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from mmap import mmap import errno import os import stat import threading import atexit import tempfile import time import warnings import weakref from uuid import uuid4 from multiprocessing import util from pickle import whichmodule, loads, dumps, HIGHEST_PROTOCOL, PicklingError from .numpy_pickle import dump, load, l...
Get the full path to a subfolder inside the temporary folder. Parameters ---------- pool_folder_name : str Sub-folder name used for the serialization of a pool instance. temp_folder: str, optional Folder to be used by the pool for memmapping large arrays for sharing memory with worker processes. If None, this will try ...
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from mmap import mmap import errno import os import stat import threading import atexit import tempfile import time import warnings import weakref from uuid import uuid4 from multiprocessing import util from pickle import whichmodule, loads, dumps, HIGHEST_PROTOCOL, PicklingError from .numpy_pickle import dump, load, l...
Return True if a is backed by some mmap buffer directly or not.
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from mmap import mmap import errno import os import stat import threading import atexit import tempfile import time import warnings import weakref from uuid import uuid4 from multiprocessing import util from pickle import whichmodule, loads, dumps, HIGHEST_PROTOCOL, PicklingError from .numpy_pickle import dump, load, l...
Construct a pair of memmapping reducer linked to a tmpdir. This function manage the creation and the clean up of the temporary folders underlying the memory maps and should be use to get the reducers necessary to construct joblib pool or executor.
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from ._memmapping_reducer import get_memmapping_reducers from ._memmapping_reducer import TemporaryResourcesManager from .externals.loky.reusable_executor import _ReusablePoolExecutor class MemmappingExecutor(_ReusablePoolExecutor): def get_memmapping_executor(cls, n_jobs, timeout=300, initializer=None, ...
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import gc import os import warnings import threading import functools import contextlib from abc import ABCMeta, abstractmethod from .my_exceptions import WorkerInterrupt from ._multiprocessing_helpers import mp The provided code snippet includes necessary dependencies for implementing the `inside_dask_worker` functio...
Check whether the current function is executed inside a Dask worker.
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import inspect import warnings import re import os import collections from itertools import islice from tokenize import open as open_py_source from .logger import pformat import os os.environ.setdefault("KMP_INIT_AT_FORK", "FALSE") def islice(iterable: Iterable[_T], stop: Optional[int]) -> Iterator[_T]: ... def i...
Attempts to retrieve a reliable function code hash. The reason we don't use inspect.getsource is that it caches the source, whereas we want this to be modified on the fly when the function is modified. Returns ------- func_code: string The function code source_file: string The path to the file in which the function is ...
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import inspect import warnings import re import os import collections from itertools import islice from tokenize import open as open_py_source from .logger import pformat def get_func_name(func, resolv_alias=True, win_characters=True): """ Return the function import path (as a list of module names), and a n...
Filters the given args and kwargs using a list of arguments to ignore, and a function specification. Parameters ---------- func: callable Function giving the argument specification ignore_lst: list of strings List of arguments to ignore (either a name of an argument in the function spec, or '*', or '**') *args: list Po...
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import inspect import warnings import re import os import collections from itertools import islice from tokenize import open as open_py_source from .logger import pformat def format_signature(func, *args, **kwargs): # XXX: Should this use inspect.formatargvalues/formatargspec? module, name = get_func_name(func)...
Returns a nicely formatted statement displaying the function call with the given arguments.
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import io import zlib from joblib.backports import LooseVersion _COMPRESSORS = {} class CompressorWrapper(): """A wrapper around a compressor file object. Attributes ---------- obj: a file-like object The object must implement the buffer interface and will be used internally to compress/...
Register a new compressor. Parameters ----------- compressor_name: str. The name of the compressor. compressor: CompressorWrapper An instance of a 'CompressorWrapper'.
