, 13, 1678, 17927, 29889, 3888, 877, 1123, 1548, 1860, 934, 7960, 1495, 13, 13, 13, 1753, 1284, 29918, 392, 29918, 6252, 29918, 12277, 1860, 29898, 12277, 1860, 29918, 2084, 1125, 13, 1678, 1550, 2897, 29889, 2084, 29889, 275, 3972, 29898, 12277, 1860, 29918, 2084, 29897, 322, 11780, 29918, 2084, 2804, 8207, 4632, 2396, 13, 4706, 11780, 29918, 1445, 353, 2897, 29889, 2084, 29889, 7122, 29898, 12277, 1860, 29918, 2084, 29892, 525, 12277, 1860, 29889, 3945, 1495, 13, 4706, 17927, 29889, 3888, 877, 14959, 292, 363, 11780, 472, 1273, 29879, 29915, 1273, 11780, 29918, 1445, 29897, 13, 4706, 565, 451, 2897, 29889, 2084, 29889, 275, 1445, 29898, 12277, 1860, 29918, 1445, 1125, 13, 9651, 11780, 29918, 2084, 353, 2897, 29889, 2084, 29889, 25721, 29898, 12277, 1860, 29918, 2084, 29897, 13, 9651, 6773, 13, 13, 4706, 8450, 29918, 6252, 29898, 12277, 1860, 29918, 1445, 29897, 13, 4706, 2867, 13, 13, 13, 1753, 8450, 29918, 6252, 29898, 12277, 1860, 29918, 1445, 1125, 13, 1678, 17927, 29889, 3888, 877, 23271, 292, 9741, 515, 1273, 29879, 29915, 1273, 11780, 29918, 1445, 29897, 13, 1678, 1018, 29901, 13, 4706, 1014, 5014, 29889, 3198, 29918, 4905, 29898, 13, 18884, 518, 9675, 29889, 4258, 9246, 29892, 17411, 29885, 742, 525, 13096, 742, 525, 6252, 742, 17411, 29878, 742, 11780, 29918, 1445, 1402, 13, 18884, 380, 20405, 29922, 1491, 5014, 29889, 1254, 3970, 2692, 13, 18884, 1723, 13, 4706, 17927, 29889, 3888, 877, 3379, 4212, 11780, 29889, 3945, 1495, 13, 1678, 5174, 1014, 5014, 29889, 29907, 4212, 7032, 2392, 408, 321, 29901, 13, 4706, 12020, 2216, 19273, 27107, 2392, 29898, 29872, 29889, 4905, 29889, 13808, 703, 9420, 29899, 29947, 5783, 13, 13, 13, 1753, 1400, 29918, 7620, 29898, 4299, 29892, 2897, 29918, 2084, 29892, 8118, 29918, 12847, 1125, 13, 1678, 9995, 3037, 839, 515, 27441, 25547, 1400, 29899, 7620, 12422, 29889, 2315, 1179, 4078, 310, 405, 29933, 9995, 13, 13, 1678, 565, 1904, 1839, 1853, 2033, 2804, 525, 1333, 19273, 2396, 13, 4706, 736, 13, 1678, 17927, 29889, 3888, 877, 2577, 1259, 24295, 304, 2767, 451, 19273, 1495, 13, 1678, 2767, 29918, 2271, 29892, 2767, 29918, 25347, 29918, 2271, 353, 679, 29918, 5504, 29918, 26045, 580, 13, 1678, 4078, 29918, 1333, 19273, 29898, 5504, 29918, 2271, 29892, 2897, 29918, 2084, 29897, 13, 1678, 5706, 29918, 392, 29918, 7620, 29918, 25347, 29898, 5504, 29918, 25347, 29918, 2271, 29892, 2897, 29918, 2084, 29897, 13, 1678, 17927, 29889, 3888, 877, 3664, 19273, 4078, 4866, 1495, 13, 13, 13, 1753, 679, 29918, 5504, 29918, 26045, 7295, 13, 1678, 9995, 13, 418, 3617, 278, 24295, 4312, 304, 2767, 278, 405, 29933, 29889, 13, 418, 4525, 24295, 1518, 533, 1156, 263, 2846, 6233, 577, 437, 451, 7090, 963, 13, 1678, 9995, 13, 13, 1678, 3132, 353, 679, 29918, 4645, 580, 13, 1678, 23942, 353, 3132, 29889, 1333, 19273, 29879, 29889, 1761, 29918, 5504, 29918, 4965, 29898, 359, 29889, 21813, 1839, 7390, 1299, 19094, 29918, 14824, 17637, 29918, 1367, 11287, 13, 1678, 736, 313, 26045, 29889, 5504, 29918, 2271, 29892, 23942, 29889, 5504, 29918, 25347, 29918, 2271, 29897, 13, 13, 13, 1753, 4078, 29918, 1333, 19273, 29898, 2271, 29892, 2897, 29918, 2084, 1125, 13, 1678, 9995, 349, 1878, 10650, 451, 19273, 304, 317, 29941, 9995, 13, 1678, 411, 1722, 29898, 359, 29918, 2084, 29892, 525, 6050, 1495, 408, 302, 29890, 29918, 1445, 29901, 13, 4706, 17927, 29889, 3888, 877, 29925, 21616, 9281, 451, 19273, 934, 304, 317, 29941, 1495, 13, 4706, 7274, 29889, 649, 29898, 2271, 29892, 848, 29922, 9877, 29918, 1445, 29889, 949, 3101, 13, 4706, 17927, 29889, 3888, 877, 3664, 19273, 934, 4784, 1495, 13, 13, 13, 1753, 5706, 29918, 392, 29918, 7620, 29918, 25347, 29898, 2271, 29892, 2897, 29918, 2084, 1125, 13, 1678, 9995, 26000, 405, 29933, 29899, 294, 29899, 7020, 322, 5503, 393, 934, 304, 317, 29941, 9995, 13, 1678, 270, 29892, 285, 978, 353, 2897, 29889, 2084, 29889, 5451, 29898, 359, 29918, 2084, 29897, 13, 1678, 17927, 29889, 3888, 877, 10716, 292, 451, 19273, 304, 4544, 1495, 13, 1678, 1018, 29901, 13, 4706, 1423, 29918, 4804, 18959, 29926, 786, 25547, 742, 525, 9877, 13441, 742, 525, 489, 517, 742, 525, 1420, 742, 285, 978, 1402, 274, 9970, 29922, 29881, 29897, 13, 1678, 5174, 3037, 839, 7032, 2392, 408, 321, 29901, 13, 4706, 12020, 2216, 19273, 27107, 2392, 877, 9877, 13441, 5229, 304, 3588, 451, 19273, 934, 304, 3472, 29901, 6571, 4286, 4830, 29898, 276, 558, 29898, 29872, 4961, 13, 13, 1678, 25267, 29918, 2084, 353, 2897, 29889, 2084, 29889, 23579, 568, 486, 29898, 359, 29918, 2084, 9601, 29900, 29962, 718, 15300, 1420, 29915, 13, 1678, 411, 1722, 29898, 25347, 29918, 2084, 29892, 525, 6050, 1495, 408, 25267, 29918, 1445, 29901, 13, 4706, 17927, 29889, 3888, 877, 29925, 21616, 9281, 451, 19273, 25267, 304, 317, 29941, 1495, 13, 4706, 7274, 29889, 649, 29898, 2271, 29892, 848, 29922, 25347, 29918, 1445, 29889, 949, 3101, 13, 4706, 17927, 29889, 3888, 877, 3664, 19273, 25267, 4784, 1495, 13, 13, 13, 1753, 679, 29918, 4645, 7295, 13, 1678, 9995, 910, 4947, 263, 3132, 393, 9906, 1048, 1749, 451, 19273, 1095, 9748, 9995, 13, 13, 1678, 396, 14402, 29901, 3439, 572, 1598, 445, 2748, 278, 451, 19273, 29879, 1095, 9748, 526, 297, 278, 3132, 13, 1678, 736, 14175, 275, 29889, 8787, 4032, 29898, 13237, 2433, 497, 1495, 13, 13, 13, 1990, 2216, 19273, 27107, 2392, 29898, 2451, 1125, 13, 1678, 14550, 13, 1678, 10425, 10940, 591, 7124, 385, 1059, 1811, 304, 4337, 13, 1678, 451, 19273, 848, 1546, 1749, 451, 19273, 322, 7481, 13, 1678, 14550, 13, 13, 13, 21707, 353, 1480, 29918, 13239, 29889, 14669, 29918, 5461, 29918, 21027, 580, 13, 2 ]

club/urls.py

reddevilcero/SchoolWeb

0

1607277

<reponame>reddevilcero/SchoolWeb<filename>club/urls.py from django.urls import path from .views import ClubListView, ClubDetailView urlpatterns = [ path('', ClubListView.as_view(), name='club'), path('<int:pk>/<slug:page_slug>/', ClubDetailView.as_view(), name='club_details'), ]

[ 1, 529, 276, 1112, 420, 29958, 1127, 3359, 309, 29883, 1489, 29914, 4504, 1507, 3609, 29966, 9507, 29958, 29066, 29914, 26045, 29889, 2272, 13, 3166, 9557, 29889, 26045, 1053, 2224, 13, 3166, 869, 7406, 1053, 5977, 15660, 29892, 5977, 16570, 1043, 13, 13, 2271, 11037, 29879, 353, 518, 13, 1678, 2224, 877, 742, 5977, 15660, 29889, 294, 29918, 1493, 3285, 1024, 2433, 29066, 5477, 13, 1678, 2224, 877, 29966, 524, 29901, 20571, 20690, 29966, 29517, 29901, 3488, 29918, 29517, 20690, 742, 5977, 16570, 1043, 29889, 294, 29918, 1493, 3285, 13, 308, 1024, 2433, 29066, 29918, 14144, 5477, 13, 1678, 4514, 13, 2 ]

nq_eval_yorko.py

Yorko/natural-questions

1

63740

# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. r"""Evaluation script for TensorFlow 2.0 Question Answering, adapted by yorko from nq_eval, Natural Questions https://ai.google.com/research/NaturalQuestions https://www.kaggle.com/c/tensorflow2-question-answering/ ------------------------------------------------------------------------------ Example usage: nq_eval_yorko --gold_path=<path-to-gold-files> --predictions_path=<path_to_json> This will compute both the official F1 scores as well as recall@precision tables for both long and short answers. Note that R@P are only meaningful if your model populates the score fields of the prediction JSON format. gold_path should point to the five way annotated dev data in the original download format (gzipped jsonlines). predictions_path should point to a json file containing the predictions in the format given below. ------------------------------------------------------------------------------ Prediction format: {'predictions': [ { 'example_id': -2226525965842375672, 'long_answer': { 'start_byte': 62657, 'end_byte': 64776, 'start_token': 391, 'end_token': 604 }, 'long_answer_score': 13.5, 'short_answers': [ {'start_byte': 64206, 'end_byte': 64280, 'start_token': 555, 'end_token': 560}, ...], 'short_answers_score': 26.4, 'yes_no_answer': 'NONE' }, ... ] } """ from collections import OrderedDict from absl import app from absl import flags import eval_utils as util flags.DEFINE_string( 'gold_path', None, 'Path to the gzip JSON data. For ' 'multiple files, should be a glob ' 'pattern (e.g. "/path/to/files-*"') flags.DEFINE_string('predictions_path', None, 'Path to prediction JSON.') flags.DEFINE_integer('num_threads', 10, 'Number of threads for reading.') flags.DEFINE_float('score_thres_long', -100, 'Score threshold for long answers') flags.DEFINE_float('score_thres_short', -100, 'Score threshold for short answers') FLAGS = flags.FLAGS def safe_divide(x, y): """Compute x / y, but return 0 if y is zero.""" if y == 0: return 0 else: return x / y def score_long_answer(gold_label_list, pred_label, score_thres): """Scores a long answer as correct or not. 1) First decide if there is a gold long answer with LONG_NO_NULL_THRESHOLD. 2) The prediction will get a match if: a. There is a gold long answer. b. The prediction span match exactly with *one* of the non-null gold long answer span. Args: gold_label_list: A list of NQLabel, could be None. pred_label: A single NQLabel, could be None. score_thres; score threshold Returns: gold_has_answer, pred_has_answer, is_correct, score """ gold_has_answer = util.gold_has_long_answer(gold_label_list) is_correct = False score = pred_label.long_score pred_has_answer = pred_label and ( not pred_label.long_answer_span.is_null_span()) and score >= score_thres # Both sides are non-null spans. if gold_has_answer and pred_has_answer: for gold_label in gold_label_list: # while the voting results indicate there is an long answer, each # annotator might still say there is no long answer. if gold_label.long_answer_span.is_null_span(): continue if util.nonnull_span_equal(gold_label.long_answer_span, pred_label.long_answer_span): is_correct = True break return gold_has_answer, pred_has_answer, is_correct, score def score_short_answer(gold_label_list, pred_label, score_thres): """Scores a short answer as correct or not. 1) First decide if there is a gold short answer with SHORT_NO_NULL_THRESHOLD. 2) The prediction will get a match if: a. There is a gold short answer. b. The prediction span *set* match exactly with *one* of the non-null gold short answer span *set*. Args: gold_label_list: A list of NQLabel. pred_label: A single NQLabel. score_thres: score threshold Returns: gold_has_answer, pred_has_answer, is_correct, score """ # There is a gold short answer if gold_label_list not empty and non null # answers is over the threshold (sum over annotators). gold_has_answer = util.gold_has_short_answer(gold_label_list) is_correct = False score = pred_label.short_score # There is a pred long answer if pred_label is not empty and short answer # set is not empty. pred_has_answer = pred_label and ( (not util.is_null_span_list(pred_label.short_answer_span_list)) or pred_label.yes_no_answer != 'none') and score >= score_thres # Both sides have short answers, which contains yes/no questions. if gold_has_answer and pred_has_answer: if pred_label.yes_no_answer != 'none': # System thinks its y/n questions. for gold_label in gold_label_list: if pred_label.yes_no_answer == gold_label.yes_no_answer: is_correct = True break else: for gold_label in gold_label_list: if util.span_set_equal(gold_label.short_answer_span_list, pred_label.short_answer_span_list): is_correct = True break return gold_has_answer, pred_has_answer, is_correct, score def score_answers(gold_annotation_dict, pred_dict, score_thres_long, score_thres_short): """Scores all answers for all documents. Args: gold_annotation_dict: a dict from example id to list of NQLabels. pred_dict: a dict from example id to list of NQLabels. score_thres_long: score threshold for long answers score_thres_short: score threshold for short answers Returns: long_answer_stats: List of scores for long answers. short_answer_stats: List of scores for short answers. """ gold_id_set = set(gold_annotation_dict.keys()) pred_id_set = set(pred_dict.keys()) if gold_id_set.symmetric_difference(pred_id_set): raise ValueError('ERROR: the example ids in gold annotations and example ' 'ids in the prediction are not equal.') long_answer_stats = [] short_answer_stats = [] for example_id in gold_id_set: gold = gold_annotation_dict[example_id] pred = pred_dict[example_id] long_answer_stats.append(score_long_answer(gold, pred, score_thres_long)) short_answer_stats.append(score_short_answer(gold, pred, score_thres_short)) # use the 'score' column, which is last long_answer_stats.sort(key=lambda x: x[-1], reverse=True) short_answer_stats.sort(key=lambda x: x[-1], reverse=True) return long_answer_stats, short_answer_stats def compute_f1(answer_stats, prefix=''): """Computes F1, precision, recall for a list of answer scores. Args: answer_stats: List of per-example scores. prefix (''): Prefix to prepend to score dictionary. Returns: Dictionary mapping string names to scores. """ has_gold, has_pred, is_correct, _ = list(zip(*answer_stats)) precision = safe_divide(sum(is_correct), sum(has_pred)) recall = safe_divide(sum(is_correct), sum(has_gold)) f1 = safe_divide(2 * precision * recall, precision + recall) return OrderedDict({ prefix + 'n': len(answer_stats), prefix + 'f1': f1, prefix + 'precision': precision, prefix + 'recall': recall }) def compute_final_f1(long_answer_stats, short_answer_stats): """Computes overall F1 given long and short answers, ignoring scores. Note: this assumes that the answers have been thresholded. Arguments: long_answer_stats: List of long answer scores. short_answer_stats: List of short answer scores. Returns: Dictionary of name (string) -> score. """ scores = compute_f1(long_answer_stats, prefix='long-answer-') scores.update(compute_f1(short_answer_stats, prefix='short-answer-')) scores.update(compute_f1(long_answer_stats + short_answer_stats, prefix='all-answer-')) return scores def main(_): nq_gold_dict = util.read_annotation(FLAGS.gold_path, n_threads=FLAGS.num_threads) nq_pred_dict = util.read_prediction_json(FLAGS.predictions_path) long_answer_stats, short_answer_stats = score_answers(nq_gold_dict, nq_pred_dict, score_thres_long=FLAGS.score_thres_long, score_thres_short=FLAGS.score_thres_short) # reporting results print('*' * 20) scores = compute_final_f1(long_answer_stats, short_answer_stats) print('*' * 20) print('SCORES (n={}):'.format( scores['long-answer-n'])) print(' F1 / P / R') print('Long answer {: >7.2%} / {: >7.2%} / {: >7.2%}'.format( scores['long-answer-f1'], scores['long-answer-precision'], scores['long-answer-recall'])) print('Short answer {: >7.2%} / {: >7.2%} / {: >7.2%}'.format( scores['short-answer-f1'], scores['short-answer-precision'], scores['short-answer-recall'])) print('All answers {: >7.2%} / {: >7.2%} / {: >7.2%}'.format( scores['all-answer-f1'], scores['all-answer-precision'], scores['all-answer-recall'])) if __name__ == '__main__': flags.mark_flag_as_required('gold_path') flags.mark_flag_as_required('predictions_path') app.run(main)

[ 1, 396, 14137, 29922, 9420, 29899, 29947, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29896, 29947, 450, 5087, 319, 29902, 17088, 8583, 13189, 943, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 268, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 29878, 15945, 29908, 29923, 4387, 362, 2471, 363, 323, 6073, 17907, 29871, 29906, 29889, 29900, 894, 673, 292, 29892, 13, 1678, 23430, 491, 343, 548, 29877, 515, 302, 29939, 29918, 14513, 29892, 18385, 894, 29879, 13, 13, 29871, 2045, 597, 1794, 29889, 3608, 29889, 510, 29914, 690, 2842, 29914, 29940, 18771, 2182, 2297, 13, 29871, 2045, 597, 1636, 29889, 29895, 351, 6234, 29889, 510, 29914, 29883, 29914, 29056, 29906, 29899, 12470, 29899, 12011, 292, 29914, 13, 13, 29871, 448, 2683, 2683, 2683, 2683, 9072, 29899, 13, 13, 29871, 8741, 8744, 29901, 13, 13, 29871, 302, 29939, 29918, 14513, 29918, 29891, 548, 29877, 1192, 29887, 1025, 29918, 2084, 29922, 29966, 2084, 29899, 517, 29899, 29887, 1025, 29899, 5325, 29958, 1192, 27711, 1080, 29918, 2084, 29922, 29966, 2084, 29918, 517, 29918, 3126, 29958, 13, 13, 29871, 910, 674, 10272, 1716, 278, 6221, 383, 29896, 19435, 408, 1532, 408, 17386, 29992, 17990, 2459, 13, 29871, 6131, 363, 1716, 1472, 322, 3273, 6089, 29889, 3940, 393, 390, 29992, 29925, 526, 871, 6593, 1319, 13, 29871, 565, 596, 1904, 14938, 1078, 278, 8158, 4235, 310, 278, 18988, 4663, 3402, 29889, 13, 13, 29871, 7684, 29918, 2084, 881, 1298, 304, 278, 5320, 982, 9732, 630, 2906, 848, 297, 278, 13, 29871, 2441, 5142, 3402, 313, 29887, 2526, 2986, 4390, 9012, 467, 13, 13, 29871, 27303, 29918, 2084, 881, 1298, 304, 263, 4390, 934, 6943, 278, 27303, 297, 13, 29871, 278, 3402, 2183, 2400, 29889, 13, 13, 29871, 448, 2683, 2683, 2683, 2683, 9072, 29899, 13, 13, 29871, 21099, 2463, 3402, 29901, 13, 13, 29871, 11117, 27711, 1080, 2396, 518, 13, 1678, 426, 13, 418, 525, 4773, 29918, 333, 2396, 448, 29906, 29906, 29906, 29953, 29945, 29906, 29945, 29929, 29953, 29945, 29947, 29946, 29906, 29941, 29955, 29945, 29953, 29955, 29906, 29892, 13, 418, 525, 5426, 29918, 12011, 2396, 426, 13, 4706, 525, 2962, 29918, 10389, 2396, 29871, 29953, 29906, 29953, 29945, 29955, 29892, 525, 355, 29918, 10389, 2396, 29871, 29953, 29946, 29955, 29955, 29953, 29892, 13, 4706, 525, 2962, 29918, 6979, 2396, 29871, 29941, 29929, 29896, 29892, 525, 355, 29918, 6979, 2396, 29871, 29953, 29900, 29946, 13, 418, 2981, 13, 418, 525, 5426, 29918, 12011, 29918, 13628, 2396, 29871, 29896, 29941, 29889, 29945, 29892, 13, 418, 525, 12759, 29918, 550, 17538, 2396, 518, 13, 4706, 11117, 2962, 29918, 10389, 2396, 29871, 29953, 29946, 29906, 29900, 29953, 29892, 525, 355, 29918, 10389, 2396, 29871, 29953, 29946, 29906, 29947, 29900, 29892, 13, 308, 525, 2962, 29918, 6979, 2396, 29871, 29945, 29945, 29945, 29892, 525, 355, 29918, 6979, 2396, 29871, 29945, 29953, 29900, 1118, 2023, 1402, 13, 418, 525, 12759, 29918, 550, 17538, 29918, 13628, 2396, 29871, 29906, 29953, 29889, 29946, 29892, 13, 418, 525, 3582, 29918, 1217, 29918, 12011, 2396, 525, 29940, 12413, 29915, 13, 1678, 2981, 2023, 4514, 13, 29871, 500, 13, 15945, 29908, 13, 13, 3166, 16250, 1053, 8170, 287, 21533, 13, 3166, 633, 2536, 1053, 623, 13, 3166, 633, 2536, 1053, 13449, 13, 5215, 19745, 29918, 13239, 408, 3667, 13, 13, 15764, 29889, 24405, 8895, 29918, 1807, 29898, 13, 1678, 525, 29887, 1025, 29918, 2084, 742, 6213, 29892, 525, 2605, 304, 278, 330, 7554, 4663, 848, 29889, 1152, 525, 13, 462, 539, 525, 20787, 2066, 29892, 881, 367, 263, 13149, 525, 13, 462, 539, 525, 11037, 313, 29872, 29889, 29887, 29889, 5591, 2084, 29914, 517, 29914, 5325, 29899, 20605, 1495, 13, 15764, 29889, 24405, 8895, 29918, 1807, 877, 27711, 1080, 29918, 2084, 742, 6213, 29892, 525, 2605, 304, 18988, 4663, 29889, 1495, 13, 15764, 29889, 24405, 8895, 29918, 16031, 877, 1949, 29918, 28993, 742, 29871, 29896, 29900, 29892, 525, 4557, 310, 9717, 363, 5183, 29889, 1495, 13, 15764, 29889, 24405, 8895, 29918, 7411, 877, 13628, 29918, 386, 690, 29918, 5426, 742, 448, 29896, 29900, 29900, 29892, 525, 20097, 16897, 363, 1472, 6089, 1495, 13, 15764, 29889, 24405, 8895, 29918, 7411, 877, 13628, 29918, 386, 690, 29918, 12759, 742, 448, 29896, 29900, 29900, 29892, 525, 20097, 16897, 363, 3273, 6089, 1495, 13, 13, 18823, 10749, 353, 13449, 29889, 18823, 10749, 13, 13, 13, 1753, 9109, 29918, 4563, 680, 29898, 29916, 29892, 343, 1125, 13, 1678, 9995, 20606, 29872, 921, 847, 343, 29892, 541, 736, 29871, 29900, 565, 343, 338, 5225, 1213, 15945, 13, 1678, 565, 343, 1275, 29871, 29900, 29901, 13, 4706, 736, 29871, 29900, 13, 1678, 1683, 29901, 13, 4706, 736, 921, 847, 343, 13, 13, 13, 1753, 8158, 29918, 5426, 29918, 12011, 29898, 29887, 1025, 29918, 1643, 29918, 1761, 29892, 4450, 29918, 1643, 29892, 8158, 29918, 386, 690, 1125, 13, 1678, 9995, 4421, 2361, 263, 1472, 1234, 408, 1959, 470, 451, 29889, 13, 13, 268, 29896, 29897, 3824, 11097, 565, 727, 338, 263, 7684, 1472, 1234, 411, 365, 20614, 29918, 6632, 29918, 10074, 29918, 4690, 1525, 7068, 5607, 29928, 29889, 13, 268, 29906, 29897, 450, 18988, 674, 679, 263, 1993, 565, 29901, 13, 539, 263, 29889, 1670, 338, 263, 7684, 1472, 1234, 29889, 13, 539, 289, 29889, 450, 18988, 10638, 1993, 3721, 411, 334, 650, 29930, 310, 278, 1661, 29899, 4304, 7684, 13, 3986, 1472, 1234, 10638, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 7684, 29918, 1643, 29918, 1761, 29901, 319, 1051, 310, 405, 2239, 1107, 29892, 1033, 367, 6213, 29889, 13, 418, 4450, 29918, 1643, 29901, 319, 2323, 405, 2239, 1107, 29892, 1033, 367, 6213, 29889, 13, 418, 8158, 29918, 386, 690, 29936, 8158, 16897, 13, 13, 1678, 16969, 29901, 13, 418, 7684, 29918, 5349, 29918, 12011, 29892, 4450, 29918, 5349, 29918, 12011, 29892, 338, 29918, 15728, 29892, 8158, 13, 1678, 9995, 13, 1678, 7684, 29918, 5349, 29918, 12011, 353, 3667, 29889, 29887, 1025, 29918, 5349, 29918, 5426, 29918, 12011, 29898, 29887, 1025, 29918, 1643, 29918, 1761, 29897, 13, 13, 1678, 338, 29918, 15728, 353, 7700, 13, 1678, 8158, 353, 4450, 29918, 1643, 29889, 5426, 29918, 13628, 13, 13, 1678, 4450, 29918, 5349, 29918, 12011, 353, 4450, 29918, 1643, 322, 313, 13, 4706, 451, 4450, 29918, 1643, 29889, 5426, 29918, 12011, 29918, 9653, 29889, 275, 29918, 4304, 29918, 9653, 3101, 322, 8158, 6736, 8158, 29918, 386, 690, 13, 13, 1678, 396, 9134, 11192, 526, 1661, 29899, 4304, 805, 550, 29889, 13, 1678, 565, 7684, 29918, 5349, 29918, 12011, 322, 4450, 29918, 5349, 29918, 12011, 29901, 13, 4706, 363, 7684, 29918, 1643, 297, 7684, 29918, 1643, 29918, 1761, 29901, 13, 9651, 396, 1550, 278, 28931, 2582, 12266, 727, 338, 385, 1472, 1234, 29892, 1269, 13, 9651, 396, 9732, 1061, 1795, 1603, 1827, 727, 338, 694, 1472, 1234, 29889, 13, 9651, 565, 7684, 29918, 1643, 29889, 5426, 29918, 12011, 29918, 9653, 29889, 275, 29918, 4304, 29918, 9653, 7295, 13, 18884, 6773, 13, 13, 9651, 565, 3667, 29889, 29876, 3409, 913, 29918, 9653, 29918, 11745, 29898, 29887, 1025, 29918, 1643, 29889, 5426, 29918, 12011, 29918, 9653, 29892, 13, 462, 462, 539, 4450, 29918, 1643, 29889, 5426, 29918, 12011, 29918, 9653, 1125, 13, 18884, 338, 29918, 15728, 353, 5852, 13, 18884, 2867, 13, 13, 1678, 736, 7684, 29918, 5349, 29918, 12011, 29892, 4450, 29918, 5349, 29918, 12011, 29892, 338, 29918, 15728, 29892, 8158, 13, 13, 13, 1753, 8158, 29918, 12759, 29918, 12011, 29898, 29887, 1025, 29918, 1643, 29918, 1761, 29892, 4450, 29918, 1643, 29892, 8158, 29918, 386, 690, 1125, 13, 1678, 9995, 4421, 2361, 263, 3273, 1234, 408, 1959, 470, 451, 29889, 13, 13, 268, 29896, 29897, 3824, 11097, 565, 727, 338, 263, 7684, 3273, 1234, 411, 24972, 8476, 29918, 6632, 29918, 10074, 29918, 4690, 1525, 7068, 5607, 29928, 29889, 13, 268, 29906, 29897, 450, 18988, 674, 679, 263, 1993, 565, 29901, 13, 539, 263, 29889, 1670, 338, 263, 7684, 3273, 1234, 29889, 13, 539, 289, 29889, 450, 18988, 10638, 334, 842, 29930, 1993, 3721, 411, 334, 650, 29930, 310, 278, 1661, 29899, 4304, 7684, 13, 3986, 3273, 1234, 10638, 334, 842, 10521, 13, 13, 1678, 826, 3174, 29901, 13, 418, 7684, 29918, 1643, 29918, 1761, 29901, 319, 1051, 310, 405, 2239, 1107, 29889, 13, 418, 4450, 29918, 1643, 29901, 319, 2323, 405, 2239, 1107, 29889, 13, 418, 8158, 29918, 386, 690, 29901, 8158, 16897, 13, 13, 1678, 16969, 29901, 13, 418, 7684, 29918, 5349, 29918, 12011, 29892, 4450, 29918, 5349, 29918, 12011, 29892, 338, 29918, 15728, 29892, 8158, 13, 1678, 9995, 13, 13, 1678, 396, 1670, 338, 263, 7684, 3273, 1234, 565, 7684, 29918, 1643, 29918, 1761, 451, 4069, 322, 1661, 1870, 13, 1678, 396, 6089, 338, 975, 278, 16897, 313, 2083, 975, 9732, 4097, 467, 13, 1678, 7684, 29918, 5349, 29918, 12011, 353, 3667, 29889, 29887, 1025, 29918, 5349, 29918, 12759, 29918, 12011, 29898, 29887, 1025, 29918, 1643, 29918, 1761, 29897, 13, 13, 1678, 338, 29918, 15728, 353, 7700, 13, 1678, 8158, 353, 4450, 29918, 1643, 29889, 12759, 29918, 13628, 13, 13, 1678, 396, 1670, 338, 263, 4450, 1472, 1234, 565, 4450, 29918, 1643, 338, 451, 4069, 322, 3273, 1234, 13, 1678, 396, 731, 338, 451, 4069, 29889, 13, 1678, 4450, 29918, 5349, 29918, 12011, 353, 4450, 29918, 1643, 322, 313, 13, 9651, 313, 1333, 3667, 29889, 275, 29918, 4304, 29918, 9653, 29918, 1761, 29898, 11965, 29918, 1643, 29889, 12759, 29918, 12011, 29918, 9653, 29918, 1761, 876, 470, 13, 9651, 4450, 29918, 1643, 29889, 3582, 29918, 1217, 29918, 12011, 2804, 525, 9290, 1495, 322, 8158, 6736, 8158, 29918, 386, 690, 13, 13, 1678, 396, 9134, 11192, 505, 3273, 6089, 29892, 607, 3743, 4874, 29914, 1217, 5155, 29889, 13, 1678, 565, 7684, 29918, 5349, 29918, 12011, 322, 4450, 29918, 5349, 29918, 12011, 29901, 13, 4706, 565, 4450, 29918, 1643, 29889, 3582, 29918, 1217, 29918, 12011, 2804, 525, 9290, 2396, 29871, 396, 2184, 22405, 967, 343, 29914, 29876, 5155, 29889, 13, 9651, 363, 7684, 29918, 1643, 297, 7684, 29918, 1643, 29918, 1761, 29901, 13, 18884, 565, 4450, 29918, 1643, 29889, 3582, 29918, 1217, 29918, 12011, 1275, 7684, 29918, 1643, 29889, 3582, 29918, 1217, 29918, 12011, 29901, 13, 462, 1678, 338, 29918, 15728, 353, 5852, 13, 462, 1678, 2867, 13, 4706, 1683, 29901, 13, 9651, 363, 7684, 29918, 1643, 297, 7684, 29918, 1643, 29918, 1761, 29901, 13, 18884, 565, 3667, 29889, 9653, 29918, 842, 29918, 11745, 29898, 29887, 1025, 29918, 1643, 29889, 12759, 29918, 12011, 29918, 9653, 29918, 1761, 29892, 13, 462, 462, 539, 4450, 29918, 1643, 29889, 12759, 29918, 12011, 29918, 9653, 29918, 1761, 1125, 13, 462, 1678, 338, 29918, 15728, 353, 5852, 13, 462, 1678, 2867, 13, 13, 1678, 736, 7684, 29918, 5349, 29918, 12011, 29892, 4450, 29918, 5349, 29918, 12011, 29892, 338, 29918, 15728, 29892, 8158, 13, 13, 13, 1753, 8158, 29918, 550, 17538, 29898, 29887, 1025, 29918, 18317, 29918, 8977, 29892, 4450, 29918, 8977, 29892, 13, 462, 29871, 8158, 29918, 386, 690, 29918, 5426, 29892, 8158, 29918, 386, 690, 29918, 12759, 1125, 13, 1678, 9995, 4421, 2361, 599, 6089, 363, 599, 10701, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 7684, 29918, 18317, 29918, 8977, 29901, 263, 9657, 515, 1342, 1178, 304, 1051, 310, 405, 2239, 1107, 29879, 29889, 13, 418, 4450, 29918, 8977, 29901, 263, 9657, 515, 1342, 1178, 304, 1051, 310, 405, 2239, 1107, 29879, 29889, 13, 418, 8158, 29918, 386, 690, 29918, 5426, 29901, 8158, 16897, 363, 1472, 6089, 13, 418, 8158, 29918, 386, 690, 29918, 12759, 29901, 8158, 16897, 363, 3273, 6089, 13, 13, 1678, 16969, 29901, 13, 418, 1472, 29918, 12011, 29918, 16202, 29901, 2391, 310, 19435, 363, 1472, 6089, 29889, 13, 418, 3273, 29918, 12011, 29918, 16202, 29901, 2391, 310, 19435, 363, 3273, 6089, 29889, 13, 1678, 9995, 13, 1678, 7684, 29918, 333, 29918, 842, 353, 731, 29898, 29887, 1025, 29918, 18317, 29918, 8977, 29889, 8149, 3101, 13, 1678, 4450, 29918, 333, 29918, 842, 353, 731, 29898, 11965, 29918, 8977, 29889, 8149, 3101, 13, 13, 1678, 565, 7684, 29918, 333, 29918, 842, 29889, 11967, 16414, 29918, 29881, 17678, 29898, 11965, 29918, 333, 29918, 842, 1125, 13, 4706, 12020, 7865, 2392, 877, 11432, 29901, 278, 1342, 18999, 297, 7684, 25495, 322, 1342, 525, 13, 462, 308, 525, 4841, 297, 278, 18988, 526, 451, 5186, 29889, 1495, 13, 13, 1678, 1472, 29918, 12011, 29918, 16202, 353, 5159, 13, 1678, 3273, 29918, 12011, 29918, 16202, 353, 5159, 13, 13, 1678, 363, 1342, 29918, 333, 297, 7684, 29918, 333, 29918, 842, 29901, 13, 4706, 7684, 353, 7684, 29918, 18317, 29918, 8977, 29961, 4773, 29918, 333, 29962, 13, 4706, 4450, 353, 4450, 29918, 8977, 29961, 4773, 29918, 333, 29962, 13, 13, 4706, 1472, 29918, 12011, 29918, 16202, 29889, 4397, 29898, 13628, 29918, 5426, 29918, 12011, 29898, 29887, 1025, 29892, 4450, 29892, 8158, 29918, 386, 690, 29918, 5426, 876, 13, 4706, 3273, 29918, 12011, 29918, 16202, 29889, 4397, 29898, 13628, 29918, 12759, 29918, 12011, 29898, 29887, 1025, 29892, 4450, 29892, 8158, 29918, 386, 690, 29918, 12759, 876, 13, 13, 1678, 396, 671, 278, 525, 13628, 29915, 1897, 29892, 607, 338, 1833, 13, 1678, 1472, 29918, 12011, 29918, 16202, 29889, 6605, 29898, 1989, 29922, 2892, 921, 29901, 921, 14352, 29896, 1402, 11837, 29922, 5574, 29897, 13, 1678, 3273, 29918, 12011, 29918, 16202, 29889, 6605, 29898, 1989, 29922, 2892, 921, 29901, 921, 14352, 29896, 1402, 11837, 29922, 5574, 29897, 13, 13, 1678, 736, 1472, 29918, 12011, 29918, 16202, 29892, 3273, 29918, 12011, 29918, 16202, 13, 13, 13, 1753, 10272, 29918, 29888, 29896, 29898, 12011, 29918, 16202, 29892, 10944, 2433, 29374, 13, 1678, 9995, 20606, 267, 383, 29896, 29892, 16716, 29892, 17386, 363, 263, 1051, 310, 1234, 19435, 29889, 13, 13, 1678, 826, 3174, 29901, 13, 418, 1234, 29918, 16202, 29901, 2391, 310, 639, 29899, 4773, 19435, 29889, 13, 418, 10944, 313, 4907, 1125, 349, 9569, 304, 8273, 355, 304, 8158, 8600, 29889, 13, 13, 1678, 16969, 29901, 13, 418, 13343, 10417, 1347, 2983, 304, 19435, 29889, 13, 1678, 9995, 13, 13, 1678, 756, 29918, 29887, 1025, 29892, 756, 29918, 11965, 29892, 338, 29918, 15728, 29892, 903, 353, 1051, 29898, 7554, 10456, 12011, 29918, 16202, 876, 13, 1678, 16716, 353, 9109, 29918, 4563, 680, 29898, 2083, 29898, 275, 29918, 15728, 511, 2533, 29898, 5349, 29918, 11965, 876, 13, 1678, 17386, 353, 9109, 29918, 4563, 680, 29898, 2083, 29898, 275, 29918, 15728, 511, 2533, 29898, 5349, 29918, 29887, 1025, 876, 13, 1678, 285, 29896, 353, 9109, 29918, 4563, 680, 29898, 29906, 334, 16716, 334, 17386, 29892, 16716, 718, 17386, 29897, 13, 13, 1678, 736, 8170, 287, 21533, 3319, 13, 4706, 10944, 718, 525, 29876, 2396, 7431, 29898, 12011, 29918, 16202, 511, 13, 4706, 10944, 718, 525, 29888, 29896, 2396, 285, 29896, 29892, 13, 4706, 10944, 718, 525, 17990, 2459, 2396, 16716, 29892, 13, 4706, 10944, 718, 525, 3757, 497, 2396, 17386, 13, 1678, 5615, 13, 13, 13, 1753, 10272, 29918, 8394, 29918, 29888, 29896, 29898, 5426, 29918, 12011, 29918, 16202, 29892, 3273, 29918, 12011, 29918, 16202, 1125, 13, 1678, 9995, 20606, 267, 12463, 383, 29896, 2183, 1472, 322, 3273, 6089, 29892, 5330, 8253, 19435, 29889, 13, 13, 1678, 3940, 29901, 445, 15894, 393, 278, 6089, 505, 1063, 16897, 287, 29889, 13, 13, 1678, 11842, 9331, 29901, 13, 539, 1472, 29918, 12011, 29918, 16202, 29901, 2391, 310, 1472, 1234, 19435, 29889, 13, 539, 3273, 29918, 12011, 29918, 16202, 29901, 2391, 310, 3273, 1234, 19435, 29889, 13, 13, 1678, 16969, 29901, 13, 539, 13343, 310, 1024, 313, 1807, 29897, 1599, 8158, 29889, 13, 1678, 9995, 13, 1678, 19435, 353, 10272, 29918, 29888, 29896, 29898, 5426, 29918, 12011, 29918, 16202, 29892, 10944, 2433, 5426, 29899, 12011, 29899, 1495, 13, 1678, 19435, 29889, 5504, 29898, 26017, 29918, 29888, 29896, 29898, 12759, 29918, 12011, 29918, 16202, 29892, 10944, 2433, 12759, 29899, 12011, 29899, 8785, 13, 1678, 19435, 29889, 5504, 29898, 26017, 29918, 29888, 29896, 29898, 5426, 29918, 12011, 29918, 16202, 718, 3273, 29918, 12011, 29918, 16202, 29892, 10944, 2433, 497, 29899, 12011, 29899, 8785, 13, 1678, 736, 19435, 13, 13, 13, 1753, 1667, 7373, 1125, 13, 1678, 302, 29939, 29918, 29887, 1025, 29918, 8977, 353, 3667, 29889, 949, 29918, 18317, 29898, 18823, 10749, 29889, 29887, 1025, 29918, 2084, 29892, 302, 29918, 28993, 29922, 18823, 10749, 29889, 1949, 29918, 28993, 29897, 13, 13, 1678, 302, 29939, 29918, 11965, 29918, 8977, 353, 3667, 29889, 949, 29918, 11965, 2463, 29918, 3126, 29898, 18823, 10749, 29889, 27711, 1080, 29918, 2084, 29897, 13, 13, 1678, 1472, 29918, 12011, 29918, 16202, 29892, 3273, 29918, 12011, 29918, 16202, 353, 8158, 29918, 550, 17538, 29898, 29876, 29939, 29918, 29887, 1025, 29918, 8977, 29892, 13, 462, 462, 462, 3986, 302, 29939, 29918, 11965, 29918, 8977, 29892, 13, 462, 462, 462, 3986, 8158, 29918, 386, 690, 29918, 5426, 29922, 18823, 10749, 29889, 13628, 29918, 386, 690, 29918, 5426, 29892, 13, 462, 462, 462, 3986, 8158, 29918, 386, 690, 29918, 12759, 29922, 18823, 10749, 29889, 13628, 29918, 386, 690, 29918, 12759, 29897, 13, 13, 1678, 396, 23415, 2582, 13, 1678, 1596, 877, 29930, 29915, 334, 29871, 29906, 29900, 29897, 13, 13, 1678, 19435, 353, 10272, 29918, 8394, 29918, 29888, 29896, 29898, 5426, 29918, 12011, 29918, 16202, 29892, 3273, 29918, 12011, 29918, 16202, 29897, 13, 1678, 1596, 877, 29930, 29915, 334, 29871, 29906, 29900, 29897, 13, 1678, 1596, 877, 29903, 3217, 15989, 313, 29876, 3790, 29913, 1125, 4286, 4830, 29898, 13, 4706, 19435, 1839, 5426, 29899, 12011, 29899, 29876, 25901, 13, 1678, 1596, 877, 795, 383, 29896, 268, 847, 29871, 349, 418, 847, 29871, 390, 1495, 13, 1678, 1596, 877, 8208, 1234, 29871, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 847, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 847, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 4286, 4830, 29898, 13, 4706, 19435, 1839, 5426, 29899, 12011, 29899, 29888, 29896, 7464, 19435, 1839, 5426, 29899, 12011, 29899, 17990, 2459, 7464, 13, 4706, 19435, 1839, 5426, 29899, 12011, 29899, 3757, 497, 25901, 13, 1678, 1596, 877, 21322, 1234, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 847, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 847, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 4286, 4830, 29898, 13, 4706, 19435, 1839, 12759, 29899, 12011, 29899, 29888, 29896, 7464, 19435, 1839, 12759, 29899, 12011, 29899, 17990, 2459, 7464, 13, 4706, 19435, 1839, 12759, 29899, 12011, 29899, 3757, 497, 25901, 13, 1678, 1596, 877, 3596, 6089, 29871, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 847, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 847, 12365, 1405, 29955, 29889, 29906, 29995, 29913, 4286, 4830, 29898, 13, 4706, 19435, 1839, 497, 29899, 12011, 29899, 29888, 29896, 7464, 19435, 1839, 497, 29899, 12011, 29899, 17990, 2459, 7464, 13, 4706, 19435, 1839, 497, 29899, 12011, 29899, 3757, 497, 25901, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 13449, 29889, 3502, 29918, 15581, 29918, 294, 29918, 12403, 877, 29887, 1025, 29918, 2084, 1495, 13, 1678, 13449, 29889, 3502, 29918, 15581, 29918, 294, 29918, 12403, 877, 27711, 1080, 29918, 2084, 1495, 13, 1678, 623, 29889, 3389, 29898, 3396, 29897, 13, 2 ]

awscfncli2/cli/monkeypatch_clickcompletion.py

alytle/awscfncli

60

88659

<reponame>alytle/awscfncli from click import MultiCommand from click_completion.core import resolve_ctx, match, Option, Argument, \ completion_configuration def get_choices(cli, prog_name, args, incomplete): """ Parameters ---------- cli : click.Command The main click Command of the program prog_name : str The program name on the command line args : [str] The arguments already written by the user on the command line incomplete : str The partial argument to complete Returns ------- [(str, str)] A list of completion results. The first element of each tuple is actually the argument to complete, the second element is an help string for this argument. """ ctx = resolve_ctx(cli, prog_name, args) if ctx is None: return optctx = None if args: options = [param for param in ctx.command.get_params(ctx) if isinstance(param, Option)] arguments = [param for param in ctx.command.get_params(ctx) if isinstance(param, Argument)] for param in options: if not param.is_flag and args[-1] in param.opts + param.secondary_opts: optctx = param if optctx is None: for param in arguments: if ( not incomplete.startswith("-") and ( ctx.params.get(param.name) in (None, ()) or param.nargs == -1 ) ): optctx = param break choices = [] if optctx: choices += [c if isinstance(c, tuple) else (c, None) for c in optctx.type.complete(ctx, incomplete)] if not choices and hasattr(optctx, 'autocompletion') and optctx.autocompletion is not None: dynamic_completions = optctx.autocompletion(ctx=ctx, args=args, incomplete=incomplete) choices += [c if isinstance(c, tuple) else (c, None) for c in dynamic_completions] else: for param in ctx.command.get_params(ctx): if ( completion_configuration.complete_options or incomplete and not incomplete[ :1].isalnum()) and isinstance( param, Option): # filter hidden click.Option if getattr(param, 'hidden', False): continue for opt in param.opts: if match(opt, incomplete): choices.append((opt, param.help)) for opt in param.secondary_opts: if match(opt, incomplete): # don't put the doc so fish won't group the primary and # and secondary options choices.append((opt, None)) if isinstance(ctx.command, MultiCommand): for name in ctx.command.list_commands(ctx): if match(name, incomplete): choices.append( (name, ctx.command.get_command_short_help(ctx, name))) for item, help in choices: yield (item, help) def monkey_patch(): import click_completion click_completion.core.get_choices = get_choices

[ 1, 529, 276, 1112, 420, 29958, 284, 3637, 280, 29914, 1450, 1557, 9144, 11303, 13, 3166, 2828, 1053, 14974, 6255, 13, 3166, 2828, 29918, 5729, 12757, 29889, 3221, 1053, 8814, 29918, 13073, 29892, 1993, 29892, 10831, 29892, 23125, 29892, 320, 13, 1678, 13285, 29918, 13305, 13, 13, 13, 1753, 679, 29918, 1859, 1575, 29898, 11303, 29892, 410, 29887, 29918, 978, 29892, 6389, 29892, 28907, 1125, 13, 1678, 9995, 13, 13, 1678, 12662, 2699, 13, 1678, 448, 1378, 29899, 13, 1678, 9335, 584, 2828, 29889, 6255, 13, 4706, 450, 1667, 2828, 10516, 310, 278, 1824, 13, 1678, 410, 29887, 29918, 978, 584, 851, 13, 4706, 450, 1824, 1024, 373, 278, 1899, 1196, 13, 1678, 6389, 584, 518, 710, 29962, 13, 4706, 450, 6273, 2307, 3971, 491, 278, 1404, 373, 278, 1899, 1196, 13, 1678, 28907, 584, 851, 13, 4706, 450, 7687, 2980, 304, 4866, 13, 13, 1678, 16969, 13, 1678, 448, 22158, 13, 1678, 17288, 710, 29892, 851, 4638, 13, 4706, 319, 1051, 310, 13285, 2582, 29889, 450, 937, 1543, 310, 1269, 18761, 338, 2869, 278, 2980, 304, 4866, 29892, 278, 1473, 13, 4706, 1543, 338, 385, 1371, 1347, 363, 445, 2980, 29889, 13, 1678, 9995, 13, 1678, 12893, 353, 8814, 29918, 13073, 29898, 11303, 29892, 410, 29887, 29918, 978, 29892, 6389, 29897, 13, 1678, 565, 12893, 338, 6213, 29901, 13, 4706, 736, 13, 1678, 3523, 13073, 353, 6213, 13, 1678, 565, 6389, 29901, 13, 4706, 3987, 353, 518, 3207, 13, 462, 259, 363, 1828, 297, 12893, 29889, 6519, 29889, 657, 29918, 7529, 29898, 13073, 29897, 13, 462, 259, 565, 338, 8758, 29898, 3207, 29892, 10831, 4638, 13, 4706, 6273, 353, 518, 3207, 13, 462, 268, 363, 1828, 297, 12893, 29889, 6519, 29889, 657, 29918, 7529, 29898, 13073, 29897, 13, 462, 268, 565, 338, 8758, 29898, 3207, 29892, 23125, 4638, 13, 4706, 363, 1828, 297, 3987, 29901, 13, 9651, 565, 451, 1828, 29889, 275, 29918, 15581, 322, 6389, 14352, 29896, 29962, 297, 1828, 29889, 25707, 718, 1828, 29889, 7496, 653, 29918, 25707, 29901, 13, 18884, 3523, 13073, 353, 1828, 13, 4706, 565, 3523, 13073, 338, 6213, 29901, 13, 9651, 363, 1828, 297, 6273, 29901, 13, 18884, 565, 313, 13, 462, 4706, 451, 28907, 29889, 27382, 2541, 703, 29899, 1159, 13, 462, 4706, 322, 313, 13, 462, 4706, 12893, 29889, 7529, 29889, 657, 29898, 3207, 29889, 978, 29897, 297, 313, 8516, 29892, 313, 876, 13, 462, 4706, 470, 1828, 29889, 29876, 5085, 1275, 448, 29896, 13, 18884, 1723, 13, 462, 1125, 13, 462, 1678, 3523, 13073, 353, 1828, 13, 462, 1678, 2867, 13, 1678, 19995, 353, 5159, 13, 1678, 565, 3523, 13073, 29901, 13, 4706, 19995, 4619, 518, 29883, 565, 338, 8758, 29898, 29883, 29892, 18761, 29897, 1683, 313, 29883, 29892, 6213, 29897, 363, 274, 297, 13, 462, 1678, 3523, 13073, 29889, 1853, 29889, 8835, 29898, 13073, 29892, 28907, 4638, 13, 4706, 565, 451, 19995, 322, 756, 5552, 29898, 3670, 13073, 29892, 13, 462, 462, 259, 525, 6921, 5729, 12757, 1495, 322, 3523, 13073, 29889, 6921, 5729, 12757, 338, 451, 6213, 29901, 13, 9651, 7343, 29918, 5729, 29873, 1080, 353, 3523, 13073, 29889, 6921, 5729, 12757, 29898, 13073, 29922, 13073, 29892, 6389, 29922, 5085, 29892, 13, 462, 462, 462, 4706, 28907, 29922, 262, 8835, 29897, 13, 9651, 19995, 4619, 518, 29883, 565, 338, 8758, 29898, 29883, 29892, 18761, 29897, 1683, 313, 29883, 29892, 6213, 29897, 363, 274, 297, 13, 462, 4706, 7343, 29918, 5729, 29873, 1080, 29962, 13, 1678, 1683, 29901, 13, 4706, 363, 1828, 297, 12893, 29889, 6519, 29889, 657, 29918, 7529, 29898, 13073, 1125, 13, 9651, 565, 313, 13, 462, 1678, 13285, 29918, 13305, 29889, 8835, 29918, 6768, 470, 28907, 322, 451, 28907, 29961, 13, 462, 462, 462, 462, 462, 1678, 584, 29896, 1822, 275, 284, 1949, 3101, 322, 338, 8758, 29898, 13, 462, 1678, 1828, 29892, 10831, 1125, 13, 18884, 396, 4175, 7934, 2828, 29889, 8375, 13, 18884, 565, 679, 5552, 29898, 3207, 29892, 525, 10892, 742, 7700, 1125, 13, 462, 1678, 6773, 13, 18884, 363, 3523, 297, 1828, 29889, 25707, 29901, 13, 462, 1678, 565, 1993, 29898, 3670, 29892, 28907, 1125, 13, 462, 4706, 19995, 29889, 4397, 3552, 3670, 29892, 1828, 29889, 8477, 876, 13, 18884, 363, 3523, 297, 1828, 29889, 7496, 653, 29918, 25707, 29901, 13, 462, 1678, 565, 1993, 29898, 3670, 29892, 28907, 1125, 13, 462, 4706, 396, 1016, 29915, 29873, 1925, 278, 1574, 577, 9427, 2113, 29915, 29873, 2318, 278, 7601, 322, 13, 462, 4706, 396, 322, 16723, 3987, 13, 462, 4706, 19995, 29889, 4397, 3552, 3670, 29892, 6213, 876, 13, 4706, 565, 338, 8758, 29898, 13073, 29889, 6519, 29892, 14974, 6255, 1125, 13, 9651, 363, 1024, 297, 12893, 29889, 6519, 29889, 1761, 29918, 26381, 29898, 13073, 1125, 13, 18884, 565, 1993, 29898, 978, 29892, 28907, 1125, 13, 462, 1678, 19995, 29889, 4397, 29898, 13, 462, 4706, 313, 978, 29892, 12893, 29889, 6519, 29889, 657, 29918, 6519, 29918, 12759, 29918, 8477, 29898, 13073, 29892, 1024, 4961, 13, 13, 1678, 363, 2944, 29892, 1371, 297, 19995, 29901, 13, 4706, 7709, 313, 667, 29892, 1371, 29897, 13, 13, 13, 1753, 1601, 1989, 29918, 5041, 7295, 13, 1678, 1053, 2828, 29918, 5729, 12757, 13, 1678, 2828, 29918, 5729, 12757, 29889, 3221, 29889, 657, 29918, 1859, 1575, 353, 679, 29918, 1859, 1575, 13, 2 ]

server/game/action.py

artemb/zombie-plague

0

122477

from enum import Enum class Action: def __init__(self, ap): self.ap = ap class StepAction(Action): def __init__(self): super().__init__(1) def run(self, char, step): char.step(step) class TurnAction(Action): def __init__(self): super().__init__(1) def run(self, char, turn): char.turn(turn) class ActionType(Enum): STEP = 'STEP', StepAction() TURN = 'TURN', TurnAction() def __new__(cls, value, action=None): obj = object.__new__(cls) obj._value_ = value obj.action = action return obj class Turn(Enum): LEFT = 'LEFT' RIGHT = 'RIGHT' class Direction(Enum): UP = 'UP', (0, -1) DOWN = 'DOWN', (0, 1) RIGHT = 'RIGHT', (1, 0) LEFT = 'LEFT', (-1, 0) def __new__(cls, value, vector): obj = object.__new__(cls) obj._value_ = value obj.vector = vector return obj def turn(self, turn: Turn): if self == Direction.RIGHT: return Direction.UP if turn == Turn.LEFT else Direction.DOWN elif self == Direction.UP: return Direction.LEFT if turn == Turn.LEFT else Direction.RIGHT elif self == Direction.LEFT: return Direction.DOWN if turn == Turn.LEFT else Direction.UP elif self == Direction.DOWN: return Direction.RIGHT if turn == Turn.LEFT else Direction.LEFT class Step(Enum): FORWARD = 'FORWARD', 1 BACKWARD = 'BACKWARD', -1 def __new__(cls, value, modifier): obj = object.__new__(cls) obj._value_ = value obj.modifier = modifier return obj

[ 1, 515, 14115, 1053, 1174, 398, 13, 13, 13, 1990, 9123, 29901, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3095, 1125, 13, 4706, 1583, 29889, 481, 353, 3095, 13, 13, 13, 1990, 16696, 4276, 29898, 4276, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 13, 4706, 2428, 2141, 1649, 2344, 12035, 29896, 29897, 13, 13, 1678, 822, 1065, 29898, 1311, 29892, 1373, 29892, 4331, 1125, 13, 4706, 1373, 29889, 10568, 29898, 10568, 29897, 13, 13, 13, 1990, 9603, 4276, 29898, 4276, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 13, 4706, 2428, 2141, 1649, 2344, 12035, 29896, 29897, 13, 13, 1678, 822, 1065, 29898, 1311, 29892, 1373, 29892, 2507, 1125, 13, 4706, 1373, 29889, 685, 29898, 685, 29897, 13, 13, 13, 1990, 9123, 1542, 29898, 16854, 1125, 13, 1678, 317, 4330, 29925, 353, 525, 1254, 15488, 742, 16696, 4276, 580, 13, 1678, 323, 24015, 353, 525, 29911, 24015, 742, 9603, 4276, 580, 13, 13, 1678, 822, 4770, 1482, 12035, 25932, 29892, 995, 29892, 3158, 29922, 8516, 1125, 13, 4706, 5446, 353, 1203, 17255, 1482, 12035, 25932, 29897, 13, 4706, 5446, 3032, 1767, 29918, 353, 995, 13, 4706, 5446, 29889, 2467, 353, 3158, 13, 4706, 736, 5446, 13, 13, 13, 1990, 9603, 29898, 16854, 1125, 13, 1678, 19246, 353, 525, 28024, 29915, 13, 1678, 390, 22530, 353, 525, 22789, 3912, 29915, 13, 13, 13, 1990, 360, 8684, 29898, 16854, 1125, 13, 1678, 11901, 353, 525, 4897, 742, 313, 29900, 29892, 448, 29896, 29897, 13, 1678, 360, 9806, 29940, 353, 525, 3970, 16048, 742, 313, 29900, 29892, 29871, 29896, 29897, 13, 1678, 390, 22530, 353, 525, 22789, 3912, 742, 313, 29896, 29892, 29871, 29900, 29897, 13, 1678, 19246, 353, 525, 28024, 742, 8521, 29896, 29892, 29871, 29900, 29897, 13, 13, 1678, 822, 4770, 1482, 12035, 25932, 29892, 995, 29892, 4608, 1125, 13, 4706, 5446, 353, 1203, 17255, 1482, 12035, 25932, 29897, 13, 4706, 5446, 3032, 1767, 29918, 353, 995, 13, 4706, 5446, 29889, 8111, 353, 4608, 13, 4706, 736, 5446, 13, 13, 1678, 822, 2507, 29898, 1311, 29892, 2507, 29901, 9603, 1125, 13, 4706, 565, 1583, 1275, 360, 8684, 29889, 22789, 3912, 29901, 13, 9651, 736, 360, 8684, 29889, 4897, 565, 2507, 1275, 9603, 29889, 28024, 1683, 360, 8684, 29889, 3970, 16048, 13, 4706, 25342, 1583, 1275, 360, 8684, 29889, 4897, 29901, 13, 9651, 736, 360, 8684, 29889, 28024, 565, 2507, 1275, 9603, 29889, 28024, 1683, 360, 8684, 29889, 22789, 3912, 13, 4706, 25342, 1583, 1275, 360, 8684, 29889, 28024, 29901, 13, 9651, 736, 360, 8684, 29889, 3970, 16048, 565, 2507, 1275, 9603, 29889, 28024, 1683, 360, 8684, 29889, 4897, 13, 4706, 25342, 1583, 1275, 360, 8684, 29889, 3970, 16048, 29901, 13, 9651, 736, 360, 8684, 29889, 22789, 3912, 565, 2507, 1275, 9603, 29889, 28024, 1683, 360, 8684, 29889, 28024, 13, 13, 13, 1990, 16696, 29898, 16854, 1125, 13, 1678, 15842, 29956, 17011, 353, 525, 22051, 29956, 17011, 742, 29871, 29896, 13, 1678, 350, 11375, 29956, 17011, 353, 525, 29933, 11375, 29956, 17011, 742, 448, 29896, 13, 13, 1678, 822, 4770, 1482, 12035, 25932, 29892, 995, 29892, 878, 3709, 1125, 13, 4706, 5446, 353, 1203, 17255, 1482, 12035, 25932, 29897, 13, 4706, 5446, 3032, 1767, 29918, 353, 995, 13, 4706, 5446, 29889, 26625, 353, 878, 3709, 13, 4706, 736, 5446, 2 ]

src/astrolib/integration/euler.py

space-geek/integrationutils

0

150191

from typing import Callable from typing import Tuple from astrolib.base_objects import Matrix from astrolib.base_objects import TimeSpan def integrate(t_0: TimeSpan, X_0: Matrix, h: TimeSpan, dynamics_func: Callable[[TimeSpan, Matrix],Matrix]) -> Tuple[TimeSpan, Matrix, TimeSpan]: """ Function utilizes a first-order/Euler integration scheme to integrate the input state from the initial to the final epoch. Arguments: t_0 (TimeSpan) Epoch of the initial state. X_0 (Matrix) Initial state vector, in column matrix form. h (TimeSpan) Step size for integration step to take. dynamics_func ([Callable[TimeSpan, Matrix],Matrix]) State vector dynamics function. Returns: Tuple[TimeSpan, Matrix, TimeSpan] Tuple of the propagated state vector epoch, the propagated state vector, and the step size taken. """ return t_0 + h, X_0 + h.to_seconds() * dynamics_func(t_0, X_0), h

[ 1, 515, 19229, 1053, 8251, 519, 13, 3166, 19229, 1053, 12603, 552, 13, 13, 3166, 8717, 307, 1982, 29889, 3188, 29918, 12650, 1053, 22513, 13, 3166, 8717, 307, 1982, 29889, 3188, 29918, 12650, 1053, 5974, 15495, 13, 13, 13, 1753, 22782, 29898, 29873, 29918, 29900, 29901, 5974, 15495, 29892, 1060, 29918, 29900, 29901, 22513, 29892, 298, 29901, 5974, 15495, 29892, 19753, 29918, 9891, 29901, 8251, 519, 8999, 2481, 15495, 29892, 22513, 1402, 14609, 2314, 1599, 12603, 552, 29961, 2481, 15495, 29892, 22513, 29892, 5974, 15495, 5387, 13, 1678, 9995, 6680, 3667, 7093, 263, 937, 29899, 2098, 29914, 29923, 8584, 13465, 11380, 304, 22782, 13, 4706, 278, 1881, 2106, 515, 278, 2847, 304, 278, 2186, 21502, 305, 29889, 13, 13, 1678, 11842, 9331, 29901, 13, 4706, 260, 29918, 29900, 313, 2481, 15495, 29897, 462, 462, 418, 382, 1129, 305, 310, 278, 2847, 2106, 29889, 13, 4706, 1060, 29918, 29900, 313, 14609, 29897, 462, 462, 4706, 17250, 2106, 4608, 29892, 297, 1897, 4636, 883, 29889, 13, 4706, 298, 313, 2481, 15495, 29897, 462, 462, 4706, 16696, 2159, 363, 13465, 4331, 304, 2125, 29889, 13, 4706, 19753, 29918, 9891, 9310, 5594, 519, 29961, 2481, 15495, 29892, 22513, 1402, 14609, 2314, 4306, 4608, 19753, 740, 29889, 13, 13, 1678, 16969, 29901, 13, 4706, 12603, 552, 29961, 2481, 15495, 29892, 22513, 29892, 5974, 15495, 29962, 462, 259, 12603, 552, 310, 278, 13089, 630, 2106, 4608, 21502, 305, 29892, 278, 13, 462, 462, 462, 9651, 13089, 630, 2106, 4608, 29892, 322, 278, 4331, 2159, 4586, 29889, 13, 1678, 9995, 13, 1678, 736, 260, 29918, 29900, 718, 298, 29892, 1060, 29918, 29900, 718, 298, 29889, 517, 29918, 23128, 580, 334, 19753, 29918, 9891, 29898, 29873, 29918, 29900, 29892, 1060, 29918, 29900, 511, 298, 13, 2 ]

tests/test_sqlite_joins.py

WinVector/data_algebra

37

191720

import numpy import data_algebra import data_algebra.test_util import data_algebra.util from data_algebra.data_ops import * import data_algebra.SQLite import data_algebra.MySQL direct_test_sqlite = False def test_sqlite_joins_left_to_right(): sqlite_handle = None if direct_test_sqlite: sqlite_handle = data_algebra.SQLite.example_handle() # No none keys, as they treat missingness different # in Pandas and databases d1 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['a', 'a', 'b', 'b', 'b'], 'v1': [1, None, 3, 4, None], 'v2': [None, 1, 2, 7, 8], }) d2 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['c', 'b', 'b'], 'v1': [None, 1, None], 'v2': [1, None, 2], }) ops_1 = descr(d1=d1).natural_join(b=descr(d2=d2), by=['g'], jointype='left') expect_1 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['a', 'a', 'b', 'b', 'b', 'b', 'b', 'b'], 'v1': [1.0, None, 3.0, 3.0, 4.0, 4.0, 1.0, None], 'v2': [None, 1.0, 2.0, 2.0, 7.0, 7.0, 8.0, 8.0], }) res_1 = ops_1.eval({'d1': d1, 'd2': d2}) assert data_algebra.test_util.equivalent_frames(res_1, expect_1) if direct_test_sqlite: print(sqlite_handle.to_sql(ops_1)) data_algebra.test_util.check_transform( ops=ops_1, data={'d1': d1, 'd2': d2}, expect=expect_1, models_to_skip={str(data_algebra.MySQL.MySQLModel())},) ops_2 = descr(d1=d1).natural_join(b=descr(d2=d2), by=['g'], jointype='right') expect_2 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['c', 'b', 'b', 'b', 'b', 'b', 'b'], 'v1': [None, 3.0, 4.0, 1.0, 3.0, 4.0, None], 'v2': [1.0, 2.0, 7.0, 8.0, 2.0, 7.0, 8.0], }) res_2 = ops_2.eval({'d1': d1, 'd2': d2}) assert data_algebra.test_util.equivalent_frames(res_2, expect_2) if direct_test_sqlite: print(sqlite_handle.to_sql(ops_2)) data_algebra.test_util.check_transform( ops=ops_2, data={'d1': d1, 'd2': d2}, expect=expect_2, models_to_skip={str(data_algebra.MySQL.MySQLModel())},) # check test is strong enough assert not data_algebra.test_util.equivalent_frames(expect_1, expect_2) # naive reversal (interferes with coalesce) ops_n = descr(d2=d2).natural_join(b=descr(d1=d1), by=['g'], jointype='left') res_n = ops_n.eval({'d1': d1, 'd2': d2}) assert not data_algebra.test_util.equivalent_frames(res_n, expect_1) assert not data_algebra.test_util.equivalent_frames(res_n, expect_2) if sqlite_handle is not None: sqlite_handle.close() def test_sqlite_joins_simulate_full_join(): sqlite_handle = None if direct_test_sqlite: sqlite_handle = data_algebra.SQLite.example_handle() d1 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['a', 'a', 'b', 'b', 'b'], 'v1': [1, None, 3, 4, None], 'v2': [None, 1, None, 7, 8], }) d2 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['c', 'b', 'b'], 'v1': [None, 1, None], 'v2': [1, None, 2], }) join_columns = ['g'] ops = ( descr(d1=d1) .natural_join( b=descr(d2=d2), by=join_columns, jointype='full') ) res_pandas = ops.eval({'d1': d1, 'd2': d2}) if direct_test_sqlite: print(sqlite_handle.to_sql(ops)) data_algebra.test_util.check_transform( ops=ops, data={'d1': d1, 'd2': d2}, expect=res_pandas, models_to_skip={str(data_algebra.MySQL.MySQLModel())},) ops_simulate = ( # get shared key set descr(d1=d1) .project({}, group_by=join_columns) .concat_rows( b=descr(d2=d2) .project({}, group_by=join_columns), id_column=None, ) .project({}, group_by=join_columns) # simulate full join with left joins .natural_join( b=descr(d1=d1), by=join_columns, jointype='left') .natural_join( b=descr(d2=d2), by=join_columns, jointype='left') ) data_algebra.test_util.check_transform( ops=ops_simulate, data={'d1': d1, 'd2': d2}, expect=res_pandas, models_to_skip={str(data_algebra.MySQL.MySQLModel())},) if sqlite_handle is not None: sqlite_handle.close() def test_sqlite_joins_staged(): sqlite_handle = None if direct_test_sqlite: sqlite_handle = data_algebra.SQLite.example_handle() d1 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['a', 'a', 'b', 'b', 'b'], 'v1': [1, None, 3, 4, None], 'v2': [None, 1, None, 7, 8], }) d2 = data_algebra.default_data_model.pd.DataFrame({ 'g': ['c', 'b', 'b'], 'v1': [None, 1, None], 'v2': [1, None, 2], }) join_columns = ['g'] ops = ( descr(d1=d1) .extend({'v1': 'v1 * v1'}) .natural_join( b=( descr(d2=d2) .extend({'v2': 'v2 + v2'})), by=join_columns, jointype='full') ) res_pandas = ops.eval({'d1': d1, 'd2': d2}) if direct_test_sqlite: print(sqlite_handle.to_sql(ops)) data_algebra.test_util.check_transform( ops=ops, data={'d1': d1, 'd2': d2}, expect=res_pandas, models_to_skip={str(data_algebra.MySQL.MySQLModel())}, ) if sqlite_handle is not None: sqlite_handle.close()

[ 1, 29871, 13, 5215, 12655, 13, 13, 5215, 848, 29918, 15742, 13, 5215, 848, 29918, 15742, 29889, 1688, 29918, 4422, 13, 5215, 848, 29918, 15742, 29889, 4422, 13, 3166, 848, 29918, 15742, 29889, 1272, 29918, 3554, 1053, 334, 13, 5215, 848, 29918, 15742, 29889, 4176, 568, 13, 5215, 848, 29918, 15742, 29889, 3421, 4176, 13, 13, 11851, 29918, 1688, 29918, 22793, 353, 7700, 13, 13, 13, 1753, 1243, 29918, 22793, 29918, 2212, 1144, 29918, 1563, 29918, 517, 29918, 1266, 7295, 13, 1678, 21120, 29918, 8411, 353, 6213, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 21120, 29918, 8411, 353, 848, 29918, 15742, 29889, 4176, 568, 29889, 4773, 29918, 8411, 580, 13, 13, 1678, 396, 1939, 5642, 6611, 29892, 408, 896, 7539, 4567, 2264, 1422, 13, 1678, 396, 297, 349, 7086, 322, 21218, 13, 1678, 270, 29896, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29874, 742, 525, 29874, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 29896, 29892, 6213, 29892, 29871, 29941, 29892, 29871, 29946, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 8516, 29892, 29871, 29896, 29892, 29871, 29906, 29892, 29871, 29955, 29892, 29871, 29947, 1402, 13, 1678, 5615, 13, 13, 1678, 270, 29906, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29883, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 8516, 29892, 29871, 29896, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 29896, 29892, 6213, 29892, 29871, 29906, 1402, 13, 1678, 5615, 13, 13, 1678, 288, 567, 29918, 29896, 353, 5153, 29878, 29898, 29881, 29896, 29922, 29881, 29896, 467, 25047, 29918, 7122, 29898, 29890, 29922, 2783, 7283, 29898, 29881, 29906, 29922, 29881, 29906, 511, 491, 29922, 1839, 29887, 7464, 14002, 668, 2433, 1563, 1495, 13, 1678, 2149, 29918, 29896, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29874, 742, 525, 29874, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 29896, 29889, 29900, 29892, 6213, 29892, 29871, 29941, 29889, 29900, 29892, 29871, 29941, 29889, 29900, 29892, 29871, 29946, 29889, 29900, 29892, 29871, 29946, 29889, 29900, 29892, 29871, 29896, 29889, 29900, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 8516, 29892, 29871, 29896, 29889, 29900, 29892, 29871, 29906, 29889, 29900, 29892, 29871, 29906, 29889, 29900, 29892, 29871, 29955, 29889, 29900, 29892, 29871, 29955, 29889, 29900, 29892, 29871, 29947, 29889, 29900, 29892, 29871, 29947, 29889, 29900, 1402, 13, 4706, 5615, 13, 1678, 620, 29918, 29896, 353, 288, 567, 29918, 29896, 29889, 14513, 3319, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1800, 13, 1678, 4974, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 1686, 27445, 29918, 19935, 29898, 690, 29918, 29896, 29892, 2149, 29918, 29896, 29897, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 1596, 29898, 22793, 29918, 8411, 29889, 517, 29918, 2850, 29898, 3554, 29918, 29896, 876, 13, 1678, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 3198, 29918, 9067, 29898, 13, 4706, 288, 567, 29922, 3554, 29918, 29896, 29892, 13, 4706, 848, 3790, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1118, 13, 4706, 2149, 29922, 17854, 29918, 29896, 29892, 13, 4706, 4733, 29918, 517, 29918, 11014, 3790, 710, 29898, 1272, 29918, 15742, 29889, 3421, 4176, 29889, 3421, 4176, 3195, 3101, 1118, 29897, 13, 13, 1678, 288, 567, 29918, 29906, 353, 5153, 29878, 29898, 29881, 29896, 29922, 29881, 29896, 467, 25047, 29918, 7122, 29898, 29890, 29922, 2783, 7283, 29898, 29881, 29906, 29922, 29881, 29906, 511, 491, 29922, 1839, 29887, 7464, 14002, 668, 2433, 1266, 1495, 13, 1678, 2149, 29918, 29906, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29883, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 8516, 29892, 29871, 29941, 29889, 29900, 29892, 29871, 29946, 29889, 29900, 29892, 29871, 29896, 29889, 29900, 29892, 29871, 29941, 29889, 29900, 29892, 29871, 29946, 29889, 29900, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 29896, 29889, 29900, 29892, 29871, 29906, 29889, 29900, 29892, 29871, 29955, 29889, 29900, 29892, 29871, 29947, 29889, 29900, 29892, 29871, 29906, 29889, 29900, 29892, 29871, 29955, 29889, 29900, 29892, 29871, 29947, 29889, 29900, 1402, 13, 4706, 5615, 13, 1678, 620, 29918, 29906, 353, 288, 567, 29918, 29906, 29889, 14513, 3319, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1800, 13, 1678, 4974, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 1686, 27445, 29918, 19935, 29898, 690, 29918, 29906, 29892, 2149, 29918, 29906, 29897, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 1596, 29898, 22793, 29918, 8411, 29889, 517, 29918, 2850, 29898, 3554, 29918, 29906, 876, 13, 1678, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 3198, 29918, 9067, 29898, 13, 4706, 288, 567, 29922, 3554, 29918, 29906, 29892, 13, 4706, 848, 3790, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1118, 13, 4706, 2149, 29922, 17854, 29918, 29906, 29892, 13, 4706, 4733, 29918, 517, 29918, 11014, 3790, 710, 29898, 1272, 29918, 15742, 29889, 3421, 4176, 29889, 3421, 4176, 3195, 3101, 1118, 29897, 13, 13, 1678, 396, 1423, 1243, 338, 4549, 3307, 13, 1678, 4974, 451, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 1686, 27445, 29918, 19935, 29898, 17854, 29918, 29896, 29892, 2149, 29918, 29906, 29897, 13, 13, 1678, 396, 1055, 573, 18764, 284, 313, 1639, 571, 267, 411, 1302, 2122, 346, 29897, 13, 1678, 288, 567, 29918, 29876, 353, 5153, 29878, 29898, 29881, 29906, 29922, 29881, 29906, 467, 25047, 29918, 7122, 29898, 29890, 29922, 2783, 7283, 29898, 29881, 29896, 29922, 29881, 29896, 511, 491, 29922, 1839, 29887, 7464, 14002, 668, 2433, 1563, 1495, 13, 1678, 620, 29918, 29876, 353, 288, 567, 29918, 29876, 29889, 14513, 3319, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1800, 13, 1678, 4974, 451, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 1686, 27445, 29918, 19935, 29898, 690, 29918, 29876, 29892, 2149, 29918, 29896, 29897, 13, 1678, 4974, 451, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 1686, 27445, 29918, 19935, 29898, 690, 29918, 29876, 29892, 2149, 29918, 29906, 29897, 13, 13, 1678, 565, 21120, 29918, 8411, 338, 451, 6213, 29901, 13, 4706, 21120, 29918, 8411, 29889, 5358, 580, 13, 13, 13, 1753, 1243, 29918, 22793, 29918, 2212, 1144, 29918, 3601, 5987, 29918, 8159, 29918, 7122, 7295, 13, 1678, 21120, 29918, 8411, 353, 6213, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 21120, 29918, 8411, 353, 848, 29918, 15742, 29889, 4176, 568, 29889, 4773, 29918, 8411, 580, 13, 13, 1678, 270, 29896, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29874, 742, 525, 29874, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 29896, 29892, 6213, 29892, 29871, 29941, 29892, 29871, 29946, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 8516, 29892, 29871, 29896, 29892, 6213, 29892, 29871, 29955, 29892, 29871, 29947, 1402, 13, 1678, 5615, 13, 13, 1678, 270, 29906, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29883, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 8516, 29892, 29871, 29896, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 29896, 29892, 6213, 29892, 29871, 29906, 1402, 13, 1678, 5615, 13, 13, 1678, 5988, 29918, 13099, 353, 6024, 29887, 2033, 13, 13, 1678, 288, 567, 353, 313, 13, 4706, 5153, 29878, 29898, 29881, 29896, 29922, 29881, 29896, 29897, 13, 9651, 869, 25047, 29918, 7122, 29898, 13, 9651, 289, 29922, 2783, 7283, 29898, 29881, 29906, 29922, 29881, 29906, 511, 13, 9651, 491, 29922, 7122, 29918, 13099, 29892, 13, 9651, 14002, 668, 2433, 8159, 1495, 13, 1678, 1723, 13, 13, 1678, 620, 29918, 15112, 353, 288, 567, 29889, 14513, 3319, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1800, 13, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 1596, 29898, 22793, 29918, 8411, 29889, 517, 29918, 2850, 29898, 3554, 876, 13, 13, 1678, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 3198, 29918, 9067, 29898, 13, 4706, 288, 567, 29922, 3554, 29892, 13, 4706, 848, 3790, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1118, 13, 4706, 2149, 29922, 690, 29918, 15112, 29892, 13, 4706, 4733, 29918, 517, 29918, 11014, 3790, 710, 29898, 1272, 29918, 15742, 29889, 3421, 4176, 29889, 3421, 4176, 3195, 3101, 1118, 29897, 13, 13, 1678, 288, 567, 29918, 3601, 5987, 353, 313, 13, 4706, 396, 679, 7258, 1820, 731, 13, 4706, 5153, 29878, 29898, 29881, 29896, 29922, 29881, 29896, 29897, 13, 9651, 869, 4836, 3319, 1118, 2318, 29918, 1609, 29922, 7122, 29918, 13099, 29897, 13, 18884, 869, 17685, 29918, 5727, 29898, 13, 18884, 289, 29922, 2783, 7283, 29898, 29881, 29906, 29922, 29881, 29906, 29897, 13, 462, 1678, 869, 4836, 3319, 1118, 2318, 29918, 1609, 29922, 7122, 29918, 13099, 511, 13, 18884, 1178, 29918, 4914, 29922, 8516, 29892, 13, 9651, 1723, 13, 9651, 869, 4836, 3319, 1118, 2318, 29918, 1609, 29922, 7122, 29918, 13099, 29897, 13, 9651, 396, 29611, 2989, 5988, 411, 2175, 26205, 13, 9651, 869, 25047, 29918, 7122, 29898, 13, 18884, 289, 29922, 2783, 7283, 29898, 29881, 29896, 29922, 29881, 29896, 511, 13, 18884, 491, 29922, 7122, 29918, 13099, 29892, 13, 18884, 14002, 668, 2433, 1563, 1495, 13, 9651, 869, 25047, 29918, 7122, 29898, 13, 18884, 289, 29922, 2783, 7283, 29898, 29881, 29906, 29922, 29881, 29906, 511, 13, 18884, 491, 29922, 7122, 29918, 13099, 29892, 13, 18884, 14002, 668, 2433, 1563, 1495, 13, 1678, 1723, 13, 13, 1678, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 3198, 29918, 9067, 29898, 13, 4706, 288, 567, 29922, 3554, 29918, 3601, 5987, 29892, 13, 4706, 848, 3790, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1118, 13, 4706, 2149, 29922, 690, 29918, 15112, 29892, 13, 4706, 4733, 29918, 517, 29918, 11014, 3790, 710, 29898, 1272, 29918, 15742, 29889, 3421, 4176, 29889, 3421, 4176, 3195, 3101, 1118, 29897, 13, 13, 1678, 565, 21120, 29918, 8411, 338, 451, 6213, 29901, 13, 4706, 21120, 29918, 8411, 29889, 5358, 580, 13, 13, 13, 1753, 1243, 29918, 22793, 29918, 2212, 1144, 29918, 303, 4063, 7295, 13, 1678, 21120, 29918, 8411, 353, 6213, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 21120, 29918, 8411, 353, 848, 29918, 15742, 29889, 4176, 568, 29889, 4773, 29918, 8411, 580, 13, 13, 1678, 270, 29896, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29874, 742, 525, 29874, 742, 525, 29890, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 29896, 29892, 6213, 29892, 29871, 29941, 29892, 29871, 29946, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 8516, 29892, 29871, 29896, 29892, 6213, 29892, 29871, 29955, 29892, 29871, 29947, 1402, 13, 1678, 5615, 13, 13, 1678, 270, 29906, 353, 848, 29918, 15742, 29889, 4381, 29918, 1272, 29918, 4299, 29889, 15926, 29889, 17271, 3319, 13, 4706, 525, 29887, 2396, 6024, 29883, 742, 525, 29890, 742, 525, 29890, 7464, 13, 4706, 525, 29894, 29896, 2396, 518, 8516, 29892, 29871, 29896, 29892, 6213, 1402, 13, 4706, 525, 29894, 29906, 2396, 518, 29896, 29892, 6213, 29892, 29871, 29906, 1402, 13, 1678, 5615, 13, 13, 1678, 5988, 29918, 13099, 353, 6024, 29887, 2033, 13, 13, 1678, 288, 567, 353, 313, 13, 4706, 5153, 29878, 29898, 29881, 29896, 29922, 29881, 29896, 29897, 13, 9651, 869, 21843, 3319, 29915, 29894, 29896, 2396, 525, 29894, 29896, 334, 325, 29896, 29915, 1800, 13, 9651, 869, 25047, 29918, 7122, 29898, 13, 18884, 289, 7607, 13, 462, 1678, 5153, 29878, 29898, 29881, 29906, 29922, 29881, 29906, 29897, 13, 462, 4706, 869, 21843, 3319, 29915, 29894, 29906, 2396, 525, 29894, 29906, 718, 325, 29906, 29915, 1800, 511, 13, 18884, 491, 29922, 7122, 29918, 13099, 29892, 13, 18884, 14002, 668, 2433, 8159, 1495, 13, 1678, 1723, 13, 13, 1678, 620, 29918, 15112, 353, 288, 567, 29889, 14513, 3319, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1800, 13, 13, 1678, 565, 1513, 29918, 1688, 29918, 22793, 29901, 13, 4706, 1596, 29898, 22793, 29918, 8411, 29889, 517, 29918, 2850, 29898, 3554, 876, 13, 13, 1678, 848, 29918, 15742, 29889, 1688, 29918, 4422, 29889, 3198, 29918, 9067, 29898, 13, 4706, 288, 567, 29922, 3554, 29892, 13, 4706, 848, 3790, 29915, 29881, 29896, 2396, 270, 29896, 29892, 525, 29881, 29906, 2396, 270, 29906, 1118, 13, 4706, 2149, 29922, 690, 29918, 15112, 29892, 13, 4706, 4733, 29918, 517, 29918, 11014, 3790, 710, 29898, 1272, 29918, 15742, 29889, 3421, 4176, 29889, 3421, 4176, 3195, 3101, 1118, 1723, 13, 13, 1678, 565, 21120, 29918, 8411, 338, 451, 6213, 29901, 13, 4706, 21120, 29918, 8411, 29889, 5358, 580, 13, 2 ]

pytreex/block/t2a/cs/addreflexiveparticles.py

leotilli/pytreex

11

132246

<reponame>leotilli/pytreex<filename>pytreex/block/t2a/cs/addreflexiveparticles.py #!/usr/bin/env python # coding=utf-8 # # A Treex block # from __future__ import unicode_literals from pytreex.core.block import Block from pytreex.core.exception import LoadingException import re __author__ = "<NAME>" __date__ = "2012" class AddReflexiveParticles(Block): """ Add reflexive particles to reflexiva tantum and reflexive passive verbs. Arguments: language: the language of the target tree selector: the selector of the target tree """ def __init__(self, scenario, args): "Constructor, just checking the argument values" Block.__init__(self, scenario, args) if self.language is None: raise LoadingException('Language must be defined!') def process_tnode(self, tnode): "Add reflexive particle to a node, if applicable." tantum_match = re.search(r'_(s[ei])$', tnode.t_lemma) # reflexiva tantum if tantum_match: refl_form = tantum_match.group(1) afun = 'AuxT' # reflexive passive elif tnode.voice == 'reflexive_diathesis' or \ tnode.gram_diathesis == 'deagent': refl_form = 'se' afun = 'AuxR' # no particle to add else: return # add the particle anode = tnode.lex_anode refl_node = anode.create_child() refl_node.form = refl_form refl_node.afun = afun refl_node.lemma = refl_form refl_node.morphcat_pos = 'P' refl_node.morphcat_subpos = '7' refl_node.morphcat_number = 'X' refl_node.morphcat_case = refl_form == 'si' and '3' or '4' # to be moved to Wackernagel position later refl_node.shift_after_node(anode) # add auxiliary link tnode.add_aux_anodes(refl_node)

