Add CPython library modules needed for unittest

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coolreader18 committed 2019-06-26 11:39:10 -05:00
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from _collections_abc import *
from _collections_abc import __all__
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"""functools.py - Tools for working with functions and callable objects
"""
# Python module wrapper for _functools C module
# to allow utilities written in Python to be added
# to the functools module.
# Written by Nick Coghlan <ncoghlan at gmail.com>,
# Raymond Hettinger <python at rcn.com>,
# and Łukasz Langa <lukasz at langa.pl>.
# Copyright (C) 2006-2013 Python Software Foundation.
# See C source code for _functools credits/copyright
__all__ = ['update_wrapper', 'wraps', 'WRAPPER_ASSIGNMENTS', 'WRAPPER_UPDATES',
'total_ordering', 'cmp_to_key', 'lru_cache', 'reduce', 'partial',
'partialmethod', 'singledispatch']
try:
from _functools import reduce
except ImportError:
pass
from abc import get_cache_token
from collections import namedtuple
# import types, weakref # Deferred to single_dispatch()
from reprlib import recursive_repr
from _thread import RLock
################################################################################
### update_wrapper() and wraps() decorator
################################################################################
# update_wrapper() and wraps() are tools to help write
# wrapper functions that can handle naive introspection
WRAPPER_ASSIGNMENTS = ('__module__', '__name__', '__qualname__', '__doc__',
'__annotations__')
WRAPPER_UPDATES = ('__dict__',)
def update_wrapper(wrapper,
wrapped,
assigned = WRAPPER_ASSIGNMENTS,
updated = WRAPPER_UPDATES):
"""Update a wrapper function to look like the wrapped function
wrapper is the function to be updated
wrapped is the original function
assigned is a tuple naming the attributes assigned directly
from the wrapped function to the wrapper function (defaults to
functools.WRAPPER_ASSIGNMENTS)
updated is a tuple naming the attributes of the wrapper that
are updated with the corresponding attribute from the wrapped
function (defaults to functools.WRAPPER_UPDATES)
"""
for attr in assigned:
try:
value = getattr(wrapped, attr)
except AttributeError:
pass
else:
setattr(wrapper, attr, value)
for attr in updated:
getattr(wrapper, attr).update(getattr(wrapped, attr, {}))
# Issue #17482: set __wrapped__ last so we don't inadvertently copy it
# from the wrapped function when updating __dict__
wrapper.__wrapped__ = wrapped
# Return the wrapper so this can be used as a decorator via partial()
return wrapper
def wraps(wrapped,
assigned = WRAPPER_ASSIGNMENTS,
updated = WRAPPER_UPDATES):
"""Decorator factory to apply update_wrapper() to a wrapper function
Returns a decorator that invokes update_wrapper() with the decorated
function as the wrapper argument and the arguments to wraps() as the
remaining arguments. Default arguments are as for update_wrapper().
This is a convenience function to simplify applying partial() to
update_wrapper().
"""
return partial(update_wrapper, wrapped=wrapped,
assigned=assigned, updated=updated)
################################################################################
### total_ordering class decorator
################################################################################
# The total ordering functions all invoke the root magic method directly
# rather than using the corresponding operator. This avoids possible
# infinite recursion that could occur when the operator dispatch logic
# detects a NotImplemented result and then calls a reflected method.
def _gt_from_lt(self, other, NotImplemented=NotImplemented):
'Return a > b. Computed by @total_ordering from (not a < b) and (a != b).'
op_result = self.__lt__(other)
if op_result is NotImplemented:
return op_result
return not op_result and self != other
def _le_from_lt(self, other, NotImplemented=NotImplemented):
'Return a <= b. Computed by @total_ordering from (a < b) or (a == b).'
op_result = self.__lt__(other)
return op_result or self == other
def _ge_from_lt(self, other, NotImplemented=NotImplemented):
'Return a >= b. Computed by @total_ordering from (not a < b).'
op_result = self.__lt__(other)
if op_result is NotImplemented:
return op_result
return not op_result
def _ge_from_le(self, other, NotImplemented=NotImplemented):
'Return a >= b. Computed by @total_ordering from (not a <= b) or (a == b).'
op_result = self.__le__(other)
if op_result is NotImplemented:
return op_result
return not op_result or self == other
def _lt_from_le(self, other, NotImplemented=NotImplemented):
'Return a < b. Computed by @total_ordering from (a <= b) and (a != b).'
op_result = self.__le__(other)
if op_result is NotImplemented:
return op_result
return op_result and self != other
def _gt_from_le(self, other, NotImplemented=NotImplemented):
'Return a > b. Computed by @total_ordering from (not a <= b).'
op_result = self.__le__(other)
if op_result is NotImplemented:
return op_result
return not op_result
def _lt_from_gt(self, other, NotImplemented=NotImplemented):
'Return a < b. Computed by @total_ordering from (not a > b) and (a != b).'
op_result = self.__gt__(other)
if op_result is NotImplemented:
return op_result
return not op_result and self != other
def _ge_from_gt(self, other, NotImplemented=NotImplemented):
'Return a >= b. Computed by @total_ordering from (a > b) or (a == b).'
op_result = self.__gt__(other)
return op_result or self == other
def _le_from_gt(self, other, NotImplemented=NotImplemented):
'Return a <= b. Computed by @total_ordering from (not a > b).'
op_result = self.__gt__(other)
if op_result is NotImplemented:
return op_result
return not op_result
def _le_from_ge(self, other, NotImplemented=NotImplemented):
'Return a <= b. Computed by @total_ordering from (not a >= b) or (a == b).'
op_result = self.__ge__(other)
if op_result is NotImplemented:
return op_result
return not op_result or self == other
def _gt_from_ge(self, other, NotImplemented=NotImplemented):
'Return a > b. Computed by @total_ordering from (a >= b) and (a != b).'
op_result = self.__ge__(other)
if op_result is NotImplemented:
return op_result
return op_result and self != other
def _lt_from_ge(self, other, NotImplemented=NotImplemented):
'Return a < b. Computed by @total_ordering from (not a >= b).'
op_result = self.__ge__(other)
if op_result is NotImplemented:
return op_result
return not op_result
_convert = {
'__lt__': [('__gt__', _gt_from_lt),
('__le__', _le_from_lt),
('__ge__', _ge_from_lt)],
'__le__': [('__ge__', _ge_from_le),
('__lt__', _lt_from_le),
('__gt__', _gt_from_le)],
'__gt__': [('__lt__', _lt_from_gt),
('__ge__', _ge_from_gt),
('__le__', _le_from_gt)],
'__ge__': [('__le__', _le_from_ge),
('__gt__', _gt_from_ge),
('__lt__', _lt_from_ge)]
}
def total_ordering(cls):
"""Class decorator that fills in missing ordering methods"""
# Find user-defined comparisons (not those inherited from object).
roots = {op for op in _convert if getattr(cls, op, None) is not getattr(object, op, None)}
if not roots:
raise ValueError('must define at least one ordering operation: < > <= >=')
root = max(roots) # prefer __lt__ to __le__ to __gt__ to __ge__
for opname, opfunc in _convert[root]:
if opname not in roots:
opfunc.__name__ = opname
setattr(cls, opname, opfunc)
return cls
################################################################################
### cmp_to_key() function converter
################################################################################
def cmp_to_key(mycmp):
"""Convert a cmp= function into a key= function"""
class K(object):
__slots__ = ['obj']
def __init__(self, obj):
self.obj = obj
def __lt__(self, other):
return mycmp(self.obj, other.obj) < 0
def __gt__(self, other):
return mycmp(self.obj, other.obj) > 0
def __eq__(self, other):
return mycmp(self.obj, other.obj) == 0
def __le__(self, other):
return mycmp(self.obj, other.obj) <= 0
def __ge__(self, other):
return mycmp(self.obj, other.obj) >= 0
__hash__ = None
return K
try:
from _functools import cmp_to_key
except ImportError:
pass
################################################################################
### partial() argument application
################################################################################
# Purely functional, no descriptor behaviour
class partial:
"""New function with partial application of the given arguments
and keywords.
