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evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/__init__.py

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+from . import axes_size as Size
+from .axes_divider import Divider, SubplotDivider, make_axes_locatable
+from .axes_grid import AxesGrid, Grid, ImageGrid
+
+from .parasite_axes import host_subplot, host_axes
+
+__all__ = ["Size",
+           "Divider", "SubplotDivider", "make_axes_locatable",
+           "AxesGrid", "Grid", "ImageGrid",
+           "host_subplot", "host_axes"]

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/anchored_artists.py

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+from matplotlib import _api, transforms
+from matplotlib.offsetbox import (AnchoredOffsetbox, AuxTransformBox,
+                                  DrawingArea, TextArea, VPacker)
+from matplotlib.patches import (Rectangle, Ellipse, ArrowStyle,
+                                FancyArrowPatch, PathPatch)
+from matplotlib.text import TextPath
+
+__all__ = ['AnchoredDrawingArea', 'AnchoredAuxTransformBox',
+           'AnchoredEllipse', 'AnchoredSizeBar', 'AnchoredDirectionArrows']
+
+
+class AnchoredDrawingArea(AnchoredOffsetbox):
+    def __init__(self, width, height, xdescent, ydescent,
+                 loc, pad=0.4, borderpad=0.5, prop=None, frameon=True,
+                 **kwargs):
+        """
+        An anchored container with a fixed size and fillable `.DrawingArea`.
+
+        Artists added to the *drawing_area* will have their coordinates
+        interpreted as pixels. Any transformations set on the artists will be
+        overridden.
+
+        Parameters
+        ----------
+        width, height : float
+            Width and height of the container, in pixels.
+        xdescent, ydescent : float
+            Descent of the container in the x- and y- direction, in pixels.
+        loc : str
+            Location of this artist.  Valid locations are
+            'upper left', 'upper center', 'upper right',
+            'center left', 'center', 'center right',
+            'lower left', 'lower center', 'lower right'.
+            For backward compatibility, numeric values are accepted as well.
+            See the parameter *loc* of `.Legend` for details.
+        pad : float, default: 0.4
+            Padding around the child objects, in fraction of the font size.
+        borderpad : float, default: 0.5
+            Border padding, in fraction of the font size.
+        prop : `~matplotlib.font_manager.FontProperties`, optional
+            Font property used as a reference for paddings.
+        frameon : bool, default: True
+            If True, draw a box around this artist.
+        **kwargs
+            Keyword arguments forwarded to `.AnchoredOffsetbox`.
+
+        Attributes
+        ----------
+        drawing_area : `~matplotlib.offsetbox.DrawingArea`
+            A container for artists to display.
+
+        Examples
+        --------
+        To display blue and red circles of different sizes in the upper right
+        of an Axes *ax*:
+
+        >>> ada = AnchoredDrawingArea(20, 20, 0, 0,
+        ...                           loc='upper right', frameon=False)
+        >>> ada.drawing_area.add_artist(Circle((10, 10), 10, fc="b"))
+        >>> ada.drawing_area.add_artist(Circle((30, 10), 5, fc="r"))
+        >>> ax.add_artist(ada)
+        """
+        self.da = DrawingArea(width, height, xdescent, ydescent)
+        self.drawing_area = self.da
+
+        super().__init__(
+            loc, pad=pad, borderpad=borderpad, child=self.da, prop=None,
+            frameon=frameon, **kwargs
+        )
+
+
+class AnchoredAuxTransformBox(AnchoredOffsetbox):
+    def __init__(self, transform, loc,
+                 pad=0.4, borderpad=0.5, prop=None, frameon=True, **kwargs):
+        """
+        An anchored container with transformed coordinates.
+
+        Artists added to the *drawing_area* are scaled according to the
+        coordinates of the transformation used. The dimensions of this artist
+        will scale to contain the artists added.
+
+        Parameters
+        ----------
+        transform : `~matplotlib.transforms.Transform`
+            The transformation object for the coordinate system in use, i.e.,
+            :attr:`matplotlib.axes.Axes.transData`.
+        loc : str
+            Location of this artist.  Valid locations are
+            'upper left', 'upper center', 'upper right',
+            'center left', 'center', 'center right',
+            'lower left', 'lower center', 'lower right'.
+            For backward compatibility, numeric values are accepted as well.
+            See the parameter *loc* of `.Legend` for details.
+        pad : float, default: 0.4
+            Padding around the child objects, in fraction of the font size.
+        borderpad : float, default: 0.5
+            Border padding, in fraction of the font size.
+        prop : `~matplotlib.font_manager.FontProperties`, optional
+            Font property used as a reference for paddings.
+        frameon : bool, default: True
+            If True, draw a box around this artist.
+        **kwargs
+            Keyword arguments forwarded to `.AnchoredOffsetbox`.
+
+        Attributes
+        ----------
+        drawing_area : `~matplotlib.offsetbox.AuxTransformBox`
+            A container for artists to display.
+
+        Examples
+        --------
+        To display an ellipse in the upper left, with a width of 0.1 and
+        height of 0.4 in data coordinates:
+
+        >>> box = AnchoredAuxTransformBox(ax.transData, loc='upper left')
+        >>> el = Ellipse((0, 0), width=0.1, height=0.4, angle=30)
+        >>> box.drawing_area.add_artist(el)
+        >>> ax.add_artist(box)
+        """
+        self.drawing_area = AuxTransformBox(transform)
+
+        super().__init__(loc, pad=pad, borderpad=borderpad,
+                         child=self.drawing_area, prop=prop, frameon=frameon,
+                         **kwargs)
+
+
+@_api.deprecated("3.8")
+class AnchoredEllipse(AnchoredOffsetbox):
+    def __init__(self, transform, width, height, angle, loc,
+                 pad=0.1, borderpad=0.1, prop=None, frameon=True, **kwargs):
+        """
+        Draw an anchored ellipse of a given size.
+
+        Parameters
+        ----------
+        transform : `~matplotlib.transforms.Transform`
+            The transformation object for the coordinate system in use, i.e.,
+            :attr:`matplotlib.axes.Axes.transData`.
+        width, height : float
+            Width and height of the ellipse, given in coordinates of
+            *transform*.
+        angle : float
+            Rotation of the ellipse, in degrees, anti-clockwise.
+        loc : str
+            Location of the ellipse.  Valid locations are
+            'upper left', 'upper center', 'upper right',
+            'center left', 'center', 'center right',
+            'lower left', 'lower center', 'lower right'.
+            For backward compatibility, numeric values are accepted as well.
+            See the parameter *loc* of `.Legend` for details.
+        pad : float, default: 0.1
+            Padding around the ellipse, in fraction of the font size.
+        borderpad : float, default: 0.1
+            Border padding, in fraction of the font size.
+        frameon : bool, default: True
+            If True, draw a box around the ellipse.
+        prop : `~matplotlib.font_manager.FontProperties`, optional
+            Font property used as a reference for paddings.
+        **kwargs
+            Keyword arguments forwarded to `.AnchoredOffsetbox`.
+
+        Attributes
+        ----------
+        ellipse : `~matplotlib.patches.Ellipse`
+            Ellipse patch drawn.
+        """
+        self._box = AuxTransformBox(transform)
+        self.ellipse = Ellipse((0, 0), width, height, angle=angle)
+        self._box.add_artist(self.ellipse)
+
+        super().__init__(loc, pad=pad, borderpad=borderpad, child=self._box,
+                         prop=prop, frameon=frameon, **kwargs)
+
+
+class AnchoredSizeBar(AnchoredOffsetbox):
+    def __init__(self, transform, size, label, loc,
+                 pad=0.1, borderpad=0.1, sep=2,
+                 frameon=True, size_vertical=0, color='black',
+                 label_top=False, fontproperties=None, fill_bar=None,
+                 **kwargs):
+        """
+        Draw a horizontal scale bar with a center-aligned label underneath.
+
+        Parameters
+        ----------
+        transform : `~matplotlib.transforms.Transform`
+            The transformation object for the coordinate system in use, i.e.,
+            :attr:`matplotlib.axes.Axes.transData`.
+        size : float
+            Horizontal length of the size bar, given in coordinates of
+            *transform*.
+        label : str
+            Label to display.
+        loc : str
+            Location of the size bar.  Valid locations are
+            'upper left', 'upper center', 'upper right',
+            'center left', 'center', 'center right',
+            'lower left', 'lower center', 'lower right'.
+            For backward compatibility, numeric values are accepted as well.
+            See the parameter *loc* of `.Legend` for details.
+        pad : float, default: 0.1
+            Padding around the label and size bar, in fraction of the font
+            size.
+        borderpad : float, default: 0.1
+            Border padding, in fraction of the font size.
+        sep : float, default: 2
+            Separation between the label and the size bar, in points.
+        frameon : bool, default: True
+            If True, draw a box around the horizontal bar and label.
+        size_vertical : float, default: 0
+            Vertical length of the size bar, given in coordinates of
+            *transform*.
+        color : str, default: 'black'
+            Color for the size bar and label.
+        label_top : bool, default: False
+            If True, the label will be over the size bar.
+        fontproperties : `~matplotlib.font_manager.FontProperties`, optional
+            Font properties for the label text.
+        fill_bar : bool, optional
+            If True and if *size_vertical* is nonzero, the size bar will
+            be filled in with the color specified by the size bar.
+            Defaults to True if *size_vertical* is greater than
+            zero and False otherwise.
+        **kwargs
+            Keyword arguments forwarded to `.AnchoredOffsetbox`.
+
+        Attributes
+        ----------
+        size_bar : `~matplotlib.offsetbox.AuxTransformBox`
+            Container for the size bar.
+        txt_label : `~matplotlib.offsetbox.TextArea`
+            Container for the label of the size bar.
+
+        Notes
+        -----
+        If *prop* is passed as a keyword argument, but *fontproperties* is
+        not, then *prop* is assumed to be the intended *fontproperties*.
+        Using both *prop* and *fontproperties* is not supported.
+
+        Examples
+        --------
+        >>> import matplotlib.pyplot as plt
+        >>> import numpy as np
+        >>> from mpl_toolkits.axes_grid1.anchored_artists import (
+        ...     AnchoredSizeBar)
+        >>> fig, ax = plt.subplots()
+        >>> ax.imshow(np.random.random((10, 10)))
+        >>> bar = AnchoredSizeBar(ax.transData, 3, '3 data units', 4)
+        >>> ax.add_artist(bar)
+        >>> fig.show()
+
+        Using all the optional parameters
+
+        >>> import matplotlib.font_manager as fm
+        >>> fontprops = fm.FontProperties(size=14, family='monospace')
+        >>> bar = AnchoredSizeBar(ax.transData, 3, '3 units', 4, pad=0.5,
+        ...                       sep=5, borderpad=0.5, frameon=False,
+        ...                       size_vertical=0.5, color='white',
+        ...                       fontproperties=fontprops)
+        """
+        if fill_bar is None:
+            fill_bar = size_vertical > 0
+
+        self.size_bar = AuxTransformBox(transform)
+        self.size_bar.add_artist(Rectangle((0, 0), size, size_vertical,
+                                           fill=fill_bar, facecolor=color,
+                                           edgecolor=color))
+
+        if fontproperties is None and 'prop' in kwargs:
+            fontproperties = kwargs.pop('prop')
+
+        if fontproperties is None:
+            textprops = {'color': color}
+        else:
+            textprops = {'color': color, 'fontproperties': fontproperties}
+
+        self.txt_label = TextArea(label, textprops=textprops)
+
+        if label_top:
+            _box_children = [self.txt_label, self.size_bar]
+        else:
+            _box_children = [self.size_bar, self.txt_label]
+
+        self._box = VPacker(children=_box_children,
+                            align="center",
+                            pad=0, sep=sep)
+
+        super().__init__(loc, pad=pad, borderpad=borderpad, child=self._box,
+                         prop=fontproperties, frameon=frameon, **kwargs)
+
+
+class AnchoredDirectionArrows(AnchoredOffsetbox):
+    def __init__(self, transform, label_x, label_y, length=0.15,
+                 fontsize=0.08, loc='upper left', angle=0, aspect_ratio=1,
+                 pad=0.4, borderpad=0.4, frameon=False, color='w', alpha=1,
+                 sep_x=0.01, sep_y=0, fontproperties=None, back_length=0.15,
+                 head_width=10, head_length=15, tail_width=2,
+                 text_props=None, arrow_props=None,
+                 **kwargs):
+        """
+        Draw two perpendicular arrows to indicate directions.
+
+        Parameters
+        ----------
+        transform : `~matplotlib.transforms.Transform`
+            The transformation object for the coordinate system in use, i.e.,
+            :attr:`matplotlib.axes.Axes.transAxes`.
+        label_x, label_y : str
+            Label text for the x and y arrows
+        length : float, default: 0.15
+            Length of the arrow, given in coordinates of *transform*.
+        fontsize : float, default: 0.08
+            Size of label strings, given in coordinates of *transform*.
+        loc : str, default: 'upper left'
+            Location of the arrow.  Valid locations are
+            'upper left', 'upper center', 'upper right',
+            'center left', 'center', 'center right',
+            'lower left', 'lower center', 'lower right'.
+            For backward compatibility, numeric values are accepted as well.
+            See the parameter *loc* of `.Legend` for details.
+        angle : float, default: 0
+            The angle of the arrows in degrees.
+        aspect_ratio : float, default: 1
+            The ratio of the length of arrow_x and arrow_y.
+            Negative numbers can be used to change the direction.
+        pad : float, default: 0.4
+            Padding around the labels and arrows, in fraction of the font size.
+        borderpad : float, default: 0.4
+            Border padding, in fraction of the font size.
+        frameon : bool, default: False
+            If True, draw a box around the arrows and labels.
+        color : str, default: 'white'
+            Color for the arrows and labels.
+        alpha : float, default: 1
+            Alpha values of the arrows and labels
+        sep_x, sep_y : float, default: 0.01 and 0 respectively
+            Separation between the arrows and labels in coordinates of
+            *transform*.
+        fontproperties : `~matplotlib.font_manager.FontProperties`, optional
+            Font properties for the label text.
+        back_length : float, default: 0.15
+            Fraction of the arrow behind the arrow crossing.
+        head_width : float, default: 10
+            Width of arrow head, sent to `.ArrowStyle`.
+        head_length : float, default: 15
+            Length of arrow head, sent to `.ArrowStyle`.
+        tail_width : float, default: 2
+            Width of arrow tail, sent to `.ArrowStyle`.
+        text_props, arrow_props : dict
+            Properties of the text and arrows, passed to `.TextPath` and
+            `.FancyArrowPatch`.
+        **kwargs
+            Keyword arguments forwarded to `.AnchoredOffsetbox`.
+
+        Attributes
+        ----------
+        arrow_x, arrow_y : `~matplotlib.patches.FancyArrowPatch`
+            Arrow x and y
+        text_path_x, text_path_y : `~matplotlib.text.TextPath`
+            Path for arrow labels
+        p_x, p_y : `~matplotlib.patches.PathPatch`
+            Patch for arrow labels
+        box : `~matplotlib.offsetbox.AuxTransformBox`
+            Container for the arrows and labels.
+
+        Notes
+        -----
+        If *prop* is passed as a keyword argument, but *fontproperties* is
+        not, then *prop* is assumed to be the intended *fontproperties*.
+        Using both *prop* and *fontproperties* is not supported.
+
+        Examples
+        --------
+        >>> import matplotlib.pyplot as plt
+        >>> import numpy as np
+        >>> from mpl_toolkits.axes_grid1.anchored_artists import (
+        ...     AnchoredDirectionArrows)
+        >>> fig, ax = plt.subplots()
+        >>> ax.imshow(np.random.random((10, 10)))
+        >>> arrows = AnchoredDirectionArrows(ax.transAxes, '111', '110')
+        >>> ax.add_artist(arrows)
+        >>> fig.show()
+
+        Using several of the optional parameters, creating downward pointing
+        arrow and high contrast text labels.
+
+        >>> import matplotlib.font_manager as fm
+        >>> fontprops = fm.FontProperties(family='monospace')
+        >>> arrows = AnchoredDirectionArrows(ax.transAxes, 'East', 'South',
+        ...                                  loc='lower left', color='k',
+        ...                                  aspect_ratio=-1, sep_x=0.02,
+        ...                                  sep_y=-0.01,
+        ...                                  text_props={'ec':'w', 'fc':'k'},
+        ...                                  fontproperties=fontprops)
+        """
+        if arrow_props is None:
+            arrow_props = {}
+
+        if text_props is None:
+            text_props = {}
+
+        arrowstyle = ArrowStyle("Simple",
+                                head_width=head_width,
+                                head_length=head_length,
+                                tail_width=tail_width)
+
+        if fontproperties is None and 'prop' in kwargs:
+            fontproperties = kwargs.pop('prop')
+
+        if 'color' not in arrow_props:
+            arrow_props['color'] = color
+
+        if 'alpha' not in arrow_props:
+            arrow_props['alpha'] = alpha
+
+        if 'color' not in text_props:
+            text_props['color'] = color
+
+        if 'alpha' not in text_props:
+            text_props['alpha'] = alpha
+
+        t_start = transform
+        t_end = t_start + transforms.Affine2D().rotate_deg(angle)
+
+        self.box = AuxTransformBox(t_end)
+
+        length_x = length
+        length_y = length*aspect_ratio
+
+        self.arrow_x = FancyArrowPatch(
+                (0, back_length*length_y),
+                (length_x, back_length*length_y),
+                arrowstyle=arrowstyle,
+                shrinkA=0.0,
+                shrinkB=0.0,
+                **arrow_props)
+
+        self.arrow_y = FancyArrowPatch(
+                (back_length*length_x, 0),
+                (back_length*length_x, length_y),
+                arrowstyle=arrowstyle,
+                shrinkA=0.0,
+                shrinkB=0.0,
+                **arrow_props)
+
+        self.box.add_artist(self.arrow_x)
+        self.box.add_artist(self.arrow_y)
+
+        text_path_x = TextPath((
+            length_x+sep_x, back_length*length_y+sep_y), label_x,
+            size=fontsize, prop=fontproperties)
+        self.p_x = PathPatch(text_path_x, transform=t_start, **text_props)
+        self.box.add_artist(self.p_x)
+
+        text_path_y = TextPath((
+            length_x*back_length+sep_x, length_y*(1-back_length)+sep_y),
+            label_y, size=fontsize, prop=fontproperties)
+        self.p_y = PathPatch(text_path_y, **text_props)
+        self.box.add_artist(self.p_y)
+
+        super().__init__(loc, pad=pad, borderpad=borderpad, child=self.box,
+                         frameon=frameon, **kwargs)

