Upload split_utils.py with huggingface_hub
Browse files- split_utils.py +34 -32
split_utils.py
CHANGED
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import itertools
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import re
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from typing import Dict
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@@ -8,8 +9,7 @@ from .stream import Stream
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def parse_random_mix_string(input_str):
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"""
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Parses a string of format "source1[percentage1%]+source2[value2]+..." and returns a dictionary.
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Args:
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input_str (str): A string containing source names and their respective proportions. The format is
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@@ -28,23 +28,27 @@ def parse_random_mix_string(input_str):
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>>> parse_random_mix_string("dale[90%]+oren[0.7]+mike")
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{'dale': 0.9, 'oren': 0.7, 'mike': 1.0}
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"""
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-
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raise ValueError(f"Invalid input format for split '{input_str}'")
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pattern = re.compile(r"([a-zA-Z]+)(\[\d*\.?\d*%?\])?")
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matches = pattern.findall(input_str)
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return {
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name: float(value.strip("[]%")) / 100
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for name, value in matches
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}
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def parse_slices_string(input_str):
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"""
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{"source1": [(value1,value2)], "source2": [(value2, None)], "source3": [(None,None)]...}
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If a source appears multiple times with different indices, all index pairs are included in the list.
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@@ -65,7 +69,6 @@ def parse_slices_string(input_str):
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>>> parse_slices_string("oren[:50]+jake[24:]+test+oren[5:10]")
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{'oren': [(None, 50), (5, 10)], 'jake': [(24, None)], 'test': [(None, None)]}
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"""
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-
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result_dict = {}
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# Split the input string into a list of sources
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@@ -82,7 +85,9 @@ def parse_slices_string(input_str):
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name = source
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start = end = None
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else:
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raise ValueError(
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if name not in result_dict:
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result_dict[name] = [(start, end)]
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@@ -100,14 +105,12 @@ def slice_stream(stream, start, end):
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if end is not None:
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stream = itertools.islice(stream, end)
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-
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yield item
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# return stream
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def slice_streams(input_streams, mapping):
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"""
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Slices multiple input streams according to a mapping and chains the results together.
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Args:
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input_streams (dict): A dictionary where the keys are the names of the input streams
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@@ -129,12 +132,13 @@ def slice_streams(input_streams, mapping):
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>>> slice_streams(old_streams, mapping)
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{"new_train": [1, 2, 3, 4, 5, 8, 9], "new_test": [12, 13, 14]}
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"""
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new_streams = {}
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for new_stream, sources in mapping.items():
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def generator(new_stream, sources):
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for old_stream, slices in sources.items():
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old_stream_content = input_streams[old_stream]
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for start, end in slices:
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yield from slice_stream(old_stream_content, start, end)
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@@ -147,8 +151,7 @@ def slice_streams(input_streams, mapping):
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def build_stream_routing(mapping):
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"""
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Builds the stream mapping dictionary based on the provided mapping.
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The stream mapping dictionary represents the mapping of old streams to new streams
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and their respective probabilities. It ensures that the probabilities for each old stream
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@@ -176,16 +179,15 @@ def build_stream_routing(mapping):
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}
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}
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stream_mapping = build_stream_mapping(mapping)
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# Output: {'my_old_stream1': (['my_new_stream', 'my_new_stream2'], [0.6, 0.4]),
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# 'my_old_stream2': (['my_new_stream', 'my_new_stream2'], [0.2, 0.8])}
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"""
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-
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stream_mapping = {}
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# Calculate total weight for each old stream
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total_weights = {}
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for
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for old_stream, weight in old_streams.items():
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if old_stream not in total_weights:
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total_weights[old_stream] = weight
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@@ -203,13 +205,12 @@ def build_stream_routing(mapping):
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if total_weights[old_stream] < 1:
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stream_mapping[old_stream][None] = 1 - total_weights[old_stream]
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-
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return stream_mapping
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def rename_split(input_streams: Dict[str, Stream], mapping: Dict[str, str]):
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"""
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Args:
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input_streams (dict): A dictionary containing the input streams, where each key is
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the name of the stream and the value is an iterable or generator
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@@ -219,11 +220,14 @@ def rename_split(input_streams: Dict[str, Stream], mapping: Dict[str, str]):
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Returns:
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dict: A dictionary containing the generated new streams, where each key is the name
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return {mapping.get(key, key): val for key, val in input_streams.items()}
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def random_mix_generator(
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for old_stream_name in new_stream_sources:
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optinal_streams, weights = stream_routing[old_stream_name]
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with nested_seed(old_stream_name) as rand:
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@@ -237,8 +241,7 @@ def random_mix_generator(new_stream_name, new_stream_sources, stream_routing, in
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def random_mix_streams(input_streams, mapping):
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"""
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Creates new streams based on the provided input streams and mapping.
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The create_streams function generates new streams by selectively including items from
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the old streams based on the specified mapping. Each item will be included in at most
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@@ -273,11 +276,10 @@ def random_mix_streams(input_streams, mapping):
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}
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new_streams = create_streams(input_streams, mapping)
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for new_stream_name, new_stream in new_streams.items():
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for _, item in zip(range(10), new_stream):
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-
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"""
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new_streams = {}
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# Build stream routing
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if __name__ == "__main__":
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-
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import itertools
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import logging
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import re
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from typing import Dict
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def parse_random_mix_string(input_str):
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"""Parses a string of format "source1[percentage1%]+source2[value2]+..." and returns a dictionary.
