File Manager

X7ROOT File Manager

Current Path: /opt/alt/python311/lib/python3.11/site-packages/pip/_internal/utils

opt / alt / python311 / lib / python3.11 / site-packages / pip / _internal / utils /

ðŸ“ ..
ðŸ“„ __init__.py(0 B)
ðŸ“ __pycache__
ðŸ“„ _log.py(1015 B)
ðŸ“„ appdirs.py(1.63 KB)
ðŸ“„ compat.py(1.84 KB)
ðŸ“„ compatibility_tags.py(5.25 KB)
ðŸ“„ datetime.py(242 B)
ðŸ“„ deprecation.py(3.54 KB)
ðŸ“„ direct_url_helpers.py(3.13 KB)
ðŸ“„ distutils_args.py(1.22 KB)
ðŸ“„ egg_link.py(2.15 KB)
ðŸ“„ encoding.py(1.14 KB)
ðŸ“„ entrypoints.py(1.1 KB)
ðŸ“„ filesystem.py(5.75 KB)
ðŸ“„ filetypes.py(716 B)
ðŸ“„ glibc.py(3.04 KB)
ðŸ“„ hashes.py(4.7 KB)
ðŸ“„ inject_securetransport.py(795 B)
ðŸ“„ logging.py(11.26 KB)
ðŸ“„ misc.py(20.29 KB)
ðŸ“„ models.py(1.17 KB)
ðŸ“„ packaging.py(2.88 KB)
ðŸ“„ parallel.py(3.12 KB)
ðŸ“„ pkg_resources.py(987 B)
ðŸ“„ setuptools_build.py(4.59 KB)
ðŸ“„ subprocess.py(9.82 KB)
ðŸ“„ temp_dir.py(7.48 KB)
ðŸ“„ unpacking.py(8.7 KB)
ðŸ“„ urls.py(1.72 KB)
ðŸ“„ virtualenv.py(3.38 KB)
ðŸ“„ wheel.py(6.02 KB)

Editing: parallel.py

"""Convenient parallelization of higher order functions.

This module provides two helper functions, with appropriate fallbacks on
Python 2 and on systems lacking support for synchronization mechanisms:

- map_multiprocess
- map_multithread

These helpers work like Python 3's map, with two differences:

- They don't guarantee the order of processing of
  the elements of the iterable.
- The underlying process/thread pools chop the iterable into
  a number of chunks, so that for very long iterables using
  a large value for chunksize can make the job complete much faster
  than using the default value of 1.
"""

__all__ = ["map_multiprocess", "map_multithread"]

from contextlib import contextmanager
from multiprocessing import Pool as ProcessPool
from multiprocessing import pool
from multiprocessing.dummy import Pool as ThreadPool
from typing import Callable, Iterable, Iterator, TypeVar, Union

from pip._vendor.requests.adapters import DEFAULT_POOLSIZE

Pool = Union[pool.Pool, pool.ThreadPool]
S = TypeVar("S")
T = TypeVar("T")

# On platforms without sem_open, multiprocessing[.dummy] Pool
# cannot be created.
try:
    import multiprocessing.synchronize  # noqa
except ImportError:
    LACK_SEM_OPEN = True
else:
    LACK_SEM_OPEN = False

# Incredibly large timeout to work around bpo-8296 on Python 2.
TIMEOUT = 2000000

@contextmanager
def closing(pool: Pool) -> Iterator[Pool]:
    """Return a context manager making sure the pool closes properly."""
    try:
        yield pool
    finally:
        # For Pool.imap*, close and join are needed
        # for the returned iterator to begin yielding.
        pool.close()
        pool.join()
        pool.terminate()

def _map_fallback(
    func: Callable[[S], T], iterable: Iterable[S], chunksize: int = 1
) -> Iterator[T]:
    """Make an iterator applying func to each element in iterable.

This function is the sequential fallback either on Python 2
    where Pool.imap* doesn't react to KeyboardInterrupt
    or when sem_open is unavailable.
    """
    return map(func, iterable)

def _map_multiprocess(
    func: Callable[[S], T], iterable: Iterable[S], chunksize: int = 1
) -> Iterator[T]:
    """Chop iterable into chunks and submit them to a process pool.

For very long iterables using a large value for chunksize can make
    the job complete much faster than using the default value of 1.

Return an unordered iterator of the results.
    """
    with closing(ProcessPool()) as pool:
        return pool.imap_unordered(func, iterable, chunksize)

def _map_multithread(
    func: Callable[[S], T], iterable: Iterable[S], chunksize: int = 1
) -> Iterator[T]:
    """Chop iterable into chunks and submit them to a thread pool.

For very long iterables using a large value for chunksize can make
    the job complete much faster than using the default value of 1.

Return an unordered iterator of the results.
    """
    with closing(ThreadPool(DEFAULT_POOLSIZE)) as pool:
        return pool.imap_unordered(func, iterable, chunksize)

if LACK_SEM_OPEN:
    map_multiprocess = map_multithread = _map_fallback
else:
    map_multiprocess = _map_multiprocess
    map_multithread = _map_multithread

X7ROOT File Manager

Editing: parallel.py

Upload File

Create Folder