o :ήcO @s"ddlmZddlmZddlZddlmZddlm Z ddl m Z ddl m Z egdZegd Zegd Zegd Zegd gd gd gdgdgdgdgd gd gd g Zegdgdgdgdgdgdgdgdgdgdg Zegd gdgdgdgdgdgdgdgd gd g Zegd gd gd!gd"gd#gZegd$gd%gd&gd'gd'gZegd(gd)gd(gd(ggd(gd*gd(gd(ggd(gd)gd(gd+ggd(gd(gd(gd+ggZegd,gd,gd,gd-ggd,gd,gd,gd.ggd,gd,gd/gd0ggd1gd1gd/gd0ggZegd2gd3gd)gZe d4eed5feed5feed6feed5feed7feed8fgd9d:Ze d;d8d5ge dd?Zd@dAZdS)B)ndimage)dataN)measure) expand_labels)testing)assert_array_equal)rrrrrrrrr rrrrrr)rrrrrrr r r r r r r r rrr)rrrrrrrrr r rrrrrr)rrrrrrr r r r r r r rrr) rrrrrrrrrrr) rrr r rrrrrrr) rr r r rrrrrrr) rr r rrrrrrrr) rrr rrrrrrr) rrrrrrrrrr r) r r r r r r rrrrr) r r r r r r r rrr r) r r r r r r r r r r r ) r r r r r r rr r r r ) r r r r r r r r r r r ) r r r r r rr r r r r ) r r r r r rrr r r r ) rrr rrrrr r r r ) rr r r r rrrrrr) r r r r r rrrrrr) r r r r r rrrr r r ) r r r r rrrrr r r ) rr r r rrrrr r r ) rrrrrrrrr r r ) rrrrrr r rrrr) rrr r rr r rrrr) rr r r rr rrrrr) rrr rrrrrrrr) r r r r r r r r r r r) r r r r r r r r r r r ) r r r r r r r r r r r ) r r r r r r r r r r r)rrrr)rrr)rr r r)rrr)r r r r )rr r r)rr r r )r r r r )r r r r )r r r r)rr rr)r rrrz-input_array, expected_output, expand_distancer g?rr cCst||}t||dS)N)rr) input_arrayexpected_outputexpand_distanceexpandedrT/tmp/pip-target-vg8gfxp4/lib/python/skimage/segmentation/tests/test_expand_labels.pytest_expand_labelss rndimdistancec Cstjdd|d}t|}t||d}|dk}t||||||t}t |}||}|j dkr?t ||ks?J||t} | j dkrUt | |ksWJdSdS)a2Check some invariants with label expansion. - New labels array should exactly contain the original labels array. - Distance to old labels array within new labels should never exceed input distance. - Distance beyond the expanded labels should always exceed the input distance. @g?)lengthblob_size_fractionn_dim)rrN) r binary_blobsrlabelrrastypeboolndidistance_transform_edtsizenpall) rrimglabelsr original_maskexpanded_only_mask distance_mapexpanded_distancesbeyond_expanded_distancesrrrtest_binary_blobss     r+cCs.ttd}ttjd}t||jkrJdS)a Check edge case behavior to detect upstream changes For edge cases where a pixel has the same distance to several regions, lexicographical order seems to determine which region gets to expand into this pixel given the current upstream behaviour in scipy.ndimage.distance_map_edt. As a result, we expect different results when transposing the array. If this test fails, something has changed upstream. r N)rSAMPLE_EDGECASE_BEHAVIOURTr"r#)rexpanded_transposerrrtest_edge_case_behaviours r/) scipyrrskimagernumpyr"r#skimage.segmentation._expand_labelsrskimage._sharedrskimage._shared.testingrarraySAMPLE1DSAMPLE1D_EXPANDED_3 EDGECASE1DEDGECASE1D_EXPANDED_3SAMPLE2DSAMPLE2D_EXPANDED_3SAMPLE2D_EXPANDED_1_5 EDGECASE2DEDGECASE2D_EXPANDED_4SAMPLE3DSAMPLE3D_EXPANDED_2r, parametrizerranger+r/rrrrs