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# Copyright 2007 Google, Inc. All Rights Reserved.
# Licensed to PSF under a Contributor Agreement.
"""Abstract Base Classes (ABCs) for collections, according to PEP 3119.
Unit tests are in test_collections.
"""
############ Maintenance notes #########################################
#
# ABCs are different from other standard library modules in that they
# specify compliance tests. In general, once an ABC has been published,
# new methods (either abstract or concrete) cannot be added.
#
# Though classes that inherit from an ABC would automatically receive a
# new mixin method, registered classes would become non-compliant and
# violate the contract promised by ``isinstance(someobj, SomeABC)``.
#
# Though irritating, the correct procedure for adding new abstract or
# mixin methods is to create a new ABC as a subclass of the previous
# ABC. For example, union(), intersection(), and difference() cannot
# be added to Set but could go into a new ABC that extends Set.
#
# Because they are so hard to change, new ABCs should have their APIs
# carefully thought through prior to publication.
#
# Since ABCMeta only checks for the presence of methods, it is possible
# to alter the signature of a method by adding optional arguments
# or changing parameters names. This is still a bit dubious but at
# least it won't cause isinstance() to return an incorrect result.
#
#
#######################################################################
from
abc
import
ABCMeta
,
abstractmethod
import
sys
GenericAlias
=
type
(
list
[
int
])
EllipsisType
=
type
(...)
def
_f
():
pass
FunctionType
=
type
(
_f
)
del
_f
__all__
=
[
"Awaitable"
,
"Coroutine"
,
"AsyncIterable"
,
"AsyncIterator"
,
"AsyncGenerator"
,
"Hashable"
,
"Iterable"
,
"Iterator"
,
"Generator"
,
"Reversible"
,
"Sized"
,
"Container"
,
"Callable"
,
"Collection"
,
"Set"
,
"MutableSet"
,
"Mapping"
,
"MutableMapping"
,
"MappingView"
,
"KeysView"
,
"ItemsView"
,
"ValuesView"
,
"Sequence"
,
"MutableSequence"
,
"ByteString"
,
"Buffer"
,
]
# This module has been renamed from collections.abc to _collections_abc to
# speed up interpreter startup. Some of the types such as MutableMapping are
# required early but collections module imports a lot of other modules.
# See issue #19218
__name__
=
"collections.abc"
# Private list of types that we want to register with the various ABCs
# so that they will pass tests like:
# it = iter(somebytearray)
# assert isinstance(it, Iterable)
# Note: in other implementations, these types might not be distinct
# and they may have their own implementation specific types that
# are not included on this list.
bytes_iterator
=
type
(
iter
(
b''
))
bytearray_iterator
=
type
(
iter
(
bytearray
()))
#callable_iterator = ???
dict_keyiterator
=
type
(
iter
({}.
keys
()))
dict_valueiterator
=
type
(
iter
({}.
values
()))
dict_itemiterator
=
type
(
iter
({}.
items
()))
list_iterator
=
type
(
iter
([]))
list_reverseiterator
=
type
(
iter
(
reversed
([])))
range_iterator
=
type
(
iter
(
range
(
0
)))
longrange_iterator
=
type
(
iter
(
range
(
1
<<
1000
)))
set_iterator
=
type
(
iter
(
set
()))
str_iterator
=
type
(
iter
(
""
))
tuple_iterator
=
type
(
iter
(()))
zip_iterator
=
type
(
iter
(
zip
()))
## views ##
dict_keys
=
type
({}.
keys
())
dict_values
=
type
({}.
values
())
dict_items
=
type
({}.
items
())
## misc ##
mappingproxy
=
type
(
type
.
__dict__
)
def
_get_framelocalsproxy
():
return
type
(
sys
.
_getframe
().
f_locals
)
framelocalsproxy
=
_get_framelocalsproxy
()
del
_get_framelocalsproxy
generator
=
type
((
lambda
: (
yield
))())
## coroutine ##
async
def
_coro
():
pass
_coro
=
_coro
()
coroutine
=
type
(
_coro
)
_coro
.
close
()
# Prevent ResourceWarning
del
_coro
## asynchronous generator ##
async
def
_ag
():
yield
_ag
=
_ag
()
async_generator
=
type
(
_ag
)
del
_ag
### ONE-TRICK PONIES ###
def
_check_methods
(
C
,
*
methods
):
mro
=
C
.
