cpython/Lib/_abcoll.py

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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.
DON'T USE THIS MODULE DIRECTLY! The classes here should be imported
via collections; they are defined here only to alleviate certain
bootstrapping issues. Unit tests are in test_collections.
"""
from abc import ABCMeta, abstractmethod
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import sys
__all__ = ["Hashable", "Iterable", "Iterator",
"Sized", "Container", "Callable",
"Set", "MutableSet",
"Mapping", "MutableMapping",
"MappingView", "KeysView", "ItemsView", "ValuesView",
"Sequence", "MutableSequence",
]
### ONE-TRICK PONIES ###
def _hasattr(C, attr):
try:
return any(attr in B.__dict__ for B in C.__mro__)
except AttributeError:
# Old-style class
return hasattr(C, attr)
class Hashable:
__metaclass__ = ABCMeta
@abstractmethod
def __hash__(self):
return 0
@classmethod
def __subclasshook__(cls, C):
if cls is Hashable:
try:
for B in C.__mro__:
if "__hash__" in B.__dict__:
if B.__dict__["__hash__"]:
return True
break
except AttributeError:
# Old-style class
if getattr(C, "__hash__", None):
return True
return NotImplemented
class Iterable:
__metaclass__ = ABCMeta
@abstractmethod
def __iter__(self):
while False:
yield None
@classmethod
def __subclasshook__(cls, C):
if cls is Iterable:
if _hasattr(C, "__iter__"):
return True
return NotImplemented
Iterable.register(str)
class Iterator(Iterable):
@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:
if _hasattr(C, "next") and _hasattr(C, "__iter__"):
return True
return NotImplemented
class Sized:
__metaclass__ = ABCMeta
@abstractmethod
def __len__(self):
return 0
@classmethod
def __subclasshook__(cls, C):
if cls is Sized:
if _hasattr(C, "__len__"):
return True
return NotImplemented
class Container:
__metaclass__ = ABCMeta
@abstractmethod
def __contains__(self, x):
return False
@classmethod
def __subclasshook__(cls, C):
if cls is Container:
if _hasattr(C, "__contains__"):
return True
return NotImplemented
class Callable:
__metaclass__ = ABCMeta
@abstractmethod
def __call__(self, *args, **kwds):
return False
@classmethod
def __subclasshook__(cls, C):
if cls is Callable:
if _hasattr(C, "__call__"):
return True
return NotImplemented
### SETS ###
class Set(Sized, Iterable, Container):
"""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.
"""
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)
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def __gt__(self, other):
if not isinstance(other, Set):
return NotImplemented
return len(self) > len(other) and self.__ge__(other)
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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
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def __eq__(self, other):
if not isinstance(other, Set):
return NotImplemented
return len(self) == len(other) and self.__le__(other)
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def __ne__(self, other):
return not (self == other)
@classmethod
def _from_iterable(cls, it):
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'''Construct an instance of the class from any iterable input.
Must override this method if the class constructor signature
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does not accept an iterable for an input.
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'''
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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__
# Sets are not hashable by default, but subclasses can change this
__hash__ = None
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.maxint
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 * 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.
"""
@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
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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
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)
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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(Sized, Iterable, Container):
"""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__.
