up follow livre

venv/lib/python3.13/site-packages/matplotlib/__init__.pyi

@@ -0,0 +1,124 @@
+__all__ = [
+    "__bibtex__",
+    "__version__",
+    "__version_info__",
+    "set_loglevel",
+    "ExecutableNotFoundError",
+    "get_configdir",
+    "get_cachedir",
+    "get_data_path",
+    "matplotlib_fname",
+    "MatplotlibDeprecationWarning",
+    "RcParams",
+    "rc_params",
+    "rc_params_from_file",
+    "rcParamsDefault",
+    "rcParams",
+    "rcParamsOrig",
+    "defaultParams",
+    "rc",
+    "rcdefaults",
+    "rc_file_defaults",
+    "rc_file",
+    "rc_context",
+    "use",
+    "get_backend",
+    "interactive",
+    "is_interactive",
+    "colormaps",
+    "color_sequences",
+]
+
+import os
+from pathlib import Path
+
+from collections.abc import Callable, Generator
+import contextlib
+from packaging.version import Version
+
+from matplotlib._api import MatplotlibDeprecationWarning
+from typing import Any, Literal, NamedTuple, overload
+
+class _VersionInfo(NamedTuple):
+    major: int
+    minor: int
+    micro: int
+    releaselevel: str
+    serial: int
+
+__bibtex__: str
+__version__: str
+__version_info__: _VersionInfo
+
+def set_loglevel(level: str) -> None: ...
+
+class _ExecInfo(NamedTuple):
+    executable: str
+    raw_version: str
+    version: Version
+
+class ExecutableNotFoundError(FileNotFoundError): ...
+
+def _get_executable_info(name: str) -> _ExecInfo: ...
+def get_configdir() -> str: ...
+def get_cachedir() -> str: ...
+def get_data_path() -> str: ...
+def matplotlib_fname() -> str: ...
+
+class RcParams(dict[str, Any]):
+    validate: dict[str, Callable]
+    def __init__(self, *args, **kwargs) -> None: ...
+    def _set(self, key: str, val: Any) -> None: ...
+    def _get(self, key: str) -> Any: ...
+
+    def _update_raw(self, other_params: dict | RcParams) -> None: ...
+
+    def _ensure_has_backend(self) -> None: ...
+    def __setitem__(self, key: str, val: Any) -> None: ...
+    def __getitem__(self, key: str) -> Any: ...
+    def __iter__(self) -> Generator[str, None, None]: ...
+    def __len__(self) -> int: ...
+    def find_all(self, pattern: str) -> RcParams: ...
+    def copy(self) -> RcParams: ...
+
+def rc_params(fail_on_error: bool = ...) -> RcParams: ...
+def rc_params_from_file(
+    fname: str | Path | os.PathLike,
+    fail_on_error: bool = ...,
+    use_default_template: bool = ...,
+) -> RcParams: ...
+
+rcParamsDefault: RcParams
+rcParams: RcParams
+rcParamsOrig: RcParams
+defaultParams: dict[str, Any]
+
+def rc(group: str, **kwargs) -> None: ...
+def rcdefaults() -> None: ...
+def rc_file_defaults() -> None: ...
+def rc_file(
+    fname: str | Path | os.PathLike, *, use_default_template: bool = ...
+) -> None: ...
+@contextlib.contextmanager
+def rc_context(
+    rc: dict[str, Any] | None = ..., fname: str | Path | os.PathLike | None = ...
+) -> Generator[None, None, None]: ...
+def use(backend: str, *, force: bool = ...) -> None: ...
+@overload
+def get_backend(*, auto_select: Literal[True] = True) -> str: ...
+@overload
+def get_backend(*, auto_select: Literal[False]) -> str | None: ...
+def interactive(b: bool) -> None: ...
+def is_interactive() -> bool: ...
+
+def _preprocess_data(
+    func: Callable | None = ...,
+    *,
+    replace_names: list[str] | None = ...,
+    label_namer: str | None = ...
+) -> Callable: ...
+
+from matplotlib.cm import _colormaps as colormaps  # noqa: E402
+from matplotlib.cm import _multivar_colormaps as multivar_colormaps  # noqa: E402
+from matplotlib.cm import _bivar_colormaps as bivar_colormaps  # noqa: E402
+from matplotlib.colors import _color_sequences as color_sequences  # noqa: E402

venv/lib/python3.13/site-packages/matplotlib/_afm.py

@@ -0,0 +1,532 @@
+"""
+A python interface to Adobe Font Metrics Files.
+
+Although a number of other Python implementations exist, and may be more
+complete than this, it was decided not to go with them because they were
+either:
+
+1) copyrighted or used a non-BSD compatible license
+2) had too many dependencies and a free standing lib was needed
+3) did more than needed and it was easier to write afresh rather than
+   figure out how to get just what was needed.
+
+It is pretty easy to use, and has no external dependencies:
+
+>>> import matplotlib as mpl
+>>> from pathlib import Path
+>>> afm_path = Path(mpl.get_data_path(), 'fonts', 'afm', 'ptmr8a.afm')
+>>>
+>>> from matplotlib.afm import AFM
+>>> with afm_path.open('rb') as fh:
+...     afm = AFM(fh)
+>>> afm.string_width_height('What the heck?')
+(6220.0, 694)
+>>> afm.get_fontname()
+'Times-Roman'
+>>> afm.get_kern_dist('A', 'f')
+0
+>>> afm.get_kern_dist('A', 'y')
+-92.0
+>>> afm.get_bbox_char('!')
+[130, -9, 238, 676]
+
+As in the Adobe Font Metrics File Format Specification, all dimensions
+are given in units of 1/1000 of the scale factor (point size) of the font
+being used.
+"""
+
+from collections import namedtuple
+import logging
+import re
+
+from ._mathtext_data import uni2type1
+
+
+_log = logging.getLogger(__name__)
+
+
+def _to_int(x):
+    # Some AFM files have floats where we are expecting ints -- there is
+    # probably a better way to handle this (support floats, round rather than
+    # truncate).  But I don't know what the best approach is now and this
+    # change to _to_int should at least prevent Matplotlib from crashing on
+    # these.  JDH (2009-11-06)
+    return int(float(x))
+
+
+def _to_float(x):
+    # Some AFM files use "," instead of "." as decimal separator -- this
+    # shouldn't be ambiguous (unless someone is wicked enough to use "," as
+    # thousands separator...).
+    if isinstance(x, bytes):
+        # Encoding doesn't really matter -- if we have codepoints >127 the call
+        # to float() will error anyways.
+        x = x.decode('latin-1')
+    return float(x.replace(',', '.'))
+
+
+def _to_str(x):
+    return x.decode('utf8')
+
+
+def _to_list_of_ints(s):
+    s = s.replace(b',', b' ')
+    return [_to_int(val) for val in s.split()]
+
+
+def _to_list_of_floats(s):
+    return [_to_float(val) for val in s.split()]
+
+
+def _to_bool(s):
+    if s.lower().strip() in (b'false', b'0', b'no'):
+        return False
+    else:
+        return True
+
+
+def _parse_header(fh):
+    """
+    Read the font metrics header (up to the char metrics) and returns
+    a dictionary mapping *key* to *val*.  *val* will be converted to the
+    appropriate python type as necessary; e.g.:
+
+        * 'False'->False
+        * '0'->0
+        * '-168 -218 1000 898'-> [-168, -218, 1000, 898]
+
+    Dictionary keys are
+
+      StartFontMetrics, FontName, FullName, FamilyName, Weight,
+      ItalicAngle, IsFixedPitch, FontBBox, UnderlinePosition,
+      UnderlineThickness, Version, Notice, EncodingScheme, CapHeight,
+      XHeight, Ascender, Descender, StartCharMetrics
+    """
+    header_converters = {
+        b'StartFontMetrics': _to_float,
+        b'FontName': _to_str,
+        b'FullName': _to_str,
+        b'FamilyName': _to_str,
+        b'Weight': _to_str,
+        b'ItalicAngle': _to_float,
+        b'IsFixedPitch': _to_bool,
+        b'FontBBox': _to_list_of_ints,
+        b'UnderlinePosition': _to_float,
+        b'UnderlineThickness': _to_float,
+        b'Version': _to_str,
+        # Some AFM files have non-ASCII characters (which are not allowed by
+        # the spec).  Given that there is actually no public API to even access
+        # this field, just return it as straight bytes.
+        b'Notice': lambda x: x,
+        b'EncodingScheme': _to_str,
+        b'CapHeight': _to_float,  # Is the second version a mistake, or
+        b'Capheight': _to_float,  # do some AFM files contain 'Capheight'? -JKS
+        b'XHeight': _to_float,
+        b'Ascender': _to_float,
+        b'Descender': _to_float,
+        b'StdHW': _to_float,
+        b'StdVW': _to_float,
+        b'StartCharMetrics': _to_int,
+        b'CharacterSet': _to_str,
+        b'Characters': _to_int,
+    }
+    d = {}
+    first_line = True
+    for line in fh:
+        line = line.rstrip()
+        if line.startswith(b'Comment'):
+            continue
+        lst = line.split(b' ', 1)
+        key = lst[0]
+        if first_line:
+            # AFM spec, Section 4: The StartFontMetrics keyword
+            # [followed by a version number] must be the first line in
+            # the file, and the EndFontMetrics keyword must be the
+            # last non-empty line in the file.  We just check the
+            # first header entry.
+            if key != b'StartFontMetrics':
+                raise RuntimeError('Not an AFM file')
+            first_line = False
+        if len(lst) == 2:
+            val = lst[1]
+        else:
+            val = b''
+        try:
+            converter = header_converters[key]
+        except KeyError:
+            _log.error("Found an unknown keyword in AFM header (was %r)", key)
+            continue
+        try:
+            d[key] = converter(val)
+        except ValueError:
+            _log.error('Value error parsing header in AFM: %s, %s', key, val)
+            continue
+        if key == b'StartCharMetrics':
+            break
+    else:
+        raise RuntimeError('Bad parse')
+    return d
+
+
+CharMetrics = namedtuple('CharMetrics', 'width, name, bbox')
+CharMetrics.__doc__ = """
+    Represents the character metrics of a single character.
+
+    Notes
+    -----
+    The fields do currently only describe a subset of character metrics
+    information defined in the AFM standard.
+    """
+CharMetrics.width.__doc__ = """The character width (WX)."""
+CharMetrics.name.__doc__ = """The character name (N)."""
+CharMetrics.bbox.__doc__ = """
+    The bbox of the character (B) as a tuple (*llx*, *lly*, *urx*, *ury*)."""
+
+
+def _parse_char_metrics(fh):
+    """
+    Parse the given filehandle for character metrics information and return
+    the information as dicts.
+
+    It is assumed that the file cursor is on the line behind
+    'StartCharMetrics'.
+
+    Returns
+    -------
+    ascii_d : dict
+         A mapping "ASCII num of the character" to `.CharMetrics`.
+    name_d : dict
+         A mapping "character name" to `.CharMetrics`.
+
+    Notes
+    -----
+    This function is incomplete per the standard, but thus far parses
+    all the sample afm files tried.
+    """
+    required_keys = {'C', 'WX', 'N', 'B'}
+
+    ascii_d = {}
+    name_d = {}
+    for line in fh:
+        # We are defensively letting values be utf8. The spec requires
+        # ascii, but there are non-compliant fonts in circulation
+        line = _to_str(line.rstrip())  # Convert from byte-literal
+        if line.startswith('EndCharMetrics'):
+            return ascii_d, name_d
+        # Split the metric line into a dictionary, keyed by metric identifiers
+        vals = dict(s.strip().split(' ', 1) for s in line.split(';') if s)
+        # There may be other metrics present, but only these are needed
+        if not required_keys.issubset(vals):
+            raise RuntimeError('Bad char metrics line: %s' % line)
+        num = _to_int(vals['C'])
+        wx = _to_float(vals['WX'])
+        name = vals['N']
+        bbox = _to_list_of_floats(vals['B'])
+        bbox = list(map(int, bbox))
+        metrics = CharMetrics(wx, name, bbox)
+        # Workaround: If the character name is 'Euro', give it the
+        # corresponding character code, according to WinAnsiEncoding (see PDF
+        # Reference).
+        if name == 'Euro':
+            num = 128
+        elif name == 'minus':
+            num = ord("\N{MINUS SIGN}")  # 0x2212
+        if num != -1:
+            ascii_d[num] = metrics
+        name_d[name] = metrics
+    raise RuntimeError('Bad parse')
+
+
+def _parse_kern_pairs(fh):
+    """
+    Return a kern pairs dictionary; keys are (*char1*, *char2*) tuples and
+    values are the kern pair value.  For example, a kern pairs line like
+    ``KPX A y -50``
+
+    will be represented as::
+
+      d[ ('A', 'y') ] = -50
+
+    """
+
+    line = next(fh)
+    if not line.startswith(b'StartKernPairs'):
+        raise RuntimeError('Bad start of kern pairs data: %s' % line)
+
+    d = {}
+    for line in fh:
+        line = line.rstrip()
+        if not line:
+            continue
+        if line.startswith(b'EndKernPairs'):
+            next(fh)  # EndKernData
+            return d
+        vals = line.split()
+        if len(vals) != 4 or vals[0] != b'KPX':
+            raise RuntimeError('Bad kern pairs line: %s' % line)
+        c1, c2, val = _to_str(vals[1]), _to_str(vals[2]), _to_float(vals[3])
+        d[(c1, c2)] = val
+    raise RuntimeError('Bad kern pairs parse')
+
+
+CompositePart = namedtuple('CompositePart', 'name, dx, dy')
+CompositePart.__doc__ = """
+    Represents the information on a composite element of a composite char."""
+CompositePart.name.__doc__ = """Name of the part, e.g. 'acute'."""
+CompositePart.dx.__doc__ = """x-displacement of the part from the origin."""
+CompositePart.dy.__doc__ = """y-displacement of the part from the origin."""
+
+
+def _parse_composites(fh):
+    """
+    Parse the given filehandle for composites information return them as a
+    dict.
+
+    It is assumed that the file cursor is on the line behind 'StartComposites'.
+
+    Returns
+    -------
+    dict
+        A dict mapping composite character names to a parts list. The parts
+        list is a list of `.CompositePart` entries describing the parts of
+        the composite.
+
+    Examples
+    --------
+    A composite definition line::
+
+      CC Aacute 2 ; PCC A 0 0 ; PCC acute 160 170 ;
+
+    will be represented as::
+
+      composites['Aacute'] = [CompositePart(name='A', dx=0, dy=0),
+                              CompositePart(name='acute', dx=160, dy=170)]
+
+    """
+    composites = {}
+    for line in fh:
+        line = line.rstrip()
+        if not line:
+            continue
+        if line.startswith(b'EndComposites'):
+            return composites
+        vals = line.split(b';')
+        cc = vals[0].split()
+        name, _num_parts = cc[1], _to_int(cc[2])
+        pccParts = []
+        for s in vals[1:-1]:
+            pcc = s.split()
+            part = CompositePart(pcc[1], _to_float(pcc[2]), _to_float(pcc[3]))
+            pccParts.append(part)
+        composites[name] = pccParts
+
+    raise RuntimeError('Bad composites parse')
+
+
+def _parse_optional(fh):
+    """
+    Parse the optional fields for kern pair data and composites.
+
+    Returns
+    -------
+    kern_data : dict
+        A dict containing kerning information. May be empty.
+        See `._parse_kern_pairs`.
+    composites : dict
+        A dict containing composite information. May be empty.
+        See `._parse_composites`.
+    """
+    optional = {
+        b'StartKernData': _parse_kern_pairs,
+        b'StartComposites':  _parse_composites,
+        }
+
+    d = {b'StartKernData': {},
+         b'StartComposites': {}}
+    for line in fh:
+        line = line.rstrip()
+        if not line:
+            continue
+        key = line.split()[0]
+
+        if key in optional:
+            d[key] = optional[key](fh)
+
+    return d[b'StartKernData'], d[b'StartComposites']
+
+
+class AFM:
+
+    def __init__(self, fh):
+        """Parse the AFM file in file object *fh*."""
+        self._header = _parse_header(fh)
+        self._metrics, self._metrics_by_name = _parse_char_metrics(fh)
+        self._kern, self._composite = _parse_optional(fh)
+
+    def get_bbox_char(self, c, isord=False):
+        if not isord:
+            c = ord(c)
+        return self._metrics[c].bbox
+
+    def string_width_height(self, s):
+        """
+        Return the string width (including kerning) and string height
+        as a (*w*, *h*) tuple.
+        """
+        if not len(s):
+            return 0, 0
+        total_width = 0
+        namelast = None
+        miny = 1e9
+        maxy = 0
+        for c in s:
+            if c == '\n':
+                continue
+            wx, name, bbox = self._metrics[ord(c)]
+
+            total_width += wx + self._kern.get((namelast, name), 0)
+            l, b, w, h = bbox
+            miny = min(miny, b)
+            maxy = max(maxy, b + h)
+
+            namelast = name
+
+        return total_width, maxy - miny
+
+    def get_str_bbox_and_descent(self, s):
+        """Return the string bounding box and the maximal descent."""
+        if not len(s):
+            return 0, 0, 0, 0, 0
+        total_width = 0
+        namelast = None
+        miny = 1e9
+        maxy = 0
+        left = 0
+        if not isinstance(s, str):
+            s = _to_str(s)
+        for c in s:
+            if c == '\n':
+                continue
+            name = uni2type1.get(ord(c), f"uni{ord(c):04X}")
+            try:
+                wx, _, bbox = self._metrics_by_name[name]
+            except KeyError:
+                name = 'question'
+                wx, _, bbox = self._metrics_by_name[name]
+            total_width += wx + self._kern.get((namelast, name), 0)
+            l, b, w, h = bbox
+            left = min(left, l)
+            miny = min(miny, b)
+            maxy = max(maxy, b + h)
+
+            namelast = name
+
+        return left, miny, total_width, maxy - miny, -miny
+
+    def get_str_bbox(self, s):
+        """Return the string bounding box."""
+        return self.get_str_bbox_and_descent(s)[:4]
+
+    def get_name_char(self, c, isord=False):
+        """Get the name of the character, i.e., ';' is 'semicolon'."""
+        if not isord:
+            c = ord(c)
+        return self._metrics[c].name
+
+    def get_width_char(self, c, isord=False):
+        """
+        Get the width of the character from the character metric WX field.
+        """
+        if not isord:
+            c = ord(c)
+        return self._metrics[c].width
+
+    def get_width_from_char_name(self, name):
+        """Get the width of the character from a type1 character name."""
+        return self._metrics_by_name[name].width
+
+    def get_height_char(self, c, isord=False):
+        """Get the bounding box (ink) height of character *c* (space is 0)."""
+        if not isord:
+            c = ord(c)
+        return self._metrics[c].bbox[-1]
+
+    def get_kern_dist(self, c1, c2):
+        """
+        Return the kerning pair distance (possibly 0) for chars *c1* and *c2*.
+        """
+        name1, name2 = self.get_name_char(c1), self.get_name_char(c2)
+        return self.get_kern_dist_from_name(name1, name2)
+
+    def get_kern_dist_from_name(self, name1, name2):
+        """
+        Return the kerning pair distance (possibly 0) for chars
+        *name1* and *name2*.
+        """
+        return self._kern.get((name1, name2), 0)
+
+    def get_fontname(self):
+        """Return the font name, e.g., 'Times-Roman'."""
+        return self._header[b'FontName']
+
+    @property
+    def postscript_name(self):  # For consistency with FT2Font.
+        return self.get_fontname()
+
+    def get_fullname(self):
+        """Return the font full name, e.g., 'Times-Roman'."""
+        name = self._header.get(b'FullName')
+        if name is None:  # use FontName as a substitute
+            name = self._header[b'FontName']
+        return name
+
+    def get_familyname(self):
+        """Return the font family name, e.g., 'Times'."""
+        name = self._header.get(b'FamilyName')
+        if name is not None:
+            return name
+
+        # FamilyName not specified so we'll make a guess
+        name = self.get_fullname()
+        extras = (r'(?i)([ -](regular|plain|italic|oblique|bold|semibold|'
+                  r'light|ultralight|extra|condensed))+$')
+        return re.sub(extras, '', name)
+
+    @property
+    def family_name(self):
+        """The font family name, e.g., 'Times'."""
+        return self.get_familyname()
+
+    def get_weight(self):
+        """Return the font weight, e.g., 'Bold' or 'Roman'."""
+        return self._header[b'Weight']
+
+    def get_angle(self):
+        """Return the fontangle as float."""
+        return self._header[b'ItalicAngle']
+
+    def get_capheight(self):
+        """Return the cap height as float."""
+        return self._header[b'CapHeight']
+
+    def get_xheight(self):
+        """Return the xheight as float."""
+        return self._header[b'XHeight']
+
+    def get_underline_thickness(self):
+        """Return the underline thickness as float."""
+        return self._header[b'UnderlineThickness']
+
+    def get_horizontal_stem_width(self):
+        """
+        Return the standard horizontal stem width as float, or *None* if
+        not specified in AFM file.
+        """
+        return self._header.get(b'StdHW', None)
+
+    def get_vertical_stem_width(self):
+        """
+        Return the standard vertical stem width as float, or *None* if
+        not specified in AFM file.
+        """
+        return self._header.get(b'StdVW', None)

