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py311/lib/python3.11/site-packages/Levenshtein/StringMatcher.py

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+from __future__ import annotations
+
+from warnings import warn
+
+from Levenshtein import distance, editops, matching_blocks, opcodes, ratio
+
+
+class StringMatcher:
+    """A SequenceMatcher-like class built on the top of Levenshtein"""
+
+    def _reset_cache(self):
+        self._ratio = self._distance = None
+        self._opcodes = self._editops = self._matching_blocks = None
+
+    def __init__(self, isjunk=None, seq1="", seq2="", autojunk=False):
+        if isjunk:
+            warn("isjunk NOT implemented, it will be ignored", stacklevel=1)
+        if autojunk:
+            warn("autojunk NOT implemented, it will be ignored", stacklevel=1)
+        self._str1, self._str2 = seq1, seq2
+        self._reset_cache()
+
+    def set_seqs(self, seq1, seq2):
+        self._str1, self._str2 = seq1, seq2
+        self._reset_cache()
+
+    def set_seq1(self, seq1):
+        self._str1 = seq1
+        self._reset_cache()
+
+    def set_seq2(self, seq2):
+        self._str2 = seq2
+        self._reset_cache()
+
+    def get_opcodes(self):
+        if not self._opcodes:
+            if self._editops:
+                self._opcodes = opcodes(self._editops, self._str1, self._str2)
+            else:
+                self._opcodes = opcodes(self._str1, self._str2)
+        return self._opcodes
+
+    def get_editops(self):
+        if not self._editops:
+            if self._opcodes:
+                self._editops = editops(self._opcodes, self._str1, self._str2)
+            else:
+                self._editops = editops(self._str1, self._str2)
+        return self._editops
+
+    def get_matching_blocks(self):
+        if not self._matching_blocks:
+            self._matching_blocks = matching_blocks(self.get_opcodes(), self._str1, self._str2)
+        return self._matching_blocks
+
+    def ratio(self):
+        if not self._ratio:
+            self._ratio = ratio(self._str1, self._str2)
+        return self._ratio
+
+    def quick_ratio(self):
+        # This is usually quick enough :o)
+        if not self._ratio:
+            self._ratio = ratio(self._str1, self._str2)
+        return self._ratio
+
+    def real_quick_ratio(self):
+        len1, len2 = len(self._str1), len(self._str2)
+        return 2.0 * min(len1, len2) / (len1 + len2)
+
+    def distance(self):
+        if not self._distance:
+            self._distance = distance(self._str1, self._str2)
+        return self._distance

py311/lib/python3.11/site-packages/Levenshtein/__init__.py

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+"""
+A C extension module for fast computation of:
+- Levenshtein (edit) distance and edit sequence manipulation
+- string similarity
+- approximate median strings, and generally string averaging
+- string sequence and set similarity
+
+Levenshtein has a some overlap with difflib (SequenceMatcher).  It
+supports only strings, not arbitrary sequence types, but on the
+other hand it's much faster.
+
+It supports both normal and Unicode strings, but can't mix them, all
+arguments to a function (method) have to be of the same type (or its
+subclasses).
+"""
+
+from __future__ import annotations
+
+__author__: str = "Max Bachmann"
+__license__: str = "GPL"
+__version__: str = "0.27.3"
+
+import rapidfuzz.distance.Hamming as _Hamming
+import rapidfuzz.distance.Indel as _Indel
+import rapidfuzz.distance.Jaro as _Jaro
+import rapidfuzz.distance.JaroWinkler as _JaroWinkler
+import rapidfuzz.distance.Levenshtein as _Levenshtein
+from rapidfuzz.distance import (
+    Editops as _Editops,
+)
+from rapidfuzz.distance import (
+    Opcodes as _Opcodes,
+)
+
+from Levenshtein.levenshtein_cpp import (
+    median,
+    median_improve,
+    quickmedian,
+    seqratio,
+    setmedian,
+    setratio,
+)
+
+__all__ = [
+    "quickmedian",
+    "median",
+    "median_improve",
+    "setmedian",
+    "setratio",
+    "seqratio",
+    "distance",
+    "ratio",
+    "hamming",
+    "jaro",
+    "jaro_winkler",
+    "editops",
+    "opcodes",
+    "matching_blocks",
+    "apply_edit",
+    "subtract_edit",
+    "inverse",
+]
+
+
+def distance(s1, s2, *, weights=(1, 1, 1), processor=None, score_cutoff=None, score_hint=None):
+    """
+    Calculates the minimum number of insertions, deletions, and substitutions
+    required to change one sequence into the other according to Levenshtein with custom
+    costs for insertion, deletion and substitution
+
+    Parameters
+    ----------
+    s1 : Sequence[Hashable]
+        First string to compare.
+    s2 : Sequence[Hashable]
+        Second string to compare.
+    weights : Tuple[int, int, int] or None, optional
+        The weights for the three operations in the form
+        (insertion, deletion, substitution). Default is (1, 1, 1),
+        which gives all three operations a weight of 1.
+    processor: callable, optional
+        Optional callable that is used to preprocess the strings before
+        comparing them. Default is None, which deactivates this behaviour.
+    score_cutoff : int, optional
+        Maximum distance between s1 and s2, that is
+        considered as a result. If the distance is bigger than score_cutoff,
+        score_cutoff + 1 is returned instead. Default is None, which deactivates
+        this behaviour.
+    score_hint : int, optional
+        Expected distance between s1 and s2. This is used to select a
+        faster implementation. Default is None, which deactivates this behaviour.
+
+    Returns
+    -------
+    distance : int
+        distance between s1 and s2
+
+    Raises
+    ------
+    ValueError
+        If unsupported weights are provided a ValueError is thrown
+
+    Examples
+    --------
+    Find the Levenshtein distance between two strings:
+
+    >>> from Levenshtein import distance
+    >>> distance("lewenstein", "levenshtein")
+    2
+
+    Setting a maximum distance allows the implementation to select
+    a more efficient implementation:
+
+    >>> distance("lewenstein", "levenshtein", score_cutoff=1)
+    2
+
+    It is possible to select different weights by passing a `weight`
+    tuple.
+
+    >>> distance("lewenstein", "levenshtein", weights=(1,1,2))
+    3
+    """
+    return _Levenshtein.distance(
+        s1,
+        s2,
+        weights=weights,
+        processor=processor,
+        score_cutoff=score_cutoff,
+        score_hint=score_hint,
+    )
+
+
+def ratio(s1, s2, *, processor=None, score_cutoff=None):
+    """
+    Calculates a normalized indel similarity in the range [0, 1].
+    The indel distance calculates the minimum number of insertions and deletions
+    required to change one sequence into the other.
+
+    This is calculated as ``1 - (distance / (len1 + len2))``
+
+    Parameters
+    ----------
+    s1 : Sequence[Hashable]
+        First string to compare.
+    s2 : Sequence[Hashable]
+        Second string to compare.
+    processor: callable, optional
+        Optional callable that is used to preprocess the strings before
+        comparing them. Default is None, which deactivates this behaviour.
+    score_cutoff : float, optional
+        Optional argument for a score threshold as a float between 0 and 1.0.
+        For norm_sim < score_cutoff 0 is returned instead. Default is 0,
+        which deactivates this behaviour.
+
+    Returns
+    -------
+    norm_sim : float
+        normalized similarity between s1 and s2 as a float between 0 and 1.0
+
+    Examples
+    --------
+    Find the normalized Indel similarity between two strings:
+
+    >>> from Levenshtein import ratio
+    >>> ratio("lewenstein", "levenshtein")
+    0.85714285714285
+
+    Setting a score_cutoff allows the implementation to select
+    a more efficient implementation:
+
+    >>> ratio("lewenstein", "levenshtein", score_cutoff=0.9)
+    0.0
+
+    When a different processor is used s1 and s2 do not have to be strings
+
+    >>> ratio(["lewenstein"], ["levenshtein"], processor=lambda s: s[0])
+    0.8571428571428572
+    """
+    return _Indel.normalized_similarity(s1, s2, processor=processor, score_cutoff=score_cutoff)
+
+
+def hamming(s1, s2, *, pad=True, processor=None, score_cutoff=None):
+    """
+    Calculates the Hamming distance between two strings.
+    The hamming distance is defined as the number of positions
+    where the two strings differ. It describes the minimum
+    amount of substitutions required to transform s1 into s2.
+
+    Parameters
+    ----------
+    s1 : Sequence[Hashable]
+        First string to compare.
+    s2 : Sequence[Hashable]
+        Second string to compare.
+    pad : bool, optional
+       should strings be padded if there is a length difference.
+       If pad is False and strings have a different length
+       a ValueError is thrown instead. Default is True.
+    processor: callable, optional
+        Optional callable that is used to preprocess the strings before
+        comparing them. Default is None, which deactivates this behaviour.
+    score_cutoff : int or None, optional
+        Maximum distance between s1 and s2, that is
+        considered as a result. If the distance is bigger than score_cutoff,
+        score_cutoff + 1 is returned instead. Default is None, which deactivates
+        this behaviour.
+
+    Returns
+    -------
+    distance : int
+        distance between s1 and s2
+
+    Raises
+    ------
+    ValueError
+        If s1 and s2 have a different length
+    """
+    return _Hamming.distance(s1, s2, pad=pad, processor=processor, score_cutoff=score_cutoff)
+
+
+def jaro(s1, s2, *, processor=None, score_cutoff=None) -> float:
+    """
+    Calculates the jaro similarity
+
+    Parameters
+    ----------
+    s1 : Sequence[Hashable]
+        First string to compare.
+    s2 : Sequence[Hashable]
+        Second string to compare.
+    processor: callable, optional
+        Optional callable that is used to preprocess the strings before
+        comparing them. Default is None, which deactivates this behaviour.
+    score_cutoff : float, optional
+        Optional argument for a score threshold as a float between 0 and 1.0.
+        For ratio < score_cutoff 0 is returned instead. Default is None,
+        which deactivates this behaviour.
+
+    Returns
+    -------
+    similarity : float
+        similarity between s1 and s2 as a float between 0 and 1.0
+    """
+    return _Jaro.similarity(s1, s2, processor=processor, score_cutoff=score_cutoff)
+
+
+def jaro_winkler(s1, s2, *, prefix_weight=0.1, processor=None, score_cutoff=None) -> float:
+    """
+    Calculates the jaro winkler similarity
+
+    Parameters
+    ----------
+    s1 : Sequence[Hashable]
+        First string to compare.
+    s2 : Sequence[Hashable]
+        Second string to compare.
+    prefix_weight : float, optional
+        Weight used for the common prefix of the two strings.
+        Has to be between 0 and 0.25. Default is 0.1.
+    processor: callable, optional
+        Optional callable that is used to preprocess the strings before
+        comparing them. Default is None, which deactivates this behaviour.
+    score_cutoff : float, optional
+        Optional argument for a score threshold as a float between 0 and 1.0.
+        For ratio < score_cutoff 0 is returned instead. Default is None,
+        which deactivates this behaviour.
+
+    Returns
+    -------
+    similarity : float
+        similarity between s1 and s2 as a float between 0 and 1.0
+
+    Raises
+    ------
+    ValueError
+        If prefix_weight is invalid
+    """
+    return _JaroWinkler.similarity(
+        s1,
+        s2,
+        prefix_weight=prefix_weight,
+        processor=processor,
+        score_cutoff=score_cutoff,
+    )
+
+
+# assign attributes to function. This allows rapidfuzz to call them more efficiently
+# we can't directly copy the functions + replace the docstrings, since this leads to
+# crashes on PyPy
+distance._RF_OriginalScorer = distance
+ratio._RF_OriginalScorer = ratio
+hamming._RF_OriginalScorer = hamming
+jaro._RF_OriginalScorer = jaro
+jaro_winkler._RF_OriginalScorer = jaro_winkler
+
+distance._RF_ScorerPy = _Levenshtein.distance._RF_ScorerPy
+ratio._RF_ScorerPy = _Indel.normalized_similarity._RF_ScorerPy
+hamming._RF_ScorerPy = _Hamming.distance._RF_ScorerPy
+jaro._RF_ScorerPy = _Jaro.similarity._RF_ScorerPy
+jaro_winkler._RF_ScorerPy = _JaroWinkler.similarity._RF_ScorerPy
+
+if hasattr(_Levenshtein.distance, "_RF_Scorer"):
+    distance._RF_Scorer = _Levenshtein.distance._RF_Scorer
+if hasattr(_Indel.normalized_similarity, "_RF_Scorer"):
+    ratio._RF_Scorer = _Indel.normalized_similarity._RF_Scorer
+if hasattr(_Hamming.distance, "_RF_Scorer"):
+    hamming._RF_Scorer = _Hamming.distance._RF_Scorer
+if hasattr(_Jaro.similarity, "_RF_Scorer"):
+    jaro._RF_Scorer = _Jaro.similarity._RF_Scorer
+if hasattr(_JaroWinkler.similarity, "_RF_Scorer"):
+    jaro_winkler._RF_Scorer = _JaroWinkler.similarity._RF_Scorer
+
+
+def editops(*args):
+    """
+    Find sequence of edit operations transforming one string to another.
+
+    editops(source_string, destination_string)
+    editops(edit_operations, source_length, destination_length)
+
+    The result is a list of triples (operation, spos, dpos), where
+    operation is one of 'equal', 'replace', 'insert', or 'delete';  spos
+    and dpos are position of characters in the first (source) and the
+    second (destination) strings.  These are operations on single
+    characters.  In fact the returned list doesn't contain the 'equal',
+    but all the related functions accept both lists with and without
+    'equal's.
+
+    Examples
+    --------
+    >>> editops('spam', 'park')
+    [('delete', 0, 0), ('insert', 3, 2), ('replace', 3, 3)]
+
+    The alternate form editops(opcodes, source_string, destination_string)
+    can be used for conversion from opcodes (5-tuples) to editops (you can
+    pass strings or their lengths, it doesn't matter).
+    """
+    # convert: we were called (bops, s1, s2)
+    if len(args) == 3:
+        arg1, arg2, arg3 = args
+        len1 = arg2 if isinstance(arg2, int) else len(arg2)
+        len2 = arg3 if isinstance(arg3, int) else len(arg3)
+        return _Editops(arg1, len1, len2).as_list()
+
+    # find editops: we were called (s1, s2)
+    arg1, arg2 = args
+    return _Levenshtein.editops(arg1, arg2).as_list()
+
+
+def opcodes(*args):
+    """
+    Find sequence of edit operations transforming one string to another.
+
+    opcodes(source_string, destination_string)
+    opcodes(edit_operations, source_length, destination_length)
+
+    The result is a list of 5-tuples with the same meaning as in
+    SequenceMatcher's get_opcodes() output.  But since the algorithms
+    differ, the actual sequences from Levenshtein and SequenceMatcher
+    may differ too.
+
+    Examples
+    --------
+    >>> for x in opcodes('spam', 'park'):
+    ...     print(x)
+    ...
+    ('delete', 0, 1, 0, 0)
+    ('equal', 1, 3, 0, 2)
+    ('insert', 3, 3, 2, 3)
+    ('replace', 3, 4, 3, 4)
+
+    The alternate form opcodes(editops, source_string, destination_string)
+    can be used for conversion from editops (triples) to opcodes (you can
+    pass strings or their lengths, it doesn't matter).
+    """
+    # convert: we were called (ops, s1, s2)
+    if len(args) == 3:
+        arg1, arg2, arg3 = args
+        len1 = arg2 if isinstance(arg2, int) else len(arg2)
+        len2 = arg3 if isinstance(arg3, int) else len(arg3)
+        return _Opcodes(arg1, len1, len2).as_list()
+
+    # find editops: we were called (s1, s2)
+    arg1, arg2 = args
+    return _Levenshtein.opcodes(arg1, arg2).as_list()
+
+
+def matching_blocks(edit_operations, source_string, destination_string):
+    """
+    Find identical blocks in two strings.
+
+    Parameters
+    ----------
+    edit_operations : list[]
+        editops or opcodes created for the source and destination string
+    source_string : str | int
+        source string or the length of the source string
+    destination_string : str | int
+        destination string or the length of the destination string
+
+    Returns
+    -------
+    matching_blocks : list[]
+        List of triples with the same meaning as in SequenceMatcher's
+        get_matching_blocks() output.
+
+    Examples
+    --------
+    >>> a, b = 'spam', 'park'
+    >>> matching_blocks(editops(a, b), a, b)
+    [(1, 0, 2), (4, 4, 0)]
+    >>> matching_blocks(editops(a, b), len(a), len(b))
+    [(1, 0, 2), (4, 4, 0)]
+
+    The last zero-length block is not an error, but it's there for
+    compatibility with difflib which always emits it.
+
+    One can join the matching blocks to get two identical strings:
+
+    >>> a, b = 'dog kennels', 'mattresses'
+    >>> mb = matching_blocks(editops(a,b), a, b)
+    >>> ''.join([a[x[0]:x[0]+x[2]] for x in mb])
+    'ees'
+    >>> ''.join([b[x[1]:x[1]+x[2]] for x in mb])
+    'ees'
+    """
+    len1 = source_string if isinstance(source_string, int) else len(source_string)
+    len2 = destination_string if isinstance(destination_string, int) else len(destination_string)
+
+    if not edit_operations or len(edit_operations[0]) == 3:
+        return _Editops(edit_operations, len1, len2).as_matching_blocks()
+
+    return _Opcodes(edit_operations, len1, len2).as_matching_blocks()
+
+
+def apply_edit(edit_operations, source_string, destination_string):
+    """
+    Apply a sequence of edit operations to a string.
+
+    apply_edit(edit_operations, source_string, destination_string)
+
+    In the case of editops, the sequence can be arbitrary ordered subset
+    of the edit sequence transforming source_string to destination_string.
+
+    Examples
+    --------
+    >>> e = editops('man', 'scotsman')
+    >>> apply_edit(e, 'man', 'scotsman')
+    'scotsman'
+    >>> apply_edit(e[:3], 'man', 'scotsman')
+    'scoman'
+
+    The other form of edit operations, opcodes, is not very suitable for
+    such a tricks, because it has to always span over complete strings,
+    subsets can be created by carefully replacing blocks with 'equal'
+    blocks, or by enlarging 'equal' block at the expense of other blocks
+    and adjusting the other blocks accordingly.
+
+    >>> a, b = 'spam and eggs', 'foo and bar'
+    >>> e = opcodes(a, b)
+    >>> apply_edit(inverse(e), b, a)
+    'spam and eggs'
+    """
+    if len(edit_operations) == 0:
+        return source_string
+
+    len1 = len(source_string)
+    len2 = len(destination_string)
+
+    if len(edit_operations[0]) == 3:
+        return _Editops(edit_operations, len1, len2).apply(source_string, destination_string)
+
+    return _Opcodes(edit_operations, len1, len2).apply(source_string, destination_string)
+
+
+def subtract_edit(edit_operations, subsequence):
+    """
+    Subtract an edit subsequence from a sequence.
+
+    subtract_edit(edit_operations, subsequence)
+
+    The result is equivalent to
+    editops(apply_edit(subsequence, s1, s2), s2), except that is
+    constructed directly from the edit operations.  That is, if you apply
+    it to the result of subsequence application, you get the same final
+    string as from application complete edit_operations.  It may be not
+    identical, though (in amibuous cases, like insertion of a character
+    next to the same character).
+
+    The subtracted subsequence must be an ordered subset of
+    edit_operations.
+
+    Note this function does not accept difflib-style opcodes as no one in
+    his right mind wants to create subsequences from them.
+
+    Examples
+    --------
+    >>> e = editops('man', 'scotsman')
+    >>> e1 = e[:3]
+    >>> bastard = apply_edit(e1, 'man', 'scotsman')
+    >>> bastard
+    'scoman'
+    >>> apply_edit(subtract_edit(e, e1), bastard, 'scotsman')
+    'scotsman'
+    """
+    str_len = 2**32
+    return (
+        _Editops(edit_operations, str_len, str_len)
+        .remove_subsequence(_Editops(subsequence, str_len, str_len))
+        .as_list()
+    )
+
+
+def inverse(edit_operations):
+    """
+    Invert the sense of an edit operation sequence.
+
+    In other words, it returns a list of edit operations transforming the
+    second (destination) string to the first (source).  It can be used
+    with both editops and opcodes.
+
+    Parameters
+    ----------
+    edit_operations : list[]
+        edit operations to invert
+
+    Returns
+    -------
+    edit_operations : list[]
+        inverted edit operations
+
+    Examples
+    --------
+    >>> editops('spam', 'park')
+    [('delete', 0, 0), ('insert', 3, 2), ('replace', 3, 3)]
+    >>> inverse(editops('spam', 'park'))
+    [('insert', 0, 0), ('delete', 2, 3), ('replace', 3, 3)]
+    """
+    if len(edit_operations) == 0:
+        return []
+
+    if len(edit_operations[0]) == 3:
+        len1 = edit_operations[-1][1] + 1
+        len2 = edit_operations[-1][2] + 1
+        return _Editops(edit_operations, len1, len2).inverse().as_list()
+
+    len1 = edit_operations[-1][2]
+    len2 = edit_operations[-1][4]
+
+    return _Opcodes(edit_operations, len1, len2).inverse().as_list()

