Sources_For_Win/Python/Lib/site-packages/matplotlib/path.py

r"""
A module for dealing with the polylines used throughout Matplotlib.

The primary class for polyline handling in Matplotlib is `Path`.  Almost all
vector drawing makes use of `Path`\s somewhere in the drawing pipeline.

Whilst a `Path` instance itself cannot be drawn, some `.Artist` subclasses,
such as `.PathPatch` and `.PathCollection`, can be used for convenient `Path`
visualisation.
"""

import copy
from functools import lru_cache
from weakref import WeakValueDictionary

import numpy as np

import matplotlib as mpl
from . import _api, _path
from .cbook import _to_unmasked_float_array, simple_linear_interpolation
from .bezier import BezierSegment


class Path:
    """
    A series of possibly disconnected, possibly closed, line and curve
    segments.

    The underlying storage is made up of two parallel numpy arrays:

    - *vertices*: an (N, 2) float array of vertices
    - *codes*: an N-length `numpy.uint8` array of path codes, or None

    These two arrays always have the same length in the first
    dimension.  For example, to represent a cubic curve, you must
    provide three vertices and three `CURVE4` codes.

    The code types are:

    - `STOP`   :  1 vertex (ignored)
        A marker for the end of the entire path (currently not required and
        ignored)

    - `MOVETO` :  1 vertex
        Pick up the pen and move to the given vertex.

    - `LINETO` :  1 vertex
        Draw a line from the current position to the given vertex.

    - `CURVE3` :  1 control point, 1 endpoint
        Draw a quadratic Bézier curve from the current position, with the given
        control point, to the given end point.

    - `CURVE4` :  2 control points, 1 endpoint
        Draw a cubic Bézier curve from the current position, with the given
        control points, to the given end point.

    - `CLOSEPOLY` : 1 vertex (ignored)
        Draw a line segment to the start point of the current polyline.

    If *codes* is None, it is interpreted as a `MOVETO` followed by a series
    of `LINETO`.

    Users of Path objects should not access the vertices and codes arrays
    directly.  Instead, they should use `iter_segments` or `cleaned` to get the
    vertex/code pairs.  This helps, in particular, to consistently handle the
    case of *codes* being None.

    Some behavior of Path objects can be controlled by rcParams. See the
    rcParams whose keys start with 'path.'.

    .. note::

        The vertices and codes arrays should be treated as
        immutable -- there are a number of optimizations and assumptions
        made up front in the constructor that will not change when the
        data changes.
    """

    code_type = np.uint8

    # Path codes
    STOP = code_type(0)         # 1 vertex
    MOVETO = code_type(1)       # 1 vertex
    LINETO = code_type(2)       # 1 vertex
    CURVE3 = code_type(3)       # 2 vertices
    CURVE4 = code_type(4)       # 3 vertices
    CLOSEPOLY = code_type(79)   # 1 vertex

    #: A dictionary mapping Path codes to the number of vertices that the
    #: code expects.
    NUM_VERTICES_FOR_CODE = {STOP: 1,
                             MOVETO: 1,
                             LINETO: 1,
                             CURVE3: 2,
                             CURVE4: 3,
                             CLOSEPOLY: 1}

    def __init__(self, vertices, codes=None, _interpolation_steps=1,
                 closed=False, readonly=False):
        """
        Create a new path with the given vertices and codes.

        Parameters
        ----------
        vertices : (N, 2) array-like
            The path vertices, as an array, masked array or sequence of pairs.
            Masked values, if any, will be converted to NaNs, which are then
            handled correctly by the Agg PathIterator and other consumers of
            path data, such as :meth:`iter_segments`.
        codes : array-like or None, optional
            N-length array of integers representing the codes of the path.
            If not None, codes must be the same length as vertices.
            If None, *vertices* will be treated as a series of line segments.
        _interpolation_steps : int, optional
            Used as a hint to certain projections, such as Polar, that this
            path should be linearly interpolated immediately before drawing.
            This attribute is primarily an implementation detail and is not
            intended for public use.
        closed : bool, optional
            If *codes* is None and closed is True, vertices will be treated as
            line segments of a closed polygon.  Note that the last vertex will
            then be ignored (as the corresponding code will be set to
            `CLOSEPOLY`).
        readonly : bool, optional
            Makes the path behave in an immutable way and sets the vertices
            and codes as read-only arrays.
        """
        vertices = _to_unmasked_float_array(vertices)
        _api.check_shape((None, 2), vertices=vertices)