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import pickle import os import zlib import inspect from io import BytesIO from .numpy_pickle_utils import _ZFILE_PREFIX from .numpy_pickle_utils import Unpickler from .numpy_pickle_utils import _ensure_native_byte_order _MAX_LEN = len(hex_str(2 ** 64)) The provided code snippet includes necessary dependencies for impl...
Read the z-file and return the content as a string. Z-files are raw data compressed with zlib used internally by joblib for persistence. Backward compatibility is not guaranteed. Do not use for external purposes.
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import pickle import os import zlib import inspect from io import BytesIO from .numpy_pickle_utils import _ZFILE_PREFIX from .numpy_pickle_utils import Unpickler from .numpy_pickle_utils import _ensure_native_byte_order def hex_str(an_int): """Convert an int to an hexadecimal string.""" return '{:#x}'.format(an...
Write the data in the given file as a Z-file. Z-files are raw data compressed with zlib used internally by joblib for persistence. Backward compatibility is not guaranteed. Do not use for external purposes.
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import re import os import os.path import datetime import json import shutil import warnings import collections import operator import threading from abc import ABCMeta, abstractmethod from .backports import concurrency_safe_rename from .disk import mkdirp, memstr_to_bytes, rm_subdirs from . import numpy_pickle import...
Writes an object into a unique file in a concurrency-safe way.
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import pickle import io import sys import warnings import contextlib from .compressor import _ZFILE_PREFIX from .compressor import _COMPRESSORS def _is_numpy_array_byte_order_mismatch(array): """Check if numpy array is having byte order mismatch""" return ((sys.byteorder == 'big' and (array.dtype.b...
Use the byte order of the host while preserving values Does nothing if array already uses the system byte order.
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import pickle import io import sys import warnings import contextlib from .compressor import _ZFILE_PREFIX from .compressor import _COMPRESSORS The provided code snippet includes necessary dependencies for implementing the `_read_bytes` function. Write a Python function `def _read_bytes(fp, size, error_template="ran o...
Read from file-like object until size bytes are read. TODO python2_drop: is it still needed? The docstring mentions python 2.6 and it looks like this can be at least simplified ... Raises ValueError if not EOF is encountered before size bytes are read. Non-blocking objects only supported if they derive from io objects....
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import pickle import hashlib import sys import types import struct import io import decimal class Hasher(Pickler): """ A subclass of pickler, to do cryptographic hashing, rather than pickling. """ def __init__(self, hash_name='md5'): self.stream = io.BytesIO() # By default we want a ...
Quick calculation of a hash to identify uniquely Python objects containing numpy arrays. Parameters ----------- hash_name: 'md5' or 'sha1' Hashing algorithm used. sha1 is supposedly safer, but md5 is faster. coerce_mmap: boolean Make no difference between np.memmap and np.ndarray
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from __future__ import division import os import sys from math import sqrt import functools import time import threading import itertools from uuid import uuid4 from numbers import Integral import warnings import queue from ._multiprocessing_helpers import mp from .logger import Logger, short_format_time from .disk imp...
Register Dask Backend if called with parallel_backend("dask")
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from __future__ import division import os import sys from math import sqrt import functools import time import threading import itertools from uuid import uuid4 from numbers import Integral import warnings import queue from ._multiprocessing_helpers import mp from .logger import Logger, short_format_time from .disk imp...
Return the number of CPUs. This delegates to loky.cpu_count that takes into account additional constraints such as Linux CFS scheduler quotas (typically set by container runtimes such as docker) and CPU affinity (for instance using the taskset command on Linux). If only_physical_cores is True, do not take hyperthreadin...
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from __future__ import division import os import sys from math import sqrt import functools import time import threading import itertools from uuid import uuid4 from numbers import Integral import warnings import queue from ._multiprocessing_helpers import mp from .logger import Logger, short_format_time from .disk imp...
Returns False for indices increasingly apart, the distance depending on the value of verbose. We use a lag increasing as the square of index
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from __future__ import division import os import sys from math import sqrt import functools import time import threading import itertools from uuid import uuid4 from numbers import Integral import warnings import queue from ._multiprocessing_helpers import mp from .logger import Logger, short_format_time from .disk imp...