py311/lib/python3.11/site-packages/Levenshtein/__init__.pyi

@@ -0,0 +1,87 @@
+from __future__ import annotations
+
+from collections.abc import Callable, Hashable, Sequence
+from typing import overload
+
+__author__: str
+__license__: str
+__version__: str
+
+_EditopsList = list[tuple[str, int, int]]
+_OpcodesList = list[tuple[str, int, int, int, int]]
+_MatchingBlocks = list[tuple[int, int, int]]
+_AnyEditops = _EditopsList | _OpcodesList
+
+def inverse(edit_operations: list) -> list: ...
+@overload
+def editops(s1: Sequence[Hashable], s2: Sequence[Hashable]) -> _EditopsList: ...
+@overload
+def editops(
+    ops: _AnyEditops,
+    s1: Sequence[Hashable] | int,
+    s2: Sequence[Hashable] | int,
+) -> _EditopsList: ...
+@overload
+def opcodes(s1: Sequence[Hashable], s2: Sequence[Hashable]) -> _OpcodesList: ...
+@overload
+def opcodes(
+    ops: _AnyEditops,
+    s1: Sequence[Hashable] | int,
+    s2: Sequence[Hashable] | int,
+) -> _OpcodesList: ...
+def matching_blocks(
+    edit_operations: _AnyEditops,
+    source_string: Sequence[Hashable] | int,
+    destination_string: Sequence[Hashable] | int,
+) -> _MatchingBlocks: ...
+def subtract_edit(edit_operations: _EditopsList, subsequence: _EditopsList) -> _EditopsList: ...
+def apply_edit(edit_operations: _AnyEditops, source_string: str, destination_string: str) -> str: ...
+def median(strlist: list[str | bytes], wlist: list[float] | None = None) -> str: ...
+def quickmedian(strlist: list[str | bytes], wlist: list[float] | None = None) -> str: ...
+def median_improve(
+    string: str | bytes,
+    strlist: list[str | bytes],
+    wlist: list[float] | None = None,
+) -> str: ...
+def setmedian(strlist: list[str | bytes], wlist: list[float] | None = None) -> str: ...
+def setratio(strlist1: list[str | bytes], strlist2: list[str | bytes]) -> float: ...
+def seqratio(strlist1: list[str | bytes], strlist2: list[str | bytes]) -> float: ...
+def distance(
+    s1: Sequence[Hashable],
+    s2: Sequence[Hashable],
+    *,
+    weights: tuple[int, int, int] | None = (1, 1, 1),
+    processor: Callable[..., Sequence[Hashable]] | None = None,
+    score_cutoff: float | None = None,
+    score_hint: float | None = None,
+) -> int: ...
+def ratio(
+    s1: Sequence[Hashable],
+    s2: Sequence[Hashable],
+    *,
+    processor: Callable[..., Sequence[Hashable]] | None = None,
+    score_cutoff: float | None = None,
+) -> float: ...
+def hamming(
+    s1: Sequence[Hashable],
+    s2: Sequence[Hashable],
+    *,
+    pad: bool = True,
+    processor: Callable[..., Sequence[Hashable]] | None = None,
+    score_cutoff: float | None = None,
+) -> int: ...
+def jaro(
+    s1: Sequence[Hashable],
+    s2: Sequence[Hashable],
+    *,
+    processor: Callable[..., Sequence[Hashable]] | None = None,
+    score_cutoff: float | None = None,
+) -> float: ...
+def jaro_winkler(
+    s1: Sequence[Hashable],
+    s2: Sequence[Hashable],
+    *,
+    prefix_weight: float | None = 0.1,
+    processor: Callable[..., Sequence[Hashable]] | None = None,
+    score_cutoff: float | None = None,
+) -> float: ...

py311/lib/python3.11/site-packages/aiohappyeyeballs-2.6.1.dist-info/INSTALLER

@@ -0,0 +1 @@
+uv

py311/lib/python3.11/site-packages/aiohappyeyeballs-2.6.1.dist-info/LICENSE

@@ -0,0 +1,279 @@
+A. HISTORY OF THE SOFTWARE
+==========================
+
+Python was created in the early 1990s by Guido van Rossum at Stichting
+Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands
+as a successor of a language called ABC.  Guido remains Python's
+principal author, although it includes many contributions from others.
+
+In 1995, Guido continued his work on Python at the Corporation for
+National Research Initiatives (CNRI, see https://www.cnri.reston.va.us)
+in Reston, Virginia where he released several versions of the
+software.
+
+In May 2000, Guido and the Python core development team moved to
+BeOpen.com to form the BeOpen PythonLabs team.  In October of the same
+year, the PythonLabs team moved to Digital Creations, which became
+Zope Corporation.  In 2001, the Python Software Foundation (PSF, see
+https://www.python.org/psf/) was formed, a non-profit organization
+created specifically to own Python-related Intellectual Property.
+Zope Corporation was a sponsoring member of the PSF.
+
+All Python releases are Open Source (see https://opensource.org for
+the Open Source Definition).  Historically, most, but not all, Python
+releases have also been GPL-compatible; the table below summarizes
+the various releases.
+
+    Release         Derived     Year        Owner       GPL-
+                    from                                compatible? (1)
+
+    0.9.0 thru 1.2              1991-1995   CWI         yes
+    1.3 thru 1.5.2  1.2         1995-1999   CNRI        yes
+    1.6             1.5.2       2000        CNRI        no
+    2.0             1.6         2000        BeOpen.com  no
+    1.6.1           1.6         2001        CNRI        yes (2)
+    2.1             2.0+1.6.1   2001        PSF         no
+    2.0.1           2.0+1.6.1   2001        PSF         yes
+    2.1.1           2.1+2.0.1   2001        PSF         yes
+    2.1.2           2.1.1       2002        PSF         yes
+    2.1.3           2.1.2       2002        PSF         yes
+    2.2 and above   2.1.1       2001-now    PSF         yes
+
+Footnotes:
+
+(1) GPL-compatible doesn't mean that we're distributing Python under
+    the GPL.  All Python licenses, unlike the GPL, let you distribute
+    a modified version without making your changes open source.  The
+    GPL-compatible licenses make it possible to combine Python with
+    other software that is released under the GPL; the others don't.
+
+(2) According to Richard Stallman, 1.6.1 is not GPL-compatible,
+    because its license has a choice of law clause.  According to
+    CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1
+    is "not incompatible" with the GPL.
+
+Thanks to the many outside volunteers who have worked under Guido's
+direction to make these releases possible.
+
+
+B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON
+===============================================================
+
+Python software and documentation are licensed under the
+Python Software Foundation License Version 2.
+
+Starting with Python 3.8.6, examples, recipes, and other code in
+the documentation are dual licensed under the PSF License Version 2
+and the Zero-Clause BSD license.
+
+Some software incorporated into Python is under different licenses.
+The licenses are listed with code falling under that license.
+
+
+PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2
+--------------------------------------------
+
+1. This LICENSE AGREEMENT is between the Python Software Foundation
+("PSF"), and the Individual or Organization ("Licensee") accessing and
+otherwise using this software ("Python") in source or binary form and
+its associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, PSF hereby
+grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce,
+analyze, test, perform and/or display publicly, prepare derivative works,
+distribute, and otherwise use Python alone or in any derivative version,
+provided, however, that PSF's License Agreement and PSF's notice of copyright,
+i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,
+2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation;
+All Rights Reserved" are retained in Python alone or in any derivative version
+prepared by Licensee.
+
+3. In the event Licensee prepares a derivative work that is based on
+or incorporates Python or any part thereof, and wants to make
+the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to Python.
+
+4. PSF is making Python available to Licensee on an "AS IS"
+basis.  PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON,
+OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. Nothing in this License Agreement shall be deemed to create any
+relationship of agency, partnership, or joint venture between PSF and
+Licensee.  This License Agreement does not grant permission to use PSF
+trademarks or trade name in a trademark sense to endorse or promote
+products or services of Licensee, or any third party.
+
+8. By copying, installing or otherwise using Python, Licensee
+agrees to be bound by the terms and conditions of this License
+Agreement.
+
+
+BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0
+-------------------------------------------
+
+BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1
+
+1. This LICENSE AGREEMENT is between BeOpen.com ("BeOpen"), having an
+office at 160 Saratoga Avenue, Santa Clara, CA 95051, and the
+Individual or Organization ("Licensee") accessing and otherwise using
+this software in source or binary form and its associated
+documentation ("the Software").
+
+2. Subject to the terms and conditions of this BeOpen Python License
+Agreement, BeOpen hereby grants Licensee a non-exclusive,
+royalty-free, world-wide license to reproduce, analyze, test, perform
+and/or display publicly, prepare derivative works, distribute, and
+otherwise use the Software alone or in any derivative version,
+provided, however, that the BeOpen Python License is retained in the
+Software, alone or in any derivative version prepared by Licensee.
+
+3. BeOpen is making the Software available to Licensee on an "AS IS"
+basis.  BEOPEN MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, BEOPEN MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+4. BEOPEN SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF THE
+SOFTWARE FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS
+AS A RESULT OF USING, MODIFYING OR DISTRIBUTING THE SOFTWARE, OR ANY
+DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+5. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+6. This License Agreement shall be governed by and interpreted in all
+respects by the law of the State of California, excluding conflict of
+law provisions.  Nothing in this License Agreement shall be deemed to
+create any relationship of agency, partnership, or joint venture
+between BeOpen and Licensee.  This License Agreement does not grant
+permission to use BeOpen trademarks or trade names in a trademark
+sense to endorse or promote products or services of Licensee, or any
+third party.  As an exception, the "BeOpen Python" logos available at
+http://www.pythonlabs.com/logos.html may be used according to the
+permissions granted on that web page.
+
+7. By copying, installing or otherwise using the software, Licensee
+agrees to be bound by the terms and conditions of this License
+Agreement.
+
+
+CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1
+---------------------------------------
+
+1. This LICENSE AGREEMENT is between the Corporation for National
+Research Initiatives, having an office at 1895 Preston White Drive,
+Reston, VA 20191 ("CNRI"), and the Individual or Organization
+("Licensee") accessing and otherwise using Python 1.6.1 software in
+source or binary form and its associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, CNRI
+hereby grants Licensee a nonexclusive, royalty-free, world-wide
+license to reproduce, analyze, test, perform and/or display publicly,
+prepare derivative works, distribute, and otherwise use Python 1.6.1
+alone or in any derivative version, provided, however, that CNRI's
+License Agreement and CNRI's notice of copyright, i.e., "Copyright (c)
+1995-2001 Corporation for National Research Initiatives; All Rights
+Reserved" are retained in Python 1.6.1 alone or in any derivative
+version prepared by Licensee.  Alternately, in lieu of CNRI's License
+Agreement, Licensee may substitute the following text (omitting the
+quotes): "Python 1.6.1 is made available subject to the terms and
+conditions in CNRI's License Agreement.  This Agreement together with
+Python 1.6.1 may be located on the internet using the following
+unique, persistent identifier (known as a handle): 1895.22/1013.  This
+Agreement may also be obtained from a proxy server on the internet
+using the following URL: http://hdl.handle.net/1895.22/1013".
+
+3. In the event Licensee prepares a derivative work that is based on
+or incorporates Python 1.6.1 or any part thereof, and wants to make
+the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to Python 1.6.1.
+
+4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS"
+basis.  CNRI MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, CNRI MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 1.6.1 WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. CNRI SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 1.6.1,
+OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. This License Agreement shall be governed by the federal
+intellectual property law of the United States, including without
+limitation the federal copyright law, and, to the extent such
+U.S. federal law does not apply, by the law of the Commonwealth of
+Virginia, excluding Virginia's conflict of law provisions.
+Notwithstanding the foregoing, with regard to derivative works based
+on Python 1.6.1 that incorporate non-separable material that was
+previously distributed under the GNU General Public License (GPL), the
+law of the Commonwealth of Virginia shall govern this License
+Agreement only as to issues arising under or with respect to
+Paragraphs 4, 5, and 7 of this License Agreement.  Nothing in this
+License Agreement shall be deemed to create any relationship of
+agency, partnership, or joint venture between CNRI and Licensee.  This
+License Agreement does not grant permission to use CNRI trademarks or
+trade name in a trademark sense to endorse or promote products or
+services of Licensee, or any third party.
+
+8. By clicking on the "ACCEPT" button where indicated, or by copying,
+installing or otherwise using Python 1.6.1, Licensee agrees to be
+bound by the terms and conditions of this License Agreement.
+
+        ACCEPT
+
+
+CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2
+--------------------------------------------------
+
+Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam,
+The Netherlands.  All rights reserved.
+
+Permission to use, copy, modify, and distribute this software and its
+documentation for any purpose and without fee is hereby granted,
+provided that the above copyright notice appear in all copies and that
+both that copyright notice and this permission notice appear in
+supporting documentation, and that the name of Stichting Mathematisch
+Centrum or CWI not be used in advertising or publicity pertaining to
+distribution of the software without specific, written prior
+permission.
+
+STICHTING MATHEMATISCH CENTRUM DISCLAIMS ALL WARRANTIES WITH REGARD TO
+THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
+FITNESS, IN NO EVENT SHALL STICHTING MATHEMATISCH CENTRUM BE LIABLE
+FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT
+OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
+
+ZERO-CLAUSE BSD LICENSE FOR CODE IN THE PYTHON DOCUMENTATION
+----------------------------------------------------------------------
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
+REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
+AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
+INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
+OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+PERFORMANCE OF THIS SOFTWARE.

py311/lib/python3.11/site-packages/aiohappyeyeballs-2.6.1.dist-info/METADATA

@@ -0,0 +1,123 @@
+Metadata-Version: 2.3
+Name: aiohappyeyeballs
+Version: 2.6.1
+Summary: Happy Eyeballs for asyncio
+License: PSF-2.0
+Author: J. Nick Koston
+Author-email: nick@koston.org
+Requires-Python: >=3.9
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Natural Language :: English
+Classifier: Operating System :: OS Independent
+Classifier: Topic :: Software Development :: Libraries
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Classifier: License :: OSI Approved :: Python Software Foundation License
+Project-URL: Bug Tracker, https://github.com/aio-libs/aiohappyeyeballs/issues
+Project-URL: Changelog, https://github.com/aio-libs/aiohappyeyeballs/blob/main/CHANGELOG.md
+Project-URL: Documentation, https://aiohappyeyeballs.readthedocs.io
+Project-URL: Repository, https://github.com/aio-libs/aiohappyeyeballs
+Description-Content-Type: text/markdown
+
+# aiohappyeyeballs
+
+<p align="center">
+  <a href="https://github.com/aio-libs/aiohappyeyeballs/actions/workflows/ci.yml?query=branch%3Amain">
+    <img src="https://img.shields.io/github/actions/workflow/status/aio-libs/aiohappyeyeballs/ci-cd.yml?branch=main&label=CI&logo=github&style=flat-square" alt="CI Status" >
+  </a>
+  <a href="https://aiohappyeyeballs.readthedocs.io">
+    <img src="https://img.shields.io/readthedocs/aiohappyeyeballs.svg?logo=read-the-docs&logoColor=fff&style=flat-square" alt="Documentation Status">
+  </a>
+  <a href="https://codecov.io/gh/aio-libs/aiohappyeyeballs">
+    <img src="https://img.shields.io/codecov/c/github/aio-libs/aiohappyeyeballs.svg?logo=codecov&logoColor=fff&style=flat-square" alt="Test coverage percentage">
+  </a>
+</p>
+<p align="center">
+  <a href="https://python-poetry.org/">
+    <img src="https://img.shields.io/badge/packaging-poetry-299bd7?style=flat-square&logo=data:image/png;base64,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" alt="Poetry">
+  </a>
+  <a href="https://github.com/astral-sh/ruff">
+    <img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json" alt="Ruff">
+  </a>
+  <a href="https://github.com/pre-commit/pre-commit">
+    <img src="https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white&style=flat-square" alt="pre-commit">
+  </a>
+</p>
+<p align="center">
+  <a href="https://pypi.org/project/aiohappyeyeballs/">
+    <img src="https://img.shields.io/pypi/v/aiohappyeyeballs.svg?logo=python&logoColor=fff&style=flat-square" alt="PyPI Version">
+  </a>
+  <img src="https://img.shields.io/pypi/pyversions/aiohappyeyeballs.svg?style=flat-square&logo=python&amp;logoColor=fff" alt="Supported Python versions">
+  <img src="https://img.shields.io/pypi/l/aiohappyeyeballs.svg?style=flat-square" alt="License">
+</p>
+
+---
+
+**Documentation**: <a href="https://aiohappyeyeballs.readthedocs.io" target="_blank">https://aiohappyeyeballs.readthedocs.io </a>
+
+**Source Code**: <a href="https://github.com/aio-libs/aiohappyeyeballs" target="_blank">https://github.com/aio-libs/aiohappyeyeballs </a>
+
+---
+
+[Happy Eyeballs](https://en.wikipedia.org/wiki/Happy_Eyeballs)
+([RFC 8305](https://www.rfc-editor.org/rfc/rfc8305.html))
+
+## Use case
+
+This library exists to allow connecting with
+[Happy Eyeballs](https://en.wikipedia.org/wiki/Happy_Eyeballs)
+([RFC 8305](https://www.rfc-editor.org/rfc/rfc8305.html))
+when you
+already have a list of addrinfo and not a DNS name.
+
+The stdlib version of `loop.create_connection()`
+will only work when you pass in an unresolved name which
+is not a good fit when using DNS caching or resolving
+names via another method such as `zeroconf`.
+
+## Installation
+
+Install this via pip (or your favourite package manager):
+
+`pip install aiohappyeyeballs`
+
+## License
+
+[aiohappyeyeballs is licensed under the same terms as cpython itself.](https://github.com/python/cpython/blob/main/LICENSE)
+
+## Example usage
+
+```python
+
+addr_infos = await loop.getaddrinfo("example.org", 80)
+
+socket = await start_connection(addr_infos)
+socket = await start_connection(addr_infos, local_addr_infos=local_addr_infos, happy_eyeballs_delay=0.2)
+
+transport, protocol = await loop.create_connection(
+    MyProtocol, sock=socket, ...)
+
+# Remove the first address for each family from addr_info
+pop_addr_infos_interleave(addr_info, 1)
+
+# Remove all matching address from addr_info
+remove_addr_infos(addr_info, "dead::beef::")
+
+# Convert a local_addr to local_addr_infos
+local_addr_infos = addr_to_addr_infos(("127.0.0.1",0))
+```
+
+## Credits
+
+This package contains code from cpython and is licensed under the same terms as cpython itself.
+
+This package was created with
+[Copier](https://copier.readthedocs.io/) and the
+[browniebroke/pypackage-template](https://github.com/browniebroke/pypackage-template)
+project template.
+

py311/lib/python3.11/site-packages/aiohappyeyeballs-2.6.1.dist-info/RECORD

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+aiohappyeyeballs-2.6.1.dist-info/RECORD,,
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+aiohappyeyeballs-2.6.1.dist-info/WHEEL,sha256=XbeZDeTWKc1w7CSIyre5aMDU_-PohRwTQceYnisIYYY,88
+aiohappyeyeballs/__init__.py,sha256=x7kktHEtaD9quBcWDJPuLeKyjuVAI-Jj14S9B_5hcTs,361
+aiohappyeyeballs/_staggered.py,sha256=edfVowFx-P-ywJjIEF3MdPtEMVODujV6CeMYr65otac,6900
+aiohappyeyeballs/impl.py,sha256=Dlcm2mTJ28ucrGnxkb_fo9CZzLAkOOBizOt7dreBbXE,9681
+aiohappyeyeballs/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
+aiohappyeyeballs/types.py,sha256=YZJIAnyoV4Dz0WFtlaf_OyE4EW7Xus1z7aIfNI6tDDQ,425
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py311/lib/python3.11/site-packages/aiohappyeyeballs-2.6.1.dist-info/WHEEL

