# !/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 18 14:59:19 2018

@author: mdelvallevaro
"""

from . import frame_transformations as ft
from .quaternion import Quaternion
import numpy as np
import time

class Sky:
    """
    Class Object
    Creates n Source Objects which represent 3D points within the unit sphere
    centered in (0,0,0).
    :param n: number of stars in the sky [int]
    Attributes
    -------------
        elements: n Source objects.
    """
    def __init__(self, n):
        if type(n) is not int:
            raise TypeError('n must be a positive integer')
        self.elements = []
        for i in range(n):
            alpha = np.random.uniform(0, 2 * np.pi)
            delta = np.random.uniform(-np.pi / 2, np.pi / 2)
            self.elements.append(Source(alpha, delta))

class Source:
    """
    Defines source star by horizontal coordinate system parameters.
    :param alpha: (float): galactic longitudinal angle [rad].
    :param delta: (float): galactic altitude angle (rad),

    Attributes
    -----------
        coor (np.dnarray): unitary direction to star position.
    """

    def __init__(self, alpha, delta):
        self.alpha = alpha
        self.delta= delta
        self.coor = ft.to_direction(alpha, delta)

class Satellite:
    """
    Class Object, parent to Attitude, that represents Gaia.

    %run: epsilon = np.radians(23.26), xi = np.radians(55).

    :param S: change in the z-axis of satellite wrt solar longitudinal angle. [float]
    :param epsilon: ecliptical angle [rad]
    :param xi: revolving angle [rad]
    :param wz: z component of inertial spin vector [arcsec/s]
    :action: Sets satellite to initialization status.
    """
    def __init__(self, *args):
        self.init_parameters(*args)

    def init_parameters(self, S=4.036, epsilon=0.40596, xi=0.95993, wz=120):

        if type(S) not in [int, float]:
            raise TypeError('S must be float or int')
        if type(xi) not in [int, float]:
            raise TypeError('xi must be float or int')
        if epsilon > np.pi/2:
            raise Warning('Value epsilon larger than expected, check units are in radians')
        if type(wz) not in [int, float]:
            raise TypeError('wz must be float or int non-negative')

        self.S = S
        self.epsilon = epsilon
        self.xi = xi
        self.wz = wz * 60 * 60 * 24. * 0.0000048481368110954  # to[rad/day]
        self.ldot = 2 * np.pi / 365     #[rad/day]

class Attitude(Satellite):
    """
    Child class to Satellite.
    """
    def __init__(self):
        Satellite.__init__(self)
        self.init_state()
        self.storage = []

    def init_state(self):
        """
        :return: initial status of satellite
        """
        self.t = 0
        self._lambda = 0
        self._beta = 0
        self.nu = 0
        self.omega = 0

        self.l, self.j, self.k = ft.ljk(self.epsilon)

        self.s = self.l*np.cos(self._lambda) + self.j*np.sin(self._lambda)

        self.attitude = self.init_attitude()

        self.z = (self.attitude * Quaternion(0,0,0,1)*self.attitude.conjugate()).to_vector()
        self.x = (self.attitude * Quaternion(0,1,0,0)*self.attitude.conjugate()).to_vector()
        self.w = np.cross(np.array([0, 0, 1]), self.z)

    def init_attitude(self):
        """
        :return: quaternion equivalent to initialization of satellite
        """
        q1 = Quaternion(np.cos(self.epsilon/2), np.sin(self.epsilon/2), 0, 0)
        q2 = Quaternion(np.cos(self._lambda/2), 0, 0, np.sin(self._lambda/2))
        q3 = Quaternion(np.cos((self.nu - (np.pi/2.))/2), np.sin((self.nu - (np.pi/2.)) / 2), 0, 0)
        q4 = Quaternion(np.cos((np.pi / 2. - self.xi)/2), 0, np.sin((np.pi/2. - self.xi)/2), 0)
        q5 = Quaternion(np.cos(self.omega/2.), 0, 0, np.sin(self.omega/2.))