Decorator used to capture the arguments of a function.
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from __future__ import division import os import sys from math import sqrt import functools import time import threading import itertools from uuid import uuid4 from numbers import Integral import warnings import queue from ._multiprocessing_helpers import mp from .logger import Logger, short_format_time from .disk imp...
Determine the number of jobs that can actually run in parallel n_jobs is the number of workers requested by the callers. Passing n_jobs=-1 means requesting all available workers for instance matching the number of CPU cores on the worker host(s). This method should return a guesstimate of the number of workers that can...
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import os import sys import time import errno import shutil from multiprocessing import util import os os.environ.setdefault("KMP_INIT_AT_FORK", "FALSE") The provided code snippet includes necessary dependencies for implementing the `disk_used` function. Write a Python function `def disk_used(path)` to solve the ...
Return the disk usage in a directory.
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import os import sys import time import errno import shutil from multiprocessing import util The provided code snippet includes necessary dependencies for implementing the `memstr_to_bytes` function. Write a Python function `def memstr_to_bytes(text)` to solve the following problem: Convert a memory text to its value ...
Convert a memory text to its value in bytes.
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import os import sys import time import errno import shutil from multiprocessing import util import os os.environ.setdefault("KMP_INIT_AT_FORK", "FALSE") The provided code snippet includes necessary dependencies for implementing the `mkdirp` function. Write a Python function `def mkdirp(d)` to solve the following...
Ensure directory d exists (like mkdir -p on Unix) No guarantee that the directory is writable.
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import os import sys import time import errno import shutil from multiprocessing import util def delete_folder(folder_path, onerror=None, allow_non_empty=True): """Utility function to cleanup a temporary folder if it still exists.""" if os.path.isdir(folder_path): if onerror is not None: shu...
Remove all subdirectories in this path. The directory indicated by `path` is left in place, and its subdirectories are erased. If onerror is set, it is called to handle the error with arguments (func, path, exc_info) where func is os.listdir, os.remove, or os.rmdir; path is the argument to that function that caused it ...
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from sys import version_info from warnings import warn from joblib import _deprecated_format_stack _deprecated_names = [ name for name in dir(_deprecated_format_stack) if not name.startswith("__") # special attributes ] def __getattr__(name): if not name.startswith("__") and name in _deprecated_names:...
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import inspect import keyword import linecache import os import pydoc import sys import time import tokenize import traceback def _fixed_getframes(etb, context=1, tb_offset=0): LNUM_POS, LINES_POS, INDEX_POS = 2, 4, 5 records = fix_frame_records_filenames(inspect.getinnerframes(etb, context)) # If the error...
Return a nice text document describing the traceback. Parameters ----------- etype, evalue, etb: as returned by sys.exc_info context: number of lines of the source file to plot tb_offset: the number of stack frame not to use (0 = use all)
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import inspect import keyword import linecache import os import pydoc import sys import time import tokenize import traceback def format_records(records): # , print_globals=False): # Loop over all records printing context and info frames = [] abspath = os.path.abspath for frame, file, lnum, func, line...
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from sys import version_info from warnings import warn from . import _deprecated_my_exceptions _deprecated_names = [ name for name in dir(_deprecated_my_exceptions) if not name.startswith("__") ] def __getattr__(name): if not name.startswith("__") and name in _deprecated_names: warn("{} is ...
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from ._multiprocessing_helpers import mp def my_wrap_non_picklable_objects(obj, keep_wrapper=True): return obj
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
Register a module to make it functions and classes picklable by value. By default, functions and classes that are attributes of an importable module are to be pickled by reference, that is relying on re-importing the attribute from the module at load time. If `register_pickle_by_value(module)` is called, all its functi...
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
Unregister that the input module should be pickled by value.