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/axes_divider.py

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+"""
+Helper classes to adjust the positions of multiple axes at drawing time.
+"""
+
+import functools
+
+import numpy as np
+
+import matplotlib as mpl
+from matplotlib import _api
+from matplotlib.gridspec import SubplotSpec
+import matplotlib.transforms as mtransforms
+from . import axes_size as Size
+
+
+class Divider:
+    """
+    An Axes positioning class.
+
+    The divider is initialized with lists of horizontal and vertical sizes
+    (:mod:`mpl_toolkits.axes_grid1.axes_size`) based on which a given
+    rectangular area will be divided.
+
+    The `new_locator` method then creates a callable object
+    that can be used as the *axes_locator* of the axes.
+    """
+
+    def __init__(self, fig, pos, horizontal, vertical,
+                 aspect=None, anchor="C"):
+        """
+        Parameters
+        ----------
+        fig : Figure
+        pos : tuple of 4 floats
+            Position of the rectangle that will be divided.
+        horizontal : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`
+            Sizes for horizontal division.
+        vertical : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`
+            Sizes for vertical division.
+        aspect : bool, optional
+            Whether overall rectangular area is reduced so that the relative
+            part of the horizontal and vertical scales have the same scale.
+        anchor : (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', 'N', \
+'NW', 'W'}, default: 'C'
+            Placement of the reduced rectangle, when *aspect* is True.
+        """
+
+        self._fig = fig
+        self._pos = pos
+        self._horizontal = horizontal
+        self._vertical = vertical
+        self._anchor = anchor
+        self.set_anchor(anchor)
+        self._aspect = aspect
+        self._xrefindex = 0
+        self._yrefindex = 0
+        self._locator = None
+
+    def get_horizontal_sizes(self, renderer):
+        return np.array([s.get_size(renderer) for s in self.get_horizontal()])
+
+    def get_vertical_sizes(self, renderer):
+        return np.array([s.get_size(renderer) for s in self.get_vertical()])
+
+    def set_position(self, pos):
+        """
+        Set the position of the rectangle.
+
+        Parameters
+        ----------
+        pos : tuple of 4 floats
+            position of the rectangle that will be divided
+        """
+        self._pos = pos
+
+    def get_position(self):
+        """Return the position of the rectangle."""
+        return self._pos
+
+    def set_anchor(self, anchor):
+        """
+        Parameters
+        ----------
+        anchor : (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', 'N', \
+'NW', 'W'}
+            Either an (*x*, *y*) pair of relative coordinates (0 is left or
+            bottom, 1 is right or top), 'C' (center), or a cardinal direction
+            ('SW', southwest, is bottom left, etc.).
+
+        See Also
+        --------
+        .Axes.set_anchor
+        """
+        if isinstance(anchor, str):
+            _api.check_in_list(mtransforms.Bbox.coefs, anchor=anchor)
+        elif not isinstance(anchor, (tuple, list)) or len(anchor) != 2:
+            raise TypeError("anchor must be str or 2-tuple")
+        self._anchor = anchor
+
+    def get_anchor(self):
+        """Return the anchor."""
+        return self._anchor
+
+    def get_subplotspec(self):
+        return None
+
+    def set_horizontal(self, h):
+        """
+        Parameters
+        ----------
+        h : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`
+            sizes for horizontal division
+        """
+        self._horizontal = h
+
+    def get_horizontal(self):
+        """Return horizontal sizes."""
+        return self._horizontal
+
+    def set_vertical(self, v):
+        """
+        Parameters
+        ----------
+        v : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`
+            sizes for vertical division
+        """
+        self._vertical = v
+
+    def get_vertical(self):
+        """Return vertical sizes."""
+        return self._vertical
+
+    def set_aspect(self, aspect=False):
+        """
+        Parameters
+        ----------
+        aspect : bool
+        """
+        self._aspect = aspect
+
+    def get_aspect(self):
+        """Return aspect."""
+        return self._aspect
+
+    def set_locator(self, _locator):
+        self._locator = _locator
+
+    def get_locator(self):
+        return self._locator
+
+    def get_position_runtime(self, ax, renderer):
+        if self._locator is None:
+            return self.get_position()
+        else:
+            return self._locator(ax, renderer).bounds
+
+    @staticmethod
+    def _calc_k(sizes, total):
+        # sizes is a (n, 2) array of (rel_size, abs_size); this method finds
+        # the k factor such that sum(rel_size * k + abs_size) == total.
+        rel_sum, abs_sum = sizes.sum(0)
+        return (total - abs_sum) / rel_sum if rel_sum else 0
+
+    @staticmethod
+    def _calc_offsets(sizes, k):
+        # Apply k factors to (n, 2) sizes array of (rel_size, abs_size); return
+        # the resulting cumulative offset positions.
+        return np.cumsum([0, *(sizes @ [k, 1])])
+
+    def new_locator(self, nx, ny, nx1=None, ny1=None):
+        """
+        Return an axes locator callable for the specified cell.
+
+        Parameters
+        ----------
+        nx, nx1 : int
+            Integers specifying the column-position of the
+            cell. When *nx1* is None, a single *nx*-th column is
+            specified. Otherwise, location of columns spanning between *nx*
+            to *nx1* (but excluding *nx1*-th column) is specified.
+        ny, ny1 : int
+            Same as *nx* and *nx1*, but for row positions.
+        """
+        if nx1 is None:
+            nx1 = nx + 1
+        if ny1 is None:
+            ny1 = ny + 1
+        # append_size("left") adds a new size at the beginning of the
+        # horizontal size lists; this shift transforms e.g.
+        # new_locator(nx=2, ...) into effectively new_locator(nx=3, ...).  To
+        # take that into account, instead of recording nx, we record
+        # nx-self._xrefindex, where _xrefindex is shifted by 1 by each
+        # append_size("left"), and re-add self._xrefindex back to nx in
+        # _locate, when the actual axes position is computed.  Ditto for y.
+        xref = self._xrefindex
+        yref = self._yrefindex
+        locator = functools.partial(
+            self._locate, nx - xref, ny - yref, nx1 - xref, ny1 - yref)
+        locator.get_subplotspec = self.get_subplotspec
+        return locator
+
+    @_api.deprecated(
+        "3.8", alternative="divider.new_locator(...)(ax, renderer)")
+    def locate(self, nx, ny, nx1=None, ny1=None, axes=None, renderer=None):
+        """
+        Implementation of ``divider.new_locator().__call__``.
+
+        Parameters
+        ----------
+        nx, nx1 : int
+            Integers specifying the column-position of the cell. When *nx1* is
+            None, a single *nx*-th column is specified. Otherwise, the
+            location of columns spanning between *nx* to *nx1* (but excluding
+            *nx1*-th column) is specified.
+        ny, ny1 : int
+            Same as *nx* and *nx1*, but for row positions.
+        axes
+        renderer
+        """
+        xref = self._xrefindex
+        yref = self._yrefindex
+        return self._locate(
+            nx - xref, (nx + 1 if nx1 is None else nx1) - xref,
+            ny - yref, (ny + 1 if ny1 is None else ny1) - yref,
+            axes, renderer)
+
+    def _locate(self, nx, ny, nx1, ny1, axes, renderer):
+        """
+        Implementation of ``divider.new_locator().__call__``.
+
+        The axes locator callable returned by ``new_locator()`` is created as
+        a `functools.partial` of this method with *nx*, *ny*, *nx1*, and *ny1*
+        specifying the requested cell.
+        """
+        nx += self._xrefindex
+        nx1 += self._xrefindex
+        ny += self._yrefindex
+        ny1 += self._yrefindex
+
+        fig_w, fig_h = self._fig.bbox.size / self._fig.dpi
+        x, y, w, h = self.get_position_runtime(axes, renderer)
+
+        hsizes = self.get_horizontal_sizes(renderer)
+        vsizes = self.get_vertical_sizes(renderer)
+        k_h = self._calc_k(hsizes, fig_w * w)
+        k_v = self._calc_k(vsizes, fig_h * h)
+
+        if self.get_aspect():
+            k = min(k_h, k_v)
+            ox = self._calc_offsets(hsizes, k)
+            oy = self._calc_offsets(vsizes, k)
+
+            ww = (ox[-1] - ox[0]) / fig_w
+            hh = (oy[-1] - oy[0]) / fig_h
+            pb = mtransforms.Bbox.from_bounds(x, y, w, h)
+            pb1 = mtransforms.Bbox.from_bounds(x, y, ww, hh)
+            x0, y0 = pb1.anchored(self.get_anchor(), pb).p0
+
+        else:
+            ox = self._calc_offsets(hsizes, k_h)
+            oy = self._calc_offsets(vsizes, k_v)
+            x0, y0 = x, y
+
+        if nx1 is None:
+            nx1 = -1
+        if ny1 is None:
+            ny1 = -1
+
+        x1, w1 = x0 + ox[nx] / fig_w, (ox[nx1] - ox[nx]) / fig_w
+        y1, h1 = y0 + oy[ny] / fig_h, (oy[ny1] - oy[ny]) / fig_h
+
+        return mtransforms.Bbox.from_bounds(x1, y1, w1, h1)
+
+    def append_size(self, position, size):
+        _api.check_in_list(["left", "right", "bottom", "top"],
+                           position=position)
+        if position == "left":
+            self._horizontal.insert(0, size)
+            self._xrefindex += 1
+        elif position == "right":
+            self._horizontal.append(size)
+        elif position == "bottom":
+            self._vertical.insert(0, size)
+            self._yrefindex += 1
+        else:  # 'top'
+            self._vertical.append(size)
+
+    def add_auto_adjustable_area(self, use_axes, pad=0.1, adjust_dirs=None):
+        """
+        Add auto-adjustable padding around *use_axes* to take their decorations
+        (title, labels, ticks, ticklabels) into account during layout.
+
+        Parameters
+        ----------
+        use_axes : `~matplotlib.axes.Axes` or list of `~matplotlib.axes.Axes`
+            The Axes whose decorations are taken into account.
+        pad : float, default: 0.1
+            Additional padding in inches.
+        adjust_dirs : list of {"left", "right", "bottom", "top"}, optional
+            The sides where padding is added; defaults to all four sides.
+        """
+        if adjust_dirs is None:
+            adjust_dirs = ["left", "right", "bottom", "top"]
+        for d in adjust_dirs:
+            self.append_size(d, Size._AxesDecorationsSize(use_axes, d) + pad)
+
+
+@_api.deprecated("3.8")
+class AxesLocator:
+    """
+    A callable object which returns the position and size of a given
+    `.AxesDivider` cell.
+    """
+
+    def __init__(self, axes_divider, nx, ny, nx1=None, ny1=None):
+        """
+        Parameters
+        ----------
+        axes_divider : `~mpl_toolkits.axes_grid1.axes_divider.AxesDivider`
+        nx, nx1 : int
+            Integers specifying the column-position of the
+            cell. When *nx1* is None, a single *nx*-th column is
+            specified. Otherwise, location of columns spanning between *nx*
+            to *nx1* (but excluding *nx1*-th column) is specified.
+        ny, ny1 : int
+            Same as *nx* and *nx1*, but for row positions.
+        """
+        self._axes_divider = axes_divider
+
+        _xrefindex = axes_divider._xrefindex
+        _yrefindex = axes_divider._yrefindex
+
+        self._nx, self._ny = nx - _xrefindex, ny - _yrefindex
+
+        if nx1 is None:
+            nx1 = len(self._axes_divider)
+        if ny1 is None:
+            ny1 = len(self._axes_divider[0])
+
+        self._nx1 = nx1 - _xrefindex
+        self._ny1 = ny1 - _yrefindex
+
+    def __call__(self, axes, renderer):
+
+        _xrefindex = self._axes_divider._xrefindex
+        _yrefindex = self._axes_divider._yrefindex
+
+        return self._axes_divider.locate(self._nx + _xrefindex,
+                                         self._ny + _yrefindex,
+                                         self._nx1 + _xrefindex,
+                                         self._ny1 + _yrefindex,
+                                         axes,
+                                         renderer)
+
+    def get_subplotspec(self):
+        return self._axes_divider.get_subplotspec()
+
+
+class SubplotDivider(Divider):
+    """
+    The Divider class whose rectangle area is specified as a subplot geometry.
+    """
+
+    def __init__(self, fig, *args, horizontal=None, vertical=None,
+                 aspect=None, anchor='C'):
+        """
+        Parameters
+        ----------
+        fig : `~matplotlib.figure.Figure`
+
+        *args : tuple (*nrows*, *ncols*, *index*) or int
+            The array of subplots in the figure has dimensions ``(nrows,
+            ncols)``, and *index* is the index of the subplot being created.
+            *index* starts at 1 in the upper left corner and increases to the
+            right.
+
+            If *nrows*, *ncols*, and *index* are all single digit numbers, then
+            *args* can be passed as a single 3-digit number (e.g. 234 for
+            (2, 3, 4)).
+        horizontal : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`, optional
+            Sizes for horizontal division.
+        vertical : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`, optional
+            Sizes for vertical division.
+        aspect : bool, optional
+            Whether overall rectangular area is reduced so that the relative
+            part of the horizontal and vertical scales have the same scale.
+        anchor : (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', 'N', \
+'NW', 'W'}, default: 'C'
+            Placement of the reduced rectangle, when *aspect* is True.
+        """
+        self.figure = fig
+        super().__init__(fig, [0, 0, 1, 1],
+                         horizontal=horizontal or [], vertical=vertical or [],
+                         aspect=aspect, anchor=anchor)
+        self.set_subplotspec(SubplotSpec._from_subplot_args(fig, args))
+
+    def get_position(self):
+        """Return the bounds of the subplot box."""
+        return self.get_subplotspec().get_position(self.figure).bounds
+
+    def get_subplotspec(self):
+        """Get the SubplotSpec instance."""
+        return self._subplotspec
+
+    def set_subplotspec(self, subplotspec):
+        """Set the SubplotSpec instance."""
+        self._subplotspec = subplotspec
+        self.set_position(subplotspec.get_position(self.figure))
+
+
+class AxesDivider(Divider):
+    """
+    Divider based on the preexisting axes.
+    """
+
+    def __init__(self, axes, xref=None, yref=None):
+        """
+        Parameters
+        ----------
+        axes : :class:`~matplotlib.axes.Axes`
+        xref
+        yref
+        """
+        self._axes = axes
+        if xref is None:
+            self._xref = Size.AxesX(axes)
+        else:
+            self._xref = xref
+        if yref is None:
+            self._yref = Size.AxesY(axes)
+        else:
+            self._yref = yref
+
+        super().__init__(fig=axes.get_figure(), pos=None,
+                         horizontal=[self._xref], vertical=[self._yref],
+                         aspect=None, anchor="C")
+
+    def _get_new_axes(self, *, axes_class=None, **kwargs):
+        axes = self._axes
+        if axes_class is None:
+            axes_class = type(axes)
+        return axes_class(axes.get_figure(), axes.get_position(original=True),
+                          **kwargs)
+
+    def new_horizontal(self, size, pad=None, pack_start=False, **kwargs):
+        """
+        Helper method for ``append_axes("left")`` and ``append_axes("right")``.
+
+        See the documentation of `append_axes` for more details.
+
+        :meta private:
+        """
+        if pad is None:
+            pad = mpl.rcParams["figure.subplot.wspace"] * self._xref
+        pos = "left" if pack_start else "right"
+        if pad:
+            if not isinstance(pad, Size._Base):
+                pad = Size.from_any(pad, fraction_ref=self._xref)
+            self.append_size(pos, pad)
+        if not isinstance(size, Size._Base):
+            size = Size.from_any(size, fraction_ref=self._xref)
+        self.append_size(pos, size)
+        locator = self.new_locator(
+            nx=0 if pack_start else len(self._horizontal) - 1,
+            ny=self._yrefindex)
+        ax = self._get_new_axes(**kwargs)
+        ax.set_axes_locator(locator)
+        return ax
+
+    def new_vertical(self, size, pad=None, pack_start=False, **kwargs):
+        """
+        Helper method for ``append_axes("top")`` and ``append_axes("bottom")``.
+
+        See the documentation of `append_axes` for more details.
+
+        :meta private:
+        """
+        if pad is None:
+            pad = mpl.rcParams["figure.subplot.hspace"] * self._yref
+        pos = "bottom" if pack_start else "top"
+        if pad:
+            if not isinstance(pad, Size._Base):
+                pad = Size.from_any(pad, fraction_ref=self._yref)
+            self.append_size(pos, pad)
+        if not isinstance(size, Size._Base):
+            size = Size.from_any(size, fraction_ref=self._yref)
+        self.append_size(pos, size)
+        locator = self.new_locator(
+            nx=self._xrefindex,
+            ny=0 if pack_start else len(self._vertical) - 1)
+        ax = self._get_new_axes(**kwargs)
+        ax.set_axes_locator(locator)
+        return ax
+
+    def append_axes(self, position, size, pad=None, *, axes_class=None,
+                    **kwargs):
+        """
+        Add a new axes on a given side of the main axes.
+
+        Parameters
+        ----------
+        position : {"left", "right", "bottom", "top"}
+            Where the new axes is positioned relative to the main axes.
+        size : :mod:`~mpl_toolkits.axes_grid1.axes_size` or float or str
+            The axes width or height.  float or str arguments are interpreted
+            as ``axes_size.from_any(size, AxesX(<main_axes>))`` for left or
+            right axes, and likewise with ``AxesY`` for bottom or top axes.
+        pad : :mod:`~mpl_toolkits.axes_grid1.axes_size` or float or str
+            Padding between the axes.  float or str arguments are interpreted
+            as for *size*.  Defaults to :rc:`figure.subplot.wspace` times the
+            main Axes width (left or right axes) or :rc:`figure.subplot.hspace`
+            times the main Axes height (bottom or top axes).
+        axes_class : subclass type of `~.axes.Axes`, optional
+            The type of the new axes.  Defaults to the type of the main axes.
+        **kwargs
+            All extra keywords arguments are passed to the created axes.
+        """
+        create_axes, pack_start = _api.check_getitem({
+            "left": (self.new_horizontal, True),
+            "right": (self.new_horizontal, False),
+            "bottom": (self.new_vertical, True),
+            "top": (self.new_vertical, False),
+        }, position=position)
+        ax = create_axes(
+            size, pad, pack_start=pack_start, axes_class=axes_class, **kwargs)
+        self._fig.add_axes(ax)
+        return ax
+
+    def get_aspect(self):
+        if self._aspect is None:
+            aspect = self._axes.get_aspect()
+            if aspect == "auto":
+                return False
+            else:
+                return True
+        else:
+            return self._aspect
+
+    def get_position(self):
+        if self._pos is None:
+            bbox = self._axes.get_position(original=True)
+            return bbox.bounds
+        else:
+            return self._pos
+
+    def get_anchor(self):
+        if self._anchor is None:
+            return self._axes.get_anchor()
+        else:
+            return self._anchor
+
+    def get_subplotspec(self):
+        return self._axes.get_subplotspec()
+
+
+# Helper for HBoxDivider/VBoxDivider.
+# The variable names are written for a horizontal layout, but the calculations
+# work identically for vertical layouts.
+def _locate(x, y, w, h, summed_widths, equal_heights, fig_w, fig_h, anchor):
+
+    total_width = fig_w * w
+    max_height = fig_h * h
+
+    # Determine the k factors.
+    n = len(equal_heights)
+    eq_rels, eq_abss = equal_heights.T
+    sm_rels, sm_abss = summed_widths.T
+    A = np.diag([*eq_rels, 0])
+    A[:n, -1] = -1
+    A[-1, :-1] = sm_rels
+    B = [*(-eq_abss), total_width - sm_abss.sum()]
+    # A @ K = B: This finds factors {k_0, ..., k_{N-1}, H} so that
+    #   eq_rel_i * k_i + eq_abs_i = H for all i: all axes have the same height
+    #   sum(sm_rel_i * k_i + sm_abs_i) = total_width: fixed total width
+    # (foo_rel_i * k_i + foo_abs_i will end up being the size of foo.)
+    *karray, height = np.linalg.solve(A, B)
+    if height > max_height:  # Additionally, upper-bound the height.
+        karray = (max_height - eq_abss) / eq_rels
+
+    # Compute the offsets corresponding to these factors.
+    ox = np.cumsum([0, *(sm_rels * karray + sm_abss)])
+    ww = (ox[-1] - ox[0]) / fig_w
+    h0_rel, h0_abs = equal_heights[0]
+    hh = (karray[0]*h0_rel + h0_abs) / fig_h
+    pb = mtransforms.Bbox.from_bounds(x, y, w, h)
+    pb1 = mtransforms.Bbox.from_bounds(x, y, ww, hh)
+    x0, y0 = pb1.anchored(anchor, pb).p0
+
+    return x0, y0, ox, hh
+
+
+class HBoxDivider(SubplotDivider):
+    """
+    A `.SubplotDivider` for laying out axes horizontally, while ensuring that
+    they have equal heights.
+
+    Examples
+    --------
+    .. plot:: gallery/axes_grid1/demo_axes_hbox_divider.py
+    """
+
+    def new_locator(self, nx, nx1=None):
+        """
+        Create an axes locator callable for the specified cell.
+
+        Parameters
+        ----------
+        nx, nx1 : int
+            Integers specifying the column-position of the
+            cell. When *nx1* is None, a single *nx*-th column is
+            specified. Otherwise, location of columns spanning between *nx*
+            to *nx1* (but excluding *nx1*-th column) is specified.
+        """
+        return super().new_locator(nx, 0, nx1, 0)
+
+    def _locate(self, nx, ny, nx1, ny1, axes, renderer):
+        # docstring inherited
+        nx += self._xrefindex
+        nx1 += self._xrefindex
+        fig_w, fig_h = self._fig.bbox.size / self._fig.dpi
+        x, y, w, h = self.get_position_runtime(axes, renderer)
+        summed_ws = self.get_horizontal_sizes(renderer)
+        equal_hs = self.get_vertical_sizes(renderer)
+        x0, y0, ox, hh = _locate(
+            x, y, w, h, summed_ws, equal_hs, fig_w, fig_h, self.get_anchor())
+        if nx1 is None:
+            nx1 = -1
+        x1, w1 = x0 + ox[nx] / fig_w, (ox[nx1] - ox[nx]) / fig_w
+        y1, h1 = y0, hh
+        return mtransforms.Bbox.from_bounds(x1, y1, w1, h1)
+
+
+class VBoxDivider(SubplotDivider):
+    """
+    A `.SubplotDivider` for laying out axes vertically, while ensuring that
+    they have equal widths.
+    """
+
+    def new_locator(self, ny, ny1=None):
+        """
+        Create an axes locator callable for the specified cell.
+
+        Parameters
+        ----------
+        ny, ny1 : int
+            Integers specifying the row-position of the
+            cell. When *ny1* is None, a single *ny*-th row is
+            specified. Otherwise, location of rows spanning between *ny*
+            to *ny1* (but excluding *ny1*-th row) is specified.
+        """
+        return super().new_locator(0, ny, 0, ny1)
+
+    def _locate(self, nx, ny, nx1, ny1, axes, renderer):
+        # docstring inherited
+        ny += self._yrefindex
+        ny1 += self._yrefindex
+        fig_w, fig_h = self._fig.bbox.size / self._fig.dpi
+        x, y, w, h = self.get_position_runtime(axes, renderer)
+        summed_hs = self.get_vertical_sizes(renderer)
+        equal_ws = self.get_horizontal_sizes(renderer)
+        y0, x0, oy, ww = _locate(
+            y, x, h, w, summed_hs, equal_ws, fig_h, fig_w, self.get_anchor())
+        if ny1 is None:
+            ny1 = -1
+        x1, w1 = x0, ww
+        y1, h1 = y0 + oy[ny] / fig_h, (oy[ny1] - oy[ny]) / fig_h
+        return mtransforms.Bbox.from_bounds(x1, y1, w1, h1)
+
+
+def make_axes_locatable(axes):
+    divider = AxesDivider(axes)
+    locator = divider.new_locator(nx=0, ny=0)
+    axes.set_axes_locator(locator)
+
+    return divider
+
+
+def make_axes_area_auto_adjustable(
+        ax, use_axes=None, pad=0.1, adjust_dirs=None):
+    """
+    Add auto-adjustable padding around *ax* to take its decorations (title,
+    labels, ticks, ticklabels) into account during layout, using
+    `.Divider.add_auto_adjustable_area`.
+
+    By default, padding is determined from the decorations of *ax*.
+    Pass *use_axes* to consider the decorations of other Axes instead.
+    """
+    if adjust_dirs is None:
+        adjust_dirs = ["left", "right", "bottom", "top"]
+    divider = make_axes_locatable(ax)
+    if use_axes is None:
+        use_axes = ax
+    divider.add_auto_adjustable_area(use_axes=use_axes, pad=pad,
+                                     adjust_dirs=adjust_dirs)

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/axes_grid.py

@@ -0,0 +1,563 @@
+from numbers import Number
+import functools
+from types import MethodType
+
+import numpy as np
+
+from matplotlib import _api, cbook
+from matplotlib.gridspec import SubplotSpec
+
+from .axes_divider import Size, SubplotDivider, Divider
+from .mpl_axes import Axes, SimpleAxisArtist
+
+
+class CbarAxesBase:
+    def __init__(self, *args, orientation, **kwargs):
+        self.orientation = orientation
+        super().__init__(*args, **kwargs)
+
+    def colorbar(self, mappable, **kwargs):
+        return self.figure.colorbar(
+            mappable, cax=self, location=self.orientation, **kwargs)
+
+    @_api.deprecated("3.8", alternative="ax.tick_params and colorbar.set_label")
+    def toggle_label(self, b):
+        axis = self.axis[self.orientation]
+        axis.toggle(ticklabels=b, label=b)
+
+
+_cbaraxes_class_factory = cbook._make_class_factory(CbarAxesBase, "Cbar{}")
+
+
+class Grid:
+    """
+    A grid of Axes.
+
+    In Matplotlib, the Axes location (and size) is specified in normalized
+    figure coordinates. This may not be ideal for images that needs to be
+    displayed with a given aspect ratio; for example, it is difficult to
+    display multiple images of a same size with some fixed padding between
+    them.  AxesGrid can be used in such case.
+
+    Attributes
+    ----------
+    axes_all : list of Axes
+        A flat list of Axes. Note that you can also access this directly
+        from the grid. The following is equivalent ::
+
+            grid[i] == grid.axes_all[i]
+            len(grid) == len(grid.axes_all)
+
+    axes_column : list of list of Axes
+        A 2D list of Axes where the first index is the column. This results
+        in the usage pattern ``grid.axes_column[col][row]``.
+    axes_row : list of list of Axes
+        A 2D list of Axes where the first index is the row. This results
+        in the usage pattern ``grid.axes_row[row][col]``.
+    axes_llc : Axes
+        The Axes in the lower left corner.
+    ngrids : int
+        Number of Axes in the grid.
+    """
+
+    _defaultAxesClass = Axes
+
+    def __init__(self, fig,
+                 rect,
+                 nrows_ncols,
+                 ngrids=None,
+                 direction="row",
+                 axes_pad=0.02,
+                 *,
+                 share_all=False,
+                 share_x=True,
+                 share_y=True,
+                 label_mode="L",
+                 axes_class=None,
+                 aspect=False,
+                 ):
+        """
+        Parameters
+        ----------
+        fig : `.Figure`
+            The parent figure.
+        rect : (float, float, float, float), (int, int, int), int, or \
+    `~.SubplotSpec`
+            The axes position, as a ``(left, bottom, width, height)`` tuple,
+            as a three-digit subplot position code (e.g., ``(1, 2, 1)`` or
+            ``121``), or as a `~.SubplotSpec`.
+        nrows_ncols : (int, int)
+            Number of rows and columns in the grid.
+        ngrids : int or None, default: None
+            If not None, only the first *ngrids* axes in the grid are created.
+        direction : {"row", "column"}, default: "row"
+            Whether axes are created in row-major ("row by row") or
+            column-major order ("column by column").  This also affects the
+            order in which axes are accessed using indexing (``grid[index]``).
+        axes_pad : float or (float, float), default: 0.02
+            Padding or (horizontal padding, vertical padding) between axes, in
+            inches.
+        share_all : bool, default: False
+            Whether all axes share their x- and y-axis.  Overrides *share_x*
+            and *share_y*.
+        share_x : bool, default: True
+            Whether all axes of a column share their x-axis.
+        share_y : bool, default: True
+            Whether all axes of a row share their y-axis.
+        label_mode : {"L", "1", "all", "keep"}, default: "L"
+            Determines which axes will get tick labels:
+
+            - "L": All axes on the left column get vertical tick labels;
+              all axes on the bottom row get horizontal tick labels.
+            - "1": Only the bottom left axes is labelled.
+            - "all": All axes are labelled.
+            - "keep": Do not do anything.
+
+        axes_class : subclass of `matplotlib.axes.Axes`, default: `.mpl_axes.Axes`
+            The type of Axes to create.
+        aspect : bool, default: False
+            Whether the axes aspect ratio follows the aspect ratio of the data
+            limits.
+        """
+        self._nrows, self._ncols = nrows_ncols
+
+        if ngrids is None:
+            ngrids = self._nrows * self._ncols
+        else:
+            if not 0 < ngrids <= self._nrows * self._ncols:
+                raise ValueError(
+                    "ngrids must be positive and not larger than nrows*ncols")
+
+        self.ngrids = ngrids
+
+        self._horiz_pad_size, self._vert_pad_size = map(
+            Size.Fixed, np.broadcast_to(axes_pad, 2))
+
+        _api.check_in_list(["column", "row"], direction=direction)
+        self._direction = direction
+
+        if axes_class is None:
+            axes_class = self._defaultAxesClass
+        elif isinstance(axes_class, (list, tuple)):
+            cls, kwargs = axes_class
+            axes_class = functools.partial(cls, **kwargs)
+
+        kw = dict(horizontal=[], vertical=[], aspect=aspect)
+        if isinstance(rect, (Number, SubplotSpec)):
+            self._divider = SubplotDivider(fig, rect, **kw)
+        elif len(rect) == 3:
+            self._divider = SubplotDivider(fig, *rect, **kw)
+        elif len(rect) == 4:
+            self._divider = Divider(fig, rect, **kw)
+        else:
+            raise TypeError("Incorrect rect format")
+
+        rect = self._divider.get_position()
+
+        axes_array = np.full((self._nrows, self._ncols), None, dtype=object)
+        for i in range(self.ngrids):
+            col, row = self._get_col_row(i)
+            if share_all:
+                sharex = sharey = axes_array[0, 0]
+            else:
+                sharex = axes_array[0, col] if share_x else None
+                sharey = axes_array[row, 0] if share_y else None
+            axes_array[row, col] = axes_class(
+                fig, rect, sharex=sharex, sharey=sharey)
+        self.axes_all = axes_array.ravel(
+            order="C" if self._direction == "row" else "F").tolist()
+        self.axes_column = axes_array.T.tolist()
+        self.axes_row = axes_array.tolist()
+        self.axes_llc = self.axes_column[0][-1]
+
+        self._init_locators()
+
+        for ax in self.axes_all:
+            fig.add_axes(ax)
+
+        self.set_label_mode(label_mode)
+
+    def _init_locators(self):
+        self._divider.set_horizontal(
+            [Size.Scaled(1), self._horiz_pad_size] * (self._ncols-1) + [Size.Scaled(1)])
+        self._divider.set_vertical(
+            [Size.Scaled(1), self._vert_pad_size] * (self._nrows-1) + [Size.Scaled(1)])
+        for i in range(self.ngrids):
+            col, row = self._get_col_row(i)
+            self.axes_all[i].set_axes_locator(
+                self._divider.new_locator(nx=2 * col, ny=2 * (self._nrows - 1 - row)))
+
+    def _get_col_row(self, n):
+        if self._direction == "column":
+            col, row = divmod(n, self._nrows)
+        else:
+            row, col = divmod(n, self._ncols)
+
+        return col, row
+
+    # Good to propagate __len__ if we have __getitem__
+    def __len__(self):
+        return len(self.axes_all)
+
+    def __getitem__(self, i):
+        return self.axes_all[i]
+
+    def get_geometry(self):
+        """
+        Return the number of rows and columns of the grid as (nrows, ncols).
+        """
+        return self._nrows, self._ncols
+
+    def set_axes_pad(self, axes_pad):
+        """
+        Set the padding between the axes.
+
+        Parameters
+        ----------
+        axes_pad : (float, float)
+            The padding (horizontal pad, vertical pad) in inches.
+        """
+        self._horiz_pad_size.fixed_size = axes_pad[0]
+        self._vert_pad_size.fixed_size = axes_pad[1]
+
+    def get_axes_pad(self):
+        """
+        Return the axes padding.
+
+        Returns
+        -------
+        hpad, vpad
+            Padding (horizontal pad, vertical pad) in inches.
+        """
+        return (self._horiz_pad_size.fixed_size,
+                self._vert_pad_size.fixed_size)
+
+    def set_aspect(self, aspect):
+        """Set the aspect of the SubplotDivider."""
+        self._divider.set_aspect(aspect)
+
+    def get_aspect(self):
+        """Return the aspect of the SubplotDivider."""
+        return self._divider.get_aspect()
+
+    def set_label_mode(self, mode):
+        """
+        Define which axes have tick labels.
+
+        Parameters
+        ----------
+        mode : {"L", "1", "all", "keep"}
+            The label mode:
+
+            - "L": All axes on the left column get vertical tick labels;
+              all axes on the bottom row get horizontal tick labels.
+            - "1": Only the bottom left axes is labelled.
+            - "all": All axes are labelled.
+            - "keep": Do not do anything.
+        """
+        _api.check_in_list(["all", "L", "1", "keep"], mode=mode)
+        is_last_row, is_first_col = (
+            np.mgrid[:self._nrows, :self._ncols] == [[[self._nrows - 1]], [[0]]])
+        if mode == "all":
+            bottom = left = np.full((self._nrows, self._ncols), True)
+        elif mode == "L":
+            bottom = is_last_row
+            left = is_first_col
+        elif mode == "1":
+            bottom = left = is_last_row & is_first_col
+        else:
+            return
+        for i in range(self._nrows):
+            for j in range(self._ncols):
+                ax = self.axes_row[i][j]
+                if isinstance(ax.axis, MethodType):
+                    bottom_axis = SimpleAxisArtist(ax.xaxis, 1, ax.spines["bottom"])
+                    left_axis = SimpleAxisArtist(ax.yaxis, 1, ax.spines["left"])
+                else:
+                    bottom_axis = ax.axis["bottom"]
+                    left_axis = ax.axis["left"]
+                bottom_axis.toggle(ticklabels=bottom[i, j], label=bottom[i, j])
+                left_axis.toggle(ticklabels=left[i, j], label=left[i, j])
+
+    def get_divider(self):
+        return self._divider
+
+    def set_axes_locator(self, locator):
+        self._divider.set_locator(locator)
+
+    def get_axes_locator(self):
+        return self._divider.get_locator()
+
+
+class ImageGrid(Grid):
+    """
+    A grid of Axes for Image display.
+
+    This class is a specialization of `~.axes_grid1.axes_grid.Grid` for displaying a
+    grid of images.  In particular, it forces all axes in a column to share their x-axis
+    and all axes in a row to share their y-axis.  It further provides helpers to add
+    colorbars to some or all axes.
+    """
+
+    def __init__(self, fig,
+                 rect,
+                 nrows_ncols,
+                 ngrids=None,
+                 direction="row",
+                 axes_pad=0.02,
+                 *,
+                 share_all=False,
+                 aspect=True,
+                 label_mode="L",
+                 cbar_mode=None,
+                 cbar_location="right",
+                 cbar_pad=None,
+                 cbar_size="5%",
+                 cbar_set_cax=True,
+                 axes_class=None,
+                 ):
+        """
+        Parameters
+        ----------
+        fig : `.Figure`
+            The parent figure.
+        rect : (float, float, float, float) or int
+            The axes position, as a ``(left, bottom, width, height)`` tuple or
+            as a three-digit subplot position code (e.g., "121").
+        nrows_ncols : (int, int)
+            Number of rows and columns in the grid.
+        ngrids : int or None, default: None
+            If not None, only the first *ngrids* axes in the grid are created.
+        direction : {"row", "column"}, default: "row"
+            Whether axes are created in row-major ("row by row") or
+            column-major order ("column by column").  This also affects the
+            order in which axes are accessed using indexing (``grid[index]``).
+        axes_pad : float or (float, float), default: 0.02in
+            Padding or (horizontal padding, vertical padding) between axes, in
+            inches.
+        share_all : bool, default: False
+            Whether all axes share their x- and y-axis.  Note that in any case,
+            all axes in a column share their x-axis and all axes in a row share
+            their y-axis.
+        aspect : bool, default: True
+            Whether the axes aspect ratio follows the aspect ratio of the data
+            limits.
+        label_mode : {"L", "1", "all"}, default: "L"
+            Determines which axes will get tick labels:
+
+            - "L": All axes on the left column get vertical tick labels;
+              all axes on the bottom row get horizontal tick labels.
+            - "1": Only the bottom left axes is labelled.
+            - "all": all axes are labelled.
+
+        cbar_mode : {"each", "single", "edge", None}, default: None
+            Whether to create a colorbar for "each" axes, a "single" colorbar
+            for the entire grid, colorbars only for axes on the "edge"
+            determined by *cbar_location*, or no colorbars.  The colorbars are
+            stored in the :attr:`cbar_axes` attribute.
+        cbar_location : {"left", "right", "bottom", "top"}, default: "right"
+        cbar_pad : float, default: None
+            Padding between the image axes and the colorbar axes.
+        cbar_size : size specification (see `.Size.from_any`), default: "5%"
+            Colorbar size.
+        cbar_set_cax : bool, default: True
+            If True, each axes in the grid has a *cax* attribute that is bound
+            to associated *cbar_axes*.
+        axes_class : subclass of `matplotlib.axes.Axes`, default: None
+        """
+        _api.check_in_list(["each", "single", "edge", None],
+                           cbar_mode=cbar_mode)
+        _api.check_in_list(["left", "right", "bottom", "top"],
+                           cbar_location=cbar_location)
+        self._colorbar_mode = cbar_mode
+        self._colorbar_location = cbar_location
+        self._colorbar_pad = cbar_pad
+        self._colorbar_size = cbar_size
+        # The colorbar axes are created in _init_locators().
+
+        super().__init__(
+            fig, rect, nrows_ncols, ngrids,
+            direction=direction, axes_pad=axes_pad,
+            share_all=share_all, share_x=True, share_y=True, aspect=aspect,
+            label_mode=label_mode, axes_class=axes_class)
+
+        for ax in self.cbar_axes:
+            fig.add_axes(ax)
+
+        if cbar_set_cax:
+            if self._colorbar_mode == "single":
+                for ax in self.axes_all:
+                    ax.cax = self.cbar_axes[0]
+            elif self._colorbar_mode == "edge":
+                for index, ax in enumerate(self.axes_all):
+                    col, row = self._get_col_row(index)
+                    if self._colorbar_location in ("left", "right"):
+                        ax.cax = self.cbar_axes[row]
+                    else:
+                        ax.cax = self.cbar_axes[col]
+            else:
+                for ax, cax in zip(self.axes_all, self.cbar_axes):
+                    ax.cax = cax
+
+    def _init_locators(self):
+        # Slightly abusing this method to inject colorbar creation into init.
+
+        if self._colorbar_pad is None:
+            # horizontal or vertical arrangement?
+            if self._colorbar_location in ("left", "right"):
+                self._colorbar_pad = self._horiz_pad_size.fixed_size
+            else:
+                self._colorbar_pad = self._vert_pad_size.fixed_size
+        self.cbar_axes = [
+            _cbaraxes_class_factory(self._defaultAxesClass)(
+                self.axes_all[0].figure, self._divider.get_position(),
+                orientation=self._colorbar_location)
+            for _ in range(self.ngrids)]
+
+        cb_mode = self._colorbar_mode
+        cb_location = self._colorbar_location
+
+        h = []
+        v = []
+
+        h_ax_pos = []
+        h_cb_pos = []
+        if cb_mode == "single" and cb_location in ("left", "bottom"):
+            if cb_location == "left":
+                sz = self._nrows * Size.AxesX(self.axes_llc)
+                h.append(Size.from_any(self._colorbar_size, sz))
+                h.append(Size.from_any(self._colorbar_pad, sz))
+                locator = self._divider.new_locator(nx=0, ny=0, ny1=-1)
+            elif cb_location == "bottom":
+                sz = self._ncols * Size.AxesY(self.axes_llc)
+                v.append(Size.from_any(self._colorbar_size, sz))
+                v.append(Size.from_any(self._colorbar_pad, sz))
+                locator = self._divider.new_locator(nx=0, nx1=-1, ny=0)
+            for i in range(self.ngrids):
+                self.cbar_axes[i].set_visible(False)
+            self.cbar_axes[0].set_axes_locator(locator)
+            self.cbar_axes[0].set_visible(True)
+
+        for col, ax in enumerate(self.axes_row[0]):
+            if h:
+                h.append(self._horiz_pad_size)
+
+            if ax:
+                sz = Size.AxesX(ax, aspect="axes", ref_ax=self.axes_all[0])
+            else:
+                sz = Size.AxesX(self.axes_all[0],
+                                aspect="axes", ref_ax=self.axes_all[0])
+
+            if (cb_location == "left"
+                    and (cb_mode == "each"
+                         or (cb_mode == "edge" and col == 0))):
+                h_cb_pos.append(len(h))
+                h.append(Size.from_any(self._colorbar_size, sz))
+                h.append(Size.from_any(self._colorbar_pad, sz))
+
+            h_ax_pos.append(len(h))
+            h.append(sz)
+
+            if (cb_location == "right"
+                    and (cb_mode == "each"
+                         or (cb_mode == "edge" and col == self._ncols - 1))):
+                h.append(Size.from_any(self._colorbar_pad, sz))
+                h_cb_pos.append(len(h))
+                h.append(Size.from_any(self._colorbar_size, sz))
+
+        v_ax_pos = []
+        v_cb_pos = []
+        for row, ax in enumerate(self.axes_column[0][::-1]):
+            if v:
+                v.append(self._vert_pad_size)
+
+            if ax:
+                sz = Size.AxesY(ax, aspect="axes", ref_ax=self.axes_all[0])
+            else:
+                sz = Size.AxesY(self.axes_all[0],
+                                aspect="axes", ref_ax=self.axes_all[0])
+
+            if (cb_location == "bottom"
+                    and (cb_mode == "each"
+                         or (cb_mode == "edge" and row == 0))):
+                v_cb_pos.append(len(v))
+                v.append(Size.from_any(self._colorbar_size, sz))
+                v.append(Size.from_any(self._colorbar_pad, sz))
+
+            v_ax_pos.append(len(v))
+            v.append(sz)
+
+            if (cb_location == "top"
+                    and (cb_mode == "each"
+                         or (cb_mode == "edge" and row == self._nrows - 1))):
+                v.append(Size.from_any(self._colorbar_pad, sz))
+                v_cb_pos.append(len(v))
+                v.append(Size.from_any(self._colorbar_size, sz))
+
+        for i in range(self.ngrids):
+            col, row = self._get_col_row(i)
+            locator = self._divider.new_locator(nx=h_ax_pos[col],
+                                                ny=v_ax_pos[self._nrows-1-row])
+            self.axes_all[i].set_axes_locator(locator)
+
+            if cb_mode == "each":
+                if cb_location in ("right", "left"):
+                    locator = self._divider.new_locator(
+                        nx=h_cb_pos[col], ny=v_ax_pos[self._nrows - 1 - row])
+
+                elif cb_location in ("top", "bottom"):
+                    locator = self._divider.new_locator(
+                        nx=h_ax_pos[col], ny=v_cb_pos[self._nrows - 1 - row])
+
+                self.cbar_axes[i].set_axes_locator(locator)
+            elif cb_mode == "edge":
+                if (cb_location == "left" and col == 0
+                        or cb_location == "right" and col == self._ncols - 1):
+                    locator = self._divider.new_locator(
+                        nx=h_cb_pos[0], ny=v_ax_pos[self._nrows - 1 - row])
+                    self.cbar_axes[row].set_axes_locator(locator)
+                elif (cb_location == "bottom" and row == self._nrows - 1
+                      or cb_location == "top" and row == 0):
+                    locator = self._divider.new_locator(nx=h_ax_pos[col],
+                                                        ny=v_cb_pos[0])
+                    self.cbar_axes[col].set_axes_locator(locator)
+
+        if cb_mode == "single":
+            if cb_location == "right":
+                sz = self._nrows * Size.AxesX(self.axes_llc)
+                h.append(Size.from_any(self._colorbar_pad, sz))
+                h.append(Size.from_any(self._colorbar_size, sz))
+                locator = self._divider.new_locator(nx=-2, ny=0, ny1=-1)
+            elif cb_location == "top":
+                sz = self._ncols * Size.AxesY(self.axes_llc)
+                v.append(Size.from_any(self._colorbar_pad, sz))
+                v.append(Size.from_any(self._colorbar_size, sz))
+                locator = self._divider.new_locator(nx=0, nx1=-1, ny=-2)
+            if cb_location in ("right", "top"):
+                for i in range(self.ngrids):
+                    self.cbar_axes[i].set_visible(False)
+                self.cbar_axes[0].set_axes_locator(locator)
+                self.cbar_axes[0].set_visible(True)
+        elif cb_mode == "each":
+            for i in range(self.ngrids):
+                self.cbar_axes[i].set_visible(True)
+        elif cb_mode == "edge":
+            if cb_location in ("right", "left"):
+                count = self._nrows
+            else:
+                count = self._ncols
+            for i in range(count):
+                self.cbar_axes[i].set_visible(True)
+            for j in range(i + 1, self.ngrids):
+                self.cbar_axes[j].set_visible(False)
+        else:
+            for i in range(self.ngrids):
+                self.cbar_axes[i].set_visible(False)
+                self.cbar_axes[i].set_position([1., 1., 0.001, 0.001],
+                                               which="active")
+
+        self._divider.set_horizontal(h)
+        self._divider.set_vertical(v)
+
+
+AxesGrid = ImageGrid