        q_total = q1*q2*q3*q4*q5
        return q_total

    def reset(self):
        """
        :return: reset satellite to initialization status
        """
        self.init_state()
        self.storage.clear()

    def update(self, dt):
        """
        :param dt: time step to calculate derivatibles of functions
        :return: update value of functions for next moment in time by calculating their infinitesimal change in dt
        """
        self.t = self.t + dt
        dL = self.ldot * dt
        self._lambda = self._lambda + dL

        nu_dot = (self.ldot/np.sin(self.xi))*(np.sqrt(self.S**2 - np.cos(self.nu)**2)
                                                + np.cos(self.xi)*np.sin(self.nu))
        d_nu = nu_dot * dt
        self.nu = self.nu + d_nu

        self.lamb_z = self._lambda + np.arctan2(np.tan(self.xi) * np.cos(self.nu), 1)
        self.beta_z = np.arcsin(np.sin(self.xi) * np.sin(self.nu))

        omega_dot = self.wz - nu_dot * np.cos(self.xi) - self.ldot * np.sin(self.xi) * np.sin(self.nu)
        d_omega = omega_dot * dt
        self.omega = self.omega + d_omega

        self.s = self.l * np.cos(self._lambda) + self.j * np.sin(self._lambda)

        z_dot = np.cross(self.k, self.z) * self.ldot + np.cross(self.s, self.z) * nu_dot
        dz = z_dot * dt
        self.z = self.z + dz
        self.z = self.z/np.linalg.linalg.norm(self.z)

        self.w = self.k * self.ldot + self.s * nu_dot + self.z * omega_dot

        #change attitude by deltaquat
        w_magnitude = np.linalg.norm(self.w)
        d_zheta = w_magnitude * dt
        delta_quat = ft.rotation_to_quat(self.w, d_zheta/2.) # w is not in bcrs frame.
        self.attitude = delta_quat * self.attitude

        # x axis rotates through quaternion multiplication
        x_quat = Quaternion(0, self.x[0], self.x[1], self.x[2])
        x_quat = delta_quat* x_quat* delta_quat.conjugate()
        self.x = x_quat.to_vector()

    def long_reset_to_time(self, t, dt):
        # this is slowing down create_storage but it is very exact.
        # Another way to do it would be if functions in attitude.update where analytical.
        '''
        Resets satellite to time t, along with all the parameters corresponding to that time.
        Args:
            t (float): time from J2000 [days]
        '''
        self.init_state()
        n_steps = t/dt
        for i in np.arange(n_steps):
            self.update(dt)

    def short_reset_to_time(self, t):

        temp_list = [obj for obj in self.storage if obj[0] <= t]
        list_element = temp_list[0]
        self.t = list_element[0]
        self.w = list_element[1]
        self.z = list_element[2]
        self.x = list_element[3]
        self.attitude = list_element[4]
        self.lamb_z = list_element[5]
        self.beta_z = list_element[6]
        self.s = list_element[7]

    def create_storage(self, ti, tf, dt):
        '''
        Creates data necessary for step numerical methods performed in builtin method .update()
        Args:
            ti (float): integrating time lower limit [days]
            tf (float): integrating time upper limit [days]
            dt (float): step discretness of integration.
        Notes:
            stored in: attitude.storage
        '''
        if len(self.storage) == 0:
            ti = ti
        if len(self.storage) != 0:
            self.short_reset_to_time(ti)
        n_steps = (tf - ti) / dt
        for i in np.arange(n_steps):
            self.update(dt)
            self.storage.append([self.t, self.w, self.z,
                                 self.x, self.attitude, self.lamb_z,
                                 self.beta_z, self.s])

        self.storage.sort(key=lambda x: x[0])

class Scanner:
    """
    :param ccd: width of the telescope field of view [float]
    :param delta_z: height of the telescope field of view [float]
    :param delta_y: width of the line of intercept [float]

    Attributes
    -----------
    :times_to_scan_star: times where star within CCD field of view. [list of floats]
    :obs_times: times from J2000 at which the star is inside of the line of intercept. [list of floats]
    :telescope_positions: position of the scaner x-axis at each of obs_times. [list of arrays]
    """

    def __init__(self, ccd = 0.08, delta_z = 0.05 , delta_y = 0.01):
        self.delta_z = delta_z
        self.delta_y = delta_y
        self.ccd = ccd

        if type(self.delta_z) not in [int, float]:
            raise TypeError('self.delta_z must be float or int')
        if type(self.delta_y) not in [int, float]:
            raise TypeError('self.delta_y must be float or int')
        if type(self.ccd) not in [int, float]:
            raise TypeError('self.ccd must be float or int')