__mro__
for
method
in
methods
:
for
B
in
mro
:
if
method
in
B
.
__dict__
:
if
B
.
__dict__
[
method
]
is
None
:
return
NotImplemented
break
else
:
return
NotImplemented
return
True
class
Hashable
(
metaclass
=
ABCMeta
):
__slots__
=
()
@
abstractmethod
def
__hash__
(
self
):
return
0
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
Hashable
:
return
_check_methods
(
C
,
"__hash__"
)
return
NotImplemented
class
Awaitable
(
metaclass
=
ABCMeta
):
__slots__
=
()
@
abstractmethod
def
__await__
(
self
):
yield
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
Awaitable
:
return
_check_methods
(
C
,
"__await__"
)
return
NotImplemented
__class_getitem__
=
classmethod
(
GenericAlias
)
class
Coroutine
(
Awaitable
):
__slots__
=
()
@
abstractmethod
def
send
(
self
,
value
):
"""Send a value into the coroutine.
Return next yielded value or raise StopIteration.
"""
raise
StopIteration
@
abstractmethod
def
throw
(
self
,
typ
,
val
=
None
,
tb
=
None
):
"""Raise an exception in the coroutine.
Return next yielded value or raise StopIteration.
"""
if
val
is
None
:
if
tb
is
None
:
raise
typ
val
=
typ
()
if
tb
is
not
None
:
val
=
val
.
with_traceback
(
tb
)
raise
val
def
close
(
self
):
"""Raise GeneratorExit inside coroutine.
"""
try
:
self
.
throw
(
GeneratorExit
)
except
(
GeneratorExit
,
StopIteration
):
pass
else
:
raise
RuntimeError
(
"coroutine ignored GeneratorExit"
)
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
Coroutine
:
return
_check_methods
(
C
,
'__await__'
,
'send'
,
'throw'
,
'close'
)
return
NotImplemented
Coroutine
.
register
(
coroutine
)
class
AsyncIterable
(
metaclass
=
ABCMeta
):
__slots__
=
()
@
abstractmethod
def
__aiter__
(
self
):
return
AsyncIterator
()
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
AsyncIterable
:
return
_check_methods
(
C
,
"__aiter__"
)
return
NotImplemented
__class_getitem__
=
classmethod
(
GenericAlias
)
class
AsyncIterator
(
AsyncIterable
):
__slots__
=
()
@
abstractmethod
async
def
__anext__
(
self
):
"""Return the next item or raise StopAsyncIteration when exhausted."""
raise
StopAsyncIteration
def
__aiter__
(
self
):
return
self
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
AsyncIterator
:
return
_check_methods
(
C
,
"__anext__"
,
"__aiter__"
)
return
NotImplemented
class
AsyncGenerator
(
AsyncIterator
):
__slots__
=
()
async
def
__anext__
(
self
):
"""Return the next item from the asynchronous generator.
When exhausted, raise StopAsyncIteration.
"""
return
await
self
.
asend
(
None
)
@
abstractmethod
async
def
asend
(
self
,
value
):
"""Send a value into the asynchronous generator.
Return next yielded value or raise StopAsyncIteration.
"""
raise
StopAsyncIteration
@
abstractmethod
async
def
athrow
(
self
,
typ
,
val
=
None
,
tb
=
None
):
"""Raise an exception in the asynchronous generator.
Return next yielded value or raise StopAsyncIteration.
"""
if
val
is
None
:
if
tb
is
None
:
raise
typ
val
=
typ
()
if
tb
is
not
None
:
val
=
val
.
with_traceback
(
tb
)
raise
val
async
def
aclose
(
self
):
"""Raise GeneratorExit inside coroutine.