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/axes_rgb.py

@@ -0,0 +1,157 @@
+from types import MethodType
+
+import numpy as np
+
+from .axes_divider import make_axes_locatable, Size
+from .mpl_axes import Axes, SimpleAxisArtist
+
+
+def make_rgb_axes(ax, pad=0.01, axes_class=None, **kwargs):
+    """
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        Axes instance to create the RGB Axes in.
+    pad : float, optional
+        Fraction of the Axes height to pad.
+    axes_class : `matplotlib.axes.Axes` or None, optional
+        Axes class to use for the R, G, and B Axes. If None, use
+        the same class as *ax*.
+    **kwargs
+        Forwarded to *axes_class* init for the R, G, and B Axes.
+    """
+
+    divider = make_axes_locatable(ax)
+
+    pad_size = pad * Size.AxesY(ax)
+
+    xsize = ((1-2*pad)/3) * Size.AxesX(ax)
+    ysize = ((1-2*pad)/3) * Size.AxesY(ax)
+
+    divider.set_horizontal([Size.AxesX(ax), pad_size, xsize])
+    divider.set_vertical([ysize, pad_size, ysize, pad_size, ysize])
+
+    ax.set_axes_locator(divider.new_locator(0, 0, ny1=-1))
+
+    ax_rgb = []
+    if axes_class is None:
+        axes_class = type(ax)
+
+    for ny in [4, 2, 0]:
+        ax1 = axes_class(ax.get_figure(), ax.get_position(original=True),
+                         sharex=ax, sharey=ax, **kwargs)
+        locator = divider.new_locator(nx=2, ny=ny)
+        ax1.set_axes_locator(locator)
+        for t in ax1.yaxis.get_ticklabels() + ax1.xaxis.get_ticklabels():
+            t.set_visible(False)
+        try:
+            for axis in ax1.axis.values():
+                axis.major_ticklabels.set_visible(False)
+        except AttributeError:
+            pass
+
+        ax_rgb.append(ax1)
+
+    fig = ax.get_figure()
+    for ax1 in ax_rgb:
+        fig.add_axes(ax1)
+
+    return ax_rgb
+
+
+class RGBAxes:
+    """
+    4-panel `~.Axes.imshow` (RGB, R, G, B).
+
+    Layout::
+
+        ┌───────────────┬─────┐
+        │               │  R  │
+        │               ├─────┤
+        │      RGB      │  G  │
+        │               ├─────┤
+        │               │  B  │
+        └───────────────┴─────┘
+
+    Subclasses can override the ``_defaultAxesClass`` attribute.
+    By default RGBAxes uses `.mpl_axes.Axes`.
+
+    Attributes
+    ----------
+    RGB : ``_defaultAxesClass``
+        The Axes object for the three-channel `~.Axes.imshow`.
+    R : ``_defaultAxesClass``
+        The Axes object for the red channel `~.Axes.imshow`.
+    G : ``_defaultAxesClass``
+        The Axes object for the green channel `~.Axes.imshow`.
+    B : ``_defaultAxesClass``
+        The Axes object for the blue channel `~.Axes.imshow`.
+    """
+
+    _defaultAxesClass = Axes
+
+    def __init__(self, *args, pad=0, **kwargs):
+        """
+        Parameters
+        ----------
+        pad : float, default: 0
+            Fraction of the Axes height to put as padding.
+        axes_class : `~matplotlib.axes.Axes`
+            Axes class to use. If not provided, ``_defaultAxesClass`` is used.
+        *args
+            Forwarded to *axes_class* init for the RGB Axes
+        **kwargs
+            Forwarded to *axes_class* init for the RGB, R, G, and B Axes
+        """
+        axes_class = kwargs.pop("axes_class", self._defaultAxesClass)
+        self.RGB = ax = axes_class(*args, **kwargs)
+        ax.get_figure().add_axes(ax)
+        self.R, self.G, self.B = make_rgb_axes(
+            ax, pad=pad, axes_class=axes_class, **kwargs)
+        # Set the line color and ticks for the axes.
+        for ax1 in [self.RGB, self.R, self.G, self.B]:
+            if isinstance(ax1.axis, MethodType):
+                ad = Axes.AxisDict(self)
+                ad.update(
+                    bottom=SimpleAxisArtist(ax1.xaxis, 1, ax1.spines["bottom"]),
+                    top=SimpleAxisArtist(ax1.xaxis, 2, ax1.spines["top"]),
+                    left=SimpleAxisArtist(ax1.yaxis, 1, ax1.spines["left"]),
+                    right=SimpleAxisArtist(ax1.yaxis, 2, ax1.spines["right"]))
+            else:
+                ad = ax1.axis
+            ad[:].line.set_color("w")
+            ad[:].major_ticks.set_markeredgecolor("w")
+
+    def imshow_rgb(self, r, g, b, **kwargs):
+        """
+        Create the four images {rgb, r, g, b}.
+
+        Parameters
+        ----------
+        r, g, b : array-like
+            The red, green, and blue arrays.
+        **kwargs
+            Forwarded to `~.Axes.imshow` calls for the four images.
+
+        Returns
+        -------
+        rgb : `~matplotlib.image.AxesImage`
+        r : `~matplotlib.image.AxesImage`
+        g : `~matplotlib.image.AxesImage`
+        b : `~matplotlib.image.AxesImage`
+        """
+        if not (r.shape == g.shape == b.shape):
+            raise ValueError(
+                f'Input shapes ({r.shape}, {g.shape}, {b.shape}) do not match')
+        RGB = np.dstack([r, g, b])
+        R = np.zeros_like(RGB)
+        R[:, :, 0] = r
+        G = np.zeros_like(RGB)
+        G[:, :, 1] = g
+        B = np.zeros_like(RGB)
+        B[:, :, 2] = b
+        im_rgb = self.RGB.imshow(RGB, **kwargs)
+        im_r = self.R.imshow(R, **kwargs)
+        im_g = self.G.imshow(G, **kwargs)
+        im_b = self.B.imshow(B, **kwargs)
+        return im_rgb, im_r, im_g, im_b

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/axes_size.py

@@ -0,0 +1,248 @@
+"""
+Provides classes of simple units that will be used with `.AxesDivider`
+class (or others) to determine the size of each Axes. The unit
+classes define `get_size` method that returns a tuple of two floats,
+meaning relative and absolute sizes, respectively.
+
+Note that this class is nothing more than a simple tuple of two
+floats. Take a look at the Divider class to see how these two
+values are used.
+"""
+
+from numbers import Real
+
+from matplotlib import _api
+from matplotlib.axes import Axes
+
+
+class _Base:
+    def __rmul__(self, other):
+        return Fraction(other, self)
+
+    def __add__(self, other):
+        if isinstance(other, _Base):
+            return Add(self, other)
+        else:
+            return Add(self, Fixed(other))
+
+    def get_size(self, renderer):
+        """
+        Return two-float tuple with relative and absolute sizes.
+        """
+        raise NotImplementedError("Subclasses must implement")
+
+
+class Add(_Base):
+    """
+    Sum of two sizes.
+    """
+
+    def __init__(self, a, b):
+        self._a = a
+        self._b = b
+
+    def get_size(self, renderer):
+        a_rel_size, a_abs_size = self._a.get_size(renderer)
+        b_rel_size, b_abs_size = self._b.get_size(renderer)
+        return a_rel_size + b_rel_size, a_abs_size + b_abs_size
+
+
+class Fixed(_Base):
+    """
+    Simple fixed size with absolute part = *fixed_size* and relative part = 0.
+    """
+
+    def __init__(self, fixed_size):
+        _api.check_isinstance(Real, fixed_size=fixed_size)
+        self.fixed_size = fixed_size
+
+    def get_size(self, renderer):
+        rel_size = 0.
+        abs_size = self.fixed_size
+        return rel_size, abs_size
+
+
+class Scaled(_Base):
+    """
+    Simple scaled(?) size with absolute part = 0 and
+    relative part = *scalable_size*.
+    """
+
+    def __init__(self, scalable_size):
+        self._scalable_size = scalable_size
+
+    def get_size(self, renderer):
+        rel_size = self._scalable_size
+        abs_size = 0.
+        return rel_size, abs_size
+
+Scalable = Scaled
+
+
+def _get_axes_aspect(ax):
+    aspect = ax.get_aspect()
+    if aspect == "auto":
+        aspect = 1.
+    return aspect
+
+
+class AxesX(_Base):
+    """
+    Scaled size whose relative part corresponds to the data width
+    of the *axes* multiplied by the *aspect*.
+    """
+
+    def __init__(self, axes, aspect=1., ref_ax=None):
+        self._axes = axes
+        self._aspect = aspect
+        if aspect == "axes" and ref_ax is None:
+            raise ValueError("ref_ax must be set when aspect='axes'")
+        self._ref_ax = ref_ax
+
+    def get_size(self, renderer):
+        l1, l2 = self._axes.get_xlim()
+        if self._aspect == "axes":
+            ref_aspect = _get_axes_aspect(self._ref_ax)
+            aspect = ref_aspect / _get_axes_aspect(self._axes)
+        else:
+            aspect = self._aspect
+
+        rel_size = abs(l2-l1)*aspect
+        abs_size = 0.
+        return rel_size, abs_size
+
+
+class AxesY(_Base):
+    """
+    Scaled size whose relative part corresponds to the data height
+    of the *axes* multiplied by the *aspect*.
+    """
+
+    def __init__(self, axes, aspect=1., ref_ax=None):
+        self._axes = axes
+        self._aspect = aspect
+        if aspect == "axes" and ref_ax is None:
+            raise ValueError("ref_ax must be set when aspect='axes'")
+        self._ref_ax = ref_ax
+
+    def get_size(self, renderer):
+        l1, l2 = self._axes.get_ylim()
+
+        if self._aspect == "axes":
+            ref_aspect = _get_axes_aspect(self._ref_ax)
+            aspect = _get_axes_aspect(self._axes)
+        else:
+            aspect = self._aspect
+
+        rel_size = abs(l2-l1)*aspect
+        abs_size = 0.
+        return rel_size, abs_size
+
+
+class MaxExtent(_Base):
+    """
+    Size whose absolute part is either the largest width or the largest height
+    of the given *artist_list*.
+    """
+
+    def __init__(self, artist_list, w_or_h):
+        self._artist_list = artist_list
+        _api.check_in_list(["width", "height"], w_or_h=w_or_h)
+        self._w_or_h = w_or_h
+
+    def add_artist(self, a):
+        self._artist_list.append(a)
+
+    def get_size(self, renderer):
+        rel_size = 0.
+        extent_list = [
+            getattr(a.get_window_extent(renderer), self._w_or_h) / a.figure.dpi
+            for a in self._artist_list]
+        abs_size = max(extent_list, default=0)
+        return rel_size, abs_size
+
+
+class MaxWidth(MaxExtent):
+    """
+    Size whose absolute part is the largest width of the given *artist_list*.
+    """
+
+    def __init__(self, artist_list):
+        super().__init__(artist_list, "width")
+
+
+class MaxHeight(MaxExtent):
+    """
+    Size whose absolute part is the largest height of the given *artist_list*.
+    """
+
+    def __init__(self, artist_list):
+        super().__init__(artist_list, "height")
+
+
+class Fraction(_Base):
+    """
+    An instance whose size is a *fraction* of the *ref_size*.
+
+    >>> s = Fraction(0.3, AxesX(ax))
+    """
+
+    def __init__(self, fraction, ref_size):
+        _api.check_isinstance(Real, fraction=fraction)
+        self._fraction_ref = ref_size
+        self._fraction = fraction
+
+    def get_size(self, renderer):
+        if self._fraction_ref is None:
+            return self._fraction, 0.
+        else:
+            r, a = self._fraction_ref.get_size(renderer)
+            rel_size = r*self._fraction
+            abs_size = a*self._fraction
+            return rel_size, abs_size
+
+
+def from_any(size, fraction_ref=None):
+    """
+    Create a Fixed unit when the first argument is a float, or a
+    Fraction unit if that is a string that ends with %. The second
+    argument is only meaningful when Fraction unit is created.
+
+    >>> from mpl_toolkits.axes_grid1.axes_size import from_any
+    >>> a = from_any(1.2) # => Fixed(1.2)
+    >>> from_any("50%", a) # => Fraction(0.5, a)
+    """
+    if isinstance(size, Real):
+        return Fixed(size)
+    elif isinstance(size, str):
+        if size[-1] == "%":
+            return Fraction(float(size[:-1]) / 100, fraction_ref)
+    raise ValueError("Unknown format")
+
+
+class _AxesDecorationsSize(_Base):
+    """
+    Fixed size, corresponding to the size of decorations on a given Axes side.
+    """
+
+    _get_size_map = {
+        "left":   lambda tight_bb, axes_bb: axes_bb.xmin - tight_bb.xmin,
+        "right":  lambda tight_bb, axes_bb: tight_bb.xmax - axes_bb.xmax,
+        "bottom": lambda tight_bb, axes_bb: axes_bb.ymin - tight_bb.ymin,
+        "top":    lambda tight_bb, axes_bb: tight_bb.ymax - axes_bb.ymax,
+    }
+
+    def __init__(self, ax, direction):
+        _api.check_in_list(self._get_size_map, direction=direction)
+        self._direction = direction
+        self._ax_list = [ax] if isinstance(ax, Axes) else ax
+
+    def get_size(self, renderer):
+        sz = max([
+            self._get_size_map[self._direction](
+                ax.get_tightbbox(renderer, call_axes_locator=False), ax.bbox)
+            for ax in self._ax_list])
+        dpi = renderer.points_to_pixels(72)
+        abs_size = sz / dpi
+        rel_size = 0
+        return rel_size, abs_size