@@ -0,0 +1,4 @@
+Wheel-Version: 1.0
+Generator: poetry-core 2.1.1
+Root-Is-Purelib: true
+Tag: py3-none-any

py311/lib/python3.11/site-packages/attr/__init__.py

@@ -0,0 +1,104 @@
+# SPDX-License-Identifier: MIT
+
+"""
+Classes Without Boilerplate
+"""
+
+from functools import partial
+from typing import Callable, Literal, Protocol
+
+from . import converters, exceptions, filters, setters, validators
+from ._cmp import cmp_using
+from ._config import get_run_validators, set_run_validators
+from ._funcs import asdict, assoc, astuple, has, resolve_types
+from ._make import (
+    NOTHING,
+    Attribute,
+    Converter,
+    Factory,
+    _Nothing,
+    attrib,
+    attrs,
+    evolve,
+    fields,
+    fields_dict,
+    make_class,
+    validate,
+)
+from ._next_gen import define, field, frozen, mutable
+from ._version_info import VersionInfo
+
+
+s = attributes = attrs
+ib = attr = attrib
+dataclass = partial(attrs, auto_attribs=True)  # happy Easter ;)
+
+
+class AttrsInstance(Protocol):
+    pass
+
+
+NothingType = Literal[_Nothing.NOTHING]
+
+__all__ = [
+    "NOTHING",
+    "Attribute",
+    "AttrsInstance",
+    "Converter",
+    "Factory",
+    "NothingType",
+    "asdict",
+    "assoc",
+    "astuple",
+    "attr",
+    "attrib",
+    "attributes",
+    "attrs",
+    "cmp_using",
+    "converters",
+    "define",
+    "evolve",
+    "exceptions",
+    "field",
+    "fields",
+    "fields_dict",
+    "filters",
+    "frozen",
+    "get_run_validators",
+    "has",
+    "ib",
+    "make_class",
+    "mutable",
+    "resolve_types",
+    "s",
+    "set_run_validators",
+    "setters",
+    "validate",
+    "validators",
+]
+
+
+def _make_getattr(mod_name: str) -> Callable:
+    """
+    Create a metadata proxy for packaging information that uses *mod_name* in
+    its warnings and errors.
+    """
+
+    def __getattr__(name: str) -> str:
+        if name not in ("__version__", "__version_info__"):
+            msg = f"module {mod_name} has no attribute {name}"
+            raise AttributeError(msg)
+
+        from importlib.metadata import metadata
+
+        meta = metadata("attrs")
+
+        if name == "__version_info__":
+            return VersionInfo._from_version_string(meta["version"])
+
+        return meta["version"]
+
+    return __getattr__
+
+
+__getattr__ = _make_getattr(__name__)

py311/lib/python3.11/site-packages/attr/__init__.pyi

@@ -0,0 +1,389 @@
+import enum
+import sys
+
+from typing import (
+    Any,
+    Callable,
+    Generic,
+    Literal,
+    Mapping,
+    Protocol,
+    Sequence,
+    TypeVar,
+    overload,
+)
+
+# `import X as X` is required to make these public
+from . import converters as converters
+from . import exceptions as exceptions
+from . import filters as filters
+from . import setters as setters
+from . import validators as validators
+from ._cmp import cmp_using as cmp_using
+from ._typing_compat import AttrsInstance_
+from ._version_info import VersionInfo
+from attrs import (
+    define as define,
+    field as field,
+    mutable as mutable,
+    frozen as frozen,
+    _EqOrderType,
+    _ValidatorType,
+    _ConverterType,
+    _ReprArgType,
+    _OnSetAttrType,
+    _OnSetAttrArgType,
+    _FieldTransformer,
+    _ValidatorArgType,
+)
+
+if sys.version_info >= (3, 10):
+    from typing import TypeGuard, TypeAlias
+else:
+    from typing_extensions import TypeGuard, TypeAlias
+
+if sys.version_info >= (3, 11):
+    from typing import dataclass_transform
+else:
+    from typing_extensions import dataclass_transform
+
+__version__: str
+__version_info__: VersionInfo
+__title__: str
+__description__: str
+__url__: str
+__uri__: str
+__author__: str
+__email__: str
+__license__: str
+__copyright__: str
+
+_T = TypeVar("_T")
+_C = TypeVar("_C", bound=type)
+
+_FilterType = Callable[["Attribute[_T]", _T], bool]
+
+# We subclass this here to keep the protocol's qualified name clean.
+class AttrsInstance(AttrsInstance_, Protocol):
+    pass
+
+_A = TypeVar("_A", bound=type[AttrsInstance])
+
+class _Nothing(enum.Enum):
+    NOTHING = enum.auto()
+
+NOTHING = _Nothing.NOTHING
+NothingType: TypeAlias = Literal[_Nothing.NOTHING]
+
+# NOTE: Factory lies about its return type to make this possible:
+# `x: List[int] # = Factory(list)`
+# Work around mypy issue #4554 in the common case by using an overload.
+
+@overload
+def Factory(factory: Callable[[], _T]) -> _T: ...
+@overload
+def Factory(
+    factory: Callable[[Any], _T],
+    takes_self: Literal[True],
+) -> _T: ...
+@overload
+def Factory(
+    factory: Callable[[], _T],
+    takes_self: Literal[False],
+) -> _T: ...
+
+In = TypeVar("In")
+Out = TypeVar("Out")
+
+class Converter(Generic[In, Out]):
+    @overload
+    def __init__(self, converter: Callable[[In], Out]) -> None: ...
+    @overload
+    def __init__(
+        self,
+        converter: Callable[[In, AttrsInstance, Attribute], Out],
+        *,
+        takes_self: Literal[True],
+        takes_field: Literal[True],
+    ) -> None: ...
+    @overload
+    def __init__(
+        self,
+        converter: Callable[[In, Attribute], Out],
+        *,
+        takes_field: Literal[True],
+    ) -> None: ...
+    @overload
+    def __init__(
+        self,
+        converter: Callable[[In, AttrsInstance], Out],
+        *,
+        takes_self: Literal[True],
+    ) -> None: ...
+
+class Attribute(Generic[_T]):
+    name: str
+    default: _T | None
+    validator: _ValidatorType[_T] | None
+    repr: _ReprArgType
+    cmp: _EqOrderType
+    eq: _EqOrderType
+    order: _EqOrderType
+    hash: bool | None
+    init: bool
+    converter: Converter | None
+    metadata: dict[Any, Any]
+    type: type[_T] | None
+    kw_only: bool
+    on_setattr: _OnSetAttrType
+    alias: str | None
+
+    def evolve(self, **changes: Any) -> "Attribute[Any]": ...
+
+# NOTE: We had several choices for the annotation to use for type arg:
+# 1) Type[_T]
+#   - Pros: Handles simple cases correctly
+#   - Cons: Might produce less informative errors in the case of conflicting
+#     TypeVars e.g. `attr.ib(default='bad', type=int)`
+# 2) Callable[..., _T]
+#   - Pros: Better error messages than #1 for conflicting TypeVars
+#   - Cons: Terrible error messages for validator checks.
+#   e.g. attr.ib(type=int, validator=validate_str)
+#        -> error: Cannot infer function type argument
+# 3) type (and do all of the work in the mypy plugin)
+#   - Pros: Simple here, and we could customize the plugin with our own errors.
+#   - Cons: Would need to write mypy plugin code to handle all the cases.
+# We chose option #1.
+
+# `attr` lies about its return type to make the following possible:
+#     attr()    -> Any
+#     attr(8)   -> int
+#     attr(validator=<some callable>)  -> Whatever the callable expects.
+# This makes this type of assignments possible:
+#     x: int = attr(8)
+#
+# This form catches explicit None or no default but with no other arguments
+# returns Any.
+@overload
+def attrib(
+    default: None = ...,
+    validator: None = ...,
+    repr: _ReprArgType = ...,
+    cmp: _EqOrderType | None = ...,
+    hash: bool | None = ...,
+    init: bool = ...,
+    metadata: Mapping[Any, Any] | None = ...,
+    type: None = ...,
+    converter: None = ...,
+    factory: None = ...,
+    kw_only: bool | None = ...,
+    eq: _EqOrderType | None = ...,
+    order: _EqOrderType | None = ...,
+    on_setattr: _OnSetAttrArgType | None = ...,
+    alias: str | None = ...,
+) -> Any: ...
+
+# This form catches an explicit None or no default and infers the type from the
+# other arguments.
+@overload
+def attrib(
+    default: None = ...,
+    validator: _ValidatorArgType[_T] | None = ...,
+    repr: _ReprArgType = ...,
+    cmp: _EqOrderType | None = ...,
+    hash: bool | None = ...,
+    init: bool = ...,
+    metadata: Mapping[Any, Any] | None = ...,
+    type: type[_T] | None = ...,
+    converter: _ConverterType
+    | list[_ConverterType]
+    | tuple[_ConverterType]
+    | None = ...,
+    factory: Callable[[], _T] | None = ...,
+    kw_only: bool | None = ...,
+    eq: _EqOrderType | None = ...,
+    order: _EqOrderType | None = ...,
+    on_setattr: _OnSetAttrArgType | None = ...,
+    alias: str | None = ...,
+) -> _T: ...
+
+# This form catches an explicit default argument.
+@overload
+def attrib(
+    default: _T,
+    validator: _ValidatorArgType[_T] | None = ...,
+    repr: _ReprArgType = ...,
+    cmp: _EqOrderType | None = ...,
+    hash: bool | None = ...,
+    init: bool = ...,
+    metadata: Mapping[Any, Any] | None = ...,
+    type: type[_T] | None = ...,
+    converter: _ConverterType
+    | list[_ConverterType]
+    | tuple[_ConverterType]
+    | None = ...,
+    factory: Callable[[], _T] | None = ...,
+    kw_only: bool | None = ...,
+    eq: _EqOrderType | None = ...,
+    order: _EqOrderType | None = ...,
+    on_setattr: _OnSetAttrArgType | None = ...,
+    alias: str | None = ...,
+) -> _T: ...
+
+# This form covers type=non-Type: e.g. forward references (str), Any
+@overload
+def attrib(
+    default: _T | None = ...,
+    validator: _ValidatorArgType[_T] | None = ...,
+    repr: _ReprArgType = ...,
+    cmp: _EqOrderType | None = ...,
+    hash: bool | None = ...,
+    init: bool = ...,
+    metadata: Mapping[Any, Any] | None = ...,
+    type: object = ...,
+    converter: _ConverterType
+    | list[_ConverterType]
+    | tuple[_ConverterType]
+    | None = ...,
+    factory: Callable[[], _T] | None = ...,
+    kw_only: bool | None = ...,
+    eq: _EqOrderType | None = ...,
+    order: _EqOrderType | None = ...,
+    on_setattr: _OnSetAttrArgType | None = ...,
+    alias: str | None = ...,
+) -> Any: ...
+@overload
+@dataclass_transform(order_default=True, field_specifiers=(attrib, field))
+def attrs(
+    maybe_cls: _C,
+    these: dict[str, Any] | None = ...,
+    repr_ns: str | None = ...,
+    repr: bool = ...,
+    cmp: _EqOrderType | None = ...,
+    hash: bool | None = ...,
+    init: bool = ...,
+    slots: bool = ...,
+    frozen: bool = ...,
+    weakref_slot: bool = ...,
+    str: bool = ...,
+    auto_attribs: bool = ...,
+    kw_only: bool = ...,
+    cache_hash: bool = ...,
+    auto_exc: bool = ...,
+    eq: _EqOrderType | None = ...,
+    order: _EqOrderType | None = ...,
+    auto_detect: bool = ...,
+    collect_by_mro: bool = ...,
+    getstate_setstate: bool | None = ...,
+    on_setattr: _OnSetAttrArgType | None = ...,
+    field_transformer: _FieldTransformer | None = ...,
+    match_args: bool = ...,
+    unsafe_hash: bool | None = ...,
+) -> _C: ...
+@overload
+@dataclass_transform(order_default=True, field_specifiers=(attrib, field))
+def attrs(
+    maybe_cls: None = ...,
+    these: dict[str, Any] | None = ...,
+    repr_ns: str | None = ...,
+    repr: bool = ...,
+    cmp: _EqOrderType | None = ...,
+    hash: bool | None = ...,
+    init: bool = ...,
+    slots: bool = ...,
+    frozen: bool = ...,
+    weakref_slot: bool = ...,
+    str: bool = ...,
+    auto_attribs: bool = ...,
+    kw_only: bool = ...,
+    cache_hash: bool = ...,
+    auto_exc: bool = ...,
+    eq: _EqOrderType | None = ...,
+    order: _EqOrderType | None = ...,
+    auto_detect: bool = ...,
+    collect_by_mro: bool = ...,
+    getstate_setstate: bool | None = ...,
+    on_setattr: _OnSetAttrArgType | None = ...,
+    field_transformer: _FieldTransformer | None = ...,
+    match_args: bool = ...,
+    unsafe_hash: bool | None = ...,
+) -> Callable[[_C], _C]: ...
+def fields(cls: type[AttrsInstance]) -> Any: ...
+def fields_dict(cls: type[AttrsInstance]) -> dict[str, Attribute[Any]]: ...
+def validate(inst: AttrsInstance) -> None: ...
+def resolve_types(
+    cls: _A,
+    globalns: dict[str, Any] | None = ...,
+    localns: dict[str, Any] | None = ...,
+    attribs: list[Attribute[Any]] | None = ...,
+    include_extras: bool = ...,
+) -> _A: ...
+
+# TODO: add support for returning a proper attrs class from the mypy plugin
+# we use Any instead of _CountingAttr so that e.g. `make_class('Foo',
+# [attr.ib()])` is valid
+def make_class(
+    name: str,
+    attrs: list[str] | tuple[str, ...] | dict[str, Any],
+    bases: tuple[type, ...] = ...,
+    class_body: dict[str, Any] | None = ...,
+    repr_ns: str | None = ...,
+    repr: bool = ...,
+    cmp: _EqOrderType | None = ...,
+    hash: bool | None = ...,
+    init: bool = ...,
+    slots: bool = ...,
+    frozen: bool = ...,
+    weakref_slot: bool = ...,
+    str: bool = ...,
+    auto_attribs: bool = ...,
+    kw_only: bool = ...,
+    cache_hash: bool = ...,
+    auto_exc: bool = ...,
+    eq: _EqOrderType | None = ...,
+    order: _EqOrderType | None = ...,
+    collect_by_mro: bool = ...,
+    on_setattr: _OnSetAttrArgType | None = ...,
+    field_transformer: _FieldTransformer | None = ...,
+) -> type: ...
+
+# _funcs --
+
+# TODO: add support for returning TypedDict from the mypy plugin
+# FIXME: asdict/astuple do not honor their factory args. Waiting on one of
+# these:
+# https://github.com/python/mypy/issues/4236
+# https://github.com/python/typing/issues/253
+# XXX: remember to fix attrs.asdict/astuple too!
+def asdict(
+    inst: AttrsInstance,
+    recurse: bool = ...,
+    filter: _FilterType[Any] | None = ...,
+    dict_factory: type[Mapping[Any, Any]] = ...,
+    retain_collection_types: bool = ...,
+    value_serializer: Callable[[type, Attribute[Any], Any], Any] | None = ...,
+    tuple_keys: bool | None = ...,
+) -> dict[str, Any]: ...
+
+# TODO: add support for returning NamedTuple from the mypy plugin
+def astuple(
+    inst: AttrsInstance,
+    recurse: bool = ...,
+    filter: _FilterType[Any] | None = ...,
+    tuple_factory: type[Sequence[Any]] = ...,
+    retain_collection_types: bool = ...,
+) -> tuple[Any, ...]: ...
+def has(cls: type) -> TypeGuard[type[AttrsInstance]]: ...
+def assoc(inst: _T, **changes: Any) -> _T: ...
+def evolve(inst: _T, **changes: Any) -> _T: ...
+
+# _config --
+
+def set_run_validators(run: bool) -> None: ...
+def get_run_validators() -> bool: ...
+
+# aliases --
+
+s = attributes = attrs
+ib = attr = attrib
+dataclass = attrs  # Technically, partial(attrs, auto_attribs=True) ;)