        if codes is not None:
            codes = np.asarray(codes, self.code_type)
            if codes.ndim != 1 or len(codes) != len(vertices):
                raise ValueError("'codes' must be a 1D list or array with the "
                                 "same length of 'vertices'. "
                                 f"Your vertices have shape {vertices.shape} "
                                 f"but your codes have shape {codes.shape}")
            if len(codes) and codes[0] != self.MOVETO:
                raise ValueError("The first element of 'code' must be equal "
                                 f"to 'MOVETO' ({self.MOVETO}).  "
                                 f"Your first code is {codes[0]}")
        elif closed and len(vertices):
            codes = np.empty(len(vertices), dtype=self.code_type)
            codes[0] = self.MOVETO
            codes[1:-1] = self.LINETO
            codes[-1] = self.CLOSEPOLY

        self._vertices = vertices
        self._codes = codes
        self._interpolation_steps = _interpolation_steps
        self._update_values()

        if readonly:
            self._vertices.flags.writeable = False
            if self._codes is not None:
                self._codes.flags.writeable = False
            self._readonly = True
        else:
            self._readonly = False

    @classmethod
    def _fast_from_codes_and_verts(cls, verts, codes, internals_from=None):
        """
        Create a Path instance without the expense of calling the constructor.

        Parameters
        ----------
        verts : array-like
        codes : array
        internals_from : Path or None
            If not None, another `Path` from which the attributes
            ``should_simplify``, ``simplify_threshold``, and
            ``interpolation_steps`` will be copied.  Note that ``readonly`` is
            never copied, and always set to ``False`` by this constructor.
        """
        pth = cls.__new__(cls)
        pth._vertices = _to_unmasked_float_array(verts)
        pth._codes = codes
        pth._readonly = False
        if internals_from is not None:
            pth._should_simplify = internals_from._should_simplify
            pth._simplify_threshold = internals_from._simplify_threshold
            pth._interpolation_steps = internals_from._interpolation_steps
        else:
            pth._should_simplify = True
            pth._simplify_threshold = mpl.rcParams['path.simplify_threshold']
            pth._interpolation_steps = 1
        return pth

    @classmethod
    def _create_closed(cls, vertices):
        """
        Create a closed polygonal path going through *vertices*.

        Unlike ``Path(..., closed=True)``, *vertices* should **not** end with
        an entry for the CLOSEPATH; this entry is added by `._create_closed`.
        """
        v = _to_unmasked_float_array(vertices)
        return cls(np.concatenate([v, v[:1]]), closed=True)

    def _update_values(self):
        self._simplify_threshold = mpl.rcParams['path.simplify_threshold']
        self._should_simplify = (
            self._simplify_threshold > 0 and
            mpl.rcParams['path.simplify'] and
            len(self._vertices) >= 128 and
            (self._codes is None or np.all(self._codes <= Path.LINETO))
        )

    @property
    def vertices(self):
        """The vertices of the `Path` as an (N, 2) array."""
        return self._vertices

    @vertices.setter
    def vertices(self, vertices):
        if self._readonly:
            raise AttributeError("Can't set vertices on a readonly Path")
        self._vertices = vertices
        self._update_values()

    @property
    def codes(self):
        """
        The list of codes in the `Path` as a 1D array.

        Each code is one of `STOP`, `MOVETO`, `LINETO`, `CURVE3`, `CURVE4` or
        `CLOSEPOLY`.  For codes that correspond to more than one vertex
        (`CURVE3` and `CURVE4`), that code will be repeated so that the length
        of `vertices` and `codes` is always the same.
        """
        return self._codes

    @codes.setter
    def codes(self, codes):
        if self._readonly:
            raise AttributeError("Can't set codes on a readonly Path")
        self._codes = codes
        self._update_values()

    @property
    def simplify_threshold(self):
        """
        The fraction of a pixel difference below which vertices will
        be simplified out.
        """
        return self._simplify_threshold

    @simplify_threshold.setter
    def simplify_threshold(self, threshold):
        self._simplify_threshold = threshold

    @property
    def should_simplify(self):
        """
        `True` if the vertices array should be simplified.
        """
        return self._should_simplify

    @should_simplify.setter
    def should_simplify(self, should_simplify):
        self._should_simplify = should_simplify

    @property
    def readonly(self):
        """
        `True` if the `Path` is read-only.
        """
        return self._readonly

    def copy(self):
        """
        Return a shallow copy of the `Path`, which will share the
        vertices and codes with the source `Path`.
        """
        return copy.copy(self)

    def __deepcopy__(self, memo=None):
        """
        Return a deepcopy of the `Path`.  The `Path` will not be
        readonly, even if the source `Path` is.
        """
        # Deepcopying arrays (vertices, codes) strips the writeable=False flag.
        p = copy.deepcopy(super(), memo)
        p._readonly = False
        return p

    deepcopy = __deepcopy__

    @classmethod
    def make_compound_path_from_polys(cls, XY):
        """
        Make a compound `Path` object to draw a number of polygons with equal
        numbers of sides.