"""
__slots__ = "func", "args", "keywords", "__dict__", "__weakref__"
def __new__(*args, **keywords):
if not args:
raise TypeError("descriptor '__new__' of partial needs an argument")
if len(args) < 2:
raise TypeError("type 'partial' takes at least one argument")
cls, func, *args = args
if not callable(func):
raise TypeError("the first argument must be callable")
args = tuple(args)
if hasattr(func, "func"):
args = func.args + args
tmpkw = func.keywords.copy()
tmpkw.update(keywords)
keywords = tmpkw
del tmpkw
func = func.func
self = super(partial, cls).__new__(cls)
self.func = func
self.args = args
self.keywords = keywords
return self
def __call__(*args, **keywords):
if not args:
raise TypeError("descriptor '__call__' of partial needs an argument")
self, *args = args
newkeywords = self.keywords.copy()
newkeywords.update(keywords)
return self.func(*self.args, *args, **newkeywords)
@recursive_repr()
def __repr__(self):
qualname = type(self).__qualname__
args = [repr(self.func)]
args.extend(repr(x) for x in self.args)
args.extend(f"{k}={v!r}" for (k, v) in self.keywords.items())
if type(self).__module__ == "functools":
return f"functools.{qualname}({', '.join(args)})"
return f"{qualname}({', '.join(args)})"
def __reduce__(self):
return type(self), (self.func,), (self.func, self.args,
self.keywords or None, self.__dict__ or None)
def __setstate__(self, state):
if not isinstance(state, tuple):
raise TypeError("argument to __setstate__ must be a tuple")
if len(state) != 4:
raise TypeError(f"expected 4 items in state, got {len(state)}")
func, args, kwds, namespace = state
if (not callable(func) or not isinstance(args, tuple) or
(kwds is not None and not isinstance(kwds, dict)) or
(namespace is not None and not isinstance(namespace, dict))):
raise TypeError("invalid partial state")
args = tuple(args) # just in case it's a subclass
if kwds is None:
kwds = {}
elif type(kwds) is not dict: # XXX does it need to be *exactly* dict?
kwds = dict(kwds)
if namespace is None:
namespace = {}
self.__dict__ = namespace
self.func = func
self.args = args
self.keywords = kwds
try:
from _functools import partial
except ImportError:
pass
# Descriptor version
class partialmethod(object):
"""Method descriptor with partial application of the given arguments
and keywords.
Supports wrapping existing descriptors and handles non-descriptor
callables as instance methods.
"""
def __init__(self, func, *args, **keywords):
if not callable(func) and not hasattr(func, "__get__"):
raise TypeError("{!r} is not callable or a descriptor"
.format(func))
# func could be a descriptor like classmethod which isn't callable,
# so we can't inherit from partial (it verifies func is callable)
if isinstance(func, partialmethod):
# flattening is mandatory in order to place cls/self before all
# other arguments
# it's also more efficient since only one function will be called
self.func = func.func
self.args = func.args + args
self.keywords = func.keywords.copy()
self.keywords.update(keywords)
else:
self.func = func
self.args = args
self.keywords = keywords
def __repr__(self):
args = ", ".join(map(repr, self.args))
keywords = ", ".join("{}={!r}".format(k, v)
for k, v in self.keywords.items())
format_string = "{module}.{cls}({func}, {args}, {keywords})"
return format_string.format(module=self.__class__.__module__,
cls=self.__class__.__qualname__,
func=self.func,
args=args,
keywords=keywords)
def _make_unbound_method(self):
def _method(*args, **keywords):
call_keywords = self.keywords.copy()
call_keywords.update(keywords)
cls_or_self, *rest = args
call_args = (cls_or_self,) + self.args + tuple(rest)
return self.func(*call_args, **call_keywords)
_method.__isabstractmethod__ = self.__isabstractmethod__
_method._partialmethod = self
return _method
def __get__(self, obj, cls):
get = getattr(self.func, "__get__", None)
result = None
if get is not None:
new_func = get(obj, cls)
if new_func is not self.func:
# Assume __get__ returning something new indicates the
# creation of an appropriate callable
result = partial(new_func, *self.args, **self.keywords)
try:
result.__self__ = new_func.__self__
except AttributeError:
pass
if result is None:
# If the underlying descriptor didn't do anything, treat this
# like an instance method
result = self._make_unbound_method().__get__(obj, cls)
return result
@property
def __isabstractmethod__(self):
return getattr(self.func, "__isabstractmethod__", False)
################################################################################
### LRU Cache function decorator
################################################################################
_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])
class _HashedSeq(list):
""" This class guarantees that hash() will be called no more than once
per element. This is important because the lru_cache() will hash
the key multiple times on a cache miss.
"""
__slots__ = 'hashvalue'
def __init__(self, tup, hash=hash):
self[:] = tup
self.hashvalue = hash(tup)
def __hash__(self):
return self.hashvalue
def _make_key(args, kwds, typed,
kwd_mark = (object(),),
fasttypes = {int, str, frozenset, type(None)},
tuple=tuple, type=type, len=len):
"""Make a cache key from optionally typed positional and keyword arguments
The key is constructed in a way that is flat as possible rather than
as a nested structure that would take more memory.
If there is only a single argument and its data type is known to cache
its hash value, then that argument is returned without a wrapper. This
saves space and improves lookup speed.
"""
# All of code below relies on kwds preserving the order input by the user.
# Formerly, we sorted() the kwds before looping. The new way is *much*
# faster; however, it means that f(x=1, y=2) will now be treated as a
# distinct call from f(y=2, x=1) which will be cached separately.
key = args
if kwds:
key += kwd_mark
for item in kwds.items():
key += item
if typed:
key += tuple(type(v) for v in args)
if kwds:
key += tuple(type(v) for v in kwds.values())
elif len(key) == 1 and type(key[0]) in fasttypes:
return key[0]
return _HashedSeq(key)
def lru_cache(maxsize=128, typed=False):
"""Least-recently-used cache decorator.
If *maxsize* is set to None, the LRU features are disabled and the cache
can grow without bound.
If *typed* is True, arguments of different types will be cached separately.
For example, f(3.0) and f(3) will be treated as distinct calls with
distinct results.
Arguments to the cached function must be hashable.
View the cache statistics named tuple (hits, misses, maxsize, currsize)
with f.cache_info(). Clear the cache and statistics with f.cache_clear().
Access the underlying function with f.__wrapped__.