py311/lib/python3.11/site-packages/attr/_cmp.py

@@ -0,0 +1,160 @@
+# SPDX-License-Identifier: MIT
+
+
+import functools
+import types
+
+from ._make import __ne__
+
+
+_operation_names = {"eq": "==", "lt": "<", "le": "<=", "gt": ">", "ge": ">="}
+
+
+def cmp_using(
+    eq=None,
+    lt=None,
+    le=None,
+    gt=None,
+    ge=None,
+    require_same_type=True,
+    class_name="Comparable",
+):
+    """
+    Create a class that can be passed into `attrs.field`'s ``eq``, ``order``,
+    and ``cmp`` arguments to customize field comparison.
+
+    The resulting class will have a full set of ordering methods if at least
+    one of ``{lt, le, gt, ge}`` and ``eq``  are provided.
+
+    Args:
+        eq (typing.Callable | None):
+            Callable used to evaluate equality of two objects.
+
+        lt (typing.Callable | None):
+            Callable used to evaluate whether one object is less than another
+            object.
+
+        le (typing.Callable | None):
+            Callable used to evaluate whether one object is less than or equal
+            to another object.
+
+        gt (typing.Callable | None):
+            Callable used to evaluate whether one object is greater than
+            another object.
+
+        ge (typing.Callable | None):
+            Callable used to evaluate whether one object is greater than or
+            equal to another object.
+
+        require_same_type (bool):
+            When `True`, equality and ordering methods will return
+            `NotImplemented` if objects are not of the same type.
+
+        class_name (str | None): Name of class. Defaults to "Comparable".
+
+    See `comparison` for more details.
+
+    .. versionadded:: 21.1.0
+    """
+
+    body = {
+        "__slots__": ["value"],
+        "__init__": _make_init(),
+        "_requirements": [],
+        "_is_comparable_to": _is_comparable_to,
+    }
+
+    # Add operations.
+    num_order_functions = 0
+    has_eq_function = False
+
+    if eq is not None:
+        has_eq_function = True
+        body["__eq__"] = _make_operator("eq", eq)
+        body["__ne__"] = __ne__
+
+    if lt is not None:
+        num_order_functions += 1
+        body["__lt__"] = _make_operator("lt", lt)
+
+    if le is not None:
+        num_order_functions += 1
+        body["__le__"] = _make_operator("le", le)
+
+    if gt is not None:
+        num_order_functions += 1
+        body["__gt__"] = _make_operator("gt", gt)
+
+    if ge is not None:
+        num_order_functions += 1
+        body["__ge__"] = _make_operator("ge", ge)
+
+    type_ = types.new_class(
+        class_name, (object,), {}, lambda ns: ns.update(body)
+    )
+
+    # Add same type requirement.
+    if require_same_type:
+        type_._requirements.append(_check_same_type)
+
+    # Add total ordering if at least one operation was defined.
+    if 0 < num_order_functions < 4:
+        if not has_eq_function:
+            # functools.total_ordering requires __eq__ to be defined,
+            # so raise early error here to keep a nice stack.
+            msg = "eq must be define is order to complete ordering from lt, le, gt, ge."
+            raise ValueError(msg)
+        type_ = functools.total_ordering(type_)
+
+    return type_
+
+
+def _make_init():
+    """
+    Create __init__ method.
+    """
+
+    def __init__(self, value):
+        """
+        Initialize object with *value*.
+        """
+        self.value = value
+
+    return __init__
+
+
+def _make_operator(name, func):
+    """
+    Create operator method.
+    """
+
+    def method(self, other):
+        if not self._is_comparable_to(other):
+            return NotImplemented
+
+        result = func(self.value, other.value)
+        if result is NotImplemented:
+            return NotImplemented
+
+        return result
+
+    method.__name__ = f"__{name}__"
+    method.__doc__ = (
+        f"Return a {_operation_names[name]} b.  Computed by attrs."
+    )
+
+    return method
+
+
+def _is_comparable_to(self, other):
+    """
+    Check whether `other` is comparable to `self`.
+    """
+    return all(func(self, other) for func in self._requirements)
+
+
+def _check_same_type(self, other):
+    """
+    Return True if *self* and *other* are of the same type, False otherwise.
+    """
+    return other.value.__class__ is self.value.__class__

py311/lib/python3.11/site-packages/attr/_cmp.pyi

@@ -0,0 +1,13 @@
+from typing import Any, Callable
+
+_CompareWithType = Callable[[Any, Any], bool]
+
+def cmp_using(
+    eq: _CompareWithType | None = ...,
+    lt: _CompareWithType | None = ...,
+    le: _CompareWithType | None = ...,
+    gt: _CompareWithType | None = ...,
+    ge: _CompareWithType | None = ...,
+    require_same_type: bool = ...,
+    class_name: str = ...,
+) -> type: ...

py311/lib/python3.11/site-packages/attr/_compat.py

@@ -0,0 +1,99 @@
+# SPDX-License-Identifier: MIT
+
+import inspect
+import platform
+import sys
+import threading
+
+from collections.abc import Mapping, Sequence  # noqa: F401
+from typing import _GenericAlias
+
+
+PYPY = platform.python_implementation() == "PyPy"
+PY_3_10_PLUS = sys.version_info[:2] >= (3, 10)
+PY_3_11_PLUS = sys.version_info[:2] >= (3, 11)
+PY_3_12_PLUS = sys.version_info[:2] >= (3, 12)
+PY_3_13_PLUS = sys.version_info[:2] >= (3, 13)
+PY_3_14_PLUS = sys.version_info[:2] >= (3, 14)
+
+
+if PY_3_14_PLUS:
+    import annotationlib
+
+    # We request forward-ref annotations to not break in the presence of
+    # forward references.
+
+    def _get_annotations(cls):
+        return annotationlib.get_annotations(
+            cls, format=annotationlib.Format.FORWARDREF
+        )
+
+else:
+
+    def _get_annotations(cls):
+        """
+        Get annotations for *cls*.
+        """
+        return cls.__dict__.get("__annotations__", {})
+
+
+class _AnnotationExtractor:
+    """
+    Extract type annotations from a callable, returning None whenever there
+    is none.
+    """
+
+    __slots__ = ["sig"]
+
+    def __init__(self, callable):
+        try:
+            self.sig = inspect.signature(callable)
+        except (ValueError, TypeError):  # inspect failed
+            self.sig = None
+
+    def get_first_param_type(self):
+        """
+        Return the type annotation of the first argument if it's not empty.
+        """
+        if not self.sig:
+            return None
+
+        params = list(self.sig.parameters.values())
+        if params and params[0].annotation is not inspect.Parameter.empty:
+            return params[0].annotation
+
+        return None
+
+    def get_return_type(self):
+        """
+        Return the return type if it's not empty.
+        """
+        if (
+            self.sig
+            and self.sig.return_annotation is not inspect.Signature.empty
+        ):
+            return self.sig.return_annotation
+
+        return None
+
+
+# Thread-local global to track attrs instances which are already being repr'd.
+# This is needed because there is no other (thread-safe) way to pass info
+# about the instances that are already being repr'd through the call stack
+# in order to ensure we don't perform infinite recursion.
+#
+# For instance, if an instance contains a dict which contains that instance,
+# we need to know that we're already repr'ing the outside instance from within
+# the dict's repr() call.
+#
+# This lives here rather than in _make.py so that the functions in _make.py
+# don't have a direct reference to the thread-local in their globals dict.
+# If they have such a reference, it breaks cloudpickle.
+repr_context = threading.local()
+
+
+def get_generic_base(cl):
+    """If this is a generic class (A[str]), return the generic base for it."""
+    if cl.__class__ is _GenericAlias:
+        return cl.__origin__
+    return None

py311/lib/python3.11/site-packages/attr/_config.py

@@ -0,0 +1,31 @@
+# SPDX-License-Identifier: MIT
+
+__all__ = ["get_run_validators", "set_run_validators"]
+
+_run_validators = True
+
+
+def set_run_validators(run):
+    """
+    Set whether or not validators are run.  By default, they are run.
+
+    .. deprecated:: 21.3.0 It will not be removed, but it also will not be
+        moved to new ``attrs`` namespace. Use `attrs.validators.set_disabled()`
+        instead.
+    """
+    if not isinstance(run, bool):
+        msg = "'run' must be bool."
+        raise TypeError(msg)
+    global _run_validators
+    _run_validators = run
+
+
+def get_run_validators():
+    """
+    Return whether or not validators are run.
+
+    .. deprecated:: 21.3.0 It will not be removed, but it also will not be
+        moved to new ``attrs`` namespace. Use `attrs.validators.get_disabled()`
+        instead.
+    """
+    return _run_validators

py311/lib/python3.11/site-packages/attr/_funcs.py

@@ -0,0 +1,497 @@
+# SPDX-License-Identifier: MIT
+
+
+import copy
+
+from ._compat import get_generic_base
+from ._make import _OBJ_SETATTR, NOTHING, fields
+from .exceptions import AttrsAttributeNotFoundError
+
+
+_ATOMIC_TYPES = frozenset(
+    {
+        type(None),
+        bool,
+        int,
+        float,
+        str,
+        complex,
+        bytes,
+        type(...),
+        type,
+        range,
+        property,
+    }
+)
+
+
+def asdict(
+    inst,
+    recurse=True,
+    filter=None,
+    dict_factory=dict,
+    retain_collection_types=False,
+    value_serializer=None,
+):
+    """
+    Return the *attrs* attribute values of *inst* as a dict.
+
+    Optionally recurse into other *attrs*-decorated classes.
+
+    Args:
+        inst: Instance of an *attrs*-decorated class.
+
+        recurse (bool): Recurse into classes that are also *attrs*-decorated.
+
+        filter (~typing.Callable):
+            A callable whose return code determines whether an attribute or
+            element is included (`True`) or dropped (`False`).  Is called with
+            the `attrs.Attribute` as the first argument and the value as the
+            second argument.
+
+        dict_factory (~typing.Callable):
+            A callable to produce dictionaries from.  For example, to produce
+            ordered dictionaries instead of normal Python dictionaries, pass in
+            ``collections.OrderedDict``.
+
+        retain_collection_types (bool):
+            Do not convert to `list` when encountering an attribute whose type
+            is `tuple` or `set`.  Only meaningful if *recurse* is `True`.
+
+        value_serializer (typing.Callable | None):
+            A hook that is called for every attribute or dict key/value.  It
+            receives the current instance, field and value and must return the
+            (updated) value.  The hook is run *after* the optional *filter* has
+            been applied.
+
+    Returns:
+        Return type of *dict_factory*.
+
+    Raises:
+        attrs.exceptions.NotAnAttrsClassError:
+            If *cls* is not an *attrs* class.
+
+    ..  versionadded:: 16.0.0 *dict_factory*
+    ..  versionadded:: 16.1.0 *retain_collection_types*
+    ..  versionadded:: 20.3.0 *value_serializer*
+    ..  versionadded:: 21.3.0
+        If a dict has a collection for a key, it is serialized as a tuple.
+    """
+    attrs = fields(inst.__class__)
+    rv = dict_factory()
+    for a in attrs:
+        v = getattr(inst, a.name)
+        if filter is not None and not filter(a, v):
+            continue
+
+        if value_serializer is not None:
+            v = value_serializer(inst, a, v)
+
+        if recurse is True:
+            value_type = type(v)
+            if value_type in _ATOMIC_TYPES:
+                rv[a.name] = v
+            elif has(value_type):
+                rv[a.name] = asdict(
+                    v,
+                    recurse=True,
+                    filter=filter,
+                    dict_factory=dict_factory,
+                    retain_collection_types=retain_collection_types,
+                    value_serializer=value_serializer,
+                )
+            elif issubclass(value_type, (tuple, list, set, frozenset)):
+                cf = value_type if retain_collection_types is True else list
+                items = [
+                    _asdict_anything(
+                        i,
+                        is_key=False,
+                        filter=filter,
+                        dict_factory=dict_factory,
+                        retain_collection_types=retain_collection_types,
+                        value_serializer=value_serializer,
+                    )
+                    for i in v
+                ]
+                try:
+                    rv[a.name] = cf(items)
+                except TypeError:
+                    if not issubclass(cf, tuple):
+                        raise
+                    # Workaround for TypeError: cf.__new__() missing 1 required
+                    # positional argument (which appears, for a namedturle)
+                    rv[a.name] = cf(*items)
+            elif issubclass(value_type, dict):
+                df = dict_factory
+                rv[a.name] = df(
+                    (
+                        _asdict_anything(
+                            kk,
+                            is_key=True,
+                            filter=filter,
+                            dict_factory=df,
+                            retain_collection_types=retain_collection_types,
+                            value_serializer=value_serializer,
+                        ),
+                        _asdict_anything(
+                            vv,
+                            is_key=False,
+                            filter=filter,
+                            dict_factory=df,
+                            retain_collection_types=retain_collection_types,
+                            value_serializer=value_serializer,
+                        ),
+                    )
+                    for kk, vv in v.items()
+                )
+            else:
+                rv[a.name] = v
+        else:
+            rv[a.name] = v
+    return rv
+
+
+def _asdict_anything(
+    val,
+    is_key,
+    filter,
+    dict_factory,
+    retain_collection_types,
+    value_serializer,
+):
+    """
+    ``asdict`` only works on attrs instances, this works on anything.
+    """
+    val_type = type(val)
+    if val_type in _ATOMIC_TYPES:
+        rv = val
+        if value_serializer is not None:
+            rv = value_serializer(None, None, rv)
+    elif getattr(val_type, "__attrs_attrs__", None) is not None:
+        # Attrs class.
+        rv = asdict(
+            val,
+            recurse=True,
+            filter=filter,
+            dict_factory=dict_factory,
+            retain_collection_types=retain_collection_types,
+            value_serializer=value_serializer,
+        )
+    elif issubclass(val_type, (tuple, list, set, frozenset)):
+        if retain_collection_types is True:
+            cf = val.__class__
+        elif is_key:
+            cf = tuple
+        else:
+            cf = list
+
+        rv = cf(
+            [
+                _asdict_anything(
+                    i,
+                    is_key=False,
+                    filter=filter,
+                    dict_factory=dict_factory,
+                    retain_collection_types=retain_collection_types,
+                    value_serializer=value_serializer,
+                )
+                for i in val
+            ]
+        )
+    elif issubclass(val_type, dict):
+        df = dict_factory
+        rv = df(
+            (
+                _asdict_anything(
+                    kk,
+                    is_key=True,
+                    filter=filter,
+                    dict_factory=df,
+                    retain_collection_types=retain_collection_types,
+                    value_serializer=value_serializer,
+                ),
+                _asdict_anything(
+                    vv,
+                    is_key=False,
+                    filter=filter,
+                    dict_factory=df,
+                    retain_collection_types=retain_collection_types,
+                    value_serializer=value_serializer,
+                ),
+            )
+            for kk, vv in val.items()
+        )
+    else:
+        rv = val
+        if value_serializer is not None:
+            rv = value_serializer(None, None, rv)
+
+    return rv
+
+
+def astuple(
+    inst,
+    recurse=True,
+    filter=None,
+    tuple_factory=tuple,
+    retain_collection_types=False,
+):
+    """
+    Return the *attrs* attribute values of *inst* as a tuple.
+
+    Optionally recurse into other *attrs*-decorated classes.
+
+    Args:
+        inst: Instance of an *attrs*-decorated class.
+
+        recurse (bool):
+            Recurse into classes that are also *attrs*-decorated.
+
+        filter (~typing.Callable):
+            A callable whose return code determines whether an attribute or
+            element is included (`True`) or dropped (`False`).  Is called with
+            the `attrs.Attribute` as the first argument and the value as the
+            second argument.
+
+        tuple_factory (~typing.Callable):
+            A callable to produce tuples from. For example, to produce lists
+            instead of tuples.
+
+        retain_collection_types (bool):
+            Do not convert to `list` or `dict` when encountering an attribute
+            which type is `tuple`, `dict` or `set`. Only meaningful if
+            *recurse* is `True`.
+
+    Returns:
+        Return type of *tuple_factory*
+
+    Raises:
+        attrs.exceptions.NotAnAttrsClassError:
+            If *cls* is not an *attrs* class.
+
+    ..  versionadded:: 16.2.0
+    """
+    attrs = fields(inst.__class__)
+    rv = []
+    retain = retain_collection_types  # Very long. :/
+    for a in attrs:
+        v = getattr(inst, a.name)
+        if filter is not None and not filter(a, v):
+            continue
+        value_type = type(v)
+        if recurse is True:
+            if value_type in _ATOMIC_TYPES:
+                rv.append(v)
+            elif has(value_type):
+                rv.append(
+                    astuple(
+                        v,
+                        recurse=True,
+                        filter=filter,
+                        tuple_factory=tuple_factory,
+                        retain_collection_types=retain,
+                    )
+                )
+            elif issubclass(value_type, (tuple, list, set, frozenset)):
+                cf = v.__class__ if retain is True else list
+                items = [
+                    (
+                        astuple(
+                            j,
+                            recurse=True,
+                            filter=filter,
+                            tuple_factory=tuple_factory,
+                            retain_collection_types=retain,
+                        )
+                        if has(j.__class__)
+                        else j
+                    )
+                    for j in v
+                ]
+                try:
+                    rv.append(cf(items))
+                except TypeError:
+                    if not issubclass(cf, tuple):
+                        raise
+                    # Workaround for TypeError: cf.__new__() missing 1 required
+                    # positional argument (which appears, for a namedturle)
+                    rv.append(cf(*items))
+            elif issubclass(value_type, dict):
+                df = value_type if retain is True else dict
+                rv.append(
+                    df(
+                        (
+                            (
+                                astuple(
+                                    kk,
+                                    tuple_factory=tuple_factory,
+                                    retain_collection_types=retain,
+                                )
+                                if has(kk.__class__)
+                                else kk
+                            ),
+                            (
+                                astuple(
+                                    vv,
+                                    tuple_factory=tuple_factory,
+                                    retain_collection_types=retain,
+                                )
+                                if has(vv.__class__)
+                                else vv
+                            ),
+                        )
+                        for kk, vv in v.items()
+                    )
+                )
+            else:
+                rv.append(v)
+        else:
+            rv.append(v)
+
+    return rv if tuple_factory is list else tuple_factory(rv)
+
+
+def has(cls):
+    """
+    Check whether *cls* is a class with *attrs* attributes.
+
+    Args:
+        cls (type): Class to introspect.
+
+    Raises:
+        TypeError: If *cls* is not a class.
+
+    Returns:
+        bool:
+    """
+    attrs = getattr(cls, "__attrs_attrs__", None)
+    if attrs is not None:
+        return True
+
+    # No attrs, maybe it's a specialized generic (A[str])?
+    generic_base = get_generic_base(cls)
+    if generic_base is not None:
+        generic_attrs = getattr(generic_base, "__attrs_attrs__", None)
+        if generic_attrs is not None:
+            # Stick it on here for speed next time.
+            cls.__attrs_attrs__ = generic_attrs
+        return generic_attrs is not None
+    return False
+
+
+def assoc(inst, **changes):
+    """
+    Copy *inst* and apply *changes*.
+
+    This is different from `evolve` that applies the changes to the arguments
+    that create the new instance.
+
+    `evolve`'s behavior is preferable, but there are `edge cases`_ where it
+    doesn't work. Therefore `assoc` is deprecated, but will not be removed.
+
+    .. _`edge cases`: https://github.com/python-attrs/attrs/issues/251
+
+    Args:
+        inst: Instance of a class with *attrs* attributes.
+
+        changes: Keyword changes in the new copy.
+
+    Returns:
+        A copy of inst with *changes* incorporated.
+
+    Raises:
+        attrs.exceptions.AttrsAttributeNotFoundError:
+            If *attr_name* couldn't be found on *cls*.
+
+        attrs.exceptions.NotAnAttrsClassError:
+            If *cls* is not an *attrs* class.
+
+    ..  deprecated:: 17.1.0
+        Use `attrs.evolve` instead if you can. This function will not be
+        removed du to the slightly different approach compared to
+        `attrs.evolve`, though.
+    """
+    new = copy.copy(inst)
+    attrs = fields(inst.__class__)
+    for k, v in changes.items():
+        a = getattr(attrs, k, NOTHING)
+        if a is NOTHING:
+            msg = f"{k} is not an attrs attribute on {new.__class__}."
+            raise AttrsAttributeNotFoundError(msg)
+        _OBJ_SETATTR(new, k, v)
+    return new
+
+
+def resolve_types(
+    cls, globalns=None, localns=None, attribs=None, include_extras=True
+):
+    """
+    Resolve any strings and forward annotations in type annotations.
+
+    This is only required if you need concrete types in :class:`Attribute`'s
+    *type* field. In other words, you don't need to resolve your types if you
+    only use them for static type checking.
+
+    With no arguments, names will be looked up in the module in which the class
+    was created. If this is not what you want, for example, if the name only
+    exists inside a method, you may pass *globalns* or *localns* to specify
+    other dictionaries in which to look up these names. See the docs of
+    `typing.get_type_hints` for more details.
+
+    Args:
+        cls (type): Class to resolve.
+
+        globalns (dict | None): Dictionary containing global variables.
+
+        localns (dict | None): Dictionary containing local variables.
+
+        attribs (list | None):
+            List of attribs for the given class. This is necessary when calling
+            from inside a ``field_transformer`` since *cls* is not an *attrs*
+            class yet.
+
+        include_extras (bool):
+            Resolve more accurately, if possible. Pass ``include_extras`` to
+            ``typing.get_hints``, if supported by the typing module. On
+            supported Python versions (3.9+), this resolves the types more
+            accurately.
+
+    Raises:
+        TypeError: If *cls* is not a class.
+
+        attrs.exceptions.NotAnAttrsClassError:
+            If *cls* is not an *attrs* class and you didn't pass any attribs.
+
+        NameError: If types cannot be resolved because of missing variables.
+
+    Returns:
+        *cls* so you can use this function also as a class decorator. Please
+        note that you have to apply it **after** `attrs.define`. That means the
+        decorator has to come in the line **before** `attrs.define`.
+
+    ..  versionadded:: 20.1.0
+    ..  versionadded:: 21.1.0 *attribs*
+    ..  versionadded:: 23.1.0 *include_extras*
+    """
+    # Since calling get_type_hints is expensive we cache whether we've
+    # done it already.
+    if getattr(cls, "__attrs_types_resolved__", None) != cls:
+        import typing
+
+        kwargs = {
+            "globalns": globalns,
+            "localns": localns,
+            "include_extras": include_extras,
+        }
+
+        hints = typing.get_type_hints(cls, **kwargs)
+        for field in fields(cls) if attribs is None else attribs:
+            if field.name in hints:
+                # Since fields have been frozen we must work around it.
+                _OBJ_SETATTR(field, "type", hints[field.name])
+        # We store the class we resolved so that subclasses know they haven't
+        # been resolved.
+        cls.__attrs_types_resolved__ = cls
+
+    # Return the class so you can use it as a decorator too.
+    return cls