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/inset_locator.py

@@ -0,0 +1,561 @@
+"""
+A collection of functions and objects for creating or placing inset axes.
+"""
+
+from matplotlib import _api, _docstring
+from matplotlib.offsetbox import AnchoredOffsetbox
+from matplotlib.patches import Patch, Rectangle
+from matplotlib.path import Path
+from matplotlib.transforms import Bbox, BboxTransformTo
+from matplotlib.transforms import IdentityTransform, TransformedBbox
+
+from . import axes_size as Size
+from .parasite_axes import HostAxes
+
+
+@_api.deprecated("3.8", alternative="Axes.inset_axes")
+class InsetPosition:
+    @_docstring.dedent_interpd
+    def __init__(self, parent, lbwh):
+        """
+        An object for positioning an inset axes.
+
+        This is created by specifying the normalized coordinates in the axes,
+        instead of the figure.
+
+        Parameters
+        ----------
+        parent : `~matplotlib.axes.Axes`
+            Axes to use for normalizing coordinates.
+
+        lbwh : iterable of four floats
+            The left edge, bottom edge, width, and height of the inset axes, in
+            units of the normalized coordinate of the *parent* axes.
+
+        See Also
+        --------
+        :meth:`matplotlib.axes.Axes.set_axes_locator`
+
+        Examples
+        --------
+        The following bounds the inset axes to a box with 20%% of the parent
+        axes height and 40%% of the width. The size of the axes specified
+        ([0, 0, 1, 1]) ensures that the axes completely fills the bounding box:
+
+        >>> parent_axes = plt.gca()
+        >>> ax_ins = plt.axes([0, 0, 1, 1])
+        >>> ip = InsetPosition(parent_axes, [0.5, 0.1, 0.4, 0.2])
+        >>> ax_ins.set_axes_locator(ip)
+        """
+        self.parent = parent
+        self.lbwh = lbwh
+
+    def __call__(self, ax, renderer):
+        bbox_parent = self.parent.get_position(original=False)
+        trans = BboxTransformTo(bbox_parent)
+        bbox_inset = Bbox.from_bounds(*self.lbwh)
+        bb = TransformedBbox(bbox_inset, trans)
+        return bb
+
+
+class AnchoredLocatorBase(AnchoredOffsetbox):
+    def __init__(self, bbox_to_anchor, offsetbox, loc,
+                 borderpad=0.5, bbox_transform=None):
+        super().__init__(
+            loc, pad=0., child=None, borderpad=borderpad,
+            bbox_to_anchor=bbox_to_anchor, bbox_transform=bbox_transform
+        )
+
+    def draw(self, renderer):
+        raise RuntimeError("No draw method should be called")
+
+    def __call__(self, ax, renderer):
+        if renderer is None:
+            renderer = ax.figure._get_renderer()
+        self.axes = ax
+        bbox = self.get_window_extent(renderer)
+        px, py = self.get_offset(bbox.width, bbox.height, 0, 0, renderer)
+        bbox_canvas = Bbox.from_bounds(px, py, bbox.width, bbox.height)
+        tr = ax.figure.transSubfigure.inverted()
+        return TransformedBbox(bbox_canvas, tr)
+
+
+class AnchoredSizeLocator(AnchoredLocatorBase):
+    def __init__(self, bbox_to_anchor, x_size, y_size, loc,
+                 borderpad=0.5, bbox_transform=None):
+        super().__init__(
+            bbox_to_anchor, None, loc,
+            borderpad=borderpad, bbox_transform=bbox_transform
+        )
+
+        self.x_size = Size.from_any(x_size)
+        self.y_size = Size.from_any(y_size)
+
+    def get_bbox(self, renderer):
+        bbox = self.get_bbox_to_anchor()
+        dpi = renderer.points_to_pixels(72.)
+
+        r, a = self.x_size.get_size(renderer)
+        width = bbox.width * r + a * dpi
+        r, a = self.y_size.get_size(renderer)
+        height = bbox.height * r + a * dpi
+
+        fontsize = renderer.points_to_pixels(self.prop.get_size_in_points())
+        pad = self.pad * fontsize
+
+        return Bbox.from_bounds(0, 0, width, height).padded(pad)
+
+
+class AnchoredZoomLocator(AnchoredLocatorBase):
+    def __init__(self, parent_axes, zoom, loc,
+                 borderpad=0.5,
+                 bbox_to_anchor=None,
+                 bbox_transform=None):
+        self.parent_axes = parent_axes
+        self.zoom = zoom
+        if bbox_to_anchor is None:
+            bbox_to_anchor = parent_axes.bbox
+        super().__init__(
+            bbox_to_anchor, None, loc, borderpad=borderpad,
+            bbox_transform=bbox_transform)
+
+    def get_bbox(self, renderer):
+        bb = self.parent_axes.transData.transform_bbox(self.axes.viewLim)
+        fontsize = renderer.points_to_pixels(self.prop.get_size_in_points())
+        pad = self.pad * fontsize
+        return (
+            Bbox.from_bounds(
+                0, 0, abs(bb.width * self.zoom), abs(bb.height * self.zoom))
+            .padded(pad))
+
+
+class BboxPatch(Patch):
+    @_docstring.dedent_interpd
+    def __init__(self, bbox, **kwargs):
+        """
+        Patch showing the shape bounded by a Bbox.
+
+        Parameters
+        ----------
+        bbox : `~matplotlib.transforms.Bbox`
+            Bbox to use for the extents of this patch.
+
+        **kwargs
+            Patch properties. Valid arguments include:
+
+            %(Patch:kwdoc)s
+        """
+        if "transform" in kwargs:
+            raise ValueError("transform should not be set")
+
+        kwargs["transform"] = IdentityTransform()
+        super().__init__(**kwargs)
+        self.bbox = bbox
+
+    def get_path(self):
+        # docstring inherited
+        x0, y0, x1, y1 = self.bbox.extents
+        return Path._create_closed([(x0, y0), (x1, y0), (x1, y1), (x0, y1)])
+
+
+class BboxConnector(Patch):
+    @staticmethod
+    def get_bbox_edge_pos(bbox, loc):
+        """
+        Return the ``(x, y)`` coordinates of corner *loc* of *bbox*; parameters
+        behave as documented for the `.BboxConnector` constructor.
+        """
+        x0, y0, x1, y1 = bbox.extents
+        if loc == 1:
+            return x1, y1
+        elif loc == 2:
+            return x0, y1
+        elif loc == 3:
+            return x0, y0
+        elif loc == 4:
+            return x1, y0
+
+    @staticmethod
+    def connect_bbox(bbox1, bbox2, loc1, loc2=None):
+        """
+        Construct a `.Path` connecting corner *loc1* of *bbox1* to corner
+        *loc2* of *bbox2*, where parameters behave as documented as for the
+        `.BboxConnector` constructor.
+        """
+        if isinstance(bbox1, Rectangle):
+            bbox1 = TransformedBbox(Bbox.unit(), bbox1.get_transform())
+        if isinstance(bbox2, Rectangle):
+            bbox2 = TransformedBbox(Bbox.unit(), bbox2.get_transform())
+        if loc2 is None:
+            loc2 = loc1
+        x1, y1 = BboxConnector.get_bbox_edge_pos(bbox1, loc1)
+        x2, y2 = BboxConnector.get_bbox_edge_pos(bbox2, loc2)
+        return Path([[x1, y1], [x2, y2]])
+
+    @_docstring.dedent_interpd
+    def __init__(self, bbox1, bbox2, loc1, loc2=None, **kwargs):
+        """
+        Connect two bboxes with a straight line.
+
+        Parameters
+        ----------
+        bbox1, bbox2 : `~matplotlib.transforms.Bbox`
+            Bounding boxes to connect.
+
+        loc1, loc2 : {1, 2, 3, 4}
+            Corner of *bbox1* and *bbox2* to draw the line. Valid values are::
+
+                'upper right'  : 1,
+                'upper left'   : 2,
+                'lower left'   : 3,
+                'lower right'  : 4
+
+            *loc2* is optional and defaults to *loc1*.
+
+        **kwargs
+            Patch properties for the line drawn. Valid arguments include:
+
+            %(Patch:kwdoc)s
+        """
+        if "transform" in kwargs:
+            raise ValueError("transform should not be set")
+
+        kwargs["transform"] = IdentityTransform()
+        kwargs.setdefault(
+            "fill", bool({'fc', 'facecolor', 'color'}.intersection(kwargs)))
+        super().__init__(**kwargs)
+        self.bbox1 = bbox1
+        self.bbox2 = bbox2
+        self.loc1 = loc1
+        self.loc2 = loc2
+
+    def get_path(self):
+        # docstring inherited
+        return self.connect_bbox(self.bbox1, self.bbox2,
+                                 self.loc1, self.loc2)
+
+
+class BboxConnectorPatch(BboxConnector):
+    @_docstring.dedent_interpd
+    def __init__(self, bbox1, bbox2, loc1a, loc2a, loc1b, loc2b, **kwargs):
+        """
+        Connect two bboxes with a quadrilateral.
+
+        The quadrilateral is specified by two lines that start and end at
+        corners of the bboxes. The four sides of the quadrilateral are defined
+        by the two lines given, the line between the two corners specified in
+        *bbox1* and the line between the two corners specified in *bbox2*.
+
+        Parameters
+        ----------
+        bbox1, bbox2 : `~matplotlib.transforms.Bbox`
+            Bounding boxes to connect.
+
+        loc1a, loc2a, loc1b, loc2b : {1, 2, 3, 4}
+            The first line connects corners *loc1a* of *bbox1* and *loc2a* of
+            *bbox2*; the second line connects corners *loc1b* of *bbox1* and
+            *loc2b* of *bbox2*.  Valid values are::
+
+                'upper right'  : 1,
+                'upper left'   : 2,
+                'lower left'   : 3,
+                'lower right'  : 4
+
+        **kwargs
+            Patch properties for the line drawn:
+
+            %(Patch:kwdoc)s
+        """
+        if "transform" in kwargs:
+            raise ValueError("transform should not be set")
+        super().__init__(bbox1, bbox2, loc1a, loc2a, **kwargs)
+        self.loc1b = loc1b
+        self.loc2b = loc2b
+
+    def get_path(self):
+        # docstring inherited
+        path1 = self.connect_bbox(self.bbox1, self.bbox2, self.loc1, self.loc2)
+        path2 = self.connect_bbox(self.bbox2, self.bbox1,
+                                  self.loc2b, self.loc1b)
+        path_merged = [*path1.vertices, *path2.vertices, path1.vertices[0]]
+        return Path(path_merged)
+
+
+def _add_inset_axes(parent_axes, axes_class, axes_kwargs, axes_locator):
+    """Helper function to add an inset axes and disable navigation in it."""
+    if axes_class is None:
+        axes_class = HostAxes
+    if axes_kwargs is None:
+        axes_kwargs = {}
+    inset_axes = axes_class(
+        parent_axes.figure, parent_axes.get_position(),
+        **{"navigate": False, **axes_kwargs, "axes_locator": axes_locator})
+    return parent_axes.figure.add_axes(inset_axes)
+
+
+@_docstring.dedent_interpd
+def inset_axes(parent_axes, width, height, loc='upper right',
+               bbox_to_anchor=None, bbox_transform=None,
+               axes_class=None, axes_kwargs=None,
+               borderpad=0.5):
+    """
+    Create an inset axes with a given width and height.
+
+    Both sizes used can be specified either in inches or percentage.
+    For example,::
+
+        inset_axes(parent_axes, width='40%%', height='30%%', loc='lower left')
+
+    creates in inset axes in the lower left corner of *parent_axes* which spans
+    over 30%% in height and 40%% in width of the *parent_axes*. Since the usage
+    of `.inset_axes` may become slightly tricky when exceeding such standard
+    cases, it is recommended to read :doc:`the examples
+    </gallery/axes_grid1/inset_locator_demo>`.
+
+    Notes
+    -----
+    The meaning of *bbox_to_anchor* and *bbox_to_transform* is interpreted
+    differently from that of legend. The value of bbox_to_anchor
+    (or the return value of its get_points method; the default is
+    *parent_axes.bbox*) is transformed by the bbox_transform (the default
+    is Identity transform) and then interpreted as points in the pixel
+    coordinate (which is dpi dependent).
+
+    Thus, following three calls are identical and creates an inset axes
+    with respect to the *parent_axes*::
+
+       axins = inset_axes(parent_axes, "30%%", "40%%")
+       axins = inset_axes(parent_axes, "30%%", "40%%",
+                          bbox_to_anchor=parent_axes.bbox)
+       axins = inset_axes(parent_axes, "30%%", "40%%",
+                          bbox_to_anchor=(0, 0, 1, 1),
+                          bbox_transform=parent_axes.transAxes)
+
+    Parameters
+    ----------
+    parent_axes : `matplotlib.axes.Axes`
+        Axes to place the inset axes.
+
+    width, height : float or str
+        Size of the inset axes to create. If a float is provided, it is
+        the size in inches, e.g. *width=1.3*. If a string is provided, it is
+        the size in relative units, e.g. *width='40%%'*. By default, i.e. if
+        neither *bbox_to_anchor* nor *bbox_transform* are specified, those
+        are relative to the parent_axes. Otherwise, they are to be understood
+        relative to the bounding box provided via *bbox_to_anchor*.
+
+    loc : str, default: 'upper right'
+        Location to place the inset axes.  Valid locations are
+        'upper left', 'upper center', 'upper right',
+        'center left', 'center', 'center right',
+        'lower left', 'lower center', 'lower right'.
+        For backward compatibility, numeric values are accepted as well.
+        See the parameter *loc* of `.Legend` for details.
+
+    bbox_to_anchor : tuple or `~matplotlib.transforms.BboxBase`, optional
+        Bbox that the inset axes will be anchored to. If None,
+        a tuple of (0, 0, 1, 1) is used if *bbox_transform* is set
+        to *parent_axes.transAxes* or *parent_axes.figure.transFigure*.
+        Otherwise, *parent_axes.bbox* is used. If a tuple, can be either
+        [left, bottom, width, height], or [left, bottom].
+        If the kwargs *width* and/or *height* are specified in relative units,
+        the 2-tuple [left, bottom] cannot be used. Note that,
+        unless *bbox_transform* is set, the units of the bounding box
+        are interpreted in the pixel coordinate. When using *bbox_to_anchor*
+        with tuple, it almost always makes sense to also specify
+        a *bbox_transform*. This might often be the axes transform
+        *parent_axes.transAxes*.
+
+    bbox_transform : `~matplotlib.transforms.Transform`, optional
+        Transformation for the bbox that contains the inset axes.
+        If None, a `.transforms.IdentityTransform` is used. The value
+        of *bbox_to_anchor* (or the return value of its get_points method)
+        is transformed by the *bbox_transform* and then interpreted
+        as points in the pixel coordinate (which is dpi dependent).
+        You may provide *bbox_to_anchor* in some normalized coordinate,
+        and give an appropriate transform (e.g., *parent_axes.transAxes*).
+
+    axes_class : `~matplotlib.axes.Axes` type, default: `.HostAxes`
+        The type of the newly created inset axes.
+
+    axes_kwargs : dict, optional
+        Keyword arguments to pass to the constructor of the inset axes.
+        Valid arguments include:
+
+        %(Axes:kwdoc)s
+
+    borderpad : float, default: 0.5
+        Padding between inset axes and the bbox_to_anchor.
+        The units are axes font size, i.e. for a default font size of 10 points
+        *borderpad = 0.5* is equivalent to a padding of 5 points.
+
+    Returns
+    -------
+    inset_axes : *axes_class*
+        Inset axes object created.
+    """
+
+    if (bbox_transform in [parent_axes.transAxes, parent_axes.figure.transFigure]
+            and bbox_to_anchor is None):
+        _api.warn_external("Using the axes or figure transform requires a "
+                           "bounding box in the respective coordinates. "
+                           "Using bbox_to_anchor=(0, 0, 1, 1) now.")
+        bbox_to_anchor = (0, 0, 1, 1)
+    if bbox_to_anchor is None:
+        bbox_to_anchor = parent_axes.bbox
+    if (isinstance(bbox_to_anchor, tuple) and
+            (isinstance(width, str) or isinstance(height, str))):
+        if len(bbox_to_anchor) != 4:
+            raise ValueError("Using relative units for width or height "
+                             "requires to provide a 4-tuple or a "
+                             "`Bbox` instance to `bbox_to_anchor.")
+    return _add_inset_axes(
+        parent_axes, axes_class, axes_kwargs,
+        AnchoredSizeLocator(
+            bbox_to_anchor, width, height, loc=loc,
+            bbox_transform=bbox_transform, borderpad=borderpad))
+
+
+@_docstring.dedent_interpd
+def zoomed_inset_axes(parent_axes, zoom, loc='upper right',
+                      bbox_to_anchor=None, bbox_transform=None,
+                      axes_class=None, axes_kwargs=None,
+                      borderpad=0.5):
+    """
+    Create an anchored inset axes by scaling a parent axes. For usage, also see
+    :doc:`the examples </gallery/axes_grid1/inset_locator_demo2>`.
+
+    Parameters
+    ----------
+    parent_axes : `~matplotlib.axes.Axes`
+        Axes to place the inset axes.
+
+    zoom : float
+        Scaling factor of the data axes. *zoom* > 1 will enlarge the
+        coordinates (i.e., "zoomed in"), while *zoom* < 1 will shrink the
+        coordinates (i.e., "zoomed out").
+
+    loc : str, default: 'upper right'
+        Location to place the inset axes.  Valid locations are
+        'upper left', 'upper center', 'upper right',
+        'center left', 'center', 'center right',
+        'lower left', 'lower center', 'lower right'.
+        For backward compatibility, numeric values are accepted as well.
+        See the parameter *loc* of `.Legend` for details.
+
+    bbox_to_anchor : tuple or `~matplotlib.transforms.BboxBase`, optional
+        Bbox that the inset axes will be anchored to. If None,
+        *parent_axes.bbox* is used. If a tuple, can be either
+        [left, bottom, width, height], or [left, bottom].
+        If the kwargs *width* and/or *height* are specified in relative units,
+        the 2-tuple [left, bottom] cannot be used. Note that
+        the units of the bounding box are determined through the transform
+        in use. When using *bbox_to_anchor* it almost always makes sense to
+        also specify a *bbox_transform*. This might often be the axes transform
+        *parent_axes.transAxes*.
+
+    bbox_transform : `~matplotlib.transforms.Transform`, optional
+        Transformation for the bbox that contains the inset axes.
+        If None, a `.transforms.IdentityTransform` is used (i.e. pixel
+        coordinates). This is useful when not providing any argument to
+        *bbox_to_anchor*. When using *bbox_to_anchor* it almost always makes
+        sense to also specify a *bbox_transform*. This might often be the
+        axes transform *parent_axes.transAxes*. Inversely, when specifying
+        the axes- or figure-transform here, be aware that not specifying
+        *bbox_to_anchor* will use *parent_axes.bbox*, the units of which are
+        in display (pixel) coordinates.
+
+    axes_class : `~matplotlib.axes.Axes` type, default: `.HostAxes`
+        The type of the newly created inset axes.
+
+    axes_kwargs : dict, optional
+        Keyword arguments to pass to the constructor of the inset axes.
+        Valid arguments include:
+
+        %(Axes:kwdoc)s
+
+    borderpad : float, default: 0.5
+        Padding between inset axes and the bbox_to_anchor.
+        The units are axes font size, i.e. for a default font size of 10 points
+        *borderpad = 0.5* is equivalent to a padding of 5 points.
+
+    Returns
+    -------
+    inset_axes : *axes_class*
+        Inset axes object created.
+    """
+
+    return _add_inset_axes(
+        parent_axes, axes_class, axes_kwargs,
+        AnchoredZoomLocator(
+            parent_axes, zoom=zoom, loc=loc,
+            bbox_to_anchor=bbox_to_anchor, bbox_transform=bbox_transform,
+            borderpad=borderpad))
+
+
+class _TransformedBboxWithCallback(TransformedBbox):
+    """
+    Variant of `.TransformBbox` which calls *callback* before returning points.
+
+    Used by `.mark_inset` to unstale the parent axes' viewlim as needed.
+    """
+
+    def __init__(self, *args, callback, **kwargs):
+        super().__init__(*args, **kwargs)
+        self._callback = callback
+
+    def get_points(self):
+        self._callback()
+        return super().get_points()
+
+
+@_docstring.dedent_interpd
+def mark_inset(parent_axes, inset_axes, loc1, loc2, **kwargs):
+    """
+    Draw a box to mark the location of an area represented by an inset axes.
+
+    This function draws a box in *parent_axes* at the bounding box of
+    *inset_axes*, and shows a connection with the inset axes by drawing lines
+    at the corners, giving a "zoomed in" effect.
+
+    Parameters
+    ----------
+    parent_axes : `~matplotlib.axes.Axes`
+        Axes which contains the area of the inset axes.
+
+    inset_axes : `~matplotlib.axes.Axes`
+        The inset axes.
+
+    loc1, loc2 : {1, 2, 3, 4}
+        Corners to use for connecting the inset axes and the area in the
+        parent axes.
+
+    **kwargs
+        Patch properties for the lines and box drawn:
+
+        %(Patch:kwdoc)s
+
+    Returns
+    -------
+    pp : `~matplotlib.patches.Patch`
+        The patch drawn to represent the area of the inset axes.
+
+    p1, p2 : `~matplotlib.patches.Patch`
+        The patches connecting two corners of the inset axes and its area.
+    """
+    rect = _TransformedBboxWithCallback(
+        inset_axes.viewLim, parent_axes.transData,
+        callback=parent_axes._unstale_viewLim)
+
+    kwargs.setdefault("fill", bool({'fc', 'facecolor', 'color'}.intersection(kwargs)))
+    pp = BboxPatch(rect, **kwargs)
+    parent_axes.add_patch(pp)
+
+    p1 = BboxConnector(inset_axes.bbox, rect, loc1=loc1, **kwargs)
+    inset_axes.add_patch(p1)
+    p1.set_clip_on(False)
+    p2 = BboxConnector(inset_axes.bbox, rect, loc1=loc2, **kwargs)
+    inset_axes.add_patch(p2)
+    p2.set_clip_on(False)
+
+    return pp, p1, p2

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/mpl_axes.py

@@ -0,0 +1,128 @@
+import matplotlib.axes as maxes
+from matplotlib.artist import Artist
+from matplotlib.axis import XAxis, YAxis
+
+
+class SimpleChainedObjects:
+    def __init__(self, objects):
+        self._objects = objects
+
+    def __getattr__(self, k):
+        _a = SimpleChainedObjects([getattr(a, k) for a in self._objects])
+        return _a
+
+    def __call__(self, *args, **kwargs):
+        for m in self._objects:
+            m(*args, **kwargs)
+
+
+class Axes(maxes.Axes):
+
+    class AxisDict(dict):
+        def __init__(self, axes):
+            self.axes = axes
+            super().__init__()
+
+        def __getitem__(self, k):
+            if isinstance(k, tuple):
+                r = SimpleChainedObjects(
+                    # super() within a list comprehension needs explicit args.
+                    [super(Axes.AxisDict, self).__getitem__(k1) for k1 in k])
+                return r
+            elif isinstance(k, slice):
+                if k.start is None and k.stop is None and k.step is None:
+                    return SimpleChainedObjects(list(self.values()))
+                else:
+                    raise ValueError("Unsupported slice")
+            else:
+                return dict.__getitem__(self, k)
+
+        def __call__(self, *v, **kwargs):
+            return maxes.Axes.axis(self.axes, *v, **kwargs)
+
+    @property
+    def axis(self):
+        return self._axislines
+
+    def clear(self):
+        # docstring inherited
+        super().clear()
+        # Init axis artists.
+        self._axislines = self.AxisDict(self)
+        self._axislines.update(
+            bottom=SimpleAxisArtist(self.xaxis, 1, self.spines["bottom"]),
+            top=SimpleAxisArtist(self.xaxis, 2, self.spines["top"]),
+            left=SimpleAxisArtist(self.yaxis, 1, self.spines["left"]),
+            right=SimpleAxisArtist(self.yaxis, 2, self.spines["right"]))
+
+
+class SimpleAxisArtist(Artist):
+    def __init__(self, axis, axisnum, spine):
+        self._axis = axis
+        self._axisnum = axisnum
+        self.line = spine
+
+        if isinstance(axis, XAxis):
+            self._axis_direction = ["bottom", "top"][axisnum-1]
+        elif isinstance(axis, YAxis):
+            self._axis_direction = ["left", "right"][axisnum-1]
+        else:
+            raise ValueError(
+                f"axis must be instance of XAxis or YAxis, but got {axis}")
+        super().__init__()
+
+    @property
+    def major_ticks(self):
+        tickline = "tick%dline" % self._axisnum
+        return SimpleChainedObjects([getattr(tick, tickline)
+                                     for tick in self._axis.get_major_ticks()])
+
+    @property
+    def major_ticklabels(self):
+        label = "label%d" % self._axisnum
+        return SimpleChainedObjects([getattr(tick, label)
+                                     for tick in self._axis.get_major_ticks()])
+
+    @property
+    def label(self):
+        return self._axis.label
+
+    def set_visible(self, b):
+        self.toggle(all=b)
+        self.line.set_visible(b)
+        self._axis.set_visible(True)
+        super().set_visible(b)
+
+    def set_label(self, txt):
+        self._axis.set_label_text(txt)
+
+    def toggle(self, all=None, ticks=None, ticklabels=None, label=None):
+
+        if all:
+            _ticks, _ticklabels, _label = True, True, True
+        elif all is not None:
+            _ticks, _ticklabels, _label = False, False, False
+        else:
+            _ticks, _ticklabels, _label = None, None, None
+
+        if ticks is not None:
+            _ticks = ticks
+        if ticklabels is not None:
+            _ticklabels = ticklabels
+        if label is not None:
+            _label = label
+
+        if _ticks is not None:
+            tickparam = {f"tick{self._axisnum}On": _ticks}
+            self._axis.set_tick_params(**tickparam)
+        if _ticklabels is not None:
+            tickparam = {f"label{self._axisnum}On": _ticklabels}
+            self._axis.set_tick_params(**tickparam)
+
+        if _label is not None:
+            pos = self._axis.get_label_position()
+            if (pos == self._axis_direction) and not _label:
+                self._axis.label.set_visible(False)
+            elif _label:
+                self._axis.label.set_visible(True)
+                self._axis.set_label_position(self._axis_direction)

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/parasite_axes.py

@@ -0,0 +1,257 @@
+from matplotlib import _api, cbook
+import matplotlib.artist as martist
+import matplotlib.transforms as mtransforms
+from matplotlib.transforms import Bbox
+from .mpl_axes import Axes
+
+
+class ParasiteAxesBase:
+
+    def __init__(self, parent_axes, aux_transform=None,
+                 *, viewlim_mode=None, **kwargs):
+        self._parent_axes = parent_axes
+        self.transAux = aux_transform
+        self.set_viewlim_mode(viewlim_mode)
+        kwargs["frameon"] = False
+        super().__init__(parent_axes.figure, parent_axes._position, **kwargs)
+
+    def clear(self):
+        super().clear()
+        martist.setp(self.get_children(), visible=False)
+        self._get_lines = self._parent_axes._get_lines
+        self._parent_axes.callbacks._connect_picklable(
+            "xlim_changed", self._sync_lims)
+        self._parent_axes.callbacks._connect_picklable(
+            "ylim_changed", self._sync_lims)
+
+    def pick(self, mouseevent):
+        # This most likely goes to Artist.pick (depending on axes_class given
+        # to the factory), which only handles pick events registered on the
+        # axes associated with each child:
+        super().pick(mouseevent)
+        # But parasite axes are additionally given pick events from their host
+        # axes (cf. HostAxesBase.pick), which we handle here:
+        for a in self.get_children():
+            if (hasattr(mouseevent.inaxes, "parasites")
+                    and self in mouseevent.inaxes.parasites):
+                a.pick(mouseevent)
+
+    # aux_transform support
+
+    def _set_lim_and_transforms(self):
+        if self.transAux is not None:
+            self.transAxes = self._parent_axes.transAxes
+            self.transData = self.transAux + self._parent_axes.transData
+            self._xaxis_transform = mtransforms.blended_transform_factory(
+                self.transData, self.transAxes)
+            self._yaxis_transform = mtransforms.blended_transform_factory(
+                self.transAxes, self.transData)
+        else:
+            super()._set_lim_and_transforms()
+
+    def set_viewlim_mode(self, mode):
+        _api.check_in_list([None, "equal", "transform"], mode=mode)
+        self._viewlim_mode = mode
+
+    def get_viewlim_mode(self):
+        return self._viewlim_mode
+
+    def _sync_lims(self, parent):
+        viewlim = parent.viewLim.frozen()
+        mode = self.get_viewlim_mode()
+        if mode is None:
+            pass
+        elif mode == "equal":
+            self.viewLim.set(viewlim)
+        elif mode == "transform":
+            self.viewLim.set(viewlim.transformed(self.transAux.inverted()))
+        else:
+            _api.check_in_list([None, "equal", "transform"], mode=mode)
+
+    # end of aux_transform support
+
+
+parasite_axes_class_factory = cbook._make_class_factory(
+    ParasiteAxesBase, "{}Parasite")
+ParasiteAxes = parasite_axes_class_factory(Axes)
+
+
+class HostAxesBase:
+    def __init__(self, *args, **kwargs):
+        self.parasites = []
+        super().__init__(*args, **kwargs)
+
+    def get_aux_axes(
+            self, tr=None, viewlim_mode="equal", axes_class=None, **kwargs):
+        """
+        Add a parasite axes to this host.
+
+        Despite this method's name, this should actually be thought of as an
+        ``add_parasite_axes`` method.
+
+        .. versionchanged:: 3.7
+           Defaults to same base axes class as host axes.
+
+        Parameters
+        ----------
+        tr : `~matplotlib.transforms.Transform` or None, default: None
+            If a `.Transform`, the following relation will hold:
+            ``parasite.transData = tr + host.transData``.
+            If None, the parasite's and the host's ``transData`` are unrelated.
+        viewlim_mode : {"equal", "transform", None}, default: "equal"
+            How the parasite's view limits are set: directly equal to the
+            parent axes ("equal"), equal after application of *tr*
+            ("transform"), or independently (None).
+        axes_class : subclass type of `~matplotlib.axes.Axes`, optional
+            The `~.axes.Axes` subclass that is instantiated.  If None, the base
+            class of the host axes is used.
+        **kwargs
+            Other parameters are forwarded to the parasite axes constructor.
+        """
+        if axes_class is None:
+            axes_class = self._base_axes_class
+        parasite_axes_class = parasite_axes_class_factory(axes_class)
+        ax2 = parasite_axes_class(
+            self, tr, viewlim_mode=viewlim_mode, **kwargs)
+        # note that ax2.transData == tr + ax1.transData
+        # Anything you draw in ax2 will match the ticks and grids of ax1.
+        self.parasites.append(ax2)
+        ax2._remove_method = self.parasites.remove
+        return ax2
+
+    def draw(self, renderer):
+        orig_children_len = len(self._children)
+
+        locator = self.get_axes_locator()
+        if locator:
+            pos = locator(self, renderer)
+            self.set_position(pos, which="active")
+            self.apply_aspect(pos)
+        else:
+            self.apply_aspect()
+
+        rect = self.get_position()
+        for ax in self.parasites:
+            ax.apply_aspect(rect)
+            self._children.extend(ax.get_children())
+
+        super().draw(renderer)
+        del self._children[orig_children_len:]
+
+    def clear(self):
+        super().clear()
+        for ax in self.parasites:
+            ax.clear()
+
+    def pick(self, mouseevent):
+        super().pick(mouseevent)
+        # Also pass pick events on to parasite axes and, in turn, their
+        # children (cf. ParasiteAxesBase.pick)
+        for a in self.parasites:
+            a.pick(mouseevent)
+
+    def twinx(self, axes_class=None):
+        """
+        Create a twin of Axes with a shared x-axis but independent y-axis.
+
+        The y-axis of self will have ticks on the left and the returned axes
+        will have ticks on the right.
+        """
+        ax = self._add_twin_axes(axes_class, sharex=self)
+        self.axis["right"].set_visible(False)
+        ax.axis["right"].set_visible(True)
+        ax.axis["left", "top", "bottom"].set_visible(False)
+        return ax
+
+    def twiny(self, axes_class=None):
+        """
+        Create a twin of Axes with a shared y-axis but independent x-axis.
+
+        The x-axis of self will have ticks on the bottom and the returned axes
+        will have ticks on the top.
+        """
+        ax = self._add_twin_axes(axes_class, sharey=self)
+        self.axis["top"].set_visible(False)
+        ax.axis["top"].set_visible(True)
+        ax.axis["left", "right", "bottom"].set_visible(False)
+        return ax
+
+    def twin(self, aux_trans=None, axes_class=None):
+        """
+        Create a twin of Axes with no shared axis.
+
+        While self will have ticks on the left and bottom axis, the returned
+        axes will have ticks on the top and right axis.
+        """
+        if aux_trans is None:
+            aux_trans = mtransforms.IdentityTransform()
+        ax = self._add_twin_axes(
+            axes_class, aux_transform=aux_trans, viewlim_mode="transform")
+        self.axis["top", "right"].set_visible(False)
+        ax.axis["top", "right"].set_visible(True)
+        ax.axis["left", "bottom"].set_visible(False)
+        return ax
+
+    def _add_twin_axes(self, axes_class, **kwargs):
+        """
+        Helper for `.twinx`/`.twiny`/`.twin`.
+
+        *kwargs* are forwarded to the parasite axes constructor.
+        """
+        if axes_class is None:
+            axes_class = self._base_axes_class
+        ax = parasite_axes_class_factory(axes_class)(self, **kwargs)
+        self.parasites.append(ax)
+        ax._remove_method = self._remove_any_twin
+        return ax
+
+    def _remove_any_twin(self, ax):
+        self.parasites.remove(ax)
+        restore = ["top", "right"]
+        if ax._sharex:
+            restore.remove("top")
+        if ax._sharey:
+            restore.remove("right")
+        self.axis[tuple(restore)].set_visible(True)
+        self.axis[tuple(restore)].toggle(ticklabels=False, label=False)
+
+    @_api.make_keyword_only("3.8", "call_axes_locator")
+    def get_tightbbox(self, renderer=None, call_axes_locator=True,
+                      bbox_extra_artists=None):
+        bbs = [
+            *[ax.get_tightbbox(renderer, call_axes_locator=call_axes_locator)
+              for ax in self.parasites],
+            super().get_tightbbox(renderer,
+                                  call_axes_locator=call_axes_locator,
+                                  bbox_extra_artists=bbox_extra_artists)]
+        return Bbox.union([b for b in bbs if b.width != 0 or b.height != 0])
+
+
+host_axes_class_factory = host_subplot_class_factory = \
+    cbook._make_class_factory(HostAxesBase, "{}HostAxes", "_base_axes_class")
+HostAxes = SubplotHost = host_axes_class_factory(Axes)
+
+
+def host_axes(*args, axes_class=Axes, figure=None, **kwargs):
+    """
+    Create axes that can act as a hosts to parasitic axes.
+
+    Parameters
+    ----------
+    figure : `~matplotlib.figure.Figure`
+        Figure to which the axes will be added. Defaults to the current figure
+        `.pyplot.gcf()`.
+
+    *args, **kwargs
+        Will be passed on to the underlying `~.axes.Axes` object creation.
+    """
+    import matplotlib.pyplot as plt
+    host_axes_class = host_axes_class_factory(axes_class)
+    if figure is None:
+        figure = plt.gcf()
+    ax = host_axes_class(figure, *args, **kwargs)
+    figure.add_axes(ax)
+    return ax
+
+
+host_subplot = host_axes

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/tests/__init__.py

@@ -0,0 +1,10 @@
+from pathlib import Path
+
+
+# Check that the test directories exist
+if not (Path(__file__).parent / "baseline_images").exists():
+    raise OSError(
+        'The baseline image directory does not exist. '
+        'This is most likely because the test data is not installed. '
+        'You may need to install matplotlib from source to get the '
+        'test data.')