        #create storage
        self.obs_times = []
        self.telescope_positions = []
        self.times_deep_scan = []

    def reset_memory(self):
        """
        :return: empty all attribute lists from scanner before beginning new scanning period.
        """
        self.obs_times.clear()
        self.telescope_positions.clear()
        self.times_deep_scan.clear()

    def intercept(self, att, star, line = False):
        """
        :param star: source object.
        :param attitude: contains storage list.
        :return: populates scanner.times_to_scan list, before deep_scan is executed.
        """
        for obj in att.storage:
            t = obj[0]
            x_telescope1 = obj[3]
            attitude = obj[4]

            x_srs_telescope1 = ft.to_xyz(attitude, x_telescope1)
            star_coor_srs = ft.to_xyz(attitude, star.coor)

            xy_proy_star_srs = np.array([star_coor_srs[0], star_coor_srs[1], 0])
            xz_proy_star_srs = np.array([star_coor_srs[0], 0, star_coor_srs[2]])

            width_angle = 2 * np.arctan2(self.ccd/2, x_srs_telescope1[0])
            height_angle = 2 * np.arctan2(self.delta_z/2, x_srs_telescope1[0])

            width_star = np.arctan2(xy_proy_star_srs[1], xy_proy_star_srs[0])
            height_star = np.arctan2(xz_proy_star_srs[2], xz_proy_star_srs[0])

            if np.abs(width_star) < width_angle:
                if np.abs(height_star) < height_angle:
                    if line == True:
                        if np.abs(star_coor_srs[1] - x_srs_telescope1[1]) < self.delta_y:
                            self.obs_times.append(t)
                            self.telescope_positions.append(ft.to_lmn(attitude, x_srs_telescope1))
                    else:
                        self.times_deep_scan.append(t)
                        self.times_deep_scan.sort()

        print('times intercepted:', len(self.times_deep_scan))

    def deep_scan(self, att, star, deep_dt=0.0001):

        """
        Increases precision of satellite at points where source is intercept by scanner in the CCD.
        :param: attitude: attitude class.
        :param satellite: satellite object.
        :param deep_dt: new step dt fur higher numerical method precision.
        """
        for t in self.times_deep_scan:
            att.short_reset_to_time(t)
            att.create_storage(t - 0.2, t + 0.2, deep_dt)

        self.intercept(att, star, line = True)


def star_finder(att, sky, scanner):
    """
    Finds times at which source transit CCD line of scanner and estimates their position in the BCRS frame.
    :param sky: object
    :param att:object
    :param scanner: object
    :return: scanner.star_positions, scanner.obs_times.
    """
    for star in sky.elements:
        scanner.reset_memory()
        scanner.intercept(att, star)
        if len(scanner.times_deep_scan) != 0:
            scanner.deep_scan(att, star)

def run():
    """
    :param days: number of days to run
    :param dt: time step
    :return: sky, scan, att
    """
    start_time = time.time()

    sky = Sky(1)
    scan = Scanner()
    att = Attitude()
    att.create_storage(0, 365*5, 0.1)
    star_finder(att, sky, scan)

    seconds = time.time() - start_time
    
    print('seconds:', seconds)
    print('star measurements:', len(scan.telescope_positions))
    
    return att, sky, scan

# !/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 18 14:59:19 2018

@author: mdelvallevaro
"""

from . import frame_transformations as ft
from .quaternion import Quaternion
import numpy as np
import time

class Sky:
    """
    Class Object
    Creates n Source Objects which represent 3D points within the unit sphere
    centered in (0,0,0).
    :param n: number of stars in the sky [int]
    Attributes
    -------------
        elements: n Source objects.
    """
    def __init__(self, n):
        if type(n) is not int:
            raise TypeError('n must be a positive integer')
        self.elements = []
        for i in range(n):
            alpha = np.random.uniform(0, 2 * np.pi)
            delta = np.random.uniform(-np.pi / 2, np.pi / 2)
            self.elements.append(Source(alpha, delta))

class Source:
    """
    Defines source star by horizontal coordinate system parameters.
    :param alpha: (float): galactic longitudinal angle [rad].
    :param delta: (float): galactic altitude angle (rad),

    Attributes
    -----------
        coor (np.dnarray): unitary direction to star position.
    """

    def __init__(self, alpha, delta):
        self.alpha = alpha
        self.delta= delta
        self.coor = ft.to_direction(alpha, delta)

class Satellite:
    """
    Class Object, parent to Attitude, that represents Gaia.

    %run: epsilon = np.radians(23.26), xi = np.radians(55).