"""
@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 iterkeys(self):
'D.iterkeys() -> an iterator over the keys of D'
return iter(self)
def itervalues(self):
'D.itervalues() -> an iterator over the values of D'
for key in self:
yield self[key]
def iteritems(self):
'D.iteritems() -> an iterator over the (key, value) items of D'
for key in self:
yield (key, self[key])
def keys(self):
"D.keys() -> list of D's keys"
return list(self)
def items(self):
"D.items() -> list of D's (key, value) pairs, as 2-tuples"
return [(key, self[key]) for key in self]
def values(self):
"D.values() -> list of D's values"
return [self[key] for key in self]
# Mappings are not hashable by default, but subclasses can change this
__hash__ = None
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def __eq__(self, other):
if not isinstance(other, Mapping):
return NotImplemented
return dict(self.items()) == dict(other.items())
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def __ne__(self, other):
return not (self == other)
class MappingView(Sized):
def __init__(self, mapping):
self._mapping = mapping
def __len__(self):
return len(self._mapping)
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def __repr__(self):
return '{0.__class__.__name__}({0._mapping!r})'.format(self)
class KeysView(MappingView, Set):
@classmethod
def _from_iterable(self, it):
return set(it)
def __contains__(self, key):
return key in self._mapping
def __iter__(self):
for key in self._mapping:
yield key
class ItemsView(MappingView, Set):
@classmethod
def _from_iterable(self, it):
return set(it)
def __contains__(self, item):
key, value = item
try:
v = self._mapping[key]
except KeyError:
return False
else:
return v == value
def __iter__(self):
for key in self._mapping:
yield (key, self._mapping[key])
class ValuesView(MappingView):
def __contains__(self, value):
for key in self._mapping:
if value == self._mapping[key]:
return True
return False
def __iter__(self):
for key in self._mapping:
yield self._mapping[key]
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__.
"""
@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
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(*args, **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: 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 not args:
raise TypeError("descriptor 'update' of 'MutableMapping' object "
"needs an argument")
self = args[0]
args = args[1:]
if len(args) > 1:
raise TypeError('update expected at most 1 arguments, got %d' %
len(args))
if args:
other = args[0]
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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def setdefault(self, key, default=None):
'D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D'
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try:
return self[key]
except KeyError:
self[key] = default
return default
MutableMapping.register(dict)
### SEQUENCES ###
class Sequence(Sized, Iterable, Container):
"""All the operations on a read-only sequence.
Concrete subclasses must override __new__ or __init__,
__getitem__, and __len__.
"""
@abstractmethod
def __getitem__(self, index):
raise IndexError
def __iter__(self):
i = 0
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try:
while True:
v = self[i]
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yield v
i += 1
except IndexError:
return
def __contains__(self, value):
for v in self:
if v == value:
return True
return False
def __reversed__(self):
for i in reversed(range(len(self))):
yield self[i]
def index(self, value):
'''S.index(value) -> integer -- return first index of value.
Raises ValueError if the value is not present.
'''
for i, v in enumerate(self):
if v == value:
return i
raise ValueError
def count(self, value):
'S.count(value) -> integer -- return number of occurrences of value'
return sum(1 for v in self if v == value)
Sequence.register(tuple)
Sequence.register(basestring)
Sequence.register(buffer)
Sequence.register(xrange)
class MutableSequence(Sequence):
"""All the operations on a read-only sequence.
Concrete subclasses must provide __new__ or __init__,
__getitem__, __setitem__, __delitem__, __len__, and insert().
"""
@abstractmethod
def __setitem__(self, index, value):
raise IndexError
@abstractmethod
def __delitem__(self, index):
raise IndexError
@abstractmethod
def insert(self, index, value):
'S.insert(index, object) -- insert object before index'
raise IndexError
def append(self, value):
'S.append(object) -- append object to the end of the sequence'
self.insert(len(self), value)
def reverse(self):
'S.reverse() -- reverse *IN PLACE*'
n = len(self)
for i in range(n//2):
self[i], self[n-i-1] = self[n-i-1], self[i]
def extend(self, values):
'S.extend(iterable) -- extend sequence by appending elements from the iterable'
for v in values:
self.append(v)
def pop(self, index=-1):
'''S.pop([index]) -> item -- remove and return item at index (default last).
Raise IndexError if list is empty or index is out of range.
'''
v = self[index]
del self[index]
return v
def remove(self, value):
'''S.remove(value) -- remove first occurrence of value.
Raise ValueError if the value is not present.
'''
del self[self.index(value)]
def __iadd__(self, values):
self.extend(values)
return self
MutableSequence.register(list)