py311/lib/python3.11/site-packages/attr/_next_gen.py

@@ -0,0 +1,674 @@
+# SPDX-License-Identifier: MIT
+
+"""
+These are keyword-only APIs that call `attr.s` and `attr.ib` with different
+default values.
+"""
+
+from functools import partial
+
+from . import setters
+from ._funcs import asdict as _asdict
+from ._funcs import astuple as _astuple
+from ._make import (
+    _DEFAULT_ON_SETATTR,
+    NOTHING,
+    _frozen_setattrs,
+    attrib,
+    attrs,
+)
+from .exceptions import NotAnAttrsClassError, UnannotatedAttributeError
+
+
+def define(
+    maybe_cls=None,
+    *,
+    these=None,
+    repr=None,
+    unsafe_hash=None,
+    hash=None,
+    init=None,
+    slots=True,
+    frozen=False,
+    weakref_slot=True,
+    str=False,
+    auto_attribs=None,
+    kw_only=False,
+    cache_hash=False,
+    auto_exc=True,
+    eq=None,
+    order=False,
+    auto_detect=True,
+    getstate_setstate=None,
+    on_setattr=None,
+    field_transformer=None,
+    match_args=True,
+    force_kw_only=False,
+):
+    r"""
+    A class decorator that adds :term:`dunder methods` according to
+    :term:`fields <field>` specified using :doc:`type annotations <types>`,
+    `field()` calls, or the *these* argument.
+
+    Since *attrs* patches or replaces an existing class, you cannot use
+    `object.__init_subclass__` with *attrs* classes, because it runs too early.
+    As a replacement, you can define ``__attrs_init_subclass__`` on your class.
+    It will be called by *attrs* classes that subclass it after they're
+    created. See also :ref:`init-subclass`.
+
+    Args:
+        slots (bool):
+            Create a :term:`slotted class <slotted classes>` that's more
+            memory-efficient. Slotted classes are generally superior to the
+            default dict classes, but have some gotchas you should know about,
+            so we encourage you to read the :term:`glossary entry <slotted
+            classes>`.
+
+        auto_detect (bool):
+            Instead of setting the *init*, *repr*, *eq*, and *hash* arguments
+            explicitly, assume they are set to True **unless any** of the
+            involved methods for one of the arguments is implemented in the
+            *current* class (meaning, it is *not* inherited from some base
+            class).
+
+            So, for example by implementing ``__eq__`` on a class yourself,
+            *attrs* will deduce ``eq=False`` and will create *neither*
+            ``__eq__`` *nor* ``__ne__`` (but Python classes come with a
+            sensible ``__ne__`` by default, so it *should* be enough to only
+            implement ``__eq__`` in most cases).
+
+            Passing :data:`True` or :data:`False` to *init*, *repr*, *eq*, or *hash*
+            overrides whatever *auto_detect* would determine.
+
+        auto_exc (bool):
+            If the class subclasses `BaseException` (which implicitly includes
+            any subclass of any exception), the following happens to behave
+            like a well-behaved Python exception class:
+
+            - the values for *eq*, *order*, and *hash* are ignored and the
+              instances compare and hash by the instance's ids [#]_ ,
+            - all attributes that are either passed into ``__init__`` or have a
+              default value are additionally available as a tuple in the
+              ``args`` attribute,
+            - the value of *str* is ignored leaving ``__str__`` to base
+              classes.
+
+            .. [#]
+               Note that *attrs* will *not* remove existing implementations of
+               ``__hash__`` or the equality methods. It just won't add own
+               ones.
+
+        on_setattr (~typing.Callable | list[~typing.Callable] | None | ~typing.Literal[attrs.setters.NO_OP]):
+            A callable that is run whenever the user attempts to set an
+            attribute (either by assignment like ``i.x = 42`` or by using
+            `setattr` like ``setattr(i, "x", 42)``). It receives the same
+            arguments as validators: the instance, the attribute that is being
+            modified, and the new value.
+
+            If no exception is raised, the attribute is set to the return value
+            of the callable.
+
+            If a list of callables is passed, they're automatically wrapped in
+            an `attrs.setters.pipe`.
+
+            If left None, the default behavior is to run converters and
+            validators whenever an attribute is set.
+
+        init (bool):
+            Create a ``__init__`` method that initializes the *attrs*
+            attributes. Leading underscores are stripped for the argument name,
+            unless an alias is set on the attribute.
+
+            .. seealso::
+                `init` shows advanced ways to customize the generated
+                ``__init__`` method, including executing code before and after.
+
+        repr(bool):
+            Create a ``__repr__`` method with a human readable representation
+            of *attrs* attributes.
+
+        str (bool):
+            Create a ``__str__`` method that is identical to ``__repr__``. This
+            is usually not necessary except for `Exception`\ s.
+
+        eq (bool | None):
+            If True or None (default), add ``__eq__`` and ``__ne__`` methods
+            that check two instances for equality.
+
+            .. seealso::
+                `comparison` describes how to customize the comparison behavior
+                going as far comparing NumPy arrays.
+
+        order (bool | None):
+            If True, add ``__lt__``, ``__le__``, ``__gt__``, and ``__ge__``
+            methods that behave like *eq* above and allow instances to be
+            ordered.
+
+            They compare the instances as if they were tuples of their *attrs*
+            attributes if and only if the types of both classes are
+            *identical*.
+
+            If `None` mirror value of *eq*.
+
+            .. seealso:: `comparison`
+
+        unsafe_hash (bool | None):
+            If None (default), the ``__hash__`` method is generated according
+            how *eq* and *frozen* are set.
+
+            1. If *both* are True, *attrs* will generate a ``__hash__`` for
+               you.
+            2. If *eq* is True and *frozen* is False, ``__hash__`` will be set
+               to None, marking it unhashable (which it is).
+            3. If *eq* is False, ``__hash__`` will be left untouched meaning
+               the ``__hash__`` method of the base class will be used. If the
+               base class is `object`, this means it will fall back to id-based
+               hashing.
+
+            Although not recommended, you can decide for yourself and force
+            *attrs* to create one (for example, if the class is immutable even
+            though you didn't freeze it programmatically) by passing True or
+            not.  Both of these cases are rather special and should be used
+            carefully.
+
+            .. seealso::
+
+                - Our documentation on `hashing`,
+                - Python's documentation on `object.__hash__`,
+                - and the `GitHub issue that led to the default \ behavior
+                  <https://github.com/python-attrs/attrs/issues/136>`_ for more
+                  details.
+
+        hash (bool | None):
+            Deprecated alias for *unsafe_hash*. *unsafe_hash* takes precedence.
+
+        cache_hash (bool):
+            Ensure that the object's hash code is computed only once and stored
+            on the object.  If this is set to True, hashing must be either
+            explicitly or implicitly enabled for this class.  If the hash code
+            is cached, avoid any reassignments of fields involved in hash code
+            computation or mutations of the objects those fields point to after
+            object creation.  If such changes occur, the behavior of the
+            object's hash code is undefined.
+
+        frozen (bool):
+            Make instances immutable after initialization.  If someone attempts
+            to modify a frozen instance, `attrs.exceptions.FrozenInstanceError`
+            is raised.
+
+            .. note::
+
+                1. This is achieved by installing a custom ``__setattr__``
+                   method on your class, so you can't implement your own.
+
+                2. True immutability is impossible in Python.
+
+                3. This *does* have a minor a runtime performance `impact
+                   <how-frozen>` when initializing new instances.  In other
+                   words: ``__init__`` is slightly slower with ``frozen=True``.
+
+                4. If a class is frozen, you cannot modify ``self`` in
+                   ``__attrs_post_init__`` or a self-written ``__init__``. You
+                   can circumvent that limitation by using
+                   ``object.__setattr__(self, "attribute_name", value)``.
+
+                5. Subclasses of a frozen class are frozen too.
+
+        kw_only (bool):
+            Make attributes keyword-only in the generated ``__init__`` (if
+            *init* is False, this parameter is ignored).  Attributes that
+            explicitly set ``kw_only=False`` are not affected; base class
+            attributes are also not affected.
+
+            Also see *force_kw_only*.
+
+        weakref_slot (bool):
+            Make instances weak-referenceable.  This has no effect unless
+            *slots* is True.
+
+        field_transformer (~typing.Callable | None):
+            A function that is called with the original class object and all
+            fields right before *attrs* finalizes the class.  You can use this,
+            for example, to automatically add converters or validators to
+            fields based on their types.
+
+            .. seealso:: `transform-fields`
+
+        match_args (bool):
+            If True (default), set ``__match_args__`` on the class to support
+            :pep:`634` (*Structural Pattern Matching*). It is a tuple of all
+            non-keyword-only ``__init__`` parameter names on Python 3.10 and
+            later. Ignored on older Python versions.
+
+        collect_by_mro (bool):
+            If True, *attrs* collects attributes from base classes correctly
+            according to the `method resolution order
+            <https://docs.python.org/3/howto/mro.html>`_. If False, *attrs*
+            will mimic the (wrong) behavior of `dataclasses` and :pep:`681`.
+
+            See also `issue #428
+            <https://github.com/python-attrs/attrs/issues/428>`_.
+
+        force_kw_only (bool):
+            A back-compat flag for restoring pre-25.4.0 behavior.  If True and
+            ``kw_only=True``, all attributes are made keyword-only, including
+            base class attributes, and those set to ``kw_only=False`` at the
+            attribute level.  Defaults to False.
+
+            See also `issue #980
+            <https://github.com/python-attrs/attrs/issues/980>`_.
+
+        getstate_setstate (bool | None):
+            .. note::
+
+                This is usually only interesting for slotted classes and you
+                should probably just set *auto_detect* to True.
+
+            If True, ``__getstate__`` and ``__setstate__`` are generated and
+            attached to the class. This is necessary for slotted classes to be
+            pickleable. If left None, it's True by default for slotted classes
+            and False for dict classes.
+
+            If *auto_detect* is True, and *getstate_setstate* is left None, and
+            **either** ``__getstate__`` or ``__setstate__`` is detected
+            directly on the class (meaning: not inherited), it is set to False
+            (this is usually what you want).
+
+        auto_attribs (bool | None):
+            If True, look at type annotations to determine which attributes to
+            use, like `dataclasses`. If False, it will only look for explicit
+            :func:`field` class attributes, like classic *attrs*.
+
+            If left None, it will guess:
+
+            1. If any attributes are annotated and no unannotated
+               `attrs.field`\ s are found, it assumes *auto_attribs=True*.
+            2. Otherwise it assumes *auto_attribs=False* and tries to collect
+               `attrs.field`\ s.
+
+            If *attrs* decides to look at type annotations, **all** fields
+            **must** be annotated. If *attrs* encounters a field that is set to
+            a :func:`field` / `attr.ib` but lacks a type annotation, an
+            `attrs.exceptions.UnannotatedAttributeError` is raised.  Use
+            ``field_name: typing.Any = field(...)`` if you don't want to set a
+            type.
+
+            .. warning::
+
+                For features that use the attribute name to create decorators
+                (for example, :ref:`validators <validators>`), you still *must*
+                assign :func:`field` / `attr.ib` to them. Otherwise Python will
+                either not find the name or try to use the default value to
+                call, for example, ``validator`` on it.
+
+            Attributes annotated as `typing.ClassVar`, and attributes that are
+            neither annotated nor set to an `field()` are **ignored**.
+
+        these (dict[str, object]):
+            A dictionary of name to the (private) return value of `field()`
+            mappings. This is useful to avoid the definition of your attributes
+            within the class body because you can't (for example, if you want
+            to add ``__repr__`` methods to Django models) or don't want to.
+
+            If *these* is not `None`, *attrs* will *not* search the class body
+            for attributes and will *not* remove any attributes from it.
+
+            The order is deduced from the order of the attributes inside
+            *these*.
+
+            Arguably, this is a rather obscure feature.
+
+    .. versionadded:: 20.1.0
+    .. versionchanged:: 21.3.0 Converters are also run ``on_setattr``.
+    .. versionadded:: 22.2.0
+       *unsafe_hash* as an alias for *hash* (for :pep:`681` compliance).
+    .. versionchanged:: 24.1.0
+       Instances are not compared as tuples of attributes anymore, but using a
+       big ``and`` condition. This is faster and has more correct behavior for
+       uncomparable values like `math.nan`.
+    .. versionadded:: 24.1.0
+       If a class has an *inherited* classmethod called
+       ``__attrs_init_subclass__``, it is executed after the class is created.
+    .. deprecated:: 24.1.0 *hash* is deprecated in favor of *unsafe_hash*.
+    .. versionadded:: 24.3.0
+       Unless already present, a ``__replace__`` method is automatically
+       created for `copy.replace` (Python 3.13+ only).
+    .. versionchanged:: 25.4.0
+       *kw_only* now only applies to attributes defined in the current class,
+       and respects attribute-level ``kw_only=False`` settings.
+    .. versionadded:: 25.4.0
+       Added *force_kw_only* to go back to the previous *kw_only* behavior.
+
+    .. note::
+
+        The main differences to the classic `attr.s` are:
+
+        - Automatically detect whether or not *auto_attribs* should be `True`
+          (c.f. *auto_attribs* parameter).
+        - Converters and validators run when attributes are set by default --
+          if *frozen* is `False`.
+        - *slots=True*
+
+          Usually, this has only upsides and few visible effects in everyday
+          programming. But it *can* lead to some surprising behaviors, so
+          please make sure to read :term:`slotted classes`.
+
+        - *auto_exc=True*
+        - *auto_detect=True*
+        - *order=False*
+        - *force_kw_only=False*
+        - Some options that were only relevant on Python 2 or were kept around
+          for backwards-compatibility have been removed.
+
+    """
+
+    def do_it(cls, auto_attribs):
+        return attrs(
+            maybe_cls=cls,
+            these=these,
+            repr=repr,
+            hash=hash,
+            unsafe_hash=unsafe_hash,
+            init=init,
+            slots=slots,
+            frozen=frozen,
+            weakref_slot=weakref_slot,
+            str=str,
+            auto_attribs=auto_attribs,
+            kw_only=kw_only,
+            cache_hash=cache_hash,
+            auto_exc=auto_exc,
+            eq=eq,
+            order=order,
+            auto_detect=auto_detect,
+            collect_by_mro=True,
+            getstate_setstate=getstate_setstate,
+            on_setattr=on_setattr,
+            field_transformer=field_transformer,
+            match_args=match_args,
+            force_kw_only=force_kw_only,
+        )
+
+    def wrap(cls):
+        """
+        Making this a wrapper ensures this code runs during class creation.
+
+        We also ensure that frozen-ness of classes is inherited.
+        """
+        nonlocal frozen, on_setattr
+
+        had_on_setattr = on_setattr not in (None, setters.NO_OP)
+
+        # By default, mutable classes convert & validate on setattr.
+        if frozen is False and on_setattr is None:
+            on_setattr = _DEFAULT_ON_SETATTR
+
+        # However, if we subclass a frozen class, we inherit the immutability
+        # and disable on_setattr.
+        for base_cls in cls.__bases__:
+            if base_cls.__setattr__ is _frozen_setattrs:
+                if had_on_setattr:
+                    msg = "Frozen classes can't use on_setattr (frozen-ness was inherited)."
+                    raise ValueError(msg)
+
+                on_setattr = setters.NO_OP
+                break
+
+        if auto_attribs is not None:
+            return do_it(cls, auto_attribs)
+
+        try:
+            return do_it(cls, True)
+        except UnannotatedAttributeError:
+            return do_it(cls, False)
+
+    # maybe_cls's type depends on the usage of the decorator.  It's a class
+    # if it's used as `@attrs` but `None` if used as `@attrs()`.
+    if maybe_cls is None:
+        return wrap
+
+    return wrap(maybe_cls)
+
+
+mutable = define
+frozen = partial(define, frozen=True, on_setattr=None)
+
+
+def field(
+    *,
+    default=NOTHING,
+    validator=None,
+    repr=True,
+    hash=None,
+    init=True,
+    metadata=None,
+    type=None,
+    converter=None,
+    factory=None,
+    kw_only=None,
+    eq=None,
+    order=None,
+    on_setattr=None,
+    alias=None,
+):
+    """
+    Create a new :term:`field` / :term:`attribute` on a class.
+
+    ..  warning::
+
+        Does **nothing** unless the class is also decorated with
+        `attrs.define` (or similar)!
+
+    Args:
+        default:
+            A value that is used if an *attrs*-generated ``__init__`` is used
+            and no value is passed while instantiating or the attribute is
+            excluded using ``init=False``.
+
+            If the value is an instance of `attrs.Factory`, its callable will
+            be used to construct a new value (useful for mutable data types
+            like lists or dicts).
+
+            If a default is not set (or set manually to `attrs.NOTHING`), a
+            value *must* be supplied when instantiating; otherwise a
+            `TypeError` will be raised.
+
+            .. seealso:: `defaults`
+
+        factory (~typing.Callable):
+            Syntactic sugar for ``default=attr.Factory(factory)``.
+
+        validator (~typing.Callable | list[~typing.Callable]):
+            Callable that is called by *attrs*-generated ``__init__`` methods
+            after the instance has been initialized.  They receive the
+            initialized instance, the :func:`~attrs.Attribute`, and the passed
+            value.
+
+            The return value is *not* inspected so the validator has to throw
+            an exception itself.
+
+            If a `list` is passed, its items are treated as validators and must
+            all pass.
+
+            Validators can be globally disabled and re-enabled using
+            `attrs.validators.get_disabled` / `attrs.validators.set_disabled`.
+
+            The validator can also be set using decorator notation as shown
+            below.
+
+            .. seealso:: :ref:`validators`
+
+        repr (bool | ~typing.Callable):
+            Include this attribute in the generated ``__repr__`` method. If
+            True, include the attribute; if False, omit it. By default, the
+            built-in ``repr()`` function is used. To override how the attribute
+            value is formatted, pass a ``callable`` that takes a single value
+            and returns a string. Note that the resulting string is used as-is,
+            which means it will be used directly *instead* of calling
+            ``repr()`` (the default).
+
+        eq (bool | ~typing.Callable):
+            If True (default), include this attribute in the generated
+            ``__eq__`` and ``__ne__`` methods that check two instances for
+            equality. To override how the attribute value is compared, pass a
+            callable that takes a single value and returns the value to be
+            compared.
+
+            .. seealso:: `comparison`
+
+        order (bool | ~typing.Callable):
+            If True (default), include this attributes in the generated
+            ``__lt__``, ``__le__``, ``__gt__`` and ``__ge__`` methods. To
+            override how the attribute value is ordered, pass a callable that
+            takes a single value and returns the value to be ordered.
+
+            .. seealso:: `comparison`
+
+        hash (bool | None):
+            Include this attribute in the generated ``__hash__`` method.  If
+            None (default), mirror *eq*'s value.  This is the correct behavior
+            according the Python spec.  Setting this value to anything else
+            than None is *discouraged*.
+
+            .. seealso:: `hashing`
+
+        init (bool):
+            Include this attribute in the generated ``__init__`` method.
+
+            It is possible to set this to False and set a default value. In
+            that case this attributed is unconditionally initialized with the
+            specified default value or factory.
+
+            .. seealso:: `init`
+
+        converter (typing.Callable | Converter):
+            A callable that is called by *attrs*-generated ``__init__`` methods
+            to convert attribute's value to the desired format.
+
+            If a vanilla callable is passed, it is given the passed-in value as
+            the only positional argument. It is possible to receive additional
+            arguments by wrapping the callable in a `Converter`.
+
+            Either way, the returned value will be used as the new value of the
+            attribute.  The value is converted before being passed to the
+            validator, if any.
+
+            .. seealso:: :ref:`converters`
+
+        metadata (dict | None):
+            An arbitrary mapping, to be used by third-party code.
+
+            .. seealso:: `extending-metadata`.
+
+        type (type):
+            The type of the attribute. Nowadays, the preferred method to
+            specify the type is using a variable annotation (see :pep:`526`).
+            This argument is provided for backwards-compatibility and for usage
+            with `make_class`. Regardless of the approach used, the type will
+            be stored on ``Attribute.type``.
+
+            Please note that *attrs* doesn't do anything with this metadata by
+            itself. You can use it as part of your own code or for `static type
+            checking <types>`.
+
+        kw_only (bool | None):
+            Make this attribute keyword-only in the generated ``__init__`` (if
+            *init* is False, this parameter is ignored).  If None (default),
+            mirror the setting from `attrs.define`.
+
+        on_setattr (~typing.Callable | list[~typing.Callable] | None | ~typing.Literal[attrs.setters.NO_OP]):
+            Allows to overwrite the *on_setattr* setting from `attr.s`. If left
+            None, the *on_setattr* value from `attr.s` is used. Set to
+            `attrs.setters.NO_OP` to run **no** `setattr` hooks for this
+            attribute -- regardless of the setting in `define()`.
+
+        alias (str | None):
+            Override this attribute's parameter name in the generated
+            ``__init__`` method. If left None, default to ``name`` stripped
+            of leading underscores. See `private-attributes`.
+
+    .. versionadded:: 20.1.0
+    .. versionchanged:: 21.1.0
+       *eq*, *order*, and *cmp* also accept a custom callable
+    .. versionadded:: 22.2.0 *alias*
+    .. versionadded:: 23.1.0
+       The *type* parameter has been re-added; mostly for `attrs.make_class`.
+       Please note that type checkers ignore this metadata.
+    .. versionchanged:: 25.4.0
+       *kw_only* can now be None, and its default is also changed from False to
+       None.
+
+    .. seealso::
+
+       `attr.ib`
+    """
+    return attrib(
+        default=default,
+        validator=validator,
+        repr=repr,
+        hash=hash,
+        init=init,
+        metadata=metadata,
+        type=type,
+        converter=converter,
+        factory=factory,
+        kw_only=kw_only,
+        eq=eq,
+        order=order,
+        on_setattr=on_setattr,
+        alias=alias,
+    )
+
+
+def asdict(inst, *, recurse=True, filter=None, value_serializer=None):
+    """
+    Same as `attr.asdict`, except that collections types are always retained
+    and dict is always used as *dict_factory*.
+
+    .. versionadded:: 21.3.0
+    """
+    return _asdict(
+        inst=inst,
+        recurse=recurse,
+        filter=filter,
+        value_serializer=value_serializer,
+        retain_collection_types=True,
+    )
+
+
+def astuple(inst, *, recurse=True, filter=None):
+    """
+    Same as `attr.astuple`, except that collections types are always retained
+    and `tuple` is always used as the *tuple_factory*.
+
+    .. versionadded:: 21.3.0
+    """
+    return _astuple(
+        inst=inst, recurse=recurse, filter=filter, retain_collection_types=True
+    )
+
+
+def inspect(cls):
+    """
+    Inspect the class and return its effective build parameters.
+
+    Warning:
+        This feature is currently **experimental** and is not covered by our
+        strict backwards-compatibility guarantees.
+
+    Args:
+        cls: The *attrs*-decorated class to inspect.
+
+    Returns:
+        The effective build parameters of the class.
+
+    Raises:
+        NotAnAttrsClassError: If the class is not an *attrs*-decorated class.
+
+    .. versionadded:: 25.4.0
+    """
+    try:
+        return cls.__dict__["__attrs_props__"]
+    except KeyError:
+        msg = f"{cls!r} is not an attrs-decorated class."
+        raise NotAnAttrsClassError(msg) from None