"""
try
:
await
self
.
athrow
(
GeneratorExit
)
except
(
GeneratorExit
,
StopAsyncIteration
):
pass
else
:
raise
RuntimeError
(
"asynchronous generator ignored GeneratorExit"
)
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
AsyncGenerator
:
return
_check_methods
(
C
,
'__aiter__'
,
'__anext__'
,
'asend'
,
'athrow'
,
'aclose'
)
return
NotImplemented
AsyncGenerator
.
register
(
async_generator
)
class
Iterable
(
metaclass
=
ABCMeta
):
__slots__
=
()
@
abstractmethod
def
__iter__
(
self
):
while
False
:
yield
None
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
Iterable
:
return
_check_methods
(
C
,
"__iter__"
)
return
NotImplemented
__class_getitem__
=
classmethod
(
GenericAlias
)
class
Iterator
(
Iterable
):
__slots__
=
()
@
abstractmethod
def
__next__
(
self
):
'Return the next item from the iterator. When exhausted, raise StopIteration'
raise
StopIteration
def
__iter__
(
self
):
return
self
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
Iterator
:
return
_check_methods
(
C
,
'__iter__'
,
'__next__'
)
return
NotImplemented
Iterator
.
register
(
bytes_iterator
)
Iterator
.
register
(
bytearray_iterator
)
#Iterator.register(callable_iterator)
Iterator
.
register
(
dict_keyiterator
)
Iterator
.
register
(
dict_valueiterator
)
Iterator
.
register
(
dict_itemiterator
)
Iterator
.
register
(
list_iterator
)
Iterator
.
register
(
list_reverseiterator
)
Iterator
.
register
(
range_iterator
)
Iterator
.
register
(
longrange_iterator
)
Iterator
.
register
(
set_iterator
)
Iterator
.
register
(
str_iterator
)
Iterator
.
register
(
tuple_iterator
)
Iterator
.
register
(
zip_iterator
)
class
Reversible
(
Iterable
):
__slots__
=
()
@
abstractmethod
def
__reversed__
(
self
):
while
False
:
yield
None
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
Reversible
:
return
_check_methods
(
C
,
"__reversed__"
,
"__iter__"
)
return
NotImplemented
class
Generator
(
Iterator
):
__slots__
=
()
def
__next__
(
self
):
"""Return the next item from the generator.
When exhausted, raise StopIteration.
"""
return
self
.
send
(
None
)
@
abstractmethod
def
send
(
self
,
value
):
"""Send a value into the generator.
Return next yielded value or raise StopIteration.
"""
raise
StopIteration
@
abstractmethod
def
throw
(
self
,
typ
,
val
=
None
,
tb
=
None
):
"""Raise an exception in the generator.
Return next yielded value or raise StopIteration.
"""
if
val
is
None
:
if
tb
is
None
:
raise
typ
val
=
typ
()
if
tb
is
not
None
:
val
=
val
.
with_traceback
(
tb
)
raise
val
def
close
(
self
):
"""Raise GeneratorExit inside generator.
"""
try
:
self
.
throw
(
GeneratorExit
)
except
(
GeneratorExit
,
StopIteration
):
pass
else
:
raise
RuntimeError
(
"generator ignored GeneratorExit"
)
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
Generator
:
return
_check_methods
(
C
,
'__iter__'
,
'__next__'
,
'send'
,
'throw'
,
'close'
)
return
NotImplemented
Generator
.
register
(
generator
)
class
Sized
(
metaclass
=
ABCMeta
):
__slots__
=
()
@
abstractmethod
def
__len__
(
self
):
return
0
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
Sized
:
return
_check_methods
(
C
,
"__len__"
)
return
NotImplemented
class
Container
(
metaclass
=
ABCMeta
):
__slots__
=
()
@
abstractmethod
def
__contains__
(
self
,
x
):
return
False
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
Container
:
return
_check_methods
(
C
,
"__contains__"
)
return
NotImplemented
__class_getitem__
=
classmethod
(
GenericAlias
)
class
Collection
(
Sized
,
Iterable
,
Container
):
__slots__
=
()
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
Collection
:
return
_check_methods
(
C
,
"__len__"
,
"__iter__"
,
"__contains__"
)
return
NotImplemented
class
Buffer
(
metaclass
=
ABCMeta
):
__slots__
=
()
@
abstractmethod
def
__buffer__
(
self
,
flags
:
int
,
/
)
->
memoryview
:
raise
NotImplementedError
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
Buffer
:
return
_check_methods
(
C
,
"__buffer__"
)
return
NotImplemented
class
_CallableGenericAlias
(
GenericAlias
):
""" Represent `Callable[argtypes, resulttype]`.
