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python: Update bundled sortedcontainers to 2.4.0.

This is needed since the current bundled version doesn't work on Python
3.10+.

Signed-off-by: Timothy Redaelli <tredaelli@redhat.com>
Signed-off-by: Ilya Maximets <i.maximets@ovn.org>
This commit is contained in:
Timothy Redaelli
2021-07-02 12:17:21 +02:00
committed by Ilya Maximets
parent 6c41bcb138
commit 487253d5b8
5 changed files with 2512 additions and 1874 deletions

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@@ -1,4 +1,4 @@
Copyright 2014-2016 Grant Jenks
Copyright 2014-2019 Grant Jenks
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.

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@@ -1,9 +1,8 @@
"""Sorted Container Types: SortedList, SortedDict, SortedSet
"""Sorted Containers -- Sorted List, Sorted Dict, Sorted Set
SortedContainers is an Apache2 licensed containers library, written in
Sorted Containers is an Apache2 licensed containers library, written in
pure-Python, and fast as C-extensions.
Python's standard library is great until you need a sorted collections
type. Many will attest that you can get really far without one, but the moment
you **really need** a sorted list, dict, or set, you're faced with a dozen
@@ -14,39 +13,62 @@ In Python, we can do better. And we can do it in pure-Python!
::
>>> from sortedcontainers import SortedList, SortedDict, SortedSet
>>> sl = SortedList(xrange(10000000))
>>> 1234567 in sl
True
>>> sl[7654321]
7654321
>>> sl.add(1234567)
>>> sl.count(1234567)
>>> from sortedcontainers import SortedList
>>> sl = SortedList(['e', 'a', 'c', 'd', 'b'])
>>> sl
SortedList(['a', 'b', 'c', 'd', 'e'])
>>> sl *= 1000000
>>> sl.count('c')
1000000
>>> sl[-3:]
['e', 'e', 'e']
>>> from sortedcontainers import SortedDict
>>> sd = SortedDict({'c': 3, 'a': 1, 'b': 2})
>>> sd
SortedDict({'a': 1, 'b': 2, 'c': 3})
>>> sd.popitem(index=-1)
('c', 3)
>>> from sortedcontainers import SortedSet
>>> ss = SortedSet('abracadabra')
>>> ss
SortedSet(['a', 'b', 'c', 'd', 'r'])
>>> ss.bisect_left('c')
2
>>> sl *= 3
>>> len(sl)
30000003
SortedContainers takes all of the work out of Python sorted types - making your
deployment and use of Python easy. There's no need to install a C compiler or
pre-build and distribute custom extensions. Performance is a feature and
Sorted Containers takes all of the work out of Python sorted types - making
your deployment and use of Python easy. There's no need to install a C compiler
or pre-build and distribute custom extensions. Performance is a feature and
testing has 100% coverage with unit tests and hours of stress.
:copyright: (c) 2016 by Grant Jenks.
:copyright: (c) 2014-2019 by Grant Jenks.
:license: Apache 2.0, see LICENSE for more details.
"""
from .sortedlist import SortedList, SortedListWithKey
from .sortedlist import SortedList, SortedKeyList, SortedListWithKey
from .sortedset import SortedSet
from .sorteddict import SortedDict
from .sorteddict import (
SortedDict,
SortedKeysView,
SortedItemsView,
SortedValuesView,
)
__all__ = ['SortedList', 'SortedSet', 'SortedDict', 'SortedListWithKey']
__all__ = [
'SortedList',
'SortedKeyList',
'SortedListWithKey',
'SortedDict',
'SortedKeysView',
'SortedItemsView',
'SortedValuesView',
'SortedSet',
]
__title__ = 'sortedcontainers'
__version__ = '1.5.9'
__build__ = 0x010509
__version__ = '2.4.0'
__build__ = 0x020400
__author__ = 'Grant Jenks'
__license__ = 'Apache 2.0'
__copyright__ = 'Copyright 2016 Grant Jenks'
__copyright__ = '2014-2019, Grant Jenks'