See: http://en.wikipedia.org/wiki/Cache_algorithms#Least_Recently_Used
"""
# Users should only access the lru_cache through its public API:
# cache_info, cache_clear, and f.__wrapped__
# The internals of the lru_cache are encapsulated for thread safety and
# to allow the implementation to change (including a possible C version).
# Early detection of an erroneous call to @lru_cache without any arguments
# resulting in the inner function being passed to maxsize instead of an
# integer or None.
if maxsize is not None and not isinstance(maxsize, int):
raise TypeError('Expected maxsize to be an integer or None')
def decorating_function(user_function):
wrapper = _lru_cache_wrapper(user_function, maxsize, typed, _CacheInfo)
return update_wrapper(wrapper, user_function)
return decorating_function
def _lru_cache_wrapper(user_function, maxsize, typed, _CacheInfo):
# Constants shared by all lru cache instances:
sentinel = object() # unique object used to signal cache misses
make_key = _make_key # build a key from the function arguments
PREV, NEXT, KEY, RESULT = 0, 1, 2, 3 # names for the link fields
cache = {}
hits = misses = 0
full = False
cache_get = cache.get # bound method to lookup a key or return None
cache_len = cache.__len__ # get cache size without calling len()
lock = RLock() # because linkedlist updates aren't threadsafe
root = [] # root of the circular doubly linked list
root[:] = [root, root, None, None] # initialize by pointing to self
if maxsize == 0:
def wrapper(*args, **kwds):
# No caching -- just a statistics update after a successful call
nonlocal misses
result = user_function(*args, **kwds)
misses += 1
return result
elif maxsize is None:
def wrapper(*args, **kwds):
# Simple caching without ordering or size limit
nonlocal hits, misses
key = make_key(args, kwds, typed)
result = cache_get(key, sentinel)
if result is not sentinel:
hits += 1
return result
result = user_function(*args, **kwds)
cache[key] = result
misses += 1
return result
else:
def wrapper(*args, **kwds):
# Size limited caching that tracks accesses by recency
nonlocal root, hits, misses, full
key = make_key(args, kwds, typed)
with lock:
link = cache_get(key)
if link is not None:
# Move the link to the front of the circular queue
link_prev, link_next, _key, result = link
link_prev[NEXT] = link_next
link_next[PREV] = link_prev
last = root[PREV]
last[NEXT] = root[PREV] = link
link[PREV] = last
link[NEXT] = root
hits += 1
return result
result = user_function(*args, **kwds)
with lock:
if key in cache:
# Getting here means that this same key was added to the
# cache while the lock was released. Since the link
# update is already done, we need only return the
# computed result and update the count of misses.
pass
elif full:
# Use the old root to store the new key and result.
oldroot = root
oldroot[KEY] = key
oldroot[RESULT] = result
# Empty the oldest link and make it the new root.
# Keep a reference to the old key and old result to
# prevent their ref counts from going to zero during the
# update. That will prevent potentially arbitrary object
# clean-up code (i.e. __del__) from running while we're
# still adjusting the links.
root = oldroot[NEXT]
oldkey = root[KEY]
oldresult = root[RESULT]
root[KEY] = root[RESULT] = None
# Now update the cache dictionary.
del cache[oldkey]
# Save the potentially reentrant cache[key] assignment
# for last, after the root and links have been put in
# a consistent state.
cache[key] = oldroot
else:
# Put result in a new link at the front of the queue.
last = root[PREV]
link = [last, root, key, result]
last[NEXT] = root[PREV] = cache[key] = link
# Use the cache_len bound method instead of the len() function
# which could potentially be wrapped in an lru_cache itself.
full = (cache_len() >= maxsize)
misses += 1
return result
def cache_info():
"""Report cache statistics"""
with lock:
return _CacheInfo(hits, misses, maxsize, cache_len())
def cache_clear():
"""Clear the cache and cache statistics"""
nonlocal hits, misses, full
with lock:
cache.clear()
root[:] = [root, root, None, None]
hits = misses = 0
full = False
wrapper.cache_info = cache_info
wrapper.cache_clear = cache_clear
return wrapper
try:
from _functools import _lru_cache_wrapper
except ImportError:
pass
################################################################################
### singledispatch() - single-dispatch generic function decorator
################################################################################
def _c3_merge(sequences):
"""Merges MROs in *sequences* to a single MRO using the C3 algorithm.
Adapted from http://www.python.org/download/releases/2.3/mro/.
"""
result = []
while True:
sequences = [s for s in sequences if s] # purge empty sequences
if not sequences:
return result
for s1 in sequences: # find merge candidates among seq heads
candidate = s1[0]
for s2 in sequences:
if candidate in s2[1:]:
candidate = None
break # reject the current head, it appears later
else:
break
if candidate is None:
raise RuntimeError("Inconsistent hierarchy")
result.append(candidate)
# remove the chosen candidate
for seq in sequences:
if seq[0] == candidate:
del seq[0]
def _c3_mro(cls, abcs=None):
"""Computes the method resolution order using extended C3 linearization.
If no *abcs* are given, the algorithm works exactly like the built-in C3
linearization used for method resolution.
If given, *abcs* is a list of abstract base classes that should be inserted
into the resulting MRO. Unrelated ABCs are ignored and don't end up in the
result. The algorithm inserts ABCs where their functionality is introduced,
i.e. issubclass(cls, abc) returns True for the class itself but returns
False for all its direct base classes. Implicit ABCs for a given class
(either registered or inferred from the presence of a special method like
__len__) are inserted directly after the last ABC explicitly listed in the
MRO of said class. If two implicit ABCs end up next to each other in the
resulting MRO, their ordering depends on the order of types in *abcs*.
"""
for i, base in enumerate(reversed(cls.__bases__)):
if hasattr(base, '__abstractmethods__'):
boundary = len(cls.__bases__) - i
break # Bases up to the last explicit ABC are considered first.
else:
boundary = 0
abcs = list(abcs) if abcs else []
explicit_bases = list(cls.__bases__[:boundary])
abstract_bases = []
other_bases = list(cls.__bases__[boundary:])
for base in abcs:
if issubclass(cls, base) and not any(
issubclass(b, base) for b in cls.__bases__
):
# If *cls* is the class that introduces behaviour described by
# an ABC *base*, insert said ABC to its MRO.
abstract_bases.append(base)
for base in abstract_bases:
abcs.remove(base)
explicit_c3_mros = [_c3_mro(base, abcs=abcs) for base in explicit_bases]
abstract_c3_mros = [_c3_mro(base, abcs=abcs) for base in abstract_bases]
other_c3_mros = [_c3_mro(base, abcs=abcs) for base in other_bases]
return _c3_merge(
[[cls]] +
explicit_c3_mros + abstract_c3_mros + other_c3_mros +
[explicit_bases] + [abstract_bases] + [other_bases]
)
def _compose_mro(cls, types):
"""Calculates the method resolution order for a given class *cls*.
Includes relevant abstract base classes (with their respective bases) from
the *types* iterable. Uses a modified C3 linearization algorithm.
"""
bases = set(cls.__mro__)
# Remove entries which are already present in the __mro__ or unrelated.
def is_related(typ):
return (typ not in bases and hasattr(typ, '__mro__')
and issubclass(cls, typ))
types = [n for n in types if is_related(n)]
# Remove entries which are strict bases of other entries (they will end up
# in the MRO anyway.
def is_strict_base(typ):
for other in types:
if typ != other and typ in other.__mro__:
return True
return False
types = [n for n in types if not is_strict_base(n)]
# Subclasses of the ABCs in *types* which are also implemented by
# *cls* can be used to stabilize ABC ordering.
type_set = set(types)
mro = []
for typ in types:
found = []
for sub in typ.__subclasses__():
if sub not in bases and issubclass(cls, sub):
found.append([s for s in sub.__mro__ if s in type_set])
if not found:
mro.append(typ)
continue
# Favor subclasses with the biggest number of useful bases
found.sort(key=len, reverse=True)
for sub in found:
for subcls in sub:
if subcls not in mro:
mro.append(subcls)
return _c3_mro(cls, abcs=mro)
def _find_impl(cls, registry):
"""Returns the best matching implementation from *registry* for type *cls*.
Where there is no registered implementation for a specific type, its method
resolution order is used to find a more generic implementation.
Note: if *registry* does not contain an implementation for the base
*object* type, this function may return None.
"""
mro = _compose_mro(cls, registry.keys())
match = None
for t in mro:
if match is not None:
# If *match* is an implicit ABC but there is another unrelated,
# equally matching implicit ABC, refuse the temptation to guess.
if (t in registry and t not in cls.__mro__
and match not in cls.__mro__
and not issubclass(match, t)):
raise RuntimeError("Ambiguous dispatch: {} or {}".format(
match, t))
break
if t in registry:
match = t
return registry.get(match)
def singledispatch(func):
"""Single-dispatch generic function decorator.