This sets ``__args__`` to a tuple containing the flattened ``argtypes``
followed by ``resulttype``.
Example: ``Callable[[int, str], float]`` sets ``__args__`` to
``(int, str, float)``.
"""
__slots__
=
()
def
__new__
(
cls
,
origin
,
args
):
if
not
(
isinstance
(
args
,
tuple
)
and
len
(
args
)
==
2
):
raise
TypeError
(
"Callable must be used as Callable[[arg, ...], result]."
)
t_args
,
t_result
=
args
if
isinstance
(
t_args
, (
tuple
,
list
)):
args
=
(
*
t_args
,
t_result
)
elif
not
_is_param_expr
(
t_args
):
raise
TypeError
(
f"Expected a list of types, an ellipsis, "
f"ParamSpec, or Concatenate. Got
{
t_args
}
"
)
return
super
().
__new__
(
cls
,
origin
,
args
)
def
__repr__
(
self
):
if
len
(
self
.
__args__
)
==
2
and
_is_param_expr
(
self
.
__args__
[
0
]):
return
super
().
__repr__
()
return
(
f'collections.abc.Callable'
f'[[
{
", "
.
join
([
_type_repr
(
a
)
for
a
in
self
.
__args__
[:
-
1
]])
}
], '
f'
{
_type_repr
(
self
.
__args__
[
-
1
])
}
]'
)
def
__reduce__
(
self
):
args
=
self
.
__args__
if
not
(
len
(
args
)
==
2
and
_is_param_expr
(
args
[
0
])):
args
=
list
(
args
[:
-
1
]),
args
[
-
1
]
return
_CallableGenericAlias
, (
Callable
,
args
)
def
__getitem__
(
self
,
item
):
# Called during TypeVar substitution, returns the custom subclass
# rather than the default types.GenericAlias object. Most of the
# code is copied from typing's _GenericAlias and the builtin
# types.GenericAlias.
if
not
isinstance
(
item
,
tuple
):
item
=
(
item
,)
new_args
=
super
().
__getitem__
(
item
).
__args__
# args[0] occurs due to things like Z[[int, str, bool]] from PEP 612
if
not
isinstance
(
new_args
[
0
], (
tuple
,
list
)):
t_result
=
new_args
[
-
1
]
t_args
=
new_args
[:
-
1
]
new_args
=
(
t_args
,
t_result
)
return
_CallableGenericAlias
(
Callable
,
tuple
(
new_args
))
# TODO: RUSTPYTHON; patch for common call
def
__or__
(
self
,
other
):
super
().
__or__
(
other
)
def
_is_param_expr
(
obj
):
"""Checks if obj matches either a list of types, ``...``, ``ParamSpec`` or
``_ConcatenateGenericAlias`` from typing.py
"""
if
obj
is
Ellipsis
:
return
True
if
isinstance
(
obj
,
list
):
return
True
obj
=
type
(
obj
)
names
=
(
'ParamSpec'
,
'_ConcatenateGenericAlias'
)
return
obj
.
__module__
==
'typing'
and
any
(
obj
.
__name__
==
name
for
name
in
names
)
def
_type_repr
(
obj
):
"""Return the repr() of an object, special-casing types (internal helper).
Copied from :mod:`typing` since collections.abc
shouldn't depend on that module.
(Keep this roughly in sync with the typing version.)
"""
if
isinstance
(
obj
,
type
):
if
obj
.
__module__
==
'builtins'
:
return
obj
.
__qualname__
return
f'
{
obj
.
__module__
}
.
{
obj
.
__qualname__
}
'
if
obj
is
Ellipsis
:
return
'...'
if
isinstance
(
obj
,
FunctionType
):
return
obj
.