        .. plot:: gallery/misc/histogram_path.py

        Parameters
        ----------
        XY : (numpolys, numsides, 2) array
        """
        # for each poly: 1 for the MOVETO, (numsides-1) for the LINETO, 1 for
        # the CLOSEPOLY; the vert for the closepoly is ignored but we still
        # need it to keep the codes aligned with the vertices
        numpolys, numsides, two = XY.shape
        if two != 2:
            raise ValueError("The third dimension of 'XY' must be 2")
        stride = numsides + 1
        nverts = numpolys * stride
        verts = np.zeros((nverts, 2))
        codes = np.full(nverts, cls.LINETO, dtype=cls.code_type)
        codes[0::stride] = cls.MOVETO
        codes[numsides::stride] = cls.CLOSEPOLY
        for i in range(numsides):
            verts[i::stride] = XY[:, i]
        return cls(verts, codes)

    @classmethod
    def make_compound_path(cls, *args):
        r"""
        Concatenate a list of `Path`\s into a single `Path`, removing all `STOP`\s.
        """
        if not args:
            return Path(np.empty([0, 2], dtype=np.float32))
        vertices = np.concatenate([path.vertices for path in args])
        codes = np.empty(len(vertices), dtype=cls.code_type)
        i = 0
        for path in args:
            size = len(path.vertices)
            if path.codes is None:
                if size:
                    codes[i] = cls.MOVETO
                    codes[i+1:i+size] = cls.LINETO
            else:
                codes[i:i+size] = path.codes
            i += size
        not_stop_mask = codes != cls.STOP  # Remove STOPs, as internal STOPs are a bug.
        return cls(vertices[not_stop_mask], codes[not_stop_mask])

    def __repr__(self):
        return f"Path({self.vertices!r}, {self.codes!r})"

    def __len__(self):
        return len(self.vertices)

    def iter_segments(self, transform=None, remove_nans=True, clip=None,
                      snap=False, stroke_width=1.0, simplify=None,
                      curves=True, sketch=None):
        """
        Iterate over all curve segments in the path.

        Each iteration returns a pair ``(vertices, code)``, where ``vertices``
        is a sequence of 1-3 coordinate pairs, and ``code`` is a `Path` code.

        Additionally, this method can provide a number of standard cleanups and
        conversions to the path.

        Parameters
        ----------
        transform : None or :class:`~matplotlib.transforms.Transform`
            If not None, the given affine transformation will be applied to the
            path.
        remove_nans : bool, optional
            Whether to remove all NaNs from the path and skip over them using
            MOVETO commands.
        clip : None or (float, float, float, float), optional
            If not None, must be a four-tuple (x1, y1, x2, y2)
            defining a rectangle in which to clip the path.
        snap : None or bool, optional
            If True, snap all nodes to pixels; if False, don't snap them.
            If None, snap if the path contains only segments
            parallel to the x or y axes, and no more than 1024 of them.
        stroke_width : float, optional
            The width of the stroke being drawn (used for path snapping).
        simplify : None or bool, optional
            Whether to simplify the path by removing vertices
            that do not affect its appearance.  If None, use the
            :attr:`should_simplify` attribute.  See also :rc:`path.simplify`
            and :rc:`path.simplify_threshold`.
        curves : bool, optional
            If True, curve segments will be returned as curve segments.
            If False, all curves will be converted to line segments.
        sketch : None or sequence, optional
            If not None, must be a 3-tuple of the form
            (scale, length, randomness), representing the sketch parameters.
        """
        if not len(self):
            return

        cleaned = self.cleaned(transform=transform,
                               remove_nans=remove_nans, clip=clip,
                               snap=snap, stroke_width=stroke_width,
                               simplify=simplify, curves=curves,
                               sketch=sketch)

        # Cache these object lookups for performance in the loop.
        NUM_VERTICES_FOR_CODE = self.NUM_VERTICES_FOR_CODE
        STOP = self.STOP

        vertices = iter(cleaned.vertices)
        codes = iter(cleaned.codes)
        for curr_vertices, code in zip(vertices, codes):
            if code == STOP:
                break
            extra_vertices = NUM_VERTICES_FOR_CODE[code] - 1
            if extra_vertices:
                for i in range(extra_vertices):
                    next(codes)
                    curr_vertices = np.append(curr_vertices, next(vertices))
            yield curr_vertices, code

    def iter_bezier(self, **kwargs):
        """
        Iterate over each Bézier curve (lines included) in a `Path`.

        Parameters
        ----------
        **kwargs
            Forwarded to `.iter_segments`.

