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sortedset.py
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"""Sorted Set ============= :doc:`Sorted Containers<index>` is an Apache2 licensed Python sorted collections library, written in pure-Python, and fast as C-extensions. The :doc:`introduction<introduction>` is the best way to get started. Sorted set implementations: .. currentmodule:: sortedcontainers * :class:`SortedSet` """ from itertools import chain from operator import eq, ne, gt, ge, lt, le from textwrap import dedent from .sortedlist import SortedList, recursive_repr ############################################################################### # BEGIN Python 2/3 Shims ############################################################################### try: from collections.abc import MutableSet, Sequence, Set except ImportError: from collections import MutableSet, Sequence, Set ############################################################################### # END Python 2/3 Shims ############################################################################### class SortedSet(MutableSet, Sequence): """Sorted set is a sorted mutable set. Sorted set values are maintained in sorted order. The design of sorted set is simple: sorted set uses a set for set-operations and maintains a sorted list of values. Sorted set values must be hashable and comparable. The hash and total ordering of values must not change while they are stored in the sorted set. Mutable set methods: * :func:`SortedSet.__contains__` * :func:`SortedSet.__iter__` * :func:`SortedSet.__len__` * :func:`SortedSet.add` * :func:`SortedSet.discard` Sequence methods: * :func:`SortedSet.__getitem__` * :func:`SortedSet.__delitem__` * :func:`SortedSet.__reversed__` Methods for removing values: * :func:`SortedSet.clear` * :func:`SortedSet.pop` * :func:`SortedSet.remove` Set-operation methods: * :func:`SortedSet.difference` * :func:`SortedSet.difference_update` * :func:`SortedSet.intersection` * :func:`SortedSet.intersection_update` * :func:`SortedSet.symmetric_difference` * :func:`SortedSet.symmetric_difference_update` * :func:`SortedSet.union` * :func:`SortedSet.update` Methods for miscellany: * :func:`SortedSet.copy` * :func:`SortedSet.count` * :func:`SortedSet.__repr__` * :func:`SortedSet._check` Sorted list methods available: * :func:`SortedList.bisect_left` * :func:`SortedList.bisect_right` * :func:`SortedList.index` * :func:`SortedList.irange` * :func:`SortedList.islice` * :func:`SortedList._reset` Additional sorted list methods available, if key-function used: * :func:`SortedKeyList.bisect_key_left` * :func:`SortedKeyList.bisect_key_right` * :func:`SortedKeyList.irange_key` Sorted set comparisons use subset and superset relations. Two sorted sets are equal if and only if every element of each sorted set is contained in the other (each is a subset of the other). A sorted set is less than another sorted set if and only if the first sorted set is a proper subset of the second sorted set (is a subset, but is not equal). A sorted set is greater than another sorted set if and only if the first sorted set is a proper superset of the second sorted set (is a superset, but is not equal). """ def __init__(self, iterable=None, key=None): """Initialize sorted set instance. Optional `iterable` argument provides an initial iterable of values to initialize the sorted set. Optional `key` argument defines a callable that, like the `key` argument to Python's `sorted` function, extracts a comparison key from each value. The default, none, compares values directly. Runtime complexity: `O(n*log(n))` >>> ss = SortedSet([3, 1, 2, 5, 4]) >>> ss SortedSet([1, 2, 3, 4, 5]) >>> from operator import neg >>> ss = SortedSet([3, 1, 2, 5, 4], neg) >>> ss SortedSet([5, 4, 3, 2, 1], key=<built-in function neg>) :param iterable: initial values (optional) :param key: function used to extract comparison key (optional) """ self._key = key # SortedSet._fromset calls SortedSet.