venv/lib/python3.13/site-packages/matplotlib/_animation_data.py

@@ -0,0 +1,262 @@
+# JavaScript template for HTMLWriter
+JS_INCLUDE = """
+<link rel="stylesheet"
+href="https://maxcdn.bootstrapcdn.com/font-awesome/4.4.0/css/font-awesome.min.css">
+<script language="javascript">
+  function isInternetExplorer() {
+    ua = navigator.userAgent;
+    /* MSIE used to detect old browsers and Trident used to newer ones*/
+    return ua.indexOf("MSIE ") > -1 || ua.indexOf("Trident/") > -1;
+  }
+
+  /* Define the Animation class */
+  function Animation(frames, img_id, slider_id, interval, loop_select_id){
+    this.img_id = img_id;
+    this.slider_id = slider_id;
+    this.loop_select_id = loop_select_id;
+    this.interval = interval;
+    this.current_frame = 0;
+    this.direction = 0;
+    this.timer = null;
+    this.frames = new Array(frames.length);
+
+    for (var i=0; i<frames.length; i++)
+    {
+     this.frames[i] = new Image();
+     this.frames[i].src = frames[i];
+    }
+    var slider = document.getElementById(this.slider_id);
+    slider.max = this.frames.length - 1;
+    if (isInternetExplorer()) {
+        // switch from oninput to onchange because IE <= 11 does not conform
+        // with W3C specification. It ignores oninput and onchange behaves
+        // like oninput. In contrast, Microsoft Edge behaves correctly.
+        slider.setAttribute('onchange', slider.getAttribute('oninput'));
+        slider.setAttribute('oninput', null);
+    }
+    this.set_frame(this.current_frame);
+  }
+
+  Animation.prototype.get_loop_state = function(){
+    var button_group = document[this.loop_select_id].state;
+    for (var i = 0; i < button_group.length; i++) {
+        var button = button_group[i];
+        if (button.checked) {
+            return button.value;
+        }
+    }
+    return undefined;
+  }
+
+  Animation.prototype.set_frame = function(frame){
+    this.current_frame = frame;
+    document.getElementById(this.img_id).src =
+            this.frames[this.current_frame].src;
+    document.getElementById(this.slider_id).value = this.current_frame;
+  }
+
+  Animation.prototype.next_frame = function()
+  {
+    this.set_frame(Math.min(this.frames.length - 1, this.current_frame + 1));
+  }
+
+  Animation.prototype.previous_frame = function()
+  {
+    this.set_frame(Math.max(0, this.current_frame - 1));
+  }
+
+  Animation.prototype.first_frame = function()
+  {
+    this.set_frame(0);
+  }
+
+  Animation.prototype.last_frame = function()
+  {
+    this.set_frame(this.frames.length - 1);
+  }
+
+  Animation.prototype.slower = function()
+  {
+    this.interval /= 0.7;
+    if(this.direction > 0){this.play_animation();}
+    else if(this.direction < 0){this.reverse_animation();}
+  }
+
+  Animation.prototype.faster = function()
+  {
+    this.interval *= 0.7;
+    if(this.direction > 0){this.play_animation();}
+    else if(this.direction < 0){this.reverse_animation();}
+  }
+
+  Animation.prototype.anim_step_forward = function()
+  {
+    this.current_frame += 1;
+    if(this.current_frame < this.frames.length){
+      this.set_frame(this.current_frame);
+    }else{
+      var loop_state = this.get_loop_state();
+      if(loop_state == "loop"){
+        this.first_frame();
+      }else if(loop_state == "reflect"){
+        this.last_frame();
+        this.reverse_animation();
+      }else{
+        this.pause_animation();
+        this.last_frame();
+      }
+    }
+  }
+
+  Animation.prototype.anim_step_reverse = function()
+  {
+    this.current_frame -= 1;
+    if(this.current_frame >= 0){
+      this.set_frame(this.current_frame);
+    }else{
+      var loop_state = this.get_loop_state();
+      if(loop_state == "loop"){
+        this.last_frame();
+      }else if(loop_state == "reflect"){
+        this.first_frame();
+        this.play_animation();
+      }else{
+        this.pause_animation();
+        this.first_frame();
+      }
+    }
+  }
+
+  Animation.prototype.pause_animation = function()
+  {
+    this.direction = 0;
+    if (this.timer){
+      clearInterval(this.timer);
+      this.timer = null;
+    }
+  }
+
+  Animation.prototype.play_animation = function()
+  {
+    this.pause_animation();
+    this.direction = 1;
+    var t = this;
+    if (!this.timer) this.timer = setInterval(function() {
+        t.anim_step_forward();
+    }, this.interval);
+  }
+
+  Animation.prototype.reverse_animation = function()
+  {
+    this.pause_animation();
+    this.direction = -1;
+    var t = this;
+    if (!this.timer) this.timer = setInterval(function() {
+        t.anim_step_reverse();
+    }, this.interval);
+  }
+</script>
+"""
+
+
+# Style definitions for the HTML template
+STYLE_INCLUDE = """
+<style>
+.animation {
+    display: inline-block;
+    text-align: center;
+}
+input[type=range].anim-slider {
+    width: 374px;
+    margin-left: auto;
+    margin-right: auto;
+}
+.anim-buttons {
+    margin: 8px 0px;
+}
+.anim-buttons button {
+    padding: 0;
+    width: 36px;
+}
+.anim-state label {
+    margin-right: 8px;
+}
+.anim-state input {
+    margin: 0;
+    vertical-align: middle;
+}
+</style>
+"""
+
+
+# HTML template for HTMLWriter
+DISPLAY_TEMPLATE = """
+<div class="animation">
+  <img id="_anim_img{id}">
+  <div class="anim-controls">
+    <input id="_anim_slider{id}" type="range" class="anim-slider"
+           name="points" min="0" max="1" step="1" value="0"
+           oninput="anim{id}.set_frame(parseInt(this.value));">
+    <div class="anim-buttons">
+      <button title="Decrease speed" aria-label="Decrease speed" onclick="anim{id}.slower()">
+          <i class="fa fa-minus"></i></button>
+      <button title="First frame" aria-label="First frame" onclick="anim{id}.first_frame()">
+        <i class="fa fa-fast-backward"></i></button>
+      <button title="Previous frame" aria-label="Previous frame" onclick="anim{id}.previous_frame()">
+          <i class="fa fa-step-backward"></i></button>
+      <button title="Play backwards" aria-label="Play backwards" onclick="anim{id}.reverse_animation()">
+          <i class="fa fa-play fa-flip-horizontal"></i></button>
+      <button title="Pause" aria-label="Pause" onclick="anim{id}.pause_animation()">
+          <i class="fa fa-pause"></i></button>
+      <button title="Play" aria-label="Play" onclick="anim{id}.play_animation()">
+          <i class="fa fa-play"></i></button>
+      <button title="Next frame" aria-label="Next frame" onclick="anim{id}.next_frame()">
+          <i class="fa fa-step-forward"></i></button>
+      <button title="Last frame" aria-label="Last frame" onclick="anim{id}.last_frame()">
+          <i class="fa fa-fast-forward"></i></button>
+      <button title="Increase speed" aria-label="Increase speed" onclick="anim{id}.faster()">
+          <i class="fa fa-plus"></i></button>
+    </div>
+    <form title="Repetition mode" aria-label="Repetition mode" action="#n" name="_anim_loop_select{id}"
+          class="anim-state">
+      <input type="radio" name="state" value="once" id="_anim_radio1_{id}"
+             {once_checked}>
+      <label for="_anim_radio1_{id}">Once</label>
+      <input type="radio" name="state" value="loop" id="_anim_radio2_{id}"
+             {loop_checked}>
+      <label for="_anim_radio2_{id}">Loop</label>
+      <input type="radio" name="state" value="reflect" id="_anim_radio3_{id}"
+             {reflect_checked}>
+      <label for="_anim_radio3_{id}">Reflect</label>
+    </form>
+  </div>
+</div>
+
+
+<script language="javascript">
+  /* Instantiate the Animation class. */
+  /* The IDs given should match those used in the template above. */
+  (function() {{
+    var img_id = "_anim_img{id}";
+    var slider_id = "_anim_slider{id}";
+    var loop_select_id = "_anim_loop_select{id}";
+    var frames = new Array({Nframes});
+    {fill_frames}
+
+    /* set a timeout to make sure all the above elements are created before
+       the object is initialized. */
+    setTimeout(function() {{
+        anim{id} = new Animation(frames, img_id, slider_id, {interval},
+                                 loop_select_id);
+    }}, 0);
+  }})()
+</script>
+"""  # noqa: E501
+
+
+INCLUDED_FRAMES = """
+  for (var i=0; i<{Nframes}; i++){{
+    frames[i] = "{frame_dir}/frame" + ("0000000" + i).slice(-7) +
+                ".{frame_format}";
+  }}
+"""