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/tests/conftest.py

@@ -0,0 +1,2 @@
+from matplotlib.testing.conftest import (mpl_test_settings,  # noqa
+                                         pytest_configure, pytest_unconfigure)

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/tests/test_axes_grid1.py

@@ -0,0 +1,792 @@
+from itertools import product
+import io
+import platform
+
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import matplotlib.ticker as mticker
+from matplotlib import cbook
+from matplotlib.backend_bases import MouseEvent
+from matplotlib.colors import LogNorm
+from matplotlib.patches import Circle, Ellipse
+from matplotlib.transforms import Bbox, TransformedBbox
+from matplotlib.testing.decorators import (
+    check_figures_equal, image_comparison, remove_ticks_and_titles)
+
+from mpl_toolkits.axes_grid1 import (
+    axes_size as Size,
+    host_subplot, make_axes_locatable,
+    Grid, AxesGrid, ImageGrid)
+from mpl_toolkits.axes_grid1.anchored_artists import (
+    AnchoredAuxTransformBox, AnchoredDrawingArea, AnchoredEllipse,
+    AnchoredDirectionArrows, AnchoredSizeBar)
+from mpl_toolkits.axes_grid1.axes_divider import (
+    Divider, HBoxDivider, make_axes_area_auto_adjustable, SubplotDivider,
+    VBoxDivider)
+from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes
+from mpl_toolkits.axes_grid1.inset_locator import (
+    zoomed_inset_axes, mark_inset, inset_axes, BboxConnectorPatch,
+    InsetPosition)
+import mpl_toolkits.axes_grid1.mpl_axes
+import pytest
+
+import numpy as np
+from numpy.testing import assert_array_equal, assert_array_almost_equal
+
+
+def test_divider_append_axes():
+    fig, ax = plt.subplots()
+    divider = make_axes_locatable(ax)
+    axs = {
+        "main": ax,
+        "top": divider.append_axes("top", 1.2, pad=0.1, sharex=ax),
+        "bottom": divider.append_axes("bottom", 1.2, pad=0.1, sharex=ax),
+        "left": divider.append_axes("left", 1.2, pad=0.1, sharey=ax),
+        "right": divider.append_axes("right", 1.2, pad=0.1, sharey=ax),
+    }
+    fig.canvas.draw()
+    bboxes = {k: axs[k].get_window_extent() for k in axs}
+    dpi = fig.dpi
+    assert bboxes["top"].height == pytest.approx(1.2 * dpi)
+    assert bboxes["bottom"].height == pytest.approx(1.2 * dpi)
+    assert bboxes["left"].width == pytest.approx(1.2 * dpi)
+    assert bboxes["right"].width == pytest.approx(1.2 * dpi)
+    assert bboxes["top"].y0 - bboxes["main"].y1 == pytest.approx(0.1 * dpi)
+    assert bboxes["main"].y0 - bboxes["bottom"].y1 == pytest.approx(0.1 * dpi)
+    assert bboxes["main"].x0 - bboxes["left"].x1 == pytest.approx(0.1 * dpi)
+    assert bboxes["right"].x0 - bboxes["main"].x1 == pytest.approx(0.1 * dpi)
+    assert bboxes["left"].y0 == bboxes["main"].y0 == bboxes["right"].y0
+    assert bboxes["left"].y1 == bboxes["main"].y1 == bboxes["right"].y1
+    assert bboxes["top"].x0 == bboxes["main"].x0 == bboxes["bottom"].x0
+    assert bboxes["top"].x1 == bboxes["main"].x1 == bboxes["bottom"].x1
+
+
+# Update style when regenerating the test image
+@image_comparison(['twin_axes_empty_and_removed'], extensions=["png"], tol=1,
+                  style=('classic', '_classic_test_patch'))
+def test_twin_axes_empty_and_removed():
+    # Purely cosmetic font changes (avoid overlap)
+    mpl.rcParams.update(
+        {"font.size": 8, "xtick.labelsize": 8, "ytick.labelsize": 8})
+    generators = ["twinx", "twiny", "twin"]
+    modifiers = ["", "host invisible", "twin removed", "twin invisible",
+                 "twin removed\nhost invisible"]
+    # Unmodified host subplot at the beginning for reference
+    h = host_subplot(len(modifiers)+1, len(generators), 2)
+    h.text(0.5, 0.5, "host_subplot",
+           horizontalalignment="center", verticalalignment="center")
+    # Host subplots with various modifications (twin*, visibility) applied
+    for i, (mod, gen) in enumerate(product(modifiers, generators),
+                                   len(generators) + 1):
+        h = host_subplot(len(modifiers)+1, len(generators), i)
+        t = getattr(h, gen)()
+        if "twin invisible" in mod:
+            t.axis[:].set_visible(False)
+        if "twin removed" in mod:
+            t.remove()
+        if "host invisible" in mod:
+            h.axis[:].set_visible(False)
+        h.text(0.5, 0.5, gen + ("\n" + mod if mod else ""),
+               horizontalalignment="center", verticalalignment="center")
+    plt.subplots_adjust(wspace=0.5, hspace=1)
+
+
+def test_twin_axes_both_with_units():
+    host = host_subplot(111)
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        host.plot_date([0, 1, 2], [0, 1, 2], xdate=False, ydate=True)
+    twin = host.twinx()
+    twin.plot(["a", "b", "c"])
+    assert host.get_yticklabels()[0].get_text() == "00:00:00"
+    assert twin.get_yticklabels()[0].get_text() == "a"
+
+
+def test_axesgrid_colorbar_log_smoketest():
+    fig = plt.figure()
+    grid = AxesGrid(fig, 111,  # modified to be only subplot
+                    nrows_ncols=(1, 1),
+                    ngrids=1,
+                    label_mode="L",
+                    cbar_location="top",
+                    cbar_mode="single",
+                    )
+
+    Z = 10000 * np.random.rand(10, 10)
+    im = grid[0].imshow(Z, interpolation="nearest", norm=LogNorm())
+
+    grid.cbar_axes[0].colorbar(im)
+
+
+def test_inset_colorbar_tight_layout_smoketest():
+    fig, ax = plt.subplots(1, 1)
+    pts = ax.scatter([0, 1], [0, 1], c=[1, 5])
+
+    cax = inset_axes(ax, width="3%", height="70%")
+    plt.colorbar(pts, cax=cax)
+
+    with pytest.warns(UserWarning, match="This figure includes Axes"):
+        # Will warn, but not raise an error
+        plt.tight_layout()
+
+
+@image_comparison(['inset_locator.png'], style='default', remove_text=True)
+def test_inset_locator():
+    fig, ax = plt.subplots(figsize=[5, 4])
+
+    # prepare the demo image
+    # Z is a 15x15 array
+    Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
+    extent = (-3, 4, -4, 3)
+    Z2 = np.zeros((150, 150))
+    ny, nx = Z.shape
+    Z2[30:30+ny, 30:30+nx] = Z
+
+    ax.imshow(Z2, extent=extent, interpolation="nearest",
+              origin="lower")
+
+    axins = zoomed_inset_axes(ax, zoom=6, loc='upper right')
+    axins.imshow(Z2, extent=extent, interpolation="nearest",
+                 origin="lower")
+    axins.yaxis.get_major_locator().set_params(nbins=7)
+    axins.xaxis.get_major_locator().set_params(nbins=7)
+    # sub region of the original image
+    x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
+    axins.set_xlim(x1, x2)
+    axins.set_ylim(y1, y2)
+
+    plt.xticks(visible=False)
+    plt.yticks(visible=False)
+
+    # draw a bbox of the region of the inset axes in the parent axes and
+    # connecting lines between the bbox and the inset axes area
+    mark_inset(ax, axins, loc1=2, loc2=4, fc="none", ec="0.5")
+
+    asb = AnchoredSizeBar(ax.transData,
+                          0.5,
+                          '0.5',
+                          loc='lower center',
+                          pad=0.1, borderpad=0.5, sep=5,
+                          frameon=False)
+    ax.add_artist(asb)
+
+
+@image_comparison(['inset_axes.png'], style='default', remove_text=True)
+def test_inset_axes():
+    fig, ax = plt.subplots(figsize=[5, 4])
+
+    # prepare the demo image
+    # Z is a 15x15 array
+    Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
+    extent = (-3, 4, -4, 3)
+    Z2 = np.zeros((150, 150))
+    ny, nx = Z.shape
+    Z2[30:30+ny, 30:30+nx] = Z
+
+    ax.imshow(Z2, extent=extent, interpolation="nearest",
+              origin="lower")
+
+    # creating our inset axes with a bbox_transform parameter
+    axins = inset_axes(ax, width=1., height=1., bbox_to_anchor=(1, 1),
+                       bbox_transform=ax.transAxes)
+
+    axins.imshow(Z2, extent=extent, interpolation="nearest",
+                 origin="lower")
+    axins.yaxis.get_major_locator().set_params(nbins=7)
+    axins.xaxis.get_major_locator().set_params(nbins=7)
+    # sub region of the original image
+    x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
+    axins.set_xlim(x1, x2)
+    axins.set_ylim(y1, y2)
+
+    plt.xticks(visible=False)
+    plt.yticks(visible=False)
+
+    # draw a bbox of the region of the inset axes in the parent axes and
+    # connecting lines between the bbox and the inset axes area
+    mark_inset(ax, axins, loc1=2, loc2=4, fc="none", ec="0.5")
+
+    asb = AnchoredSizeBar(ax.transData,
+                          0.5,
+                          '0.5',
+                          loc='lower center',
+                          pad=0.1, borderpad=0.5, sep=5,
+                          frameon=False)
+    ax.add_artist(asb)
+
+
+def test_inset_axes_complete():
+    dpi = 100
+    figsize = (6, 5)
+    fig, ax = plt.subplots(figsize=figsize, dpi=dpi)
+    fig.subplots_adjust(.1, .1, .9, .9)
+
+    ins = inset_axes(ax, width=2., height=2., borderpad=0)
+    fig.canvas.draw()
+    assert_array_almost_equal(
+        ins.get_position().extents,
+        [(0.9*figsize[0]-2.)/figsize[0], (0.9*figsize[1]-2.)/figsize[1],
+         0.9, 0.9])
+
+    ins = inset_axes(ax, width="40%", height="30%", borderpad=0)
+    fig.canvas.draw()
+    assert_array_almost_equal(
+        ins.get_position().extents, [.9-.8*.4, .9-.8*.3, 0.9, 0.9])
+
+    ins = inset_axes(ax, width=1., height=1.2, bbox_to_anchor=(200, 100),
+                     loc=3, borderpad=0)
+    fig.canvas.draw()
+    assert_array_almost_equal(
+        ins.get_position().extents,
+        [200/dpi/figsize[0], 100/dpi/figsize[1],
+         (200/dpi+1)/figsize[0], (100/dpi+1.2)/figsize[1]])
+
+    ins1 = inset_axes(ax, width="35%", height="60%", loc=3, borderpad=1)
+    ins2 = inset_axes(ax, width="100%", height="100%",
+                      bbox_to_anchor=(0, 0, .35, .60),
+                      bbox_transform=ax.transAxes, loc=3, borderpad=1)
+    fig.canvas.draw()
+    assert_array_equal(ins1.get_position().extents,
+                       ins2.get_position().extents)
+
+    with pytest.raises(ValueError):
+        ins = inset_axes(ax, width="40%", height="30%",
+                         bbox_to_anchor=(0.4, 0.5))
+
+    with pytest.warns(UserWarning):
+        ins = inset_axes(ax, width="40%", height="30%",
+                         bbox_transform=ax.transAxes)
+
+
+def test_inset_axes_tight():
+    # gh-26287 found that inset_axes raised with bbox_inches=tight
+    fig, ax = plt.subplots()
+    inset_axes(ax, width=1.3, height=0.9)
+
+    f = io.BytesIO()
+    fig.savefig(f, bbox_inches="tight")
+
+
+@image_comparison(['fill_facecolor.png'], remove_text=True, style='mpl20')
+def test_fill_facecolor():
+    fig, ax = plt.subplots(1, 5)
+    fig.set_size_inches(5, 5)
+    for i in range(1, 4):
+        ax[i].yaxis.set_visible(False)
+    ax[4].yaxis.tick_right()
+    bbox = Bbox.from_extents(0, 0.4, 1, 0.6)
+
+    # fill with blue by setting 'fc' field
+    bbox1 = TransformedBbox(bbox, ax[0].transData)
+    bbox2 = TransformedBbox(bbox, ax[1].transData)
+    # set color to BboxConnectorPatch
+    p = BboxConnectorPatch(
+        bbox1, bbox2, loc1a=1, loc2a=2, loc1b=4, loc2b=3,
+        ec="r", fc="b")
+    p.set_clip_on(False)
+    ax[0].add_patch(p)
+    # set color to marked area
+    axins = zoomed_inset_axes(ax[0], 1, loc='upper right')
+    axins.set_xlim(0, 0.2)
+    axins.set_ylim(0, 0.2)
+    plt.gca().axes.xaxis.set_ticks([])
+    plt.gca().axes.yaxis.set_ticks([])
+    mark_inset(ax[0], axins, loc1=2, loc2=4, fc="b", ec="0.5")
+
+    # fill with yellow by setting 'facecolor' field
+    bbox3 = TransformedBbox(bbox, ax[1].transData)
+    bbox4 = TransformedBbox(bbox, ax[2].transData)
+    # set color to BboxConnectorPatch
+    p = BboxConnectorPatch(
+        bbox3, bbox4, loc1a=1, loc2a=2, loc1b=4, loc2b=3,
+        ec="r", facecolor="y")
+    p.set_clip_on(False)
+    ax[1].add_patch(p)
+    # set color to marked area
+    axins = zoomed_inset_axes(ax[1], 1, loc='upper right')
+    axins.set_xlim(0, 0.2)
+    axins.set_ylim(0, 0.2)
+    plt.gca().axes.xaxis.set_ticks([])
+    plt.gca().axes.yaxis.set_ticks([])
+    mark_inset(ax[1], axins, loc1=2, loc2=4, facecolor="y", ec="0.5")
+
+    # fill with green by setting 'color' field
+    bbox5 = TransformedBbox(bbox, ax[2].transData)
+    bbox6 = TransformedBbox(bbox, ax[3].transData)
+    # set color to BboxConnectorPatch
+    p = BboxConnectorPatch(
+        bbox5, bbox6, loc1a=1, loc2a=2, loc1b=4, loc2b=3,
+        ec="r", color="g")
+    p.set_clip_on(False)
+    ax[2].add_patch(p)
+    # set color to marked area
+    axins = zoomed_inset_axes(ax[2], 1, loc='upper right')
+    axins.set_xlim(0, 0.2)
+    axins.set_ylim(0, 0.2)
+    plt.gca().axes.xaxis.set_ticks([])
+    plt.gca().axes.yaxis.set_ticks([])
+    mark_inset(ax[2], axins, loc1=2, loc2=4, color="g", ec="0.5")
+
+    # fill with green but color won't show if set fill to False
+    bbox7 = TransformedBbox(bbox, ax[3].transData)
+    bbox8 = TransformedBbox(bbox, ax[4].transData)
+    # BboxConnectorPatch won't show green
+    p = BboxConnectorPatch(
+        bbox7, bbox8, loc1a=1, loc2a=2, loc1b=4, loc2b=3,
+        ec="r", fc="g", fill=False)
+    p.set_clip_on(False)
+    ax[3].add_patch(p)
+    # marked area won't show green
+    axins = zoomed_inset_axes(ax[3], 1, loc='upper right')
+    axins.set_xlim(0, 0.2)
+    axins.set_ylim(0, 0.2)
+    axins.xaxis.set_ticks([])
+    axins.yaxis.set_ticks([])
+    mark_inset(ax[3], axins, loc1=2, loc2=4, fc="g", ec="0.5", fill=False)
+
+
+# Update style when regenerating the test image
+@image_comparison(['zoomed_axes.png', 'inverted_zoomed_axes.png'],
+                  style=('classic', '_classic_test_patch'),
+                  tol=0.02 if platform.machine() == 'arm64' else 0)
+def test_zooming_with_inverted_axes():
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3], [1, 2, 3])
+    ax.axis([1, 3, 1, 3])
+    inset_ax = zoomed_inset_axes(ax, zoom=2.5, loc='lower right')
+    inset_ax.axis([1.1, 1.4, 1.1, 1.4])
+
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3], [1, 2, 3])
+    ax.axis([3, 1, 3, 1])
+    inset_ax = zoomed_inset_axes(ax, zoom=2.5, loc='lower right')
+    inset_ax.axis([1.4, 1.1, 1.4, 1.1])
+
+
+# Update style when regenerating the test image
+@image_comparison(['anchored_direction_arrows.png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.01,
+                  style=('classic', '_classic_test_patch'))
+def test_anchored_direction_arrows():
+    fig, ax = plt.subplots()
+    ax.imshow(np.zeros((10, 10)), interpolation='nearest')
+
+    simple_arrow = AnchoredDirectionArrows(ax.transAxes, 'X', 'Y')
+    ax.add_artist(simple_arrow)
+
+
+# Update style when regenerating the test image
+@image_comparison(['anchored_direction_arrows_many_args.png'],
+                  style=('classic', '_classic_test_patch'))
+def test_anchored_direction_arrows_many_args():
+    fig, ax = plt.subplots()
+    ax.imshow(np.ones((10, 10)))
+
+    direction_arrows = AnchoredDirectionArrows(
+            ax.transAxes, 'A', 'B', loc='upper right', color='red',
+            aspect_ratio=-0.5, pad=0.6, borderpad=2, frameon=True, alpha=0.7,
+            sep_x=-0.06, sep_y=-0.08, back_length=0.1, head_width=9,
+            head_length=10, tail_width=5)
+    ax.add_artist(direction_arrows)
+
+
+def test_axes_locatable_position():
+    fig, ax = plt.subplots()
+    divider = make_axes_locatable(ax)
+    with mpl.rc_context({"figure.subplot.wspace": 0.02}):
+        cax = divider.append_axes('right', size='5%')
+    fig.canvas.draw()
+    assert np.isclose(cax.get_position(original=False).width,
+                      0.03621495327102808)
+
+
+@image_comparison(['image_grid_each_left_label_mode_all.png'], style='mpl20',
+                  savefig_kwarg={'bbox_inches': 'tight'})
+def test_image_grid_each_left_label_mode_all():
+    imdata = np.arange(100).reshape((10, 10))
+
+    fig = plt.figure(1, (3, 3))
+    grid = ImageGrid(fig, (1, 1, 1), nrows_ncols=(3, 2), axes_pad=(0.5, 0.3),
+                     cbar_mode="each", cbar_location="left", cbar_size="15%",
+                     label_mode="all")
+    # 3-tuple rect => SubplotDivider
+    assert isinstance(grid.get_divider(), SubplotDivider)
+    assert grid.get_axes_pad() == (0.5, 0.3)
+    assert grid.get_aspect()  # True by default for ImageGrid
+    for ax, cax in zip(grid, grid.cbar_axes):
+        im = ax.imshow(imdata, interpolation='none')
+        cax.colorbar(im)
+
+
+@image_comparison(['image_grid_single_bottom_label_mode_1.png'], style='mpl20',
+                  savefig_kwarg={'bbox_inches': 'tight'})
+def test_image_grid_single_bottom():
+    imdata = np.arange(100).reshape((10, 10))
+
+    fig = plt.figure(1, (2.5, 1.5))
+    grid = ImageGrid(fig, (0, 0, 1, 1), nrows_ncols=(1, 3),
+                     axes_pad=(0.2, 0.15), cbar_mode="single",
+                     cbar_location="bottom", cbar_size="10%", label_mode="1")
+    # 4-tuple rect => Divider, isinstance will give True for SubplotDivider
+    assert type(grid.get_divider()) is Divider
+    for i in range(3):
+        im = grid[i].imshow(imdata, interpolation='none')
+    grid.cbar_axes[0].colorbar(im)
+
+
+def test_image_grid_label_mode_invalid():
+    fig = plt.figure()
+    with pytest.raises(ValueError, match="'foo' is not a valid value for mode"):
+        ImageGrid(fig, (0, 0, 1, 1), (2, 1), label_mode="foo")
+
+
+@image_comparison(['image_grid.png'],
+                  remove_text=True, style='mpl20',
+                  savefig_kwarg={'bbox_inches': 'tight'})
+def test_image_grid():
+    # test that image grid works with bbox_inches=tight.
+    im = np.arange(100).reshape((10, 10))
+
+    fig = plt.figure(1, (4, 4))
+    grid = ImageGrid(fig, 111, nrows_ncols=(2, 2), axes_pad=0.1)
+    assert grid.get_axes_pad() == (0.1, 0.1)
+    for i in range(4):
+        grid[i].imshow(im, interpolation='nearest')
+
+
+def test_gettightbbox():
+    fig, ax = plt.subplots(figsize=(8, 6))
+
+    l, = ax.plot([1, 2, 3], [0, 1, 0])
+
+    ax_zoom = zoomed_inset_axes(ax, 4)
+    ax_zoom.plot([1, 2, 3], [0, 1, 0])
+
+    mark_inset(ax, ax_zoom, loc1=1, loc2=3, fc="none", ec='0.3')
+
+    remove_ticks_and_titles(fig)
+    bbox = fig.get_tightbbox(fig.canvas.get_renderer())
+    np.testing.assert_array_almost_equal(bbox.extents,
+                                         [-17.7, -13.9, 7.2, 5.4])
+
+
+@pytest.mark.parametrize("click_on", ["big", "small"])
+@pytest.mark.parametrize("big_on_axes,small_on_axes", [
+    ("gca", "gca"),
+    ("host", "host"),
+    ("host", "parasite"),
+    ("parasite", "host"),
+    ("parasite", "parasite")
+])
+def test_picking_callbacks_overlap(big_on_axes, small_on_axes, click_on):
+    """Test pick events on normal, host or parasite axes."""
+    # Two rectangles are drawn and "clicked on", a small one and a big one
+    # enclosing the small one. The axis on which they are drawn as well as the
+    # rectangle that is clicked on are varied.
+    # In each case we expect that both rectangles are picked if we click on the
+    # small one and only the big one is picked if we click on the big one.
+    # Also tests picking on normal axes ("gca") as a control.
+    big = plt.Rectangle((0.25, 0.25), 0.5, 0.5, picker=5)
+    small = plt.Rectangle((0.4, 0.4), 0.2, 0.2, facecolor="r", picker=5)
+    # Machinery for "receiving" events
+    received_events = []
+    def on_pick(event):
+        received_events.append(event)
+    plt.gcf().canvas.mpl_connect('pick_event', on_pick)
+    # Shortcut
+    rectangles_on_axes = (big_on_axes, small_on_axes)
+    # Axes setup
+    axes = {"gca": None, "host": None, "parasite": None}
+    if "gca" in rectangles_on_axes:
+        axes["gca"] = plt.gca()
+    if "host" in rectangles_on_axes or "parasite" in rectangles_on_axes:
+        axes["host"] = host_subplot(111)
+        axes["parasite"] = axes["host"].twin()
+    # Add rectangles to axes
+    axes[big_on_axes].add_patch(big)
+    axes[small_on_axes].add_patch(small)
+    # Simulate picking with click mouse event
+    if click_on == "big":
+        click_axes = axes[big_on_axes]
+        axes_coords = (0.3, 0.3)
+    else:
+        click_axes = axes[small_on_axes]
+        axes_coords = (0.5, 0.5)
+    # In reality mouse events never happen on parasite axes, only host axes
+    if click_axes is axes["parasite"]:
+        click_axes = axes["host"]
+    (x, y) = click_axes.transAxes.transform(axes_coords)
+    m = MouseEvent("button_press_event", click_axes.figure.canvas, x, y,
+                   button=1)
+    click_axes.pick(m)
+    # Checks
+    expected_n_events = 2 if click_on == "small" else 1
+    assert len(received_events) == expected_n_events
+    event_rects = [event.artist for event in received_events]
+    assert big in event_rects
+    if click_on == "small":
+        assert small in event_rects
+
+
+@image_comparison(['anchored_artists.png'], remove_text=True, style='mpl20')
+def test_anchored_artists():
+    fig, ax = plt.subplots(figsize=(3, 3))
+    ada = AnchoredDrawingArea(40, 20, 0, 0, loc='upper right', pad=0.,
+                              frameon=False)
+    p1 = Circle((10, 10), 10)
+    ada.drawing_area.add_artist(p1)
+    p2 = Circle((30, 10), 5, fc="r")
+    ada.drawing_area.add_artist(p2)
+    ax.add_artist(ada)
+
+    box = AnchoredAuxTransformBox(ax.transData, loc='upper left')
+    el = Ellipse((0, 0), width=0.1, height=0.4, angle=30, color='cyan')
+    box.drawing_area.add_artist(el)
+    ax.add_artist(box)
+
+    # Manually construct the ellipse instead, once the deprecation elapses.
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        ae = AnchoredEllipse(ax.transData, width=0.1, height=0.25, angle=-60,
+                             loc='lower left', pad=0.5, borderpad=0.4,
+                             frameon=True)
+    ax.add_artist(ae)
+
+    asb = AnchoredSizeBar(ax.transData, 0.2, r"0.2 units", loc='lower right',
+                          pad=0.3, borderpad=0.4, sep=4, fill_bar=True,
+                          frameon=False, label_top=True, prop={'size': 20},
+                          size_vertical=0.05, color='green')
+    ax.add_artist(asb)
+
+
+def test_hbox_divider():
+    arr1 = np.arange(20).reshape((4, 5))
+    arr2 = np.arange(20).reshape((5, 4))
+
+    fig, (ax1, ax2) = plt.subplots(1, 2)
+    ax1.imshow(arr1)
+    ax2.imshow(arr2)
+
+    pad = 0.5  # inches.
+    divider = HBoxDivider(
+        fig, 111,  # Position of combined axes.
+        horizontal=[Size.AxesX(ax1), Size.Fixed(pad), Size.AxesX(ax2)],
+        vertical=[Size.AxesY(ax1), Size.Scaled(1), Size.AxesY(ax2)])
+    ax1.set_axes_locator(divider.new_locator(0))
+    ax2.set_axes_locator(divider.new_locator(2))
+
+    fig.canvas.draw()
+    p1 = ax1.get_position()
+    p2 = ax2.get_position()
+    assert p1.height == p2.height
+    assert p2.width / p1.width == pytest.approx((4 / 5) ** 2)
+
+
+def test_vbox_divider():
+    arr1 = np.arange(20).reshape((4, 5))
+    arr2 = np.arange(20).reshape((5, 4))
+
+    fig, (ax1, ax2) = plt.subplots(1, 2)
+    ax1.imshow(arr1)
+    ax2.imshow(arr2)
+
+    pad = 0.5  # inches.
+    divider = VBoxDivider(
+        fig, 111,  # Position of combined axes.
+        horizontal=[Size.AxesX(ax1), Size.Scaled(1), Size.AxesX(ax2)],
+        vertical=[Size.AxesY(ax1), Size.Fixed(pad), Size.AxesY(ax2)])
+    ax1.set_axes_locator(divider.new_locator(0))
+    ax2.set_axes_locator(divider.new_locator(2))
+
+    fig.canvas.draw()
+    p1 = ax1.get_position()
+    p2 = ax2.get_position()
+    assert p1.width == p2.width
+    assert p1.height / p2.height == pytest.approx((4 / 5) ** 2)
+
+
+def test_axes_class_tuple():
+    fig = plt.figure()
+    axes_class = (mpl_toolkits.axes_grid1.mpl_axes.Axes, {})
+    gr = AxesGrid(fig, 111, nrows_ncols=(1, 1), axes_class=axes_class)
+
+
+def test_grid_axes_lists():
+    """Test Grid axes_all, axes_row and axes_column relationship."""
+    fig = plt.figure()
+    grid = Grid(fig, 111, (2, 3), direction="row")
+    assert_array_equal(grid, grid.axes_all)
+    assert_array_equal(grid.axes_row, np.transpose(grid.axes_column))
+    assert_array_equal(grid, np.ravel(grid.axes_row), "row")
+    assert grid.get_geometry() == (2, 3)
+    grid = Grid(fig, 111, (2, 3), direction="column")
+    assert_array_equal(grid, np.ravel(grid.axes_column), "column")
+
+
+@pytest.mark.parametrize('direction', ('row', 'column'))
+def test_grid_axes_position(direction):
+    """Test positioning of the axes in Grid."""
+    fig = plt.figure()
+    grid = Grid(fig, 111, (2, 2), direction=direction)
+    loc = [ax.get_axes_locator() for ax in np.ravel(grid.axes_row)]
+    # Test nx.
+    assert loc[1].args[0] > loc[0].args[0]
+    assert loc[0].args[0] == loc[2].args[0]
+    assert loc[3].args[0] == loc[1].args[0]
+    # Test ny.
+    assert loc[2].args[1] < loc[0].args[1]
+    assert loc[0].args[1] == loc[1].args[1]
+    assert loc[3].args[1] == loc[2].args[1]
+
+
+@pytest.mark.parametrize('rect, ngrids, error, message', (
+    ((1, 1), None, TypeError, "Incorrect rect format"),
+    (111, -1, ValueError, "ngrids must be positive"),
+    (111, 7, ValueError, "ngrids must be positive"),
+))
+def test_grid_errors(rect, ngrids, error, message):
+    fig = plt.figure()
+    with pytest.raises(error, match=message):
+        Grid(fig, rect, (2, 3), ngrids=ngrids)
+
+
+@pytest.mark.parametrize('anchor, error, message', (
+    (None, TypeError, "anchor must be str"),
+    ("CC", ValueError, "'CC' is not a valid value for anchor"),
+    ((1, 1, 1), TypeError, "anchor must be str"),
+))
+def test_divider_errors(anchor, error, message):
+    fig = plt.figure()
+    with pytest.raises(error, match=message):
+        Divider(fig, [0, 0, 1, 1], [Size.Fixed(1)], [Size.Fixed(1)],
+                anchor=anchor)
+
+
+@check_figures_equal(extensions=["png"])
+def test_mark_inset_unstales_viewlim(fig_test, fig_ref):
+    inset, full = fig_test.subplots(1, 2)
+    full.plot([0, 5], [0, 5])
+    inset.set(xlim=(1, 2), ylim=(1, 2))
+    # Check that mark_inset unstales full's viewLim before drawing the marks.
+    mark_inset(full, inset, 1, 4)
+
+    inset, full = fig_ref.subplots(1, 2)
+    full.plot([0, 5], [0, 5])
+    inset.set(xlim=(1, 2), ylim=(1, 2))
+    mark_inset(full, inset, 1, 4)
+    # Manually unstale the full's viewLim.
+    fig_ref.canvas.draw()
+
+
+def test_auto_adjustable():
+    fig = plt.figure()
+    ax = fig.add_axes([0, 0, 1, 1])
+    pad = 0.1
+    make_axes_area_auto_adjustable(ax, pad=pad)
+    fig.canvas.draw()
+    tbb = ax.get_tightbbox()
+    assert tbb.x0 == pytest.approx(pad * fig.dpi)
+    assert tbb.x1 == pytest.approx(fig.bbox.width - pad * fig.dpi)
+    assert tbb.y0 == pytest.approx(pad * fig.dpi)
+    assert tbb.y1 == pytest.approx(fig.bbox.height - pad * fig.dpi)
+
+
+# Update style when regenerating the test image
+@image_comparison(['rgb_axes.png'], remove_text=True,
+                  style=('classic', '_classic_test_patch'))
+def test_rgb_axes():
+    fig = plt.figure()
+    ax = RGBAxes(fig, (0.1, 0.1, 0.8, 0.8), pad=0.1)
+    rng = np.random.default_rng(19680801)
+    r = rng.random((5, 5))
+    g = rng.random((5, 5))
+    b = rng.random((5, 5))
+    ax.imshow_rgb(r, g, b, interpolation='none')
+
+
+# Update style when regenerating the test image
+@image_comparison(['insetposition.png'], remove_text=True,
+                  style=('classic', '_classic_test_patch'))
+def test_insetposition():
+    fig, ax = plt.subplots(figsize=(2, 2))
+    ax_ins = plt.axes([0, 0, 1, 1])
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        ip = InsetPosition(ax, [0.2, 0.25, 0.5, 0.4])
+    ax_ins.set_axes_locator(ip)
+
+
+# The original version of this test relied on mpl_toolkits's slightly different
+# colorbar implementation; moving to matplotlib's own colorbar implementation
+# caused the small image comparison error.
+@image_comparison(['imagegrid_cbar_mode.png'],
+                  remove_text=True, style='mpl20', tol=0.3)
+def test_imagegrid_cbar_mode_edge():
+    arr = np.arange(16).reshape((4, 4))
+
+    fig = plt.figure(figsize=(18, 9))
+
+    positions = (241, 242, 243, 244, 245, 246, 247, 248)
+    directions = ['row']*4 + ['column']*4
+    cbar_locations = ['left', 'right', 'top', 'bottom']*2
+
+    for position, direction, location in zip(
+            positions, directions, cbar_locations):
+        grid = ImageGrid(fig, position,
+                         nrows_ncols=(2, 2),
+                         direction=direction,
+                         cbar_location=location,
+                         cbar_size='20%',
+                         cbar_mode='edge')
+        ax1, ax2, ax3, ax4 = grid
+
+        ax1.imshow(arr, cmap='nipy_spectral')
+        ax2.imshow(arr.T, cmap='hot')
+        ax3.imshow(np.hypot(arr, arr.T), cmap='jet')
+        ax4.imshow(np.arctan2(arr, arr.T), cmap='hsv')
+
+        # In each row/column, the "first" colorbars must be overwritten by the
+        # "second" ones.  To achieve this, clear out the axes first.
+        for ax in grid:
+            ax.cax.cla()
+            cb = ax.cax.colorbar(ax.images[0])
+
+
+def test_imagegrid():
+    fig = plt.figure()
+    grid = ImageGrid(fig, 111, nrows_ncols=(1, 1))
+    ax = grid[0]
+    im = ax.imshow([[1, 2]], norm=mpl.colors.LogNorm())
+    cb = ax.cax.colorbar(im)
+    assert isinstance(cb.locator, mticker.LogLocator)
+
+
+def test_removal():
+    import matplotlib.pyplot as plt
+    import mpl_toolkits.axisartist as AA
+    fig = plt.figure()
+    ax = host_subplot(111, axes_class=AA.Axes, figure=fig)
+    col = ax.fill_between(range(5), 0, range(5))
+    fig.canvas.draw()
+    col.remove()
+    fig.canvas.draw()
+
+
+@image_comparison(['anchored_locator_base_call.png'], style="mpl20")
+def test_anchored_locator_base_call():
+    fig = plt.figure(figsize=(3, 3))
+    fig1, fig2 = fig.subfigures(nrows=2, ncols=1)
+
+    ax = fig1.subplots()
+    ax.set(aspect=1, xlim=(-15, 15), ylim=(-20, 5))
+    ax.set(xticks=[], yticks=[])
+
+    Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
+    extent = (-3, 4, -4, 3)
+
+    axins = zoomed_inset_axes(ax, zoom=2, loc="upper left")
+    axins.set(xticks=[], yticks=[])
+
+    axins.imshow(Z, extent=extent, origin="lower")
+
+
+def test_grid_with_axes_class_not_overriding_axis():
+    Grid(plt.figure(), 111, (2, 2), axes_class=mpl.axes.Axes)
+    RGBAxes(plt.figure(), 111, axes_class=mpl.axes.Axes)

