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(void)_err_no_memorymemoryview_copy_contentsbroadcast_leadingrefcount_copyingrefcount_objects_in_slice_slice_assign_scalarinit_bounds_sparseelkan_iter_chunked_denseelkan_iter_chunked_sparse__doc____signatures____self____module____reduce____dictoffset____vectorcalloffset____weaklistoffset__func_docfunc_name__name____qualname__func_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations___is_coroutineCythonUnboundCMethod_k_means_elkan__pyx_fuse_1init_bounds_dense__pyx_fuse_0init_bounds_denseintconst doubleconst floatC function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)%.200s does not export expected C function %.200sInterpreter change detected - this module can only be loaded into one interpreter per process.Shared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompiling__int__ returned non-int (type %.200s). 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Expected %zd from C header, got %zd from PyObject%.200s() keywords must be strings%s() got multiple values for keyword argument '%U'Unexpected format string character: '%c'Acquisition count is %d (line %d)ord() expected string of length 1, but %.200s foundord() expected a character, but string of length %zd foundinvalid vtable found for imported typejoin() result is too long for a Python string%s() got an unexpected keyword argument '%U'__annotations__ must be set to a dict object__name__ must be set to a string object__qualname__ must be set to a string object__kwdefaults__ must be set to a dict objectchanges to cyfunction.__kwdefaults__ will not currently affect the values used in function calls__defaults__ must be set to a tuple objectchanges to cyfunction.__defaults__ will not currently affect the values used in function callsfunction's dictionary may not be deletedsetting function's dictionary to a non-dict while calling a Python objectNULL result without error in PyObject_Callcalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionBuffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s'Expected a dimension of size %zu, got %zuExpected %d dimensions, got %dPython does not define a standard format string size for long double ('g')..Buffer dtype mismatch; next field is at offset %zd but %zd expectedBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'Cannot handle repeated arrays in format stringDoes not understand character buffer dtype format string ('%c')Expected a dimension of size %zu, got %dExpected a comma in format string, got '%c'Expected %d dimension(s), got %dUnexpected end of format string, expected ')'sklearn.cluster._k_means_elkan._update_chunk_sparseBuffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zu byte%s) does not match size of '%s' (%zu byte%s)Buffer exposes suboffsets but no stridesC-contiguous buffer is not indirect in dimension %dBuffer and memoryview are not contiguous in the same dimension.Buffer is not indirectly contiguous in dimension %d.Buffer is not indirectly accessible in dimension %d.Buffer not compatible with direct access in dimension %d.memviewslice is already initialized!C-contiguous buffer is not contiguous in dimension %dsklearn/cluster/_k_means_elkan.pyx%.200s() takes %.8s %zd positional argument%.1s (%zd given)object of type 'NoneType' has no len()only single character unicode strings can be converted to Py_UCS4, got length %zd'NoneType' object is not iterabledictionary changed size during iterationneed more than %zd value%.1s to unpack'NoneType' object is not subscriptable'NoneType' object has no attribute '%.30s'sklearn.cluster._k_means_elkan.__pyx_fused_cpdefsklearn.cluster._k_means_elkan.init_bounds_denseModule '_k_means_elkan' has already been imported. Re-initialisation is not supported.sklearn.cluster._k_means_elkancompile time Python version %d.%d of module '%.100s' %s runtime version %d.%dbase class '%.200s' is not a heap typeextension type '%.200s' has no __dict__ slot, but base type '%.200s' has: either add 'cdef dict __dict__' to the extension type or add '__slots__ = [...]' to the base typesklearn.cluster._k_means_commonfloat (float const *, float const *, int, int)__pyx_fuse_0_euclidean_dense_densedouble (double const *, double const *, int, int)__pyx_fuse_1_euclidean_dense_densefloat (__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, float, int)__pyx_fuse_0_euclidean_sparse_densedouble (__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, double, int)__pyx_fuse_1_euclidean_sparse_densevoid (__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, int __pyx_skip_dispatch)__pyx_fuse_0_relocate_empty_clusters_dense__pyx_fuse_1_relocate_empty_clusters_densevoid (__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, int __pyx_skip_dispatch)__pyx_fuse_0_relocate_empty_clusters_sparse__pyx_fuse_1_relocate_empty_clusters_sparsevoid (__Pyx_memviewslice, __Pyx_memviewslice)void (__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice)int (struct __pyx_array_obj *)struct __pyx_array_obj *(PyObject *, Py_ssize_t, char *, char const *, char *)PyObject *(PyObject *, int, int, __Pyx_TypeInfo const *)struct __pyx_memoryview_obj *(struct __pyx_memoryview_obj *, PyObject *)int (__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int)char *(Py_buffer *, char *, Py_ssize_t, Py_ssize_t)PyObject *(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int)__Pyx_memviewslice *(struct __pyx_memoryview_obj *, __Pyx_memviewslice *)void (struct __pyx_memoryview_obj *, __Pyx_memviewslice *)PyObject *(struct __pyx_memoryview_obj *)PyObject *(struct __pyx_memoryview_obj *, __Pyx_memviewslice *)char (__Pyx_memviewslice *, int)Py_ssize_t (__Pyx_memviewslice *, int)Py_ssize_t (Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char)void *(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int)int (int, Py_ssize_t, Py_ssize_t)int (PyObject *, PyObject *, int)int (__Pyx_memviewslice, __Pyx_memviewslice, int, int, int)void (__Pyx_memviewslice *, int, int)void (__Pyx_memviewslice *, int, int, int)void (char *, Py_ssize_t *, Py_ssize_t *, int, int)void (__Pyx_memviewslice *, int, size_t, void *, int)void (char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *)init sklearn.cluster._k_means_elkansklearn.cluster._k_means_elkan.init_bounds_sparsesklearn.cluster._k_means_elkan.elkan_iter_chunked_densesklearn.cluster._k_means_elkan.elkan_iter_chunked_sparse_cython_3_1_3.fused_cython_function_cython_3_1_3.cython_function_or_method_cython_3_1_3._common_types_metatypesklearn.cluster._k_means_elkan.__pyx_defaults__pyx_fuse_1elkan_iter_chunked_sparse__pyx_fuse_0elkan_iter_chunked_sparse__pyx_fuse_1elkan_iter_chunked_dense__pyx_fuse_0elkan_iter_chunked_dense__pyx_fuse_1init_bounds_sparse__pyx_fuse_0init_bounds_sparse  0  0  l,L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*L*,L*L*T,L*L*L*L*L*$,0,L*L*<,L*L*H,++L*L*+L*L*L*L*L*L*L*L*L*L*L*L*L*+,+L*+ ,x,+L*L*+L*L*L*}*`,L*}*R)V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V(V()V(V(^)V(V(V(V(V())V(V()V(V()").)V(V(:)V(V(V(V(V(V(V(V(V(V(V(V(V(F))(V((( )(V(V(j)V(V(V((v)V((+**+*****,,**,**,,,****************++,*,,,,**,***+,*+3,((3,(((((3,3,((3,((M,M,3,((((((((((((((((),{-=,(=,=,),),((),(((),),(), *)) *)))))++))+))+++)))))))))))))))) * *+)++++))+))) *+) *-,,,,,,,,,-,,-,,,,,,,,,,,,,,,,,,--,,,,,,,,,,,,,,,,,,,,,,,,.,.--P,-,P,,,,,,P,P,,,P,,,P,,P,,,/,,,,,n.,,,-,,,P,P,P,,P,P,P,P,,,P,,,,P,P,,'0,,,,1.,,,,-Jp5p p poo[F1ݵȵ#:%sU^UIU4UU U]\\\\\\\~iT?*t_J5 c N 9 $  | g R TTTT|TgTRT=T(TTSSSSޣɣu`K6! 8@kM3@k 7.@M3.@4*1*31__pyx_fatalerror00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899Single iteration of K-means Elkan algorithm with sparse input. Update labels and centers (inplace), for one iteration, distributed over data chunks. Parameters ---------- X : sparse matrix of shape (n_samples, n_features) The observations to cluster. Must be in CSR format. sample_weight : ndarray of shape (n_samples,), dtype=floating The weights for each observation in X. centers_old : ndarray of shape (n_clusters, n_features), dtype=floating Centers before previous iteration, placeholder for the centers after previous iteration. centers_new : ndarray of shape (n_clusters, n_features), dtype=floating Centers after previous iteration, placeholder for the new centers computed during this iteration. weight_in_clusters : ndarray of shape (n_clusters,), dtype=floating Placeholder for the sums of the weights of every observation assigned to each center. center_half_distances : ndarray of shape (n_clusters, n_clusters), dtype=floating Half pairwise distances between centers. distance_next_center : ndarray of shape (n_clusters,), dtype=floating Distance between each center its closest center. upper_bounds : ndarray of shape (n_samples,), dtype=floating Upper bound for the distance between each sample and its center, updated inplace. lower_bounds : ndarray of shape (n_samples, n_clusters), dtype=floating Lower bound for the distance between each sample and each center, updated inplace. labels : ndarray of shape (n_samples,), dtype=int labels assignment. center_shift : ndarray of shape (n_clusters,), dtype=floating Distance between old and new centers. n_threads : int The number of threads to be used by openmp. update_centers : bool - If True, the labels and the new centers will be computed, i.e. runs the E-step and the M-step of the algorithm. - If False, only the labels will be computed, i.e runs the E-step of the algorithm. This is useful especially when calling predict on a fitted model. Single iteration of K-means Elkan algorithm with dense input. Update labels and centers (inplace), for one iteration, distributed over data chunks. Parameters ---------- X : ndarray of shape (n_samples, n_features), dtype=floating The observations to cluster. sample_weight : ndarray of shape (n_samples,), dtype=floating The weights for each observation in X. centers_old : ndarray of shape (n_clusters, n_features), dtype=floating Centers before previous iteration, placeholder for the centers after previous iteration. centers_new : ndarray of shape (n_clusters, n_features), dtype=floating Centers after previous iteration, placeholder for the new centers computed during this iteration. weight_in_clusters : ndarray of shape (n_clusters,), dtype=floating Placeholder for the sums of the weights of every observation assigned to each center. center_half_distances : ndarray of shape (n_clusters, n_clusters), dtype=floating Half pairwise distances