venv/lib/python3.13/site-packages/matplotlib/_api/__init__.py

@@ -0,0 +1,391 @@
+"""
+Helper functions for managing the Matplotlib API.
+
+This documentation is only relevant for Matplotlib developers, not for users.
+
+.. warning::
+
+    This module and its submodules are for internal use only.  Do not use them
+    in your own code.  We may change the API at any time with no warning.
+
+"""
+
+import functools
+import itertools
+import pathlib
+import re
+import sys
+import warnings
+
+from .deprecation import (  # noqa: F401
+    deprecated, warn_deprecated,
+    rename_parameter, delete_parameter, make_keyword_only,
+    deprecate_method_override, deprecate_privatize_attribute,
+    suppress_matplotlib_deprecation_warning,
+    MatplotlibDeprecationWarning)
+
+
+class classproperty:
+    """
+    Like `property`, but also triggers on access via the class, and it is the
+    *class* that's passed as argument.
+
+    Examples
+    --------
+    ::
+
+        class C:
+            @classproperty
+            def foo(cls):
+                return cls.__name__
+
+        assert C.foo == "C"
+    """
+
+    def __init__(self, fget, fset=None, fdel=None, doc=None):
+        self._fget = fget
+        if fset is not None or fdel is not None:
+            raise ValueError('classproperty only implements fget.')
+        self.fset = fset
+        self.fdel = fdel
+        # docs are ignored for now
+        self._doc = doc
+
+    def __get__(self, instance, owner):
+        return self._fget(owner)
+
+    @property
+    def fget(self):
+        return self._fget
+
+
+# In the following check_foo() functions, the first parameter is positional-only to make
+# e.g. `_api.check_isinstance([...], types=foo)` work.
+
+def check_isinstance(types, /, **kwargs):
+    """
+    For each *key, value* pair in *kwargs*, check that *value* is an instance
+    of one of *types*; if not, raise an appropriate TypeError.
+
+    As a special case, a ``None`` entry in *types* is treated as NoneType.
+
+    Examples
+    --------
+    >>> _api.check_isinstance((SomeClass, None), arg=arg)
+    """
+    none_type = type(None)
+    types = ((types,) if isinstance(types, type) else
+             (none_type,) if types is None else
+             tuple(none_type if tp is None else tp for tp in types))
+
+    def type_name(tp):
+        return ("None" if tp is none_type
+                else tp.__qualname__ if tp.__module__ == "builtins"
+                else f"{tp.__module__}.{tp.__qualname__}")
+
+    for k, v in kwargs.items():
+        if not isinstance(v, types):
+            names = [*map(type_name, types)]
+            if "None" in names:  # Move it to the end for better wording.
+                names.remove("None")
+                names.append("None")
+            raise TypeError(
+                "{!r} must be an instance of {}, not a {}".format(
+                    k,
+                    ", ".join(names[:-1]) + " or " + names[-1]
+                    if len(names) > 1 else names[0],
+                    type_name(type(v))))
+
+
+def check_in_list(values, /, *, _print_supported_values=True, **kwargs):
+    """
+    For each *key, value* pair in *kwargs*, check that *value* is in *values*;
+    if not, raise an appropriate ValueError.
+
+    Parameters
+    ----------
+    values : iterable
+        Sequence of values to check on.
+    _print_supported_values : bool, default: True
+        Whether to print *values* when raising ValueError.
+    **kwargs : dict
+        *key, value* pairs as keyword arguments to find in *values*.
+
+    Raises
+    ------
+    ValueError
+        If any *value* in *kwargs* is not found in *values*.
+
+    Examples
+    --------
+    >>> _api.check_in_list(["foo", "bar"], arg=arg, other_arg=other_arg)
+    """
+    if not kwargs:
+        raise TypeError("No argument to check!")
+    for key, val in kwargs.items():
+        if val not in values:
+            msg = f"{val!r} is not a valid value for {key}"
+            if _print_supported_values:
+                msg += f"; supported values are {', '.join(map(repr, values))}"
+            raise ValueError(msg)
+
+
+def check_shape(shape, /, **kwargs):
+    """
+    For each *key, value* pair in *kwargs*, check that *value* has the shape *shape*;
+    if not, raise an appropriate ValueError.
+
+    *None* in the shape is treated as a "free" size that can have any length.
+    e.g. (None, 2) -> (N, 2)
+
+    The values checked must be numpy arrays.
+
+    Examples
+    --------
+    To check for (N, 2) shaped arrays
+
+    >>> _api.check_shape((None, 2), arg=arg, other_arg=other_arg)
+    """
+    for k, v in kwargs.items():
+        data_shape = v.shape
+
+        if (len(data_shape) != len(shape)
+                or any(s != t and t is not None for s, t in zip(data_shape, shape))):
+            dim_labels = iter(itertools.chain(
+                'NMLKJIH',
+                (f"D{i}" for i in itertools.count())))
+            text_shape = ", ".join([str(n) if n is not None else next(dim_labels)
+                                    for n in shape[::-1]][::-1])
+            if len(shape) == 1:
+                text_shape += ","
+
+            raise ValueError(
+                f"{k!r} must be {len(shape)}D with shape ({text_shape}), "
+                f"but your input has shape {v.shape}"
+            )
+
+
+def check_getitem(mapping, /, **kwargs):
+    """
+    *kwargs* must consist of a single *key, value* pair.  If *key* is in
+    *mapping*, return ``mapping[value]``; else, raise an appropriate
+    ValueError.
+
+    Examples
+    --------
+    >>> _api.check_getitem({"foo": "bar"}, arg=arg)
+    """
+    if len(kwargs) != 1:
+        raise ValueError("check_getitem takes a single keyword argument")
+    (k, v), = kwargs.items()
+    try:
+        return mapping[v]
+    except KeyError:
+        raise ValueError(
+            f"{v!r} is not a valid value for {k}; supported values are "
+            f"{', '.join(map(repr, mapping))}") from None
+
+
+def caching_module_getattr(cls):
+    """
+    Helper decorator for implementing module-level ``__getattr__`` as a class.
+
+    This decorator must be used at the module toplevel as follows::
+
+        @caching_module_getattr
+        class __getattr__:  # The class *must* be named ``__getattr__``.
+            @property  # Only properties are taken into account.
+            def name(self): ...
+
+    The ``__getattr__`` class will be replaced by a ``__getattr__``
+    function such that trying to access ``name`` on the module will
+    resolve the corresponding property (which may be decorated e.g. with
+    ``_api.deprecated`` for deprecating module globals).  The properties are
+    all implicitly cached.  Moreover, a suitable AttributeError is generated
+    and raised if no property with the given name exists.
+    """
+
+    assert cls.__name__ == "__getattr__"
+    # Don't accidentally export cls dunders.
+    props = {name: prop for name, prop in vars(cls).items()
+             if isinstance(prop, property)}
+    instance = cls()
+
+    @functools.cache
+    def __getattr__(name):
+        if name in props:
+            return props[name].__get__(instance)
+        raise AttributeError(
+            f"module {cls.__module__!r} has no attribute {name!r}")
+
+    return __getattr__
+
+
+def define_aliases(alias_d, cls=None):
+    """
+    Class decorator for defining property aliases.
+
+    Use as ::
+
+        @_api.define_aliases({"property": ["alias", ...], ...})
+        class C: ...
+
+    For each property, if the corresponding ``get_property`` is defined in the
+    class so far, an alias named ``get_alias`` will be defined; the same will
+    be done for setters.  If neither the getter nor the setter exists, an
+    exception will be raised.
+
+    The alias map is stored as the ``_alias_map`` attribute on the class and
+    can be used by `.normalize_kwargs` (which assumes that higher priority
+    aliases come last).
+    """
+    if cls is None:  # Return the actual class decorator.
+        return functools.partial(define_aliases, alias_d)
+
+    def make_alias(name):  # Enforce a closure over *name*.
+        @functools.wraps(getattr(cls, name))
+        def method(self, *args, **kwargs):
+            return getattr(self, name)(*args, **kwargs)
+        return method
+
+    for prop, aliases in alias_d.items():
+        exists = False
+        for prefix in ["get_", "set_"]:
+            if prefix + prop in vars(cls):
+                exists = True
+                for alias in aliases:
+                    method = make_alias(prefix + prop)
+                    method.__name__ = prefix + alias
+                    method.__doc__ = f"Alias for `{prefix + prop}`."
+                    setattr(cls, prefix + alias, method)
+        if not exists:
+            raise ValueError(
+                f"Neither getter nor setter exists for {prop!r}")
+
+    def get_aliased_and_aliases(d):
+        return {*d, *(alias for aliases in d.values() for alias in aliases)}
+
+    preexisting_aliases = getattr(cls, "_alias_map", {})
+    conflicting = (get_aliased_and_aliases(preexisting_aliases)
+                   & get_aliased_and_aliases(alias_d))
+    if conflicting:
+        # Need to decide on conflict resolution policy.
+        raise NotImplementedError(
+            f"Parent class already defines conflicting aliases: {conflicting}")
+    cls._alias_map = {**preexisting_aliases, **alias_d}
+    return cls
+
+
+def select_matching_signature(funcs, *args, **kwargs):
+    """
+    Select and call the function that accepts ``*args, **kwargs``.
+
+    *funcs* is a list of functions which should not raise any exception (other
+    than `TypeError` if the arguments passed do not match their signature).
+
+    `select_matching_signature` tries to call each of the functions in *funcs*
+    with ``*args, **kwargs`` (in the order in which they are given).  Calls
+    that fail with a `TypeError` are silently skipped.  As soon as a call
+    succeeds, `select_matching_signature` returns its return value.  If no
+    function accepts ``*args, **kwargs``, then the `TypeError` raised by the
+    last failing call is re-raised.
+
+    Callers should normally make sure that any ``*args, **kwargs`` can only
+    bind a single *func* (to avoid any ambiguity), although this is not checked
+    by `select_matching_signature`.
+
+    Notes
+    -----
+    `select_matching_signature` is intended to help implementing
+    signature-overloaded functions.  In general, such functions should be
+    avoided, except for back-compatibility concerns.  A typical use pattern is
+    ::
+
+        def my_func(*args, **kwargs):
+            params = select_matching_signature(
+                [lambda old1, old2: locals(), lambda new: locals()],
+                *args, **kwargs)
+            if "old1" in params:
+                warn_deprecated(...)
+                old1, old2 = params.values()  # note that locals() is ordered.
+            else:
+                new, = params.values()
+            # do things with params
+
+    which allows *my_func* to be called either with two parameters (*old1* and
+    *old2*) or a single one (*new*).  Note that the new signature is given
+    last, so that callers get a `TypeError` corresponding to the new signature
+    if the arguments they passed in do not match any signature.
+    """
+    # Rather than relying on locals() ordering, one could have just used func's
+    # signature (``bound = inspect.signature(func).bind(*args, **kwargs);
+    # bound.apply_defaults(); return bound``) but that is significantly slower.
+    for i, func in enumerate(funcs):
+        try:
+            return func(*args, **kwargs)
+        except TypeError:
+            if i == len(funcs) - 1:
+                raise
+
+
+def nargs_error(name, takes, given):
+    """Generate a TypeError to be raised by function calls with wrong arity."""
+    return TypeError(f"{name}() takes {takes} positional arguments but "
+                     f"{given} were given")
+
+
+def kwarg_error(name, kw):
+    """
+    Generate a TypeError to be raised by function calls with wrong kwarg.
+
+    Parameters
+    ----------
+    name : str
+        The name of the calling function.
+    kw : str or Iterable[str]
+        Either the invalid keyword argument name, or an iterable yielding
+        invalid keyword arguments (e.g., a ``kwargs`` dict).
+    """
+    if not isinstance(kw, str):
+        kw = next(iter(kw))
+    return TypeError(f"{name}() got an unexpected keyword argument '{kw}'")
+
+
+def recursive_subclasses(cls):
+    """Yield *cls* and direct and indirect subclasses of *cls*."""
+    yield cls
+    for subcls in cls.__subclasses__():
+        yield from recursive_subclasses(subcls)
+
+
+def warn_external(message, category=None):
+    """
+    `warnings.warn` wrapper that sets *stacklevel* to "outside Matplotlib".
+
+    The original emitter of the warning can be obtained by patching this
+    function back to `warnings.warn`, i.e. ``_api.warn_external =
+    warnings.warn`` (or ``functools.partial(warnings.warn, stacklevel=2)``,
+    etc.).
+    """
+    kwargs = {}
+    if sys.version_info[:2] >= (3, 12):
+        # Go to Python's `site-packages` or `lib` from an editable install.
+        basedir = pathlib.Path(__file__).parents[2]
+        kwargs['skip_file_prefixes'] = (str(basedir / 'matplotlib'),
+                                        str(basedir / 'mpl_toolkits'))
+    else:
+        frame = sys._getframe()
+        for stacklevel in itertools.count(1):
+            if frame is None:
+                # when called in embedded context may hit frame is None
+                kwargs['stacklevel'] = stacklevel
+                break
+            if not re.match(r"\A(matplotlib|mpl_toolkits)(\Z|\.(?!tests\.))",
+                            # Work around sphinx-gallery not setting __name__.
+                            frame.f_globals.get("__name__", "")):
+                kwargs['stacklevel'] = stacklevel
+                break
+            frame = frame.f_back
+        # preemptively break reference cycle between locals and the frame
+        del frame
+    warnings.warn(message, category, **kwargs)

venv/lib/python3.13/site-packages/matplotlib/_api/__init__.pyi

@@ -0,0 +1,59 @@
+from collections.abc import Callable, Generator, Iterable, Mapping, Sequence
+from typing import Any, TypeVar, overload
+from typing_extensions import Self  # < Py 3.11
+
+from numpy.typing import NDArray
+
+from .deprecation import (  # noqa: F401, re-exported API
+    deprecated as deprecated,
+    warn_deprecated as warn_deprecated,
+    rename_parameter as rename_parameter,
+    delete_parameter as delete_parameter,
+    make_keyword_only as make_keyword_only,
+    deprecate_method_override as deprecate_method_override,
+    deprecate_privatize_attribute as deprecate_privatize_attribute,
+    suppress_matplotlib_deprecation_warning as suppress_matplotlib_deprecation_warning,
+    MatplotlibDeprecationWarning as MatplotlibDeprecationWarning,
+)
+
+_T = TypeVar("_T")
+
+class classproperty(Any):
+    def __init__(
+        self,
+        fget: Callable[[_T], Any],
+        fset: None = ...,
+        fdel: None = ...,
+        doc: str | None = None,
+    ): ...
+    @overload
+    def __get__(self, instance: None, owner: None) -> Self: ...
+    @overload
+    def __get__(self, instance: object, owner: type[object]) -> Any: ...
+    @property
+    def fget(self) -> Callable[[_T], Any]: ...
+
+def check_isinstance(
+    types: type | tuple[type | None, ...], /, **kwargs: Any
+) -> None: ...
+def check_in_list(
+    values: Sequence[Any], /, *, _print_supported_values: bool = ..., **kwargs: Any
+) -> None: ...
+def check_shape(shape: tuple[int | None, ...], /, **kwargs: NDArray) -> None: ...
+def check_getitem(mapping: Mapping[Any, Any], /, **kwargs: Any) -> Any: ...
+def caching_module_getattr(cls: type) -> Callable[[str], Any]: ...
+@overload
+def define_aliases(
+    alias_d: dict[str, list[str]], cls: None = ...
+) -> Callable[[type[_T]], type[_T]]: ...
+@overload
+def define_aliases(alias_d: dict[str, list[str]], cls: type[_T]) -> type[_T]: ...
+def select_matching_signature(
+    funcs: list[Callable], *args: Any, **kwargs: Any
+) -> Any: ...
+def nargs_error(name: str, takes: int | str, given: int) -> TypeError: ...
+def kwarg_error(name: str, kw: str | Iterable[str]) -> TypeError: ...
+def recursive_subclasses(cls: type) -> Generator[type, None, None]: ...
+def warn_external(
+    message: str | Warning, category: type[Warning] | None = ...
+) -> None: ...

