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Commit d99722e

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jklymakjklymak
authored
Merge pull request #11666 from ksunden/aarch64_tests
TESTS: Increase tolerance for aarch64 tests
2 parents ac97e14 + 6f30168 commit d99722e
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13 files changed

+38
-6
lines changed

‎lib/matplotlib/tests/test_arrow_patches.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_arrow_patches.py
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import pytest
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import platform
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import matplotlib.pyplot as plt
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from matplotlib.testing.decorators import image_comparison
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import matplotlib.patches as mpatches
@@ -68,6 +69,7 @@ def __prepare_fancyarrow_dpi_cor_test():
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@image_comparison(baseline_images=['fancyarrow_dpi_cor_100dpi'],
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remove_text=True, extensions=['png'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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savefig_kwarg=dict(dpi=100))
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def test_fancyarrow_dpi_cor_100dpi():
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"""
@@ -83,6 +85,7 @@ def test_fancyarrow_dpi_cor_100dpi():
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@image_comparison(baseline_images=['fancyarrow_dpi_cor_200dpi'],
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remove_text=True, extensions=['png'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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savefig_kwarg=dict(dpi=200))
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def test_fancyarrow_dpi_cor_200dpi():
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"""

‎lib/matplotlib/tests/test_axes.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_axes.py
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from itertools import product
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from distutils.version import LooseVersion
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import io
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import platform
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import datetime
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@@ -3349,7 +3350,8 @@ def test_vertex_markers():
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@image_comparison(baseline_images=['vline_hline_zorder',
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'errorbar_zorder'])
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'errorbar_zorder'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0))
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def test_eb_line_zorder():
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x = list(range(10))
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@@ -5120,7 +5122,8 @@ def test_title_location_roundtrip():
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@image_comparison(baseline_images=["loglog"], remove_text=True,
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extensions=['png'])
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extensions=['png'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0))
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def test_loglog():
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fig, ax = plt.subplots()
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x = np.arange(1, 11)

‎lib/matplotlib/tests/test_collections.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_collections.py
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Tests specific to the collections module.
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"""
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import io
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import platform
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import numpy as np
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from numpy.testing import assert_array_equal, assert_array_almost_equal
@@ -441,6 +442,7 @@ def test_barb_limits():
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@image_comparison(baseline_images=['EllipseCollection_test_image'],
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extensions=['png'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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remove_text=True)
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def test_EllipseCollection():
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# Test basic functionality

‎lib/matplotlib/tests/test_cycles.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_cycles.py
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import warnings
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import platform
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from matplotlib.testing.decorators import image_comparison
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import matplotlib.pyplot as plt
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@image_comparison(baseline_images=['color_cycle_basic'], remove_text=True,
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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extensions=['png'])
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def test_colorcycle_basic():
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fig, ax = plt.subplots()
@@ -26,6 +28,7 @@ def test_colorcycle_basic():
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@image_comparison(baseline_images=['marker_cycle', 'marker_cycle'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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remove_text=True, extensions=['png'])
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def test_marker_cycle():
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fig, ax = plt.subplots()
@@ -59,6 +62,7 @@ def test_marker_cycle():
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@image_comparison(baseline_images=['lineprop_cycle_basic'], remove_text=True,
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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extensions=['png'])
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def test_linestylecycle_basic():
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fig, ax = plt.subplots()

‎lib/matplotlib/tests/test_figure.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_figure.py
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import sys
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import warnings
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import platform
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from matplotlib import rcParams
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from matplotlib.testing.decorators import image_comparison
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import pytest
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@image_comparison(baseline_images=['figure_align_labels'])
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@image_comparison(baseline_images=['figure_align_labels'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0))
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def test_align_labels():
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# Check the figure.align_labels() command
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fig = plt.figure(tight_layout=True)

