147 lines
3.5 KiB
Python
147 lines
3.5 KiB
Python
import multiprocessing as mp
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from typing import (
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Awaitable,
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Callable,
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Iterable,
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Literal,
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Optional,
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Sequence,
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TypeVar,
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Union,
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overload,
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)
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import dill
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from .get_config import get_config
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from .manage_communication import manage_communication
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from .mapper_function import mapper_function
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from .worker_exception import WorkerException
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T = TypeVar("T")
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V = TypeVar("V")
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@overload
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def parallel_map(
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func: Callable[[T], Union[V, Awaitable[V]]],
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input_values: Sequence[T],
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*,
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ignore_exceptions: Literal[True],
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chunk_size: Optional[int] = ...,
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concurrency: Optional[int] = ...,
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unordered: bool = ...,
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) -> Iterable[Optional[V]]:
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...
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@overload
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def parallel_map(
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func: Callable[[T], Union[V, Awaitable[V]]],
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input_values: Union[Iterable[T], Sequence[T]],
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*,
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chunk_size: int,
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ignore_exceptions: Literal[True],
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concurrency: Optional[int] = ...,
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unordered: bool = ...,
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) -> Iterable[Optional[V]]:
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...
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@overload
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def parallel_map(
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func: Callable[[T], Union[V, Awaitable[V]]],
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input_values: Sequence[T],
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*,
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chunk_size: Optional[int] = ...,
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ignore_exceptions: Literal[False] = ...,
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concurrency: Optional[int] = ...,
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unordered: bool = ...,
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) -> Iterable[V]:
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...
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@overload
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def parallel_map(
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func: Callable[[T], Union[V, Awaitable[V]]],
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input_values: Union[Iterable[T], Sequence[T]],
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*,
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chunk_size: int,
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ignore_exceptions: Literal[False] = ...,
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concurrency: Optional[int] = ...,
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unordered: bool = ...,
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) -> Iterable[V]:
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...
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def parallel_map(
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func: Callable[[T], Union[V, Awaitable[V]]],
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input_values: Union[Iterable[T], Sequence[T]],
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*,
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chunk_size: Optional[int] = None,
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ignore_exceptions: bool = False,
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concurrency: Optional[int] = None,
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unordered: bool = False,
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) -> Iterable[Optional[V]]:
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config = get_config(
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function=func,
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input_values=input_values,
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chunk_size=chunk_size,
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concurrency=concurrency,
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)
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ctx = (
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mp.get_context("fork")
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if "fork" in mp.get_all_start_methods()
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else mp.get_context("spawn")
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)
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ctx.freeze_support()
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manager = ctx.Manager()
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input_queue = manager.Queue(config.concurrency * 2)
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output_queue = manager.Queue(config.concurrency * 2)
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should_stop = ctx.Event()
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serialized_map_function = dill.dumps(func, byref=True, recurse=False)
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processes = [
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ctx.Process(
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name=f"parallel_map_{config.function_name}_{i}",
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target=mapper_function,
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daemon=True,
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kwargs=dict(
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input_queue=input_queue,
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output_queue=output_queue,
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should_stop=should_stop,
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func=serialized_map_function,
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),
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)
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for i in range(config.concurrency)
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]
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for p in processes:
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p.start()
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try:
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yield from manage_communication(
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input_values=input_values,
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chunk_size=config.chunk_size,
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input_queue=input_queue,
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output_queue=output_queue,
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unordered=unordered,
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ignore_exceptions=ignore_exceptions,
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)
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should_stop.set()
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except WorkerException:
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should_stop.set()
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raise
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except Exception:
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for p in processes:
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p.terminate()
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p.kill()
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raise
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finally:
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for p in processes:
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p.join() # terminated processes have to be joined else they remain zombies
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p.close()
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manager.shutdown()
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