venv/lib/python3.13/site-packages/matplotlib/_api/deprecation.py

@@ -0,0 +1,509 @@
+"""
+Helper functions for deprecating parts of the Matplotlib API.
+
+This documentation is only relevant for Matplotlib developers, not for users.
+
+.. warning::
+
+    This module is for internal use only.  Do not use it in your own code.
+    We may change the API at any time with no warning.
+
+"""
+
+import contextlib
+import functools
+import inspect
+import math
+import warnings
+
+
+class MatplotlibDeprecationWarning(DeprecationWarning):
+    """A class for issuing deprecation warnings for Matplotlib users."""
+
+
+def _generate_deprecation_warning(
+        since, message='', name='', alternative='', pending=False, obj_type='',
+        addendum='', *, removal=''):
+    if pending:
+        if removal:
+            raise ValueError("A pending deprecation cannot have a scheduled removal")
+    elif removal == '':
+        macro, meso, *_ = since.split('.')
+        removal = f'{macro}.{int(meso) + 2}'
+    if not message:
+        message = (
+            ("The %(name)s %(obj_type)s" if obj_type else "%(name)s") +
+            (" will be deprecated in a future version" if pending else
+             (" was deprecated in Matplotlib %(since)s" +
+              (" and will be removed in %(removal)s" if removal else ""))) +
+            "." +
+            (" Use %(alternative)s instead." if alternative else "") +
+            (" %(addendum)s" if addendum else ""))
+    warning_cls = PendingDeprecationWarning if pending else MatplotlibDeprecationWarning
+    return warning_cls(message % dict(
+        func=name, name=name, obj_type=obj_type, since=since, removal=removal,
+        alternative=alternative, addendum=addendum))
+
+
+def warn_deprecated(
+        since, *, message='', name='', alternative='', pending=False,
+        obj_type='', addendum='', removal=''):
+    """
+    Display a standardized deprecation.
+
+    Parameters
+    ----------
+    since : str
+        The release at which this API became deprecated.
+    message : str, optional
+        Override the default deprecation message.  The ``%(since)s``,
+        ``%(name)s``, ``%(alternative)s``, ``%(obj_type)s``, ``%(addendum)s``,
+        and ``%(removal)s`` format specifiers will be replaced by the values
+        of the respective arguments passed to this function.
+    name : str, optional
+        The name of the deprecated object.
+    alternative : str, optional
+        An alternative API that the user may use in place of the deprecated
+        API.  The deprecation warning will tell the user about this alternative
+        if provided.
+    pending : bool, optional
+        If True, uses a PendingDeprecationWarning instead of a
+        DeprecationWarning.  Cannot be used together with *removal*.
+    obj_type : str, optional
+        The object type being deprecated.
+    addendum : str, optional
+        Additional text appended directly to the final message.
+    removal : str, optional
+        The expected removal version.  With the default (an empty string), a
+        removal version is automatically computed from *since*.  Set to other
+        Falsy values to not schedule a removal date.  Cannot be used together
+        with *pending*.
+
+    Examples
+    --------
+    ::
+
+        # To warn of the deprecation of "matplotlib.name_of_module"
+        warn_deprecated('1.4.0', name='matplotlib.name_of_module',
+                        obj_type='module')
+    """
+    warning = _generate_deprecation_warning(
+        since, message, name, alternative, pending, obj_type, addendum,
+        removal=removal)
+    from . import warn_external
+    warn_external(warning, category=MatplotlibDeprecationWarning)
+
+
+def deprecated(since, *, message='', name='', alternative='', pending=False,
+               obj_type=None, addendum='', removal=''):
+    """
+    Decorator to mark a function, a class, or a property as deprecated.
+
+    When deprecating a classmethod, a staticmethod, or a property, the
+    ``@deprecated`` decorator should go *under* ``@classmethod`` and
+    ``@staticmethod`` (i.e., `deprecated` should directly decorate the
+    underlying callable), but *over* ``@property``.
+
+    When deprecating a class ``C`` intended to be used as a base class in a
+    multiple inheritance hierarchy, ``C`` *must* define an ``__init__`` method
+    (if ``C`` instead inherited its ``__init__`` from its own base class, then
+    ``@deprecated`` would mess up ``__init__`` inheritance when installing its
+    own (deprecation-emitting) ``C.__init__``).
+
+    Parameters are the same as for `warn_deprecated`, except that *obj_type*
+    defaults to 'class' if decorating a class, 'attribute' if decorating a
+    property, and 'function' otherwise.
+
+    Examples
+    --------
+    ::
+
+        @deprecated('1.4.0')
+        def the_function_to_deprecate():
+            pass
+    """
+
+    def deprecate(obj, message=message, name=name, alternative=alternative,
+                  pending=pending, obj_type=obj_type, addendum=addendum):
+        from matplotlib._api import classproperty
+
+        if isinstance(obj, type):
+            if obj_type is None:
+                obj_type = "class"
+            func = obj.__init__
+            name = name or obj.__name__
+            old_doc = obj.__doc__
+
+            def finalize(wrapper, new_doc):
+                try:
+                    obj.__doc__ = new_doc
+                except AttributeError:  # Can't set on some extension objects.
+                    pass
+                obj.__init__ = functools.wraps(obj.__init__)(wrapper)
+                return obj
+
+        elif isinstance(obj, (property, classproperty)):
+            if obj_type is None:
+                obj_type = "attribute"
+            func = None
+            name = name or obj.fget.__name__
+            old_doc = obj.__doc__
+
+            class _deprecated_property(type(obj)):
+                def __get__(self, instance, owner=None):
+                    if instance is not None or owner is not None \
+                            and isinstance(self, classproperty):
+                        emit_warning()
+                    return super().__get__(instance, owner)
+
+                def __set__(self, instance, value):
+                    if instance is not None:
+                        emit_warning()
+                    return super().__set__(instance, value)
+
+                def __delete__(self, instance):
+                    if instance is not None:
+                        emit_warning()
+                    return super().__delete__(instance)
+
+                def __set_name__(self, owner, set_name):
+                    nonlocal name
+                    if name == "<lambda>":
+                        name = set_name
+
+            def finalize(_, new_doc):
+                return _deprecated_property(
+                    fget=obj.fget, fset=obj.fset, fdel=obj.fdel, doc=new_doc)
+
+        else:
+            if obj_type is None:
+                obj_type = "function"
+            func = obj
+            name = name or obj.__name__
+            old_doc = func.__doc__
+
+            def finalize(wrapper, new_doc):
+                wrapper = functools.wraps(func)(wrapper)
+                wrapper.__doc__ = new_doc
+                return wrapper
+
+        def emit_warning():
+            warn_deprecated(
+                since, message=message, name=name, alternative=alternative,
+                pending=pending, obj_type=obj_type, addendum=addendum,
+                removal=removal)
+
+        def wrapper(*args, **kwargs):
+            emit_warning()
+            return func(*args, **kwargs)
+
+        old_doc = inspect.cleandoc(old_doc or '').strip('\n')
+
+        notes_header = '\nNotes\n-----'
+        second_arg = ' '.join([t.strip() for t in
+                               (message, f"Use {alternative} instead."
+                                if alternative else "", addendum) if t])
+        new_doc = (f"[*Deprecated*] {old_doc}\n"
+                   f"{notes_header if notes_header not in old_doc else ''}\n"
+                   f".. deprecated:: {since}\n"
+                   f"   {second_arg}")
+
+        if not old_doc:
+            # This is to prevent a spurious 'unexpected unindent' warning from
+            # docutils when the original docstring was blank.
+            new_doc += r'\ '
+
+        return finalize(wrapper, new_doc)
+
+    return deprecate
+
+
+class deprecate_privatize_attribute:
+    """
+    Helper to deprecate public access to an attribute (or method).
+
+    This helper should only be used at class scope, as follows::
+
+        class Foo:
+            attr = _deprecate_privatize_attribute(*args, **kwargs)
+
+    where *all* parameters are forwarded to `deprecated`.  This form makes
+    ``attr`` a property which forwards read and write access to ``self._attr``
+    (same name but with a leading underscore), with a deprecation warning.
+    Note that the attribute name is derived from *the name this helper is
+    assigned to*.  This helper also works for deprecating methods.
+    """
+
+    def __init__(self, *args, **kwargs):
+        self.deprecator = deprecated(*args, **kwargs)
+
+    def __set_name__(self, owner, name):
+        setattr(owner, name, self.deprecator(
+            property(lambda self: getattr(self, f"_{name}"),
+                     lambda self, value: setattr(self, f"_{name}", value)),
+            name=name))
+
+
+# Used by _copy_docstring_and_deprecators to redecorate pyplot wrappers and
+# boilerplate.py to retrieve original signatures.  It may seem natural to store
+# this information as an attribute on the wrapper, but if the wrapper gets
+# itself functools.wraps()ed, then such attributes are silently propagated to
+# the outer wrapper, which is not desired.
+DECORATORS = {}
+
+
+def rename_parameter(since, old, new, func=None):
+    """
+    Decorator indicating that parameter *old* of *func* is renamed to *new*.
+
+    The actual implementation of *func* should use *new*, not *old*.  If *old*
+    is passed to *func*, a DeprecationWarning is emitted, and its value is
+    used, even if *new* is also passed by keyword (this is to simplify pyplot
+    wrapper functions, which always pass *new* explicitly to the Axes method).
+    If *new* is also passed but positionally, a TypeError will be raised by the
+    underlying function during argument binding.
+
+    Examples
+    --------
+    ::
+
+        @_api.rename_parameter("3.1", "bad_name", "good_name")
+        def func(good_name): ...
+    """
+
+    decorator = functools.partial(rename_parameter, since, old, new)
+
+    if func is None:
+        return decorator
+
+    signature = inspect.signature(func)
+    assert old not in signature.parameters, (
+        f"Matplotlib internal error: {old!r} cannot be a parameter for "
+        f"{func.__name__}()")
+    assert new in signature.parameters, (
+        f"Matplotlib internal error: {new!r} must be a parameter for "
+        f"{func.__name__}()")
+
+    @functools.wraps(func)
+    def wrapper(*args, **kwargs):
+        if old in kwargs:
+            warn_deprecated(
+                since, message=f"The {old!r} parameter of {func.__name__}() "
+                f"has been renamed {new!r} since Matplotlib {since}; support "
+                f"for the old name will be dropped in %(removal)s.")
+            kwargs[new] = kwargs.pop(old)
+        return func(*args, **kwargs)
+
+    # wrapper() must keep the same documented signature as func(): if we
+    # instead made both *old* and *new* appear in wrapper()'s signature, they
+    # would both show up in the pyplot function for an Axes method as well and
+    # pyplot would explicitly pass both arguments to the Axes method.
+
+    DECORATORS[wrapper] = decorator
+    return wrapper
+
+
+class _deprecated_parameter_class:
+    def __repr__(self):
+        return "<deprecated parameter>"
+
+
+_deprecated_parameter = _deprecated_parameter_class()
+
+
+def delete_parameter(since, name, func=None, **kwargs):
+    """
+    Decorator indicating that parameter *name* of *func* is being deprecated.
+
+    The actual implementation of *func* should keep the *name* parameter in its
+    signature, or accept a ``**kwargs`` argument (through which *name* would be
+    passed).
+
+    Parameters that come after the deprecated parameter effectively become
+    keyword-only (as they cannot be passed positionally without triggering the
+    DeprecationWarning on the deprecated parameter), and should be marked as
+    such after the deprecation period has passed and the deprecated parameter
+    is removed.
+
+    Parameters other than *since*, *name*, and *func* are keyword-only and
+    forwarded to `.warn_deprecated`.
+
+    Examples
+    --------
+    ::
+
+        @_api.delete_parameter("3.1", "unused")
+        def func(used_arg, other_arg, unused, more_args): ...
+    """
+
+    decorator = functools.partial(delete_parameter, since, name, **kwargs)
+
+    if func is None:
+        return decorator
+
+    signature = inspect.signature(func)
+    # Name of `**kwargs` parameter of the decorated function, typically
+    # "kwargs" if such a parameter exists, or None if the decorated function
+    # doesn't accept `**kwargs`.
+    kwargs_name = next((param.name for param in signature.parameters.values()
+                        if param.kind == inspect.Parameter.VAR_KEYWORD), None)
+    if name in signature.parameters:
+        kind = signature.parameters[name].kind
+        is_varargs = kind is inspect.Parameter.VAR_POSITIONAL
+        is_varkwargs = kind is inspect.Parameter.VAR_KEYWORD
+        if not is_varargs and not is_varkwargs:
+            name_idx = (
+                # Deprecated parameter can't be passed positionally.
+                math.inf if kind is inspect.Parameter.KEYWORD_ONLY
+                # If call site has no more than this number of parameters, the
+                # deprecated parameter can't have been passed positionally.
+                else [*signature.parameters].index(name))
+            func.__signature__ = signature = signature.replace(parameters=[
+                param.replace(default=_deprecated_parameter)
+                if param.name == name else param
+                for param in signature.parameters.values()])
+        else:
+            name_idx = -1  # Deprecated parameter can always have been passed.
+    else:
+        is_varargs = is_varkwargs = False
+        # Deprecated parameter can't be passed positionally.
+        name_idx = math.inf
+        assert kwargs_name, (
+            f"Matplotlib internal error: {name!r} must be a parameter for "
+            f"{func.__name__}()")
+
+    addendum = kwargs.pop('addendum', None)
+
+    @functools.wraps(func)
+    def wrapper(*inner_args, **inner_kwargs):
+        if len(inner_args) <= name_idx and name not in inner_kwargs:
+            # Early return in the simple, non-deprecated case (much faster than
+            # calling bind()).
+            return func(*inner_args, **inner_kwargs)
+        arguments = signature.bind(*inner_args, **inner_kwargs).arguments
+        if is_varargs and arguments.get(name):
+            warn_deprecated(
+                since, message=f"Additional positional arguments to "
+                f"{func.__name__}() are deprecated since %(since)s and "
+                f"support for them will be removed in %(removal)s.")
+        elif is_varkwargs and arguments.get(name):
+            warn_deprecated(
+                since, message=f"Additional keyword arguments to "
+                f"{func.__name__}() are deprecated since %(since)s and "
+                f"support for them will be removed in %(removal)s.")
+        # We cannot just check `name not in arguments` because the pyplot
+        # wrappers always pass all arguments explicitly.
+        elif any(name in d and d[name] != _deprecated_parameter
+                 for d in [arguments, arguments.get(kwargs_name, {})]):
+            deprecation_addendum = (
+                f"If any parameter follows {name!r}, they should be passed as "
+                f"keyword, not positionally.")
+            warn_deprecated(
+                since,
+                name=repr(name),
+                obj_type=f"parameter of {func.__name__}()",
+                addendum=(addendum + " " + deprecation_addendum) if addendum
+                         else deprecation_addendum,
+                **kwargs)
+        return func(*inner_args, **inner_kwargs)
+
+    DECORATORS[wrapper] = decorator
+    return wrapper
+
+
+def make_keyword_only(since, name, func=None):
+    """
+    Decorator indicating that passing parameter *name* (or any of the following
+    ones) positionally to *func* is being deprecated.
+
+    When used on a method that has a pyplot wrapper, this should be the
+    outermost decorator, so that :file:`boilerplate.py` can access the original
+    signature.
+    """
+
+    decorator = functools.partial(make_keyword_only, since, name)
+
+    if func is None:
+        return decorator
+
+    signature = inspect.signature(func)
+    POK = inspect.Parameter.POSITIONAL_OR_KEYWORD
+    KWO = inspect.Parameter.KEYWORD_ONLY
+    assert (name in signature.parameters
+            and signature.parameters[name].kind == POK), (
+        f"Matplotlib internal error: {name!r} must be a positional-or-keyword "
+        f"parameter for {func.__name__}(). If this error happens on a function with a "
+        f"pyplot wrapper, make sure make_keyword_only() is the outermost decorator.")
+    names = [*signature.parameters]
+    name_idx = names.index(name)
+    kwonly = [name for name in names[name_idx:]
+              if signature.parameters[name].kind == POK]
+
+    @functools.wraps(func)
+    def wrapper(*args, **kwargs):
+        # Don't use signature.bind here, as it would fail when stacked with
+        # rename_parameter and an "old" argument name is passed in
+        # (signature.bind would fail, but the actual call would succeed).
+        if len(args) > name_idx:
+            warn_deprecated(
+                since, message="Passing the %(name)s %(obj_type)s "
+                "positionally is deprecated since Matplotlib %(since)s; the "
+                "parameter will become keyword-only in %(removal)s.",
+                name=name, obj_type=f"parameter of {func.__name__}()")
+        return func(*args, **kwargs)
+
+    # Don't modify *func*'s signature, as boilerplate.py needs it.
+    wrapper.__signature__ = signature.replace(parameters=[
+        param.replace(kind=KWO) if param.name in kwonly else param
+        for param in signature.parameters.values()])
+    DECORATORS[wrapper] = decorator
+    return wrapper
+
+
+def deprecate_method_override(method, obj, *, allow_empty=False, **kwargs):
+    """
+    Return ``obj.method`` with a deprecation if it was overridden, else None.
+
+    Parameters
+    ----------
+    method
+        An unbound method, i.e. an expression of the form
+        ``Class.method_name``.  Remember that within the body of a method, one
+        can always use ``__class__`` to refer to the class that is currently
+        being defined.
+    obj
+        Either an object of the class where *method* is defined, or a subclass
+        of that class.
+    allow_empty : bool, default: False
+        Whether to allow overrides by "empty" methods without emitting a
+        warning.
+    **kwargs
+        Additional parameters passed to `warn_deprecated` to generate the
+        deprecation warning; must at least include the "since" key.
+    """
+
+    def empty(): pass
+    def empty_with_docstring(): """doc"""
+
+    name = method.__name__
+    bound_child = getattr(obj, name)
+    bound_base = (
+        method  # If obj is a class, then we need to use unbound methods.
+        if isinstance(bound_child, type(empty)) and isinstance(obj, type)
+        else method.__get__(obj))
+    if (bound_child != bound_base
+            and (not allow_empty
+                 or (getattr(getattr(bound_child, "__code__", None),
+                             "co_code", None)
+                     not in [empty.__code__.co_code,
+                             empty_with_docstring.__code__.co_code]))):
+        warn_deprecated(**{"name": name, "obj_type": "method", **kwargs})
+        return bound_child
+    return None
+
+
+@contextlib.contextmanager
+def suppress_matplotlib_deprecation_warning():
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore", MatplotlibDeprecationWarning)
+        yield

