63.3 kB

	from collections import namedtuple
	import contextlib
	from functools import cache, reduce, wraps
	import inspect
	from inspect import Signature, Parameter
	import logging
	from numbers import Number, Real
	import operator
	import re
	import warnings

	import numpy as np

	import matplotlib as mpl
	from . import _api, cbook
	from .path import Path
	from .transforms import (BboxBase, Bbox, IdentityTransform, Transform, TransformedBbox,
	TransformedPatchPath, TransformedPath)

	_log = logging.getLogger(__name__)


	def _prevent_rasterization(draw):
	# We assume that by default artists are not allowed to rasterize (unless
	# its draw method is explicitly decorated). If it is being drawn after a
	# rasterized artist and it has reached a raster_depth of 0, we stop
	# rasterization so that it does not affect the behavior of normal artist
	# (e.g., change in dpi).

	@wraps(draw)
	def draw_wrapper(artist, renderer, args, *kwargs):
	if renderer._raster_depth == 0 and renderer._rasterizing:
	# Only stop when we are not in a rasterized parent
	# and something has been rasterized since last stop.
	renderer.stop_rasterizing()
	renderer._rasterizing = False

	return draw(artist, renderer, args, *kwargs)

	draw_wrapper._supports_rasterization = False
	return draw_wrapper


	def allow_rasterization(draw):
	"""
	Decorator for Artist.draw method. Provides routines
	that run before and after the draw call. The before and after functions
	are useful for changing artist-dependent renderer attributes or making
	other setup function calls, such as starting and flushing a mixed-mode
	renderer.
	"""

	@wraps(draw)
	def draw_wrapper(artist, renderer):
	try:
	if artist.get_rasterized():
	if renderer._raster_depth == 0 and not renderer._rasterizing:
	renderer.start_rasterizing()
	renderer._rasterizing = True
	renderer._raster_depth += 1
	else:
	if renderer._raster_depth == 0 and renderer._rasterizing:
	# Only stop when we are not in a rasterized parent
	# and something has be rasterized since last stop
	renderer.stop_rasterizing()
	renderer._rasterizing = False

	if artist.get_agg_filter() is not None:
	renderer.start_filter()

	return draw(artist, renderer)
	finally:
	if artist.get_agg_filter() is not None:
	renderer.stop_filter(artist.get_agg_filter())
	if artist.get_rasterized():
	renderer._raster_depth -= 1
	if (renderer._rasterizing and (fig := artist.get_figure(root=True)) and
	fig.suppressComposite):
	# restart rasterizing to prevent merging
	renderer.stop_rasterizing()
	renderer.start_rasterizing()

	draw_wrapper._supports_rasterization = True
	return draw_wrapper


	def _finalize_rasterization(draw):
	"""
	Decorator for Artist.draw method. Needed on the outermost artist, i.e.
	Figure, to finish up if the render is still in rasterized mode.
	"""
	@wraps(draw)
	def draw_wrapper(artist, renderer, args, *kwargs):
	result = draw(artist, renderer, args, *kwargs)
	if renderer._rasterizing:
	renderer.stop_rasterizing()
	renderer._rasterizing = False
	return result
	return draw_wrapper


	def _stale_axes_callback(self, val):
	if self.axes:
	self.axes.stale = val


	_XYPair = namedtuple("_XYPair", "x y")


	class _Unset:
	def __repr__(self):
	return "<UNSET>"
	_UNSET = _Unset()


	class Artist:
	"""
	Abstract base class for objects that render into a FigureCanvas.

	Typically, all visible elements in a figure are subclasses of Artist.
	"""

	zorder = 0

	def __init_subclass__(cls):

	# Decorate draw() method so that all artists are able to stop
	# rastrization when necessary. If the artist's draw method is already
	# decorated (has a `_supports_rasterization` attribute), it won't be
	# decorated.

	if not hasattr(cls.draw, "_supports_rasterization"):
	cls.draw = _prevent_rasterization(cls.draw)

	# Inject custom set() methods into the subclass with signature and
	# docstring based on the subclasses' properties.

	if not hasattr(cls.set, '_autogenerated_signature'):
	# Don't overwrite cls.set if the subclass or one of its parents
	# has defined a set method set itself.
	# If there was no explicit definition, cls.set is inherited from
	# the hierarchy of auto-generated set methods, which hold the
	# flag _autogenerated_signature.
	return

	cls.set = lambda self, kwargs: Artist.set(self, kwargs)
	cls.set.__name__ = "set"
	cls.set.__qualname__ = f"{cls.__qualname__}.set"
	cls._update_set_signature_and_docstring()

	_PROPERTIES_EXCLUDED_FROM_SET = [
	'navigate_mode', # not a user-facing function
	'figure', # changing the figure is such a profound operation
	# that we don't want this in set()
	'3d_properties', # cannot be used as a keyword due to leading digit
	]

	@classmethod
	def _update_set_signature_and_docstring(cls):
	"""
	Update the signature of the set function to list all properties
	as keyword arguments.

	Property aliases are not listed in the signature for brevity, but
	are still accepted as keyword arguments.
	"""
	cls.set.__signature__ = Signature(
	[Parameter("self", Parameter.POSITIONAL_OR_KEYWORD),
	*[Parameter(prop, Parameter.KEYWORD_ONLY, default=_UNSET)
	for prop in ArtistInspector(cls).get_setters()
	if prop not in Artist._PROPERTIES_EXCLUDED_FROM_SET]])
	cls.set._autogenerated_signature = True

	cls.set.__doc__ = (
	"Set multiple properties at once.\n\n"
	"Supported properties are\n\n"
	+ kwdoc(cls))

	def __init__(self):
	self._stale = True
	self.stale_callback = None
	self._axes = None
	self._parent_figure = None

	self._transform = None
	self._transformSet = False
	self._visible = True
	self._animated = False
	self._alpha = None
	self.clipbox = None
	self._clippath = None
	self._clipon = True
	self._label = ''
	self._picker = None
	self._rasterized = False
	self._agg_filter = None
	# Normally, artist classes need to be queried for mouseover info if and
	# only if they override get_cursor_data.
	self._mouseover = type(self).get_cursor_data != Artist.get_cursor_data
	self._callbacks = cbook.CallbackRegistry(signals=["pchanged"])
	try:
	self.axes = None
	except AttributeError:
	# Handle self.axes as a read-only property, as in Figure.
	pass
	self._remove_method = None
	self._url = None
	self._gid = None
	self._snap = None
	self._sketch = mpl.rcParams['path.sketch']
	self._path_effects = mpl.rcParams['path.effects']
	self._sticky_edges = _XYPair([], [])
	self._in_layout = True

	def __getstate__(self):
	d = self.__dict__.copy()
	d['stale_callback'] = None
	return d

	def remove(self):
	"""
	Remove the artist from the figure if possible.

