blob: eeef0e8087febfb12d5181193c79650bb5677753 [file] [log] [blame]
"""Classes to represent arbitrary sets (including sets of sets).
This module implements sets using dictionaries whose values are
ignored. The usual operations (union, intersection, deletion, etc.)
are provided as both methods and operators.
Important: sets are not sequences! While they support 'x in s',
'len(s)', and 'for x in s', none of those operations are unique for
sequences; for example, mappings support all three as well. The
characteristic operation for sequences is subscripting with small
integers: s[i], for i in range(len(s)). Sets don't support
subscripting at all. Also, sequences allow multiple occurrences and
their elements have a definite order; sets on the other hand don't
record multiple occurrences and don't remember the order of element
insertion (which is why they don't support s[i]).
The following classes are provided:
BaseSet -- All the operations common to both mutable and immutable
sets. This is an abstract class, not meant to be directly
instantiated.
Set -- Mutable sets, subclass of BaseSet; not hashable.
ImmutableSet -- Immutable sets, subclass of BaseSet; hashable.
An iterable argument is mandatory to create an ImmutableSet.
_TemporarilyImmutableSet -- Not a subclass of BaseSet: just a wrapper
around a Set, hashable, giving the same hash value as the
immutable set equivalent would have. Do not use this class
directly.
Only hashable objects can be added to a Set. In particular, you cannot
really add a Set as an element to another Set; if you try, what is
actually added is an ImmutableSet built from it (it compares equal to
the one you tried adding).
When you ask if `x in y' where x is a Set and y is a Set or
ImmutableSet, x is wrapped into a _TemporarilyImmutableSet z, and
what's tested is actually `z in y'.
"""
# Code history:
#
# - Greg V. Wilson wrote the first version, using a different approach
# to the mutable/immutable problem, and inheriting from dict.
#
# - Alex Martelli modified Greg's version to implement the current
# Set/ImmutableSet approach, and make the data an attribute.
#
# - Guido van Rossum rewrote much of the code, made some API changes,
# and cleaned up the docstrings.
#
# - Raymond Hettinger added a number of speedups and other
# bugs^H^H^H^Himprovements.
__all__ = ['BaseSet', 'Set', 'ImmutableSet']
class BaseSet(object):
"""Common base class for mutable and immutable sets."""
__slots__ = ['_data']
# Constructor
def __init__(self):
"""This is an abstract class."""
# Don't call this from a concrete subclass!
if self.__class__ is BaseSet:
raise TypeError, ("BaseSet is an abstract class. "
"Use Set or ImmutableSet.")
# Standard protocols: __len__, __repr__, __str__, __iter__
def __len__(self):
"""Return the number of elements of a set."""
return len(self._data)
def __repr__(self):
"""Return string representation of a set.
This looks like 'Set([<list of elements>])'.
"""
return self._repr()
# __str__ is the same as __repr__
__str__ = __repr__
def _repr(self, sorted=False):
elements = self._data.keys()
if sorted:
elements.sort()
return '%s(%r)' % (self.__class__.__name__, elements)
def __iter__(self):
"""Return an iterator over the elements or a set.
This is the keys iterator for the underlying dict.
"""
return self._data.iterkeys()
# Comparisons. Ordering is determined by the ordering of the
# underlying dicts (which is consistent though unpredictable).
def __lt__(self, other):
self._binary_sanity_check(other)
return self._data < other._data
def __le__(self, other):
self._binary_sanity_check(other)
return self._data <= other._data
def __eq__(self, other):
self._binary_sanity_check(other)
return self._data == other._data
def __ne__(self, other):
self._binary_sanity_check(other)
return self._data != other._data
def __gt__(self, other):
self._binary_sanity_check(other)
return self._data > other._data
def __ge__(self, other):
self._binary_sanity_check(other)
return self._data >= other._data
# Copying operations
def copy(self):
"""Return a shallow copy of a set."""
result = self.__class__([])
result._data.update(self._data)
return result
__copy__ = copy # For the copy module
def __deepcopy__(self, memo):
"""Return a deep copy of a set; used by copy module."""
# This pre-creates the result and inserts it in the memo
# early, in case the deep copy recurses into another reference
# to this same set. A set can't be an element of itself, but
# it can certainly contain an object that has a reference to
# itself.
from copy import deepcopy
result = self.__class__([])
memo[id(self)] = result
data = result._data
value = True
for elt in self:
data[deepcopy(elt, memo)] = value
return result
# Standard set operations: union, intersection, both differences
def union(self, other):
"""Return the union of two sets as a new set.
(I.e. all elements that are in either set.)
