Source code for physicsnemo_curator.run.loky
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"""Loky (joblib) execution backend.
Uses ``joblib.Parallel`` with the loky backend for robust parallel execution.
Loky provides better process management than the standard multiprocessing module.
"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, ClassVar
from physicsnemo_curator.run.base import (
RunBackend,
RunConfig,
process_single_index,
)
if TYPE_CHECKING:
from physicsnemo_curator.core.base import Pipeline
[docs]
class LokyBackend(RunBackend):
"""Execute pipeline items using joblib with the loky backend.
Loky is a robust process executor that handles worker crashes gracefully
and provides better memory management than standard multiprocessing.
.. warning::
Stateful filters accumulate per-process state that is **not** merged
back into the parent process.
Backend Options
---------------
prefer : str
Soft hint for parallelization ("processes" or "threads").
require : str
Hard constraint for parallelization.
verbose : int
Verbosity level (0-50). If not set, uses 10 when progress=True.
batch_size : int | str
Number of tasks per batch ("auto" or int).
pre_dispatch : str | int
Number of batches to pre-dispatch.
temp_folder : str | None
Folder for memmapping large arrays.
timeout : float | None
Timeout in seconds for retrieving results.
"""
name: ClassVar[str] = "loky"
description: ClassVar[str] = "Joblib with loky backend (robust process management)"
requires: ClassVar[tuple[str, ...]] = ("joblib",)
[docs]
def run(
self,
pipeline: Pipeline[Any],
config: RunConfig,
) -> list[list[str]]:
"""Execute pipeline indices using joblib/loky.
Parameters
----------
pipeline : Pipeline
The pipeline to execute.
config : RunConfig
Execution configuration.
Returns
-------
list[list[str]]
Sink outputs, one list per index.
Raises
------
ImportError
If joblib is not installed.
"""
try:
from joblib import Parallel, delayed
except ImportError:
msg = "The 'loky' backend requires joblib. Install with: pip install 'physicsnemo-curator[loky]'"
raise ImportError(msg) from None
indices = config.indices if config.indices is not None else list(range(len(pipeline)))
n_jobs = config.resolved_n_jobs
# Extract joblib-specific options
parallel_kwargs = dict(config.backend_options)
if "verbose" not in parallel_kwargs:
parallel_kwargs["verbose"] = 10 if config.progress else 0
results: list[list[str]] = Parallel(
n_jobs=n_jobs,
backend="loky",
**parallel_kwargs,
)(delayed(process_single_index)(pipeline, i) for i in indices)
return results