	The effect will not be visible until the figure is redrawn, e.g.,
	with `.FigureCanvasBase.draw_idle`. Call `~.axes.Axes.relim` to
	update the Axes limits if desired.

	Note: `~.axes.Axes.relim` will not see collections even if the
	collection was added to the Axes with autolim = True.

	Note: there is no support for removing the artist's legend entry.
	"""

	# There is no method to set the callback. Instead, the parent should
	# set the _remove_method attribute directly. This would be a
	# protected attribute if Python supported that sort of thing. The
	# callback has one parameter, which is the child to be removed.
	if self._remove_method is not None:
	self._remove_method(self)
	# clear stale callback
	self.stale_callback = None
	_ax_flag = False
	if hasattr(self, 'axes') and self.axes:
	# remove from the mouse hit list
	self.axes._mouseover_set.discard(self)
	self.axes.stale = True
	self.axes = None # decouple the artist from the Axes
	_ax_flag = True

	if (fig := self.get_figure(root=False)) is not None:
	if not _ax_flag:
	fig.stale = True
	self._parent_figure = None

	else:
	raise NotImplementedError('cannot remove artist')
	# TODO: the fix for the collections relim problem is to move the
	# limits calculation into the artist itself, including the property of
	# whether or not the artist should affect the limits. Then there will
	# be no distinction between axes.add_line, axes.add_patch, etc.
	# TODO: add legend support

	def have_units(self):
	"""Return whether units are set on any axis."""
	ax = self.axes
	return ax and any(axis.have_units() for axis in ax._axis_map.values())

	def convert_xunits(self, x):
	"""
	Convert x using the unit type of the xaxis.

	If the artist is not contained in an Axes or if the xaxis does not
	have units, x itself is returned.
	"""
	ax = getattr(self, 'axes', None)
	if ax is None or ax.xaxis is None:
	return x
	return ax.xaxis.convert_units(x)

	def convert_yunits(self, y):
	"""
	Convert y using the unit type of the yaxis.

	If the artist is not contained in an Axes or if the yaxis does not
	have units, y itself is returned.
	"""
	ax = getattr(self, 'axes', None)
	if ax is None or ax.yaxis is None:
	return y
	return ax.yaxis.convert_units(y)

	@property
	def axes(self):
	"""The `~.axes.Axes` instance the artist resides in, or None."""
	return self._axes

	@axes.setter
	def axes(self, new_axes):
	if (new_axes is not None and self._axes is not None
	and new_axes != self._axes):
	raise ValueError("Can not reset the Axes. You are probably trying to reuse "
	"an artist in more than one Axes which is not supported")
	self._axes = new_axes
	if new_axes is not None and new_axes is not self:
	self.stale_callback = _stale_axes_callback

	@property
	def stale(self):
	"""
	Whether the artist is 'stale' and needs to be re-drawn for the output
	to match the internal state of the artist.
	"""
	return self._stale

	@stale.setter
	def stale(self, val):
	self._stale = val

	# if the artist is animated it does not take normal part in the
	# draw stack and is not expected to be drawn as part of the normal
	# draw loop (when not saving) so do not propagate this change
	if self._animated:
	return

	if val and self.stale_callback is not None:
	self.stale_callback(self, val)

	def get_window_extent(self, renderer=None):
	"""
	Get the artist's bounding box in display space.

	The bounding box' width and height are nonnegative.

	Subclasses should override for inclusion in the bounding box
	"tight" calculation. Default is to return an empty bounding
	box at 0, 0.

	Be careful when using this function, the results will not update
	if the artist window extent of the artist changes. The extent
	can change due to any changes in the transform stack, such as
	changing the Axes limits, the figure size, or the canvas used
	(as is done when saving a figure). This can lead to unexpected
	behavior where interactive figures will look fine on the screen,
	but will save incorrectly.
	"""
	return Bbox([[0, 0], [0, 0]])

	def get_tightbbox(self, renderer=None):
	"""
	Like `.Artist.get_window_extent`, but includes any clipping.

	Parameters
	----------
	renderer : `~matplotlib.backend_bases.RendererBase` subclass, optional
	renderer that will be used to draw the figures (i.e.
	``fig.canvas.get_renderer()``)

	Returns
	-------
	`.Bbox` or None
	The enclosing bounding box (in figure pixel coordinates).
	Returns None if clipping results in no intersection.
	"""
	bbox = self.get_window_extent(renderer)
	if self.get_clip_on():
	clip_box = self.get_clip_box()
	if clip_box is not None:
	bbox = Bbox.intersection(bbox, clip_box)
	clip_path = self.get_clip_path()
	if clip_path is not None and bbox is not None:
	clip_path = clip_path.get_fully_transformed_path()
	bbox = Bbox.intersection(bbox, clip_path.get_extents())
	return bbox

	def add_callback(self, func):
	"""
	Add a callback function that will be called whenever one of the
	`.Artist`'s properties changes.

	Parameters
	----------
	func : callable
	The callback function. It must have the signature::

	def func(artist: Artist) -> Any

	where artist is the calling `.Artist`. Return values may exist
	but are ignored.

	Returns
	-------
	int
	The observer id associated with the callback. This id can be
	used for removing the callback with `.remove_callback` later.

	See Also
	--------
	remove_callback
	"""
	# Wrapping func in a lambda ensures it can be connected multiple times
	# and never gets weakref-gc'ed.
	return self._callbacks.connect("pchanged", lambda: func(self))

	def remove_callback(self, oid):
	"""
	Remove a callback based on its observer id.

	See Also
	--------
	add_callback
	"""
	self._callbacks.disconnect(oid)

	def pchanged(self):
	"""
	Call all of the registered callbacks.

	This function is triggered internally when a property is changed.

	See Also
	--------
	add_callback
	remove_callback
	"""
	self._callbacks.process("pchanged")

	def is_transform_set(self):
	"""
	Return whether the Artist has an explicitly set transform.

	This is True after `.set_transform` has been called.
	"""
	return self._transformSet

	def set_transform(self, t):
	"""
	Set the artist transform.