venv/lib/python3.13/site-packages/matplotlib/_api/deprecation.pyi

@@ -0,0 +1,75 @@
+from collections.abc import Callable
+import contextlib
+from typing import Any, Literal, ParamSpec, TypedDict, TypeVar, overload
+from typing_extensions import (
+    Unpack,  # < Py 3.11
+)
+
+_P = ParamSpec("_P")
+_R = TypeVar("_R")
+_T = TypeVar("_T")
+
+class MatplotlibDeprecationWarning(DeprecationWarning): ...
+
+class DeprecationKwargs(TypedDict, total=False):
+    message: str
+    alternative: str
+    pending: bool
+    obj_type: str
+    addendum: str
+    removal: str | Literal[False]
+
+class NamedDeprecationKwargs(DeprecationKwargs, total=False):
+    name: str
+
+def warn_deprecated(since: str, **kwargs: Unpack[NamedDeprecationKwargs]) -> None: ...
+def deprecated(
+    since: str, **kwargs: Unpack[NamedDeprecationKwargs]
+) -> Callable[[_T], _T]: ...
+
+class deprecate_privatize_attribute(Any):
+    def __init__(self, since: str, **kwargs: Unpack[NamedDeprecationKwargs]): ...
+    def __set_name__(self, owner: type[object], name: str) -> None: ...
+
+DECORATORS: dict[Callable, Callable] = ...
+
+@overload
+def rename_parameter(
+    since: str, old: str, new: str, func: None = ...
+) -> Callable[[Callable[_P, _R]], Callable[_P, _R]]: ...
+@overload
+def rename_parameter(
+    since: str, old: str, new: str, func: Callable[_P, _R]
+) -> Callable[_P, _R]: ...
+
+class _deprecated_parameter_class: ...
+
+_deprecated_parameter: _deprecated_parameter_class
+
+@overload
+def delete_parameter(
+    since: str, name: str, func: None = ..., **kwargs: Unpack[DeprecationKwargs]
+) -> Callable[[Callable[_P, _R]], Callable[_P, _R]]: ...
+@overload
+def delete_parameter(
+    since: str, name: str, func: Callable[_P, _R], **kwargs: Unpack[DeprecationKwargs]
+) -> Callable[_P, _R]: ...
+@overload
+def make_keyword_only(
+    since: str, name: str, func: None = ...
+) -> Callable[[Callable[_P, _R]], Callable[_P, _R]]: ...
+@overload
+def make_keyword_only(
+    since: str, name: str, func: Callable[_P, _R]
+) -> Callable[_P, _R]: ...
+def deprecate_method_override(
+    method: Callable[_P, _R],
+    obj: object | type,
+    *,
+    allow_empty: bool = ...,
+    since: str,
+    **kwargs: Unpack[NamedDeprecationKwargs]
+) -> Callable[_P, _R]: ...
+def suppress_matplotlib_deprecation_warning() -> (
+    contextlib.AbstractContextManager[None]
+): ...

venv/lib/python3.13/site-packages/matplotlib/_blocking_input.py

@@ -0,0 +1,30 @@
+def blocking_input_loop(figure, event_names, timeout, handler):
+    """
+    Run *figure*'s event loop while listening to interactive events.
+
+    The events listed in *event_names* are passed to *handler*.
+
+    This function is used to implement `.Figure.waitforbuttonpress`,
+    `.Figure.ginput`, and `.Axes.clabel`.
+
+    Parameters
+    ----------
+    figure : `~matplotlib.figure.Figure`
+    event_names : list of str
+        The names of the events passed to *handler*.
+    timeout : float
+        If positive, the event loop is stopped after *timeout* seconds.
+    handler : Callable[[Event], Any]
+        Function called for each event; it can force an early exit of the event
+        loop by calling ``canvas.stop_event_loop()``.
+    """
+    if figure.canvas.manager:
+        figure.show()  # Ensure that the figure is shown if we are managing it.
+    # Connect the events to the on_event function call.
+    cids = [figure.canvas.mpl_connect(name, handler) for name in event_names]
+    try:
+        figure.canvas.start_event_loop(timeout)  # Start event loop.
+    finally:  # Run even on exception like ctrl-c.
+        # Disconnect the callbacks.
+        for cid in cids:
+            figure.canvas.mpl_disconnect(cid)

venv/lib/python3.13/site-packages/matplotlib/_c_internal_utils.pyi

@@ -0,0 +1,8 @@
+def display_is_valid() -> bool: ...
+def xdisplay_is_valid() -> bool: ...
+
+def Win32_GetForegroundWindow() -> int | None: ...
+def Win32_SetForegroundWindow(hwnd: int) -> None: ...
+def Win32_SetProcessDpiAwareness_max() -> None: ...
+def Win32_SetCurrentProcessExplicitAppUserModelID(appid: str) -> None: ...
+def Win32_GetCurrentProcessExplicitAppUserModelID() -> str | None: ...

venv/lib/python3.13/site-packages/matplotlib/_cm_multivar.py

@@ -0,0 +1,166 @@
+# auto-generated by https://github.com/trygvrad/multivariate_colormaps
+# date: 2024-05-28
+
+from .colors import LinearSegmentedColormap, MultivarColormap
+import matplotlib as mpl
+_LUTSIZE = mpl.rcParams['image.lut']
+
+_2VarAddA0_data = [[0.000, 0.000, 0.000],
+                   [0.020, 0.026, 0.031],
+                   [0.049, 0.068, 0.085],
+                   [0.075, 0.107, 0.135],
+                   [0.097, 0.144, 0.183],
+                   [0.116, 0.178, 0.231],
+                   [0.133, 0.212, 0.279],
+                   [0.148, 0.244, 0.326],
+                   [0.161, 0.276, 0.374],
+                   [0.173, 0.308, 0.422],
+                   [0.182, 0.339, 0.471],
+                   [0.190, 0.370, 0.521],
+                   [0.197, 0.400, 0.572],
+                   [0.201, 0.431, 0.623],
+                   [0.204, 0.461, 0.675],
+                   [0.204, 0.491, 0.728],
+                   [0.202, 0.520, 0.783],
+                   [0.197, 0.549, 0.838],
+                   [0.187, 0.577, 0.895]]
+
+_2VarAddA1_data = [[0.000, 0.000, 0.000],
+                   [0.030, 0.023, 0.018],
+                   [0.079, 0.060, 0.043],
+                   [0.125, 0.093, 0.065],
+                   [0.170, 0.123, 0.083],
+                   [0.213, 0.151, 0.098],
+                   [0.255, 0.177, 0.110],
+                   [0.298, 0.202, 0.120],
+                   [0.341, 0.226, 0.128],
+                   [0.384, 0.249, 0.134],
+                   [0.427, 0.271, 0.138],
+                   [0.472, 0.292, 0.141],
+                   [0.517, 0.313, 0.142],
+                   [0.563, 0.333, 0.141],
+                   [0.610, 0.353, 0.139],
+                   [0.658, 0.372, 0.134],
+                   [0.708, 0.390, 0.127],
+                   [0.759, 0.407, 0.118],
+                   [0.813, 0.423, 0.105]]
+
+_2VarSubA0_data = [[1.000, 1.000, 1.000],
+                   [0.959, 0.973, 0.986],
+                   [0.916, 0.948, 0.974],
+                   [0.874, 0.923, 0.965],
+                   [0.832, 0.899, 0.956],
+                   [0.790, 0.875, 0.948],
+                   [0.748, 0.852, 0.940],
+                   [0.707, 0.829, 0.934],
+                   [0.665, 0.806, 0.927],
+                   [0.624, 0.784, 0.921],
+                   [0.583, 0.762, 0.916],
+                   [0.541, 0.740, 0.910],
+                   [0.500, 0.718, 0.905],
+                   [0.457, 0.697, 0.901],
+                   [0.414, 0.675, 0.896],
+                   [0.369, 0.652, 0.892],
+                   [0.320, 0.629, 0.888],
+                   [0.266, 0.604, 0.884],
+                   [0.199, 0.574, 0.881]]
+
+_2VarSubA1_data = [[1.000, 1.000, 1.000],
+                   [0.982, 0.967, 0.955],
+                   [0.966, 0.935, 0.908],
+                   [0.951, 0.902, 0.860],
+                   [0.937, 0.870, 0.813],
+                   [0.923, 0.838, 0.765],
+                   [0.910, 0.807, 0.718],
+                   [0.898, 0.776, 0.671],
+                   [0.886, 0.745, 0.624],
+                   [0.874, 0.714, 0.577],
+                   [0.862, 0.683, 0.530],
+                   [0.851, 0.653, 0.483],
+                   [0.841, 0.622, 0.435],
+                   [0.831, 0.592, 0.388],
+                   [0.822, 0.561, 0.340],
+                   [0.813, 0.530, 0.290],
+                   [0.806, 0.498, 0.239],
+                   [0.802, 0.464, 0.184],
+                   [0.801, 0.426, 0.119]]
+
+_3VarAddA0_data = [[0.000, 0.000, 0.000],
+                   [0.018, 0.023, 0.028],
+                   [0.040, 0.056, 0.071],
+                   [0.059, 0.087, 0.110],
+                   [0.074, 0.114, 0.147],
+                   [0.086, 0.139, 0.183],
+                   [0.095, 0.163, 0.219],
+                   [0.101, 0.187, 0.255],
+                   [0.105, 0.209, 0.290],
+                   [0.107, 0.230, 0.326],
+                   [0.105, 0.251, 0.362],
+                   [0.101, 0.271, 0.398],
+                   [0.091, 0.291, 0.434],
+                   [0.075, 0.309, 0.471],
+                   [0.046, 0.325, 0.507],
+                   [0.021, 0.341, 0.546],
+                   [0.021, 0.363, 0.584],
+                   [0.022, 0.385, 0.622],
+                   [0.023, 0.408, 0.661]]
+
+_3VarAddA1_data = [[0.000, 0.000, 0.000],
+                   [0.020, 0.024, 0.016],
+                   [0.047, 0.058, 0.034],
+                   [0.072, 0.088, 0.048],
+                   [0.093, 0.116, 0.059],
+                   [0.113, 0.142, 0.067],
+                   [0.131, 0.167, 0.071],
+                   [0.149, 0.190, 0.074],
+                   [0.166, 0.213, 0.074],
+                   [0.182, 0.235, 0.072],
+                   [0.198, 0.256, 0.068],
+                   [0.215, 0.276, 0.061],
+                   [0.232, 0.296, 0.051],
+                   [0.249, 0.314, 0.037],
+                   [0.270, 0.330, 0.018],
+                   [0.288, 0.347, 0.000],
+                   [0.302, 0.369, 0.000],
+                   [0.315, 0.391, 0.000],
+                   [0.328, 0.414, 0.000]]
+
+_3VarAddA2_data = [[0.000, 0.000, 0.000],
+                   [0.029, 0.020, 0.023],
+                   [0.072, 0.045, 0.055],
+                   [0.111, 0.067, 0.084],
+                   [0.148, 0.085, 0.109],
+                   [0.184, 0.101, 0.133],
+                   [0.219, 0.115, 0.155],
+                   [0.254, 0.127, 0.176],
+                   [0.289, 0.138, 0.195],
+                   [0.323, 0.147, 0.214],
+                   [0.358, 0.155, 0.232],
+                   [0.393, 0.161, 0.250],
+                   [0.429, 0.166, 0.267],
+                   [0.467, 0.169, 0.283],
+                   [0.507, 0.168, 0.298],
+                   [0.546, 0.168, 0.313],
+                   [0.580, 0.172, 0.328],
+                   [0.615, 0.175, 0.341],
+                   [0.649, 0.178, 0.355]]
+
+cmaps = {
+    name: LinearSegmentedColormap.from_list(name, data, _LUTSIZE) for name, data in [
+        ('2VarAddA0', _2VarAddA0_data),
+        ('2VarAddA1', _2VarAddA1_data),
+        ('2VarSubA0', _2VarSubA0_data),
+        ('2VarSubA1', _2VarSubA1_data),
+        ('3VarAddA0', _3VarAddA0_data),
+        ('3VarAddA1', _3VarAddA1_data),
+        ('3VarAddA2', _3VarAddA2_data),
+    ]}
+
+cmap_families = {
+    '2VarAddA': MultivarColormap([cmaps[f'2VarAddA{i}'] for i in range(2)],
+                                 'sRGB_add', name='2VarAddA'),
+    '2VarSubA': MultivarColormap([cmaps[f'2VarSubA{i}'] for i in range(2)],
+                                 'sRGB_sub', name='2VarSubA'),
+    '3VarAddA': MultivarColormap([cmaps[f'3VarAddA{i}'] for i in range(3)],
+                                 'sRGB_add', name='3VarAddA'),
+}

venv/lib/python3.13/site-packages/matplotlib/_color_data.pyi

@@ -0,0 +1,6 @@
+from .typing import ColorType
+
+BASE_COLORS: dict[str, ColorType]
+TABLEAU_COLORS: dict[str, ColorType]
+XKCD_COLORS: dict[str, ColorType]
+CSS4_COLORS: dict[str, ColorType]

