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MLPproject/.venv/lib/python3.12/site-packages/skimage/io/tests/test_imread.py
2025-10-23 15:44:32 +02:00

76 lines
1.9 KiB
Python

from tempfile import NamedTemporaryFile
import numpy as np
from skimage import io
from skimage.io import imread, imsave, use_plugin, reset_plugins
from skimage._shared import testing
from skimage._shared.testing import (
TestCase,
assert_array_equal,
assert_array_almost_equal,
fetch,
)
import pytest
pytest.importorskip('imread')
@pytest.fixture(autouse=True)
def _use_imread_plugin():
"""Ensure that PIL plugin is used in tests here."""
use_plugin('imread')
yield
reset_plugins()
def test_imread_as_gray():
img = imread(fetch('data/color.png'), as_gray=True)
assert img.ndim == 2
assert img.dtype == np.float64
img = imread(fetch('data/camera.png'), as_gray=True)
# check that conversion does not happen for a gray image
assert np.dtype(img.dtype).char in np.typecodes['AllInteger']
def test_imread_palette():
img = imread(fetch('data/palette_color.png'))
assert img.ndim == 3
def test_imread_truncated_jpg():
with testing.raises(RuntimeError):
io.imread(fetch('data/truncated.jpg'))
def test_bilevel():
expected = np.zeros((10, 10), bool)
expected[::2] = 1
img = imread(fetch('data/checker_bilevel.png'))
assert_array_equal(img.astype(bool), expected)
class TestSave(TestCase):
def roundtrip(self, x, scaling=1):
with NamedTemporaryFile(suffix='.png') as f:
fname = f.name
imsave(fname, x)
y = imread(fname)
assert_array_almost_equal((x * scaling).astype(np.int32), y)
def test_imsave_roundtrip(self):
dtype = np.uint8
np.random.seed(0)
for shape in [(10, 10), (10, 10, 3), (10, 10, 4)]:
x = np.ones(shape, dtype=dtype) * np.random.rand(*shape)
if np.issubdtype(dtype, np.floating):
yield self.roundtrip, x, 255
else:
x = (x * 255).astype(dtype)
yield self.roundtrip, x