	Parameters
	----------
	t : `~matplotlib.transforms.Transform`
	"""
	self._transform = t
	self._transformSet = True
	self.pchanged()
	self.stale = True

	def get_transform(self):
	"""Return the `.Transform` instance used by this artist."""
	if self._transform is None:
	self._transform = IdentityTransform()
	elif (not isinstance(self._transform, Transform)
	and hasattr(self._transform, '_as_mpl_transform')):
	self._transform = self._transform._as_mpl_transform(self.axes)
	return self._transform

	def get_children(self):
	r"""Return a list of the child `.Artist`\s of this `.Artist`."""
	return []

	def _different_canvas(self, event):
	"""
	Check whether an event occurred on a canvas other that this artist's canvas.

	If this method returns True, the event definitely occurred on a different
	canvas; if it returns False, either it occurred on the same canvas, or we may
	not have enough information to know.

	Subclasses should start their definition of `contains` as follows::

	if self._different_canvas(mouseevent):
	return False, {}
	# subclass-specific implementation follows
	"""
	return (getattr(event, "canvas", None) is not None
	and (fig := self.get_figure(root=True)) is not None
	and event.canvas is not fig.canvas)

	def contains(self, mouseevent):
	"""
	Test whether the artist contains the mouse event.

	Parameters
	----------
	mouseevent : `~matplotlib.backend_bases.MouseEvent`

	Returns
	-------
	contains : bool
	Whether any values are within the radius.
	details : dict
	An artist-specific dictionary of details of the event context,
	such as which points are contained in the pick radius. See the
	individual Artist subclasses for details.
	"""
	_log.warning("%r needs 'contains' method", self.__class__.__name__)
	return False, {}

	def pickable(self):
	"""
	Return whether the artist is pickable.

	See Also
	--------
	.Artist.set_picker, .Artist.get_picker, .Artist.pick
	"""
	return self.get_figure(root=False) is not None and self._picker is not None

	def pick(self, mouseevent):
	"""
	Process a pick event.

	Each child artist will fire a pick event if mouseevent is over
	the artist and the artist has picker set.

	See Also
	--------
	.Artist.set_picker, .Artist.get_picker, .Artist.pickable
	"""
	from .backend_bases import PickEvent # Circular import.
	# Pick self
	if self.pickable():
	picker = self.get_picker()
	if callable(picker):
	inside, prop = picker(self, mouseevent)
	else:
	inside, prop = self.contains(mouseevent)
	if inside:
	PickEvent("pick_event", self.get_figure(root=True).canvas,
	mouseevent, self, **prop)._process()

	# Pick children
	for a in self.get_children():
	# make sure the event happened in the same Axes
	ax = getattr(a, 'axes', None)
	if (isinstance(a, mpl.figure.SubFigure)
	or mouseevent.inaxes is None or ax is None
	or mouseevent.inaxes == ax):
	# we need to check if mouseevent.inaxes is None
	# because some objects associated with an Axes (e.g., a
	# tick label) can be outside the bounding box of the
	# Axes and inaxes will be None
	# also check that ax is None so that it traverse objects
	# which do not have an axes property but children might
	a.pick(mouseevent)

	def set_picker(self, picker):
	"""
	Define the picking behavior of the artist.

	Parameters
	----------
	picker : None or bool or float or callable
	This can be one of the following:

	- None: Picking is disabled for this artist (default).

	- A boolean: If True then picking will be enabled and the
	artist will fire a pick event if the mouse event is over
	the artist.

	- A float: If picker is a number it is interpreted as an
	epsilon tolerance in points and the artist will fire
	off an event if its data is within epsilon of the mouse
	event. For some artists like lines and patch collections,
	the artist may provide additional data to the pick event
	that is generated, e.g., the indices of the data within
	epsilon of the pick event

	- A function: If picker is callable, it is a user supplied
	function which determines whether the artist is hit by the
	mouse event::

	hit, props = picker(artist, mouseevent)

	to determine the hit test. if the mouse event is over the
	artist, return hit=True and props is a dictionary of
	properties you want added to the PickEvent attributes.
	"""
	self._picker = picker

	def get_picker(self):
	"""
	Return the picking behavior of the artist.

	The possible values are described in `.Artist.set_picker`.

	See Also
	--------
	.Artist.set_picker, .Artist.pickable, .Artist.pick
	"""
	return self._picker

	def get_url(self):
	"""Return the url."""
	return self._url

	def set_url(self, url):
	"""
	Set the url for the artist.

	Parameters
	----------
	url : str
	"""
	self._url = url

	def get_gid(self):
	"""Return the group id."""
	return self._gid

	def set_gid(self, gid):
	"""
	Set the (group) id for the artist.

	Parameters
	----------
	gid : str
	"""
	self._gid = gid

	def get_snap(self):
	"""
	Return the snap setting.

	See `.set_snap` for details.
	"""
	if mpl.rcParams['path.snap']:
	return self._snap
	else:
	return False

	def set_snap(self, snap):
	"""
	Set the snapping behavior.

	Snapping aligns positions with the pixel grid, which results in
	clearer images. For example, if a black line of 1px width was
	defined at a position in between two pixels, the resulting image
	would contain the interpolated value of that line in the pixel grid,
	which would be a grey value on both adjacent pixel positions. In
	contrast, snapping will move the line to the nearest integer pixel
	value, so that the resulting image will really contain a 1px wide
	black line.

	Snapping is currently only supported by the Agg and MacOSX backends.

	Parameters
	----------
	snap : bool or None
	Possible values:

	- True: Snap vertices to the nearest pixel center.
	- False: Do not modify vertex positions.
	- None: (auto) If the path contains only rectilinear line
	segments, round to the nearest pixel center.
	"""
	self._snap = snap
	self.stale = True

	def get_sketch_params(self):
	"""
	Return the sketch parameters for the artist.

	Returns
	-------
	tuple or None

	A 3-tuple with the following elements:

	- scale: The amplitude of the wiggle perpendicular to the
	source line.
	- length: The length of the wiggle along the line.
	- randomness: The scale factor by which the length is
	shrunken or expanded.

	Returns None if no sketch parameters were set.
	"""
	return self._sketch

	def set_sketch_params(self, scale=None, length=None, randomness=None):
	"""
	Set the sketch parameters.

	Parameters
	----------
	scale : float, optional
	The amplitude of the wiggle perpendicular to the source
	line, in pixels. If scale is `None`, or not provided, no
	sketch filter will be provided.
	length : float, optional
	The length of the wiggle along the line, in pixels
	(default 128.0)
	randomness : float, optional
	The scale factor by which the length is shrunken or
	expanded (default 16.0)

	The PGF backend uses this argument as an RNG seed and not as
	described above. Using the same seed yields the same random shape.

	.. ACCEPTS: (scale: float, length: float, randomness: float)
	"""
	if scale is None:
	self._sketch = None
	else:
	self._sketch = (scale, length or 128.0, randomness or 16.0)
	self.stale = True

	def set_path_effects(self, path_effects):
	"""
	Set the path effects.