venv/lib/python3.13/site-packages/matplotlib/_constrained_layout.py

@@ -0,0 +1,805 @@
+"""
+Adjust subplot layouts so that there are no overlapping Axes or Axes
+decorations.  All Axes decorations are dealt with (labels, ticks, titles,
+ticklabels) and some dependent artists are also dealt with (colorbar,
+suptitle).
+
+Layout is done via `~matplotlib.gridspec`, with one constraint per gridspec,
+so it is possible to have overlapping Axes if the gridspecs overlap (i.e.
+using `~matplotlib.gridspec.GridSpecFromSubplotSpec`).  Axes placed using
+``figure.subplots()`` or ``figure.add_subplots()`` will participate in the
+layout.  Axes manually placed via ``figure.add_axes()`` will not.
+
+See Tutorial: :ref:`constrainedlayout_guide`
+
+General idea:
+-------------
+
+First, a figure has a gridspec that divides the figure into nrows and ncols,
+with heights and widths set by ``height_ratios`` and ``width_ratios``,
+often just set to 1 for an equal grid.
+
+Subplotspecs that are derived from this gridspec can contain either a
+``SubPanel``, a ``GridSpecFromSubplotSpec``, or an ``Axes``.  The ``SubPanel``
+and ``GridSpecFromSubplotSpec`` are dealt with recursively and each contain an
+analogous layout.
+
+Each ``GridSpec`` has a ``_layoutgrid`` attached to it.  The ``_layoutgrid``
+has the same logical layout as the ``GridSpec``.   Each row of the grid spec
+has a top and bottom "margin" and each column has a left and right "margin".
+The "inner" height of each row is constrained to be the same (or as modified
+by ``height_ratio``), and the "inner" width of each column is
+constrained to be the same (as modified by ``width_ratio``), where "inner"
+is the width or height of each column/row minus the size of the margins.
+
+Then the size of the margins for each row and column are determined as the
+max width of the decorators on each Axes that has decorators in that margin.
+For instance, a normal Axes would have a left margin that includes the
+left ticklabels, and the ylabel if it exists.  The right margin may include a
+colorbar, the bottom margin the xaxis decorations, and the top margin the
+title.
+
+With these constraints, the solver then finds appropriate bounds for the
+columns and rows.  It's possible that the margins take up the whole figure,
+in which case the algorithm is not applied and a warning is raised.
+
+See the tutorial :ref:`constrainedlayout_guide`
+for more discussion of the algorithm with examples.
+"""
+
+import logging
+
+import numpy as np
+
+from matplotlib import _api, artist as martist
+import matplotlib.transforms as mtransforms
+import matplotlib._layoutgrid as mlayoutgrid
+
+
+_log = logging.getLogger(__name__)
+
+
+######################################################
+def do_constrained_layout(fig, h_pad, w_pad,
+                          hspace=None, wspace=None, rect=(0, 0, 1, 1),
+                          compress=False):
+    """
+    Do the constrained_layout.  Called at draw time in
+     ``figure.constrained_layout()``
+
+    Parameters
+    ----------
+    fig : `~matplotlib.figure.Figure`
+        `.Figure` instance to do the layout in.
+
+    h_pad, w_pad : float
+      Padding around the Axes elements in figure-normalized units.
+
+    hspace, wspace : float
+       Fraction of the figure to dedicate to space between the
+       Axes.  These are evenly spread between the gaps between the Axes.
+       A value of 0.2 for a three-column layout would have a space
+       of 0.1 of the figure width between each column.
+       If h/wspace < h/w_pad, then the pads are used instead.
+
+    rect : tuple of 4 floats
+        Rectangle in figure coordinates to perform constrained layout in
+        [left, bottom, width, height], each from 0-1.
+
+    compress : bool
+        Whether to shift Axes so that white space in between them is
+        removed. This is useful for simple grids of fixed-aspect Axes (e.g.
+        a grid of images).
+
+    Returns
+    -------
+    layoutgrid : private debugging structure
+    """
+
+    renderer = fig._get_renderer()
+    # make layoutgrid tree...
+    layoutgrids = make_layoutgrids(fig, None, rect=rect)
+    if not layoutgrids['hasgrids']:
+        _api.warn_external('There are no gridspecs with layoutgrids. '
+                           'Possibly did not call parent GridSpec with the'
+                           ' "figure" keyword')
+        return
+
+    for _ in range(2):
+        # do the algorithm twice.  This has to be done because decorations
+        # change size after the first re-position (i.e. x/yticklabels get
+        # larger/smaller).  This second reposition tends to be much milder,
+        # so doing twice makes things work OK.
+
+        # make margins for all the Axes and subfigures in the
+        # figure.  Add margins for colorbars...
+        make_layout_margins(layoutgrids, fig, renderer, h_pad=h_pad,
+                            w_pad=w_pad, hspace=hspace, wspace=wspace)
+        make_margin_suptitles(layoutgrids, fig, renderer, h_pad=h_pad,
+                              w_pad=w_pad)
+
+        # if a layout is such that a columns (or rows) margin has no
+        # constraints, we need to make all such instances in the grid
+        # match in margin size.
+        match_submerged_margins(layoutgrids, fig)
+
+        # update all the variables in the layout.
+        layoutgrids[fig].update_variables()
+
+        warn_collapsed = ('constrained_layout not applied because '
+                          'axes sizes collapsed to zero.  Try making '
+                          'figure larger or Axes decorations smaller.')
+        if check_no_collapsed_axes(layoutgrids, fig):
+            reposition_axes(layoutgrids, fig, renderer, h_pad=h_pad,
+                            w_pad=w_pad, hspace=hspace, wspace=wspace)
+            if compress:
+                layoutgrids = compress_fixed_aspect(layoutgrids, fig)
+                layoutgrids[fig].update_variables()
+                if check_no_collapsed_axes(layoutgrids, fig):
+                    reposition_axes(layoutgrids, fig, renderer, h_pad=h_pad,
+                                    w_pad=w_pad, hspace=hspace, wspace=wspace)
+                else:
+                    _api.warn_external(warn_collapsed)
+
+                if ((suptitle := fig._suptitle) is not None and
+                        suptitle.get_in_layout() and suptitle._autopos):
+                    x, _ = suptitle.get_position()
+                    suptitle.set_position(
+                        (x, layoutgrids[fig].get_inner_bbox().y1 + h_pad))
+                    suptitle.set_verticalalignment('bottom')
+        else:
+            _api.warn_external(warn_collapsed)
+        reset_margins(layoutgrids, fig)
+    return layoutgrids
+
+
+def make_layoutgrids(fig, layoutgrids, rect=(0, 0, 1, 1)):
+    """
+    Make the layoutgrid tree.
+
+    (Sub)Figures get a layoutgrid so we can have figure margins.
+
+    Gridspecs that are attached to Axes get a layoutgrid so Axes
+    can have margins.
+    """
+
+    if layoutgrids is None:
+        layoutgrids = dict()
+        layoutgrids['hasgrids'] = False
+    if not hasattr(fig, '_parent'):
+        # top figure;  pass rect as parent to allow user-specified
+        # margins
+        layoutgrids[fig] = mlayoutgrid.LayoutGrid(parent=rect, name='figlb')
+    else:
+        # subfigure
+        gs = fig._subplotspec.get_gridspec()
+        # it is possible the gridspec containing this subfigure hasn't
+        # been added to the tree yet:
+        layoutgrids = make_layoutgrids_gs(layoutgrids, gs)
+        # add the layoutgrid for the subfigure:
+        parentlb = layoutgrids[gs]
+        layoutgrids[fig] = mlayoutgrid.LayoutGrid(
+            parent=parentlb,
+            name='panellb',
+            parent_inner=True,
+            nrows=1, ncols=1,
+            parent_pos=(fig._subplotspec.rowspan,
+                        fig._subplotspec.colspan))
+    # recursively do all subfigures in this figure...
+    for sfig in fig.subfigs:
+        layoutgrids = make_layoutgrids(sfig, layoutgrids)
+
+    # for each Axes at the local level add its gridspec:
+    for ax in fig._localaxes:
+        gs = ax.get_gridspec()
+        if gs is not None:
+            layoutgrids = make_layoutgrids_gs(layoutgrids, gs)
+
+    return layoutgrids
+
+
+def make_layoutgrids_gs(layoutgrids, gs):
+    """
+    Make the layoutgrid for a gridspec (and anything nested in the gridspec)
+    """
+
+    if gs in layoutgrids or gs.figure is None:
+        return layoutgrids
+    # in order to do constrained_layout there has to be at least *one*
+    # gridspec in the tree:
+    layoutgrids['hasgrids'] = True
+    if not hasattr(gs, '_subplot_spec'):
+        # normal gridspec
+        parent = layoutgrids[gs.figure]
+        layoutgrids[gs] = mlayoutgrid.LayoutGrid(
+                parent=parent,
+                parent_inner=True,
+                name='gridspec',
+                ncols=gs._ncols, nrows=gs._nrows,
+                width_ratios=gs.get_width_ratios(),
+                height_ratios=gs.get_height_ratios())
+    else:
+        # this is a gridspecfromsubplotspec:
+        subplot_spec = gs._subplot_spec
+        parentgs = subplot_spec.get_gridspec()
+        # if a nested gridspec it is possible the parent is not in there yet:
+        if parentgs not in layoutgrids:
+            layoutgrids = make_layoutgrids_gs(layoutgrids, parentgs)
+        subspeclb = layoutgrids[parentgs]
+        # gridspecfromsubplotspec need an outer container:
+        # get a unique representation:
+        rep = (gs, 'top')
+        if rep not in layoutgrids:
+            layoutgrids[rep] = mlayoutgrid.LayoutGrid(
+                parent=subspeclb,
+                name='top',
+                nrows=1, ncols=1,
+                parent_pos=(subplot_spec.rowspan, subplot_spec.colspan))
+        layoutgrids[gs] = mlayoutgrid.LayoutGrid(
+                parent=layoutgrids[rep],
+                name='gridspec',
+                nrows=gs._nrows, ncols=gs._ncols,
+                width_ratios=gs.get_width_ratios(),
+                height_ratios=gs.get_height_ratios())
+    return layoutgrids
+
+
+def check_no_collapsed_axes(layoutgrids, fig):
+    """
+    Check that no Axes have collapsed to zero size.
+    """
+    for sfig in fig.subfigs:
+        ok = check_no_collapsed_axes(layoutgrids, sfig)
+        if not ok:
+            return False
+    for ax in fig.axes:
+        gs = ax.get_gridspec()
+        if gs in layoutgrids:  # also implies gs is not None.
+            lg = layoutgrids[gs]
+            for i in range(gs.nrows):
+                for j in range(gs.ncols):
+                    bb = lg.get_inner_bbox(i, j)
+                    if bb.width <= 0 or bb.height <= 0:
+                        return False
+    return True
+
+
+def compress_fixed_aspect(layoutgrids, fig):
+    gs = None
+    for ax in fig.axes:
+        if ax.get_subplotspec() is None:
+            continue
+        ax.apply_aspect()
+        sub = ax.get_subplotspec()
+        _gs = sub.get_gridspec()
+        if gs is None:
+            gs = _gs
+            extraw = np.zeros(gs.ncols)
+            extrah = np.zeros(gs.nrows)
+        elif _gs != gs:
+            raise ValueError('Cannot do compressed layout if Axes are not'
+                             'all from the same gridspec')
+        orig = ax.get_position(original=True)
+        actual = ax.get_position(original=False)
+        dw = orig.width - actual.width
+        if dw > 0:
+            extraw[sub.colspan] = np.maximum(extraw[sub.colspan], dw)
+        dh = orig.height - actual.height
+        if dh > 0:
+            extrah[sub.rowspan] = np.maximum(extrah[sub.rowspan], dh)
+
+    if gs is None:
+        raise ValueError('Cannot do compressed layout if no Axes '
+                         'are part of a gridspec.')
+    w = np.sum(extraw) / 2
+    layoutgrids[fig].edit_margin_min('left', w)
+    layoutgrids[fig].edit_margin_min('right', w)
+
+    h = np.sum(extrah) / 2
+    layoutgrids[fig].edit_margin_min('top', h)
+    layoutgrids[fig].edit_margin_min('bottom', h)
+    return layoutgrids
+
+
+def get_margin_from_padding(obj, *, w_pad=0, h_pad=0,
+                            hspace=0, wspace=0):
+
+    ss = obj._subplotspec
+    gs = ss.get_gridspec()
+
+    if hasattr(gs, 'hspace'):
+        _hspace = (gs.hspace if gs.hspace is not None else hspace)
+        _wspace = (gs.wspace if gs.wspace is not None else wspace)
+    else:
+        _hspace = (gs._hspace if gs._hspace is not None else hspace)
+        _wspace = (gs._wspace if gs._wspace is not None else wspace)
+
+    _wspace = _wspace / 2
+    _hspace = _hspace / 2
+
+    nrows, ncols = gs.get_geometry()
+    # there are two margins for each direction.  The "cb"
+    # margins are for pads and colorbars, the non-"cb" are
+    # for the Axes decorations (labels etc).
+    margin = {'leftcb': w_pad, 'rightcb': w_pad,
+              'bottomcb': h_pad, 'topcb': h_pad,
+              'left': 0, 'right': 0,
+              'top': 0, 'bottom': 0}
+    if _wspace / ncols > w_pad:
+        if ss.colspan.start > 0:
+            margin['leftcb'] = _wspace / ncols
+        if ss.colspan.stop < ncols:
+            margin['rightcb'] = _wspace / ncols
+    if _hspace / nrows > h_pad:
+        if ss.rowspan.stop < nrows:
+            margin['bottomcb'] = _hspace / nrows
+        if ss.rowspan.start > 0:
+            margin['topcb'] = _hspace / nrows
+
+    return margin
+
+
+def make_layout_margins(layoutgrids, fig, renderer, *, w_pad=0, h_pad=0,
+                        hspace=0, wspace=0):
+    """
+    For each Axes, make a margin between the *pos* layoutbox and the
+    *axes* layoutbox be a minimum size that can accommodate the
+    decorations on the axis.
+
+    Then make room for colorbars.
+
+    Parameters
+    ----------
+    layoutgrids : dict
+    fig : `~matplotlib.figure.Figure`
+        `.Figure` instance to do the layout in.
+    renderer : `~matplotlib.backend_bases.RendererBase` subclass.
+        The renderer to use.
+    w_pad, h_pad : float, default: 0
+        Width and height padding (in fraction of figure).
+    hspace, wspace : float, default: 0
+        Width and height padding as fraction of figure size divided by
+        number of columns or rows.
+    """
+    for sfig in fig.subfigs:  # recursively make child panel margins
+        ss = sfig._subplotspec
+        gs = ss.get_gridspec()
+
+        make_layout_margins(layoutgrids, sfig, renderer,
+                            w_pad=w_pad, h_pad=h_pad,
+                            hspace=hspace, wspace=wspace)
+
+        margins = get_margin_from_padding(sfig, w_pad=0, h_pad=0,
+                                          hspace=hspace, wspace=wspace)
+        layoutgrids[gs].edit_outer_margin_mins(margins, ss)
+
+    for ax in fig._localaxes:
+        if not ax.get_subplotspec() or not ax.get_in_layout():
+            continue
+
+        ss = ax.get_subplotspec()
+        gs = ss.get_gridspec()
+
+        if gs not in layoutgrids:
+            return
+
+        margin = get_margin_from_padding(ax, w_pad=w_pad, h_pad=h_pad,
+                                         hspace=hspace, wspace=wspace)
+        pos, bbox = get_pos_and_bbox(ax, renderer)
+        # the margin is the distance between the bounding box of the Axes
+        # and its position (plus the padding from above)
+        margin['left'] += pos.x0 - bbox.x0
+        margin['right'] += bbox.x1 - pos.x1
+        # remember that rows are ordered from top:
+        margin['bottom'] += pos.y0 - bbox.y0
+        margin['top'] += bbox.y1 - pos.y1
+
+        # make margin for colorbars.  These margins go in the
+        # padding margin, versus the margin for Axes decorators.
+        for cbax in ax._colorbars:
+            # note pad is a fraction of the parent width...
+            pad = colorbar_get_pad(layoutgrids, cbax)
+            # colorbars can be child of more than one subplot spec:
+            cbp_rspan, cbp_cspan = get_cb_parent_spans(cbax)
+            loc = cbax._colorbar_info['location']
+            cbpos, cbbbox = get_pos_and_bbox(cbax, renderer)
