Upload stream.py with huggingface_hub
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stream.py
CHANGED
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from copy import deepcopy
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from typing import Dict, Iterable
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from datasets import Dataset, DatasetDict, IterableDataset, IterableDatasetDict
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@@ -31,11 +30,11 @@ class Stream(Dataclass):
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"""
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if self.caching:
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return Dataset.from_generator
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def _get_stream(self):
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"""Private method to get the stream based on the initiator function.
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@@ -102,12 +101,20 @@ class MultiStream(dict):
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def to_dataset(self) -> DatasetDict:
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return DatasetDict(
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{
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)
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def to_iterable_dataset(self) -> IterableDatasetDict:
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return IterableDatasetDict(
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{
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)
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def __setitem__(self, key, value):
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@@ -116,17 +123,19 @@ class MultiStream(dict):
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super().__setitem__(key, value)
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@classmethod
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def from_generators(
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"""Creates a MultiStream from a dictionary of ReusableGenerators.
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Args:
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generators (Dict[str, ReusableGenerator]): A dictionary of ReusableGenerators.
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caching (bool, optional): Whether the data should be cached or not. Defaults to False.
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Returns:
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MultiStream: A MultiStream object.
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"""
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assert all(isinstance(v, ReusableGenerator) for v in generators.values())
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return cls(
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{
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@@ -141,17 +150,19 @@ class MultiStream(dict):
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)
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@classmethod
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def from_iterables(
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"""Creates a MultiStream from a dictionary of iterables.
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Args:
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iterables (Dict[str, Iterable]): A dictionary of iterables.
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caching (bool, optional): Whether the data should be cached or not. Defaults to False.
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Returns:
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MultiStream: A MultiStream object.
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"""
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return cls(
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{
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key: Stream(
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from typing import Dict, Iterable
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from datasets import Dataset, DatasetDict, IterableDataset, IterableDatasetDict
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"""
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if self.caching:
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return Dataset.from_generator
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+
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if self.copying:
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return CopyingReusableGenerator
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return ReusableGenerator
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def _get_stream(self):
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"""Private method to get the stream based on the initiator function.
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def to_dataset(self) -> DatasetDict:
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return DatasetDict(
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{
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key: Dataset.from_generator(self.get_generator, gen_kwargs={"key": key})
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for key in self.keys()
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}
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)
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def to_iterable_dataset(self) -> IterableDatasetDict:
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return IterableDatasetDict(
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{
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key: IterableDataset.from_generator(
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self.get_generator, gen_kwargs={"key": key}
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)
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for key in self.keys()
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}
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)
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def __setitem__(self, key, value):
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super().__setitem__(key, value)
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@classmethod
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def from_generators(
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cls, generators: Dict[str, ReusableGenerator], caching=False, copying=False
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):
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"""Creates a MultiStream from a dictionary of ReusableGenerators.
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Args:
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generators (Dict[str, ReusableGenerator]): A dictionary of ReusableGenerators.
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caching (bool, optional): Whether the data should be cached or not. Defaults to False.
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copying (bool, optional): Whether the data should be copyied or not. Defaults to False.
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Returns:
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MultiStream: A MultiStream object.
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"""
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assert all(isinstance(v, ReusableGenerator) for v in generators.values())
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return cls(
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{
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)
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@classmethod
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def from_iterables(
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cls, iterables: Dict[str, Iterable], caching=False, copying=False
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):
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"""Creates a MultiStream from a dictionary of iterables.
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Args:
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iterables (Dict[str, Iterable]): A dictionary of iterables.
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caching (bool, optional): Whether the data should be cached or not. Defaults to False.
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copying (bool, optional): Whether the data should be copyied or not. Defaults to False.
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Returns:
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MultiStream: A MultiStream object.
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"""
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return cls(
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{
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key: Stream(
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