    :param S: change in the z-axis of satellite wrt solar longitudinal angle. [float]
    :param epsilon: ecliptical angle [rad]
    :param xi: revolving angle [rad]
    :param wz: z component of inertial spin vector [arcsec/s]
    :action: Sets satellite to initialization status.
    """
    def __init__(self, *args):
        self.init_parameters(*args)

    def init_parameters(self, S=4.036, epsilon=0.40596, xi=0.95993, wz=120):

        if type(S) not in [int, float]:
            raise TypeError('S must be float or int')
        if type(xi) not in [int, float]:
            raise TypeError('xi must be float or int')
        if epsilon > np.pi/2:
            raise Warning('Value epsilon larger than expected, check units are in radians')
        if type(wz) not in [int, float]:
            raise TypeError('wz must be float or int non-negative')

        self.S = S
        self.epsilon = epsilon
        self.xi = xi
        self.wz = wz * 60 * 60 * 24. * 0.0000048481368110954  # to[rad/day]
        self.ldot = 2 * np.pi / 365     #[rad/day]

class Attitude(Satellite):
    """
    Child class to Satellite.
    """
    def __init__(self):
        Satellite.__init__(self)
        self.init_state()
        self.storage = []

    def init_state(self):
        """
        :return: initial status of satellite
        """
        self.t = 0
        self._lambda = 0
        self._beta = 0
        self.nu = 0
        self.omega = 0

        self.l, self.j, self.k = ft.ljk(self.epsilon)

        self.s = self.l*np.cos(self._lambda) + self.j*np.sin(self._lambda)

        self.attitude = self.init_attitude()

        self.z = (self.attitude * Quaternion(0,0,0,1)*self.attitude.conjugate()).to_vector()
        self.x = (self.attitude * Quaternion(0,1,0,0)*self.attitude.conjugate()).to_vector()
        self.w = np.cross(np.array([0, 0, 1]), self.z)

    def init_attitude(self):
        """
        :return: quaternion equivalent to initialization of satellite
        """
        q1 = Quaternion(np.cos(self.epsilon/2), np.sin(self.epsilon/2), 0, 0)
        q2 = Quaternion(np.cos(self._lambda/2), 0, 0, np.sin(self._lambda/2))
        q3 = Quaternion(np.cos((self.nu - (np.pi/2.))/2), np.sin((self.nu - (np.pi/2.)) / 2), 0, 0)
        q4 = Quaternion(np.cos((np.pi / 2. - self.xi)/2), 0, np.sin((np.pi/2. - self.xi)/2), 0)
        q5 = Quaternion(np.cos(self.omega/2.), 0, 0, np.sin(self.omega/2.))

        q_total = q1*q2*q3*q4*q5
        return q_total

    def reset(self):
        """
        :return: reset satellite to initialization status
        """
        self.init_state()
        self.storage.clear()

    def update(self, dt):
        """
        :param dt: time step to calculate derivatibles of functions
        :return: update value of functions for next moment in time by calculating their infinitesimal change in dt
        """
        self.t = self.t + dt
        dL = self.ldot * dt
        self._lambda = self._lambda + dL

        nu_dot = (self.ldot/np.sin(self.xi))*(np.sqrt(self.S**2 - np.cos(self.nu)**2)
                                                + np.cos(self.xi)*np.sin(self.nu))
        d_nu = nu_dot * dt
        self.nu = self.nu + d_nu

        self.lamb_z = self._lambda + np.arctan2(np.tan(self.xi) * np.cos(self.nu), 1)
        self.beta_z = np.arcsin(np.sin(self.xi) * np.sin(self.nu))

        omega_dot = self.wz - nu_dot * np.cos(self.xi) - self.ldot * np.sin(self.xi) * np.sin(self.nu)
        d_omega = omega_dot * dt
        self.omega = self.omega + d_omega

        self.s = self.l * np.cos(self._lambda) + self.j * np.sin(self._lambda)

        z_dot = np.cross(self.k, self.z) * self.ldot + np.cross(self.s, self.z) * nu_dot
        dz = z_dot * dt
        self.z = self.z + dz
        self.z = self.z/np.linalg.linalg.norm(self.z)

        self.w = self.k * self.ldot + self.s * nu_dot + self.z * omega_dot

        #change attitude by deltaquat
        w_magnitude = np.linalg.norm(self.w)
        d_zheta = w_magnitude * dt
        delta_quat = ft.rotation_to_quat(self.w, d_zheta/2.) # w is not in bcrs frame.
        self.attitude = delta_quat * self.attitude