py311/lib/python3.11/site-packages/attr/_typing_compat.pyi

@@ -0,0 +1,15 @@
+from typing import Any, ClassVar, Protocol
+
+# MYPY is a special constant in mypy which works the same way as `TYPE_CHECKING`.
+MYPY = False
+
+if MYPY:
+    # A protocol to be able to statically accept an attrs class.
+    class AttrsInstance_(Protocol):
+        __attrs_attrs__: ClassVar[Any]
+
+else:
+    # For type checkers without plug-in support use an empty protocol that
+    # will (hopefully) be combined into a union.
+    class AttrsInstance_(Protocol):
+        pass

py311/lib/python3.11/site-packages/attr/_version_info.py

@@ -0,0 +1,89 @@
+# SPDX-License-Identifier: MIT
+
+
+from functools import total_ordering
+
+from ._funcs import astuple
+from ._make import attrib, attrs
+
+
+@total_ordering
+@attrs(eq=False, order=False, slots=True, frozen=True)
+class VersionInfo:
+    """
+    A version object that can be compared to tuple of length 1--4:
+
+    >>> attr.VersionInfo(19, 1, 0, "final")  <= (19, 2)
+    True
+    >>> attr.VersionInfo(19, 1, 0, "final") < (19, 1, 1)
+    True
+    >>> vi = attr.VersionInfo(19, 2, 0, "final")
+    >>> vi < (19, 1, 1)
+    False
+    >>> vi < (19,)
+    False
+    >>> vi == (19, 2,)
+    True
+    >>> vi == (19, 2, 1)
+    False
+
+    .. versionadded:: 19.2
+    """
+
+    year = attrib(type=int)
+    minor = attrib(type=int)
+    micro = attrib(type=int)
+    releaselevel = attrib(type=str)
+
+    @classmethod
+    def _from_version_string(cls, s):
+        """
+        Parse *s* and return a _VersionInfo.
+        """
+        v = s.split(".")
+        if len(v) == 3:
+            v.append("final")
+
+        return cls(
+            year=int(v[0]), minor=int(v[1]), micro=int(v[2]), releaselevel=v[3]
+        )
+
+    def _ensure_tuple(self, other):
+        """
+        Ensure *other* is a tuple of a valid length.
+
+        Returns a possibly transformed *other* and ourselves as a tuple of
+        the same length as *other*.
+        """
+
+        if self.__class__ is other.__class__:
+            other = astuple(other)
+
+        if not isinstance(other, tuple):
+            raise NotImplementedError
+
+        if not (1 <= len(other) <= 4):
+            raise NotImplementedError
+
+        return astuple(self)[: len(other)], other
+
+    def __eq__(self, other):
+        try:
+            us, them = self._ensure_tuple(other)
+        except NotImplementedError:
+            return NotImplemented
+
+        return us == them
+
+    def __lt__(self, other):
+        try:
+            us, them = self._ensure_tuple(other)
+        except NotImplementedError:
+            return NotImplemented
+
+        # Since alphabetically "dev0" < "final" < "post1" < "post2", we don't
+        # have to do anything special with releaselevel for now.
+        return us < them
+
+    def __hash__(self):
+        return hash((self.year, self.minor, self.micro, self.releaselevel))

py311/lib/python3.11/site-packages/attr/_version_info.pyi

@@ -0,0 +1,9 @@
+class VersionInfo:
+    @property
+    def year(self) -> int: ...
+    @property
+    def minor(self) -> int: ...
+    @property
+    def micro(self) -> int: ...
+    @property
+    def releaselevel(self) -> str: ...

py311/lib/python3.11/site-packages/attr/converters.py

@@ -0,0 +1,162 @@
+# SPDX-License-Identifier: MIT
+
+"""
+Commonly useful converters.
+"""
+
+import typing
+
+from ._compat import _AnnotationExtractor
+from ._make import NOTHING, Converter, Factory, pipe
+
+
+__all__ = [
+    "default_if_none",
+    "optional",
+    "pipe",
+    "to_bool",
+]
+
+
+def optional(converter):
+    """
+    A converter that allows an attribute to be optional. An optional attribute
+    is one which can be set to `None`.
+
+    Type annotations will be inferred from the wrapped converter's, if it has
+    any.
+
+    Args:
+        converter (typing.Callable):
+            the converter that is used for non-`None` values.
+
+    .. versionadded:: 17.1.0
+    """
+
+    if isinstance(converter, Converter):
+
+        def optional_converter(val, inst, field):
+            if val is None:
+                return None
+            return converter(val, inst, field)
+
+    else:
+
+        def optional_converter(val):
+            if val is None:
+                return None
+            return converter(val)
+
+    xtr = _AnnotationExtractor(converter)
+
+    t = xtr.get_first_param_type()
+    if t:
+        optional_converter.__annotations__["val"] = typing.Optional[t]
+
+    rt = xtr.get_return_type()
+    if rt:
+        optional_converter.__annotations__["return"] = typing.Optional[rt]
+
+    if isinstance(converter, Converter):
+        return Converter(optional_converter, takes_self=True, takes_field=True)
+
+    return optional_converter
+
+
+def default_if_none(default=NOTHING, factory=None):
+    """
+    A converter that allows to replace `None` values by *default* or the result
+    of *factory*.
+
+    Args:
+        default:
+            Value to be used if `None` is passed. Passing an instance of
+            `attrs.Factory` is supported, however the ``takes_self`` option is
+            *not*.
+
+        factory (typing.Callable):
+            A callable that takes no parameters whose result is used if `None`
+            is passed.
+
+    Raises:
+        TypeError: If **neither** *default* or *factory* is passed.
+
+        TypeError: If **both** *default* and *factory* are passed.
+
+        ValueError:
+            If an instance of `attrs.Factory` is passed with
+            ``takes_self=True``.
+
+    .. versionadded:: 18.2.0
+    """
+    if default is NOTHING and factory is None:
+        msg = "Must pass either `default` or `factory`."
+        raise TypeError(msg)
+
+    if default is not NOTHING and factory is not None:
+        msg = "Must pass either `default` or `factory` but not both."
+        raise TypeError(msg)
+
+    if factory is not None:
+        default = Factory(factory)
+
+    if isinstance(default, Factory):
+        if default.takes_self:
+            msg = "`takes_self` is not supported by default_if_none."
+            raise ValueError(msg)
+
+        def default_if_none_converter(val):
+            if val is not None:
+                return val
+
+            return default.factory()
+
+    else:
+
+        def default_if_none_converter(val):
+            if val is not None:
+                return val
+
+            return default
+
+    return default_if_none_converter
+
+
+def to_bool(val):
+    """
+    Convert "boolean" strings (for example, from environment variables) to real
+    booleans.
+
+    Values mapping to `True`:
+
+    - ``True``
+    - ``"true"`` / ``"t"``
+    - ``"yes"`` / ``"y"``
+    - ``"on"``
+    - ``"1"``
+    - ``1``
+
+    Values mapping to `False`:
+
+    - ``False``
+    - ``"false"`` / ``"f"``
+    - ``"no"`` / ``"n"``
+    - ``"off"``
+    - ``"0"``
+    - ``0``
+
+    Raises:
+        ValueError: For any other value.
+
+    .. versionadded:: 21.3.0
+    """
+    if isinstance(val, str):
+        val = val.lower()
+
+    if val in (True, "true", "t", "yes", "y", "on", "1", 1):
+        return True
+    if val in (False, "false", "f", "no", "n", "off", "0", 0):
+        return False
+
+    msg = f"Cannot convert value to bool: {val!r}"
+    raise ValueError(msg)

py311/lib/python3.11/site-packages/attr/converters.pyi

@@ -0,0 +1,19 @@
+from typing import Callable, Any, overload
+
+from attrs import _ConverterType, _CallableConverterType
+
+@overload
+def pipe(*validators: _CallableConverterType) -> _CallableConverterType: ...
+@overload
+def pipe(*validators: _ConverterType) -> _ConverterType: ...
+@overload
+def optional(converter: _CallableConverterType) -> _CallableConverterType: ...
+@overload
+def optional(converter: _ConverterType) -> _ConverterType: ...
+@overload
+def default_if_none(default: Any) -> _CallableConverterType: ...
+@overload
+def default_if_none(
+    *, factory: Callable[[], Any]
+) -> _CallableConverterType: ...
+def to_bool(val: str | int | bool) -> bool: ...

py311/lib/python3.11/site-packages/attr/exceptions.py

@@ -0,0 +1,95 @@
+# SPDX-License-Identifier: MIT
+
+from __future__ import annotations
+
+from typing import ClassVar
+
+
+class FrozenError(AttributeError):
+    """
+    A frozen/immutable instance or attribute have been attempted to be
+    modified.
+
+    It mirrors the behavior of ``namedtuples`` by using the same error message
+    and subclassing `AttributeError`.
+
+    .. versionadded:: 20.1.0
+    """
+
+    msg = "can't set attribute"
+    args: ClassVar[tuple[str]] = [msg]
+
+
+class FrozenInstanceError(FrozenError):
+    """
+    A frozen instance has been attempted to be modified.
+
+    .. versionadded:: 16.1.0
+    """
+
+
+class FrozenAttributeError(FrozenError):
+    """
+    A frozen attribute has been attempted to be modified.
+
+    .. versionadded:: 20.1.0
+    """
+
+
+class AttrsAttributeNotFoundError(ValueError):
+    """
+    An *attrs* function couldn't find an attribute that the user asked for.
+
+    .. versionadded:: 16.2.0
+    """
+
+
+class NotAnAttrsClassError(ValueError):
+    """
+    A non-*attrs* class has been passed into an *attrs* function.
+
+    .. versionadded:: 16.2.0
+    """
+
+
+class DefaultAlreadySetError(RuntimeError):
+    """
+    A default has been set when defining the field and is attempted to be reset
+    using the decorator.
+
+    .. versionadded:: 17.1.0
+    """
+
+
+class UnannotatedAttributeError(RuntimeError):
+    """
+    A class with ``auto_attribs=True`` has a field without a type annotation.
+
+    .. versionadded:: 17.3.0
+    """
+
+
+class PythonTooOldError(RuntimeError):
+    """
+    It was attempted to use an *attrs* feature that requires a newer Python
+    version.
+
+    .. versionadded:: 18.2.0
+    """
+
+
+class NotCallableError(TypeError):
+    """
+    A field requiring a callable has been set with a value that is not
+    callable.
+
+    .. versionadded:: 19.2.0
+    """
+
+    def __init__(self, msg, value):
+        super(TypeError, self).__init__(msg, value)
+        self.msg = msg
+        self.value = value
+
+    def __str__(self):
+        return str(self.msg)

py311/lib/python3.11/site-packages/attr/exceptions.pyi

@@ -0,0 +1,17 @@
+from typing import Any
+
+class FrozenError(AttributeError):
+    msg: str = ...
+
+class FrozenInstanceError(FrozenError): ...
+class FrozenAttributeError(FrozenError): ...
+class AttrsAttributeNotFoundError(ValueError): ...
+class NotAnAttrsClassError(ValueError): ...
+class DefaultAlreadySetError(RuntimeError): ...
+class UnannotatedAttributeError(RuntimeError): ...
+class PythonTooOldError(RuntimeError): ...
+
+class NotCallableError(TypeError):
+    msg: str = ...
+    value: Any = ...
+    def __init__(self, msg: str, value: Any) -> None: ...

py311/lib/python3.11/site-packages/attr/filters.py

@@ -0,0 +1,72 @@
+# SPDX-License-Identifier: MIT
+
+"""
+Commonly useful filters for `attrs.asdict` and `attrs.astuple`.
+"""
+
+from ._make import Attribute
+
+
+def _split_what(what):
+    """
+    Returns a tuple of `frozenset`s of classes and attributes.
+    """
+    return (
+        frozenset(cls for cls in what if isinstance(cls, type)),
+        frozenset(cls for cls in what if isinstance(cls, str)),
+        frozenset(cls for cls in what if isinstance(cls, Attribute)),
+    )
+
+
+def include(*what):
+    """
+    Create a filter that only allows *what*.
+
+    Args:
+        what (list[type, str, attrs.Attribute]):
+            What to include. Can be a type, a name, or an attribute.
+
+    Returns:
+        Callable:
+            A callable that can be passed to `attrs.asdict`'s and
+            `attrs.astuple`'s *filter* argument.
+
+    .. versionchanged:: 23.1.0 Accept strings with field names.
+    """
+    cls, names, attrs = _split_what(what)
+
+    def include_(attribute, value):
+        return (
+            value.__class__ in cls
+            or attribute.name in names
+            or attribute in attrs
+        )
+
+    return include_
+
+
+def exclude(*what):
+    """
+    Create a filter that does **not** allow *what*.
+
+    Args:
+        what (list[type, str, attrs.Attribute]):
+            What to exclude. Can be a type, a name, or an attribute.
+
+    Returns:
+        Callable:
+            A callable that can be passed to `attrs.asdict`'s and
+            `attrs.astuple`'s *filter* argument.
+
+    .. versionchanged:: 23.3.0 Accept field name string as input argument
+    """
+    cls, names, attrs = _split_what(what)
+
+    def exclude_(attribute, value):
+        return not (
+            value.__class__ in cls
+            or attribute.name in names
+            or attribute in attrs
+        )
+
+    return exclude_

py311/lib/python3.11/site-packages/attr/filters.pyi

@@ -0,0 +1,6 @@
+from typing import Any
+
+from . import Attribute, _FilterType
+
+def include(*what: type | str | Attribute[Any]) -> _FilterType[Any]: ...
+def exclude(*what: type | str | Attribute[Any]) -> _FilterType[Any]: ...