‎lib/matplotlib/tests/test_image.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_image.py
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import io
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import os
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import sys
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import platform
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import urllib.request
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import warnings
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@@ -762,6 +763,7 @@ def test_imshow_endianess():
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@image_comparison(baseline_images=['imshow_masked_interpolation'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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remove_text=True, style='mpl20')
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def test_imshow_masked_interpolation():
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‎lib/matplotlib/tests/test_legend.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_legend.py
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import collections
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import inspect
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import platform
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from unittest import mock
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import numpy as np
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@image_comparison(baseline_images=['rgba_alpha'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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extensions=['png'], remove_text=True)
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def test_alpha_rgba():
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import matplotlib.pyplot as plt
@@ -118,6 +120,7 @@ def test_alpha_rgba():
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@image_comparison(baseline_images=['rcparam_alpha'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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extensions=['png'], remove_text=True)
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def test_alpha_rcparam():
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import matplotlib.pyplot as plt
@@ -145,7 +148,8 @@ def test_fancy():
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ncol=2, shadow=True, title="My legend", numpoints=1)
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@image_comparison(baseline_images=['framealpha'], remove_text=True)
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@image_comparison(baseline_images=['framealpha'], remove_text=True,
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0))
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def test_framealpha():
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x = np.linspace(1, 100, 100)
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y = x

‎lib/matplotlib/tests/test_pickle.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_pickle.py
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import pickle
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import platform
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from io import BytesIO
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import numpy as np
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@image_comparison(baseline_images=['multi_pickle'],
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extensions=['png'], remove_text=True,
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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style='mpl20')
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def test_complete():
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fig = plt.figure('Figure with a label?', figsize=(10, 6))

‎lib/matplotlib/tests/test_scale.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_scale.py
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from matplotlib.scale import Log10Transform, InvertedLog10Transform
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import numpy as np
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import io
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import platform
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import pytest
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@image_comparison(baseline_images=['logscale_nonpos_values'], remove_text=True,
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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extensions=['png'], style='mpl20')
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def test_logscale_nonpos_values():
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np.random.seed(19680801)

‎lib/matplotlib/tests/test_streamplot.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_streamplot.py
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import sys
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import platform
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import numpy as np
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from numpy.testing import assert_array_almost_equal
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@image_comparison(baseline_images=['streamplot_linewidth'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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remove_text=True, style='mpl20')
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def test_linewidth():
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X, Y, U, V = velocity_field()

‎lib/matplotlib/tests/test_units.py

Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_units.py
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import datetime
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from unittest.mock import MagicMock
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from matplotlib.cbook import iterable
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import matplotlib.units as munits
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import numpy as np
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import datetime
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import platform
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# Basic class that wraps numpy array and has units
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# Tests that the conversion machinery works properly for classes that
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# work as a facade over numpy arrays (like pint)
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@image_comparison(baseline_images=['plot_pint'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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extensions=['png'], remove_text=False, style='mpl20')
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def test_numpy_facade():
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# Create an instance of the conversion interface and
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# Tests gh-8908
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@image_comparison(baseline_images=['plot_masked_units'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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extensions=['png'], remove_text=True, style='mpl20')
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def test_plot_masked_units():
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data = np.linspace(-5, 5)

‎lib/mpl_toolkits/tests/test_axes_grid1.py

Copy file name to clipboardExpand all lines: lib/mpl_toolkits/tests/test_axes_grid1.py
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from itertools import product
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import pytest
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import numpy as np
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from numpy.testing import assert_array_equal, assert_array_almost_equal
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@image_comparison(baseline_images=['anchored_direction_arrows'],
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0),
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extensions=['png'])
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def test_anchored_direction_arrows():
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fig, ax = plt.subplots()

‎lib/mpl_toolkits/tests/test_axisartist_grid_helper_curvelinear.py

Copy file name to clipboardExpand all lines: lib/mpl_toolkits/tests/test_axisartist_grid_helper_curvelinear.py
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import numpy as np
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import platform
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import matplotlib.pyplot as plt
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from matplotlib.path import Path
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@image_comparison(baseline_images=['polar_box'],
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extensions=['png'], style='default', tol=0.03)
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tol={'aarch64': 0.04}.get(platform.machine(), 0.03),
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extensions=['png'], style='default')
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def test_polar_box():
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fig = plt.figure(figsize=(5, 5))
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