Transforms a function into a generic function, which can have different
behaviours depending upon the type of its first argument. The decorated
function acts as the default implementation, and additional
implementations can be registered using the register() attribute of the
generic function.
"""
# There are many programs that use functools without singledispatch, so we
# trade-off making singledispatch marginally slower for the benefit of
# making start-up of such applications slightly faster.
import types, weakref
registry = {}
dispatch_cache = weakref.WeakKeyDictionary()
cache_token = None
def dispatch(cls):
"""generic_func.dispatch(cls) -> <function implementation>
Runs the dispatch algorithm to return the best available implementation
for the given *cls* registered on *generic_func*.
"""
nonlocal cache_token
if cache_token is not None:
current_token = get_cache_token()
if cache_token != current_token:
dispatch_cache.clear()
cache_token = current_token
try:
impl = dispatch_cache[cls]
except KeyError:
try:
impl = registry[cls]
except KeyError:
impl = _find_impl(cls, registry)
dispatch_cache[cls] = impl
return impl
def register(cls, func=None):
"""generic_func.register(cls, func) -> func
Registers a new implementation for the given *cls* on a *generic_func*.
"""
nonlocal cache_token
if func is None:
if isinstance(cls, type):
return lambda f: register(cls, f)
ann = getattr(cls, '__annotations__', {})
if not ann:
raise TypeError(
f"Invalid first argument to `register()`: {cls!r}. "
f"Use either `@register(some_class)` or plain `@register` "
f"on an annotated function."
)
func = cls
# only import typing if annotation parsing is necessary
from typing import get_type_hints
argname, cls = next(iter(get_type_hints(func).items()))
assert isinstance(cls, type), (
f"Invalid annotation for {argname!r}. {cls!r} is not a class."
)
registry[cls] = func
if cache_token is None and hasattr(cls, '__abstractmethods__'):
cache_token = get_cache_token()
dispatch_cache.clear()
return func
def wrapper(*args, **kw):
return dispatch(args[0].__class__)(*args, **kw)
registry[object] = func
wrapper.register = register
wrapper.dispatch = dispatch
wrapper.registry = types.MappingProxyType(registry)
wrapper._clear_cache = dispatch_cache.clear
update_wrapper(wrapper, func)
return wrapper
+177
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"""Cache lines from Python source files.
This is intended to read lines from modules imported -- hence if a filename
is not found, it will look down the module search path for a file by
that name.
"""
import functools
import sys
import os
import tokenize
__all__ = ["getline", "clearcache", "checkcache"]
def getline(filename, lineno, module_globals=None):
lines = getlines(filename, module_globals)
if 1 <= lineno <= len(lines):
return lines[lineno-1]
else:
return ''
# The cache
# The cache. Maps filenames to either a thunk which will provide source code,
# or a tuple (size, mtime, lines, fullname) once loaded.
cache = {}
def clearcache():
"""Clear the cache entirely."""
global cache
cache = {}
def getlines(filename, module_globals=None):
"""Get the lines for a Python source file from the cache.
Update the cache if it doesn't contain an entry for this file already."""
if filename in cache:
entry = cache[filename]
if len(entry) != 1:
return cache[filename][2]
try:
return updatecache(filename, module_globals)
except MemoryError:
clearcache()
return []
def checkcache(filename=None):
"""Discard cache entries that are out of date.
(This is not checked upon each call!)"""
if filename is None:
filenames = list(cache.keys())
else:
if filename in cache:
filenames = [filename]
else:
return
for filename in filenames:
entry = cache[filename]
if len(entry) == 1:
# lazy cache entry, leave it lazy.
continue
size, mtime, lines, fullname = entry
if mtime is None:
continue # no-op for files loaded via a __loader__
try:
stat = os.stat(fullname)
except OSError:
del cache[filename]
continue
if size != stat.st_size or mtime != stat.st_mtime:
del cache[filename]
def updatecache(filename, module_globals=None):
"""Update a cache entry and return its list of lines.
If something's wrong, print a message, discard the cache entry,
and return an empty list."""
if filename in cache:
if len(cache[filename]) != 1:
del cache[filename]
if not filename or (filename.startswith('<') and filename.endswith('>')):
return []
fullname = filename
try:
stat = os.stat(fullname)
except OSError:
basename = filename
# Realise a lazy loader based lookup if there is one
# otherwise try to lookup right now.
if lazycache(filename, module_globals):
try:
data = cache[filename][0]()
except (ImportError, OSError):
pass
else:
if data is None:
# No luck, the PEP302 loader cannot find the source
# for this module.
return []
cache[filename] = (
len(data), None,
[line+'\n' for line in data.splitlines()], fullname
)
return cache[filename][2]
# Try looking through the module search path, which is only useful
# when handling a relative filename.
if os.path.isabs(filename):
return []
for dirname in sys.path:
try:
fullname = os.path.join(dirname, basename)
except (TypeError, AttributeError):
# Not sufficiently string-like to do anything useful with.
continue
try:
stat = os.stat(fullname)
break
except OSError:
pass
else:
return []
try:
with tokenize.open(fullname) as fp:
lines = fp.readlines()
except OSError:
return []
if lines and not lines[-1].endswith('\n'):
lines[-1] += '\n'
size, mtime = stat.st_size, stat.st_mtime
cache[filename] = size, mtime, lines, fullname
return lines
def lazycache(filename, module_globals):
"""Seed the cache for filename with module_globals.
The module loader will be asked for the source only when getlines is
called, not immediately.
If there is an entry in the cache already, it is not altered.
:return: True if a lazy load is registered in the cache,
otherwise False. To register such a load a module loader with a
get_source method must be found, the filename must be a cachable
filename, and the filename must not be already cached.
"""
if filename in cache:
if len(cache[filename]) == 1:
return True
else:
return False
if not filename or (filename.startswith('<') and filename.endswith('>')):
return False
# Try for a __loader__, if available
if module_globals and '__loader__' in module_globals:
name = module_globals.get('__name__')
loader = module_globals['__loader__']
get_source = getattr(loader, 'get_source', None)
if name and get_source:
get_lines = functools.partial(get_source, name)
cache[filename] = (get_lines,)
return True
return False
+554
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@@ -0,0 +1,554 @@
"""Python part of the warnings subsystem."""
import sys
__all__ = ["warn", "warn_explicit", "showwarning",
"formatwarning", "filterwarnings", "simplefilter",
"resetwarnings", "catch_warnings"]
def showwarning(message, category, filename, lineno, file=None, line=None):
"""Hook to write a warning to a file; replace if you like."""
msg = WarningMessage(message, category, filename, lineno, file, line)
_showwarnmsg_impl(msg)
def formatwarning(message, category, filename, lineno, line=None):
"""Function to format a warning the standard way."""
msg = WarningMessage(message, category, filename, lineno, None, line)
return _formatwarnmsg_impl(msg)
def _showwarnmsg_impl(msg):
file = msg.file
if file is None:
file = sys.stderr
if file is None:
# sys.stderr is None when run with pythonw.exe:
# warnings get lost
return
text = _formatwarnmsg(msg)
try:
file.write(text)
except OSError:
# the file (probably stderr) is invalid - this warning gets lost.
pass
def _formatwarnmsg_impl(msg):
s = ("%s:%s: %s: %s\n"
% (msg.filename, msg.lineno, msg.category.__name__,
msg.message))
if msg.line is None:
try:
import linecache
line = linecache.getline(msg.filename, msg.lineno)
except Exception:
# When a warning is logged during Python shutdown, linecache
# and the import machinery don't work anymore
line = None
linecache = None
else:
line = msg.line
if line:
line = line.strip()
s += " %s\n" % line
if msg.source is not None:
try:
import tracemalloc
tb = tracemalloc.get_object_traceback(msg.source)
except Exception:
# When a warning is logged during Python shutdown, tracemalloc
# and the import machinery don't work anymore
tb = None
if tb is not None:
s += 'Object allocated at (most recent call last):\n'
for frame in tb:
s += (' File "%s", lineno %s\n'
% (frame.filename, frame.lineno))
try:
if linecache is not None:
line = linecache.getline(frame.filename, frame.lineno)
else:
line = None
except Exception:
line = None
if line:
line = line.strip()
s += ' %s\n' % line
return s
# Keep a reference to check if the function was replaced
_showwarning_orig = showwarning
def _showwarnmsg(msg):
"""Hook to write a warning to a file; replace if you like."""
