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import datetime
import decimal
import io
import os
from pathlib import Path
import numpy as np
import pytest
import matplotlib as mpl
from matplotlib import (
pyplot as plt, rcParams, font_manager as fm
)
from matplotlib.cbook import _get_data_path
from matplotlib.ft2font import FT2Font
from matplotlib.backends._backend_pdf_ps import get_glyphs_subset, font_as_file
from matplotlib.backends.backend_pdf import PdfPages
from matplotlib.patches import Rectangle
from matplotlib.testing import _gen_multi_font_text, _has_tex_package
from matplotlib.testing.decorators import check_figures_equal, image_comparison
from matplotlib.testing._markers import needs_usetex
@image_comparison(['pdf_use14corefonts.pdf'])
def test_use14corefonts():
rcParams['pdf.use14corefonts'] = True
rcParams['font.family'] = 'sans-serif'
rcParams['font.size'] = 8
rcParams['font.sans-serif'] = ['Helvetica']
rcParams['pdf.compression'] = 0
text = '''A three-line text positioned just above a blue line
and containing some French characters and the euro symbol:
"Merci pépé pour les 10 €"'''
fig, ax = plt.subplots()
ax.set_title('Test PDF backend with option use14corefonts=True')
ax.text(0.5, 0.5, text, horizontalalignment='center',
verticalalignment='bottom',
fontsize=14)
ax.axhline(0.5, linewidth=0.5)
def test_multipage_pagecount():
with PdfPages(io.BytesIO()) as pdf:
assert pdf.get_pagecount() == 0
fig, ax = plt.subplots()
ax.plot([1, 2, 3])
fig.savefig(pdf, format="pdf")
assert pdf.get_pagecount() == 1
pdf.savefig()
assert pdf.get_pagecount() == 2
def test_multipage_properfinalize():
pdfio = io.BytesIO()
with PdfPages(pdfio) as pdf:
for i in range(10):
fig, ax = plt.subplots()
ax.set_title('This is a long title')
fig.savefig(pdf, format="pdf")
s = pdfio.getvalue()
assert s.count(b'startxref') == 1
assert len(s) < 40000
def test_multipage_keep_empty(tmp_path):
# An empty pdf deletes itself afterwards.
fn = tmp_path / "a.pdf"
with PdfPages(fn) as pdf:
pass
assert not fn.exists()
# Test pdf files with content, they should never be deleted.
fn = tmp_path / "b.pdf"
with PdfPages(fn) as pdf:
pdf.savefig(plt.figure())
assert fn.exists()
def test_composite_image():
# Test that figures can be saved with and without combining multiple images
# (on a single set of axes) into a single composite image.
X, Y = np.meshgrid(np.arange(-5, 5, 1), np.arange(-5, 5, 1))
Z = np.sin(Y ** 2)
fig, ax = plt.subplots()
ax.set_xlim(0, 3)
ax.imshow(Z, extent=[0, 1, 0, 1])
ax.imshow(Z[::-1], extent=[2, 3, 0, 1])
plt.rcParams['image.composite_image'] = True
with PdfPages(io.BytesIO()) as pdf:
fig.savefig(pdf, format="pdf")
assert len(pdf._file._images) == 1
plt.rcParams['image.composite_image'] = False
with PdfPages(io.BytesIO()) as pdf:
fig.savefig(pdf, format="pdf")
assert len(pdf._file._images) == 2
def test_indexed_image():
# An image with low color count should compress to a palette-indexed format.
pikepdf = pytest.importorskip('pikepdf')
data = np.zeros((256, 1, 3), dtype=np.uint8)
data[:, 0, 0] = np.arange(256) # Maximum unique colours for an indexed image.