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
Return whether *func* is a Tornado coroutine function. Running coroutines are not supported.
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
Create a new instance of a class. Parameters ---------- cls : type The class to create an instance of. Returns ------- instance : cls A new instance of ``cls``.
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
Fills in the rest of function data into the skeleton function object The skeleton itself is create by _make_skel_func().
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
Creates a skeleton function object that contains just the provided code and the correct number of cells in func_closure. All other func attributes (e.g. func_globals) are empty.
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
Put attributes from `class_dict` back on `skeleton_class`. See CloudPickler.save_dynamic_class for more info.
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import builtins import dis import opcode import platform import sys import types import weakref import uuid import threading import typing import warnings from .compat import pickle from collections import OrderedDict from typing import ClassVar, Generic, Union, Tuple, Callable from pickle import _getattribute from imp...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
Serialize obj as a string of bytes allocated in memory protocol defaults to cloudpickle.DEFAULT_PROTOCOL which is an alias to pickle.HIGHEST_PROTOCOL. This setting favors maximum communication speed between processes running the same Python version. Set protocol=pickle.DEFAULT_PROTOCOL instead if you need to ensure com...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
Serialize obj as a string of bytes allocated in memory protocol defaults to cloudpickle.DEFAULT_PROTOCOL which is an alias to pickle.HIGHEST_PROTOCOL. This setting favors maximum communication speed between processes running the same Python version. Set protocol=pickle.DEFAULT_PROTOCOL instead if you need to ensure com...
172,316
import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
codeobject reducer
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
Cell (containing values of a function's free variables) reducer
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
Save a file
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
Select the reducer depending on the dynamic nature of the class obj
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
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import _collections_abc import abc import copyreg import io import itertools import logging import sys import struct import types import weakref import typing from enum import Enum from collections import ChainMap, OrderedDict from .compat import pickle, Pickler from .cloudpickle import ( _extract_code_globals, _BU...
Update the state of a dynamic function. As __closure__ and __globals__ are readonly attributes of a function, we cannot rely on the native setstate routine of pickle.load_build, that calls setattr on items of the slotstate. Instead, we have to modify them inplace.
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import inspect from functools import partial from joblib.externals.cloudpickle import dumps, loads def _wrap_non_picklable_objects(obj, keep_wrapper): if callable(obj): return CallableObjectWrapper(obj, keep_wrapper=keep_wrapper) return CloudpickledObjectWrapper(obj, keep_wrapper=keep_wrapper) def _rec...
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import inspect from functools import partial from joblib.externals.cloudpickle import dumps, loads WRAP_CACHE = {} def _wrap_non_picklable_objects(obj, keep_wrapper): if callable(obj): return CallableObjectWrapper(obj, keep_wrapper=keep_wrapper) return CloudpickledObjectWrapper(obj, keep_wrapper=keep_wr...
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import inspect from functools import partial from joblib.externals.cloudpickle import dumps, loads class CloudpickledObjectWrapper: def __init__(self, obj, keep_wrapper=False): self._obj = obj self._keep_wrapper = keep_wrapper def __reduce__(self): _pickled_object = dumps(self._obj) ...
Wrapper for non-picklable object to use cloudpickle to serialize them. Note that this wrapper tends to slow down the serialization process as it is done with cloudpickle which is typically slower compared to pickle. The proper way to solve serialization issues is to avoid defining functions and objects in the main scri...
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import time import warnings import threading import multiprocessing as mp from .process_executor import ProcessPoolExecutor, EXTRA_QUEUED_CALLS from .backend.context import cpu_count from .backend import get_context _executor_lock = threading.RLock() _next_executor_id = 0 The provided code snippet includes necessary d...
Ensure that each successive executor instance has a unique, monotonic id. The purpose of this monotonic id is to help debug and test automated instance creation.