[ 1, 529, 276, 1112, 420, 29958, 280, 327, 12840, 29914, 2272, 2484, 735, 29966, 9507, 29958, 2272, 2484, 735, 29914, 1271, 29914, 29873, 29906, 29874, 29914, 2395, 29914, 1202, 999, 2506, 573, 1595, 4027, 29889, 2272, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 14137, 29922, 9420, 29899, 29947, 13, 29937, 13, 29937, 319, 6479, 735, 2908, 13, 29937, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 3166, 11451, 2484, 735, 29889, 3221, 29889, 1271, 1053, 15658, 13, 3166, 11451, 2484, 735, 29889, 3221, 29889, 11739, 1053, 4309, 9382, 2451, 13, 5215, 337, 13, 13, 1649, 8921, 1649, 353, 9872, 5813, 11903, 13, 1649, 1256, 1649, 353, 376, 29906, 29900, 29896, 29906, 29908, 13, 13, 13, 1990, 3462, 5620, 2506, 573, 7439, 4027, 29898, 7445, 1125, 13, 1678, 9995, 13, 1678, 3462, 2143, 2506, 573, 17105, 304, 2143, 2506, 4244, 11172, 398, 322, 2143, 2506, 573, 1209, 573, 1147, 5824, 29889, 13, 13, 1678, 11842, 9331, 29901, 13, 4706, 4086, 29901, 278, 4086, 310, 278, 3646, 5447, 13, 4706, 11764, 29901, 278, 11764, 310, 278, 3646, 5447, 13, 1678, 9995, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 10483, 29892, 6389, 1125, 13, 4706, 376, 23770, 29892, 925, 8454, 278, 2980, 1819, 29908, 13, 4706, 15658, 17255, 2344, 12035, 1311, 29892, 10483, 29892, 6389, 29897, 13, 4706, 565, 1583, 29889, 11675, 338, 6213, 29901, 13, 9651, 12020, 4309, 9382, 2451, 877, 21233, 1818, 367, 3342, 29991, 1495, 13, 13, 1678, 822, 1889, 29918, 29873, 3177, 29898, 1311, 29892, 260, 3177, 1125, 13, 4706, 376, 2528, 2143, 2506, 573, 16445, 304, 263, 2943, 29892, 565, 22903, 1213, 13, 4706, 11172, 398, 29918, 4352, 353, 337, 29889, 4478, 29898, 29878, 15972, 29898, 29879, 29961, 10096, 29962, 1262, 742, 260, 3177, 29889, 29873, 29918, 13846, 29897, 13, 4706, 396, 2143, 2506, 4244, 11172, 398, 13, 4706, 565, 11172, 398, 29918, 4352, 29901, 13, 9651, 337, 1579, 29918, 689, 353, 11172, 398, 29918, 4352, 29889, 2972, 29898, 29896, 29897, 13, 9651, 2511, 348, 353, 525, 29909, 1314, 29911, 29915, 13, 4706, 396, 2143, 2506, 573, 1209, 573, 13, 4706, 25342, 260, 3177, 29889, 14917, 1275, 525, 999, 2506, 573, 29918, 6051, 493, 6656, 29915, 470, 320, 13, 18884, 260, 3177, 29889, 1393, 29918, 6051, 493, 6656, 1275, 525, 311, 14748, 2396, 13, 9651, 337, 1579, 29918, 689, 353, 525, 344, 29915, 13, 9651, 2511, 348, 353, 525, 29909, 1314, 29934, 29915, 13, 4706, 396, 694, 16445, 304, 788, 13, 4706, 1683, 29901, 13, 9651, 736, 13, 4706, 396, 788, 278, 16445, 13, 4706, 385, 356, 353, 260, 3177, 29889, 2506, 29918, 273, 356, 13, 4706, 337, 1579, 29918, 3177, 353, 385, 356, 29889, 3258, 29918, 5145, 580, 13, 4706, 337, 1579, 29918, 3177, 29889, 689, 353, 337, 1579, 29918, 689, 13, 4706, 337, 1579, 29918, 3177, 29889, 2142, 348, 353, 2511, 348, 13, 4706, 337, 1579, 29918, 3177, 29889, 13846, 353, 337, 1579, 29918, 689, 13, 4706, 337, 1579, 29918, 3177, 29889, 29885, 5676, 4117, 29918, 1066, 353, 525, 29925, 29915, 13, 4706, 337, 1579, 29918, 3177, 29889, 29885, 5676, 4117, 29918, 1491, 1066, 353, 525, 29955, 29915, 13, 4706, 337, 1579, 29918, 3177, 29889, 29885, 5676, 4117, 29918, 4537, 353, 525, 29990, 29915, 13, 4706, 337, 1579, 29918, 3177, 29889, 29885, 5676, 4117, 29918, 4878, 353, 337, 1579, 29918, 689, 1275, 525, 1039, 29915, 322, 525, 29941, 29915, 470, 525, 29946, 29915, 13, 4706, 396, 304, 367, 6153, 304, 399, 547, 824, 351, 295, 2602, 2678, 13, 4706, 337, 1579, 29918, 3177, 29889, 10889, 29918, 7045, 29918, 3177, 29898, 273, 356, 29897, 13, 4706, 396, 788, 29587, 653, 1544, 13, 4706, 260, 3177, 29889, 1202, 29918, 2993, 29918, 273, 2631, 29898, 999, 29880, 29918, 3177, 29897, 13, 2 ]

src/wissenslandkarte/settings.py

Mattan-Qwer/test1

1

78584

""" Django settings for wissenslandkarte project. Generated by 'django-admin startproject' using Django 3.1.7. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ from pathlib import Path from django.core.management.utils import get_random_secret_key import pickle import os import json # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/ DEBUG_FILE = BASE_DIR.joinpath("./data/ACTIVATE_DEBUG_MODE") # If you want to debug; create a file in the directory indicated above. DEBUG = DEBUG_FILE.exists() ENABLE_LIVE_JS = DEBUG and False # this allows to use {% if debug %} in django templates. INTERNAL_IPS = ['127.0.0.1', '::1'] SECRET_KEY_FILE = BASE_DIR.joinpath("./data/django-secret-key.pickle") def load_or_create_secret_key() -> str: # TODO we might want to record hostname and time of the secret creation in this pickle, to allow us to recognize if # it becomes a constant during docker builds. Also, we might want to delete/recreate it explicitly during # first startup. try: secret = pickle.load(open(SECRET_KEY_FILE, "rb")) return secret except FileNotFoundError: secret = get_random_secret_key() pickle.dump(secret, open(SECRET_KEY_FILE, "wb")) return secret SECRET_KEY = load_or_create_secret_key() ALLOWED_HOSTS = [ 'localhost', '127.0.0.1', '[::1]', 'python', # 'wissenslandkarte.betre<EMAIL>', ] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', # https://docs.djangoproject.com/en/3.2/ref/contrib/admin/ 'django.contrib.auth', # https://docs.djangoproject.com/en/3.2/ref/contrib/auth/ 'django.contrib.contenttypes', # https://docs.djangoproject.com/en/3.2/ref/contrib/contenttypes/ 'django.contrib.sessions', # https://docs.djangoproject.com/en/3.2/topics/http/sessions/ 'django.contrib.messages', # https://docs.djangoproject.com/en/3.2/ref/contrib/messages/ 'django.contrib.staticfiles', # https://docs.djangoproject.com/en/3.2/ref/contrib/staticfiles/ 'fontawesome_5', 'api', 'compliance', 'web_homepage', 'accounts', ] MIDDLEWARE = [ 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', # TODO both of these are not active for static files, and have to be configured in nginx again. # this applies especially to: # * CSP on static html files that are served to be displayed # * User Uploads, e.g. images. # * HSTS on every ressource. 'django.middleware.security.SecurityMiddleware', 'csp.middleware.CSPMiddleware', ] ROOT_URLCONF = 'wissenslandkarte.urls' AUTH_USER_MODEL = "accounts.User" TEMPLATES = [ { 'BACKEND': 'django.template.backends.jinja2.Jinja2', 'DIRS': ["jinja-templates"], 'APP_DIRS': True, 'OPTIONS': { 'environment': 'web_homepage.jinja.environment' }, }, { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': ["templates"], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'wissenslandkarte.wsgi.application' # Database # https://docs.djangoproject.com/en/3.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': BASE_DIR / 'data' / 'db.sqlite3', } } # Password validation # https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { # TODO we should use a german list for our target group, however, these are difficult to find. # Use Duden, given names, surnames, sports clubs and qwertz-Keywalks? # https://docs.djangoproject.com/en/3.1/topics/auth/passwords/#password-validation 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', # 'password_list_path' : '...' # This file should contain one lowercase password per line and may be plain text or gzipped. }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.1/howto/static-files/ STATIC_URL = '/static/' # STATICFILES_DIRS = ["static"] STATIC_ROOT = os.getenv("COLLECTSTATIC_DIR", None) # TODO decide how to handle development environments. # SECURE_HSTS_SECONDS = 0 # TODO # [Vue warn]: It seems you are using the standalone build of Vue.js in an environment with Content Security Policy # that prohibits unsafe-eval. The template compiler cannot work in this environment. Consider relaxing the policy to # allow unsafe-eval or pre-compiling your templates into render functions. CSP_DEFAULT_SRC = ("'self'", "'unsafe-eval'") CSP_IMG_SRC = ("'self'", "https://betreiberverein.de") if DEBUG: # this is required for live.js. CSP_DEFAULT_SRC = ("'self'", "'unsafe-inline'", "'unsafe-eval'") CSP_SCRIPT_SRC = ("'self'", "'unsafe-inline'", "'unsafe-eval'") if not DEBUG: # This should only be enabled from certain docker container builds, due to a quota; and should be configurable by the admin. # CSP_REPORT_URI = "https://p.report-uri.com/r/d/csp/enforce" pass # CSP_REPORT_TO = "default"

[ 1, 9995, 13, 29928, 5364, 6055, 363, 281, 790, 575, 1049, 5689, 371, 2060, 29889, 13, 13, 24565, 491, 525, 14095, 29899, 6406, 1369, 4836, 29915, 773, 15337, 29871, 29941, 29889, 29896, 29889, 29955, 29889, 13, 13, 2831, 901, 2472, 373, 445, 934, 29892, 1074, 13, 991, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 3332, 1199, 29914, 11027, 29914, 13, 13, 2831, 278, 2989, 1051, 310, 6055, 322, 1009, 1819, 29892, 1074, 13, 991, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 999, 29914, 11027, 29914, 13, 15945, 29908, 13, 13, 3166, 2224, 1982, 1053, 10802, 13, 3166, 9557, 29889, 3221, 29889, 21895, 29889, 13239, 1053, 679, 29918, 8172, 29918, 19024, 29918, 1989, 13, 5215, 5839, 280, 13, 5215, 2897, 13, 5215, 4390, 13, 13, 29937, 8878, 10898, 2768, 278, 2060, 763, 445, 29901, 350, 8127, 29918, 9464, 847, 525, 1491, 3972, 4286, 13, 25416, 29918, 9464, 353, 10802, 22168, 1445, 1649, 467, 17863, 2141, 3560, 29889, 3560, 13, 13, 29937, 26141, 29899, 2962, 5849, 6055, 448, 443, 2146, 8270, 363, 5802, 13, 29937, 2823, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 3525, 517, 29914, 16519, 358, 29914, 3198, 1761, 29914, 13, 13, 18525, 29918, 7724, 353, 350, 8127, 29918, 9464, 29889, 7122, 2084, 703, 6904, 1272, 29914, 17923, 5667, 3040, 29918, 18525, 29918, 20387, 1159, 13, 29937, 960, 366, 864, 304, 4744, 29936, 1653, 263, 934, 297, 278, 3884, 18694, 2038, 29889, 13, 18525, 353, 21681, 29918, 7724, 29889, 9933, 580, 13, 1430, 6181, 29918, 5265, 12064, 29918, 8700, 353, 21681, 322, 7700, 13, 29937, 445, 6511, 304, 671, 18674, 565, 4744, 15493, 297, 9557, 17475, 29889, 13, 23845, 29940, 1964, 29918, 5690, 29903, 353, 6024, 29896, 29906, 29955, 29889, 29900, 29889, 29900, 29889, 29896, 742, 525, 1057, 29896, 2033, 13, 13, 1660, 22245, 29911, 29918, 10818, 29918, 7724, 353, 350, 8127, 29918, 9464, 29889, 7122, 2084, 703, 6904, 1272, 29914, 14095, 29899, 19024, 29899, 1989, 29889, 23945, 280, 1159, 13, 13, 13, 1753, 2254, 29918, 272, 29918, 3258, 29918, 19024, 29918, 1989, 580, 1599, 851, 29901, 13, 1678, 396, 14402, 591, 1795, 864, 304, 2407, 3495, 978, 322, 931, 310, 278, 7035, 11265, 297, 445, 5839, 280, 29892, 304, 2758, 502, 304, 18720, 565, 13, 1678, 396, 29871, 372, 7415, 263, 4868, 2645, 10346, 23315, 29889, 3115, 29892, 591, 1795, 864, 304, 5217, 29914, 276, 3258, 372, 9479, 2645, 13, 1678, 396, 29871, 937, 20234, 29889, 13, 1678, 1018, 29901, 13, 4706, 7035, 353, 5839, 280, 29889, 1359, 29898, 3150, 29898, 1660, 22245, 29911, 29918, 10818, 29918, 7724, 29892, 376, 6050, 5783, 13, 4706, 736, 7035, 13, 1678, 5174, 3497, 17413, 2392, 29901, 13, 4706, 7035, 353, 679, 29918, 8172, 29918, 19024, 29918, 1989, 580, 13, 4706, 5839, 280, 29889, 15070, 29898, 19024, 29892, 1722, 29898, 1660, 22245, 29911, 29918, 10818, 29918, 7724, 29892, 376, 29893, 29890, 5783, 13, 4706, 736, 7035, 13, 13, 13, 1660, 22245, 29911, 29918, 10818, 353, 2254, 29918, 272, 29918, 3258, 29918, 19024, 29918, 1989, 580, 13, 13, 1964, 27998, 3352, 29918, 20832, 29903, 353, 518, 13, 1678, 525, 7640, 742, 13, 1678, 525, 29896, 29906, 29955, 29889, 29900, 29889, 29900, 29889, 29896, 742, 13, 1678, 525, 29961, 1057, 29896, 29962, 742, 13, 1678, 525, 4691, 742, 13, 1678, 396, 525, 29893, 790, 575, 1049, 5689, 371, 29889, 6878, 276, 29966, 26862, 6227, 29958, 742, 13, 29962, 13, 13, 29937, 8427, 5023, 13, 13, 25580, 1964, 20566, 29918, 3301, 7024, 353, 518, 13, 1678, 525, 14095, 29889, 21570, 29889, 6406, 742, 29871, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29906, 29914, 999, 29914, 21570, 29914, 6406, 29914, 13, 1678, 525, 14095, 29889, 21570, 29889, 5150, 742, 29871, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29906, 29914, 999, 29914, 21570, 29914, 5150, 29914, 13, 1678, 525, 14095, 29889, 21570, 29889, 3051, 8768, 742, 29871, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29906, 29914, 999, 29914, 21570, 29914, 3051, 8768, 29914, 13, 1678, 525, 14095, 29889, 21570, 29889, 29879, 10964, 742, 29871, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29906, 29914, 3332, 1199, 29914, 1124, 29914, 29879, 10964, 29914, 13, 1678, 525, 14095, 29889, 21570, 29889, 19158, 742, 29871, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29906, 29914, 999, 29914, 21570, 29914, 19158, 29914, 13, 1678, 525, 14095, 29889, 21570, 29889, 7959, 5325, 742, 29871, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29906, 29914, 999, 29914, 21570, 29914, 7959, 5325, 29914, 13, 1678, 525, 5657, 1450, 14151, 29918, 29945, 742, 13, 1678, 525, 2754, 742, 13, 1678, 525, 2388, 13036, 742, 13, 1678, 525, 2676, 29918, 5184, 3488, 742, 13, 1678, 525, 10149, 29879, 742, 13, 29962, 13, 13, 29924, 1367, 29928, 1307, 12982, 1525, 353, 518, 13, 1678, 525, 14095, 29889, 21570, 29889, 29879, 10964, 29889, 17662, 2519, 29889, 7317, 25411, 2519, 742, 13, 1678, 525, 14095, 29889, 17662, 2519, 29889, 9435, 29889, 18877, 25411, 2519, 742, 13, 1678, 525, 14095, 29889, 17662, 2519, 29889, 2395, 9600, 29889, 29907, 29879, 9600, 1043, 25411, 2519, 742, 13, 1678, 525, 14095, 29889, 21570, 29889, 5150, 29889, 17662, 2519, 29889, 16746, 25411, 2519, 742, 13, 1678, 525, 14095, 29889, 21570, 29889, 19158, 29889, 17662, 2519, 29889, 3728, 25411, 2519, 742, 13, 1678, 525, 14095, 29889, 17662, 2519, 29889, 3808, 21452, 292, 29889, 29990, 4308, 5856, 25411, 2519, 742, 13, 1678, 396, 14402, 1716, 310, 1438, 526, 451, 6136, 363, 2294, 2066, 29892, 322, 505, 304, 367, 13252, 297, 19376, 1449, 29889, 13, 1678, 396, 29871, 445, 16058, 7148, 304, 29901, 13, 1678, 396, 29871, 334, 315, 5550, 373, 2294, 3472, 2066, 393, 526, 6766, 304, 367, 8833, 13, 1678, 396, 29871, 334, 4911, 5020, 18132, 29892, 321, 29889, 29887, 29889, 4558, 29889, 13, 1678, 396, 29871, 334, 379, 1254, 29903, 373, 1432, 18475, 1167, 29889, 13, 1678, 525, 14095, 29889, 17662, 2519, 29889, 8926, 29889, 13228, 25411, 2519, 742, 13, 1678, 525, 29883, 1028, 29889, 17662, 2519, 29889, 29907, 5550, 25411, 2519, 742, 13, 29962, 13, 13, 21289, 29918, 4219, 6007, 29943, 353, 525, 29893, 790, 575, 1049, 5689, 371, 29889, 26045, 29915, 13, 20656, 29950, 29918, 11889, 29918, 20387, 29931, 353, 376, 10149, 29879, 29889, 2659, 29908, 13, 4330, 3580, 29931, 1299, 2890, 353, 518, 13, 1678, 426, 13, 4706, 525, 29933, 11375, 11794, 2396, 525, 14095, 29889, 6886, 29889, 1627, 1975, 29889, 28789, 1764, 29906, 29889, 29967, 262, 1764, 29906, 742, 13, 4706, 525, 9464, 29903, 2396, 6796, 28789, 1764, 29899, 20943, 12436, 13, 4706, 525, 20576, 29918, 9464, 29903, 2396, 5852, 29892, 13, 4706, 525, 14094, 27946, 2396, 426, 13, 9651, 525, 20944, 2396, 525, 2676, 29918, 5184, 3488, 29889, 28789, 1764, 29889, 20944, 29915, 13, 4706, 2981, 13, 1678, 2981, 13, 1678, 426, 13, 4706, 525, 29933, 11375, 11794, 2396, 525, 14095, 29889, 6886, 29889, 1627, 1975, 29889, 14095, 29889, 29928, 5364, 5776, 9884, 742, 13, 4706, 525, 9464, 29903, 2396, 6796, 20943, 12436, 13, 4706, 525, 20576, 29918, 9464, 29903, 2396, 5852, 29892, 13, 4706, 525, 14094, 27946, 2396, 426, 13, 9651, 525, 4703, 29918, 5014, 943, 2396, 518, 13, 18884, 525, 14095, 29889, 6886, 29889, 4703, 29918, 5014, 943, 29889, 8382, 742, 13, 18884, 525, 14095, 29889, 6886, 29889, 4703, 29918, 5014, 943, 29889, 3827, 742, 13, 18884, 525, 14095, 29889, 21570, 29889, 5150, 29889, 4703, 29918, 5014, 943, 29889, 5150, 742, 13, 18884, 525, 14095, 29889, 21570, 29889, 19158, 29889, 4703, 29918, 5014, 943, 29889, 19158, 742, 13, 9651, 21251, 13, 4706, 2981, 13, 1678, 2981, 13, 29962, 13, 13, 7811, 29954, 29902, 29918, 3301, 7390, 28541, 353, 525, 29893, 790, 575, 1049, 5689, 371, 29889, 5652, 3146, 29889, 6214, 29915, 13, 13, 29937, 5470, 13, 29937, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 999, 29914, 11027, 8484, 29503, 2129, 13, 13, 25832, 27982, 29903, 353, 426, 13, 1678, 525, 4381, 2396, 426, 13, 4706, 525, 1430, 29954, 8895, 2396, 525, 14095, 29889, 2585, 29889, 1627, 1975, 29889, 22793, 29941, 742, 13, 4706, 525, 5813, 2396, 350, 8127, 29918, 9464, 847, 525, 1272, 29915, 847, 525, 2585, 29889, 22793, 29941, 742, 13, 1678, 500, 13, 29913, 13, 13, 29937, 25280, 8845, 13, 29937, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 999, 29914, 11027, 8484, 5150, 29899, 5630, 29899, 3084, 4097, 13, 13, 20656, 29950, 29918, 25711, 17013, 29918, 26707, 1299, 24125, 353, 518, 13, 1678, 426, 13, 4706, 525, 5813, 2396, 525, 14095, 29889, 21570, 29889, 5150, 29889, 5630, 29918, 18157, 29889, 2659, 6708, 8942, 2327, 537, 24204, 742, 13, 1678, 2981, 13, 1678, 426, 13, 4706, 525, 5813, 2396, 525, 14095, 29889, 21570, 29889, 5150, 29889, 5630, 29918, 18157, 29889, 8140, 12539, 6513, 24204, 742, 13, 1678, 2981, 13, 1678, 426, 13, 4706, 396, 14402, 591, 881, 671, 263, 330, 3504, 1051, 363, 1749, 3646, 2318, 29892, 3138, 29892, 1438, 526, 5189, 304, 1284, 29889, 13, 4706, 396, 29871, 4803, 360, 27336, 29892, 2183, 2983, 29892, 269, 595, 1280, 29892, 14717, 17651, 322, 3855, 16347, 29920, 29899, 2558, 14625, 2039, 29973, 13, 4706, 396, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 3332, 1199, 29914, 5150, 29914, 5630, 29879, 8484, 5630, 29899, 18157, 13, 4706, 525, 5813, 2396, 525, 14095, 29889, 21570, 29889, 5150, 29889, 5630, 29918, 18157, 29889, 18877, 10048, 24204, 742, 13, 4706, 396, 525, 5630, 29918, 1761, 29918, 2084, 29915, 584, 525, 856, 29915, 13, 4706, 396, 910, 934, 881, 1712, 697, 5224, 4878, 4800, 639, 1196, 322, 1122, 367, 8656, 1426, 470, 330, 2526, 2986, 29889, 13, 1678, 2981, 13, 1678, 426, 13, 4706, 525, 5813, 2396, 525, 14095, 29889, 21570, 29889, 5150, 29889, 5630, 29918, 18157, 29889, 29940, 25099, 10048, 24204, 742, 13, 1678, 2981, 13, 29962, 13, 13, 29937, 4623, 2133, 13, 29937, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 3332, 1199, 29914, 29875, 29896, 29947, 29876, 29914, 13, 13, 29931, 19453, 29965, 10461, 29918, 16524, 353, 525, 264, 29899, 375, 29915, 13, 13, 15307, 29918, 29999, 12413, 353, 525, 26913, 29915, 13, 13, 17171, 29918, 29902, 29896, 29947, 29940, 353, 5852, 13, 13, 17171, 29918, 29931, 29896, 29900, 29940, 353, 5852, 13, 13, 17171, 29918, 29911, 29999, 353, 5852, 13, 13, 29937, 624, 2454, 2066, 313, 19407, 29892, 8286, 29892, 1954, 1179, 29897, 13, 29937, 2045, 597, 2640, 29889, 19776, 574, 26555, 622, 29889, 510, 29914, 264, 29914, 29941, 29889, 29896, 29914, 3525, 517, 29914, 7959, 29899, 5325, 29914, 13, 13, 17816, 2965, 29918, 4219, 353, 8207, 7959, 22208, 13, 29937, 6850, 1299, 2965, 24483, 29918, 9464, 29903, 353, 6796, 7959, 3108, 13, 17816, 2965, 29918, 21289, 353, 2897, 29889, 657, 6272, 703, 15032, 3281, 17816, 2965, 29918, 9464, 613, 6213, 29897, 13, 13, 29937, 14402, 11097, 920, 304, 4386, 5849, 23136, 29889, 13, 29937, 3725, 29907, 11499, 29918, 29950, 1254, 29903, 29918, 1660, 6007, 8452, 353, 29871, 29900, 13, 13, 29937, 14402, 13, 29937, 29871, 518, 29963, 434, 29383, 5387, 739, 2444, 366, 526, 773, 278, 2317, 18785, 2048, 310, 22518, 29889, 1315, 297, 385, 5177, 411, 10576, 14223, 25219, 13, 29937, 29871, 393, 21460, 1169, 25110, 29899, 14513, 29889, 450, 4472, 6516, 2609, 664, 297, 445, 5177, 29889, 10056, 26681, 292, 278, 8898, 304, 13, 29937, 29871, 2758, 25110, 29899, 14513, 470, 758, 29899, 2388, 6504, 596, 17475, 964, 4050, 3168, 29889, 13, 29907, 5550, 29918, 23397, 29918, 29903, 10363, 353, 4852, 29915, 1311, 29915, 613, 13577, 348, 11177, 29899, 14513, 29915, 1159, 13, 29907, 5550, 29918, 7833, 29954, 29918, 29903, 10363, 353, 4852, 29915, 1311, 29915, 613, 376, 991, 597, 6878, 5803, 495, 22655, 29889, 311, 1159, 13, 361, 21681, 29901, 13, 1678, 396, 445, 338, 3734, 363, 5735, 29889, 1315, 29889, 13, 1678, 315, 5550, 29918, 23397, 29918, 29903, 10363, 353, 4852, 29915, 1311, 29915, 613, 13577, 348, 11177, 29899, 14764, 29915, 613, 13577, 348, 11177, 29899, 14513, 29915, 1159, 13, 1678, 315, 5550, 29918, 7187, 24290, 29918, 29903, 10363, 353, 4852, 29915, 1311, 29915, 613, 13577, 348, 11177, 29899, 14764, 29915, 613, 13577, 348, 11177, 29899, 14513, 29915, 1159, 13, 361, 451, 21681, 29901, 13, 1678, 396, 910, 881, 871, 367, 9615, 515, 3058, 10346, 5639, 23315, 29892, 2861, 304, 263, 439, 4616, 29936, 322, 881, 367, 17127, 519, 491, 278, 4113, 29889, 13, 1678, 396, 315, 5550, 29918, 1525, 15082, 29918, 15551, 353, 376, 991, 597, 29886, 29889, 12276, 29899, 5338, 29889, 510, 29914, 29878, 29914, 29881, 29914, 29883, 1028, 29914, 264, 10118, 29908, 13, 1678, 1209, 13, 29937, 315, 5550, 29918, 1525, 15082, 29918, 4986, 353, 376, 4381, 29908, 13, 2 ]

mayan/apps/storage/tests/test_backends.py

morlandi/Mayan-EDMS

0

72169

from pathlib import Path from django.core.files.base import ContentFile from django.utils.encoding import force_bytes from mayan.apps.mimetype.api import get_mimetype from mayan.apps.storage.utils import fs_cleanup, mkdtemp from mayan.apps.testing.tests.base import BaseTestCase from ..backends.compressedstorage import ZipCompressedPassthroughStorage from ..backends.encryptedstorage import EncryptedPassthroughStorage from .literals import TEST_CONTENT, TEST_FILE_NAME class EncryptedPassthroughStorageTestCase(BaseTestCase): def setUp(self): super(EncryptedPassthroughStorageTestCase, self).setUp() self.temporary_directory = mkdtemp() def tearDown(self): fs_cleanup(filename=self.temporary_directory) super(EncryptedPassthroughStorageTestCase, self).tearDown() def test_file_save_and_load(self): storage = EncryptedPassthroughStorage( password='<PASSWORD>', next_storage_backend_arguments={ 'location': self.temporary_directory, } ) test_file_name = storage.save( name=TEST_FILE_NAME, content=ContentFile( content=force_bytes(TEST_CONTENT) ) ) path_file = Path(self.temporary_directory) / test_file_name with path_file.open(mode='rb') as file_object: self.assertEqual( get_mimetype(file_object=file_object), ('application/octet-stream', 'binary') ) with storage.open(name=TEST_FILE_NAME, mode='r') as file_object: self.assertEqual(file_object.read(), TEST_CONTENT) with storage.open(name=TEST_FILE_NAME, mode='r') as file_object: self.assertEqual(file_object.read(1), TEST_CONTENT[0:1]) with storage.open(name=TEST_FILE_NAME, mode='r') as file_object: self.assertEqual(file_object.read(999), TEST_CONTENT) class ZipCompressedPassthroughStorageTestCase(BaseTestCase): def setUp(self): super(ZipCompressedPassthroughStorageTestCase, self).setUp() self.temporary_directory = mkdtemp() def tearDown(self): fs_cleanup(filename=self.temporary_directory) super(ZipCompressedPassthroughStorageTestCase, self).tearDown() def test_file_save_and_load(self): storage = ZipCompressedPassthroughStorage( next_storage_backend_arguments={ 'location': self.temporary_directory } ) test_file_name = storage.save( name=TEST_FILE_NAME, content=ContentFile(content=TEST_CONTENT) ) path_file = Path(self.temporary_directory) / test_file_name with path_file.open(mode='rb') as file_object: self.assertEqual( get_mimetype(file_object=file_object), ('application/zip', 'binary') ) with path_file.open(mode='rb') as file_object: self.assertNotEqual( file_object.read(), force_bytes(TEST_CONTENT) ) with storage.open(name=TEST_FILE_NAME, mode='r') as file_object: self.assertEqual(file_object.read(), TEST_CONTENT)

[ 1, 515, 2224, 1982, 1053, 10802, 13, 13, 3166, 9557, 29889, 3221, 29889, 5325, 29889, 3188, 1053, 10576, 2283, 13, 3166, 9557, 29889, 13239, 29889, 22331, 1053, 4889, 29918, 13193, 13, 13, 3166, 1122, 273, 29889, 13371, 29889, 29885, 17528, 668, 29889, 2754, 1053, 679, 29918, 29885, 17528, 668, 13, 3166, 1122, 273, 29889, 13371, 29889, 12925, 29889, 13239, 1053, 18920, 29918, 14941, 786, 29892, 14690, 29881, 7382, 13, 3166, 1122, 273, 29889, 13371, 29889, 13424, 29889, 21150, 29889, 3188, 1053, 7399, 3057, 8259, 13, 13, 3166, 6317, 1627, 1975, 29889, 510, 13120, 12925, 1053, 796, 666, 1523, 13120, 29925, 294, 303, 1092, 820, 10486, 13, 3166, 6317, 1627, 1975, 29889, 3977, 14740, 12925, 1053, 11346, 14740, 29925, 294, 303, 1092, 820, 10486, 13, 13, 3166, 869, 20889, 1338, 1053, 17067, 1254, 29918, 22412, 3919, 29892, 17067, 1254, 29918, 7724, 29918, 5813, 13, 13, 13, 1990, 11346, 14740, 29925, 294, 303, 1092, 820, 10486, 3057, 8259, 29898, 5160, 3057, 8259, 1125, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 2428, 29898, 8566, 14740, 29925, 294, 303, 1092, 820, 10486, 3057, 8259, 29892, 1583, 467, 842, 3373, 580, 13, 4706, 1583, 29889, 1356, 1971, 653, 29918, 12322, 353, 14690, 29881, 7382, 580, 13, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 1125, 13, 4706, 18920, 29918, 14941, 786, 29898, 9507, 29922, 1311, 29889, 1356, 1971, 653, 29918, 12322, 29897, 13, 4706, 2428, 29898, 8566, 14740, 29925, 294, 303, 1092, 820, 10486, 3057, 8259, 29892, 1583, 467, 371, 279, 6767, 580, 13, 13, 1678, 822, 1243, 29918, 1445, 29918, 7620, 29918, 392, 29918, 1359, 29898, 1311, 1125, 13, 4706, 8635, 353, 11346, 14740, 29925, 294, 303, 1092, 820, 10486, 29898, 13, 9651, 4800, 2433, 29966, 25711, 17013, 29958, 742, 13, 9651, 2446, 29918, 12925, 29918, 27852, 29918, 25699, 3790, 13, 18884, 525, 5479, 2396, 1583, 29889, 1356, 1971, 653, 29918, 12322, 29892, 13, 9651, 500, 13, 4706, 1723, 13, 13, 4706, 1243, 29918, 1445, 29918, 978, 353, 8635, 29889, 7620, 29898, 13, 9651, 1024, 29922, 18267, 29918, 7724, 29918, 5813, 29892, 2793, 29922, 3916, 2283, 29898, 13, 18884, 2793, 29922, 10118, 29918, 13193, 29898, 18267, 29918, 22412, 3919, 29897, 13, 9651, 1723, 13, 4706, 1723, 13, 13, 4706, 2224, 29918, 1445, 353, 10802, 29898, 1311, 29889, 1356, 1971, 653, 29918, 12322, 29897, 847, 1243, 29918, 1445, 29918, 978, 13, 13, 4706, 411, 2224, 29918, 1445, 29889, 3150, 29898, 8513, 2433, 6050, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 9843, 29898, 13, 18884, 679, 29918, 29885, 17528, 668, 29898, 1445, 29918, 3318, 29922, 1445, 29918, 3318, 511, 13, 18884, 6702, 6214, 29914, 20082, 300, 29899, 5461, 742, 525, 19541, 1495, 13, 9651, 1723, 13, 13, 4706, 411, 8635, 29889, 3150, 29898, 978, 29922, 18267, 29918, 7724, 29918, 5813, 29892, 4464, 2433, 29878, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 9843, 29898, 1445, 29918, 3318, 29889, 949, 3285, 17067, 1254, 29918, 22412, 3919, 29897, 13, 13, 4706, 411, 8635, 29889, 3150, 29898, 978, 29922, 18267, 29918, 7724, 29918, 5813, 29892, 4464, 2433, 29878, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 9843, 29898, 1445, 29918, 3318, 29889, 949, 29898, 29896, 511, 17067, 1254, 29918, 22412, 3919, 29961, 29900, 29901, 29896, 2314, 13, 13, 4706, 411, 8635, 29889, 3150, 29898, 978, 29922, 18267, 29918, 7724, 29918, 5813, 29892, 4464, 2433, 29878, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 9843, 29898, 1445, 29918, 3318, 29889, 949, 29898, 29929, 29929, 29929, 511, 17067, 1254, 29918, 22412, 3919, 29897, 13, 13, 13, 1990, 796, 666, 1523, 13120, 29925, 294, 303, 1092, 820, 10486, 3057, 8259, 29898, 5160, 3057, 8259, 1125, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 2428, 29898, 26264, 1523, 13120, 29925, 294, 303, 1092, 820, 10486, 3057, 8259, 29892, 1583, 467, 842, 3373, 580, 13, 4706, 1583, 29889, 1356, 1971, 653, 29918, 12322, 353, 14690, 29881, 7382, 580, 13, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 1125, 13, 4706, 18920, 29918, 14941, 786, 29898, 9507, 29922, 1311, 29889, 1356, 1971, 653, 29918, 12322, 29897, 13, 4706, 2428, 29898, 26264, 1523, 13120, 29925, 294, 303, 1092, 820, 10486, 3057, 8259, 29892, 1583, 467, 371, 279, 6767, 580, 13, 13, 1678, 822, 1243, 29918, 1445, 29918, 7620, 29918, 392, 29918, 1359, 29898, 1311, 1125, 13, 4706, 8635, 353, 796, 666, 1523, 13120, 29925, 294, 303, 1092, 820, 10486, 29898, 13, 9651, 2446, 29918, 12925, 29918, 27852, 29918, 25699, 3790, 13, 18884, 525, 5479, 2396, 1583, 29889, 1356, 1971, 653, 29918, 12322, 13, 9651, 500, 13, 4706, 1723, 13, 13, 4706, 1243, 29918, 1445, 29918, 978, 353, 8635, 29889, 7620, 29898, 13, 9651, 1024, 29922, 18267, 29918, 7724, 29918, 5813, 29892, 2793, 29922, 3916, 2283, 29898, 3051, 29922, 18267, 29918, 22412, 3919, 29897, 13, 4706, 1723, 13, 13, 4706, 2224, 29918, 1445, 353, 10802, 29898, 1311, 29889, 1356, 1971, 653, 29918, 12322, 29897, 847, 1243, 29918, 1445, 29918, 978, 13, 13, 4706, 411, 2224, 29918, 1445, 29889, 3150, 29898, 8513, 2433, 6050, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 9843, 29898, 13, 18884, 679, 29918, 29885, 17528, 668, 29898, 1445, 29918, 3318, 29922, 1445, 29918, 3318, 511, 13, 18884, 6702, 6214, 29914, 7554, 742, 525, 19541, 1495, 13, 9651, 1723, 13, 13, 4706, 411, 2224, 29918, 1445, 29889, 3150, 29898, 8513, 2433, 6050, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 3664, 9843, 29898, 13, 18884, 934, 29918, 3318, 29889, 949, 3285, 4889, 29918, 13193, 29898, 18267, 29918, 22412, 3919, 29897, 13, 9651, 1723, 13, 13, 4706, 411, 8635, 29889, 3150, 29898, 978, 29922, 18267, 29918, 7724, 29918, 5813, 29892, 4464, 2433, 29878, 1495, 408, 934, 29918, 3318, 29901, 13, 9651, 1583, 29889, 9294, 9843, 29898, 1445, 29918, 3318, 29889, 949, 3285, 17067, 1254, 29918, 22412, 3919, 29897, 13, 2 ]

models/__init__.py

jmojoo/MLMO

0

42627

<gh_stars>0 from .extractors import AlexNet

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 869, 21111, 943, 1053, 4827, 6779, 2 ]

scripts/python-phoniebox/helpers_unused_atm/helpers.py

Microgenic/RPi-Jukebox-RFID

3

147263

<gh_stars>1-10 __name__ = "helpers" def is_int(s): """ return True if string is an int """ try: int(s) return True except ValueError: return False def str2bool(s): """ convert string to a python boolean """ return s.lower() in ("yes", "true", "t", "1") def str2num(s): """ convert string to an int or a float """ try: return int(s) except ValueError: return float(s)

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 1649, 978, 1649, 353, 376, 3952, 6774, 29908, 13, 13, 1753, 338, 29918, 524, 29898, 29879, 1125, 13, 1678, 9995, 736, 5852, 565, 1347, 338, 385, 938, 9995, 13, 1678, 1018, 29901, 13, 4706, 938, 29898, 29879, 29897, 13, 4706, 736, 5852, 13, 1678, 5174, 7865, 2392, 29901, 13, 4706, 736, 7700, 13, 13, 1753, 851, 29906, 11227, 29898, 29879, 1125, 13, 1678, 9995, 3588, 1347, 304, 263, 3017, 7223, 9995, 13, 1678, 736, 269, 29889, 13609, 580, 297, 4852, 3582, 613, 376, 3009, 613, 376, 29873, 613, 376, 29896, 1159, 13, 13, 1753, 851, 29906, 1949, 29898, 29879, 1125, 13, 1678, 9995, 3588, 1347, 304, 385, 938, 470, 263, 5785, 9995, 13, 1678, 1018, 29901, 13, 4706, 736, 938, 29898, 29879, 29897, 13, 1678, 5174, 7865, 2392, 29901, 13, 4706, 736, 5785, 29898, 29879, 29897, 13, 2 ]

soccerpy/__init__.py

SlapBot/soccerpy

0

169328

<gh_stars>0 from soccerpy.modules.Competition.competition import Competition from soccerpy.modules.Fixture.fixture import Fixture from soccerpy.modules.Team.team import Team

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 269, 11953, 2272, 29889, 7576, 29889, 6843, 300, 654, 29889, 2388, 300, 654, 1053, 24620, 654, 13, 3166, 269, 11953, 2272, 29889, 7576, 29889, 18800, 15546, 29889, 7241, 15546, 1053, 383, 29875, 15546, 13, 3166, 269, 11953, 2272, 29889, 7576, 29889, 19409, 29889, 14318, 1053, 8583, 13, 2 ]

tests/test_units/test_units.py

dcambie/spectrochempy

3

1612441

<filename>tests/test_units/test_units.py<gh_stars>1-10 # -*- coding: utf-8 -*- # ====================================================================================================================== # Copyright (©) 2015-2021 LCS - Laboratoire Catalyse et Spectrochimie, Caen, France. = # CeCILL-B FREE SOFTWARE LICENSE AGREEMENT - See full LICENSE agreement in the root directory = # ====================================================================================================================== from spectrochempy import ur, set_nmr_context, Quantity def test_ppm(): x = 1 * ur.ppm assert x.units == ur.ppm def test_nmr_context(): set_nmr_context(larmor=104.3 * ur.MHz) fhz = 10000 * ur.Hz with ur.context('nmr'): fppm = fhz.to('ppm') assert "{:~.3f}".format(fppm) == '95.877 ppm' print("{:.1f}".format(fppm)) with ur.context('nmr'): fhz = fppm.to('Hz') assert "{:~.3f}".format(fhz) == '10000.000 Hz' print("{:.1f}".format(fhz)) def test_units(): assert 10 * ur.km == 10000 * ur.m assert ur.km / ur.m == 1000. x = (ur.km / ur.m) assert x.dimensionless def test_repr_html(): a = Quantity(10, 's/km') assert "{}".format(a) == "10 second / kilometer" assert a._repr_html_() == "10 s.km<sup>-1</sup>" def test_unit_dimensionality(): a = Quantity(1., 'cm') b = a / Quantity(1., 'km') assert b._repr_html_() == '1.0 scaled-dimensionless (1e-05)' # def test_matplotlib(): # # import matplotlib.pyplot as plt # import numpy as np # import pint # # ureg = pint.UnitRegistry() # ureg.setup_matplotlib(True) # # y = np.linspace(0, 30) * ureg.miles # x = np.linspace(0, 5) * ureg.hours # # fig, ax = plt.subplots() # ax.yaxis.set_units(ureg.inches) # ax.xaxis.set_units(ureg.seconds) # # ax.plot(x, y, 'tab:blue') # # ax.axhline(26400 * ureg.feet, color='tab:red') # ax.axvline(120 * ureg.minutes, color='tab:green') # # # here we just test that we can add some label to the default unit labeling # ax.set_xlabel('xxx ({})'.format(ax.get_xlabel())) # assert ax.get_xlabel() == 'xxx (second)' # # show()

[ 1, 529, 9507, 29958, 21150, 29914, 1688, 29918, 348, 1169, 29914, 1688, 29918, 348, 1169, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 29937, 1275, 9166, 9166, 9166, 9166, 9166, 9166, 9166, 2751, 13, 29937, 29871, 14187, 1266, 313, 30211, 29897, 29871, 29906, 29900, 29896, 29945, 29899, 29906, 29900, 29906, 29896, 365, 9295, 448, 16715, 20141, 11732, 29891, 344, 634, 27738, 307, 305, 326, 347, 29892, 9243, 264, 29892, 3444, 29889, 462, 462, 29871, 353, 13, 29937, 29871, 7747, 8426, 2208, 29899, 29933, 383, 21661, 7791, 7818, 12982, 1525, 365, 2965, 1430, 1660, 16369, 1525, 12665, 3919, 448, 2823, 2989, 365, 2965, 1430, 1660, 17327, 297, 278, 3876, 3884, 462, 308, 353, 13, 29937, 1275, 9166, 9166, 9166, 9166, 9166, 9166, 9166, 2751, 13, 13, 3166, 6683, 307, 14969, 2272, 1053, 5065, 29892, 731, 29918, 22882, 29878, 29918, 4703, 29892, 22746, 537, 13, 13, 13, 1753, 1243, 29918, 407, 29885, 7295, 13, 1678, 921, 353, 29871, 29896, 334, 5065, 29889, 407, 29885, 13, 1678, 4974, 921, 29889, 348, 1169, 1275, 5065, 29889, 407, 29885, 13, 13, 13, 1753, 1243, 29918, 22882, 29878, 29918, 4703, 7295, 13, 1678, 731, 29918, 22882, 29878, 29918, 4703, 29898, 29880, 2817, 272, 29922, 29896, 29900, 29946, 29889, 29941, 334, 5065, 29889, 29924, 12661, 29897, 13, 1678, 285, 29882, 29920, 353, 29871, 29896, 29900, 29900, 29900, 29900, 334, 5065, 29889, 12661, 13, 1678, 411, 5065, 29889, 4703, 877, 22882, 29878, 29374, 13, 4706, 285, 407, 29885, 353, 285, 29882, 29920, 29889, 517, 877, 407, 29885, 1495, 13, 1678, 4974, 376, 25641, 30022, 29889, 29941, 29888, 29913, 1642, 4830, 29898, 29888, 407, 29885, 29897, 1275, 525, 29929, 29945, 29889, 29947, 29955, 29955, 282, 3358, 29915, 13, 1678, 1596, 703, 25641, 29889, 29896, 29888, 29913, 1642, 4830, 29898, 29888, 407, 29885, 876, 13, 13, 1678, 411, 5065, 29889, 4703, 877, 22882, 29878, 29374, 13, 4706, 285, 29882, 29920, 353, 285, 407, 29885, 29889, 517, 877, 12661, 1495, 13, 1678, 4974, 376, 25641, 30022, 29889, 29941, 29888, 29913, 1642, 4830, 29898, 29888, 29882, 29920, 29897, 1275, 525, 29896, 29900, 29900, 29900, 29900, 29889, 29900, 29900, 29900, 379, 29920, 29915, 13, 1678, 1596, 703, 25641, 29889, 29896, 29888, 29913, 1642, 4830, 29898, 29888, 29882, 29920, 876, 13, 13, 13, 1753, 1243, 29918, 348, 1169, 7295, 13, 1678, 4974, 29871, 29896, 29900, 334, 5065, 29889, 8848, 1275, 29871, 29896, 29900, 29900, 29900, 29900, 334, 5065, 29889, 29885, 13, 1678, 4974, 5065, 29889, 8848, 847, 5065, 29889, 29885, 1275, 29871, 29896, 29900, 29900, 29900, 29889, 13, 1678, 921, 353, 313, 332, 29889, 8848, 847, 5065, 29889, 29885, 29897, 13, 1678, 4974, 921, 29889, 6229, 2673, 2222, 13, 13, 13, 1753, 1243, 29918, 276, 558, 29918, 1420, 7295, 13, 1678, 263, 353, 22746, 537, 29898, 29896, 29900, 29892, 525, 29879, 29914, 8848, 1495, 13, 1678, 4974, 376, 8875, 1642, 4830, 29898, 29874, 29897, 1275, 376, 29896, 29900, 1473, 847, 23836, 29908, 13, 1678, 4974, 263, 3032, 276, 558, 29918, 1420, 29918, 580, 1275, 376, 29896, 29900, 269, 29889, 8848, 29966, 12587, 29958, 29899, 29896, 829, 12587, 11903, 13, 13, 13, 1753, 1243, 29918, 5441, 29918, 12531, 537, 7295, 13, 1678, 263, 353, 22746, 537, 29898, 29896, 1696, 525, 4912, 1495, 13, 1678, 289, 353, 263, 847, 22746, 537, 29898, 29896, 1696, 525, 8848, 1495, 13, 1678, 4974, 289, 3032, 276, 558, 29918, 1420, 29918, 580, 1275, 525, 29896, 29889, 29900, 6287, 29881, 29899, 6229, 2673, 2222, 313, 29896, 29872, 29899, 29900, 29945, 16029, 13, 13, 29937, 822, 1243, 29918, 2922, 17357, 7295, 13, 29937, 13, 29937, 268, 1053, 22889, 29889, 2272, 5317, 408, 14770, 13, 29937, 268, 1053, 12655, 408, 7442, 13, 29937, 268, 1053, 16483, 13, 29937, 13, 29937, 268, 318, 1727, 353, 16483, 29889, 8325, 22579, 580, 13, 29937, 268, 318, 1727, 29889, 14669, 29918, 2922, 17357, 29898, 5574, 29897, 13, 29937, 13, 29937, 268, 343, 353, 7442, 29889, 1915, 3493, 29898, 29900, 29892, 29871, 29941, 29900, 29897, 334, 318, 1727, 29889, 29885, 5475, 13, 29937, 268, 921, 353, 7442, 29889, 1915, 3493, 29898, 29900, 29892, 29871, 29945, 29897, 334, 318, 1727, 29889, 29882, 2470, 13, 29937, 13, 29937, 268, 2537, 29892, 4853, 353, 14770, 29889, 1491, 26762, 580, 13, 29937, 268, 4853, 29889, 29891, 8990, 29889, 842, 29918, 348, 1169, 29898, 545, 29887, 29889, 262, 6609, 29897, 13, 29937, 268, 4853, 29889, 29916, 8990, 29889, 842, 29918, 348, 1169, 29898, 545, 29887, 29889, 23128, 29897, 13, 29937, 13, 29937, 268, 4853, 29889, 5317, 29898, 29916, 29892, 343, 29892, 525, 3891, 29901, 9539, 1495, 13, 29937, 13, 29937, 268, 4853, 29889, 1165, 7760, 29898, 29906, 29953, 29946, 29900, 29900, 334, 318, 1727, 29889, 1725, 300, 29892, 2927, 2433, 3891, 29901, 1127, 1495, 13, 29937, 268, 4853, 29889, 1165, 29894, 1220, 29898, 29896, 29906, 29900, 334, 318, 1727, 29889, 1195, 2667, 29892, 2927, 2433, 3891, 29901, 12692, 1495, 13, 29937, 13, 29937, 268, 396, 1244, 591, 925, 1243, 393, 591, 508, 788, 777, 3858, 304, 278, 2322, 5190, 3858, 292, 13, 29937, 268, 4853, 29889, 842, 29918, 29916, 1643, 877, 12353, 21313, 1800, 4286, 4830, 29898, 1165, 29889, 657, 29918, 29916, 1643, 22130, 13, 29937, 268, 4974, 4853, 29889, 657, 29918, 29916, 1643, 580, 1275, 525, 12353, 313, 7496, 16029, 13, 29937, 13, 29937, 268, 1510, 580, 13, 2 ]

research/cv/vit_base/eval.py

leelige/mindspore

1

159518

<reponame>leelige/mindspore # Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ """ Process the test set with the .ckpt model in turn. """ import argparse import mindspore.nn as nn from mindspore import context from mindspore.train.model import Model from mindspore.train.serialization import load_checkpoint, load_param_into_net from mindspore.common import set_seed from mindspore import Tensor from mindspore.common import dtype as mstype from mindspore.nn.loss.loss import LossBase from mindspore.ops import functional as F from mindspore.ops import operations as P from src.config import cifar10_cfg from src.dataset import create_dataset_cifar10 from src.modeling_ms import VisionTransformer import src.net_config as configs set_seed(1) parser = argparse.ArgumentParser(description='vit_base') parser.add_argument('--dataset_name', type=str, default='cifar10', choices=['cifar10'], help='dataset name.') parser.add_argument('--sub_type', type=str, default='ViT-B_16', choices=['ViT-B_16', 'ViT-B_32', 'ViT-L_16', 'ViT-L_32', 'ViT-H_14', 'testing']) parser.add_argument('--checkpoint_path', type=str, default='./ckpt_0', help='Checkpoint file path') parser.add_argument('--id', type=int, default=0, help='Device id') args_opt = parser.parse_args() class CrossEntropySmooth(LossBase): """CrossEntropy""" def __init__(self, sparse=True, reduction='mean', smooth_factor=0., num_classes=1000): super(CrossEntropySmooth, self).__init__() self.onehot = P.OneHot() self.sparse = sparse self.on_value = Tensor(1.0 - smooth_factor, mstype.float32) self.off_value = Tensor(1.0 * smooth_factor / (num_classes - 1), mstype.float32) self.ce = nn.SoftmaxCrossEntropyWithLogits(reduction=reduction) def construct(self, logit, label): if self.sparse: label = self.onehot(label, F.shape(logit)[1], self.on_value, self.off_value) loss_ = self.ce(logit, label) return loss_ if __name__ == '__main__': CONFIGS = {'ViT-B_16': configs.get_b16_config, 'ViT-B_32': configs.get_b32_config, 'ViT-L_16': configs.get_l16_config, 'ViT-L_32': configs.get_l32_config, 'ViT-H_14': configs.get_h14_config, 'R50-ViT-B_16': configs.get_r50_b16_config, 'testing': configs.get_testing} context.set_context(mode=context.GRAPH_MODE, device_target='Ascend', device_id=args_opt.id) if args_opt.dataset_name == "cifar10": cfg = cifar10_cfg net = VisionTransformer(CONFIGS[args_opt.sub_type], num_classes=cfg.num_classes) loss = nn.SoftmaxCrossEntropyWithLogits(sparse=True, reduction='mean') opt = nn.Momentum(net.trainable_params(), 0.01, cfg.momentum, weight_decay=cfg.weight_decay) dataset = create_dataset_cifar10(cfg.val_data_path, 1, False) param_dict = load_checkpoint(args_opt.checkpoint_path) print("load checkpoint from [{}].".format(args_opt.checkpoint_path)) load_param_into_net(net, param_dict) net.set_train(False) model = Model(net, loss_fn=loss, optimizer=opt, metrics={'acc'}) else: raise ValueError("dataset is not support.") acc = model.eval(dataset) print(f"model's accuracy is {acc}")

[ 1, 529, 276, 1112, 420, 29958, 280, 295, 2231, 29914, 24021, 1028, 487, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29906, 29896, 379, 3357, 26599, 8364, 11763, 3189, 1696, 19806, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 29937, 1275, 9166, 9166, 9166, 9166, 4936, 1360, 13, 15945, 29908, 13, 7032, 278, 1243, 731, 411, 278, 869, 384, 415, 1904, 297, 2507, 29889, 13, 15945, 29908, 13, 5215, 1852, 5510, 13, 5215, 3458, 1028, 487, 29889, 15755, 408, 302, 29876, 13, 3166, 3458, 1028, 487, 1053, 3030, 13, 3166, 3458, 1028, 487, 29889, 14968, 29889, 4299, 1053, 8125, 13, 3166, 3458, 1028, 487, 29889, 14968, 29889, 15550, 2133, 1053, 2254, 29918, 3198, 3149, 29892, 2254, 29918, 3207, 29918, 8941, 29918, 1212, 13, 3166, 3458, 1028, 487, 29889, 9435, 1053, 731, 29918, 26776, 13, 3166, 3458, 1028, 487, 1053, 323, 6073, 13, 3166, 3458, 1028, 487, 29889, 9435, 1053, 26688, 408, 286, 303, 668, 13, 3166, 3458, 1028, 487, 29889, 15755, 29889, 6758, 29889, 6758, 1053, 365, 2209, 5160, 13, 3166, 3458, 1028, 487, 29889, 3554, 1053, 13303, 408, 383, 13, 3166, 3458, 1028, 487, 29889, 3554, 1053, 6931, 408, 349, 13, 13, 3166, 4765, 29889, 2917, 1053, 274, 361, 279, 29896, 29900, 29918, 16859, 13, 3166, 4765, 29889, 24713, 1053, 1653, 29918, 24713, 29918, 29883, 361, 279, 29896, 29900, 13, 13, 3166, 4765, 29889, 4299, 292, 29918, 1516, 1053, 478, 2459, 13372, 261, 13, 5215, 4765, 29889, 1212, 29918, 2917, 408, 2295, 29879, 13, 13, 842, 29918, 26776, 29898, 29896, 29897, 13, 13, 16680, 353, 1852, 5510, 29889, 15730, 11726, 29898, 8216, 2433, 29894, 277, 29918, 3188, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 24713, 29918, 978, 742, 1134, 29922, 710, 29892, 2322, 2433, 29883, 361, 279, 29896, 29900, 742, 19995, 29922, 1839, 29883, 361, 279, 29896, 29900, 7464, 13, 462, 1678, 1371, 2433, 24713, 1024, 29889, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 1491, 29918, 1853, 742, 1134, 29922, 710, 29892, 2322, 2433, 29963, 29875, 29911, 29899, 29933, 29918, 29896, 29953, 742, 13, 462, 1678, 19995, 29922, 1839, 29963, 29875, 29911, 29899, 29933, 29918, 29896, 29953, 742, 525, 29963, 29875, 29911, 29899, 29933, 29918, 29941, 29906, 742, 525, 29963, 29875, 29911, 29899, 29931, 29918, 29896, 29953, 742, 525, 29963, 29875, 29911, 29899, 29931, 29918, 29941, 29906, 742, 525, 29963, 29875, 29911, 29899, 29950, 29918, 29896, 29946, 742, 525, 13424, 11287, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 3198, 3149, 29918, 2084, 742, 1134, 29922, 710, 29892, 2322, 2433, 6904, 384, 415, 29918, 29900, 742, 1371, 2433, 5596, 3149, 934, 2224, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 333, 742, 1134, 29922, 524, 29892, 2322, 29922, 29900, 29892, 1371, 2433, 11501, 1178, 1495, 13, 5085, 29918, 3670, 353, 13812, 29889, 5510, 29918, 5085, 580, 13, 13, 13, 1990, 11189, 5292, 14441, 29903, 4346, 720, 29898, 29931, 2209, 5160, 1125, 13, 1678, 9995, 29907, 2124, 5292, 14441, 15945, 29908, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 29234, 29922, 5574, 29892, 20376, 2433, 12676, 742, 10597, 29918, 19790, 29922, 29900, 1696, 954, 29918, 13203, 29922, 29896, 29900, 29900, 29900, 1125, 13, 4706, 2428, 29898, 29907, 2124, 5292, 14441, 29903, 4346, 720, 29892, 1583, 467, 1649, 2344, 1649, 580, 13, 4706, 1583, 29889, 650, 8711, 353, 349, 29889, 6716, 28917, 580, 13, 4706, 1583, 29889, 29879, 5510, 353, 29234, 13, 4706, 1583, 29889, 265, 29918, 1767, 353, 323, 6073, 29898, 29896, 29889, 29900, 448, 10597, 29918, 19790, 29892, 286, 303, 668, 29889, 7411, 29941, 29906, 29897, 13, 4706, 1583, 29889, 2696, 29918, 1767, 353, 323, 6073, 29898, 29896, 29889, 29900, 334, 10597, 29918, 19790, 847, 313, 1949, 29918, 13203, 448, 29871, 29896, 511, 286, 303, 668, 29889, 7411, 29941, 29906, 29897, 13, 4706, 1583, 29889, 346, 353, 302, 29876, 29889, 6295, 615, 3317, 29907, 2124, 5292, 14441, 3047, 3403, 1169, 29898, 9313, 428, 29922, 9313, 428, 29897, 13, 13, 1678, 822, 3386, 29898, 1311, 29892, 1480, 277, 29892, 3858, 1125, 13, 4706, 565, 1583, 29889, 29879, 5510, 29901, 13, 9651, 3858, 353, 1583, 29889, 650, 8711, 29898, 1643, 29892, 383, 29889, 12181, 29898, 1188, 277, 9601, 29896, 1402, 1583, 29889, 265, 29918, 1767, 29892, 1583, 29889, 2696, 29918, 1767, 29897, 13, 4706, 6410, 29918, 353, 1583, 29889, 346, 29898, 1188, 277, 29892, 3858, 29897, 13, 4706, 736, 6410, 29918, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 8707, 3738, 10749, 353, 11117, 29963, 29875, 29911, 29899, 29933, 29918, 29896, 29953, 2396, 2295, 29879, 29889, 657, 29918, 29890, 29896, 29953, 29918, 2917, 29892, 13, 1669, 525, 29963, 29875, 29911, 29899, 29933, 29918, 29941, 29906, 2396, 2295, 29879, 29889, 657, 29918, 29890, 29941, 29906, 29918, 2917, 29892, 13, 1669, 525, 29963, 29875, 29911, 29899, 29931, 29918, 29896, 29953, 2396, 2295, 29879, 29889, 657, 29918, 29880, 29896, 29953, 29918, 2917, 29892, 13, 1669, 525, 29963, 29875, 29911, 29899, 29931, 29918, 29941, 29906, 2396, 2295, 29879, 29889, 657, 29918, 29880, 29941, 29906, 29918, 2917, 29892, 13, 1669, 525, 29963, 29875, 29911, 29899, 29950, 29918, 29896, 29946, 2396, 2295, 29879, 29889, 657, 29918, 29882, 29896, 29946, 29918, 2917, 29892, 13, 1669, 525, 29934, 29945, 29900, 29899, 29963, 29875, 29911, 29899, 29933, 29918, 29896, 29953, 2396, 2295, 29879, 29889, 657, 29918, 29878, 29945, 29900, 29918, 29890, 29896, 29953, 29918, 2917, 29892, 13, 1669, 525, 13424, 2396, 2295, 29879, 29889, 657, 29918, 13424, 29913, 13, 1678, 3030, 29889, 842, 29918, 4703, 29898, 8513, 29922, 4703, 29889, 14345, 3301, 29950, 29918, 20387, 29892, 4742, 29918, 5182, 2433, 29909, 1557, 355, 742, 4742, 29918, 333, 29922, 5085, 29918, 3670, 29889, 333, 29897, 13, 1678, 565, 6389, 29918, 3670, 29889, 24713, 29918, 978, 1275, 376, 29883, 361, 279, 29896, 29900, 1115, 13, 4706, 274, 16434, 353, 274, 361, 279, 29896, 29900, 29918, 16859, 13, 4706, 7787, 353, 478, 2459, 13372, 261, 29898, 6007, 3738, 10749, 29961, 5085, 29918, 3670, 29889, 1491, 29918, 1853, 1402, 954, 29918, 13203, 29922, 16859, 29889, 1949, 29918, 13203, 29897, 13, 4706, 6410, 353, 302, 29876, 29889, 6295, 615, 3317, 29907, 2124, 5292, 14441, 3047, 3403, 1169, 29898, 29879, 5510, 29922, 5574, 29892, 20376, 2433, 12676, 1495, 13, 4706, 3523, 353, 302, 29876, 29889, 29924, 2932, 398, 29898, 1212, 29889, 14968, 519, 29918, 7529, 3285, 29871, 29900, 29889, 29900, 29896, 29892, 274, 16434, 29889, 29885, 2932, 398, 29892, 7688, 29918, 7099, 388, 29922, 16859, 29889, 7915, 29918, 7099, 388, 29897, 13, 4706, 8783, 353, 1653, 29918, 24713, 29918, 29883, 361, 279, 29896, 29900, 29898, 16859, 29889, 791, 29918, 1272, 29918, 2084, 29892, 29871, 29896, 29892, 7700, 29897, 13, 4706, 1828, 29918, 8977, 353, 2254, 29918, 3198, 3149, 29898, 5085, 29918, 3670, 29889, 3198, 3149, 29918, 2084, 29897, 13, 4706, 1596, 703, 1359, 1423, 3149, 515, 15974, 6525, 1213, 29889, 4830, 29898, 5085, 29918, 3670, 29889, 3198, 3149, 29918, 2084, 876, 13, 4706, 2254, 29918, 3207, 29918, 8941, 29918, 1212, 29898, 1212, 29892, 1828, 29918, 8977, 29897, 13, 4706, 7787, 29889, 842, 29918, 14968, 29898, 8824, 29897, 13, 4706, 1904, 353, 8125, 29898, 1212, 29892, 6410, 29918, 9144, 29922, 6758, 29892, 5994, 3950, 29922, 3670, 29892, 21556, 3790, 29915, 5753, 29915, 1800, 13, 1678, 1683, 29901, 13, 4706, 12020, 7865, 2392, 703, 24713, 338, 451, 2304, 23157, 13, 13, 1678, 1035, 353, 1904, 29889, 14513, 29898, 24713, 29897, 13, 1678, 1596, 29898, 29888, 29908, 4299, 29915, 29879, 13600, 338, 426, 5753, 27195, 13, 2 ]

src/airflow_salesforce_plugin/hooks/salesforce_hook.py

techalchemy/airflow-salesforce-plugin

1

165138

# Copyright (c) 2019 <NAME> # MIT License <https://opensource.org/licenses/mit> from __future__ import absolute_import, unicode_literals import collections import csv import io import pathlib import sqlite3 import tempfile import uuid from typing import Any, Dict, Generator, List, Optional, Set, Tuple, Union import pandas as pd import sqlparse from airflow.exceptions import AirflowException from airflow.hooks.base_hook import BaseHook from simple_salesforce.api import Salesforce, exception_handler class StreamingSalesforce(Salesforce): def query_streaming(self, query, include_deleted=False, **kwargs): url = self.base_url + ("queryAll/" if include_deleted else "query/") params = {"q": query} # `requests` will correctly encode the query string passed as `params` return self._call_salesforce( "GET", url, name="query", params=params, stream=True, **kwargs ) def query_more_streaming( self, next_records_identifier, identifier_is_url=False, include_deleted=False, **kwargs, ): if identifier_is_url: # Don't use `self.base_url` here because the full URI is provided url = f"https://{self.sf_instance}{next_records_identifier}" else: endpoint = "queryAll" if include_deleted else "query" url = f"{self.base_url}{endpoint}/{next_records_identifier}" return self._call_salesforce("GET", url, name="query_more", stream=True, **kwargs) class SalesforceHook(BaseHook): """ Salesforce connection hook. ..note:: Uses `simple_salesforce <https://github.com/simple-salesforce/>`_ with `requests <https://github.com/requests/requests>`_ for all connections and queries to Salesforce. """ conn_name_attr = "conn_id" default_conn_name = "salesforce_default" def __init__(self, conn_id: str = "salesforce_default", *args, **kwargs) -> None: self.conn_id: str = conn_id self._args = args self._kwargs = kwargs self.connection = self.get_connection(self.conn_id) self.session: Optional[StreamingSalesforce] = None def login(self) -> "SalesforceHook": """ Establishes a connection to Salesforce. :return: The current object instance :rtype: SalesforceHook """ if isinstance(self.session, StreamingSalesforce): return self self.log.info(f"establishing connection to salesforce {self.connection.host!r}") extras: Dict[str, str] = self.connection.extra_dejson auth_type: str = extras.get("auth_type", "password") auth_kwargs: Dict[str, Union[Optional[str], bool]] = {} sandbox = extras.get("sandbox", False) in ("yes", "y", "1", 1, True) if auth_type == "direct": auth_kwargs = { "instance_url": self.connection.host, "session_id": self.connection.password, } else: auth_kwargs = { "username": self.connection.login, "password": <PASSWORD>, "security_token": extras.get("security_token"), # "instance_url": self.connection.host, "sandbox": sandbox, } self.log.info("Signing into salesforce...") self.log.info(f"Using username: {self.connection.login} with sandbox={sandbox!s}") self.session = StreamingSalesforce(**auth_kwargs) # type: ignore if not self.session: self.log.error(f"Failed connecting to salesforce: {self.session}") raise AirflowException("Connection failure during salesforce connection!") return self def _parse_identifiers(self, sql: str) -> Tuple[str, List[str]]: """ Parses a sql statement for the first identifier list. :param sql: The sql statement to parse :type sql: str :return: A tuple of the table name and the list of identifiers :rtype: Tuple[str, List[str]] """ table_name: str = "" columns: List[str] = [] statements: List[Any] = sqlparse.parse(sql) # NOTE: only parses first full statement for token in statements[0].tokens: if isinstance(token, (sqlparse.sql.IdentifierList,)): for identifier in token: if ( isinstance(identifier, (sqlparse.sql.Identifier,)) or identifier.ttype in (sqlparse.tokens.Keyword,) or identifier.value.lower() in ("type", "alias") ): columns.append(identifier.value) elif isinstance(token, (sqlparse.sql.Identifier,)) or token.ttype in ( sqlparse.tokens.Keyword, ): table_name = token.value return (table_name, columns) def _extract_columns(self, sql: str, replace: Dict[str, str] = None) -> List[str]: """ Extracts column names from a given sql statement. :param sql: The sql statement to parse :type sql: str :param replace: Character replacement for the column names, defaults to None :param replace: Dict, optional :return: The extracted column names :rtype: List[str] """ if replace is None: replace = {} columns: List[str] = [] for field in self._parse_identifiers(sql)[-1]: for (old, new) in replace.items(): field = field.replace(old, new) columns.append(field) return columns def _extract_row(self, result: collections.OrderedDict) -> List[Any]: """ Extracts the rows from a given result from querying Salesforce. :param result: The result to extract rows from :type result: collections.OrderedDict :return: A list of values :rtype: list """ values: List[Any] = [] for (column, value) in result.items(): if column.lower() not in ("attributes",): if isinstance(value, collections.OrderedDict): values.extend(self._extract_row(value)) else: values.append(value) return values def _get_results(self, sql: str, url: str = None, gen_uuid: str = None, **kwargs): """ Query the session instance for a response using the supplied sql or next url :param str sql: Sql to execute :param Optional[str] url: Url to visit, (default: None) :param Optional[str] gen_uuid: UUID for the session, (default: None) :return: A response instance from the session :rtype: :class:`requests.PreparedResponse` """ assert self.session if not url: kwargs.update({"include_deleted": True}) return self.session.query_streaming(sql, **kwargs) return self.session.query_more_streaming(url, identifier_is_url=True) def _gen_result_frames( self, sql: str, columns: List[str], page: int = 1, url: str = None, gen_uuid: str = None, include_headers: bool = False, **kwargs, ) -> Optional[pd.DataFrame]: """ Generates results from executing a sql statement. :param str sql: The sql statement to execute :param Optional[str] url: The url of the next page of results (default: None) :param Optional[str] gen_uuid: The session-specific UUID (default: None) :return: A generator over the :class:`pd.DataFrame` instances from the results :rtype: Generator """ if not gen_uuid: gen_uuid = str(uuid.uuid4()) try: df = pd.read_json( self._get_results(sql, url=url, gen_uuid=gen_uuid).iter_lines(), lines=True, chunk=1, ) except Exception: df = pd.read_json(self._get_results(sql, url=url, gen_uuid=gen_uuid).text) new_df = pd.DataFrame.from_records( df.records.apply(lambda x: {k: v for k, v in x.items() if k != "attributes"}) ) df["page"] = page if not df["records"].count(): return new_df df["page"] = page unique_records = df.done.unique() try: done = unique_records[0] except IndexError: done = True if new_df.columns.size < 1: new_df.columns = [c.replace(".", "_") for c in columns] else: new_df.columns = new_df.columns.str.lower() joined_tables: Dict[str, Set[str]] = collections.defaultdict(set) join_columns = [col for col in columns if "." in col] for col in join_columns: table, _, col_name = col.partition(".") joined_tables[table].add(col_name) for table in joined_tables: table_df = new_df[table].apply(pd.Series) table_df = table_df.drop("attributes", axis=1).add_prefix(f"{table}_") table_df.columns = table_df.columns.str.lower() new_df = pd.concat([new_df.drop([table], axis=1), table_df], axis=1) columns = [c.replace(".", "_").lower() for c in columns] new_df = new_df[columns] yield new_df next_url = None if not done: page += 1 next_url = df.nextRecordsUrl.unique()[0] for next_df in self._gen_result_frames( sql, columns=columns, url=next_url, gen_uuid=gen_uuid, include_headers=False, ): yield next_df def dump_sqlite( self, sql: str, filepath: str, table: str, parameters: List[str], **kwargs ): """Dump the results of the supplied sql to the target sqlite database :param str sql: Parameterized soql to use for querying :param str filepath: Filepath to export results to :param str table: The target table :param List[str] parameters: Parameters to use as arguments to the soql :return: A count of the rows written :rtype: int """ if not self.session: self.login() if parameters is None: parameters = [] if len(parameters) > 0: sql = sql % tuple(parameters) kwargs.update({"include_deleted": True}) columns = [col for col in self._extract_columns(sql)] filepath = pathlib.Path(filepath).absolute().as_posix() sqlite_conn = sqlite3.connect(filepath) rows = 0 include_headers = True for df in self._gen_result_frames( sql, columns=columns, include_headers=include_headers, **kwargs ): rows += len(df) df.to_sql( table, con=sqlite_conn, if_exists="append", chunksize=200, index=False ) return rows def dump_csv( self, sql: str, filepath: str, parameters: List[str], include_headers: bool = True, **kwargs, ) -> int: """Dump the results of the requested sql to CSV :param str sql: Parameterized soql to use for querying :param str filepath: Filepath to export results to :param List[str] parameters: Parameters to use as arguments to the soql :param bool include_headers: Whether to include headers in the output, defaults to True :return: A count of the rows written :rtype: int """ if not self.session: self.login() if parameters is None: parameters = [] if len(parameters) > 0: sql = sql % tuple(parameters) kwargs.update({"include_deleted": True}) columns = [col for col in self._extract_columns(sql)] temp_dir = tempfile.TemporaryDirectory(prefix="salesforce", suffix="csvs") if not filepath: tmpfile = tempfile.NamedTemporaryFile( prefix="airflow", suffix="salesforce.csv", delete=False, dir=temp_dir.name, encoding="utf-8", ) filepath = tmpfile.name tmpfile.close() rows = 0 for df in self._gen_result_frames( sql, columns=columns, temp_dir=temp_dir, temp_file=filepath, include_headers=include_headers, **kwargs, ): rows += len(df) df.to_csv( filepath, chunksize=200, header=include_headers, encoding="utf-8", index=False, mode="a", ) if include_headers: include_headers = False return rows def _gen_results( self, sql: str, url: str = None, gen_uuid: str = None, **kwargs ) -> Generator[List[Any], None, None]: """ Generates results from executing a sql statement. :param str sql: The sql statement to execute :param Optional[str] url: The url of the next page of results (default: None) :param Optional[str] gen_uuid: The session-specific UUID (default: None) :return: A generator which resulting rows from executing the given sql :rtype: Generator """ # create generation uuid to show what logs are part of the same process if not gen_uuid: gen_uuid = str(uuid.uuid4()) results = self._get_results(sql, url=url, gen_uuid=gen_uuid) if not results: yield [] next_url = None for row in results.get("records", []): yield self._extract_row(row) if not results["done"]: next_url = results.get("nextRecordsUrl", None) for row in self._gen_results(sql, url=next_url, gen_uuid=gen_uuid): yield row def query( self, sql: str, parameters: List[str] = None, include_headers: bool = True, **kwargs, ) -> Generator[List[Any], None, None]: """ Generates the results from executing a given sql statement :param sql: The given sql statement to execute :type sql: str :param parameters: The parameters to use for the sql, defaults to None :type parameters: List[str], optional :param include_headers: True to include columns as the first result, defaults to True :type include_headers: bool, optional :return: A generator which iterates over results from executing the givne sql :rtype: Generator """ if parameters is None: parameters = [] if len(parameters) > 0: sql = sql % tuple(parameters) kwargs.update({"include_deleted": True}) self.log.info(f"executing query {sql!r}") if include_headers: yield self._extract_columns(sql, replace={".": "_"}) self.login() for row in self._gen_results(sql, **kwargs): yield row def export( self, sql: str, filepath: str, parameters: List[str] = None, include_headers: bool = True, **kwargs, ) -> str: """ Exports the result of executing sql to a given filepath. :param sql: The sql statement to execute :type sql: str :param filepath: The filepath to export results to :type filepath: str :param parameters: The parameters to use for the sql, defaults to None :type parameters: List[str], optional :param include_headers: True to include columns as the first result, defaults to True :type include_headers: bool, optional :return: The resulting exported filepath :rtype: str """ self.log.info(f"writing results of sql {sql!r} to {filepath!r}") if not parameters: parameters = [] rowcount = self.dump_csv( sql=sql, filepath=filepath, parameters=parameters, include_headers=True ) self.log.info(f"*** TASK COMPLETE ***: Wrote {rowcount!s} rows!") return filepath