        Yields
        ------
        B : `~matplotlib.bezier.BezierSegment`
            The Bézier curves that make up the current path. Note in particular
            that freestanding points are Bézier curves of order 0, and lines
            are Bézier curves of order 1 (with two control points).
        code : `~matplotlib.path.Path.code_type`
            The code describing what kind of curve is being returned.
            `MOVETO`, `LINETO`, `CURVE3`, and `CURVE4` correspond to
            Bézier curves with 1, 2, 3, and 4 control points (respectively).
            `CLOSEPOLY` is a `LINETO` with the control points correctly
            chosen based on the start/end points of the current stroke.
        """
        first_vert = None
        prev_vert = None
        for verts, code in self.iter_segments(**kwargs):
            if first_vert is None:
                if code != Path.MOVETO:
                    raise ValueError("Malformed path, must start with MOVETO.")
            if code == Path.MOVETO:  # a point is like "CURVE1"
                first_vert = verts
                yield BezierSegment(np.array([first_vert])), code
            elif code == Path.LINETO:  # "CURVE2"
                yield BezierSegment(np.array([prev_vert, verts])), code
            elif code == Path.CURVE3:
                yield BezierSegment(np.array([prev_vert, verts[:2],
                                              verts[2:]])), code
            elif code == Path.CURVE4:
                yield BezierSegment(np.array([prev_vert, verts[:2],
                                              verts[2:4], verts[4:]])), code
            elif code == Path.CLOSEPOLY:
                yield BezierSegment(np.array([prev_vert, first_vert])), code
            elif code == Path.STOP:
                return
            else:
                raise ValueError(f"Invalid Path.code_type: {code}")
            prev_vert = verts[-2:]

    def _iter_connected_components(self):
        """Return subpaths split at MOVETOs."""
        if self.codes is None:
            yield self
        else:
            idxs = np.append((self.codes == Path.MOVETO).nonzero()[0], len(self.codes))
            for sl in map(slice, idxs, idxs[1:]):
                yield Path._fast_from_codes_and_verts(
                    self.vertices[sl], self.codes[sl], self)

    def cleaned(self, transform=None, remove_nans=False, clip=None,
                *, simplify=False, curves=False,
                stroke_width=1.0, snap=False, sketch=None):
        """
        Return a new `Path` with vertices and codes cleaned according to the
        parameters.

        See Also
        --------
        Path.iter_segments : for details of the keyword arguments.
        """
        vertices, codes = _path.cleanup_path(
            self, transform, remove_nans, clip, snap, stroke_width, simplify,
            curves, sketch)
        pth = Path._fast_from_codes_and_verts(vertices, codes, self)
        if not simplify:
            pth._should_simplify = False
        return pth

    def transformed(self, transform):
        """
        Return a transformed copy of the path.

        See Also
        --------
        matplotlib.transforms.TransformedPath
            A specialized path class that will cache the transformed result and
            automatically update when the transform changes.
        """
        return Path(transform.transform(self.vertices), self.codes,
                    self._interpolation_steps)

    def contains_point(self, point, transform=None, radius=0.0):
        """
        Return whether the area enclosed by the path contains the given point.

        The path is always treated as closed; i.e. if the last code is not
        `CLOSEPOLY` an implicit segment connecting the last vertex to the first
        vertex is assumed.

        Parameters
        ----------
        point : (float, float)
            The point (x, y) to check.
        transform : `~matplotlib.transforms.Transform`, optional
            If not ``None``, *point* will be compared to ``self`` transformed
            by *transform*; i.e. for a correct check, *transform* should
            transform the path into the coordinate system of *point*.
        radius : float, default: 0
            Additional margin on the path in coordinates of *point*.
            The path is extended tangentially by *radius/2*; i.e. if you would
            draw the path with a linewidth of *radius*, all points on the line
            would still be considered to be contained in the area. Conversely,
            negative values shrink the area: Points on the imaginary line
            will be considered outside the area.

        Returns
        -------
        bool

        Notes
        -----
        The current algorithm has some limitations:

        - The result is undefined for points exactly at the boundary
          (i.e. at the path shifted by *radius/2*).
        - The result is undefined if there is no enclosed area, i.e. all
          vertices are on a straight line.
        - If bounding lines start to cross each other due to *radius* shift,
          the result is not guaranteed to be correct.
        """
        if transform is not None:
            transform = transform.frozen()
        # `point_in_path` does not handle nonlinear transforms, so we
        # transform the path ourselves.  If *transform* is affine, letting
        # `point_in_path` handle the transform avoids allocating an extra
        # buffer.
        if transform and not transform.is_affine:
            self = transform.transform_path(self)
            transform = None
        return _path.point_in_path(point[0], point[1], radius, self, transform)

    def contains_points(self, points, transform=None, radius=0.0):
        """
        Return whether the area enclosed by the path contains the given points.