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import time import warnings import threading import multiprocessing as mp from .process_executor import ProcessPoolExecutor, EXTRA_QUEUED_CALLS from .backend.context import cpu_count from .backend import get_context _executor = None class _ReusablePoolExecutor(ProcessPoolExecutor): def __init__(self, submit_resize_...
Return the current ReusableExectutor instance. Start a new instance if it has not been started already or if the previous instance was left in a broken state. If the previous instance does not have the requested number of workers, the executor is dynamically resized to adjust the number of workers prior to returning. R...
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import os import gc import sys import queue import struct import weakref import warnings import itertools import traceback import threading from time import time, sleep import multiprocessing as mp from functools import partial from pickle import PicklingError from concurrent.futures import Executor from concurrent.fut...
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import os import gc import sys import queue import struct import weakref import warnings import itertools import traceback import threading from time import time, sleep import multiprocessing as mp from functools import partial from pickle import PicklingError from concurrent.futures import Executor from concurrent.fut...
Iterates over zip()ed iterables in chunks.
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import os import gc import sys import queue import struct import weakref import warnings import itertools import traceback import threading from time import time, sleep import multiprocessing as mp from functools import partial from pickle import PicklingError from concurrent.futures import Executor from concurrent.fut...
Processes a chunk of an iterable passed to map. Runs the function passed to map() on a chunk of the iterable passed to map. This function is run in a separate process.
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import os import gc import sys import queue import struct import weakref import warnings import itertools import traceback import threading from time import time, sleep import multiprocessing as mp from functools import partial from pickle import PicklingError from concurrent.futures import Executor from concurrent.fut...
Evaluates calls from call_queue and places the results in result_queue. This worker is run in a separate process. Args: call_queue: A ctx.Queue of _CallItems that will be read and evaluated by the worker. result_queue: A ctx.Queue of _ResultItems that will written to by the worker. initializer: A callable initializer, ...
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import os import gc import sys import queue import struct import weakref import warnings import itertools import traceback import threading from time import time, sleep import multiprocessing as mp from functools import partial from pickle import PicklingError from concurrent.futures import Executor from concurrent.fut...
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import os import gc import sys import queue import struct import weakref import warnings import itertools import traceback import threading from time import time, sleep import multiprocessing as mp from functools import partial from pickle import PicklingError from concurrent.futures import Executor from concurrent.fut...
Specialized implementation of itertools.chain.from_iterable. Each item in *iterable* should be a list. This function is careful not to keep references to yielded objects.
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import os import gc import sys import queue import struct import weakref import warnings import itertools import traceback import threading from time import time, sleep import multiprocessing as mp from functools import partial from pickle import PicklingError from concurrent.futures import Executor from concurrent.fut...
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import os import sys import time import errno import signal import warnings import subprocess import traceback def kill_process_tree(process, use_psutil=True): """Terminate process and its descendants with SIGKILL""" if use_psutil and psutil is not None: _kill_process_tree_with_psutil(process) else:...
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import os import sys import time import errno import signal import warnings import subprocess import traceback def _format_exitcodes(exitcodes): """Format a list of exit code with names of the signals if possible""" str_exitcodes = [f"{_get_exitcode_name(e)}({e})" for e in exitcodes if e is...
Return a formated string with the exitcodes of terminated workers. If necessary, wait (up to .25s) for the system to correctly set the exitcode of one terminated worker.
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import os import socket import _socket from multiprocessing.connection import Connection from multiprocessing.context import get_spawning_popen from .reduction import register import os if 'PYZMQ_BACKEND' in os.environ: backend = os.environ['PYZMQ_BACKEND'] if backend in ('cython', 'cffi'): backend =...
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import os import socket import _socket from multiprocessing.connection import Connection from multiprocessing.context import get_spawning_popen from .reduction import register def DupFd(fd): '''Return a wrapper for an fd.''' popen_obj = get_spawning_popen() if popen_obj is not None: return popen_obj...