[ 1, 396, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29929, 529, 5813, 29958, 13, 29937, 341, 1806, 19245, 529, 991, 597, 22156, 1167, 29889, 990, 29914, 506, 11259, 29914, 2415, 29958, 13, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 29892, 29104, 29918, 20889, 1338, 13, 13, 5215, 16250, 13, 5215, 11799, 13, 5215, 12013, 13, 5215, 2224, 1982, 13, 5215, 21120, 29941, 13, 5215, 5694, 1445, 13, 5215, 318, 5416, 13, 3166, 19229, 1053, 3139, 29892, 360, 919, 29892, 3251, 1061, 29892, 2391, 29892, 28379, 29892, 3789, 29892, 12603, 552, 29892, 7761, 13, 13, 5215, 11701, 408, 10518, 13, 5215, 4576, 5510, 13, 3166, 4799, 1731, 29889, 11739, 29879, 1053, 5593, 1731, 2451, 13, 3166, 4799, 1731, 29889, 1251, 12117, 29889, 3188, 29918, 20849, 1053, 7399, 29950, 2550, 13, 3166, 2560, 29918, 29879, 2122, 10118, 29889, 2754, 1053, 28389, 10118, 29892, 3682, 29918, 13789, 13, 13, 13, 1990, 13763, 292, 29903, 2122, 10118, 29898, 29903, 2122, 10118, 1125, 13, 1678, 822, 2346, 29918, 5461, 292, 29898, 1311, 29892, 2346, 29892, 3160, 29918, 311, 22742, 29922, 8824, 29892, 3579, 19290, 1125, 13, 4706, 3142, 353, 1583, 29889, 3188, 29918, 2271, 718, 4852, 1972, 3596, 12975, 565, 3160, 29918, 311, 22742, 1683, 376, 1972, 29914, 1159, 13, 4706, 8636, 353, 8853, 29939, 1115, 2346, 29913, 13, 4706, 396, 421, 24830, 29952, 674, 5149, 19750, 278, 2346, 1347, 4502, 408, 421, 7529, 29952, 13, 4706, 736, 1583, 3032, 4804, 29918, 29879, 2122, 10118, 29898, 13, 9651, 376, 7194, 613, 3142, 29892, 1024, 543, 1972, 613, 8636, 29922, 7529, 29892, 4840, 29922, 5574, 29892, 3579, 19290, 13, 4706, 1723, 13, 13, 1678, 822, 2346, 29918, 5514, 29918, 5461, 292, 29898, 13, 4706, 1583, 29892, 13, 4706, 2446, 29918, 3757, 4339, 29918, 25378, 29892, 13, 4706, 15882, 29918, 275, 29918, 2271, 29922, 8824, 29892, 13, 4706, 3160, 29918, 311, 22742, 29922, 8824, 29892, 13, 4706, 3579, 19290, 29892, 13, 268, 1125, 13, 4706, 565, 15882, 29918, 275, 29918, 2271, 29901, 13, 9651, 396, 3872, 29915, 29873, 671, 421, 1311, 29889, 3188, 29918, 2271, 29952, 1244, 1363, 278, 2989, 23539, 338, 4944, 13, 9651, 3142, 353, 285, 29908, 991, 597, 29912, 1311, 29889, 4668, 29918, 8758, 1157, 4622, 29918, 3757, 4339, 29918, 25378, 5038, 13, 4706, 1683, 29901, 13, 9651, 16248, 353, 376, 1972, 3596, 29908, 565, 3160, 29918, 311, 22742, 1683, 376, 1972, 29908, 13, 9651, 3142, 353, 285, 29908, 29912, 1311, 29889, 3188, 29918, 2271, 1157, 29734, 6822, 29912, 4622, 29918, 3757, 4339, 29918, 25378, 5038, 13, 4706, 736, 1583, 3032, 4804, 29918, 29879, 2122, 10118, 703, 7194, 613, 3142, 29892, 1024, 543, 1972, 29918, 5514, 613, 4840, 29922, 5574, 29892, 3579, 19290, 29897, 13, 13, 13, 1990, 28389, 10118, 29950, 2550, 29898, 5160, 29950, 2550, 1125, 13, 13, 1678, 9995, 13, 1678, 28389, 10118, 3957, 12422, 29889, 13, 13, 1678, 6317, 6812, 1057, 10783, 267, 421, 12857, 29918, 29879, 2122, 10118, 529, 991, 597, 3292, 29889, 510, 29914, 12857, 29899, 29879, 2122, 10118, 3779, 29952, 29918, 13, 4706, 411, 421, 24830, 529, 991, 597, 3292, 29889, 510, 29914, 24830, 29914, 24830, 13885, 29918, 363, 599, 12368, 13, 4706, 322, 9365, 304, 28389, 10118, 29889, 13, 1678, 9995, 13, 13, 1678, 11009, 29918, 978, 29918, 5552, 353, 376, 13082, 29918, 333, 29908, 13, 1678, 2322, 29918, 13082, 29918, 978, 353, 376, 29879, 2122, 10118, 29918, 4381, 29908, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 11009, 29918, 333, 29901, 851, 353, 376, 29879, 2122, 10118, 29918, 4381, 613, 334, 5085, 29892, 3579, 19290, 29897, 1599, 6213, 29901, 13, 4706, 1583, 29889, 13082, 29918, 333, 29901, 851, 353, 11009, 29918, 333, 13, 4706, 1583, 3032, 5085, 353, 6389, 13, 4706, 1583, 3032, 19290, 353, 9049, 5085, 13, 4706, 1583, 29889, 9965, 353, 1583, 29889, 657, 29918, 9965, 29898, 1311, 29889, 13082, 29918, 333, 29897, 13, 4706, 1583, 29889, 7924, 29901, 28379, 29961, 3835, 292, 29903, 2122, 10118, 29962, 353, 6213, 13, 13, 1678, 822, 6464, 29898, 1311, 29897, 1599, 376, 29903, 2122, 10118, 29950, 2550, 1115, 13, 4706, 9995, 13, 4706, 2661, 370, 1674, 267, 263, 3957, 304, 28389, 10118, 29889, 13, 13, 4706, 584, 2457, 29901, 450, 1857, 1203, 2777, 13, 4706, 584, 29878, 1853, 29901, 28389, 10118, 29950, 2550, 13, 4706, 9995, 13, 13, 4706, 565, 338, 8758, 29898, 1311, 29889, 7924, 29892, 13763, 292, 29903, 2122, 10118, 1125, 13, 9651, 736, 1583, 13, 13, 4706, 1583, 29889, 1188, 29889, 3888, 29898, 29888, 29908, 342, 370, 1674, 292, 3957, 304, 16538, 10118, 426, 1311, 29889, 9965, 29889, 3069, 29991, 29878, 27195, 13, 4706, 429, 10678, 29901, 360, 919, 29961, 710, 29892, 851, 29962, 353, 1583, 29889, 9965, 29889, 17833, 29918, 311, 3126, 13, 4706, 4817, 29918, 1853, 29901, 851, 353, 429, 10678, 29889, 657, 703, 5150, 29918, 1853, 613, 376, 5630, 1159, 13, 4706, 4817, 29918, 19290, 29901, 360, 919, 29961, 710, 29892, 7761, 29961, 27636, 29961, 710, 1402, 6120, 5262, 353, 6571, 13, 4706, 11982, 1884, 353, 429, 10678, 29889, 657, 703, 29879, 26738, 613, 7700, 29897, 297, 4852, 3582, 613, 376, 29891, 613, 376, 29896, 613, 29871, 29896, 29892, 5852, 29897, 13, 4706, 565, 4817, 29918, 1853, 1275, 376, 11851, 1115, 13, 9651, 4817, 29918, 19290, 353, 426, 13, 18884, 376, 8758, 29918, 2271, 1115, 1583, 29889, 9965, 29889, 3069, 29892, 13, 18884, 376, 7924, 29918, 333, 1115, 1583, 29889, 9965, 29889, 5630, 29892, 13, 9651, 500, 13, 4706, 1683, 29901, 13, 9651, 4817, 29918, 19290, 353, 426, 13, 18884, 376, 6786, 1115, 1583, 29889, 9965, 29889, 7507, 29892, 13, 18884, 376, 5630, 1115, 529, 25711, 17013, 10202, 13, 18884, 376, 8926, 29918, 6979, 1115, 429, 10678, 29889, 657, 703, 8926, 29918, 6979, 4968, 13, 18884, 396, 376, 8758, 29918, 2271, 1115, 1583, 29889, 9965, 29889, 3069, 29892, 13, 18884, 376, 29879, 26738, 1115, 11982, 1884, 29892, 13, 9651, 500, 13, 4706, 1583, 29889, 1188, 29889, 3888, 703, 10140, 292, 964, 16538, 10118, 856, 1159, 13, 4706, 1583, 29889, 1188, 29889, 3888, 29898, 29888, 29908, 15156, 8952, 29901, 426, 1311, 29889, 9965, 29889, 7507, 29913, 411, 11982, 1884, 3790, 29879, 26738, 29991, 29879, 27195, 13, 4706, 1583, 29889, 7924, 353, 13763, 292, 29903, 2122, 10118, 29898, 1068, 5150, 29918, 19290, 29897, 29871, 396, 1134, 29901, 11455, 13, 4706, 565, 451, 1583, 29889, 7924, 29901, 13, 9651, 1583, 29889, 1188, 29889, 2704, 29898, 29888, 29908, 17776, 16791, 304, 16538, 10118, 29901, 426, 1311, 29889, 7924, 27195, 13, 9651, 12020, 5593, 1731, 2451, 703, 5350, 10672, 2645, 16538, 10118, 3957, 29991, 1159, 13, 4706, 736, 1583, 13, 13, 1678, 822, 903, 5510, 29918, 1693, 14903, 29898, 1311, 29892, 4576, 29901, 851, 29897, 1599, 12603, 552, 29961, 710, 29892, 2391, 29961, 710, 5262, 29901, 13, 4706, 9995, 13, 4706, 1459, 29879, 267, 263, 4576, 3229, 363, 278, 937, 15882, 1051, 29889, 13, 13, 4706, 584, 3207, 4576, 29901, 450, 4576, 3229, 304, 6088, 13, 4706, 584, 1853, 4576, 29901, 851, 13, 4706, 584, 2457, 29901, 319, 18761, 310, 278, 1591, 1024, 322, 278, 1051, 310, 2893, 14903, 13, 4706, 584, 29878, 1853, 29901, 12603, 552, 29961, 710, 29892, 2391, 29961, 710, 5262, 13, 4706, 9995, 13, 13, 4706, 1591, 29918, 978, 29901, 851, 353, 5124, 13, 4706, 4341, 29901, 2391, 29961, 710, 29962, 353, 5159, 13, 4706, 9506, 29901, 2391, 29961, 10773, 29962, 353, 4576, 5510, 29889, 5510, 29898, 2850, 29897, 13, 13, 4706, 396, 6058, 29923, 29901, 871, 610, 29879, 267, 937, 2989, 3229, 13, 4706, 363, 5993, 297, 9506, 29961, 29900, 1822, 517, 12360, 29901, 13, 9651, 565, 338, 8758, 29898, 6979, 29892, 313, 2850, 5510, 29889, 2850, 29889, 12889, 1293, 29892, 22164, 13, 18884, 363, 15882, 297, 5993, 29901, 13, 462, 1678, 565, 313, 13, 462, 4706, 338, 8758, 29898, 25378, 29892, 313, 2850, 5510, 29889, 2850, 29889, 12889, 29892, 876, 13, 462, 4706, 470, 15882, 29889, 698, 668, 297, 313, 2850, 5510, 29889, 517, 12360, 29889, 2558, 1742, 29892, 29897, 13, 462, 4706, 470, 15882, 29889, 1767, 29889, 13609, 580, 297, 4852, 1853, 613, 376, 19973, 1159, 13, 462, 268, 1125, 13, 462, 4706, 4341, 29889, 4397, 29898, 25378, 29889, 1767, 29897, 13, 9651, 25342, 338, 8758, 29898, 6979, 29892, 313, 2850, 5510, 29889, 2850, 29889, 12889, 29892, 876, 470, 5993, 29889, 698, 668, 297, 313, 13, 18884, 4576, 5510, 29889, 517, 12360, 29889, 2558, 1742, 29892, 13, 632, 1125, 13, 18884, 1591, 29918, 978, 353, 5993, 29889, 1767, 13, 13, 4706, 736, 313, 2371, 29918, 978, 29892, 4341, 29897, 13, 13, 1678, 822, 903, 21111, 29918, 13099, 29898, 1311, 29892, 4576, 29901, 851, 29892, 5191, 29901, 360, 919, 29961, 710, 29892, 851, 29962, 353, 6213, 29897, 1599, 2391, 29961, 710, 5387, 13, 4706, 9995, 13, 4706, 7338, 1461, 29879, 1897, 2983, 515, 263, 2183, 4576, 3229, 29889, 13, 13, 4706, 584, 3207, 4576, 29901, 450, 4576, 3229, 304, 6088, 13, 4706, 584, 1853, 4576, 29901, 851, 13, 4706, 584, 3207, 5191, 29901, 26804, 16920, 363, 278, 1897, 2983, 29892, 21274, 304, 6213, 13, 4706, 584, 3207, 5191, 29901, 360, 919, 29892, 13136, 13, 4706, 584, 2457, 29901, 450, 23892, 1897, 2983, 13, 4706, 584, 29878, 1853, 29901, 2391, 29961, 710, 29962, 13, 4706, 9995, 13, 13, 4706, 565, 5191, 338, 6213, 29901, 13, 9651, 5191, 353, 6571, 13, 4706, 4341, 29901, 2391, 29961, 710, 29962, 353, 5159, 13, 4706, 363, 1746, 297, 1583, 3032, 5510, 29918, 1693, 14903, 29898, 2850, 9601, 29899, 29896, 5387, 13, 9651, 363, 313, 1025, 29892, 716, 29897, 297, 5191, 29889, 7076, 7295, 13, 18884, 1746, 353, 1746, 29889, 6506, 29898, 1025, 29892, 716, 29897, 13, 9651, 4341, 29889, 4397, 29898, 2671, 29897, 13, 4706, 736, 4341, 13, 13, 1678, 822, 903, 21111, 29918, 798, 29898, 1311, 29892, 1121, 29901, 16250, 29889, 7514, 287, 21533, 29897, 1599, 2391, 29961, 10773, 5387, 13, 4706, 9995, 13, 4706, 7338, 1461, 29879, 278, 4206, 515, 263, 2183, 1121, 515, 2346, 292, 28389, 10118, 29889, 13, 13, 4706, 584, 3207, 1121, 29901, 450, 1121, 304, 6597, 4206, 515, 13, 4706, 584, 1853, 1121, 29901, 16250, 29889, 7514, 287, 21533, 13, 4706, 584, 2457, 29901, 319, 1051, 310, 1819, 13, 4706, 584, 29878, 1853, 29901, 1051, 13, 4706, 9995, 13, 13, 4706, 1819, 29901, 2391, 29961, 10773, 29962, 353, 5159, 13, 4706, 363, 313, 4914, 29892, 995, 29897, 297, 1121, 29889, 7076, 7295, 13, 9651, 565, 1897, 29889, 13609, 580, 451, 297, 4852, 15697, 613, 1125, 13, 18884, 565, 338, 8758, 29898, 1767, 29892, 16250, 29889, 7514, 287, 21533, 1125, 13, 462, 1678, 1819, 29889, 21843, 29898, 1311, 3032, 21111, 29918, 798, 29898, 1767, 876, 13, 18884, 1683, 29901, 13, 462, 1678, 1819, 29889, 4397, 29898, 1767, 29897, 13, 4706, 736, 1819, 13, 13, 1678, 822, 903, 657, 29918, 9902, 29898, 1311, 29892, 4576, 29901, 851, 29892, 3142, 29901, 851, 353, 6213, 29892, 2531, 29918, 25118, 29901, 851, 353, 6213, 29892, 3579, 19290, 1125, 13, 4706, 9995, 13, 4706, 13641, 278, 4867, 2777, 363, 263, 2933, 773, 278, 19056, 4576, 470, 2446, 3142, 13, 13, 4706, 584, 3207, 851, 4576, 29901, 13093, 304, 6222, 13, 4706, 584, 3207, 28379, 29961, 710, 29962, 3142, 29901, 501, 2096, 304, 6493, 29892, 313, 4381, 29901, 6213, 29897, 13, 4706, 584, 3207, 28379, 29961, 710, 29962, 2531, 29918, 25118, 29901, 501, 11150, 363, 278, 4867, 29892, 313, 4381, 29901, 6213, 29897, 13, 4706, 584, 2457, 29901, 319, 2933, 2777, 515, 278, 4867, 13, 4706, 584, 29878, 1853, 29901, 584, 1990, 18078, 24830, 29889, 29925, 3445, 1965, 5103, 29952, 13, 4706, 9995, 13, 4706, 4974, 1583, 29889, 7924, 13, 4706, 565, 451, 3142, 29901, 13, 9651, 9049, 5085, 29889, 5504, 3319, 29908, 2856, 29918, 311, 22742, 1115, 5852, 1800, 13, 9651, 736, 1583, 29889, 7924, 29889, 1972, 29918, 5461, 292, 29898, 2850, 29892, 3579, 19290, 29897, 13, 4706, 736, 1583, 29889, 7924, 29889, 1972, 29918, 5514, 29918, 5461, 292, 29898, 2271, 29892, 15882, 29918, 275, 29918, 2271, 29922, 5574, 29897, 13, 13, 1678, 822, 903, 1885, 29918, 2914, 29918, 19935, 29898, 13, 4706, 1583, 29892, 13, 4706, 4576, 29901, 851, 29892, 13, 4706, 4341, 29901, 2391, 29961, 710, 1402, 13, 4706, 1813, 29901, 938, 353, 29871, 29896, 29892, 13, 4706, 3142, 29901, 851, 353, 6213, 29892, 13, 4706, 2531, 29918, 25118, 29901, 851, 353, 6213, 29892, 13, 4706, 3160, 29918, 13662, 29901, 6120, 353, 7700, 29892, 13, 4706, 3579, 19290, 29892, 13, 1678, 1723, 1599, 28379, 29961, 15926, 29889, 17271, 5387, 13, 4706, 9995, 13, 4706, 3251, 1078, 2582, 515, 14012, 263, 4576, 3229, 29889, 13, 13, 4706, 584, 3207, 851, 4576, 29901, 450, 4576, 3229, 304, 6222, 13, 4706, 584, 3207, 28379, 29961, 710, 29962, 3142, 29901, 450, 3142, 310, 278, 2446, 1813, 310, 2582, 313, 4381, 29901, 6213, 29897, 13, 4706, 584, 3207, 28379, 29961, 710, 29962, 2531, 29918, 25118, 29901, 450, 4867, 29899, 14940, 501, 11150, 313, 4381, 29901, 6213, 29897, 13, 4706, 584, 2457, 29901, 319, 15299, 975, 278, 584, 1990, 18078, 15926, 29889, 17271, 29952, 8871, 515, 278, 2582, 13, 4706, 584, 29878, 1853, 29901, 3251, 1061, 13, 4706, 9995, 13, 13, 4706, 565, 451, 2531, 29918, 25118, 29901, 13, 9651, 2531, 29918, 25118, 353, 851, 29898, 25118, 29889, 25118, 29946, 3101, 13, 4706, 1018, 29901, 13, 9651, 4489, 353, 10518, 29889, 949, 29918, 3126, 29898, 13, 18884, 1583, 3032, 657, 29918, 9902, 29898, 2850, 29892, 3142, 29922, 2271, 29892, 2531, 29918, 25118, 29922, 1885, 29918, 25118, 467, 1524, 29918, 9012, 3285, 13, 18884, 3454, 29922, 5574, 29892, 13, 18884, 19875, 29922, 29896, 29892, 13, 9651, 1723, 13, 4706, 5174, 8960, 29901, 13, 9651, 4489, 353, 10518, 29889, 949, 29918, 3126, 29898, 1311, 3032, 657, 29918, 9902, 29898, 2850, 29892, 3142, 29922, 2271, 29892, 2531, 29918, 25118, 29922, 1885, 29918, 25118, 467, 726, 29897, 13, 4706, 716, 29918, 2176, 353, 10518, 29889, 17271, 29889, 3166, 29918, 3757, 4339, 29898, 13, 9651, 4489, 29889, 3757, 4339, 29889, 7302, 29898, 2892, 921, 29901, 426, 29895, 29901, 325, 363, 413, 29892, 325, 297, 921, 29889, 7076, 580, 565, 413, 2804, 376, 15697, 29908, 1800, 13, 4706, 1723, 13, 4706, 4489, 3366, 3488, 3108, 353, 1813, 13, 4706, 565, 451, 4489, 3366, 3757, 4339, 16862, 2798, 7295, 13, 9651, 736, 716, 29918, 2176, 13, 4706, 4489, 3366, 3488, 3108, 353, 1813, 13, 4706, 5412, 29918, 3757, 4339, 353, 4489, 29889, 15091, 29889, 13092, 580, 13, 4706, 1018, 29901, 13, 9651, 2309, 353, 5412, 29918, 3757, 4339, 29961, 29900, 29962, 13, 4706, 5174, 11374, 2392, 29901, 13, 9651, 2309, 353, 5852, 13, 4706, 565, 716, 29918, 2176, 29889, 13099, 29889, 2311, 529, 29871, 29896, 29901, 13, 9651, 716, 29918, 2176, 29889, 13099, 353, 518, 29883, 29889, 6506, 17350, 613, 11119, 1159, 363, 274, 297, 4341, 29962, 13, 4706, 1683, 29901, 13, 9651, 716, 29918, 2176, 29889, 13099, 353, 716, 29918, 2176, 29889, 13099, 29889, 710, 29889, 13609, 580, 13, 9651, 8772, 29918, 24051, 29901, 360, 919, 29961, 710, 29892, 3789, 29961, 710, 5262, 353, 16250, 29889, 4381, 8977, 29898, 842, 29897, 13, 9651, 5988, 29918, 13099, 353, 518, 1054, 363, 784, 297, 4341, 565, 376, 1213, 297, 784, 29962, 13, 9651, 363, 784, 297, 5988, 29918, 13099, 29901, 13, 18884, 1591, 29892, 17117, 784, 29918, 978, 353, 784, 29889, 16707, 17350, 1159, 13, 18884, 8772, 29918, 24051, 29961, 2371, 1822, 1202, 29898, 1054, 29918, 978, 29897, 13, 9651, 363, 1591, 297, 8772, 29918, 24051, 29901, 13, 18884, 1591, 29918, 2176, 353, 716, 29918, 2176, 29961, 2371, 1822, 7302, 29898, 15926, 29889, 19204, 29897, 13, 18884, 1591, 29918, 2176, 353, 1591, 29918, 2176, 29889, 8865, 703, 15697, 613, 9685, 29922, 29896, 467, 1202, 29918, 13506, 29898, 29888, 29908, 29912, 2371, 2403, 1159, 13, 18884, 1591, 29918, 2176, 29889, 13099, 353, 1591, 29918, 2176, 29889, 13099, 29889, 710, 29889, 13609, 580, 13, 18884, 716, 29918, 2176, 353, 10518, 29889, 17685, 4197, 1482, 29918, 2176, 29889, 8865, 4197, 2371, 1402, 9685, 29922, 29896, 511, 1591, 29918, 2176, 1402, 9685, 29922, 29896, 29897, 13, 4706, 4341, 353, 518, 29883, 29889, 6506, 17350, 613, 11119, 2564, 13609, 580, 363, 274, 297, 4341, 29962, 13, 4706, 716, 29918, 2176, 353, 716, 29918, 2176, 29961, 13099, 29962, 13, 4706, 7709, 716, 29918, 2176, 13, 4706, 2446, 29918, 2271, 353, 6213, 13, 4706, 565, 451, 2309, 29901, 13, 9651, 1813, 4619, 29871, 29896, 13, 9651, 2446, 29918, 2271, 353, 4489, 29889, 4622, 4789, 4339, 5983, 29889, 13092, 580, 29961, 29900, 29962, 13, 9651, 363, 2446, 29918, 2176, 297, 1583, 3032, 1885, 29918, 2914, 29918, 19935, 29898, 13, 18884, 4576, 29892, 13, 18884, 4341, 29922, 13099, 29892, 13, 18884, 3142, 29922, 4622, 29918, 2271, 29892, 13, 18884, 2531, 29918, 25118, 29922, 1885, 29918, 25118, 29892, 13, 18884, 3160, 29918, 13662, 29922, 8824, 29892, 13, 632, 1125, 13, 18884, 7709, 2446, 29918, 2176, 13, 13, 1678, 822, 16766, 29918, 22793, 29898, 13, 4706, 1583, 29892, 4576, 29901, 851, 29892, 934, 2084, 29901, 851, 29892, 1591, 29901, 851, 29892, 4128, 29901, 2391, 29961, 710, 1402, 3579, 19290, 13, 268, 1125, 13, 4706, 9995, 29928, 3427, 278, 2582, 310, 278, 19056, 4576, 304, 278, 3646, 21120, 2566, 13, 13, 4706, 584, 3207, 851, 4576, 29901, 24953, 1891, 577, 1519, 304, 671, 363, 2346, 292, 13, 4706, 584, 3207, 851, 934, 2084, 29901, 3497, 2084, 304, 5609, 2582, 304, 13, 4706, 584, 3207, 851, 1591, 29901, 450, 3646, 1591, 13, 4706, 584, 3207, 2391, 29961, 710, 29962, 4128, 29901, 12662, 2699, 304, 671, 408, 6273, 304, 278, 577, 1519, 13, 4706, 584, 2457, 29901, 319, 2302, 310, 278, 4206, 3971, 13, 4706, 584, 29878, 1853, 29901, 938, 13, 4706, 9995, 13, 4706, 565, 451, 1583, 29889, 7924, 29901, 13, 9651, 1583, 29889, 7507, 580, 13, 4706, 565, 4128, 338, 6213, 29901, 13, 9651, 4128, 353, 5159, 13, 4706, 565, 7431, 29898, 16744, 29897, 1405, 29871, 29900, 29901, 13, 9651, 4576, 353, 4576, 1273, 18761, 29898, 16744, 29897, 13, 4706, 9049, 5085, 29889, 5504, 3319, 29908, 2856, 29918, 311, 22742, 1115, 5852, 1800, 13, 4706, 4341, 353, 518, 1054, 363, 784, 297, 1583, 3032, 21111, 29918, 13099, 29898, 2850, 4638, 13, 4706, 934, 2084, 353, 2224, 1982, 29889, 2605, 29898, 1445, 2084, 467, 23552, 2141, 294, 29918, 1066, 861, 580, 13, 4706, 21120, 29918, 13082, 353, 21120, 29941, 29889, 6915, 29898, 1445, 2084, 29897, 13, 4706, 4206, 353, 29871, 29900, 13, 4706, 3160, 29918, 13662, 353, 5852, 13, 4706, 363, 4489, 297, 1583, 3032, 1885, 29918, 2914, 29918, 19935, 29898, 13, 9651, 4576, 29892, 4341, 29922, 13099, 29892, 3160, 29918, 13662, 29922, 2856, 29918, 13662, 29892, 3579, 19290, 13, 308, 1125, 13, 9651, 4206, 4619, 7431, 29898, 2176, 29897, 13, 9651, 4489, 29889, 517, 29918, 2850, 29898, 13, 18884, 1591, 29892, 378, 29922, 22793, 29918, 13082, 29892, 565, 29918, 9933, 543, 4397, 613, 521, 18801, 675, 29922, 29906, 29900, 29900, 29892, 2380, 29922, 8824, 13, 9651, 1723, 13, 4706, 736, 4206, 13, 13, 1678, 822, 16766, 29918, 7638, 29898, 13, 4706, 1583, 29892, 13, 4706, 4576, 29901, 851, 29892, 13, 4706, 934, 2084, 29901, 851, 29892, 13, 4706, 4128, 29901, 2391, 29961, 710, 1402, 13, 4706, 3160, 29918, 13662, 29901, 6120, 353, 5852, 29892, 13, 4706, 3579, 19290, 29892, 13, 1678, 1723, 1599, 938, 29901, 13, 4706, 9995, 29928, 3427, 278, 2582, 310, 278, 13877, 4576, 304, 16874, 13, 13, 4706, 584, 3207, 851, 4576, 29901, 24953, 1891, 577, 1519, 304, 671, 363, 2346, 292, 13, 4706, 584, 3207, 851, 934, 2084, 29901, 3497, 2084, 304, 5609, 2582, 304, 13, 4706, 584, 3207, 2391, 29961, 710, 29962, 4128, 29901, 12662, 2699, 304, 671, 408, 6273, 304, 278, 577, 1519, 13, 4706, 584, 3207, 6120, 3160, 29918, 13662, 29901, 26460, 304, 3160, 9066, 297, 278, 1962, 29892, 21274, 304, 5852, 13, 4706, 584, 2457, 29901, 319, 2302, 310, 278, 4206, 3971, 13, 4706, 584, 29878, 1853, 29901, 938, 13, 4706, 9995, 13, 4706, 565, 451, 1583, 29889, 7924, 29901, 13, 9651, 1583, 29889, 7507, 580, 13, 4706, 565, 4128, 338, 6213, 29901, 13, 9651, 4128, 353, 5159, 13, 4706, 565, 7431, 29898, 16744, 29897, 1405, 29871, 29900, 29901, 13, 9651, 4576, 353, 4576, 1273, 18761, 29898, 16744, 29897, 13, 4706, 9049, 5085, 29889, 5504, 3319, 29908, 2856, 29918, 311, 22742, 1115, 5852, 1800, 13, 4706, 4341, 353, 518, 1054, 363, 784, 297, 1583, 3032, 21111, 29918, 13099, 29898, 2850, 4638, 13, 4706, 5694, 29918, 3972, 353, 5694, 1445, 29889, 5776, 1971, 653, 9882, 29898, 13506, 543, 29879, 2122, 10118, 613, 25557, 543, 2395, 4270, 1159, 13, 4706, 565, 451, 934, 2084, 29901, 13, 9651, 13128, 1445, 353, 5694, 1445, 29889, 22175, 5776, 1971, 653, 2283, 29898, 13, 18884, 10944, 543, 1466, 1731, 613, 13, 18884, 25557, 543, 29879, 2122, 10118, 29889, 7638, 613, 13, 18884, 5217, 29922, 8824, 29892, 13, 18884, 4516, 29922, 7382, 29918, 3972, 29889, 978, 29892, 13, 18884, 8025, 543, 9420, 29899, 29947, 613, 13, 9651, 1723, 13, 9651, 934, 2084, 353, 13128, 1445, 29889, 978, 13, 9651, 13128, 1445, 29889, 5358, 580, 13, 4706, 4206, 353, 29871, 29900, 13, 4706, 363, 4489, 297, 1583, 3032, 1885, 29918, 2914, 29918, 19935, 29898, 13, 9651, 4576, 29892, 13, 9651, 4341, 29922, 13099, 29892, 13, 9651, 5694, 29918, 3972, 29922, 7382, 29918, 3972, 29892, 13, 9651, 5694, 29918, 1445, 29922, 1445, 2084, 29892, 13, 9651, 3160, 29918, 13662, 29922, 2856, 29918, 13662, 29892, 13, 9651, 3579, 19290, 29892, 13, 308, 1125, 13, 9651, 4206, 4619, 7431, 29898, 2176, 29897, 13, 9651, 4489, 29889, 517, 29918, 7638, 29898, 13, 18884, 934, 2084, 29892, 13, 18884, 521, 18801, 675, 29922, 29906, 29900, 29900, 29892, 13, 18884, 4839, 29922, 2856, 29918, 13662, 29892, 13, 18884, 8025, 543, 9420, 29899, 29947, 613, 13, 18884, 2380, 29922, 8824, 29892, 13, 18884, 4464, 543, 29874, 613, 13, 9651, 1723, 13, 9651, 565, 3160, 29918, 13662, 29901, 13, 18884, 3160, 29918, 13662, 353, 7700, 13, 4706, 736, 4206, 13, 13, 1678, 822, 903, 1885, 29918, 9902, 29898, 13, 4706, 1583, 29892, 4576, 29901, 851, 29892, 3142, 29901, 851, 353, 6213, 29892, 2531, 29918, 25118, 29901, 851, 353, 6213, 29892, 3579, 19290, 13, 1678, 1723, 1599, 3251, 1061, 29961, 1293, 29961, 10773, 1402, 6213, 29892, 6213, 5387, 13, 4706, 9995, 13, 4706, 3251, 1078, 2582, 515, 14012, 263, 4576, 3229, 29889, 13, 13, 4706, 584, 3207, 851, 4576, 29901, 450, 4576, 3229, 304, 6222, 13, 4706, 584, 3207, 28379, 29961, 710, 29962, 3142, 29901, 450, 3142, 310, 278, 2446, 1813, 310, 2582, 313, 4381, 29901, 6213, 29897, 13, 4706, 584, 3207, 28379, 29961, 710, 29962, 2531, 29918, 25118, 29901, 450, 4867, 29899, 14940, 501, 11150, 313, 4381, 29901, 6213, 29897, 13, 4706, 584, 2457, 29901, 319, 15299, 607, 9819, 4206, 515, 14012, 278, 2183, 4576, 13, 4706, 584, 29878, 1853, 29901, 3251, 1061, 13, 4706, 9995, 13, 4706, 396, 1653, 12623, 318, 5416, 304, 1510, 825, 10748, 526, 760, 310, 278, 1021, 1889, 13, 4706, 565, 451, 2531, 29918, 25118, 29901, 13, 9651, 2531, 29918, 25118, 353, 851, 29898, 25118, 29889, 25118, 29946, 3101, 13, 4706, 2582, 353, 1583, 3032, 657, 29918, 9902, 29898, 2850, 29892, 3142, 29922, 2271, 29892, 2531, 29918, 25118, 29922, 1885, 29918, 25118, 29897, 13, 4706, 565, 451, 2582, 29901, 13, 9651, 7709, 5159, 13, 13, 4706, 2446, 29918, 2271, 353, 6213, 13, 4706, 363, 1948, 297, 2582, 29889, 657, 703, 3757, 4339, 613, 5159, 1125, 13, 9651, 7709, 1583, 3032, 21111, 29918, 798, 29898, 798, 29897, 13, 4706, 565, 451, 2582, 3366, 15091, 3108, 29901, 13, 9651, 2446, 29918, 2271, 353, 2582, 29889, 657, 703, 4622, 4789, 4339, 5983, 613, 6213, 29897, 13, 9651, 363, 1948, 297, 1583, 3032, 1885, 29918, 9902, 29898, 2850, 29892, 3142, 29922, 4622, 29918, 2271, 29892, 2531, 29918, 25118, 29922, 1885, 29918, 25118, 1125, 13, 18884, 7709, 1948, 13, 13, 1678, 822, 2346, 29898, 13, 4706, 1583, 29892, 13, 4706, 4576, 29901, 851, 29892, 13, 4706, 4128, 29901, 2391, 29961, 710, 29962, 353, 6213, 29892, 13, 4706, 3160, 29918, 13662, 29901, 6120, 353, 5852, 29892, 13, 4706, 3579, 19290, 29892, 13, 1678, 1723, 1599, 3251, 1061, 29961, 1293, 29961, 10773, 1402, 6213, 29892, 6213, 5387, 13, 4706, 9995, 13, 4706, 3251, 1078, 278, 2582, 515, 14012, 263, 2183, 4576, 3229, 13, 13, 4706, 584, 3207, 4576, 29901, 450, 2183, 4576, 3229, 304, 6222, 13, 4706, 584, 1853, 4576, 29901, 851, 13, 4706, 584, 3207, 4128, 29901, 450, 4128, 304, 671, 363, 278, 4576, 29892, 21274, 304, 6213, 13, 4706, 584, 1853, 4128, 29901, 2391, 29961, 710, 1402, 13136, 13, 4706, 584, 3207, 3160, 29918, 13662, 29901, 5852, 304, 3160, 4341, 408, 278, 937, 1121, 29892, 13, 9651, 21274, 304, 5852, 13, 4706, 584, 1853, 3160, 29918, 13662, 29901, 6120, 29892, 13136, 13, 4706, 584, 2457, 29901, 319, 15299, 607, 4256, 1078, 975, 2582, 515, 14012, 278, 1517, 484, 4576, 13, 4706, 584, 29878, 1853, 29901, 3251, 1061, 13, 4706, 9995, 13, 13, 4706, 565, 4128, 338, 6213, 29901, 13, 9651, 4128, 353, 5159, 13, 4706, 565, 7431, 29898, 16744, 29897, 1405, 29871, 29900, 29901, 13, 9651, 4576, 353, 4576, 1273, 18761, 29898, 16744, 29897, 13, 13, 4706, 9049, 5085, 29889, 5504, 3319, 29908, 2856, 29918, 311, 22742, 1115, 5852, 1800, 13, 4706, 1583, 29889, 1188, 29889, 3888, 29898, 29888, 29908, 4258, 17068, 2346, 426, 2850, 29991, 29878, 27195, 13, 13, 4706, 565, 3160, 29918, 13662, 29901, 13, 9651, 7709, 1583, 3032, 21111, 29918, 13099, 29898, 2850, 29892, 5191, 3790, 1642, 1115, 11119, 29908, 1800, 13, 13, 4706, 1583, 29889, 7507, 580, 13, 13, 4706, 363, 1948, 297, 1583, 3032, 1885, 29918, 9902, 29898, 2850, 29892, 3579, 19290, 1125, 13, 9651, 7709, 1948, 13, 13, 1678, 822, 5609, 29898, 13, 4706, 1583, 29892, 13, 4706, 4576, 29901, 851, 29892, 13, 4706, 934, 2084, 29901, 851, 29892, 13, 4706, 4128, 29901, 2391, 29961, 710, 29962, 353, 6213, 29892, 13, 4706, 3160, 29918, 13662, 29901, 6120, 353, 5852, 29892, 13, 4706, 3579, 19290, 29892, 13, 1678, 1723, 1599, 851, 29901, 13, 4706, 9995, 13, 4706, 1222, 4011, 278, 1121, 310, 14012, 4576, 304, 263, 2183, 934, 2084, 29889, 13, 13, 4706, 584, 3207, 4576, 29901, 450, 4576, 3229, 304, 6222, 13, 4706, 584, 1853, 4576, 29901, 851, 13, 4706, 584, 3207, 934, 2084, 29901, 450, 934, 2084, 304, 5609, 2582, 304, 13, 4706, 584, 1853, 934, 2084, 29901, 851, 13, 4706, 584, 3207, 4128, 29901, 450, 4128, 304, 671, 363, 278, 4576, 29892, 21274, 304, 6213, 13, 4706, 584, 1853, 4128, 29901, 2391, 29961, 710, 1402, 13136, 13, 4706, 584, 3207, 3160, 29918, 13662, 29901, 5852, 304, 3160, 4341, 408, 278, 937, 1121, 29892, 13, 9651, 21274, 304, 5852, 13, 4706, 584, 1853, 3160, 29918, 13662, 29901, 6120, 29892, 13136, 13, 4706, 584, 2457, 29901, 450, 9819, 5609, 287, 934, 2084, 13, 4706, 584, 29878, 1853, 29901, 851, 13, 4706, 9995, 13, 13, 4706, 1583, 29889, 1188, 29889, 3888, 29898, 29888, 29908, 16554, 2582, 310, 4576, 426, 2850, 29991, 29878, 29913, 304, 426, 1445, 2084, 29991, 29878, 27195, 13, 4706, 565, 451, 4128, 29901, 13, 9651, 4128, 353, 5159, 13, 4706, 1948, 2798, 353, 1583, 29889, 15070, 29918, 7638, 29898, 13, 9651, 4576, 29922, 2850, 29892, 934, 2084, 29922, 1445, 2084, 29892, 4128, 29922, 16744, 29892, 3160, 29918, 13662, 29922, 5574, 13, 4706, 1723, 13, 4706, 1583, 29889, 1188, 29889, 3888, 29898, 29888, 29908, 17435, 323, 3289, 29968, 4810, 3580, 18476, 18610, 29901, 399, 4859, 426, 798, 2798, 29991, 29879, 29913, 4206, 29991, 1159, 13, 4706, 736, 934, 2084, 13, 2 ]

daiquiri_client/auth.py

aipescience/django-daiquiri-client

0

10930

class Auth(): def __init__(self, client): self.client = client def get_profiles(self): return self.client.get('/auth/api/profiles/', {'page_size': 10000})['results'] def get_groups(self): return self.client.get('/auth/api/groups/') def get_group_map(self): return {group['id']: group['name'] for group in self.get_groups()} def activate_profile(self, pk): return self.client.put('/auth/api/profiles/%d/activate/' % pk, {}) def update_profile_attributes(self, pk, attributes): return self.client.patch('/auth/api/profiles/%d/' % pk, {'attributes': attributes})

[ 1, 770, 13189, 7295, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3132, 1125, 13, 4706, 1583, 29889, 4645, 353, 3132, 13, 13, 1678, 822, 679, 29918, 771, 5325, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 4645, 29889, 657, 11219, 5150, 29914, 2754, 29914, 771, 5325, 29914, 742, 11117, 3488, 29918, 2311, 2396, 29871, 29896, 29900, 29900, 29900, 29900, 1800, 1839, 9902, 2033, 13, 13, 1678, 822, 679, 29918, 13155, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 4645, 29889, 657, 11219, 5150, 29914, 2754, 29914, 13155, 29914, 1495, 13, 13, 1678, 822, 679, 29918, 2972, 29918, 1958, 29898, 1311, 1125, 13, 4706, 736, 426, 2972, 1839, 333, 2033, 29901, 2318, 1839, 978, 2033, 363, 2318, 297, 1583, 29889, 657, 29918, 13155, 28296, 13, 13, 1678, 822, 5039, 403, 29918, 10185, 29898, 1311, 29892, 282, 29895, 1125, 13, 4706, 736, 1583, 29889, 4645, 29889, 649, 11219, 5150, 29914, 2754, 29914, 771, 5325, 22584, 29881, 29914, 11236, 403, 22208, 1273, 282, 29895, 29892, 426, 1800, 13, 13, 1678, 822, 2767, 29918, 10185, 29918, 15697, 29898, 1311, 29892, 282, 29895, 29892, 8393, 1125, 13, 4706, 736, 1583, 29889, 4645, 29889, 5041, 11219, 5150, 29914, 2754, 29914, 771, 5325, 22584, 29881, 22208, 1273, 282, 29895, 29892, 11117, 15697, 2396, 8393, 1800, 13, 2 ]

tinychronicler/main.py

adzialocha/tinychronicler

4

195034

<reponame>adzialocha/tinychronicler<filename>tinychronicler/main.py import logging import sys import click from loguru import logger from uvicorn import Config, Server from .constants import LOG_LEVELS from .database import engine, models class InterceptHandler(logging.Handler): def emit(self, record): # Get corresponding Loguru level if it exists try: level = logger.level(record.levelname).name except ValueError: level = record.levelno # Find caller from where originated the logged message frame, depth = logging.currentframe(), 2 while frame.f_code.co_filename == logging.__file__: frame = frame.f_back depth += 1 # Finally log the message logger.opt(depth=depth, exception=record.exc_info).log( level, record.getMessage() ) def setup_logging(log_level: str): # Intercept everything at the root logger logging.root.handlers = [InterceptHandler()] logging.root.setLevel(log_level.upper()) # Remove every other logger's handlers and propagate to root logger for name in logging.root.manager.loggerDict.keys(): logging.getLogger(name).handlers = [] logging.getLogger(name).propagate = True # Configure loguru logger.configure(handlers=[{"sink": sys.stdout, "serialize": False}]) def setup_server(host: str, port: int, log_level: str): config = Config( "tinychronicler:server", host=host, port=port, log_level=log_level, ) server = Server(config=config) return server @click.command() @click.option( "--host", type=str, default="0.0.0.0", help="Bind socket to this host.", show_default=True, ) @click.option( "--port", type=int, default=8000, help="Bind socket to this port.", show_default=True, ) @click.option( "--log-level", type=click.Choice(list(LOG_LEVELS.keys())), default="info", help="Log level.", show_default=True, ) def main(host: str, port: int, log_level: str): # Run all migrations models.Base.metadata.create_all(bind=engine) # Start HTTP server hosting web interface for users server = setup_server(host, port, log_level) # Set up logging after server setup to make sure it overrides everything setup_logging(log_level) # Start server and block thread from here on server.run()

[ 1, 529, 276, 1112, 420, 29958, 328, 10527, 2878, 29874, 29914, 29873, 262, 3376, 1617, 293, 1358, 29966, 9507, 29958, 29873, 262, 3376, 1617, 293, 1358, 29914, 3396, 29889, 2272, 13, 5215, 12183, 13, 5215, 10876, 13, 13, 5215, 2828, 13, 3166, 1480, 20144, 1053, 17927, 13, 3166, 318, 26311, 1398, 1053, 12782, 29892, 5656, 13, 13, 3166, 869, 3075, 1934, 1053, 25401, 29918, 1307, 29963, 6670, 29903, 13, 3166, 869, 9803, 1053, 6012, 29892, 4733, 13, 13, 13, 1990, 4124, 1547, 4598, 29898, 21027, 29889, 4598, 1125, 13, 1678, 822, 20076, 29898, 1311, 29892, 2407, 1125, 13, 4706, 396, 3617, 6590, 4522, 20144, 3233, 565, 372, 4864, 13, 4706, 1018, 29901, 13, 9651, 3233, 353, 17927, 29889, 5563, 29898, 11651, 29889, 5563, 978, 467, 978, 13, 4706, 5174, 7865, 2392, 29901, 13, 9651, 3233, 353, 2407, 29889, 5563, 1217, 13, 13, 4706, 396, 10987, 24959, 515, 988, 3978, 630, 278, 13817, 2643, 13, 4706, 3515, 29892, 10809, 353, 12183, 29889, 3784, 2557, 3285, 29871, 29906, 13, 4706, 1550, 3515, 29889, 29888, 29918, 401, 29889, 1111, 29918, 9507, 1275, 12183, 17255, 1445, 1649, 29901, 13, 9651, 3515, 353, 3515, 29889, 29888, 29918, 1627, 13, 9651, 10809, 4619, 29871, 29896, 13, 13, 4706, 396, 9788, 1480, 278, 2643, 13, 4706, 17927, 29889, 3670, 29898, 19488, 29922, 19488, 29892, 3682, 29922, 11651, 29889, 735, 29883, 29918, 3888, 467, 1188, 29898, 13, 9651, 3233, 29892, 2407, 29889, 28983, 580, 13, 4706, 1723, 13, 13, 13, 1753, 6230, 29918, 21027, 29898, 1188, 29918, 5563, 29901, 851, 1125, 13, 1678, 396, 4124, 1547, 4129, 472, 278, 3876, 17927, 13, 1678, 12183, 29889, 4632, 29889, 3179, 9306, 353, 518, 4074, 1547, 4598, 580, 29962, 13, 1678, 12183, 29889, 4632, 29889, 842, 10108, 29898, 1188, 29918, 5563, 29889, 21064, 3101, 13, 13, 1678, 396, 15154, 1432, 916, 17927, 29915, 29879, 25795, 322, 13089, 403, 304, 3876, 17927, 13, 1678, 363, 1024, 297, 12183, 29889, 4632, 29889, 12847, 29889, 21707, 21533, 29889, 8149, 7295, 13, 4706, 12183, 29889, 657, 16363, 29898, 978, 467, 3179, 9306, 353, 5159, 13, 4706, 12183, 29889, 657, 16363, 29898, 978, 467, 7728, 351, 403, 353, 5852, 13, 13, 1678, 396, 1281, 4532, 1480, 20144, 13, 1678, 17927, 29889, 17591, 29898, 3179, 9306, 11759, 6377, 29879, 682, 1115, 10876, 29889, 25393, 29892, 376, 643, 6646, 1115, 7700, 29913, 2314, 13, 13, 13, 1753, 6230, 29918, 2974, 29898, 3069, 29901, 851, 29892, 2011, 29901, 938, 29892, 1480, 29918, 5563, 29901, 851, 1125, 13, 1678, 2295, 353, 12782, 29898, 13, 4706, 376, 29873, 262, 3376, 1617, 293, 1358, 29901, 2974, 613, 13, 4706, 3495, 29922, 3069, 29892, 13, 4706, 2011, 29922, 637, 29892, 13, 4706, 1480, 29918, 5563, 29922, 1188, 29918, 5563, 29892, 13, 1678, 1723, 13, 1678, 1923, 353, 5656, 29898, 2917, 29922, 2917, 29897, 13, 1678, 736, 1923, 13, 13, 13, 29992, 3808, 29889, 6519, 580, 13, 29992, 3808, 29889, 3385, 29898, 13, 1678, 376, 489, 3069, 613, 13, 1678, 1134, 29922, 710, 29892, 13, 1678, 2322, 543, 29900, 29889, 29900, 29889, 29900, 29889, 29900, 613, 13, 1678, 1371, 543, 15708, 9909, 304, 445, 3495, 19602, 13, 1678, 1510, 29918, 4381, 29922, 5574, 29892, 13, 29897, 13, 29992, 3808, 29889, 3385, 29898, 13, 1678, 376, 489, 637, 613, 13, 1678, 1134, 29922, 524, 29892, 13, 1678, 2322, 29922, 29947, 29900, 29900, 29900, 29892, 13, 1678, 1371, 543, 15708, 9909, 304, 445, 2011, 19602, 13, 1678, 1510, 29918, 4381, 29922, 5574, 29892, 13, 29897, 13, 29992, 3808, 29889, 3385, 29898, 13, 1678, 376, 489, 1188, 29899, 5563, 613, 13, 1678, 1134, 29922, 3808, 29889, 29620, 29898, 1761, 29898, 14480, 29918, 1307, 29963, 6670, 29903, 29889, 8149, 3101, 511, 13, 1678, 2322, 543, 3888, 613, 13, 1678, 1371, 543, 3403, 3233, 19602, 13, 1678, 1510, 29918, 4381, 29922, 5574, 29892, 13, 29897, 13, 1753, 1667, 29898, 3069, 29901, 851, 29892, 2011, 29901, 938, 29892, 1480, 29918, 5563, 29901, 851, 1125, 13, 1678, 396, 7525, 599, 9725, 800, 13, 1678, 4733, 29889, 5160, 29889, 19635, 29889, 3258, 29918, 497, 29898, 5355, 29922, 10599, 29897, 13, 13, 1678, 396, 7370, 7331, 1923, 23376, 1856, 5067, 363, 4160, 13, 1678, 1923, 353, 6230, 29918, 2974, 29898, 3069, 29892, 2011, 29892, 1480, 29918, 5563, 29897, 13, 13, 1678, 396, 3789, 701, 12183, 1156, 1923, 6230, 304, 1207, 1854, 372, 975, 24040, 4129, 13, 1678, 6230, 29918, 21027, 29898, 1188, 29918, 5563, 29897, 13, 13, 1678, 396, 7370, 1923, 322, 2908, 3244, 515, 1244, 373, 13, 1678, 1923, 29889, 3389, 580, 13, 2 ]

tests/initialisations/test_onoda2012pca.py

simonharris/pykmeans

1

145947

<filename>tests/initialisations/test_onoda2012pca.py """ Tests for Onoda 2012 PCA initialisation algorithm """ import unittest from datasets import testloader from initialisations import onoda_pca as onoda class OnodaPCATestSuite(unittest.TestCase): """Test suite for Onoda/PCA""" def test_code_runs(self): """This needs more, but at least prove it runs""" dataset = testloader.load_iris() centroids = onoda.generate(dataset.data, 3) self.assertEqual((3, 4), centroids.shape)

[ 1, 529, 9507, 29958, 21150, 29914, 11228, 275, 800, 29914, 1688, 29918, 265, 8887, 29906, 29900, 29896, 29906, 29886, 1113, 29889, 2272, 13, 15945, 29908, 13, 24376, 363, 1551, 8887, 29871, 29906, 29900, 29896, 29906, 349, 5454, 2847, 4371, 5687, 13, 15945, 29908, 13, 13, 5215, 443, 27958, 13, 13, 3166, 20035, 1053, 1243, 12657, 13, 3166, 2847, 275, 800, 1053, 373, 8887, 29918, 29886, 1113, 408, 373, 8887, 13, 13, 13, 1990, 1551, 8887, 9026, 1299, 342, 5091, 568, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 1678, 9995, 3057, 9460, 363, 1551, 8887, 29914, 29925, 5454, 15945, 29908, 13, 13, 1678, 822, 1243, 29918, 401, 29918, 3389, 29879, 29898, 1311, 1125, 13, 4706, 9995, 4013, 4225, 901, 29892, 541, 472, 3203, 6356, 372, 6057, 15945, 29908, 13, 13, 4706, 8783, 353, 1243, 12657, 29889, 1359, 29918, 381, 275, 580, 13, 4706, 1644, 1007, 29879, 353, 373, 8887, 29889, 17158, 29898, 24713, 29889, 1272, 29892, 29871, 29941, 29897, 13, 4706, 1583, 29889, 9294, 9843, 3552, 29941, 29892, 29871, 29946, 511, 1644, 1007, 29879, 29889, 12181, 29897, 13, 2 ]

package/doctor.py

bodo97/ProyectoFinalPC

89

119657

<filename>package/doctor.py #<NAME> #Python 2.7 from flask_restful import Resource, Api, request from package.model import conn class Doctors(Resource): """This contain apis to carry out activity with all doctors""" def get(self): """Retrive list of all the doctor""" doctors = conn.execute("SELECT * FROM doctor ORDER BY doc_date DESC").fetchall() return doctors def post(self): """Add the new doctor""" doctorInput = request.get_json(force=True) doc_first_name=doctorInput['doc_first_name'] doc_last_name = doctorInput['doc_last_name'] doc_ph_no = doctorInput['doc_ph_no'] doc_address = doctorInput['doc_address'] doctorInput['doc_id']=conn.execute('''INSERT INTO doctor(doc_first_name,doc_last_name,doc_ph_no,doc_address) VALUES(?,?,?,?)''', (doc_first_name, doc_last_name,doc_ph_no,doc_address)).lastrowid conn.commit() return doctorInput class Doctor(Resource): """It include all the apis carrying out the activity with the single doctor""" def get(self,id): """get the details of the docktor by the doctor id""" doctor = conn.execute("SELECT * FROM doctor WHERE doc_id=?",(id,)).fetchall() return doctor def delete(self, id): """Delete the doctor by its id""" conn.execute("DELETE FROM doctor WHERE doc_id=?", (id,)) conn.commit() return {'msg': 'sucessfully deleted'} def put(self,id): """Update the doctor by its id""" doctorInput = request.get_json(force=True) doc_first_name=doctorInput['doc_first_name'] doc_last_name = doctorInput['doc_last_name'] doc_ph_no = doctorInput['doc_ph_no'] doc_address = doctorInput['doc_address'] conn.execute( "UPDATE doctor SET doc_first_name=?,doc_last_name=?,doc_ph_no=?,doc_address=? WHERE doc_id=?", (doc_first_name, doc_last_name, doc_ph_no, doc_address, id)) conn.commit() return doctorInput

[ 1, 529, 9507, 29958, 5113, 29914, 1867, 2801, 29889, 2272, 13, 29937, 29966, 5813, 29958, 13, 29937, 11980, 29871, 29906, 29889, 29955, 13, 13, 3166, 29784, 29918, 5060, 1319, 1053, 18981, 29892, 29749, 29892, 2009, 13, 3166, 3577, 29889, 4299, 1053, 11009, 13, 1990, 1938, 14359, 29898, 6848, 1125, 13, 1678, 9995, 4013, 1712, 3095, 275, 304, 8677, 714, 6354, 411, 599, 437, 14359, 15945, 29908, 13, 13, 1678, 822, 679, 29898, 1311, 1125, 13, 4706, 9995, 8015, 4401, 1051, 310, 599, 278, 11619, 15945, 29908, 13, 13, 4706, 437, 14359, 353, 11009, 29889, 7978, 703, 6404, 334, 3895, 11619, 15606, 6770, 1574, 29918, 1256, 23050, 2564, 9155, 497, 580, 13, 4706, 736, 437, 14359, 13, 13, 13, 13, 1678, 822, 1400, 29898, 1311, 1125, 13, 4706, 9995, 2528, 278, 716, 11619, 15945, 29908, 13, 13, 4706, 11619, 4290, 353, 2009, 29889, 657, 29918, 3126, 29898, 10118, 29922, 5574, 29897, 13, 4706, 1574, 29918, 4102, 29918, 978, 29922, 1867, 2801, 4290, 1839, 1514, 29918, 4102, 29918, 978, 2033, 13, 4706, 1574, 29918, 4230, 29918, 978, 353, 11619, 4290, 1839, 1514, 29918, 4230, 29918, 978, 2033, 13, 4706, 1574, 29918, 561, 29918, 1217, 353, 11619, 4290, 1839, 1514, 29918, 561, 29918, 1217, 2033, 13, 4706, 1574, 29918, 7328, 353, 11619, 4290, 1839, 1514, 29918, 7328, 2033, 13, 4706, 11619, 4290, 1839, 1514, 29918, 333, 2033, 29922, 13082, 29889, 7978, 877, 4907, 19460, 11646, 11619, 29898, 1514, 29918, 4102, 29918, 978, 29892, 1514, 29918, 4230, 29918, 978, 29892, 1514, 29918, 561, 29918, 1217, 29892, 1514, 29918, 7328, 29897, 13, 9651, 15673, 10780, 29892, 14579, 14579, 7897, 4907, 742, 313, 1514, 29918, 4102, 29918, 978, 29892, 1574, 29918, 4230, 29918, 978, 29892, 1514, 29918, 561, 29918, 1217, 29892, 1514, 29918, 7328, 8106, 4230, 798, 333, 13, 4706, 11009, 29889, 15060, 580, 13, 4706, 736, 11619, 4290, 13, 13, 1990, 15460, 29898, 6848, 1125, 13, 1678, 9995, 3112, 3160, 599, 278, 3095, 275, 19436, 714, 278, 6354, 411, 278, 2323, 11619, 15945, 29908, 13, 13, 13, 1678, 822, 679, 29898, 1311, 29892, 333, 1125, 13, 4706, 9995, 657, 278, 4902, 310, 278, 23630, 7345, 491, 278, 11619, 1178, 15945, 29908, 13, 13, 4706, 11619, 353, 11009, 29889, 7978, 703, 6404, 334, 3895, 11619, 5754, 1574, 29918, 333, 29922, 29973, 613, 29898, 333, 29892, 8106, 9155, 497, 580, 13, 4706, 736, 11619, 13, 13, 1678, 822, 5217, 29898, 1311, 29892, 1178, 1125, 13, 4706, 9995, 12498, 278, 11619, 491, 967, 1178, 15945, 29908, 13, 13, 4706, 11009, 29889, 7978, 703, 2287, 18476, 3895, 11619, 5754, 1574, 29918, 333, 29922, 29973, 613, 313, 333, 29892, 876, 13, 4706, 11009, 29889, 15060, 580, 13, 4706, 736, 11117, 7645, 2396, 525, 2146, 985, 3730, 11132, 10827, 13, 13, 1678, 822, 1925, 29898, 1311, 29892, 333, 1125, 13, 4706, 9995, 6422, 278, 11619, 491, 967, 1178, 15945, 29908, 13, 13, 4706, 11619, 4290, 353, 2009, 29889, 657, 29918, 3126, 29898, 10118, 29922, 5574, 29897, 13, 4706, 1574, 29918, 4102, 29918, 978, 29922, 1867, 2801, 4290, 1839, 1514, 29918, 4102, 29918, 978, 2033, 13, 4706, 1574, 29918, 4230, 29918, 978, 353, 11619, 4290, 1839, 1514, 29918, 4230, 29918, 978, 2033, 13, 4706, 1574, 29918, 561, 29918, 1217, 353, 11619, 4290, 1839, 1514, 29918, 561, 29918, 1217, 2033, 13, 4706, 1574, 29918, 7328, 353, 11619, 4290, 1839, 1514, 29918, 7328, 2033, 13, 4706, 11009, 29889, 7978, 29898, 13, 9651, 376, 14474, 11619, 11368, 1574, 29918, 4102, 29918, 978, 29922, 14579, 1514, 29918, 4230, 29918, 978, 29922, 14579, 1514, 29918, 561, 29918, 1217, 29922, 14579, 1514, 29918, 7328, 29922, 29973, 5754, 1574, 29918, 333, 29922, 29973, 613, 13, 9651, 313, 1514, 29918, 4102, 29918, 978, 29892, 1574, 29918, 4230, 29918, 978, 29892, 1574, 29918, 561, 29918, 1217, 29892, 1574, 29918, 7328, 29892, 1178, 876, 13, 4706, 11009, 29889, 15060, 580, 13, 4706, 736, 11619, 4290, 2 ]

p3d/__init__.py

Derfies/p3d

0

28757

<filename>p3d/__init__.py<gh_stars>0 from pandac.PandaModules import Vec3 P3D_VERSION = '0.1' __version__ = P3D_VERSION from constants import * from functions import * import commonUtils from object import Object from singleTask import SingleTask from nodePathObject import NodePathObject from pandaObject import * from pandaBehaviour import PandaBehaviour from pandaManager import PandaManager from marquee import Marquee from camera import * from editorCamera import EditorCamera from frameRate import FrameRate from displayShading import DisplayShading from mouse import * from mousePicker import MousePicker import geometry try: import wxPanda as wx except: print 'Failed to find wx module'

[ 1, 529, 9507, 29958, 29886, 29941, 29881, 29914, 1649, 2344, 26914, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 282, 392, 562, 29889, 29925, 5863, 2111, 2540, 1053, 26393, 29941, 13, 13, 13, 29925, 29941, 29928, 29918, 16358, 353, 525, 29900, 29889, 29896, 29915, 13, 13, 13, 1649, 3259, 1649, 353, 349, 29941, 29928, 29918, 16358, 13, 13, 13, 3166, 17727, 1053, 334, 13, 3166, 3168, 1053, 334, 13, 5215, 3619, 12177, 13, 13, 3166, 1203, 1053, 4669, 13, 3166, 2323, 5398, 1053, 16740, 5398, 13, 3166, 2943, 2605, 2061, 1053, 9071, 2605, 2061, 13, 3166, 282, 5863, 2061, 1053, 334, 13, 3166, 282, 5863, 3629, 8708, 8975, 1053, 349, 5863, 3629, 8708, 8975, 13, 3166, 282, 5863, 3260, 1053, 349, 5863, 3260, 13, 13, 3166, 29452, 29872, 1053, 1085, 802, 29872, 13, 3166, 10656, 1053, 334, 13, 3166, 6920, 20717, 1053, 14059, 20717, 13, 3166, 3515, 19907, 1053, 12218, 19907, 13, 3166, 2479, 2713, 9382, 1053, 17440, 2713, 9382, 13, 3166, 9495, 1053, 334, 13, 3166, 9495, 13954, 1053, 25992, 13954, 13, 5215, 16303, 13, 2202, 29901, 13, 1678, 1053, 26437, 29925, 5863, 408, 26437, 13, 19499, 29901, 13, 1678, 1596, 525, 17776, 304, 1284, 26437, 3883, 29915, 2 ]

sagemaker-experiments/track-an-airflow-workflow/code/train.py

jerrypeng7773/amazon-sagemaker-examples

2,610

149611

# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). You # may not use this file except in compliance with the License. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. This file is # distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied. See the License for the specific # language governing permissions and limitations under the License. import argparse import logging import os import numpy as np import tensorflow as tf import tensorflow.keras.backend as K from data_util import load_test_dataset, load_train_dataset from model import get_model from sklearn.model_selection import train_test_split logging.getLogger().setLevel(logging.INFO) tf.logging.set_verbosity(tf.logging.ERROR) # Copy inference pre/post-processing script so it will be included in the model package os.system("mkdir /opt/ml/model/code") os.system("cp inference.py /opt/ml/model/code") os.system("cp requirements.txt /opt/ml/model/code") def save_model(model, path): tf.contrib.saved_model.save_keras_model(model, f"{path}/SavedModel") logging.info("Model successfully saved at: {}".format(path)) def main(args): model = get_model( filters=args.filter_sizes, hidden_units=args.hidden_size, dropouts=args.dropout_sizes, num_class=args.num_classes, ) # load training data x, y = load_train_dataset(droot=args.train_dir) # one-hot encode label one_hot_y = np.zeros((y.shape[0], args.num_classes)) one_hot_y[np.arange(y.shape[0]), y] = 1 # split x and y into train and val set X_train, X_val, y_train, y_val = train_test_split( x, one_hot_y, test_size=args.test_size, random_state=42, shuffle=True ) # normalize the x image X_train = X_train / 255 X_val = X_val / 255 opt = tf.keras.optimizers.Adam(args.learning_rate, args.momentum) model.compile( loss="categorical_crossentropy", optimizer=opt, metrics=["categorical_crossentropy", "accuracy"], ) # a callback to save model ckpt after each epoch if better model is found model_ckpt_callback = tf.keras.callbacks.ModelCheckpoint( args.output_data_dir + "/checkpoint-{epoch}.h5", monitor="val_accuracy", ) logging.info("Start training ...") model.fit( X_train, y_train, validation_data=(X_val, y_val), batch_size=args.batch_size, epochs=args.epochs, callbacks=[model_ckpt_callback], verbose=2, ) save_model(model, args.model_output_dir) if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument( "--filter-sizes", nargs=2, type=int, default=[64, 32], help="Filter size with length of 2" ) parser.add_argument( "--hidden-size", type=int, default=256, help="Feed-forward layer hidden unit size." ) parser.add_argument( "--dropout-sizes", nargs=3, type=float, default=[0.3, 0.3, 0.5], help="Dropout layer size with length of 2", ) parser.add_argument( "--num-classes", type=int, default=10, help="Num of class in classification task." ) parser.add_argument("--learning-rate", type=float, default=0.001, help="Initial learning rate.") parser.add_argument("--epochs", type=int, default=10) parser.add_argument("--batch-size", type=int, default=128) parser.add_argument("--test-size", type=float, default=0.2) parser.add_argument("--momentum", type=float, default=0.9) parser.add_argument("--train-dir", type=str, default=os.environ.get("SM_CHANNEL_TRAINING")) parser.add_argument("--model_dir", type=str) parser.add_argument("--model-output-dir", type=str, default=os.environ.get("SM_MODEL_DIR")) parser.add_argument("--output-data-dir", type=str, default=os.environ.get("SM_OUTPUT_DATA_DIR")) args = parser.parse_args() main(args)

[ 1, 396, 14187, 1266, 29871, 29906, 29900, 29896, 29947, 16631, 29889, 510, 29892, 9266, 29889, 470, 967, 23736, 1078, 29889, 2178, 26863, 2538, 9841, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 2564, 887, 13, 29937, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 319, 3509, 310, 13, 29937, 278, 19245, 338, 5982, 472, 13, 29937, 13, 29937, 268, 1732, 597, 10467, 29889, 17260, 29889, 510, 29914, 4288, 29906, 29889, 29900, 29914, 13, 29937, 13, 29937, 470, 297, 278, 376, 506, 1947, 29908, 934, 10259, 1384, 292, 445, 934, 29889, 910, 934, 338, 13, 29937, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13, 29937, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 2823, 278, 19245, 363, 278, 2702, 13, 29937, 4086, 14765, 1076, 11239, 322, 27028, 1090, 278, 19245, 29889, 13, 13, 5215, 1852, 5510, 13, 5215, 12183, 13, 5215, 2897, 13, 13, 5215, 12655, 408, 7442, 13, 5215, 26110, 408, 15886, 13, 5215, 26110, 29889, 3946, 294, 29889, 27852, 408, 476, 13, 3166, 848, 29918, 4422, 1053, 2254, 29918, 1688, 29918, 24713, 29892, 2254, 29918, 14968, 29918, 24713, 13, 3166, 1904, 1053, 679, 29918, 4299, 13, 3166, 2071, 19668, 29889, 4299, 29918, 21731, 1053, 7945, 29918, 1688, 29918, 5451, 13, 13, 21027, 29889, 657, 16363, 2141, 842, 10108, 29898, 21027, 29889, 11690, 29897, 13, 13264, 29889, 21027, 29889, 842, 29918, 18248, 359, 537, 29898, 13264, 29889, 21027, 29889, 11432, 29897, 13, 13, 29937, 29871, 14187, 27262, 758, 29914, 2490, 29899, 19170, 2471, 577, 372, 674, 367, 5134, 297, 278, 1904, 3577, 13, 359, 29889, 5205, 703, 11256, 3972, 847, 3670, 29914, 828, 29914, 4299, 29914, 401, 1159, 13, 359, 29889, 5205, 703, 6814, 27262, 29889, 2272, 847, 3670, 29914, 828, 29914, 4299, 29914, 401, 1159, 13, 359, 29889, 5205, 703, 6814, 11780, 29889, 3945, 847, 3670, 29914, 828, 29914, 4299, 29914, 401, 1159, 13, 13, 13, 1753, 4078, 29918, 4299, 29898, 4299, 29892, 2224, 1125, 13, 1678, 15886, 29889, 21570, 29889, 17314, 29918, 4299, 29889, 7620, 29918, 3946, 294, 29918, 4299, 29898, 4299, 29892, 285, 29908, 29912, 2084, 6822, 29903, 10511, 3195, 1159, 13, 1678, 12183, 29889, 3888, 703, 3195, 8472, 7160, 472, 29901, 6571, 1642, 4830, 29898, 2084, 876, 13, 13, 13, 1753, 1667, 29898, 5085, 1125, 13, 1678, 1904, 353, 679, 29918, 4299, 29898, 13, 4706, 18094, 29922, 5085, 29889, 4572, 29918, 29879, 7093, 29892, 13, 4706, 7934, 29918, 348, 1169, 29922, 5085, 29889, 10892, 29918, 2311, 29892, 13, 4706, 5768, 17718, 29922, 5085, 29889, 8865, 449, 29918, 29879, 7093, 29892, 13, 4706, 954, 29918, 1990, 29922, 5085, 29889, 1949, 29918, 13203, 29892, 13, 1678, 1723, 13, 13, 1678, 396, 2254, 6694, 848, 13, 1678, 921, 29892, 343, 353, 2254, 29918, 14968, 29918, 24713, 29898, 29881, 4632, 29922, 5085, 29889, 14968, 29918, 3972, 29897, 13, 1678, 396, 697, 29899, 8711, 19750, 3858, 13, 1678, 697, 29918, 8711, 29918, 29891, 353, 7442, 29889, 3298, 359, 3552, 29891, 29889, 12181, 29961, 29900, 1402, 6389, 29889, 1949, 29918, 13203, 876, 13, 1678, 697, 29918, 8711, 29918, 29891, 29961, 9302, 29889, 279, 927, 29898, 29891, 29889, 12181, 29961, 29900, 11724, 343, 29962, 353, 29871, 29896, 13, 1678, 396, 6219, 921, 322, 343, 964, 7945, 322, 659, 731, 13, 1678, 1060, 29918, 14968, 29892, 1060, 29918, 791, 29892, 343, 29918, 14968, 29892, 343, 29918, 791, 353, 7945, 29918, 1688, 29918, 5451, 29898, 13, 4706, 921, 29892, 697, 29918, 8711, 29918, 29891, 29892, 1243, 29918, 2311, 29922, 5085, 29889, 1688, 29918, 2311, 29892, 4036, 29918, 3859, 29922, 29946, 29906, 29892, 528, 21897, 29922, 5574, 13, 1678, 1723, 13, 13, 1678, 396, 4226, 675, 278, 921, 1967, 13, 1678, 1060, 29918, 14968, 353, 1060, 29918, 14968, 847, 29871, 29906, 29945, 29945, 13, 1678, 1060, 29918, 791, 353, 1060, 29918, 791, 847, 29871, 29906, 29945, 29945, 13, 13, 1678, 3523, 353, 15886, 29889, 3946, 294, 29889, 20640, 19427, 29889, 3253, 314, 29898, 5085, 29889, 21891, 29918, 10492, 29892, 6389, 29889, 29885, 2932, 398, 29897, 13, 13, 1678, 1904, 29889, 12198, 29898, 13, 4706, 6410, 543, 29883, 20440, 936, 29918, 19128, 296, 14441, 613, 13, 4706, 5994, 3950, 29922, 3670, 29892, 13, 4706, 21556, 29922, 3366, 29883, 20440, 936, 29918, 19128, 296, 14441, 613, 376, 562, 2764, 4135, 12436, 13, 1678, 1723, 13, 13, 1678, 396, 263, 6939, 304, 4078, 1904, 274, 29895, 415, 1156, 1269, 21502, 305, 565, 2253, 1904, 338, 1476, 13, 1678, 1904, 29918, 384, 415, 29918, 14035, 353, 15886, 29889, 3946, 294, 29889, 14035, 29879, 29889, 3195, 5596, 3149, 29898, 13, 4706, 6389, 29889, 4905, 29918, 1272, 29918, 3972, 718, 5591, 3198, 3149, 29899, 29912, 1022, 2878, 1836, 29882, 29945, 613, 13, 4706, 11819, 543, 791, 29918, 562, 2764, 4135, 613, 13, 1678, 1723, 13, 13, 1678, 12183, 29889, 3888, 703, 4763, 6694, 2023, 1159, 13, 1678, 1904, 29889, 9202, 29898, 13, 4706, 1060, 29918, 14968, 29892, 13, 4706, 343, 29918, 14968, 29892, 13, 4706, 8845, 29918, 1272, 7607, 29990, 29918, 791, 29892, 343, 29918, 791, 511, 13, 4706, 9853, 29918, 2311, 29922, 5085, 29889, 16175, 29918, 2311, 29892, 13, 4706, 21502, 12168, 29922, 5085, 29889, 1022, 2878, 29879, 29892, 13, 4706, 6939, 29879, 11759, 4299, 29918, 384, 415, 29918, 14035, 1402, 13, 4706, 26952, 29922, 29906, 29892, 13, 1678, 1723, 13, 13, 1678, 4078, 29918, 4299, 29898, 4299, 29892, 6389, 29889, 4299, 29918, 4905, 29918, 3972, 29897, 13, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 13, 1678, 13812, 353, 1852, 5510, 29889, 15730, 11726, 580, 13, 13, 1678, 13812, 29889, 1202, 29918, 23516, 29898, 13, 4706, 376, 489, 4572, 29899, 29879, 7093, 613, 302, 5085, 29922, 29906, 29892, 1134, 29922, 524, 29892, 2322, 11759, 29953, 29946, 29892, 29871, 29941, 29906, 1402, 1371, 543, 5072, 2159, 411, 3309, 310, 29871, 29906, 29908, 13, 1678, 1723, 13, 1678, 13812, 29889, 1202, 29918, 23516, 29898, 13, 4706, 376, 489, 10892, 29899, 2311, 613, 1134, 29922, 524, 29892, 2322, 29922, 29906, 29945, 29953, 29892, 1371, 543, 29737, 29899, 11333, 7546, 7934, 5190, 2159, 1213, 13, 1678, 1723, 13, 1678, 13812, 29889, 1202, 29918, 23516, 29898, 13, 4706, 376, 489, 8865, 449, 29899, 29879, 7093, 613, 13, 4706, 302, 5085, 29922, 29941, 29892, 13, 4706, 1134, 29922, 7411, 29892, 13, 4706, 2322, 11759, 29900, 29889, 29941, 29892, 29871, 29900, 29889, 29941, 29892, 29871, 29900, 29889, 29945, 1402, 13, 4706, 1371, 543, 15063, 449, 7546, 2159, 411, 3309, 310, 29871, 29906, 613, 13, 1678, 1723, 13, 1678, 13812, 29889, 1202, 29918, 23516, 29898, 13, 4706, 376, 489, 1949, 29899, 13203, 613, 1134, 29922, 524, 29892, 2322, 29922, 29896, 29900, 29892, 1371, 543, 8009, 310, 770, 297, 12965, 3414, 1213, 13, 1678, 1723, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 21891, 29899, 10492, 613, 1134, 29922, 7411, 29892, 2322, 29922, 29900, 29889, 29900, 29900, 29896, 29892, 1371, 543, 15514, 6509, 6554, 23157, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 1022, 2878, 29879, 613, 1134, 29922, 524, 29892, 2322, 29922, 29896, 29900, 29897, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 16175, 29899, 2311, 613, 1134, 29922, 524, 29892, 2322, 29922, 29896, 29906, 29947, 29897, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 1688, 29899, 2311, 613, 1134, 29922, 7411, 29892, 2322, 29922, 29900, 29889, 29906, 29897, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 29885, 2932, 398, 613, 1134, 29922, 7411, 29892, 2322, 29922, 29900, 29889, 29929, 29897, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 14968, 29899, 3972, 613, 1134, 29922, 710, 29892, 2322, 29922, 359, 29889, 21813, 29889, 657, 703, 17061, 29918, 3210, 2190, 29940, 6670, 29918, 29911, 4717, 1177, 4214, 5783, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 4299, 29918, 3972, 613, 1134, 29922, 710, 29897, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 4299, 29899, 4905, 29899, 3972, 613, 1134, 29922, 710, 29892, 2322, 29922, 359, 29889, 21813, 29889, 657, 703, 17061, 29918, 20387, 29931, 29918, 9464, 5783, 13, 1678, 13812, 29889, 1202, 29918, 23516, 703, 489, 4905, 29899, 1272, 29899, 3972, 613, 1134, 29922, 710, 29892, 2322, 29922, 359, 29889, 21813, 29889, 657, 703, 17061, 29918, 12015, 12336, 29918, 14573, 29918, 9464, 5783, 13, 13, 1678, 6389, 353, 13812, 29889, 5510, 29918, 5085, 580, 13, 13, 1678, 1667, 29898, 5085, 29897, 13, 2 ]

train/manager.py

LiuTed/gym-TD

0

47066

import os import shutil import re from collections import OrderedDict import subprocess import numpy as np import atexit class Result: checkpoint = None log = None tarball = None board = None if __name__ == '__main__': results = OrderedDict() def load_files(): files = os.listdir() for f in files: res = re.match('ckpt-([0-9]{6}-[0-9]{6})', f) if res is not None: val = results.get(res.group(1), Result()) val.checkpoint = f results[res.group(1)] = val res = re.match('Result-([0-9]{6}-[0-9]{6})', f) if res is not None: val = results.get(res.group(1), Result()) val.log = f results[res.group(1)] = val res = re.match('result-([0-9]{6}-[0-9]{6}).tar.gz', f) if res is not None: val = results.get(res.group(1), Result()) val.tarball = f results[res.group(1)] = val def get_size(start, human = True): ts = 0 unit = 0 if os.path.islink(start): return ts, unit if os.path.isdir(start): for dirpath, dirnames, filenames in os.walk(start): for f in filenames: fp = os.path.join(dirpath, f) if not os.path.islink(fp): ts += os.path.getsize(fp) else: ts = os.path.getsize(start) if human: while ts >= 1024: ts /= 1024 unit += 1 return ts, unit def result_list(): print('ID:\tTime\t\tC L T B') print('Size:\tC\tL\tT') units = ['B', 'KB', 'MB', 'GB', 'TB', ''] for i, (d, r) in enumerate(results.items()): print( '{}:\t{}\t{} {} {} {}'.format( i, d, 'C' if r.checkpoint is not None else '-', 'L' if r.log is not None else '-', 'T' if r.tarball is not None else '-', 'B' if r.board is not None else '-' ) ) if r.checkpoint is not None: cs, cu = get_size(r.checkpoint) else: cs, cu = 0, 0 if r.log is not None: ls, lu = get_size(r.log) else: ls, lu = 0, 0 if r.tarball is not None: ts, tu = get_size(r.tarball) else: ts, tu = 0, 0 print( '\t{:.1f}{}\t{:.1f}{}\t{:.1f}{}'.format( cs, units[cu], ls, units[lu], ts, units[tu] ) ) def get_key_val(sid, keys, show=True): if len(sid.split('-')) == 1: id = int(sid) if id >= len(results): if show: print('Unknown index', sid) return None, None key = keys[id] else: key = sid try: val = results[key] except: if show: print('Unknown time', key) return None, None return key, val print('Checking files') load_files() print('Results:') result_list() while True: cmd = input('> ') values = list(results.values()) keys = list(results.keys()) if cmd.strip() == '': continue if cmd == 'ls' or cmd == 'list': result_list() continue if cmd == 'exit': break res = re.match('rm( checkpoint| log| tarball)*( [0-9]+| [0-9]{6}-[0-9]{6})+\s*$', cmd) if res is not None: actions = 0 dkeys = [] for m in re.finditer('checkpoint|log|tarball', cmd): act = m.group(0) if act == 'checkpoint': actions |= 1 continue if act == 'log': actions |= 2 continue if act == 'tarball': actions |= 4 continue for m in re.finditer(' [0-9]+| [0-9]{6}-[0-9]{6}', cmd): sid = m.group(0) key, val = get_key_val(sid.strip(), keys) if key is None: continue dkeys.append(key) if actions == 0: actions = 7 dkeys = np.unique(dkeys) if len(dkeys) == 0: print('Has nothing to delete') continue print('Deleting the{}{}{} of the following results:'.format( ' checkpoint' if actions & 1 != 0 else '', ' log' if actions & 2 != 0 else '', ' tarball' if actions & 4 != 0 else '' )) for key in dkeys: print(key) ck = input('[y/N] ') if ck.upper() == 'Y': for key in dkeys: val = results[key] if actions & 1 != 0 and val.checkpoint is not None: print('Deleting', val.checkpoint) shutil.rmtree(val.checkpoint) val.checkpoint = None if actions & 2 != 0 and val.log is not None: if val.board is not None: print('Closing the tensorboard process of result {}'.format(key)) val.board.terminate() val.board.wait(10) if val.board.poll() is None: val.board.kill() val.board = None print('Deleting', val.log) shutil.rmtree(val.log) val.log = None if actions & 4 != 0 and val.tarball is not None: print('Deleting', val.tarball) os.remove(val.tarball) val.tarball = None if val.checkpoint is not None\ or val.log is not None\ or val.tarball is not None: results[key] = val else: results.pop(key) load_files() continue res = re.match('board ([0-9]+|[0-9]{6}-[0-9]{6})\s*$', cmd) if res is not None: sid = res.group(1) key, val = get_key_val(sid, keys) if key is None: continue if val.board is not None: print('board of {} is running'.format(key)) continue if val.log is None: print('log of {} does not exists'.format(key)) continue subp = subprocess.Popen( ['tensorboard', '--logdir='+val.log, '--bind_all'], shell = False, stdout = subprocess.DEVNULL ) val.board = subp results[key] = val continue res = re.match('stop ([0-9]+|[0-9]{6}-[0-9]{6})\s*$', cmd) if res is not None: sid = res.group(1) key, val = get_key_val(sid, keys) if key is None: continue if val.board is None: print('board of {} is not running'.format(key)) continue val.board.terminate() val.board.wait() val.board = None results[key] = val continue res = re.match('pack ([0-9]+|[0-9]{6}-[0-9]{6})\s*$', cmd) if res is not None: sid = res.group(1) key, val = get_key_val(sid, keys) if key is None: continue if val.tarball is not None: print('tarball of {} has already existed'.format(key)) continue subp = subprocess.Popen( 'tar czvf result-{}.tar.gz {} {}'.format( key, val.checkpoint or '', val.log or '' ), shell = True ) subp.wait() val.tarball = 'result-{}.tar.gz'.format(key) results[key] = val continue res = re.match('unpack ([0-9]+|[0-9]{6}-[0-9]{6})\s*$', cmd) if res is not None: sid = res.group(1) key, val = get_key_val(sid, keys) if key is None: continue if val.tarball is None: print('tarball of {} does not exist'.format(key)) continue subp = subprocess.Popen( 'tar xzvf {}'.format(val.tarball), shell = True ) subp.wait() load_files() continue if cmd != 'help': print('Unknown command', cmd) print('''Usage: help: show this message ls: list the status of results with format \'ID: time has_checkpoint has_log has_tarball if_tensorboard_running\' rm [checkpoint] [log] [tarball] id/time[ id/time[ ...]]: remove the results listed (double check needed) board id/time: execute tensorboard to visualize the result specified stop id/time: stop tensorboard of that result pack id/time: pack the result into tar ball unpack id/time: unpack the tar ball of result exit: exit''' )