rcParams['pdf.compression'] = True
fig = plt.figure()
fig.figimage(data, resize=True)
buf = io.BytesIO()
fig.savefig(buf, format='pdf', dpi='figure')
with pikepdf.Pdf.open(buf) as pdf:
page, = pdf.pages
image, = page.images.values()
pdf_image = pikepdf.PdfImage(image)
assert pdf_image.indexed
pil_image = pdf_image.as_pil_image()
rgb = np.asarray(pil_image.convert('RGB'))
np.testing.assert_array_equal(data, rgb)
def test_savefig_metadata(monkeypatch):
pikepdf = pytest.importorskip('pikepdf')
monkeypatch.setenv('SOURCE_DATE_EPOCH', '0')
fig, ax = plt.subplots()
ax.plot(range(5))
md = {
'Author': 'me',
'Title': 'Multipage PDF',
'Subject': 'Test page',
'Keywords': 'test,pdf,multipage',
'ModDate': datetime.datetime(
1968, 8, 1, tzinfo=datetime.timezone(datetime.timedelta(0))),
'Trapped': 'True'
}
buf = io.BytesIO()
fig.savefig(buf, metadata=md, format='pdf')
with pikepdf.Pdf.open(buf) as pdf:
info = {k: str(v) for k, v in pdf.docinfo.items()}
assert info == {
'/Author': 'me',
'/CreationDate': 'D:19700101000000Z',
'/Creator': f'Matplotlib v{mpl.__version__}, https://matplotlib.org',
'/Keywords': 'test,pdf,multipage',
'/ModDate': 'D:19680801000000Z',
'/Producer': f'Matplotlib pdf backend v{mpl.__version__}',
'/Subject': 'Test page',
'/Title': 'Multipage PDF',
'/Trapped': '/True',
}
def test_invalid_metadata():
fig, ax = plt.subplots()
with pytest.warns(UserWarning,
match="Unknown infodict keyword: 'foobar'."):
fig.savefig(io.BytesIO(), format='pdf', metadata={'foobar': 'invalid'})
with pytest.warns(UserWarning,
match='not an instance of datetime.datetime.'):
fig.savefig(io.BytesIO(), format='pdf',
metadata={'ModDate': '1968-08-01'})
with pytest.warns(UserWarning,
match='not one of {"True", "False", "Unknown"}'):
fig.savefig(io.BytesIO(), format='pdf', metadata={'Trapped': 'foo'})
with pytest.warns(UserWarning, match='not an instance of str.'):
fig.savefig(io.BytesIO(), format='pdf', metadata={'Title': 1234})
def test_multipage_metadata(monkeypatch):
pikepdf = pytest.importorskip('pikepdf')
monkeypatch.setenv('SOURCE_DATE_EPOCH', '0')
fig, ax = plt.subplots()
ax.plot(range(5))
md = {
'Author': 'me',
'Title': 'Multipage PDF',
'Subject': 'Test page',
'Keywords': 'test,pdf,multipage',
'ModDate': datetime.datetime(
1968, 8, 1, tzinfo=datetime.timezone(datetime.timedelta(0))),
'Trapped': 'True'
}
buf = io.BytesIO()
with PdfPages(buf, metadata=md) as pdf:
pdf.savefig(fig)
pdf.savefig(fig)
with pikepdf.Pdf.open(buf) as pdf:
info = {k: str(v) for k, v in pdf.docinfo.items()}
assert info == {
'/Author': 'me',
'/CreationDate': 'D:19700101000000Z',
'/Creator': f'Matplotlib v{mpl.__version__}, https://matplotlib.org',
'/Keywords': 'test,pdf,multipage',
'/ModDate': 'D:19680801000000Z',
'/Producer': f'Matplotlib pdf backend v{mpl.__version__}',
'/Subject': 'Test page',
'/Title': 'Multipage PDF',
'/Trapped': '/True',
}
def test_text_urls():
pikepdf = pytest.importorskip('pikepdf')
test_url = 'https://test_text_urls.matplotlib.org/'
fig = plt.figure(figsize=(2, 1))
fig.text(0.1, 0.1, 'test plain 123', url=f'{test_url}plain')
fig.text(0.1, 0.4, 'test mathtext $123$', url=f'{test_url}mathtext')
with io.BytesIO() as fd:
fig.savefig(fd, format='pdf')
with pikepdf.Pdf.open(fd) as pdf:
annots = pdf.pages[0].Annots
# Iteration over Annots must occur within the context manager,
# otherwise it may fail depending on the pdf structure.
for y, fragment in [('0.1', 'plain'), ('0.4', 'mathtext')]:
annot = next(
(a for a in annots if a.A.URI == f'{test_url}{fragment}'),
None)