__init__ after initializing the # _set attribute. So only create a new set if the _set attribute is not # already present. if not hasattr(self, '_set'): self._set = set() self._list = SortedList(self._set, key=key) # Expose some set methods publicly. _set = self._set self.isdisjoint = _set.isdisjoint self.issubset = _set.issubset self.issuperset = _set.issuperset # Expose some sorted list methods publicly. _list = self._list self.bisect_left = _list.bisect_left self.bisect = _list.bisect self.bisect_right = _list.bisect_right self.index = _list.index self.irange = _list.irange self.islice = _list.islice self._reset = _list._reset if key is not None: self.bisect_key_left = _list.bisect_key_left self.bisect_key_right = _list.bisect_key_right self.bisect_key = _list.bisect_key self.irange_key = _list.irange_key if iterable is not None: self._update(iterable) @classmethod def _fromset(cls, values, key=None): """Initialize sorted set from existing set. Used internally by set operations that return a new set. """ sorted_set = object.__new__(cls) sorted_set._set = values sorted_set.__init__(key=key) return sorted_set @property def key(self): """Function used to extract comparison key from values. Sorted set compares values directly when the key function is none. """ return self._key def __contains__(self, value): """Return true if `value` is an element of the sorted set. ``ss.__contains__(value)`` <==> ``value in ss`` Runtime complexity: `O(1)` >>> ss = SortedSet([1, 2, 3, 4, 5]) >>> 3 in ss True :param value: search for value in sorted set :return: true if `value` in sorted set """ return value in self._set def __getitem__(self, index): """Lookup value at `index` in sorted set. ``ss.__getitem__(index)`` <==> ``ss[index]`` Supports slicing. Runtime complexity: `O(log(n))` -- approximate. >>> ss = SortedSet('abcde') >>> ss[2] 'c' >>> ss[-1] 'e' >>> ss[2:5] ['c', 'd', 'e'] :param index: integer or slice for indexing :return: value or list of values :raises IndexError: if index out of range """ return self._list[index] def __delitem__(self, index): """Remove value at `index` from sorted set. ``ss.__delitem__(index)`` <==> ``del ss[index]`` Supports slicing. Runtime complexity: `O(log(n))` -- approximate. >>> ss = SortedSet('abcde') >>> del ss[2] >>> ss SortedSet(['a', 'b', 'd', 'e']) >>> del ss[:2] >>> ss SortedSet(['d', 'e']) :param index: integer or slice for indexing :raises IndexError: if index out of range """ _set = self._set _list = self._list if isinstance(index, slice): values = _list[index] _set.difference_update(values) else: value = _list[index] _set.remove(value) del _list[index] def __make_cmp(set_op, symbol, doc): "Make comparator method." def comparer(self, other): "Compare method for sorted set and set." if isinstance(other, SortedSet): return set_op(self._set, other._set) elif isinstance(other, Set): return set_op(self._set, other) return NotImplemented set_op_name = set_op.__name__ comparer.__name__ = '__{0}__'.format(set_op_name) doc_str = """Return true if and only if sorted set is {0} `other`. ``ss.__{1}__(other)`` <==> ``ss {2} other`` Comparisons use subset and superset semantics as with sets. Runtime complexity: `O(n)` :param other: `other` set :return: true if sorted set is {0} `other` """ comparer.__doc__ = dedent(doc_str.format(doc, set_op_name, symbol)) return comparer __eq__ = __make_cmp(eq, '==', 'equal to') __ne__ = __make_cmp(ne, '!=', 'not equal to') __lt__ = __make_cmp(lt, '<', 'a proper subset of') __gt__ = __make_cmp(gt, '>', 'a proper superset of') __le__ = __make_cmp(le, '<=', 'a subset of') __ge__ = __make_cmp(ge, '>=', 'a superset of') __make_cmp = staticmethod(__make_cmp) def __len__(self): """Return the size of the sorted set. ``ss.__len__()`` <==> ``len(ss)`` :return: size of sorted set """ return len(self._set) def __iter__(self): """Return an iterator over the sorted set. ``ss.__iter__()`` <==> ``iter(ss)`` Iterating the sorted set while adding or deleting values may raise a :exc:`RuntimeError` or fail to iterate over all values. """ return iter(self._list) def __reversed__(self): """Return a reverse iterator over the sorted set. ``ss.