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How to use unsigned_integer_dtypes method in hypothesis

Best Python code snippet using hypothesis

test_write.py

Source:test_write.py

...22        data = handle[:]23        assert np.all(img == data[:, :, :3])24# scanline integer tests25@settings(buffer_size=11000000)26@given(data=hnp.arrays(dtype=st.one_of(hnp.integer_dtypes(endianness="="), hnp.unsigned_integer_dtypes(endianness="=")),27    shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=10, max_side=50)))28def test_write_int_scanline(data, tmpdir_factory):29    filename = str(tmpdir_factory.mktemp("write").join("int_img.tif"))30    with Tiff(filename, "w") as handle:31        handle.write(data, method="scanline")32    with tifffile.TiffFile(filename) as handle:33        img = handle.asarray()34        np.testing.assert_array_equal(data, img)35@settings(buffer_size=11000000)36@given(data=hnp.arrays(dtype=st.one_of(hnp.integer_dtypes(endianness="="), hnp.unsigned_integer_dtypes(endianness="=")),37    shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=10, max_side=50)))38def test_write_int_scanline_set_rows_per_strip(data, tmpdir_factory):39    filename = str(tmpdir_factory.mktemp("write").join("int_img.tif"))40    rows_per_strip = 141    with Tiff(filename, "w") as handle:42        handle.write(data, method="scanline", rows_per_strip=rows_per_strip)43    with tifffile.TiffFile(filename) as handle:44        img = handle.asarray()45        np.testing.assert_array_equal(data, img)46        assert rows_per_strip == handle[0].tags["rows_per_strip"].value47@settings(buffer_size=11000000)48@given(data=hnp.arrays(dtype=st.one_of(hnp.integer_dtypes(endianness="="), hnp.unsigned_integer_dtypes(endianness="=")),49    shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=20, max_side=20)))50def test_write_int_slices_scanline(data, tmpdir_factory):51    filename = str(tmpdir_factory.mktemp("write").join("int_img_scanline.tif"))52    with Tiff(filename, "w") as handle:53        handle.write(data[:, :], method="scanline")54    with tifffile.TiffFile(filename) as handle:55        img = handle.asarray()56        np.testing.assert_array_equal(data[:,:], img)57# tile integer tests58@settings(buffer_size=11000000)59@given(data=hnp.arrays(dtype=st.one_of(hnp.integer_dtypes(endianness="="), hnp.unsigned_integer_dtypes(endianness="=")),60    shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=10, max_side=50)))61def test_write_int_tile(data, tmpdir_factory):62    filename = str(tmpdir_factory.mktemp("write").join("int_tile_img.tif"))63    with Tiff(filename, "w") as handle:64        handle.write(data, method="tile", tile_width=16, tile_length=16)65    with tifffile.TiffFile(filename) as handle:66        img = handle.asarray()67        np.testing.assert_array_equal(data, img)68@settings(buffer_size=11000000)69@given(data=hnp.arrays(dtype=hnp.floating_dtypes(endianness="="),70    shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=10, max_side=50), elements=st.floats(0, 1)))71def test_write_float_scanline(data, tmpdir_factory):72    filename = str(tmpdir_factory.mktemp("write").join("float_img.tif"))73    with Tiff(filename, "w") as handle:74        handle.write(data, method="scanline")75    with tifffile.TiffFile(filename) as handle:76        img = handle.asarray()77        np.testing.assert_array_equal(data, img)78@settings(buffer_size=11000000)79@given(data=hnp.arrays(dtype=hnp.floating_dtypes(endianness="="),80    shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=10, max_side=50), elements=st.floats(0, 1)))81def test_write_float_tile(data, tmpdir_factory):82    filename = str(tmpdir_factory.mktemp("write").join("float_tile_img.tif"))83    with Tiff(filename, "w") as handle:84        handle.write(data, method="tile", tile_length=16, tile_width=16)85    with tifffile.TiffFile(filename) as handle:86        img = handle.asarray()87        np.testing.assert_array_equal(data, img)88@settings(buffer_size=11000000)89@given(data=hnp.arrays(dtype=st.one_of(hnp.integer_dtypes(endianness="="), hnp.unsigned_integer_dtypes(endianness="=")),90    shape=hnp.array_shapes(min_dims=2, max_dims=2, min_side=10, max_side=50)))91def test_append_int_tile(data, tmpdir_factory):92    filename = str(tmpdir_factory.mktemp("write").join("append_img.tif"))93    with Tiff(filename, "w") as handle:94        handle.write(data, method="tile", tile_width=16, tile_length=16)95    with Tiff(filename, "a") as handle:96        handle.write(data, method="tile", tile_width=16, tile_length=16)97    with Tiff(filename, "r") as handle:98        assert handle.number_of_pages == 299    with tifffile.TiffFile(filename) as handle:100        img = handle.asarray()101        np.testing.assert_array_equal(data, img[0])102        np.testing.assert_array_equal(data, img[1])103def test_write_chunk(tmpdir_factory):...

test_pretty.py

Source:test_pretty.py

...33        ("scalar_dtypes", scalar_dtypes(xp)),34        ("boolean_dtypes", boolean_dtypes(xp)),35        ("numeric_dtypes", numeric_dtypes(xp)),36        ("integer_dtypes", integer_dtypes(xp)),37        ("unsigned_integer_dtypes", unsigned_integer_dtypes(xp)),38        ("floating_dtypes", floating_dtypes(xp)),39        # Namespaced strategies40        ("from_dtype", xps.from_dtype(xp.int8)),41        ("arrays", xps.arrays(xp.int8, 5)),42        ("scalar_dtypes", xps.scalar_dtypes()),43        ("boolean_dtypes", xps.boolean_dtypes()),44        ("numeric_dtypes", xps.numeric_dtypes()),45        ("integer_dtypes", xps.integer_dtypes()),46        ("unsigned_integer_dtypes", xps.unsigned_integer_dtypes()),47        ("floating_dtypes", xps.floating_dtypes()),48    ]49)50def test_xp_strategies_pretty_repr(name, strat):51    """Strategies that take xp use its __name__ for their own repr."""52    assert repr(strat).startswith(name), f"{name} not in strat repr"53    assert len(repr(strat)) < 100, "strat repr looks too long"...

strategies.py

Source:strategies.py

...3                                    unsigned_integer_dtypes)4from rasterio import check_dtype5st_rasterio_dtypes = st.one_of(6    integer_dtypes(),7    unsigned_integer_dtypes(),8    floating_dtypes(),...

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