[ 1, 1053, 2897, 13, 5215, 528, 4422, 13, 5215, 337, 13, 3166, 16250, 1053, 8170, 287, 21533, 13, 5215, 1014, 5014, 13, 5215, 12655, 408, 7442, 13, 5215, 263, 4776, 277, 13, 13, 1990, 7867, 29901, 13, 1678, 1423, 3149, 353, 6213, 13, 1678, 1480, 353, 6213, 13, 1678, 9913, 2135, 353, 6213, 13, 1678, 7613, 353, 6213, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 2582, 353, 8170, 287, 21533, 580, 13, 13, 1678, 822, 2254, 29918, 5325, 7295, 13, 4706, 2066, 353, 2897, 29889, 1761, 3972, 580, 13, 4706, 363, 285, 297, 2066, 29901, 13, 9651, 620, 353, 337, 29889, 4352, 877, 384, 415, 29899, 4197, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 1800, 742, 285, 29897, 13, 9651, 565, 620, 338, 451, 6213, 29901, 13, 18884, 659, 353, 2582, 29889, 657, 29898, 690, 29889, 2972, 29898, 29896, 511, 7867, 3101, 13, 18884, 659, 29889, 3198, 3149, 353, 285, 13, 18884, 2582, 29961, 690, 29889, 2972, 29898, 29896, 4638, 353, 659, 13, 9651, 620, 353, 337, 29889, 4352, 877, 3591, 29899, 4197, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 1800, 742, 285, 29897, 13, 9651, 565, 620, 338, 451, 6213, 29901, 13, 18884, 659, 353, 2582, 29889, 657, 29898, 690, 29889, 2972, 29898, 29896, 511, 7867, 3101, 13, 18884, 659, 29889, 1188, 353, 285, 13, 18884, 2582, 29961, 690, 29889, 2972, 29898, 29896, 4638, 353, 659, 13, 9651, 620, 353, 337, 29889, 4352, 877, 2914, 29899, 4197, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 7690, 12637, 29889, 18828, 742, 285, 29897, 13, 9651, 565, 620, 338, 451, 6213, 29901, 13, 18884, 659, 353, 2582, 29889, 657, 29898, 690, 29889, 2972, 29898, 29896, 511, 7867, 3101, 13, 18884, 659, 29889, 12637, 2135, 353, 285, 13, 18884, 2582, 29961, 690, 29889, 2972, 29898, 29896, 4638, 353, 659, 13, 268, 13, 1678, 822, 679, 29918, 2311, 29898, 2962, 29892, 5199, 353, 5852, 1125, 13, 4706, 18696, 353, 29871, 29900, 13, 4706, 5190, 353, 29871, 29900, 13, 4706, 565, 2897, 29889, 2084, 29889, 275, 2324, 29898, 2962, 1125, 13, 9651, 736, 18696, 29892, 5190, 13, 4706, 565, 2897, 29889, 2084, 29889, 275, 3972, 29898, 2962, 1125, 13, 9651, 363, 4516, 2084, 29892, 4516, 7039, 29892, 977, 264, 1280, 297, 2897, 29889, 20919, 29898, 2962, 1125, 13, 18884, 363, 285, 297, 977, 264, 1280, 29901, 13, 462, 1678, 285, 29886, 353, 2897, 29889, 2084, 29889, 7122, 29898, 3972, 2084, 29892, 285, 29897, 13, 462, 1678, 565, 451, 2897, 29889, 2084, 29889, 275, 2324, 29898, 18091, 1125, 13, 462, 4706, 18696, 4619, 2897, 29889, 2084, 29889, 657, 2311, 29898, 18091, 29897, 13, 4706, 1683, 29901, 13, 9651, 18696, 353, 2897, 29889, 2084, 29889, 657, 2311, 29898, 2962, 29897, 13, 4706, 565, 5199, 29901, 13, 9651, 1550, 18696, 6736, 29871, 29896, 29900, 29906, 29946, 29901, 13, 18884, 18696, 847, 29922, 29871, 29896, 29900, 29906, 29946, 13, 18884, 5190, 4619, 29871, 29896, 13, 4706, 736, 18696, 29892, 5190, 13, 268, 13, 1678, 822, 1121, 29918, 1761, 7295, 13, 4706, 1596, 877, 1367, 3583, 29873, 2481, 29905, 29873, 29905, 29873, 29907, 365, 323, 350, 1495, 13, 4706, 1596, 877, 3505, 3583, 29873, 29907, 29905, 29873, 29931, 29905, 29873, 29911, 1495, 13, 4706, 10340, 353, 6024, 29933, 742, 525, 26067, 742, 525, 9486, 742, 525, 7210, 742, 525, 24895, 742, 525, 2033, 13, 4706, 363, 474, 29892, 313, 29881, 29892, 364, 29897, 297, 26985, 29898, 9902, 29889, 7076, 580, 1125, 13, 9651, 1596, 29898, 13, 18884, 525, 8875, 3583, 29873, 29912, 1012, 29873, 8875, 6571, 6571, 6571, 4286, 4830, 29898, 13, 462, 1678, 474, 29892, 13, 462, 1678, 270, 29892, 13, 462, 1678, 525, 29907, 29915, 565, 364, 29889, 3198, 3149, 338, 451, 6213, 1683, 17411, 742, 13, 462, 1678, 525, 29931, 29915, 565, 364, 29889, 1188, 338, 451, 6213, 1683, 17411, 742, 13, 462, 1678, 525, 29911, 29915, 565, 364, 29889, 12637, 2135, 338, 451, 6213, 1683, 17411, 742, 13, 462, 1678, 525, 29933, 29915, 565, 364, 29889, 3377, 338, 451, 6213, 1683, 17411, 29915, 13, 18884, 1723, 13, 9651, 1723, 13, 9651, 565, 364, 29889, 3198, 3149, 338, 451, 6213, 29901, 13, 18884, 5939, 29892, 2723, 353, 679, 29918, 2311, 29898, 29878, 29889, 3198, 3149, 29897, 13, 9651, 1683, 29901, 13, 18884, 5939, 29892, 2723, 353, 29871, 29900, 29892, 29871, 29900, 13, 9651, 565, 364, 29889, 1188, 338, 451, 6213, 29901, 13, 18884, 19375, 29892, 8092, 353, 679, 29918, 2311, 29898, 29878, 29889, 1188, 29897, 13, 9651, 1683, 29901, 13, 18884, 19375, 29892, 8092, 353, 29871, 29900, 29892, 29871, 29900, 13, 9651, 565, 364, 29889, 12637, 2135, 338, 451, 6213, 29901, 13, 18884, 18696, 29892, 5291, 353, 679, 29918, 2311, 29898, 29878, 29889, 12637, 2135, 29897, 13, 9651, 1683, 29901, 13, 18884, 18696, 29892, 5291, 353, 29871, 29900, 29892, 29871, 29900, 13, 9651, 1596, 29898, 13, 18884, 11297, 29873, 25641, 29889, 29896, 29888, 1157, 1012, 29873, 25641, 29889, 29896, 29888, 1157, 1012, 29873, 25641, 29889, 29896, 29888, 1157, 29913, 4286, 4830, 29898, 13, 462, 1678, 5939, 29892, 10340, 29961, 4979, 1402, 13, 462, 1678, 19375, 29892, 10340, 29961, 6092, 1402, 13, 462, 1678, 18696, 29892, 10340, 29961, 9161, 29962, 13, 18884, 1723, 13, 9651, 1723, 13, 268, 13, 1678, 822, 679, 29918, 1989, 29918, 791, 29898, 29879, 333, 29892, 6611, 29892, 1510, 29922, 5574, 1125, 13, 4706, 565, 7431, 29898, 29879, 333, 29889, 5451, 877, 29899, 8785, 1275, 29871, 29896, 29901, 13, 9651, 1178, 353, 938, 29898, 29879, 333, 29897, 13, 9651, 565, 1178, 6736, 7431, 29898, 9902, 1125, 13, 18884, 565, 1510, 29901, 13, 462, 1678, 1596, 877, 14148, 2380, 742, 25349, 29897, 13, 18884, 736, 6213, 29892, 6213, 13, 9651, 1820, 353, 6611, 29961, 333, 29962, 13, 4706, 1683, 29901, 13, 9651, 1820, 353, 25349, 13, 4706, 1018, 29901, 13, 9651, 659, 353, 2582, 29961, 1989, 29962, 13, 4706, 5174, 29901, 13, 9651, 565, 1510, 29901, 13, 18884, 1596, 877, 14148, 931, 742, 1820, 29897, 13, 9651, 736, 6213, 29892, 6213, 13, 4706, 736, 1820, 29892, 659, 13, 308, 13, 1678, 1596, 877, 5596, 292, 2066, 1495, 13, 1678, 2254, 29918, 5325, 580, 13, 13, 1678, 1596, 877, 12191, 29901, 1495, 13, 1678, 1121, 29918, 1761, 580, 13, 13, 1678, 1550, 5852, 29901, 13, 4706, 9920, 353, 1881, 877, 29958, 25710, 13, 4706, 1819, 353, 1051, 29898, 9902, 29889, 5975, 3101, 13, 4706, 6611, 353, 1051, 29898, 9902, 29889, 8149, 3101, 13, 13, 4706, 565, 9920, 29889, 17010, 580, 1275, 525, 2396, 13, 9651, 6773, 13, 13, 4706, 565, 9920, 1275, 525, 3137, 29915, 470, 9920, 1275, 525, 1761, 2396, 13, 9651, 1121, 29918, 1761, 580, 13, 9651, 6773, 13, 308, 13, 4706, 565, 9920, 1275, 525, 13322, 2396, 13, 9651, 2867, 13, 13, 4706, 620, 353, 337, 29889, 4352, 877, 1758, 29898, 1423, 3149, 29989, 1480, 29989, 9913, 2135, 11877, 29898, 518, 29900, 29899, 29929, 10062, 29989, 518, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 1800, 3124, 29879, 29394, 742, 9920, 29897, 13, 4706, 565, 620, 338, 451, 6213, 29901, 13, 9651, 8820, 353, 29871, 29900, 13, 9651, 270, 8149, 353, 5159, 13, 9651, 363, 286, 297, 337, 29889, 2886, 1524, 877, 3198, 3149, 29989, 1188, 29989, 12637, 2135, 742, 9920, 1125, 13, 18884, 1044, 353, 286, 29889, 2972, 29898, 29900, 29897, 13, 18884, 565, 1044, 1275, 525, 3198, 3149, 2396, 13, 462, 1678, 8820, 891, 29922, 29871, 29896, 13, 462, 1678, 6773, 13, 18884, 565, 1044, 1275, 525, 1188, 2396, 13, 462, 1678, 8820, 891, 29922, 29871, 29906, 13, 462, 1678, 6773, 13, 18884, 565, 1044, 1275, 525, 12637, 2135, 2396, 13, 462, 1678, 8820, 891, 29922, 29871, 29946, 13, 462, 1678, 6773, 13, 9651, 363, 286, 297, 337, 29889, 2886, 1524, 877, 518, 29900, 29899, 29929, 10062, 29989, 518, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 29913, 742, 9920, 1125, 13, 18884, 25349, 353, 286, 29889, 2972, 29898, 29900, 29897, 13, 18884, 1820, 29892, 659, 353, 679, 29918, 1989, 29918, 791, 29898, 29879, 333, 29889, 17010, 3285, 6611, 29897, 13, 18884, 565, 1820, 338, 6213, 29901, 13, 462, 1678, 6773, 13, 18884, 270, 8149, 29889, 4397, 29898, 1989, 29897, 13, 9651, 565, 8820, 1275, 29871, 29900, 29901, 13, 18884, 8820, 353, 29871, 29955, 13, 9651, 270, 8149, 353, 7442, 29889, 13092, 29898, 29881, 8149, 29897, 13, 9651, 565, 7431, 29898, 29881, 8149, 29897, 1275, 29871, 29900, 29901, 13, 18884, 1596, 877, 14510, 3078, 304, 5217, 1495, 13, 18884, 6773, 13, 9651, 1596, 877, 2772, 1026, 292, 278, 29912, 1157, 1157, 29913, 310, 278, 1494, 2582, 29901, 4286, 4830, 29898, 13, 18884, 525, 1423, 3149, 29915, 565, 8820, 669, 29871, 29896, 2804, 29871, 29900, 1683, 15516, 13, 18884, 525, 1480, 29915, 565, 8820, 669, 29871, 29906, 2804, 29871, 29900, 1683, 15516, 13, 18884, 525, 9913, 2135, 29915, 565, 8820, 669, 29871, 29946, 2804, 29871, 29900, 1683, 6629, 13, 632, 876, 13, 9651, 363, 1820, 297, 270, 8149, 29901, 13, 18884, 1596, 29898, 1989, 29897, 13, 9651, 274, 29895, 353, 1881, 877, 29961, 29891, 29914, 29940, 29962, 25710, 13, 9651, 565, 274, 29895, 29889, 21064, 580, 1275, 525, 29979, 2396, 13, 18884, 363, 1820, 297, 270, 8149, 29901, 13, 462, 1678, 659, 353, 2582, 29961, 1989, 29962, 13, 462, 1678, 565, 8820, 669, 29871, 29896, 2804, 29871, 29900, 322, 659, 29889, 3198, 3149, 338, 451, 6213, 29901, 13, 462, 4706, 1596, 877, 2772, 1026, 292, 742, 659, 29889, 3198, 3149, 29897, 13, 462, 4706, 528, 4422, 29889, 1758, 8336, 29898, 791, 29889, 3198, 3149, 29897, 13, 462, 4706, 659, 29889, 3198, 3149, 353, 6213, 13, 462, 1678, 565, 8820, 669, 29871, 29906, 2804, 29871, 29900, 322, 659, 29889, 1188, 338, 451, 6213, 29901, 13, 462, 4706, 565, 659, 29889, 3377, 338, 451, 6213, 29901, 13, 462, 9651, 1596, 877, 29907, 5409, 292, 278, 12489, 3377, 1889, 310, 1121, 6571, 4286, 4830, 29898, 1989, 876, 13, 462, 9651, 659, 29889, 3377, 29889, 18821, 403, 580, 13, 462, 9651, 659, 29889, 3377, 29889, 10685, 29898, 29896, 29900, 29897, 13, 462, 9651, 565, 659, 29889, 3377, 29889, 29886, 3028, 580, 338, 6213, 29901, 13, 462, 18884, 659, 29889, 3377, 29889, 21174, 580, 13, 462, 9651, 659, 29889, 3377, 353, 6213, 13, 462, 4706, 1596, 877, 2772, 1026, 292, 742, 659, 29889, 1188, 29897, 13, 462, 4706, 528, 4422, 29889, 1758, 8336, 29898, 791, 29889, 1188, 29897, 13, 462, 4706, 659, 29889, 1188, 353, 6213, 13, 462, 1678, 565, 8820, 669, 29871, 29946, 2804, 29871, 29900, 322, 659, 29889, 12637, 2135, 338, 451, 6213, 29901, 13, 462, 4706, 1596, 877, 2772, 1026, 292, 742, 659, 29889, 12637, 2135, 29897, 13, 462, 4706, 2897, 29889, 5992, 29898, 791, 29889, 12637, 2135, 29897, 13, 462, 4706, 659, 29889, 12637, 2135, 353, 6213, 13, 462, 1678, 565, 659, 29889, 3198, 3149, 338, 451, 6213, 29905, 13, 462, 308, 470, 659, 29889, 1188, 338, 451, 6213, 29905, 13, 462, 308, 470, 659, 29889, 12637, 2135, 338, 451, 6213, 29901, 13, 462, 4706, 2582, 29961, 1989, 29962, 353, 659, 13, 462, 1678, 1683, 29901, 13, 462, 4706, 2582, 29889, 7323, 29898, 1989, 29897, 13, 9651, 2254, 29918, 5325, 580, 13, 9651, 6773, 13, 13, 4706, 620, 353, 337, 29889, 4352, 877, 3377, 9310, 29900, 29899, 29929, 10062, 29989, 29961, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 11606, 29879, 29394, 742, 9920, 29897, 13, 4706, 565, 620, 338, 451, 6213, 29901, 13, 9651, 25349, 353, 620, 29889, 2972, 29898, 29896, 29897, 13, 9651, 1820, 29892, 659, 353, 679, 29918, 1989, 29918, 791, 29898, 29879, 333, 29892, 6611, 29897, 13, 9651, 565, 1820, 338, 6213, 29901, 13, 18884, 6773, 13, 9651, 565, 659, 29889, 3377, 338, 451, 6213, 29901, 13, 18884, 1596, 877, 3377, 310, 6571, 338, 2734, 4286, 4830, 29898, 1989, 876, 13, 18884, 6773, 13, 9651, 565, 659, 29889, 1188, 338, 6213, 29901, 13, 18884, 1596, 877, 1188, 310, 6571, 947, 451, 4864, 4286, 4830, 29898, 1989, 876, 13, 18884, 6773, 13, 9651, 1014, 29886, 353, 1014, 5014, 29889, 29925, 3150, 29898, 13, 18884, 6024, 20158, 3377, 742, 525, 489, 1188, 3972, 2433, 29974, 791, 29889, 1188, 29892, 525, 489, 5355, 29918, 497, 7464, 13, 18884, 6473, 353, 7700, 29892, 13, 18884, 27591, 353, 1014, 5014, 29889, 2287, 29963, 10074, 13, 9651, 1723, 13, 9651, 659, 29889, 3377, 353, 1014, 29886, 13, 9651, 2582, 29961, 1989, 29962, 353, 659, 13, 9651, 6773, 13, 13, 4706, 620, 353, 337, 29889, 4352, 877, 9847, 9310, 29900, 29899, 29929, 10062, 29989, 29961, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 11606, 29879, 29394, 742, 9920, 29897, 13, 4706, 565, 620, 338, 451, 6213, 29901, 13, 9651, 25349, 353, 620, 29889, 2972, 29898, 29896, 29897, 13, 9651, 1820, 29892, 659, 353, 679, 29918, 1989, 29918, 791, 29898, 29879, 333, 29892, 6611, 29897, 13, 9651, 565, 1820, 338, 6213, 29901, 13, 18884, 6773, 13, 9651, 565, 659, 29889, 3377, 338, 6213, 29901, 13, 18884, 1596, 877, 3377, 310, 6571, 338, 451, 2734, 4286, 4830, 29898, 1989, 876, 13, 18884, 6773, 13, 9651, 659, 29889, 3377, 29889, 18821, 403, 580, 13, 9651, 659, 29889, 3377, 29889, 10685, 580, 13, 9651, 659, 29889, 3377, 353, 6213, 13, 9651, 2582, 29961, 1989, 29962, 353, 659, 13, 9651, 6773, 13, 13, 4706, 620, 353, 337, 29889, 4352, 877, 4058, 9310, 29900, 29899, 29929, 10062, 29989, 29961, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 11606, 29879, 29394, 742, 9920, 29897, 13, 4706, 565, 620, 338, 451, 6213, 29901, 13, 9651, 25349, 353, 620, 29889, 2972, 29898, 29896, 29897, 13, 9651, 1820, 29892, 659, 353, 679, 29918, 1989, 29918, 791, 29898, 29879, 333, 29892, 6611, 29897, 13, 9651, 565, 1820, 338, 6213, 29901, 13, 18884, 6773, 13, 9651, 565, 659, 29889, 12637, 2135, 338, 451, 6213, 29901, 13, 18884, 1596, 877, 12637, 2135, 310, 6571, 756, 2307, 22856, 4286, 4830, 29898, 1989, 876, 13, 18884, 6773, 13, 9651, 1014, 29886, 353, 1014, 5014, 29889, 29925, 3150, 29898, 13, 18884, 525, 12637, 5316, 29894, 29888, 1121, 29899, 29912, 1836, 12637, 29889, 18828, 6571, 6571, 4286, 4830, 29898, 13, 462, 1678, 1820, 29892, 659, 29889, 3198, 3149, 470, 15516, 659, 29889, 1188, 470, 6629, 13, 18884, 10353, 13, 18884, 6473, 353, 5852, 13, 9651, 1723, 13, 9651, 1014, 29886, 29889, 10685, 580, 13, 9651, 659, 29889, 12637, 2135, 353, 525, 2914, 29899, 29912, 1836, 12637, 29889, 18828, 4286, 4830, 29898, 1989, 29897, 13, 9651, 2582, 29961, 1989, 29962, 353, 659, 13, 9651, 6773, 13, 13, 4706, 620, 353, 337, 29889, 4352, 877, 348, 4058, 9310, 29900, 29899, 29929, 10062, 29989, 29961, 29900, 29899, 29929, 3199, 29953, 7402, 29961, 29900, 29899, 29929, 3199, 29953, 11606, 29879, 29394, 742, 9920, 29897, 13, 4706, 565, 620, 338, 451, 6213, 29901, 13, 9651, 25349, 353, 620, 29889, 2972, 29898, 29896, 29897, 13, 9651, 1820, 29892, 659, 353, 679, 29918, 1989, 29918, 791, 29898, 29879, 333, 29892, 6611, 29897, 13, 9651, 565, 1820, 338, 6213, 29901, 13, 18884, 6773, 13, 9651, 565, 659, 29889, 12637, 2135, 338, 6213, 29901, 13, 18884, 1596, 877, 12637, 2135, 310, 6571, 947, 451, 1863, 4286, 4830, 29898, 1989, 876, 13, 18884, 6773, 13, 9651, 1014, 29886, 353, 1014, 5014, 29889, 29925, 3150, 29898, 13, 18884, 525, 12637, 921, 29920, 29894, 29888, 6571, 4286, 4830, 29898, 791, 29889, 12637, 2135, 511, 13, 18884, 6473, 353, 5852, 13, 9651, 1723, 13, 9651, 1014, 29886, 29889, 10685, 580, 13, 9651, 2254, 29918, 5325, 580, 13, 9651, 6773, 13, 308, 13, 4706, 565, 9920, 2804, 525, 8477, 2396, 13, 9651, 1596, 877, 14148, 1899, 742, 9920, 29897, 13, 4706, 1596, 877, 4907, 27573, 29901, 13, 1678, 1371, 29901, 1510, 445, 2643, 13, 1678, 19375, 29901, 1051, 278, 4660, 310, 2582, 411, 3402, 320, 29915, 1367, 29901, 931, 756, 29918, 3198, 3149, 756, 29918, 1188, 756, 29918, 12637, 2135, 565, 29918, 20158, 3377, 29918, 21094, 20333, 13, 1678, 20241, 518, 3198, 3149, 29962, 518, 1188, 29962, 518, 12637, 2135, 29962, 1178, 29914, 2230, 29961, 1178, 29914, 2230, 29961, 2023, 5262, 29901, 3349, 278, 2582, 9904, 313, 8896, 1423, 4312, 29897, 13, 1678, 7613, 1178, 29914, 2230, 29901, 6222, 12489, 3377, 304, 7604, 675, 278, 1121, 6790, 13, 1678, 5040, 1178, 29914, 2230, 29901, 5040, 12489, 3377, 310, 393, 1121, 13, 1678, 4870, 1178, 29914, 2230, 29901, 4870, 278, 1121, 964, 9913, 8287, 13, 1678, 443, 4058, 1178, 29914, 2230, 29901, 443, 4058, 278, 9913, 8287, 310, 1121, 13, 1678, 6876, 29901, 6876, 12008, 13, 4706, 1723, 13, 632, 13, 308, 13, 2 ]

cpro/migrations/0003_auto_20160918_0506.py

FlockyChou/CinderellaProducers

0

60691

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations import cpro.models class Migration(migrations.Migration): dependencies = [ ('cpro', '0002_auto_20160916_2110'), ] operations = [ migrations.AddField( model_name='card', name='_cache_event_image', field=models.ImageField(null=True, upload_to=cpro.models.uploadItem(b'e'), blank=True), preserve_default=True, ), migrations.AddField( model_name='card', name='_cache_event_last_update', field=models.DateTimeField(null=True), preserve_default=True, ), migrations.AddField( model_name='card', name='_cache_event_name', field=models.CharField(max_length=100, null=True), preserve_default=True, ), migrations.AddField( model_name='card', name='_cache_event_translated_name', field=models.CharField(max_length=100, null=True), preserve_default=True, ), migrations.AlterField( model_name='event', name='i_kind', field=models.PositiveIntegerField(default=0, verbose_name='Kind', choices=[(0, 'Token'), (1, 'Medley'), (2, 'Coop'), (3, 'Caravan')]), preserve_default=True, ), ]

[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 3166, 9557, 29889, 2585, 1053, 4733, 29892, 9725, 800, 13, 5215, 274, 771, 29889, 9794, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 29883, 771, 742, 525, 29900, 29900, 29900, 29906, 29918, 6921, 29918, 29906, 29900, 29896, 29953, 29900, 29929, 29896, 29953, 29918, 29906, 29896, 29896, 29900, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 7543, 742, 13, 9651, 1024, 2433, 29918, 8173, 29918, 3696, 29918, 3027, 742, 13, 9651, 1746, 29922, 9794, 29889, 2940, 3073, 29898, 4304, 29922, 5574, 29892, 6441, 29918, 517, 29922, 29883, 771, 29889, 9794, 29889, 9009, 2001, 29898, 29890, 29915, 29872, 5477, 9654, 29922, 5574, 511, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 7543, 742, 13, 9651, 1024, 2433, 29918, 8173, 29918, 3696, 29918, 4230, 29918, 5504, 742, 13, 9651, 1746, 29922, 9794, 29889, 11384, 3073, 29898, 4304, 29922, 5574, 511, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 7543, 742, 13, 9651, 1024, 2433, 29918, 8173, 29918, 3696, 29918, 978, 742, 13, 9651, 1746, 29922, 9794, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29896, 29900, 29900, 29892, 1870, 29922, 5574, 511, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2528, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 7543, 742, 13, 9651, 1024, 2433, 29918, 8173, 29918, 3696, 29918, 3286, 29880, 630, 29918, 978, 742, 13, 9651, 1746, 29922, 9794, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29896, 29900, 29900, 29892, 1870, 29922, 5574, 511, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 3696, 742, 13, 9651, 1024, 2433, 29875, 29918, 14380, 742, 13, 9651, 1746, 29922, 9794, 29889, 9135, 3321, 7798, 3073, 29898, 4381, 29922, 29900, 29892, 26952, 29918, 978, 2433, 11885, 742, 19995, 11759, 29898, 29900, 29892, 525, 6066, 5477, 313, 29896, 29892, 525, 19302, 2330, 5477, 313, 29906, 29892, 525, 7967, 459, 5477, 313, 29941, 29892, 525, 8179, 29080, 1495, 11724, 13, 9651, 19905, 29918, 4381, 29922, 5574, 29892, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]

tests/cli_test.py

hall-lab/lah

0

181946

<reponame>hall-lab/lah import click, os, unittest from click.testing import CliRunner from lah.cli import cli as lah_cli @click.command() def the_test_cmd(): print("Hello World!") lah_cli.add_command(the_test_cmd, "test") class CliTest(unittest.TestCase): def test_lah(self): runner = CliRunner() result = runner.invoke(lah_cli, []) self.assertEqual(result.exit_code, 0) result = runner.invoke(lah_cli, ["-h"]) self.assertEqual(result.exit_code, 0) result = runner.invoke(lah_cli, ["--help"]) self.assertEqual(result.exit_code, 0) result = runner.invoke(lah_cli, ["test"]) self.assertEqual(result.exit_code, 0) self.assertEqual(result.output, "Hello World!\n") dbfile = os.path.join(os.path.dirname(__file__), "data", "dataset", "test.db") result = runner.invoke(lah_cli, ["test"]) #result = runner.invoke(lah_cli, ["-d", dbfile, "test"]) self.assertEqual(result.exit_code, 0) # -- CliTest if __name__ == '__main__': unittest.main(verbosity=2) #-- __main__

[ 1, 529, 276, 1112, 420, 29958, 27090, 29899, 8205, 29914, 8083, 13, 5215, 2828, 29892, 2897, 29892, 443, 27958, 13, 3166, 2828, 29889, 13424, 1053, 315, 492, 16802, 13, 13, 3166, 425, 29882, 29889, 11303, 1053, 9335, 408, 425, 29882, 29918, 11303, 13, 13, 29992, 3808, 29889, 6519, 580, 13, 1753, 278, 29918, 1688, 29918, 9006, 7295, 13, 1678, 1596, 703, 10994, 2787, 29991, 1159, 13, 8083, 29918, 11303, 29889, 1202, 29918, 6519, 29898, 1552, 29918, 1688, 29918, 9006, 29892, 376, 1688, 1159, 13, 13, 1990, 315, 492, 3057, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 1678, 822, 1243, 29918, 8083, 29898, 1311, 1125, 13, 4706, 28877, 353, 315, 492, 16802, 580, 13, 13, 4706, 1121, 353, 28877, 29889, 9772, 29898, 8083, 29918, 11303, 29892, 518, 2314, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2914, 29889, 13322, 29918, 401, 29892, 29871, 29900, 29897, 13, 13, 4706, 1121, 353, 28877, 29889, 9772, 29898, 8083, 29918, 11303, 29892, 6796, 29899, 29882, 20068, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2914, 29889, 13322, 29918, 401, 29892, 29871, 29900, 29897, 13, 13, 4706, 1121, 353, 28877, 29889, 9772, 29898, 8083, 29918, 11303, 29892, 6796, 489, 8477, 20068, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2914, 29889, 13322, 29918, 401, 29892, 29871, 29900, 29897, 13, 13, 4706, 1121, 353, 28877, 29889, 9772, 29898, 8083, 29918, 11303, 29892, 6796, 1688, 20068, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2914, 29889, 13322, 29918, 401, 29892, 29871, 29900, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2914, 29889, 4905, 29892, 376, 10994, 2787, 9903, 29876, 1159, 13, 13, 4706, 4833, 1445, 353, 2897, 29889, 2084, 29889, 7122, 29898, 359, 29889, 2084, 29889, 25721, 22168, 1445, 1649, 511, 376, 1272, 613, 376, 24713, 613, 376, 1688, 29889, 2585, 1159, 13, 4706, 1121, 353, 28877, 29889, 9772, 29898, 8083, 29918, 11303, 29892, 6796, 1688, 20068, 13, 4706, 396, 2914, 353, 28877, 29889, 9772, 29898, 8083, 29918, 11303, 29892, 6796, 29899, 29881, 613, 4833, 1445, 29892, 376, 1688, 20068, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2914, 29889, 13322, 29918, 401, 29892, 29871, 29900, 29897, 13, 13, 29937, 1192, 315, 492, 3057, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 443, 27958, 29889, 3396, 29898, 18248, 359, 537, 29922, 29906, 29897, 13, 13, 29937, 489, 4770, 3396, 1649, 13, 2 ]

flink-ai-flow/ai_flow/test/deployer/test_scheduler.py

MarvinMiao/flink-ai-extended

1

119145

<reponame>MarvinMiao/flink-ai-extended # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # import os import time import unittest import sys from ai_flow.rest_endpoint.service.client.aiflow_client import AIFlowClient import ai_flow as af from ai_flow.deployer.scheduler import EventScheduler from ai_flow.graph.edge import JobControlEdge, MetConfig, generate_job_status_key from ai_flow.graph.edge import TaskAction from ai_flow.meta.job_meta import State from ai_flow.plugins.local_cmd_job_plugin import LocalCMDJob from ai_flow.rest_endpoint.service.server import AIFlowServer from ai_flow.store.db.base_model import base from ai_flow.store.sqlalchemy_store import SqlAlchemyStore from ai_flow.test.rest_endpoint.test_client import _SQLITE_DB_FILE, _PORT, _SQLITE_DB_URI from ai_flow.workflow.job import BaseJob, BaseJobConfig from ai_flow.workflow.job_config import PeriodicConfig from ai_flow.workflow.job_context import JobContext from ai_flow.workflow.workflow import Workflow client: AIFlowClient = None class TestScheduler(unittest.TestCase): @classmethod def setUpClass(cls) -> None: if os.path.exists(_SQLITE_DB_FILE): os.remove(_SQLITE_DB_FILE) cls.server = AIFlowServer(store_uri=_SQLITE_DB_URI, port=_PORT) cls.sc_manager = cls.server.deploy_service.scheduler_manager cls.server.run() global client client = AIFlowClient(server_uri='localhost:' + _PORT) cls.ls_manager = cls.sc_manager.listener_manager @classmethod def tearDownClass(cls) -> None: client.stop_listen_event() store = SqlAlchemyStore(_SQLITE_DB_URI) base.metadata.drop_all(store.db_engine) os.remove(_SQLITE_DB_FILE) def tearDown(self) -> None: print('tearDown') store = SqlAlchemyStore(_SQLITE_DB_URI) base.metadata.drop_all(store.db_engine) base.metadata.create_all(store.db_engine) af.default_graph().clear_graph() res = client.list_job(page_size=10, offset=0) self.assertIsNone(res) @staticmethod def create_job(index, sleep_time=5) -> BaseJob: job: BaseJob = LocalCMDJob(exec_cmd='echo "hello {}\n" && sleep {}'.format(str(index), str(sleep_time))) job.job_context = JobContext() job.job_context.workflow_execution_id = 1 job.instance_id = str(index) + "_job" job.uuid = index job.job_name = job.instance_id return job @staticmethod def create_workflow() -> Workflow: workflow = Workflow() for i in range(3): job = TestScheduler.create_job(i, 1) workflow.add_job(job) deps = [] deps.append(JobControlEdge(target_node_id='0_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('0_job'), event_value=State.FINISHED.value))) deps.append(JobControlEdge(target_node_id='1_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('1_job'), event_value=State.FINISHED.value))) workflow.add_edges("2_job", deps) workflow.workflow_id = 1 return workflow @staticmethod def create_workflow_one_job() -> Workflow: workflow = Workflow() workflow.workflow_id = 1 job = TestScheduler.create_job(0, 1) workflow.add_job(job) return workflow @staticmethod def create_stream_workflow() -> Workflow: workflow = Workflow() for i in range(3): job = TestScheduler.create_job(i, 5) workflow.add_job(job) deps = [] deps.append(JobControlEdge(target_node_id='0_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('0_job'), event_value=State.FINISHED.value))) deps.append(JobControlEdge(target_node_id='1_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('1_job'), event_value=State.FINISHED.value))) workflow.add_edges("2_job", deps) workflow.workflow_id = 1 job = TestScheduler.create_job(3, 1) workflow.add_job(job) dep2 = [] dep2.append(JobControlEdge(target_node_id='0_job', source_node_id='3_job', met_config=MetConfig(event_key='key1', event_value='value1'))) workflow.add_edges('3_job', dep2) return workflow def test_stream_repeat_stream_job(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_stream_workflow() TestScheduler.sc_manager.schedule_workflow(workflow=workflow) client.publish_event(key='key1', value='value1') client.publish_event(key='key1', value='value1') TestScheduler.sc_manager.wait_finished(workflow.workflow_id) res = TestScheduler.sc_manager.get_schedule_result(workflow_id=workflow.workflow_id) self.assertEqual(0, res) res = client.list_job(page_size=10, offset=0) # self.assertEqual(5, len(res)) self.assertEqual(State.FINISHED, res[0].job_state) def test_event_scheduler(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_workflow() workflow.workflow_id = 1 event_scheduler = EventScheduler(client=client, listener_manager=TestScheduler.ls_manager, workflow=workflow) res = event_scheduler.schedule() self.assertEqual(0, res) def test_event_scheduler_one_job(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_workflow_one_job() workflow.workflow_id = 1 event_scheduler = EventScheduler(client=client, listener_manager=TestScheduler.ls_manager, workflow=workflow) res = event_scheduler.schedule() self.assertEqual(0, res) @staticmethod def create_periodic_job(index, sleep_time=1) -> BaseJob: job: BaseJob = LocalCMDJob(exec_cmd='echo "hello {}\n" && sleep {}'.format(str(index), str(sleep_time)), job_config=BaseJobConfig(platform="local", engine="cmd_line")) job.uuid = index job.job_name = job.instance_id job.job_config.periodic_config = PeriodicConfig(periodic_type='interval', args={'seconds': 5}) job.instance_id = str(index) + "_job" job.job_context = JobContext() job.job_context.workflow_execution_id = 1 return job @staticmethod def create_periodic_workflow() -> Workflow: workflow = Workflow() for i in range(3): job = TestScheduler.create_periodic_job(i, 1) if 2 == i: job.job_config.periodic_config = None workflow.add_job(job) deps = [] deps.append(JobControlEdge(target_node_id='0_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('0_job'), event_value=State.FINISHED.value))) deps.append(JobControlEdge(target_node_id='1_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('1_job'), event_value=State.FINISHED.value))) workflow.add_edges("2_job", deps) workflow.workflow_id = 1 return workflow def run_periodic_job(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_periodic_workflow() TestScheduler.sc_manager.schedule_workflow(workflow=workflow) time.sleep(13) TestScheduler.sc_manager.stop_schedule_workflow(workflow_id=workflow.workflow_id) res = client.list_job(page_size=10, offset=0) self.assertGreater(len(res), 3) self.assertEqual('2_job', res[2].job_id) self.assertEqual('2_job', res[5].job_id) def test_batch_periodic_job(self): self.run_periodic_job() @staticmethod def create_restart_job_workflow() -> Workflow: workflow = Workflow() for i in range(2): job = TestScheduler.create_periodic_job(i, 4) workflow.add_job(job) job = TestScheduler.create_periodic_job(2, 20) job.job_config.periodic_config = None workflow.add_job(job) deps = [] deps.append(JobControlEdge(target_node_id='0_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('0_job'), event_value=State.FINISHED.value, action=TaskAction.RESTART))) deps.append(JobControlEdge(target_node_id='1_job', source_node_id='2_job', met_config=MetConfig(event_key=generate_job_status_key('1_job'), event_value=State.FINISHED.value, action=TaskAction.RESTART))) workflow.add_edges("2_job", deps) workflow.workflow_id = 1 return workflow def test_restart_job(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_restart_job_workflow() TestScheduler.sc_manager.schedule_workflow(workflow=workflow) time.sleep(20) TestScheduler.sc_manager.stop_schedule_workflow(workflow_id=workflow.workflow_id) res = client.list_job(page_size=10, offset=0) print(res) self.assertGreater(len(res), 3) def test_event_scheduler_manager(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_workflow() TestScheduler.sc_manager.schedule_workflow(workflow=workflow) TestScheduler.sc_manager.wait_finished(workflow.workflow_id) res = TestScheduler.sc_manager.get_schedule_result(workflow_id=workflow.workflow_id) self.assertEqual(0, res) res = client.list_job(page_size=5, offset=0) self.assertEqual(3, len(res)) self.assertEqual(State.FINISHED, res[0].job_state) @staticmethod def create_longrun_workflow() -> Workflow: workflow = Workflow() job_0 = TestScheduler.create_job(0, 10000) workflow.add_job(job_0) job_1 = TestScheduler.create_job(1, 1) workflow.add_job(job_1) deps = [] deps.append(JobControlEdge(target_node_id='1_job', source_node_id='0_job', met_config=MetConfig(event_key='key_1', event_value='value_1', event_type='stop', action=TaskAction.STOP))) workflow.add_edges("0_job", deps) workflow.workflow_id = 1 return workflow def test_stop_job(self): print(sys._getframe().f_code.co_name) workflow = TestScheduler.create_longrun_workflow() TestScheduler.sc_manager.schedule_workflow(workflow=workflow) client.publish_event('key_1', 'value_1', 'stop') TestScheduler.sc_manager.wait_finished(workflow.workflow_id) res = TestScheduler.sc_manager.get_schedule_result(workflow_id=workflow.workflow_id) self.assertEqual(0, res) if __name__ == '__main__': unittest.main()

[ 1, 529, 276, 1112, 420, 29958, 7083, 3845, 29924, 29653, 29914, 1579, 682, 29899, 1794, 29899, 1062, 2760, 13, 29937, 13, 29937, 10413, 21144, 304, 278, 13380, 18540, 10606, 313, 3289, 29943, 29897, 1090, 697, 13, 29937, 470, 901, 17737, 3406, 19405, 8571, 4110, 29889, 29871, 2823, 278, 6058, 12107, 934, 13, 29937, 13235, 411, 445, 664, 363, 5684, 2472, 13, 29937, 11211, 3509, 1266, 27428, 29889, 29871, 450, 3339, 29943, 7794, 11259, 445, 934, 13, 29937, 304, 366, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 13, 29937, 376, 29931, 293, 1947, 1496, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 13, 29937, 411, 278, 19245, 29889, 29871, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 259, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 13, 29937, 7047, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 13, 29937, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 13, 29937, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 29871, 2823, 278, 19245, 363, 278, 13, 29937, 2702, 4086, 14765, 1076, 11239, 322, 27028, 13, 29937, 1090, 278, 19245, 29889, 13, 29937, 13, 5215, 2897, 13, 5215, 931, 13, 5215, 443, 27958, 13, 5215, 10876, 13, 3166, 7468, 29918, 1731, 29889, 5060, 29918, 29734, 29889, 5509, 29889, 4645, 29889, 29874, 361, 677, 29918, 4645, 1053, 319, 6545, 677, 4032, 13, 13, 5215, 7468, 29918, 1731, 408, 2511, 13, 3166, 7468, 29918, 1731, 29889, 16519, 261, 29889, 816, 14952, 1053, 6864, 4504, 14952, 13, 3166, 7468, 29918, 1731, 29889, 4262, 29889, 12864, 1053, 17163, 4809, 23894, 29892, 4737, 3991, 29892, 5706, 29918, 9057, 29918, 4882, 29918, 1989, 13, 3166, 7468, 29918, 1731, 29889, 4262, 29889, 12864, 1053, 9330, 4276, 13, 3166, 7468, 29918, 1731, 29889, 7299, 29889, 9057, 29918, 7299, 1053, 4306, 13, 3166, 7468, 29918, 1731, 29889, 12800, 29889, 2997, 29918, 9006, 29918, 9057, 29918, 8582, 1053, 9959, 29907, 5773, 11947, 13, 3166, 7468, 29918, 1731, 29889, 5060, 29918, 29734, 29889, 5509, 29889, 2974, 1053, 319, 6545, 677, 6004, 13, 3166, 7468, 29918, 1731, 29889, 8899, 29889, 2585, 29889, 3188, 29918, 4299, 1053, 2967, 13, 3166, 7468, 29918, 1731, 29889, 8899, 29889, 2850, 284, 305, 6764, 29918, 8899, 1053, 13093, 2499, 305, 6764, 9044, 13, 3166, 7468, 29918, 1731, 29889, 1688, 29889, 5060, 29918, 29734, 29889, 1688, 29918, 4645, 1053, 903, 4176, 9094, 29918, 4051, 29918, 7724, 29892, 903, 15082, 29892, 903, 4176, 9094, 29918, 4051, 29918, 15551, 13, 3166, 7468, 29918, 1731, 29889, 1287, 1731, 29889, 9057, 1053, 7399, 11947, 29892, 7399, 11947, 3991, 13, 3166, 7468, 29918, 1731, 29889, 1287, 1731, 29889, 9057, 29918, 2917, 1053, 29498, 293, 3991, 13, 3166, 7468, 29918, 1731, 29889, 1287, 1731, 29889, 9057, 29918, 4703, 1053, 17163, 2677, 13, 3166, 7468, 29918, 1731, 29889, 1287, 1731, 29889, 1287, 1731, 1053, 5244, 1731, 13, 13, 4645, 29901, 319, 6545, 677, 4032, 353, 6213, 13, 13, 13, 1990, 4321, 4504, 14952, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 13, 1678, 732, 1990, 5696, 13, 1678, 822, 731, 3373, 2385, 29898, 25932, 29897, 1599, 6213, 29901, 13, 4706, 565, 2897, 29889, 2084, 29889, 9933, 7373, 4176, 9094, 29918, 4051, 29918, 7724, 1125, 13, 9651, 2897, 29889, 5992, 7373, 4176, 9094, 29918, 4051, 29918, 7724, 29897, 13, 4706, 1067, 29879, 29889, 2974, 353, 319, 6545, 677, 6004, 29898, 8899, 29918, 5338, 29922, 29918, 4176, 9094, 29918, 4051, 29918, 15551, 29892, 2011, 29922, 29918, 15082, 29897, 13, 4706, 1067, 29879, 29889, 1557, 29918, 12847, 353, 1067, 29879, 29889, 2974, 29889, 16519, 29918, 5509, 29889, 816, 14952, 29918, 12847, 13, 4706, 1067, 29879, 29889, 2974, 29889, 3389, 580, 13, 4706, 5534, 3132, 13, 4706, 3132, 353, 319, 6545, 677, 4032, 29898, 2974, 29918, 5338, 2433, 7640, 11283, 718, 903, 15082, 29897, 13, 4706, 1067, 29879, 29889, 3137, 29918, 12847, 353, 1067, 29879, 29889, 1557, 29918, 12847, 29889, 25894, 29918, 12847, 13, 13, 1678, 732, 1990, 5696, 13, 1678, 822, 734, 279, 6767, 2385, 29898, 25932, 29897, 1599, 6213, 29901, 13, 4706, 3132, 29889, 9847, 29918, 20631, 29918, 3696, 580, 13, 4706, 3787, 353, 13093, 2499, 305, 6764, 9044, 7373, 4176, 9094, 29918, 4051, 29918, 15551, 29897, 13, 4706, 2967, 29889, 19635, 29889, 8865, 29918, 497, 29898, 8899, 29889, 2585, 29918, 10599, 29897, 13, 4706, 2897, 29889, 5992, 7373, 4176, 9094, 29918, 4051, 29918, 7724, 29897, 13, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 29897, 1599, 6213, 29901, 13, 4706, 1596, 877, 371, 279, 6767, 1495, 13, 4706, 3787, 353, 13093, 2499, 305, 6764, 9044, 7373, 4176, 9094, 29918, 4051, 29918, 15551, 29897, 13, 4706, 2967, 29889, 19635, 29889, 8865, 29918, 497, 29898, 8899, 29889, 2585, 29918, 10599, 29897, 13, 4706, 2967, 29889, 19635, 29889, 3258, 29918, 497, 29898, 8899, 29889, 2585, 29918, 10599, 29897, 13, 4706, 2511, 29889, 4381, 29918, 4262, 2141, 8551, 29918, 4262, 580, 13, 4706, 620, 353, 3132, 29889, 1761, 29918, 9057, 29898, 3488, 29918, 2311, 29922, 29896, 29900, 29892, 9210, 29922, 29900, 29897, 13, 4706, 1583, 29889, 9294, 3624, 8516, 29898, 690, 29897, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 9057, 29898, 2248, 29892, 8709, 29918, 2230, 29922, 29945, 29897, 1599, 7399, 11947, 29901, 13, 4706, 4982, 29901, 7399, 11947, 353, 9959, 29907, 5773, 11947, 29898, 4258, 29918, 9006, 2433, 8057, 376, 12199, 426, 1012, 29876, 29908, 2607, 8709, 6571, 4286, 4830, 29898, 710, 29898, 2248, 511, 851, 29898, 17059, 29918, 2230, 4961, 13, 4706, 4982, 29889, 9057, 29918, 4703, 353, 17163, 2677, 580, 13, 4706, 4982, 29889, 9057, 29918, 4703, 29889, 1287, 1731, 29918, 22256, 29918, 333, 353, 29871, 29896, 13, 4706, 4982, 29889, 8758, 29918, 333, 353, 851, 29898, 2248, 29897, 718, 11119, 9057, 29908, 13, 4706, 4982, 29889, 25118, 353, 2380, 13, 4706, 4982, 29889, 9057, 29918, 978, 353, 4982, 29889, 8758, 29918, 333, 13, 4706, 736, 4982, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 1287, 1731, 580, 1599, 5244, 1731, 29901, 13, 4706, 27321, 353, 5244, 1731, 580, 13, 4706, 363, 474, 297, 3464, 29898, 29941, 1125, 13, 9651, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 9057, 29898, 29875, 29892, 29871, 29896, 29897, 13, 9651, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 4706, 316, 567, 353, 5159, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29900, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29900, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 4961, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29896, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29896, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 4961, 13, 4706, 27321, 29889, 1202, 29918, 287, 2710, 703, 29906, 29918, 9057, 613, 316, 567, 29897, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 736, 27321, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 1287, 1731, 29918, 650, 29918, 9057, 580, 1599, 5244, 1731, 29901, 13, 4706, 27321, 353, 5244, 1731, 580, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 9057, 29898, 29900, 29892, 29871, 29896, 29897, 13, 4706, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 4706, 736, 27321, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 5461, 29918, 1287, 1731, 580, 1599, 5244, 1731, 29901, 13, 4706, 27321, 353, 5244, 1731, 580, 13, 4706, 363, 474, 297, 3464, 29898, 29941, 1125, 13, 9651, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 9057, 29898, 29875, 29892, 29871, 29945, 29897, 13, 9651, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 4706, 316, 567, 353, 5159, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29900, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29900, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 4961, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29896, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29896, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 4961, 13, 4706, 27321, 29889, 1202, 29918, 287, 2710, 703, 29906, 29918, 9057, 613, 316, 567, 29897, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 13, 4706, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 9057, 29898, 29941, 29892, 29871, 29896, 29897, 13, 4706, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 4706, 1401, 29906, 353, 5159, 13, 4706, 1401, 29906, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29900, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29941, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 2433, 1989, 29896, 742, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 2433, 1767, 29896, 29915, 4961, 13, 4706, 27321, 29889, 1202, 29918, 287, 2710, 877, 29941, 29918, 9057, 742, 1401, 29906, 29897, 13, 13, 4706, 736, 27321, 13, 13, 1678, 822, 1243, 29918, 5461, 29918, 14358, 29918, 5461, 29918, 9057, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 5461, 29918, 1287, 1731, 580, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29922, 1287, 1731, 29897, 13, 4706, 3132, 29889, 23679, 29918, 3696, 29898, 1989, 2433, 1989, 29896, 742, 995, 2433, 1767, 29896, 1495, 13, 4706, 3132, 29889, 23679, 29918, 3696, 29898, 1989, 2433, 1989, 29896, 742, 995, 2433, 1767, 29896, 1495, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 10685, 29918, 4951, 3276, 29898, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 620, 353, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 657, 29918, 816, 11272, 29918, 2914, 29898, 1287, 1731, 29918, 333, 29922, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 29900, 29892, 620, 29897, 13, 4706, 620, 353, 3132, 29889, 1761, 29918, 9057, 29898, 3488, 29918, 2311, 29922, 29896, 29900, 29892, 9210, 29922, 29900, 29897, 13, 4706, 396, 1583, 29889, 9294, 9843, 29898, 29945, 29892, 7431, 29898, 690, 876, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29892, 620, 29961, 29900, 1822, 9057, 29918, 3859, 29897, 13, 13, 1678, 822, 1243, 29918, 3696, 29918, 816, 14952, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 1287, 1731, 580, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 1741, 29918, 816, 14952, 353, 6864, 4504, 14952, 29898, 4645, 29922, 4645, 29892, 13254, 29918, 12847, 29922, 3057, 4504, 14952, 29889, 3137, 29918, 12847, 29892, 27321, 29922, 1287, 1731, 29897, 13, 4706, 620, 353, 1741, 29918, 816, 14952, 29889, 816, 11272, 580, 13, 4706, 1583, 29889, 9294, 9843, 29898, 29900, 29892, 620, 29897, 13, 13, 1678, 822, 1243, 29918, 3696, 29918, 816, 14952, 29918, 650, 29918, 9057, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 1287, 1731, 29918, 650, 29918, 9057, 580, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 1741, 29918, 816, 14952, 353, 6864, 4504, 14952, 29898, 4645, 29922, 4645, 29892, 13254, 29918, 12847, 29922, 3057, 4504, 14952, 29889, 3137, 29918, 12847, 29892, 27321, 29922, 1287, 1731, 29897, 13, 4706, 620, 353, 1741, 29918, 816, 14952, 29889, 816, 11272, 580, 13, 4706, 1583, 29889, 9294, 9843, 29898, 29900, 29892, 620, 29897, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 19145, 293, 29918, 9057, 29898, 2248, 29892, 8709, 29918, 2230, 29922, 29896, 29897, 1599, 7399, 11947, 29901, 13, 4706, 4982, 29901, 7399, 11947, 353, 9959, 29907, 5773, 11947, 29898, 4258, 29918, 9006, 2433, 8057, 376, 12199, 426, 1012, 29876, 29908, 2607, 8709, 6571, 4286, 4830, 29898, 710, 29898, 2248, 511, 851, 29898, 17059, 29918, 2230, 8243, 13, 462, 462, 259, 4982, 29918, 2917, 29922, 5160, 11947, 3991, 29898, 12120, 543, 2997, 613, 6012, 543, 9006, 29918, 1220, 5783, 13, 4706, 4982, 29889, 25118, 353, 2380, 13, 4706, 4982, 29889, 9057, 29918, 978, 353, 4982, 29889, 8758, 29918, 333, 13, 4706, 4982, 29889, 9057, 29918, 2917, 29889, 19145, 293, 29918, 2917, 353, 29498, 293, 3991, 29898, 19145, 293, 29918, 1853, 2433, 19207, 742, 6389, 3790, 29915, 23128, 2396, 29871, 29945, 1800, 13, 4706, 4982, 29889, 8758, 29918, 333, 353, 851, 29898, 2248, 29897, 718, 11119, 9057, 29908, 13, 4706, 4982, 29889, 9057, 29918, 4703, 353, 17163, 2677, 580, 13, 4706, 4982, 29889, 9057, 29918, 4703, 29889, 1287, 1731, 29918, 22256, 29918, 333, 353, 29871, 29896, 13, 4706, 736, 4982, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 19145, 293, 29918, 1287, 1731, 580, 1599, 5244, 1731, 29901, 13, 4706, 27321, 353, 5244, 1731, 580, 13, 4706, 363, 474, 297, 3464, 29898, 29941, 1125, 13, 9651, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 19145, 293, 29918, 9057, 29898, 29875, 29892, 29871, 29896, 29897, 13, 9651, 565, 29871, 29906, 1275, 474, 29901, 13, 18884, 4982, 29889, 9057, 29918, 2917, 29889, 19145, 293, 29918, 2917, 353, 6213, 13, 9651, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 4706, 316, 567, 353, 5159, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29900, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29900, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 4961, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29896, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29896, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 4961, 13, 4706, 27321, 29889, 1202, 29918, 287, 2710, 703, 29906, 29918, 9057, 613, 316, 567, 29897, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 736, 27321, 13, 13, 1678, 822, 1065, 29918, 19145, 293, 29918, 9057, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 19145, 293, 29918, 1287, 1731, 580, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29922, 1287, 1731, 29897, 13, 4706, 931, 29889, 17059, 29898, 29896, 29941, 29897, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 9847, 29918, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29918, 333, 29922, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 620, 353, 3132, 29889, 1761, 29918, 9057, 29898, 3488, 29918, 2311, 29922, 29896, 29900, 29892, 9210, 29922, 29900, 29897, 13, 4706, 1583, 29889, 9294, 25120, 1008, 29898, 2435, 29898, 690, 511, 29871, 29941, 29897, 13, 4706, 1583, 29889, 9294, 9843, 877, 29906, 29918, 9057, 742, 620, 29961, 29906, 1822, 9057, 29918, 333, 29897, 13, 4706, 1583, 29889, 9294, 9843, 877, 29906, 29918, 9057, 742, 620, 29961, 29945, 1822, 9057, 29918, 333, 29897, 13, 13, 1678, 822, 1243, 29918, 16175, 29918, 19145, 293, 29918, 9057, 29898, 1311, 1125, 13, 4706, 1583, 29889, 3389, 29918, 19145, 293, 29918, 9057, 580, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 5060, 442, 29918, 9057, 29918, 1287, 1731, 580, 1599, 5244, 1731, 29901, 13, 4706, 27321, 353, 5244, 1731, 580, 13, 4706, 363, 474, 297, 3464, 29898, 29906, 1125, 13, 9651, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 19145, 293, 29918, 9057, 29898, 29875, 29892, 29871, 29946, 29897, 13, 9651, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 13, 4706, 4982, 353, 4321, 4504, 14952, 29889, 3258, 29918, 19145, 293, 29918, 9057, 29898, 29906, 29892, 29871, 29906, 29900, 29897, 13, 4706, 4982, 29889, 9057, 29918, 2917, 29889, 19145, 293, 29918, 2917, 353, 6213, 13, 4706, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29897, 13, 4706, 316, 567, 353, 5159, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29900, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29900, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 29892, 13, 462, 462, 462, 4706, 3158, 29922, 5398, 4276, 29889, 1525, 25826, 4961, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29896, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29906, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 29922, 17158, 29918, 9057, 29918, 4882, 29918, 1989, 877, 29896, 29918, 9057, 5477, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 29922, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29889, 1767, 29892, 13, 462, 462, 462, 4706, 3158, 29922, 5398, 4276, 29889, 1525, 25826, 4961, 13, 4706, 27321, 29889, 1202, 29918, 287, 2710, 703, 29906, 29918, 9057, 613, 316, 567, 29897, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 736, 27321, 13, 13, 1678, 822, 1243, 29918, 5060, 442, 29918, 9057, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 5060, 442, 29918, 9057, 29918, 1287, 1731, 580, 13, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29922, 1287, 1731, 29897, 13, 4706, 931, 29889, 17059, 29898, 29906, 29900, 29897, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 9847, 29918, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29918, 333, 29922, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 620, 353, 3132, 29889, 1761, 29918, 9057, 29898, 3488, 29918, 2311, 29922, 29896, 29900, 29892, 9210, 29922, 29900, 29897, 13, 4706, 1596, 29898, 690, 29897, 13, 4706, 1583, 29889, 9294, 25120, 1008, 29898, 2435, 29898, 690, 511, 29871, 29941, 29897, 13, 13, 1678, 822, 1243, 29918, 3696, 29918, 816, 14952, 29918, 12847, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 1287, 1731, 580, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29922, 1287, 1731, 29897, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 10685, 29918, 4951, 3276, 29898, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 620, 353, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 657, 29918, 816, 11272, 29918, 2914, 29898, 1287, 1731, 29918, 333, 29922, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 29900, 29892, 620, 29897, 13, 4706, 620, 353, 3132, 29889, 1761, 29918, 9057, 29898, 3488, 29918, 2311, 29922, 29945, 29892, 9210, 29922, 29900, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 29941, 29892, 7431, 29898, 690, 876, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2792, 29889, 29943, 1177, 3235, 29950, 3352, 29892, 620, 29961, 29900, 1822, 9057, 29918, 3859, 29897, 13, 13, 1678, 732, 7959, 5696, 13, 1678, 822, 1653, 29918, 5426, 3389, 29918, 1287, 1731, 580, 1599, 5244, 1731, 29901, 13, 4706, 27321, 353, 5244, 1731, 580, 13, 4706, 4982, 29918, 29900, 353, 4321, 4504, 14952, 29889, 3258, 29918, 9057, 29898, 29900, 29892, 29871, 29896, 29900, 29900, 29900, 29900, 29897, 13, 4706, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29918, 29900, 29897, 13, 4706, 4982, 29918, 29896, 353, 4321, 4504, 14952, 29889, 3258, 29918, 9057, 29898, 29896, 29892, 29871, 29896, 29897, 13, 4706, 27321, 29889, 1202, 29918, 9057, 29898, 9057, 29918, 29896, 29897, 13, 4706, 316, 567, 353, 5159, 13, 4706, 316, 567, 29889, 4397, 29898, 11947, 4809, 23894, 29898, 5182, 29918, 3177, 29918, 333, 2433, 29896, 29918, 9057, 742, 2752, 29918, 3177, 29918, 333, 2433, 29900, 29918, 9057, 742, 13, 462, 462, 259, 1539, 29918, 2917, 29922, 10095, 3991, 29898, 3696, 29918, 1989, 2433, 1989, 29918, 29896, 742, 13, 462, 462, 462, 4706, 1741, 29918, 1767, 2433, 1767, 29918, 29896, 742, 13, 462, 462, 462, 4706, 1741, 29918, 1853, 2433, 9847, 742, 13, 462, 462, 462, 4706, 3158, 29922, 5398, 4276, 29889, 1254, 4590, 4961, 13, 13, 4706, 27321, 29889, 1202, 29918, 287, 2710, 703, 29900, 29918, 9057, 613, 316, 567, 29897, 13, 4706, 27321, 29889, 1287, 1731, 29918, 333, 353, 29871, 29896, 13, 4706, 736, 27321, 13, 13, 1678, 822, 1243, 29918, 9847, 29918, 9057, 29898, 1311, 1125, 13, 4706, 1596, 29898, 9675, 3032, 657, 2557, 2141, 29888, 29918, 401, 29889, 1111, 29918, 978, 29897, 13, 4706, 27321, 353, 4321, 4504, 14952, 29889, 3258, 29918, 5426, 3389, 29918, 1287, 1731, 580, 13, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 816, 11272, 29918, 1287, 1731, 29898, 1287, 1731, 29922, 1287, 1731, 29897, 13, 4706, 3132, 29889, 23679, 29918, 3696, 877, 1989, 29918, 29896, 742, 525, 1767, 29918, 29896, 742, 525, 9847, 1495, 13, 4706, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 10685, 29918, 4951, 3276, 29898, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 620, 353, 4321, 4504, 14952, 29889, 1557, 29918, 12847, 29889, 657, 29918, 816, 11272, 29918, 2914, 29898, 1287, 1731, 29918, 333, 29922, 1287, 1731, 29889, 1287, 1731, 29918, 333, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 29900, 29892, 620, 29897, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 443, 27958, 29889, 3396, 580, 13, 2 ]

src/ostorlab/agent/message/proto/v3/asset/ip/v4/geolocation/geolocation_pb2.py

bbhunter/ostorlab

113

49896

# Generated by the protocol buffer compiler. DO NOT EDIT! # source: v3/asset/ip/v4/geolocation/geolocation.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() DESCRIPTOR = _descriptor.FileDescriptor( name='v3/asset/ip/v4/geolocation/geolocation.proto', package='v3.asset.ip.v4.geolocation', syntax='proto2', serialized_options=None, serialized_pb=_b('\n,v3/asset/ip/v4/geolocation/geolocation.proto\x12\x1av3.asset.ip.v4.geolocation\"\x94\x02\n\x07Message\x12\x0c\n\x04host\x18\x01 \x02(\t\x12\x0c\n\x04mask\x18\x02 \x01(\t\x12\x12\n\x07version\x18\x03 \x02(\x05:\x01\x34\x12\x11\n\tcontinent\x18\x05 \x01(\t\x12\x16\n\x0e\x63ontinent_code\x18\x06 \x01(\t\x12\x0f\n\x07\x63ountry\x18\x07 \x01(\t\x12\x14\n\x0c\x63ountry_code\x18\x08 \x01(\t\x12\x0e\n\x06region\x18\t \x01(\t\x12\x13\n\x0bregion_name\x18\n \x01(\t\x12\x0c\n\x04\x63ity\x18\x0b \x01(\t\x12\x0b\n\x03zip\x18\x0c \x01(\t\x12\x10\n\x08latitude\x18\r \x01(\x02\x12\x11\n\tlongitude\x18\x0e \x01(\x02\x12\x10\n\x08timezone\x18\x0f \x01(\t\x12\x10\n\x08\x64istrict\x18\x10 \x01(\t') ) _MESSAGE = _descriptor.Descriptor( name='Message', full_name='v3.asset.ip.v4.geolocation.Message', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='host', full_name='v3.asset.ip.v4.geolocation.Message.host', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='mask', full_name='v3.asset.ip.v4.geolocation.Message.mask', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='version', full_name='v3.asset.ip.v4.geolocation.Message.version', index=2, number=3, type=5, cpp_type=1, label=2, has_default_value=True, default_value=4, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='continent', full_name='v3.asset.ip.v4.geolocation.Message.continent', index=3, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='continent_code', full_name='v3.asset.ip.v4.geolocation.Message.continent_code', index=4, number=6, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='country', full_name='v3.asset.ip.v4.geolocation.Message.country', index=5, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='country_code', full_name='v3.asset.ip.v4.geolocation.Message.country_code', index=6, number=8, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='region', full_name='v3.asset.ip.v4.geolocation.Message.region', index=7, number=9, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='region_name', full_name='v3.asset.ip.v4.geolocation.Message.region_name', index=8, number=10, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='city', full_name='v3.asset.ip.v4.geolocation.Message.city', index=9, number=11, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='zip', full_name='v3.asset.ip.v4.geolocation.Message.zip', index=10, number=12, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='latitude', full_name='v3.asset.ip.v4.geolocation.Message.latitude', index=11, number=13, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='longitude', full_name='v3.asset.ip.v4.geolocation.Message.longitude', index=12, number=14, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='timezone', full_name='v3.asset.ip.v4.geolocation.Message.timezone', index=13, number=15, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='district', full_name='v3.asset.ip.v4.geolocation.Message.district', index=14, number=16, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=77, serialized_end=353, ) DESCRIPTOR.message_types_by_name['Message'] = _MESSAGE _sym_db.RegisterFileDescriptor(DESCRIPTOR) Message = _reflection.GeneratedProtocolMessageType('Message', (_message.Message,), dict( DESCRIPTOR = _MESSAGE, __module__ = 'v3.asset.ip.v4.geolocation.geolocation_pb2' # @@protoc_insertion_point(class_scope:v3.asset.ip.v4.geolocation.Message) )) _sym_db.RegisterMessage(Message) # @@protoc_insertion_point(module_scope)

[ 1, 396, 3251, 630, 491, 278, 9608, 6835, 6516, 29889, 29871, 11662, 6058, 11488, 29991, 13, 29937, 2752, 29901, 325, 29941, 29914, 24129, 29914, 666, 29914, 29894, 29946, 29914, 479, 324, 10610, 29914, 479, 324, 10610, 29889, 17529, 13, 13, 5215, 10876, 13, 29918, 29890, 29922, 9675, 29889, 3259, 29918, 3888, 29961, 29900, 29962, 29966, 29941, 322, 313, 2892, 921, 29901, 29916, 29897, 470, 313, 2892, 921, 29901, 29916, 29889, 12508, 877, 5066, 262, 29896, 8785, 13, 3166, 5386, 29889, 17529, 9721, 1053, 553, 11709, 408, 903, 2783, 11709, 13, 3166, 5386, 29889, 17529, 9721, 1053, 2643, 408, 903, 4906, 13, 3166, 5386, 29889, 17529, 9721, 1053, 17842, 408, 903, 999, 1464, 13, 3166, 5386, 29889, 17529, 9721, 1053, 5829, 29918, 9803, 408, 903, 18098, 29918, 9803, 13, 29937, 732, 29992, 17529, 29883, 29918, 7851, 291, 29918, 3149, 29898, 326, 4011, 29897, 13, 13, 29918, 11967, 29918, 2585, 353, 903, 18098, 29918, 9803, 29889, 4592, 580, 13, 13, 13, 13, 13, 2287, 7187, 24290, 1955, 353, 903, 2783, 11709, 29889, 2283, 19124, 29898, 13, 29871, 1024, 2433, 29894, 29941, 29914, 24129, 29914, 666, 29914, 29894, 29946, 29914, 479, 324, 10610, 29914, 479, 324, 10610, 29889, 17529, 742, 13, 29871, 3577, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 742, 13, 29871, 5877, 2433, 17529, 29906, 742, 13, 29871, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 13, 29871, 7797, 1891, 29918, 24381, 29922, 29918, 29890, 28909, 29876, 29892, 29894, 29941, 29914, 24129, 29914, 666, 29914, 29894, 29946, 29914, 479, 324, 10610, 29914, 479, 324, 10610, 29889, 17529, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 485, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 5931, 29905, 29916, 29929, 29946, 29905, 29916, 29900, 29906, 29905, 29876, 29905, 29916, 29900, 29955, 3728, 29905, 29916, 29896, 29906, 29905, 29916, 29900, 29883, 29905, 29876, 29905, 29916, 29900, 29946, 3069, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29896, 320, 29916, 29900, 29906, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29900, 29883, 29905, 29876, 29905, 29916, 29900, 29946, 13168, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29906, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29906, 29905, 29876, 29905, 29916, 29900, 29955, 3259, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29941, 320, 29916, 29900, 29906, 1194, 29916, 29900, 29945, 3583, 29916, 29900, 29896, 29905, 29916, 29941, 29946, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29896, 29905, 29876, 29905, 29873, 1285, 8946, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29945, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29953, 29905, 29876, 29905, 29916, 29900, 29872, 29905, 29916, 29953, 29941, 609, 8946, 29918, 401, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29953, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29900, 29888, 29905, 29876, 29905, 29916, 29900, 29955, 29905, 29916, 29953, 29941, 9729, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29955, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29946, 29905, 29876, 29905, 29916, 29900, 29883, 29905, 29916, 29953, 29941, 9729, 29918, 401, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29947, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29900, 29872, 29905, 29876, 29905, 29916, 29900, 29953, 12803, 29905, 29916, 29896, 29947, 29905, 29873, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29941, 29905, 29876, 29905, 29916, 29900, 1030, 29887, 291, 29918, 978, 29905, 29916, 29896, 29947, 29905, 29876, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29900, 29883, 29905, 29876, 29905, 29916, 29900, 29946, 29905, 29916, 29953, 29941, 537, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29890, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29900, 29890, 29905, 29876, 29905, 29916, 29900, 29941, 7554, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29883, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29900, 29905, 29876, 29905, 29916, 29900, 29947, 5066, 4279, 29905, 29916, 29896, 29947, 29905, 29878, 320, 29916, 29900, 29896, 1194, 29916, 29900, 29906, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29896, 29905, 29876, 29905, 29873, 5426, 4279, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29872, 320, 29916, 29900, 29896, 1194, 29916, 29900, 29906, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29900, 29905, 29876, 29905, 29916, 29900, 29947, 2230, 8028, 29905, 29916, 29896, 29947, 29905, 29916, 29900, 29888, 320, 29916, 29900, 29896, 1194, 29873, 29905, 29916, 29896, 29906, 29905, 29916, 29896, 29900, 29905, 29876, 29905, 29916, 29900, 29947, 29905, 29916, 29953, 29946, 6801, 29905, 29916, 29896, 29947, 29905, 29916, 29896, 29900, 320, 29916, 29900, 29896, 1194, 29873, 1495, 13, 29897, 13, 13, 13, 13, 13, 29918, 2303, 1799, 10461, 353, 903, 2783, 11709, 29889, 19124, 29898, 13, 29871, 1024, 2433, 3728, 742, 13, 29871, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 742, 13, 29871, 10422, 29922, 8516, 29892, 13, 29871, 934, 29922, 2287, 7187, 24290, 1955, 29892, 13, 29871, 6943, 29918, 1853, 29922, 8516, 29892, 13, 29871, 4235, 11759, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 3069, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 3069, 742, 2380, 29922, 29900, 29892, 13, 418, 1353, 29922, 29896, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29906, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 13168, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 13168, 742, 2380, 29922, 29896, 29892, 13, 418, 1353, 29922, 29906, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 3259, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 3259, 742, 2380, 29922, 29906, 29892, 13, 418, 1353, 29922, 29941, 29892, 1134, 29922, 29945, 29892, 274, 407, 29918, 1853, 29922, 29896, 29892, 3858, 29922, 29906, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 5574, 29892, 2322, 29918, 1767, 29922, 29946, 29892, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 1285, 8946, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 1285, 8946, 742, 2380, 29922, 29941, 29892, 13, 418, 1353, 29922, 29945, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 1285, 8946, 29918, 401, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 1285, 8946, 29918, 401, 742, 2380, 29922, 29946, 29892, 13, 418, 1353, 29922, 29953, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 13509, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 13509, 742, 2380, 29922, 29945, 29892, 13, 418, 1353, 29922, 29955, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 13509, 29918, 401, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 13509, 29918, 401, 742, 2380, 29922, 29953, 29892, 13, 418, 1353, 29922, 29947, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 12803, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 12803, 742, 2380, 29922, 29955, 29892, 13, 418, 1353, 29922, 29929, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 12803, 29918, 978, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 12803, 29918, 978, 742, 2380, 29922, 29947, 29892, 13, 418, 1353, 29922, 29896, 29900, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 12690, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 12690, 742, 2380, 29922, 29929, 29892, 13, 418, 1353, 29922, 29896, 29896, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 7554, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 7554, 742, 2380, 29922, 29896, 29900, 29892, 13, 418, 1353, 29922, 29896, 29906, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 5066, 4279, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 5066, 4279, 742, 2380, 29922, 29896, 29896, 29892, 13, 418, 1353, 29922, 29896, 29941, 29892, 1134, 29922, 29906, 29892, 274, 407, 29918, 1853, 29922, 29953, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 7411, 29898, 29900, 511, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 5426, 4279, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 5426, 4279, 742, 2380, 29922, 29896, 29906, 29892, 13, 418, 1353, 29922, 29896, 29946, 29892, 1134, 29922, 29906, 29892, 274, 407, 29918, 1853, 29922, 29953, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 7411, 29898, 29900, 511, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 2230, 8028, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 2230, 8028, 742, 2380, 29922, 29896, 29941, 29892, 13, 418, 1353, 29922, 29896, 29945, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 1678, 903, 2783, 11709, 29889, 3073, 19124, 29898, 13, 418, 1024, 2433, 29881, 6801, 742, 2989, 29918, 978, 2433, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29889, 29881, 6801, 742, 2380, 29922, 29896, 29946, 29892, 13, 418, 1353, 29922, 29896, 29953, 29892, 1134, 29922, 29929, 29892, 274, 407, 29918, 1853, 29922, 29929, 29892, 3858, 29922, 29896, 29892, 13, 418, 756, 29918, 4381, 29918, 1767, 29922, 8824, 29892, 2322, 29918, 1767, 29922, 29918, 29890, 703, 2564, 13808, 877, 9420, 29899, 29947, 5477, 13, 418, 2643, 29918, 1853, 29922, 8516, 29892, 14115, 29918, 1853, 29922, 8516, 29892, 6943, 29918, 1853, 29922, 8516, 29892, 13, 418, 338, 29918, 17588, 29922, 8824, 29892, 6081, 29918, 6078, 29922, 8516, 29892, 13, 418, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 934, 29922, 2287, 7187, 24290, 1955, 511, 13, 29871, 21251, 13, 29871, 17752, 11759, 13, 29871, 21251, 13, 29871, 9322, 29918, 8768, 11759, 1402, 13, 29871, 14115, 29918, 8768, 11759, 13, 29871, 21251, 13, 29871, 7797, 1891, 29918, 6768, 29922, 8516, 29892, 13, 29871, 338, 29918, 21843, 519, 29922, 8824, 29892, 13, 29871, 5877, 2433, 17529, 29906, 742, 13, 29871, 6081, 29918, 29878, 6916, 11759, 1402, 13, 29871, 697, 974, 29879, 11759, 13, 29871, 21251, 13, 29871, 7797, 1891, 29918, 2962, 29922, 29955, 29955, 29892, 13, 29871, 7797, 1891, 29918, 355, 29922, 29941, 29945, 29941, 29892, 13, 29897, 13, 13, 2287, 7187, 24290, 1955, 29889, 4906, 29918, 8768, 29918, 1609, 29918, 978, 1839, 3728, 2033, 353, 903, 2303, 1799, 10461, 13, 29918, 11967, 29918, 2585, 29889, 15213, 2283, 19124, 29898, 2287, 7187, 24290, 1955, 29897, 13, 13, 3728, 353, 903, 999, 1464, 29889, 24565, 17830, 3728, 1542, 877, 3728, 742, 9423, 4906, 29889, 3728, 29892, 511, 9657, 29898, 13, 29871, 23050, 24290, 1955, 353, 903, 2303, 1799, 10461, 29892, 13, 29871, 4770, 5453, 1649, 353, 525, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 479, 324, 10610, 29918, 24381, 29906, 29915, 13, 29871, 396, 732, 29992, 17529, 29883, 29918, 7851, 291, 29918, 3149, 29898, 1990, 29918, 6078, 29901, 29894, 29941, 29889, 24129, 29889, 666, 29889, 29894, 29946, 29889, 479, 324, 10610, 29889, 3728, 29897, 13, 259, 876, 13, 29918, 11967, 29918, 2585, 29889, 15213, 3728, 29898, 3728, 29897, 13, 13, 13, 29937, 732, 29992, 17529, 29883, 29918, 7851, 291, 29918, 3149, 29898, 5453, 29918, 6078, 29897, 13, 2 ]

processors/util/blockchain_state.py

Zvezdin/blockchain-predictor

35

1615568

import math from time import time as now from collections import deque #from sorted_value_dict import SortedValueDict SortedValueDict=dict #temp debug from processors.properties.property import Property class BlockchainState(Property): def __init__(self): super().__init__() self.requires = ['trace']#, 'tx', 'log'] self.requiresHistoricalData = True self.returnsData = False self._init_state() self._clear_state() def _init_state(self): self.recentLengthDays = 3 self.recentLength = self.recentLengthDays*86400 # 3 days in seconds self.topXFraction = 0.000005 self.topUsedFraction = 0.000005 self.initialSupply = 72_000_000 * 1000000000000000000 #72M ETH in wei. The ETH created at genesis #total ETH in existence #we start at genesis and add every reward to the total supply self.totalETH = self.initialSupply #total amount of times where an account has been the initiator or receiver of an action self.totalTimesUsed = 0 #contract lookup self.isContract = {} #balance lookup self.balances = {} #amount of transactions this acc participates in self.timesUsed = {} #total accs self.totalAccountsAmount = 0 #recently active/created accounts. #We push to the front the most recent accounts and pop from the back the older ones #self.recentlyActive = deque() #self.isRecentlyActive = {} self.recentlyCreated = deque() self.isRecentlyCreated = {} #dicts to hold account timestamps. Used when calculating recently active/created self.dateCreated = {} #self.dateActive = {} #in order ETHRecentlyExchanged to be calculated, we'll keep a list of the past x hours, each element being #the amount of ETH exchanged within that hour. Then our variable will be the sum of that list self.ETHRecentlyExchangedList = [0] * self.recentLengthDays #clears everything that has to be cleared for every processTick call def _clear_state(self): #TOP IN BALANCE/USED GLOBAL/LOCAL CONTRACTS/ACCOUNTS LIST/MAP #IS TOP X FROM THE ACTIVE ACCOUNTS #THIS IS THE ONLY WAY #top x% lookup (list & map) self.isTopX = {} self.topX = [] #for contracts self.isContractTopX = {} self.contractTopX = [] #local top X lookup self.isLocalTopX = {} self.localTopX = [] #for contracts self.isContractLocalTopX = {} self.contractLocalTopX = [] #top x% in usage (list & map) self.isTopUsed = {} self.topUsed = [] #for contracts self.isContractTopUsed = {} self.contractTopUsed = [] #local top X in usage lookup self.isLocalTopUsed = {} self.localTopUsed = [] #for contracts self.isContractLocalTopUsed = {} self.contractLocalTopUsed = [] #local structures to achieve local top scores self.localBalances = SortedValueDict() self.localTotalETH = 0 self.localTimesUsed = SortedValueDict() self.localTotalTimesUsed = 0 #list of local accounts self.isLocalAccount = {} self.localAccounts = [] #list/map of local new accounts/contracts self.isAccountNew = {} self.newAccounts = [] self.isContractNew = {} self.newContracts = [] #address -> list of transactions/traces/logs self.localTransactionsOf = {} self.localTracesOf = {} self.localLogsOf = {} # tx hash -> true/undefined whether this transaction exists self.isTransaction = {} #block N -> bool self.isBlock = {} #address -> gas used total in this period self.gasUsedBy = {} #address -> amount and list of sent/received in this period self.amountSentBy = {} self.senders = [] self.amountReceivedBy = {} self.receivers = [] #active accs self.localAccountsAmount = 0 #amount of ETH that has been recently exchanged self.ETHRecentlyExchanged = 0 #time of last block self.lastTimestamp = 0 #TODO: Avg bal of just created accs (avg value of first tx to acc?) #TODO: when working with ETH, also have a USD version of the same property def processTick(self, data): t = now() self._clear_state() print("Clear state took %4fs" % (now() - t)) ethExchanged = 0 fromI = data['trace'].columns.get_loc('from')+1 if 'trace' in data: t = now() for trace in data['trace'].itertuples(): sender = getattr(trace, '_'+str(fromI)) receiver = trace.to sender = self.noneIfInf(sender) receiver = self.noneIfInf(receiver) value = int(trace.value, 0) gasUsed = self.noneIfInf(trace.gasUsed) if gasUsed is not None: gasUsed = int(trace.gasUsed, 0) timestamp = trace.Index.value // 10**9 #EPOCH time ethExchanged += value self.isTransaction[trace.transactionHash] = True self.isBlock[trace.blockNumber] = True if gasUsed is not None: self.gasUsedBy[sender] = self.gasUsedBy.get(sender, 0) + gasUsed if trace.type == 'create': assert(receiver not in self.isContract) self.isContract[receiver] = True self.isContractNew[receiver] = True self.newContracts.append(receiver) elif trace.type == 'reward': #rewards can be either block or uncle, each of which is increasing the total supply of Ethereum self.totalETH += value for acc in [sender, receiver]: if acc is None: continue if acc not in self.balances: self.totalAccountsAmount += 1 self.dateCreated[acc] = timestamp self.recentlyCreated.appendleft(acc) self.balances[acc] = 0 self.timesUsed[acc] = 0 self.isAccountNew[acc] = True self.newAccounts.append(acc) if acc == sender: currBal = self.balances[acc] self.balances[acc] = 0 if currBal < value else currBal - value #this case is possible because we don't have the genesis transfers #TODO: Get the genesis transfers from Etherscan's API or make a web scrape self.localTracesOf.setdefault(acc, []) self.localTracesOf[acc].append(trace) if acc not in self.amountSentBy: self.amountSentBy[acc] = 0 self.senders.append(acc) self.amountSentBy[acc] += value if acc == receiver: self.balances[receiver] += value if acc not in self.amountReceivedBy: self.amountReceivedBy[acc] = 0 self.receivers.append(acc) self.amountReceivedBy[acc] += value #update local accounts if acc not in self.isLocalAccount: self.isLocalAccount[acc] = True self.localAccounts.append(acc) #update usage info self.totalTimesUsed += 1 self.timesUsed[acc] += 1 self.localTimesUsed.setdefault(acc, 0) self.localTimesUsed[acc] += 1 #update active times #lastActive = self.dateActive.get(acc, 0) #assert(lastActive <= timestamp) #if lastActive < timestamp: # self.dateActive[acc] = timestamp # self.recentlyActive.push_left(acc) assert(self.lastTimestamp <= timestamp) self.lastTimestamp = timestamp print("Replaying traces took %4fs" % (now() - t)) if 'tx' in data: t = now() fromITX = data['tx'].columns.get_loc('from')+1 for tx in data['tx'].itertuples(): sender = self.noneIfInf(getattr(tx, '_'+str(fromITX))) if sender is not None: self.localTransactionsOf.setdefault(sender, []) self.localTransactionsOf[sender].append(tx) print("Iterating TXs took %4fs" % (now() - t)) if 'log' in data: t = now() for log in data['log'].itertuples(): adr = self.noneIfInf(log.address) if adr is not None: self.localLogsOf.setdefault(adr, []) self.localLogsOf[adr].append(log) print("Iterating logs took %4fs" % (now() - t)) t = now() self.localAccountsAmount = len(self.localAccounts) print("Getting recent records took %4fs" % (now() - t)) t = now() #update local balances for acc in self.localAccounts: val = self.balances[acc] self.localBalances[acc] = val self.localTotalETH += val #update top records #TODO: Hold the previous top records and remove the no-longer top records before proceeding #maybe by having a sorted dict and remove the last ones or just sort and remove? if self.isTop(self.balances[acc], self.topXFraction, self.totalETH): if self.isContract.get(acc, False): self.isContractTopX[acc] = True self.contractTopX.append(acc) else: self.isTopX[acc] = True self.topX.append(acc) if self.isTop(self.balances[acc], self.topXFraction, self.localTotalETH): if self.isContract.get(acc, False): self.isContractLocalTopX[acc] = True self.contractLocalTopX.append(acc) else: self.isLocalTopX[acc] = True self.localTopX.append(acc) if self.isTop(self.timesUsed[acc], self.topUsedFraction, self.totalTimesUsed): if self.isContract.get(acc, False): self.isContractTopUsed[acc] = True self.contractTopUsed.append(acc) else: self.isTopUsed[acc] = True self.topUsed.append(acc) if self.isTop(self.timesUsed[acc], self.topUsedFraction, self.localTotalTimesUsed): if self.isContract.get(acc, False): self.isContractLocalTopUsed[acc] = True self.contractLocalTopUsed.append(acc) else: self.isLocalTopUsed[acc] = True self.localTopUsed.append(acc) print("Local balance iteration took %4fs" % (now() - t)) t = now() #update recently created by removing the last part of accounts self.recentlyCreated = self.removeOldDequeRecords(self.recentlyCreated, self.lastTimestamp - self.recentLength, self.dateCreated) self.isRecentlyCreated = self.listToTrueDict(self.recentlyCreated) #updated recent ETH exchanged # remove the oldest tick and append the latest one self.ETHRecentlyExchangedList.pop() self.ETHRecentlyExchangedList.insert(0, ethExchanged) self.ETHRecentlyExchanged = sum(self.ETHRecentlyExchangedList) self.printDebug() print("Debug & recently exchanged took %4fs" % (now() - t)) def noneIfInf(self, a): if isinstance(a, float) and math.isnan(a): return None return a def removeOldDequeRecords(self, dq, minVal, valDict=None): #the dq should be ordered largest -> smallest values while dq: val = dq.pop() if valDict is not None: valCmp = valDict[val] else: valCmp = val if valCmp >= minVal: dq.append(val) return dq def getRecentRecords(self, dct, interval, currentTime=None): target = None if currentTime is not None: target = currentTime - interval res = [] prevVal = None for key in dct: val = dct[key] if currentTime is None: currentTime = val target = currentTime - interval res.append(key) assert(prevVal is None or val <= prevVal) prevVal = val if val < target: break return res def isTop(self, value, fraction, total): minTarget = total * fraction return value >= minTarget def getTopRecords(self, dct, fraction, total, restrictorDict=None, inverseRestriction=False): #we should return all records with values higher than min target minTarget = total * fraction res = [] prevVal = None for key in dct: val = dct[key] if val >= minTarget and (restrictorDict is None or restrictorDict.get(key, False) is not inverseRestriction): res.append(key) else: break #assert(prevVal is None or val <= prevVal) prevVal = val return res def listToTrueDict(self, lst, dct=None): if dct is None: dct = {} for el in lst: dct[el] = True return dct def printDebug(self): print("Amount of topX: %d" % len(self.topX)) print("Amount of topX contracts: %d" % len(self.contractTopX)) print("Amount of local topX: %d" % len(self.localTopX)) print("Amount of local topX contracts: %d" % len(self.contractLocalTopX)) print("Amount of top used: %d" % len(self.topUsed)) print("Amount of contract top used: %d" % len(self.contractTopUsed)) print("Amount of local top used: %d" % len(self.localTopUsed)) print("Amount of contract local top used: %d" % len(self.contractLocalTopUsed)) print("ETH recently exchanged: %d" % self.ETHRecentlyExchanged) #print("Recently active accounts: %d" % len(self.recentlyActive)) print("Recently created accounts: %d" % len(self.recentlyCreated)) if self.localAccountsAmount > 0: print("Senders %d, with sent val of first being %d" % (len(self.senders), self.amountSentBy[self.senders[0]])) print("Receivers %d, with received val of first being %d" % (len(self.receivers), self.amountReceivedBy[self.receivers[0]])) acc = self.localAccounts[0] print("Local accounts %d, traces from first account %d, logs %d and TXs %d" % (len(self.localAccounts), len(self.localTracesOf.get(acc, [])), \ len(self.localLogsOf.get(acc, [])), len(self.localTransactionsOf.get(acc, [])) )) print("%d new accounts and %d new contracts" % (len(self.newAccounts), len(self.newContracts))) print("%d times locally used and %d total local balance" % (self.localTotalTimesUsed, self.localTotalETH)) print("%d total accounts, %d total times used and %d total ETH" % (self.totalAccountsAmount, self.totalTimesUsed, self.totalETH)) #singleton state = BlockchainState()

