Upload fusion.py with huggingface_hub
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fusion.py
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from typing import List, Optional
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from .
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from .
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from .
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from .
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from typing import List, Optional, Generator
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from dataclasses import asdict
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import random
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from abc import abstractmethod
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from .stream import MultiStream, Stream
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from .operator import SourceOperator, StreamSource
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from .card import TaskCard, ICLCard
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from .common import CommonRecipe
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class BaseFusion(SourceOperator):
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"""
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BaseFusion operator that combines multiple streams into one.
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Args:
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include_splits: List of splits to include. If None, all splits are included.
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"""
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include_splits: Optional[List[str]] = None
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@abstractmethod
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def fusion_generator(self, split) -> Generator:
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pass
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def splits(self) -> Generator:
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splits = []
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for origin in self.origins:
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for s in origin().keys():
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if s not in splits:
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if self.include_splits is None or s in self.include_splits:
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splits.append(s)
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return splits
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def process(self, ) -> MultiStream:
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result = {}
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for split in self.splits():
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result[split] = Stream(self.fusion_generator, gen_kwargs={'split': split})
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return MultiStream(result)
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class FixedFusion(BaseFusion):
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"""
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FixedFusion operator that combines multiple streams into one based on a fixed number of examples per task.
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Args:
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orgins: List of StreamSource objects.
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examples_per_task: Number of examples per task. If None, all examples are returned.
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splits: List of splits to include. If None, all splits are included.
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"""
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examples_per_task: Optional[int] = None
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def fusion_generator(self, split) -> Generator:
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for origin in self.orgins:
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iterator = iter(origin()[split])
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if self.examples_per_task is not None:
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for i in range(self.examples_per_task):
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yield next(iterator)
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else:
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yield from iterator
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class WeightedFusion(BaseFusion):
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"""
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Fusion operator that combines multiple streams based
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Args:
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orgins: List of StreamSource objects.
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weights: List of weights for each origin.
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total_examples: Total number of examples to return. If None, all examples are returned.
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"""
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origins: List[StreamSource] = None
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weights: List[float] = None
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total_examples: int = None
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def verify(self):
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super().verify()
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assert self.origins is not None, "origins must be specified"
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assert self.weights is not None, "weights must be specified"
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assert len(self.origins) == len(self.weights), "origins and weights must have the same length"
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def fusion_generator(self, split) -> Generator:
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iterators = [iter(origin()[split]) for origin in self.origins]
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total_examples = 0
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while (self.total_examples is None or total_examples <= self.total_examples) \
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and len(iterators) > 0:
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iterator = random.choices(population=iterators, weights=self.weights)[0]
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try:
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yield next(iterator)
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total_examples += 1
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except StopIteration:
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iterators.remove(iterator)
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class TasksFusion(SourceOperator):
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"""
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TasksFusion operator that combines multiple tasks into one.
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Args:
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tasks: List of TaskCard objects.
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config: ICLCard object.
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examples_per_task: Number of examples per task. If None, all examples are returned.
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include_splits: List of splits to include. If None, all splits are included.
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"""
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tasks: List[TaskCard]
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config: ICLCard
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examples_per_task: Optional[int] = None
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include_splits: Optional[List[str]] = None
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def prepare(self):
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self.recipes = []
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for task in self.tasks:
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recipe = CommonRecipe(
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card=task,
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**asdict(self.config)
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)
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self.fusion = FixedFusion(
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origins=self.recipes,
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examples_per_task=self.examples_per_task,
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include_splits=self.include_splits
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)
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def process(self) -> MultiStream:
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return self.fusion()
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