        The path is always treated as closed; i.e. if the last code is not
        `CLOSEPOLY` an implicit segment connecting the last vertex to the first
        vertex is assumed.

        Parameters
        ----------
        points : (N, 2) array
            The points to check. Columns contain x and y values.
        transform : `~matplotlib.transforms.Transform`, optional
            If not ``None``, *points* will be compared to ``self`` transformed
            by *transform*; i.e. for a correct check, *transform* should
            transform the path into the coordinate system of *points*.
        radius : float, default: 0
            Additional margin on the path in coordinates of *points*.
            The path is extended tangentially by *radius/2*; i.e. if you would
            draw the path with a linewidth of *radius*, all points on the line
            would still be considered to be contained in the area. Conversely,
            negative values shrink the area: Points on the imaginary line
            will be considered outside the area.

        Returns
        -------
        length-N bool array

        Notes
        -----
        The current algorithm has some limitations:

        - The result is undefined for points exactly at the boundary
          (i.e. at the path shifted by *radius/2*).
        - The result is undefined if there is no enclosed area, i.e. all
          vertices are on a straight line.
        - If bounding lines start to cross each other due to *radius* shift,
          the result is not guaranteed to be correct.
        """
        if transform is not None:
            transform = transform.frozen()
        result = _path.points_in_path(points, radius, self, transform)
        return result.astype('bool')

    def contains_path(self, path, transform=None):
        """
        Return whether this (closed) path completely contains the given path.

        If *transform* is not ``None``, the path will be transformed before
        checking for containment.
        """
        if transform is not None:
            transform = transform.frozen()
        return _path.path_in_path(self, None, path, transform)

    def get_extents(self, transform=None, **kwargs):
        """
        Get Bbox of the path.

        Parameters
        ----------
        transform : `~matplotlib.transforms.Transform`, optional
            Transform to apply to path before computing extents, if any.
        **kwargs
            Forwarded to `.iter_bezier`.

        Returns
        -------
        matplotlib.transforms.Bbox
            The extents of the path Bbox([[xmin, ymin], [xmax, ymax]])
        """
        from .transforms import Bbox
        if transform is not None:
            self = transform.transform_path(self)
        if self.codes is None:
            xys = self.vertices
        elif len(np.intersect1d(self.codes, [Path.CURVE3, Path.CURVE4])) == 0:
            # Optimization for the straight line case.
            # Instead of iterating through each curve, consider
            # each line segment's end-points
            # (recall that STOP and CLOSEPOLY vertices are ignored)
            xys = self.vertices[np.isin(self.codes,
                                        [Path.MOVETO, Path.LINETO])]
        else:
            xys = []
            for curve, code in self.iter_bezier(**kwargs):
                # places where the derivative is zero can be extrema
                _, dzeros = curve.axis_aligned_extrema()
                # as can the ends of the curve
                xys.append(curve([0, *dzeros, 1]))
            xys = np.concatenate(xys)
        if len(xys):
            return Bbox([xys.min(axis=0), xys.max(axis=0)])
        else:
            return Bbox.null()

    def intersects_path(self, other, filled=True):
        """
        Return whether if this path intersects another given path.

        If *filled* is True, then this also returns True if one path completely
        encloses the other (i.e., the paths are treated as filled).
        """
        return _path.path_intersects_path(self, other, filled)

    def intersects_bbox(self, bbox, filled=True):
        """
        Return whether this path intersects a given `~.transforms.Bbox`.

        If *filled* is True, then this also returns True if the path completely
        encloses the `.Bbox` (i.e., the path is treated as filled).

        The bounding box is always considered filled.
        """
        return _path.path_intersects_rectangle(
            self, bbox.x0, bbox.y0, bbox.x1, bbox.y1, filled)

    def interpolated(self, steps):
        """
        Return a new path resampled to length N x *steps*.

        Codes other than `LINETO` are not handled correctly.
        """
        if steps == 1:
            return self

        vertices = simple_linear_interpolation(self.vertices, steps)
        codes = self.codes
        if codes is not None:
            new_codes = np.full((len(codes) - 1) * steps + 1, Path.LINETO,
                                dtype=self.code_type)
            new_codes[0::steps] = codes
        else:
            new_codes = None
        return Path(vertices, new_codes)

    def to_polygons(self, transform=None, width=0, height=0, closed_only=True):
        """
        Convert this path to a list of polygons or polylines.  Each
        polygon/polyline is an (N, 2) array of vertices.  In other words,
        each polygon has no `MOVETO` instructions or curves.  This
        is useful for displaying in backends that do not support
        compound paths or Bézier curves.

        If *width* and *height* are both non-zero then the lines will
        be simplified so that vertices outside of (0, 0), (width,
        height) will be clipped.