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import os import socket import _socket from multiprocessing.connection import Connection from multiprocessing.context import get_spawning_popen from .reduction import register def DupFd(fd): '''Return a wrapper for an fd.''' popen_obj = get_spawning_popen() if popen_obj is not None: return popen_obj...
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import os import shutil import sys import signal import warnings import threading from _multiprocessing import sem_unlink from multiprocessing import util from . import spawn if sys.platform == "win32": import _winapi import msvcrt from multiprocessing.reduction import duplicate if os.name == "posix": _...
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import os import sys import runpy import types from multiprocessing import process, util if sys.platform != 'win32': WINEXE = False WINSERVICE = False else: import msvcrt from multiprocessing.reduction import duplicate WINEXE = (sys.platform == 'win32' and getattr(sys, 'frozen', False)) WINSERVI...
Return info about parent needed by child to unpickle process object
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import os import sys import runpy import types from multiprocessing import process, util if sys.platform != 'win32': WINEXE = False WINSERVICE = False else: import msvcrt from multiprocessing.reduction import duplicate WINEXE = (sys.platform == 'win32' and getattr(sys, 'frozen', False)) WINSERVI...
Try to get current process ready to unpickle process object
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import os import socket import _winapi from multiprocessing.connection import PipeConnection from multiprocessing.reduction import _reduce_socket from .reduction import register class DupHandle: def __init__(self, handle, access, pid=None): # duplicate handle for process with given pid if pid is Non...
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import os import sys import math import subprocess import traceback import warnings import multiprocessing as mp from multiprocessing import get_context as mp_get_context from multiprocessing.context import BaseContext from .process import LokyProcess, LokyInitMainProcess START_METHODS = ['loky', 'loky_init_main', 'spa...
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import os import sys import math import subprocess import traceback import warnings import multiprocessing as mp from multiprocessing import get_context as mp_get_context from multiprocessing.context import BaseContext from .process import LokyProcess, LokyInitMainProcess START_METHODS = ['loky', 'loky_init_main', 'spa...
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import os import sys import math import subprocess import traceback import warnings import multiprocessing as mp from multiprocessing import get_context as mp_get_context from multiprocessing.context import BaseContext from .process import LokyProcess, LokyInitMainProcess def _cpu_count_user(os_cpu_count): """Numbe...
Return the number of CPUs the current process can use. The returned number of CPUs accounts for: * the number of CPUs in the system, as given by ``multiprocessing.cpu_count``; * the CPU affinity settings of the current process (available on some Unix systems); * Cgroup CPU bandwidth limit (available on Linux only, typi...
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import os import sys import msvcrt import _winapi from pickle import load from multiprocessing import process, util from multiprocessing.context import get_spawning_popen, set_spawning_popen from multiprocessing.popen_spawn_win32 import Popen as _Popen from multiprocessing.reduction import duplicate from . import reduc...
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import os import sys import msvcrt import _winapi from pickle import load from multiprocessing import process, util from multiprocessing.context import get_spawning_popen, set_spawning_popen from multiprocessing.popen_spawn_win32 import Popen as _Popen from multiprocessing.reduction import duplicate from . import reduc...
Returns prefix of command line used for spawning a child process
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import os import sys import msvcrt import _winapi from pickle import load from multiprocessing import process, util from multiprocessing.context import get_spawning_popen, set_spawning_popen from multiprocessing.popen_spawn_win32 import Popen as _Popen from multiprocessing.reduction import duplicate from . import reduc...
Return whether commandline indicates we are forking
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import copyreg import io import functools import types import sys import os from multiprocessing import util from pickle import loads, HIGHEST_PROTOCOL def _reduce_method(m): if m.__self__ is None: return getattr, (m.__class__, m.__func__.__name__) else: return getattr, (m.__self__, m.__func__....
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import copyreg import io import functools import types import sys import os from multiprocessing import util from pickle import loads, HIGHEST_PROTOCOL def _reduce_method_descriptor(m): return getattr, (m.__objclass__, m.__name__)
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