[ 1, 1053, 5844, 13, 13, 3166, 931, 1053, 931, 408, 1286, 13, 3166, 16250, 1053, 316, 802, 13, 13, 29937, 3166, 12705, 29918, 1767, 29918, 8977, 1053, 317, 18054, 1917, 21533, 13, 13685, 287, 1917, 21533, 29922, 8977, 396, 7382, 4744, 13, 13, 3166, 1889, 943, 29889, 11330, 29889, 6799, 1053, 9079, 13, 13, 1990, 15658, 14153, 2792, 29898, 4854, 1125, 13, 12, 1753, 4770, 2344, 12035, 1311, 1125, 13, 12, 12, 9136, 2141, 1649, 2344, 1649, 580, 13, 13, 12, 12, 1311, 29889, 276, 339, 2658, 353, 6024, 15003, 2033, 6552, 525, 7508, 742, 525, 1188, 2033, 13, 12, 12, 1311, 29889, 276, 339, 2658, 29950, 2118, 936, 1469, 29871, 353, 5852, 13, 13, 12, 12, 1311, 29889, 18280, 1469, 353, 7700, 13, 13, 12, 12, 1311, 3032, 2344, 29918, 3859, 580, 13, 12, 12, 1311, 3032, 8551, 29918, 3859, 580, 13, 13, 12, 1753, 903, 2344, 29918, 3859, 29898, 1311, 1125, 13, 12, 12, 1311, 29889, 276, 1760, 6513, 25991, 353, 29871, 29941, 13, 12, 12, 1311, 29889, 276, 1760, 6513, 353, 1583, 29889, 276, 1760, 6513, 25991, 29930, 29947, 29953, 29946, 29900, 29900, 396, 29871, 29941, 3841, 297, 6923, 13, 12, 12, 1311, 29889, 3332, 29990, 29943, 13857, 353, 29871, 29900, 29889, 29900, 29900, 29900, 29900, 29900, 29945, 13, 12, 12, 1311, 29889, 3332, 29965, 8485, 29943, 13857, 353, 29871, 29900, 29889, 29900, 29900, 29900, 29900, 29900, 29945, 13, 13, 12, 12, 1311, 29889, 11228, 20182, 368, 353, 29871, 29955, 29906, 29918, 29900, 29900, 29900, 29918, 29900, 29900, 29900, 334, 29871, 29896, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 29900, 396, 29955, 29906, 29924, 382, 4690, 297, 591, 29875, 29889, 450, 382, 4690, 2825, 472, 2531, 6656, 13, 13, 12, 12, 29937, 7827, 382, 4690, 297, 10379, 13, 12, 12, 29937, 705, 1369, 472, 2531, 6656, 322, 788, 1432, 20751, 304, 278, 3001, 11421, 13, 12, 12, 1311, 29889, 7827, 2544, 29950, 353, 1583, 29889, 11228, 20182, 368, 13, 13, 12, 12, 29937, 7827, 5253, 310, 3064, 988, 385, 3633, 756, 1063, 278, 14511, 1061, 470, 19870, 310, 385, 3158, 13, 12, 12, 1311, 29889, 7827, 29164, 29965, 8485, 353, 29871, 29900, 13, 13, 12, 12, 29937, 1285, 1461, 16280, 13, 12, 12, 1311, 29889, 275, 21263, 353, 6571, 13, 13, 12, 12, 29937, 5521, 749, 16280, 13, 12, 12, 1311, 29889, 5521, 2925, 353, 6571, 13, 13, 12, 12, 29937, 14506, 310, 22160, 445, 1035, 5221, 1078, 297, 13, 12, 12, 1311, 29889, 3706, 29965, 8485, 353, 6571, 13, 13, 12, 12, 29937, 7827, 1035, 29879, 13, 12, 12, 1311, 29889, 7827, 10601, 29879, 18087, 353, 29871, 29900, 13, 13, 12, 12, 29937, 276, 1760, 368, 6136, 29914, 11600, 15303, 29889, 13, 12, 12, 29937, 4806, 5503, 304, 278, 4565, 278, 1556, 7786, 15303, 322, 1835, 515, 278, 1250, 278, 9642, 6743, 13, 12, 12, 29937, 1311, 29889, 276, 1760, 368, 9966, 353, 316, 802, 580, 13, 12, 12, 29937, 1311, 29889, 275, 4789, 2705, 9966, 353, 6571, 13, 12, 12, 1311, 29889, 276, 1760, 368, 20399, 353, 316, 802, 580, 13, 12, 12, 1311, 29889, 275, 4789, 2705, 20399, 353, 6571, 13, 13, 12, 12, 29937, 8977, 29879, 304, 4808, 3633, 5335, 342, 15092, 29889, 501, 8485, 746, 25202, 10325, 6136, 29914, 11600, 13, 12, 12, 1311, 29889, 1256, 20399, 353, 6571, 13, 12, 12, 29937, 1311, 29889, 1256, 9966, 353, 6571, 13, 13, 12, 12, 29937, 262, 1797, 382, 4690, 4789, 2705, 1252, 15033, 304, 367, 12833, 29892, 591, 29915, 645, 3013, 263, 1051, 310, 278, 4940, 921, 6199, 29892, 1269, 1543, 1641, 13, 12, 12, 29937, 1552, 5253, 310, 382, 4690, 429, 15033, 2629, 393, 7234, 29889, 1987, 1749, 2286, 674, 367, 278, 2533, 310, 393, 1051, 13, 12, 12, 1311, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 1293, 353, 518, 29900, 29962, 334, 1583, 29889, 276, 1760, 6513, 25991, 13, 13, 13, 12, 29937, 2841, 1503, 4129, 393, 756, 304, 367, 24639, 363, 1432, 1889, 29911, 860, 1246, 13, 12, 1753, 903, 8551, 29918, 3859, 29898, 1311, 1125, 13, 12, 12, 29937, 29911, 4590, 2672, 350, 1964, 23219, 29914, 17171, 29928, 402, 28902, 1964, 29914, 16652, 1964, 8707, 29911, 4717, 1783, 29903, 29914, 2477, 3217, 3904, 9375, 365, 9047, 29914, 23827, 13, 13, 13, 12, 12, 29937, 3235, 323, 4590, 1060, 3895, 6093, 319, 1783, 18474, 14614, 3217, 3904, 9375, 13, 12, 12, 29937, 4690, 3235, 8519, 6093, 6732, 16786, 399, 29909, 29979, 13, 13, 12, 12, 29937, 3332, 921, 29995, 16280, 313, 1761, 669, 2910, 29897, 13, 12, 12, 1311, 29889, 275, 7031, 29990, 353, 6571, 13, 12, 12, 1311, 29889, 3332, 29990, 353, 5159, 13, 13, 12, 12, 29937, 1454, 8078, 29879, 13, 12, 12, 1311, 29889, 275, 21263, 7031, 29990, 353, 6571, 13, 12, 12, 1311, 29889, 1285, 1461, 7031, 29990, 353, 5159, 13, 13, 12, 12, 29937, 2997, 2246, 1060, 16280, 13, 12, 12, 1311, 29889, 275, 7717, 7031, 29990, 353, 6571, 13, 12, 12, 1311, 29889, 2997, 7031, 29990, 353, 5159, 13, 13, 12, 12, 29937, 1454, 8078, 29879, 13, 12, 12, 1311, 29889, 275, 21263, 7717, 7031, 29990, 353, 6571, 13, 12, 12, 1311, 29889, 1285, 1461, 7717, 7031, 29990, 353, 5159, 13, 12, 12, 13, 12, 12, 29937, 3332, 921, 29995, 297, 8744, 313, 1761, 669, 2910, 29897, 13, 12, 12, 1311, 29889, 275, 7031, 29965, 8485, 353, 6571, 13, 12, 12, 1311, 29889, 3332, 29965, 8485, 353, 5159, 13, 13, 12, 12, 29937, 1454, 8078, 29879, 13, 12, 12, 1311, 29889, 275, 21263, 7031, 29965, 8485, 353, 6571, 13, 12, 12, 1311, 29889, 1285, 1461, 7031, 29965, 8485, 353, 5159, 13, 13, 12, 12, 29937, 2997, 2246, 1060, 297, 8744, 16280, 13, 12, 12, 1311, 29889, 275, 7717, 7031, 29965, 8485, 353, 6571, 13, 12, 12, 1311, 29889, 2997, 7031, 29965, 8485, 353, 5159, 13, 13, 12, 12, 29937, 1454, 8078, 29879, 13, 12, 12, 1311, 29889, 275, 21263, 7717, 7031, 29965, 8485, 353, 6571, 13, 12, 12, 1311, 29889, 1285, 1461, 7717, 7031, 29965, 8485, 353, 5159, 13, 13, 12, 12, 29937, 2997, 12286, 304, 6176, 1887, 2246, 19435, 13, 12, 12, 1311, 29889, 2997, 22031, 2925, 353, 317, 18054, 1917, 21533, 580, 13, 12, 12, 1311, 29889, 2997, 11536, 2544, 29950, 353, 29871, 29900, 13, 12, 12, 1311, 29889, 2997, 29164, 29965, 8485, 353, 317, 18054, 1917, 21533, 580, 13, 12, 12, 1311, 29889, 2997, 11536, 29164, 29965, 8485, 353, 29871, 29900, 13, 13, 12, 12, 29937, 1761, 310, 1887, 15303, 13, 12, 12, 1311, 29889, 275, 7717, 10601, 353, 6571, 13, 12, 12, 1311, 29889, 2997, 10601, 29879, 353, 5159, 13, 13, 12, 12, 29937, 1761, 29914, 1958, 310, 1887, 716, 15303, 29914, 1285, 1461, 29879, 13, 12, 12, 1311, 29889, 275, 10601, 4373, 353, 6571, 13, 12, 12, 1311, 29889, 1482, 10601, 29879, 353, 5159, 13, 12, 12, 1311, 29889, 275, 21263, 4373, 353, 6571, 13, 12, 12, 1311, 29889, 1482, 21263, 29879, 353, 5159, 13, 13, 12, 12, 29937, 7328, 1599, 1051, 310, 22160, 29914, 3018, 778, 29914, 20756, 13, 12, 12, 1311, 29889, 2997, 4300, 7387, 2776, 353, 6571, 13, 12, 12, 1311, 29889, 2997, 5323, 778, 2776, 353, 6571, 13, 12, 12, 1311, 29889, 2997, 3403, 29879, 2776, 353, 6571, 13, 13, 12, 12, 29937, 25568, 6608, 1599, 1565, 29914, 15955, 3692, 445, 10804, 4864, 13, 12, 12, 1311, 29889, 275, 12460, 353, 6571, 13, 13, 12, 12, 29937, 1271, 405, 1599, 6120, 13, 12, 12, 1311, 29889, 275, 7445, 353, 6571, 13, 13, 12, 12, 29937, 7328, 1599, 10489, 1304, 3001, 297, 445, 3785, 13, 12, 12, 1311, 29889, 25496, 29965, 8485, 2059, 353, 6571, 13, 13, 12, 12, 29937, 7328, 1599, 5253, 322, 1051, 310, 2665, 29914, 13556, 2347, 297, 445, 3785, 13, 12, 12, 1311, 29889, 14506, 29903, 296, 2059, 353, 6571, 13, 12, 12, 1311, 29889, 6717, 414, 353, 5159, 13, 12, 12, 1311, 29889, 14506, 29816, 2059, 353, 6571, 13, 12, 12, 1311, 29889, 13556, 1536, 353, 5159, 13, 13, 12, 12, 29937, 4925, 1035, 29879, 13, 12, 12, 1311, 29889, 2997, 10601, 29879, 18087, 353, 29871, 29900, 13, 13, 12, 12, 29937, 14506, 310, 382, 4690, 393, 756, 1063, 10325, 429, 15033, 13, 12, 12, 1311, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 353, 29871, 29900, 13, 13, 12, 12, 29937, 2230, 310, 1833, 2908, 13, 12, 12, 1311, 29889, 4230, 27939, 353, 29871, 29900, 13, 13, 29937, 4986, 3970, 29901, 7740, 29887, 6411, 310, 925, 2825, 1035, 29879, 313, 485, 29887, 995, 310, 937, 25568, 304, 1035, 7897, 13, 29937, 4986, 3970, 29901, 746, 1985, 411, 382, 4690, 29892, 884, 505, 263, 3148, 29928, 1873, 310, 278, 1021, 2875, 13, 13, 12, 1753, 1889, 29911, 860, 29898, 1311, 29892, 848, 1125, 13, 12, 12, 29873, 353, 1286, 580, 13, 12, 12, 1311, 3032, 8551, 29918, 3859, 580, 13, 12, 12, 2158, 703, 18759, 2106, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 13, 12, 12, 621, 1252, 15033, 353, 29871, 29900, 13, 13, 12, 12, 3166, 29902, 353, 848, 1839, 15003, 13359, 13099, 29889, 657, 29918, 2029, 877, 3166, 1495, 29974, 29896, 13, 13, 12, 12, 361, 525, 15003, 29915, 297, 848, 29901, 13, 12, 12, 12, 29873, 353, 1286, 580, 13, 12, 12, 12, 1454, 9637, 297, 848, 1839, 15003, 13359, 277, 814, 29884, 2701, 7295, 13, 12, 12, 12, 12, 15452, 353, 679, 5552, 29898, 15003, 29892, 22868, 18717, 710, 29898, 3166, 29902, 876, 13, 12, 12, 12, 12, 13556, 2147, 353, 9637, 29889, 517, 13, 13, 12, 12, 12, 12, 15452, 353, 1583, 29889, 9290, 3644, 25433, 29898, 15452, 29897, 13, 12, 12, 12, 12, 13556, 2147, 353, 1583, 29889, 9290, 3644, 25433, 29898, 13556, 2147, 29897, 13, 13, 12, 12, 12, 12, 1767, 353, 938, 29898, 15003, 29889, 1767, 29892, 29871, 29900, 29897, 13, 13, 12, 12, 12, 12, 25496, 29965, 8485, 353, 1583, 29889, 9290, 3644, 25433, 29898, 15003, 29889, 25496, 29965, 8485, 29897, 13, 12, 12, 12, 12, 361, 10489, 29965, 8485, 338, 451, 6213, 29901, 13, 12, 12, 12, 12, 12, 25496, 29965, 8485, 353, 938, 29898, 15003, 29889, 25496, 29965, 8485, 29892, 29871, 29900, 29897, 13, 12, 12, 12, 12, 16394, 353, 9637, 29889, 3220, 29889, 1767, 849, 29871, 29896, 29900, 1068, 29929, 396, 29923, 13152, 3210, 931, 13, 13, 12, 12, 12, 12, 621, 1252, 15033, 4619, 995, 13, 13, 12, 12, 12, 12, 1311, 29889, 275, 12460, 29961, 15003, 29889, 20736, 10438, 29962, 353, 5852, 13, 12, 12, 12, 12, 1311, 29889, 275, 7445, 29961, 15003, 29889, 1271, 4557, 29962, 353, 5852, 13, 13, 12, 12, 12, 12, 361, 10489, 29965, 8485, 338, 451, 6213, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 25496, 29965, 8485, 2059, 29961, 15452, 29962, 353, 1583, 29889, 25496, 29965, 8485, 2059, 29889, 657, 29898, 15452, 29892, 29871, 29900, 29897, 718, 10489, 29965, 8485, 13, 13, 12, 12, 12, 12, 361, 9637, 29889, 1853, 1275, 525, 3258, 2396, 13, 12, 12, 12, 12, 12, 9294, 29898, 13556, 2147, 451, 297, 1583, 29889, 275, 21263, 29897, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 21263, 29961, 13556, 2147, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 21263, 4373, 29961, 13556, 2147, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 1482, 21263, 29879, 29889, 4397, 29898, 13556, 2147, 29897, 13, 12, 12, 12, 12, 23681, 9637, 29889, 1853, 1275, 525, 276, 1328, 2396, 13, 12, 12, 12, 12, 12, 29937, 276, 2935, 508, 367, 2845, 2908, 470, 22169, 29892, 1269, 310, 607, 338, 10231, 278, 3001, 11421, 310, 382, 12711, 398, 13, 12, 12, 12, 12, 12, 1311, 29889, 7827, 2544, 29950, 4619, 995, 13, 12, 12, 12, 12, 13, 12, 12, 12, 12, 1454, 1035, 297, 518, 15452, 29892, 19870, 5387, 13, 12, 12, 12, 12, 12, 361, 1035, 338, 6213, 29901, 13, 12, 12, 12, 12, 12, 12, 19878, 13, 13, 12, 12, 12, 12, 12, 361, 1035, 451, 297, 1583, 29889, 5521, 2925, 29901, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 7827, 10601, 29879, 18087, 4619, 29871, 29896, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 1256, 20399, 29961, 5753, 29962, 353, 14334, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 276, 1760, 368, 20399, 29889, 4397, 1563, 29898, 5753, 29897, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 5521, 2925, 29961, 5753, 29962, 353, 29871, 29900, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 3706, 29965, 8485, 29961, 5753, 29962, 353, 29871, 29900, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 275, 10601, 4373, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 1482, 10601, 29879, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 12, 361, 1035, 1275, 10004, 29901, 13, 12, 12, 12, 12, 12, 12, 21962, 22031, 353, 1583, 29889, 5521, 2925, 29961, 5753, 29962, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 5521, 2925, 29961, 5753, 29962, 353, 29871, 29900, 565, 16256, 22031, 529, 995, 1683, 16256, 22031, 448, 995, 13, 12, 12, 12, 12, 12, 12, 29937, 1366, 1206, 338, 1950, 1363, 591, 1016, 29915, 29873, 505, 278, 2531, 6656, 1301, 25534, 13, 12, 12, 12, 12, 12, 12, 29937, 4986, 3970, 29901, 3617, 278, 2531, 6656, 1301, 25534, 515, 382, 3341, 3068, 29915, 29879, 3450, 470, 1207, 263, 1856, 24559, 412, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 2997, 5323, 778, 2776, 29889, 842, 4381, 29898, 5753, 29892, 518, 2314, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 2997, 5323, 778, 2776, 29961, 5753, 1822, 4397, 29898, 15003, 29897, 13, 13, 12, 12, 12, 12, 12, 12, 361, 1035, 451, 297, 1583, 29889, 14506, 29903, 296, 2059, 29901, 13, 12, 12, 12, 12, 12, 12, 12, 1311, 29889, 14506, 29903, 296, 2059, 29961, 5753, 29962, 353, 29871, 29900, 13, 12, 12, 12, 12, 12, 12, 12, 1311, 29889, 6717, 414, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 14506, 29903, 296, 2059, 29961, 5753, 29962, 4619, 995, 13, 13, 12, 12, 12, 12, 12, 361, 1035, 1275, 19870, 29901, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 5521, 2925, 29961, 13556, 2147, 29962, 4619, 995, 13, 12, 12, 12, 12, 13, 12, 12, 12, 12, 12, 12, 361, 1035, 451, 297, 1583, 29889, 14506, 29816, 2059, 29901, 13, 12, 12, 12, 12, 12, 12, 12, 1311, 29889, 14506, 29816, 2059, 29961, 5753, 29962, 353, 29871, 29900, 13, 12, 12, 12, 12, 12, 12, 12, 1311, 29889, 13556, 1536, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 14506, 29816, 2059, 29961, 5753, 29962, 4619, 995, 13, 13, 12, 12, 12, 12, 12, 29937, 5504, 1887, 15303, 13, 12, 12, 12, 12, 12, 361, 1035, 451, 297, 1583, 29889, 275, 7717, 10601, 29901, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 275, 7717, 10601, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 12, 1311, 29889, 2997, 10601, 29879, 29889, 4397, 29898, 5753, 29897, 13, 13, 12, 12, 12, 12, 12, 29937, 5504, 8744, 5235, 13, 12, 12, 12, 12, 12, 1311, 29889, 7827, 29164, 29965, 8485, 4619, 29871, 29896, 13, 12, 12, 12, 12, 12, 1311, 29889, 3706, 29965, 8485, 29961, 5753, 29962, 4619, 29871, 29896, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 29164, 29965, 8485, 29889, 842, 4381, 29898, 5753, 29892, 29871, 29900, 29897, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 29164, 29965, 8485, 29961, 5753, 29962, 4619, 29871, 29896, 13, 13, 12, 12, 12, 12, 12, 29937, 5504, 6136, 3064, 13, 12, 12, 12, 12, 12, 29937, 4230, 9966, 353, 1583, 29889, 1256, 9966, 29889, 657, 29898, 5753, 29892, 29871, 29900, 29897, 13, 12, 12, 12, 12, 12, 29937, 9294, 29898, 4230, 9966, 5277, 14334, 29897, 13, 12, 12, 12, 12, 12, 29937, 361, 1833, 9966, 529, 14334, 29901, 13, 12, 12, 12, 12, 12, 29937, 12, 1311, 29889, 1256, 9966, 29961, 5753, 29962, 353, 14334, 13, 12, 12, 12, 12, 12, 29937, 12, 1311, 29889, 276, 1760, 368, 9966, 29889, 5910, 29918, 1563, 29898, 5753, 29897, 13, 13, 12, 12, 12, 12, 12, 9294, 29898, 1311, 29889, 4230, 27939, 5277, 14334, 29897, 13, 12, 12, 12, 12, 12, 1311, 29889, 4230, 27939, 353, 14334, 13, 13, 12, 12, 12, 2158, 703, 1123, 1456, 292, 26695, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 13, 12, 12, 361, 525, 7508, 29915, 297, 848, 29901, 13, 12, 12, 12, 29873, 353, 1286, 580, 13, 12, 12, 12, 3166, 1806, 29990, 353, 848, 1839, 7508, 13359, 13099, 29889, 657, 29918, 2029, 877, 3166, 1495, 29974, 29896, 13, 12, 12, 12, 1454, 25568, 297, 848, 1839, 7508, 13359, 277, 814, 29884, 2701, 7295, 13, 12, 12, 12, 12, 15452, 353, 1583, 29889, 9290, 3644, 25433, 29898, 657, 5552, 29898, 7508, 29892, 22868, 18717, 710, 29898, 3166, 1806, 29990, 4961, 13, 13, 12, 12, 12, 12, 361, 10004, 338, 451, 6213, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 4300, 7387, 2776, 29889, 842, 4381, 29898, 15452, 29892, 518, 2314, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 4300, 7387, 2776, 29961, 15452, 1822, 4397, 29898, 7508, 29897, 13, 12, 12, 12, 2158, 703, 13463, 1218, 323, 29990, 29879, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 12, 12, 361, 525, 1188, 29915, 297, 848, 29901, 13, 12, 12, 12, 29873, 353, 1286, 580, 13, 12, 12, 12, 1454, 1480, 297, 848, 1839, 1188, 13359, 277, 814, 29884, 2701, 7295, 13, 12, 12, 12, 12, 7887, 353, 1583, 29889, 9290, 3644, 25433, 29898, 1188, 29889, 7328, 29897, 13, 13, 12, 12, 12, 12, 361, 594, 29878, 338, 451, 6213, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 3403, 29879, 2776, 29889, 842, 4381, 29898, 7887, 29892, 518, 2314, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 3403, 29879, 2776, 29961, 7887, 1822, 4397, 29898, 1188, 29897, 13, 12, 12, 12, 2158, 703, 13463, 1218, 10748, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 13, 12, 12, 29873, 353, 1286, 580, 13, 13, 12, 12, 1311, 29889, 2997, 10601, 29879, 18087, 353, 7431, 29898, 1311, 29889, 2997, 10601, 29879, 29897, 13, 12, 13, 12, 12, 2158, 703, 2577, 1259, 7786, 6475, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 12, 12, 29873, 353, 1286, 580, 13, 13, 12, 12, 29937, 5504, 1887, 6411, 2925, 13, 12, 12, 1454, 1035, 297, 1583, 29889, 2997, 10601, 29879, 29901, 13, 12, 12, 12, 791, 353, 1583, 29889, 5521, 2925, 29961, 5753, 29962, 13, 12, 12, 12, 1311, 29889, 2997, 22031, 2925, 29961, 5753, 29962, 353, 659, 13, 12, 12, 12, 1311, 29889, 2997, 11536, 2544, 29950, 4619, 659, 13, 13, 12, 12, 12, 29937, 5504, 2246, 6475, 13, 12, 12, 12, 29937, 4986, 3970, 29901, 21771, 278, 3517, 2246, 6475, 322, 3349, 278, 694, 29899, 5426, 261, 2246, 6475, 1434, 8469, 292, 13, 12, 12, 12, 29937, 26026, 491, 2534, 263, 12705, 9657, 322, 3349, 278, 1833, 6743, 470, 925, 2656, 322, 3349, 29973, 13, 12, 12, 12, 361, 1583, 29889, 275, 7031, 29898, 1311, 29889, 5521, 2925, 29961, 5753, 1402, 1583, 29889, 3332, 29990, 29943, 13857, 29892, 1583, 29889, 7827, 2544, 29950, 1125, 13, 12, 12, 12, 12, 361, 1583, 29889, 275, 21263, 29889, 657, 29898, 5753, 29892, 7700, 1125, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 21263, 7031, 29990, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 1285, 1461, 7031, 29990, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 2870, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 7031, 29990, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 3332, 29990, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 361, 1583, 29889, 275, 7031, 29898, 1311, 29889, 5521, 2925, 29961, 5753, 1402, 1583, 29889, 3332, 29990, 29943, 13857, 29892, 1583, 29889, 2997, 11536, 2544, 29950, 1125, 13, 12, 12, 12, 12, 361, 1583, 29889, 275, 21263, 29889, 657, 29898, 5753, 29892, 7700, 1125, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 21263, 7717, 7031, 29990, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 1285, 1461, 7717, 7031, 29990, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 2870, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 7717, 7031, 29990, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 7031, 29990, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 361, 1583, 29889, 275, 7031, 29898, 1311, 29889, 3706, 29965, 8485, 29961, 5753, 1402, 1583, 29889, 3332, 29965, 8485, 29943, 13857, 29892, 1583, 29889, 7827, 29164, 29965, 8485, 1125, 13, 12, 12, 12, 12, 361, 1583, 29889, 275, 21263, 29889, 657, 29898, 5753, 29892, 7700, 1125, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 21263, 7031, 29965, 8485, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 1285, 1461, 7031, 29965, 8485, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 2870, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 7031, 29965, 8485, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 3332, 29965, 8485, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 361, 1583, 29889, 275, 7031, 29898, 1311, 29889, 3706, 29965, 8485, 29961, 5753, 1402, 1583, 29889, 3332, 29965, 8485, 29943, 13857, 29892, 1583, 29889, 2997, 11536, 29164, 29965, 8485, 1125, 13, 12, 12, 12, 12, 361, 1583, 29889, 275, 21263, 29889, 657, 29898, 5753, 29892, 7700, 1125, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 21263, 7717, 7031, 29965, 8485, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 1285, 1461, 7717, 7031, 29965, 8485, 29889, 4397, 29898, 5753, 29897, 13, 12, 12, 12, 12, 2870, 29901, 13, 12, 12, 12, 12, 12, 1311, 29889, 275, 7717, 7031, 29965, 8485, 29961, 5753, 29962, 353, 5852, 13, 12, 12, 12, 12, 12, 1311, 29889, 2997, 7031, 29965, 8485, 29889, 4397, 29898, 5753, 29897, 13, 13, 12, 12, 2158, 703, 7717, 17346, 12541, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 13, 12, 12, 29873, 353, 1286, 580, 13, 13, 12, 12, 29937, 5504, 10325, 2825, 491, 11077, 278, 1833, 760, 310, 15303, 13, 12, 12, 1311, 29889, 276, 1760, 368, 20399, 353, 1583, 29889, 5992, 21648, 2772, 802, 4789, 4339, 29898, 1311, 29889, 276, 1760, 368, 20399, 29892, 1583, 29889, 4230, 27939, 448, 1583, 29889, 276, 1760, 6513, 29892, 1583, 29889, 1256, 20399, 29897, 13, 12, 12, 1311, 29889, 275, 4789, 2705, 20399, 353, 1583, 29889, 1761, 1762, 5574, 21533, 29898, 1311, 29889, 276, 1760, 368, 20399, 29897, 13, 13, 12, 12, 29937, 21402, 7786, 382, 4690, 429, 15033, 13, 12, 12, 29937, 3349, 278, 23947, 16892, 322, 9773, 278, 9281, 697, 13, 12, 12, 1311, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 1293, 29889, 7323, 580, 13, 12, 12, 1311, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 1293, 29889, 7851, 29898, 29900, 29892, 11314, 1252, 15033, 29897, 13, 12, 12, 1311, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 353, 2533, 29898, 1311, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 1293, 29897, 13, 13, 12, 12, 1311, 29889, 2158, 11862, 580, 13, 13, 12, 12, 2158, 703, 11862, 669, 10325, 429, 15033, 3614, 1273, 29946, 5847, 29908, 1273, 313, 3707, 580, 448, 260, 876, 13, 13, 12, 1753, 5642, 3644, 25433, 29898, 1311, 29892, 263, 1125, 13, 12, 12, 361, 338, 8758, 29898, 29874, 29892, 5785, 29897, 322, 5844, 29889, 275, 13707, 29898, 29874, 1125, 13, 12, 12, 12, 2457, 6213, 13, 12, 12, 2457, 263, 13, 13, 12, 1753, 3349, 21648, 2772, 802, 4789, 4339, 29898, 1311, 29892, 270, 29939, 29892, 1375, 1440, 29892, 659, 21533, 29922, 8516, 1125, 13, 12, 12, 29937, 1552, 270, 29939, 881, 367, 10372, 10150, 1599, 19087, 1819, 13, 12, 12, 8000, 270, 29939, 29901, 13, 12, 12, 12, 791, 353, 270, 29939, 29889, 7323, 580, 13, 12, 12, 12, 361, 659, 21533, 338, 451, 6213, 29901, 13, 12, 12, 12, 12, 791, 29907, 1526, 353, 659, 21533, 29961, 791, 29962, 13, 12, 12, 12, 2870, 29901, 13, 12, 12, 12, 12, 791, 29907, 1526, 353, 659, 13, 13, 12, 12, 12, 361, 659, 29907, 1526, 6736, 1375, 1440, 29901, 13, 12, 12, 12, 12, 29881, 29939, 29889, 4397, 29898, 791, 29897, 13, 12, 12, 12, 12, 2457, 270, 29939, 13, 13, 12, 1753, 679, 4789, 296, 4789, 4339, 29898, 1311, 29892, 270, 312, 29892, 7292, 29892, 1857, 2481, 29922, 8516, 1125, 13, 12, 12, 5182, 353, 6213, 13, 12, 12, 361, 1857, 2481, 338, 451, 6213, 29901, 13, 12, 12, 12, 5182, 353, 1857, 2481, 448, 7292, 13, 13, 12, 12, 690, 353, 5159, 13, 12, 12, 16304, 1440, 353, 6213, 13, 12, 12, 1454, 1820, 297, 270, 312, 29901, 13, 12, 12, 12, 791, 353, 270, 312, 29961, 1989, 29962, 13, 12, 12, 12, 361, 1857, 2481, 338, 6213, 29901, 13, 12, 12, 12, 12, 3784, 2481, 353, 659, 13, 12, 12, 12, 12, 5182, 353, 1857, 2481, 448, 7292, 13, 13, 12, 12, 12, 690, 29889, 4397, 29898, 1989, 29897, 13, 13, 12, 12, 12, 9294, 29898, 16304, 1440, 338, 6213, 470, 659, 5277, 12379, 1440, 29897, 13, 13, 12, 12, 12, 16304, 1440, 353, 659, 13, 12, 12, 12, 361, 659, 529, 3646, 29901, 13, 12, 12, 12, 12, 8690, 13, 13, 12, 12, 2457, 620, 13, 13, 12, 1753, 338, 7031, 29898, 1311, 29892, 995, 29892, 15958, 29892, 3001, 1125, 13, 12, 12, 1195, 8667, 353, 3001, 334, 15958, 13, 13, 12, 12, 2457, 995, 6736, 1375, 8667, 13, 13, 12, 1753, 679, 7031, 4789, 4339, 29898, 1311, 29892, 270, 312, 29892, 15958, 29892, 3001, 29892, 9250, 272, 21533, 29922, 8516, 29892, 16402, 15078, 19902, 29922, 8824, 1125, 13, 12, 12, 29937, 705, 881, 736, 599, 6475, 411, 1819, 6133, 1135, 1375, 3646, 13, 12, 12, 1195, 8667, 353, 3001, 334, 15958, 13, 13, 12, 12, 690, 353, 5159, 13, 13, 12, 12, 16304, 1440, 353, 6213, 13, 12, 12, 1454, 1820, 297, 270, 312, 29901, 13, 12, 12, 12, 791, 353, 270, 312, 29961, 1989, 29962, 13, 13, 12, 12, 12, 361, 659, 6736, 1375, 8667, 322, 313, 5060, 4146, 272, 21533, 338, 6213, 470, 9250, 272, 21533, 29889, 657, 29898, 1989, 29892, 7700, 29897, 338, 451, 16402, 15078, 19902, 1125, 13, 12, 12, 12, 12, 690, 29889, 4397, 29898, 1989, 29897, 13, 12, 12, 12, 2870, 29901, 13, 12, 12, 12, 12, 8690, 13, 13, 12, 12, 12, 29937, 9294, 29898, 16304, 1440, 338, 6213, 470, 659, 5277, 12379, 1440, 29897, 13, 12, 12, 12, 16304, 1440, 353, 659, 13, 13, 12, 12, 2457, 620, 13, 13, 12, 1753, 1051, 1762, 5574, 21533, 29898, 1311, 29892, 24471, 29892, 270, 312, 29922, 8516, 1125, 13, 12, 12, 361, 270, 312, 338, 6213, 29901, 13, 12, 12, 12, 29881, 312, 353, 6571, 13, 13, 12, 12, 1454, 560, 297, 24471, 29901, 13, 12, 12, 12, 29881, 312, 29961, 295, 29962, 353, 5852, 13, 12, 12, 13, 12, 12, 2457, 270, 312, 13, 13, 12, 1753, 1596, 11862, 29898, 1311, 1125, 13, 12, 12, 2158, 703, 18087, 310, 2246, 29990, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 3332, 29990, 876, 13, 12, 12, 2158, 703, 18087, 310, 2246, 29990, 8078, 29879, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 1285, 1461, 7031, 29990, 876, 13, 12, 12, 2158, 703, 18087, 310, 1887, 2246, 29990, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 2997, 7031, 29990, 876, 13, 12, 12, 2158, 703, 18087, 310, 1887, 2246, 29990, 8078, 29879, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 1285, 1461, 7717, 7031, 29990, 876, 13, 12, 12, 2158, 703, 18087, 310, 2246, 1304, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 3332, 29965, 8485, 876, 13, 12, 12, 2158, 703, 18087, 310, 8078, 2246, 1304, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 1285, 1461, 7031, 29965, 8485, 876, 13, 12, 12, 2158, 703, 18087, 310, 1887, 2246, 1304, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 2997, 7031, 29965, 8485, 876, 13, 12, 12, 2158, 703, 18087, 310, 8078, 1887, 2246, 1304, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 1285, 1461, 7717, 7031, 29965, 8485, 876, 13, 12, 12, 2158, 703, 2544, 29950, 10325, 429, 15033, 29901, 1273, 29881, 29908, 1273, 1583, 29889, 2544, 29950, 4789, 2705, 1252, 15033, 29897, 13, 12, 12, 29937, 2158, 703, 4789, 2705, 6136, 15303, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 276, 1760, 368, 9966, 876, 13, 12, 12, 2158, 703, 4789, 2705, 2825, 15303, 29901, 1273, 29881, 29908, 1273, 7431, 29898, 1311, 29889, 276, 1760, 368, 20399, 876, 13, 13, 12, 12, 361, 1583, 29889, 2997, 10601, 29879, 18087, 1405, 29871, 29900, 29901, 13, 12, 12, 12, 2158, 703, 12600, 414, 1273, 29881, 29892, 411, 2665, 659, 310, 937, 1641, 1273, 29881, 29908, 1273, 313, 2435, 29898, 1311, 29889, 6717, 414, 511, 1583, 29889, 14506, 29903, 296, 2059, 29961, 1311, 29889, 6717, 414, 29961, 29900, 5262, 876, 13, 12, 12, 12, 2158, 703, 10380, 1536, 1273, 29881, 29892, 411, 4520, 659, 310, 937, 1641, 1273, 29881, 29908, 1273, 313, 2435, 29898, 1311, 29889, 13556, 1536, 511, 1583, 29889, 14506, 29816, 2059, 29961, 1311, 29889, 13556, 1536, 29961, 29900, 5262, 876, 13, 12, 12, 12, 5753, 353, 1583, 29889, 2997, 10601, 29879, 29961, 29900, 29962, 13, 12, 12, 12, 2158, 703, 7717, 15303, 1273, 29881, 29892, 26695, 515, 937, 3633, 1273, 29881, 29892, 10748, 1273, 29881, 322, 323, 29990, 29879, 1273, 29881, 29908, 1273, 313, 2435, 29898, 1311, 29889, 2997, 10601, 29879, 511, 7431, 29898, 1311, 29889, 2997, 5323, 778, 2776, 29889, 657, 29898, 5753, 29892, 518, 2314, 511, 320, 13, 12, 12, 12, 2435, 29898, 1311, 29889, 2997, 3403, 29879, 2776, 29889, 657, 29898, 5753, 29892, 518, 2314, 511, 7431, 29898, 1311, 29889, 2997, 4300, 7387, 2776, 29889, 657, 29898, 5753, 29892, 5159, 876, 29871, 876, 13, 12, 12, 2158, 11702, 29881, 716, 15303, 322, 1273, 29881, 716, 8078, 29879, 29908, 1273, 313, 2435, 29898, 1311, 29889, 1482, 10601, 29879, 511, 7431, 29898, 1311, 29889, 1482, 21263, 29879, 4961, 13, 12, 12, 2158, 11702, 29881, 3064, 12430, 1304, 322, 1273, 29881, 3001, 1887, 17346, 29908, 1273, 313, 1311, 29889, 2997, 11536, 29164, 29965, 8485, 29892, 1583, 29889, 2997, 11536, 2544, 29950, 876, 13, 12, 12, 2158, 11702, 29881, 3001, 15303, 29892, 1273, 29881, 3001, 3064, 1304, 322, 1273, 29881, 3001, 382, 4690, 29908, 1273, 313, 1311, 29889, 7827, 10601, 29879, 18087, 29892, 1583, 29889, 7827, 29164, 29965, 8485, 29892, 1583, 29889, 7827, 2544, 29950, 876, 13, 13, 29937, 2976, 11285, 13, 3859, 353, 15658, 14153, 2792, 580, 13, 2 ]

dbc_federated/applications/defect_detection_ddm2/Client_stage_2_modelling.py

DDLcdz1130/DBC-FederatedLearning-Client-VNX

0

159344

from torch.autograd import Variable from tqdm import tqdm from torchvision import datasets, models, transforms import torch import torch.nn as nn import torch.optim as optim from torch.optim import lr_scheduler import numpy as np import time import os import argparse import torchvision import copy import sys sys.path.append("../..") from utils.data_processing import get_data_transforms, load_data, feature_eval_prep from modules.learning import train_model, eval_model from modules.model_config import model_take_lower_layers ### This script is to complete the whole process of extracting features from a set of labeled image data. ## Loading the dataloaders -- Make sure that the data is saved in following way """ - data/ - class_1 folder/ - img1.png - img2.png - class_2 folder/ ..... - class_n folder/ """ parser = argparse.ArgumentParser(description='PyTorch inception Training') parser.add_argument('--img_dir', default='./train/', type=str, help='') parser.add_argument('--output_dir', default='./features/', type=str, help='') parser.add_argument('--restore', default=1, type=int, help='whether restore the stored model or not') parser.add_argument('--final_output', default=2, type=int, help='the number of the output of the final layer') parser.add_argument('--batch_size', default=1, type=int) parser.add_argument('--epochs', default=30, type=int) args = parser.parse_args() data_dir = args.img_dir restore=args.restore n_class=args.final_output batch_size=args.batch_size epochs=args.epochs output_dir=args.output_dir input_shape = 299 mean = [0.485, 0.456, 0.406] std = [0.229, 0.224, 0.225] scale = 299 input_shape = 299 use_parallel = True use_gpu = True print('lets start') data_transforms = get_data_transforms(mode="eval", model_origin="Inception V3", mean=None, std=None, scale=None, input_shape=299) print('data_transform ends') print(data_transforms) dataloaders, dataset_sizes, class_names, class_2_idx = load_data(data_dir, data_transforms, mode = 'eval', batch_size=batch_size, num_workers=1) print('load finished') # Get model if(restore): print('==> Resuming from checkpoint..') assert os.path.isdir('checkpoint'), 'Error: no checkpoint directory found!' model_conv=torch.load('checkpoint/ckpt_led.t7') model_conv=model_conv.module else: model_conv = torchvision.models.inception_v3(pretrained=True) # Take model with only first ? layers model_conv = model_take_lower_layers(model_conv, layer_number=3) if use_parallel and use_gpu: print("[Using all the available GPUs]") model_conv.cuda() model_conv = nn.DataParallel(model_conv, device_ids=[0, 1, 2, 3]) model_conv.cuda() # Set up feature extraction classes and folders idx_2_class=feature_eval_prep(class_2_idx, feat_path=output_dir) print(model_conv) eval_model(model_conv, dataloaders, dataset_sizes, use_gpu, batch_size, idx_2_class, feat_path=output_dir) # Then send feature data to the server

[ 1, 515, 4842, 305, 29889, 1300, 468, 3665, 1053, 28736, 13, 3166, 260, 29939, 18933, 1053, 260, 29939, 18933, 13, 3166, 4842, 305, 4924, 1053, 20035, 29892, 4733, 29892, 4327, 29879, 13, 5215, 4842, 305, 13, 5215, 4842, 305, 29889, 15755, 408, 302, 29876, 13, 5215, 4842, 305, 29889, 20640, 408, 5994, 13, 3166, 4842, 305, 29889, 20640, 1053, 301, 29878, 29918, 816, 14952, 13, 5215, 12655, 408, 7442, 13, 5215, 931, 13, 5215, 2897, 13, 5215, 1852, 5510, 13, 5215, 4842, 305, 4924, 13, 5215, 3509, 13, 5215, 10876, 13, 9675, 29889, 2084, 29889, 4397, 703, 6995, 636, 1159, 13, 3166, 3667, 29879, 29889, 1272, 29918, 19170, 1053, 679, 29918, 1272, 29918, 9067, 29879, 29892, 2254, 29918, 1272, 29892, 4682, 29918, 14513, 29918, 15287, 13, 3166, 10585, 29889, 21891, 1053, 7945, 29918, 4299, 29892, 19745, 29918, 4299, 13, 3166, 10585, 29889, 4299, 29918, 2917, 1053, 1904, 29918, 19730, 29918, 13609, 29918, 29277, 13, 13, 2277, 29937, 910, 2471, 338, 304, 4866, 278, 3353, 1889, 310, 6597, 292, 5680, 515, 263, 731, 310, 301, 24025, 1967, 848, 29889, 13, 2277, 4309, 9382, 278, 1418, 7003, 24574, 1192, 8561, 1854, 393, 278, 848, 338, 7160, 297, 1494, 982, 13, 15945, 29908, 13, 13, 29871, 448, 848, 29914, 13, 418, 448, 770, 29918, 29896, 4138, 29914, 13, 3986, 448, 10153, 29896, 29889, 2732, 13, 3986, 448, 10153, 29906, 29889, 2732, 13, 418, 448, 770, 29918, 29906, 4138, 29914, 13, 418, 6317, 856, 13, 418, 448, 770, 29918, 29876, 4138, 29914, 13, 259, 13, 15945, 29908, 13, 16680, 353, 1852, 5510, 29889, 15730, 11726, 29898, 8216, 2433, 19737, 29911, 25350, 297, 1441, 26101, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 2492, 29918, 3972, 742, 2322, 2433, 6904, 14968, 29914, 742, 1134, 29922, 710, 29892, 1371, 2433, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 4905, 29918, 3972, 742, 2322, 2433, 6904, 22100, 29914, 742, 1134, 29922, 710, 29892, 1371, 2433, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 5060, 487, 742, 2322, 29922, 29896, 29892, 1134, 29922, 524, 29892, 1371, 2433, 1332, 1979, 17749, 278, 6087, 1904, 470, 451, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 8394, 29918, 4905, 742, 2322, 29922, 29906, 29892, 1134, 29922, 524, 29892, 1371, 2433, 1552, 1353, 310, 278, 1962, 310, 278, 2186, 7546, 1495, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 16175, 29918, 2311, 742, 2322, 29922, 29896, 29892, 1134, 29922, 524, 29897, 13, 16680, 29889, 1202, 29918, 23516, 877, 489, 1022, 2878, 29879, 742, 2322, 29922, 29941, 29900, 29892, 1134, 29922, 524, 29897, 13, 13, 5085, 353, 13812, 29889, 5510, 29918, 5085, 580, 13, 1272, 29918, 3972, 353, 6389, 29889, 2492, 29918, 3972, 13, 5060, 487, 29922, 5085, 29889, 5060, 487, 13, 29876, 29918, 1990, 29922, 5085, 29889, 8394, 29918, 4905, 13, 16175, 29918, 2311, 29922, 5085, 29889, 16175, 29918, 2311, 13, 1022, 2878, 29879, 29922, 5085, 29889, 1022, 2878, 29879, 13, 4905, 29918, 3972, 29922, 5085, 29889, 4905, 29918, 3972, 13, 13, 2080, 29918, 12181, 353, 29871, 29906, 29929, 29929, 13, 12676, 353, 518, 29900, 29889, 29946, 29947, 29945, 29892, 29871, 29900, 29889, 29946, 29945, 29953, 29892, 29871, 29900, 29889, 29946, 29900, 29953, 29962, 13, 4172, 353, 518, 29900, 29889, 29906, 29906, 29929, 29892, 29871, 29900, 29889, 29906, 29906, 29946, 29892, 29871, 29900, 29889, 29906, 29906, 29945, 29962, 13, 7052, 353, 29871, 29906, 29929, 29929, 13, 2080, 29918, 12181, 353, 29871, 29906, 29929, 29929, 29871, 13, 1509, 29918, 23482, 353, 5852, 13, 1509, 29918, 29887, 3746, 353, 5852, 13, 13, 2158, 877, 10376, 1369, 1495, 13, 1272, 29918, 9067, 29879, 353, 679, 29918, 1272, 29918, 9067, 29879, 29898, 8513, 543, 14513, 613, 1904, 29918, 12574, 543, 797, 1441, 478, 29941, 613, 29871, 13, 462, 3986, 2099, 29922, 8516, 29892, 3659, 29922, 8516, 29892, 6287, 29922, 8516, 29892, 1881, 29918, 12181, 29922, 29906, 29929, 29929, 29897, 13, 2158, 877, 1272, 29918, 9067, 10614, 1495, 13, 2158, 29898, 1272, 29918, 9067, 29879, 29897, 13, 29881, 2075, 29877, 24574, 29892, 8783, 29918, 29879, 7093, 29892, 770, 29918, 7039, 29892, 770, 29918, 29906, 29918, 13140, 353, 2254, 29918, 1272, 29898, 1272, 29918, 3972, 29892, 848, 29918, 9067, 29879, 29892, 4464, 353, 525, 14513, 742, 9853, 29918, 2311, 29922, 16175, 29918, 2311, 29892, 954, 29918, 1287, 414, 29922, 29896, 29897, 13, 2158, 877, 1359, 7743, 1495, 13, 29937, 3617, 1904, 13, 13, 361, 29898, 5060, 487, 1125, 13, 1678, 1596, 877, 1360, 29958, 2538, 9929, 515, 1423, 3149, 636, 1495, 13, 1678, 4974, 2897, 29889, 2084, 29889, 275, 3972, 877, 3198, 3149, 5477, 525, 2392, 29901, 694, 1423, 3149, 3884, 1476, 20714, 13, 1678, 1904, 29918, 20580, 29922, 7345, 305, 29889, 1359, 877, 3198, 3149, 29914, 384, 415, 29918, 839, 29889, 29873, 29955, 1495, 13, 1678, 1904, 29918, 20580, 29922, 4299, 29918, 20580, 29889, 5453, 13, 2870, 29901, 13, 1678, 1904, 29918, 20580, 353, 4842, 305, 4924, 29889, 9794, 29889, 1239, 683, 29918, 29894, 29941, 29898, 1457, 3018, 1312, 29922, 5574, 29897, 13, 13, 29937, 11190, 1904, 411, 871, 937, 1577, 15359, 13, 4299, 29918, 20580, 353, 1904, 29918, 19730, 29918, 13609, 29918, 29277, 29898, 4299, 29918, 20580, 29892, 7546, 29918, 4537, 29922, 29941, 29897, 13, 13, 361, 671, 29918, 23482, 322, 671, 29918, 29887, 3746, 29901, 13, 1678, 1596, 703, 29961, 15156, 599, 278, 3625, 22796, 29879, 29962, 1159, 13, 1678, 1904, 29918, 20580, 29889, 29883, 6191, 580, 13, 1678, 1904, 29918, 20580, 353, 302, 29876, 29889, 1469, 2177, 6553, 29898, 4299, 29918, 20580, 29892, 4742, 29918, 4841, 11759, 29900, 29892, 29871, 29896, 29892, 29871, 29906, 29892, 29871, 29941, 2314, 13, 1678, 1904, 29918, 20580, 29889, 29883, 6191, 580, 13, 268, 13, 13, 29937, 3789, 701, 4682, 4805, 428, 4413, 322, 16495, 13, 13140, 29918, 29906, 29918, 1990, 29922, 14394, 29918, 14513, 29918, 15287, 29898, 1990, 29918, 29906, 29918, 13140, 29892, 1238, 271, 29918, 2084, 29922, 4905, 29918, 3972, 29897, 13, 2158, 29898, 4299, 29918, 20580, 29897, 13, 14513, 29918, 4299, 29898, 4299, 29918, 20580, 29892, 1418, 7003, 24574, 29892, 8783, 29918, 29879, 7093, 29892, 29871, 671, 29918, 29887, 3746, 29892, 9853, 29918, 2311, 29892, 29871, 13, 965, 22645, 29918, 29906, 29918, 1990, 29892, 1238, 271, 29918, 2084, 29922, 4905, 29918, 3972, 29897, 13, 13, 29937, 1987, 3638, 4682, 848, 304, 278, 1923, 13, 13, 2 ]

bender/evaluator/factory_method.py

otovo/bender

2

123762

from typing import Generic, TypeVar from bender.evaluator.interface import Evaluator EvaluableType = TypeVar('EvaluableType') class Evaluable(Generic[EvaluableType]): def evaluate(self, evaluators: list[Evaluator]) -> EvaluableType: raise NotImplementedError()

[ 1, 515, 19229, 1053, 3251, 293, 29892, 5167, 9037, 13, 13, 3166, 289, 1581, 29889, 24219, 1061, 29889, 13248, 1053, 382, 4387, 1061, 13, 13, 29923, 4387, 519, 1542, 353, 5167, 9037, 877, 29923, 4387, 519, 1542, 1495, 13, 13, 13, 1990, 382, 4387, 519, 29898, 15809, 29961, 29923, 4387, 519, 1542, 29962, 1125, 13, 1678, 822, 14707, 29898, 1311, 29892, 6161, 4097, 29901, 1051, 29961, 29923, 4387, 1061, 2314, 1599, 382, 4387, 519, 1542, 29901, 13, 4706, 12020, 2216, 1888, 2037, 287, 2392, 580, 13, 2 ]

Fairness_attack/data_utils.py

Ninarehm/attack

8

22929

from __future__ import division from __future__ import print_function from __future__ import absolute_import from __future__ import unicode_literals import json import numpy as np import scipy.sparse as sparse import defenses import upper_bounds class NumpyEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, np.ndarray): assert len(np.shape(obj)) == 1 # Can only handle 1D ndarrays return obj.tolist() elif isinstance(obj, np.floating): return float(obj) elif isinstance(obj, np.int16): return str(obj) else: return super(NumpyEncoder, self).default(obj) def get_class_map(): return {-1: 0, 1: 1} def get_centroids(X, Y, class_map): num_classes = len(set(Y)) num_features = X.shape[1] centroids = np.zeros((num_classes, num_features)) for y in set(Y): centroids[class_map[y], :] = np.mean(X[Y == y, :], axis=0) return centroids def get_centroid_vec(centroids): assert centroids.shape[0] == 2 centroid_vec = centroids[0, :] - centroids[1, :] centroid_vec /= np.linalg.norm(centroid_vec) centroid_vec = np.reshape(centroid_vec, (1, -1)) return centroid_vec # Can speed this up if necessary def get_sqrt_inv_cov(X, Y, class_map): num_classes = len(set(Y)) num_features = X.shape[1] sqrt_inv_covs = np.zeros((num_classes, num_features, num_features)) for y in set(Y): cov = np.cov(X[Y == y, :], rowvar=False) U_cov, S_cov, _ = np.linalg.svd(cov + 1e-6 * np.eye(num_features)) print(' min eigenvalue of cov after 1e-6 reg is %s' % np.min(S_cov)) sqrt_inv_covs[class_map[y], ...] = U_cov.dot(np.diag(1 / np.sqrt(S_cov)).dot(U_cov.T)) return sqrt_inv_covs # Can speed this up if necessary def get_data_params(X, Y, percentile): num_classes = len(set(Y)) num_features = X.shape[1] centroids = np.zeros((num_classes, num_features)) class_map = get_class_map() centroids = get_centroids(X, Y, class_map) # Get radii for sphere sphere_radii = np.zeros(2) dists = defenses.compute_dists_under_Q( X, Y, Q=None, centroids=centroids, class_map=class_map, norm=2) for y in set(Y): sphere_radii[class_map[y]] = np.percentile(dists[Y == y], percentile) # Get vector between centroids centroid_vec = get_centroid_vec(centroids) # Get radii for slab slab_radii = np.zeros(2) for y in set(Y): dists = np.abs( (X[Y == y, :].dot(centroid_vec.T) - centroids[class_map[y], :].dot(centroid_vec.T))) slab_radii[class_map[y]] = np.percentile(dists, percentile) return class_map, centroids, centroid_vec, sphere_radii, slab_radii def vstack(A, B): if (sparse.issparse(A) or sparse.issparse(B)): return sparse.vstack((A, B), format='csr') else: return np.concatenate((A, B), axis=0) def add_points(x, y, X, Y, num_copies=1): if num_copies == 0: return X, Y x = np.array(x).reshape(-1) if sparse.issparse(X): X_modified = sparse.vstack(( X, sparse.csr_matrix( np.tile(x, num_copies).reshape(-1, len(x))))) else: X_modified = np.append( X, np.tile(x, num_copies).reshape(-1, len(x)), axis=0) Y_modified = np.append(Y, np.tile(y, num_copies)) return X_modified, Y_modified def copy_random_points(X, Y, mask_to_choose_from=None, target_class=1, num_copies=1, random_seed=18, replace=False): # Only copy from points where mask_to_choose_from == True np.random.seed(random_seed) combined_mask = (np.array(Y, dtype=int) == target_class) if mask_to_choose_from is not None: combined_mask = combined_mask & mask_to_choose_from idx_to_copy = np.random.choice( np.where(combined_mask)[0], size=num_copies, replace=replace) if sparse.issparse(X): X_modified = sparse.vstack((X, X[idx_to_copy, :])) else: X_modified = np.append(X, X[idx_to_copy, :], axis=0) Y_modified = np.append(Y, Y[idx_to_copy]) return X_modified, Y_modified def threshold(X): return np.clip(X, 0, np.max(X)) def rround(X, random_seed=3, return_sparse=True): if sparse.issparse(X): X = X.toarray() X_frac, X_int = np.modf(X) X_round = X_int + (np.random.random_sample(X.shape) < X_frac) if return_sparse: return sparse.csr_matrix(X_round) else: return X_round def rround_with_repeats(X, Y, repeat_points, random_seed=3, return_sparse=True): X_round = rround(X, random_seed=random_seed, return_sparse=return_sparse) assert Y.shape[0] == X.shape[0] if repeat_points > 1: pos_idx = 0 neg_idx = 0 for i in range(X_round.shape[0]): if Y[i] == 1: if pos_idx % repeat_points == 0: last_pos_x = X_round[i, :] else: X_round[i, :] = last_pos_x pos_idx += 1 else: if neg_idx % repeat_points == 0: last_neg_x = X_round[i, :] else: X_round[i, :] = last_neg_x neg_idx += 1 return X_round def project_onto_sphere(X, Y, radii, centroids, class_map): for y in set(Y): idx = class_map[y] radius = radii[idx] centroid = centroids[idx, :] shifts_from_center = X[Y == y, :] - centroid dists_from_center = np.linalg.norm(shifts_from_center, axis=1) shifts_from_center[dists_from_center > radius, :] *= radius / np.reshape(dists_from_center[dists_from_center > radius], (-1, 1)) X[Y == y, :] = shifts_from_center + centroid print("Number of (%s) points projected onto sphere: %s" % (y, np.sum(dists_from_center > radius))) return X def project_onto_slab(X, Y, v, radii, centroids, class_map): """ v^T x needs to be within radius of v^T centroid. v is 1 x d and normalized. """ v = np.reshape(v / np.linalg.norm(v), (1, -1)) for y in set(Y): idx = class_map[y] radius = radii[idx] centroid = centroids[idx, :] # If v^T x is too large, then dists_along_v is positive # If it's too small, then dists_along_v is negative dists_along_v = (X[Y == y, :] - centroid).dot(v.T) shifts_along_v = np.reshape( dists_along_v - np.clip(dists_along_v, -radius, radius), (1, -1)) X[Y == y, :] -= shifts_along_v.T.dot(v) print("Number of (%s) points projected onto slab: %s" % (y, np.sum(np.abs(dists_along_v) > radius))) return X def get_projection_fn( X_clean, Y_clean, sphere=True, slab=True, non_negative=False, less_than_one=False, use_lp_rounding=False, percentile=90): print(X_clean) goal = 'find_nearest_point' class_map, centroids, centroid_vec, sphere_radii, slab_radii = get_data_params(X_clean, Y_clean, percentile) if use_lp_rounding or non_negative or less_than_one or (sphere and slab): if use_lp_rounding: projector = upper_bounds.Minimizer( d=X_clean.shape[1], use_sphere=sphere, use_slab=slab, non_negative=non_negative, less_than_one=less_than_one, constrain_max_loss=False, goal=goal, X=X_clean ) projector = upper_bounds.Minimizer( d=X_clean.shape[1], use_sphere=sphere, use_slab=slab, non_negative=non_negative, less_than_one=less_than_one, constrain_max_loss=False, goal=goal, X=X_clean ) else: projector = upper_bounds.Minimizer( d=X_clean.shape[1], use_sphere=sphere, use_slab=slab, non_negative=non_negative, less_than_one=less_than_one, constrain_max_loss=False, goal=goal ) # Add back low-rank projection if we move back to just sphere+slab def project_onto_feasible_set( X, Y, theta=None, bias=None, ): num_examples = X.shape[0] proj_X = np.zeros_like(X) for idx in range(num_examples): x = X[idx, :] y = Y[idx] class_idx = class_map[y] centroid = centroids[class_idx, :] sphere_radius = sphere_radii[class_idx] slab_radius = slab_radii[class_idx] proj_X[idx, :] = projector.minimize_over_feasible_set( None, x, centroid, centroid_vec, sphere_radius, slab_radius) num_projected = np.sum(np.max(X - proj_X, axis=1) > 1e-6) print('Projected %s examples.' % num_projected) return proj_X else: def project_onto_feasible_set(X, Y, theta=None, bias=None): if sphere: X = project_onto_sphere(X, Y, sphere_radii, centroids, class_map) elif slab: X = project_onto_slab(X, Y, centroid_vec, slab_radii, centroids, class_map) return X return project_onto_feasible_set def filter_points_outside_feasible_set(X, Y, centroids, centroid_vec, sphere_radii, slab_radii, class_map): sphere_dists = defenses.compute_dists_under_Q( X, Y, Q=None, centroids=centroids, class_map=class_map) slab_dists = defenses.compute_dists_under_Q( X, Y, Q=centroid_vec, centroids=centroids, class_map=class_map) idx_to_keep = np.array([True] * X.shape[0]) for y in set(Y): idx_to_keep[np.where(Y == y)[0][sphere_dists[Y == y] > sphere_radii[class_map[y]]]] = False idx_to_keep[np.where(Y == y)[0][slab_dists[Y == y] > slab_radii[class_map[y]]]] = False print(np.sum(idx_to_keep)) return X[idx_to_keep, :], Y[idx_to_keep]

[ 1, 515, 4770, 29888, 9130, 1649, 1053, 8542, 13, 3166, 4770, 29888, 9130, 1649, 1053, 1596, 29918, 2220, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 5215, 4390, 13, 5215, 12655, 408, 7442, 13, 5215, 4560, 2272, 29889, 29879, 5510, 408, 29234, 13, 13, 5215, 822, 11259, 13, 5215, 7568, 29918, 23687, 13, 13, 1990, 11848, 2272, 8566, 6119, 29898, 3126, 29889, 7249, 8566, 6119, 1125, 13, 1678, 822, 2322, 29898, 1311, 29892, 5446, 1125, 13, 4706, 565, 338, 8758, 29898, 5415, 29892, 7442, 29889, 299, 2378, 1125, 13, 9651, 4974, 7431, 29898, 9302, 29889, 12181, 29898, 5415, 876, 1275, 29871, 29896, 396, 1815, 871, 4386, 29871, 29896, 29928, 29871, 299, 2378, 29879, 13, 9651, 736, 5446, 29889, 25027, 391, 580, 13, 4706, 25342, 338, 8758, 29898, 5415, 29892, 7442, 29889, 29888, 417, 1218, 1125, 13, 9651, 736, 5785, 29898, 5415, 29897, 13, 4706, 25342, 338, 8758, 29898, 5415, 29892, 7442, 29889, 524, 29896, 29953, 1125, 13, 9651, 736, 851, 29898, 5415, 29897, 13, 4706, 1683, 29901, 13, 9651, 736, 2428, 29898, 8009, 2272, 8566, 6119, 29892, 1583, 467, 4381, 29898, 5415, 29897, 13, 13, 1753, 679, 29918, 1990, 29918, 1958, 7295, 13, 1678, 736, 21389, 29896, 29901, 29871, 29900, 29892, 29871, 29896, 29901, 29871, 29896, 29913, 13, 13, 1753, 679, 29918, 1760, 1007, 29879, 29898, 29990, 29892, 612, 29892, 770, 29918, 1958, 1125, 13, 1678, 954, 29918, 13203, 353, 7431, 29898, 842, 29898, 29979, 876, 13, 1678, 954, 29918, 22100, 353, 1060, 29889, 12181, 29961, 29896, 29962, 13, 1678, 1644, 1007, 29879, 353, 7442, 29889, 3298, 359, 3552, 1949, 29918, 13203, 29892, 954, 29918, 22100, 876, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 1644, 1007, 29879, 29961, 1990, 29918, 1958, 29961, 29891, 1402, 584, 29962, 353, 7442, 29889, 12676, 29898, 29990, 29961, 29979, 1275, 343, 29892, 584, 1402, 9685, 29922, 29900, 29897, 13, 1678, 736, 1644, 1007, 29879, 13, 13, 1753, 679, 29918, 1760, 1007, 29918, 2003, 29898, 1760, 1007, 29879, 1125, 13, 1678, 4974, 1644, 1007, 29879, 29889, 12181, 29961, 29900, 29962, 1275, 29871, 29906, 13, 1678, 1644, 1007, 29918, 2003, 353, 1644, 1007, 29879, 29961, 29900, 29892, 584, 29962, 448, 1644, 1007, 29879, 29961, 29896, 29892, 584, 29962, 13, 1678, 1644, 1007, 29918, 2003, 847, 29922, 7442, 29889, 29880, 979, 29887, 29889, 12324, 29898, 1760, 1007, 29918, 2003, 29897, 13, 1678, 1644, 1007, 29918, 2003, 353, 7442, 29889, 690, 14443, 29898, 1760, 1007, 29918, 2003, 29892, 313, 29896, 29892, 448, 29896, 876, 13, 1678, 736, 1644, 1007, 29918, 2003, 13, 13, 29937, 1815, 6210, 445, 701, 565, 5181, 13, 1753, 679, 29918, 3676, 29918, 11569, 29918, 24542, 29898, 29990, 29892, 612, 29892, 770, 29918, 1958, 1125, 13, 1678, 954, 29918, 13203, 353, 7431, 29898, 842, 29898, 29979, 876, 13, 1678, 954, 29918, 22100, 353, 1060, 29889, 12181, 29961, 29896, 29962, 13, 1678, 18074, 2273, 29918, 11569, 29918, 24542, 29879, 353, 7442, 29889, 3298, 359, 3552, 1949, 29918, 13203, 29892, 954, 29918, 22100, 29892, 954, 29918, 22100, 876, 13, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 18838, 353, 7442, 29889, 24542, 29898, 29990, 29961, 29979, 1275, 343, 29892, 584, 1402, 1948, 1707, 29922, 8824, 29897, 13, 4706, 501, 29918, 24542, 29892, 317, 29918, 24542, 29892, 903, 353, 7442, 29889, 29880, 979, 29887, 29889, 4501, 29881, 29898, 24542, 718, 29871, 29896, 29872, 29899, 29953, 334, 7442, 29889, 1032, 29872, 29898, 1949, 29918, 22100, 876, 13, 4706, 1596, 877, 1678, 1375, 7388, 1767, 310, 18838, 1156, 29871, 29896, 29872, 29899, 29953, 1072, 338, 1273, 29879, 29915, 1273, 7442, 29889, 1195, 29898, 29903, 29918, 24542, 876, 13, 4706, 18074, 2273, 29918, 11569, 29918, 24542, 29879, 29961, 1990, 29918, 1958, 29961, 29891, 1402, 2023, 29962, 353, 501, 29918, 24542, 29889, 6333, 29898, 9302, 29889, 6051, 351, 29898, 29896, 847, 7442, 29889, 3676, 29898, 29903, 29918, 24542, 8106, 6333, 29898, 29965, 29918, 24542, 29889, 29911, 876, 13, 13, 1678, 736, 18074, 2273, 29918, 11569, 29918, 24542, 29879, 13, 13, 29937, 1815, 6210, 445, 701, 565, 5181, 13, 1753, 679, 29918, 1272, 29918, 7529, 29898, 29990, 29892, 612, 29892, 10151, 488, 1125, 13, 1678, 954, 29918, 13203, 353, 7431, 29898, 842, 29898, 29979, 876, 13, 1678, 954, 29918, 22100, 353, 1060, 29889, 12181, 29961, 29896, 29962, 13, 1678, 1644, 1007, 29879, 353, 7442, 29889, 3298, 359, 3552, 1949, 29918, 13203, 29892, 954, 29918, 22100, 876, 13, 1678, 770, 29918, 1958, 353, 679, 29918, 1990, 29918, 1958, 580, 13, 1678, 1644, 1007, 29879, 353, 679, 29918, 1760, 1007, 29879, 29898, 29990, 29892, 612, 29892, 770, 29918, 1958, 29897, 13, 13, 1678, 396, 3617, 2971, 2236, 363, 20745, 13, 1678, 20745, 29918, 3665, 2236, 353, 7442, 29889, 3298, 359, 29898, 29906, 29897, 13, 1678, 1320, 29879, 353, 822, 11259, 29889, 26017, 29918, 29881, 2879, 29918, 5062, 29918, 29984, 29898, 13, 4706, 1060, 29892, 612, 29892, 13, 4706, 660, 29922, 8516, 29892, 13, 4706, 1644, 1007, 29879, 29922, 1760, 1007, 29879, 29892, 13, 4706, 770, 29918, 1958, 29922, 1990, 29918, 1958, 29892, 13, 4706, 6056, 29922, 29906, 29897, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 20745, 29918, 3665, 2236, 29961, 1990, 29918, 1958, 29961, 29891, 5262, 353, 7442, 29889, 25376, 488, 29898, 29881, 2879, 29961, 29979, 1275, 343, 1402, 10151, 488, 29897, 13, 13, 1678, 396, 3617, 4608, 1546, 1644, 1007, 29879, 13, 1678, 1644, 1007, 29918, 2003, 353, 679, 29918, 1760, 1007, 29918, 2003, 29898, 1760, 1007, 29879, 29897, 13, 13, 1678, 396, 3617, 2971, 2236, 363, 2243, 370, 13, 1678, 2243, 370, 29918, 3665, 2236, 353, 7442, 29889, 3298, 359, 29898, 29906, 29897, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 1320, 29879, 353, 7442, 29889, 6897, 29898, 13, 9651, 313, 29990, 29961, 29979, 1275, 343, 29892, 584, 1822, 6333, 29898, 1760, 1007, 29918, 2003, 29889, 29911, 29897, 448, 1644, 1007, 29879, 29961, 1990, 29918, 1958, 29961, 29891, 1402, 584, 1822, 6333, 29898, 1760, 1007, 29918, 2003, 29889, 29911, 4961, 13, 4706, 2243, 370, 29918, 3665, 2236, 29961, 1990, 29918, 1958, 29961, 29891, 5262, 353, 7442, 29889, 25376, 488, 29898, 29881, 2879, 29892, 10151, 488, 29897, 13, 13, 1678, 736, 770, 29918, 1958, 29892, 1644, 1007, 29879, 29892, 1644, 1007, 29918, 2003, 29892, 20745, 29918, 3665, 2236, 29892, 2243, 370, 29918, 3665, 2236, 13, 13, 13, 1753, 325, 1429, 29898, 29909, 29892, 350, 1125, 13, 1678, 565, 313, 29879, 5510, 29889, 790, 5510, 29898, 29909, 29897, 470, 29234, 29889, 790, 5510, 29898, 29933, 22164, 13, 4706, 736, 29234, 29889, 29894, 1429, 3552, 29909, 29892, 350, 511, 3402, 2433, 2395, 29878, 1495, 13, 1678, 1683, 29901, 13, 4706, 736, 7442, 29889, 535, 29883, 2579, 403, 3552, 29909, 29892, 350, 511, 9685, 29922, 29900, 29897, 13, 13, 13, 1753, 788, 29918, 9748, 29898, 29916, 29892, 343, 29892, 1060, 29892, 612, 29892, 954, 29918, 9708, 583, 29922, 29896, 1125, 13, 1678, 565, 954, 29918, 9708, 583, 1275, 29871, 29900, 29901, 13, 4706, 736, 1060, 29892, 612, 13, 1678, 921, 353, 7442, 29889, 2378, 29898, 29916, 467, 690, 14443, 6278, 29896, 29897, 13, 13, 1678, 565, 29234, 29889, 790, 5510, 29898, 29990, 1125, 13, 4706, 1060, 29918, 1545, 2164, 353, 29234, 29889, 29894, 1429, 3552, 13, 9651, 1060, 29892, 13, 9651, 29234, 29889, 2395, 29878, 29918, 5344, 29898, 13, 18884, 7442, 29889, 29873, 488, 29898, 29916, 29892, 954, 29918, 9708, 583, 467, 690, 14443, 6278, 29896, 29892, 7431, 29898, 29916, 876, 4961, 13, 1678, 1683, 29901, 13, 4706, 1060, 29918, 1545, 2164, 353, 7442, 29889, 4397, 29898, 13, 9651, 1060, 29892, 13, 9651, 7442, 29889, 29873, 488, 29898, 29916, 29892, 954, 29918, 9708, 583, 467, 690, 14443, 6278, 29896, 29892, 7431, 29898, 29916, 8243, 13, 9651, 9685, 29922, 29900, 29897, 13, 1678, 612, 29918, 1545, 2164, 353, 7442, 29889, 4397, 29898, 29979, 29892, 7442, 29889, 29873, 488, 29898, 29891, 29892, 954, 29918, 9708, 583, 876, 13, 1678, 736, 1060, 29918, 1545, 2164, 29892, 612, 29918, 1545, 2164, 13, 13, 13, 1753, 3509, 29918, 8172, 29918, 9748, 29898, 29990, 29892, 612, 29892, 11105, 29918, 517, 29918, 21803, 29918, 3166, 29922, 8516, 29892, 3646, 29918, 1990, 29922, 29896, 29892, 954, 29918, 9708, 583, 29922, 29896, 29892, 13, 462, 539, 4036, 29918, 26776, 29922, 29896, 29947, 29892, 5191, 29922, 8824, 1125, 13, 1678, 396, 9333, 3509, 515, 3291, 988, 11105, 29918, 517, 29918, 21803, 29918, 3166, 1275, 5852, 13, 13, 1678, 7442, 29889, 8172, 29889, 26776, 29898, 8172, 29918, 26776, 29897, 13, 1678, 12420, 29918, 13168, 353, 313, 9302, 29889, 2378, 29898, 29979, 29892, 26688, 29922, 524, 29897, 1275, 3646, 29918, 1990, 29897, 13, 1678, 565, 11105, 29918, 517, 29918, 21803, 29918, 3166, 338, 451, 6213, 29901, 13, 4706, 12420, 29918, 13168, 353, 12420, 29918, 13168, 669, 11105, 29918, 517, 29918, 21803, 29918, 3166, 13, 13, 1678, 22645, 29918, 517, 29918, 8552, 353, 7442, 29889, 8172, 29889, 16957, 29898, 13, 4706, 7442, 29889, 3062, 29898, 17743, 1312, 29918, 13168, 9601, 29900, 1402, 13, 4706, 2159, 29922, 1949, 29918, 9708, 583, 29892, 13, 4706, 5191, 29922, 6506, 29897, 13, 13, 1678, 565, 29234, 29889, 790, 5510, 29898, 29990, 1125, 13, 4706, 1060, 29918, 1545, 2164, 353, 29234, 29889, 29894, 1429, 3552, 29990, 29892, 1060, 29961, 13140, 29918, 517, 29918, 8552, 29892, 584, 12622, 13, 1678, 1683, 29901, 13, 4706, 1060, 29918, 1545, 2164, 353, 7442, 29889, 4397, 29898, 29990, 29892, 1060, 29961, 13140, 29918, 517, 29918, 8552, 29892, 584, 1402, 9685, 29922, 29900, 29897, 13, 1678, 612, 29918, 1545, 2164, 353, 7442, 29889, 4397, 29898, 29979, 29892, 612, 29961, 13140, 29918, 517, 29918, 8552, 2314, 13, 1678, 736, 1060, 29918, 1545, 2164, 29892, 612, 29918, 1545, 2164, 13, 13, 13, 1753, 16897, 29898, 29990, 1125, 13, 1678, 736, 7442, 29889, 24049, 29898, 29990, 29892, 29871, 29900, 29892, 7442, 29889, 3317, 29898, 29990, 876, 13, 13, 13, 1753, 364, 14486, 29898, 29990, 29892, 4036, 29918, 26776, 29922, 29941, 29892, 736, 29918, 29879, 5510, 29922, 5574, 1125, 13, 1678, 565, 29234, 29889, 790, 5510, 29898, 29990, 1125, 13, 4706, 1060, 353, 1060, 29889, 517, 2378, 580, 13, 13, 1678, 1060, 29918, 1154, 29892, 1060, 29918, 524, 353, 7442, 29889, 1545, 29888, 29898, 29990, 29897, 13, 1678, 1060, 29918, 14486, 353, 1060, 29918, 524, 718, 313, 9302, 29889, 8172, 29889, 8172, 29918, 11249, 29898, 29990, 29889, 12181, 29897, 529, 1060, 29918, 1154, 29897, 13, 1678, 565, 736, 29918, 29879, 5510, 29901, 13, 4706, 736, 29234, 29889, 2395, 29878, 29918, 5344, 29898, 29990, 29918, 14486, 29897, 13, 1678, 1683, 29901, 13, 4706, 736, 1060, 29918, 14486, 13, 13, 13, 1753, 364, 14486, 29918, 2541, 29918, 276, 412, 1446, 29898, 29990, 29892, 612, 29892, 12312, 29918, 9748, 29892, 4036, 29918, 26776, 29922, 29941, 29892, 736, 29918, 29879, 5510, 29922, 5574, 1125, 13, 13, 1678, 1060, 29918, 14486, 353, 364, 14486, 29898, 29990, 29892, 4036, 29918, 26776, 29922, 8172, 29918, 26776, 29892, 736, 29918, 29879, 5510, 29922, 2457, 29918, 29879, 5510, 29897, 13, 13, 1678, 4974, 612, 29889, 12181, 29961, 29900, 29962, 1275, 1060, 29889, 12181, 29961, 29900, 29962, 13, 13, 1678, 565, 12312, 29918, 9748, 1405, 29871, 29896, 29901, 13, 4706, 926, 29918, 13140, 353, 29871, 29900, 13, 4706, 3480, 29918, 13140, 353, 29871, 29900, 13, 4706, 363, 474, 297, 3464, 29898, 29990, 29918, 14486, 29889, 12181, 29961, 29900, 29962, 1125, 13, 9651, 565, 612, 29961, 29875, 29962, 1275, 29871, 29896, 29901, 13, 18884, 565, 926, 29918, 13140, 1273, 12312, 29918, 9748, 1275, 29871, 29900, 29901, 13, 462, 1678, 1833, 29918, 1066, 29918, 29916, 353, 1060, 29918, 14486, 29961, 29875, 29892, 584, 29962, 13, 18884, 1683, 29901, 13, 462, 1678, 1060, 29918, 14486, 29961, 29875, 29892, 584, 29962, 353, 1833, 29918, 1066, 29918, 29916, 13, 18884, 926, 29918, 13140, 4619, 29871, 29896, 13, 9651, 1683, 29901, 13, 18884, 565, 3480, 29918, 13140, 1273, 12312, 29918, 9748, 1275, 29871, 29900, 29901, 13, 462, 1678, 1833, 29918, 10052, 29918, 29916, 353, 1060, 29918, 14486, 29961, 29875, 29892, 584, 29962, 13, 18884, 1683, 29901, 13, 462, 1678, 1060, 29918, 14486, 29961, 29875, 29892, 584, 29962, 353, 1833, 29918, 10052, 29918, 29916, 13, 18884, 3480, 29918, 13140, 4619, 29871, 29896, 13, 13, 1678, 736, 1060, 29918, 14486, 13, 13, 13, 1753, 2060, 29918, 10268, 29918, 29879, 9085, 29898, 29990, 29892, 612, 29892, 2971, 2236, 29892, 1644, 1007, 29879, 29892, 770, 29918, 1958, 1125, 13, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 22645, 353, 770, 29918, 1958, 29961, 29891, 29962, 13, 4706, 11855, 353, 2971, 2236, 29961, 13140, 29962, 13, 4706, 1644, 1007, 353, 1644, 1007, 29879, 29961, 13140, 29892, 584, 29962, 13, 13, 4706, 528, 17741, 29918, 3166, 29918, 5064, 353, 1060, 29961, 29979, 1275, 343, 29892, 584, 29962, 448, 1644, 1007, 13, 4706, 1320, 29879, 29918, 3166, 29918, 5064, 353, 7442, 29889, 29880, 979, 29887, 29889, 12324, 29898, 845, 17741, 29918, 3166, 29918, 5064, 29892, 9685, 29922, 29896, 29897, 13, 13, 4706, 528, 17741, 29918, 3166, 29918, 5064, 29961, 29881, 2879, 29918, 3166, 29918, 5064, 1405, 11855, 29892, 584, 29962, 334, 29922, 11855, 847, 7442, 29889, 690, 14443, 29898, 29881, 2879, 29918, 3166, 29918, 5064, 29961, 29881, 2879, 29918, 3166, 29918, 5064, 1405, 11855, 1402, 8521, 29896, 29892, 29871, 29896, 876, 13, 4706, 1060, 29961, 29979, 1275, 343, 29892, 584, 29962, 353, 528, 17741, 29918, 3166, 29918, 5064, 718, 1644, 1007, 13, 13, 4706, 1596, 703, 4557, 310, 313, 29995, 29879, 29897, 3291, 2060, 287, 11480, 20745, 29901, 1273, 29879, 29908, 1273, 313, 29891, 29892, 7442, 29889, 2083, 29898, 29881, 2879, 29918, 3166, 29918, 5064, 1405, 11855, 4961, 13, 13, 1678, 736, 1060, 13, 13, 13, 1753, 2060, 29918, 10268, 29918, 2536, 370, 29898, 29990, 29892, 612, 29892, 325, 29892, 2971, 2236, 29892, 1644, 1007, 29879, 29892, 770, 29918, 1958, 1125, 13, 1678, 9995, 13, 1678, 325, 29985, 29911, 921, 4225, 304, 367, 2629, 11855, 310, 325, 29985, 29911, 1644, 1007, 29889, 13, 1678, 325, 338, 29871, 29896, 921, 270, 322, 4226, 1891, 29889, 13, 1678, 9995, 13, 1678, 325, 353, 7442, 29889, 690, 14443, 29898, 29894, 847, 7442, 29889, 29880, 979, 29887, 29889, 12324, 29898, 29894, 511, 313, 29896, 29892, 448, 29896, 876, 13, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 22645, 353, 770, 29918, 1958, 29961, 29891, 29962, 13, 4706, 11855, 353, 2971, 2236, 29961, 13140, 29962, 13, 4706, 1644, 1007, 353, 1644, 1007, 29879, 29961, 13140, 29892, 584, 29962, 13, 13, 4706, 396, 960, 325, 29985, 29911, 921, 338, 2086, 2919, 29892, 769, 1320, 29879, 29918, 284, 549, 29918, 29894, 338, 6374, 13, 4706, 396, 960, 372, 29915, 29879, 2086, 2319, 29892, 769, 1320, 29879, 29918, 284, 549, 29918, 29894, 338, 8178, 13, 4706, 1320, 29879, 29918, 284, 549, 29918, 29894, 353, 313, 29990, 29961, 29979, 1275, 343, 29892, 584, 29962, 448, 1644, 1007, 467, 6333, 29898, 29894, 29889, 29911, 29897, 13, 4706, 528, 17741, 29918, 284, 549, 29918, 29894, 353, 7442, 29889, 690, 14443, 29898, 13, 9651, 1320, 29879, 29918, 284, 549, 29918, 29894, 448, 7442, 29889, 24049, 29898, 29881, 2879, 29918, 284, 549, 29918, 29894, 29892, 448, 13471, 29892, 11855, 511, 13, 9651, 313, 29896, 29892, 448, 29896, 876, 13, 4706, 1060, 29961, 29979, 1275, 343, 29892, 584, 29962, 22361, 528, 17741, 29918, 284, 549, 29918, 29894, 29889, 29911, 29889, 6333, 29898, 29894, 29897, 13, 13, 4706, 1596, 703, 4557, 310, 313, 29995, 29879, 29897, 3291, 2060, 287, 11480, 2243, 370, 29901, 1273, 29879, 29908, 1273, 313, 29891, 29892, 7442, 29889, 2083, 29898, 9302, 29889, 6897, 29898, 29881, 2879, 29918, 284, 549, 29918, 29894, 29897, 1405, 11855, 4961, 13, 13, 1678, 736, 1060, 13, 13, 1753, 679, 29918, 771, 6929, 29918, 9144, 29898, 13, 1678, 1060, 29918, 14941, 29892, 13, 1678, 612, 29918, 14941, 29892, 13, 1678, 20745, 29922, 5574, 29892, 13, 1678, 2243, 370, 29922, 5574, 29892, 13, 1678, 1661, 29918, 22198, 29922, 8824, 29892, 13, 1678, 3109, 29918, 27603, 29918, 650, 29922, 8824, 29892, 13, 1678, 671, 29918, 22833, 29918, 29878, 12449, 29922, 8824, 29892, 13, 1678, 10151, 488, 29922, 29929, 29900, 1125, 13, 1678, 1596, 29898, 29990, 29918, 14941, 29897, 13, 1678, 7306, 353, 525, 2886, 29918, 28502, 342, 29918, 3149, 29915, 13, 1678, 770, 29918, 1958, 29892, 1644, 1007, 29879, 29892, 1644, 1007, 29918, 2003, 29892, 20745, 29918, 3665, 2236, 29892, 2243, 370, 29918, 3665, 2236, 353, 679, 29918, 1272, 29918, 7529, 29898, 29990, 29918, 14941, 29892, 612, 29918, 14941, 29892, 10151, 488, 29897, 13, 1678, 565, 671, 29918, 22833, 29918, 29878, 12449, 470, 1661, 29918, 22198, 470, 3109, 29918, 27603, 29918, 650, 470, 313, 29879, 9085, 322, 2243, 370, 1125, 13, 4706, 565, 671, 29918, 22833, 29918, 29878, 12449, 29901, 13, 9651, 2060, 272, 353, 7568, 29918, 23687, 29889, 8140, 326, 3950, 29898, 13, 18884, 270, 29922, 29990, 29918, 14941, 29889, 12181, 29961, 29896, 1402, 13, 18884, 671, 29918, 29879, 9085, 29922, 29879, 9085, 29892, 13, 18884, 671, 29918, 2536, 370, 29922, 2536, 370, 29892, 13, 18884, 1661, 29918, 22198, 29922, 5464, 29918, 22198, 29892, 13, 18884, 3109, 29918, 27603, 29918, 650, 29922, 2222, 29918, 27603, 29918, 650, 29892, 13, 18884, 1040, 6038, 29918, 3317, 29918, 6758, 29922, 8824, 29892, 13, 18884, 7306, 29922, 28111, 29892, 13, 18884, 1060, 29922, 29990, 29918, 14941, 13, 18884, 1723, 13, 9651, 2060, 272, 353, 7568, 29918, 23687, 29889, 8140, 326, 3950, 29898, 13, 18884, 270, 29922, 29990, 29918, 14941, 29889, 12181, 29961, 29896, 1402, 13, 18884, 671, 29918, 29879, 9085, 29922, 29879, 9085, 29892, 13, 18884, 671, 29918, 2536, 370, 29922, 2536, 370, 29892, 13, 18884, 1661, 29918, 22198, 29922, 5464, 29918, 22198, 29892, 13, 18884, 3109, 29918, 27603, 29918, 650, 29922, 2222, 29918, 27603, 29918, 650, 29892, 13, 18884, 1040, 6038, 29918, 3317, 29918, 6758, 29922, 8824, 29892, 13, 18884, 7306, 29922, 28111, 29892, 13, 18884, 1060, 29922, 29990, 29918, 14941, 13, 18884, 1723, 13, 4706, 1683, 29901, 13, 9651, 2060, 272, 353, 7568, 29918, 23687, 29889, 8140, 326, 3950, 29898, 13, 18884, 270, 29922, 29990, 29918, 14941, 29889, 12181, 29961, 29896, 1402, 13, 18884, 671, 29918, 29879, 9085, 29922, 29879, 9085, 29892, 13, 18884, 671, 29918, 2536, 370, 29922, 2536, 370, 29892, 13, 18884, 1661, 29918, 22198, 29922, 5464, 29918, 22198, 29892, 13, 18884, 3109, 29918, 27603, 29918, 650, 29922, 2222, 29918, 27603, 29918, 650, 29892, 13, 18884, 1040, 6038, 29918, 3317, 29918, 6758, 29922, 8824, 29892, 13, 18884, 7306, 29922, 28111, 13, 18884, 1723, 13, 13, 4706, 396, 3462, 1250, 4482, 29899, 10003, 18246, 565, 591, 4337, 1250, 304, 925, 20745, 29974, 2536, 370, 13, 4706, 822, 2060, 29918, 10268, 29918, 1725, 294, 1821, 29918, 842, 29898, 13, 9651, 1060, 29892, 612, 29892, 13, 9651, 278, 941, 29922, 8516, 29892, 13, 9651, 24003, 29922, 8516, 29892, 13, 632, 1125, 13, 9651, 954, 29918, 19057, 353, 1060, 29889, 12181, 29961, 29900, 29962, 13, 9651, 410, 29926, 29918, 29990, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 29990, 29897, 13, 13, 9651, 363, 22645, 297, 3464, 29898, 1949, 29918, 19057, 1125, 13, 18884, 921, 353, 1060, 29961, 13140, 29892, 584, 29962, 13, 18884, 343, 353, 612, 29961, 13140, 29962, 13, 18884, 770, 29918, 13140, 353, 770, 29918, 1958, 29961, 29891, 29962, 13, 13, 18884, 1644, 1007, 353, 1644, 1007, 29879, 29961, 1990, 29918, 13140, 29892, 584, 29962, 13, 18884, 20745, 29918, 13471, 353, 20745, 29918, 3665, 2236, 29961, 1990, 29918, 13140, 29962, 13, 18884, 2243, 370, 29918, 13471, 353, 2243, 370, 29918, 3665, 2236, 29961, 1990, 29918, 13140, 29962, 13, 18884, 410, 29926, 29918, 29990, 29961, 13140, 29892, 584, 29962, 353, 2060, 272, 29889, 1195, 326, 675, 29918, 957, 29918, 1725, 294, 1821, 29918, 842, 29898, 13, 462, 1678, 6213, 29892, 13, 462, 1678, 921, 29892, 13, 462, 1678, 1644, 1007, 29892, 13, 462, 1678, 1644, 1007, 29918, 2003, 29892, 13, 462, 1678, 20745, 29918, 13471, 29892, 13, 462, 1678, 2243, 370, 29918, 13471, 29897, 13, 13, 9651, 954, 29918, 4836, 287, 353, 7442, 29889, 2083, 29898, 9302, 29889, 3317, 29898, 29990, 448, 410, 29926, 29918, 29990, 29892, 9685, 29922, 29896, 29897, 1405, 29871, 29896, 29872, 29899, 29953, 29897, 13, 9651, 1596, 877, 7653, 287, 1273, 29879, 6455, 6169, 1273, 954, 29918, 4836, 287, 29897, 13, 9651, 736, 410, 29926, 29918, 29990, 13, 13, 1678, 1683, 29901, 13, 4706, 822, 2060, 29918, 10268, 29918, 1725, 294, 1821, 29918, 842, 29898, 29990, 29892, 612, 29892, 278, 941, 29922, 8516, 29892, 24003, 29922, 8516, 1125, 13, 9651, 565, 20745, 29901, 13, 18884, 1060, 353, 2060, 29918, 10268, 29918, 29879, 9085, 29898, 29990, 29892, 612, 29892, 20745, 29918, 3665, 2236, 29892, 1644, 1007, 29879, 29892, 770, 29918, 1958, 29897, 13, 13, 9651, 25342, 2243, 370, 29901, 13, 18884, 1060, 353, 2060, 29918, 10268, 29918, 2536, 370, 29898, 29990, 29892, 612, 29892, 1644, 1007, 29918, 2003, 29892, 2243, 370, 29918, 3665, 2236, 29892, 1644, 1007, 29879, 29892, 770, 29918, 1958, 29897, 13, 9651, 736, 1060, 13, 13, 1678, 736, 2060, 29918, 10268, 29918, 1725, 294, 1821, 29918, 842, 13, 13, 13, 1753, 4175, 29918, 9748, 29918, 449, 2975, 29918, 1725, 294, 1821, 29918, 842, 29898, 29990, 29892, 612, 29892, 13, 462, 462, 539, 1644, 1007, 29879, 29892, 1644, 1007, 29918, 2003, 29892, 13, 462, 462, 539, 20745, 29918, 3665, 2236, 29892, 2243, 370, 29918, 3665, 2236, 29892, 13, 462, 462, 539, 770, 29918, 1958, 1125, 13, 1678, 20745, 29918, 29881, 2879, 353, 822, 11259, 29889, 26017, 29918, 29881, 2879, 29918, 5062, 29918, 29984, 29898, 13, 4706, 1060, 29892, 13, 4706, 612, 29892, 13, 4706, 660, 29922, 8516, 29892, 13, 4706, 1644, 1007, 29879, 29922, 1760, 1007, 29879, 29892, 13, 4706, 770, 29918, 1958, 29922, 1990, 29918, 1958, 29897, 13, 1678, 2243, 370, 29918, 29881, 2879, 353, 822, 11259, 29889, 26017, 29918, 29881, 2879, 29918, 5062, 29918, 29984, 29898, 13, 4706, 1060, 29892, 13, 4706, 612, 29892, 13, 4706, 660, 29922, 1760, 1007, 29918, 2003, 29892, 13, 4706, 1644, 1007, 29879, 29922, 1760, 1007, 29879, 29892, 13, 4706, 770, 29918, 1958, 29922, 1990, 29918, 1958, 29897, 13, 13, 1678, 22645, 29918, 517, 29918, 17462, 353, 7442, 29889, 2378, 4197, 5574, 29962, 334, 1060, 29889, 12181, 29961, 29900, 2314, 13, 1678, 363, 343, 297, 731, 29898, 29979, 1125, 13, 4706, 22645, 29918, 517, 29918, 17462, 29961, 9302, 29889, 3062, 29898, 29979, 1275, 343, 9601, 29900, 3816, 29879, 9085, 29918, 29881, 2879, 29961, 29979, 1275, 343, 29962, 1405, 20745, 29918, 3665, 2236, 29961, 1990, 29918, 1958, 29961, 29891, 5262, 5262, 353, 7700, 13, 4706, 22645, 29918, 517, 29918, 17462, 29961, 9302, 29889, 3062, 29898, 29979, 1275, 343, 9601, 29900, 3816, 2536, 370, 29918, 29881, 2879, 29961, 29979, 1275, 343, 29962, 1405, 2243, 370, 29918, 3665, 2236, 29961, 1990, 29918, 1958, 29961, 29891, 5262, 5262, 353, 7700, 13, 13, 1678, 1596, 29898, 9302, 29889, 2083, 29898, 13140, 29918, 517, 29918, 17462, 876, 13, 1678, 736, 1060, 29961, 13140, 29918, 517, 29918, 17462, 29892, 584, 1402, 612, 29961, 13140, 29918, 517, 29918, 17462, 29962, 13, 2 ]

hw/hw02/tests/q5.py

surajrampure/data-94-sp21

1

42559

<gh_stars>1-10 test = { 'name': 'q5', 'points': 3, 'suites': [ { 'cases': [ {'code': ">>> big_tippers(['suraj', 15, 'isaac', 9, 'angela', 19]) == ['suraj', 'angela']\nTrue", 'hidden': False, 'locked': False}, { 'code': ">>> big_tippers(['suraj', 15, 'isaac', 25, 'angela', 19, 'anna', 21, 'aayush', 14, 'sukrit', 8]) == ['isaac', 'angela', 'anna']\nTrue", 'hidden': False, 'locked': False}, { 'code': '>>> # If you fail this, note that we want the names of those who tipped MORE than the average,;\n' '>>> # not equal to or more than;\n' ">>> big_tippers(['a', 2, 'b', 2, 'c', 2]) == []\n" 'True', 'hidden': False, 'locked': False}], 'scored': True, 'setup': '', 'teardown': '', 'type': 'doctest'}]}