"""
self._binary_sanity_check(other)
result = self.__class__(self._data)
result._data.update(other._data)
return result
__or__ = union
def intersection(self, other):
"""Return the intersection of two sets as a new set.
(I.e. all elements that are in both sets.)
"""
self._binary_sanity_check(other)
if len(self) <= len(other):
little, big = self, other
else:
little, big = other, self
result = self.__class__([])
data = result._data
value = True
for elt in little:
if elt in big:
data[elt] = value
return result
__and__ = intersection
def symmetric_difference(self, other):
"""Return the symmetric difference of two sets as a new set.
(I.e. all elements that are in exactly one of the sets.)
"""
self._binary_sanity_check(other)
result = self.__class__([])
data = result._data
value = True
for elt in self:
if elt not in other:
data[elt] = value
for elt in other:
if elt not in self:
data[elt] = value
return result
__xor__ = symmetric_difference
def difference(self, other):
"""Return the difference of two sets as a new Set.
(I.e. all elements that are in this set and not in the other.)
"""
self._binary_sanity_check(other)
result = self.__class__([])
data = result._data
value = True
for elt in self:
if elt not in other:
data[elt] = value
return result
__sub__ = difference
# Membership test
def __contains__(self, element):
"""Report whether an element is a member of a set.
(Called in response to the expression `element in self'.)
"""
try:
return element in self._data
except TypeError:
transform = getattr(element, "_as_temporarily_immutable", None)
if transform is None:
raise # re-raise the TypeError exception we caught
return transform() in self._data
# Subset and superset test
def issubset(self, other):
"""Report whether another set contains this set."""
self._binary_sanity_check(other)
if len(self) > len(other): # Fast check for obvious cases
return False
for elt in self:
if elt not in other:
return False
return True
def issuperset(self, other):
"""Report whether this set contains another set."""
self._binary_sanity_check(other)
if len(self) < len(other): # Fast check for obvious cases
return False
for elt in other:
if elt not in self:
return False
return True
# Assorted helpers
def _binary_sanity_check(self, other):
# Check that the other argument to a binary operation is also
# a set, raising a TypeError otherwise.
if not isinstance(other, BaseSet):
raise TypeError, "Binary operation only permitted between sets"
def _compute_hash(self):
# Calculate hash code for a set by xor'ing the hash codes of
# the elements. This algorithm ensures that the hash code
# does not depend on the order in which elements are added to
# the code. This is not called __hash__ because a BaseSet
# should not be hashable; only an ImmutableSet is hashable.
result = 0
for elt in self:
result ^= hash(elt)
return result
def _update(self, iterable):
# The main loop for update() and the subclass __init__() methods.
data = self._data
value = True
it = iter(iterable)
while True:
try:
for element in it:
data[element] = value
return
except TypeError:
transform = getattr(element, "_as_immutable", None)
if transform is None:
raise # re-raise the TypeError exception we caught
data[transform()] = value
class ImmutableSet(BaseSet):
"""Immutable set class."""
__slots__ = ['_hashcode']
# BaseSet + hashing
def __init__(self, iterable=None):
"""Construct an immutable set from an optional iterable."""
self._hashcode = None
self._data = {}
if iterable is not None:
self._update(iterable)
def __hash__(self):
if self._hashcode is None:
self._hashcode = self._compute_hash()
return self._hashcode
class Set(BaseSet):
""" Mutable set class."""
__slots__ = []
# BaseSet + operations requiring mutability; no hashing
def __init__(self, iterable=None):
"""Construct a set from an optional iterable."""
self._data = {}
if iterable is not None:
self._update(iterable)
def __hash__(self):
"""A Set cannot be hashed."""
# We inherit object.__hash__, so we must deny this explicitly
raise TypeError, "Can't hash a Set, only an ImmutableSet."
# In-place union, intersection, differences
def union_update(self, other):
"""Update a set with the union of itself and another."""
self._binary_sanity_check(other)
self._data.update(other._data)
return self
__ior__ = union_update
def intersection_update(self, other):
"""Update a set with the intersection of itself and another."""
self._binary_sanity_check(other)
for elt in self._data.keys():
if elt not in other:
del self._data[elt]
return self
__iand__ = intersection_update
def symmetric_difference_update(self, other):
"""Update a set with the symmetric difference of itself and another."""
self._binary_sanity_check(other)
data = self._data
value = True
for elt in other:
if elt in data:
del data[elt]
else:
data[elt] = value
return self
__ixor__ = symmetric_difference_update
def difference_update(self, other):
"""Remove all elements of another set from this set."""
self._binary_sanity_check(other)
data = self._data
for elt in other:
if elt in data:
del data[elt]
return self
__isub__ = difference_update
# Python dict-like mass mutations: update, clear
def update(self, iterable):
"""Add all values from an iterable (such as a list or file)."""
self._update(iterable)
def clear(self):
"""Remove all elements from this set."""
self._data.clear()
# Single-element mutations: add, remove, discard
def add(self, element):
"""Add an element to a set.
