288 lines
9.2 KiB
Python
288 lines
9.2 KiB
Python
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import io
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from itertools import chain
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import warnings
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import numpy as np
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import pytest
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import matplotlib.pyplot as plt
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import matplotlib.patches as mpatches
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import matplotlib.lines as mlines
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import matplotlib.path as mpath
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import matplotlib.transforms as mtransforms
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import matplotlib.collections as mcollections
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import matplotlib.artist as martist
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from matplotlib.testing.decorators import image_comparison
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def test_patch_transform_of_none():
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# tests the behaviour of patches added to an Axes with various transform
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# specifications
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ax = plt.axes()
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ax.set_xlim([1, 3])
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ax.set_ylim([1, 3])
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# Draw an ellipse over data coord (2, 2) by specifying device coords.
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xy_data = (2, 2)
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xy_pix = ax.transData.transform(xy_data)
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# Not providing a transform of None puts the ellipse in data coordinates .
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e = mpatches.Ellipse(xy_data, width=1, height=1, fc='yellow', alpha=0.5)
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ax.add_patch(e)
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assert e._transform == ax.transData
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# Providing a transform of None puts the ellipse in device coordinates.
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e = mpatches.Ellipse(xy_pix, width=120, height=120, fc='coral',
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transform=None, alpha=0.5)
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assert e.is_transform_set()
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ax.add_patch(e)
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assert isinstance(e._transform, mtransforms.IdentityTransform)
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# Providing an IdentityTransform puts the ellipse in device coordinates.
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e = mpatches.Ellipse(xy_pix, width=100, height=100,
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transform=mtransforms.IdentityTransform(), alpha=0.5)
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ax.add_patch(e)
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assert isinstance(e._transform, mtransforms.IdentityTransform)
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# Not providing a transform, and then subsequently "get_transform" should
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# not mean that "is_transform_set".
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e = mpatches.Ellipse(xy_pix, width=120, height=120, fc='coral',
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alpha=0.5)
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intermediate_transform = e.get_transform()
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assert not e.is_transform_set()
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ax.add_patch(e)
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assert e.get_transform() != intermediate_transform
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assert e.is_transform_set()
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assert e._transform == ax.transData
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def test_collection_transform_of_none():
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# tests the behaviour of collections added to an Axes with various
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# transform specifications
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ax = plt.axes()
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ax.set_xlim([1, 3])
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ax.set_ylim([1, 3])
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# draw an ellipse over data coord (2, 2) by specifying device coords
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xy_data = (2, 2)
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xy_pix = ax.transData.transform(xy_data)
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# not providing a transform of None puts the ellipse in data coordinates
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e = mpatches.Ellipse(xy_data, width=1, height=1)
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c = mcollections.PatchCollection([e], facecolor='yellow', alpha=0.5)
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ax.add_collection(c)
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# the collection should be in data coordinates
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assert c.get_offset_transform() + c.get_transform() == ax.transData
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# providing a transform of None puts the ellipse in device coordinates
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e = mpatches.Ellipse(xy_pix, width=120, height=120)
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c = mcollections.PatchCollection([e], facecolor='coral',
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alpha=0.5)
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c.set_transform(None)
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ax.add_collection(c)
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assert isinstance(c.get_transform(), mtransforms.IdentityTransform)
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# providing an IdentityTransform puts the ellipse in device coordinates
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e = mpatches.Ellipse(xy_pix, width=100, height=100)
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c = mcollections.PatchCollection([e],
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transform=mtransforms.IdentityTransform(),
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alpha=0.5)
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ax.add_collection(c)
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assert isinstance(c._transOffset, mtransforms.IdentityTransform)
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@image_comparison(["clip_path_clipping"], remove_text=True)
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def test_clipping():
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exterior = mpath.Path.unit_rectangle().deepcopy()
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exterior.vertices *= 4
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exterior.vertices -= 2
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interior = mpath.Path.unit_circle().deepcopy()
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interior.vertices = interior.vertices[::-1]
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clip_path = mpath.Path(vertices=np.concatenate([exterior.vertices,
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interior.vertices]),
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codes=np.concatenate([exterior.codes,
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interior.codes]))
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star = mpath.Path.unit_regular_star(6).deepcopy()
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star.vertices *= 2.6
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ax1 = plt.subplot(121)
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col = mcollections.PathCollection([star], lw=5, edgecolor='blue',
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facecolor='red', alpha=0.7, hatch='*')
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col.set_clip_path(clip_path, ax1.transData)
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ax1.add_collection(col)
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ax2 = plt.subplot(122, sharex=ax1, sharey=ax1)
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patch = mpatches.PathPatch(star, lw=5, edgecolor='blue', facecolor='red',
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alpha=0.7, hatch='*')
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patch.set_clip_path(clip_path, ax2.transData)
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ax2.add_patch(patch)
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ax1.set_xlim([-3, 3])
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ax1.set_ylim([-3, 3])
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def test_cull_markers():
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x = np.random.random(20000)
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y = np.random.random(20000)
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fig, ax = plt.subplots()
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ax.plot(x, y, 'k.')
