# 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 __all__ = ["Hashable", "Iterable", "Iterator", "Sized", "Container", "Callable", "Set", "MutableSet", "Mapping", "MutableMapping", "MappingView", "KeysView", "ItemsView", "ValuesView", "Sequence", "MutableSequence", "ByteString", "bytearray_iterator", "bytes_iterator", "dict_itemiterator", "dict_items", "dict_keyiterator", "dict_keys", "dict_proxy", "dict_valueiterator", "dict_values", "list_iterator", "list_reverseiterator", "range_iterator", "set_iterator", "str_iterator", "tuple_iterator", "zip_iterator", ] ### collection related types which are not exposed through builtin ### ## iterators ## 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))) 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 ## dict_proxy = type(type.__dict__) ### ONE-TRICK PONIES ### class Hashable(metaclass=ABCMeta): @abstractmethod def __hash__(self): return 0 @classmethod def __subclasshook__(cls, C): if cls is Hashable: for B in C.__mro__: if "__hash__" in B.__dict__: if B.__dict__["__hash__"]: return True break return NotImplemented class Iterable(metaclass=ABCMeta): @abstractmethod def __iter__(self): while False: yield None @classmethod def __subclasshook__(cls, C): if cls is Iterable: if any("__iter__" in B.__dict__ for B in C.__mro__): return True return NotImplemented class Iterator(metaclass=ABCMeta): @abstractmethod def __next__(self): raise StopIteration def __iter__(self): return self @classmethod def __subclasshook__(cls, C): if cls is Iterator: if any("__next__" in B.__dict__ for B in C.__mro__): return True 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(set_iterator) Iterator.register(str_iterator) Iterator.register(tuple_iterator) Iterator.register(zip_iterator) class Sized(metaclass=ABCMeta): @abstractmethod def __len__(self): return 0 @classmethod def __subclasshook__(cls, C): if cls is Sized: if any("__len__" in B.__dict__ for B in C.__mro__): 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 any("__contains__" in B.__dict__ for B in C.__mro__): return True return NotImplemented class Callable(metaclass=ABCMeta): @abstractmethod def __contains__(self, x): return False @classmethod def __subclasshook__(cls, C): if cls is Callable: if any("__call__" in B.__dict__ for B in C.__mro__): return True return NotImplemented ### SETS ### class Set(metaclass=ABCMeta): """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), all you have to do is redefine __le__ and then the other operations will automatically follow suit. """ @abstractmethod def __contains__(self, value): return False @abstractmethod def __iter__(self): while False: yield None @abstractmethod def __len__(self): return 0 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 __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): return frozenset(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) def __or__(self, other): if not isinstance(other, Iterable): return NotImplemented return self._from_iterable(itertools.chain(self, other)) 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 __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) 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): @abstractmethod def add(self, value): """Return True if it was added, False if already there.""" raise NotImplementedError @abstractmethod def discard(self, value): """Return True if it was deleted, False if not there.""" raise NotImplementedError def pop(self): """Return the popped value. Raise KeyError if empty.""" it = iter(self) try: value = it.__next__() except StopIteration: raise KeyError self.discard(value) return value def toggle(self, value): """Return True if it was added, False if deleted.""" # XXX This implementation is not thread-safe if value in self: self.discard(value) return False else: self.add(value) return True def clear(self): """This is slow (creates N new iterators!) but effective.""" try: while True: self.pop() except KeyError: pass def __ior__(self, it: Iterable): for value in it: self.add(value) return self def __iand__(self, c: Container): for value in self: if value not in c: self.discard(value) return self def __ixor__(self, it: Iterable): # This calls toggle(), so if that is overridded, we call the override for value in it: self.toggle(it) return self def __isub__(self, it: Iterable): for value in it: self.discard(value) return self MutableSet.register(set) ### MAPPINGS ### class Mapping(metaclass=ABCMeta): @abstractmethod def __getitem__(self, key): raise KeyError def get(self, key, default=None): try: return self[key] except KeyError: return default def __contains__(self, key): try: self[key] except KeyError: return False else: return True @abstractmethod def __len__(self): return 0 @abstractmethod def __iter__(self): while False: yield None def keys(self): return KeysView(self) def items(self): return ItemsView(self) def values(self): return ValuesView(self) class MappingView(metaclass=ABCMeta): def __init__(self, mapping): self._mapping = mapping def __len__(self): return len(self._mapping) class KeysView(MappingView, Set): def __contains__(self, key): return key in self._mapping def __iter__(self): for key in self._mapping: yield key KeysView.register(dict_keys) class ItemsView(MappingView, Set): 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]) ItemsView.register(dict_items) 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] ValuesView.register(dict_values) class MutableMapping(Mapping): @abstractmethod def __setitem__(self, key, value): raise KeyError @abstractmethod def __delitem__(self, key): raise KeyError __marker = object() def pop(self, key, default=__marker): try: value = self[key] except KeyError: if default is self.__marker: raise return default else: del self[key] return value def popitem(self): try: key = next(iter(self)) except StopIteration: raise KeyError value = self[key] del self[key] return key, value def clear(self): try: while True: self.popitem() except KeyError: pass def update(self, other=(), **kwds): 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 MutableMapping.register(dict) ### SEQUENCES ### class Sequence(metaclass=ABCMeta): """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 @abstractmethod def __len__(self): return 0 def __iter__(self): i = 0 while True: try: v = self[i] except IndexError: break yield v i += 1 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): for i, v in enumerate(self): if v == value: return i raise ValueError def count(self, value): return sum(1 for v in self if v == value) Sequence.register(tuple) Sequence.register(str) class ByteString(Sequence): """This unifies bytes and bytearray. XXX Should add all their methods. """ ByteString.register(bytes) ByteString.register(bytearray) class MutableSequence(Sequence): @abstractmethod def __setitem__(self, index, value): raise IndexError @abstractmethod def __delitem__(self, index): raise IndexError @abstractmethod def insert(self, index, value): raise IndexError def append(self, value): self.insert(len(self), value) def reverse(self): 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): for v in values: self.append(v) def pop(self, index=-1): v = self[index] del self[index] return v def remove(self, value): del self[self.index(value)] def __iadd__(self, values): self.extend(values) MutableSequence.register(list) MutableSequence.register(bytearray) # Multiply inheriting, see ByteString