try:
sw = showwarning
except NameError:
pass
else:
if sw is not _showwarning_orig:
# warnings.showwarning() was replaced
if not callable(sw):
raise TypeError("warnings.showwarning() must be set to a "
"function or method")
sw(msg.message, msg.category, msg.filename, msg.lineno,
msg.file, msg.line)
return
_showwarnmsg_impl(msg)
# Keep a reference to check if the function was replaced
_formatwarning_orig = formatwarning
def _formatwarnmsg(msg):
"""Function to format a warning the standard way."""
try:
fw = formatwarning
except NameError:
pass
else:
if fw is not _formatwarning_orig:
# warnings.formatwarning() was replaced
return fw(msg.message, msg.category,
msg.filename, msg.lineno, line=msg.line)
return _formatwarnmsg_impl(msg)
def filterwarnings(action, message="", category=Warning, module="", lineno=0,
append=False):
"""Insert an entry into the list of warnings filters (at the front).
'action' -- one of "error", "ignore", "always", "default", "module",
or "once"
'message' -- a regex that the warning message must match
'category' -- a class that the warning must be a subclass of
'module' -- a regex that the module name must match
'lineno' -- an integer line number, 0 matches all warnings
'append' -- if true, append to the list of filters
"""
assert action in ("error", "ignore", "always", "default", "module",
"once"), "invalid action: %r" % (action,)
assert isinstance(message, str), "message must be a string"
assert isinstance(category, type), "category must be a class"
assert issubclass(category, Warning), "category must be a Warning subclass"
assert isinstance(module, str), "module must be a string"
assert isinstance(lineno, int) and lineno >= 0, \
"lineno must be an int >= 0"
if message or module:
import re
if message:
message = re.compile(message, re.I)
else:
message = None
if module:
module = re.compile(module)
else:
module = None
_add_filter(action, message, category, module, lineno, append=append)
def simplefilter(action, category=Warning, lineno=0, append=False):
"""Insert a simple entry into the list of warnings filters (at the front).
A simple filter matches all modules and messages.
'action' -- one of "error", "ignore", "always", "default", "module",
or "once"
'category' -- a class that the warning must be a subclass of
'lineno' -- an integer line number, 0 matches all warnings
'append' -- if true, append to the list of filters
"""
assert action in ("error", "ignore", "always", "default", "module",
"once"), "invalid action: %r" % (action,)
assert isinstance(lineno, int) and lineno >= 0, \
"lineno must be an int >= 0"
_add_filter(action, None, category, None, lineno, append=append)
def _add_filter(*item, append):
# Remove possible duplicate filters, so new one will be placed
# in correct place. If append=True and duplicate exists, do nothing.
if not append:
try:
filters.remove(item)
except ValueError:
pass
filters.insert(0, item)
else:
if item not in filters:
filters.append(item)
_filters_mutated()
def resetwarnings():
"""Clear the list of warning filters, so that no filters are active."""
filters[:] = []
_filters_mutated()
class _OptionError(Exception):
"""Exception used by option processing helpers."""
pass
# Helper to process -W options passed via sys.warnoptions
def _processoptions(args):
for arg in args:
try:
_setoption(arg)
except _OptionError as msg:
print("Invalid -W option ignored:", msg, file=sys.stderr)
# Helper for _processoptions()
def _setoption(arg):
import re
parts = arg.split(':')
if len(parts) > 5:
raise _OptionError("too many fields (max 5): %r" % (arg,))
while len(parts) < 5:
parts.append('')
action, message, category, module, lineno = [s.strip()
for s in parts]
action = _getaction(action)
message = re.escape(message)
category = _getcategory(category)
module = re.escape(module)
if module:
module = module + '$'
if lineno:
try:
lineno = int(lineno)
if lineno < 0:
raise ValueError
except (ValueError, OverflowError):
raise _OptionError("invalid lineno %r" % (lineno,)) from None
else:
lineno = 0
filterwarnings(action, message, category, module, lineno)
# Helper for _setoption()
def _getaction(action):
if not action:
return "default"
if action == "all": return "always" # Alias
for a in ('default', 'always', 'ignore', 'module', 'once', 'error'):
if a.startswith(action):
return a
raise _OptionError("invalid action: %r" % (action,))
# Helper for _setoption()
def _getcategory(category):
import re
if not category:
return Warning
if re.match("^[a-zA-Z0-9_]+$", category):
try:
cat = eval(category)
except NameError:
raise _OptionError("unknown warning category: %r" % (category,)) from None
else:
i = category.rfind(".")
module = category[:i]
klass = category[i+1:]
try:
m = __import__(module, None, None, [klass])
except ImportError:
raise _OptionError("invalid module name: %r" % (module,)) from None
try:
cat = getattr(m, klass)
except AttributeError:
raise _OptionError("unknown warning category: %r" % (category,)) from None
if not issubclass(cat, Warning):
raise _OptionError("invalid warning category: %r" % (category,))
return cat
def _is_internal_frame(frame):
"""Signal whether the frame is an internal CPython implementation detail."""
filename = frame.f_code.co_filename
return 'importlib' in filename and '_bootstrap' in filename
def _next_external_frame(frame):
"""Find the next frame that doesn't involve CPython internals."""
frame = frame.f_back
while frame is not None and _is_internal_frame(frame):
frame = frame.f_back
return frame
# Code typically replaced by _warnings
def warn(message, category=None, stacklevel=1, source=None):
"""Issue a warning, or maybe ignore it or raise an exception."""
# Check if message is already a Warning object
if isinstance(message, Warning):
category = message.__class__
# Check category argument
if category is None:
category = UserWarning
if not (isinstance(category, type) and issubclass(category, Warning)):
raise TypeError("category must be a Warning subclass, "
"not '{:s}'".format(type(category).__name__))
# Get context information
try:
if stacklevel <= 1 or _is_internal_frame(sys._getframe(1)):
# If frame is too small to care or if the warning originated in
# internal code, then do not try to hide any frames.
frame = sys._getframe(stacklevel)
else:
frame = sys._getframe(1)
# Look for one frame less since the above line starts us off.
for x in range(stacklevel-1):
frame = _next_external_frame(frame)
if frame is None:
raise ValueError
except ValueError:
globals = sys.__dict__
lineno = 1
else:
globals = frame.f_globals
lineno = frame.f_lineno
if '__name__' in globals:
module = globals['__name__']
else:
module = "<string>"
filename = globals.get('__file__')
if filename:
fnl = filename.lower()
if fnl.endswith(".pyc"):
filename = filename[:-1]
else:
if module == "__main__":
try:
filename = sys.argv[0]
except AttributeError:
# embedded interpreters don't have sys.argv, see bug #839151
filename = '__main__'
if not filename:
filename = module
registry = globals.setdefault("__warningregistry__", {})
warn_explicit(message, category, filename, lineno, module, registry,
globals, source)
def warn_explicit(message, category, filename, lineno,
module=None, registry=None, module_globals=None,
source=None):
lineno = int(lineno)
if module is None:
module = filename or "<unknown>"
if module[-3:].lower() == ".py":
module = module[:-3] # XXX What about leading pathname?
