rm CondaPkg environment

.CondaPkg/env/Lib/site-packages/skimage/io/tests/test_tifffile.py

@@ -1,83 +0,0 @@
-import pathlib
-from tempfile import NamedTemporaryFile
-
-import numpy as np
-import pytest
-from numpy.testing import assert_array_almost_equal, assert_array_equal
-from skimage._shared.testing import fetch
-from skimage.io import imread, imsave, reset_plugins, use_plugin
-
-
-def setup():
-    use_plugin('tifffile')
-    np.random.seed(0)
-
-
-def teardown():
-    reset_plugins()
-
-
-def test_imread_uint16():
-    expected = np.load(fetch('data/chessboard_GRAY_U8.npy'))
-    img = imread(fetch('data/chessboard_GRAY_U16.tif'))
-    assert img.dtype == np.uint16
-    assert_array_almost_equal(img, expected)
-
-
-def test_imread_uint16_big_endian():
-    expected = np.load(fetch('data/chessboard_GRAY_U8.npy'))
-    img = imread(fetch('data/chessboard_GRAY_U16B.tif'))
-    assert img.dtype == np.uint16
-    assert_array_almost_equal(img, expected)
-
-
-def test_imread_multipage_rgb_tif():
-    img = imread(fetch('data/multipage_rgb.tif'))
-    assert img.shape == (2, 10, 10, 3), img.shape
-
-
-def test_tifffile_kwarg_passthrough ():
-    img = imread(fetch('data/multipage.tif'), key=[1], is_ome=True)
-    assert img.shape == (15, 10), img.shape
-
-
-def test_imread_handle():
-    expected = np.load(fetch('data/chessboard_GRAY_U8.npy'))
-    with open(fetch('data/chessboard_GRAY_U16.tif'), 'rb') as fh:
-        img = imread(fh)
-    assert img.dtype == np.uint16
-    assert_array_almost_equal(img, expected)
-
-
-class TestSave:
-
-    def roundtrip(self, dtype, x, use_pathlib=False, **kwargs):
-        with NamedTemporaryFile(suffix='.tif') as f:
-            fname = f.name
-
-        if use_pathlib:
-            fname = pathlib.Path(fname)
-        imsave(fname, x, check_contrast=False, **kwargs)
-        y = imread(fname)
-        assert_array_equal(x, y)
-
-    shapes = ((10, 10), (10, 10, 3), (10, 10, 4))
-    dtypes = (np.uint8, np.uint16, np.float32, np.int16, np.float64)
-
-    @pytest.mark.parametrize("shape", shapes)
-    @pytest.mark.parametrize("dtype", dtypes)
-    @pytest.mark.parametrize("use_pathlib", [False, True])
-    @pytest.mark.parametrize('explicit_photometric_kwarg', [False, True])
-    def test_imsave_roundtrip(self, shape, dtype, use_pathlib,
-                              explicit_photometric_kwarg):
-        x = np.random.rand(*shape)
-
-        if not np.issubdtype(dtype, np.floating):
-            x = (x * np.iinfo(dtype).max).astype(dtype)
-        else:
-            x = x.astype(dtype)
-        if explicit_photometric_kwarg and x.shape[-1] in [3, 4]:
-            kwargs = {'photometric': 'rgb'}
-        else:
-            kwargs = {}
-        self.roundtrip(dtype, x, use_pathlib, **kwargs)