__name__
return
repr
(
obj
)
class
Callable
(
metaclass
=
ABCMeta
):
__slots__
=
()
@
abstractmethod
def
__call__
(
self
,
*
args
,
**
kwds
):
return
False
@
classmethod
def
__subclasshook__
(
cls
,
C
):
if
cls
is
Callable
:
return
_check_methods
(
C
,
"__call__"
)
return
NotImplemented
__class_getitem__
=
classmethod
(
_CallableGenericAlias
)
### SETS ###
class
Set
(
Collection
):
"""A set is a finite, iterable container.
This class provides concrete generic implementations of all
methods except for __contains__, __iter__ and __len__.
To override the comparisons (presumably for speed, as the
semantics are fixed), redefine __le__ and __ge__,
then the other operations will automatically follow suit.
"""
__slots__
=
()
def
__le__
(
self
,
other
):
if
not
isinstance
(
other
,
Set
):
return
NotImplemented
if
len
(
self
)
>
len
(
other
):
return
False
for
elem
in
self
:
if
elem
not
in
other
:
return
False
return
True
def
__lt__
(
self
,
other
):
if
not
isinstance
(
other
,
Set
):
return
NotImplemented
return
len
(
self
)
<
len
(
other
)
and
self
.
__le__
(
other
)
def
__gt__
(
self
,
other
):
if
not
isinstance
(
other
,
Set
):
return
NotImplemented
return
len
(
self
)
>
len
(
other
)
and
self
.
__ge__
(
other
)
def
__ge__
(
self
,
other
):
if
not
isinstance
(
other
,
Set
):
return
NotImplemented
if
len
(
self
)
<
len
(
other
):
return
False
for
elem
in
other
:
if
elem
not
in
self
:
return
False
return
True
def
__eq__
(
self
,
other
):
if
not
isinstance
(
other
,
Set
):
return
NotImplemented
return
len
(
self
)
==
len
(
other
)
and
self
.
__le__
(
other
)
@
classmethod
def
_from_iterable
(
cls
,
it
):
'''Construct an instance of the class from any iterable input.
Must override this method if the class constructor signature
does not accept an iterable for an input.
'''
return
cls
(
it
)
def
__and__
(
self
,
other
):
if
not
isinstance
(
other
,
Iterable
):
return
NotImplemented
return
self
.
_from_iterable
(
value
for
value
in
other
if
value
in
self
)
__rand__
=
__and__
def
isdisjoint
(
self
,
other
):
'Return True if two sets have a null intersection.'
for
value
in
other
:
if
value
in
self
:
return
False
return
True
def
__or__
(
self
,
other
):
if
not
isinstance
(
other
,
Iterable
):
return
NotImplemented
chain
=
(
e
for
s
in
(
self
,
other
)
for
e
in
s
)
return
self
.
_from_iterable
(
chain
)
__ror__
=
__or__
def
__sub__
(
self
,
other
):
if
not
isinstance
(
other
,
Set
):
if
not
isinstance
(
other
,
Iterable
):
return
NotImplemented
other
=
self
.
_from_iterable
(
other
)
return
self
.
_from_iterable
(
value
for
value
in
self
if
value
not
in
other
)
def
__rsub__
(
self
,
other
):
if
not
isinstance
(
other
,
Set
):
if
not
isinstance
(
other
,
Iterable
):
return
NotImplemented
other
=
self
.
_from_iterable
(
other
)
return
self
.
_from_iterable
(
value
for
value
in
other
if
value
not
in
self
)
def
__xor__
(
self
,
other
):
if
not
isinstance
(
other
,
Set
):
if
not
isinstance
(
other
,
Iterable
):
return
NotImplemented
other
=
self
.
_from_iterable
(
other
)
return
(
self
-
other
)
|
(
other
-
self
)
__rxor__
=
__xor__
def
_hash
(
self
):
"""Compute the hash value of a set.
Note that we don't define __hash__: not all sets are hashable.
But if you define a hashable set type, its __hash__ should
call this function.
This must be compatible __eq__.
