projektAI/venv/Lib/site-packages/joblib/externals/loky/backend/reduction.py

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2021-06-06 22:13:05 +02:00
###############################################################################
# Customizable Pickler with some basic reducers
#
# author: Thomas Moreau
#
# adapted from multiprocessing/reduction.py (17/02/2017)
# * Replace the ForkingPickler with a similar _LokyPickler,
# * Add CustomizableLokyPickler to allow customizing pickling process
# on the fly.
#
import io
import os
import sys
import functools
from multiprocessing import util
import types
try:
# Python 2 compat
from cPickle import loads as pickle_loads
except ImportError:
from pickle import loads as pickle_loads
import copyreg
from pickle import HIGHEST_PROTOCOL
if sys.platform == "win32":
if sys.version_info[:2] > (3, 3):
from multiprocessing.reduction import duplicate
else:
from multiprocessing.forking import duplicate
###############################################################################
# Enable custom pickling in Loky.
# To allow instance customization of the pickling process, we use 2 classes.
# _ReducerRegistry gives module level customization and CustomizablePickler
# permits to use instance base custom reducers. Only CustomizablePickler
# should be used.
class _ReducerRegistry(object):
"""Registry for custom reducers.
HIGHEST_PROTOCOL is selected by default as this pickler is used
to pickle ephemeral datastructures for interprocess communication
hence no backward compatibility is required.
"""
# We override the pure Python pickler as its the only way to be able to
# customize the dispatch table without side effects in Python 2.6
# to 3.2. For Python 3.3+ leverage the new dispatch_table
# feature from http://bugs.python.org/issue14166 that makes it possible
# to use the C implementation of the Pickler which is faster.
dispatch_table = {}
@classmethod
def register(cls, type, reduce_func):
"""Attach a reducer function to a given type in the dispatch table."""
if sys.version_info < (3,):
# Python 2 pickler dispatching is not explicitly customizable.
# Let us use a closure to workaround this limitation.
def dispatcher(cls, obj):
reduced = reduce_func(obj)
cls.save_reduce(obj=obj, *reduced)
cls.dispatch_table[type] = dispatcher
else:
cls.dispatch_table[type] = reduce_func
###############################################################################
# Registers extra pickling routines to improve picklization for loky
register = _ReducerRegistry.register
# make methods picklable
def _reduce_method(m):
if m.__self__ is None:
return getattr, (m.__class__, m.__func__.__name__)
else:
return getattr, (m.__self__, m.__func__.__name__)
class _C:
def f(self):
pass
@classmethod
def h(cls):
pass
register(type(_C().f), _reduce_method)
register(type(_C.h), _reduce_method)
if not hasattr(sys, "pypy_version_info"):
# PyPy uses functions instead of method_descriptors and wrapper_descriptors
def _reduce_method_descriptor(m):
return getattr, (m.__objclass__, m.__name__)
register(type(list.append), _reduce_method_descriptor)
register(type(int.__add__), _reduce_method_descriptor)
# Make partial func pickable
def _reduce_partial(p):
return _rebuild_partial, (p.func, p.args, p.keywords or {})
def _rebuild_partial(func, args, keywords):
return functools.partial(func, *args, **keywords)
register(functools.partial, _reduce_partial)
if sys.platform != "win32":
from ._posix_reduction import _mk_inheritable # noqa: F401
else:
from . import _win_reduction # noqa: F401
# global variable to change the pickler behavior
try:
from joblib.externals import cloudpickle # noqa: F401
DEFAULT_ENV = "cloudpickle"
except ImportError:
# If cloudpickle is not present, fallback to pickle
DEFAULT_ENV = "pickle"
ENV_LOKY_PICKLER = os.environ.get("LOKY_PICKLER", DEFAULT_ENV)
_LokyPickler = None
_loky_pickler_name = None
def set_loky_pickler(loky_pickler=None):
global _LokyPickler, _loky_pickler_name
if loky_pickler is None:
loky_pickler = ENV_LOKY_PICKLER
loky_pickler_cls = None
# The default loky_pickler is cloudpickle
if loky_pickler in ["", None]:
loky_pickler = "cloudpickle"
if loky_pickler == _loky_pickler_name:
return
if loky_pickler == "cloudpickle":
from joblib.externals.cloudpickle import CloudPickler as loky_pickler_cls
else:
try:
from importlib import import_module
module_pickle = import_module(loky_pickler)
loky_pickler_cls = module_pickle.Pickler
except (ImportError, AttributeError) as e:
extra_info = ("\nThis error occurred while setting loky_pickler to"
" '{}', as required by the env variable LOKY_PICKLER"
" or the function set_loky_pickler."