	Parameters
	----------
	path_effects : list of `.AbstractPathEffect`
	"""
	self._path_effects = path_effects
	self.stale = True

	def get_path_effects(self):
	return self._path_effects

	def get_figure(self, root=False):
	"""
	Return the `.Figure` or `.SubFigure` instance the artist belongs to.

	Parameters
	----------
	root : bool, default=False
	If False, return the (Sub)Figure this artist is on. If True,
	return the root Figure for a nested tree of SubFigures.
	"""
	if root and self._parent_figure is not None:
	return self._parent_figure.get_figure(root=True)

	return self._parent_figure

	def set_figure(self, fig):
	"""
	Set the `.Figure` or `.SubFigure` instance the artist belongs to.

	Parameters
	----------
	fig : `~matplotlib.figure.Figure` or `~matplotlib.figure.SubFigure`
	"""
	# if this is a no-op just return
	if self._parent_figure is fig:
	return
	# if we currently have a figure (the case of both `self.figure`
	# and fig being none is taken care of above) we then user is
	# trying to change the figure an artist is associated with which
	# is not allowed for the same reason as adding the same instance
	# to more than one Axes
	if self._parent_figure is not None:
	raise RuntimeError("Can not put single artist in "
	"more than one figure")
	self._parent_figure = fig
	if self._parent_figure and self._parent_figure is not self:
	self.pchanged()
	self.stale = True

	figure = property(get_figure, set_figure,
	doc=("The (Sub)Figure that the artist is on. For more "
	"control, use the `get_figure` method."))

	def set_clip_box(self, clipbox):
	"""
	Set the artist's clip `.Bbox`.

	Parameters
	----------
	clipbox : `~matplotlib.transforms.BboxBase` or None
	Will typically be created from a `.TransformedBbox`. For instance,
	``TransformedBbox(Bbox([[0, 0], [1, 1]]), ax.transAxes)`` is the default
	clipping for an artist added to an Axes.

	"""
	_api.check_isinstance((BboxBase, None), clipbox=clipbox)
	if clipbox != self.clipbox:
	self.clipbox = clipbox
	self.pchanged()
	self.stale = True

	def set_clip_path(self, path, transform=None):
	"""
	Set the artist's clip path.

	Parameters
	----------
	path : `~matplotlib.patches.Patch` or `.Path` or `.TransformedPath` or None
	The clip path. If given a `.Path`, transform must be provided as
	well. If None, a previously set clip path is removed.
	transform : `~matplotlib.transforms.Transform`, optional
	Only used if path is a `.Path`, in which case the given `.Path`
	is converted to a `.TransformedPath` using transform.

	Notes
	-----
	For efficiency, if path is a `.Rectangle` this method will set the
	clipping box to the corresponding rectangle and set the clipping path
	to ``None``.

	For technical reasons (support of `~.Artist.set`), a tuple
	(path, transform) is also accepted as a single positional
	parameter.

	.. ACCEPTS: Patch or (Path, Transform) or None
	"""
	from matplotlib.patches import Patch, Rectangle

	success = False
	if transform is None:
	if isinstance(path, Rectangle):
	self.clipbox = TransformedBbox(Bbox.unit(),
	path.get_transform())
	self._clippath = None
	success = True
	elif isinstance(path, Patch):
	self._clippath = TransformedPatchPath(path)
	success = True
	elif isinstance(path, tuple):
	path, transform = path

	if path is None:
	self._clippath = None
	success = True
	elif isinstance(path, Path):
	self._clippath = TransformedPath(path, transform)
	success = True
	elif isinstance(path, TransformedPatchPath):
	self._clippath = path
	success = True
	elif isinstance(path, TransformedPath):
	self._clippath = path
	success = True

	if not success:
	raise TypeError(
	"Invalid arguments to set_clip_path, of type "
	f"{type(path).__name__} and {type(transform).__name__}")
	# This may result in the callbacks being hit twice, but guarantees they
	# will be hit at least once.
	self.pchanged()
	self.stale = True

	def get_alpha(self):
	"""
	Return the alpha value used for blending - not supported on all
	backends.
	"""
	return self._alpha

	def get_visible(self):
	"""Return the visibility."""
	return self._visible

	def get_animated(self):
	"""Return whether the artist is animated."""
	return self._animated

	def get_in_layout(self):
	"""
	Return boolean flag, ``True`` if artist is included in layout
	calculations.

	E.g. :ref:`constrainedlayout_guide`,
	`.Figure.tight_layout()`, and
	``fig.savefig(fname, bbox_inches='tight')``.
	"""
	return self._in_layout

	def _fully_clipped_to_axes(self):
	"""
	Return a boolean flag, ``True`` if the artist is clipped to the Axes
	and can thus be skipped in layout calculations. Requires `get_clip_on`
	is True, one of `clip_box` or `clip_path` is set, ``clip_box.extents``
	is equivalent to ``ax.bbox.extents`` (if set), and ``clip_path._patch``
	is equivalent to ``ax.patch`` (if set).
	"""
	# Note that ``clip_path.get_fully_transformed_path().get_extents()``
	# cannot be directly compared to ``axes.bbox.extents`` because the
	# extents may be undefined (i.e. equivalent to ``Bbox.null()``)
	# before the associated artist is drawn, and this method is meant
	# to determine whether ``axes.get_tightbbox()`` may bypass drawing
	clip_box = self.get_clip_box()
	clip_path = self.get_clip_path()
	return (self.axes is not None
	and self.get_clip_on()
	and (clip_box is not None or clip_path is not None)
	and (clip_box is None
	or np.all(clip_box.extents == self.axes.bbox.extents))
	and (clip_path is None
	or isinstance(clip_path, TransformedPatchPath)
	and clip_path._patch is self.axes.patch))

	def get_clip_on(self):
	"""Return whether the artist uses clipping."""
	return self._clipon

	def get_clip_box(self):
	"""Return the clipbox."""
	return self.clipbox

	def get_clip_path(self):
	"""Return the clip path."""
	return self._clippath

	def get_transformed_clip_path_and_affine(self):
	"""
	Return the clip path with the non-affine part of its
	transformation applied, and the remaining affine part of its
	transformation.
	"""
	if self._clippath is not None:
	return self._clippath.get_transformed_path_and_affine()
	return None, None

	def set_clip_on(self, b):
	"""
	Set whether the artist uses clipping.

	When False, artists will be visible outside the Axes which
	can lead to unexpected results.