+            if loc == 'right':
+                if cbp_cspan.stop == ss.colspan.stop:
+                    # only increase if the colorbar is on the right edge
+                    margin['rightcb'] += cbbbox.width + pad
+            elif loc == 'left':
+                if cbp_cspan.start == ss.colspan.start:
+                    # only increase if the colorbar is on the left edge
+                    margin['leftcb'] += cbbbox.width + pad
+            elif loc == 'top':
+                if cbp_rspan.start == ss.rowspan.start:
+                    margin['topcb'] += cbbbox.height + pad
+            else:
+                if cbp_rspan.stop == ss.rowspan.stop:
+                    margin['bottomcb'] += cbbbox.height + pad
+            # If the colorbars are wider than the parent box in the
+            # cross direction
+            if loc in ['top', 'bottom']:
+                if (cbp_cspan.start == ss.colspan.start and
+                        cbbbox.x0 < bbox.x0):
+                    margin['left'] += bbox.x0 - cbbbox.x0
+                if (cbp_cspan.stop == ss.colspan.stop and
+                        cbbbox.x1 > bbox.x1):
+                    margin['right'] += cbbbox.x1 - bbox.x1
+            # or taller:
+            if loc in ['left', 'right']:
+                if (cbp_rspan.stop == ss.rowspan.stop and
+                        cbbbox.y0 < bbox.y0):
+                    margin['bottom'] += bbox.y0 - cbbbox.y0
+                if (cbp_rspan.start == ss.rowspan.start and
+                        cbbbox.y1 > bbox.y1):
+                    margin['top'] += cbbbox.y1 - bbox.y1
+        # pass the new margins down to the layout grid for the solution...
+        layoutgrids[gs].edit_outer_margin_mins(margin, ss)
+
+    # make margins for figure-level legends:
+    for leg in fig.legends:
+        inv_trans_fig = None
+        if leg._outside_loc and leg._bbox_to_anchor is None:
+            if inv_trans_fig is None:
+                inv_trans_fig = fig.transFigure.inverted().transform_bbox
+            bbox = inv_trans_fig(leg.get_tightbbox(renderer))
+            w = bbox.width + 2 * w_pad
+            h = bbox.height + 2 * h_pad
+            legendloc = leg._outside_loc
+            if legendloc == 'lower':
+                layoutgrids[fig].edit_margin_min('bottom', h)
+            elif legendloc == 'upper':
+                layoutgrids[fig].edit_margin_min('top', h)
+            if legendloc == 'right':
+                layoutgrids[fig].edit_margin_min('right', w)
+            elif legendloc == 'left':
+                layoutgrids[fig].edit_margin_min('left', w)
+
+
+def make_margin_suptitles(layoutgrids, fig, renderer, *, w_pad=0, h_pad=0):
+    # Figure out how large the suptitle is and make the
+    # top level figure margin larger.
+
+    inv_trans_fig = fig.transFigure.inverted().transform_bbox
+    # get the h_pad and w_pad as distances in the local subfigure coordinates:
+    padbox = mtransforms.Bbox([[0, 0], [w_pad, h_pad]])
+    padbox = (fig.transFigure -
+              fig.transSubfigure).transform_bbox(padbox)
+    h_pad_local = padbox.height
+    w_pad_local = padbox.width
+
+    for sfig in fig.subfigs:
+        make_margin_suptitles(layoutgrids, sfig, renderer,
+                              w_pad=w_pad, h_pad=h_pad)
+
+    if fig._suptitle is not None and fig._suptitle.get_in_layout():
+        p = fig._suptitle.get_position()
+        if getattr(fig._suptitle, '_autopos', False):
+            fig._suptitle.set_position((p[0], 1 - h_pad_local))
+            bbox = inv_trans_fig(fig._suptitle.get_tightbbox(renderer))
+            layoutgrids[fig].edit_margin_min('top', bbox.height + 2 * h_pad)
+
+    if fig._supxlabel is not None and fig._supxlabel.get_in_layout():
+        p = fig._supxlabel.get_position()
+        if getattr(fig._supxlabel, '_autopos', False):
+            fig._supxlabel.set_position((p[0], h_pad_local))
+            bbox = inv_trans_fig(fig._supxlabel.get_tightbbox(renderer))
+            layoutgrids[fig].edit_margin_min('bottom',
+                                             bbox.height + 2 * h_pad)
+
+    if fig._supylabel is not None and fig._supylabel.get_in_layout():
+        p = fig._supylabel.get_position()
+        if getattr(fig._supylabel, '_autopos', False):
+            fig._supylabel.set_position((w_pad_local, p[1]))
+            bbox = inv_trans_fig(fig._supylabel.get_tightbbox(renderer))
+            layoutgrids[fig].edit_margin_min('left', bbox.width + 2 * w_pad)
+
+
+def match_submerged_margins(layoutgrids, fig):
+    """
+    Make the margins that are submerged inside an Axes the same size.
+
+    This allows Axes that span two columns (or rows) that are offset
+    from one another to have the same size.
+
+    This gives the proper layout for something like::
+        fig = plt.figure(constrained_layout=True)
+        axs = fig.subplot_mosaic("AAAB\nCCDD")
+
+    Without this routine, the Axes D will be wider than C, because the
+    margin width between the two columns in C has no width by default,
+    whereas the margins between the two columns of D are set by the
+    width of the margin between A and B. However, obviously the user would
+    like C and D to be the same size, so we need to add constraints to these
+    "submerged" margins.
+
+    This routine makes all the interior margins the same, and the spacing
+    between the three columns in A and the two column in C are all set to the
+    margins between the two columns of D.
+
+    See test_constrained_layout::test_constrained_layout12 for an example.
+    """
+
+    axsdone = []
+    for sfig in fig.subfigs:
+        axsdone += match_submerged_margins(layoutgrids, sfig)
+
+    axs = [a for a in fig.get_axes()
+           if (a.get_subplotspec() is not None and a.get_in_layout() and
+               a not in axsdone)]
+
+    for ax1 in axs:
+        ss1 = ax1.get_subplotspec()
+        if ss1.get_gridspec() not in layoutgrids:
+            axs.remove(ax1)
+            continue
+        lg1 = layoutgrids[ss1.get_gridspec()]
+
+        # interior columns:
+        if len(ss1.colspan) > 1:
+            maxsubl = np.max(
+                lg1.margin_vals['left'][ss1.colspan[1:]] +
+                lg1.margin_vals['leftcb'][ss1.colspan[1:]]
+            )
+            maxsubr = np.max(
+                lg1.margin_vals['right'][ss1.colspan[:-1]] +
+                lg1.margin_vals['rightcb'][ss1.colspan[:-1]]
+            )
+            for ax2 in axs:
+                ss2 = ax2.get_subplotspec()
+                lg2 = layoutgrids[ss2.get_gridspec()]
+                if lg2 is not None and len(ss2.colspan) > 1:
+                    maxsubl2 = np.max(
+                        lg2.margin_vals['left'][ss2.colspan[1:]] +
+                        lg2.margin_vals['leftcb'][ss2.colspan[1:]])
+                    if maxsubl2 > maxsubl:
+                        maxsubl = maxsubl2
+                    maxsubr2 = np.max(
+                        lg2.margin_vals['right'][ss2.colspan[:-1]] +
+                        lg2.margin_vals['rightcb'][ss2.colspan[:-1]])
+                    if maxsubr2 > maxsubr:
+                        maxsubr = maxsubr2
+            for i in ss1.colspan[1:]:
+                lg1.edit_margin_min('left', maxsubl, cell=i)
+            for i in ss1.colspan[:-1]:
+                lg1.edit_margin_min('right', maxsubr, cell=i)
+
+        # interior rows:
+        if len(ss1.rowspan) > 1:
+            maxsubt = np.max(
+                lg1.margin_vals['top'][ss1.rowspan[1:]] +
+                lg1.margin_vals['topcb'][ss1.rowspan[1:]]
+            )
+            maxsubb = np.max(
+                lg1.margin_vals['bottom'][ss1.rowspan[:-1]] +
+                lg1.margin_vals['bottomcb'][ss1.rowspan[:-1]]
+            )
+
+            for ax2 in axs:
+                ss2 = ax2.get_subplotspec()
+                lg2 = layoutgrids[ss2.get_gridspec()]
+                if lg2 is not None:
+                    if len(ss2.rowspan) > 1:
+                        maxsubt = np.max([np.max(
+                            lg2.margin_vals['top'][ss2.rowspan[1:]] +
+                            lg2.margin_vals['topcb'][ss2.rowspan[1:]]
+                        ), maxsubt])
+                        maxsubb = np.max([np.max(
+                            lg2.margin_vals['bottom'][ss2.rowspan[:-1]] +
+                            lg2.margin_vals['bottomcb'][ss2.rowspan[:-1]]
+                        ), maxsubb])
+            for i in ss1.rowspan[1:]:
+                lg1.edit_margin_min('top', maxsubt, cell=i)
+            for i in ss1.rowspan[:-1]:
+                lg1.edit_margin_min('bottom', maxsubb, cell=i)
+
+    return axs
+
+
+def get_cb_parent_spans(cbax):
+    """
+    Figure out which subplotspecs this colorbar belongs to.
+
+    Parameters
+    ----------
+    cbax : `~matplotlib.axes.Axes`
+        Axes for the colorbar.
+    """
+    rowstart = np.inf
+    rowstop = -np.inf
+    colstart = np.inf
+    colstop = -np.inf
+    for parent in cbax._colorbar_info['parents']:
+        ss = parent.get_subplotspec()
+        rowstart = min(ss.rowspan.start, rowstart)
+        rowstop = max(ss.rowspan.stop, rowstop)
+        colstart = min(ss.colspan.start, colstart)
+        colstop = max(ss.colspan.stop, colstop)
+
+    rowspan = range(rowstart, rowstop)
+    colspan = range(colstart, colstop)
+    return rowspan, colspan
+
+
+def get_pos_and_bbox(ax, renderer):
+    """
+    Get the position and the bbox for the Axes.
+
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+    renderer : `~matplotlib.backend_bases.RendererBase` subclass.
+
+    Returns
+    -------
+    pos : `~matplotlib.transforms.Bbox`
+        Position in figure coordinates.
+    bbox : `~matplotlib.transforms.Bbox`
+        Tight bounding box in figure coordinates.
+    """
+    fig = ax.get_figure(root=False)
+    pos = ax.get_position(original=True)
+    # pos is in panel co-ords, but we need in figure for the layout
+    pos = pos.transformed(fig.transSubfigure - fig.transFigure)
+    tightbbox = martist._get_tightbbox_for_layout_only(ax, renderer)
+    if tightbbox is None:
+        bbox = pos
+    else:
+        bbox = tightbbox.transformed(fig.transFigure.inverted())
+    return pos, bbox
+
+
+def reposition_axes(layoutgrids, fig, renderer, *,
+                    w_pad=0, h_pad=0, hspace=0, wspace=0):
+    """
+    Reposition all the Axes based on the new inner bounding box.
+    """
+    trans_fig_to_subfig = fig.transFigure - fig.transSubfigure
+    for sfig in fig.subfigs:
+        bbox = layoutgrids[sfig].get_outer_bbox()
+        sfig._redo_transform_rel_fig(
+            bbox=bbox.transformed(trans_fig_to_subfig))
+        reposition_axes(layoutgrids, sfig, renderer,
+                        w_pad=w_pad, h_pad=h_pad,
+                        wspace=wspace, hspace=hspace)
+
+    for ax in fig._localaxes:
+        if ax.get_subplotspec() is None or not ax.get_in_layout():
+            continue
+
+        # grid bbox is in Figure coordinates, but we specify in panel
+        # coordinates...
+        ss = ax.get_subplotspec()
+        gs = ss.get_gridspec()
+        if gs not in layoutgrids:
+            return
+
+        bbox = layoutgrids[gs].get_inner_bbox(rows=ss.rowspan,
+                                              cols=ss.colspan)
+
+        # transform from figure to panel for set_position:
+        newbbox = trans_fig_to_subfig.transform_bbox(bbox)
+        ax._set_position(newbbox)
+
+        # move the colorbars:
+        # we need to keep track of oldw and oldh if there is more than
+        # one colorbar:
+        offset = {'left': 0, 'right': 0, 'bottom': 0, 'top': 0}
+        for nn, cbax in enumerate(ax._colorbars[::-1]):
+            if ax == cbax._colorbar_info['parents'][0]:
+                reposition_colorbar(layoutgrids, cbax, renderer,
+                                    offset=offset)
+
+
+def reposition_colorbar(layoutgrids, cbax, renderer, *, offset=None):
+    """
+    Place the colorbar in its new place.
+
+    Parameters
+    ----------
+    layoutgrids : dict
+    cbax : `~matplotlib.axes.Axes`
+        Axes for the colorbar.
+    renderer : `~matplotlib.backend_bases.RendererBase` subclass.
+        The renderer to use.
+    offset : array-like
+        Offset the colorbar needs to be pushed to in order to
+        account for multiple colorbars.
+    """
+
+    parents = cbax._colorbar_info['parents']
+    gs = parents[0].get_gridspec()
+    fig = cbax.get_figure(root=False)
+    trans_fig_to_subfig = fig.transFigure - fig.transSubfigure
+
+    cb_rspans, cb_cspans = get_cb_parent_spans(cbax)
+    bboxparent = layoutgrids[gs].get_bbox_for_cb(rows=cb_rspans,
+                                                 cols=cb_cspans)
+    pb = layoutgrids[gs].get_inner_bbox(rows=cb_rspans, cols=cb_cspans)
+
+    location = cbax._colorbar_info['location']
+    anchor = cbax._colorbar_info['anchor']
+    fraction = cbax._colorbar_info['fraction']
+    aspect = cbax._colorbar_info['aspect']
+    shrink = cbax._colorbar_info['shrink']
+
+    cbpos, cbbbox = get_pos_and_bbox(cbax, renderer)
+
+    # Colorbar gets put at extreme edge of outer bbox of the subplotspec
+    # It needs to be moved in by: 1) a pad 2) its "margin" 3) by
+    # any colorbars already added at this location:
+    cbpad = colorbar_get_pad(layoutgrids, cbax)
+    if location in ('left', 'right'):
+        # fraction and shrink are fractions of parent
+        pbcb = pb.shrunk(fraction, shrink).anchored(anchor, pb)
+        # The colorbar is at the left side of the parent.  Need
+        # to translate to right (or left)
+        if location == 'right':
+            lmargin = cbpos.x0 - cbbbox.x0
+            dx = bboxparent.x1 - pbcb.x0 + offset['right']
+            dx += cbpad + lmargin
+            offset['right'] += cbbbox.width + cbpad
+            pbcb = pbcb.translated(dx, 0)
+        else:
+            lmargin = cbpos.x0 - cbbbox.x0
+            dx = bboxparent.x0 - pbcb.x0  # edge of parent
+            dx += -cbbbox.width - cbpad + lmargin - offset['left']
+            offset['left'] += cbbbox.width + cbpad
+            pbcb = pbcb.translated(dx, 0)
+    else:  # horizontal axes:
+        pbcb = pb.shrunk(shrink, fraction).anchored(anchor, pb)
+        if location == 'top':
+            bmargin = cbpos.y0 - cbbbox.y0
+            dy = bboxparent.y1 - pbcb.y0 + offset['top']
+            dy += cbpad + bmargin
+            offset['top'] += cbbbox.height + cbpad
+            pbcb = pbcb.translated(0, dy)
+        else:
+            bmargin = cbpos.y0 - cbbbox.y0
+            dy = bboxparent.y0 - pbcb.y0
+            dy += -cbbbox.height - cbpad + bmargin - offset['bottom']
+            offset['bottom'] += cbbbox.height + cbpad
+            pbcb = pbcb.translated(0, dy)
+
+    pbcb = trans_fig_to_subfig.transform_bbox(pbcb)
+    cbax.set_transform(fig.transSubfigure)
+    cbax._set_position(pbcb)
+    cbax.set_anchor(anchor)
+    if location in ['bottom', 'top']:
+        aspect = 1 / aspect
+    cbax.set_box_aspect(aspect)
+    cbax.set_aspect('auto')
+    return offset
+
+
+def reset_margins(layoutgrids, fig):
+    """
+    Reset the margins in the layoutboxes of *fig*.
+
+    Margins are usually set as a minimum, so if the figure gets smaller
+    the minimum needs to be zero in order for it to grow again.
+    """
+    for sfig in fig.subfigs:
+        reset_margins(layoutgrids, sfig)
+    for ax in fig.axes:
+        if ax.get_in_layout():
+            gs = ax.get_gridspec()
+            if gs in layoutgrids:  # also implies gs is not None.
+                layoutgrids[gs].reset_margins()
+    layoutgrids[fig].reset_margins()
+
+
+def colorbar_get_pad(layoutgrids, cax):
+    parents = cax._colorbar_info['parents']
+    gs = parents[0].get_gridspec()
+
+    cb_rspans, cb_cspans = get_cb_parent_spans(cax)
+    bboxouter = layoutgrids[gs].get_inner_bbox(rows=cb_rspans, cols=cb_cspans)
+
+    if cax._colorbar_info['location'] in ['right', 'left']:
+        size = bboxouter.width
+    else:
+        size = bboxouter.height
+
+    return cax._colorbar_info['pad'] * size