assert annot is not None
assert getattr(annot, 'QuadPoints', None) is None
# Positions in points (72 per inch.)
assert annot.Rect[1] == decimal.Decimal(y) * 72
def test_text_rotated_urls():
pikepdf = pytest.importorskip('pikepdf')
test_url = 'https://test_text_urls.matplotlib.org/'
fig = plt.figure(figsize=(1, 1))
fig.text(0.1, 0.1, 'N', rotation=45, url=f'{test_url}')
with io.BytesIO() as fd:
fig.savefig(fd, format='pdf')
with pikepdf.Pdf.open(fd) as pdf:
annots = pdf.pages[0].Annots
# Iteration over Annots must occur within the context manager,
# otherwise it may fail depending on the pdf structure.
annot = next(
(a for a in annots if a.A.URI == f'{test_url}'),
None)
assert annot is not None
assert getattr(annot, 'QuadPoints', None) is not None
# Positions in points (72 per inch)
assert annot.Rect[0] == \
annot.QuadPoints[6] - decimal.Decimal('0.00001')
@needs_usetex
def test_text_urls_tex():
pikepdf = pytest.importorskip('pikepdf')
test_url = 'https://test_text_urls.matplotlib.org/'
fig = plt.figure(figsize=(2, 1))
fig.text(0.1, 0.7, 'test tex $123$', usetex=True, url=f'{test_url}tex')
with io.BytesIO() as fd:
fig.savefig(fd, format='pdf')
with pikepdf.Pdf.open(fd) as pdf:
annots = pdf.pages[0].Annots
# Iteration over Annots must occur within the context manager,
# otherwise it may fail depending on the pdf structure.
annot = next(
(a for a in annots if a.A.URI == f'{test_url}tex'),
None)
assert annot is not None
# Positions in points (72 per inch.)
assert annot.Rect[1] == decimal.Decimal('0.7') * 72
def test_pdfpages_fspath():
with PdfPages(Path(os.devnull)) as pdf:
pdf.savefig(plt.figure())
@image_comparison(['hatching_legend.pdf'], style='mpl20')
def test_hatching_legend(text_placeholders):
"""Test for correct hatching on patches in legend"""
fig = plt.figure(figsize=(1, 2))
a = Rectangle([0, 0], 0, 0, facecolor="green", hatch="XXXX")
b = Rectangle([0, 0], 0, 0, facecolor="blue", hatch="XXXX")
# Verify that hatches in PDFs work after empty labels. See
# https://github.com/matplotlib/matplotlib/issues/4469
fig.legend([a, b, a, b], ["", "", "", ""])
@image_comparison(['grayscale_alpha.pdf'])
def test_grayscale_alpha():
"""Masking images with NaN did not work for grayscale images"""
x, y = np.ogrid[-2:2:.1, -2:2:.1]
dd = np.exp(-(x**2 + y**2))
dd[dd < .1] = np.nan
fig, ax = plt.subplots()
ax.imshow(dd, interpolation='none', cmap='gray_r')
ax.set_xticks([])
ax.set_yticks([])
@mpl.style.context('default')
@check_figures_equal(extensions=["pdf", "eps"])
def test_pdf_eps_savefig_when_color_is_none(fig_test, fig_ref):
ax_test = fig_test.add_subplot()
ax_test.set_axis_off()
ax_test.plot(np.sin(np.linspace(-5, 5, 100)), "v", c="none")
ax_ref = fig_ref.add_subplot()
ax_ref.set_axis_off()
@needs_usetex
def test_failing_latex():
"""Test failing latex subprocess call"""
plt.xlabel("$22_2_2$", usetex=True) # This fails with "Double subscript"
with pytest.raises(RuntimeError):
plt.savefig(io.BytesIO(), format="pdf")
def test_empty_rasterized():
# Check that empty figures that are rasterised save to pdf files fine
fig, ax = plt.subplots()
ax.plot([], [], rasterized=True)
fig.savefig(io.BytesIO(), format="pdf")
@image_comparison(['kerning.pdf'])
def test_kerning():
fig = plt.figure()
s = "AVAVAVAVAVAVAVAV€AAVV"
fig.text(0, .25, s, size=5)
fig.text(0, .75, s, size=20)
def test_glyphs_subset():
fpath = str(_get_data_path("fonts/ttf/DejaVuSerif.ttf"))
chars = "these should be subsetted! 1234567890"
# non-subsetted FT2Font
nosubfont = FT2Font(fpath)
nosubfont.set_text(chars)