	Parameters
	----------
	b : bool
	"""
	self._clipon = b
	# This may result in the callbacks being hit twice, but ensures they
	# are hit at least once
	self.pchanged()
	self.stale = True

	def _set_gc_clip(self, gc):
	"""Set the clip properly for the gc."""
	if self._clipon:
	if self.clipbox is not None:
	gc.set_clip_rectangle(self.clipbox)
	gc.set_clip_path(self._clippath)
	else:
	gc.set_clip_rectangle(None)
	gc.set_clip_path(None)

	def get_rasterized(self):
	"""Return whether the artist is to be rasterized."""
	return self._rasterized

	def set_rasterized(self, rasterized):
	"""
	Force rasterized (bitmap) drawing for vector graphics output.

	Rasterized drawing is not supported by all artists. If you try to
	enable this on an artist that does not support it, the command has no
	effect and a warning will be issued.

	This setting is ignored for pixel-based output.

	See also :doc:`/gallery/misc/rasterization_demo`.

	Parameters
	----------
	rasterized : bool
	"""
	supports_rasterization = getattr(self.draw,
	"_supports_rasterization", False)
	if rasterized and not supports_rasterization:
	_api.warn_external(f"Rasterization of '{self}' will be ignored")

	self._rasterized = rasterized

	def get_agg_filter(self):
	"""Return filter function to be used for agg filter."""
	return self._agg_filter

	def set_agg_filter(self, filter_func):
	"""
	Set the agg filter.

	Parameters
	----------
	filter_func : callable
	A filter function, which takes a (m, n, depth) float array
	and a dpi value, and returns a (m, n, depth) array and two
	offsets from the bottom left corner of the image

	.. ACCEPTS: a filter function, which takes a (m, n, 3) float array
	and a dpi value, and returns a (m, n, 3) array and two offsets
	from the bottom left corner of the image
	"""
	self._agg_filter = filter_func
	self.stale = True

	def draw(self, renderer):
	"""
	Draw the Artist (and its children) using the given renderer.

	This has no effect if the artist is not visible (`.Artist.get_visible`
	returns False).

	Parameters
	----------
	renderer : `~matplotlib.backend_bases.RendererBase` subclass.

	Notes
	-----
	This method is overridden in the Artist subclasses.
	"""
	if not self.get_visible():
	return
	self.stale = False

	def set_alpha(self, alpha):
	"""
	Set the alpha value used for blending - not supported on all backends.

	Parameters
	----------
	alpha : float or None
	alpha must be within the 0-1 range, inclusive.
	"""
	if alpha is not None and not isinstance(alpha, Real):
	raise TypeError(
	f'alpha must be numeric or None, not {type(alpha)}')
	if alpha is not None and not (0 <= alpha <= 1):
	raise ValueError(f'alpha ({alpha}) is outside 0-1 range')
	if alpha != self._alpha:
	self._alpha = alpha
	self.pchanged()
	self.stale = True

	def _set_alpha_for_array(self, alpha):
	"""
	Set the alpha value used for blending - not supported on all backends.

	Parameters
	----------
	alpha : array-like or float or None
	All values must be within the 0-1 range, inclusive.
	Masked values and nans are not supported.
	"""
	if isinstance(alpha, str):
	raise TypeError("alpha must be numeric or None, not a string")
	if not np.iterable(alpha):
	Artist.set_alpha(self, alpha)
	return
	alpha = np.asarray(alpha)
	if not (0 <= alpha.min() and alpha.max() <= 1):
	raise ValueError('alpha must be between 0 and 1, inclusive, '
	f'but min is {alpha.min()}, max is {alpha.max()}')
	self._alpha = alpha
	self.pchanged()
	self.stale = True

	def set_visible(self, b):
	"""
	Set the artist's visibility.

	Parameters
	----------
	b : bool
	"""
	if b != self._visible:
	self._visible = b
	self.pchanged()
	self.stale = True

	def set_animated(self, b):
	"""
	Set whether the artist is intended to be used in an animation.

	If True, the artist is excluded from regular drawing of the figure.
	You have to call `.Figure.draw_artist` / `.Axes.draw_artist`
	explicitly on the artist. This approach is used to speed up animations
	using blitting.

	See also `matplotlib.animation` and
	:ref:`blitting`.

	Parameters
	----------
	b : bool
	"""
	if self._animated != b:
	self._animated = b
	self.pchanged()

	def set_in_layout(self, in_layout):
	"""
	Set if artist is to be included in layout calculations,
	E.g. :ref:`constrainedlayout_guide`,
	`.Figure.tight_layout()`, and
	``fig.savefig(fname, bbox_inches='tight')``.

	Parameters
	----------
	in_layout : bool
	"""
	self._in_layout = in_layout

	def get_label(self):
	"""Return the label used for this artist in the legend."""
	return self._label

	def set_label(self, s):
	"""
	Set a label that will be displayed in the legend.

	Parameters
	----------
	s : object
	s will be converted to a string by calling `str`.
	"""
	label = str(s) if s is not None else None
	if label != self._label:
	self._label = label
	self.pchanged()
	self.stale = True

	def get_zorder(self):
	"""Return the artist's zorder."""
	return self.zorder

	def set_zorder(self, level):
	"""
	Set the zorder for the artist. Artists with lower zorder
	values are drawn first.

	Parameters
	----------
	level : float
	"""
	if level is None:
	level = self.__class__.zorder
	if level != self.zorder:
	self.zorder = level
	self.pchanged()
	self.stale = True

	@property
	def sticky_edges(self):
	"""
	``x`` and ``y`` sticky edge lists for autoscaling.

	When performing autoscaling, if a data limit coincides with a value in
	the corresponding sticky_edges list, then no margin will be added--the
	view limit "sticks" to the edge. A typical use case is histograms,
	where one usually expects no margin on the bottom edge (0) of the
	histogram.

	Moreover, margin expansion "bumps" against sticky edges and cannot
	cross them. For example, if the upper data limit is 1.0, the upper
	view limit computed by simple margin application is 1.2, but there is a
	sticky edge at 1.1, then the actual upper view limit will be 1.1.

	This attribute cannot be assigned to; however, the ``x`` and ``y``
	lists can be modified in place as needed.