if registry is None:
registry = {}
if registry.get('version', 0) != _filters_version:
registry.clear()
registry['version'] = _filters_version
if isinstance(message, Warning):
text = str(message)
category = message.__class__
else:
text = message
message = category(message)
key = (text, category, lineno)
# Quick test for common case
if registry.get(key):
return
# Search the filters
for item in filters:
action, msg, cat, mod, ln = item
if ((msg is None or msg.match(text)) and
issubclass(category, cat) and
(mod is None or mod.match(module)) and
(ln == 0 or lineno == ln)):
break
else:
action = defaultaction
# Early exit actions
if action == "ignore":
return
# Prime the linecache for formatting, in case the
# "file" is actually in a zipfile or something.
import linecache
linecache.getlines(filename, module_globals)
if action == "error":
raise message
# Other actions
if action == "once":
registry[key] = 1
oncekey = (text, category)
if onceregistry.get(oncekey):
return
onceregistry[oncekey] = 1
elif action == "always":
pass
elif action == "module":
registry[key] = 1
altkey = (text, category, 0)
if registry.get(altkey):
return
registry[altkey] = 1
elif action == "default":
registry[key] = 1
else:
# Unrecognized actions are errors
raise RuntimeError(
"Unrecognized action (%r) in warnings.filters:\n %s" %
(action, item))
# Print message and context
msg = WarningMessage(message, category, filename, lineno, source)
_showwarnmsg(msg)
class WarningMessage(object):
_WARNING_DETAILS = ("message", "category", "filename", "lineno", "file",
"line", "source")
def __init__(self, message, category, filename, lineno, file=None,
line=None, source=None):
self.message = message
self.category = category
self.filename = filename
self.lineno = lineno
self.file = file
self.line = line
self.source = source
self._category_name = category.__name__ if category else None
def __str__(self):
return ("{message : %r, category : %r, filename : %r, lineno : %s, "
"line : %r}" % (self.message, self._category_name,
self.filename, self.lineno, self.line))
class catch_warnings(object):
"""A context manager that copies and restores the warnings filter upon
exiting the context.
The 'record' argument specifies whether warnings should be captured by a
custom implementation of warnings.showwarning() and be appended to a list
returned by the context manager. Otherwise None is returned by the context
manager. The objects appended to the list are arguments whose attributes
mirror the arguments to showwarning().
The 'module' argument is to specify an alternative module to the module
named 'warnings' and imported under that name. This argument is only useful
when testing the warnings module itself.
"""
def __init__(self, *, record=False, module=None):
"""Specify whether to record warnings and if an alternative module
should be used other than sys.modules['warnings'].
For compatibility with Python 3.0, please consider all arguments to be
keyword-only.
"""
self._record = record
self._module = sys.modules['warnings'] if module is None else module
self._entered = False
def __repr__(self):
args = []
if self._record:
args.append("record=True")
if self._module is not sys.modules['warnings']:
args.append("module=%r" % self._module)
name = type(self).__name__
return "%s(%s)" % (name, ", ".join(args))
def __enter__(self):
if self._entered:
raise RuntimeError("Cannot enter %r twice" % self)
self._entered = True
self._filters = self._module.filters
self._module.filters = self._filters[:]
self._module._filters_mutated()
self._showwarning = self._module.showwarning
self._showwarnmsg_impl = self._module._showwarnmsg_impl
if self._record:
log = []
self._module._showwarnmsg_impl = log.append
# Reset showwarning() to the default implementation to make sure
# that _showwarnmsg() calls _showwarnmsg_impl()
self._module.showwarning = self._module._showwarning_orig
return log
else:
return None
def __exit__(self, *exc_info):
if not self._entered:
raise RuntimeError("Cannot exit %r without entering first" % self)
self._module.filters = self._filters
self._module._filters_mutated()
self._module.showwarning = self._showwarning
self._module._showwarnmsg_impl = self._showwarnmsg_impl
# Private utility function called by _PyErr_WarnUnawaitedCoroutine
def _warn_unawaited_coroutine(coro):
msg_lines = [
f"coroutine '{coro.__qualname__}' was never awaited\n"
]
if coro.cr_origin is not None:
import linecache, traceback
def extract():
for filename, lineno, funcname in reversed(coro.cr_origin):
line = linecache.getline(filename, lineno)
yield (filename, lineno, funcname, line)
msg_lines.append("Coroutine created at (most recent call last)\n")
msg_lines += traceback.format_list(list(extract()))
msg = "".join(msg_lines).rstrip("\n")
# Passing source= here means that if the user happens to have tracemalloc
# enabled and tracking where the coroutine was created, the warning will
# contain that traceback. This does mean that if they have *both*
# coroutine origin tracking *and* tracemalloc enabled, they'll get two
# partially-redundant tracebacks. If we wanted to be clever we could
# probably detect this case and avoid it, but for now we don't bother.
warn(msg, category=RuntimeWarning, stacklevel=2, source=coro)
# filters contains a sequence of filter 5-tuples
# The components of the 5-tuple are:
# - an action: error, ignore, always, default, module, or once
# - a compiled regex that must match the warning message
# - a class representing the warning category
# - a compiled regex that must match the module that is being warned
# - a line number for the line being warning, or 0 to mean any line
# If either if the compiled regexs are None, match anything.
try:
from _warnings import (filters, _defaultaction, _onceregistry,
warn, warn_explicit, _filters_mutated)
defaultaction = _defaultaction
onceregistry = _onceregistry
_warnings_defaults = True
except ImportError:
filters = []
defaultaction = "default"
onceregistry = {}
_filters_version = 1
def _filters_mutated():
global _filters_version
_filters_version += 1
_warnings_defaults = False
# Module initialization
_processoptions(sys.warnoptions)
if not _warnings_defaults:
# Several warning categories are ignored by default in regular builds
if not hasattr(sys, 'gettotalrefcount'):
filterwarnings("default", category=DeprecationWarning,
module="__main__", append=1)
simplefilter("ignore", category=DeprecationWarning, append=1)
simplefilter("ignore", category=PendingDeprecationWarning, append=1)
simplefilter("ignore", category=ImportWarning, append=1)
simplefilter("ignore", category=ResourceWarning, append=1)
del _warnings_defaults
+632
View File
@@ -0,0 +1,632 @@
"""Weak reference support for Python.
This module is an implementation of PEP 205:
http://www.python.org/dev/peps/pep-0205/
"""
# Naming convention: Variables named "wr" are weak reference objects;
# they are called this instead of "ref" to avoid name collisions with
# the module-global ref() function imported from _weakref.
from _weakref import (
getweakrefcount,
getweakrefs,
ref,
proxy,
CallableProxyType,
ProxyType,
ReferenceType,
_remove_dead_weakref)
from _weakrefset import WeakSet, _IterationGuard
import _collections_abc # Import after _weakref to avoid circular import.
import sys
import itertools
ProxyTypes = (ProxyType, CallableProxyType)
__all__ = ["ref", "proxy", "getweakrefcount", "getweakrefs",
"WeakKeyDictionary", "ReferenceType", "ProxyType",
"CallableProxyType", "ProxyTypes", "WeakValueDictionary",
"WeakSet", "WeakMethod", "finalize"]
class WeakMethod(ref):
"""
A custom `weakref.ref` subclass which simulates a weak reference to
a bound method, working around the lifetime problem of bound methods.
