68 lines
1.7 KiB
Python
68 lines
1.7 KiB
Python
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from io import BytesIO
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import glob
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import os
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from pathlib import Path
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import numpy as np
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import pytest
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from matplotlib.testing.decorators import image_comparison
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from matplotlib import pyplot as plt
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import matplotlib.cm as cm
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@image_comparison(['pngsuite.png'], tol=0.03)
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def test_pngsuite():
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dirname = os.path.join(
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os.path.dirname(__file__),
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'baseline_images',
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'pngsuite')
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files = sorted(glob.iglob(os.path.join(dirname, 'basn*.png')))
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plt.figure(figsize=(len(files), 2))
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for i, fname in enumerate(files):
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data = plt.imread(fname)
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cmap = None # use default colormap
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if data.ndim == 2:
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# keep grayscale images gray
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cmap = cm.gray
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plt.imshow(data, extent=[i, i + 1, 0, 1], cmap=cmap)
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plt.gca().patch.set_facecolor("#ddffff")
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plt.gca().set_xlim(0, len(files))
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def test_imread_png_uint16():
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from matplotlib import _png
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with (Path(__file__).parent
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/ 'baseline_images/test_png/uint16.png').open('rb') as file:
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img = _png.read_png_int(file)
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assert (img.dtype == np.uint16)
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assert np.sum(img.flatten()) == 134184960
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def test_truncated_file(tmpdir):
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d = tmpdir.mkdir('test')
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fname = str(d.join('test.png'))
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fname_t = str(d.join('test_truncated.png'))
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plt.savefig(fname)
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with open(fname, 'rb') as fin:
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buf = fin.read()
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with open(fname_t, 'wb') as fout:
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fout.write(buf[:20])
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with pytest.raises(Exception):
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plt.imread(fname_t)
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def test_truncated_buffer():
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b = BytesIO()
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plt.savefig(b)
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b.seek(0)
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b2 = BytesIO(b.read(20))
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b2.seek(0)
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with pytest.raises(Exception):
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plt.imread(b2)
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