__reversed__()`` <==> ``reversed(ss)`` Iterating the sorted set while adding or deleting values may raise a :exc:`RuntimeError` or fail to iterate over all values. """ return reversed(self._list) def add(self, value): """Add `value` to sorted set. Runtime complexity: `O(log(n))` -- approximate. >>> ss = SortedSet() >>> ss.add(3) >>> ss.add(1) >>> ss.add(2) >>> ss SortedSet([1, 2, 3]) :param value: value to add to sorted set """ _set = self._set if value not in _set: _set.add(value) self._list.add(value) _add = add def clear(self): """Remove all values from sorted set. Runtime complexity: `O(n)` """ self._set.clear() self._list.clear() def copy(self): """Return a shallow copy of the sorted set. Runtime complexity: `O(n)` :return: new sorted set """ return self._fromset(set(self._set), key=self._key) __copy__ = copy def count(self, value): """Return number of occurrences of `value` in the sorted set. Runtime complexity: `O(1)` >>> ss = SortedSet([1, 2, 3, 4, 5]) >>> ss.count(3) 1 :param value: value to count in sorted set :return: count """ return 1 if value in self._set else 0 def discard(self, value): """Remove `value` from sorted set if it is a member. If `value` is not a member, do nothing. Runtime complexity: `O(log(n))` -- approximate. >>> ss = SortedSet([1, 2, 3, 4, 5]) >>> ss.discard(5) >>> ss.discard(0) >>> ss == set([1, 2, 3, 4]) True :param value: `value` to discard from sorted set """ _set = self._set if value in _set: _set.remove(value) self._list.remove(value) _discard = discard def pop(self, index=-1): """Remove and return value at `index` in sorted set. Raise :exc:`IndexError` if the sorted set is empty or index is out of range. Negative indices are supported. Runtime complexity: `O(log(n))` -- approximate. >>> ss = SortedSet('abcde') >>> ss.pop() 'e' >>> ss.pop(2) 'c' >>> ss SortedSet(['a', 'b', 'd']) :param int index: index of value (default -1) :return: value :raises IndexError: if index is out of range """ # pylint: disable=arguments-differ value = self._list.pop(index) self._set.remove(value) return value def remove(self, value): """Remove `value` from sorted set; `value` must be a member. If `value` is not a member, raise :exc:`KeyError`. Runtime complexity: `O(log(n))` -- approximate. >>> ss = SortedSet([1, 2, 3, 4, 5]) >>> ss.remove(5) >>> ss == set([1, 2, 3, 4]) True >>> ss.remove(0) Traceback (most recent call last): ... KeyError: 0 :param value: `value` to remove from sorted set :raises KeyError: if `value` is not in sorted set """ self._set.remove(value) self._list.remove(value) def difference(self, *iterables): """Return the difference of two or more sets as a new sorted set. The `difference` method also corresponds to operator ``-``. ``ss.__sub__(iterable)`` <==> ``ss - iterable`` The difference is all values that are in this sorted set but not the other `iterables`. >>> ss = SortedSet([1, 2, 3, 4, 5]) >>> ss.difference([4, 5, 6, 7]) SortedSet([1, 2, 3]) :param iterables: iterable arguments :return: new sorted set """ diff = self._set.difference(*iterables) return self._fromset(diff, key=self._key) __sub__ = difference def difference_update(self, *iterables): """Remove all values of `iterables` from this sorted set. The `difference_update` method also corresponds to operator ``-=``. ``ss.__isub__(iterable)`` <==> ``ss -= iterable`` >>> ss = SortedSet([1, 2, 3, 4, 5]) >>> _ = ss.difference_update([4, 5, 6, 7]) >>> ss SortedSet([1, 2, 3]) :param iterables: iterable arguments :return: itself """ _set = self._set _list = self._list values = set(chain(*iterables)) if (4 * len(values)) > len(_set): _set.difference_update(values) _list.clear() _list.update(_set) else: _discard = self._discard for value in values: _discard(value) return self __isub__ = difference_update def intersection(self, *iterables): """Return the intersection of two or more sets as a new sorted set. The `intersection` method also corresponds to operator ``&``. ``ss.