140 lines
4.5 KiB
Python
140 lines
4.5 KiB
Python
"""
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Test output reproducibility.
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"""
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import os
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import sys
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import pytest
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import matplotlib as mpl
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import matplotlib.testing.compare
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from matplotlib import pyplot as plt
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from matplotlib.testing._markers import needs_ghostscript, needs_usetex
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from matplotlib.testing import subprocess_run_for_testing
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def _save_figure(objects='mhi', fmt="pdf", usetex=False):
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mpl.use(fmt)
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mpl.rcParams.update({'svg.hashsalt': 'asdf', 'text.usetex': usetex})
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fig = plt.figure()
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if 'm' in objects:
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# use different markers...
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ax1 = fig.add_subplot(1, 6, 1)
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x = range(10)
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ax1.plot(x, [1] * 10, marker='D')
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ax1.plot(x, [2] * 10, marker='x')
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ax1.plot(x, [3] * 10, marker='^')
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ax1.plot(x, [4] * 10, marker='H')
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ax1.plot(x, [5] * 10, marker='v')
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if 'h' in objects:
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# also use different hatch patterns
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ax2 = fig.add_subplot(1, 6, 2)
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bars = (ax2.bar(range(1, 5), range(1, 5)) +
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ax2.bar(range(1, 5), [6] * 4, bottom=range(1, 5)))
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ax2.set_xticks([1.5, 2.5, 3.5, 4.5])
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patterns = ('-', '+', 'x', '\\', '*', 'o', 'O', '.')
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for bar, pattern in zip(bars, patterns):
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bar.set_hatch(pattern)
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if 'i' in objects:
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# also use different images
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A = [[1, 2, 3], [2, 3, 1], [3, 1, 2]]
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fig.add_subplot(1, 6, 3).imshow(A, interpolation='nearest')
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A = [[1, 3, 2], [1, 2, 3], [3, 1, 2]]
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fig.add_subplot(1, 6, 4).imshow(A, interpolation='bilinear')
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A = [[2, 3, 1], [1, 2, 3], [2, 1, 3]]
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fig.add_subplot(1, 6, 5).imshow(A, interpolation='bicubic')
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x = range(5)
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ax = fig.add_subplot(1, 6, 6)
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ax.plot(x, x)
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ax.set_title('A string $1+2+\\sigma$')
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ax.set_xlabel('A string $1+2+\\sigma$')
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ax.set_ylabel('A string $1+2+\\sigma$')
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stdout = getattr(sys.stdout, 'buffer', sys.stdout)
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fig.savefig(stdout, format=fmt)
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@pytest.mark.parametrize(
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"objects, fmt, usetex", [
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("", "pdf", False),
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("m", "pdf", False),
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("h", "pdf", False),
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("i", "pdf", False),
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("mhi", "pdf", False),
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("mhi", "ps", False),
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pytest.param(
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"mhi", "ps", True, marks=[needs_usetex, needs_ghostscript]),
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("mhi", "svg", False),
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pytest.param("mhi", "svg", True, marks=needs_usetex),
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]
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)
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def test_determinism_check(objects, fmt, usetex):
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"""
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Output three times the same graphs and checks that the outputs are exactly
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the same.
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Parameters
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----------
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objects : str
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Objects to be included in the test document: 'm' for markers, 'h' for
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hatch patterns, 'i' for images.
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fmt : {"pdf", "ps", "svg"}
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Output format.
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"""
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plots = [
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subprocess_run_for_testing(
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[sys.executable, "-R", "-c",
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f"from matplotlib.tests.test_determinism import _save_figure;"
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f"_save_figure({objects!r}, {fmt!r}, {usetex})"],
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env={**os.environ, "SOURCE_DATE_EPOCH": "946684800",
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"MPLBACKEND": "Agg"},
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text=False, capture_output=True, check=True).stdout
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for _ in range(3)
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]
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for p in plots[1:]:
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if fmt == "ps" and usetex:
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if p != plots[0]:
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pytest.skip("failed, maybe due to ghostscript timestamps")
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else:
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assert p == plots[0]
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@pytest.mark.parametrize(
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"fmt, string", [
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("pdf", b"/CreationDate (D:20000101000000Z)"),
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# SOURCE_DATE_EPOCH support is not tested with text.usetex,
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# because the produced timestamp comes from ghostscript:
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# %%CreationDate: D:20000101000000Z00\'00\', and this could change
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# with another ghostscript version.
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("ps", b"%%CreationDate: Sat Jan 01 00:00:00 2000"),
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]
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)
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def test_determinism_source_date_epoch(fmt, string):
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"""
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Test SOURCE_DATE_EPOCH support. Output a document with the environment
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variable SOURCE_DATE_EPOCH set to 2000-01-01 00:00 UTC and check that the
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document contains the timestamp that corresponds to this date (given as an
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argument).
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Parameters
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----------
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fmt : {"pdf", "ps", "svg"}
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Output format.
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string : bytes
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Timestamp string for 2000-01-01 00:00 UTC.
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"""
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buf = subprocess_run_for_testing(
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[sys.executable, "-R", "-c",
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f"from matplotlib.tests.test_determinism import _save_figure; "
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f"_save_figure('', {fmt!r})"],
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env={**os.environ, "SOURCE_DATE_EPOCH": "946684800",
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"MPLBACKEND": "Agg"}, capture_output=True, text=False, check=True).stdout
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assert string in buf
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