	Examples
	--------
	>>> artist.sticky_edges.x[:] = (xmin, xmax)
	>>> artist.sticky_edges.y[:] = (ymin, ymax)

	"""
	return self._sticky_edges

	def update_from(self, other):
	"""Copy properties from other to self."""
	self._transform = other._transform
	self._transformSet = other._transformSet
	self._visible = other._visible
	self._alpha = other._alpha
	self.clipbox = other.clipbox
	self._clipon = other._clipon
	self._clippath = other._clippath
	self._label = other._label
	self._sketch = other._sketch
	self._path_effects = other._path_effects
	self.sticky_edges.x[:] = other.sticky_edges.x.copy()
	self.sticky_edges.y[:] = other.sticky_edges.y.copy()
	self.pchanged()
	self.stale = True

	def properties(self):
	"""Return a dictionary of all the properties of the artist."""
	return ArtistInspector(self).properties()

	def _update_props(self, props, errfmt):
	"""
	Helper for `.Artist.set` and `.Artist.update`.

	errfmt is used to generate error messages for invalid property
	names; it gets formatted with ``type(self)`` for "{cls}" and the
	property name for "{prop_name}".
	"""
	ret = []
	with cbook._setattr_cm(self, eventson=False):
	for k, v in props.items():
	# Allow attributes we want to be able to update through
	# art.update, art.set, setp.
	if k == "axes":
	ret.append(setattr(self, k, v))
	else:
	func = getattr(self, f"set_{k}", None)
	if not callable(func):
	raise AttributeError(
	errfmt.format(cls=type(self), prop_name=k),
	name=k)
	ret.append(func(v))
	if ret:
	self.pchanged()
	self.stale = True
	return ret

	def update(self, props):
	"""
	Update this artist's properties from the dict props.

	Parameters
	----------
	props : dict
	"""
	return self._update_props(
	props, "{cls.__name__!r} object has no property {prop_name!r}")

	def _internal_update(self, kwargs):
	"""
	Update artist properties without prenormalizing them, but generating
	errors as if calling `set`.

	The lack of prenormalization is to maintain backcompatibility.
	"""
	return self._update_props(
	kwargs, "{cls.__name__}.set() got an unexpected keyword argument "
	"{prop_name!r}")

	def set(self, **kwargs):
	# docstring and signature are auto-generated via
	# Artist._update_set_signature_and_docstring() at the end of the
	# module.
	return self._internal_update(cbook.normalize_kwargs(kwargs, self))

	@contextlib.contextmanager
	def _cm_set(self, **kwargs):
	"""
	`.Artist.set` context-manager that restores original values at exit.
	"""
	orig_vals = {k: getattr(self, f"get_{k}")() for k in kwargs}
	try:
	self.set(**kwargs)
	yield
	finally:
	self.set(**orig_vals)

	def findobj(self, match=None, include_self=True):
	"""
	Find artist objects.

	Recursively find all `.Artist` instances contained in the artist.

	Parameters
	----------
	match
	A filter criterion for the matches. This can be

	- None: Return all objects contained in artist.
	- A function with signature ``def match(artist: Artist) -> bool``.
	The result will only contain artists for which the function
	returns True.
	- A class instance: e.g., `.Line2D`. The result will only contain
	artists of this class or its subclasses (``isinstance`` check).

	include_self : bool
	Include self in the list to be checked for a match.

	Returns
	-------
	list of `.Artist`

	"""
	if match is None: # always return True
	def matchfunc(x):
	return True
	elif isinstance(match, type) and issubclass(match, Artist):
	def matchfunc(x):
	return isinstance(x, match)
	elif callable(match):
	matchfunc = match
	else:
	raise ValueError('match must be None, a matplotlib.artist.Artist '
	'subclass, or a callable')

	artists = reduce(operator.iadd,
	[c.findobj(matchfunc) for c in self.get_children()], [])
	if include_self and matchfunc(self):
	artists.append(self)
	return artists

	def get_cursor_data(self, event):
	"""
	Return the cursor data for a given event.

	.. note::
	This method is intended to be overridden by artist subclasses.
	As an end-user of Matplotlib you will most likely not call this
	method yourself.

	Cursor data can be used by Artists to provide additional context
	information for a given event. The default implementation just returns
	None.

	Subclasses can override the method and return arbitrary data. However,
	when doing so, they must ensure that `.format_cursor_data` can convert
	the data to a string representation.

	The only current use case is displaying the z-value of an `.AxesImage`
	in the status bar of a plot window, while moving the mouse.

	Parameters
	----------
	event : `~matplotlib.backend_bases.MouseEvent`

	See Also
	--------
	format_cursor_data

	"""
	return None

	def format_cursor_data(self, data):
	"""
	Return a string representation of data.

	.. note::
	This method is intended to be overridden by artist subclasses.
	As an end-user of Matplotlib you will most likely not call this
	method yourself.

	The default implementation converts ints and floats and arrays of ints
	and floats into a comma-separated string enclosed in square brackets,
	unless the artist has an associated colorbar, in which case scalar
	values are formatted using the colorbar's formatter.

	See Also
	--------
	get_cursor_data
	"""
	if np.ndim(data) == 0 and hasattr(self, "_format_cursor_data_override"):
	# workaround for ScalarMappable to be able to define its own
	# format_cursor_data(). See ScalarMappable._format_cursor_data_override
	# for details.
	return self._format_cursor_data_override(data)
	else:
	try:
	data[0]
	except (TypeError, IndexError):
	data = [data]
	data_str = ', '.join(f'{item:0.3g}' for item in data
	if isinstance(item, Number))
	return "[" + data_str + "]"

	def get_mouseover(self):
	"""
	Return whether this artist is queried for custom context information
	when the mouse cursor moves over it.
	"""
	return self._mouseover

	def set_mouseover(self, mouseover):
	"""
	Set whether this artist is queried for custom context information when
	the mouse cursor moves over it.

	Parameters
	----------
	mouseover : bool

	See Also
	--------
	get_cursor_data
	.ToolCursorPosition
	.NavigationToolbar2
	"""
	self._mouseover = bool(mouseover)
	ax = self.axes
	if ax:
	if self._mouseover:
	ax._mouseover_set.add(self)
	else:
	ax._mouseover_set.discard(self)

	mouseover = property(get_mouseover, set_mouseover) # backcompat.


	def _get_tightbbox_for_layout_only(obj, args, *kwargs):
	"""
	Matplotlib's `.Axes.get_tightbbox` and `.Axis.get_tightbbox` support a
	for_layout_only kwarg; this helper tries to use the kwarg but skips it
	when encountering third-party subclasses that do not support it.
	"""
	try:
	return obj.get_tightbbox(args, {*kwargs, "for_layout_only": True})
	except TypeError:
	return obj.get_tightbbox(args, *kwargs)


	class ArtistInspector:
	"""
	A helper class to inspect an `~matplotlib.artist.Artist` and return
	information about its settable properties and their current values.
	"""

	def __init__(self, o):
	r"""
	Initialize the artist inspector with an `Artist` or an iterable of
	`Artist`\s. If an iterable is used, we assume it is a homogeneous
	sequence (all `Artist`\s are of the same type) and it is your
	responsibility to make sure this is so.
	"""
	if not isinstance(o, Artist):
	if np.iterable(o):
	o = list(o)
	if len(o):
	o = o[0]

	self.oorig = o
	if not isinstance(o, type):
	o = type(o)
	self.o = o

	self.aliasd = self.get_aliases()

	def get_aliases(self):
	"""
	Get a dict mapping property fullnames to sets of aliases for each alias
	in the :class:`~matplotlib.artist.ArtistInspector`.