        # x axis rotates through quaternion multiplication
        x_quat = Quaternion(0, self.x[0], self.x[1], self.x[2])
        x_quat = delta_quat* x_quat* delta_quat.conjugate()
        self.x = x_quat.to_vector()

    def long_reset_to_time(self, t, dt):
        # this is slowing down create_storage but it is very exact.
        # Another way to do it would be if functions in attitude.update where analytical.
        '''
        Resets satellite to time t, along with all the parameters corresponding to that time.
        Args:
            t (float): time from J2000 [days]
        '''
        self.init_state()
        n_steps = t/dt
        for i in np.arange(n_steps):
            self.update(dt)

    def short_reset_to_time(self, t):

        temp_list = [obj for obj in self.storage if obj[0] <= t]
        list_element = temp_list[0]
        self.t = list_element[0]
        self.w = list_element[1]
        self.z = list_element[2]
        self.x = list_element[3]
        self.attitude = list_element[4]
        self.lamb_z = list_element[5]
        self.beta_z = list_element[6]
        self.s = list_element[7]

    def create_storage(self, ti, tf, dt):
        '''
        Creates data necessary for step numerical methods performed in builtin method .update()
        Args:
            ti (float): integrating time lower limit [days]
            tf (float): integrating time upper limit [days]
            dt (float): step discretness of integration.
        Notes:
            stored in: attitude.storage
        '''
        if len(self.storage) == 0:
            ti = ti
        if len(self.storage) != 0:
            self.short_reset_to_time(ti)
        n_steps = (tf - ti) / dt
        for i in np.arange(n_steps):
            self.update(dt)
            self.storage.append([self.t, self.w, self.z,
                                 self.x, self.attitude, self.lamb_z,
                                 self.beta_z, self.s])

        self.storage.sort(key=lambda x: x[0])

class Scanner:
    """
    :param ccd: width of the telescope field of view [float]
    :param delta_z: height of the telescope field of view [float]
    :param delta_y: width of the line of intercept [float]

    Attributes
    -----------
    :times_to_scan_star: times where star within CCD field of view. [list of floats]
    :obs_times: times from J2000 at which the star is inside of the line of intercept. [list of floats]
    :telescope_positions: position of the scaner x-axis at each of obs_times. [list of arrays]
    """

    def __init__(self, ccd = 0.08, delta_z = 0.05 , delta_y = 0.01):
        self.delta_z = delta_z
        self.delta_y = delta_y
        self.ccd = ccd

        if type(self.delta_z) not in [int, float]:
            raise TypeError('self.delta_z must be float or int')
        if type(self.delta_y) not in [int, float]:
            raise TypeError('self.delta_y must be float or int')
        if type(self.ccd) not in [int, float]:
            raise TypeError('self.ccd must be float or int')

        #create storage
        self.obs_times = []
        self.telescope_positions = []
        self.times_deep_scan = []

    def reset_memory(self):
        """
        :return: empty all attribute lists from scanner before beginning new scanning period.
        """
        self.obs_times.clear()
        self.telescope_positions.clear()
        self.times_deep_scan.clear()

    def intercept(self, att, star, line = False):
        """
        :param star: source object.
        :param attitude: contains storage list.
        :return: populates scanner.times_to_scan list, before deep_scan is executed.
        """
        for obj in att.storage:
            t = obj[0]
            x_telescope1 = obj[3]
            attitude = obj[4]

            x_srs_telescope1 = ft.to_xyz(attitude, x_telescope1)
            star_coor_srs = ft.to_xyz(attitude, star.coor)

            xy_proy_star_srs = np.array([star_coor_srs[0], star_coor_srs[1], 0])
            xz_proy_star_srs = np.array([star_coor_srs[0], 0, star_coor_srs[2]])

            width_angle = 2 * np.arctan2(self.ccd/2, x_srs_telescope1[0])
            height_angle = 2 * np.arctan2(self.delta_z/2, x_srs_telescope1[0])

            width_star = np.arctan2(xy_proy_star_srs[1], xy_proy_star_srs[0])
            height_star = np.arctan2(xz_proy_star_srs[2], xz_proy_star_srs[0])

            if np.abs(width_star) < width_angle:
                if np.abs(height_star) < height_angle:
                    if line == True:
                        if np.abs(star_coor_srs[1] - x_srs_telescope1[1]) < self.delta_y:
                            self.obs_times.append(t)
                            self.telescope_positions.append(ft.to_lmn(attitude, x_srs_telescope1))
                    else:
                        self.times_deep_scan.append(t)
                        self.times_deep_scan.sort()

        print('times intercepted:', len(self.times_deep_scan))

    def deep_scan(self, att, star, deep_dt=0.0001):