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axisartist/tests/test_floating_axes.py

@@ -0,0 +1,115 @@
+import numpy as np
+
+import matplotlib.pyplot as plt
+import matplotlib.projections as mprojections
+import matplotlib.transforms as mtransforms
+from matplotlib.testing.decorators import image_comparison
+from mpl_toolkits.axisartist.axislines import Subplot
+from mpl_toolkits.axisartist.floating_axes import (
+    FloatingAxes, GridHelperCurveLinear)
+from mpl_toolkits.axisartist.grid_finder import FixedLocator
+from mpl_toolkits.axisartist import angle_helper
+
+
+def test_subplot():
+    fig = plt.figure(figsize=(5, 5))
+    ax = Subplot(fig, 111)
+    fig.add_subplot(ax)
+
+
+# Rather high tolerance to allow ongoing work with floating axes internals;
+# remove when image is regenerated.
+@image_comparison(['curvelinear3.png'], style='default', tol=5)
+def test_curvelinear3():
+    fig = plt.figure(figsize=(5, 5))
+
+    tr = (mtransforms.Affine2D().scale(np.pi / 180, 1) +
+          mprojections.PolarAxes.PolarTransform(apply_theta_transforms=False))
+    grid_helper = GridHelperCurveLinear(
+        tr,
+        extremes=(0, 360, 10, 3),
+        grid_locator1=angle_helper.LocatorDMS(15),
+        grid_locator2=FixedLocator([2, 4, 6, 8, 10]),
+        tick_formatter1=angle_helper.FormatterDMS(),
+        tick_formatter2=None)
+    ax1 = fig.add_subplot(axes_class=FloatingAxes, grid_helper=grid_helper)
+
+    r_scale = 10
+    tr2 = mtransforms.Affine2D().scale(1, 1 / r_scale) + tr
+    grid_helper2 = GridHelperCurveLinear(
+        tr2,
+        extremes=(0, 360, 10 * r_scale, 3 * r_scale),
+        grid_locator2=FixedLocator([30, 60, 90]))
+
+    ax1.axis["right"] = axis = grid_helper2.new_fixed_axis("right", axes=ax1)
+
+    ax1.axis["left"].label.set_text("Test 1")
+    ax1.axis["right"].label.set_text("Test 2")
+    ax1.axis["left", "right"].set_visible(False)
+
+    axis = grid_helper.new_floating_axis(1, 7, axes=ax1,
+                                         axis_direction="bottom")
+    ax1.axis["z"] = axis
+    axis.toggle(all=True, label=True)
+    axis.label.set_text("z = ?")
+    axis.label.set_visible(True)
+    axis.line.set_color("0.5")
+
+    ax2 = ax1.get_aux_axes(tr)
+
+    xx, yy = [67, 90, 75, 30], [2, 5, 8, 4]
+    ax2.scatter(xx, yy)
+    l, = ax2.plot(xx, yy, "k-")
+    l.set_clip_path(ax1.patch)
+
+
+# Rather high tolerance to allow ongoing work with floating axes internals;
+# remove when image is regenerated.
+@image_comparison(['curvelinear4.png'], style='default', tol=0.9)
+def test_curvelinear4():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig = plt.figure(figsize=(5, 5))
+
+    tr = (mtransforms.Affine2D().scale(np.pi / 180, 1) +
+          mprojections.PolarAxes.PolarTransform(apply_theta_transforms=False))
+    grid_helper = GridHelperCurveLinear(
+        tr,
+        extremes=(120, 30, 10, 0),
+        grid_locator1=angle_helper.LocatorDMS(5),
+        grid_locator2=FixedLocator([2, 4, 6, 8, 10]),
+        tick_formatter1=angle_helper.FormatterDMS(),
+        tick_formatter2=None)
+    ax1 = fig.add_subplot(axes_class=FloatingAxes, grid_helper=grid_helper)
+    ax1.clear()  # Check that clear() also restores the correct limits on ax1.
+
+    ax1.axis["left"].label.set_text("Test 1")
+    ax1.axis["right"].label.set_text("Test 2")
+    ax1.axis["top"].set_visible(False)
+
+    axis = grid_helper.new_floating_axis(1, 70, axes=ax1,
+                                         axis_direction="bottom")
+    ax1.axis["z"] = axis
+    axis.toggle(all=True, label=True)
+    axis.label.set_axis_direction("top")
+    axis.label.set_text("z = ?")
+    axis.label.set_visible(True)
+    axis.line.set_color("0.5")
+
+    ax2 = ax1.get_aux_axes(tr)
+
+    xx, yy = [67, 90, 75, 30], [2, 5, 8, 4]
+    ax2.scatter(xx, yy)
+    l, = ax2.plot(xx, yy, "k-")
+    l.set_clip_path(ax1.patch)
+
+
+def test_axis_direction():
+    # Check that axis direction is propagated on a floating axis
+    fig = plt.figure()
+    ax = Subplot(fig, 111)
+    fig.add_subplot(ax)
+    ax.axis['y'] = ax.new_floating_axis(nth_coord=1, value=0,
+                                        axis_direction='left')
+    assert ax.axis['y']._axis_direction == 'left'

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/axisartist/tests/test_grid_helper_curvelinear.py

@@ -0,0 +1,207 @@
+import numpy as np
+
+import matplotlib.pyplot as plt
+from matplotlib.path import Path
+from matplotlib.projections import PolarAxes
+from matplotlib.ticker import FuncFormatter
+from matplotlib.transforms import Affine2D, Transform
+from matplotlib.testing.decorators import image_comparison
+
+from mpl_toolkits.axisartist import SubplotHost
+from mpl_toolkits.axes_grid1.parasite_axes import host_axes_class_factory
+from mpl_toolkits.axisartist import angle_helper
+from mpl_toolkits.axisartist.axislines import Axes
+from mpl_toolkits.axisartist.grid_helper_curvelinear import \
+    GridHelperCurveLinear
+
+
+@image_comparison(['custom_transform.png'], style='default', tol=0.2)
+def test_custom_transform():
+    class MyTransform(Transform):
+        input_dims = output_dims = 2
+
+        def __init__(self, resolution):
+            """
+            Resolution is the number of steps to interpolate between each input
+            line segment to approximate its path in transformed space.
+            """
+            Transform.__init__(self)
+            self._resolution = resolution
+
+        def transform(self, ll):
+            x, y = ll.T
+            return np.column_stack([x, y - x])
+
+        transform_non_affine = transform
+
+        def transform_path(self, path):
+            ipath = path.interpolated(self._resolution)
+            return Path(self.transform(ipath.vertices), ipath.codes)
+
+        transform_path_non_affine = transform_path
+
+        def inverted(self):
+            return MyTransformInv(self._resolution)
+
+    class MyTransformInv(Transform):
+        input_dims = output_dims = 2
+
+        def __init__(self, resolution):
+            Transform.__init__(self)
+            self._resolution = resolution
+
+        def transform(self, ll):
+            x, y = ll.T
+            return np.column_stack([x, y + x])
+
+        def inverted(self):
+            return MyTransform(self._resolution)
+
+    fig = plt.figure()
+
+    SubplotHost = host_axes_class_factory(Axes)
+
+    tr = MyTransform(1)
+    grid_helper = GridHelperCurveLinear(tr)
+    ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)
+    fig.add_subplot(ax1)
+
+    ax2 = ax1.get_aux_axes(tr, viewlim_mode="equal")
+    ax2.plot([3, 6], [5.0, 10.])
+
+    ax1.set_aspect(1.)
+    ax1.set_xlim(0, 10)
+    ax1.set_ylim(0, 10)
+
+    ax1.grid(True)
+
+
+@image_comparison(['polar_box.png'], style='default', tol=0.04)
+def test_polar_box():
+    fig = plt.figure(figsize=(5, 5))
+
+    # PolarAxes.PolarTransform takes radian. However, we want our coordinate
+    # system in degree
+    tr = (Affine2D().scale(np.pi / 180., 1.) +
+          PolarAxes.PolarTransform(apply_theta_transforms=False))
+
+    # polar projection, which involves cycle, and also has limits in
+    # its coordinates, needs a special method to find the extremes
+    # (min, max of the coordinate within the view).
+    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
+                                                     lon_cycle=360,
+                                                     lat_cycle=None,
+                                                     lon_minmax=None,
+                                                     lat_minmax=(0, np.inf))
+
+    grid_helper = GridHelperCurveLinear(
+        tr,
+        extreme_finder=extreme_finder,
+        grid_locator1=angle_helper.LocatorDMS(12),
+        tick_formatter1=angle_helper.FormatterDMS(),
+        tick_formatter2=FuncFormatter(lambda x, p: "eight" if x == 8 else f"{int(x)}"),
+    )
+
+    ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)
+
+    ax1.axis["right"].major_ticklabels.set_visible(True)
+    ax1.axis["top"].major_ticklabels.set_visible(True)
+
+    # let right axis shows ticklabels for 1st coordinate (angle)
+    ax1.axis["right"].get_helper().nth_coord_ticks = 0
+    # let bottom axis shows ticklabels for 2nd coordinate (radius)
+    ax1.axis["bottom"].get_helper().nth_coord_ticks = 1
+
+    fig.add_subplot(ax1)
+
+    ax1.axis["lat"] = axis = grid_helper.new_floating_axis(0, 45, axes=ax1)
+    axis.label.set_text("Test")
+    axis.label.set_visible(True)
+    axis.get_helper().set_extremes(2, 12)
+
+    ax1.axis["lon"] = axis = grid_helper.new_floating_axis(1, 6, axes=ax1)
+    axis.label.set_text("Test 2")
+    axis.get_helper().set_extremes(-180, 90)
+
+    # A parasite axes with given transform
+    ax2 = ax1.get_aux_axes(tr, viewlim_mode="equal")
+    assert ax2.transData == tr + ax1.transData
+    # Anything you draw in ax2 will match the ticks and grids of ax1.
+    ax2.plot(np.linspace(0, 30, 50), np.linspace(10, 10, 50))
+
+    ax1.set_aspect(1.)
+    ax1.set_xlim(-5, 12)
+    ax1.set_ylim(-5, 10)
+
+    ax1.grid(True)
+
+
+# Remove tol & kerning_factor when this test image is regenerated.
+@image_comparison(['axis_direction.png'], style='default', tol=0.13)
+def test_axis_direction():
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig = plt.figure(figsize=(5, 5))
+
+    # PolarAxes.PolarTransform takes radian. However, we want our coordinate
+    # system in degree
+    tr = (Affine2D().scale(np.pi / 180., 1.) +
+          PolarAxes.PolarTransform(apply_theta_transforms=False))
+
+    # polar projection, which involves cycle, and also has limits in
+    # its coordinates, needs a special method to find the extremes
+    # (min, max of the coordinate within the view).
+
+    # 20, 20 : number of sampling points along x, y direction
+    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
+                                                     lon_cycle=360,
+                                                     lat_cycle=None,
+                                                     lon_minmax=None,
+                                                     lat_minmax=(0, np.inf),
+                                                     )
+
+    grid_locator1 = angle_helper.LocatorDMS(12)
+    tick_formatter1 = angle_helper.FormatterDMS()
+
+    grid_helper = GridHelperCurveLinear(tr,
+                                        extreme_finder=extreme_finder,
+                                        grid_locator1=grid_locator1,
+                                        tick_formatter1=tick_formatter1)
+
+    ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)
+
+    for axis in ax1.axis.values():
+        axis.set_visible(False)
+
+    fig.add_subplot(ax1)
+
+    ax1.axis["lat1"] = axis = grid_helper.new_floating_axis(
+        0, 130,
+        axes=ax1, axis_direction="left")
+    axis.label.set_text("Test")
+    axis.label.set_visible(True)
+    axis.get_helper().set_extremes(0.001, 10)
+
+    ax1.axis["lat2"] = axis = grid_helper.new_floating_axis(
+        0, 50,
+        axes=ax1, axis_direction="right")
+    axis.label.set_text("Test")
+    axis.label.set_visible(True)
+    axis.get_helper().set_extremes(0.001, 10)
+
+    ax1.axis["lon"] = axis = grid_helper.new_floating_axis(
+        1, 10,
+        axes=ax1, axis_direction="bottom")
+    axis.label.set_text("Test 2")
+    axis.get_helper().set_extremes(50, 130)
+    axis.major_ticklabels.set_axis_direction("top")
+    axis.label.set_axis_direction("top")
+
+    grid_helper.grid_finder.grid_locator1.set_params(nbins=5)
+    grid_helper.grid_finder.grid_locator2.set_params(nbins=5)
+
+    ax1.set_aspect(1.)
+    ax1.set_xlim(-8, 8)
+    ax1.set_ylim(-4, 12)
+
+    ax1.grid(True)

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/mplot3d/__init__.py

@@ -0,0 +1,3 @@
+from .axes3d import Axes3D
+
+__all__ = ['Axes3D']