py311/lib/python3.11/site-packages/attr/setters.py

@@ -0,0 +1,79 @@
+# SPDX-License-Identifier: MIT
+
+"""
+Commonly used hooks for on_setattr.
+"""
+
+from . import _config
+from .exceptions import FrozenAttributeError
+
+
+def pipe(*setters):
+    """
+    Run all *setters* and return the return value of the last one.
+
+    .. versionadded:: 20.1.0
+    """
+
+    def wrapped_pipe(instance, attrib, new_value):
+        rv = new_value
+
+        for setter in setters:
+            rv = setter(instance, attrib, rv)
+
+        return rv
+
+    return wrapped_pipe
+
+
+def frozen(_, __, ___):
+    """
+    Prevent an attribute to be modified.
+
+    .. versionadded:: 20.1.0
+    """
+    raise FrozenAttributeError
+
+
+def validate(instance, attrib, new_value):
+    """
+    Run *attrib*'s validator on *new_value* if it has one.
+
+    .. versionadded:: 20.1.0
+    """
+    if _config._run_validators is False:
+        return new_value
+
+    v = attrib.validator
+    if not v:
+        return new_value
+
+    v(instance, attrib, new_value)
+
+    return new_value
+
+
+def convert(instance, attrib, new_value):
+    """
+    Run *attrib*'s converter -- if it has one -- on *new_value* and return the
+    result.
+
+    .. versionadded:: 20.1.0
+    """
+    c = attrib.converter
+    if c:
+        # This can be removed once we drop 3.8 and use attrs.Converter instead.
+        from ._make import Converter
+
+        if not isinstance(c, Converter):
+            return c(new_value)
+
+        return c(new_value, instance, attrib)
+
+    return new_value
+
+
+# Sentinel for disabling class-wide *on_setattr* hooks for certain attributes.
+# Sphinx's autodata stopped working, so the docstring is inlined in the API
+# docs.
+NO_OP = object()

py311/lib/python3.11/site-packages/attr/setters.pyi

@@ -0,0 +1,20 @@
+from typing import Any, NewType, NoReturn, TypeVar
+
+from . import Attribute
+from attrs import _OnSetAttrType
+
+_T = TypeVar("_T")
+
+def frozen(
+    instance: Any, attribute: Attribute[Any], new_value: Any
+) -> NoReturn: ...
+def pipe(*setters: _OnSetAttrType) -> _OnSetAttrType: ...
+def validate(instance: Any, attribute: Attribute[_T], new_value: _T) -> _T: ...
+
+# convert is allowed to return Any, because they can be chained using pipe.
+def convert(
+    instance: Any, attribute: Attribute[Any], new_value: Any
+) -> Any: ...
+
+_NoOpType = NewType("_NoOpType", object)
+NO_OP: _NoOpType

py311/lib/python3.11/site-packages/attr/validators.py

@@ -0,0 +1,748 @@
+# SPDX-License-Identifier: MIT
+
+"""
+Commonly useful validators.
+"""
+
+import operator
+import re
+
+from contextlib import contextmanager
+from re import Pattern
+
+from ._config import get_run_validators, set_run_validators
+from ._make import _AndValidator, and_, attrib, attrs
+from .converters import default_if_none
+from .exceptions import NotCallableError
+
+
+__all__ = [
+    "and_",
+    "deep_iterable",
+    "deep_mapping",
+    "disabled",
+    "ge",
+    "get_disabled",
+    "gt",
+    "in_",
+    "instance_of",
+    "is_callable",
+    "le",
+    "lt",
+    "matches_re",
+    "max_len",
+    "min_len",
+    "not_",
+    "optional",
+    "or_",
+    "set_disabled",
+]
+
+
+def set_disabled(disabled):
+    """
+    Globally disable or enable running validators.
+
+    By default, they are run.
+
+    Args:
+        disabled (bool): If `True`, disable running all validators.
+
+    .. warning::
+
+        This function is not thread-safe!
+
+    .. versionadded:: 21.3.0
+    """
+    set_run_validators(not disabled)
+
+
+def get_disabled():
+    """
+    Return a bool indicating whether validators are currently disabled or not.
+
+    Returns:
+        bool:`True` if validators are currently disabled.
+
+    .. versionadded:: 21.3.0
+    """
+    return not get_run_validators()
+
+
+@contextmanager
+def disabled():
+    """
+    Context manager that disables running validators within its context.
+
+    .. warning::
+
+        This context manager is not thread-safe!
+
+    .. versionadded:: 21.3.0
+    """
+    set_run_validators(False)
+    try:
+        yield
+    finally:
+        set_run_validators(True)
+
+
+@attrs(repr=False, slots=True, unsafe_hash=True)
+class _InstanceOfValidator:
+    type = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if not isinstance(value, self.type):
+            msg = f"'{attr.name}' must be {self.type!r} (got {value!r} that is a {value.__class__!r})."
+            raise TypeError(
+                msg,
+                attr,
+                self.type,
+                value,
+            )
+
+    def __repr__(self):
+        return f"<instance_of validator for type {self.type!r}>"
+
+
+def instance_of(type):
+    """
+    A validator that raises a `TypeError` if the initializer is called with a
+    wrong type for this particular attribute (checks are performed using
+    `isinstance` therefore it's also valid to pass a tuple of types).
+
+    Args:
+        type (type | tuple[type]): The type to check for.
+
+    Raises:
+        TypeError:
+            With a human readable error message, the attribute (of type
+            `attrs.Attribute`), the expected type, and the value it got.
+    """
+    return _InstanceOfValidator(type)
+
+
+@attrs(repr=False, frozen=True, slots=True)
+class _MatchesReValidator:
+    pattern = attrib()
+    match_func = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if not self.match_func(value):
+            msg = f"'{attr.name}' must match regex {self.pattern.pattern!r} ({value!r} doesn't)"
+            raise ValueError(
+                msg,
+                attr,
+                self.pattern,
+                value,
+            )
+
+    def __repr__(self):
+        return f"<matches_re validator for pattern {self.pattern!r}>"
+
+
+def matches_re(regex, flags=0, func=None):
+    r"""
+    A validator that raises `ValueError` if the initializer is called with a
+    string that doesn't match *regex*.
+
+    Args:
+        regex (str, re.Pattern):
+            A regex string or precompiled pattern to match against
+
+        flags (int):
+            Flags that will be passed to the underlying re function (default 0)
+
+        func (typing.Callable):
+            Which underlying `re` function to call. Valid options are
+            `re.fullmatch`, `re.search`, and `re.match`; the default `None`
+            means `re.fullmatch`. For performance reasons, the pattern is
+            always precompiled using `re.compile`.
+
+    .. versionadded:: 19.2.0
+    .. versionchanged:: 21.3.0 *regex* can be a pre-compiled pattern.
+    """
+    valid_funcs = (re.fullmatch, None, re.search, re.match)
+    if func not in valid_funcs:
+        msg = "'func' must be one of {}.".format(
+            ", ".join(
+                sorted((e and e.__name__) or "None" for e in set(valid_funcs))
+            )
+        )
+        raise ValueError(msg)
+
+    if isinstance(regex, Pattern):
+        if flags:
+            msg = "'flags' can only be used with a string pattern; pass flags to re.compile() instead"
+            raise TypeError(msg)
+        pattern = regex
+    else:
+        pattern = re.compile(regex, flags)
+
+    if func is re.match:
+        match_func = pattern.match
+    elif func is re.search:
+        match_func = pattern.search
+    else:
+        match_func = pattern.fullmatch
+
+    return _MatchesReValidator(pattern, match_func)
+
+
+@attrs(repr=False, slots=True, unsafe_hash=True)
+class _OptionalValidator:
+    validator = attrib()
+
+    def __call__(self, inst, attr, value):
+        if value is None:
+            return
+
+        self.validator(inst, attr, value)
+
+    def __repr__(self):
+        return f"<optional validator for {self.validator!r} or None>"
+
+
+def optional(validator):
+    """
+    A validator that makes an attribute optional.  An optional attribute is one
+    which can be set to `None` in addition to satisfying the requirements of
+    the sub-validator.
+
+    Args:
+        validator
+            (typing.Callable | tuple[typing.Callable] | list[typing.Callable]):
+            A validator (or validators) that is used for non-`None` values.
+
+    .. versionadded:: 15.1.0
+    .. versionchanged:: 17.1.0 *validator* can be a list of validators.
+    .. versionchanged:: 23.1.0 *validator* can also be a tuple of validators.
+    """
+    if isinstance(validator, (list, tuple)):
+        return _OptionalValidator(_AndValidator(validator))
+
+    return _OptionalValidator(validator)
+
+
+@attrs(repr=False, slots=True, unsafe_hash=True)
+class _InValidator:
+    options = attrib()
+    _original_options = attrib(hash=False)
+
+    def __call__(self, inst, attr, value):
+        try:
+            in_options = value in self.options
+        except TypeError:  # e.g. `1 in "abc"`
+            in_options = False
+
+        if not in_options:
+            msg = f"'{attr.name}' must be in {self._original_options!r} (got {value!r})"
+            raise ValueError(
+                msg,
+                attr,
+                self._original_options,
+                value,
+            )
+
+    def __repr__(self):
+        return f"<in_ validator with options {self._original_options!r}>"
+
+
+def in_(options):
+    """
+    A validator that raises a `ValueError` if the initializer is called with a
+    value that does not belong in the *options* provided.
+
+    The check is performed using ``value in options``, so *options* has to
+    support that operation.
+
+    To keep the validator hashable, dicts, lists, and sets are transparently
+    transformed into a `tuple`.
+
+    Args:
+        options: Allowed options.
+
+    Raises:
+        ValueError:
+            With a human readable error message, the attribute (of type
+            `attrs.Attribute`), the expected options, and the value it got.
+
+    .. versionadded:: 17.1.0
+    .. versionchanged:: 22.1.0
+       The ValueError was incomplete until now and only contained the human
+       readable error message. Now it contains all the information that has
+       been promised since 17.1.0.
+    .. versionchanged:: 24.1.0
+       *options* that are a list, dict, or a set are now transformed into a
+       tuple to keep the validator hashable.
+    """
+    repr_options = options
+    if isinstance(options, (list, dict, set)):
+        options = tuple(options)
+
+    return _InValidator(options, repr_options)
+
+
+@attrs(repr=False, slots=False, unsafe_hash=True)
+class _IsCallableValidator:
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if not callable(value):
+            message = (
+                "'{name}' must be callable "
+                "(got {value!r} that is a {actual!r})."
+            )
+            raise NotCallableError(
+                msg=message.format(
+                    name=attr.name, value=value, actual=value.__class__
+                ),
+                value=value,
+            )
+
+    def __repr__(self):
+        return "<is_callable validator>"
+
+
+def is_callable():
+    """
+    A validator that raises a `attrs.exceptions.NotCallableError` if the
+    initializer is called with a value for this particular attribute that is
+    not callable.
+
+    .. versionadded:: 19.1.0
+
+    Raises:
+        attrs.exceptions.NotCallableError:
+            With a human readable error message containing the attribute
+            (`attrs.Attribute`) name, and the value it got.
+    """
+    return _IsCallableValidator()
+
+
+@attrs(repr=False, slots=True, unsafe_hash=True)
+class _DeepIterable:
+    member_validator = attrib(validator=is_callable())
+    iterable_validator = attrib(
+        default=None, validator=optional(is_callable())
+    )
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if self.iterable_validator is not None:
+            self.iterable_validator(inst, attr, value)
+
+        for member in value:
+            self.member_validator(inst, attr, member)
+
+    def __repr__(self):
+        iterable_identifier = (
+            ""
+            if self.iterable_validator is None
+            else f" {self.iterable_validator!r}"
+        )
+        return (
+            f"<deep_iterable validator for{iterable_identifier}"
+            f" iterables of {self.member_validator!r}>"
+        )
+
+
+def deep_iterable(member_validator, iterable_validator=None):
+    """
+    A validator that performs deep validation of an iterable.
+
+    Args:
+        member_validator: Validator(s) to apply to iterable members.
+
+        iterable_validator:
+            Validator(s) to apply to iterable itself (optional).
+
+    Raises
+        TypeError: if any sub-validators fail
+
+    .. versionadded:: 19.1.0
+
+    .. versionchanged:: 25.4.0
+       *member_validator* and *iterable_validator* can now be a list or tuple
+       of validators.
+    """
+    if isinstance(member_validator, (list, tuple)):
+        member_validator = and_(*member_validator)
+    if isinstance(iterable_validator, (list, tuple)):
+        iterable_validator = and_(*iterable_validator)
+    return _DeepIterable(member_validator, iterable_validator)
+
+
+@attrs(repr=False, slots=True, unsafe_hash=True)
+class _DeepMapping:
+    key_validator = attrib(validator=optional(is_callable()))
+    value_validator = attrib(validator=optional(is_callable()))
+    mapping_validator = attrib(validator=optional(is_callable()))
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if self.mapping_validator is not None:
+            self.mapping_validator(inst, attr, value)
+
+        for key in value:
+            if self.key_validator is not None:
+                self.key_validator(inst, attr, key)
+            if self.value_validator is not None:
+                self.value_validator(inst, attr, value[key])
+
+    def __repr__(self):
+        return f"<deep_mapping validator for objects mapping {self.key_validator!r} to {self.value_validator!r}>"
+
+
+def deep_mapping(
+    key_validator=None, value_validator=None, mapping_validator=None
+):
+    """
+    A validator that performs deep validation of a dictionary.
+
+    All validators are optional, but at least one of *key_validator* or
+    *value_validator* must be provided.
+
+    Args:
+        key_validator: Validator(s) to apply to dictionary keys.
+
+        value_validator: Validator(s) to apply to dictionary values.
+
+        mapping_validator:
+            Validator(s) to apply to top-level mapping attribute.
+
+    .. versionadded:: 19.1.0
+
+    .. versionchanged:: 25.4.0
+       *key_validator* and *value_validator* are now optional, but at least one
+       of them must be provided.
+
+    .. versionchanged:: 25.4.0
+       *key_validator*, *value_validator*, and *mapping_validator* can now be a
+       list or tuple of validators.
+
+    Raises:
+        TypeError: If any sub-validator fails on validation.
+
+        ValueError:
+            If neither *key_validator* nor *value_validator* is provided on
+            instantiation.
+    """
+    if key_validator is None and value_validator is None:
+        msg = (
+            "At least one of key_validator or value_validator must be provided"
+        )
+        raise ValueError(msg)
+
+    if isinstance(key_validator, (list, tuple)):
+        key_validator = and_(*key_validator)
+    if isinstance(value_validator, (list, tuple)):
+        value_validator = and_(*value_validator)
+    if isinstance(mapping_validator, (list, tuple)):
+        mapping_validator = and_(*mapping_validator)
+
+    return _DeepMapping(key_validator, value_validator, mapping_validator)
+
+
+@attrs(repr=False, frozen=True, slots=True)
+class _NumberValidator:
+    bound = attrib()
+    compare_op = attrib()
+    compare_func = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if not self.compare_func(value, self.bound):
+            msg = f"'{attr.name}' must be {self.compare_op} {self.bound}: {value}"
+            raise ValueError(msg)
+
+    def __repr__(self):
+        return f"<Validator for x {self.compare_op} {self.bound}>"
+
+
+def lt(val):
+    """
+    A validator that raises `ValueError` if the initializer is called with a
+    number larger or equal to *val*.
+
+    The validator uses `operator.lt` to compare the values.
+
+    Args:
+        val: Exclusive upper bound for values.
+
+    .. versionadded:: 21.3.0
+    """
+    return _NumberValidator(val, "<", operator.lt)
+
+
+def le(val):
+    """
+    A validator that raises `ValueError` if the initializer is called with a
+    number greater than *val*.
+
+    The validator uses `operator.le` to compare the values.
+
+    Args:
+        val: Inclusive upper bound for values.
+
+    .. versionadded:: 21.3.0
+    """
+    return _NumberValidator(val, "<=", operator.le)
+
+
+def ge(val):
+    """
+    A validator that raises `ValueError` if the initializer is called with a
+    number smaller than *val*.
+
+    The validator uses `operator.ge` to compare the values.
+
+    Args:
+        val: Inclusive lower bound for values
+
+    .. versionadded:: 21.3.0
+    """
+    return _NumberValidator(val, ">=", operator.ge)
+
+
+def gt(val):
+    """
+    A validator that raises `ValueError` if the initializer is called with a
+    number smaller or equal to *val*.
+
+    The validator uses `operator.gt` to compare the values.
+
+    Args:
+       val: Exclusive lower bound for values
+
+    .. versionadded:: 21.3.0
+    """
+    return _NumberValidator(val, ">", operator.gt)
+
+
+@attrs(repr=False, frozen=True, slots=True)
+class _MaxLengthValidator:
+    max_length = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if len(value) > self.max_length:
+            msg = f"Length of '{attr.name}' must be <= {self.max_length}: {len(value)}"
+            raise ValueError(msg)
+
+    def __repr__(self):
+        return f"<max_len validator for {self.max_length}>"
+
+
+def max_len(length):
+    """
+    A validator that raises `ValueError` if the initializer is called
+    with a string or iterable that is longer than *length*.
+
+    Args:
+        length (int): Maximum length of the string or iterable
+
+    .. versionadded:: 21.3.0
+    """
+    return _MaxLengthValidator(length)
+
+
+@attrs(repr=False, frozen=True, slots=True)
+class _MinLengthValidator:
+    min_length = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if len(value) < self.min_length:
+            msg = f"Length of '{attr.name}' must be >= {self.min_length}: {len(value)}"
+            raise ValueError(msg)
+
+    def __repr__(self):
+        return f"<min_len validator for {self.min_length}>"
+
+
+def min_len(length):
+    """
+    A validator that raises `ValueError` if the initializer is called
+    with a string or iterable that is shorter than *length*.
+
+    Args:
+        length (int): Minimum length of the string or iterable
+
+    .. versionadded:: 22.1.0
+    """
+    return _MinLengthValidator(length)
+
+
+@attrs(repr=False, slots=True, unsafe_hash=True)
+class _SubclassOfValidator:
+    type = attrib()
+
+    def __call__(self, inst, attr, value):
+        """
+        We use a callable class to be able to change the ``__repr__``.
+        """
+        if not issubclass(value, self.type):
+            msg = f"'{attr.name}' must be a subclass of {self.type!r} (got {value!r})."
+            raise TypeError(
+                msg,
+                attr,
+                self.type,
+                value,
+            )
+
+    def __repr__(self):
+        return f"<subclass_of validator for type {self.type!r}>"
+
+
+def _subclass_of(type):
+    """
+    A validator that raises a `TypeError` if the initializer is called with a
+    wrong type for this particular attribute (checks are performed using
+    `issubclass` therefore it's also valid to pass a tuple of types).
+
+    Args:
+        type (type | tuple[type, ...]): The type(s) to check for.
+
+    Raises:
+        TypeError:
+            With a human readable error message, the attribute (of type
+            `attrs.Attribute`), the expected type, and the value it got.
+    """
+    return _SubclassOfValidator(type)
+
+
+@attrs(repr=False, slots=True, unsafe_hash=True)
+class _NotValidator:
+    validator = attrib()
+    msg = attrib(
+        converter=default_if_none(
+            "not_ validator child '{validator!r}' "
+            "did not raise a captured error"
+        )
+    )
+    exc_types = attrib(
+        validator=deep_iterable(
+            member_validator=_subclass_of(Exception),
+            iterable_validator=instance_of(tuple),
+        ),
+    )
+
+    def __call__(self, inst, attr, value):
+        try:
+            self.validator(inst, attr, value)
+        except self.exc_types:
+            pass  # suppress error to invert validity
+        else:
+            raise ValueError(
+                self.msg.format(
+                    validator=self.validator,
+                    exc_types=self.exc_types,
+                ),
+                attr,
+                self.validator,
+                value,
+                self.exc_types,
+            )
+
+    def __repr__(self):
+        return f"<not_ validator wrapping {self.validator!r}, capturing {self.exc_types!r}>"
+
+
+def not_(validator, *, msg=None, exc_types=(ValueError, TypeError)):
+    """
+    A validator that wraps and logically 'inverts' the validator passed to it.
+    It will raise a `ValueError` if the provided validator *doesn't* raise a
+    `ValueError` or `TypeError` (by default), and will suppress the exception
+    if the provided validator *does*.
+
+    Intended to be used with existing validators to compose logic without
+    needing to create inverted variants, for example, ``not_(in_(...))``.
+
+    Args:
+        validator: A validator to be logically inverted.
+
+        msg (str):
+            Message to raise if validator fails. Formatted with keys
+            ``exc_types`` and ``validator``.
+
+        exc_types (tuple[type, ...]):
+            Exception type(s) to capture. Other types raised by child
+            validators will not be intercepted and pass through.
+
+    Raises:
+        ValueError:
+            With a human readable error message, the attribute (of type
+            `attrs.Attribute`), the validator that failed to raise an
+            exception, the value it got, and the expected exception types.
+
+    .. versionadded:: 22.2.0
+    """
+    try:
+        exc_types = tuple(exc_types)
+    except TypeError:
+        exc_types = (exc_types,)
+    return _NotValidator(validator, msg, exc_types)
+
+
+@attrs(repr=False, slots=True, unsafe_hash=True)
+class _OrValidator:
+    validators = attrib()
+
+    def __call__(self, inst, attr, value):
+        for v in self.validators:
+            try:
+                v(inst, attr, value)
+            except Exception:  # noqa: BLE001, PERF203, S112
+                continue
+            else:
+                return
+
+        msg = f"None of {self.validators!r} satisfied for value {value!r}"
+        raise ValueError(msg)
+
+    def __repr__(self):
+        return f"<or validator wrapping {self.validators!r}>"
+
+
+def or_(*validators):
+    """
+    A validator that composes multiple validators into one.
+
+    When called on a value, it runs all wrapped validators until one of them is
+    satisfied.
+
+    Args:
+        validators (~collections.abc.Iterable[typing.Callable]):
+            Arbitrary number of validators.
+
+    Raises:
+        ValueError:
+            If no validator is satisfied. Raised with a human-readable error
+            message listing all the wrapped validators and the value that
+            failed all of them.
+
+    .. versionadded:: 24.1.0
+    """
+    vals = []
+    for v in validators:
+        vals.extend(v.validators if isinstance(v, _OrValidator) else [v])
+
+    return _OrValidator(tuple(vals))