        """
        Increases precision of satellite at points where source is intercept by scanner in the CCD.
        :param: attitude: attitude class.
        :param satellite: satellite object.
        :param deep_dt: new step dt fur higher numerical method precision.
        """
        for t in self.times_deep_scan:
            att.short_reset_to_time(t)
            att.create_storage(t - 0.2, t + 0.2, deep_dt)

        self.intercept(att, star, line = True)


def star_finder(att, sky, scanner):
    """
    Finds times at which source transit CCD line of scanner and estimates their position in the BCRS frame.
    :param sky: object
    :param att:object
    :param scanner: object
    :return: scanner.star_positions, scanner.obs_times.
    """
    for star in sky.elements:
        scanner.reset_memory()
        scanner.intercept(att, star)
        if len(scanner.times_deep_scan) != 0:
            scanner.deep_scan(att, star)

def run():
    """
    :param days: number of days to run
    :param dt: time step
    :return: sky, scan, att
    """
    start_time = time.time()

    sky = Sky(1)
    scan = Scanner()
    att = Attitude()
    att.create_storage(0, 365*5, 0.1)
    star_finder(att, sky, scan)

    seconds = time.time() - start_time
    
    print('seconds:', seconds)
    print('star measurements:', len(scan.telescope_positions))
    
    return att, sky, scan

# !/usr/bin/env python3 # -*- coding: utf-8 -*- Created on Mon Jun 18 14:59:19 2018  @author: mdelvallevaro Class Object     Creates n Source Objects which represent 3D points within the unit sphere     centered in (0,0,0).     :param n: number of stars in the sky [int]     Attributes     -------------         elements: n Source objects. Defines source star by horizontal coordinate system parameters.     :param alpha: (float): galactic longitudinal angle [rad].     :param delta: (float): galactic altitude angle (rad),      Attributes     -----------         coor (np.dnarray): unitary direction to star position. Class Object, parent to Attitude, that represents Gaia.      %run: epsilon = np.radians(23.26), xi = np.radians(55).      :param S: change in the z-axis of satellite wrt solar longitudinal angle. [float]     :param epsilon: ecliptical angle [rad]     :param xi: revolving angle [rad]     :param wz: z component of inertial spin vector [arcsec/s]     :action: Sets satellite to initialization status. # to[rad/day] #[rad/day] Child class to Satellite. :return: initial status of satellite :return: quaternion equivalent to initialization of satellite :return: reset satellite to initialization status :param dt: time step to calculate derivatibles of functions         :return: update value of functions for next moment in time by calculating their infinitesimal change in dt #change attitude by deltaquat # w is not in bcrs frame. # x axis rotates through quaternion multiplication # this is slowing down create_storage but it is very exact. # Another way to do it would be if functions in attitude.update where analytical. Resets satellite to time t, along with all the parameters corresponding to that time.         Args:             t (float): time from J2000 [days] Creates data necessary for step numerical methods performed in builtin method .update()         Args:             ti (float): integrating time lower limit [days]             tf (float): integrating time upper limit [days]             dt (float): step discretness of integration.         Notes:             stored in: attitude.storage :param ccd: width of the telescope field of view [float]     :param delta_z: height of the telescope field of view [float]     :param delta_y: width of the line of intercept [float]      Attributes     -----------     :times_to_scan_star: times where star within CCD field of view. [list of floats]     :obs_times: times from J2000 at which the star is inside of the line of intercept. [list of floats]     :telescope_positions: position of the scaner x-axis at each of obs_times. [list of arrays] #create storage :return: empty all attribute lists from scanner before beginning new scanning period. :param star: source object.         :param attitude: contains storage list.         :return: populates scanner.times_to_scan list, before deep_scan is executed. Increases precision of satellite at points where source is intercept by scanner in the CCD.         :param: attitude: attitude class.         :param satellite: satellite object.         :param deep_dt: new step dt fur higher numerical method precision. Finds times at which source transit CCD line of scanner and estimates their position in the BCRS frame.     :param sky: object     :param att:object     :param scanner: object     :return: scanner.star_positions, scanner.obs_times. :param days: number of days to run     :param dt: time step     :return: sky, scan, att