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/mplot3d/art3d.py

@@ -0,0 +1,1262 @@
+# art3d.py, original mplot3d version by John Porter
+# Parts rewritten by Reinier Heeres <reinier@heeres.eu>
+# Minor additions by Ben Axelrod <baxelrod@coroware.com>
+
+"""
+Module containing 3D artist code and functions to convert 2D
+artists into 3D versions which can be added to an Axes3D.
+"""
+
+import math
+
+import numpy as np
+
+from contextlib import contextmanager
+
+from matplotlib import (
+    artist, cbook, colors as mcolors, lines, text as mtext,
+    path as mpath)
+from matplotlib.collections import (
+    Collection, LineCollection, PolyCollection, PatchCollection, PathCollection)
+from matplotlib.colors import Normalize
+from matplotlib.patches import Patch
+from . import proj3d
+
+
+def _norm_angle(a):
+    """Return the given angle normalized to -180 < *a* <= 180 degrees."""
+    a = (a + 360) % 360
+    if a > 180:
+        a = a - 360
+    return a
+
+
+def _norm_text_angle(a):
+    """Return the given angle normalized to -90 < *a* <= 90 degrees."""
+    a = (a + 180) % 180
+    if a > 90:
+        a = a - 180
+    return a
+
+
+def get_dir_vector(zdir):
+    """
+    Return a direction vector.
+
+    Parameters
+    ----------
+    zdir : {'x', 'y', 'z', None, 3-tuple}
+        The direction. Possible values are:
+
+        - 'x': equivalent to (1, 0, 0)
+        - 'y': equivalent to (0, 1, 0)
+        - 'z': equivalent to (0, 0, 1)
+        - *None*: equivalent to (0, 0, 0)
+        - an iterable (x, y, z) is converted to an array
+
+    Returns
+    -------
+    x, y, z : array
+        The direction vector.
+    """
+    if zdir == 'x':
+        return np.array((1, 0, 0))
+    elif zdir == 'y':
+        return np.array((0, 1, 0))
+    elif zdir == 'z':
+        return np.array((0, 0, 1))
+    elif zdir is None:
+        return np.array((0, 0, 0))
+    elif np.iterable(zdir) and len(zdir) == 3:
+        return np.array(zdir)
+    else:
+        raise ValueError("'x', 'y', 'z', None or vector of length 3 expected")
+
+
+class Text3D(mtext.Text):
+    """
+    Text object with 3D position and direction.
+
+    Parameters
+    ----------
+    x, y, z : float
+        The position of the text.
+    text : str
+        The text string to display.
+    zdir : {'x', 'y', 'z', None, 3-tuple}
+        The direction of the text. See `.get_dir_vector` for a description of
+        the values.
+
+    Other Parameters
+    ----------------
+    **kwargs
+         All other parameters are passed on to `~matplotlib.text.Text`.
+    """
+
+    def __init__(self, x=0, y=0, z=0, text='', zdir='z', **kwargs):
+        mtext.Text.__init__(self, x, y, text, **kwargs)
+        self.set_3d_properties(z, zdir)
+
+    def get_position_3d(self):
+        """Return the (x, y, z) position of the text."""
+        return self._x, self._y, self._z
+
+    def set_position_3d(self, xyz, zdir=None):
+        """
+        Set the (*x*, *y*, *z*) position of the text.
+
+        Parameters
+        ----------
+        xyz : (float, float, float)
+            The position in 3D space.
+        zdir : {'x', 'y', 'z', None, 3-tuple}
+            The direction of the text. If unspecified, the *zdir* will not be
+            changed. See `.get_dir_vector` for a description of the values.
+        """
+        super().set_position(xyz[:2])
+        self.set_z(xyz[2])
+        if zdir is not None:
+            self._dir_vec = get_dir_vector(zdir)
+
+    def set_z(self, z):
+        """
+        Set the *z* position of the text.
+
+        Parameters
+        ----------
+        z : float
+        """
+        self._z = z
+        self.stale = True
+
+    def set_3d_properties(self, z=0, zdir='z'):
+        """
+        Set the *z* position and direction of the text.
+
+        Parameters
+        ----------
+        z : float
+            The z-position in 3D space.
+        zdir : {'x', 'y', 'z', 3-tuple}
+            The direction of the text. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        """
+        self._z = z
+        self._dir_vec = get_dir_vector(zdir)
+        self.stale = True
+
+    @artist.allow_rasterization
+    def draw(self, renderer):
+        position3d = np.array((self._x, self._y, self._z))
+        proj = proj3d._proj_trans_points(
+            [position3d, position3d + self._dir_vec], self.axes.M)
+        dx = proj[0][1] - proj[0][0]
+        dy = proj[1][1] - proj[1][0]
+        angle = math.degrees(math.atan2(dy, dx))
+        with cbook._setattr_cm(self, _x=proj[0][0], _y=proj[1][0],
+                               _rotation=_norm_text_angle(angle)):
+            mtext.Text.draw(self, renderer)
+        self.stale = False
+
+    def get_tightbbox(self, renderer=None):
+        # Overwriting the 2d Text behavior which is not valid for 3d.
+        # For now, just return None to exclude from layout calculation.
+        return None
+
+
+def text_2d_to_3d(obj, z=0, zdir='z'):
+    """
+    Convert a `.Text` to a `.Text3D` object.
+
+    Parameters
+    ----------
+    z : float
+        The z-position in 3D space.
+    zdir : {'x', 'y', 'z', 3-tuple}
+        The direction of the text. Default: 'z'.
+        See `.get_dir_vector` for a description of the values.
+    """
+    obj.__class__ = Text3D
+    obj.set_3d_properties(z, zdir)
+
+
+class Line3D(lines.Line2D):
+    """
+    3D line object.
+
+    .. note:: Use `get_data_3d` to obtain the data associated with the line.
+            `~.Line2D.get_data`, `~.Line2D.get_xdata`, and `~.Line2D.get_ydata` return
+            the x- and y-coordinates of the projected 2D-line, not the x- and y-data of
+            the 3D-line. Similarly, use `set_data_3d` to set the data, not
+            `~.Line2D.set_data`, `~.Line2D.set_xdata`, and `~.Line2D.set_ydata`.
+    """
+
+    def __init__(self, xs, ys, zs, *args, **kwargs):
+        """
+
+        Parameters
+        ----------
+        xs : array-like
+            The x-data to be plotted.
+        ys : array-like
+            The y-data to be plotted.
+        zs : array-like
+            The z-data to be plotted.
+        *args, **kwargs
+            Additional arguments are passed to `~matplotlib.lines.Line2D`.
+        """
+        super().__init__([], [], *args, **kwargs)
+        self.set_data_3d(xs, ys, zs)
+
+    def set_3d_properties(self, zs=0, zdir='z'):
+        """
+        Set the *z* position and direction of the line.
+
+        Parameters
+        ----------
+        zs : float or array of floats
+            The location along the *zdir* axis in 3D space to position the
+            line.
+        zdir : {'x', 'y', 'z'}
+            Plane to plot line orthogonal to. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        """
+        xs = self.get_xdata()
+        ys = self.get_ydata()
+        zs = cbook._to_unmasked_float_array(zs).ravel()
+        zs = np.broadcast_to(zs, len(xs))
+        self._verts3d = juggle_axes(xs, ys, zs, zdir)
+        self.stale = True
+
+    def set_data_3d(self, *args):
+        """
+        Set the x, y and z data
+
+        Parameters
+        ----------
+        x : array-like
+            The x-data to be plotted.
+        y : array-like
+            The y-data to be plotted.
+        z : array-like
+            The z-data to be plotted.
+
+        Notes
+        -----
+        Accepts x, y, z arguments or a single array-like (x, y, z)
+        """
+        if len(args) == 1:
+            args = args[0]
+        for name, xyz in zip('xyz', args):
+            if not np.iterable(xyz):
+                raise RuntimeError(f'{name} must be a sequence')
+        self._verts3d = args
+        self.stale = True
+
+    def get_data_3d(self):
+        """
+        Get the current data
+
+        Returns
+        -------
+        verts3d : length-3 tuple or array-like
+            The current data as a tuple or array-like.
+        """
+        return self._verts3d
+
+    @artist.allow_rasterization
+    def draw(self, renderer):
+        xs3d, ys3d, zs3d = self._verts3d
+        xs, ys, zs = proj3d.proj_transform(xs3d, ys3d, zs3d, self.axes.M)
+        self.set_data(xs, ys)
+        super().draw(renderer)
+        self.stale = False
+
+
+def line_2d_to_3d(line, zs=0, zdir='z'):
+    """
+    Convert a `.Line2D` to a `.Line3D` object.
+
+    Parameters
+    ----------
+    zs : float
+        The location along the *zdir* axis in 3D space to position the line.
+    zdir : {'x', 'y', 'z'}
+        Plane to plot line orthogonal to. Default: 'z'.
+        See `.get_dir_vector` for a description of the values.
+    """
+
+    line.__class__ = Line3D
+    line.set_3d_properties(zs, zdir)
+
+
+def _path_to_3d_segment(path, zs=0, zdir='z'):
+    """Convert a path to a 3D segment."""
+
+    zs = np.broadcast_to(zs, len(path))
+    pathsegs = path.iter_segments(simplify=False, curves=False)
+    seg = [(x, y, z) for (((x, y), code), z) in zip(pathsegs, zs)]
+    seg3d = [juggle_axes(x, y, z, zdir) for (x, y, z) in seg]
+    return seg3d
+
+
+def _paths_to_3d_segments(paths, zs=0, zdir='z'):
+    """Convert paths from a collection object to 3D segments."""
+
+    if not np.iterable(zs):
+        zs = np.broadcast_to(zs, len(paths))
+    else:
+        if len(zs) != len(paths):
+            raise ValueError('Number of z-coordinates does not match paths.')
+
+    segs = [_path_to_3d_segment(path, pathz, zdir)
+            for path, pathz in zip(paths, zs)]
+    return segs
+
+
+def _path_to_3d_segment_with_codes(path, zs=0, zdir='z'):
+    """Convert a path to a 3D segment with path codes."""
+
+    zs = np.broadcast_to(zs, len(path))
+    pathsegs = path.iter_segments(simplify=False, curves=False)
+    seg_codes = [((x, y, z), code) for ((x, y), code), z in zip(pathsegs, zs)]
+    if seg_codes:
+        seg, codes = zip(*seg_codes)
+        seg3d = [juggle_axes(x, y, z, zdir) for (x, y, z) in seg]
+    else:
+        seg3d = []
+        codes = []
+    return seg3d, list(codes)
+
+
+def _paths_to_3d_segments_with_codes(paths, zs=0, zdir='z'):
+    """
+    Convert paths from a collection object to 3D segments with path codes.
+    """
+
+    zs = np.broadcast_to(zs, len(paths))
+    segments_codes = [_path_to_3d_segment_with_codes(path, pathz, zdir)
+                      for path, pathz in zip(paths, zs)]
+    if segments_codes:
+        segments, codes = zip(*segments_codes)
+    else:
+        segments, codes = [], []
+    return list(segments), list(codes)
+
+
+class Collection3D(Collection):
+    """A collection of 3D paths."""
+
+    def do_3d_projection(self):
+        """Project the points according to renderer matrix."""
+        xyzs_list = [proj3d.proj_transform(*vs.T, self.axes.M)
+                     for vs, _ in self._3dverts_codes]
+        self._paths = [mpath.Path(np.column_stack([xs, ys]), cs)
+                       for (xs, ys, _), (_, cs) in zip(xyzs_list, self._3dverts_codes)]
+        zs = np.concatenate([zs for _, _, zs in xyzs_list])
+        return zs.min() if len(zs) else 1e9
+
+
+def collection_2d_to_3d(col, zs=0, zdir='z'):
+    """Convert a `.Collection` to a `.Collection3D` object."""
+    zs = np.broadcast_to(zs, len(col.get_paths()))
+    col._3dverts_codes = [
+        (np.column_stack(juggle_axes(
+            *np.column_stack([p.vertices, np.broadcast_to(z, len(p.vertices))]).T,
+            zdir)),
+         p.codes)
+        for p, z in zip(col.get_paths(), zs)]
+    col.__class__ = cbook._make_class_factory(Collection3D, "{}3D")(type(col))
+
+
+class Line3DCollection(LineCollection):
+    """
+    A collection of 3D lines.
+    """
+
+    def set_sort_zpos(self, val):
+        """Set the position to use for z-sorting."""
+        self._sort_zpos = val
+        self.stale = True
+
+    def set_segments(self, segments):
+        """
+        Set 3D segments.
+        """
+        self._segments3d = segments
+        super().set_segments([])
+
+    def do_3d_projection(self):
+        """
+        Project the points according to renderer matrix.
+        """
+        xyslist = [proj3d._proj_trans_points(points, self.axes.M)
+                   for points in self._segments3d]
+        segments_2d = [np.column_stack([xs, ys]) for xs, ys, zs in xyslist]
+        LineCollection.set_segments(self, segments_2d)
+
+        # FIXME
+        minz = 1e9
+        for xs, ys, zs in xyslist:
+            minz = min(minz, min(zs))
+        return minz
+
+
+def line_collection_2d_to_3d(col, zs=0, zdir='z'):
+    """Convert a `.LineCollection` to a `.Line3DCollection` object."""
+    segments3d = _paths_to_3d_segments(col.get_paths(), zs, zdir)
+    col.__class__ = Line3DCollection
+    col.set_segments(segments3d)
+
+
+class Patch3D(Patch):
+    """
+    3D patch object.
+    """
+
+    def __init__(self, *args, zs=(), zdir='z', **kwargs):
+        """
+        Parameters
+        ----------
+        verts :
+        zs : float
+            The location along the *zdir* axis in 3D space to position the
+            patch.
+        zdir : {'x', 'y', 'z'}
+            Plane to plot patch orthogonal to. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        """
+        super().__init__(*args, **kwargs)
+        self.set_3d_properties(zs, zdir)
+
+    def set_3d_properties(self, verts, zs=0, zdir='z'):
+        """
+        Set the *z* position and direction of the patch.
+
+        Parameters
+        ----------
+        verts :
+        zs : float
+            The location along the *zdir* axis in 3D space to position the
+            patch.
+        zdir : {'x', 'y', 'z'}
+            Plane to plot patch orthogonal to. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        """
+        zs = np.broadcast_to(zs, len(verts))
+        self._segment3d = [juggle_axes(x, y, z, zdir)
+                           for ((x, y), z) in zip(verts, zs)]
+
+    def get_path(self):
+        # docstring inherited
+        # self._path2d is not initialized until do_3d_projection
+        if not hasattr(self, '_path2d'):
+            self.axes.M = self.axes.get_proj()
+            self.do_3d_projection()
+        return self._path2d
+
+    def do_3d_projection(self):
+        s = self._segment3d
+        xs, ys, zs = zip(*s)
+        vxs, vys, vzs, vis = proj3d.proj_transform_clip(xs, ys, zs,
+                                                        self.axes.M)
+        self._path2d = mpath.Path(np.column_stack([vxs, vys]))
+        return min(vzs)
+
+
+class PathPatch3D(Patch3D):
+    """
+    3D PathPatch object.
+    """
+
+    def __init__(self, path, *, zs=(), zdir='z', **kwargs):
+        """
+        Parameters
+        ----------
+        path :
+        zs : float
+            The location along the *zdir* axis in 3D space to position the
+            path patch.
+        zdir : {'x', 'y', 'z', 3-tuple}
+            Plane to plot path patch orthogonal to. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        """
+        # Not super().__init__!
+        Patch.__init__(self, **kwargs)
+        self.set_3d_properties(path, zs, zdir)
+
+    def set_3d_properties(self, path, zs=0, zdir='z'):
+        """
+        Set the *z* position and direction of the path patch.
+
+        Parameters
+        ----------
+        path :
+        zs : float
+            The location along the *zdir* axis in 3D space to position the
+            path patch.
+        zdir : {'x', 'y', 'z', 3-tuple}
+            Plane to plot path patch orthogonal to. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        """
+        Patch3D.set_3d_properties(self, path.vertices, zs=zs, zdir=zdir)
+        self._code3d = path.codes
+
+    def do_3d_projection(self):
+        s = self._segment3d
+        xs, ys, zs = zip(*s)
+        vxs, vys, vzs, vis = proj3d.proj_transform_clip(xs, ys, zs,
+                                                        self.axes.M)
+        self._path2d = mpath.Path(np.column_stack([vxs, vys]), self._code3d)
+        return min(vzs)
+
+
+def _get_patch_verts(patch):
+    """Return a list of vertices for the path of a patch."""
+    trans = patch.get_patch_transform()
+    path = patch.get_path()
+    polygons = path.to_polygons(trans)
+    return polygons[0] if len(polygons) else np.array([])
+
+
+def patch_2d_to_3d(patch, z=0, zdir='z'):
+    """Convert a `.Patch` to a `.Patch3D` object."""
+    verts = _get_patch_verts(patch)
+    patch.__class__ = Patch3D
+    patch.set_3d_properties(verts, z, zdir)
+
+
+def pathpatch_2d_to_3d(pathpatch, z=0, zdir='z'):
+    """Convert a `.PathPatch` to a `.PathPatch3D` object."""
+    path = pathpatch.get_path()
+    trans = pathpatch.get_patch_transform()
+
+    mpath = trans.transform_path(path)
+    pathpatch.__class__ = PathPatch3D
+    pathpatch.set_3d_properties(mpath, z, zdir)
+
+
+class Patch3DCollection(PatchCollection):
+    """
+    A collection of 3D patches.
+    """
+
+    def __init__(self, *args, zs=0, zdir='z', depthshade=True, **kwargs):
+        """
+        Create a collection of flat 3D patches with its normal vector
+        pointed in *zdir* direction, and located at *zs* on the *zdir*
+        axis. 'zs' can be a scalar or an array-like of the same length as
+        the number of patches in the collection.
+
+        Constructor arguments are the same as for
+        :class:`~matplotlib.collections.PatchCollection`. In addition,
+        keywords *zs=0* and *zdir='z'* are available.
+
+        Also, the keyword argument *depthshade* is available to indicate
+        whether to shade the patches in order to give the appearance of depth
+        (default is *True*). This is typically desired in scatter plots.
+        """
+        self._depthshade = depthshade
+        super().__init__(*args, **kwargs)
+        self.set_3d_properties(zs, zdir)
+
+    def get_depthshade(self):
+        return self._depthshade
+
+    def set_depthshade(self, depthshade):
+        """
+        Set whether depth shading is performed on collection members.
+
+        Parameters
+        ----------
+        depthshade : bool
+            Whether to shade the patches in order to give the appearance of
+            depth.
+        """
+        self._depthshade = depthshade
+        self.stale = True
+
+    def set_sort_zpos(self, val):
+        """Set the position to use for z-sorting."""
+        self._sort_zpos = val
+        self.stale = True
+
+    def set_3d_properties(self, zs, zdir):
+        """
+        Set the *z* positions and direction of the patches.
+
+        Parameters
+        ----------
+        zs : float or array of floats
+            The location or locations to place the patches in the collection
+            along the *zdir* axis.
+        zdir : {'x', 'y', 'z'}
+            Plane to plot patches orthogonal to.
+            All patches must have the same direction.
+            See `.get_dir_vector` for a description of the values.
+        """
+        # Force the collection to initialize the face and edgecolors
+        # just in case it is a scalarmappable with a colormap.
+        self.update_scalarmappable()
+        offsets = self.get_offsets()
+        if len(offsets) > 0:
+            xs, ys = offsets.T
+        else:
+            xs = []
+            ys = []
+        self._offsets3d = juggle_axes(xs, ys, np.atleast_1d(zs), zdir)
+        self._z_markers_idx = slice(-1)
+        self._vzs = None
+        self.stale = True
+
+    def do_3d_projection(self):
+        xs, ys, zs = self._offsets3d
+        vxs, vys, vzs, vis = proj3d.proj_transform_clip(xs, ys, zs,
+                                                        self.axes.M)
+        self._vzs = vzs
+        super().set_offsets(np.column_stack([vxs, vys]))
+
+        if vzs.size > 0:
+            return min(vzs)
+        else:
+            return np.nan
+
+    def _maybe_depth_shade_and_sort_colors(self, color_array):
+        color_array = (
+            _zalpha(color_array, self._vzs)
+            if self._vzs is not None and self._depthshade
+            else color_array
+        )
+        if len(color_array) > 1:
+            color_array = color_array[self._z_markers_idx]
+        return mcolors.to_rgba_array(color_array, self._alpha)
+
+    def get_facecolor(self):
+        return self._maybe_depth_shade_and_sort_colors(super().get_facecolor())
+
+    def get_edgecolor(self):
+        # We need this check here to make sure we do not double-apply the depth
+        # based alpha shading when the edge color is "face" which means the
+        # edge colour should be identical to the face colour.
+        if cbook._str_equal(self._edgecolors, 'face'):
+            return self.get_facecolor()
+        return self._maybe_depth_shade_and_sort_colors(super().get_edgecolor())
+
+
+class Path3DCollection(PathCollection):
+    """
+    A collection of 3D paths.
+    """
+
+    def __init__(self, *args, zs=0, zdir='z', depthshade=True, **kwargs):
+        """
+        Create a collection of flat 3D paths with its normal vector
+        pointed in *zdir* direction, and located at *zs* on the *zdir*
+        axis. 'zs' can be a scalar or an array-like of the same length as
+        the number of paths in the collection.
+
+        Constructor arguments are the same as for
+        :class:`~matplotlib.collections.PathCollection`. In addition,
+        keywords *zs=0* and *zdir='z'* are available.
+
+        Also, the keyword argument *depthshade* is available to indicate
+        whether to shade the patches in order to give the appearance of depth
+        (default is *True*). This is typically desired in scatter plots.
+        """
+        self._depthshade = depthshade
+        self._in_draw = False
+        super().__init__(*args, **kwargs)
+        self.set_3d_properties(zs, zdir)
+        self._offset_zordered = None
+
+    def draw(self, renderer):
+        with self._use_zordered_offset():
+            with cbook._setattr_cm(self, _in_draw=True):
+                super().draw(renderer)
+
+    def set_sort_zpos(self, val):
+        """Set the position to use for z-sorting."""
+        self._sort_zpos = val
+        self.stale = True
+
+    def set_3d_properties(self, zs, zdir):
+        """
+        Set the *z* positions and direction of the paths.
+
+        Parameters
+        ----------
+        zs : float or array of floats
+            The location or locations to place the paths in the collection
+            along the *zdir* axis.
+        zdir : {'x', 'y', 'z'}
+            Plane to plot paths orthogonal to.
+            All paths must have the same direction.
+            See `.get_dir_vector` for a description of the values.
+        """
+        # Force the collection to initialize the face and edgecolors
+        # just in case it is a scalarmappable with a colormap.
+        self.update_scalarmappable()
+        offsets = self.get_offsets()
+        if len(offsets) > 0:
+            xs, ys = offsets.T
+        else:
+            xs = []
+            ys = []
+        self._offsets3d = juggle_axes(xs, ys, np.atleast_1d(zs), zdir)
+        # In the base draw methods we access the attributes directly which
+        # means we cannot resolve the shuffling in the getter methods like
+        # we do for the edge and face colors.
+        #
+        # This means we need to carry around a cache of the unsorted sizes and
+        # widths (postfixed with 3d) and in `do_3d_projection` set the
+        # depth-sorted version of that data into the private state used by the
+        # base collection class in its draw method.
+        #
+        # Grab the current sizes and linewidths to preserve them.
+        self._sizes3d = self._sizes
+        self._linewidths3d = np.array(self._linewidths)
+        xs, ys, zs = self._offsets3d
+
+        # Sort the points based on z coordinates
+        # Performance optimization: Create a sorted index array and reorder
+        # points and point properties according to the index array
+        self._z_markers_idx = slice(-1)
+        self._vzs = None
+        self.stale = True
+
+    def set_sizes(self, sizes, dpi=72.0):
+        super().set_sizes(sizes, dpi)
+        if not self._in_draw:
+            self._sizes3d = sizes
+
+    def set_linewidth(self, lw):
+        super().set_linewidth(lw)
+        if not self._in_draw:
+            self._linewidths3d = np.array(self._linewidths)
+
+    def get_depthshade(self):
+        return self._depthshade
+
+    def set_depthshade(self, depthshade):
+        """
+        Set whether depth shading is performed on collection members.
+
+        Parameters
+        ----------
+        depthshade : bool
+            Whether to shade the patches in order to give the appearance of
+            depth.
+        """
+        self._depthshade = depthshade
+        self.stale = True
+
+    def do_3d_projection(self):
+        xs, ys, zs = self._offsets3d
+        vxs, vys, vzs, vis = proj3d.proj_transform_clip(xs, ys, zs,
+                                                        self.axes.M)
+        # Sort the points based on z coordinates
+        # Performance optimization: Create a sorted index array and reorder
+        # points and point properties according to the index array
+        z_markers_idx = self._z_markers_idx = np.argsort(vzs)[::-1]
+        self._vzs = vzs
+
+        # we have to special case the sizes because of code in collections.py
+        # as the draw method does
+        #      self.set_sizes(self._sizes, self.figure.dpi)
+        # so we cannot rely on doing the sorting on the way out via get_*
+
+        if len(self._sizes3d) > 1:
+            self._sizes = self._sizes3d[z_markers_idx]
+
+        if len(self._linewidths3d) > 1:
+            self._linewidths = self._linewidths3d[z_markers_idx]
+
+        PathCollection.set_offsets(self, np.column_stack((vxs, vys)))
+
+        # Re-order items
+        vzs = vzs[z_markers_idx]
+        vxs = vxs[z_markers_idx]
+        vys = vys[z_markers_idx]
+
+        # Store ordered offset for drawing purpose
+        self._offset_zordered = np.column_stack((vxs, vys))
+
+        return np.min(vzs) if vzs.size else np.nan
+
+    @contextmanager
+    def _use_zordered_offset(self):
+        if self._offset_zordered is None:
+            # Do nothing
+            yield
+        else:
+            # Swap offset with z-ordered offset
+            old_offset = self._offsets
+            super().set_offsets(self._offset_zordered)
+            try:
+                yield
+            finally:
+                self._offsets = old_offset
+
+    def _maybe_depth_shade_and_sort_colors(self, color_array):
+        color_array = (
+            _zalpha(color_array, self._vzs)
+            if self._vzs is not None and self._depthshade
+            else color_array
+        )
+        if len(color_array) > 1:
+            color_array = color_array[self._z_markers_idx]
+        return mcolors.to_rgba_array(color_array, self._alpha)
+
+    def get_facecolor(self):
+        return self._maybe_depth_shade_and_sort_colors(super().get_facecolor())
+
+    def get_edgecolor(self):
+        # We need this check here to make sure we do not double-apply the depth
+        # based alpha shading when the edge color is "face" which means the
+        # edge colour should be identical to the face colour.
+        if cbook._str_equal(self._edgecolors, 'face'):
+            return self.get_facecolor()
+        return self._maybe_depth_shade_and_sort_colors(super().get_edgecolor())
+
+
+def patch_collection_2d_to_3d(col, zs=0, zdir='z', depthshade=True):
+    """
+    Convert a `.PatchCollection` into a `.Patch3DCollection` object
+    (or a `.PathCollection` into a `.Path3DCollection` object).
+
+    Parameters
+    ----------
+    col : `~matplotlib.collections.PatchCollection` or \
+`~matplotlib.collections.PathCollection`
+        The collection to convert.
+    zs : float or array of floats
+        The location or locations to place the patches in the collection along
+        the *zdir* axis. Default: 0.
+    zdir : {'x', 'y', 'z'}
+        The axis in which to place the patches. Default: "z".
+        See `.get_dir_vector` for a description of the values.
+    depthshade : bool, default: True
+        Whether to shade the patches to give a sense of depth.
+
+    """
+    if isinstance(col, PathCollection):
+        col.__class__ = Path3DCollection
+        col._offset_zordered = None
+    elif isinstance(col, PatchCollection):
+        col.__class__ = Patch3DCollection
+    col._depthshade = depthshade
+    col._in_draw = False
+    col.set_3d_properties(zs, zdir)
+
+
+class Poly3DCollection(PolyCollection):
+    """
+    A collection of 3D polygons.
+
+    .. note::
+        **Filling of 3D polygons**
+
+        There is no simple definition of the enclosed surface of a 3D polygon
+        unless the polygon is planar.
+
+        In practice, Matplotlib fills the 2D projection of the polygon. This
+        gives a correct filling appearance only for planar polygons. For all
+        other polygons, you'll find orientations in which the edges of the
+        polygon intersect in the projection. This will lead to an incorrect
+        visualization of the 3D area.
+
+        If you need filled areas, it is recommended to create them via
+        `~mpl_toolkits.mplot3d.axes3d.Axes3D.plot_trisurf`, which creates a
+        triangulation and thus generates consistent surfaces.
+    """
+
+    def __init__(self, verts, *args, zsort='average', shade=False,
+                 lightsource=None, **kwargs):
+        """
+        Parameters
+        ----------
+        verts : list of (N, 3) array-like
+            The sequence of polygons [*verts0*, *verts1*, ...] where each
+            element *verts_i* defines the vertices of polygon *i* as a 2D
+            array-like of shape (N, 3).
+        zsort : {'average', 'min', 'max'}, default: 'average'
+            The calculation method for the z-order.
+            See `~.Poly3DCollection.set_zsort` for details.
+        shade : bool, default: False
+            Whether to shade *facecolors* and *edgecolors*. When activating
+            *shade*, *facecolors* and/or *edgecolors* must be provided.
+
+            .. versionadded:: 3.7
+
+        lightsource : `~matplotlib.colors.LightSource`, optional
+            The lightsource to use when *shade* is True.
+
+            .. versionadded:: 3.7
+
+        *args, **kwargs
+            All other parameters are forwarded to `.PolyCollection`.
+
+        Notes
+        -----
+        Note that this class does a bit of magic with the _facecolors
+        and _edgecolors properties.
+        """
+        if shade:
+            normals = _generate_normals(verts)
+            facecolors = kwargs.get('facecolors', None)
+            if facecolors is not None:
+                kwargs['facecolors'] = _shade_colors(
+                    facecolors, normals, lightsource
+                )
+
+            edgecolors = kwargs.get('edgecolors', None)
+            if edgecolors is not None:
+                kwargs['edgecolors'] = _shade_colors(
+                    edgecolors, normals, lightsource
+                )
+            if facecolors is None and edgecolors is None:
+                raise ValueError(
+                    "You must provide facecolors, edgecolors, or both for "
+                    "shade to work.")
+        super().__init__(verts, *args, **kwargs)
+        if isinstance(verts, np.ndarray):
+            if verts.ndim != 3:
+                raise ValueError('verts must be a list of (N, 3) array-like')
+        else:
+            if any(len(np.shape(vert)) != 2 for vert in verts):
+                raise ValueError('verts must be a list of (N, 3) array-like')
+        self.set_zsort(zsort)
+        self._codes3d = None
+
+    _zsort_functions = {
+        'average': np.average,
+        'min': np.min,
+        'max': np.max,
+    }
+
+    def set_zsort(self, zsort):
+        """
+        Set the calculation method for the z-order.
+
+        Parameters
+        ----------
+        zsort : {'average', 'min', 'max'}
+            The function applied on the z-coordinates of the vertices in the
+            viewer's coordinate system, to determine the z-order.
+        """
+        self._zsortfunc = self._zsort_functions[zsort]
+        self._sort_zpos = None
+        self.stale = True
+
+    def get_vector(self, segments3d):
+        """Optimize points for projection."""
+        if len(segments3d):
+            xs, ys, zs = np.vstack(segments3d).T
+        else:  # vstack can't stack zero arrays.
+            xs, ys, zs = [], [], []
+        ones = np.ones(len(xs))
+        self._vec = np.array([xs, ys, zs, ones])
+
+        indices = [0, *np.cumsum([len(segment) for segment in segments3d])]
+        self._segslices = [*map(slice, indices[:-1], indices[1:])]
+
+    def set_verts(self, verts, closed=True):
+        """
+        Set 3D vertices.
+
+        Parameters
+        ----------
+        verts : list of (N, 3) array-like
+            The sequence of polygons [*verts0*, *verts1*, ...] where each
+            element *verts_i* defines the vertices of polygon *i* as a 2D
+            array-like of shape (N, 3).
+        closed : bool, default: True
+            Whether the polygon should be closed by adding a CLOSEPOLY
+            connection at the end.
+        """
+        self.get_vector(verts)
+        # 2D verts will be updated at draw time
+        super().set_verts([], False)
+        self._closed = closed
+
+    def set_verts_and_codes(self, verts, codes):
+        """Set 3D vertices with path codes."""
+        # set vertices with closed=False to prevent PolyCollection from
+        # setting path codes
+        self.set_verts(verts, closed=False)
+        # and set our own codes instead.
+        self._codes3d = codes
+
+    def set_3d_properties(self):
+        # Force the collection to initialize the face and edgecolors
+        # just in case it is a scalarmappable with a colormap.
+        self.update_scalarmappable()
+        self._sort_zpos = None
+        self.set_zsort('average')
+        self._facecolor3d = PolyCollection.get_facecolor(self)
+        self._edgecolor3d = PolyCollection.get_edgecolor(self)
+        self._alpha3d = PolyCollection.get_alpha(self)
+        self.stale = True
+
+    def set_sort_zpos(self, val):
+        """Set the position to use for z-sorting."""
+        self._sort_zpos = val
+        self.stale = True
+
+    def do_3d_projection(self):
+        """
+        Perform the 3D projection for this object.
+        """
+        if self._A is not None:
+            # force update of color mapping because we re-order them
+            # below.  If we do not do this here, the 2D draw will call
+            # this, but we will never port the color mapped values back
+            # to the 3D versions.
+            #
+            # We hold the 3D versions in a fixed order (the order the user
+            # passed in) and sort the 2D version by view depth.
+            self.update_scalarmappable()
+            if self._face_is_mapped:
+                self._facecolor3d = self._facecolors
+            if self._edge_is_mapped:
+                self._edgecolor3d = self._edgecolors
+        txs, tys, tzs = proj3d._proj_transform_vec(self._vec, self.axes.M)
+        xyzlist = [(txs[sl], tys[sl], tzs[sl]) for sl in self._segslices]
+
+        # This extra fuss is to re-order face / edge colors
+        cface = self._facecolor3d
+        cedge = self._edgecolor3d
+        if len(cface) != len(xyzlist):
+            cface = cface.repeat(len(xyzlist), axis=0)
+        if len(cedge) != len(xyzlist):
+            if len(cedge) == 0:
+                cedge = cface
+            else:
+                cedge = cedge.repeat(len(xyzlist), axis=0)
+
+        if xyzlist:
+            # sort by depth (furthest drawn first)
+            z_segments_2d = sorted(
+                ((self._zsortfunc(zs), np.column_stack([xs, ys]), fc, ec, idx)
+                 for idx, ((xs, ys, zs), fc, ec)
+                 in enumerate(zip(xyzlist, cface, cedge))),
+                key=lambda x: x[0], reverse=True)
+
+            _, segments_2d, self._facecolors2d, self._edgecolors2d, idxs = \
+                zip(*z_segments_2d)
+        else:
+            segments_2d = []
+            self._facecolors2d = np.empty((0, 4))
+            self._edgecolors2d = np.empty((0, 4))
+            idxs = []
+
+        if self._codes3d is not None:
+            codes = [self._codes3d[idx] for idx in idxs]
+            PolyCollection.set_verts_and_codes(self, segments_2d, codes)
+        else:
+            PolyCollection.set_verts(self, segments_2d, self._closed)
+
+        if len(self._edgecolor3d) != len(cface):
+            self._edgecolors2d = self._edgecolor3d
+
+        # Return zorder value
+        if self._sort_zpos is not None:
+            zvec = np.array([[0], [0], [self._sort_zpos], [1]])
+            ztrans = proj3d._proj_transform_vec(zvec, self.axes.M)
+            return ztrans[2][0]
+        elif tzs.size > 0:
+            # FIXME: Some results still don't look quite right.
+            #        In particular, examine contourf3d_demo2.py
+            #        with az = -54 and elev = -45.
+            return np.min(tzs)
+        else:
+            return np.nan
+
+    def set_facecolor(self, colors):
+        # docstring inherited
+        super().set_facecolor(colors)
+        self._facecolor3d = PolyCollection.get_facecolor(self)
+
+    def set_edgecolor(self, colors):
+        # docstring inherited
+        super().set_edgecolor(colors)
+        self._edgecolor3d = PolyCollection.get_edgecolor(self)
+
+    def set_alpha(self, alpha):
+        # docstring inherited
+        artist.Artist.set_alpha(self, alpha)
+        try:
+            self._facecolor3d = mcolors.to_rgba_array(
+                self._facecolor3d, self._alpha)
+        except (AttributeError, TypeError, IndexError):
+            pass
+        try:
+            self._edgecolors = mcolors.to_rgba_array(
+                    self._edgecolor3d, self._alpha)
+        except (AttributeError, TypeError, IndexError):
+            pass
+        self.stale = True
+
+    def get_facecolor(self):
+        # docstring inherited
+        # self._facecolors2d is not initialized until do_3d_projection
+        if not hasattr(self, '_facecolors2d'):
+            self.axes.M = self.axes.get_proj()
+            self.do_3d_projection()
+        return np.asarray(self._facecolors2d)
+
+    def get_edgecolor(self):
+        # docstring inherited
+        # self._edgecolors2d is not initialized until do_3d_projection
+        if not hasattr(self, '_edgecolors2d'):
+            self.axes.M = self.axes.get_proj()
+            self.do_3d_projection()
+        return np.asarray(self._edgecolors2d)
+
+
+def poly_collection_2d_to_3d(col, zs=0, zdir='z'):
+    """
+    Convert a `.PolyCollection` into a `.Poly3DCollection` object.
+
+    Parameters
+    ----------
+    col : `~matplotlib.collections.PolyCollection`
+        The collection to convert.
+    zs : float or array of floats
+        The location or locations to place the polygons in the collection along
+        the *zdir* axis. Default: 0.
+    zdir : {'x', 'y', 'z'}
+        The axis in which to place the patches. Default: 'z'.
+        See `.get_dir_vector` for a description of the values.
+    """
+    segments_3d, codes = _paths_to_3d_segments_with_codes(
+            col.get_paths(), zs, zdir)
+    col.__class__ = Poly3DCollection
+    col.set_verts_and_codes(segments_3d, codes)
+    col.set_3d_properties()
+
+
+def juggle_axes(xs, ys, zs, zdir):
+    """
+    Reorder coordinates so that 2D *xs*, *ys* can be plotted in the plane
+    orthogonal to *zdir*. *zdir* is normally 'x', 'y' or 'z'. However, if
+    *zdir* starts with a '-' it is interpreted as a compensation for
+    `rotate_axes`.
+    """
+    if zdir == 'x':
+        return zs, xs, ys
+    elif zdir == 'y':
+        return xs, zs, ys
+    elif zdir[0] == '-':
+        return rotate_axes(xs, ys, zs, zdir)
+    else:
+        return xs, ys, zs
+
+
+def rotate_axes(xs, ys, zs, zdir):
+    """
+    Reorder coordinates so that the axes are rotated with *zdir* along
+    the original z axis. Prepending the axis with a '-' does the
+    inverse transform, so *zdir* can be 'x', '-x', 'y', '-y', 'z' or '-z'.
+    """
+    if zdir in ('x', '-y'):
+        return ys, zs, xs
+    elif zdir in ('-x', 'y'):
+        return zs, xs, ys
+    else:
+        return xs, ys, zs
+
+
+def _zalpha(colors, zs):
+    """Modify the alphas of the color list according to depth."""
+    # FIXME: This only works well if the points for *zs* are well-spaced
+    #        in all three dimensions. Otherwise, at certain orientations,
+    #        the min and max zs are very close together.
+    #        Should really normalize against the viewing depth.
+    if len(colors) == 0 or len(zs) == 0:
+        return np.zeros((0, 4))
+    norm = Normalize(min(zs), max(zs))
+    sats = 1 - norm(zs) * 0.7
+    rgba = np.broadcast_to(mcolors.to_rgba_array(colors), (len(zs), 4))
+    return np.column_stack([rgba[:, :3], rgba[:, 3] * sats])
+
+
+def _generate_normals(polygons):
+    """
+    Compute the normals of a list of polygons, one normal per polygon.
+
+    Normals point towards the viewer for a face with its vertices in
+    counterclockwise order, following the right hand rule.
+
+    Uses three points equally spaced around the polygon. This method assumes
+    that the points are in a plane. Otherwise, more than one shade is required,
+    which is not supported.
+
+    Parameters
+    ----------
+    polygons : list of (M_i, 3) array-like, or (..., M, 3) array-like
+        A sequence of polygons to compute normals for, which can have
+        varying numbers of vertices. If the polygons all have the same
+        number of vertices and array is passed, then the operation will
+        be vectorized.
+
+    Returns
+    -------
+    normals : (..., 3) array
+        A normal vector estimated for the polygon.
+    """
+    if isinstance(polygons, np.ndarray):
+        # optimization: polygons all have the same number of points, so can
+        # vectorize
+        n = polygons.shape[-2]
+        i1, i2, i3 = 0, n//3, 2*n//3
+        v1 = polygons[..., i1, :] - polygons[..., i2, :]
+        v2 = polygons[..., i2, :] - polygons[..., i3, :]
+    else:
+        # The subtraction doesn't vectorize because polygons is jagged.
+        v1 = np.empty((len(polygons), 3))
+        v2 = np.empty((len(polygons), 3))
+        for poly_i, ps in enumerate(polygons):
+            n = len(ps)
+            i1, i2, i3 = 0, n//3, 2*n//3
+            v1[poly_i, :] = ps[i1, :] - ps[i2, :]
+            v2[poly_i, :] = ps[i2, :] - ps[i3, :]
+    return np.cross(v1, v2)
+
+
+def _shade_colors(color, normals, lightsource=None):
+    """
+    Shade *color* using normal vectors given by *normals*,
+    assuming a *lightsource* (using default position if not given).
+    *color* can also be an array of the same length as *normals*.
+    """
+    if lightsource is None:
+        # chosen for backwards-compatibility
+        lightsource = mcolors.LightSource(azdeg=225, altdeg=19.4712)
+
+    with np.errstate(invalid="ignore"):
+        shade = ((normals / np.linalg.norm(normals, axis=1, keepdims=True))
+                 @ lightsource.direction)
+    mask = ~np.isnan(shade)
+
+    if mask.any():
+        # convert dot product to allowed shading fractions
+        in_norm = mcolors.Normalize(-1, 1)
+        out_norm = mcolors.Normalize(0.3, 1).inverse
+
+        def norm(x):
+            return out_norm(in_norm(x))
+
+        shade[~mask] = 0
+
+        color = mcolors.to_rgba_array(color)
+        # shape of color should be (M, 4) (where M is number of faces)
+        # shape of shade should be (M,)
+        # colors should have final shape of (M, 4)
+        alpha = color[:, 3]
+        colors = norm(shade)[:, np.newaxis] * color
+        colors[:, 3] = alpha
+    else:
+        colors = np.asanyarray(color).copy()
+
+    return colors