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 1688, 353, 426, 259, 525, 978, 2396, 525, 29939, 29945, 742, 13, 1678, 525, 9748, 2396, 29871, 29941, 29892, 13, 1678, 525, 2146, 3246, 2396, 518, 259, 426, 259, 525, 11436, 2396, 518, 259, 11117, 401, 2396, 376, 6778, 29958, 4802, 29918, 2034, 22437, 18959, 7610, 1175, 742, 29871, 29896, 29945, 29892, 525, 8069, 562, 742, 29871, 29929, 29892, 525, 574, 3100, 742, 29871, 29896, 29929, 2314, 1275, 6024, 7610, 1175, 742, 525, 574, 3100, 2033, 29905, 29876, 5574, 613, 525, 10892, 2396, 7700, 29892, 525, 29113, 2396, 7700, 1118, 13, 462, 462, 259, 426, 259, 525, 401, 2396, 376, 6778, 29958, 4802, 29918, 2034, 22437, 18959, 7610, 1175, 742, 29871, 29896, 29945, 29892, 525, 8069, 562, 742, 29871, 29906, 29945, 29892, 525, 574, 3100, 742, 29871, 29896, 29929, 29892, 525, 9713, 742, 29871, 29906, 29896, 29892, 525, 29874, 388, 1878, 742, 29871, 29896, 29946, 29892, 525, 2146, 29895, 768, 742, 29871, 29947, 2314, 1275, 6024, 8069, 562, 742, 525, 574, 3100, 742, 525, 9713, 2033, 29905, 29876, 5574, 613, 13, 462, 462, 539, 525, 10892, 2396, 7700, 29892, 13, 462, 462, 539, 525, 29113, 2396, 7700, 1118, 13, 462, 462, 259, 426, 259, 525, 401, 2396, 525, 6778, 29958, 396, 960, 366, 4418, 445, 29892, 4443, 393, 591, 864, 278, 2983, 310, 1906, 1058, 260, 16242, 16999, 1525, 1135, 278, 6588, 29892, 10436, 29876, 29915, 13, 462, 462, 1669, 525, 6778, 29958, 396, 451, 5186, 304, 470, 901, 1135, 10436, 29876, 29915, 13, 462, 462, 1669, 376, 6778, 29958, 4802, 29918, 2034, 22437, 18959, 29874, 742, 29871, 29906, 29892, 525, 29890, 742, 29871, 29906, 29892, 525, 29883, 742, 29871, 29906, 2314, 1275, 5159, 29905, 29876, 29908, 13, 462, 462, 1669, 525, 5574, 742, 13, 462, 462, 539, 525, 10892, 2396, 7700, 29892, 13, 462, 462, 539, 525, 29113, 2396, 7700, 29913, 1402, 13, 462, 418, 525, 1557, 4395, 2396, 5852, 29892, 13, 462, 418, 525, 14669, 2396, 15516, 13, 462, 418, 525, 371, 538, 776, 2396, 15516, 13, 462, 418, 525, 1853, 2396, 525, 1867, 312, 342, 29915, 6525, 29913, 13, 2 ]

timemachines/skaters/nproph/nprophetiskaterfactory.py

iklasky/timemachines

253

25385

<filename>timemachines/skaters/nproph/nprophetiskaterfactory.py from timemachines.skaters.nproph.nprophetinclusion import using_neuralprophet, NeuralProphet if using_neuralprophet: import pandas as pd from typing import List, Tuple, Any from timemachines.skatertools.utilities.conventions import wrap from timemachines.skaters.nproph.nprophparams import NPROPHET_MODEL, NPROPHET_META def nprophet_iskater_factory(y: [[float]], k: int, a: List = None, t: List = None, e=None, freq: str = None, n_max=1000, recursive: bool = False, model_params: dict = None, return_forecast=True): # For now we keep it simple. Will add to this over time y0s = [wrap(yi)[0] for yi in y] x, x_std, forecast,m = nprophet_fit_and_predict_simple(y=y0s,k=k,freq=freq,model_params=model_params) return (x, x_std, forecast, m) if return_forecast else (x, x_std) def nprophet_fit_and_predict_simple(y: [float], k: int, freq: str = None, model_params: dict = None) -> Tuple[ List, List, Any, Any]: """ Simpler wrapper for offlinetesting - univariate only """ assert isinstance(y[0],float) freq = freq or NPROPHET_META['freq'] used_params = NPROPHET_MODEL used_params.update({'n_forecasts':k}) if model_params: used_params.update(model_params) if len(y)<used_params['n_lags']: x = [wrap(y)[0]]*k x_std = [1.0]*k return x, x_std, None, None else: model = NeuralProphet(**used_params) df = pd.DataFrame(columns=['y'], data=y) df['ds'] = pd.date_range(start='2021-01-01', periods=len(y), freq=freq) metrics = model.fit(df, freq=freq, epochs=40, progress_bar=False) future = model.make_future_dataframe(df) forecast = model.predict(future) x = [ forecast['yhat'+str(j+1)].values[-k+j] for j in range(k) ] x_std = [1.0]*k return x, x_std, forecast, model if __name__=='__main__': assert using_neuralprophet,'pip install neuralprophet' from timemachines.skatertools.data.real import hospital k = 3 n = 500 y = hospital(n=n)[-200:] x, x_std, forecast, m = nprophet_iskater_factory(y=y, k=k) print(x) assert len(x) == k x1, x_std1, forecast1, m1 = nprophet_fit_and_predict_simple(y=y, k=k) if True: m.plot(forecast) m1.plot(forecast1) import matplotlib.pyplot as plt plt.show()

[ 1, 529, 9507, 29958, 9346, 331, 496, 1475, 29914, 808, 10412, 29914, 29876, 771, 561, 29914, 29876, 771, 561, 300, 3873, 1008, 14399, 29889, 2272, 13, 3166, 5335, 331, 496, 1475, 29889, 808, 10412, 29889, 29876, 771, 561, 29889, 29876, 771, 561, 300, 262, 10085, 1053, 773, 29918, 484, 3631, 771, 561, 300, 29892, 2448, 3631, 1184, 561, 300, 13, 361, 773, 29918, 484, 3631, 771, 561, 300, 29901, 13, 1678, 1053, 11701, 408, 10518, 13, 1678, 515, 19229, 1053, 2391, 29892, 12603, 552, 29892, 3139, 13, 1678, 515, 5335, 331, 496, 1475, 29889, 808, 1008, 8504, 29889, 4422, 1907, 29889, 535, 794, 1080, 1053, 12244, 13, 1678, 515, 5335, 331, 496, 1475, 29889, 808, 10412, 29889, 29876, 771, 561, 29889, 29876, 771, 561, 7529, 1053, 405, 8618, 19689, 2544, 29918, 20387, 29931, 29892, 405, 8618, 19689, 2544, 29918, 2303, 6040, 13, 13, 1678, 822, 302, 771, 561, 300, 29918, 3873, 1008, 29918, 14399, 29898, 29891, 29901, 5519, 7411, 20526, 413, 29901, 938, 29892, 263, 29901, 2391, 353, 6213, 29892, 260, 29901, 2391, 353, 6213, 29892, 321, 29922, 8516, 29892, 3005, 29939, 29901, 851, 353, 6213, 29892, 302, 29918, 3317, 29922, 29896, 29900, 29900, 29900, 29892, 13, 462, 18884, 16732, 29901, 6120, 353, 7700, 29892, 1904, 29918, 7529, 29901, 9657, 353, 6213, 29892, 736, 29918, 1079, 4384, 29922, 5574, 1125, 13, 4706, 396, 1152, 1286, 591, 3013, 372, 2560, 29889, 2811, 788, 304, 445, 975, 931, 13, 4706, 343, 29900, 29879, 353, 518, 6312, 29898, 25675, 9601, 29900, 29962, 363, 343, 29875, 297, 343, 29962, 13, 4706, 921, 29892, 921, 29918, 4172, 29892, 29821, 579, 29892, 29885, 353, 302, 771, 561, 300, 29918, 9202, 29918, 392, 29918, 27711, 29918, 12857, 29898, 29891, 29922, 29891, 29900, 29879, 29892, 29895, 29922, 29895, 29892, 29888, 7971, 29922, 29888, 7971, 29892, 4299, 29918, 7529, 29922, 4299, 29918, 7529, 29897, 13, 4706, 736, 313, 29916, 29892, 921, 29918, 4172, 29892, 29821, 579, 29892, 286, 29897, 565, 736, 29918, 1079, 4384, 1683, 313, 29916, 29892, 921, 29918, 4172, 29897, 13, 13, 13, 1678, 822, 302, 771, 561, 300, 29918, 9202, 29918, 392, 29918, 27711, 29918, 12857, 29898, 29891, 29901, 518, 7411, 1402, 413, 29901, 938, 29892, 3005, 29939, 29901, 851, 353, 6213, 29892, 1904, 29918, 7529, 29901, 9657, 353, 6213, 29897, 1599, 12603, 552, 29961, 13, 4706, 2391, 29892, 2391, 29892, 3139, 29892, 3139, 5387, 13, 4706, 9995, 3439, 20069, 14476, 363, 1283, 1915, 300, 342, 292, 448, 443, 27432, 403, 871, 9995, 13, 4706, 4974, 338, 8758, 29898, 29891, 29961, 29900, 1402, 7411, 29897, 13, 4706, 3005, 29939, 353, 3005, 29939, 470, 405, 8618, 19689, 2544, 29918, 2303, 6040, 1839, 29888, 7971, 2033, 13, 4706, 1304, 29918, 7529, 353, 405, 8618, 19689, 2544, 29918, 20387, 29931, 13, 4706, 1304, 29918, 7529, 29889, 5504, 3319, 29915, 29876, 29918, 1079, 4384, 29879, 2396, 29895, 1800, 13, 4706, 565, 1904, 29918, 7529, 29901, 13, 9651, 1304, 29918, 7529, 29889, 5504, 29898, 4299, 29918, 7529, 29897, 13, 13, 4706, 565, 7431, 29898, 29891, 29897, 29966, 3880, 29918, 7529, 1839, 29876, 29918, 29880, 810, 2033, 29901, 13, 9651, 921, 353, 518, 6312, 29898, 29891, 9601, 29900, 5262, 29930, 29895, 13, 9651, 921, 29918, 4172, 353, 518, 29896, 29889, 29900, 14178, 29895, 13, 9651, 736, 921, 29892, 921, 29918, 4172, 29892, 6213, 29892, 6213, 13, 4706, 1683, 29901, 13, 9651, 1904, 353, 2448, 3631, 1184, 561, 300, 29898, 1068, 3880, 29918, 7529, 29897, 13, 9651, 4489, 353, 10518, 29889, 17271, 29898, 13099, 29922, 1839, 29891, 7464, 848, 29922, 29891, 29897, 13, 9651, 4489, 1839, 6289, 2033, 353, 10518, 29889, 1256, 29918, 3881, 29898, 2962, 2433, 29906, 29900, 29906, 29896, 29899, 29900, 29896, 29899, 29900, 29896, 742, 23704, 29922, 2435, 29898, 29891, 511, 3005, 29939, 29922, 29888, 7971, 29897, 13, 9651, 21556, 353, 1904, 29889, 9202, 29898, 2176, 29892, 3005, 29939, 29922, 29888, 7971, 29892, 21502, 12168, 29922, 29946, 29900, 29892, 6728, 29918, 1646, 29922, 8824, 29897, 13, 9651, 5434, 353, 1904, 29889, 5675, 29918, 29888, 9130, 29918, 1272, 2557, 29898, 2176, 29897, 13, 9651, 29821, 579, 353, 1904, 29889, 27711, 29898, 29888, 9130, 29897, 13, 9651, 921, 353, 518, 29821, 579, 1839, 29891, 2455, 18717, 710, 29898, 29926, 29974, 29896, 29897, 1822, 5975, 14352, 29895, 29974, 29926, 29962, 363, 432, 297, 3464, 29898, 29895, 29897, 4514, 13, 9651, 921, 29918, 4172, 353, 518, 29896, 29889, 29900, 14178, 29895, 13, 9651, 736, 921, 29892, 921, 29918, 4172, 29892, 29821, 579, 29892, 1904, 13, 13, 13, 361, 4770, 978, 1649, 1360, 29915, 1649, 3396, 1649, 2396, 13, 1678, 4974, 773, 29918, 484, 3631, 771, 561, 300, 5501, 13096, 2601, 19677, 771, 561, 300, 29915, 13, 1678, 515, 5335, 331, 496, 1475, 29889, 808, 1008, 8504, 29889, 1272, 29889, 6370, 1053, 13457, 13, 13, 1678, 413, 353, 29871, 29941, 13, 1678, 302, 353, 29871, 29945, 29900, 29900, 13, 1678, 343, 353, 13457, 29898, 29876, 29922, 29876, 9601, 29899, 29906, 29900, 29900, 17531, 13, 1678, 921, 29892, 921, 29918, 4172, 29892, 29821, 579, 29892, 286, 353, 302, 771, 561, 300, 29918, 3873, 1008, 29918, 14399, 29898, 29891, 29922, 29891, 29892, 413, 29922, 29895, 29897, 13, 1678, 1596, 29898, 29916, 29897, 13, 1678, 4974, 7431, 29898, 29916, 29897, 1275, 413, 13, 1678, 921, 29896, 29892, 921, 29918, 4172, 29896, 29892, 29821, 579, 29896, 29892, 286, 29896, 353, 302, 771, 561, 300, 29918, 9202, 29918, 392, 29918, 27711, 29918, 12857, 29898, 29891, 29922, 29891, 29892, 413, 29922, 29895, 29897, 13, 1678, 565, 5852, 29901, 13, 4706, 286, 29889, 5317, 29898, 1079, 4384, 29897, 13, 4706, 286, 29896, 29889, 5317, 29898, 1079, 4384, 29896, 29897, 13, 4706, 1053, 22889, 29889, 2272, 5317, 408, 14770, 13, 4706, 14770, 29889, 4294, 580, 2 ]

common/pagination.py

pannkotsky/musicworks

0

99706

from rest_framework.pagination import LimitOffsetPagination from rest_framework.response import Response class PaginationWithCountHeader(LimitOffsetPagination): def get_paginated_response(self, data): headers = { 'X-Total-Count': self.count, 'X-Limit': self.limit } return Response(data, headers=headers) def get_paginated_response_schema(self, schema): return schema

[ 1, 515, 1791, 29918, 4468, 29889, 13573, 3381, 1053, 9628, 277, 10302, 29925, 351, 3381, 13, 3166, 1791, 29918, 4468, 29889, 5327, 1053, 13291, 13, 13, 13, 1990, 349, 351, 3381, 3047, 3981, 7850, 29898, 24445, 10302, 29925, 351, 3381, 1125, 13, 1678, 822, 679, 29918, 13573, 262, 630, 29918, 5327, 29898, 1311, 29892, 848, 1125, 13, 4706, 9066, 353, 426, 13, 9651, 525, 29990, 29899, 11536, 29899, 3981, 2396, 1583, 29889, 2798, 29892, 13, 9651, 525, 29990, 29899, 24445, 2396, 1583, 29889, 13400, 13, 4706, 500, 13, 4706, 736, 13291, 29898, 1272, 29892, 9066, 29922, 13662, 29897, 13, 13, 1678, 822, 679, 29918, 13573, 262, 630, 29918, 5327, 29918, 11010, 29898, 1311, 29892, 10938, 1125, 13, 4706, 736, 10938, 13, 2 ]

sample/delete_all_dm.py

techno/python-twoauth

2

103979

#!/usr/bin/env python #-*- coding: utf-8 -*- import sys import twoauth if __name__ == "__main__": ckey = sys.argv[1] csecret = sys.argv[2] atoken = sys.argv[3] asecret = sys.argv[4] api = twoauth.api( ckey, csecret, atoken, asecret) while True: dml = api.dm_list() if not dml: break for dm in dml: print dm["id"] api.dm_destroy(dm["id"])

[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 29899, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 5215, 10876, 13, 5215, 1023, 5150, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 1678, 274, 1989, 353, 10876, 29889, 19218, 29961, 29896, 29962, 13, 1678, 274, 19024, 353, 10876, 29889, 19218, 29961, 29906, 29962, 13, 1678, 472, 4476, 353, 10876, 29889, 19218, 29961, 29941, 29962, 13, 1678, 263, 19024, 353, 10876, 29889, 19218, 29961, 29946, 29962, 13, 268, 13, 1678, 7882, 353, 1023, 5150, 29889, 2754, 29898, 13, 4706, 274, 1989, 29892, 274, 19024, 29892, 472, 4476, 29892, 263, 19024, 29897, 13, 268, 13, 1678, 1550, 5852, 29901, 13, 4706, 270, 828, 353, 7882, 29889, 18933, 29918, 1761, 580, 13, 4706, 565, 451, 270, 828, 29901, 13, 9651, 2867, 13, 13, 4706, 363, 270, 29885, 297, 270, 828, 29901, 13, 9651, 1596, 270, 29885, 3366, 333, 3108, 13, 9651, 7882, 29889, 18933, 29918, 20524, 29898, 18933, 3366, 333, 20068, 13, 2 ]

python-2/beginner/1001-extremely-basic.py

Adriandpr/uri-online-solutions

16

1601099

n1 = int(input()) n2 = int(input()) total = n1 + n2 print "X =", total

[ 1, 302, 29896, 353, 938, 29898, 2080, 3101, 13, 29876, 29906, 353, 938, 29898, 2080, 3101, 13, 13, 7827, 353, 302, 29896, 718, 302, 29906, 13, 13, 2158, 376, 29990, 353, 613, 3001, 13, 2 ]

util/get_weather_icons_map.py

multipolygon/esphome-configs

0

28990

from urllib.request import urlopen import json import re url = urlopen("https://raw.githubusercontent.com/Templarian/MaterialDesign/master/meta.json") meta = [(i['name'], i['codepoint']) for i in json.loads(url.read()) if re.search('^weather-', i['name'])] print('''--- esphome: # ... includes: - weather_icon_map.h # ... font: - file: fonts/materialdesignicons-webfont.ttf id: ... size: ... glyphs:''') for name, codepoint in meta: print(' - "\\U000%s" # %s' % (codepoint, name)) with open('weather_icon_map.h', 'w') as h: h.write('#include <map>\nstd::map<std::string, std::string> weather_icon_map\n') h.write(' {\n') for name, codepoint in meta: h.write(' {"%s", "\\U000%s"},\n' % (name.replace('weather-', ''), codepoint)) h.write(' };\n') print('---') for name, codepoint in meta: print(' "%s",' % (name.replace('weather-', '')))

[ 1, 515, 3142, 1982, 29889, 3827, 1053, 5065, 417, 2238, 13, 5215, 4390, 13, 5215, 337, 13, 13, 2271, 353, 5065, 417, 2238, 703, 991, 597, 1610, 29889, 3292, 1792, 3051, 29889, 510, 29914, 5776, 572, 13956, 29914, 24095, 4002, 647, 29914, 6207, 29914, 7299, 29889, 3126, 1159, 13, 7299, 353, 17288, 29875, 1839, 978, 7464, 474, 1839, 401, 3149, 11287, 363, 474, 297, 4390, 29889, 18132, 29898, 2271, 29889, 949, 3101, 565, 337, 29889, 4478, 877, 29985, 705, 1624, 29899, 742, 474, 1839, 978, 2033, 4638, 13, 13, 2158, 877, 4907, 5634, 13, 267, 561, 608, 29901, 13, 29871, 396, 2023, 13, 29871, 7805, 29901, 13, 1678, 448, 14826, 29918, 4144, 29918, 1958, 29889, 29882, 13, 13, 29937, 2023, 13, 13, 5657, 29901, 13, 29871, 448, 934, 29901, 23849, 29914, 15388, 13892, 27078, 29899, 705, 1635, 609, 29889, 698, 29888, 13, 1678, 1178, 29901, 2023, 13, 1678, 2159, 29901, 2023, 13, 1678, 330, 27026, 29879, 29901, 4907, 1495, 13, 13, 1454, 1024, 29892, 775, 3149, 297, 12700, 29901, 13, 1678, 1596, 877, 418, 448, 376, 1966, 29965, 29900, 29900, 29900, 29995, 29879, 29908, 396, 1273, 29879, 29915, 1273, 313, 401, 3149, 29892, 1024, 876, 13, 13, 2541, 1722, 877, 705, 1624, 29918, 4144, 29918, 1958, 29889, 29882, 742, 525, 29893, 1495, 408, 298, 29901, 13, 1678, 298, 29889, 3539, 14237, 2856, 529, 1958, 14247, 29876, 4172, 1057, 1958, 29966, 4172, 1057, 1807, 29892, 3659, 1057, 1807, 29958, 14826, 29918, 4144, 29918, 1958, 29905, 29876, 1495, 13, 1678, 298, 29889, 3539, 877, 29871, 2802, 29876, 1495, 13, 1678, 363, 1024, 29892, 775, 3149, 297, 12700, 29901, 13, 4706, 298, 29889, 3539, 877, 1678, 8853, 29995, 29879, 613, 376, 1966, 29965, 29900, 29900, 29900, 29995, 29879, 29908, 7570, 29876, 29915, 1273, 313, 978, 29889, 6506, 877, 705, 1624, 29899, 742, 525, 5477, 775, 3149, 876, 13, 1678, 298, 29889, 3539, 877, 29871, 3980, 29905, 29876, 1495, 13, 13, 2158, 877, 5634, 1495, 13, 1454, 1024, 29892, 775, 3149, 297, 12700, 29901, 13, 1678, 1596, 877, 1678, 11860, 29879, 613, 29915, 1273, 313, 978, 29889, 6506, 877, 705, 1624, 29899, 742, 6629, 4961, 13, 2 ]

picture-edit-test.py

scripsi/picture

0

113617

<filename>picture-edit-test.py import cv2 as cv import numpy as np #img=cv.imread("image.jpg",cv.IMREAD_GRAYSCALE) img=cv.imread("image.jpg") #ret,oimg = cv.threshold(img, 0, 255, cv.THRESH_BINARY + cv.THRESH_OTSU) #gimg = cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C,cv.THRESH_BINARY,11,2) date_img = img[20:50, 1151:1441] meter_a_img = img[730:780,525:815] meter_b_img = img[1160:1200,1455:1745] cv.imwrite("datestamp.png",date_img) cv.imwrite("heating-meter.png",meter_a_img) cv.imwrite("standard-meter.png",meter_b_img) all_img = cv.vconcat([date_img,meter_a_img,meter_b_img]) cv.imwrite("all-meter.jpg",all_img)

[ 1, 529, 9507, 29958, 12095, 29899, 5628, 29899, 1688, 29889, 2272, 13, 5215, 13850, 29906, 408, 13850, 13, 5215, 12655, 408, 7442, 13, 13, 29937, 2492, 29922, 11023, 29889, 326, 949, 703, 3027, 29889, 6173, 613, 11023, 29889, 7833, 16310, 29918, 29954, 4717, 21554, 5454, 1307, 29897, 13, 2492, 29922, 11023, 29889, 326, 949, 703, 3027, 29889, 6173, 1159, 13, 29937, 2267, 29892, 29877, 2492, 353, 13850, 29889, 386, 12268, 29898, 2492, 29892, 29871, 29900, 29892, 29871, 29906, 29945, 29945, 29892, 13850, 29889, 4690, 1525, 7068, 29918, 29933, 1177, 19926, 718, 13850, 29889, 4690, 1525, 7068, 29918, 2891, 14605, 29897, 13, 29937, 29887, 2492, 353, 13850, 29889, 1114, 415, 573, 1349, 12268, 29898, 2492, 29892, 29906, 29945, 29945, 29892, 11023, 29889, 3035, 3301, 29911, 18474, 29918, 4690, 1525, 7068, 29918, 12739, 29965, 1799, 29902, 2190, 29918, 29907, 29892, 11023, 29889, 4690, 1525, 7068, 29918, 29933, 1177, 19926, 29892, 29896, 29896, 29892, 29906, 29897, 13, 1256, 29918, 2492, 353, 10153, 29961, 29906, 29900, 29901, 29945, 29900, 29892, 29871, 29896, 29896, 29945, 29896, 29901, 29896, 29946, 29946, 29896, 29962, 13, 29391, 29918, 29874, 29918, 2492, 353, 10153, 29961, 29955, 29941, 29900, 29901, 29955, 29947, 29900, 29892, 29945, 29906, 29945, 29901, 29947, 29896, 29945, 29962, 13, 29391, 29918, 29890, 29918, 2492, 353, 10153, 29961, 29896, 29896, 29953, 29900, 29901, 29896, 29906, 29900, 29900, 29892, 29896, 29946, 29945, 29945, 29901, 29896, 29955, 29946, 29945, 29962, 13, 11023, 29889, 326, 3539, 703, 4130, 7416, 29889, 2732, 613, 1256, 29918, 2492, 29897, 13, 11023, 29889, 326, 3539, 703, 354, 1218, 29899, 29391, 29889, 2732, 613, 29391, 29918, 29874, 29918, 2492, 29897, 13, 11023, 29889, 326, 3539, 703, 15770, 29899, 29391, 29889, 2732, 613, 29391, 29918, 29890, 29918, 2492, 29897, 13, 497, 29918, 2492, 353, 13850, 29889, 29894, 17685, 4197, 1256, 29918, 2492, 29892, 29391, 29918, 29874, 29918, 2492, 29892, 29391, 29918, 29890, 29918, 2492, 2314, 13, 11023, 29889, 326, 3539, 703, 497, 29899, 29391, 29889, 6173, 613, 497, 29918, 2492, 29897, 13, 2 ]

skimage/__init__.py

jjhelmus/scikit-image

0

1607978

<filename>skimage/__init__.py """Image Processing SciKit (Toolbox for SciPy) ``scikit-image`` (a.k.a. ``skimage``) is a collection of algorithms for image processing and computer vision. The main package of ``skimage`` only provides a few utilities for converting between image data types; for most features, you need to import one of the following subpackages: Subpackages ----------- color Color space conversion. data Test images and example data. draw Drawing primitives (lines, text, etc.) that operate on NumPy arrays. exposure Image intensity adjustment, e.g., histogram equalization, etc. feature Feature detection and extraction, e.g., texture analysis corners, etc. filters Sharpening, edge finding, rank filters, thresholding, etc. graph Graph-theoretic operations, e.g., shortest paths. io Reading, saving, and displaying images and video. measure Measurement of image properties, e.g., similarity and contours. morphology Morphological operations, e.g., opening or skeletonization. novice Simplified interface for teaching purposes. restoration Restoration algorithms, e.g., deconvolution algorithms, denoising, etc. segmentation Partitioning an image into multiple regions. transform Geometric and other transforms, e.g., rotation or the Radon transform. util Generic utilities. viewer A simple graphical user interface for visualizing results and exploring parameters. Utility Functions ----------------- img_as_float Convert an image to floating point format, with values in [0, 1]. img_as_uint Convert an image to unsigned integer format, with values in [0, 65535]. img_as_int Convert an image to signed integer format, with values in [-32768, 32767]. img_as_ubyte Convert an image to unsigned byte format, with values in [0, 255]. """ import os.path as osp import imp import functools import warnings import sys pkg_dir = osp.abspath(osp.dirname(__file__)) data_dir = osp.join(pkg_dir, 'data') __version__ = '0.13dev' try: imp.find_module('nose') except ImportError: def _test(doctest=False, verbose=False): """This would run all unit tests, but nose couldn't be imported so the test suite can not run. """ raise ImportError("Could not load nose. Unit tests not available.") else: def _test(doctest=False, verbose=False): """Run all unit tests.""" import nose args = ['', pkg_dir, '--exe', '--ignore-files=^_test'] if verbose: args.extend(['-v', '-s']) if doctest: args.extend(['--with-doctest', '--ignore-files=^\.', '--ignore-files=^setup\.py$$', '--ignore-files=test']) # Make sure warnings do not break the doc tests with warnings.catch_warnings(): warnings.simplefilter("ignore") success = nose.run('skimage', argv=args) else: success = nose.run('skimage', argv=args) # Return sys.exit code if success: return 0 else: return 1 # do not use `test` as function name as this leads to a recursion problem with # the nose test suite test = _test test_verbose = functools.partial(test, verbose=True) test_verbose.__doc__ = test.__doc__ doctest = functools.partial(test, doctest=True) doctest.__doc__ = doctest.__doc__ doctest_verbose = functools.partial(test, doctest=True, verbose=True) doctest_verbose.__doc__ = doctest.__doc__ # Logic for checking for improper install and importing while in the source # tree when package has not been installed inplace. # Code adapted from scikit-learn's __check_build module. _INPLACE_MSG = """ It appears that you are importing a local scikit-image source tree. For this, you need to have an inplace install. Maybe you are in the source directory and you need to try from another location.""" _STANDARD_MSG = """ Your install of scikit-image appears to be broken. Try re-installing the package following the instructions at: http://scikit-image.org/docs/stable/install.html """ def _raise_build_error(e): # Raise a comprehensible error local_dir = osp.split(__file__)[0] msg = _STANDARD_MSG if local_dir == "skimage": # Picking up the local install: this will work only if the # install is an 'inplace build' msg = _INPLACE_MSG raise ImportError("""%s It seems that scikit-image has not been built correctly. %s""" % (e, msg)) try: # This variable is injected in the __builtins__ by the build # process. It used to enable importing subpackages of skimage when # the binaries are not built __SKIMAGE_SETUP__ except NameError: __SKIMAGE_SETUP__ = False if __SKIMAGE_SETUP__: sys.stderr.write('Partial import of skimage during the build process.\n') # We are not importing the rest of the scikit during the build # process, as it may not be compiled yet else: try: from ._shared import geometry del geometry except ImportError as e: _raise_build_error(e) from .util.dtype import * if sys.version.startswith('2.6'): msg = ("Python 2.6 is deprecated and will not be supported in " "scikit-image 0.13+") warnings.warn(msg, stacklevel=2) del warnings, functools, osp, imp, sys

[ 1, 529, 9507, 29958, 808, 3027, 29914, 1649, 2344, 26914, 2272, 13, 15945, 29908, 2940, 10554, 292, 5636, 13117, 313, 12229, 1884, 363, 5636, 19737, 29897, 13, 13, 16159, 26167, 7354, 29899, 3027, 16159, 313, 29874, 29889, 29895, 29889, 29874, 29889, 4954, 808, 3027, 29952, 6348, 338, 263, 4333, 310, 14009, 363, 1967, 13, 19170, 322, 6601, 18551, 29889, 13, 13, 1576, 1667, 3577, 310, 4954, 808, 3027, 16159, 871, 8128, 263, 2846, 3667, 1907, 363, 17415, 13, 14811, 1967, 848, 4072, 29936, 363, 1556, 5680, 29892, 366, 817, 304, 1053, 697, 310, 278, 13, 23031, 292, 1014, 8318, 29901, 13, 13, 4035, 8318, 13, 1378, 5634, 13, 2780, 13, 1678, 9159, 2913, 11301, 29889, 13, 1272, 13, 1678, 4321, 4558, 322, 1342, 848, 29889, 13, 4012, 13, 1678, 18492, 292, 28147, 3145, 313, 9012, 29892, 1426, 29892, 2992, 1846, 393, 21994, 373, 11848, 19737, 7049, 29889, 13, 735, 1066, 545, 13, 1678, 7084, 26171, 10365, 358, 29892, 321, 29889, 29887, 1696, 9825, 13342, 5186, 2133, 29892, 2992, 29889, 13, 14394, 13, 1678, 5169, 1535, 15326, 322, 4805, 428, 29892, 321, 29889, 29887, 1696, 18459, 7418, 26995, 29892, 2992, 29889, 13, 26705, 13, 1678, 1383, 279, 2238, 292, 29892, 7636, 9138, 29892, 7115, 18094, 29892, 16897, 292, 29892, 2992, 29889, 13, 4262, 13, 1678, 12367, 29899, 1552, 272, 7492, 6931, 29892, 321, 29889, 29887, 1696, 3273, 342, 10898, 29889, 13, 601, 13, 1678, 21439, 29892, 14238, 29892, 322, 16384, 4558, 322, 4863, 29889, 13, 26658, 13, 1678, 2191, 3745, 358, 310, 1967, 4426, 29892, 321, 29889, 29887, 1696, 29501, 322, 640, 2470, 29889, 13, 29885, 5676, 3002, 13, 1678, 3879, 561, 5996, 6931, 29892, 321, 29889, 29887, 1696, 8718, 470, 18109, 11285, 2133, 29889, 13, 13715, 625, 13, 1678, 3439, 572, 2164, 5067, 363, 18819, 11976, 29889, 13, 5060, 12418, 13, 1678, 11654, 12418, 14009, 29892, 321, 29889, 29887, 1696, 316, 535, 4068, 14009, 29892, 972, 29877, 5921, 29892, 2992, 29889, 13, 28192, 362, 13, 1678, 3455, 654, 292, 385, 1967, 964, 2999, 12786, 29889, 13, 9067, 13, 1678, 1879, 14066, 322, 916, 4327, 29879, 29892, 321, 29889, 29887, 1696, 13733, 470, 278, 4957, 265, 4327, 29889, 13, 4422, 13, 1678, 3251, 293, 3667, 1907, 29889, 13, 29894, 15580, 13, 1678, 319, 2560, 3983, 936, 1404, 5067, 363, 7604, 5281, 2582, 322, 3902, 8253, 13, 1678, 4128, 29889, 13, 13, 7270, 537, 6680, 29879, 13, 2683, 29899, 13, 2492, 29918, 294, 29918, 7411, 13, 1678, 14806, 385, 1967, 304, 16526, 1298, 3402, 29892, 411, 1819, 297, 518, 29900, 29892, 29871, 29896, 1822, 13, 2492, 29918, 294, 29918, 13470, 13, 1678, 14806, 385, 1967, 304, 12780, 6043, 3402, 29892, 411, 1819, 297, 518, 29900, 29892, 29871, 29953, 29945, 29945, 29941, 29945, 1822, 13, 2492, 29918, 294, 29918, 524, 13, 1678, 14806, 385, 1967, 304, 8794, 6043, 3402, 29892, 411, 1819, 297, 21069, 29941, 29906, 29955, 29953, 29947, 29892, 29871, 29941, 29906, 29955, 29953, 29955, 1822, 13, 2492, 29918, 294, 29918, 4471, 371, 13, 1678, 14806, 385, 1967, 304, 12780, 7023, 3402, 29892, 411, 1819, 297, 518, 29900, 29892, 29871, 29906, 29945, 29945, 1822, 13, 13, 15945, 29908, 13, 13, 5215, 2897, 29889, 2084, 408, 288, 1028, 13, 5215, 2411, 13, 5215, 2090, 312, 8789, 13, 5215, 18116, 13, 5215, 10876, 13, 13, 15865, 29918, 3972, 353, 288, 1028, 29889, 370, 1028, 493, 29898, 4705, 29889, 25721, 22168, 1445, 1649, 876, 13, 1272, 29918, 3972, 353, 288, 1028, 29889, 7122, 29898, 15865, 29918, 3972, 29892, 525, 1272, 1495, 13, 13, 1649, 3259, 1649, 353, 525, 29900, 29889, 29896, 29941, 3359, 29915, 13, 13, 2202, 29901, 13, 1678, 2411, 29889, 2886, 29918, 5453, 877, 29876, 852, 1495, 13, 19499, 16032, 2392, 29901, 13, 1678, 822, 903, 1688, 29898, 1867, 312, 342, 29922, 8824, 29892, 26952, 29922, 8824, 1125, 13, 4706, 9995, 4013, 723, 1065, 599, 5190, 6987, 29892, 541, 26414, 8496, 29915, 29873, 367, 13, 4706, 19673, 577, 278, 1243, 9460, 508, 451, 1065, 29889, 13, 4706, 9995, 13, 4706, 12020, 16032, 2392, 703, 23323, 451, 2254, 26414, 29889, 13223, 6987, 451, 3625, 23157, 13, 13, 2870, 29901, 13, 1678, 822, 903, 1688, 29898, 1867, 312, 342, 29922, 8824, 29892, 26952, 29922, 8824, 1125, 13, 4706, 9995, 6558, 599, 5190, 6987, 1213, 15945, 13, 4706, 1053, 26414, 13, 4706, 6389, 353, 6024, 742, 282, 9415, 29918, 3972, 29892, 525, 489, 8097, 742, 525, 489, 17281, 29899, 5325, 29922, 29985, 29918, 1688, 2033, 13, 4706, 565, 26952, 29901, 13, 9651, 6389, 29889, 21843, 18959, 29899, 29894, 742, 17411, 29879, 11287, 13, 4706, 565, 437, 312, 342, 29901, 13, 9651, 6389, 29889, 21843, 18959, 489, 2541, 29899, 1867, 312, 342, 742, 525, 489, 17281, 29899, 5325, 29922, 3823, 29889, 742, 13, 462, 308, 525, 489, 17281, 29899, 5325, 29922, 29985, 14669, 23301, 2272, 3997, 742, 525, 489, 17281, 29899, 5325, 29922, 1688, 11287, 13, 9651, 396, 8561, 1854, 18116, 437, 451, 2867, 278, 1574, 6987, 13, 9651, 411, 18116, 29889, 12510, 29918, 25442, 886, 7295, 13, 18884, 18116, 29889, 12857, 4572, 703, 17281, 1159, 13, 18884, 2551, 353, 26414, 29889, 3389, 877, 808, 3027, 742, 1852, 29894, 29922, 5085, 29897, 13, 4706, 1683, 29901, 13, 9651, 2551, 353, 26414, 29889, 3389, 877, 808, 3027, 742, 1852, 29894, 29922, 5085, 29897, 13, 4706, 396, 7106, 10876, 29889, 13322, 775, 13, 4706, 565, 2551, 29901, 13, 9651, 736, 29871, 29900, 13, 4706, 1683, 29901, 13, 9651, 736, 29871, 29896, 13, 13, 13, 29937, 437, 451, 671, 421, 1688, 29952, 408, 740, 1024, 408, 445, 11981, 304, 263, 20437, 1108, 411, 13, 29937, 278, 26414, 1243, 9460, 13, 1688, 353, 903, 1688, 13, 1688, 29918, 369, 15828, 353, 2090, 312, 8789, 29889, 3846, 29898, 1688, 29892, 26952, 29922, 5574, 29897, 13, 1688, 29918, 369, 15828, 17255, 1514, 1649, 353, 1243, 17255, 1514, 1649, 13, 1867, 312, 342, 353, 2090, 312, 8789, 29889, 3846, 29898, 1688, 29892, 437, 312, 342, 29922, 5574, 29897, 13, 1867, 312, 342, 17255, 1514, 1649, 353, 437, 312, 342, 17255, 1514, 1649, 13, 1867, 312, 342, 29918, 369, 15828, 353, 2090, 312, 8789, 29889, 3846, 29898, 1688, 29892, 437, 312, 342, 29922, 5574, 29892, 26952, 29922, 5574, 29897, 13, 1867, 312, 342, 29918, 369, 15828, 17255, 1514, 1649, 353, 437, 312, 342, 17255, 1514, 1649, 13, 13, 13, 29937, 4522, 293, 363, 8454, 363, 4857, 546, 2601, 322, 28348, 1550, 297, 278, 2752, 13, 29937, 5447, 746, 3577, 756, 451, 1063, 5130, 297, 6689, 29889, 13, 29937, 5920, 23430, 515, 4560, 7354, 29899, 19668, 29915, 29879, 4770, 3198, 29918, 4282, 3883, 29889, 13, 29918, 1177, 7390, 11538, 29918, 4345, 29954, 353, 9995, 13, 3112, 5692, 393, 366, 526, 28348, 263, 1887, 4560, 7354, 29899, 3027, 2752, 5447, 29889, 1152, 13, 1366, 29892, 366, 817, 304, 505, 385, 297, 6689, 2601, 29889, 7198, 366, 526, 297, 278, 2752, 13, 12322, 322, 366, 817, 304, 1018, 515, 1790, 4423, 1213, 15945, 13, 13, 29918, 1254, 9468, 17011, 29918, 4345, 29954, 353, 9995, 13, 10858, 2601, 310, 4560, 7354, 29899, 3027, 5692, 304, 367, 9391, 29889, 13, 15870, 337, 29899, 6252, 292, 278, 3577, 1494, 278, 11994, 472, 29901, 13, 1124, 597, 26167, 7354, 29899, 3027, 29889, 990, 29914, 2640, 29914, 13844, 29914, 6252, 29889, 1420, 9995, 13, 13, 13, 1753, 903, 22692, 29918, 4282, 29918, 2704, 29898, 29872, 1125, 13, 1678, 396, 6981, 895, 263, 15171, 575, 1821, 1059, 13, 1678, 1887, 29918, 3972, 353, 288, 1028, 29889, 5451, 22168, 1445, 1649, 9601, 29900, 29962, 13, 1678, 10191, 353, 903, 1254, 9468, 17011, 29918, 4345, 29954, 13, 1678, 565, 1887, 29918, 3972, 1275, 376, 808, 3027, 1115, 13, 4706, 396, 23868, 292, 701, 278, 1887, 2601, 29901, 445, 674, 664, 871, 565, 278, 13, 4706, 396, 2601, 338, 385, 525, 262, 6689, 2048, 29915, 13, 4706, 10191, 353, 903, 1177, 7390, 11538, 29918, 4345, 29954, 13, 1678, 12020, 16032, 2392, 703, 15945, 29995, 29879, 13, 3112, 2444, 393, 4560, 7354, 29899, 3027, 756, 451, 1063, 4240, 5149, 29889, 13, 29995, 29879, 15945, 29908, 1273, 313, 29872, 29892, 10191, 876, 13, 13, 2202, 29901, 13, 1678, 396, 910, 2286, 338, 11658, 287, 297, 278, 4770, 16145, 1144, 1649, 491, 278, 2048, 13, 1678, 396, 1889, 29889, 739, 1304, 304, 9025, 28348, 1014, 8318, 310, 2071, 3027, 746, 13, 1678, 396, 278, 9016, 4314, 526, 451, 4240, 13, 1678, 4770, 16033, 2382, 29918, 10490, 4897, 1649, 13, 19499, 4408, 2392, 29901, 13, 1678, 4770, 16033, 2382, 29918, 10490, 4897, 1649, 353, 7700, 13, 13, 361, 4770, 16033, 2382, 29918, 10490, 4897, 1649, 29901, 13, 1678, 10876, 29889, 303, 20405, 29889, 3539, 877, 7439, 616, 1053, 310, 2071, 3027, 2645, 278, 2048, 1889, 7790, 29876, 1495, 13, 1678, 396, 1334, 526, 451, 28348, 278, 1791, 310, 278, 4560, 7354, 2645, 278, 2048, 13, 1678, 396, 1889, 29892, 408, 372, 1122, 451, 367, 13126, 3447, 13, 2870, 29901, 13, 1678, 1018, 29901, 13, 4706, 515, 869, 29918, 12366, 1053, 16303, 13, 4706, 628, 16303, 13, 1678, 5174, 16032, 2392, 408, 321, 29901, 13, 4706, 903, 22692, 29918, 4282, 29918, 2704, 29898, 29872, 29897, 13, 1678, 515, 869, 4422, 29889, 29881, 1853, 1053, 334, 13, 13, 13, 361, 10876, 29889, 3259, 29889, 27382, 2541, 877, 29906, 29889, 29953, 29374, 13, 1678, 10191, 353, 4852, 11980, 29871, 29906, 29889, 29953, 338, 18164, 322, 674, 451, 367, 6969, 297, 376, 13, 965, 376, 26167, 7354, 29899, 3027, 29871, 29900, 29889, 29896, 29941, 29974, 1159, 13, 1678, 18116, 29889, 25442, 29898, 7645, 29892, 5096, 5563, 29922, 29906, 29897, 13, 13, 13, 6144, 18116, 29892, 2090, 312, 8789, 29892, 288, 1028, 29892, 2411, 29892, 10876, 13, 2 ]

hugs/__init__.py

Bogdanp/hugs

22

14564

from .repository import Repository from .manager import Manager __all__ = ["Manager", "Repository", "__version__"] __version__ = "0.2.0"

[ 1, 515, 869, 19033, 1053, 830, 7036, 13, 3166, 869, 12847, 1053, 15629, 13, 13, 1649, 497, 1649, 353, 6796, 3260, 613, 376, 11481, 613, 376, 1649, 3259, 1649, 3108, 13, 1649, 3259, 1649, 353, 376, 29900, 29889, 29906, 29889, 29900, 29908, 13, 2 ]

netlist.py

phdbreak/netlist_parser.py

11

41186

<gh_stars>10-100 # Parent tree # design # |---> module # |-----> port/wire # |-----> instance # |-----> pin class design_t: def __init__(self): self.modules = dict() def add_module(self, module_name): if (module_name in self.modules.keys()): print 'Error: module (%s) already exisits' % module_name return None m = module_t(module_name) self.modules(m.name) = m return m class module_t: def __init__(self, name): self.name = name self.ports = dict() self.ls_port = list() # port in order self.wires = dict() self.instances = dict() self.params = dict() self.is_hierarchical = True self.full_name = self.name def add_port(self, port_name, direction): if (port_name in self.ports.keys()): print 'Error: port (%s) in module (%s) already exists' % (port_name, self.full_name) return None p = port_t(port_name, self, direction) self.ports(p.name) = p self.ls_port.append(p) return p def add_wire(self, wire_name): if (wire_name in self.wires.keys()): print 'Error: wire (%s) in module (%s) already exists' % (wire_name, self.full_name) return None w = wire_t(wire_name, self) self.wires(w.name) = w return w def add_instance(self, instance_name): if (instance_name in self.instances.keys()): print 'Error: instance (%s) in module (%s) already exists' % (instance_name, self.full_name) return None n = instance_t(instance_name, self) self.instances(n.name) = n return n def add_param(self, param, default_value): if (param in self.params.keys()): print 'Error: param (%s) in module (%s) already exists' % (param, self.full_name) return 0 self.params(param) = default_value return 1 # def __eq__(self, other): # equal = True # if not (self.name == other.name): # equal = False # if not __eq_dict__(self.ports, other.ports): # equal = False # if not __eq_dict__(self.instances, other.instances): # equal = False # if not __eq_dict__(self.wires, other.wires): # equal = False # # if not equal: # print 'Error: modules (%s != %s) donot match' % (self, other) # # return equal class instance_t: 'instance of module' def __init__(self, name, parent_module): self.name = name self.parent_module = parent_module self.pins = dict() self.master_module = None self.params = dict() self.full_name = '%s.%s' % (self.parent_module.name, self.name) for master_port in self.parent_module.ports.values(): p = pin_t(master_port, self) self.pins[p.name] = p def connect_pin(self, pin_name, connect_name): # find connect m = self.parent_module if (connect_name in m.ports.keys()): connect = m.ports(connect_name) elif (connect_name in m.wires.keys()): connect = m.wires(connect_name) else: print 'Error: cannot find connect (%s) in module (%s) for instance (%s)' % (connect_name, m.name, self.name) self.pins[pin_name].ls_connect.append(connect) connect.ls_connect.append(self) def add_param(self, param, value): assert param in self.parent_module.params.keys(), 'Error: param (%s) doesnot exist in module (%s)' % (param, self.parent_module.name) self.params(param) = value # def __eq__(self, other): # equal = True # if (not self.name == other.name) or (not self.parent_module.name == other.parent_module.name) or (not self.master_module.name == other.master_module.name): # equal = False # if not __eq_dict__(self.pins, other.pins): # equal = False # # if not equal: # print 'Error: instances (%s != %s) donot match' % (self, other) # # return equal class net_t: 'basic class for wire/port/pin' def __init__(self, name): self.name = name self.ls_connect = list() class wire_t(net_t): 'wire in module, connect to internal pin' def __init__(self, name, parent_module): net_t.__init__(self, name) self.parent_module = parent_module self.ls_fanin = list() self.ls_fanout = list() class port_t(net_t): 'port of module, connect to internal pin' def __init__(self, name, parent_module, direction): net_t.__init__(self, name) self.parent_module = parent_module assert direction in 'input output bidirection', direction self.direction = direction self.full_name = '%s.%s' % (self.parent_module.name, self.name) # def __eq__(self, other): # if (not self.name == other.name) or (not self.parent_module.name == other.parent_module.name) or (not self.direction == other.direction): # print 'Error: ports (%s != %s) donot match' % (self, other) # return False # else: # return True class pin_t(port_t): 'pin of instance, connect to external port/wire' def __init__(self, master_port, parent_instance): net_t.__init__(self, master_port.name) self.master_port = master_port self.parent_instance = parent_instance self.full_name = '%s.%s.%s' % (self.parent_instance.parent_module.name, self.parent_instance.name, self.name) # def __eq__(self, other): # if (not self.name == other.name) or (not self.master_port.name == other.master_port.name) or (not self.parent_instance.name == other.parent_instance.name): # print 'Error: pins (%s != %s) donot match' % (self, other) # return False # else: # return true ################################################################ # compare 2 design/module ################################################################ def __eq_dict__(dict1, dict2): if (len(set(dict1.keys()) ^ set(dict2.keys())) > 0): return False for key in dict1.keys(): if not (dict1[key] == dict2[port_name]): return False return True

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29899, 29896, 29900, 29900, 13, 30004, 13, 29937, 22280, 5447, 30004, 13, 29937, 2874, 30004, 13, 29937, 891, 489, 976, 3883, 30004, 13, 29937, 539, 891, 807, 976, 2011, 29914, 22376, 30004, 13, 29937, 539, 891, 807, 976, 2777, 30004, 13, 29937, 1669, 891, 807, 976, 12534, 30004, 13, 30004, 13, 1990, 2874, 29918, 29873, 29901, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 30004, 13, 4706, 1583, 29889, 7576, 353, 9657, 26471, 13, 30004, 13, 1678, 822, 788, 29918, 5453, 29898, 1311, 29892, 3883, 29918, 978, 1125, 30004, 13, 4706, 565, 313, 5453, 29918, 978, 297, 1583, 29889, 7576, 29889, 8149, 580, 1125, 30004, 13, 9651, 1596, 525, 2392, 29901, 3883, 313, 29995, 29879, 29897, 2307, 429, 275, 1169, 29915, 1273, 3883, 29918, 978, 30004, 13, 9651, 736, 6213, 30004, 13, 4706, 286, 353, 3883, 29918, 29873, 29898, 5453, 29918, 978, 8443, 13, 4706, 1583, 29889, 7576, 29898, 29885, 29889, 978, 29897, 353, 286, 30004, 13, 4706, 736, 286, 30004, 13, 30004, 13, 1990, 3883, 29918, 29873, 29901, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 1125, 30004, 13, 4706, 1583, 29889, 978, 353, 1024, 30004, 13, 30004, 13, 4706, 1583, 29889, 4011, 353, 9657, 26471, 13, 4706, 1583, 29889, 3137, 29918, 637, 353, 1051, 580, 396, 2011, 297, 1797, 30004, 13, 4706, 1583, 29889, 29893, 2658, 353, 9657, 26471, 13, 4706, 1583, 29889, 2611, 2925, 353, 9657, 26471, 13, 30004, 13, 4706, 1583, 29889, 7529, 353, 9657, 26471, 13, 30004, 13, 4706, 1583, 29889, 275, 29918, 29882, 631, 1279, 936, 353, 5852, 30004, 13, 30004, 13, 4706, 1583, 29889, 8159, 29918, 978, 353, 1583, 29889, 978, 30004, 13, 30004, 13, 1678, 822, 788, 29918, 637, 29898, 1311, 29892, 2011, 29918, 978, 29892, 5305, 1125, 30004, 13, 4706, 565, 313, 637, 29918, 978, 297, 1583, 29889, 4011, 29889, 8149, 580, 1125, 30004, 13, 9651, 1596, 525, 2392, 29901, 2011, 313, 29995, 29879, 29897, 297, 3883, 313, 29995, 29879, 29897, 2307, 4864, 29915, 1273, 313, 637, 29918, 978, 29892, 1583, 29889, 8159, 29918, 978, 8443, 13, 9651, 736, 6213, 30004, 13, 4706, 282, 353, 2011, 29918, 29873, 29898, 637, 29918, 978, 29892, 1583, 29892, 5305, 8443, 13, 4706, 1583, 29889, 4011, 29898, 29886, 29889, 978, 29897, 353, 282, 30004, 13, 4706, 1583, 29889, 3137, 29918, 637, 29889, 4397, 29898, 29886, 8443, 13, 4706, 736, 282, 30004, 13, 30004, 13, 1678, 822, 788, 29918, 22376, 29898, 1311, 29892, 8014, 29918, 978, 1125, 30004, 13, 4706, 565, 313, 22376, 29918, 978, 297, 1583, 29889, 29893, 2658, 29889, 8149, 580, 1125, 30004, 13, 9651, 1596, 525, 2392, 29901, 8014, 313, 29995, 29879, 29897, 297, 3883, 313, 29995, 29879, 29897, 2307, 4864, 29915, 1273, 313, 22376, 29918, 978, 29892, 1583, 29889, 8159, 29918, 978, 8443, 13, 9651, 736, 6213, 30004, 13, 4706, 281, 353, 8014, 29918, 29873, 29898, 22376, 29918, 978, 29892, 1583, 8443, 13, 4706, 1583, 29889, 29893, 2658, 29898, 29893, 29889, 978, 29897, 353, 281, 30004, 13, 4706, 736, 281, 30004, 13, 30004, 13, 1678, 822, 788, 29918, 8758, 29898, 1311, 29892, 2777, 29918, 978, 1125, 30004, 13, 4706, 565, 313, 8758, 29918, 978, 297, 1583, 29889, 2611, 2925, 29889, 8149, 580, 1125, 30004, 13, 9651, 1596, 525, 2392, 29901, 2777, 313, 29995, 29879, 29897, 297, 3883, 313, 29995, 29879, 29897, 2307, 4864, 29915, 1273, 313, 8758, 29918, 978, 29892, 1583, 29889, 8159, 29918, 978, 8443, 13, 9651, 736, 6213, 30004, 13, 4706, 302, 353, 2777, 29918, 29873, 29898, 8758, 29918, 978, 29892, 1583, 8443, 13, 4706, 1583, 29889, 2611, 2925, 29898, 29876, 29889, 978, 29897, 353, 302, 30004, 13, 4706, 736, 302, 30004, 13, 30004, 13, 1678, 822, 788, 29918, 3207, 29898, 1311, 29892, 1828, 29892, 2322, 29918, 1767, 1125, 30004, 13, 4706, 565, 313, 3207, 297, 1583, 29889, 7529, 29889, 8149, 580, 1125, 30004, 13, 9651, 1596, 525, 2392, 29901, 1828, 313, 29995, 29879, 29897, 297, 3883, 313, 29995, 29879, 29897, 2307, 4864, 29915, 1273, 313, 3207, 29892, 1583, 29889, 8159, 29918, 978, 8443, 13, 9651, 736, 29871, 29900, 30004, 13, 4706, 1583, 29889, 7529, 29898, 3207, 29897, 353, 2322, 29918, 1767, 30004, 13, 4706, 736, 29871, 29896, 30004, 13, 30004, 13, 29937, 268, 822, 4770, 1837, 12035, 1311, 29892, 916, 1125, 30004, 13, 29937, 308, 5186, 353, 5852, 30004, 13, 29937, 308, 565, 451, 313, 1311, 29889, 978, 1275, 916, 29889, 978, 1125, 30004, 13, 29937, 632, 5186, 353, 7700, 30004, 13, 29937, 308, 565, 451, 4770, 1837, 29918, 8977, 12035, 1311, 29889, 4011, 29892, 916, 29889, 4011, 1125, 30004, 13, 29937, 632, 5186, 353, 7700, 30004, 13, 29937, 308, 565, 451, 4770, 1837, 29918, 8977, 12035, 1311, 29889, 2611, 2925, 29892, 916, 29889, 2611, 2925, 1125, 30004, 13, 29937, 632, 5186, 353, 7700, 30004, 13, 29937, 308, 565, 451, 4770, 1837, 29918, 8977, 12035, 1311, 29889, 29893, 2658, 29892, 916, 29889, 29893, 2658, 1125, 30004, 13, 29937, 632, 5186, 353, 7700, 30004, 13, 29937, 6756, 13, 29937, 308, 565, 451, 5186, 29901, 30004, 13, 29937, 632, 1596, 525, 2392, 29901, 10585, 313, 29995, 29879, 2804, 1273, 29879, 29897, 1016, 327, 1993, 29915, 1273, 313, 1311, 29892, 916, 8443, 13, 29937, 6756, 13, 29937, 308, 736, 5186, 30004, 13, 30004, 13, 1990, 2777, 29918, 29873, 29901, 30004, 13, 1678, 525, 8758, 310, 3883, 29915, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 29892, 3847, 29918, 5453, 1125, 30004, 13, 4706, 1583, 29889, 978, 353, 1024, 30004, 13, 4706, 1583, 29889, 3560, 29918, 5453, 353, 3847, 29918, 5453, 30004, 13, 4706, 1583, 29889, 29886, 1144, 353, 9657, 26471, 13, 30004, 13, 4706, 1583, 29889, 6207, 29918, 5453, 353, 6213, 30004, 13, 4706, 1583, 29889, 7529, 353, 9657, 26471, 13, 30004, 13, 4706, 1583, 29889, 8159, 29918, 978, 353, 29871, 14210, 29879, 29889, 29995, 29879, 29915, 1273, 313, 1311, 29889, 3560, 29918, 5453, 29889, 978, 29892, 1583, 29889, 978, 8443, 13, 30004, 13, 4706, 363, 5835, 29918, 637, 297, 1583, 29889, 3560, 29918, 5453, 29889, 4011, 29889, 5975, 7295, 30004, 13, 9651, 282, 353, 12534, 29918, 29873, 29898, 6207, 29918, 637, 29892, 1583, 8443, 13, 9651, 1583, 29889, 29886, 1144, 29961, 29886, 29889, 978, 29962, 353, 282, 30004, 13, 30004, 13, 1678, 822, 4511, 29918, 12687, 29898, 1311, 29892, 12534, 29918, 978, 29892, 4511, 29918, 978, 1125, 30004, 13, 4706, 396, 1284, 4511, 30004, 13, 4706, 286, 353, 1583, 29889, 3560, 29918, 5453, 30004, 13, 4706, 565, 313, 6915, 29918, 978, 297, 286, 29889, 4011, 29889, 8149, 580, 1125, 30004, 13, 9651, 4511, 353, 286, 29889, 4011, 29898, 6915, 29918, 978, 8443, 13, 4706, 25342, 313, 6915, 29918, 978, 297, 286, 29889, 29893, 2658, 29889, 8149, 580, 1125, 30004, 13, 9651, 4511, 353, 286, 29889, 29893, 2658, 29898, 6915, 29918, 978, 8443, 13, 4706, 1683, 29901, 30004, 13, 9651, 1596, 525, 2392, 29901, 2609, 1284, 4511, 313, 29995, 29879, 29897, 297, 3883, 313, 29995, 29879, 29897, 363, 2777, 313, 29995, 29879, 16029, 1273, 313, 6915, 29918, 978, 29892, 286, 29889, 978, 29892, 1583, 29889, 978, 8443, 13, 30004, 13, 4706, 1583, 29889, 29886, 1144, 29961, 12687, 29918, 978, 1822, 3137, 29918, 6915, 29889, 4397, 29898, 6915, 8443, 13, 4706, 4511, 29889, 3137, 29918, 6915, 29889, 4397, 29898, 1311, 8443, 13, 30004, 13, 1678, 822, 788, 29918, 3207, 29898, 1311, 29892, 1828, 29892, 995, 1125, 30004, 13, 4706, 4974, 1828, 297, 1583, 29889, 3560, 29918, 5453, 29889, 7529, 29889, 8149, 3285, 525, 2392, 29901, 1828, 313, 29995, 29879, 29897, 947, 1333, 1863, 297, 3883, 313, 29995, 29879, 16029, 1273, 313, 3207, 29892, 1583, 29889, 3560, 29918, 5453, 29889, 978, 8443, 13, 4706, 1583, 29889, 7529, 29898, 3207, 29897, 353, 995, 30004, 13, 30004, 13, 29937, 268, 822, 4770, 1837, 12035, 1311, 29892, 916, 1125, 30004, 13, 29937, 308, 5186, 353, 5852, 30004, 13, 29937, 308, 565, 313, 1333, 1583, 29889, 978, 1275, 916, 29889, 978, 29897, 470, 313, 1333, 1583, 29889, 3560, 29918, 5453, 29889, 978, 1275, 916, 29889, 3560, 29918, 5453, 29889, 978, 29897, 470, 313, 1333, 1583, 29889, 6207, 29918, 5453, 29889, 978, 1275, 916, 29889, 6207, 29918, 5453, 29889, 978, 1125, 30004, 13, 29937, 632, 5186, 353, 7700, 30004, 13, 29937, 308, 565, 451, 4770, 1837, 29918, 8977, 12035, 1311, 29889, 29886, 1144, 29892, 916, 29889, 29886, 1144, 1125, 30004, 13, 29937, 632, 5186, 353, 7700, 30004, 13, 29937, 6756, 13, 29937, 308, 565, 451, 5186, 29901, 30004, 13, 29937, 632, 1596, 525, 2392, 29901, 8871, 313, 29995, 29879, 2804, 1273, 29879, 29897, 1016, 327, 1993, 29915, 1273, 313, 1311, 29892, 916, 8443, 13, 29937, 6756, 13, 29937, 308, 736, 5186, 30004, 13, 30004, 13, 1990, 7787, 29918, 29873, 29901, 30004, 13, 1678, 525, 16121, 770, 363, 8014, 29914, 637, 29914, 12687, 29915, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 1125, 30004, 13, 4706, 1583, 29889, 978, 353, 1024, 30004, 13, 4706, 1583, 29889, 3137, 29918, 6915, 353, 1051, 26471, 13, 30004, 13, 1990, 8014, 29918, 29873, 29898, 1212, 29918, 29873, 1125, 30004, 13, 1678, 525, 22376, 297, 3883, 29892, 4511, 304, 7463, 12534, 29915, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 29892, 3847, 29918, 5453, 1125, 30004, 13, 4706, 7787, 29918, 29873, 17255, 2344, 12035, 1311, 29892, 1024, 8443, 13, 4706, 1583, 29889, 3560, 29918, 5453, 353, 3847, 29918, 5453, 30004, 13, 4706, 1583, 29889, 3137, 29918, 12963, 262, 353, 1051, 26471, 13, 4706, 1583, 29889, 3137, 29918, 12963, 449, 353, 1051, 26471, 13, 30004, 13, 1990, 2011, 29918, 29873, 29898, 1212, 29918, 29873, 1125, 30004, 13, 1678, 525, 637, 310, 3883, 29892, 4511, 304, 7463, 12534, 29915, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 29892, 3847, 29918, 5453, 29892, 5305, 1125, 30004, 13, 4706, 7787, 29918, 29873, 17255, 2344, 12035, 1311, 29892, 1024, 8443, 13, 4706, 1583, 29889, 3560, 29918, 5453, 353, 3847, 29918, 5453, 30004, 13, 4706, 4974, 5305, 297, 525, 2080, 1962, 21000, 8684, 742, 5305, 30004, 13, 4706, 1583, 29889, 20845, 353, 5305, 30004, 13, 4706, 1583, 29889, 8159, 29918, 978, 353, 14210, 29879, 29889, 29995, 29879, 29915, 1273, 313, 1311, 29889, 3560, 29918, 5453, 29889, 978, 29892, 1583, 29889, 978, 8443, 13, 30004, 13, 29937, 268, 822, 4770, 1837, 12035, 1311, 29892, 916, 1125, 30004, 13, 29937, 308, 565, 313, 1333, 1583, 29889, 978, 1275, 916, 29889, 978, 29897, 470, 313, 1333, 1583, 29889, 3560, 29918, 5453, 29889, 978, 1275, 916, 29889, 3560, 29918, 5453, 29889, 978, 29897, 470, 313, 1333, 1583, 29889, 20845, 1275, 916, 29889, 20845, 1125, 30004, 13, 29937, 632, 1596, 525, 2392, 29901, 16169, 313, 29995, 29879, 2804, 1273, 29879, 29897, 1016, 327, 1993, 29915, 1273, 313, 1311, 29892, 916, 8443, 13, 29937, 632, 736, 7700, 30004, 13, 29937, 308, 1683, 29901, 30004, 13, 29937, 632, 736, 5852, 30004, 13, 30004, 13, 1990, 12534, 29918, 29873, 29898, 637, 29918, 29873, 1125, 30004, 13, 1678, 525, 12687, 310, 2777, 29892, 4511, 304, 7029, 2011, 29914, 22376, 29915, 30004, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 5835, 29918, 637, 29892, 3847, 29918, 8758, 1125, 30004, 13, 4706, 7787, 29918, 29873, 17255, 2344, 12035, 1311, 29892, 5835, 29918, 637, 29889, 978, 8443, 13, 4706, 1583, 29889, 6207, 29918, 637, 353, 5835, 29918, 637, 30004, 13, 4706, 1583, 29889, 3560, 29918, 8758, 353, 3847, 29918, 8758, 30004, 13, 30004, 13, 4706, 1583, 29889, 8159, 29918, 978, 353, 14210, 29879, 29889, 29995, 29879, 29889, 29995, 29879, 29915, 1273, 313, 1311, 29889, 3560, 29918, 8758, 29889, 3560, 29918, 5453, 29889, 978, 29892, 1583, 29889, 3560, 29918, 8758, 29889, 978, 29892, 1583, 29889, 978, 8443, 13, 30004, 13, 29937, 268, 822, 4770, 1837, 12035, 1311, 29892, 916, 1125, 30004, 13, 29937, 308, 565, 313, 1333, 1583, 29889, 978, 1275, 916, 29889, 978, 29897, 470, 313, 1333, 1583, 29889, 6207, 29918, 637, 29889, 978, 1275, 916, 29889, 6207, 29918, 637, 29889, 978, 29897, 470, 313, 1333, 1583, 29889, 3560, 29918, 8758, 29889, 978, 1275, 916, 29889, 3560, 29918, 8758, 29889, 978, 1125, 30004, 13, 29937, 632, 1596, 525, 2392, 29901, 282, 1144, 313, 29995, 29879, 2804, 1273, 29879, 29897, 1016, 327, 1993, 29915, 1273, 313, 1311, 29892, 916, 8443, 13, 29937, 632, 736, 7700, 30004, 13, 29937, 308, 1683, 29901, 30004, 13, 29937, 632, 736, 1565, 30004, 13, 30004, 13, 13383, 13383, 13383, 13383, 30004, 13, 29937, 7252, 29871, 29906, 2874, 29914, 5453, 30004, 13, 13383, 13383, 13383, 13383, 30004, 13, 30004, 13, 1753, 4770, 1837, 29918, 8977, 12035, 8977, 29896, 29892, 9657, 29906, 1125, 30004, 13, 1678, 565, 313, 2435, 29898, 842, 29898, 8977, 29896, 29889, 8149, 3101, 6228, 731, 29898, 8977, 29906, 29889, 8149, 22130, 1405, 29871, 29900, 1125, 30004, 13, 4706, 736, 7700, 30004, 13, 30004, 13, 1678, 363, 1820, 297, 9657, 29896, 29889, 8149, 7295, 30004, 13, 4706, 565, 451, 313, 8977, 29896, 29961, 1989, 29962, 1275, 9657, 29906, 29961, 637, 29918, 978, 29962, 1125, 30004, 13, 9651, 736, 7700, 30004, 13, 30004, 13, 1678, 736, 5852, 30004, 13, 2 ]

src/mcedit2/widgets/infopanel.py

elcarrion06/mcedit2

673

34617

""" ${NAME} """ from __future__ import absolute_import, division, print_function, unicode_literals import logging import time import weakref from PySide import QtGui from mcedit2.widgets.layout import Column log = logging.getLogger(__name__) class InfoPanel(QtGui.QWidget): def __init__(self, attrs, signals, **kwargs): """ Create a widget that displays a list of an object's selected attributes, named in `attrs`. The widget updates itself whenever one of the object's signals named in `signals` is emitted. If an attribute named in `attrs` is not found on `object`, the InfoPanel instance is checked for an attribute of the same name and it is used instead if found. :type attrs: list of attribute names to display :type signals: list of signals to monitor :param kwargs: args for QWidget :type kwargs: """ QtGui.QWidget.__init__(self, **kwargs) self.attrs = attrs self.signals = signals self.lastUpdate = time.time() self.labels = [QtGui.QLabel() for _ in attrs] self.setLayout(Column(*self.labels)) def updateLabels(self): now = time.time() if now < self.lastUpdate + 0.25: return self.lastUpdate = now if self.object: for attr, label in zip(self.attrs, self.labels): try: value = getattr(self.object, attr) except AttributeError: # catches unrelated AttributeErrors in property getters... try: value = getattr(self, attr) except AttributeError: log.exception("Error updating info panel.") value = getattr(self, attr, "Attribute not found") label.setText("%s: %s" % (attr, value)) _object = None @property def object(self): return self._object() @object.setter def object(self, value): self._object = weakref.ref(value) self.updateLabels() for signal in self.signals: signal = getattr(self.object, signal, None) if signal: signal.connect(self.updateLabels) setObject = object.setter

[ 1, 9995, 13, 1678, 6435, 5813, 29913, 13, 15945, 29908, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 29892, 8542, 29892, 1596, 29918, 2220, 29892, 29104, 29918, 20889, 1338, 13, 5215, 12183, 13, 5215, 931, 13, 5215, 8062, 999, 13, 13, 3166, 10772, 23908, 1053, 14705, 28707, 13, 13, 3166, 286, 1133, 277, 29906, 29889, 8030, 29879, 29889, 2680, 1053, 12481, 13, 13, 13, 1188, 353, 12183, 29889, 657, 16363, 22168, 978, 1649, 29897, 13, 13, 1990, 22140, 7490, 29898, 17303, 28707, 29889, 29984, 8801, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 12421, 29879, 29892, 18470, 29892, 3579, 19290, 1125, 13, 4706, 9995, 13, 4706, 6204, 263, 11109, 393, 14423, 263, 1051, 310, 385, 1203, 29915, 29879, 4629, 8393, 29892, 4257, 297, 421, 5552, 29879, 1412, 13, 4706, 450, 11109, 11217, 3528, 10940, 697, 310, 278, 1203, 29915, 29879, 18470, 4257, 297, 421, 4530, 1338, 29952, 338, 953, 4430, 29889, 13, 13, 4706, 960, 385, 5352, 4257, 297, 421, 5552, 29879, 29952, 338, 451, 1476, 373, 421, 3318, 1673, 278, 22140, 7490, 2777, 338, 7120, 363, 13, 4706, 385, 5352, 310, 278, 1021, 1024, 322, 372, 338, 1304, 2012, 565, 1476, 29889, 13, 13, 4706, 584, 1853, 12421, 29879, 29901, 1051, 310, 5352, 2983, 304, 2479, 13, 4706, 584, 1853, 18470, 29901, 1051, 310, 18470, 304, 11819, 13, 4706, 584, 3207, 9049, 5085, 29901, 6389, 363, 660, 8801, 13, 4706, 584, 1853, 9049, 5085, 29901, 13, 4706, 9995, 13, 4706, 14705, 28707, 29889, 29984, 8801, 17255, 2344, 12035, 1311, 29892, 3579, 19290, 29897, 13, 4706, 1583, 29889, 5552, 29879, 353, 12421, 29879, 13, 4706, 1583, 29889, 4530, 1338, 353, 18470, 13, 4706, 1583, 29889, 4230, 6422, 353, 931, 29889, 2230, 580, 13, 4706, 1583, 29889, 21134, 353, 518, 17303, 28707, 29889, 2239, 1107, 580, 363, 903, 297, 12421, 29879, 29962, 13, 13, 4706, 1583, 29889, 842, 3453, 29898, 4409, 10456, 1311, 29889, 21134, 876, 13, 13, 1678, 822, 2767, 4775, 29879, 29898, 1311, 1125, 13, 4706, 1286, 353, 931, 29889, 2230, 580, 13, 4706, 565, 1286, 529, 1583, 29889, 4230, 6422, 718, 29871, 29900, 29889, 29906, 29945, 29901, 13, 9651, 736, 13, 4706, 1583, 29889, 4230, 6422, 353, 1286, 13, 4706, 565, 1583, 29889, 3318, 29901, 13, 9651, 363, 12421, 29892, 3858, 297, 14319, 29898, 1311, 29889, 5552, 29879, 29892, 1583, 29889, 21134, 1125, 13, 18884, 1018, 29901, 13, 462, 1678, 995, 353, 679, 5552, 29898, 1311, 29889, 3318, 29892, 12421, 29897, 13, 18884, 5174, 23833, 2392, 29901, 29871, 396, 4380, 267, 443, 12817, 23833, 22463, 297, 2875, 679, 2153, 856, 13, 462, 1678, 1018, 29901, 13, 462, 4706, 995, 353, 679, 5552, 29898, 1311, 29892, 12421, 29897, 13, 462, 1678, 5174, 23833, 2392, 29901, 13, 462, 4706, 1480, 29889, 11739, 703, 2392, 13271, 5235, 9451, 23157, 13, 462, 4706, 995, 353, 679, 5552, 29898, 1311, 29892, 12421, 29892, 376, 6708, 451, 1476, 1159, 13, 18884, 3858, 29889, 12038, 11702, 29879, 29901, 1273, 29879, 29908, 1273, 313, 5552, 29892, 995, 876, 13, 13, 1678, 903, 3318, 353, 6213, 13, 1678, 732, 6799, 13, 1678, 822, 1203, 29898, 1311, 1125, 13, 4706, 736, 1583, 3032, 3318, 580, 13, 13, 1678, 732, 3318, 29889, 842, 357, 13, 1678, 822, 1203, 29898, 1311, 29892, 995, 1125, 13, 4706, 1583, 3032, 3318, 353, 8062, 999, 29889, 999, 29898, 1767, 29897, 13, 4706, 1583, 29889, 5504, 4775, 29879, 580, 13, 13, 4706, 363, 7182, 297, 1583, 29889, 4530, 1338, 29901, 13, 9651, 7182, 353, 679, 5552, 29898, 1311, 29889, 3318, 29892, 7182, 29892, 6213, 29897, 13, 9651, 565, 7182, 29901, 13, 18884, 7182, 29889, 6915, 29898, 1311, 29889, 5504, 4775, 29879, 29897, 13, 13, 1678, 731, 2061, 353, 1203, 29889, 842, 357, 13, 2 ]

tests/test_monitor_sys.py

CFMTech/monitor-server-api

3

177446

<gh_stars>1-10 # SPDX-FileCopyrightText: 2021 <NAME> <<EMAIL>> # # SPDX-License-Identifier: MIT from http import HTTPStatus from monitor_server import SERVER import json def test_index(monitor, gen): c = gen.new_context() monitor.post_contexts_v1(c) s1, s2, s3 = gen.new_session(), gen.new_session(), gen.new_session() for s in (s1, s2, s3): monitor.post_sessions_v1(s) for i in range(100): m = gen.new_metric(c, s) monitor.post_metrics_v1(m) index = monitor.client.get('/index.html') assert index.status_code == HTTPStatus.OK # Strip parts, and remove '</p>' at the end tmp = index.data.decode().split('\n') s = ' '.join([i.strip() for i in index.data.decode().split('\n')[100:115]])[:-4] assert '>300<' in s assert '>3<' in s assert '>1<' in s def test_pager_get_last(monitor, gen): c = gen.new_context() monitor.post_contexts_v1(c) s1, s2, s3 = gen.new_session(), gen.new_session(), gen.new_session() for s in (s1, s2, s3): monitor.post_sessions_v1(s) for i in range(100): m = gen.new_metric(c, s) monitor.post_metrics_v1(m) resp = monitor.client.get('/api/v1/metrics/?page=-1') assert resp.status_code == HTTPStatus.OK assert 'next_url' not in resp.json assert 'prev_url' in resp.json resp = monitor.client.get('/api/v1/metrics/', json=dict(page=-1)) assert resp.status_code == HTTPStatus.OK assert 'next_url' not in resp.json assert 'prev_url' in resp.json def test_pager_page_info(monitor, gen): c = gen.new_context() monitor.post_contexts_v1(c) s1, s2, s3 = gen.new_session(), gen.new_session(), gen.new_session() for s in (s1, s2, s3): monitor.post_sessions_v1(s) for i in range(100): m = gen.new_metric(c, s) monitor.post_metrics_v1(m) resp = monitor.client.get('/api/v1/metrics/?page=-1') assert resp.status_code == HTTPStatus.OK assert 'next_url' not in resp.json assert 'prev_url' in resp.json resp = monitor.client.get('/api/v1/metrics/?page=-2') assert resp.status_code == HTTPStatus.OK assert 'next_url' in resp.json assert 'prev_url' in resp.json resp = monitor.client.get('/api/v1/metrics/') assert resp.status_code == HTTPStatus.OK assert 'next_url' in resp.json assert 'prev_url' not in resp.json def test_docs_are_valid(): assert dict(error="Unable to render schema") != SERVER.API_V1.__schema__

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 10937, 29928, 29990, 29899, 2283, 11882, 1266, 1626, 29901, 29871, 29906, 29900, 29906, 29896, 529, 5813, 29958, 3532, 26862, 6227, 6778, 13, 29937, 13, 29937, 10937, 29928, 29990, 29899, 29931, 293, 1947, 29899, 12889, 29901, 341, 1806, 13, 13, 3166, 1732, 1053, 7331, 5709, 13, 3166, 11819, 29918, 2974, 1053, 26996, 5348, 13, 5215, 4390, 13, 13, 13, 1753, 1243, 29918, 2248, 29898, 3712, 2105, 29892, 2531, 1125, 13, 1678, 274, 353, 2531, 29889, 1482, 29918, 4703, 580, 13, 1678, 11819, 29889, 2490, 29918, 4703, 29879, 29918, 29894, 29896, 29898, 29883, 29897, 13, 1678, 269, 29896, 29892, 269, 29906, 29892, 269, 29941, 353, 2531, 29889, 1482, 29918, 7924, 3285, 2531, 29889, 1482, 29918, 7924, 3285, 2531, 29889, 1482, 29918, 7924, 580, 13, 1678, 363, 269, 297, 313, 29879, 29896, 29892, 269, 29906, 29892, 269, 29941, 1125, 13, 4706, 11819, 29889, 2490, 29918, 29879, 10964, 29918, 29894, 29896, 29898, 29879, 29897, 13, 4706, 363, 474, 297, 3464, 29898, 29896, 29900, 29900, 1125, 13, 9651, 286, 353, 2531, 29889, 1482, 29918, 16414, 29898, 29883, 29892, 269, 29897, 13, 9651, 11819, 29889, 2490, 29918, 2527, 10817, 29918, 29894, 29896, 29898, 29885, 29897, 13, 1678, 2380, 353, 11819, 29889, 4645, 29889, 657, 11219, 2248, 29889, 1420, 1495, 13, 1678, 4974, 2380, 29889, 4882, 29918, 401, 1275, 7331, 5709, 29889, 8949, 13, 1678, 396, 624, 6472, 5633, 29892, 322, 3349, 525, 829, 29886, 16299, 472, 278, 1095, 13, 1678, 13128, 353, 2380, 29889, 1272, 29889, 13808, 2141, 5451, 28909, 29876, 1495, 13, 1678, 269, 353, 525, 15300, 7122, 4197, 29875, 29889, 17010, 580, 363, 474, 297, 2380, 29889, 1272, 29889, 13808, 2141, 5451, 28909, 29876, 29861, 29896, 29900, 29900, 29901, 29896, 29896, 29945, 24960, 7503, 29899, 29946, 29962, 13, 1678, 4974, 525, 29958, 29941, 29900, 29900, 26717, 297, 269, 13, 1678, 4974, 525, 29958, 29941, 26717, 297, 269, 13, 1678, 4974, 525, 29958, 29896, 26717, 297, 269, 13, 13, 13, 1753, 1243, 29918, 29886, 1875, 29918, 657, 29918, 4230, 29898, 3712, 2105, 29892, 2531, 1125, 13, 1678, 274, 353, 2531, 29889, 1482, 29918, 4703, 580, 13, 1678, 11819, 29889, 2490, 29918, 4703, 29879, 29918, 29894, 29896, 29898, 29883, 29897, 13, 1678, 269, 29896, 29892, 269, 29906, 29892, 269, 29941, 353, 2531, 29889, 1482, 29918, 7924, 3285, 2531, 29889, 1482, 29918, 7924, 3285, 2531, 29889, 1482, 29918, 7924, 580, 13, 1678, 363, 269, 297, 313, 29879, 29896, 29892, 269, 29906, 29892, 269, 29941, 1125, 13, 4706, 11819, 29889, 2490, 29918, 29879, 10964, 29918, 29894, 29896, 29898, 29879, 29897, 13, 4706, 363, 474, 297, 3464, 29898, 29896, 29900, 29900, 1125, 13, 9651, 286, 353, 2531, 29889, 1482, 29918, 16414, 29898, 29883, 29892, 269, 29897, 13, 9651, 11819, 29889, 2490, 29918, 2527, 10817, 29918, 29894, 29896, 29898, 29885, 29897, 13, 1678, 4613, 353, 11819, 29889, 4645, 29889, 657, 11219, 2754, 29914, 29894, 29896, 29914, 2527, 10817, 13401, 3488, 10457, 29896, 1495, 13, 1678, 4974, 4613, 29889, 4882, 29918, 401, 1275, 7331, 5709, 29889, 8949, 13, 1678, 4974, 525, 4622, 29918, 2271, 29915, 451, 297, 4613, 29889, 3126, 13, 1678, 4974, 525, 16304, 29918, 2271, 29915, 297, 4613, 29889, 3126, 13, 1678, 4613, 353, 11819, 29889, 4645, 29889, 657, 11219, 2754, 29914, 29894, 29896, 29914, 2527, 10817, 29914, 742, 4390, 29922, 8977, 29898, 3488, 10457, 29896, 876, 13, 1678, 4974, 4613, 29889, 4882, 29918, 401, 1275, 7331, 5709, 29889, 8949, 13, 1678, 4974, 525, 4622, 29918, 2271, 29915, 451, 297, 4613, 29889, 3126, 13, 1678, 4974, 525, 16304, 29918, 2271, 29915, 297, 4613, 29889, 3126, 13, 13, 13, 1753, 1243, 29918, 29886, 1875, 29918, 3488, 29918, 3888, 29898, 3712, 2105, 29892, 2531, 1125, 13, 1678, 274, 353, 2531, 29889, 1482, 29918, 4703, 580, 13, 1678, 11819, 29889, 2490, 29918, 4703, 29879, 29918, 29894, 29896, 29898, 29883, 29897, 13, 1678, 269, 29896, 29892, 269, 29906, 29892, 269, 29941, 353, 2531, 29889, 1482, 29918, 7924, 3285, 2531, 29889, 1482, 29918, 7924, 3285, 2531, 29889, 1482, 29918, 7924, 580, 13, 1678, 363, 269, 297, 313, 29879, 29896, 29892, 269, 29906, 29892, 269, 29941, 1125, 13, 4706, 11819, 29889, 2490, 29918, 29879, 10964, 29918, 29894, 29896, 29898, 29879, 29897, 13, 4706, 363, 474, 297, 3464, 29898, 29896, 29900, 29900, 1125, 13, 9651, 286, 353, 2531, 29889, 1482, 29918, 16414, 29898, 29883, 29892, 269, 29897, 13, 9651, 11819, 29889, 2490, 29918, 2527, 10817, 29918, 29894, 29896, 29898, 29885, 29897, 13, 1678, 4613, 353, 11819, 29889, 4645, 29889, 657, 11219, 2754, 29914, 29894, 29896, 29914, 2527, 10817, 13401, 3488, 10457, 29896, 1495, 13, 1678, 4974, 4613, 29889, 4882, 29918, 401, 1275, 7331, 5709, 29889, 8949, 13, 1678, 4974, 525, 4622, 29918, 2271, 29915, 451, 297, 4613, 29889, 3126, 13, 1678, 4974, 525, 16304, 29918, 2271, 29915, 297, 4613, 29889, 3126, 13, 1678, 4613, 353, 11819, 29889, 4645, 29889, 657, 11219, 2754, 29914, 29894, 29896, 29914, 2527, 10817, 13401, 3488, 10457, 29906, 1495, 13, 1678, 4974, 4613, 29889, 4882, 29918, 401, 1275, 7331, 5709, 29889, 8949, 13, 1678, 4974, 525, 4622, 29918, 2271, 29915, 297, 4613, 29889, 3126, 13, 1678, 4974, 525, 16304, 29918, 2271, 29915, 297, 4613, 29889, 3126, 13, 1678, 4613, 353, 11819, 29889, 4645, 29889, 657, 11219, 2754, 29914, 29894, 29896, 29914, 2527, 10817, 29914, 1495, 13, 1678, 4974, 4613, 29889, 4882, 29918, 401, 1275, 7331, 5709, 29889, 8949, 13, 1678, 4974, 525, 4622, 29918, 2271, 29915, 297, 4613, 29889, 3126, 13, 1678, 4974, 525, 16304, 29918, 2271, 29915, 451, 297, 4613, 29889, 3126, 13, 13, 13, 1753, 1243, 29918, 2640, 29918, 598, 29918, 3084, 7295, 13, 1678, 4974, 9657, 29898, 2704, 543, 2525, 519, 304, 4050, 10938, 1159, 2804, 26996, 5348, 29889, 8787, 29918, 29963, 29896, 17255, 11010, 1649, 13, 2 ]

config.py

alcaras/mplus.subcreation.net

31

105563

# raider.io api configuration RIO_MAX_PAGE = 5 # need to update in templates/stats_table.html # need to update in templates/compositions.html # need to update in templates/navbar.html RIO_SEASON = "season-sl-2" WCL_SEASON = 2 WCL_PARTITION = 1 # config RAID_NAME = "Sanctum of Domination" # late in the season, set this at 16 # early in the seaseon, set this at 10 MIN_KEY_LEVEL = 16 # to generate a tier list based on heroic week data MAX_RAID_DIFFICULTY = "Mythic"