# subsetted FT2Font
with get_glyphs_subset(fpath, chars) as subset:
subfont = FT2Font(font_as_file(subset))
subfont.set_text(chars)
nosubcmap = nosubfont.get_charmap()
subcmap = subfont.get_charmap()
# all unique chars must be available in subsetted font
assert {*chars} == {chr(key) for key in subcmap}
# subsetted font's charmap should have less entries
assert len(subcmap) < len(nosubcmap)
# since both objects are assigned same characters
assert subfont.get_num_glyphs() == nosubfont.get_num_glyphs()
@image_comparison(["multi_font_type3.pdf"])
def test_multi_font_type3():
fonts, test_str = _gen_multi_font_text()
plt.rc('font', family=fonts, size=16)
plt.rc('pdf', fonttype=3)
fig = plt.figure()
fig.text(0.5, 0.5, test_str,
horizontalalignment='center', verticalalignment='center')
@image_comparison(["multi_font_type42.pdf"])
def test_multi_font_type42():
fonts, test_str = _gen_multi_font_text()
plt.rc('font', family=fonts, size=16)
plt.rc('pdf', fonttype=42)
fig = plt.figure()
fig.text(0.5, 0.5, test_str,
horizontalalignment='center', verticalalignment='center')
@pytest.mark.parametrize('family_name, file_name',
[("Noto Sans", "NotoSans-Regular.otf"),
("FreeMono", "FreeMono.otf")])
def test_otf_font_smoke(family_name, file_name):
# checks that there's no segfault
fp = fm.FontProperties(family=[family_name])
if Path(fm.findfont(fp)).name != file_name:
pytest.skip(f"Font {family_name} may be missing")
plt.rc('font', family=[family_name], size=27)
fig = plt.figure()
fig.text(0.15, 0.475, "Привет мир!")
fig.savefig(io.BytesIO(), format="pdf")
@image_comparison(["truetype-conversion.pdf"])
# mpltest.ttf does not have "l"/"p" glyphs so we get a warning when trying to
# get the font extents.
def test_truetype_conversion(recwarn):
mpl.rcParams['pdf.fonttype'] = 3
fig, ax = plt.subplots()
ax.text(0, 0, "ABCDE",
font=Path(__file__).parent / "data/mpltest.ttf", fontsize=80)
ax.set_xticks([])
ax.set_yticks([])
@pytest.mark.skipif(not _has_tex_package("heuristica"),
reason="LaTeX lacks heuristica package")
@image_comparison(["font-heuristica.pdf"])
def test_font_heuristica():
# Heuristica uses the callothersubr operator for some glyphs
mpl.rcParams['text.latex.preamble'] = '\n'.join((
r'\usepackage{heuristica}',
r'\usepackage[T1]{fontenc}',
r'\usepackage[utf8]{inputenc}'
))
fig, ax = plt.subplots()
ax.text(0.1, 0.1, r"BHTem fi ffl 1234", usetex=True, fontsize=50)
ax.set_xticks([])
ax.set_yticks([])
@pytest.mark.skipif(not _has_tex_package("DejaVuSans"),
reason="LaTeX lacks DejaVuSans package")
@image_comparison(["font-dejavusans.pdf"])
def test_font_dejavusans():
# DejaVuSans uses the seac operator to compose characters with diacritics
mpl.rcParams['text.latex.preamble'] = '\n'.join((
r'\usepackage{DejaVuSans}',
r'\usepackage[T1]{fontenc}',
r'\usepackage[utf8]{inputenc}'
))
fig, ax = plt.subplots()
ax.text(0.1, 0.1, r"\textsf{ñäö ABCDabcd}", usetex=True, fontsize=50)
ax.text(0.1, 0.3, r"\textsf{fi ffl 1234}", usetex=True, fontsize=50)
ax.set_xticks([])
ax.set_yticks([])
@pytest.mark.skipif(not _has_tex_package("charter"),
reason="LaTeX lacks charter package")
@image_comparison(["font-bitstream-charter.pdf"])
def test_font_bitstream_charter():
mpl.rcParams['text.latex.preamble'] = '\n'.join((
r'\usepackage{charter}',
r'\usepackage[T1]{fontenc}',
r'\usepackage[utf8]{inputenc}'
))
fig, ax = plt.subplots()
ax.text(0.1, 0.1, r"åüš ABCDabcd", usetex=True, fontsize=50)
ax.text(0.1, 0.3, r"fi ffl 1234", usetex=True, fontsize=50)
ax.set_xticks([])
ax.set_yticks([])