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@@ -1,50 +1,153 @@
"""Sorted set implementation.
"""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 collections import Set, MutableSet, Sequence
from itertools import chain
import operator as op
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
###############################################################################
from .sortedlist import SortedList, recursive_repr, SortedListWithKey
class SortedSet(MutableSet, Sequence):
"""
A `SortedSet` provides the same methods as a `set`. Additionally, a
`SortedSet` maintains its items in sorted order, allowing the `SortedSet` to
be indexed.
"""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).
Unlike a `set`, a `SortedSet` requires items be hashable and comparable.
"""
# pylint: disable=too-many-ancestors
def __init__(self, iterable=None, key=None):
"""
A `SortedSet` provides the same methods as a `set`. Additionally, a
`SortedSet` maintains its items in sorted order, allowing the
`SortedSet` to be indexed.
"""Initialize sorted set instance.
An optional *iterable* provides an initial series of items to populate
the `SortedSet`.
Optional `iterable` argument provides an initial iterable of values to
initialize the sorted set.
An optional *key* argument defines a callable that, like the `key`
Optional `key` argument defines a callable that, like the `key`
argument to Python's `sorted` function, extracts a comparison key from
each set item. If no function is specified, the default compares the
set items directly.
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
if key is None:
self._list = SortedList(self._set)
else:
self._list = SortedListWithKey(self._set, key=key)
# Expose some sorted list methods publicly.
_list = self._list
self.bisect_left = _list.bisect_left
@@ -53,7 +156,7 @@ class SortedSet(MutableSet, Sequence):
self.index = _list.index
self.irange = _list.irange
self.islice = _list.islice
self._reset = _list._reset # pylint: disable=protected-access
self._reset = _list._reset
if key is not None:
self.bisect_key_left = _list.bisect_key_left
@@ -64,36 +167,93 @@ class SortedSet(MutableSet, Sequence):
if iterable is not None:
self._update(iterable)
@property
def key(self):
"""Key function used to extract comparison key for sorting."""
return self._key
@classmethod
def _fromset(cls, values, key=None):
"""Initialize sorted set from existing set."""
"""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 # pylint: disable=protected-access
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 and only if *value* is an element in the set."""
"""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):
"""
Return the element at position *index*.
Supports slice notation and negative indexes.
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 the element at position *index*.
Supports slice notation and negative indexes.
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
@@ -105,149 +265,316 @@ class SortedSet(MutableSet, Sequence):
_set.remove(value)
del _list[index]
def _make_cmp(self, set_op, doc):
def __make_cmp(set_op, symbol, doc):
"Make comparator method."
def comparer(self, that):
"Compare method for sorted set and set-like object."
# pylint: disable=protected-access
if isinstance(that, SortedSet):
return set_op(self._set, that._set)
elif isinstance(that, Set):
return set_op(self._set, that)
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
comparer.__name__ = '__{0}__'.format(set_op.__name__)
doc_str = 'Return True if and only if Set is {0} `that`.'
comparer.__doc__ = doc_str.format(doc)
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(None, op.eq, 'equal to')
__ne__ = _make_cmp(None, op.ne, 'not equal to')
__lt__ = _make_cmp(None, op.lt, 'a proper subset of')
__gt__ = _make_cmp(None, op.gt, 'a proper superset of')
__le__ = _make_cmp(None, op.le, 'a subset of')
__ge__ = _make_cmp(None, op.ge, 'a superset of')
__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 number of elements in the set."""
"""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 Set. Elements are iterated in their sorted
order.
Iterating the Set while adding or deleting values may raise a
`RuntimeError` or fail to iterate over all entries.
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 an iterator over the Set. Elements are iterated in their reverse
sorted order.
Iterating the Set while adding or deleting values may raise a
`RuntimeError` or fail to iterate over all entries.
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 the element *value* to the set."""
"""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 elements from the set."""
"""Remove all values from sorted set.
Runtime complexity: `O(n)`
"""
self._set.clear()
self._list.clear()
def copy(self):
"""Create a shallow copy of the sorted set."""
"""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 the number of occurrences of *value* in the set."""
"""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 the first occurrence of *value*. If *value* is not a member,
does nothing.
"""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.discard(value)
self._list.remove(value)
_discard = discard
def pop(self, index=-1):
"""
Remove and return item at *index* (default last). Raises IndexError if
set is empty or index is out of range. Negative indexes are supported,
as for slice indices.
"""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 first occurrence of *value*. Raises ValueError if
*value* is not present.
"""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 a new set with elements in the set that are not in the
*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
__rsub__ = __sub__
def difference_update(self, *iterables):
"""
Update the set, removing elements found in keeping only elements
found in any of the *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):
_list = self._list
_set.difference_update(values)
_list.clear()
_list.update(_set)
else:
_discard = self.discard
_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
"""
Return a new set with elements common to the set and all *iterables*.
"""
comb = self._set.intersection(*iterables)
return self._fromset(comb, key=self._key)
intersect = self._set.intersection(*iterables)
return self._fromset(intersect, key=self._key)
__and__ = intersection
__rand__ = __and__
def intersection_update(self, *iterables):
"""
Update the set, keeping only elements found in it and all *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
@@ -258,42 +585,100 @@ class SortedSet(MutableSet, Sequence):
__iand__ = intersection_update
def symmetric_difference(self, that):
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
"""
Return a new set with elements in either *self* or *that* but not both.
"""
diff = self._set.symmetric_difference(that)
diff = self._set.symmetric_difference(other)
return self._fromset(diff, key=self._key)
__xor__ = symmetric_difference
__rxor__ = __xor__
def symmetric_difference_update(self, that):
"""
Update the set, keeping only elements found in either *self* or *that*,
but not in both.
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(that)
_set.symmetric_difference_update(other)
_list.clear()
_list.update(_set)
return self
__ixor__ = symmetric_difference_update
def union(self, *iterables):
"""
Return a new SortedSet with elements from the set and all *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 set, adding elements from all *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
@@ -301,7 +686,7 @@ class SortedSet(MutableSet, Sequence):
_list.clear()
_list.update(_set)
else:
_add = self.add
_add = self._add
for value in values:
_add(value)
return self
@@ -309,19 +694,40 @@ class SortedSet(MutableSet, Sequence):
__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
@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)
name = type(self).__name__
return '{0}({1!r}{2})'.format(name, list(self), key)
type_name = type(self).__name__
return '{0}({1!r}{2})'.format(type_name, list(self), key)
def _check(self):
# pylint: disable=protected-access
self._list._check()
assert len(self._set) == len(self._list)
"""Check invariants of sorted set.
Runtime complexity: `O(n)`
"""
_set = self._set
assert all(val in _set for val in self._list)
_list = self._list
_list._check()
assert len(_set) == len(_list)
assert all(value in _set for value in _list)