evalkit_internvl/lib/python3.10/site-packages/mpl_toolkits/mplot3d/axis3d.py

@@ -0,0 +1,760 @@
+# axis3d.py, original mplot3d version by John Porter
+# Created: 23 Sep 2005
+# Parts rewritten by Reinier Heeres <reinier@heeres.eu>
+
+import inspect
+
+import numpy as np
+
+import matplotlib as mpl
+from matplotlib import (
+    _api, artist, lines as mlines, axis as maxis, patches as mpatches,
+    transforms as mtransforms, colors as mcolors)
+from . import art3d, proj3d
+
+
+def _move_from_center(coord, centers, deltas, axmask=(True, True, True)):
+    """
+    For each coordinate where *axmask* is True, move *coord* away from
+    *centers* by *deltas*.
+    """
+    coord = np.asarray(coord)
+    return coord + axmask * np.copysign(1, coord - centers) * deltas
+
+
+def _tick_update_position(tick, tickxs, tickys, labelpos):
+    """Update tick line and label position and style."""
+
+    tick.label1.set_position(labelpos)
+    tick.label2.set_position(labelpos)
+    tick.tick1line.set_visible(True)
+    tick.tick2line.set_visible(False)
+    tick.tick1line.set_linestyle('-')
+    tick.tick1line.set_marker('')
+    tick.tick1line.set_data(tickxs, tickys)
+    tick.gridline.set_data([0], [0])
+
+
+class Axis(maxis.XAxis):
+    """An Axis class for the 3D plots."""
+    # These points from the unit cube make up the x, y and z-planes
+    _PLANES = (
+        (0, 3, 7, 4), (1, 2, 6, 5),  # yz planes
+        (0, 1, 5, 4), (3, 2, 6, 7),  # xz planes
+        (0, 1, 2, 3), (4, 5, 6, 7),  # xy planes
+    )
+
+    # Some properties for the axes
+    _AXINFO = {
+        'x': {'i': 0, 'tickdir': 1, 'juggled': (1, 0, 2)},
+        'y': {'i': 1, 'tickdir': 0, 'juggled': (0, 1, 2)},
+        'z': {'i': 2, 'tickdir': 0, 'juggled': (0, 2, 1)},
+    }
+
+    def _old_init(self, adir, v_intervalx, d_intervalx, axes, *args,
+                  rotate_label=None, **kwargs):
+        return locals()
+
+    def _new_init(self, axes, *, rotate_label=None, **kwargs):
+        return locals()
+
+    def __init__(self, *args, **kwargs):
+        params = _api.select_matching_signature(
+            [self._old_init, self._new_init], *args, **kwargs)
+        if "adir" in params:
+            _api.warn_deprecated(
+                "3.6", message=f"The signature of 3D Axis constructors has "
+                f"changed in %(since)s; the new signature is "
+                f"{inspect.signature(type(self).__init__)}", pending=True)
+            if params["adir"] != self.axis_name:
+                raise ValueError(f"Cannot instantiate {type(self).__name__} "
+                                 f"with adir={params['adir']!r}")
+        axes = params["axes"]
+        rotate_label = params["rotate_label"]
+        args = params.get("args", ())
+        kwargs = params["kwargs"]
+
+        name = self.axis_name
+
+        self._label_position = 'default'
+        self._tick_position = 'default'
+
+        # This is a temporary member variable.
+        # Do not depend on this existing in future releases!
+        self._axinfo = self._AXINFO[name].copy()
+        # Common parts
+        self._axinfo.update({
+            'label': {'va': 'center', 'ha': 'center',
+                      'rotation_mode': 'anchor'},
+            'color': mpl.rcParams[f'axes3d.{name}axis.panecolor'],
+            'tick': {
+                'inward_factor': 0.2,
+                'outward_factor': 0.1,
+            },
+        })
+
+        if mpl.rcParams['_internal.classic_mode']:
+            self._axinfo.update({
+                'axisline': {'linewidth': 0.75, 'color': (0, 0, 0, 1)},
+                'grid': {
+                    'color': (0.9, 0.9, 0.9, 1),
+                    'linewidth': 1.0,
+                    'linestyle': '-',
+                },
+            })
+            self._axinfo['tick'].update({
+                'linewidth': {
+                    True: mpl.rcParams['lines.linewidth'],  # major
+                    False: mpl.rcParams['lines.linewidth'],  # minor
+                }
+            })
+        else:
+            self._axinfo.update({
+                'axisline': {
+                    'linewidth': mpl.rcParams['axes.linewidth'],
+                    'color': mpl.rcParams['axes.edgecolor'],
+                },
+                'grid': {
+                    'color': mpl.rcParams['grid.color'],
+                    'linewidth': mpl.rcParams['grid.linewidth'],
+                    'linestyle': mpl.rcParams['grid.linestyle'],
+                },
+            })
+            self._axinfo['tick'].update({
+                'linewidth': {
+                    True: (  # major
+                        mpl.rcParams['xtick.major.width'] if name in 'xz'
+                        else mpl.rcParams['ytick.major.width']),
+                    False: (  # minor
+                        mpl.rcParams['xtick.minor.width'] if name in 'xz'
+                        else mpl.rcParams['ytick.minor.width']),
+                }
+            })
+
+        super().__init__(axes, *args, **kwargs)
+
+        # data and viewing intervals for this direction
+        if "d_intervalx" in params:
+            self.set_data_interval(*params["d_intervalx"])
+        if "v_intervalx" in params:
+            self.set_view_interval(*params["v_intervalx"])
+        self.set_rotate_label(rotate_label)
+        self._init3d()  # Inline after init3d deprecation elapses.
+
+    __init__.__signature__ = inspect.signature(_new_init)
+    adir = _api.deprecated("3.6", pending=True)(
+        property(lambda self: self.axis_name))
+
+    def _init3d(self):
+        self.line = mlines.Line2D(
+            xdata=(0, 0), ydata=(0, 0),
+            linewidth=self._axinfo['axisline']['linewidth'],
+            color=self._axinfo['axisline']['color'],
+            antialiased=True)
+
+        # Store dummy data in Polygon object
+        self.pane = mpatches.Polygon([[0, 0], [0, 1]], closed=False)
+        self.set_pane_color(self._axinfo['color'])
+
+        self.axes._set_artist_props(self.line)
+        self.axes._set_artist_props(self.pane)
+        self.gridlines = art3d.Line3DCollection([])
+        self.axes._set_artist_props(self.gridlines)
+        self.axes._set_artist_props(self.label)
+        self.axes._set_artist_props(self.offsetText)
+        # Need to be able to place the label at the correct location
+        self.label._transform = self.axes.transData
+        self.offsetText._transform = self.axes.transData
+
+    @_api.deprecated("3.6", pending=True)
+    def init3d(self):  # After deprecation elapses, inline _init3d to __init__.
+        self._init3d()
+
+    def get_major_ticks(self, numticks=None):
+        ticks = super().get_major_ticks(numticks)
+        for t in ticks:
+            for obj in [
+                    t.tick1line, t.tick2line, t.gridline, t.label1, t.label2]:
+                obj.set_transform(self.axes.transData)
+        return ticks
+
+    def get_minor_ticks(self, numticks=None):
+        ticks = super().get_minor_ticks(numticks)
+        for t in ticks:
+            for obj in [
+                    t.tick1line, t.tick2line, t.gridline, t.label1, t.label2]:
+                obj.set_transform(self.axes.transData)
+        return ticks
+
+    def set_ticks_position(self, position):
+        """
+        Set the ticks position.
+
+        Parameters
+        ----------
+        position : {'lower', 'upper', 'both', 'default', 'none'}
+            The position of the bolded axis lines, ticks, and tick labels.
+        """
+        if position in ['top', 'bottom']:
+            _api.warn_deprecated('3.8', name=f'{position=}',
+                                 obj_type='argument value',
+                                 alternative="'upper' or 'lower'")
+            return
+        _api.check_in_list(['lower', 'upper', 'both', 'default', 'none'],
+                           position=position)
+        self._tick_position = position
+
+    def get_ticks_position(self):
+        """
+        Get the ticks position.
+
+        Returns
+        -------
+        str : {'lower', 'upper', 'both', 'default', 'none'}
+            The position of the bolded axis lines, ticks, and tick labels.
+        """
+        return self._tick_position
+
+    def set_label_position(self, position):
+        """
+        Set the label position.
+
+        Parameters
+        ----------
+        position : {'lower', 'upper', 'both', 'default', 'none'}
+            The position of the axis label.
+        """
+        if position in ['top', 'bottom']:
+            _api.warn_deprecated('3.8', name=f'{position=}',
+                                 obj_type='argument value',
+                                 alternative="'upper' or 'lower'")
+            return
+        _api.check_in_list(['lower', 'upper', 'both', 'default', 'none'],
+                           position=position)
+        self._label_position = position
+
+    def get_label_position(self):
+        """
+        Get the label position.
+
+        Returns
+        -------
+        str : {'lower', 'upper', 'both', 'default', 'none'}
+            The position of the axis label.
+        """
+        return self._label_position
+
+    def set_pane_color(self, color, alpha=None):
+        """
+        Set pane color.
+
+        Parameters
+        ----------
+        color : :mpltype:`color`
+            Color for axis pane.
+        alpha : float, optional
+            Alpha value for axis pane. If None, base it on *color*.
+        """
+        color = mcolors.to_rgba(color, alpha)
+        self._axinfo['color'] = color
+        self.pane.set_edgecolor(color)
+        self.pane.set_facecolor(color)
+        self.pane.set_alpha(color[-1])
+        self.stale = True
+
+    def set_rotate_label(self, val):
+        """
+        Whether to rotate the axis label: True, False or None.
+        If set to None the label will be rotated if longer than 4 chars.
+        """
+        self._rotate_label = val
+        self.stale = True
+
+    def get_rotate_label(self, text):
+        if self._rotate_label is not None:
+            return self._rotate_label
+        else:
+            return len(text) > 4
+
+    def _get_coord_info(self):
+        mins, maxs = np.array([
+            self.axes.get_xbound(),
+            self.axes.get_ybound(),
+            self.axes.get_zbound(),
+        ]).T
+
+        # Project the bounds along the current position of the cube:
+        bounds = mins[0], maxs[0], mins[1], maxs[1], mins[2], maxs[2]
+        bounds_proj = self.axes._transformed_cube(bounds)
+
+        # Determine which one of the parallel planes are higher up:
+        means_z0 = np.zeros(3)
+        means_z1 = np.zeros(3)
+        for i in range(3):
+            means_z0[i] = np.mean(bounds_proj[self._PLANES[2 * i], 2])
+            means_z1[i] = np.mean(bounds_proj[self._PLANES[2 * i + 1], 2])
+        highs = means_z0 < means_z1
+
+        # Special handling for edge-on views
+        equals = np.abs(means_z0 - means_z1) <= np.finfo(float).eps
+        if np.sum(equals) == 2:
+            vertical = np.where(~equals)[0][0]
+            if vertical == 2:  # looking at XY plane
+                highs = np.array([True, True, highs[2]])
+            elif vertical == 1:  # looking at XZ plane
+                highs = np.array([True, highs[1], False])
+            elif vertical == 0:  # looking at YZ plane
+                highs = np.array([highs[0], False, False])
+
+        return mins, maxs, bounds_proj, highs
+
+    def _calc_centers_deltas(self, maxs, mins):
+        centers = 0.5 * (maxs + mins)
+        # In mpl3.8, the scale factor was 1/12. mpl3.9 changes this to
+        # 1/12 * 24/25 = 0.08 to compensate for the change in automargin
+        # behavior and keep appearance the same. The 24/25 factor is from the
+        # 1/48 padding added to each side of the axis in mpl3.8.
+        scale = 0.08
+        deltas = (maxs - mins) * scale
+        return centers, deltas
+
+    def _get_axis_line_edge_points(self, minmax, maxmin, position=None):
+        """Get the edge points for the black bolded axis line."""
+        # When changing vertical axis some of the axes has to be
+        # moved to the other plane so it looks the same as if the z-axis
+        # was the vertical axis.
+        mb = [minmax, maxmin]  # line from origin to nearest corner to camera
+        mb_rev = mb[::-1]
+        mm = [[mb, mb_rev, mb_rev], [mb_rev, mb_rev, mb], [mb, mb, mb]]
+        mm = mm[self.axes._vertical_axis][self._axinfo["i"]]
+
+        juggled = self._axinfo["juggled"]
+        edge_point_0 = mm[0].copy()  # origin point
+
+        if ((position == 'lower' and mm[1][juggled[-1]] < mm[0][juggled[-1]]) or
+                (position == 'upper' and mm[1][juggled[-1]] > mm[0][juggled[-1]])):
+            edge_point_0[juggled[-1]] = mm[1][juggled[-1]]
+        else:
+            edge_point_0[juggled[0]] = mm[1][juggled[0]]
+
+        edge_point_1 = edge_point_0.copy()
+        edge_point_1[juggled[1]] = mm[1][juggled[1]]
+
+        return edge_point_0, edge_point_1
+
+    def _get_all_axis_line_edge_points(self, minmax, maxmin, axis_position=None):
+        # Determine edge points for the axis lines
+        edgep1s = []
+        edgep2s = []
+        position = []
+        if axis_position in (None, 'default'):
+            edgep1, edgep2 = self._get_axis_line_edge_points(minmax, maxmin)
+            edgep1s = [edgep1]
+            edgep2s = [edgep2]
+            position = ['default']
+        else:
+            edgep1_l, edgep2_l = self._get_axis_line_edge_points(minmax, maxmin,
+                                                                 position='lower')
+            edgep1_u, edgep2_u = self._get_axis_line_edge_points(minmax, maxmin,
+                                                                 position='upper')
+            if axis_position in ('lower', 'both'):
+                edgep1s.append(edgep1_l)
+                edgep2s.append(edgep2_l)
+                position.append('lower')
+            if axis_position in ('upper', 'both'):
+                edgep1s.append(edgep1_u)
+                edgep2s.append(edgep2_u)
+                position.append('upper')
+        return edgep1s, edgep2s, position
+
+    def _get_tickdir(self, position):
+        """
+        Get the direction of the tick.
+
+        Parameters
+        ----------
+        position : str, optional : {'upper', 'lower', 'default'}
+            The position of the axis.
+
+        Returns
+        -------
+        tickdir : int
+            Index which indicates which coordinate the tick line will
+            align with.
+        """
+        _api.check_in_list(('upper', 'lower', 'default'), position=position)
+
+        # TODO: Move somewhere else where it's triggered less:
+        tickdirs_base = [v["tickdir"] for v in self._AXINFO.values()]  # default
+        elev_mod = np.mod(self.axes.elev + 180, 360) - 180
+        azim_mod = np.mod(self.axes.azim, 360)
+        if position == 'upper':
+            if elev_mod >= 0:
+                tickdirs_base = [2, 2, 0]
+            else:
+                tickdirs_base = [1, 0, 0]
+            if 0 <= azim_mod < 180:
+                tickdirs_base[2] = 1
+        elif position == 'lower':
+            if elev_mod >= 0:
+                tickdirs_base = [1, 0, 1]
+            else:
+                tickdirs_base = [2, 2, 1]
+            if 0 <= azim_mod < 180:
+                tickdirs_base[2] = 0
+        info_i = [v["i"] for v in self._AXINFO.values()]
+
+        i = self._axinfo["i"]
+        vert_ax = self.axes._vertical_axis
+        j = vert_ax - 2
+        # default: tickdir = [[1, 2, 1], [2, 2, 0], [1, 0, 0]][vert_ax][i]
+        tickdir = np.roll(info_i, -j)[np.roll(tickdirs_base, j)][i]
+        return tickdir
+
+    def active_pane(self):
+        mins, maxs, tc, highs = self._get_coord_info()
+        info = self._axinfo
+        index = info['i']
+        if not highs[index]:
+            loc = mins[index]
+            plane = self._PLANES[2 * index]
+        else:
+            loc = maxs[index]
+            plane = self._PLANES[2 * index + 1]
+        xys = np.array([tc[p] for p in plane])
+        return xys, loc
+
+    def draw_pane(self, renderer):
+        """
+        Draw pane.
+
+        Parameters
+        ----------
+        renderer : `~matplotlib.backend_bases.RendererBase` subclass
+        """
+        renderer.open_group('pane3d', gid=self.get_gid())
+        xys, loc = self.active_pane()
+        self.pane.xy = xys[:, :2]
+        self.pane.draw(renderer)
+        renderer.close_group('pane3d')
+
+    def _axmask(self):
+        axmask = [True, True, True]
+        axmask[self._axinfo["i"]] = False
+        return axmask
+
+    def _draw_ticks(self, renderer, edgep1, centers, deltas, highs,
+                    deltas_per_point, pos):
+        ticks = self._update_ticks()
+        info = self._axinfo
+        index = info["i"]
+        juggled = info["juggled"]
+
+        mins, maxs, tc, highs = self._get_coord_info()
+        centers, deltas = self._calc_centers_deltas(maxs, mins)
+
+        # Draw ticks:
+        tickdir = self._get_tickdir(pos)
+        tickdelta = deltas[tickdir] if highs[tickdir] else -deltas[tickdir]
+
+        tick_info = info['tick']
+        tick_out = tick_info['outward_factor'] * tickdelta
+        tick_in = tick_info['inward_factor'] * tickdelta
+        tick_lw = tick_info['linewidth']
+        edgep1_tickdir = edgep1[tickdir]
+        out_tickdir = edgep1_tickdir + tick_out
+        in_tickdir = edgep1_tickdir - tick_in
+
+        default_label_offset = 8.  # A rough estimate
+        points = deltas_per_point * deltas
+        for tick in ticks:
+            # Get tick line positions
+            pos = edgep1.copy()
+            pos[index] = tick.get_loc()
+            pos[tickdir] = out_tickdir
+            x1, y1, z1 = proj3d.proj_transform(*pos, self.axes.M)
+            pos[tickdir] = in_tickdir
+            x2, y2, z2 = proj3d.proj_transform(*pos, self.axes.M)
+
+            # Get position of label
+            labeldeltas = (tick.get_pad() + default_label_offset) * points
+
+            pos[tickdir] = edgep1_tickdir
+            pos = _move_from_center(pos, centers, labeldeltas, self._axmask())
+            lx, ly, lz = proj3d.proj_transform(*pos, self.axes.M)
+
+            _tick_update_position(tick, (x1, x2), (y1, y2), (lx, ly))
+            tick.tick1line.set_linewidth(tick_lw[tick._major])
+            tick.draw(renderer)
+
+    def _draw_offset_text(self, renderer, edgep1, edgep2, labeldeltas, centers,
+                          highs, pep, dx, dy):
+        # Get general axis information:
+        info = self._axinfo
+        index = info["i"]
+        juggled = info["juggled"]
+        tickdir = info["tickdir"]
+
+        # Which of the two edge points do we want to
+        # use for locating the offset text?
+        if juggled[2] == 2:
+            outeredgep = edgep1
+            outerindex = 0
+        else:
+            outeredgep = edgep2
+            outerindex = 1
+
+        pos = _move_from_center(outeredgep, centers, labeldeltas,
+                                self._axmask())
+        olx, oly, olz = proj3d.proj_transform(*pos, self.axes.M)
+        self.offsetText.set_text(self.major.formatter.get_offset())
+        self.offsetText.set_position((olx, oly))
+        angle = art3d._norm_text_angle(np.rad2deg(np.arctan2(dy, dx)))
+        self.offsetText.set_rotation(angle)
+        # Must set rotation mode to "anchor" so that
+        # the alignment point is used as the "fulcrum" for rotation.
+        self.offsetText.set_rotation_mode('anchor')
+
+        # ----------------------------------------------------------------------
+        # Note: the following statement for determining the proper alignment of
+        # the offset text. This was determined entirely by trial-and-error
+        # and should not be in any way considered as "the way".  There are
+        # still some edge cases where alignment is not quite right, but this
+        # seems to be more of a geometry issue (in other words, I might be
+        # using the wrong reference points).
+        #
+        # (TT, FF, TF, FT) are the shorthand for the tuple of
+        #   (centpt[tickdir] <= pep[tickdir, outerindex],
+        #    centpt[index] <= pep[index, outerindex])
+        #
+        # Three-letters (e.g., TFT, FTT) are short-hand for the array of bools
+        # from the variable 'highs'.
+        # ---------------------------------------------------------------------
+        centpt = proj3d.proj_transform(*centers, self.axes.M)
+        if centpt[tickdir] > pep[tickdir, outerindex]:
+            # if FT and if highs has an even number of Trues
+            if (centpt[index] <= pep[index, outerindex]
+                    and np.count_nonzero(highs) % 2 == 0):
+                # Usually, this means align right, except for the FTT case,
+                # in which offset for axis 1 and 2 are aligned left.
+                if highs.tolist() == [False, True, True] and index in (1, 2):
+                    align = 'left'
+                else:
+                    align = 'right'
+            else:
+                # The FF case
+                align = 'left'
+        else:
+            # if TF and if highs has an even number of Trues
+            if (centpt[index] > pep[index, outerindex]
+                    and np.count_nonzero(highs) % 2 == 0):
+                # Usually mean align left, except if it is axis 2
+                align = 'right' if index == 2 else 'left'
+            else:
+                # The TT case
+                align = 'right'
+
+        self.offsetText.set_va('center')
+        self.offsetText.set_ha(align)
+        self.offsetText.draw(renderer)
+
+    def _draw_labels(self, renderer, edgep1, edgep2, labeldeltas, centers, dx, dy):
+        label = self._axinfo["label"]
+
+        # Draw labels
+        lxyz = 0.5 * (edgep1 + edgep2)
+        lxyz = _move_from_center(lxyz, centers, labeldeltas, self._axmask())
+        tlx, tly, tlz = proj3d.proj_transform(*lxyz, self.axes.M)
+        self.label.set_position((tlx, tly))
+        if self.get_rotate_label(self.label.get_text()):
+            angle = art3d._norm_text_angle(np.rad2deg(np.arctan2(dy, dx)))
+            self.label.set_rotation(angle)
+        self.label.set_va(label['va'])
+        self.label.set_ha(label['ha'])
+        self.label.set_rotation_mode(label['rotation_mode'])
+        self.label.draw(renderer)
+
+    @artist.allow_rasterization
+    def draw(self, renderer):
+        self.label._transform = self.axes.transData
+        self.offsetText._transform = self.axes.transData
+        renderer.open_group("axis3d", gid=self.get_gid())
+
+        # Get general axis information:
+        mins, maxs, tc, highs = self._get_coord_info()
+        centers, deltas = self._calc_centers_deltas(maxs, mins)
+
+        # Calculate offset distances
+        # A rough estimate; points are ambiguous since 3D plots rotate
+        reltoinches = self.figure.dpi_scale_trans.inverted()
+        ax_inches = reltoinches.transform(self.axes.bbox.size)
+        ax_points_estimate = sum(72. * ax_inches)
+        deltas_per_point = 48 / ax_points_estimate
+        default_offset = 21.
+        labeldeltas = (self.labelpad + default_offset) * deltas_per_point * deltas
+
+        # Determine edge points for the axis lines
+        minmax = np.where(highs, maxs, mins)  # "origin" point
+        maxmin = np.where(~highs, maxs, mins)  # "opposite" corner near camera
+
+        for edgep1, edgep2, pos in zip(*self._get_all_axis_line_edge_points(
+                                           minmax, maxmin, self._tick_position)):
+            # Project the edge points along the current position
+            pep = proj3d._proj_trans_points([edgep1, edgep2], self.axes.M)
+            pep = np.asarray(pep)
+
+            # The transAxes transform is used because the Text object
+            # rotates the text relative to the display coordinate system.
+            # Therefore, if we want the labels to remain parallel to the
+            # axis regardless of the aspect ratio, we need to convert the
+            # edge points of the plane to display coordinates and calculate
+            # an angle from that.
+            # TODO: Maybe Text objects should handle this themselves?
+            dx, dy = (self.axes.transAxes.transform([pep[0:2, 1]]) -
+                      self.axes.transAxes.transform([pep[0:2, 0]]))[0]
+
+            # Draw the lines
+            self.line.set_data(pep[0], pep[1])
+            self.line.draw(renderer)
+
+            # Draw ticks
+            self._draw_ticks(renderer, edgep1, centers, deltas, highs,
+                             deltas_per_point, pos)
+
+            # Draw Offset text
+            self._draw_offset_text(renderer, edgep1, edgep2, labeldeltas,
+                                   centers, highs, pep, dx, dy)
+
+        for edgep1, edgep2, pos in zip(*self._get_all_axis_line_edge_points(
+                                           minmax, maxmin, self._label_position)):
+            # See comments above
+            pep = proj3d._proj_trans_points([edgep1, edgep2], self.axes.M)
+            pep = np.asarray(pep)
+            dx, dy = (self.axes.transAxes.transform([pep[0:2, 1]]) -
+                      self.axes.transAxes.transform([pep[0:2, 0]]))[0]
+
+            # Draw labels
+            self._draw_labels(renderer, edgep1, edgep2, labeldeltas, centers, dx, dy)
+
+        renderer.close_group('axis3d')
+        self.stale = False
+
+    @artist.allow_rasterization
+    def draw_grid(self, renderer):
+        if not self.axes._draw_grid:
+            return
+
+        renderer.open_group("grid3d", gid=self.get_gid())
+
+        ticks = self._update_ticks()
+        if len(ticks):
+            # Get general axis information:
+            info = self._axinfo
+            index = info["i"]
+
+            mins, maxs, tc, highs = self._get_coord_info()
+
+            minmax = np.where(highs, maxs, mins)
+            maxmin = np.where(~highs, maxs, mins)
+
+            # Grid points where the planes meet
+            xyz0 = np.tile(minmax, (len(ticks), 1))
+            xyz0[:, index] = [tick.get_loc() for tick in ticks]
+
+            # Grid lines go from the end of one plane through the plane
+            # intersection (at xyz0) to the end of the other plane.  The first
+            # point (0) differs along dimension index-2 and the last (2) along
+            # dimension index-1.
+            lines = np.stack([xyz0, xyz0, xyz0], axis=1)
+            lines[:, 0, index - 2] = maxmin[index - 2]
+            lines[:, 2, index - 1] = maxmin[index - 1]
+            self.gridlines.set_segments(lines)
+            gridinfo = info['grid']
+            self.gridlines.set_color(gridinfo['color'])
+            self.gridlines.set_linewidth(gridinfo['linewidth'])
+            self.gridlines.set_linestyle(gridinfo['linestyle'])
+            self.gridlines.do_3d_projection()
+            self.gridlines.draw(renderer)
+
+        renderer.close_group('grid3d')
+
+    # TODO: Get this to work (more) properly when mplot3d supports the
+    #       transforms framework.
+    def get_tightbbox(self, renderer=None, *, for_layout_only=False):
+        # docstring inherited
+        if not self.get_visible():
+            return
+        # We have to directly access the internal data structures
+        # (and hope they are up to date) because at draw time we
+        # shift the ticks and their labels around in (x, y) space
+        # based on the projection, the current view port, and their
+        # position in 3D space. If we extend the transforms framework
+        # into 3D we would not need to do this different book keeping
+        # than we do in the normal axis
+        major_locs = self.get_majorticklocs()
+        minor_locs = self.get_minorticklocs()
+
+        ticks = [*self.get_minor_ticks(len(minor_locs)),
+                 *self.get_major_ticks(len(major_locs))]
+        view_low, view_high = self.get_view_interval()
+        if view_low > view_high:
+            view_low, view_high = view_high, view_low
+        interval_t = self.get_transform().transform([view_low, view_high])
+
+        ticks_to_draw = []
+        for tick in ticks:
+            try:
+                loc_t = self.get_transform().transform(tick.get_loc())
+            except AssertionError:
+                # Transform.transform doesn't allow masked values but
+                # some scales might make them, so we need this try/except.
+                pass
+            else:
+                if mtransforms._interval_contains_close(interval_t, loc_t):
+                    ticks_to_draw.append(tick)
+
+        ticks = ticks_to_draw
+
+        bb_1, bb_2 = self._get_ticklabel_bboxes(ticks, renderer)
+        other = []
+
+        if self.line.get_visible():
+            other.append(self.line.get_window_extent(renderer))
+        if (self.label.get_visible() and not for_layout_only and
+                self.label.get_text()):
+            other.append(self.label.get_window_extent(renderer))
+
+        return mtransforms.Bbox.union([*bb_1, *bb_2, *other])
+
+    d_interval = _api.deprecated(
+        "3.6", alternative="get_data_interval", pending=True)(
+            property(lambda self: self.get_data_interval(),
+                     lambda self, minmax: self.set_data_interval(*minmax)))
+    v_interval = _api.deprecated(
+        "3.6", alternative="get_view_interval", pending=True)(
+            property(lambda self: self.get_view_interval(),
+                     lambda self, minmax: self.set_view_interval(*minmax)))
+
+
+class XAxis(Axis):
+    axis_name = "x"
+    get_view_interval, set_view_interval = maxis._make_getset_interval(
+        "view", "xy_viewLim", "intervalx")
+    get_data_interval, set_data_interval = maxis._make_getset_interval(
+        "data", "xy_dataLim", "intervalx")
+
+
+class YAxis(Axis):
+    axis_name = "y"
+    get_view_interval, set_view_interval = maxis._make_getset_interval(
+        "view", "xy_viewLim", "intervaly")
+    get_data_interval, set_data_interval = maxis._make_getset_interval(
+        "data", "xy_dataLim", "intervaly")
+
+
+class ZAxis(Axis):
+    axis_name = "z"
+    get_view_interval, set_view_interval = maxis._make_getset_interval(
+        "view", "zz_viewLim", "intervalx")
+    get_data_interval, set_data_interval = maxis._make_getset_interval(
+        "data", "zz_dataLim", "intervalx")