__and__(iterable)`` <==> ``ss & iterable`` The intersection is all values that are in this sorted set and each of the other `iterables`. >>> ss = SortedSet([1, 2, 3, 4, 5]) >>> ss.intersection([4, 5, 6, 7]) SortedSet([4, 5]) :param iterables: iterable arguments :return: new sorted set """ intersect = self._set.intersection(*iterables) return self._fromset(intersect, key=self._key) __and__ = intersection __rand__ = __and__ def intersection_update(self, *iterables): """Update the sorted set with the intersection of `iterables`. The `intersection_update` method also corresponds to operator ``&=``. ``ss.__iand__(iterable)`` <==> ``ss &= iterable`` Keep only values found in itself and all `iterables`. >>> ss = SortedSet([1, 2, 3, 4, 5]) >>> _ = ss.intersection_update([4, 5, 6, 7]) >>> ss SortedSet([4, 5]) :param iterables: iterable arguments :return: itself """ _set = self._set _list = self._list _set.intersection_update(*iterables) _list.clear() _list.update(_set) return self __iand__ = intersection_update def symmetric_difference(self, other): """Return the symmetric difference with `other` as a new sorted set. The `symmetric_difference` method also corresponds to operator ``^``. ``ss.__xor__(other)`` <==> ``ss ^ other`` The symmetric difference is all values tha are in exactly one of the sets. >>> ss = SortedSet([1, 2, 3, 4, 5]) >>> ss.symmetric_difference([4, 5, 6, 7]) SortedSet([1, 2, 3, 6, 7]) :param other: `other` iterable :return: new sorted set """ diff = self._set.symmetric_difference(other) return self._fromset(diff, key=self._key) __xor__ = symmetric_difference __rxor__ = __xor__ def symmetric_difference_update(self, other): """Update the sorted set with the symmetric difference with `other`. The `symmetric_difference_update` method also corresponds to operator ``^=``. ``ss.__ixor__(other)`` <==> ``ss ^= other`` Keep only values found in exactly one of itself and `other`. >>> ss = SortedSet([1, 2, 3, 4, 5]) >>> _ = ss.symmetric_difference_update([4, 5, 6, 7]) >>> ss SortedSet([1, 2, 3, 6, 7]) :param other: `other` iterable :return: itself """ _set = self._set _list = self._list _set.symmetric_difference_update(other) _list.clear() _list.update(_set) return self __ixor__ = symmetric_difference_update def union(self, *iterables): """Return new sorted set with values from itself and all `iterables`. The `union` method also corresponds to operator ``|``. ``ss.__or__(iterable)`` <==> ``ss | iterable`` >>> ss = SortedSet([1, 2, 3, 4, 5]) >>> ss.union([4, 5, 6, 7]) SortedSet([1, 2, 3, 4, 5, 6, 7]) :param iterables: iterable arguments :return: new sorted set """ return self.__class__(chain(iter(self), *iterables), key=self._key) __or__ = union __ror__ = __or__ def update(self, *iterables): """Update the sorted set adding values from all `iterables`. The `update` method also corresponds to operator ``|=``. ``ss.__ior__(iterable)`` <==> ``ss |= iterable`` >>> ss = SortedSet([1, 2, 3, 4, 5]) >>> _ = ss.update([4, 5, 6, 7]) >>> ss SortedSet([1, 2, 3, 4, 5, 6, 7]) :param iterables: iterable arguments :return: itself """ _set = self._set _list = self._list values = set(chain(*iterables)) if (4 * len(values)) > len(_set): _list = self._list _set.update(values) _list.clear() _list.update(_set) else: _add = self._add for value in values: _add(value) return self __ior__ = update _update = update def __reduce__(self): """Support for pickle. The tricks played with exposing methods in :func:`SortedSet.__init__` confuse pickle so customize the reducer. """ return (type(self), (self._set, self._key)) @recursive_repr() def __repr__(self): """Return string representation of sorted set. ``ss.__repr__()`` <==> ``repr(ss)`` :return: string representation """ _key = self._key key = '' if _key is None else ', key={0!r}'.format(_key) type_name = type(self).__name__ return '{0}({1!r}{2})'.format(type_name, list(self), key) def _check(self): """Check invariants of sorted set. Runtime complexity: `O(n)` """ _set = self._set _list = self._list _list._check() assert len(_set) == len(_list) assert all(value in _set for value in _list)