	e.g., for lines::

	{'markerfacecolor': {'mfc'},
	'linewidth' : {'lw'},
	}
	"""
	names = [name for name in dir(self.o)
	if name.startswith(('set_', 'get_'))
	and callable(getattr(self.o, name))]
	aliases = {}
	for name in names:
	func = getattr(self.o, name)
	if not self.is_alias(func):
	continue
	propname = re.search(f"`({name[:4]}.)`", # get_./set_.*
	inspect.getdoc(func)).group(1)
	aliases.setdefault(propname[4:], set()).add(name[4:])
	return aliases

	_get_valid_values_regex = re.compile(
	r"\n\s(?:\.\.\s+)?ACCEPTS:\s((?:.\|\n)*?)(?:$\|(?:\n\n))"
	)

	def get_valid_values(self, attr):
	"""
	Get the legal arguments for the setter associated with attr.

	This is done by querying the docstring of the setter for a line that
	begins with "ACCEPTS:" or ".. ACCEPTS:", and then by looking for a
	numpydoc-style documentation for the setter's first argument.
	"""

	name = 'set_%s' % attr
	if not hasattr(self.o, name):
	raise AttributeError(f'{self.o} has no function {name}')
	func = getattr(self.o, name)

	if hasattr(func, '_kwarg_doc'):
	return func._kwarg_doc

	docstring = inspect.getdoc(func)
	if docstring is None:
	return 'unknown'

	if docstring.startswith('Alias for '):
	return None

	match = self._get_valid_values_regex.search(docstring)
	if match is not None:
	return re.sub("\n *", " ", match.group(1))

	# Much faster than list(inspect.signature(func).parameters)[1],
	# although barely relevant wrt. matplotlib's total import time.
	param_name = func.__code__.co_varnames[1]
	# We could set the presence * based on whether the parameter is a
	# varargs (it can't be a varkwargs) but it's not really worth it.
	match = re.search(fr"(?m)^ \?{param_name} : (.+)", docstring)
	if match:
	return match.group(1)

	return 'unknown'

	def _replace_path(self, source_class):
	"""
	Changes the full path to the public API path that is used
	in sphinx. This is needed for links to work.
	"""
	replace_dict = {'_base._AxesBase': 'Axes',
	'_axes.Axes': 'Axes'}
	for key, value in replace_dict.items():
	source_class = source_class.replace(key, value)
	return source_class

	def get_setters(self):
	"""
	Get the attribute strings with setters for object.

	For example, for a line, return ``['markerfacecolor', 'linewidth',
	....]``.
	"""
	setters = []
	for name in dir(self.o):
	if not name.startswith('set_'):
	continue
	func = getattr(self.o, name)
	if (not callable(func)
	or self.number_of_parameters(func) < 2
	or self.is_alias(func)):
	continue
	setters.append(name[4:])
	return setters

	@staticmethod
	@cache
	def number_of_parameters(func):
	"""Return number of parameters of the callable func."""
	return len(inspect.signature(func).parameters)

	@staticmethod
	@cache
	def is_alias(method):
	"""
	Return whether the object method is an alias for another method.
	"""

	ds = inspect.getdoc(method)
	if ds is None:
	return False

	return ds.startswith('Alias for ')

	def aliased_name(self, s):
	"""
	Return 'PROPNAME or alias' if s has an alias, else return 'PROPNAME'.

	For example, for the line markerfacecolor property, which has an
	alias, return 'markerfacecolor or mfc' and for the transform
	property, which does not, return 'transform'.
	"""
	aliases = ''.join(' or %s' % x for x in sorted(self.aliasd.get(s, [])))
	return s + aliases

	_NOT_LINKABLE = {
	# A set of property setter methods that are not available in our
	# current docs. This is a workaround used to prevent trying to link
	# these setters which would lead to "target reference not found"
	# warnings during doc build.
	'matplotlib.image._ImageBase.set_alpha',
	'matplotlib.image._ImageBase.set_array',
	'matplotlib.image._ImageBase.set_data',
	'matplotlib.image._ImageBase.set_filternorm',
	'matplotlib.image._ImageBase.set_filterrad',
	'matplotlib.image._ImageBase.set_interpolation',
	'matplotlib.image._ImageBase.set_interpolation_stage',
	'matplotlib.image._ImageBase.set_resample',
	'matplotlib.text._AnnotationBase.set_annotation_clip',
	}

	def aliased_name_rest(self, s, target):
	"""
	Return 'PROPNAME or alias' if s has an alias, else return 'PROPNAME',
	formatted for reST.

	For example, for the line markerfacecolor property, which has an
	alias, return 'markerfacecolor or mfc' and for the transform
	property, which does not, return 'transform'.
	"""
	# workaround to prevent "reference target not found"
	if target in self._NOT_LINKABLE:
	return f'``{s}``'

	aliases = ''.join(
	f' or :meth:`{a} <{target}>`' for a in sorted(self.aliasd.get(s, [])))
	return f':meth:`{s} <{target}>`{aliases}'

	def pprint_setters(self, prop=None, leadingspace=2):
	"""
	If prop is None, return a list of strings of all settable
	properties and their valid values.

	If prop is not None, it is a valid property name and that
	property will be returned as a string of property : valid
	values.
	"""
	if leadingspace:
	pad = ' ' * leadingspace
	else:
	pad = ''
	if prop is not None:
	accepts = self.get_valid_values(prop)
	return f'{pad}{prop}: {accepts}'

	lines = []
	for prop in sorted(self.get_setters()):
	accepts = self.get_valid_values(prop)
	name = self.aliased_name(prop)
	lines.append(f'{pad}{name}: {accepts}')
	return lines

	def pprint_setters_rest(self, prop=None, leadingspace=4):
	"""
	If prop is None, return a list of reST-formatted strings of all
	settable properties and their valid values.