[ 1, 29871, 13, 13, 29937, 1153, 1241, 29889, 601, 7882, 5285, 13, 3960, 29949, 29918, 12648, 29918, 7228, 1692, 353, 29871, 29945, 13, 13, 29937, 817, 304, 2767, 297, 17475, 29914, 16202, 29918, 2371, 29889, 1420, 13, 29937, 817, 304, 2767, 297, 17475, 29914, 22410, 2187, 29889, 1420, 13, 29937, 817, 304, 2767, 297, 17475, 29914, 21890, 29889, 1420, 13, 3960, 29949, 29918, 1660, 29909, 3094, 353, 376, 25682, 29899, 2536, 29899, 29906, 29908, 29871, 13, 13, 29956, 6154, 29918, 1660, 29909, 3094, 353, 29871, 29906, 13, 29956, 6154, 29918, 26092, 22122, 353, 29871, 29896, 13, 13, 29937, 2295, 13, 4717, 1367, 29918, 5813, 353, 376, 22509, 312, 398, 310, 7809, 3381, 29908, 13, 13, 29937, 5683, 297, 278, 4259, 29892, 731, 445, 472, 29871, 29896, 29953, 13, 29937, 4688, 297, 278, 409, 559, 265, 29892, 731, 445, 472, 29871, 29896, 29900, 13, 16173, 29918, 10818, 29918, 1307, 29963, 6670, 353, 29871, 29896, 29953, 13, 13, 13, 29937, 304, 5706, 263, 26485, 1051, 2729, 373, 13444, 293, 4723, 848, 13, 12648, 29918, 4717, 1367, 29918, 4571, 4198, 2965, 8647, 29979, 353, 376, 29924, 1541, 293, 29908, 13, 2 ]

Image Segmtation on COCO Dataset/keras_segmentation/data_utils/data_loader.py

joykour/COCO-Dataset-2018-Stuff-Segmentation-Challenge

1

37322

import numpy as np import cv2 import glob import itertools import os from tqdm import tqdm from ..models.config import IMAGE_ORDERING from .augmentation import augment_seg import random random.seed(0) class_colors = [ ( random.randint(0,255),random.randint(0,255),random.randint(0,255) ) for _ in range(5000) ] def get_pairs_from_paths( images_path , segs_path ): images = glob.glob( os.path.join(images_path,"*.png") ) + glob.glob( os.path.join(images_path,"*.jpg") ) + glob.glob( os.path.join(images_path,"*.jpeg") ) segmentations = glob.glob( os.path.join(segs_path,"*.png") ) segmentations_d = dict( zip(segmentations,segmentations )) ret = [] for im in images: seg_bnme = os.path.basename(im).replace(".jpg" , ".png").replace(".jpeg" , ".png") seg = os.path.join( segs_path , seg_bnme ) #this line i have commented as error was showing #assert ( seg in segmentations_d ), (im + " is present in "+images_path +" but "+seg_bnme+" is not found in "+segs_path + " . Make sure annotation image are in .png" ) ret.append((im , seg) ) return ret def get_image_arr( path , width , height , imgNorm="sub_mean" , odering='channels_first' ): if type( path ) is np.ndarray: img = path else: img = cv2.imread(path, 1) if imgNorm == "sub_and_divide": img = np.float32(cv2.resize(img, ( width , height ))) / 127.5 - 1 elif imgNorm == "sub_mean": img = cv2.resize(img, ( width , height )) img = img.astype(np.float32) img[:,:,0] -= 103.939 img[:,:,1] -= 116.779 img[:,:,2] -= 123.68 img = img[ : , : , ::-1 ] elif imgNorm == "divide": img = cv2.resize(img, ( width , height )) img = img.astype(np.float32) img = img/255.0 if odering == 'channels_first': img = np.rollaxis(img, 2, 0) return img def get_segmentation_arr( path , nClasses , width , height , no_reshape=False ): seg_labels = np.zeros(( height , width , nClasses )) if type( path ) is np.ndarray: img = path else: img = cv2.imread(path, 1) img = cv2.resize(img, ( width , height ) , interpolation=cv2.INTER_NEAREST ) img = img[:, : , 0] for c in range(nClasses): seg_labels[: , : , c ] = (img == c ).astype(int) if no_reshape: return seg_labels seg_labels = np.reshape(seg_labels, ( width*height , nClasses )) return seg_labels def verify_segmentation_dataset( images_path , segs_path , n_classes ): img_seg_pairs = get_pairs_from_paths( images_path , segs_path ) assert len(img_seg_pairs)>0 , "Dataset looks empty or path is wrong " for im_fn , seg_fn in tqdm(img_seg_pairs) : img = cv2.imread( im_fn ) seg = cv2.imread( seg_fn ) assert ( img.shape[0]==seg.shape[0] and img.shape[1]==seg.shape[1] ) , "The size of image and the annotation does not match or they are corrupt "+ im_fn + " " + seg_fn assert ( np.max(seg[:,:,0]) < n_classes) , "The pixel values of seg image should be from 0 to "+str(n_classes-1) + " . Found pixel value "+str(np.max(seg[:,:,0])) print("Dataset verified! ") def image_segmentation_generator( images_path , segs_path , batch_size, n_classes , input_height , input_width , output_height , output_width , do_augment=False ): img_seg_pairs = get_pairs_from_paths( images_path , segs_path ) random.shuffle( img_seg_pairs ) zipped = itertools.cycle( img_seg_pairs ) while True: X = [] Y = [] for _ in range( batch_size) : im , seg = next(zipped) im = cv2.imread(im , 1 ) seg = cv2.imread(seg , 1 ) if do_augment: img , seg[:,:,0] = augment_seg( img , seg[:,:,0] ) X.append( get_image_arr(im , input_width , input_height ,odering=IMAGE_ORDERING ) ) Y.append( get_segmentation_arr( seg , n_classes , output_width , output_height ) ) yield np.array(X) , np.array(Y)

[ 1, 29871, 13, 5215, 12655, 408, 7442, 13, 5215, 13850, 29906, 13, 5215, 13149, 13, 5215, 4256, 8504, 13, 5215, 2897, 13, 3166, 260, 29939, 18933, 1053, 260, 29939, 18933, 13, 13, 3166, 6317, 9794, 29889, 2917, 1053, 306, 1529, 1692, 29918, 22364, 4214, 13, 3166, 869, 2987, 358, 362, 1053, 18765, 29918, 10199, 13, 5215, 4036, 13, 13, 8172, 29889, 26776, 29898, 29900, 29897, 13, 1990, 29918, 27703, 353, 518, 29871, 313, 4036, 29889, 9502, 524, 29898, 29900, 29892, 29906, 29945, 29945, 511, 8172, 29889, 9502, 524, 29898, 29900, 29892, 29906, 29945, 29945, 511, 8172, 29889, 9502, 524, 29898, 29900, 29892, 29906, 29945, 29945, 29897, 259, 1723, 363, 903, 297, 3464, 29898, 29945, 29900, 29900, 29900, 29897, 29871, 4514, 13, 13, 13, 13, 13, 1753, 679, 29918, 29886, 7121, 29918, 3166, 29918, 24772, 29898, 4558, 29918, 2084, 1919, 2377, 29879, 29918, 2084, 29871, 1125, 13, 12, 8346, 353, 13149, 29889, 23705, 29898, 2897, 29889, 2084, 29889, 7122, 29898, 8346, 29918, 2084, 1699, 10521, 2732, 1159, 29871, 1723, 718, 13149, 29889, 23705, 29898, 2897, 29889, 2084, 29889, 7122, 29898, 8346, 29918, 2084, 1699, 10521, 6173, 1159, 29871, 1723, 718, 29871, 13149, 29889, 23705, 29898, 2897, 29889, 2084, 29889, 7122, 29898, 8346, 29918, 2084, 1699, 10521, 26568, 1159, 29871, 1723, 13, 12, 28192, 800, 29871, 353, 29871, 13149, 29889, 23705, 29898, 2897, 29889, 2084, 29889, 7122, 29898, 344, 3174, 29918, 2084, 1699, 10521, 2732, 1159, 29871, 1723, 1678, 13, 12, 13, 13, 12, 28192, 800, 29918, 29881, 353, 9657, 29898, 14319, 29898, 28192, 800, 29892, 28192, 800, 29871, 876, 13, 13, 12, 2267, 353, 5159, 13, 13, 12, 1454, 527, 297, 4558, 29901, 13, 12, 12, 10199, 29918, 11197, 1004, 353, 2897, 29889, 2084, 29889, 6500, 3871, 29898, 326, 467, 6506, 17350, 6173, 29908, 1919, 11393, 2732, 2564, 6506, 17350, 26568, 29908, 1919, 11393, 2732, 1159, 13, 12, 12, 10199, 353, 2897, 29889, 2084, 29889, 7122, 29898, 2377, 29879, 29918, 2084, 1919, 2377, 29918, 11197, 1004, 29871, 1723, 13, 18884, 396, 1366, 1196, 474, 505, 19952, 408, 1059, 471, 6445, 13, 12, 12, 29937, 9294, 313, 2377, 297, 10768, 800, 29918, 29881, 10353, 29871, 313, 326, 718, 376, 338, 2198, 297, 15691, 8346, 29918, 2084, 718, 29908, 541, 15691, 10199, 29918, 11197, 1004, 13578, 338, 451, 1476, 297, 15691, 344, 3174, 29918, 2084, 718, 376, 869, 8561, 1854, 17195, 1967, 526, 297, 869, 2732, 29908, 29871, 1723, 13, 12, 12, 2267, 29889, 4397, 3552, 326, 1919, 2377, 29897, 1723, 13, 13, 12, 2457, 3240, 13, 13, 13, 13, 13, 1753, 679, 29918, 3027, 29918, 2749, 29898, 2224, 1919, 2920, 1919, 3171, 1919, 10153, 29940, 555, 543, 1491, 29918, 12676, 29908, 1919, 4461, 292, 2433, 305, 12629, 29918, 4102, 29915, 29871, 1125, 13, 13, 13, 12, 361, 1134, 29898, 2224, 1723, 338, 7442, 29889, 299, 2378, 29901, 13, 12, 12, 2492, 353, 2224, 13, 12, 2870, 29901, 13, 12, 12, 2492, 353, 13850, 29906, 29889, 326, 949, 29898, 2084, 29892, 29871, 29896, 29897, 13, 13, 12, 361, 10153, 29940, 555, 1275, 376, 1491, 29918, 392, 29918, 4563, 680, 1115, 13, 12, 12, 2492, 353, 7442, 29889, 7411, 29941, 29906, 29898, 11023, 29906, 29889, 21476, 29898, 2492, 29892, 313, 2920, 1919, 3171, 29871, 4961, 847, 29871, 29896, 29906, 29955, 29889, 29945, 448, 29871, 29896, 13, 12, 23681, 10153, 29940, 555, 1275, 376, 1491, 29918, 12676, 1115, 13, 12, 12, 2492, 353, 13850, 29906, 29889, 21476, 29898, 2492, 29892, 313, 2920, 1919, 3171, 29871, 876, 13, 12, 12, 2492, 353, 10153, 29889, 579, 668, 29898, 9302, 29889, 7411, 29941, 29906, 29897, 13, 12, 12, 2492, 7503, 29892, 29901, 29892, 29900, 29962, 22361, 29871, 29896, 29900, 29941, 29889, 29929, 29941, 29929, 13, 12, 12, 2492, 7503, 29892, 29901, 29892, 29896, 29962, 22361, 29871, 29896, 29896, 29953, 29889, 29955, 29955, 29929, 13, 12, 12, 2492, 7503, 29892, 29901, 29892, 29906, 29962, 22361, 29871, 29896, 29906, 29941, 29889, 29953, 29947, 13, 12, 12, 2492, 353, 10153, 29961, 584, 1919, 584, 1919, 4761, 29899, 29896, 4514, 13, 12, 23681, 10153, 29940, 555, 1275, 376, 4563, 680, 1115, 13, 12, 12, 2492, 353, 13850, 29906, 29889, 21476, 29898, 2492, 29892, 313, 2920, 1919, 3171, 29871, 876, 13, 12, 12, 2492, 353, 10153, 29889, 579, 668, 29898, 9302, 29889, 7411, 29941, 29906, 29897, 13, 12, 12, 2492, 353, 10153, 29914, 29906, 29945, 29945, 29889, 29900, 13, 13, 12, 361, 4461, 292, 1275, 525, 305, 12629, 29918, 4102, 2396, 13, 12, 12, 2492, 353, 7442, 29889, 1467, 433, 11497, 29898, 2492, 29892, 29871, 29906, 29892, 29871, 29900, 29897, 13, 12, 2457, 10153, 13, 13, 13, 13, 13, 13, 13, 1753, 679, 29918, 28192, 362, 29918, 2749, 29898, 2224, 1919, 302, 27403, 1919, 29871, 2920, 1919, 3171, 1919, 694, 29918, 690, 14443, 29922, 8824, 29871, 1125, 13, 13, 12, 10199, 29918, 21134, 353, 7442, 29889, 3298, 359, 3552, 29871, 3171, 1919, 2920, 29871, 1919, 302, 27403, 29871, 876, 13, 12, 12, 13, 12, 361, 1134, 29898, 2224, 1723, 338, 7442, 29889, 299, 2378, 29901, 13, 12, 12, 2492, 353, 2224, 13, 12, 2870, 29901, 13, 12, 12, 2492, 353, 13850, 29906, 29889, 326, 949, 29898, 2084, 29892, 29871, 29896, 29897, 13, 13, 12, 2492, 353, 13850, 29906, 29889, 21476, 29898, 2492, 29892, 313, 2920, 1919, 3171, 1723, 1919, 29694, 29922, 11023, 29906, 29889, 23845, 29918, 8186, 29909, 1525, 1254, 1723, 13, 12, 2492, 353, 10153, 7503, 29892, 584, 1919, 29871, 29900, 29962, 13, 13, 12, 1454, 274, 297, 3464, 29898, 29876, 27403, 1125, 13, 12, 12, 10199, 29918, 21134, 7503, 1919, 584, 1919, 274, 4514, 353, 313, 2492, 1275, 274, 13742, 579, 668, 29898, 524, 29897, 13, 13, 13, 12, 13, 12, 361, 694, 29918, 690, 14443, 29901, 13, 12, 12, 2457, 2377, 29918, 21134, 13, 13, 12, 10199, 29918, 21134, 353, 7442, 29889, 690, 14443, 29898, 10199, 29918, 21134, 29892, 313, 2920, 29930, 3545, 1919, 302, 27403, 29871, 876, 13, 12, 2457, 2377, 29918, 21134, 13, 13, 29871, 13, 13, 13, 1753, 11539, 29918, 28192, 362, 29918, 24713, 29898, 4558, 29918, 2084, 1919, 2377, 29879, 29918, 2084, 1919, 302, 29918, 13203, 29871, 1125, 13, 12, 13, 12, 2492, 29918, 10199, 29918, 29886, 7121, 353, 679, 29918, 29886, 7121, 29918, 3166, 29918, 24772, 29898, 4558, 29918, 2084, 1919, 2377, 29879, 29918, 2084, 1723, 13, 13, 12, 9294, 7431, 29898, 2492, 29918, 10199, 29918, 29886, 7121, 15410, 29900, 1919, 376, 16390, 24541, 3430, 4069, 470, 2224, 338, 2743, 376, 13, 12, 13, 12, 1454, 527, 29918, 9144, 1919, 2377, 29918, 9144, 297, 260, 29939, 18933, 29898, 2492, 29918, 10199, 29918, 29886, 7121, 29897, 584, 13, 12, 12, 2492, 353, 13850, 29906, 29889, 326, 949, 29898, 527, 29918, 9144, 1723, 13, 12, 12, 10199, 353, 13850, 29906, 29889, 326, 949, 29898, 2377, 29918, 9144, 1723, 13, 13, 12, 12, 9294, 313, 10153, 29889, 12181, 29961, 29900, 29962, 1360, 10199, 29889, 12181, 29961, 29900, 29962, 322, 10153, 29889, 12181, 29961, 29896, 29962, 1360, 10199, 29889, 12181, 29961, 29896, 29962, 1723, 1919, 376, 1576, 2159, 310, 1967, 322, 278, 17195, 947, 451, 1993, 470, 896, 526, 1034, 6685, 15691, 527, 29918, 9144, 718, 376, 376, 718, 2377, 29918, 9144, 13, 12, 12, 9294, 313, 7442, 29889, 3317, 29898, 10199, 7503, 29892, 29901, 29892, 29900, 2314, 529, 302, 29918, 13203, 29897, 1919, 376, 1576, 15526, 1819, 310, 2377, 1967, 881, 367, 515, 29871, 29900, 304, 15691, 710, 29898, 29876, 29918, 13203, 29899, 29896, 29897, 718, 376, 869, 7460, 15526, 995, 15691, 710, 29898, 9302, 29889, 3317, 29898, 10199, 7503, 29892, 29901, 29892, 29900, 12622, 13, 13, 12, 2158, 703, 16390, 24541, 26834, 29991, 16521, 13, 13, 13, 1753, 1967, 29918, 28192, 362, 29918, 27959, 29898, 4558, 29918, 2084, 1919, 2377, 29879, 29918, 2084, 1919, 29871, 9853, 29918, 2311, 29892, 29871, 302, 29918, 13203, 1919, 1881, 29918, 3545, 1919, 1881, 29918, 2103, 1919, 1962, 29918, 3545, 1919, 1962, 29918, 2103, 29871, 1919, 437, 29918, 2987, 358, 29922, 8824, 29871, 1125, 13, 12, 13, 13, 12, 2492, 29918, 10199, 29918, 29886, 7121, 353, 679, 29918, 29886, 7121, 29918, 3166, 29918, 24772, 29898, 4558, 29918, 2084, 1919, 2377, 29879, 29918, 2084, 1723, 13, 12, 8172, 29889, 845, 21897, 29898, 10153, 29918, 10199, 29918, 29886, 7121, 1723, 13, 12, 2526, 2986, 353, 4256, 8504, 29889, 23090, 29898, 10153, 29918, 10199, 29918, 29886, 7121, 29871, 1723, 13, 13, 12, 8000, 5852, 29901, 13, 12, 12, 29990, 353, 5159, 13, 12, 12, 29979, 353, 5159, 13, 12, 12, 1454, 903, 297, 3464, 29898, 9853, 29918, 2311, 29897, 584, 13, 12, 12, 12, 326, 1919, 2377, 353, 2446, 29898, 2526, 2986, 29897, 29871, 13, 13, 12, 12, 12, 326, 353, 13850, 29906, 29889, 326, 949, 29898, 326, 1919, 29871, 29896, 1723, 13, 12, 12, 12, 10199, 353, 13850, 29906, 29889, 326, 949, 29898, 10199, 1919, 29871, 29896, 1723, 13, 13, 12, 12, 12, 361, 437, 29918, 2987, 358, 29901, 13, 12, 12, 12, 12, 2492, 1919, 2377, 7503, 29892, 29901, 29892, 29900, 29962, 353, 18765, 29918, 10199, 29898, 10153, 1919, 2377, 7503, 29892, 29901, 29892, 29900, 29962, 1723, 13, 13, 12, 12, 12, 29990, 29889, 4397, 29898, 679, 29918, 3027, 29918, 2749, 29898, 326, 1919, 1881, 29918, 2103, 1919, 1881, 29918, 3545, 1919, 397, 3241, 29922, 2382, 29918, 22364, 4214, 1723, 29871, 1723, 13, 12, 12, 12, 29979, 29889, 4397, 29898, 679, 29918, 28192, 362, 29918, 2749, 29898, 2377, 1919, 302, 29918, 13203, 1919, 1962, 29918, 2103, 1919, 1962, 29918, 3545, 1723, 29871, 1723, 13, 13, 12, 12, 29891, 969, 7442, 29889, 2378, 29898, 29990, 29897, 1919, 7442, 29889, 2378, 29898, 29979, 29897, 13, 13, 2 ]

Array_ReverseInteger.py

clintbugsdev/binary-tree

0

137515

<filename>Array_ReverseInteger.py def reverse_integer(n): reversed = 0 remainder = 0 while n > 0: remainder = n % 10 reversed = reversed * 10 + remainder n = n // 10 return reversed if __name__ == "__main__": print(reverse_integer(12345))

[ 1, 529, 9507, 29958, 2588, 29918, 1123, 3901, 7798, 29889, 2272, 13, 1753, 11837, 29918, 16031, 29898, 29876, 1125, 13, 1678, 18764, 287, 353, 29871, 29900, 13, 1678, 21162, 353, 29871, 29900, 13, 13, 1678, 1550, 302, 1405, 29871, 29900, 29901, 13, 4706, 21162, 353, 302, 1273, 29871, 29896, 29900, 13, 4706, 18764, 287, 353, 18764, 287, 334, 29871, 29896, 29900, 718, 21162, 13, 4706, 302, 353, 302, 849, 29871, 29896, 29900, 13, 13, 1678, 736, 18764, 287, 13, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 1678, 1596, 29898, 24244, 29918, 16031, 29898, 29896, 29906, 29941, 29946, 29945, 876, 13, 2 ]

schematizer/views/consumer_groups.py

Yelp/schematizer

86

114038

# -*- coding: utf-8 -*- # Copyright 2016 Yelp Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from __future__ import absolute_import from __future__ import unicode_literals from pyramid.view import view_config from schematizer import models from schematizer.api.decorators import log_api from schematizer.api.decorators import transform_api_response from schematizer.api.exceptions import exceptions_v1 as exc_v1 from schematizer.api.requests import requests_v1 from schematizer.api.responses import responses_v1 as resp_v1 from schematizer.logic import registration_repository as reg_repo from schematizer.models import exceptions as sch_exc @view_config( route_name='api.v1.get_consumer_groups', request_method='GET', renderer='json' ) @transform_api_response() def get_consumer_groups(request): return [resp_v1.get_consumer_group_response_from_consumer_group(group) for group in models.ConsumerGroup.get_all()] @view_config( route_name='api.v1.get_consumer_group_by_id', request_method='GET', renderer='json' ) @transform_api_response() def get_consumer_group_by_id(request): consumer_group_id = int(request.matchdict.get('consumer_group_id')) try: group = models.ConsumerGroup.get_by_id(consumer_group_id) return resp_v1.get_consumer_group_response_from_consumer_group(group) except sch_exc.EntityNotFoundError as e: raise exc_v1.entity_not_found_exception(e.message) @view_config( route_name='api.v1.get_data_sources_by_consumer_group_id', request_method='GET', renderer='json' ) @transform_api_response() def get_data_sources_by_consumer_group_id(request): consumer_group_id = int(request.matchdict.get('consumer_group_id')) try: data_sources = reg_repo.get_data_sources_by_consumer_group_id( consumer_group_id ) return [ resp_v1.get_response_from_consumer_group_data_source(src) for src in data_sources ] except sch_exc.EntityNotFoundError as e: raise exc_v1.entity_not_found_exception(e.message) @view_config( route_name='api.v1.create_consumer_group_data_source', request_method='POST', renderer='json' ) @transform_api_response() @log_api() def create_consumer_group_data_source(request): consumer_group_id = int(request.matchdict.get('consumer_group_id')) req = requests_v1.CreateConsumerGroupDataSourceRequest(**request.json_body) try: data_src = reg_repo.register_consumer_group_data_source( consumer_group_id=consumer_group_id, data_source_type=req.data_source_type, data_source_id=req.data_source_id ) return resp_v1.get_response_from_consumer_group_data_source( data_src ) except ValueError as value_ex: raise exc_v1.invalid_request_exception(value_ex.message) except sch_exc.EntityNotFoundError as not_found_ex: raise exc_v1.entity_not_found_exception(not_found_ex.message)

[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29896, 29953, 612, 295, 29886, 9266, 29889, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 259, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 13, 29937, 7047, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 13, 29937, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 13, 29937, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 29871, 2823, 278, 19245, 363, 278, 13, 29937, 2702, 4086, 14765, 1076, 11239, 322, 27028, 13, 29937, 1090, 278, 19245, 29889, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 3166, 11451, 2572, 333, 29889, 1493, 1053, 1776, 29918, 2917, 13, 13, 3166, 1364, 4579, 3950, 1053, 4733, 13, 3166, 1364, 4579, 3950, 29889, 2754, 29889, 19557, 4097, 1053, 1480, 29918, 2754, 13, 3166, 1364, 4579, 3950, 29889, 2754, 29889, 19557, 4097, 1053, 4327, 29918, 2754, 29918, 5327, 13, 3166, 1364, 4579, 3950, 29889, 2754, 29889, 11739, 29879, 1053, 15283, 29918, 29894, 29896, 408, 5566, 29918, 29894, 29896, 13, 3166, 1364, 4579, 3950, 29889, 2754, 29889, 24830, 1053, 7274, 29918, 29894, 29896, 13, 3166, 1364, 4579, 3950, 29889, 2754, 29889, 26679, 267, 1053, 20890, 29918, 29894, 29896, 408, 4613, 29918, 29894, 29896, 13, 3166, 1364, 4579, 3950, 29889, 19227, 1053, 22583, 29918, 19033, 408, 1072, 29918, 20095, 13, 3166, 1364, 4579, 3950, 29889, 9794, 1053, 15283, 408, 1364, 29918, 735, 29883, 13, 13, 13, 29992, 1493, 29918, 2917, 29898, 13, 1678, 5782, 29918, 978, 2433, 2754, 29889, 29894, 29896, 29889, 657, 29918, 25978, 261, 29918, 13155, 742, 13, 1678, 2009, 29918, 5696, 2433, 7194, 742, 13, 1678, 4050, 261, 2433, 3126, 29915, 13, 29897, 13, 29992, 9067, 29918, 2754, 29918, 5327, 580, 13, 1753, 679, 29918, 25978, 261, 29918, 13155, 29898, 3827, 1125, 13, 1678, 736, 518, 13713, 29918, 29894, 29896, 29889, 657, 29918, 25978, 261, 29918, 2972, 29918, 5327, 29918, 3166, 29918, 25978, 261, 29918, 2972, 29898, 2972, 29897, 13, 9651, 363, 2318, 297, 4733, 29889, 13696, 4680, 4782, 29889, 657, 29918, 497, 580, 29962, 13, 13, 13, 29992, 1493, 29918, 2917, 29898, 13, 1678, 5782, 29918, 978, 2433, 2754, 29889, 29894, 29896, 29889, 657, 29918, 25978, 261, 29918, 2972, 29918, 1609, 29918, 333, 742, 13, 1678, 2009, 29918, 5696, 2433, 7194, 742, 13, 1678, 4050, 261, 2433, 3126, 29915, 13, 29897, 13, 29992, 9067, 29918, 2754, 29918, 5327, 580, 13, 1753, 679, 29918, 25978, 261, 29918, 2972, 29918, 1609, 29918, 333, 29898, 3827, 1125, 13, 1678, 21691, 29918, 2972, 29918, 333, 353, 938, 29898, 3827, 29889, 4352, 8977, 29889, 657, 877, 25978, 261, 29918, 2972, 29918, 333, 8785, 13, 1678, 1018, 29901, 13, 4706, 2318, 353, 4733, 29889, 13696, 4680, 4782, 29889, 657, 29918, 1609, 29918, 333, 29898, 25978, 261, 29918, 2972, 29918, 333, 29897, 13, 4706, 736, 4613, 29918, 29894, 29896, 29889, 657, 29918, 25978, 261, 29918, 2972, 29918, 5327, 29918, 3166, 29918, 25978, 261, 29918, 2972, 29898, 2972, 29897, 13, 1678, 5174, 1364, 29918, 735, 29883, 29889, 6691, 17413, 2392, 408, 321, 29901, 13, 4706, 12020, 5566, 29918, 29894, 29896, 29889, 10041, 29918, 1333, 29918, 11940, 29918, 11739, 29898, 29872, 29889, 4906, 29897, 13, 13, 13, 29992, 1493, 29918, 2917, 29898, 13, 1678, 5782, 29918, 978, 2433, 2754, 29889, 29894, 29896, 29889, 657, 29918, 1272, 29918, 29879, 2863, 29918, 1609, 29918, 25978, 261, 29918, 2972, 29918, 333, 742, 13, 1678, 2009, 29918, 5696, 2433, 7194, 742, 13, 1678, 4050, 261, 2433, 3126, 29915, 13, 29897, 13, 29992, 9067, 29918, 2754, 29918, 5327, 580, 13, 1753, 679, 29918, 1272, 29918, 29879, 2863, 29918, 1609, 29918, 25978, 261, 29918, 2972, 29918, 333, 29898, 3827, 1125, 13, 1678, 21691, 29918, 2972, 29918, 333, 353, 938, 29898, 3827, 29889, 4352, 8977, 29889, 657, 877, 25978, 261, 29918, 2972, 29918, 333, 8785, 13, 1678, 1018, 29901, 13, 4706, 848, 29918, 29879, 2863, 353, 1072, 29918, 20095, 29889, 657, 29918, 1272, 29918, 29879, 2863, 29918, 1609, 29918, 25978, 261, 29918, 2972, 29918, 333, 29898, 13, 9651, 21691, 29918, 2972, 29918, 333, 13, 4706, 1723, 13, 4706, 736, 518, 13, 9651, 4613, 29918, 29894, 29896, 29889, 657, 29918, 5327, 29918, 3166, 29918, 25978, 261, 29918, 2972, 29918, 1272, 29918, 4993, 29898, 4351, 29897, 13, 9651, 363, 4765, 297, 848, 29918, 29879, 2863, 13, 4706, 4514, 13, 1678, 5174, 1364, 29918, 735, 29883, 29889, 6691, 17413, 2392, 408, 321, 29901, 13, 4706, 12020, 5566, 29918, 29894, 29896, 29889, 10041, 29918, 1333, 29918, 11940, 29918, 11739, 29898, 29872, 29889, 4906, 29897, 13, 13, 13, 29992, 1493, 29918, 2917, 29898, 13, 1678, 5782, 29918, 978, 2433, 2754, 29889, 29894, 29896, 29889, 3258, 29918, 25978, 261, 29918, 2972, 29918, 1272, 29918, 4993, 742, 13, 1678, 2009, 29918, 5696, 2433, 5438, 742, 13, 1678, 4050, 261, 2433, 3126, 29915, 13, 29897, 13, 29992, 9067, 29918, 2754, 29918, 5327, 580, 13, 29992, 1188, 29918, 2754, 580, 13, 1753, 1653, 29918, 25978, 261, 29918, 2972, 29918, 1272, 29918, 4993, 29898, 3827, 1125, 13, 1678, 21691, 29918, 2972, 29918, 333, 353, 938, 29898, 3827, 29889, 4352, 8977, 29889, 657, 877, 25978, 261, 29918, 2972, 29918, 333, 8785, 13, 1678, 12428, 353, 7274, 29918, 29894, 29896, 29889, 4391, 13696, 4680, 4782, 15559, 3089, 29898, 1068, 3827, 29889, 3126, 29918, 2587, 29897, 13, 1678, 1018, 29901, 13, 4706, 848, 29918, 4351, 353, 1072, 29918, 20095, 29889, 9573, 29918, 25978, 261, 29918, 2972, 29918, 1272, 29918, 4993, 29898, 13, 9651, 21691, 29918, 2972, 29918, 333, 29922, 25978, 261, 29918, 2972, 29918, 333, 29892, 13, 9651, 848, 29918, 4993, 29918, 1853, 29922, 7971, 29889, 1272, 29918, 4993, 29918, 1853, 29892, 13, 9651, 848, 29918, 4993, 29918, 333, 29922, 7971, 29889, 1272, 29918, 4993, 29918, 333, 13, 4706, 1723, 13, 4706, 736, 4613, 29918, 29894, 29896, 29889, 657, 29918, 5327, 29918, 3166, 29918, 25978, 261, 29918, 2972, 29918, 1272, 29918, 4993, 29898, 13, 9651, 848, 29918, 4351, 13, 4706, 1723, 13, 1678, 5174, 7865, 2392, 408, 995, 29918, 735, 29901, 13, 4706, 12020, 5566, 29918, 29894, 29896, 29889, 20965, 29918, 3827, 29918, 11739, 29898, 1767, 29918, 735, 29889, 4906, 29897, 13, 1678, 5174, 1364, 29918, 735, 29883, 29889, 6691, 17413, 2392, 408, 451, 29918, 11940, 29918, 735, 29901, 13, 4706, 12020, 5566, 29918, 29894, 29896, 29889, 10041, 29918, 1333, 29918, 11940, 29918, 11739, 29898, 1333, 29918, 11940, 29918, 735, 29889, 4906, 29897, 13, 2 ]

basenef/tools/api/instance_dict_parser.py

bill52547/NEF

0

79895

<filename>basenef/tools/api/instance_dict_parser.py # encoding: utf-8 ''' @author: <NAME> @contact: <EMAIL> @software: srf_ct @file: instance_dict_parser.py @date: 4/9/2019 @desc: ''' from basenef.typings import BASIC_TYPE_DICT_REVERT, BASIC_TYPE_CONVERTER from basenef.base import NefClass def _convert_single_instance_to_dict(obj: NefClass = None, *, verbose = True): if obj is None: raise ValueError('valid instance are needed.') kwargs = {'classname': obj.__class__.__name__} for key, _type in obj.__class__.__annotations__(): if not verbose and key.startswith('_'): continue if key == 'data': from basenef.tools.file_io import data_saver res_path = data_saver(getattr(obj, key)) kwargs.update({'data': res_path}) # should be file_io here elif _type in BASIC_TYPE_DICT_REVERT: kwargs.update({key: getattr(obj, key)}) else: kwargs.update( {key: _convert_single_instance_to_dict(getattr(obj, key), verbose = verbose)}) return kwargs def convert_instance_to_dict(objs_dct: dict, *, verbose = True): if isinstance(objs_dct, NefClass): objs_dct = {str(0): objs_dct} elif isinstance(objs_dct, list): objs_dct = {str(ind): obj for ind, obj in enumerate(objs_dct)} kwargs = {} for key, obj in objs_dct.items(): kwargs.update({key: _convert_single_instance_to_dict(obj, verbose = verbose)}) return kwargs def convert_dict_to_instance(dct: dict, *, schema: dict): if schema is None: raise ValueError('A valid schema is needed.') if isinstance(schema, str): import json as json_ try: schema = json_.loads(schema) except ValueError('Can not parse schema: ', schema): pass out = {} for key, val in dct.items(): if 'classname' in val: classname = val['classname'] if classname not in schema: raise ValueError(f'can not find valid class assigned for {key} in the first arg') cls = schema[classname] print(1, cls) if isinstance(cls, dict): from .class_schema_parser import convert_schema_to_class cls = convert_schema_to_class(schema)[classname] print(2, convert_schema_to_class(schema)) else: raise ValueError(f"can not find valid classname in dct.['{key}']") kwargs = {} print(cls) for field, type_ in cls.fields(): sub_ = val[field] if field.startswith('_'): continue elif field == 'data': from basenef.tools.file_io import data_loader kwargs.update({field: data_loader(sub_)}) elif isinstance(sub_, dict): kwargs.update( {field: convert_dict_to_instance({field: sub_}, schema = schema)[field]}) else: kwargs.update({field: BASIC_TYPE_CONVERTER[type_.__name__](sub_)}) out.update({key: cls(**kwargs)}) return out

[ 1, 529, 9507, 29958, 6500, 264, 1389, 29914, 8504, 29914, 2754, 29914, 8758, 29918, 8977, 29918, 16680, 29889, 2272, 13, 29937, 8025, 29901, 23616, 29899, 29947, 13, 12008, 13, 29992, 8921, 29901, 529, 5813, 29958, 13, 29992, 12346, 29901, 529, 26862, 6227, 29958, 13, 29992, 20415, 29901, 269, 9600, 29918, 312, 13, 29992, 1445, 29901, 2777, 29918, 8977, 29918, 16680, 29889, 2272, 13, 29992, 1256, 29901, 29871, 29946, 29914, 29929, 29914, 29906, 29900, 29896, 29929, 13, 29992, 14273, 29901, 13, 12008, 13, 3166, 2362, 264, 1389, 29889, 22449, 886, 1053, 350, 3289, 2965, 29918, 11116, 29918, 4571, 1783, 29918, 1525, 5348, 29911, 29892, 350, 3289, 2965, 29918, 11116, 29918, 6007, 5348, 4945, 13, 3166, 2362, 264, 1389, 29889, 3188, 1053, 405, 1389, 2385, 13, 13, 13, 1753, 903, 13441, 29918, 14369, 29918, 8758, 29918, 517, 29918, 8977, 29898, 5415, 29901, 405, 1389, 2385, 353, 6213, 29892, 334, 29892, 26952, 353, 5852, 1125, 13, 1678, 565, 5446, 338, 6213, 29901, 13, 4706, 12020, 7865, 2392, 877, 3084, 2777, 526, 4312, 29889, 1495, 13, 13, 1678, 9049, 5085, 353, 11117, 1990, 978, 2396, 5446, 17255, 1990, 1649, 17255, 978, 1649, 29913, 13, 1678, 363, 1820, 29892, 903, 1853, 297, 5446, 17255, 1990, 1649, 17255, 6735, 800, 1649, 7295, 13, 4706, 565, 451, 26952, 322, 1820, 29889, 27382, 2541, 877, 29918, 29374, 13, 9651, 6773, 13, 4706, 565, 1820, 1275, 525, 1272, 2396, 13, 9651, 515, 2362, 264, 1389, 29889, 8504, 29889, 1445, 29918, 601, 1053, 848, 29918, 4977, 369, 13, 9651, 620, 29918, 2084, 353, 848, 29918, 4977, 369, 29898, 657, 5552, 29898, 5415, 29892, 1820, 876, 13, 9651, 9049, 5085, 29889, 5504, 3319, 29915, 1272, 2396, 620, 29918, 2084, 1800, 29871, 396, 881, 367, 934, 29918, 601, 1244, 13, 4706, 25342, 903, 1853, 297, 350, 3289, 2965, 29918, 11116, 29918, 4571, 1783, 29918, 1525, 5348, 29911, 29901, 13, 9651, 9049, 5085, 29889, 5504, 3319, 1989, 29901, 679, 5552, 29898, 5415, 29892, 1820, 26972, 13, 4706, 1683, 29901, 13, 9651, 9049, 5085, 29889, 5504, 29898, 13, 18884, 426, 1989, 29901, 903, 13441, 29918, 14369, 29918, 8758, 29918, 517, 29918, 8977, 29898, 657, 5552, 29898, 5415, 29892, 1820, 511, 26952, 353, 26952, 26972, 13, 13, 1678, 736, 9049, 5085, 13, 13, 13, 1753, 3588, 29918, 8758, 29918, 517, 29918, 8977, 29898, 711, 1315, 29918, 29881, 312, 29901, 9657, 29892, 334, 29892, 26952, 353, 5852, 1125, 13, 1678, 565, 338, 8758, 29898, 711, 1315, 29918, 29881, 312, 29892, 405, 1389, 2385, 1125, 13, 4706, 704, 1315, 29918, 29881, 312, 353, 426, 710, 29898, 29900, 1125, 704, 1315, 29918, 29881, 312, 29913, 13, 1678, 25342, 338, 8758, 29898, 711, 1315, 29918, 29881, 312, 29892, 1051, 1125, 13, 4706, 704, 1315, 29918, 29881, 312, 353, 426, 710, 29898, 513, 1125, 5446, 363, 1399, 29892, 5446, 297, 26985, 29898, 711, 1315, 29918, 29881, 312, 2915, 13, 13, 1678, 9049, 5085, 353, 6571, 13, 1678, 363, 1820, 29892, 5446, 297, 704, 1315, 29918, 29881, 312, 29889, 7076, 7295, 13, 4706, 9049, 5085, 29889, 5504, 3319, 1989, 29901, 903, 13441, 29918, 14369, 29918, 8758, 29918, 517, 29918, 8977, 29898, 5415, 29892, 26952, 353, 26952, 26972, 13, 1678, 736, 9049, 5085, 13, 13, 13, 1753, 3588, 29918, 8977, 29918, 517, 29918, 8758, 29898, 29881, 312, 29901, 9657, 29892, 334, 29892, 10938, 29901, 9657, 1125, 13, 1678, 565, 10938, 338, 6213, 29901, 13, 4706, 12020, 7865, 2392, 877, 29909, 2854, 10938, 338, 4312, 29889, 1495, 13, 1678, 565, 338, 8758, 29898, 11010, 29892, 851, 1125, 13, 4706, 1053, 4390, 408, 4390, 29918, 13, 4706, 1018, 29901, 13, 9651, 10938, 353, 4390, 5396, 18132, 29898, 11010, 29897, 13, 4706, 5174, 7865, 2392, 877, 6028, 451, 6088, 10938, 29901, 13420, 10938, 1125, 13, 9651, 1209, 13, 1678, 714, 353, 6571, 13, 1678, 363, 1820, 29892, 659, 297, 270, 312, 29889, 7076, 7295, 13, 4706, 565, 525, 1990, 978, 29915, 297, 659, 29901, 13, 9651, 770, 978, 353, 659, 1839, 1990, 978, 2033, 13, 9651, 565, 770, 978, 451, 297, 10938, 29901, 13, 18884, 12020, 7865, 2392, 29898, 29888, 29915, 3068, 451, 1284, 2854, 770, 9859, 363, 426, 1989, 29913, 297, 278, 937, 1852, 1495, 13, 9651, 1067, 29879, 353, 10938, 29961, 1990, 978, 29962, 13, 9651, 1596, 29898, 29896, 29892, 1067, 29879, 29897, 13, 9651, 565, 338, 8758, 29898, 25932, 29892, 9657, 1125, 13, 18884, 515, 869, 1990, 29918, 11010, 29918, 16680, 1053, 3588, 29918, 11010, 29918, 517, 29918, 1990, 13, 18884, 1067, 29879, 353, 3588, 29918, 11010, 29918, 517, 29918, 1990, 29898, 11010, 9601, 1990, 978, 29962, 13, 18884, 1596, 29898, 29906, 29892, 3588, 29918, 11010, 29918, 517, 29918, 1990, 29898, 11010, 876, 13, 4706, 1683, 29901, 13, 9651, 12020, 7865, 2392, 29898, 29888, 29908, 3068, 451, 1284, 2854, 770, 978, 297, 270, 312, 29889, 1839, 29912, 1989, 29913, 2033, 1159, 13, 13, 4706, 9049, 5085, 353, 6571, 13, 4706, 1596, 29898, 25932, 29897, 13, 4706, 363, 1746, 29892, 1134, 29918, 297, 1067, 29879, 29889, 9621, 7295, 13, 9651, 1014, 29918, 353, 659, 29961, 2671, 29962, 13, 9651, 565, 1746, 29889, 27382, 2541, 877, 29918, 29374, 13, 18884, 6773, 13, 9651, 25342, 1746, 1275, 525, 1272, 2396, 13, 18884, 515, 2362, 264, 1389, 29889, 8504, 29889, 1445, 29918, 601, 1053, 848, 29918, 12657, 13, 18884, 9049, 5085, 29889, 5504, 3319, 2671, 29901, 848, 29918, 12657, 29898, 1491, 19925, 1800, 13, 9651, 25342, 338, 8758, 29898, 1491, 3383, 9657, 1125, 13, 18884, 9049, 5085, 29889, 5504, 29898, 13, 462, 1678, 426, 2671, 29901, 3588, 29918, 8977, 29918, 517, 29918, 8758, 3319, 2671, 29901, 1014, 29918, 1118, 10938, 353, 10938, 9601, 2671, 29962, 1800, 13, 9651, 1683, 29901, 13, 18884, 9049, 5085, 29889, 5504, 3319, 2671, 29901, 350, 3289, 2965, 29918, 11116, 29918, 6007, 5348, 4945, 29961, 1853, 5396, 1649, 978, 1649, 850, 1491, 19925, 1800, 13, 4706, 714, 29889, 5504, 3319, 1989, 29901, 1067, 29879, 29898, 1068, 19290, 26972, 13, 1678, 736, 714, 13, 2 ]

src/past/types/oldstr.py

kianmeng/python-future

908

22899

""" Pure-Python implementation of a Python 2-like str object for Python 3. """ from numbers import Integral from past.utils import PY2, with_metaclass if PY2: from collections import Iterable else: from collections.abc import Iterable _builtin_bytes = bytes class BaseOldStr(type): def __instancecheck__(cls, instance): return isinstance(instance, _builtin_bytes) def unescape(s): r""" Interprets strings with escape sequences Example: >>> s = unescape(r'abc\\def') # i.e. 'abc\\\\def' >>> print(s) 'abc\def' >>> s2 = unescape('abc\\ndef') >>> len(s2) 8 >>> print(s2) abc def """ return s.encode().decode('unicode_escape') class oldstr(with_metaclass(BaseOldStr, _builtin_bytes)): """ A forward port of the Python 2 8-bit string object to Py3 """ # Python 2 strings have no __iter__ method: @property def __iter__(self): raise AttributeError def __dir__(self): return [thing for thing in dir(_builtin_bytes) if thing != '__iter__'] # def __new__(cls, *args, **kwargs): # """ # From the Py3 bytes docstring: # bytes(iterable_of_ints) -> bytes # bytes(string, encoding[, errors]) -> bytes # bytes(bytes_or_buffer) -> immutable copy of bytes_or_buffer # bytes(int) -> bytes object of size given by the parameter initialized with null bytes # bytes() -> empty bytes object # # Construct an immutable array of bytes from: # - an iterable yielding integers in range(256) # - a text string encoded using the specified encoding # - any object implementing the buffer API. # - an integer # """ # # if len(args) == 0: # return super(newbytes, cls).__new__(cls) # # Was: elif isinstance(args[0], newbytes): # # We use type() instead of the above because we're redefining # # this to be True for all unicode string subclasses. Warning: # # This may render newstr un-subclassable. # elif type(args[0]) == newbytes: # return args[0] # elif isinstance(args[0], _builtin_bytes): # value = args[0] # elif isinstance(args[0], unicode): # if 'encoding' not in kwargs: # raise TypeError('unicode string argument without an encoding') # ### # # Was: value = args[0].encode(**kwargs) # # Python 2.6 string encode() method doesn't take kwargs: # # Use this instead: # newargs = [kwargs['encoding']] # if 'errors' in kwargs: # newargs.append(kwargs['errors']) # value = args[0].encode(*newargs) # ### # elif isinstance(args[0], Iterable): # if len(args[0]) == 0: # # What is this? # raise ValueError('unknown argument type') # elif len(args[0]) > 0 and isinstance(args[0][0], Integral): # # It's a list of integers # value = b''.join([chr(x) for x in args[0]]) # else: # raise ValueError('item cannot be interpreted as an integer') # elif isinstance(args[0], Integral): # if args[0] < 0: # raise ValueError('negative count') # value = b'\x00' * args[0] # else: # value = args[0] # return super(newbytes, cls).__new__(cls, value) def __repr__(self): s = super(oldstr, self).__repr__() # e.g. b'abc' on Py3, b'abc' on Py3 return s[1:] def __str__(self): s = super(oldstr, self).__str__() # e.g. "b'abc'" or "b'abc\\ndef' # TODO: fix this: assert s[:2] == "b'" and s[-1] == "'" return unescape(s[2:-1]) # e.g. 'abc' or 'abc\ndef' def __getitem__(self, y): if isinstance(y, Integral): return super(oldstr, self).__getitem__(slice(y, y+1)) else: return super(oldstr, self).__getitem__(y) def __getslice__(self, *args): return self.__getitem__(slice(*args)) def __contains__(self, key): if isinstance(key, int): return False def __native__(self): return bytes(self) __all__ = ['oldstr']

[ 1, 9995, 13, 29925, 545, 29899, 11980, 5314, 310, 263, 5132, 29871, 29906, 29899, 4561, 851, 1203, 363, 5132, 29871, 29941, 29889, 13, 15945, 29908, 13, 13, 3166, 3694, 1053, 17100, 284, 13, 13, 3166, 4940, 29889, 13239, 1053, 349, 29979, 29906, 29892, 411, 29918, 2527, 562, 605, 13, 13, 361, 349, 29979, 29906, 29901, 13, 1678, 515, 16250, 1053, 20504, 519, 13, 2870, 29901, 13, 1678, 515, 16250, 29889, 10736, 1053, 20504, 519, 13, 13, 29918, 16145, 262, 29918, 13193, 353, 6262, 13, 13, 13, 1990, 7399, 21648, 5015, 29898, 1853, 1125, 13, 1678, 822, 4770, 8758, 3198, 12035, 25932, 29892, 2777, 1125, 13, 4706, 736, 338, 8758, 29898, 8758, 29892, 903, 16145, 262, 29918, 13193, 29897, 13, 13, 13, 1753, 443, 21587, 29898, 29879, 1125, 13, 1678, 364, 15945, 29908, 13, 1678, 4124, 1457, 1372, 6031, 411, 10169, 15602, 13, 13, 1678, 8741, 29901, 13, 1678, 8653, 269, 353, 443, 21587, 29898, 29878, 29915, 10736, 1966, 1753, 1495, 259, 396, 474, 29889, 29872, 29889, 525, 10736, 1966, 1966, 1753, 29915, 13, 1678, 8653, 1596, 29898, 29879, 29897, 13, 1678, 525, 10736, 29905, 1753, 29915, 13, 1678, 8653, 269, 29906, 353, 443, 21587, 877, 10736, 1966, 299, 1389, 1495, 13, 1678, 8653, 7431, 29898, 29879, 29906, 29897, 13, 268, 29947, 13, 1678, 8653, 1596, 29898, 29879, 29906, 29897, 13, 1678, 25638, 13, 1678, 822, 13, 1678, 9995, 13, 1678, 736, 269, 29889, 12508, 2141, 13808, 877, 2523, 356, 29918, 21587, 1495, 13, 13, 13, 1990, 2030, 710, 29898, 2541, 29918, 2527, 562, 605, 29898, 5160, 21648, 5015, 29892, 903, 16145, 262, 29918, 13193, 22164, 13, 1678, 9995, 13, 1678, 319, 6375, 2011, 310, 278, 5132, 29871, 29906, 29871, 29947, 29899, 2966, 1347, 1203, 304, 10772, 29941, 13, 1678, 9995, 13, 1678, 396, 5132, 29871, 29906, 6031, 505, 694, 4770, 1524, 1649, 1158, 29901, 13, 1678, 732, 6799, 13, 1678, 822, 4770, 1524, 12035, 1311, 1125, 13, 4706, 12020, 23833, 2392, 13, 13, 1678, 822, 4770, 3972, 12035, 1311, 1125, 13, 4706, 736, 518, 1918, 363, 2655, 297, 4516, 7373, 16145, 262, 29918, 13193, 29897, 565, 2655, 2804, 525, 1649, 1524, 1649, 2033, 13, 13, 1678, 396, 822, 4770, 1482, 12035, 25932, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 1678, 396, 268, 9995, 13, 1678, 396, 268, 3645, 278, 10772, 29941, 6262, 1574, 1807, 29901, 13, 13, 1678, 396, 268, 6262, 29898, 1524, 519, 29918, 974, 29918, 9466, 29897, 1599, 6262, 13, 1678, 396, 268, 6262, 29898, 1807, 29892, 8025, 21939, 4436, 2314, 1599, 6262, 13, 1678, 396, 268, 6262, 29898, 13193, 29918, 272, 29918, 9040, 29897, 1599, 5198, 9246, 3509, 310, 6262, 29918, 272, 29918, 9040, 13, 1678, 396, 268, 6262, 29898, 524, 29897, 1599, 6262, 1203, 310, 2159, 2183, 491, 278, 3443, 16601, 411, 1870, 6262, 13, 1678, 396, 268, 6262, 580, 1599, 4069, 6262, 1203, 13, 1678, 396, 13, 1678, 396, 268, 1281, 4984, 385, 5198, 9246, 1409, 310, 6262, 515, 29901, 13, 1678, 396, 539, 448, 385, 4256, 519, 7709, 292, 11920, 297, 3464, 29898, 29906, 29945, 29953, 29897, 13, 1678, 396, 539, 448, 263, 1426, 1347, 18511, 773, 278, 6790, 8025, 13, 1678, 396, 539, 448, 738, 1203, 16049, 278, 6835, 3450, 29889, 13, 1678, 396, 539, 448, 385, 6043, 13, 1678, 396, 268, 9995, 13, 1678, 396, 13, 1678, 396, 268, 565, 7431, 29898, 5085, 29897, 1275, 29871, 29900, 29901, 13, 1678, 396, 308, 736, 2428, 29898, 1482, 13193, 29892, 1067, 29879, 467, 1649, 1482, 12035, 25932, 29897, 13, 1678, 396, 268, 396, 12547, 29901, 25342, 338, 8758, 29898, 5085, 29961, 29900, 1402, 716, 13193, 1125, 13, 1678, 396, 268, 396, 1334, 671, 1134, 580, 2012, 310, 278, 2038, 1363, 591, 29915, 276, 337, 1753, 2827, 13, 1678, 396, 268, 396, 445, 304, 367, 5852, 363, 599, 29104, 1347, 1014, 13203, 29889, 24412, 29901, 13, 1678, 396, 268, 396, 910, 1122, 4050, 716, 710, 443, 29899, 1491, 1990, 519, 29889, 13, 1678, 396, 268, 25342, 1134, 29898, 5085, 29961, 29900, 2314, 1275, 716, 13193, 29901, 13, 1678, 396, 308, 736, 6389, 29961, 29900, 29962, 13, 1678, 396, 268, 25342, 338, 8758, 29898, 5085, 29961, 29900, 1402, 903, 16145, 262, 29918, 13193, 1125, 13, 1678, 396, 308, 995, 353, 6389, 29961, 29900, 29962, 13, 1678, 396, 268, 25342, 338, 8758, 29898, 5085, 29961, 29900, 1402, 29104, 1125, 13, 1678, 396, 308, 565, 525, 22331, 29915, 451, 297, 9049, 5085, 29901, 13, 1678, 396, 632, 12020, 20948, 877, 2523, 356, 1347, 2980, 1728, 385, 8025, 1495, 13, 1678, 396, 308, 835, 13, 1678, 396, 308, 396, 12547, 29901, 259, 995, 353, 6389, 29961, 29900, 1822, 12508, 29898, 1068, 19290, 29897, 13, 1678, 396, 308, 396, 5132, 29871, 29906, 29889, 29953, 1347, 19750, 580, 1158, 1838, 29915, 29873, 2125, 9049, 5085, 29901, 13, 1678, 396, 308, 396, 4803, 445, 2012, 29901, 13, 1678, 396, 308, 716, 5085, 353, 518, 19290, 1839, 22331, 2033, 29962, 13, 1678, 396, 308, 565, 525, 12523, 29915, 297, 9049, 5085, 29901, 13, 1678, 396, 632, 716, 5085, 29889, 4397, 29898, 19290, 1839, 12523, 11287, 13, 1678, 396, 308, 995, 353, 6389, 29961, 29900, 1822, 12508, 10456, 1482, 5085, 29897, 13, 1678, 396, 308, 835, 13, 1678, 396, 268, 25342, 338, 8758, 29898, 5085, 29961, 29900, 1402, 20504, 519, 1125, 13, 1678, 396, 308, 565, 7431, 29898, 5085, 29961, 29900, 2314, 1275, 29871, 29900, 29901, 13, 1678, 396, 632, 396, 1724, 338, 445, 29973, 13, 1678, 396, 632, 12020, 7865, 2392, 877, 26690, 2980, 1134, 1495, 13, 1678, 396, 308, 25342, 7431, 29898, 5085, 29961, 29900, 2314, 1405, 29871, 29900, 322, 338, 8758, 29898, 5085, 29961, 29900, 3816, 29900, 1402, 17100, 284, 1125, 13, 1678, 396, 632, 396, 739, 29915, 29879, 263, 1051, 310, 11920, 13, 1678, 396, 632, 995, 353, 289, 29915, 4286, 7122, 4197, 22495, 29898, 29916, 29897, 363, 921, 297, 6389, 29961, 29900, 24960, 13, 1678, 396, 308, 1683, 29901, 13, 1678, 396, 632, 12020, 7865, 2392, 877, 667, 2609, 367, 21551, 408, 385, 6043, 1495, 13, 1678, 396, 268, 25342, 338, 8758, 29898, 5085, 29961, 29900, 1402, 17100, 284, 1125, 13, 1678, 396, 308, 565, 6389, 29961, 29900, 29962, 529, 29871, 29900, 29901, 13, 1678, 396, 632, 12020, 7865, 2392, 877, 22198, 2302, 1495, 13, 1678, 396, 308, 995, 353, 289, 12764, 29916, 29900, 29900, 29915, 334, 6389, 29961, 29900, 29962, 13, 1678, 396, 268, 1683, 29901, 13, 1678, 396, 308, 995, 353, 6389, 29961, 29900, 29962, 13, 1678, 396, 268, 736, 2428, 29898, 1482, 13193, 29892, 1067, 29879, 467, 1649, 1482, 12035, 25932, 29892, 995, 29897, 13, 13, 1678, 822, 4770, 276, 558, 12035, 1311, 1125, 13, 4706, 269, 353, 2428, 29898, 1025, 710, 29892, 1583, 467, 1649, 276, 558, 1649, 580, 259, 396, 321, 29889, 29887, 29889, 289, 29915, 10736, 29915, 373, 10772, 29941, 29892, 289, 29915, 10736, 29915, 373, 10772, 29941, 13, 4706, 736, 269, 29961, 29896, 17531, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 269, 353, 2428, 29898, 1025, 710, 29892, 1583, 467, 1649, 710, 1649, 580, 259, 396, 321, 29889, 29887, 29889, 376, 29890, 29915, 10736, 11838, 470, 376, 29890, 29915, 10736, 1966, 299, 1389, 29915, 13, 4706, 396, 14402, 29901, 2329, 445, 29901, 13, 4706, 4974, 269, 7503, 29906, 29962, 1275, 376, 29890, 11838, 322, 269, 14352, 29896, 29962, 1275, 376, 11838, 13, 4706, 736, 443, 21587, 29898, 29879, 29961, 29906, 13018, 29896, 2314, 9651, 396, 321, 29889, 29887, 29889, 525, 10736, 29915, 1678, 470, 525, 10736, 29905, 299, 1389, 29915, 13, 13, 1678, 822, 4770, 657, 667, 12035, 1311, 29892, 343, 1125, 13, 4706, 565, 338, 8758, 29898, 29891, 29892, 17100, 284, 1125, 13, 9651, 736, 2428, 29898, 1025, 710, 29892, 1583, 467, 1649, 657, 667, 12035, 18337, 29898, 29891, 29892, 343, 29974, 29896, 876, 13, 4706, 1683, 29901, 13, 9651, 736, 2428, 29898, 1025, 710, 29892, 1583, 467, 1649, 657, 667, 12035, 29891, 29897, 13, 13, 1678, 822, 4770, 657, 18337, 12035, 1311, 29892, 334, 5085, 1125, 13, 4706, 736, 1583, 17255, 657, 667, 12035, 18337, 10456, 5085, 876, 13, 13, 1678, 822, 4770, 11516, 12035, 1311, 29892, 1820, 1125, 13, 4706, 565, 338, 8758, 29898, 1989, 29892, 938, 1125, 13, 9651, 736, 7700, 13, 13, 1678, 822, 4770, 11487, 12035, 1311, 1125, 13, 4706, 736, 6262, 29898, 1311, 29897, 13, 13, 13, 1649, 497, 1649, 353, 6024, 1025, 710, 2033, 13, 2 ]

flopy/mf6/utils/lakpak_utils.py

jtwhite79/flopy

1

134970

<gh_stars>1-10 import numpy as np def get_lak_connections(modelgrid, lake_map, idomain=None, bedleak=0.1): """ Function to create lake package connection data from a zero-based integer array of lake numbers. If the shape of lake number array is equal to (nrow, ncol) or (ncpl) then the lakes are on top of the model and are vertically connected to cells at the top of the model. Otherwise the lakes are embedded in the grid. TODO: implement embedded lakes for VertexGrid TODO: add support for UnstructuredGrid Parameters ---------- modelgrid : StructuredGrid, VertexGrid model grid lake_map : MaskedArray, ndarray, list, tuple location and zero-based lake number for lakes in the model domain. If lake_map is of size (nrow, ncol) or (ncpl) lakes are located on top of the model and vertically connected to cells in model layer 1. If lake_map is of size (nlay, nrow, ncol) or (nlay, ncpl) lakes are embedded in the model domain and horizontal and vertical lake connections are defined. idomain : int or ndarray location of inactive cells, which are defined with a zero value. If a ndarray is passed it must be of size (nlay, nrow, ncol) or (nlay, ncpl). bedleak : ndarray, list, tuple, float bed leakance for lakes in the model domain. If bedleak is a float the same bed leakance is applied to each lake connection in the model. If bedleak is of size (nrow, ncol) or (ncpl) then all lake connections for the cellid are given the same bed leakance value. Returns ------- idomain : ndarry idomain adjusted to inactivate cells with lakes connection_dict : dict dictionary with the zero-based lake number keys and number of connections in a lake values connectiondata : list of lists connectiondata block for the lake package """ if modelgrid.grid_type in ("unstructured",): raise ValueError( "unstructured grids not supported in get_lak_connections()" ) embedded = True shape3d = modelgrid.shape shape2d = shape3d[1:] # convert to numpy array if necessary if isinstance(lake_map, (list, tuple)): lake_map = np.array(lake_map, dtype=np.int32) elif isinstance(lake_map, (int, float)): raise TypeError( "lake_map must be a Masked Array, ndarray, list, or tuple" ) # evaluate lake_map shape shape_map = lake_map.shape if shape_map != shape3d: if shape_map != shape2d: raise ValueError( "lake_map shape ({}) must be equal to the grid shape for " "each layer ({})".format(shape_map, shape2d) ) else: embedded = False # process idomain if idomain is None: idomain = np.ones(shape3d, dtype=np.int32) elif isinstance(idomain, int): idomain = np.ones(shape3d, dtype=np.int32) * idomain elif isinstance(idomain, (float, bool)): raise ValueError("idomain must be a integer") # check dimensions of idomain if idomain.shape != shape3d: raise ValueError( "shape of idomain " "({}) not equal to {}".format(idomain.shape, shape3d) ) # convert bedleak to numpy array if necessary if isinstance(bedleak, (float, int)): bedleak = np.ones(shape2d, dtype=float) * float(bedleak) elif isinstance(bedleak, (list, tuple)): bedleak = np.array(bedleak, dtype=float) # get the model grid elevations and reset lake_map using idomain # if lake is embedded and in an inactive cell if embedded: elevations = modelgrid.top_botm lake_map[idomain < 1] = -1 else: elevations = None # determine if masked array, in not convert to masked array if not np.ma.is_masked(lake_map): lake_map = np.ma.masked_where(lake_map < 0, lake_map) connection_dict = {} connectiondata = [] # find unique lake numbers unique = np.unique(lake_map) # exclude lakes with lake numbers less than 0 idx = np.where(unique > -1) unique = unique[idx] dx, dy = None, None # embedded lakes for lake_number in unique: iconn = 0 indices = np.argwhere(lake_map == lake_number) for index in indices: cell_index = tuple(index.tolist()) if embedded: leak_value = bedleak[cell_index[1:]] if modelgrid.grid_type == "structured": if dx is None: xv, yv = modelgrid.xvertices, modelgrid.yvertices dx = xv[0, 1:] - xv[0, :-1] dy = yv[:-1, 0] - yv[1:, 0] ( cellids, claktypes, belevs, televs, connlens, connwidths, ) = __structured_lake_connections( lake_map, idomain, cell_index, dx, dy, elevations ) elif modelgrid.grid_type == "vertex": raise NotImplementedError( "embedded lakes have not been implemented" ) else: cellid = (0,) + cell_index leak_value = bedleak[cell_index] if idomain[cellid] > 0: cellids = [cellid] claktypes = ["vertical"] belevs = [0.0] televs = [0.0] connlens = [0.0] connwidths = [0.0] else: cellids = [] claktypes = [] belevs = [] televs = [] connlens = [] connwidths = [] # iterate through each cellid for (cellid, claktype, belev, telev, connlen, connwidth) in zip( cellids, claktypes, belevs, televs, connlens, connwidths ): connectiondata.append( [ lake_number, iconn, cellid[:], claktype, leak_value, belev, telev, connlen, connwidth, ] ) iconn += 1 # set number of connections for lake connection_dict[lake_number] = iconn # reset idomain for lake if iconn > 0: idx = np.where((lake_map == lake_number) & (idomain > 0)) idomain[idx] = 0 return idomain, connection_dict, connectiondata def __structured_lake_connections( lake_map, idomain, cell_index, dx, dy, elevations ): nlay, nrow, ncol = lake_map.shape cellids = [] claktypes = [] belevs = [] televs = [] connlens = [] connwidths = [] k, i, j = cell_index if idomain[cell_index] > 0: # back face if i > 0: ci = (k, i - 1, j) cit = (k + 1, i - 1, j) if np.ma.is_masked(lake_map[ci]) and idomain[ci] > 0: cellids.append(ci) claktypes.append("horizontal") belevs.append(elevations[cit]) televs.append(elevations[ci]) connlens.append(0.5 * dy[i - 1]) connwidths.append(dx[j]) # left face if j > 0: ci = (k, i, j - 1) cit = (k + 1, i, j - 1) if np.ma.is_masked(lake_map[ci]) and idomain[ci] > 0: cellids.append(ci) claktypes.append("horizontal") belevs.append(elevations[cit]) televs.append(elevations[ci]) connlens.append(0.5 * dx[j - 1]) connwidths.append(dy[i]) # right face if j < ncol - 1: ci = (k, i, j + 1) cit = (k + 1, i, j + 1) if np.ma.is_masked(lake_map[ci]) and idomain[ci] > 0: cellids.append(ci) claktypes.append("horizontal") belevs.append(elevations[cit]) televs.append(elevations[ci]) connlens.append(0.5 * dx[j + 1]) connwidths.append(dy[i]) # front face if i < nrow - 1: ci = (k, i + 1, j) cit = (k + 1, i + 1, j) if np.ma.is_masked(lake_map[ci]) and idomain[ci] > 0: cellids.append(ci) claktypes.append("horizontal") belevs.append(elevations[cit]) televs.append(elevations[ci]) connlens.append(0.5 * dy[i + 1]) connwidths.append(dx[j]) # lower face if k < nlay - 1: ci = (k + 1, i, j) if np.ma.is_masked(lake_map[ci]) and idomain[ci] > 0: cellids.append(ci) claktypes.append("vertical") belevs.append(0.0) televs.append(0.0) connlens.append(0.0) connwidths.append(0.0) return cellids, claktypes, belevs, televs, connlens, connwidths

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 12655, 408, 7442, 13, 13, 13, 1753, 679, 29918, 18170, 29918, 11958, 1953, 29898, 4299, 7720, 29892, 19437, 29918, 1958, 29892, 1178, 290, 475, 29922, 8516, 29892, 6592, 280, 557, 29922, 29900, 29889, 29896, 1125, 13, 1678, 9995, 13, 1678, 6680, 304, 1653, 19437, 3577, 3957, 848, 515, 263, 5225, 29899, 6707, 13, 1678, 6043, 1409, 310, 19437, 3694, 29889, 960, 278, 8267, 310, 19437, 1353, 1409, 338, 13, 1678, 5186, 304, 313, 29876, 798, 29892, 302, 1054, 29897, 470, 313, 17608, 572, 29897, 769, 278, 425, 10794, 526, 373, 2246, 310, 278, 1904, 13, 1678, 322, 526, 4837, 1711, 6631, 304, 9101, 472, 278, 2246, 310, 278, 1904, 29889, 13466, 13, 1678, 278, 425, 10794, 526, 15685, 297, 278, 6856, 29889, 13, 13, 1678, 14402, 29901, 2334, 15685, 425, 10794, 363, 1798, 4776, 5756, 13, 13, 1678, 14402, 29901, 788, 2304, 363, 853, 4984, 2955, 5756, 13, 13, 1678, 12662, 2699, 13, 1678, 448, 1378, 29899, 13, 1678, 1904, 7720, 584, 28771, 2955, 5756, 29892, 1798, 4776, 5756, 13, 4706, 1904, 6856, 13, 1678, 19437, 29918, 1958, 584, 341, 1278, 287, 2588, 29892, 29871, 299, 2378, 29892, 1051, 29892, 18761, 13, 4706, 4423, 322, 5225, 29899, 6707, 19437, 1353, 363, 425, 10794, 297, 278, 1904, 5354, 29889, 13, 4706, 960, 19437, 29918, 1958, 338, 310, 2159, 313, 29876, 798, 29892, 302, 1054, 29897, 470, 313, 17608, 572, 29897, 425, 10794, 526, 5982, 373, 13, 4706, 2246, 310, 278, 1904, 322, 4837, 1711, 6631, 304, 9101, 297, 1904, 7546, 29871, 29896, 29889, 13, 4706, 960, 19437, 29918, 1958, 338, 310, 2159, 313, 29876, 8387, 29892, 302, 798, 29892, 302, 1054, 29897, 470, 313, 29876, 8387, 29892, 302, 29883, 572, 29897, 425, 10794, 13, 4706, 526, 15685, 297, 278, 1904, 5354, 322, 14698, 322, 11408, 19437, 13, 4706, 12368, 526, 3342, 29889, 13, 1678, 1178, 290, 475, 584, 938, 470, 29871, 299, 2378, 13, 4706, 4423, 310, 297, 4925, 9101, 29892, 607, 526, 3342, 411, 263, 5225, 995, 29889, 960, 263, 13, 308, 299, 2378, 338, 4502, 372, 1818, 367, 310, 2159, 313, 29876, 8387, 29892, 302, 798, 29892, 302, 1054, 29897, 470, 13, 4706, 313, 29876, 8387, 29892, 302, 29883, 572, 467, 13, 1678, 6592, 280, 557, 584, 29871, 299, 2378, 29892, 1051, 29892, 18761, 29892, 5785, 13, 4706, 6592, 24993, 749, 363, 425, 10794, 297, 278, 1904, 5354, 29889, 960, 6592, 280, 557, 338, 263, 5785, 278, 13, 4706, 1021, 6592, 24993, 749, 338, 7436, 304, 1269, 19437, 3957, 297, 278, 1904, 29889, 13, 4706, 960, 6592, 280, 557, 338, 310, 2159, 313, 29876, 798, 29892, 302, 1054, 29897, 470, 313, 17608, 572, 29897, 769, 599, 19437, 13, 4706, 12368, 363, 278, 3038, 333, 526, 2183, 278, 1021, 6592, 24993, 749, 995, 29889, 13, 13, 1678, 16969, 13, 1678, 448, 22158, 13, 1678, 1178, 290, 475, 584, 29871, 299, 279, 719, 13, 4706, 1178, 290, 475, 10365, 287, 304, 297, 11236, 403, 9101, 411, 425, 10794, 13, 1678, 3957, 29918, 8977, 584, 9657, 13, 4706, 8600, 411, 278, 5225, 29899, 6707, 19437, 1353, 6611, 322, 1353, 310, 13, 4706, 12368, 297, 263, 19437, 1819, 13, 1678, 3957, 1272, 584, 1051, 310, 8857, 13, 4706, 3957, 1272, 2908, 363, 278, 19437, 3577, 13, 13, 1678, 9995, 13, 13, 1678, 565, 1904, 7720, 29889, 7720, 29918, 1853, 297, 4852, 348, 4984, 2955, 613, 1125, 13, 4706, 12020, 7865, 2392, 29898, 13, 9651, 376, 348, 4984, 2955, 867, 4841, 451, 6969, 297, 679, 29918, 18170, 29918, 11958, 1953, 25318, 13, 4706, 1723, 13, 13, 1678, 15685, 353, 5852, 13, 1678, 8267, 29941, 29881, 353, 1904, 7720, 29889, 12181, 13, 1678, 8267, 29906, 29881, 353, 8267, 29941, 29881, 29961, 29896, 17531, 13, 13, 1678, 396, 3588, 304, 12655, 1409, 565, 5181, 13, 1678, 565, 338, 8758, 29898, 433, 446, 29918, 1958, 29892, 313, 1761, 29892, 18761, 22164, 13, 4706, 19437, 29918, 1958, 353, 7442, 29889, 2378, 29898, 433, 446, 29918, 1958, 29892, 26688, 29922, 9302, 29889, 524, 29941, 29906, 29897, 13, 1678, 25342, 338, 8758, 29898, 433, 446, 29918, 1958, 29892, 313, 524, 29892, 5785, 22164, 13, 4706, 12020, 20948, 29898, 13, 9651, 376, 433, 446, 29918, 1958, 1818, 367, 263, 341, 1278, 287, 4398, 29892, 29871, 299, 2378, 29892, 1051, 29892, 470, 18761, 29908, 13, 4706, 1723, 13, 13, 1678, 396, 14707, 19437, 29918, 1958, 8267, 13, 1678, 8267, 29918, 1958, 353, 19437, 29918, 1958, 29889, 12181, 13, 1678, 565, 8267, 29918, 1958, 2804, 8267, 29941, 29881, 29901, 13, 4706, 565, 8267, 29918, 1958, 2804, 8267, 29906, 29881, 29901, 13, 9651, 12020, 7865, 2392, 29898, 13, 18884, 376, 433, 446, 29918, 1958, 8267, 21313, 1800, 1818, 367, 5186, 304, 278, 6856, 8267, 363, 376, 13, 18884, 376, 4204, 7546, 21313, 1800, 1642, 4830, 29898, 12181, 29918, 1958, 29892, 8267, 29906, 29881, 29897, 13, 9651, 1723, 13, 4706, 1683, 29901, 13, 9651, 15685, 353, 7700, 13, 13, 1678, 396, 1889, 1178, 290, 475, 13, 1678, 565, 1178, 290, 475, 338, 6213, 29901, 13, 4706, 1178, 290, 475, 353, 7442, 29889, 2873, 29898, 12181, 29941, 29881, 29892, 26688, 29922, 9302, 29889, 524, 29941, 29906, 29897, 13, 1678, 25342, 338, 8758, 29898, 333, 290, 475, 29892, 938, 1125, 13, 4706, 1178, 290, 475, 353, 7442, 29889, 2873, 29898, 12181, 29941, 29881, 29892, 26688, 29922, 9302, 29889, 524, 29941, 29906, 29897, 334, 1178, 290, 475, 13, 1678, 25342, 338, 8758, 29898, 333, 290, 475, 29892, 313, 7411, 29892, 6120, 22164, 13, 4706, 12020, 7865, 2392, 703, 333, 290, 475, 1818, 367, 263, 6043, 1159, 13, 13, 1678, 396, 1423, 13391, 310, 1178, 290, 475, 13, 1678, 565, 1178, 290, 475, 29889, 12181, 2804, 8267, 29941, 29881, 29901, 13, 4706, 12020, 7865, 2392, 29898, 13, 9651, 376, 12181, 310, 1178, 290, 475, 376, 13, 9651, 376, 3319, 1800, 451, 5186, 304, 6571, 1642, 4830, 29898, 333, 290, 475, 29889, 12181, 29892, 8267, 29941, 29881, 29897, 13, 4706, 1723, 13, 13, 1678, 396, 3588, 6592, 280, 557, 304, 12655, 1409, 565, 5181, 13, 1678, 565, 338, 8758, 29898, 2580, 280, 557, 29892, 313, 7411, 29892, 938, 22164, 13, 4706, 6592, 280, 557, 353, 7442, 29889, 2873, 29898, 12181, 29906, 29881, 29892, 26688, 29922, 7411, 29897, 334, 5785, 29898, 2580, 280, 557, 29897, 13, 1678, 25342, 338, 8758, 29898, 2580, 280, 557, 29892, 313, 1761, 29892, 18761, 22164, 13, 4706, 6592, 280, 557, 353, 7442, 29889, 2378, 29898, 2580, 280, 557, 29892, 26688, 29922, 7411, 29897, 13, 13, 1678, 396, 679, 278, 1904, 6856, 11858, 800, 322, 10092, 19437, 29918, 1958, 773, 1178, 290, 475, 13, 1678, 396, 565, 19437, 338, 15685, 322, 297, 385, 297, 4925, 3038, 13, 1678, 565, 15685, 29901, 13, 4706, 11858, 800, 353, 1904, 7720, 29889, 3332, 29918, 7451, 29885, 13, 4706, 19437, 29918, 1958, 29961, 333, 290, 475, 529, 29871, 29896, 29962, 353, 448, 29896, 13, 1678, 1683, 29901, 13, 4706, 11858, 800, 353, 6213, 13, 13, 1678, 396, 8161, 565, 11105, 287, 1409, 29892, 297, 451, 3588, 304, 11105, 287, 1409, 13, 1678, 565, 451, 7442, 29889, 655, 29889, 275, 29918, 13168, 287, 29898, 433, 446, 29918, 1958, 1125, 13, 4706, 19437, 29918, 1958, 353, 7442, 29889, 655, 29889, 13168, 287, 29918, 3062, 29898, 433, 446, 29918, 1958, 529, 29871, 29900, 29892, 19437, 29918, 1958, 29897, 13, 13, 1678, 3957, 29918, 8977, 353, 6571, 13, 1678, 3957, 1272, 353, 5159, 13, 13, 1678, 396, 1284, 5412, 19437, 3694, 13, 1678, 5412, 353, 7442, 29889, 13092, 29898, 433, 446, 29918, 1958, 29897, 13, 13, 1678, 396, 19060, 425, 10794, 411, 19437, 3694, 3109, 1135, 29871, 29900, 13, 1678, 22645, 353, 7442, 29889, 3062, 29898, 13092, 1405, 448, 29896, 29897, 13, 1678, 5412, 353, 5412, 29961, 13140, 29962, 13, 13, 1678, 15414, 29892, 13475, 353, 6213, 29892, 6213, 13, 13, 1678, 396, 15685, 425, 10794, 13, 1678, 363, 19437, 29918, 4537, 297, 5412, 29901, 13, 4706, 16077, 3409, 353, 29871, 29900, 13, 4706, 16285, 353, 7442, 29889, 1191, 3062, 29898, 433, 446, 29918, 1958, 1275, 19437, 29918, 4537, 29897, 13, 4706, 363, 2380, 297, 16285, 29901, 13, 9651, 3038, 29918, 2248, 353, 18761, 29898, 2248, 29889, 25027, 391, 3101, 13, 9651, 565, 15685, 29901, 13, 18884, 24993, 29918, 1767, 353, 6592, 280, 557, 29961, 3729, 29918, 2248, 29961, 29896, 29901, 5262, 13, 18884, 565, 1904, 7720, 29889, 7720, 29918, 1853, 1275, 376, 4984, 2955, 1115, 13, 462, 1678, 565, 15414, 338, 6213, 29901, 13, 462, 4706, 921, 29894, 29892, 343, 29894, 353, 1904, 7720, 29889, 29916, 1765, 1575, 29892, 1904, 7720, 29889, 29891, 1765, 1575, 13, 462, 4706, 15414, 353, 921, 29894, 29961, 29900, 29892, 29871, 29896, 17531, 448, 921, 29894, 29961, 29900, 29892, 8956, 29896, 29962, 13, 462, 4706, 13475, 353, 343, 29894, 7503, 29899, 29896, 29892, 29871, 29900, 29962, 448, 343, 29894, 29961, 29896, 29901, 29892, 29871, 29900, 29962, 13, 462, 1678, 313, 13, 462, 4706, 3038, 4841, 29892, 13, 462, 4706, 3711, 29895, 8768, 29892, 13, 462, 4706, 367, 2608, 29879, 29892, 13, 462, 4706, 734, 2608, 29879, 29892, 13, 462, 4706, 11009, 29880, 575, 29892, 13, 462, 4706, 11009, 2103, 29879, 29892, 13, 462, 1678, 1723, 353, 4770, 4984, 2955, 29918, 433, 446, 29918, 11958, 1953, 29898, 13, 462, 4706, 19437, 29918, 1958, 29892, 1178, 290, 475, 29892, 3038, 29918, 2248, 29892, 15414, 29892, 13475, 29892, 11858, 800, 13, 462, 1678, 1723, 13, 18884, 25342, 1904, 7720, 29889, 7720, 29918, 1853, 1275, 376, 369, 4776, 1115, 13, 462, 1678, 12020, 2216, 1888, 2037, 287, 2392, 29898, 13, 462, 4706, 376, 17987, 7176, 425, 10794, 505, 451, 1063, 8762, 29908, 13, 462, 1678, 1723, 13, 9651, 1683, 29901, 13, 18884, 3038, 333, 353, 313, 29900, 29892, 29897, 718, 3038, 29918, 2248, 13, 18884, 24993, 29918, 1767, 353, 6592, 280, 557, 29961, 3729, 29918, 2248, 29962, 13, 18884, 565, 1178, 290, 475, 29961, 3729, 333, 29962, 1405, 29871, 29900, 29901, 13, 462, 1678, 3038, 4841, 353, 518, 3729, 333, 29962, 13, 462, 1678, 3711, 29895, 8768, 353, 6796, 18575, 3108, 13, 462, 1678, 367, 2608, 29879, 353, 518, 29900, 29889, 29900, 29962, 13, 462, 1678, 734, 2608, 29879, 353, 518, 29900, 29889, 29900, 29962, 13, 462, 1678, 11009, 29880, 575, 353, 518, 29900, 29889, 29900, 29962, 13, 462, 1678, 11009, 2103, 29879, 353, 518, 29900, 29889, 29900, 29962, 13, 18884, 1683, 29901, 13, 462, 1678, 3038, 4841, 353, 5159, 13, 462, 1678, 3711, 29895, 8768, 353, 5159, 13, 462, 1678, 367, 2608, 29879, 353, 5159, 13, 462, 1678, 734, 2608, 29879, 353, 5159, 13, 462, 1678, 11009, 29880, 575, 353, 5159, 13, 462, 1678, 11009, 2103, 29879, 353, 5159, 13, 13, 9651, 396, 13649, 1549, 1269, 3038, 333, 13, 9651, 363, 313, 3729, 333, 29892, 3711, 1193, 668, 29892, 367, 2608, 29892, 734, 2608, 29892, 11009, 2435, 29892, 11009, 2103, 29897, 297, 14319, 29898, 13, 18884, 3038, 4841, 29892, 3711, 29895, 8768, 29892, 367, 2608, 29879, 29892, 734, 2608, 29879, 29892, 11009, 29880, 575, 29892, 11009, 2103, 29879, 13, 632, 1125, 13, 18884, 3957, 1272, 29889, 4397, 29898, 13, 462, 1678, 518, 13, 462, 4706, 19437, 29918, 4537, 29892, 13, 462, 4706, 16077, 3409, 29892, 13, 462, 4706, 3038, 333, 7503, 1402, 13, 462, 4706, 3711, 1193, 668, 29892, 13, 462, 4706, 24993, 29918, 1767, 29892, 13, 462, 4706, 367, 2608, 29892, 13, 462, 4706, 734, 2608, 29892, 13, 462, 4706, 11009, 2435, 29892, 13, 462, 4706, 11009, 2103, 29892, 13, 462, 1678, 4514, 13, 18884, 1723, 13, 18884, 16077, 3409, 4619, 29871, 29896, 13, 13, 4706, 396, 731, 1353, 310, 12368, 363, 19437, 13, 4706, 3957, 29918, 8977, 29961, 433, 446, 29918, 4537, 29962, 353, 16077, 3409, 13, 13, 4706, 396, 10092, 1178, 290, 475, 363, 19437, 13, 4706, 565, 16077, 3409, 1405, 29871, 29900, 29901, 13, 9651, 22645, 353, 7442, 29889, 3062, 3552, 433, 446, 29918, 1958, 1275, 19437, 29918, 4537, 29897, 669, 313, 333, 290, 475, 1405, 29871, 29900, 876, 13, 9651, 1178, 290, 475, 29961, 13140, 29962, 353, 29871, 29900, 13, 13, 1678, 736, 1178, 290, 475, 29892, 3957, 29918, 8977, 29892, 3957, 1272, 13, 13, 13, 1753, 4770, 4984, 2955, 29918, 433, 446, 29918, 11958, 1953, 29898, 13, 1678, 19437, 29918, 1958, 29892, 1178, 290, 475, 29892, 3038, 29918, 2248, 29892, 15414, 29892, 13475, 29892, 11858, 800, 13, 1125, 13, 1678, 302, 8387, 29892, 302, 798, 29892, 302, 1054, 353, 19437, 29918, 1958, 29889, 12181, 13, 1678, 3038, 4841, 353, 5159, 13, 1678, 3711, 29895, 8768, 353, 5159, 13, 1678, 367, 2608, 29879, 353, 5159, 13, 1678, 734, 2608, 29879, 353, 5159, 13, 1678, 11009, 29880, 575, 353, 5159, 13, 1678, 11009, 2103, 29879, 353, 5159, 13, 13, 1678, 413, 29892, 474, 29892, 432, 353, 3038, 29918, 2248, 13, 13, 1678, 565, 1178, 290, 475, 29961, 3729, 29918, 2248, 29962, 1405, 29871, 29900, 29901, 13, 4706, 396, 1250, 3700, 13, 4706, 565, 474, 1405, 29871, 29900, 29901, 13, 9651, 4583, 353, 313, 29895, 29892, 474, 448, 29871, 29896, 29892, 432, 29897, 13, 9651, 7537, 353, 313, 29895, 718, 29871, 29896, 29892, 474, 448, 29871, 29896, 29892, 432, 29897, 13, 9651, 565, 7442, 29889, 655, 29889, 275, 29918, 13168, 287, 29898, 433, 446, 29918, 1958, 29961, 455, 2314, 322, 1178, 290, 475, 29961, 455, 29962, 1405, 29871, 29900, 29901, 13, 18884, 3038, 4841, 29889, 4397, 29898, 455, 29897, 13, 18884, 3711, 29895, 8768, 29889, 4397, 703, 22672, 1159, 13, 18884, 367, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 20752, 2314, 13, 18884, 734, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 455, 2314, 13, 18884, 11009, 29880, 575, 29889, 4397, 29898, 29900, 29889, 29945, 334, 13475, 29961, 29875, 448, 29871, 29896, 2314, 13, 18884, 11009, 2103, 29879, 29889, 4397, 29898, 8235, 29961, 29926, 2314, 13, 13, 4706, 396, 2175, 3700, 13, 4706, 565, 432, 1405, 29871, 29900, 29901, 13, 9651, 4583, 353, 313, 29895, 29892, 474, 29892, 432, 448, 29871, 29896, 29897, 13, 9651, 7537, 353, 313, 29895, 718, 29871, 29896, 29892, 474, 29892, 432, 448, 29871, 29896, 29897, 13, 9651, 565, 7442, 29889, 655, 29889, 275, 29918, 13168, 287, 29898, 433, 446, 29918, 1958, 29961, 455, 2314, 322, 1178, 290, 475, 29961, 455, 29962, 1405, 29871, 29900, 29901, 13, 18884, 3038, 4841, 29889, 4397, 29898, 455, 29897, 13, 18884, 3711, 29895, 8768, 29889, 4397, 703, 22672, 1159, 13, 18884, 367, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 20752, 2314, 13, 18884, 734, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 455, 2314, 13, 18884, 11009, 29880, 575, 29889, 4397, 29898, 29900, 29889, 29945, 334, 15414, 29961, 29926, 448, 29871, 29896, 2314, 13, 18884, 11009, 2103, 29879, 29889, 4397, 29898, 4518, 29961, 29875, 2314, 13, 13, 4706, 396, 1492, 3700, 13, 4706, 565, 432, 529, 302, 1054, 448, 29871, 29896, 29901, 13, 9651, 4583, 353, 313, 29895, 29892, 474, 29892, 432, 718, 29871, 29896, 29897, 13, 9651, 7537, 353, 313, 29895, 718, 29871, 29896, 29892, 474, 29892, 432, 718, 29871, 29896, 29897, 13, 9651, 565, 7442, 29889, 655, 29889, 275, 29918, 13168, 287, 29898, 433, 446, 29918, 1958, 29961, 455, 2314, 322, 1178, 290, 475, 29961, 455, 29962, 1405, 29871, 29900, 29901, 13, 18884, 3038, 4841, 29889, 4397, 29898, 455, 29897, 13, 18884, 3711, 29895, 8768, 29889, 4397, 703, 22672, 1159, 13, 18884, 367, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 20752, 2314, 13, 18884, 734, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 455, 2314, 13, 18884, 11009, 29880, 575, 29889, 4397, 29898, 29900, 29889, 29945, 334, 15414, 29961, 29926, 718, 29871, 29896, 2314, 13, 18884, 11009, 2103, 29879, 29889, 4397, 29898, 4518, 29961, 29875, 2314, 13, 13, 4706, 396, 4565, 3700, 13, 4706, 565, 474, 529, 302, 798, 448, 29871, 29896, 29901, 13, 9651, 4583, 353, 313, 29895, 29892, 474, 718, 29871, 29896, 29892, 432, 29897, 13, 9651, 7537, 353, 313, 29895, 718, 29871, 29896, 29892, 474, 718, 29871, 29896, 29892, 432, 29897, 13, 9651, 565, 7442, 29889, 655, 29889, 275, 29918, 13168, 287, 29898, 433, 446, 29918, 1958, 29961, 455, 2314, 322, 1178, 290, 475, 29961, 455, 29962, 1405, 29871, 29900, 29901, 13, 18884, 3038, 4841, 29889, 4397, 29898, 455, 29897, 13, 18884, 3711, 29895, 8768, 29889, 4397, 703, 22672, 1159, 13, 18884, 367, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 20752, 2314, 13, 18884, 734, 2608, 29879, 29889, 4397, 29898, 29872, 2608, 800, 29961, 455, 2314, 13, 18884, 11009, 29880, 575, 29889, 4397, 29898, 29900, 29889, 29945, 334, 13475, 29961, 29875, 718, 29871, 29896, 2314, 13, 18884, 11009, 2103, 29879, 29889, 4397, 29898, 8235, 29961, 29926, 2314, 13, 13, 4706, 396, 5224, 3700, 13, 4706, 565, 413, 529, 302, 8387, 448, 29871, 29896, 29901, 13, 9651, 4583, 353, 313, 29895, 718, 29871, 29896, 29892, 474, 29892, 432, 29897, 13, 9651, 565, 7442, 29889, 655, 29889, 275, 29918, 13168, 287, 29898, 433, 446, 29918, 1958, 29961, 455, 2314, 322, 1178, 290, 475, 29961, 455, 29962, 1405, 29871, 29900, 29901, 13, 18884, 3038, 4841, 29889, 4397, 29898, 455, 29897, 13, 18884, 3711, 29895, 8768, 29889, 4397, 703, 18575, 1159, 13, 18884, 367, 2608, 29879, 29889, 4397, 29898, 29900, 29889, 29900, 29897, 13, 18884, 734, 2608, 29879, 29889, 4397, 29898, 29900, 29889, 29900, 29897, 13, 18884, 11009, 29880, 575, 29889, 4397, 29898, 29900, 29889, 29900, 29897, 13, 18884, 11009, 2103, 29879, 29889, 4397, 29898, 29900, 29889, 29900, 29897, 13, 13, 1678, 736, 3038, 4841, 29892, 3711, 29895, 8768, 29892, 367, 2608, 29879, 29892, 734, 2608, 29879, 29892, 11009, 29880, 575, 29892, 11009, 2103, 29879, 13, 2 ]