"""
__slots__ = "_func_ref", "_meth_type", "_alive", "__weakref__"
def __new__(cls, meth, callback=None):
try:
obj = meth.__self__
func = meth.__func__
except AttributeError:
raise TypeError("argument should be a bound method, not {}"
.format(type(meth))) from None
def _cb(arg):
# The self-weakref trick is needed to avoid creating a reference
# cycle.
self = self_wr()
if self._alive:
self._alive = False
if callback is not None:
callback(self)
self = ref.__new__(cls, obj, _cb)
self._func_ref = ref(func, _cb)
self._meth_type = type(meth)
self._alive = True
self_wr = ref(self)
return self
def __call__(self):
obj = super().__call__()
func = self._func_ref()
if obj is None or func is None:
return None
return self._meth_type(func, obj)
def __eq__(self, other):
if isinstance(other, WeakMethod):
if not self._alive or not other._alive:
return self is other
return ref.__eq__(self, other) and self._func_ref == other._func_ref
return False
def __ne__(self, other):
if isinstance(other, WeakMethod):
if not self._alive or not other._alive:
return self is not other
return ref.__ne__(self, other) or self._func_ref != other._func_ref
return True
__hash__ = ref.__hash__
class WeakValueDictionary(_collections_abc.MutableMapping):
"""Mapping class that references values weakly.
Entries in the dictionary will be discarded when no strong
reference to the value exists anymore
"""
# We inherit the constructor without worrying about the input
# dictionary; since it uses our .update() method, we get the right
# checks (if the other dictionary is a WeakValueDictionary,
# objects are unwrapped on the way out, and we always wrap on the
# way in).
def __init__(*args, **kw):
if not args:
raise TypeError("descriptor '__init__' of 'WeakValueDictionary' "
"object needs an argument")
self, *args = args
if len(args) > 1:
raise TypeError('expected at most 1 arguments, got %d' % len(args))
def remove(wr, selfref=ref(self), _atomic_removal=_remove_dead_weakref):
self = selfref()
if self is not None:
if self._iterating:
self._pending_removals.append(wr.key)
else:
# Atomic removal is necessary since this function
# can be called asynchronously by the GC
_atomic_removal(d, wr.key)
self._remove = remove
# A list of keys to be removed
self._pending_removals = []
self._iterating = set()
self.data = d = {}
self.update(*args, **kw)
def _commit_removals(self):
l = self._pending_removals
d = self.data
# We shouldn't encounter any KeyError, because this method should
# always be called *before* mutating the dict.
while l:
key = l.pop()
_remove_dead_weakref(d, key)
def __getitem__(self, key):
if self._pending_removals:
self._commit_removals()
o = self.data[key]()
if o is None:
raise KeyError(key)
else:
return o
def __delitem__(self, key):
if self._pending_removals:
self._commit_removals()
del self.data[key]
def __len__(self):
if self._pending_removals:
self._commit_removals()
return len(self.data)
def __contains__(self, key):
if self._pending_removals:
self._commit_removals()
try:
o = self.data[key]()
except KeyError:
return False
return o is not None
def __repr__(self):
return "<%s at %#x>" % (self.__class__.__name__, id(self))
def __setitem__(self, key, value):
if self._pending_removals:
self._commit_removals()
self.data[key] = KeyedRef(value, self._remove, key)
def copy(self):
if self._pending_removals:
self._commit_removals()
new = WeakValueDictionary()
for key, wr in self.data.items():
o = wr()
if o is not None:
new[key] = o
return new
__copy__ = copy
def __deepcopy__(self, memo):
from copy import deepcopy
if self._pending_removals:
self._commit_removals()
new = self.__class__()
for key, wr in self.data.items():
o = wr()
if o is not None:
new[deepcopy(key, memo)] = o
return new
def get(self, key, default=None):
if self._pending_removals:
self._commit_removals()
try:
wr = self.data[key]
except KeyError:
return default
else:
o = wr()
if o is None:
# This should only happen
return default
else:
return o
def items(self):
if self._pending_removals:
self._commit_removals()
with _IterationGuard(self):
for k, wr in self.data.items():
v = wr()
if v is not None:
yield k, v
def keys(self):
if self._pending_removals:
self._commit_removals()
with _IterationGuard(self):
for k, wr in self.data.items():
if wr() is not None:
yield k
__iter__ = keys
def itervaluerefs(self):
"""Return an iterator that yields the weak references to the values.
The references are not guaranteed to be 'live' at the time
they are used, so the result of calling the references needs
to be checked before being used. This can be used to avoid
creating references that will cause the garbage collector to
keep the values around longer than needed.
"""
if self._pending_removals:
self._commit_removals()
with _IterationGuard(self):
yield from self.data.values()
def values(self):
if self._pending_removals:
self._commit_removals()
with _IterationGuard(self):
for wr in self.data.values():
obj = wr()
if obj is not None:
yield obj
def popitem(self):
if self._pending_removals:
self._commit_removals()
while True:
key, wr = self.data.popitem()
o = wr()
if o is not None:
return key, o
def pop(self, key, *args):
if self._pending_removals:
self._commit_removals()
try:
o = self.data.pop(key)()
except KeyError:
o = None
if o is None:
if args:
return args[0]
else:
raise KeyError(key)
else:
return o
def setdefault(self, key, default=None):
try:
o = self.data[key]()
except KeyError:
o = None
if o is None:
if self._pending_removals:
self._commit_removals()
self.data[key] = KeyedRef(default, self._remove, key)
return default
else:
return o
def update(*args, **kwargs):
if not args:
raise TypeError("descriptor 'update' of 'WeakValueDictionary' "
"object needs an argument")
self, *args = args
if len(args) > 1:
raise TypeError('expected at most 1 arguments, got %d' % len(args))
dict = args[0] if args else None
if self._pending_removals:
self._commit_removals()
d = self.data
if dict is not None:
if not hasattr(dict, "items"):
dict = type({})(dict)
for key, o in dict.items():
d[key] = KeyedRef(o, self._remove, key)
if len(kwargs):
self.update(kwargs)
def valuerefs(self):
"""Return a list of weak references to the values.
The references are not guaranteed to be 'live' at the time
they are used, so the result of calling the references needs
to be checked before being used. This can be used to avoid
creating references that will cause the garbage collector to
keep the values around longer than needed.
"""
if self._pending_removals:
self._commit_removals()
return list(self.data.values())
class KeyedRef(ref):
"""Specialized reference that includes a key corresponding to the value.
This is used in the WeakValueDictionary to avoid having to create
a function object for each key stored in the mapping. A shared
callback object can use the 'key' attribute of a KeyedRef instead
of getting a reference to the key from an enclosing scope.
"""
__slots__ = "key",
def __new__(type, ob, callback, key):
self = ref.__new__(type, ob, callback)
self.key = key
return self
def __init__(self, ob, callback, key):
super().__init__(ob, callback)
class WeakKeyDictionary(_collections_abc.MutableMapping):
""" Mapping class that references keys weakly.
Entries in the dictionary will be discarded when there is no
longer a strong reference to the key. This can be used to
associate additional data with an object owned by other parts of
an application without adding attributes to those objects. This
can be especially useful with objects that override attribute
accesses.