This has no effect if the element is already present.
"""
try:
self._data[element] = True
except TypeError:
transform = getattr(element, "_as_immutable", None)
if transform is None:
raise # re-raise the TypeError exception we caught
self._data[transform()] = True
def remove(self, element):
"""Remove an element from a set; it must be a member.
If the element is not a member, raise a KeyError.
"""
try:
del self._data[element]
except TypeError:
transform = getattr(element, "_as_temporarily_immutable", None)
if transform is None:
raise # re-raise the TypeError exception we caught
del self._data[transform()]
def discard(self, element):
"""Remove an element from a set if it is a member.
If the element is not a member, do nothing.
"""
try:
del self._data[element]
except KeyError:
pass
def pop(self):
"""Remove and return a randomly-chosen set element."""
return self._data.popitem()[0]
def _as_immutable(self):
# Return a copy of self as an immutable set
return ImmutableSet(self)
def _as_temporarily_immutable(self):
# Return self wrapped in a temporarily immutable set
return _TemporarilyImmutableSet(self)
class _TemporarilyImmutableSet(object):
# Wrap a mutable set as if it was temporarily immutable.
# This only supplies hashing and equality comparisons.
_hashcode = None
def __init__(self, set):
self._set = set
def __hash__(self):
if self._hashcode is None:
self._hashcode = self._set._compute_hash()
return self._hashcode
def __eq__(self, other):
return self._set == other
def __ne__(self, other):
return self._set != other
# Rudimentary self-tests
def _test():
# Empty set
red = Set()
assert `red` == "Set([])", "Empty set: %s" % `red`
# Unit set
green = Set((0,))
assert `green` == "Set([0])", "Unit set: %s" % `green`
# 3-element set
blue = Set([0, 1, 2])
assert blue._repr(True) == "Set([0, 1, 2])", "3-element set: %s" % `blue`
# 2-element set with other values
black = Set([0, 5])
assert black._repr(True) == "Set([0, 5])", "2-element set: %s" % `black`
# All elements from all sets
white = Set([0, 1, 2, 5])
assert white._repr(True) == "Set([0, 1, 2, 5])", "4-element set: %s" % `white`
# Add element to empty set
red.add(9)
assert `red` == "Set([9])", "Add to empty set: %s" % `red`
# Remove element from unit set
red.remove(9)
assert `red` == "Set([])", "Remove from unit set: %s" % `red`
# Remove element from empty set
try:
red.remove(0)
assert 0, "Remove element from empty set: %s" % `red`
except LookupError:
pass
# Length
assert len(red) == 0, "Length of empty set"
assert len(green) == 1, "Length of unit set"
assert len(blue) == 3, "Length of 3-element set"
# Compare
assert green == Set([0]), "Equality failed"
assert green != Set([1]), "Inequality failed"
# Union
assert blue | red == blue, "Union non-empty with empty"
assert red | blue == blue, "Union empty with non-empty"
assert green | blue == blue, "Union non-empty with non-empty"
assert blue | black == white, "Enclosing union"
# Intersection
assert blue & red == red, "Intersect non-empty with empty"
assert red & blue == red, "Intersect empty with non-empty"
assert green & blue == green, "Intersect non-empty with non-empty"
assert blue & black == green, "Enclosing intersection"
# Symmetric difference
assert red ^ green == green, "Empty symdiff non-empty"
assert green ^ blue == Set([1, 2]), "Non-empty symdiff"
assert white ^ white == red, "Self symdiff"
# Difference
assert red - green == red, "Empty - non-empty"
assert blue - red == blue, "Non-empty - empty"
assert white - black == Set([1, 2]), "Non-empty - non-empty"
# In-place union
orange = Set([])
orange |= Set([1])
assert orange == Set([1]), "In-place union"
# In-place intersection
orange = Set([1, 2])
orange &= Set([2])
assert orange == Set([2]), "In-place intersection"
# In-place difference
orange = Set([1, 2, 3])
orange -= Set([2, 4])
assert orange == Set([1, 3]), "In-place difference"
# In-place symmetric difference
orange = Set([1, 2, 3])
orange ^= Set([3, 4])
assert orange == Set([1, 2, 4]), "In-place symmetric difference"
print "All tests passed"
if __name__ == "__main__":
_test()