All sets ought to compare equal if they contain the same
elements, regardless of how they are implemented, and
regardless of the order of the elements; so there's not much
freedom for __eq__ or __hash__. We match the algorithm used
by the built-in frozenset type.
"""
MAX
=
sys
.
maxsize
MASK
=
2
*
MAX
+
1
n
=
len
(
self
)
h
=
1927868237
*
(
n
+
1
)
h
&=
MASK
for
x
in
self
:
hx
=
hash
(
x
)
h
^=
(
hx
^
(
hx
<<
16
)
^
89869747
)
*
3644798167
h
&=
MASK
h
^=
(
h
>>
11
)
^
(
h
>>
25
)
h
=
h
*
69069
+
907133923
h
&=
MASK
if
h
>
MAX
:
h
-=
MASK
+
1
if
h
==
-
1
:
h
=
590923713
return
h
Set
.
register
(
frozenset
)
class
MutableSet
(
Set
):
"""A mutable set is a finite, iterable container.
This class provides concrete generic implementations of all
methods except for __contains__, __iter__, __len__,
add(), and discard().
To override the comparisons (presumably for speed, as the
semantics are fixed), all you have to do is redefine __le__ and
then the other operations will automatically follow suit.
"""
__slots__
=
()
@
abstractmethod
def
add
(
self
,
value
):
"""Add an element."""
raise
NotImplementedError
@
abstractmethod
def
discard
(
self
,
value
):
"""Remove an element. Do not raise an exception if absent."""
raise
NotImplementedError
def
remove
(
self
,
value
):
"""Remove an element. If not a member, raise a KeyError."""
if
value
not
in
self
:
raise
KeyError
(
value
)
self
.
discard
(
value
)
def
pop
(
self
):
"""Return the popped value. Raise KeyError if empty."""
it
=
iter
(
self
)
try
:
value
=
next
(
it
)
except
StopIteration
:
raise
KeyError
from
None
self
.
discard
(
value
)
return
value
def
clear
(
self
):
"""This is slow (creates N new iterators!) but effective."""
try
:
while
True
:
self
.
pop
()
except
KeyError
:
pass
def
__ior__
(
self
,
it
):
for
value
in
it
:
self
.
add
(
value
)
return
self
def
__iand__
(
self
,
it
):
for
value
in
(
self
-
it
):
self
.
discard
(
value
)
return
self
def
__ixor__
(
self
,
it
):
if
it
is
self
:
self
.
clear
()
else
:
if
not
isinstance
(
it
,
Set
):
it
=
self
.
_from_iterable
(
it
)
for
value
in
it
:
if
value
in
self
:
self
.
discard
(
value
)
else
:
self
.
add
(
value
)
return
self
def
__isub__
(
self
,
it
):
if
it
is
self
:
self
.
clear
()
else
:
for
value
in
it
:
self
.
discard
(
value
)
return
self
MutableSet
.
register
(
set
)
### MAPPINGS ###
class
Mapping
(
Collection
):
"""A Mapping is a generic container for associating key/value
pairs.
This class provides concrete generic implementations of all
methods except for __getitem__, __iter__, and __len__.
"""
__slots__
=
()
# Tell ABCMeta.__new__ that this class should have TPFLAGS_MAPPING set.
__abc_tpflags__
=
1
<<
6
# Py_TPFLAGS_MAPPING
@
abstractmethod
def
__getitem__
(
self
,
key
):
raise
KeyError
def
get
(
self
,
key
,
default
=
None
):
'D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.'
try
:
return
self
[
key
]
except
KeyError
:
return
default
def
__contains__
(
self
,
key
):
try
:
self
[
key
]
except
KeyError
:
return
False
else
:
return
True
def
keys
(
self
):
"D.keys() -> a set-like object providing a view on D's keys"
return
KeysView
(
self
)
def
items
(
self
):
"D.items() -> a set-like object providing a view on D's items"
return
ItemsView
(
self
)
def
values
(
self
):
"D.values() -> an object providing a view on D's values"
return
ValuesView
(
self
)
def
__eq__
(
self
,
other
):
if
not
isinstance
(
other
,
Mapping
):
return
NotImplemented
return
dict
(
self
.
items
())
==
dict
(
other
.
items
())
__reversed__
=
None
Mapping
.
register
(
mappingproxy
)
Mapping
.
register
(
framelocalsproxy
)
class
MappingView
(
Sized
):
__slots__
=
'_mapping'
,
def
__init__
(
self
,
mapping
):
self
.