venv/lib/python3.13/site-packages/matplotlib/_docstring.py

@@ -0,0 +1,141 @@
+import inspect
+
+from . import _api
+
+
+def kwarg_doc(text):
+    """
+    Decorator for defining the kwdoc documentation of artist properties.
+
+    This decorator can be applied to artist property setter methods.
+    The given text is stored in a private attribute ``_kwarg_doc`` on
+    the method.  It is used to overwrite auto-generated documentation
+    in the *kwdoc list* for artists. The kwdoc list is used to document
+    ``**kwargs`` when they are properties of an artist. See e.g. the
+    ``**kwargs`` section in `.Axes.text`.
+
+    The text should contain the supported types, as well as the default
+    value if applicable, e.g.:
+
+        @_docstring.kwarg_doc("bool, default: :rc:`text.usetex`")
+        def set_usetex(self, usetex):
+
+    See Also
+    --------
+    matplotlib.artist.kwdoc
+
+    """
+    def decorator(func):
+        func._kwarg_doc = text
+        return func
+    return decorator
+
+
+class Substitution:
+    """
+    A decorator that performs %-substitution on an object's docstring.
+
+    This decorator should be robust even if ``obj.__doc__`` is None (for
+    example, if -OO was passed to the interpreter).
+
+    Usage: construct a docstring.Substitution with a sequence or dictionary
+    suitable for performing substitution; then decorate a suitable function
+    with the constructed object, e.g.::
+
+        sub_author_name = Substitution(author='Jason')
+
+        @sub_author_name
+        def some_function(x):
+            "%(author)s wrote this function"
+
+        # note that some_function.__doc__ is now "Jason wrote this function"
+
+    One can also use positional arguments::
+
+        sub_first_last_names = Substitution('Edgar Allen', 'Poe')
+
+        @sub_first_last_names
+        def some_function(x):
+            "%s %s wrote the Raven"
+    """
+    def __init__(self, *args, **kwargs):
+        if args and kwargs:
+            raise TypeError("Only positional or keyword args are allowed")
+        self.params = args or kwargs
+
+    def __call__(self, func):
+        if func.__doc__:
+            func.__doc__ = inspect.cleandoc(func.__doc__) % self.params
+        return func
+
+
+class _ArtistKwdocLoader(dict):
+    def __missing__(self, key):
+        if not key.endswith(":kwdoc"):
+            raise KeyError(key)
+        name = key[:-len(":kwdoc")]
+        from matplotlib.artist import Artist, kwdoc
+        try:
+            cls, = (cls for cls in _api.recursive_subclasses(Artist)
+                    if cls.__name__ == name)
+        except ValueError as e:
+            raise KeyError(key) from e
+        return self.setdefault(key, kwdoc(cls))
+
+
+class _ArtistPropertiesSubstitution:
+    """
+    A class to substitute formatted placeholders in docstrings.
+
+    This is realized in a single instance ``_docstring.interpd``.
+
+    Use `~._ArtistPropertiesSubstition.register` to define placeholders and
+    their substitution, e.g. ``_docstring.interpd.register(name="some value")``.
+
+    Use this as a decorator to apply the substitution::
+
+        @_docstring.interpd
+        def some_func():
+            '''Replace %(name)s.'''
+
+    Decorating a class triggers substitution both on the class docstring and
+    on the class' ``__init__`` docstring (which is a commonly required
+    pattern for Artist subclasses).
+
+    Substitutions of the form ``%(classname:kwdoc)s`` (ending with the
+    literal ":kwdoc" suffix) trigger lookup of an Artist subclass with the
+    given *classname*, and are substituted with the `.kwdoc` of that class.
+    """
+
+    def __init__(self):
+        self.params = _ArtistKwdocLoader()
+
+    def register(self, **kwargs):
+        """
+        Register substitutions.
+
+        ``_docstring.interpd.register(name="some value")`` makes "name" available
+        as a named parameter that will be replaced by "some value".
+        """
+        self.params.update(**kwargs)
+
+    def __call__(self, obj):
+        if obj.__doc__:
+            obj.__doc__ = inspect.cleandoc(obj.__doc__) % self.params
+        if isinstance(obj, type) and obj.__init__ != object.__init__:
+            self(obj.__init__)
+        return obj
+
+
+def copy(source):
+    """Copy a docstring from another source function (if present)."""
+    def do_copy(target):
+        if source.__doc__:
+            target.__doc__ = source.__doc__
+        return target
+    return do_copy
+
+
+# Create a decorator that will house the various docstring snippets reused
+# throughout Matplotlib.
+interpd = _ArtistPropertiesSubstitution()

venv/lib/python3.13/site-packages/matplotlib/_docstring.pyi

@@ -0,0 +1,34 @@
+from collections.abc import Callable
+from typing import Any, TypeVar, overload
+
+
+_T = TypeVar('_T')
+
+
+def kwarg_doc(text: str) -> Callable[[_T], _T]: ...
+
+
+class Substitution:
+    @overload
+    def __init__(self, *args: str): ...
+    @overload
+    def __init__(self, **kwargs: str): ...
+    def __call__(self, func: _T) -> _T: ...
+    def update(self, *args, **kwargs): ...  # type: ignore[no-untyped-def]
+
+
+class _ArtistKwdocLoader(dict[str, str]):
+    def __missing__(self, key: str) -> str: ...
+
+
+class _ArtistPropertiesSubstitution:
+    def __init__(self) -> None: ...
+    def register(self, **kwargs) -> None: ...
+    def __call__(self, obj: _T) -> _T: ...
+
+
+def copy(source: Any) -> Callable[[_T], _T]: ...
+
+
+dedent_interpd: _ArtistPropertiesSubstitution
+interpd: _ArtistPropertiesSubstitution

venv/lib/python3.13/site-packages/matplotlib/_enums.py

@@ -0,0 +1,177 @@
+"""
+Enums representing sets of strings that Matplotlib uses as input parameters.
+
+Matplotlib often uses simple data types like strings or tuples to define a
+concept; e.g. the line capstyle can be specified as one of 'butt', 'round',
+or 'projecting'. The classes in this module are used internally and serve to
+document these concepts formally.
+
+As an end-user you will not use these classes directly, but only the values
+they define.
+"""
+
+from enum import Enum
+from matplotlib import _docstring
+
+
+class JoinStyle(str, Enum):
+    """
+    Define how the connection between two line segments is drawn.
+
+    For a visual impression of each *JoinStyle*, `view these docs online
+    <JoinStyle>`, or run `JoinStyle.demo`.
+
+    Lines in Matplotlib are typically defined by a 1D `~.path.Path` and a
+    finite ``linewidth``, where the underlying 1D `~.path.Path` represents the
+    center of the stroked line.
+
+    By default, `~.backend_bases.GraphicsContextBase` defines the boundaries of
+    a stroked line to simply be every point within some radius,
+    ``linewidth/2``, away from any point of the center line. However, this
+    results in corners appearing "rounded", which may not be the desired
+    behavior if you are drawing, for example, a polygon or pointed star.
+
+    **Supported values:**
+
+    .. rst-class:: value-list
+
+        'miter'
+            the "arrow-tip" style. Each boundary of the filled-in area will
+            extend in a straight line parallel to the tangent vector of the
+            centerline at the point it meets the corner, until they meet in a
+            sharp point.
+        'round'
+            stokes every point within a radius of ``linewidth/2`` of the center
+            lines.
+        'bevel'
+            the "squared-off" style. It can be thought of as a rounded corner
+            where the "circular" part of the corner has been cut off.
+
+    .. note::
+
+        Very long miter tips are cut off (to form a *bevel*) after a
+        backend-dependent limit called the "miter limit", which specifies the
+        maximum allowed ratio of miter length to line width. For example, the
+        PDF backend uses the default value of 10 specified by the PDF standard,
+        while the SVG backend does not even specify the miter limit, resulting
+        in a default value of 4 per the SVG specification. Matplotlib does not
+        currently allow the user to adjust this parameter.
+
+        A more detailed description of the effect of a miter limit can be found
+        in the `Mozilla Developer Docs
+        <https://developer.mozilla.org/en-US/docs/Web/SVG/Attribute/stroke-miterlimit>`_
+
+    .. plot::
+        :alt: Demo of possible JoinStyle's
+
+        from matplotlib._enums import JoinStyle
+        JoinStyle.demo()
+
+    """
+
+    miter = "miter"
+    round = "round"
+    bevel = "bevel"
+
+    @staticmethod
+    def demo():
+        """Demonstrate how each JoinStyle looks for various join angles."""
+        import numpy as np
+        import matplotlib.pyplot as plt
+
+        def plot_angle(ax, x, y, angle, style):
+            phi = np.radians(angle)
+            xx = [x + .5, x, x + .5*np.cos(phi)]
+            yy = [y, y, y + .5*np.sin(phi)]
+            ax.plot(xx, yy, lw=12, color='tab:blue', solid_joinstyle=style)
+            ax.plot(xx, yy, lw=1, color='black')
+            ax.plot(xx[1], yy[1], 'o', color='tab:red', markersize=3)
+
+        fig, ax = plt.subplots(figsize=(5, 4), constrained_layout=True)
+        ax.set_title('Join style')
+        for x, style in enumerate(['miter', 'round', 'bevel']):
+            ax.text(x, 5, style)
+            for y, angle in enumerate([20, 45, 60, 90, 120]):
+                plot_angle(ax, x, y, angle, style)
+                if x == 0:
+                    ax.text(-1.3, y, f'{angle} degrees')
+        ax.set_xlim(-1.5, 2.75)
+        ax.set_ylim(-.5, 5.5)
+        ax.set_axis_off()
+        fig.show()
+
+
+JoinStyle.input_description = "{" \
+        + ", ".join([f"'{js.name}'" for js in JoinStyle]) \
+        + "}"
+
+
+class CapStyle(str, Enum):
+    r"""
+    Define how the two endpoints (caps) of an unclosed line are drawn.
+
+    How to draw the start and end points of lines that represent a closed curve
+    (i.e. that end in a `~.path.Path.CLOSEPOLY`) is controlled by the line's
+    `JoinStyle`. For all other lines, how the start and end points are drawn is
+    controlled by the *CapStyle*.
+
+    For a visual impression of each *CapStyle*, `view these docs online
+    <CapStyle>` or run `CapStyle.demo`.
+
+    By default, `~.backend_bases.GraphicsContextBase` draws a stroked line as
+    squared off at its endpoints.
+
+    **Supported values:**
+
+    .. rst-class:: value-list
+
+        'butt'
+            the line is squared off at its endpoint.
+        'projecting'
+            the line is squared off as in *butt*, but the filled in area
+            extends beyond the endpoint a distance of ``linewidth/2``.
+        'round'
+            like *butt*, but a semicircular cap is added to the end of the
+            line, of radius ``linewidth/2``.
+
+    .. plot::
+        :alt: Demo of possible CapStyle's
+
+        from matplotlib._enums import CapStyle
+        CapStyle.demo()
+
+    """
+    butt = "butt"
+    projecting = "projecting"
+    round = "round"
+
+    @staticmethod
+    def demo():
+        """Demonstrate how each CapStyle looks for a thick line segment."""
+        import matplotlib.pyplot as plt
+
+        fig = plt.figure(figsize=(4, 1.2))
+        ax = fig.add_axes([0, 0, 1, 0.8])
+        ax.set_title('Cap style')
+
+        for x, style in enumerate(['butt', 'round', 'projecting']):
+            ax.text(x+0.25, 0.85, style, ha='center')
+            xx = [x, x+0.5]
+            yy = [0, 0]
+            ax.plot(xx, yy, lw=12, color='tab:blue', solid_capstyle=style)
+            ax.plot(xx, yy, lw=1, color='black')
+            ax.plot(xx, yy, 'o', color='tab:red', markersize=3)
+
+        ax.set_ylim(-.5, 1.5)
+        ax.set_axis_off()
+        fig.show()
+
+
+CapStyle.input_description = "{" \
+        + ", ".join([f"'{cs.name}'" for cs in CapStyle]) \
+        + "}"
+
+_docstring.interpd.register(
+    JoinStyle=JoinStyle.input_description,
+    CapStyle=CapStyle.input_description,
+)

venv/lib/python3.13/site-packages/matplotlib/_enums.pyi

@@ -0,0 +1,19 @@
+from typing import cast
+from enum import Enum
+
+
+class JoinStyle(str, Enum):
+    miter = "miter"
+    round = "round"
+    bevel = "bevel"
+    @staticmethod
+    def demo() -> None: ...
+
+
+class CapStyle(str, Enum):
+    butt = "butt"
+    projecting = "projecting"
+    round = "round"
+
+    @staticmethod
+    def demo() -> None: ...