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ax.set_xlim(2, 3)
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pdf = io.BytesIO()
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fig.savefig(pdf, format="pdf")
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assert len(pdf.getvalue()) < 8000
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svg = io.BytesIO()
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fig.savefig(svg, format="svg")
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assert len(svg.getvalue()) < 20000
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@image_comparison(['hatching'], remove_text=True, style='default')
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def test_hatching():
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fig, ax = plt.subplots(1, 1)
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# Default hatch color.
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rect1 = mpatches.Rectangle((0, 0), 3, 4, hatch='/')
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ax.add_patch(rect1)
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rect2 = mcollections.RegularPolyCollection(4, sizes=[16000],
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offsets=[(1.5, 6.5)],
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transOffset=ax.transData,
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hatch='/')
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ax.add_collection(rect2)
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# Ensure edge color is not applied to hatching.
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rect3 = mpatches.Rectangle((4, 0), 3, 4, hatch='/', edgecolor='C1')
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ax.add_patch(rect3)
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rect4 = mcollections.RegularPolyCollection(4, sizes=[16000],
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offsets=[(5.5, 6.5)],
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transOffset=ax.transData,
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hatch='/', edgecolor='C1')
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ax.add_collection(rect4)
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ax.set_xlim(0, 7)
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ax.set_ylim(0, 9)
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def test_remove():
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fig, ax = plt.subplots()
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im = ax.imshow(np.arange(36).reshape(6, 6))
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ln, = ax.plot(range(5))
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assert fig.stale
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assert ax.stale
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fig.canvas.draw()
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assert not fig.stale
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assert not ax.stale
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assert not ln.stale
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assert im in ax._mouseover_set
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assert ln not in ax._mouseover_set
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assert im.axes is ax
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im.remove()
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ln.remove()
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for art in [im, ln]:
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assert art.axes is None
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assert art.figure is None
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assert im not in ax._mouseover_set
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assert fig.stale
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assert ax.stale
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@image_comparison(["default_edges.png"], remove_text=True, style='default')
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def test_default_edges():
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# Remove this line when this test image is regenerated.
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plt.rcParams['text.kerning_factor'] = 6
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fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2)
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ax1.plot(np.arange(10), np.arange(10), 'x',
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np.arange(10) + 1, np.arange(10), 'o')
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ax2.bar(np.arange(10), np.arange(10), align='edge')
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ax3.text(0, 0, "BOX", size=24, bbox=dict(boxstyle='sawtooth'))
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ax3.set_xlim((-1, 1))
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ax3.set_ylim((-1, 1))
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pp1 = mpatches.PathPatch(
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mpath.Path([(0, 0), (1, 0), (1, 1), (0, 0)],
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[mpath.Path.MOVETO, mpath.Path.CURVE3,
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mpath.Path.CURVE3, mpath.Path.CLOSEPOLY]),
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fc="none", transform=ax4.transData)
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ax4.add_patch(pp1)
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def test_properties():
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ln = mlines.Line2D([], [])
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with warnings.catch_warnings(record=True) as w:
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# Cause all warnings to always be triggered.
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warnings.simplefilter("always")
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ln.properties()
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assert len(w) == 0
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def test_setp():
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# Check empty list
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plt.setp([])
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plt.setp([[]])
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# Check arbitrary iterables
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fig, ax = plt.subplots()
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lines1 = ax.plot(range(3))
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lines2 = ax.plot(range(3))
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martist.setp(chain(lines1, lines2), 'lw', 5)
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plt.setp(ax.spines.values(), color='green')
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# Check *file* argument
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sio = io.StringIO()
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plt.setp(lines1, 'zorder', file=sio)
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assert sio.getvalue() == ' zorder: float\n'
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def test_None_zorder():
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fig, ax = plt.subplots()
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ln, = ax.plot(range(5), zorder=None)
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assert ln.get_zorder() == mlines.Line2D.zorder
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ln.set_zorder(123456)
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assert ln.get_zorder() == 123456
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ln.set_zorder(None)
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assert ln.get_zorder() == mlines.Line2D.zorder
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@pytest.mark.parametrize('accept_clause, expected', [
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('', 'unknown'),
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("ACCEPTS: [ '-' | '--' | '-.' ]", "[ '-' | '--' | '-.' ]"),
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('ACCEPTS: Some description.', 'Some description.'),
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('.. ACCEPTS: Some description.', 'Some description.'),
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('arg : int', 'int'),
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('*arg : int', 'int'),
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('arg : int\nACCEPTS: Something else.', 'Something else. '),
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])
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def test_artist_inspector_get_valid_values(accept_clause, expected):
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class TestArtist(martist.Artist):
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def set_f(self, arg):
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pass
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TestArtist.set_f.__doc__ = """
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Some text.
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%s
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""" % accept_clause
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valid_values = martist.ArtistInspector(TestArtist).get_valid_values('f')
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assert valid_values == expected
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def test_artist_inspector_get_aliases():
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# test the correct format and type of get_aliases method
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ai = martist.ArtistInspector(mlines.Line2D)
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aliases = ai.get_aliases()
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assert aliases["linewidth"] == {"lw"}
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