        If *closed_only* is `True` (default), only closed polygons,
        with the last point being the same as the first point, will be
        returned.  Any unclosed polylines in the path will be
        explicitly closed.  If *closed_only* is `False`, any unclosed
        polygons in the path will be returned as unclosed polygons,
        and the closed polygons will be returned explicitly closed by
        setting the last point to the same as the first point.
        """
        if len(self.vertices) == 0:
            return []

        if transform is not None:
            transform = transform.frozen()

        if self.codes is None and (width == 0 or height == 0):
            vertices = self.vertices
            if closed_only:
                if len(vertices) < 3:
                    return []
                elif np.any(vertices[0] != vertices[-1]):
                    vertices = [*vertices, vertices[0]]

            if transform is None:
                return [vertices]
            else:
                return [transform.transform(vertices)]

        # Deal with the case where there are curves and/or multiple
        # subpaths (using extension code)
        return _path.convert_path_to_polygons(
            self, transform, width, height, closed_only)

    _unit_rectangle = None

    @classmethod
    def unit_rectangle(cls):
        """
        Return a `Path` instance of the unit rectangle from (0, 0) to (1, 1).
        """
        if cls._unit_rectangle is None:
            cls._unit_rectangle = cls([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]],
                                      closed=True, readonly=True)
        return cls._unit_rectangle

    _unit_regular_polygons = WeakValueDictionary()

    @classmethod
    def unit_regular_polygon(cls, numVertices):
        """
        Return a :class:`Path` instance for a unit regular polygon with the
        given *numVertices* such that the circumscribing circle has radius 1.0,
        centered at (0, 0).
        """
        if numVertices <= 16:
            path = cls._unit_regular_polygons.get(numVertices)
        else:
            path = None
        if path is None:
            theta = ((2 * np.pi / numVertices) * np.arange(numVertices + 1)
                     # This initial rotation is to make sure the polygon always
                     # "points-up".
                     + np.pi / 2)
            verts = np.column_stack((np.cos(theta), np.sin(theta)))
            path = cls(verts, closed=True, readonly=True)
            if numVertices <= 16:
                cls._unit_regular_polygons[numVertices] = path
        return path

    _unit_regular_stars = WeakValueDictionary()

    @classmethod
    def unit_regular_star(cls, numVertices, innerCircle=0.5):
        """
        Return a :class:`Path` for a unit regular star with the given
        numVertices and radius of 1.0, centered at (0, 0).
        """
        if numVertices <= 16:
            path = cls._unit_regular_stars.get((numVertices, innerCircle))
        else:
            path = None
        if path is None:
            ns2 = numVertices * 2
            theta = (2*np.pi/ns2 * np.arange(ns2 + 1))
            # This initial rotation is to make sure the polygon always
            # "points-up"
            theta += np.pi / 2.0
            r = np.ones(ns2 + 1)
            r[1::2] = innerCircle
            verts = (r * np.vstack((np.cos(theta), np.sin(theta)))).T
            path = cls(verts, closed=True, readonly=True)
            if numVertices <= 16:
                cls._unit_regular_stars[(numVertices, innerCircle)] = path
        return path

    @classmethod
    def unit_regular_asterisk(cls, numVertices):
        """
        Return a :class:`Path` for a unit regular asterisk with the given
        numVertices and radius of 1.0, centered at (0, 0).
        """
        return cls.unit_regular_star(numVertices, 0.0)

    _unit_circle = None

    @classmethod
    def unit_circle(cls):
        """
        Return the readonly :class:`Path` of the unit circle.

        For most cases, :func:`Path.circle` will be what you want.
        """
        if cls._unit_circle is None:
            cls._unit_circle = cls.circle(center=(0, 0), radius=1,
                                          readonly=True)
        return cls._unit_circle

    @classmethod
    def circle(cls, center=(0., 0.), radius=1., readonly=False):
        """
        Return a `Path` representing a circle of a given radius and center.

        Parameters
        ----------
        center : (float, float), default: (0, 0)
            The center of the circle.
        radius : float, default: 1
            The radius of the circle.
        readonly : bool
            Whether the created path should have the "readonly" argument
            set when creating the Path instance.