SVMmodel_withSKF.py

tameney22/DCI-Capstone

0

3901

""" This script is where the preprocessed data is used to train the SVM model to perform the classification. I am using Stratified K-Fold Cross Validation to prevent bias and/or any imbalance that could affect the model's accuracy. REFERENCE: https://medium.com/@bedigunjit/simple-guide-to-text-classification-nlp-using-svm-and-naive-bayes-with-python-421db3a72d34 """ import numpy as np import pandas as pd from sklearn import model_selection, svm from sklearn.metrics import accuracy_score from sklearn.preprocessing import LabelEncoder from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.model_selection import StratifiedKFold # Open preproccessed csv df = pd.read_csv("preprocessed.csv", index_col=0) print(df.head()) print("SPLITTING TRAIN-TEST") x = df["Text"] y = df["PublicationTitle"] train_x, test_x, train_y, test_y = model_selection.train_test_split( df["Text"], df["PublicationTitle"], test_size=0.3) # Label encode the target variable to transform categorical data of string # type into numerical values the model can understand encoder = LabelEncoder() # train_y = encoder.fit_transform(train_y) # test_y = encoder.fit_transform(test_y) # Word vectorization # turning a collection of text documents into numerical feature vectors # We are using Term Frequency - Inverse Document tfidf_vect = TfidfVectorizer(max_features=5000) tfidf_vect.fit(df["Text"]) # train_x_tfidf = tfidf_vect.transform(train_x) # test_x_tfidf = tfidf_vect.transform(test_x) x_tfidf = tfidf_vect.transform(df["Text"]) y = encoder.fit_transform(y) # print(tfidf_vect.vocabulary_) # Fit the training dataset to the classifier print("TRAINING THE MODEL") SVM = svm.SVC(C=1.0, kernel='linear', degree=3, gamma='auto') skf = StratifiedKFold(n_splits=10, shuffle=True, random_state=1) accuracies = [] fold = 1 for train_idx, test_idx in skf.split(x, y): print("Working on fold", fold) x_train_fold, x_test_fold = x_tfidf[train_idx], x_tfidf[test_idx] y_train_fold, y_test_fold = y[train_idx], y[test_idx] SVM.fit(x_train_fold, y_train_fold) acc = SVM.score(x_test_fold, y_test_fold) print("Acc", fold, ":", acc) accuracies.append(acc) fold += 1 print("ACCURACIES:", accuracies) print("Max Accuracy:", np.max(accuracies)) print("Min Accuracy:", np.min(accuracies)) print("Mean of Accuracies:", np.mean(accuracies)) print("STD of Accuracies:", np.std(accuracies)) # print("RUNNING TEST PREDICTIONS") # predictions = SVM.predict(test_x_tfidf) # # Calculate accuracy score # accuracy = accuracy_score(test_y, predictions) # print("Accuracy:", str(accuracy * 100) + "%")

[ 1, 9995, 13, 4013, 2471, 338, 988, 278, 758, 5014, 287, 848, 338, 1304, 304, 7945, 278, 317, 9219, 1904, 304, 13, 19826, 278, 12965, 29889, 306, 626, 773, 3767, 271, 2164, 476, 29899, 29943, 1025, 11189, 15758, 362, 304, 29871, 13, 18921, 24003, 322, 29914, 272, 738, 527, 5521, 749, 393, 1033, 6602, 278, 1904, 29915, 29879, 13600, 29889, 13, 13, 25866, 1001, 1430, 4741, 29901, 2045, 597, 27891, 29889, 510, 29368, 2580, 335, 348, 29926, 277, 29914, 12857, 29899, 13075, 29899, 517, 29899, 726, 29899, 1990, 2450, 29899, 12938, 29886, 29899, 4746, 29899, 4501, 29885, 29899, 392, 29899, 1056, 573, 29899, 27495, 267, 29899, 2541, 29899, 4691, 29899, 29946, 29906, 29896, 2585, 29941, 29874, 29955, 29906, 29881, 29941, 29946, 13, 15945, 29908, 13, 13, 5215, 12655, 408, 7442, 13, 5215, 11701, 408, 10518, 13, 3166, 2071, 19668, 1053, 1904, 29918, 21731, 29892, 3731, 29885, 13, 3166, 2071, 19668, 29889, 2527, 10817, 1053, 13600, 29918, 13628, 13, 3166, 2071, 19668, 29889, 1457, 19170, 1053, 15796, 8566, 6119, 13, 3166, 2071, 19668, 29889, 14394, 29918, 1062, 13857, 29889, 726, 1053, 323, 29888, 333, 29888, 12877, 3950, 13, 3166, 2071, 19668, 29889, 4299, 29918, 21731, 1053, 3767, 271, 2164, 29968, 29943, 1025, 13, 13, 13, 29937, 4673, 758, 771, 1676, 287, 11799, 13, 2176, 353, 10518, 29889, 949, 29918, 7638, 703, 1457, 5014, 287, 29889, 7638, 613, 2380, 29918, 1054, 29922, 29900, 29897, 13, 2158, 29898, 2176, 29889, 2813, 3101, 13, 13, 2158, 703, 5550, 29931, 1806, 29911, 4214, 323, 4717, 1177, 29899, 18267, 1159, 13, 29916, 353, 4489, 3366, 1626, 3108, 13, 29891, 353, 4489, 3366, 19858, 362, 7030, 3108, 13, 13, 14968, 29918, 29916, 29892, 1243, 29918, 29916, 29892, 7945, 29918, 29891, 29892, 1243, 29918, 29891, 353, 1904, 29918, 21731, 29889, 14968, 29918, 1688, 29918, 5451, 29898, 13, 1678, 4489, 3366, 1626, 12436, 4489, 3366, 19858, 362, 7030, 12436, 1243, 29918, 2311, 29922, 29900, 29889, 29941, 29897, 13, 13, 29937, 15796, 19750, 278, 3646, 2286, 304, 4327, 11608, 936, 848, 310, 1347, 13, 29937, 1134, 964, 16259, 1819, 278, 1904, 508, 2274, 13, 13, 3977, 6119, 353, 15796, 8566, 6119, 580, 13, 29937, 7945, 29918, 29891, 353, 2094, 6119, 29889, 9202, 29918, 9067, 29898, 14968, 29918, 29891, 29897, 13, 29937, 1243, 29918, 29891, 353, 2094, 6119, 29889, 9202, 29918, 9067, 29898, 1688, 29918, 29891, 29897, 13, 13, 29937, 10803, 4608, 2133, 13, 29937, 14712, 263, 4333, 310, 1426, 10701, 964, 16259, 4682, 12047, 13, 29937, 1334, 526, 773, 11814, 3878, 23860, 448, 512, 3901, 10854, 13, 13264, 333, 29888, 29918, 345, 312, 353, 323, 29888, 333, 29888, 12877, 3950, 29898, 3317, 29918, 22100, 29922, 29945, 29900, 29900, 29900, 29897, 13, 13264, 333, 29888, 29918, 345, 312, 29889, 9202, 29898, 2176, 3366, 1626, 20068, 13, 13, 29937, 7945, 29918, 29916, 29918, 13264, 333, 29888, 353, 15886, 333, 29888, 29918, 345, 312, 29889, 9067, 29898, 14968, 29918, 29916, 29897, 13, 29937, 1243, 29918, 29916, 29918, 13264, 333, 29888, 353, 15886, 333, 29888, 29918, 345, 312, 29889, 9067, 29898, 1688, 29918, 29916, 29897, 13, 13, 29916, 29918, 13264, 333, 29888, 353, 15886, 333, 29888, 29918, 345, 312, 29889, 9067, 29898, 2176, 3366, 1626, 20068, 13, 29891, 353, 2094, 6119, 29889, 9202, 29918, 9067, 29898, 29891, 29897, 13, 13, 13, 29937, 1596, 29898, 13264, 333, 29888, 29918, 345, 312, 29889, 29894, 542, 370, 352, 653, 19925, 13, 13, 29937, 383, 277, 278, 6694, 8783, 304, 278, 770, 3709, 13, 2158, 703, 29911, 4717, 1177, 4214, 6093, 16999, 2287, 29931, 1159, 13, 7597, 29924, 353, 3731, 29885, 29889, 7597, 29907, 29898, 29907, 29922, 29896, 29889, 29900, 29892, 8466, 2433, 10660, 742, 7426, 29922, 29941, 29892, 330, 2735, 2433, 6921, 1495, 13, 13, 808, 29888, 353, 3767, 271, 2164, 29968, 29943, 1025, 29898, 29876, 29918, 23579, 1169, 29922, 29896, 29900, 29892, 528, 21897, 29922, 5574, 29892, 4036, 29918, 3859, 29922, 29896, 29897, 13, 5753, 2002, 2478, 353, 5159, 13, 13, 8771, 353, 29871, 29896, 13, 1454, 7945, 29918, 13140, 29892, 1243, 29918, 13140, 297, 2071, 29888, 29889, 5451, 29898, 29916, 29892, 343, 1125, 13, 1678, 1596, 703, 5531, 292, 373, 900, 29881, 613, 900, 29881, 29897, 13, 1678, 921, 29918, 14968, 29918, 8771, 29892, 921, 29918, 1688, 29918, 8771, 353, 921, 29918, 13264, 333, 29888, 29961, 14968, 29918, 13140, 1402, 921, 29918, 13264, 333, 29888, 29961, 1688, 29918, 13140, 29962, 13, 1678, 343, 29918, 14968, 29918, 8771, 29892, 343, 29918, 1688, 29918, 8771, 353, 343, 29961, 14968, 29918, 13140, 1402, 343, 29961, 1688, 29918, 13140, 29962, 13, 13, 1678, 317, 9219, 29889, 9202, 29898, 29916, 29918, 14968, 29918, 8771, 29892, 343, 29918, 14968, 29918, 8771, 29897, 13, 1678, 1035, 353, 317, 9219, 29889, 13628, 29898, 29916, 29918, 1688, 29918, 8771, 29892, 343, 29918, 1688, 29918, 8771, 29897, 13, 1678, 1596, 703, 7504, 613, 900, 29881, 29892, 29242, 613, 1035, 29897, 13, 1678, 1035, 2002, 2478, 29889, 4397, 29898, 5753, 29897, 13, 1678, 900, 29881, 4619, 29871, 29896, 13, 13, 13, 2158, 703, 2477, 22484, 2477, 29059, 29901, 613, 1035, 2002, 2478, 29897, 13, 2158, 703, 7976, 4831, 332, 4135, 29901, 613, 7442, 29889, 3317, 29898, 5753, 2002, 2478, 876, 13, 2158, 703, 8140, 4831, 332, 4135, 29901, 613, 7442, 29889, 1195, 29898, 5753, 2002, 2478, 876, 13, 2158, 703, 6816, 273, 310, 4831, 2002, 2478, 29901, 613, 7442, 29889, 12676, 29898, 5753, 2002, 2478, 876, 13, 2158, 703, 1254, 29928, 310, 4831, 2002, 2478, 29901, 613, 7442, 29889, 4172, 29898, 5753, 2002, 2478, 876, 13, 13, 29937, 1596, 703, 29934, 3904, 29940, 4214, 17067, 1254, 349, 1525, 4571, 9838, 29903, 1159, 13, 29937, 27303, 353, 317, 9219, 29889, 27711, 29898, 1688, 29918, 29916, 29918, 13264, 333, 29888, 29897, 13, 13, 29937, 396, 20535, 403, 13600, 8158, 13, 29937, 13600, 353, 13600, 29918, 13628, 29898, 1688, 29918, 29891, 29892, 27303, 29897, 13, 29937, 1596, 703, 7504, 332, 4135, 29901, 613, 851, 29898, 562, 2764, 4135, 334, 29871, 29896, 29900, 29900, 29897, 718, 11860, 1159, 13, 2 ]

src/Server.py

blyspyder/tf-fed-demo

5

165228

<gh_stars>1-10 import tensorflow as tf from tqdm import tqdm from Client import Clients import xlwt import numpy as np def gaussian_noise(input,std,client_id,sheet,j): length = len(input) sum=0 for i in range(length): source = input[i].copy() #noise= tf.random_normal(shape=tf.shape(input[i]),mean=0.0,stddev=std,dtype=tf.float32) noise = np.random.normal(loc=0.0,scale=std,size=input[i].shape) input[i] += noise dist = np.linalg.norm(source-input[i]) sum+=dist average = sum/length sheet.write(j,client_id,average) return input def buildClients(num): learning_rate = 0.0005#0.0002 num_input = 32 # image shape: 32*32 num_input_channel = 3 # image channel: 3 num_classes = 10 # Cifar-10 total classes (0-9 digits) #返回一定数量的clients return Clients(input_shape=[None, num_input, num_input, num_input_channel], num_classes=num_classes, learning_rate=learning_rate, clients_num=num) def run_global_test(client, global_vars, test_num, i, save=False,sheet=None): #测试输出acc和loss client.set_global_vars(global_vars) acc, loss = client.run_test(test_num,save) sheet.write(i,0,float(acc)) sheet.write(i,1,float(loss)) print("[epoch {}, {} inst] Testing ACC: {:.4f}, Loss: {:.4f}".format( ep + 1, test_num, acc, loss)) scales = [0.0005,0.05,0.2] for scale in scales: CLIENT_NUMBER = 4 #客户端数量 '''可尝试更高比例的客户端''' CLIENT_RATIO_PER_ROUND = 0.5 #每轮挑选的clients的比例 epoch = 260 #### CREATE CLIENT AND LOAD DATASET #### client = buildClients(CLIENT_NUMBER) workbook = xlwt.Workbook() sheet=workbook.add_sheet('0.0002') #### BEGIN TRAINING #### sheet2 = workbook.add_sheet('欧式距离') global_vars = client.get_client_vars() for ep in range(epoch): #收集client端的参数 client_vars_sum = None # 随机挑选client训练 random_clients = client.choose_clients(CLIENT_RATIO_PER_ROUND) # tqdm显示进度条 for client_id in tqdm(random_clients, ascii=True): #将sever端模型加载到tqdm上 client.set_global_vars(global_vars) # 训练这个下表的client client.train_epoch(cid=client_id) # 获取当前client的变量值 current_client_vars_norm = client.get_client_vars() #获得参数后如高斯白噪声 current_client_vars=gaussian_noise(current_client_vars_norm,scale,client_id,sheet2,ep) # 叠加各层参数 if client_vars_sum is None: client_vars_sum = current_client_vars else: for cv, ccv in zip(client_vars_sum, current_client_vars): cv += ccv # obtain the avg vars as global vars global_vars = [] for var in client_vars_sum: global_vars.append(var / len(random_clients)) # 测试集进行测试 run_global_test(client, global_vars, test_num=600,i=ep,sheet=sheet)#将结果写入到excel中 workbook.save('加噪scale={}结果.xls'.format(scale)) #### FINAL TEST #### #run_global_test(client, global_vars, test_num=10000)

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 26110, 408, 15886, 13, 3166, 260, 29939, 18933, 1053, 260, 29939, 18933, 13, 3166, 12477, 1053, 315, 492, 1237, 13, 5215, 921, 29880, 14554, 13, 5215, 12655, 408, 7442, 13, 13, 13, 1753, 330, 17019, 29918, 1217, 895, 29898, 2080, 29892, 4172, 29892, 4645, 29918, 333, 29892, 9855, 29892, 29926, 1125, 13, 1678, 3309, 353, 7431, 29898, 2080, 29897, 13, 1678, 2533, 29922, 29900, 13, 1678, 363, 474, 297, 3464, 29898, 2848, 1125, 13, 4706, 2752, 353, 1881, 29961, 29875, 1822, 8552, 580, 13, 4706, 396, 1217, 895, 29922, 15886, 29889, 8172, 29918, 8945, 29898, 12181, 29922, 13264, 29889, 12181, 29898, 2080, 29961, 29875, 11724, 12676, 29922, 29900, 29889, 29900, 29892, 4172, 3359, 29922, 4172, 29892, 29881, 1853, 29922, 13264, 29889, 7411, 29941, 29906, 29897, 13, 4706, 11462, 353, 7442, 29889, 8172, 29889, 8945, 29898, 2029, 29922, 29900, 29889, 29900, 29892, 7052, 29922, 4172, 29892, 2311, 29922, 2080, 29961, 29875, 1822, 12181, 29897, 13, 4706, 1881, 29961, 29875, 29962, 4619, 11462, 13, 4706, 1320, 353, 7442, 29889, 29880, 979, 29887, 29889, 12324, 29898, 4993, 29899, 2080, 29961, 29875, 2314, 13, 4706, 2533, 23661, 5721, 13, 1678, 6588, 353, 2533, 29914, 2848, 13, 1678, 9869, 29889, 3539, 29898, 29926, 29892, 4645, 29918, 333, 29892, 12483, 482, 29897, 13, 1678, 736, 1881, 13, 13, 1753, 2048, 29907, 492, 1237, 29898, 1949, 1125, 13, 1678, 6509, 29918, 10492, 353, 29871, 29900, 29889, 29900, 29900, 29900, 29945, 29937, 29900, 29889, 29900, 29900, 29900, 29906, 13, 1678, 954, 29918, 2080, 353, 29871, 29941, 29906, 29871, 396, 1967, 8267, 29901, 29871, 29941, 29906, 29930, 29941, 29906, 13, 1678, 954, 29918, 2080, 29918, 12719, 353, 29871, 29941, 29871, 396, 1967, 8242, 29901, 29871, 29941, 13, 1678, 954, 29918, 13203, 353, 29871, 29896, 29900, 29871, 396, 315, 361, 279, 29899, 29896, 29900, 3001, 4413, 313, 29900, 29899, 29929, 13340, 29897, 13, 13, 1678, 396, 31086, 30742, 30287, 30495, 30354, 31180, 30210, 11303, 1237, 13, 1678, 736, 315, 492, 1237, 29898, 2080, 29918, 12181, 11759, 8516, 29892, 954, 29918, 2080, 29892, 954, 29918, 2080, 29892, 954, 29918, 2080, 29918, 12719, 1402, 13, 462, 29871, 954, 29918, 13203, 29922, 1949, 29918, 13203, 29892, 13, 462, 29871, 6509, 29918, 10492, 29922, 21891, 29918, 10492, 29892, 13, 462, 29871, 13154, 29918, 1949, 29922, 1949, 29897, 13, 13, 1753, 1065, 29918, 10945, 29918, 1688, 29898, 4645, 29892, 5534, 29918, 16908, 29892, 1243, 29918, 1949, 29892, 474, 29892, 4078, 29922, 8824, 29892, 9855, 29922, 8516, 1125, 13, 1678, 396, 31851, 31787, 31573, 30544, 5753, 30503, 6758, 13, 1678, 3132, 29889, 842, 29918, 10945, 29918, 16908, 29898, 10945, 29918, 16908, 29897, 13, 1678, 1035, 29892, 6410, 353, 3132, 29889, 3389, 29918, 1688, 29898, 1688, 29918, 1949, 29892, 7620, 29897, 13, 1678, 9869, 29889, 3539, 29898, 29875, 29892, 29900, 29892, 7411, 29898, 5753, 876, 13, 1678, 9869, 29889, 3539, 29898, 29875, 29892, 29896, 29892, 7411, 29898, 6758, 876, 13, 1678, 1596, 703, 29961, 1022, 2878, 24335, 6571, 832, 29962, 4321, 292, 319, 4174, 29901, 12365, 29889, 29946, 29888, 1118, 365, 2209, 29901, 12365, 29889, 29946, 29888, 29913, 1642, 4830, 29898, 13, 4706, 9358, 718, 29871, 29896, 29892, 1243, 29918, 1949, 29892, 1035, 29892, 6410, 876, 13, 13, 19529, 267, 353, 518, 29900, 29889, 29900, 29900, 29900, 29945, 29892, 29900, 29889, 29900, 29945, 29892, 29900, 29889, 29906, 29962, 13, 1454, 6287, 297, 23431, 29901, 13, 1678, 24492, 3919, 29918, 23207, 353, 29871, 29946, 396, 31915, 31229, 234, 174, 178, 30354, 31180, 13, 1678, 14550, 30682, 232, 179, 160, 31787, 31100, 30528, 31419, 31507, 30210, 31915, 31229, 234, 174, 178, 12008, 13, 1678, 24492, 3919, 29918, 29934, 1299, 5971, 29918, 13171, 29918, 1672, 18783, 353, 29871, 29900, 29889, 29945, 396, 31951, 235, 192, 177, 233, 143, 148, 31333, 30210, 11303, 1237, 30210, 31419, 31507, 13, 1678, 21502, 305, 353, 29871, 29906, 29953, 29900, 13, 13, 1678, 3191, 14602, 24492, 3919, 5300, 11247, 3035, 27640, 8127, 29911, 3191, 13, 1678, 3132, 353, 2048, 29907, 492, 1237, 29898, 27205, 3919, 29918, 23207, 29897, 13, 13, 1678, 664, 2909, 353, 921, 29880, 14554, 29889, 26501, 580, 13, 1678, 9869, 29922, 1287, 2909, 29889, 1202, 29918, 9855, 877, 29900, 29889, 29900, 29900, 29900, 29906, 1495, 13, 1678, 3191, 22815, 323, 4717, 1177, 4214, 3191, 13, 1678, 9869, 29906, 353, 664, 2909, 29889, 1202, 29918, 9855, 877, 233, 175, 170, 30607, 235, 186, 160, 234, 169, 190, 1495, 13, 13, 1678, 5534, 29918, 16908, 353, 3132, 29889, 657, 29918, 4645, 29918, 16908, 580, 13, 1678, 363, 9358, 297, 3464, 29898, 1022, 2878, 1125, 13, 4706, 396, 31997, 30893, 4645, 234, 174, 178, 30210, 31125, 30354, 13, 4706, 3132, 29918, 16908, 29918, 2083, 353, 6213, 13, 13, 4706, 396, 29871, 236, 157, 146, 31429, 233, 143, 148, 31333, 4645, 235, 177, 176, 234, 190, 134, 13, 4706, 4036, 29918, 11303, 1237, 353, 3132, 29889, 21803, 29918, 11303, 1237, 29898, 27205, 3919, 29918, 29934, 1299, 5971, 29918, 13171, 29918, 1672, 18783, 29897, 13, 13, 4706, 396, 260, 29939, 18933, 31542, 30858, 31174, 30898, 31217, 13, 4706, 363, 3132, 29918, 333, 297, 260, 29939, 18933, 29898, 8172, 29918, 11303, 1237, 29892, 408, 18869, 29922, 5574, 1125, 13, 9651, 396, 30998, 344, 369, 234, 174, 178, 31382, 30883, 30666, 31526, 30780, 29873, 29939, 18933, 30429, 13, 9651, 3132, 29889, 842, 29918, 10945, 29918, 16908, 29898, 10945, 29918, 16908, 29897, 13, 13, 9651, 396, 29871, 235, 177, 176, 234, 190, 134, 30810, 30502, 30557, 30746, 30210, 4645, 13, 9651, 3132, 29889, 14968, 29918, 1022, 2878, 29898, 25232, 29922, 4645, 29918, 333, 29897, 13, 13, 9651, 396, 29871, 31024, 30683, 30948, 30658, 4645, 30210, 31462, 31180, 30959, 13, 9651, 1857, 29918, 4645, 29918, 16908, 29918, 12324, 353, 3132, 29889, 657, 29918, 4645, 29918, 16908, 580, 13, 13, 9651, 396, 31024, 31050, 31125, 30354, 30822, 30847, 30528, 31824, 30868, 232, 156, 173, 232, 166, 179, 13, 9651, 1857, 29918, 4645, 29918, 16908, 29922, 29887, 17019, 29918, 1217, 895, 29898, 3784, 29918, 4645, 29918, 16908, 29918, 12324, 29892, 7052, 29892, 4645, 29918, 333, 29892, 9855, 29906, 29892, 1022, 29897, 13, 13, 9651, 396, 29871, 232, 146, 163, 30666, 232, 147, 135, 232, 180, 133, 31125, 30354, 13, 9651, 565, 3132, 29918, 16908, 29918, 2083, 338, 6213, 29901, 13, 18884, 3132, 29918, 16908, 29918, 2083, 353, 1857, 29918, 4645, 29918, 16908, 13, 9651, 1683, 29901, 13, 18884, 363, 13850, 29892, 274, 11023, 297, 14319, 29898, 4645, 29918, 16908, 29918, 2083, 29892, 1857, 29918, 4645, 29918, 16908, 1125, 13, 462, 1678, 13850, 4619, 274, 11023, 13, 13, 4706, 396, 4017, 278, 1029, 29887, 24987, 408, 5534, 24987, 13, 4706, 5534, 29918, 16908, 353, 5159, 13, 4706, 363, 722, 297, 3132, 29918, 16908, 29918, 2083, 29901, 13, 9651, 5534, 29918, 16908, 29889, 4397, 29898, 1707, 847, 7431, 29898, 8172, 29918, 11303, 1237, 876, 13, 13, 4706, 396, 29871, 31851, 31787, 30893, 31174, 30448, 31851, 31787, 13, 4706, 1065, 29918, 10945, 29918, 1688, 29898, 4645, 29892, 5534, 29918, 16908, 29892, 1243, 29918, 1949, 29922, 29953, 29900, 29900, 29892, 29875, 29922, 1022, 29892, 9855, 29922, 9855, 29897, 29937, 30998, 31320, 30801, 31479, 30752, 30780, 24633, 30275, 13, 1678, 664, 2909, 29889, 7620, 877, 30666, 232, 156, 173, 7052, 3790, 29913, 31320, 30801, 29889, 20267, 4286, 4830, 29898, 7052, 876, 13, 1678, 3191, 383, 1177, 1964, 17067, 1254, 3191, 13, 1678, 396, 3389, 29918, 10945, 29918, 1688, 29898, 4645, 29892, 5534, 29918, 16908, 29892, 1243, 29918, 1949, 29922, 29896, 29900, 29900, 29900, 29900, 29897, 13, 2 ]

split_image_4_quad.py

Karthik-Suresh93/fpn_visdrone

11

66619

<gh_stars>10-100 #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Jun 1 19:34:51 2018 @author: karthik """ import cv2 import os import csv PATH_IMAGE = "./JPEGImages/" PATH_annot = "./annotations_car_only_txt/" PATH_IMAGE_4 = "./JPEGImages_split_5000_0.15/" PATH_ANNOT_4 = "./Annotations_split_5000_0.15/" def divide_img_into_two_vertically(img, overlap_w): """ overlap_w: amount of overlap expressed as fraction of half the width of the image. or width of half a horizontally cut portion """ height, width = img.shape[:2] # Let's get the starting pixel coordiantes (top left of cropped top) start_row, start_col = int(0), int(0) # Let's get the ending pixel coordinates (bottom right of cropped top) end_row, end_col = int(height), int(width*0.5 + overlap_w*width*0.5) cropped_left = img[start_row:end_row , start_col:end_col] # Let's get the starting pixel coordiantes (top left of cropped bottom) start_row, start_col = int(0), int(width*0.5) #next half is not affected by overlap # Let's get the ending pixel coordinates (bottom right of cropped bottom) end_row, end_col = int(height), int(width) cropped_right = img[start_row:end_row , start_col:end_col] return(cropped_left, cropped_right) def divide_img_into_two_horizontally(img, overlap_h): height, width = img.shape[:2] # Let's get the starting pixel coordiantes (top left of cropped top) start_row, start_col = int(0), int(0) # Let's get the ending pixel coordinates (bottom right of cropped top) end_row, end_col = int(height*0.5 + overlap_h*0.5*height), int(width) cropped_left = img[start_row:end_row , start_col:end_col] # Let's get the starting pixel coordiantes (top left of cropped bottom) start_row, start_col = int(height*0.5), int(0) # Let's get the ending pixel coordinates (bottom right of cropped bottom) end_row, end_col = int(height), int(width) cropped_right = img[start_row:end_row , start_col:end_col] return(cropped_left, cropped_right) count_separated_anno=0 count_all_anno=0 def divide_img_into_four_overlap(img, overlap_w = 0.15, overlap_h = 0.15): l,r = divide_img_into_two_vertically(img, overlap_w) q1, q2 = divide_img_into_two_horizontally(l, overlap_h) q3, q4 = divide_img_into_two_horizontally(r, overlap_h) return q1,q2,q3,q4 # image_name = (str(os.listdir(PATH_IMAGE)[1])) # image = cv2.imread(PATH_IMAGE+ image_name) # q1,q2,q3,q4 = divide_img_into_four_overlap(image, overlap_w = 0, overlap_h = 0) # cv2.imwrite("./q1.jpg", q1) # cv2.imwrite("./q2.jpg", q2) # cv2.imwrite("./q3.jpg", q3) # cv2.imwrite("./q4.jpg", q4) def adjust_annotations(image_name, img, overlap_h=0.15, overlap_w=0.15): with open(PATH_annot + image_name.split(".")[0]+".txt") as f: lines = f.readlines() for line in lines: bbox = line.split(",")[0:4] [score, category, truncation, occlusion] = line.split(",")[4:8] assert int(category)<10, image_name xmin = int(bbox[0]) ymin = int(bbox[1]) xmax = int(bbox[2]) +xmin ymax = int(bbox[3]) +ymin assert xmin<xmax, "xmin>xmax!" assert ymin<ymax, "ymin>ymax!" h,w = img.shape[:2] overlap_adjust_w = 0.5*overlap_w*w overlap_adjust_h = 0.5*overlap_h*h #quadrant 1: left, top #annotations remain the same if ymax < h/2+overlap_adjust_h and xmax < w/2+overlap_adjust_w: full_line = [xmin, ymin, xmax-xmin, ymax-ymin, int(score), int(category),int(truncation), int(occlusion)] with open(PATH_ANNOT_4+image_name.split(".")[0]+"_1"+".txt", "a+") as f1: wr = csv.writer(f1) wr.writerow(full_line) #quadrant 2: left, bottom elif xmax < w/2+overlap_adjust_w and ymin >h/2: ymax = ymax - h/2 ymin = ymin - h/2 full_line = [xmin, ymin, xmax-xmin, ymax-ymin, int(score), int(category),int(truncation), int(occlusion)] with open(PATH_ANNOT_4+image_name.split(".")[0]+"_2"+".txt", "a+") as f2: wr = csv.writer(f2) wr.writerow(full_line) #quadrant 3: right, top elif xmin >w/2 and ymax < h/2 +overlap_adjust_h: xmin = xmin - w/2 xmax = xmax - w/2 full_line = [xmin, ymin, xmax-xmin, ymax-ymin, int(score), int(category),int(truncation), int(occlusion)] with open(PATH_ANNOT_4+image_name.split(".")[0]+"_3"+".txt", "a+") as f3: wr = csv.writer(f3) wr.writerow(full_line) #quadrant 4: right, bottom elif ymin > h/2 and xmin > w/2: ymin = ymin - h/2 ymax = ymax - h/2 xmin = xmin - w/2 xmax = xmax - w/2 full_line = [xmin, ymin, xmax-xmin, ymax-ymin, int(score), int(category),int(truncation), int(occlusion)] with open(PATH_ANNOT_4+image_name.split(".")[0]+"_4"+".txt", "a+") as f4: wr = csv.writer(f4) wr.writerow(full_line) else: #print ("bb is in none of the quadrants!") pass if __name__ == "__main__": for image_name in os.listdir(PATH_IMAGE): image = cv2.imread(PATH_IMAGE+image_name) #print(image.shape) # cs, ca= adjust_annotations(image_name, image,overlap=0.40) # l,r = divide_img_into_two(image) # one, two = divide_img_into_two(l) # three, four = divide_img_into_two(r) # one,two,three,four = divide_img_into_four_with_overlap(image, overlap_amount = 0.40) o_h = 0.15; o_w = 0.15 #SET OVERLAPS ALONG HEIGHT AND WIDTH RESPECTIVELY... q1,q2,q3,q4 = divide_img_into_four_overlap(image, overlap_h = o_h, overlap_w = o_w) cv2.imwrite(PATH_IMAGE_4+image_name.split(".")[0]+"_1"+".jpg", q1) cv2.imwrite(PATH_IMAGE_4+image_name.split(".")[0]+"_2"+".jpg", q2) cv2.imwrite(PATH_IMAGE_4+image_name.split(".")[0]+"_3"+".jpg", q3) cv2.imwrite(PATH_IMAGE_4+image_name.split(".")[0]+"_4"+".jpg", q4) adjust_annotations(image_name, image, overlap_h = o_h, overlap_w = o_w) #import matplotlib.pyplot as plt #plt.plot(list(range(12)), [class_list_original.count(i) for i in range(12)], color="b") #plt.plot(list(range(12)), [class_list_40.count(i) for i in range(12)], color="g") # #plt.show()

[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29899, 29896, 29900, 29900, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 29941, 30004, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 30004, 13, 15945, 19451, 13, 20399, 373, 11169, 8378, 259, 29896, 29871, 29896, 29929, 29901, 29941, 29946, 29901, 29945, 29896, 29871, 29906, 29900, 29896, 29947, 30004, 13, 29992, 8921, 29901, 10856, 386, 638, 30004, 13, 15945, 19451, 13, 5215, 13850, 29906, 30004, 13, 5215, 2897, 30004, 13, 5215, 11799, 30004, 13, 10145, 29918, 2382, 353, 376, 6904, 29967, 4162, 29954, 20163, 12975, 30004, 13, 10145, 29918, 6735, 353, 376, 6904, 6735, 800, 29918, 4287, 29918, 6194, 29918, 3945, 12975, 30004, 13, 10145, 29918, 2382, 29918, 29946, 353, 376, 6904, 29967, 4162, 29954, 20163, 29918, 5451, 29918, 29945, 29900, 29900, 29900, 29918, 29900, 29889, 29896, 29945, 12975, 30004, 13, 30004, 13, 30004, 13, 10145, 29918, 2190, 12256, 29918, 29946, 353, 376, 6904, 2744, 1333, 800, 29918, 5451, 29918, 29945, 29900, 29900, 29900, 29918, 29900, 29889, 29896, 29945, 12975, 30004, 13, 30004, 13, 1753, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29918, 1765, 1711, 29898, 2492, 29892, 25457, 29918, 29893, 1125, 30004, 13, 30004, 13, 1678, 9995, 30004, 13, 1678, 25457, 29918, 29893, 29901, 5253, 310, 25457, 13384, 408, 15958, 310, 4203, 278, 2920, 310, 278, 1967, 29889, 470, 2920, 310, 4203, 263, 4029, 6753, 635, 5700, 11910, 30004, 13, 1678, 9995, 30004, 13, 1678, 3171, 29892, 2920, 353, 10153, 29889, 12181, 7503, 29906, 29962, 1678, 6756, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 6257, 15526, 29311, 29875, 3794, 313, 3332, 2175, 310, 8182, 2986, 2246, 8443, 13, 1678, 1369, 29918, 798, 29892, 1369, 29918, 1054, 353, 938, 29898, 29900, 511, 938, 29898, 29900, 8443, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 17140, 15526, 10350, 313, 8968, 1492, 310, 8182, 2986, 2246, 8443, 13, 1678, 1095, 29918, 798, 29892, 1095, 29918, 1054, 353, 938, 29898, 3545, 511, 938, 29898, 2103, 29930, 29900, 29889, 29945, 718, 25457, 29918, 29893, 29930, 2103, 29930, 29900, 29889, 29945, 8443, 13, 1678, 8182, 2986, 29918, 1563, 353, 10153, 29961, 2962, 29918, 798, 29901, 355, 29918, 798, 1919, 1369, 29918, 1054, 29901, 355, 29918, 1054, 29962, 539, 6756, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 6257, 15526, 29311, 29875, 3794, 313, 3332, 2175, 310, 8182, 2986, 5970, 8443, 13, 1678, 1369, 29918, 798, 29892, 1369, 29918, 1054, 353, 938, 29898, 29900, 511, 938, 29898, 2103, 29930, 29900, 29889, 29945, 29897, 259, 396, 4622, 4203, 338, 451, 15201, 491, 25457, 30004, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 17140, 15526, 10350, 313, 8968, 1492, 310, 8182, 2986, 5970, 8443, 13, 1678, 1095, 29918, 798, 29892, 1095, 29918, 1054, 353, 938, 29898, 3545, 511, 938, 29898, 2103, 8443, 13, 1678, 8182, 2986, 29918, 1266, 353, 10153, 29961, 2962, 29918, 798, 29901, 355, 29918, 798, 1919, 1369, 29918, 1054, 29901, 355, 29918, 1054, 29962, 1678, 6756, 13, 1678, 736, 29898, 24077, 2986, 29918, 1563, 29892, 8182, 2986, 29918, 1266, 8443, 13, 30004, 13, 1753, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29918, 2015, 6753, 635, 29898, 2492, 29892, 25457, 29918, 29882, 1125, 30004, 13, 1678, 6756, 13, 1678, 3171, 29892, 2920, 353, 10153, 29889, 12181, 7503, 29906, 29962, 259, 6756, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 6257, 15526, 29311, 29875, 3794, 313, 3332, 2175, 310, 8182, 2986, 2246, 8443, 13, 1678, 1369, 29918, 798, 29892, 1369, 29918, 1054, 353, 938, 29898, 29900, 511, 938, 29898, 29900, 8443, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 17140, 15526, 10350, 313, 8968, 1492, 310, 8182, 2986, 2246, 8443, 13, 1678, 1095, 29918, 798, 29892, 1095, 29918, 1054, 353, 938, 29898, 3545, 29930, 29900, 29889, 29945, 718, 25457, 29918, 29882, 29930, 29900, 29889, 29945, 29930, 3545, 511, 938, 29898, 2103, 8443, 13, 1678, 8182, 2986, 29918, 1563, 353, 10153, 29961, 2962, 29918, 798, 29901, 355, 29918, 798, 1919, 1369, 29918, 1054, 29901, 355, 29918, 1054, 29962, 1678, 6756, 13, 1678, 6756, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 6257, 15526, 29311, 29875, 3794, 313, 3332, 2175, 310, 8182, 2986, 5970, 8443, 13, 1678, 1369, 29918, 798, 29892, 1369, 29918, 1054, 353, 938, 29898, 3545, 29930, 29900, 29889, 29945, 511, 938, 29898, 29900, 8443, 13, 1678, 396, 2803, 29915, 29879, 679, 278, 17140, 15526, 10350, 313, 8968, 1492, 310, 8182, 2986, 5970, 8443, 13, 1678, 1095, 29918, 798, 29892, 1095, 29918, 1054, 353, 938, 29898, 3545, 511, 938, 29898, 2103, 8443, 13, 1678, 8182, 2986, 29918, 1266, 353, 10153, 29961, 2962, 29918, 798, 29901, 355, 29918, 798, 1919, 1369, 29918, 1054, 29901, 355, 29918, 1054, 29962, 1678, 6756, 13, 1678, 736, 29898, 24077, 2986, 29918, 1563, 29892, 8182, 2986, 29918, 1266, 8443, 13, 1678, 6756, 13, 2798, 29918, 25048, 630, 29918, 7665, 29922, 29900, 30004, 13, 2798, 29918, 497, 29918, 7665, 29922, 29900, 30004, 13, 30004, 13, 1753, 16429, 29918, 2492, 29918, 8941, 29918, 17823, 29918, 957, 6984, 29898, 2492, 29892, 25457, 29918, 29893, 353, 29871, 29900, 29889, 29896, 29945, 29892, 25457, 29918, 29882, 353, 29871, 29900, 29889, 29896, 29945, 1125, 30004, 13, 30004, 13, 1678, 301, 29892, 29878, 353, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29918, 1765, 1711, 29898, 2492, 29892, 25457, 29918, 29893, 8443, 13, 1678, 3855, 29896, 29892, 3855, 29906, 353, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29918, 2015, 6753, 635, 29898, 29880, 29892, 25457, 29918, 29882, 8443, 13, 1678, 3855, 29941, 29892, 3855, 29946, 353, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29918, 2015, 6753, 635, 29898, 29878, 29892, 25457, 29918, 29882, 8443, 13, 30004, 13, 1678, 736, 3855, 29896, 29892, 29939, 29906, 29892, 29939, 29941, 29892, 29939, 29946, 30004, 13, 30004, 13, 29937, 1967, 29918, 978, 353, 29871, 313, 710, 29898, 359, 29889, 1761, 3972, 29898, 10145, 29918, 2382, 9601, 29896, 12622, 30004, 13, 29937, 1967, 353, 29871, 13850, 29906, 29889, 326, 949, 29898, 10145, 29918, 2382, 29974, 1967, 29918, 978, 8443, 13, 29937, 3855, 29896, 29892, 29939, 29906, 29892, 29939, 29941, 29892, 29939, 29946, 353, 16429, 29918, 2492, 29918, 8941, 29918, 17823, 29918, 957, 6984, 29898, 3027, 29892, 25457, 29918, 29893, 353, 29871, 29900, 29892, 25457, 29918, 29882, 353, 29871, 29900, 8443, 13, 29937, 13850, 29906, 29889, 326, 3539, 703, 6904, 29939, 29896, 29889, 6173, 613, 3855, 29896, 8443, 13, 29937, 13850, 29906, 29889, 326, 3539, 703, 6904, 29939, 29906, 29889, 6173, 613, 3855, 29906, 8443, 13, 29937, 13850, 29906, 29889, 326, 3539, 703, 6904, 29939, 29941, 29889, 6173, 613, 3855, 29941, 8443, 13, 29937, 13850, 29906, 29889, 326, 3539, 703, 6904, 29939, 29946, 29889, 6173, 613, 3855, 29946, 8443, 13, 30004, 13, 1753, 10365, 29918, 6735, 800, 29898, 3027, 29918, 978, 29892, 10153, 29892, 25457, 29918, 29882, 29922, 29900, 29889, 29896, 29945, 29892, 25457, 29918, 29893, 29922, 29900, 29889, 29896, 29945, 1125, 30004, 13, 1678, 6756, 13, 1678, 411, 1722, 29898, 10145, 29918, 6735, 718, 1967, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 1642, 3945, 1159, 408, 285, 29901, 30004, 13, 4706, 3454, 353, 285, 29889, 949, 9012, 26471, 13, 4706, 363, 1196, 297, 3454, 29901, 30004, 13, 9651, 289, 1884, 353, 1196, 29889, 5451, 28165, 1159, 29961, 29900, 29901, 29946, 29962, 30004, 13, 9651, 518, 13628, 29892, 7663, 29892, 21022, 362, 29892, 2179, 29880, 3958, 29962, 353, 1196, 29889, 5451, 28165, 1159, 29961, 29946, 29901, 29947, 29962, 30004, 13, 9651, 4974, 938, 29898, 7320, 29897, 29966, 29896, 29900, 29892, 1967, 29918, 978, 30004, 13, 9651, 921, 1195, 353, 938, 29898, 29890, 1884, 29961, 29900, 2314, 30004, 13, 9651, 343, 1195, 353, 938, 29898, 29890, 1884, 29961, 29896, 2314, 30004, 13, 9651, 921, 3317, 353, 938, 29898, 29890, 1884, 29961, 29906, 2314, 718, 29916, 1195, 30004, 13, 9651, 343, 3317, 353, 938, 29898, 29890, 1884, 29961, 29941, 2314, 718, 962, 262, 30004, 13, 30004, 13, 9651, 4974, 921, 1195, 29966, 29916, 3317, 29892, 376, 29916, 1195, 29958, 29916, 3317, 3850, 30004, 13, 9651, 4974, 343, 1195, 29966, 29891, 3317, 29892, 376, 962, 262, 29958, 29891, 3317, 3850, 30004, 13, 30004, 13, 9651, 298, 29892, 29893, 353, 10153, 29889, 12181, 7503, 29906, 29962, 30004, 13, 9651, 25457, 29918, 328, 5143, 29918, 29893, 353, 29871, 29900, 29889, 29945, 29930, 957, 6984, 29918, 29893, 29930, 29893, 30004, 13, 9651, 25457, 29918, 328, 5143, 29918, 29882, 353, 29871, 29900, 29889, 29945, 29930, 957, 6984, 29918, 29882, 29930, 29882, 30004, 13, 9651, 396, 3425, 21867, 29871, 29896, 29901, 2175, 29892, 2246, 30004, 13, 9651, 396, 6735, 800, 3933, 278, 1021, 30004, 13, 9651, 565, 343, 3317, 529, 298, 29914, 29906, 29974, 957, 6984, 29918, 328, 5143, 29918, 29882, 322, 921, 3317, 529, 281, 29914, 29906, 29974, 957, 6984, 29918, 328, 5143, 29918, 29893, 29901, 30004, 13, 18884, 6756, 13, 18884, 2989, 29918, 1220, 353, 518, 29916, 1195, 29892, 343, 1195, 29892, 921, 3317, 29899, 29916, 1195, 29892, 343, 3317, 29899, 962, 262, 29892, 938, 29898, 13628, 511, 938, 29898, 7320, 511, 524, 29898, 509, 4661, 362, 511, 938, 29898, 542, 10085, 4638, 30004, 13, 18884, 411, 1722, 29898, 10145, 29918, 2190, 12256, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29896, 17969, 1642, 3945, 613, 376, 29874, 29974, 1159, 408, 285, 29896, 29901, 30004, 13, 462, 1678, 2358, 353, 11799, 29889, 13236, 29898, 29888, 29896, 8443, 13, 462, 1678, 2358, 29889, 13236, 340, 29898, 8159, 29918, 1220, 8443, 13, 30004, 13, 9651, 396, 3425, 21867, 29871, 29906, 29901, 2175, 29892, 5970, 30004, 13, 30004, 13, 9651, 25342, 921, 3317, 529, 281, 29914, 29906, 29974, 957, 6984, 29918, 328, 5143, 29918, 29893, 322, 343, 1195, 1405, 29882, 29914, 29906, 29901, 30004, 13, 18884, 343, 3317, 353, 343, 3317, 448, 298, 29914, 29906, 30004, 13, 18884, 343, 1195, 353, 343, 1195, 448, 298, 29914, 29906, 30004, 13, 18884, 2989, 29918, 1220, 353, 518, 29916, 1195, 29892, 343, 1195, 29892, 921, 3317, 29899, 29916, 1195, 29892, 343, 3317, 29899, 962, 262, 29892, 938, 29898, 13628, 511, 938, 29898, 7320, 511, 524, 29898, 509, 4661, 362, 511, 938, 29898, 542, 10085, 4638, 30004, 13, 18884, 411, 1722, 29898, 10145, 29918, 2190, 12256, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29906, 17969, 1642, 3945, 613, 376, 29874, 29974, 1159, 408, 285, 29906, 29901, 30004, 13, 462, 1678, 2358, 353, 11799, 29889, 13236, 29898, 29888, 29906, 8443, 13, 462, 1678, 2358, 29889, 13236, 340, 29898, 8159, 29918, 1220, 8443, 13, 9651, 396, 3425, 21867, 29871, 29941, 29901, 1492, 29892, 2246, 30004, 13, 30004, 13, 9651, 25342, 921, 1195, 1405, 29893, 29914, 29906, 322, 343, 3317, 529, 298, 29914, 29906, 718, 957, 6984, 29918, 328, 5143, 29918, 29882, 29901, 30004, 13, 18884, 921, 1195, 353, 921, 1195, 448, 281, 29914, 29906, 30004, 13, 18884, 921, 3317, 353, 921, 3317, 448, 281, 29914, 29906, 30004, 13, 18884, 2989, 29918, 1220, 353, 518, 29916, 1195, 29892, 343, 1195, 29892, 921, 3317, 29899, 29916, 1195, 29892, 343, 3317, 29899, 962, 262, 29892, 938, 29898, 13628, 511, 938, 29898, 7320, 511, 524, 29898, 509, 4661, 362, 511, 938, 29898, 542, 10085, 4638, 30004, 13, 18884, 411, 1722, 29898, 10145, 29918, 2190, 12256, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29941, 17969, 1642, 3945, 613, 376, 29874, 29974, 1159, 408, 285, 29941, 29901, 30004, 13, 462, 1678, 2358, 353, 11799, 29889, 13236, 29898, 29888, 29941, 8443, 13, 462, 1678, 2358, 29889, 13236, 340, 29898, 8159, 29918, 1220, 8443, 13, 30004, 13, 9651, 396, 3425, 21867, 29871, 29946, 29901, 1492, 29892, 5970, 30004, 13, 9651, 25342, 343, 1195, 1405, 298, 29914, 29906, 322, 921, 1195, 1405, 281, 29914, 29906, 29901, 30004, 13, 18884, 343, 1195, 353, 343, 1195, 448, 298, 29914, 29906, 30004, 13, 18884, 343, 3317, 353, 343, 3317, 448, 298, 29914, 29906, 30004, 13, 18884, 921, 1195, 353, 921, 1195, 448, 281, 29914, 29906, 30004, 13, 18884, 921, 3317, 353, 921, 3317, 448, 281, 29914, 29906, 30004, 13, 18884, 2989, 29918, 1220, 353, 518, 29916, 1195, 29892, 343, 1195, 29892, 921, 3317, 29899, 29916, 1195, 29892, 343, 3317, 29899, 962, 262, 29892, 938, 29898, 13628, 511, 938, 29898, 7320, 511, 524, 29898, 509, 4661, 362, 511, 938, 29898, 542, 10085, 4638, 30004, 13, 18884, 411, 1722, 29898, 10145, 29918, 2190, 12256, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29946, 17969, 1642, 3945, 613, 376, 29874, 29974, 1159, 408, 285, 29946, 29901, 30004, 13, 462, 1678, 2358, 353, 11799, 29889, 13236, 29898, 29888, 29946, 8443, 13, 462, 1678, 2358, 29889, 13236, 340, 29898, 8159, 29918, 1220, 8443, 13, 30004, 13, 9651, 1683, 29901, 30004, 13, 18884, 396, 2158, 4852, 1327, 338, 297, 5642, 310, 278, 15448, 1934, 29991, 1159, 30004, 13, 18884, 1209, 30004, 13, 30004, 13, 30004, 13, 30004, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 30004, 13, 1678, 363, 1967, 29918, 978, 297, 2897, 29889, 1761, 3972, 29898, 10145, 29918, 2382, 1125, 30004, 13, 4706, 1967, 353, 13850, 29906, 29889, 326, 949, 29898, 10145, 29918, 2382, 29974, 3027, 29918, 978, 8443, 13, 4706, 396, 2158, 29898, 3027, 29889, 12181, 8443, 13, 4706, 396, 5939, 29892, 5777, 29922, 10365, 29918, 6735, 800, 29898, 3027, 29918, 978, 29892, 1967, 29892, 957, 6984, 29922, 29900, 29889, 29946, 29900, 8443, 13, 1678, 396, 1678, 301, 29892, 29878, 353, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29898, 3027, 8443, 13, 1678, 396, 1678, 697, 29892, 1023, 353, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29898, 29880, 8443, 13, 1678, 396, 1678, 2211, 29892, 3023, 353, 16429, 29918, 2492, 29918, 8941, 29918, 10184, 29898, 29878, 8443, 13, 1678, 396, 697, 29892, 10184, 29892, 17536, 29892, 17823, 353, 16429, 29918, 2492, 29918, 8941, 29918, 17823, 29918, 2541, 29918, 957, 6984, 29898, 3027, 29892, 25457, 29918, 14506, 353, 29871, 29900, 29889, 29946, 29900, 8443, 13, 4706, 288, 29918, 29882, 353, 29871, 29900, 29889, 29896, 29945, 29936, 288, 29918, 29893, 353, 29871, 29900, 29889, 29896, 29945, 396, 10490, 438, 5348, 29931, 3301, 29903, 14445, 20614, 17714, 22530, 5300, 399, 1367, 4690, 390, 2890, 4162, 1783, 5667, 6670, 29979, 856, 30004, 13, 4706, 3855, 29896, 29892, 29939, 29906, 29892, 29939, 29941, 29892, 29939, 29946, 353, 16429, 29918, 2492, 29918, 8941, 29918, 17823, 29918, 957, 6984, 29898, 3027, 29892, 25457, 29918, 29882, 353, 288, 29918, 29882, 29892, 25457, 29918, 29893, 353, 288, 29918, 29893, 8443, 13, 4706, 13850, 29906, 29889, 326, 3539, 29898, 10145, 29918, 2382, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29896, 17969, 1642, 6173, 613, 3855, 29896, 8443, 13, 4706, 13850, 29906, 29889, 326, 3539, 29898, 10145, 29918, 2382, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29906, 17969, 1642, 6173, 613, 3855, 29906, 8443, 13, 4706, 13850, 29906, 29889, 326, 3539, 29898, 10145, 29918, 2382, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29941, 17969, 1642, 6173, 613, 3855, 29941, 8443, 13, 4706, 13850, 29906, 29889, 326, 3539, 29898, 10145, 29918, 2382, 29918, 29946, 29974, 3027, 29918, 978, 29889, 5451, 17350, 1159, 29961, 29900, 10062, 29908, 29918, 29946, 17969, 1642, 6173, 613, 3855, 29946, 8443, 13, 4706, 10365, 29918, 6735, 800, 29898, 3027, 29918, 978, 29892, 1967, 29892, 25457, 29918, 29882, 353, 288, 29918, 29882, 29892, 25457, 29918, 29893, 353, 288, 29918, 29893, 8443, 13, 1678, 6756, 13, 29937, 5215, 22889, 29889, 2272, 5317, 408, 14770, 30004, 13, 29937, 572, 29873, 29889, 5317, 29898, 1761, 29898, 3881, 29898, 29896, 29906, 8243, 518, 1990, 29918, 1761, 29918, 13492, 29889, 2798, 29898, 29875, 29897, 363, 474, 297, 3464, 29898, 29896, 29906, 29897, 1402, 2927, 543, 29890, 1159, 30004, 13, 29937, 572, 29873, 29889, 5317, 29898, 1761, 29898, 3881, 29898, 29896, 29906, 8243, 518, 1990, 29918, 1761, 29918, 29946, 29900, 29889, 2798, 29898, 29875, 29897, 363, 474, 297, 3464, 29898, 29896, 29906, 29897, 1402, 2927, 543, 29887, 1159, 30004, 13, 29937, 30004, 13, 29937, 572, 29873, 29889, 4294, 26471, 13, 2 ]

pyeem/instruments/horiba/__init__.py

drewmee/PyEEM

4

36675

<reponame>drewmee/PyEEM<filename>pyeem/instruments/horiba/__init__.py<gh_stars>1-10 from .aqualog import Aqualog from .fluorolog import Fluorolog name = "Horiba" instruments = [Aqualog, Fluorolog]

[ 1, 529, 276, 1112, 420, 29958, 29881, 3973, 17897, 29914, 19737, 29923, 12665, 29966, 9507, 29958, 2272, 29872, 331, 29914, 2611, 582, 1860, 29914, 2015, 16912, 29914, 1649, 2344, 26914, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 3166, 869, 29874, 15380, 468, 1053, 319, 15380, 468, 13, 3166, 869, 25044, 272, 1189, 1053, 2379, 29884, 272, 1189, 13, 13, 978, 353, 376, 17241, 16912, 29908, 13, 2611, 582, 1860, 353, 518, 29909, 15380, 468, 29892, 2379, 29884, 272, 1189, 29962, 13, 2 ]

Weather_Trends.py

dsllt/Udacity_DA_P1

0

113704

import pandas as pd import matplotlib.pyplot as plt import os # Set working directory os.chdir('/Users/dayanesallet/Documents/_Educação/Data Analyst Nanodegree/Weather Project/Data') # Import data PortoAlegre_temp = pd.read_csv('./PortoAlegre_Temperature_Data.csv') World_temp = pd.read_csv('./World_Temperature_Data.csv') Perth_temp = pd.read_csv('./Perth_Temperature_Data.csv') NY_temp = pd.read_csv('./NovaYORK_Temperature_Data.csv') Paris_temp = pd.read_csv('./Paris_Temperature_Data.csv') # Compute moving avarage PortoAlegre_temp_ma = PortoAlegre_temp['avg_temp'].rolling(window=7).mean() World_temp_ma = World_temp['avg_temp'].rolling(window=7).mean() Perth_temp_ma = Perth_temp['avg_temp'].rolling(window=7).mean() NY_temp_ma = NY_temp['avg_temp'].rolling(window=7).mean() Paris_temp_ma = Paris_temp['avg_temp'].rolling(window=7).mean() # Insert new column in the dataframe with the computed moving avareges PortoAlegre_temp.insert(4,'7-year Moving Avarage', PortoAlegre_temp_ma) World_temp.insert(2,'7-year Moving Avarage', World_temp_ma) Perth_temp.insert(2,'7-year Moving Avarage', Perth_temp_ma) NY_temp.insert(2,'7-year Moving Avarage', NY_temp_ma) Paris_temp.insert(2,'7-year Moving Avarage', Paris_temp_ma) # Verify NaN values PortoAlegre_temp['7-year Moving Avarage'].isnull().any() PortoAlegre_temp['7-year Moving Avarage'].isnull().sum() World_temp['7-year Moving Avarage'].isnull().any() World_temp['7-year Moving Avarage'].isnull().sum() # Plot the data # Moving Avarage Comparisson plt.plot(World_temp['year'],World_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'World') plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'Porto Alegre') plt.xlabel('Year') plt.ylabel('Moving Avarege Temperature (ºC) \n 7-year window') plt.title("Comparison of Porto Alegre and the world's \n temperature (ºC) over the years", fontweight = 'bold') plt.axis([1838,2013,7,19.5]) plt.legend() plt.grid(True) plt.savefig('Moving Avarage Comparisson',dpi = 300,bbox_inches='tight') plt.show() # Porto Alegre mean temperature variation plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['avg_temp'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.xlabel('Year') plt.ylabel('Mean Temperature (ºC)') plt.title("Mean temperature (ºC) variation in\n Porto Alegre over the years", fontweight = 'bold') plt.axis([1832,2013,16.5,20]) plt.grid(True) plt.savefig('Porto Alegre mean temperature variation',dpi = 300,bbox_inches='tight') plt.show() # Porto Alegre moving avarage temperature variation plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.xlabel('Year') plt.ylabel('Moving Avarege Temperature (ºC) \n 7-year window') plt.title("Moving avarage temperature (ºC) variation in\n Porto Alegre over the years", fontweight = 'bold') plt.axis([1832,2013,16.5,20]) plt.grid(True) plt.savefig('Porto Alegre moving avarage temperature variation',dpi = 300,bbox_inches='tight') plt.show() # World mean temperature variation plt.plot(World_temp['year'],World_temp['avg_temp'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.xlabel('Year') plt.ylabel('Mean Temperature (ºC)') plt.title("Mean temperature (ºC) variation in\n the world over the years", fontweight = 'bold') plt.axis([1750,2013,5.5,10]) plt.grid(True) plt.savefig('World mean temperature variation',dpi = 300,bbox_inches='tight') plt.show() # World moving avarage temperature variation plt.plot(World_temp['year'],World_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.xlabel('Year') plt.ylabel('Moving Avarege Temperature (ºC) \n 7-year window') plt.title("Moving avarage temperature (ºC) variation in\n the world over the years", fontweight = 'bold') plt.axis([1750,2013,6.5,10]) plt.grid(True) plt.savefig('World moving avarage temperature variation',dpi = 300,bbox_inches='tight') plt.show() # Subplot plt.figure(figsize=(6, 4)) plt.subplot(2, 1, 1) plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['avg_temp'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.title("Porto Alegre mean temperature variation", fontweight = 'bold') plt.xlabel('Year') plt.ylabel('Avarege \n Temperature (ºC)') plt.grid(True) plt.subplot(2, 1, 2) plt.plot(World_temp['year'],World_temp['avg_temp'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.title("World mean temperature variation", fontweight = 'bold') plt.xlabel('Year') plt.ylabel('Avarege \n Temperature (ºC)') plt.grid(True) plt.tight_layout() plt.savefig('Mean_Temp_POA_W',dpi = 300,bbox_inches='tight') plt.show() plt.figure(figsize=(6, 4)) plt.subplot(2, 1, 1) plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.title("Porto Alegre moving average temperature variation", fontweight = 'bold') plt.xlabel('Year') plt.ylabel('Moving Avarege \n Temperature (ºC)') plt.grid(True) plt.subplot(2, 1, 2) plt.plot(World_temp['year'],World_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1) plt.title("World moving average temperature variation", fontweight = 'bold') plt.xlabel('Year') plt.ylabel('Moving Avarege \n Temperature (ºC)') plt.grid(True) plt.tight_layout() plt.savefig('Moving_Temp_POA_W',dpi = 300,bbox_inches='tight') plt.show() # Additional computations for comparisson # avg_temp_POA = PortoAlegre_temp['avg_temp'].mean() avg_temp_World = World_temp['avg_temp'][-len(PortoAlegre_temp['year'])-2:-2].mean() diff_avg_temp = avg_temp_POA - avg_temp_World PortoAlegre_temp.corrwith(World_temp[-len(PortoAlegre_temp['year'])-2:-2]) plt.plot(PortoAlegre_temp['year'],PortoAlegre_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'Porto Alegre') plt.plot(Perth_temp['year'],Perth_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'Perth') plt.plot(Paris_temp['year'],Paris_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'Paris') plt.plot(NY_temp['year'],NY_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'New York') plt.plot(World_temp['year'],World_temp['7-year Moving Avarage'], linestyle='-', marker='o',linewidth=2, markersize=1, label = 'World') plt.xlabel('Year') plt.ylabel('Moving Avarege Temperature (ºC) \n 7-year window') plt.title("Comparison of different cities and the world's \n temperature (ºC) over the years", fontweight = 'bold') plt.axis([1838,2013,7,19.5]) plt.legend() plt.grid(True) plt.savefig('Multiple Cities Moving Avarage Comparisson',dpi = 300,bbox_inches='tight') plt.show()

[ 1, 1053, 11701, 408, 10518, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 5215, 2897, 13, 29937, 3789, 1985, 3884, 13, 359, 29889, 305, 3972, 11219, 5959, 29914, 3250, 17297, 284, 1026, 29914, 20128, 19891, 29923, 700, 29883, 562, 207, 170, 29874, 30478, 29877, 29914, 1469, 11597, 858, 25701, 356, 29887, 929, 29914, 4806, 1624, 8010, 29914, 1469, 1495, 13, 13, 29937, 16032, 848, 13, 2290, 29877, 29909, 1397, 276, 29918, 7382, 353, 10518, 29889, 949, 29918, 7638, 877, 6904, 2290, 29877, 29909, 1397, 276, 29918, 5776, 546, 1535, 29918, 1469, 29889, 7638, 1495, 13, 14058, 29918, 7382, 353, 10518, 29889, 949, 29918, 7638, 877, 6904, 14058, 29918, 5776, 546, 1535, 29918, 1469, 29889, 7638, 1495, 13, 5894, 386, 29918, 7382, 353, 10518, 29889, 949, 29918, 7638, 877, 6904, 5894, 386, 29918, 5776, 546, 1535, 29918, 1469, 29889, 7638, 1495, 13, 29940, 29979, 29918, 7382, 353, 10518, 29889, 949, 29918, 7638, 877, 6904, 29940, 4273, 29979, 1955, 29968, 29918, 5776, 546, 1535, 29918, 1469, 29889, 7638, 1495, 13, 2177, 275, 29918, 7382, 353, 10518, 29889, 949, 29918, 7638, 877, 6904, 2177, 275, 29918, 5776, 546, 1535, 29918, 1469, 29889, 7638, 1495, 13, 13, 29937, 11796, 29872, 8401, 1029, 279, 482, 13, 2290, 29877, 29909, 1397, 276, 29918, 7382, 29918, 655, 353, 24804, 29909, 1397, 276, 29918, 7382, 1839, 485, 29887, 29918, 7382, 13359, 22155, 29898, 7165, 29922, 29955, 467, 12676, 580, 13, 14058, 29918, 7382, 29918, 655, 353, 2787, 29918, 7382, 1839, 485, 29887, 29918, 7382, 13359, 22155, 29898, 7165, 29922, 29955, 467, 12676, 580, 13, 5894, 386, 29918, 7382, 29918, 655, 353, 2431, 386, 29918, 7382, 1839, 485, 29887, 29918, 7382, 13359, 22155, 29898, 7165, 29922, 29955, 467, 12676, 580, 13, 29940, 29979, 29918, 7382, 29918, 655, 353, 23526, 29918, 7382, 1839, 485, 29887, 29918, 7382, 13359, 22155, 29898, 7165, 29922, 29955, 467, 12676, 580, 13, 2177, 275, 29918, 7382, 29918, 655, 353, 3681, 29918, 7382, 1839, 485, 29887, 29918, 7382, 13359, 22155, 29898, 7165, 29922, 29955, 467, 12676, 580, 13, 13, 29937, 24505, 716, 1897, 297, 278, 12205, 411, 278, 15712, 8401, 1029, 598, 2710, 13, 2290, 29877, 29909, 1397, 276, 29918, 7382, 29889, 7851, 29898, 29946, 5501, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 742, 24804, 29909, 1397, 276, 29918, 7382, 29918, 655, 29897, 13, 14058, 29918, 7382, 29889, 7851, 29898, 29906, 5501, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 742, 2787, 29918, 7382, 29918, 655, 29897, 13, 5894, 386, 29918, 7382, 29889, 7851, 29898, 29906, 5501, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 742, 2431, 386, 29918, 7382, 29918, 655, 29897, 13, 29940, 29979, 29918, 7382, 29889, 7851, 29898, 29906, 5501, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 742, 23526, 29918, 7382, 29918, 655, 29897, 13, 2177, 275, 29918, 7382, 29889, 7851, 29898, 29906, 5501, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 742, 3681, 29918, 7382, 29918, 655, 29897, 13, 13, 29937, 1798, 1598, 18780, 1819, 13, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 13359, 275, 4304, 2141, 1384, 580, 13, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 13359, 275, 4304, 2141, 2083, 580, 13, 14058, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 13359, 275, 4304, 2141, 1384, 580, 13, 14058, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 13359, 275, 4304, 2141, 2083, 580, 13, 13, 29937, 18399, 278, 848, 13, 29937, 14104, 292, 319, 1707, 482, 28663, 17387, 13, 572, 29873, 29889, 5317, 29898, 14058, 29918, 7382, 1839, 6360, 7464, 14058, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 14058, 1495, 13, 572, 29873, 29889, 5317, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 7464, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 2290, 29877, 319, 1397, 276, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29924, 21081, 319, 5280, 479, 6789, 546, 1535, 313, 30105, 29907, 29897, 320, 29876, 29871, 29955, 29899, 6360, 3474, 1495, 13, 572, 29873, 29889, 3257, 703, 1523, 20941, 310, 24804, 319, 1397, 276, 322, 278, 3186, 29915, 29879, 320, 29876, 10430, 313, 30105, 29907, 29897, 975, 278, 2440, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 8990, 4197, 29896, 29947, 29941, 29947, 29892, 29906, 29900, 29896, 29941, 29892, 29955, 29892, 29896, 29929, 29889, 29945, 2314, 13, 572, 29873, 29889, 26172, 580, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 572, 29873, 29889, 7620, 1003, 877, 29924, 21081, 319, 1707, 482, 28663, 17387, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 29937, 24804, 319, 1397, 276, 2099, 10430, 19262, 13, 572, 29873, 29889, 5317, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 7464, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 485, 29887, 29918, 7382, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 6816, 273, 6789, 546, 1535, 313, 30105, 29907, 29897, 1495, 13, 572, 29873, 29889, 3257, 703, 6816, 273, 10430, 313, 30105, 29907, 29897, 19262, 297, 29905, 29876, 24804, 319, 1397, 276, 29871, 975, 278, 2440, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 8990, 4197, 29896, 29947, 29941, 29906, 29892, 29906, 29900, 29896, 29941, 29892, 29896, 29953, 29889, 29945, 29892, 29906, 29900, 2314, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 572, 29873, 29889, 7620, 1003, 877, 2290, 29877, 319, 1397, 276, 2099, 10430, 19262, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 29937, 24804, 319, 1397, 276, 8401, 1029, 279, 482, 10430, 19262, 13, 572, 29873, 29889, 5317, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 7464, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29924, 21081, 319, 5280, 479, 6789, 546, 1535, 313, 30105, 29907, 29897, 320, 29876, 29871, 29955, 29899, 6360, 3474, 1495, 13, 572, 29873, 29889, 3257, 703, 29924, 21081, 1029, 279, 482, 10430, 313, 30105, 29907, 29897, 19262, 297, 29905, 29876, 24804, 319, 1397, 276, 975, 278, 2440, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 8990, 4197, 29896, 29947, 29941, 29906, 29892, 29906, 29900, 29896, 29941, 29892, 29896, 29953, 29889, 29945, 29892, 29906, 29900, 2314, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 572, 29873, 29889, 7620, 1003, 877, 2290, 29877, 319, 1397, 276, 8401, 1029, 279, 482, 10430, 19262, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 29937, 2787, 2099, 10430, 19262, 13, 572, 29873, 29889, 5317, 29898, 14058, 29918, 7382, 1839, 6360, 7464, 14058, 29918, 7382, 1839, 485, 29887, 29918, 7382, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 6816, 273, 6789, 546, 1535, 313, 30105, 29907, 29897, 1495, 13, 572, 29873, 29889, 3257, 703, 6816, 273, 10430, 313, 30105, 29907, 29897, 19262, 297, 29905, 29876, 278, 3186, 975, 278, 2440, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 8990, 4197, 29896, 29955, 29945, 29900, 29892, 29906, 29900, 29896, 29941, 29892, 29945, 29889, 29945, 29892, 29896, 29900, 2314, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 572, 29873, 29889, 7620, 1003, 877, 14058, 2099, 10430, 19262, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 13, 29937, 2787, 8401, 1029, 279, 482, 10430, 19262, 13, 572, 29873, 29889, 5317, 29898, 14058, 29918, 7382, 1839, 6360, 7464, 14058, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29924, 21081, 319, 5280, 479, 6789, 546, 1535, 313, 30105, 29907, 29897, 320, 29876, 29871, 29955, 29899, 6360, 3474, 1495, 13, 572, 29873, 29889, 3257, 703, 29924, 21081, 1029, 279, 482, 10430, 313, 30105, 29907, 29897, 19262, 297, 29905, 29876, 278, 3186, 975, 278, 2440, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 8990, 4197, 29896, 29955, 29945, 29900, 29892, 29906, 29900, 29896, 29941, 29892, 29953, 29889, 29945, 29892, 29896, 29900, 2314, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 572, 29873, 29889, 7620, 1003, 877, 14058, 8401, 1029, 279, 482, 10430, 19262, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 13, 29937, 3323, 5317, 13, 572, 29873, 29889, 4532, 29898, 1003, 2311, 7607, 29953, 29892, 29871, 29946, 876, 13, 572, 29873, 29889, 1491, 5317, 29898, 29906, 29892, 29871, 29896, 29892, 29871, 29896, 29897, 13, 572, 29873, 29889, 5317, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 7464, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 485, 29887, 29918, 7382, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 3257, 703, 2290, 29877, 319, 1397, 276, 2099, 10430, 19262, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29909, 5280, 479, 320, 29876, 6789, 546, 1535, 313, 30105, 29907, 29897, 1495, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 13, 572, 29873, 29889, 1491, 5317, 29898, 29906, 29892, 29871, 29896, 29892, 29871, 29906, 29897, 13, 572, 29873, 29889, 5317, 29898, 14058, 29918, 7382, 1839, 6360, 7464, 14058, 29918, 7382, 1839, 485, 29887, 29918, 7382, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 3257, 703, 14058, 2099, 10430, 19262, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29909, 5280, 479, 320, 29876, 6789, 546, 1535, 313, 30105, 29907, 29897, 1495, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 13, 572, 29873, 29889, 29873, 523, 29918, 2680, 580, 13, 572, 29873, 29889, 7620, 1003, 877, 6816, 273, 29918, 15637, 29918, 13152, 29909, 29918, 29956, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 13, 13, 572, 29873, 29889, 4532, 29898, 1003, 2311, 7607, 29953, 29892, 29871, 29946, 876, 13, 572, 29873, 29889, 1491, 5317, 29898, 29906, 29892, 29871, 29896, 29892, 29871, 29896, 29897, 13, 572, 29873, 29889, 5317, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 7464, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 3257, 703, 2290, 29877, 319, 1397, 276, 8401, 6588, 10430, 19262, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29924, 21081, 319, 5280, 479, 320, 29876, 6789, 546, 1535, 313, 30105, 29907, 29897, 1495, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 13, 572, 29873, 29889, 1491, 5317, 29898, 29906, 29892, 29871, 29896, 29892, 29871, 29906, 29897, 13, 572, 29873, 29889, 5317, 29898, 14058, 29918, 7382, 1839, 6360, 7464, 14058, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29897, 13, 572, 29873, 29889, 3257, 703, 14058, 8401, 6588, 10430, 19262, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29924, 21081, 319, 5280, 479, 320, 29876, 6789, 546, 1535, 313, 30105, 29907, 29897, 1495, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 13, 572, 29873, 29889, 29873, 523, 29918, 2680, 580, 13, 572, 29873, 29889, 7620, 1003, 877, 29924, 21081, 29918, 15637, 29918, 13152, 29909, 29918, 29956, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 13, 13, 29937, 3462, 3245, 2912, 800, 363, 5734, 17387, 13, 29937, 13, 485, 29887, 29918, 7382, 29918, 13152, 29909, 353, 24804, 29909, 1397, 276, 29918, 7382, 1839, 485, 29887, 29918, 7382, 13359, 12676, 580, 13, 485, 29887, 29918, 7382, 29918, 14058, 353, 2787, 29918, 7382, 1839, 485, 29887, 29918, 7382, 2033, 14352, 2435, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 2033, 6817, 29906, 13018, 29906, 1822, 12676, 580, 13, 12765, 29918, 485, 29887, 29918, 7382, 353, 1029, 29887, 29918, 7382, 29918, 13152, 29909, 448, 1029, 29887, 29918, 7382, 29918, 14058, 13, 13, 2290, 29877, 29909, 1397, 276, 29918, 7382, 29889, 29725, 2541, 29898, 14058, 29918, 7382, 14352, 2435, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 2033, 6817, 29906, 13018, 29906, 2314, 13, 13, 13, 13, 13, 13, 13, 13, 13, 572, 29873, 29889, 5317, 29898, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 6360, 7464, 2290, 29877, 29909, 1397, 276, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 2290, 29877, 319, 1397, 276, 1495, 13, 572, 29873, 29889, 5317, 29898, 5894, 386, 29918, 7382, 1839, 6360, 7464, 5894, 386, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 5894, 386, 1495, 13, 572, 29873, 29889, 5317, 29898, 2177, 275, 29918, 7382, 1839, 6360, 7464, 2177, 275, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 2177, 275, 1495, 13, 572, 29873, 29889, 5317, 29898, 29940, 29979, 29918, 7382, 1839, 6360, 7464, 29940, 29979, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 4373, 3088, 1495, 13, 572, 29873, 29889, 5317, 29898, 14058, 29918, 7382, 1839, 6360, 7464, 14058, 29918, 7382, 1839, 29955, 29899, 6360, 14104, 292, 319, 1707, 482, 7464, 13, 308, 6276, 342, 1508, 2433, 29899, 742, 17456, 2433, 29877, 742, 16292, 29922, 29906, 29892, 29320, 675, 29922, 29896, 29892, 3858, 353, 525, 14058, 1495, 13, 572, 29873, 29889, 29916, 1643, 877, 12883, 1495, 13, 572, 29873, 29889, 29891, 1643, 877, 29924, 21081, 319, 5280, 479, 6789, 546, 1535, 313, 30105, 29907, 29897, 320, 29876, 29871, 29955, 29899, 6360, 3474, 1495, 13, 572, 29873, 29889, 3257, 703, 1523, 20941, 310, 1422, 14368, 322, 278, 3186, 29915, 29879, 320, 29876, 10430, 313, 30105, 29907, 29897, 975, 278, 2440, 613, 4079, 7915, 353, 525, 8934, 1495, 13, 572, 29873, 29889, 8990, 4197, 29896, 29947, 29941, 29947, 29892, 29906, 29900, 29896, 29941, 29892, 29955, 29892, 29896, 29929, 29889, 29945, 2314, 13, 572, 29873, 29889, 26172, 580, 13, 572, 29873, 29889, 7720, 29898, 5574, 29897, 13, 572, 29873, 29889, 7620, 1003, 877, 15329, 552, 315, 1907, 14104, 292, 319, 1707, 482, 28663, 17387, 742, 29881, 1631, 353, 29871, 29941, 29900, 29900, 29892, 29890, 1884, 29918, 262, 6609, 2433, 29873, 523, 1495, 13, 572, 29873, 29889, 4294, 580, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 2 ]

Server/test/__init__.py

devArtoria/-Awesome-GraphQL-

27

106947

<filename>Server/test/__init__.py<gh_stars>10-100 import unittest from config import dev from Server import create_app import json app = create_app(dev.DevConfig) class BasicTestCase(unittest.TestCase): def __init__(self, *args, **kwargs): unittest.TestCase.__init__(self, *args, **kwargs) app.testing = True self.tester = app.test_client(self) def request(self, type, call, body): query = type + " {" + call + "{" + body + "}" + "}" response = self.tester.post('/graphql', data=json.dumps({"query": query}), content_type='application/json' ) print(response.json) return dict(response.json)['data'] def _create_fake_data(self): # Create fake data pass def _get_tokens(self): response = self.request(type="mutation", call='auth(id:"{0}", password:"{1}")'.format("fake user's id", "fake user's pw"), body=''' result{ ... on AuthField{ refreshToken accessToken message } } ''') response = response['auth'] self.access_token = response['result']['accessToken'] self.refresh_token = response['result']['refreshToken'] def setUp(self): self._create_fake_data() self._get_tokens() def tearDown(self): # teardown code ex. drop tables pass

[ 1, 529, 9507, 29958, 6004, 29914, 1688, 29914, 1649, 2344, 26914, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29899, 29896, 29900, 29900, 13, 5215, 443, 27958, 13, 3166, 2295, 1053, 2906, 13, 3166, 5656, 1053, 1653, 29918, 932, 13, 5215, 4390, 13, 13, 932, 353, 1653, 29918, 932, 29898, 3359, 29889, 16618, 3991, 29897, 13, 13, 13, 1990, 19219, 3057, 8259, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 4706, 443, 27958, 29889, 3057, 8259, 17255, 2344, 12035, 1311, 29892, 334, 5085, 29892, 3579, 19290, 29897, 13, 13, 4706, 623, 29889, 13424, 353, 5852, 13, 4706, 1583, 29889, 1688, 261, 353, 623, 29889, 1688, 29918, 4645, 29898, 1311, 29897, 13, 13, 1678, 822, 2009, 29898, 1311, 29892, 1134, 29892, 1246, 29892, 3573, 1125, 13, 4706, 2346, 353, 1134, 718, 376, 8853, 718, 1246, 718, 376, 6377, 718, 3573, 718, 376, 5038, 718, 376, 5038, 13, 13, 4706, 2933, 353, 1583, 29889, 1688, 261, 29889, 2490, 11219, 4262, 1519, 742, 13, 462, 462, 1678, 848, 29922, 3126, 29889, 29881, 17204, 3319, 29908, 1972, 1115, 2346, 9594, 13, 462, 462, 1678, 2793, 29918, 1853, 2433, 6214, 29914, 3126, 29915, 13, 462, 462, 1678, 1723, 13, 13, 4706, 1596, 29898, 5327, 29889, 3126, 29897, 13, 4706, 736, 9657, 29898, 5327, 29889, 3126, 29897, 1839, 1272, 2033, 13, 13, 1678, 822, 903, 3258, 29918, 29888, 1296, 29918, 1272, 29898, 1311, 1125, 13, 4706, 396, 6204, 25713, 848, 13, 4706, 1209, 13, 13, 1678, 822, 903, 657, 29918, 517, 12360, 29898, 1311, 1125, 13, 4706, 2933, 353, 1583, 29889, 3827, 29898, 1853, 543, 6149, 362, 613, 13, 462, 18884, 1246, 2433, 5150, 29898, 333, 6160, 29912, 29900, 17671, 4800, 6160, 29912, 29896, 27195, 4286, 4830, 703, 29888, 1296, 1404, 29915, 29879, 1178, 613, 376, 29888, 1296, 1404, 29915, 29879, 282, 29893, 4968, 13, 462, 18884, 3573, 2433, 4907, 13, 462, 462, 268, 1121, 29912, 13, 462, 462, 268, 2023, 373, 13189, 3073, 29912, 13, 462, 462, 268, 11086, 6066, 13, 462, 462, 268, 2130, 6066, 13, 462, 462, 268, 2643, 13, 462, 462, 268, 500, 13, 462, 462, 268, 500, 13, 462, 462, 268, 6629, 1495, 13, 13, 4706, 2933, 353, 2933, 1839, 5150, 2033, 13, 4706, 1583, 29889, 5943, 29918, 6979, 353, 2933, 1839, 2914, 16215, 5943, 6066, 2033, 13, 4706, 1583, 29889, 22379, 29918, 6979, 353, 2933, 1839, 2914, 16215, 22379, 6066, 2033, 13, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 1583, 3032, 3258, 29918, 29888, 1296, 29918, 1272, 580, 13, 4706, 1583, 3032, 657, 29918, 517, 12360, 580, 13, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 1125, 13, 4706, 396, 734, 538, 776, 775, 429, 29889, 5768, 6131, 13, 4706, 1209, 13, 2 ]