	If prop is not None, it is a valid property name and that
	property will be returned as a string of "property : valid"
	values.
	"""
	if leadingspace:
	pad = ' ' * leadingspace
	else:
	pad = ''
	if prop is not None:
	accepts = self.get_valid_values(prop)
	return f'{pad}{prop}: {accepts}'

	prop_and_qualnames = []
	for prop in sorted(self.get_setters()):
	# Find the parent method which actually provides the docstring.
	for cls in self.o.__mro__:
	method = getattr(cls, f"set_{prop}", None)
	if method and method.__doc__ is not None:
	break
	else: # No docstring available.
	method = getattr(self.o, f"set_{prop}")
	prop_and_qualnames.append(
	(prop, f"{method.__module__}.{method.__qualname__}"))

	names = [self.aliased_name_rest(prop, target)
	.replace('_base._AxesBase', 'Axes')
	.replace('_axes.Axes', 'Axes')
	for prop, target in prop_and_qualnames]
	accepts = [self.get_valid_values(prop)
	for prop, _ in prop_and_qualnames]

	col0_len = max(len(n) for n in names)
	col1_len = max(len(a) for a in accepts)
	table_formatstr = pad + ' ' + '=' * col0_len + ' ' + '=' * col1_len

	return [
	'',
	pad + '.. table::',
	pad + ' :class: property-table',
	'',
	table_formatstr,
	pad + ' ' + 'Property'.ljust(col0_len)
	+ ' ' + 'Description'.ljust(col1_len),
	table_formatstr,
	*[pad + ' ' + n.ljust(col0_len) + ' ' + a.ljust(col1_len)
	for n, a in zip(names, accepts)],
	table_formatstr,
	'',
	]

	def properties(self):
	"""Return a dictionary mapping property name -> value."""
	o = self.oorig
	getters = [name for name in dir(o)
	if name.startswith('get_') and callable(getattr(o, name))]
	getters.sort()
	d = {}
	for name in getters:
	func = getattr(o, name)
	if self.is_alias(func):
	continue
	try:
	with warnings.catch_warnings():
	warnings.simplefilter('ignore')
	val = func()
	except Exception:
	continue
	else:
	d[name[4:]] = val
	return d

	def pprint_getters(self):
	"""Return the getters and actual values as list of strings."""
	lines = []
	for name, val in sorted(self.properties().items()):
	if getattr(val, 'shape', ()) != () and len(val) > 6:
	s = str(val[:6]) + '...'
	else:
	s = str(val)
	s = s.replace('\n', ' ')
	if len(s) > 50:
	s = s[:50] + '...'
	name = self.aliased_name(name)
	lines.append(f' {name} = {s}')
	return lines


	def getp(obj, property=None):
	"""
	Return the value of an `.Artist`'s property, or print all of them.

	Parameters
	----------
	obj : `~matplotlib.artist.Artist`
	The queried artist; e.g., a `.Line2D`, a `.Text`, or an `~.axes.Axes`.

	property : str or None, default: None
	If property is 'somename', this function returns
	``obj.get_somename()``.

	If it's None (or unset), it prints all gettable properties from
	obj. Many properties have aliases for shorter typing, e.g. 'lw' is
	an alias for 'linewidth'. In the output, aliases and full property
	names will be listed as:

	property or alias = value

	e.g.:

	linewidth or lw = 2

	See Also
	--------
	setp
	"""
	if property is None:
	insp = ArtistInspector(obj)
	ret = insp.pprint_getters()
	print('\n'.join(ret))
	return
	return getattr(obj, 'get_' + property)()

	# alias
	get = getp


	def setp(obj, args, file=None, *kwargs):
	"""
	Set one or more properties on an `.Artist`, or list allowed values.

	Parameters
	----------
	obj : `~matplotlib.artist.Artist` or list of `.Artist`
	The artist(s) whose properties are being set or queried. When setting
	properties, all artists are affected; when querying the allowed values,
	only the first instance in the sequence is queried.

	For example, two lines can be made thicker and red with a single call:

	>>> x = arange(0, 1, 0.01)
	>>> lines = plot(x, sin(2pix), x, sin(4pix))
	>>> setp(lines, linewidth=2, color='r')

	file : file-like, default: `sys.stdout`
	Where `setp` writes its output when asked to list allowed values.

	>>> with open('output.log') as file:
	... setp(line, file=file)

	The default, ``None``, means `sys.stdout`.

	args, *kwargs
	The properties to set. The following combinations are supported:

	- Set the linestyle of a line to be dashed:

	>>> line, = plot([1, 2, 3])
	>>> setp(line, linestyle='--')

	- Set multiple properties at once:

	>>> setp(line, linewidth=2, color='r')

	- List allowed values for a line's linestyle:

	>>> setp(line, 'linestyle')
	linestyle: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}

	- List all properties that can be set, and their allowed values:

	>>> setp(line)
	agg_filter: a filter function, ...
	[long output listing omitted]

	`setp` also supports MATLAB style string/value pairs. For example, the
	following are equivalent:

	>>> setp(lines, 'linewidth', 2, 'color', 'r') # MATLAB style
	>>> setp(lines, linewidth=2, color='r') # Python style

	See Also
	--------
	getp
	"""

	if isinstance(obj, Artist):
	objs = [obj]
	else:
	objs = list(cbook.flatten(obj))

	if not objs:
	return

	insp = ArtistInspector(objs[0])

	if not kwargs and len(args) < 2:
	if args:
	print(insp.pprint_setters(prop=args[0]), file=file)
	else:
	print('\n'.join(insp.pprint_setters()), file=file)
	return

	if len(args) % 2:
	raise ValueError('The set args must be string, value pairs')

	funcvals = dict(zip(args[::2], args[1::2]))
	ret = [o.update(funcvals) for o in objs] + [o.set(**kwargs) for o in objs]
	return list(cbook.flatten(ret))


	def kwdoc(artist):
	r"""
	Inspect an `~matplotlib.artist.Artist` class (using `.ArtistInspector`) and
	return information about its settable properties and their current values.

	Parameters
	----------
	artist : `~matplotlib.artist.Artist` or an iterable of `Artist`\s

	Returns
	-------
	str
	The settable properties of artist, as plain text if
	:rc:`docstring.hardcopy` is False and as a rst table (intended for
	use in Sphinx) if it is True.
	"""
	ai = ArtistInspector(artist)
	return ('\n'.join(ai.pprint_setters_rest(leadingspace=4))
	if mpl.rcParams['docstring.hardcopy'] else
	'Properties:\n' + '\n'.join(ai.pprint_setters(leadingspace=4)))

	# We defer this to the end of them module, because it needs ArtistInspector
	# to be defined.
	Artist._update_set_signature_and_docstring()

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