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

139 lines
4.4 KiB
Python

"""
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