ai-content-maker/.venv/Lib/site-packages/matplotlib/tests/test_determinism.py

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2024-05-03 04:18:51 +03:00
"""
Test output reproducibility.
"""
import os
import subprocess
import sys
import pytest
import matplotlib as mpl
import matplotlib.testing.compare
from matplotlib import pyplot as plt
from matplotlib.testing._markers import needs_ghostscript, needs_usetex
def _save_figure(objects='mhi', fmt="pdf", usetex=False):
mpl.use(fmt)
mpl.rcParams.update({'svg.hashsalt': 'asdf', 'text.usetex': usetex})
fig = plt.figure()
if 'm' in objects:
# use different markers...
ax1 = fig.add_subplot(1, 6, 1)
x = range(10)
ax1.plot(x, [1] * 10, marker='D')
ax1.plot(x, [2] * 10, marker='x')
ax1.plot(x, [3] * 10, marker='^')
ax1.plot(x, [4] * 10, marker='H')
ax1.plot(x, [5] * 10, marker='v')
if 'h' in objects:
# also use different hatch patterns
ax2 = fig.add_subplot(1, 6, 2)
bars = (ax2.bar(range(1, 5), range(1, 5)) +
ax2.bar(range(1, 5), [6] * 4, bottom=range(1, 5)))
ax2.set_xticks([1.5, 2.5, 3.5, 4.5])
patterns = ('-', '+', 'x', '\\', '*', 'o', 'O', '.')
for bar, pattern in zip(bars, patterns):
bar.set_hatch(pattern)
if 'i' in objects:
# also use different images
A = [[1, 2, 3], [2, 3, 1], [3, 1, 2]]
fig.add_subplot(1, 6, 3).imshow(A, interpolation='nearest')
A = [[1, 3, 2], [1, 2, 3], [3, 1, 2]]
fig.add_subplot(1, 6, 4).imshow(A, interpolation='bilinear')
A = [[2, 3, 1], [1, 2, 3], [2, 1, 3]]
fig.add_subplot(1, 6, 5).imshow(A, interpolation='bicubic')
x = range(5)
ax = fig.add_subplot(1, 6, 6)
ax.plot(x, x)
ax.set_title('A string $1+2+\\sigma$')
ax.set_xlabel('A string $1+2+\\sigma$')
ax.set_ylabel('A string $1+2+\\sigma$')
stdout = getattr(sys.stdout, 'buffer', sys.stdout)
fig.savefig(stdout, format=fmt)
@pytest.mark.parametrize(
"objects, fmt, usetex", [
("", "pdf", False),
("m", "pdf", False),
("h", "pdf", False),
("i", "pdf", False),
("mhi", "pdf", False),
("mhi", "ps", False),
pytest.param(
"mhi", "ps", True, marks=[needs_usetex, needs_ghostscript]),
("mhi", "svg", False),
pytest.param("mhi", "svg", True, marks=needs_usetex),
]
)
def test_determinism_check(objects, fmt, usetex):
"""
Output three times the same graphs and checks that the outputs are exactly
the same.
Parameters
----------
objects : str
Objects to be included in the test document: 'm' for markers, 'h' for
hatch patterns, 'i' for images.
fmt : {"pdf", "ps", "svg"}
Output format.
"""
plots = [
subprocess.check_output(
[sys.executable, "-R", "-c",
f"from matplotlib.tests.test_determinism import _save_figure;"
f"_save_figure({objects!r}, {fmt!r}, {usetex})"],
env={**os.environ, "SOURCE_DATE_EPOCH": "946684800",
"MPLBACKEND": "Agg"})
for _ in range(3)
]
for p in plots[1:]:
if fmt == "ps" and usetex:
if p != plots[0]:
pytest.skip("failed, maybe due to ghostscript timestamps")
else:
assert p == plots[0]
@pytest.mark.parametrize(
"fmt, string", [
("pdf", b"/CreationDate (D:20000101000000Z)"),
# SOURCE_DATE_EPOCH support is not tested with text.usetex,
# because the produced timestamp comes from ghostscript:
# %%CreationDate: D:20000101000000Z00\'00\', and this could change
# with another ghostscript version.
("ps", b"%%CreationDate: Sat Jan 01 00:00:00 2000"),
]
)
def test_determinism_source_date_epoch(fmt, string):
"""
Test SOURCE_DATE_EPOCH support. Output a document with the environment
variable SOURCE_DATE_EPOCH set to 2000-01-01 00:00 UTC and check that the
document contains the timestamp that corresponds to this date (given as an
argument).
Parameters
----------
fmt : {"pdf", "ps", "svg"}
Output format.
string : bytes
Timestamp string for 2000-01-01 00:00 UTC.
"""
buf = subprocess.check_output(
[sys.executable, "-R", "-c",
f"from matplotlib.tests.test_determinism import _save_figure; "
f"_save_figure('', {fmt!r})"],
env={**os.environ, "SOURCE_DATE_EPOCH": "946684800",
"MPLBACKEND": "Agg"})
assert string in buf