py311/lib/python3.11/site-packages/attr/validators.pyi

@@ -0,0 +1,140 @@
+from types import UnionType
+from typing import (
+    Any,
+    AnyStr,
+    Callable,
+    Container,
+    ContextManager,
+    Iterable,
+    Mapping,
+    Match,
+    Pattern,
+    TypeVar,
+    overload,
+)
+
+from attrs import _ValidatorType
+from attrs import _ValidatorArgType
+
+_T = TypeVar("_T")
+_T1 = TypeVar("_T1")
+_T2 = TypeVar("_T2")
+_T3 = TypeVar("_T3")
+_T4 = TypeVar("_T4")
+_T5 = TypeVar("_T5")
+_T6 = TypeVar("_T6")
+_I = TypeVar("_I", bound=Iterable)
+_K = TypeVar("_K")
+_V = TypeVar("_V")
+_M = TypeVar("_M", bound=Mapping)
+
+def set_disabled(run: bool) -> None: ...
+def get_disabled() -> bool: ...
+def disabled() -> ContextManager[None]: ...
+
+# To be more precise on instance_of use some overloads.
+# If there are more than 3 items in the tuple then we fall back to Any
+@overload
+def instance_of(type: type[_T]) -> _ValidatorType[_T]: ...
+@overload
+def instance_of(type: tuple[type[_T]]) -> _ValidatorType[_T]: ...
+@overload
+def instance_of(
+    type: tuple[type[_T1], type[_T2]],
+) -> _ValidatorType[_T1 | _T2]: ...
+@overload
+def instance_of(
+    type: tuple[type[_T1], type[_T2], type[_T3]],
+) -> _ValidatorType[_T1 | _T2 | _T3]: ...
+@overload
+def instance_of(type: tuple[type, ...]) -> _ValidatorType[Any]: ...
+@overload
+def instance_of(type: UnionType) -> _ValidatorType[Any]: ...
+def optional(
+    validator: (
+        _ValidatorType[_T]
+        | list[_ValidatorType[_T]]
+        | tuple[_ValidatorType[_T]]
+    ),
+) -> _ValidatorType[_T | None]: ...
+def in_(options: Container[_T]) -> _ValidatorType[_T]: ...
+def and_(*validators: _ValidatorType[_T]) -> _ValidatorType[_T]: ...
+def matches_re(
+    regex: Pattern[AnyStr] | AnyStr,
+    flags: int = ...,
+    func: Callable[[AnyStr, AnyStr, int], Match[AnyStr] | None] | None = ...,
+) -> _ValidatorType[AnyStr]: ...
+def deep_iterable(
+    member_validator: _ValidatorArgType[_T],
+    iterable_validator: _ValidatorArgType[_I] | None = ...,
+) -> _ValidatorType[_I]: ...
+@overload
+def deep_mapping(
+    key_validator: _ValidatorArgType[_K],
+    value_validator: _ValidatorArgType[_V] | None = ...,
+    mapping_validator: _ValidatorArgType[_M] | None = ...,
+) -> _ValidatorType[_M]: ...
+@overload
+def deep_mapping(
+    key_validator: _ValidatorArgType[_K] | None = ...,
+    value_validator: _ValidatorArgType[_V] = ...,
+    mapping_validator: _ValidatorArgType[_M] | None = ...,
+) -> _ValidatorType[_M]: ...
+def is_callable() -> _ValidatorType[_T]: ...
+def lt(val: _T) -> _ValidatorType[_T]: ...
+def le(val: _T) -> _ValidatorType[_T]: ...
+def ge(val: _T) -> _ValidatorType[_T]: ...
+def gt(val: _T) -> _ValidatorType[_T]: ...
+def max_len(length: int) -> _ValidatorType[_T]: ...
+def min_len(length: int) -> _ValidatorType[_T]: ...
+def not_(
+    validator: _ValidatorType[_T],
+    *,
+    msg: str | None = None,
+    exc_types: type[Exception] | Iterable[type[Exception]] = ...,
+) -> _ValidatorType[_T]: ...
+@overload
+def or_(
+    __v1: _ValidatorType[_T1],
+    __v2: _ValidatorType[_T2],
+) -> _ValidatorType[_T1 | _T2]: ...
+@overload
+def or_(
+    __v1: _ValidatorType[_T1],
+    __v2: _ValidatorType[_T2],
+    __v3: _ValidatorType[_T3],
+) -> _ValidatorType[_T1 | _T2 | _T3]: ...
+@overload
+def or_(
+    __v1: _ValidatorType[_T1],
+    __v2: _ValidatorType[_T2],
+    __v3: _ValidatorType[_T3],
+    __v4: _ValidatorType[_T4],
+) -> _ValidatorType[_T1 | _T2 | _T3 | _T4]: ...
+@overload
+def or_(
+    __v1: _ValidatorType[_T1],
+    __v2: _ValidatorType[_T2],
+    __v3: _ValidatorType[_T3],
+    __v4: _ValidatorType[_T4],
+    __v5: _ValidatorType[_T5],
+) -> _ValidatorType[_T1 | _T2 | _T3 | _T4 | _T5]: ...
+@overload
+def or_(
+    __v1: _ValidatorType[_T1],
+    __v2: _ValidatorType[_T2],
+    __v3: _ValidatorType[_T3],
+    __v4: _ValidatorType[_T4],
+    __v5: _ValidatorType[_T5],
+    __v6: _ValidatorType[_T6],
+) -> _ValidatorType[_T1 | _T2 | _T3 | _T4 | _T5 | _T6]: ...
+@overload
+def or_(
+    __v1: _ValidatorType[Any],
+    __v2: _ValidatorType[Any],
+    __v3: _ValidatorType[Any],
+    __v4: _ValidatorType[Any],
+    __v5: _ValidatorType[Any],
+    __v6: _ValidatorType[Any],
+    *validators: _ValidatorType[Any],
+) -> _ValidatorType[Any]: ...

py311/lib/python3.11/site-packages/attrs-25.4.0.dist-info/INSTALLER

@@ -0,0 +1 @@
+uv

py311/lib/python3.11/site-packages/attrs-25.4.0.dist-info/METADATA

@@ -0,0 +1,235 @@
+Metadata-Version: 2.4
+Name: attrs
+Version: 25.4.0
+Summary: Classes Without Boilerplate
+Project-URL: Documentation, https://www.attrs.org/
+Project-URL: Changelog, https://www.attrs.org/en/stable/changelog.html
+Project-URL: GitHub, https://github.com/python-attrs/attrs
+Project-URL: Funding, https://github.com/sponsors/hynek
+Project-URL: Tidelift, https://tidelift.com/subscription/pkg/pypi-attrs?utm_source=pypi-attrs&utm_medium=pypi
+Author-email: Hynek Schlawack <hs@ox.cx>
+License-Expression: MIT
+License-File: LICENSE
+Keywords: attribute,boilerplate,class
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Classifier: Programming Language :: Python :: 3.14
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Typing :: Typed
+Requires-Python: >=3.9
+Description-Content-Type: text/markdown
+
+<p align="center">
+  <a href="https://www.attrs.org/">
+    <img src="https://raw.githubusercontent.com/python-attrs/attrs/main/docs/_static/attrs_logo.svg" width="35%" alt="attrs" />
+  </a>
+</p>
+
+
+*attrs* is the Python package that will bring back the **joy** of **writing classes** by relieving you from the drudgery of implementing object protocols (aka [dunder methods](https://www.attrs.org/en/latest/glossary.html#term-dunder-methods)).
+Trusted by NASA for [Mars missions since 2020](https://github.com/readme/featured/nasa-ingenuity-helicopter)!
+
+Its main goal is to help you to write **concise** and **correct** software without slowing down your code.
+
+
+## Sponsors
+
+*attrs* would not be possible without our [amazing sponsors](https://github.com/sponsors/hynek).
+Especially those generously supporting us at the *The Organization* tier and higher:
+
+<!-- sponsor-break-begin -->
+
+<p align="center">
+
+<!-- [[[cog
+import pathlib, tomllib
+
+for sponsor in tomllib.loads(pathlib.Path("pyproject.toml").read_text())["tool"]["sponcon"]["sponsors"]:
+      print(f'<a href="{sponsor["url"]}"><img title="{sponsor["title"]}" src="https://www.attrs.org/en/25.4.0/_static/sponsors/{sponsor["img"]}" width="190" /></a>')
+]]] -->
+<a href="https://www.variomedia.de/"><img title="Variomedia AG" src="https://www.attrs.org/en/25.4.0/_static/sponsors/Variomedia.svg" width="190" /></a>
+<a href="https://tidelift.com/?utm_source=lifter&utm_medium=referral&utm_campaign=hynek"><img title="Tidelift" src="https://www.attrs.org/en/25.4.0/_static/sponsors/Tidelift.svg" width="190" /></a>
+<a href="https://privacy-solutions.org/"><img title="Privacy Solutions" src="https://www.attrs.org/en/25.4.0/_static/sponsors/Privacy-Solutions.svg" width="190" /></a>
+<a href="https://filepreviews.io/"><img title="FilePreviews" src="https://www.attrs.org/en/25.4.0/_static/sponsors/FilePreviews.svg" width="190" /></a>
+<a href="https://polar.sh/"><img title="Polar" src="https://www.attrs.org/en/25.4.0/_static/sponsors/Polar.svg" width="190" /></a>
+<!-- [[[end]]] -->
+
+</p>
+
+<!-- sponsor-break-end -->
+
+<p align="center">
+   <strong>Please consider <a href="https://github.com/sponsors/hynek">joining them</a> to help make <em>attrs</em>’s maintenance more sustainable!</strong>
+</p>
+
+<!-- teaser-end -->
+
+## Example
+
+*attrs* gives you a class decorator and a way to declaratively define the attributes on that class:
+
+<!-- code-begin -->
+
+```pycon
+>>> from attrs import asdict, define, make_class, Factory
+
+>>> @define
+... class SomeClass:
+...     a_number: int = 42
+...     list_of_numbers: list[int] = Factory(list)
+...
+...     def hard_math(self, another_number):
+...         return self.a_number + sum(self.list_of_numbers) * another_number
+
+
+>>> sc = SomeClass(1, [1, 2, 3])
+>>> sc
+SomeClass(a_number=1, list_of_numbers=[1, 2, 3])
+
+>>> sc.hard_math(3)
+19
+>>> sc == SomeClass(1, [1, 2, 3])
+True
+>>> sc != SomeClass(2, [3, 2, 1])
+True
+
+>>> asdict(sc)
+{'a_number': 1, 'list_of_numbers': [1, 2, 3]}
+
+>>> SomeClass()
+SomeClass(a_number=42, list_of_numbers=[])
+
+>>> C = make_class("C", ["a", "b"])
+>>> C("foo", "bar")
+C(a='foo', b='bar')
+```
+
+After *declaring* your attributes, *attrs* gives you:
+
+- a concise and explicit overview of the class's attributes,
+- a nice human-readable `__repr__`,
+- equality-checking methods,
+- an initializer,
+- and much more,
+
+*without* writing dull boilerplate code again and again and *without* runtime performance penalties.
+
+---
+
+This example uses *attrs*'s modern APIs that have been introduced in version 20.1.0, and the *attrs* package import name that has been added in version 21.3.0.
+The classic APIs (`@attr.s`, `attr.ib`, plus their serious-business aliases) and the `attr` package import name will remain **indefinitely**.
+
+Check out [*On The Core API Names*](https://www.attrs.org/en/latest/names.html) for an in-depth explanation!
+
+
+### Hate Type Annotations!?
+
+No problem!
+Types are entirely **optional** with *attrs*.
+Simply assign `attrs.field()` to the attributes instead of annotating them with types:
+
+```python
+from attrs import define, field
+
+@define
+class SomeClass:
+    a_number = field(default=42)
+    list_of_numbers = field(factory=list)
+```
+
+
+## Data Classes
+
+On the tin, *attrs* might remind you of `dataclasses` (and indeed, `dataclasses` [are a descendant](https://hynek.me/articles/import-attrs/) of *attrs*).
+In practice it does a lot more and is more flexible.
+For instance, it allows you to define [special handling of NumPy arrays for equality checks](https://www.attrs.org/en/stable/comparison.html#customization), allows more ways to [plug into the initialization process](https://www.attrs.org/en/stable/init.html#hooking-yourself-into-initialization), has a replacement for `__init_subclass__`, and allows for stepping through the generated methods using a debugger.
+
+For more details, please refer to our [comparison page](https://www.attrs.org/en/stable/why.html#data-classes), but generally speaking, we are more likely to commit crimes against nature to make things work that one would expect to work, but that are quite complicated in practice.
+
+
+## Project Information
+
+- [**Changelog**](https://www.attrs.org/en/stable/changelog.html)
+- [**Documentation**](https://www.attrs.org/)
+- [**PyPI**](https://pypi.org/project/attrs/)
+- [**Source Code**](https://github.com/python-attrs/attrs)
+- [**Contributing**](https://github.com/python-attrs/attrs/blob/main/.github/CONTRIBUTING.md)
+- [**Third-party Extensions**](https://github.com/python-attrs/attrs/wiki/Extensions-to-attrs)
+- **Get Help**: use the `python-attrs` tag on [Stack Overflow](https://stackoverflow.com/questions/tagged/python-attrs)
+
+
+### *attrs* for Enterprise
+
+Available as part of the [Tidelift Subscription](https://tidelift.com/?utm_source=lifter&utm_medium=referral&utm_campaign=hynek).
+
+The maintainers of *attrs* and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source packages you use to build your applications.
+Save time, reduce risk, and improve code health, while paying the maintainers of the exact packages you use.
+
+## Release Information
+
+### Backwards-incompatible Changes
+
+- Class-level `kw_only=True` behavior is now consistent with `dataclasses`.
+
+  Previously, a class that sets `kw_only=True` makes all attributes keyword-only, including those from base classes.
+  If an attribute sets `kw_only=False`, that setting is ignored, and it is still made keyword-only.
+
+  Now, only the attributes defined in that class that doesn't explicitly set `kw_only=False` are made keyword-only.
+
+  This shouldn't be a problem for most users, unless you have a pattern like this:
+
+  ```python
+  @attrs.define(kw_only=True)
+  class Base:
+      a: int
+      b: int = attrs.field(default=1, kw_only=False)
+
+  @attrs.define
+  class Subclass(Base):
+      c: int
+  ```
+
+  Here, we have a `kw_only=True` *attrs* class (`Base`) with an attribute that sets `kw_only=False` and has a default (`Base.b`), and then create a subclass (`Subclass`) with required arguments (`Subclass.c`).
+  Previously this would work, since it would make `Base.b` keyword-only, but now this fails since `Base.b` is positional, and we have a required positional argument (`Subclass.c`) following another argument with defaults.
+  [#1457](https://github.com/python-attrs/attrs/issues/1457)
+
+
+### Changes
+
+- Values passed to the `__init__()` method of `attrs` classes are now correctly passed to `__attrs_pre_init__()` instead of their default values (in cases where *kw_only* was not specified).
+  [#1427](https://github.com/python-attrs/attrs/issues/1427)
+- Added support for Python 3.14 and [PEP 749](https://peps.python.org/pep-0749/).
+  [#1446](https://github.com/python-attrs/attrs/issues/1446),
+  [#1451](https://github.com/python-attrs/attrs/issues/1451)
+- `attrs.validators.deep_mapping()` now allows to leave out either *key_validator* xor *value_validator*.
+  [#1448](https://github.com/python-attrs/attrs/issues/1448)
+- `attrs.validators.deep_iterator()` and `attrs.validators.deep_mapping()` now accept lists and tuples for all validators and wrap them into a `attrs.validators.and_()`.
+  [#1449](https://github.com/python-attrs/attrs/issues/1449)
+- Added a new **experimental** way to inspect classes:
+
+  `attrs.inspect(cls)` returns the _effective_ class-wide parameters that were used by *attrs* to construct the class.
+
+  The returned class is the same data structure that *attrs* uses internally to decide how to construct the final class.
+  [#1454](https://github.com/python-attrs/attrs/issues/1454)
+- Fixed annotations for `attrs.field(converter=...)`.
+  Previously, a `tuple` of converters was only accepted if it had exactly one element.
+  [#1461](https://github.com/python-attrs/attrs/issues/1461)
+- The performance of `attrs.asdict()` has been improved by 45��260%.
+  [#1463](https://github.com/python-attrs/attrs/issues/1463)
+- The performance of `attrs.astuple()` has been improved by 49–270%.
+  [#1469](https://github.com/python-attrs/attrs/issues/1469)
+- The type annotation for `attrs.validators.or_()` now allows for different types of validators.
+
+  This was only an issue on Pyright.
+  [#1474](https://github.com/python-attrs/attrs/issues/1474)
+
+
+
+---
+
+[Full changelog →](https://www.attrs.org/en/stable/changelog.html)

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