        Notes
        -----
        The circle is approximated using 8 cubic Bézier curves, as described in

          Lancaster, Don.  `Approximating a Circle or an Ellipse Using Four
          Bezier Cubic Splines <https://www.tinaja.com/glib/ellipse4.pdf>`_.
        """
        MAGIC = 0.2652031
        SQRTHALF = np.sqrt(0.5)
        MAGIC45 = SQRTHALF * MAGIC

        vertices = np.array([[0.0, -1.0],

                             [MAGIC, -1.0],
                             [SQRTHALF-MAGIC45, -SQRTHALF-MAGIC45],
                             [SQRTHALF, -SQRTHALF],

                             [SQRTHALF+MAGIC45, -SQRTHALF+MAGIC45],
                             [1.0, -MAGIC],
                             [1.0, 0.0],

                             [1.0, MAGIC],
                             [SQRTHALF+MAGIC45, SQRTHALF-MAGIC45],
                             [SQRTHALF, SQRTHALF],

                             [SQRTHALF-MAGIC45, SQRTHALF+MAGIC45],
                             [MAGIC, 1.0],
                             [0.0, 1.0],

                             [-MAGIC, 1.0],
                             [-SQRTHALF+MAGIC45, SQRTHALF+MAGIC45],
                             [-SQRTHALF, SQRTHALF],

                             [-SQRTHALF-MAGIC45, SQRTHALF-MAGIC45],
                             [-1.0, MAGIC],
                             [-1.0, 0.0],

                             [-1.0, -MAGIC],
                             [-SQRTHALF-MAGIC45, -SQRTHALF+MAGIC45],
                             [-SQRTHALF, -SQRTHALF],

                             [-SQRTHALF+MAGIC45, -SQRTHALF-MAGIC45],
                             [-MAGIC, -1.0],
                             [0.0, -1.0],

                             [0.0, -1.0]],
                            dtype=float)

        codes = [cls.CURVE4] * 26
        codes[0] = cls.MOVETO
        codes[-1] = cls.CLOSEPOLY
        return Path(vertices * radius + center, codes, readonly=readonly)

    _unit_circle_righthalf = None

    @classmethod
    def unit_circle_righthalf(cls):
        """
        Return a `Path` of the right half of a unit circle.

        See `Path.circle` for the reference on the approximation used.
        """
        if cls._unit_circle_righthalf is None:
            MAGIC = 0.2652031
            SQRTHALF = np.sqrt(0.5)
            MAGIC45 = SQRTHALF * MAGIC

            vertices = np.array(
                [[0.0, -1.0],

                 [MAGIC, -1.0],
                 [SQRTHALF-MAGIC45, -SQRTHALF-MAGIC45],
                 [SQRTHALF, -SQRTHALF],

                 [SQRTHALF+MAGIC45, -SQRTHALF+MAGIC45],
                 [1.0, -MAGIC],
                 [1.0, 0.0],

                 [1.0, MAGIC],
                 [SQRTHALF+MAGIC45, SQRTHALF-MAGIC45],
                 [SQRTHALF, SQRTHALF],

                 [SQRTHALF-MAGIC45, SQRTHALF+MAGIC45],
                 [MAGIC, 1.0],
                 [0.0, 1.0],

                 [0.0, -1.0]],

                float)

            codes = np.full(14, cls.CURVE4, dtype=cls.code_type)
            codes[0] = cls.MOVETO
            codes[-1] = cls.CLOSEPOLY

            cls._unit_circle_righthalf = cls(vertices, codes, readonly=True)
        return cls._unit_circle_righthalf

    @classmethod
    def arc(cls, theta1, theta2, n=None, is_wedge=False):
        """
        Return a `Path` for the unit circle arc from angles *theta1* to
        *theta2* (in degrees).

        *theta2* is unwrapped to produce the shortest arc within 360 degrees.
        That is, if *theta2* > *theta1* + 360, the arc will be from *theta1* to
        *theta2* - 360 and not a full circle plus some extra overlap.

        If *n* is provided, it is the number of spline segments to make.
        If *n* is not provided, the number of spline segments is
        determined based on the delta between *theta1* and *theta2*.

           Masionobe, L.  2003.  `Drawing an elliptical arc using
           polylines, quadratic or cubic Bezier curves
           <https://web.archive.org/web/20190318044212/http://www.spaceroots.org/documents/ellipse/index.html>`_.
        """
        halfpi = np.pi * 0.5

        eta1 = theta1
        eta2 = theta2 - 360 * np.floor((theta2 - theta1) / 360)
        # Ensure 2pi range is not flattened to 0 due to floating-point errors,
        # but don't try to expand existing 0 range.
        if theta2 != theta1 and eta2 <= eta1:
            eta2 += 360
        eta1, eta2 = np.deg2rad([eta1, eta2])