"""
def __init__(self, dict=None):
self.data = {}
def remove(k, selfref=ref(self)):
self = selfref()
if self is not None:
if self._iterating:
self._pending_removals.append(k)
else:
del self.data[k]
self._remove = remove
# A list of dead weakrefs (keys to be removed)
self._pending_removals = []
self._iterating = set()
self._dirty_len = False
if dict is not None:
self.update(dict)
def _commit_removals(self):
# NOTE: We don't need to call this method before mutating the dict,
# because a dead weakref never compares equal to a live weakref,
# even if they happened to refer to equal objects.
# However, it means keys may already have been removed.
l = self._pending_removals
d = self.data
while l:
try:
del d[l.pop()]
except KeyError:
pass
def _scrub_removals(self):
d = self.data
self._pending_removals = [k for k in self._pending_removals if k in d]
self._dirty_len = False
def __delitem__(self, key):
self._dirty_len = True
del self.data[ref(key)]
def __getitem__(self, key):
return self.data[ref(key)]
def __len__(self):
if self._dirty_len and self._pending_removals:
# self._pending_removals may still contain keys which were
# explicitly removed, we have to scrub them (see issue #21173).
self._scrub_removals()
return len(self.data) - len(self._pending_removals)
def __repr__(self):
return "<%s at %#x>" % (self.__class__.__name__, id(self))
def __setitem__(self, key, value):
self.data[ref(key, self._remove)] = value
def copy(self):
new = WeakKeyDictionary()
for key, value in self.data.items():
o = key()
if o is not None:
new[o] = value
return new
__copy__ = copy
def __deepcopy__(self, memo):
from copy import deepcopy
new = self.__class__()
for key, value in self.data.items():
o = key()
if o is not None:
new[o] = deepcopy(value, memo)
return new
def get(self, key, default=None):
return self.data.get(ref(key),default)
def __contains__(self, key):
try:
wr = ref(key)
except TypeError:
return False
return wr in self.data
def items(self):
with _IterationGuard(self):
for wr, value in self.data.items():
key = wr()
if key is not None:
yield key, value
def keys(self):
with _IterationGuard(self):
for wr in self.data:
obj = wr()
if obj is not None:
yield obj
__iter__ = keys
def values(self):
with _IterationGuard(self):
for wr, value in self.data.items():
if wr() is not None:
yield value
def keyrefs(self):
"""Return a list of weak references to the keys.
The references are not guaranteed to be 'live' at the time
they are used, so the result of calling the references needs
to be checked before being used. This can be used to avoid
creating references that will cause the garbage collector to
keep the keys around longer than needed.
"""
return list(self.data)
def popitem(self):
self._dirty_len = True
while True:
key, value = self.data.popitem()
o = key()
if o is not None:
return o, value
def pop(self, key, *args):
self._dirty_len = True
return self.data.pop(ref(key), *args)
def setdefault(self, key, default=None):
return self.data.setdefault(ref(key, self._remove),default)
def update(self, dict=None, **kwargs):
d = self.data
if dict is not None:
if not hasattr(dict, "items"):
dict = type({})(dict)
for key, value in dict.items():
d[ref(key, self._remove)] = value
if len(kwargs):
self.update(kwargs)
class finalize:
"""Class for finalization of weakrefable objects
finalize(obj, func, *args, **kwargs) returns a callable finalizer
object which will be called when obj is garbage collected. The
first time the finalizer is called it evaluates func(*arg, **kwargs)
and returns the result. After this the finalizer is dead, and
calling it just returns None.
When the program exits any remaining finalizers for which the
atexit attribute is true will be run in reverse order of creation.
By default atexit is true.
"""
# Finalizer objects don't have any state of their own. They are
# just used as keys to lookup _Info objects in the registry. This
# ensures that they cannot be part of a ref-cycle.
__slots__ = ()
_registry = {}
_shutdown = False
_index_iter = itertools.count()
_dirty = False
_registered_with_atexit = False
class _Info:
__slots__ = ("weakref", "func", "args", "kwargs", "atexit", "index")
def __init__(self, obj, func, *args, **kwargs):
if not self._registered_with_atexit:
# We may register the exit function more than once because
# of a thread race, but that is harmless
import atexit
atexit.register(self._exitfunc)
finalize._registered_with_atexit = True
info = self._Info()
info.weakref = ref(obj, self)
info.func = func
info.args = args
info.kwargs = kwargs or None
info.atexit = True
info.index = next(self._index_iter)
self._registry[self] = info
finalize._dirty = True
def __call__(self, _=None):
"""If alive then mark as dead and return func(*args, **kwargs);
otherwise return None"""
info = self._registry.pop(self, None)
if info and not self._shutdown:
return info.func(*info.args, **(info.kwargs or {}))
def detach(self):
"""If alive then mark as dead and return (obj, func, args, kwargs);
otherwise return None"""
info = self._registry.get(self)
obj = info and info.weakref()
if obj is not None and self._registry.pop(self, None):
return (obj, info.func, info.args, info.kwargs or {})
def peek(self):
"""If alive then return (obj, func, args, kwargs);
otherwise return None"""
info = self._registry.get(self)
obj = info and info.weakref()
if obj is not None:
return (obj, info.func, info.args, info.kwargs or {})
@property
def alive(self):
"""Whether finalizer is alive"""
return self in self._registry
@property
def atexit(self):
"""Whether finalizer should be called at exit"""
info = self._registry.get(self)
return bool(info) and info.atexit
@atexit.setter
def atexit(self, value):
info = self._registry.get(self)
if info:
info.atexit = bool(value)
def __repr__(self):
info = self._registry.get(self)
obj = info and info.weakref()
if obj is None:
return '<%s object at %#x; dead>' % (type(self).__name__, id(self))
else:
return '<%s object at %#x; for %r at %#x>' % \
(type(self).__name__, id(self), type(obj).__name__, id(obj))
@classmethod
def _select_for_exit(cls):
# Return live finalizers marked for exit, oldest first
L = [(f,i) for (f,i) in cls._registry.items() if i.atexit]
L.sort(key=lambda item:item[1].index)
return [f for (f,i) in L]
@classmethod
def _exitfunc(cls):
# At shutdown invoke finalizers for which atexit is true.
# This is called once all other non-daemonic threads have been
# joined.
reenable_gc = False
try:
if cls._registry:
import gc
if gc.isenabled():
reenable_gc = True
gc.disable()
pending = None
while True:
if pending is None or finalize._dirty:
pending = cls._select_for_exit()
finalize._dirty = False
if not pending:
break
f = pending.pop()
try:
# gc is disabled, so (assuming no daemonic
# threads) the following is the only line in
# this function which might trigger creation
# of a new finalizer
f()
except Exception:
sys.excepthook(*sys.exc_info())
assert f not in cls._registry
finally:
# prevent any more finalizers from executing during shutdown
finalize._shutdown = True
if reenable_gc:
gc.enable()
+21 -1
View File
@@ -5,8 +5,22 @@
//! - [rust weak struct](https://doc.rust-lang.org/std/rc/struct.Weak.html)
//!
use super::super::pyobject::PyObjectRef;
use crate::pyobject::PyObjectRef;
use crate::vm::VirtualMachine;
use std::rc::Rc;
fn weakref_getweakrefcount(obj: PyObjectRef, _vm: &VirtualMachine) -> usize {
Rc::weak_count(&obj)
}
fn weakref_getweakrefs(_obj: PyObjectRef, vm: &VirtualMachine) -> PyObjectRef {
// TODO: implement this, may require a different gc
vm.ctx.new_list(vec![])
}
fn weakref_remove_dead_weakref(_obj: PyObjectRef, _key: PyObjectRef, _vm: &VirtualMachine) {
// TODO
}
pub fn make_module(vm: &VirtualMachine) -> PyObjectRef {
let ctx = &vm.ctx;
@@ -14,5 +28,11 @@ pub fn make_module(vm: &VirtualMachine) -> PyObjectRef {
py_module!(vm, "_weakref", {
"ref" => ctx.weakref_type(),
"proxy" => ctx.weakproxy_type(),
"getweakrefcount" => ctx.new_rustfunc(weakref_getweakrefcount),
"getweakrefs" => ctx.new_rustfunc(weakref_getweakrefs),
"ReferenceType" => ctx.weakref_type(),
"ProxyType" => ctx.weakproxy_type(),
"CallableProxyType" => ctx.weakproxy_type(),
"_remove_dead_weakref" => ctx.new_rustfunc(weakref_remove_dead_weakref),
})
}