_mapping
=
mapping
def
__len__
(
self
):
return
len
(
self
.
_mapping
)
def
__repr__
(
self
):
return
'{0.__class__.__name__}({0._mapping!r})'
.
format
(
self
)
__class_getitem__
=
classmethod
(
GenericAlias
)
class
KeysView
(
MappingView
,
Set
):
__slots__
=
()
@
classmethod
def
_from_iterable
(
cls
,
it
):
return
set
(
it
)
def
__contains__
(
self
,
key
):
return
key
in
self
.
_mapping
def
__iter__
(
self
):
yield
from
self
.
_mapping
KeysView
.
register
(
dict_keys
)
class
ItemsView
(
MappingView
,
Set
):
__slots__
=
()
@
classmethod
def
_from_iterable
(
cls
,
it
):
return
set
(
it
)
def
__contains__
(
self
,
item
):
key
,
value
=
item
try
:
v
=
self
.
_mapping
[
key
]
except
KeyError
:
return
False
else
:
return
v
is
value
or
v
==
value
def
__iter__
(
self
):
for
key
in
self
.
_mapping
:
yield
(
key
,
self
.
_mapping
[
key
])
ItemsView
.
register
(
dict_items
)
class
ValuesView
(
MappingView
,
Collection
):
__slots__
=
()
def
__contains__
(
self
,
value
):
for
key
in
self
.
_mapping
:
v
=
self
.
_mapping
[
key
]
if
v
is
value
or
v
==
value
:
return
True
return
False
def
__iter__
(
self
):
for
key
in
self
.
_mapping
:
yield
self
.
_mapping
[
key
]
ValuesView
.
register
(
dict_values
)
class
MutableMapping
(
Mapping
):
"""A MutableMapping is a generic container for associating
key/value pairs.
This class provides concrete generic implementations of all
methods except for __getitem__, __setitem__, __delitem__,
__iter__, and __len__.
"""
__slots__
=
()
@
abstractmethod
def
__setitem__
(
self
,
key
,
value
):
raise
KeyError
@
abstractmethod
def
__delitem__
(
self
,
key
):
raise
KeyError
__marker
=
object
()
def
pop
(
self
,
key
,
default
=
__marker
):
'''D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
If key is not found, d is returned if given, otherwise KeyError is raised.
'''
try
:
value
=
self
[
key
]
except
KeyError
:
if
default
is
self
.
__marker
:
raise
return
default
else
:
del
self
[
key
]
return
value
def
popitem
(
self
):
'''D.popitem() -> (k, v), remove and return some (key, value) pair
as a 2-tuple; but raise KeyError if D is empty.
'''
try
:
key
=
next
(
iter
(
self
))
except
StopIteration
:
raise
KeyError
from
None
value
=
self
[
key
]
del
self
[
key
]
return
key
,
value
def
clear
(
self
):
'D.clear() -> None. Remove all items from D.'
try
:
while
True
:
self
.
popitem
()
except
KeyError
:
pass
def
update
(
self
,
other
=
(),
/
,
**
kwds
):
''' D.update([E, ]**F) -> None. Update D from mapping/iterable E and F.
If E present and has a .keys() method, does: for k in E.keys(): D[k] = E[k]
If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v
In either case, this is followed by: for k, v in F.items(): D[k] = v
'''
if
isinstance
(
other
,
Mapping
):
for
key
in
other
:
self
[
key
]
=
other
[
key
]
elif
hasattr
(
other
,
"keys"
):
for
key
in
other
.
keys
():
self
[
key
]
=
other
[
key
]
else
:
for
key
,
value
in
other
:
self
[
key
]
=
value
for
key
,
value
in
kwds
.
items
():
self
[
key
]
=
value
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