hbSSKrSSKr\R"S5 SSKJrJrJrJr Sr Sr Sr Sr Sr S rS rS rS rS rSrSrSrg)Nsklearn) learn_gmm fisher_vectorFisherVectorExceptionDescriptorExceptionc[R"[5 [SSS9 SSS5 g!,(df  g=f)zTTest that DescriptorException is raised when wrong type for descriptions is passed. zcompletely wrong testn_modesNpytestraisesrrb/var/www/fran/franai/venv/lib/python3.13/site-packages/skimage/feature/tests/test_fisher_vector.py"test_gmm_wrong_descriptor_format_1rs( * +)15 , + +s / =c[R"[5 [[R "S5[R "S5/SS9 SSS5 g!,(df  g=f)zZTest that DescriptorException is raised when descriptors are of different dimensionality. )  r r Nr rrrnpzerosrrr"test_gmm_wrong_descriptor_format_2rs> * +288G$bhhw&78!D , + + 5A A'c[R"[5 [[R "S5[R "S5/SS9 SSS5 g!,(df  g=f)zPTest that DescriptorException is raised when not all descriptors are of rank 2. rr)rrr r r Nrrrr"test_gmm_wrong_descriptor_format_3r !s> * +288G$bhhz&:;QG , + +rc[R"[5 [/SQ/SQ/SS9 SSS5 g!,(df  g=f)zTest that DescriptorException is raised when elements of descriptor list are of the incorrect type (i.e. not a NumPy ndarray). )r r r Nr rrr"test_gmm_wrong_descriptor_format_4r$*s, * +9i(!4 , + +s 5 Ac[R"[5 [[R "S5[R "S5/SS9 SSS5 g!,(df  g=f)zqTest that FisherVectorException is raised when incorrect type for n_modes is passed into the learn_gmm function. rr not_validr Nr rrrrrrrr!test_gmm_wrong_num_modes_format_1r(3s> , -288G$bhhw&78+N . - -rc[R"[5 [[R "S5[R "S5/SS9 SSS5 g!,(df  g=f)zTest that FisherVectorException is raised when a number that is not a positive integer is passed into the n_modes argument of learn_gmm. rrr Nr'rrr!test_gmm_wrong_num_modes_format_2r+<s> , -288G$bhhw&78"E . - -rc[R"[5 [[R R S5SSS0S9 SSS5 g!,(df  g=f)ziTest that FisherVectorException is raised when wrong covariance type is passed in as a keyword argument. rrr"covariance_typefullr gm_argsN)r rrrrrandomrrrtest_gmm_wrong_covariance_typer3EsA , - II  X &.MyDifferentGaussianMixturerN)__name__ __module__ __qualname____firstlineno____static_attributes__rrrMyDifferentGaussianMixturerJs rrQr-N)r rrrrr)rQs rtest_fv_wrong_gmm_typerRs>   , -bhhx(*D*FG . - -s &A A"c .SnSnSU-U-U-n[S5Vs/sHBn[RR[RRSS5U45PMD nn[ XAS9n[ USU5n[ U5U:Xdeg s snf) at Test the Fisher vector computation given a GMM returned from the learn_gmm function. We simply assert that the dimensionality of the resulting Fisher vector is correct. The dimensionality of a Fisher vector is given by 2KD + K, where K is the number of Gaussians specified in the associated GMM, and D is the dimensionality of the descriptors using to estimate the GMM. r"rrr rNrangerr2randintrrlendim num_modes expected_dim_ descriptorsr; fisher_vecs r test_fv_e2erbs CIy=3&2LNSTViXi299##RYY%6%6q"%=s$CDiKX K 3C{1~s3J z?l ** * YsA Bc ,SnSnSU-U-U-n[S5Vs/sHBn[RR[RRSS5U45PMD nn[ XAS9n[ USUS S 9n[ U5U:Xdeg s snf) a} Test the improved Fisher vector computation given a GMM returned from the learn_gmm function. We simply assert that the dimensionality of the resulting Fisher vector is correct. The dimensionality of a Fisher vector is given by 2KD + K, where K is the number of Gaussians specified in the associated GMM, and D is the dimensionality of the descriptors using to estimate the GMM. rTrUr"rrrVr rT)improvedNrWr[s rtest_fv_e2e_improvedres CIy=3&2LNSTViXi299##RYY%6%6q"%=s$CDiKX K 3C{1~sTBJ z?l ** * YsA B)r numpyr importorskipskimage.feature._fisher_vectorrrrrrrr r$r(r+r3r<r@rGrRrbrerrrrisi I6EH5OF  $$&9" H+2+r