        # number of curve segments to make
        if n is None:
            n = int(2 ** np.ceil((eta2 - eta1) / halfpi))
        if n < 1:
            raise ValueError("n must be >= 1 or None")

        deta = (eta2 - eta1) / n
        t = np.tan(0.5 * deta)
        alpha = np.sin(deta) * (np.sqrt(4.0 + 3.0 * t * t) - 1) / 3.0

        steps = np.linspace(eta1, eta2, n + 1, True)
        cos_eta = np.cos(steps)
        sin_eta = np.sin(steps)

        xA = cos_eta[:-1]
        yA = sin_eta[:-1]
        xA_dot = -yA
        yA_dot = xA

        xB = cos_eta[1:]
        yB = sin_eta[1:]
        xB_dot = -yB
        yB_dot = xB

        if is_wedge:
            length = n * 3 + 4
            vertices = np.zeros((length, 2), float)
            codes = np.full(length, cls.CURVE4, dtype=cls.code_type)
            vertices[1] = [xA[0], yA[0]]
            codes[0:2] = [cls.MOVETO, cls.LINETO]
            codes[-2:] = [cls.LINETO, cls.CLOSEPOLY]
            vertex_offset = 2
            end = length - 2
        else:
            length = n * 3 + 1
            vertices = np.empty((length, 2), float)
            codes = np.full(length, cls.CURVE4, dtype=cls.code_type)
            vertices[0] = [xA[0], yA[0]]
            codes[0] = cls.MOVETO
            vertex_offset = 1
            end = length

        vertices[vertex_offset:end:3, 0] = xA + alpha * xA_dot
        vertices[vertex_offset:end:3, 1] = yA + alpha * yA_dot
        vertices[vertex_offset+1:end:3, 0] = xB - alpha * xB_dot
        vertices[vertex_offset+1:end:3, 1] = yB - alpha * yB_dot
        vertices[vertex_offset+2:end:3, 0] = xB
        vertices[vertex_offset+2:end:3, 1] = yB

        return cls(vertices, codes, readonly=True)

    @classmethod
    def wedge(cls, theta1, theta2, n=None):
        """
        Return a `Path` for the unit circle wedge from angles *theta1* to
        *theta2* (in degrees).

        *theta2* is unwrapped to produce the shortest wedge within 360 degrees.
        That is, if *theta2* > *theta1* + 360, the wedge will be from *theta1*
        to *theta2* - 360 and not a full circle plus some extra overlap.

        If *n* is provided, it is the number of spline segments to make.
        If *n* is not provided, the number of spline segments is
        determined based on the delta between *theta1* and *theta2*.

        See `Path.arc` for the reference on the approximation used.
        """
        return cls.arc(theta1, theta2, n, True)

    @staticmethod
    @lru_cache(8)
    def hatch(hatchpattern, density=6):
        """
        Given a hatch specifier, *hatchpattern*, generates a `Path` that
        can be used in a repeated hatching pattern.  *density* is the
        number of lines per unit square.
        """
        from matplotlib.hatch import get_path
        return (get_path(hatchpattern, density)
                if hatchpattern is not None else None)

    def clip_to_bbox(self, bbox, inside=True):
        """
        Clip the path to the given bounding box.

        The path must be made up of one or more closed polygons.  This
        algorithm will not behave correctly for unclosed paths.

        If *inside* is `True`, clip to the inside of the box, otherwise
        to the outside of the box.
        """
        verts = _path.clip_path_to_rect(self, bbox, inside)
        paths = [Path(poly) for poly in verts]
        return self.make_compound_path(*paths)


def get_path_collection_extents(
        master_transform, paths, transforms, offsets, offset_transform):
    r"""
    Get bounding box of a `.PathCollection`\s internal objects.

    That is, given a sequence of `Path`\s, `.Transform`\s objects, and offsets, as found
    in a `.PathCollection`, return the bounding box that encapsulates all of them.

    Parameters
    ----------
    master_transform : `~matplotlib.transforms.Transform`
        Global transformation applied to all paths.
    paths : list of `Path`
    transforms : list of `~matplotlib.transforms.Affine2DBase`
        If non-empty, this overrides *master_transform*.
    offsets : (N, 2) array-like
    offset_transform : `~matplotlib.transforms.Affine2DBase`
        Transform applied to the offsets before offsetting the path.

    Notes
    -----
    The way that *paths*, *transforms* and *offsets* are combined follows the same
    method as for collections: each is iterated over independently, so if you have 3
    paths (A, B, C), 2 transforms (α, β) and 1 offset (O), their combinations are as
    follows:

    - (A, α, O)
    - (B, β, O)
    - (C, α, O)
    """
    from .transforms import Bbox
    if len(paths) == 0:
        raise ValueError("No paths provided")
    if len(offsets) == 0:
        _api.warn_deprecated(
            "3.8", message="Calling get_path_collection_extents() with an"
            " empty offsets list is deprecated since %(since)s. Support will"
            " be removed %(removal)s.")
    extents, minpos = _path.get_path_collection_extents(
        master_transform, paths, np.atleast_3d(transforms),
        offsets, offset_transform)
    return Bbox.from_extents(*extents, minpos=minpos)