.format(loky_pickler))
e.args = (e.args[0] + extra_info,) + e.args[1:]
e.msg = e.args[0]
raise e
util.debug("Using '{}' for serialization."
.format(loky_pickler if loky_pickler else "cloudpickle"))
class CustomizablePickler(loky_pickler_cls):
_loky_pickler_cls = loky_pickler_cls
def _set_dispatch_table(self, dispatch_table):
for ancestor_class in self._loky_pickler_cls.mro():
dt_attribute = getattr(ancestor_class, "dispatch_table", None)
if isinstance(dt_attribute, types.MemberDescriptorType):
# Ancestor class (typically _pickle.Pickler) has a
# member_descriptor for its "dispatch_table" attribute. Use
# it to set the dispatch_table as a member instead of a
# dynamic attribute in the __dict__ of the instance,
# otherwise it will not be taken into account by the C
# implementation of the dump method if a subclass defines a
# class-level dispatch_table attribute as was done in
# cloudpickle 1.6.0:
# https://github.com/joblib/loky/pull/260
dt_attribute.__set__(self, dispatch_table)
break
# On top of member descriptor set, also use setattr such that code
# that directly access self.dispatch_table gets a consistent view
# of the same table.
self.dispatch_table = dispatch_table
def __init__(self, writer, reducers=None, protocol=HIGHEST_PROTOCOL):
loky_pickler_cls.__init__(self, writer, protocol=protocol)
if reducers is None:
reducers = {}
if sys.version_info < (3,):
self.dispatch = loky_pickler_cls.dispatch.copy()
self.dispatch.update(_ReducerRegistry.dispatch_table)
else:
if hasattr(self, "dispatch_table"):
# Force a copy that we will update without mutating the
# any class level defined dispatch_table.
loky_dt = dict(self.dispatch_table)
else:
# Use standard reducers as bases
loky_dt = copyreg.dispatch_table.copy()
# Register loky specific reducers
loky_dt.update(_ReducerRegistry.dispatch_table)
# Set the new dispatch table, taking care of the fact that we
# need to use the member_descriptor when we inherit from a
# subclass of the C implementation of the Pickler base class
# with an class level dispatch_table attribute.
self._set_dispatch_table(loky_dt)
# Register custom reducers
for type, reduce_func in reducers.items():
self.register(type, reduce_func)
def register(self, type, reduce_func):
"""Attach a reducer function to a given type in the dispatch table.
"""
if sys.version_info < (3,):
# Python 2 pickler dispatching is not explicitly customizable.
# Let us use a closure to workaround this limitation.
def dispatcher(self, obj):
reduced = reduce_func(obj)
self.save_reduce(obj=obj, *reduced)
self.dispatch[type] = dispatcher
else:
self.dispatch_table[type] = reduce_func
_LokyPickler = CustomizablePickler
_loky_pickler_name = loky_pickler
def get_loky_pickler_name():
global _loky_pickler_name
return _loky_pickler_name
def get_loky_pickler():
global _LokyPickler
return _LokyPickler
# Set it to its default value
set_loky_pickler()
def loads(buf):
# Compat for python2.7 version
if sys.version_info < (3, 3) and isinstance(buf, io.BytesIO):
buf = buf.getvalue()
return pickle_loads(buf)
def dump(obj, file, reducers=None, protocol=None):
'''Replacement for pickle.dump() using _LokyPickler.'''
global _LokyPickler
_LokyPickler(file, reducers=reducers, protocol=protocol).dump(obj)
def dumps(obj, reducers=None, protocol=None):
global _LokyPickler
buf = io.BytesIO()
dump(obj, buf, reducers=reducers, protocol=protocol)
if sys.version_info < (3, 3):
return buf.getvalue()
return buf.getbuffer()
__all__ = ["dump", "dumps", "loads", "register", "set_loky_pickler"]
if sys.platform == "win32":
__all__ += ["duplicate"]