between centers. distance_next_center : ndarray of shape (n_clusters,), dtype=floating Distance between each center its closest center. upper_bounds : ndarray of shape (n_samples,), dtype=floating Upper bound for the distance between each sample and its center, updated inplace. lower_bounds : ndarray of shape (n_samples, n_clusters), dtype=floating Lower bound for the distance between each sample and each center, updated inplace. labels : ndarray of shape (n_samples,), dtype=int labels assignment. center_shift : ndarray of shape (n_clusters,), dtype=floating Distance between old and new centers. n_threads : int The number of threads to be used by openmp. update_centers : bool - If True, the labels and the new centers will be computed, i.e. runs the E-step and the M-step of the algorithm. - If False, only the labels will be computed, i.e runs the E-step of the algorithm. This is useful especially when calling predict on a fitted model. Initialize upper and lower bounds for each sample for sparse input data. Given X, centers and the pairwise distances divided by 2.0 between the centers this calculates the upper bounds and lower bounds for each sample. The upper bound for each sample is set to the distance between the sample and the closest center. The lower bound for each sample is a one-dimensional array of n_clusters. For each sample i assume that the previously assigned cluster is c1 and the previous closest distance is dist, for a new cluster c2, the lower_bound[i][c2] is set to distance between the sample and this new cluster, if and only if dist > center_half_distances[c1][c2]. This prevents computation of unnecessary distances for each sample to the clusters that it is unlikely to be assigned to. Parameters ---------- X : sparse matrix of shape (n_samples, n_features), dtype=floating The input data. Must be in CSR format. centers : ndarray of shape (n_clusters, n_features), dtype=floating The cluster centers. center_half_distances : ndarray of shape (n_clusters, n_clusters), dtype=floating The half of the distance between any 2 clusters centers. labels : ndarray of shape(n_samples), dtype=int The label for each sample. This array is modified in place. upper_bounds : ndarray of shape(n_samples,), dtype=floating The upper bound on the distance between each sample and its closest cluster center. This array is modified in place. lower_bounds : ndarray of shape(n_samples, n_clusters), dtype=floating The lower bound on the distance between each sample and each cluster center. This array is modified in place. n_threads : int The number of threads to be used by openmp. Initialize upper and lower bounds for each sample for dense input data. Given X, centers and the pairwise distances divided by 2.0 between the centers this calculates the upper bounds and lower bounds for each sample. The upper bound for each sample is set to the distance between the sample and the closest center. The lower bound for each sample is a one-dimensional array of n_clusters. For each sample i assume that the previously assigned cluster is c1 and the previous closest distance is dist, for a new cluster c2, the lower_bound[i][c2] is set to distance between the sample and this new cluster, if and only if dist > center_half_distances[c1][c2]. This prevents computation of unnecessary distances for each sample to the clusters that it is unlikely to be assigned to. Parameters ---------- X : ndarray of shape (n_samples, n_features), dtype=floating The input data. centers : ndarray of shape (n_clusters, n_features), dtype=floating The cluster centers. center_half_distances : ndarray of shape (n_clusters, n_clusters), dtype=floating The half of the distance between any 2 clusters centers. labels : ndarray of shape(n_samples), dtype=int The label for each sample. This array is modified in place. upper_bounds : ndarray of shape(n_samples,), dtype=floating The upper bound on the distance between each sample and its closest cluster center. This array is modified in place. lower_bounds : ndarray, of shape(n_samples, n_clusters), dtype=floating The lower bound on the distance between each sample and each cluster center. This array is modified in place. n_threads : int The number of threads to be used by openmp. elkan_iter_chunked_sparse[const double[::1],const double[:, ::1],double[:, ::1],double[::1],const double[:, ::1],const double[::1],double[::1],double[:, ::1],double[::1]]sklearn/cluster/_k_means_elkan.pyxinit_bounds_sparse[const float[:, ::1],const float[:, ::1],float[::1],float[:, ::1]]init_bounds_dense[const double[:, ::1],const double[:, ::1],const double[:, ::1],double[::1],double[:, ::1]]elkan_iter_chunked_dense[const float[:, ::1],const float[::1],const float[:, ::1],float[:, ::1],float[::1],const float[:, ::1],const float[::1],float[::1],float[:, ::1],float[::1]]elkan_iter_chunked_dense[const double[:, ::1],const double[::1],const double[:, ::1],double[:, ::1],double[::1],const double[:, ::1],const double[::1],double[::1],double[:, ::1],double[::1]]Function call with ambiguous argument types t q&F!1zA  qQaAQ nJb8HzAJb /iq XQ #Yb1Kqqaq 1Ct3k;baq"!4s+RqQaq  QLa{"L# 8D0A(B BBBK 8~BEH 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