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Args:
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input_str (str): A string containing source names and their respective proportions. The format is
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>>> parse_random_mix_string("dale[90%]+oren[0.7]+mike")
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{'dale': 0.9, 'oren': 0.7, 'mike': 1.0}
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"""
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if not re.fullmatch(
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r"(([a-zA-Z]+\[\d*\.?\d*%?\]|[a-zA-Z]+)\+)*([a-zA-Z]+\[\d*\.?\d*%?\]|[a-zA-Z]+)",
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input_str,
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):
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raise ValueError(f"Invalid input format for split '{input_str}'")
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pattern = re.compile(r"([a-zA-Z]+)(\[\d*\.?\d*%?\])?")
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matches = pattern.findall(input_str)
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return {
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name: float(value.strip("[]%")) / 100
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if "%" in value
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else (float(value.strip("[]")) if value else 1.0)
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for name, value in matches
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}
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def parse_slices_string(input_str):
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"""Parses a string of format "source1[value1:value2] + source2[value2:] + source3 + ..." and returns a dictionary.
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{"source1": [(value1,value2)], "source2": [(value2, None)], "source3": [(None,None)]...}.
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If a source appears multiple times with different indices, all index pairs are included in the list.
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>>> parse_slices_string("oren[:50]+jake[24:]+test+oren[5:10]")
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{'oren': [(None, 50), (5, 10)], 'jake': [(24, None)], 'test': [(None, None)]}
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"""
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result_dict = {}
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# Split the input string into a list of sources
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name = source
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start = end = None
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else:
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raise ValueError(
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f'The input string "{input_str}" is not in the correct format.'
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)
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if name not in result_dict:
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result_dict[name] = [(start, end)]
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if end is not None:
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stream = itertools.islice(stream, end)
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yield from stream
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# return stream
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def slice_streams(input_streams, mapping):
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"""Slices multiple input streams according to a mapping and chains the results together.
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Args:
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input_streams (dict): A dictionary where the keys are the names of the input streams
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>>> slice_streams(old_streams, mapping)
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{"new_train": [1, 2, 3, 4, 5, 8, 9], "new_test": [12, 13, 14]}
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"""
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new_streams = {}
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for new_stream, sources in mapping.items():
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def generator(new_stream, sources):
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for old_stream, slices in sources.items():
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if old_stream not in input_streams:
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raise ValueError(f"'{old_stream}' is not available in input stream")
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old_stream_content = input_streams[old_stream]
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for start, end in slices:
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yield from slice_stream(old_stream_content, start, end)
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def build_stream_routing(mapping):
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"""Builds the stream mapping dictionary based on the provided mapping.
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The stream mapping dictionary represents the mapping of old streams to new streams
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and their respective probabilities. It ensures that the probabilities for each old stream
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}
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}
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stream_mapping = build_stream_mapping(mapping)
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logging.info(stream_mapping)
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# Output: {'my_old_stream1': (['my_new_stream', 'my_new_stream2'], [0.6, 0.4]),
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# 'my_old_stream2': (['my_new_stream', 'my_new_stream2'], [0.2, 0.8])}
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"""
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stream_mapping = {}
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# Calculate total weight for each old stream
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total_weights = {}
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for _new_stream, old_streams in mapping.items():
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for old_stream, weight in old_streams.items():
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if old_stream not in total_weights:
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total_weights[old_stream] = weight
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if total_weights[old_stream] < 1:
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stream_mapping[old_stream][None] = 1 - total_weights[old_stream]
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return {k: (list(v.keys()), list(v.values())) for k, v in stream_mapping.items()}
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def rename_split(input_streams: Dict[str, Stream], mapping: Dict[str, str]):
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"""Renames the streams.
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Args:
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input_streams (dict): A dictionary containing the input streams, where each key is
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the name of the stream and the value is an iterable or generator
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Returns:
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dict: A dictionary containing the generated new streams, where each key is the name
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of the new stream and the value is a generator representing the stream.
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"""
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return {mapping.get(key, key): val for key, val in input_streams.items()}
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def random_mix_generator(
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new_stream_name, new_stream_sources, stream_routing, input_streams
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):
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for old_stream_name in new_stream_sources:
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optinal_streams, weights = stream_routing[old_stream_name]
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with nested_seed(old_stream_name) as rand:
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def random_mix_streams(input_streams, mapping):
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"""Creates new streams based on the provided input streams and mapping.
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The create_streams function generates new streams by selectively including items from
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the old streams based on the specified mapping. Each item will be included in at most
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}
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new_streams = create_streams(input_streams, mapping)
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for new_stream_name, new_stream in new_streams.items():
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logging.info(f"{new_stream_name}:")
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for _, item in zip(range(10), new_stream):
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logging.info(item)
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"""
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new_streams = {}
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# Build stream routing
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if __name__ == "__main__":
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logging.info(parse_random_mix_string("dale[90%]+oren[0.7]+mike"))
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