python3.14-scikit-learn-1.9.0
checks.aarch64-linux.pkgs-voxterm
· build #9324
· raw
1elastic-arm-fb7216db: building krdzlb8pj6pambgs0ywv4i018jkknf4z-python3.14-scikit-learn-1.9.0.drv2/build/.attrs.sh: line 2: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8): No such file or directory3structuredAttrs is enabled4/nix/store/49cnv1lz3hiybz55z8lm8i401iqrpqyw-stdenv-linux/setup: line 587: warning: setlocale: LC_ALL: cannot change locale (en_US.UTF-8): No such file or directory5Sourcing python-remove-tests-dir-hook6Sourcing python-catch-conflicts-hook.sh7Sourcing python-remove-bin-bytecode-hook.sh8Sourcing pypa-build-hook9Using pypaBuildPhase10Sourcing python-runtime-deps-check-hook11Using pythonRuntimeDepsCheckHook12Sourcing pypa-install-hook13Using pypaInstallPhase14Sourcing python-imports-check-hook.sh15Using pythonImportsCheckPhase16Sourcing python-metadata-check-hook.sh17Using pythonMetadataCheckPhase18Sourcing python-namespaces-hook19Sourcing python-catch-conflicts-hook.sh20Sourcing pytest-check-hook21Using pytestCheckPhase22Using checkPhaseThreadLimitHook
unpackPhase
23unpacking source archive /nix/store/g6wpqw9w8sf5yg3ll4la5jllnqrpb3xc-scikit_learn-1.9.0.tar.gz24source root is scikit_learn-1.9.025setting SOURCE_DATE_EPOCH to timestamp 1780389159 of file "scikit_learn-1.9.0/sklearn/utils/_weight_vector.pyx.tp"patchPhase
26applying patch /nix/store/lwh59ji6405rip5pig1qxa8x2wp7blx2-aeadb51af96556dd0f884c0037c9dc9993449538.patch27patching file sklearn/utils/_repr_html/features.css28patching file sklearn/utils/_repr_html/features.py29patching file sklearn/utils/_repr_html/tests/test_features.py30patching file doc/whats_new/upcoming_changes/sklearn.utils/34362.fix.rstconfigurePhase
31no configure script, doing nothingbuildPhase
32Executing pypaBuildPhase33Creating a wheel...34pypa build flags: --no-isolation --outdir dist/ --wheel -Cbuild-dir=build35* Getting build dependencies for wheel...36* Building wheel...37+ meson setup /build/scikit_learn-1.9.0 /build/scikit_learn-1.9.0/build -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/build/scikit_learn-1.9.0/build/meson-python-native-file.ini38The Meson build system39Version: 1.12.140Source dir: /build/scikit_learn-1.9.041Build dir: /build/scikit_learn-1.9.0/build42Build type: native build43Project name: scikit-learn44Project version: 1.9.045C compiler for the host machine: gcc (gcc 16.2.0 "gcc (GCC) 16.2.0")46C linker for the host machine: gcc ld.bfd 2.4647C++ compiler for the host machine: g++ (gcc 16.2.0 "g++ (GCC) 16.2.0")48C++ linker for the host machine: g++ ld.bfd 2.4649Cython compiler for the host machine: cython (cython 3.3.0)50Host machine cpu family: aarch6451Host machine cpu: aarch6452Compiler for C supports arguments -Wno-unused-but-set-variable: YES 53Compiler for C supports arguments -Wno-unused-function: YES 54Compiler for C supports arguments -Wno-conversion: YES 55Compiler for C supports arguments -Wno-misleading-indentation: YES 56Library m found: YES57Program sklearn/_build_utils/tempita.py found: YES (/nix/store/lq2fsnmg0q3y0vlxn91w8s8wvj1m6fld-python3-3.14.8/bin/python3.14 /build/scikit_learn-1.9.0/sklearn/_build_utils/tempita.py)58Program python found: YES (/nix/store/lq2fsnmg0q3y0vlxn91w8s8wvj1m6fld-python3-3.14.8/bin/python3.14)59Run-time dependency OpenMP for c found: YES 5.260Program cython found: YES (/nix/store/zp76x23aywl5l7ikaxm0j96hk4jgp0xb-python3.14-cython-3.3.0/bin/cython)61Did not find pkg-config by name 'pkg-config'62Found pkg-config: NO63Run-time dependency python found: YES 3.1464Checking if "scipy cython_blas blas_int" compiles: YES 65Configuring _blas_int.pxi using configuration66Build targets in project: 1166768scikit-learn 1.9.06970 User defined options71 Native files: /build/scikit_learn-1.9.0/build/meson-python-native-file.ini72 b_ndebug : if-release73 b_vscrt : md74 buildtype : release7576Found ninja-1.13.2 at /nix/store/6iwk9hppg8q0fr54mg28klc1hgaizhaa-ninja-1.13.2/bin/ninja77+ /nix/store/6iwk9hppg8q0fr54mg28klc1hgaizhaa-ninja-1.13.2/bin/ninja78[107/257] Generating 'sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c'79warning: sklearn/neighbors/_binary_tree.pxi:1091:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier80warning: sklearn/neighbors/_binary_tree.pxi:1957:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier81warning: sklearn/neighbors/_binary_tree.pxi:2052:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier82warning: sklearn/neighbors/_binary_tree.pxi:2221:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier83warning: sklearn/neighbors/_binary_tree.pxi:2344:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier84warning: sklearn/neighbors/_binary_tree.pxi:2401:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier85warning: sklearn/neighbors/_binary_tree.pxi:2402:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier86warning: sklearn/neighbors/_binary_tree.pxi:2726:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier87warning: sklearn/neighbors/_binary_tree.pxi:3592:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier88warning: sklearn/neighbors/_binary_tree.pxi:3687:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier89warning: sklearn/neighbors/_binary_tree.pxi:3856:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier90warning: sklearn/neighbors/_binary_tree.pxi:3979:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier91warning: sklearn/neighbors/_binary_tree.pxi:4036:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier92warning: sklearn/neighbors/_binary_tree.pxi:4037:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier93warning: sklearn/neighbors/_kd_tree.pyx:74:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier94warning: sklearn/neighbors/_kd_tree.pyx:75:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier95warning: sklearn/neighbors/_kd_tree.pyx:342:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier96warning: sklearn/neighbors/_kd_tree.pyx:343:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier97[113/257] Generating 'sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c'98warning: sklearn/neighbors/_binary_tree.pxi:1091:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier99warning: sklearn/neighbors/_binary_tree.pxi:1957:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier100warning: sklearn/neighbors/_binary_tree.pxi:2052:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier101warning: sklearn/neighbors/_binary_tree.pxi:2221:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier102warning: sklearn/neighbors/_binary_tree.pxi:2344:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier103warning: sklearn/neighbors/_binary_tree.pxi:2401:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier104warning: sklearn/neighbors/_binary_tree.pxi:2402:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier105warning: sklearn/neighbors/_binary_tree.pxi:2726:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier106warning: sklearn/neighbors/_binary_tree.pxi:3592:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier107warning: sklearn/neighbors/_binary_tree.pxi:3687:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier108warning: sklearn/neighbors/_binary_tree.pxi:3856:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier109warning: sklearn/neighbors/_binary_tree.pxi:3979:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier110warning: sklearn/neighbors/_binary_tree.pxi:4036:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier111warning: sklearn/neighbors/_binary_tree.pxi:4037:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier112warning: sklearn/neighbors/_ball_tree.pyx:107:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier113warning: sklearn/neighbors/_ball_tree.pyx:310:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier114[126/257] Compiling C++ object sklearn/svm/liblibsvm-skl.a.p/src_libsvm_libsvm_template.cpp.o115In file included from ../sklearn/svm/src/libsvm/libsvm_template.cpp:6:116../sklearn/svm/src/libsvm/svm.cpp: In function ‘void svm::solve_epsilon_svr(const svm_problem*, const svm_parameter*, double*, Solver::SolutionInfo*, BlasFunctions*)’:117../sklearn/svm/src/libsvm/svm.cpp:1784:16: warning: variable ‘sum_alpha’ set but not used [-Wunused-but-set-variable=]118 1784 | double sum_alpha = 0;119 | ^~~~~~~~~120In file included from ../sklearn/svm/src/libsvm/libsvm_template.cpp:8:121../sklearn/svm/src/libsvm/svm.cpp: In function ‘void svm_csr::solve_epsilon_svr(const svm_csr_problem*, const svm_parameter*, double*, Solver::SolutionInfo*, BlasFunctions*)’:122../sklearn/svm/src/libsvm/svm.cpp:1784:16: warning: variable ‘sum_alpha’ set but not used [-Wunused-but-set-variable=]123 1784 | double sum_alpha = 0;124 | ^~~~~~~~~125../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm::decision_function svm::svm_train_one(const svm_problem*, const svm_parameter*, double, double, int*, BlasFunctions*)’:126../sklearn/svm/src/libsvm/svm.cpp:1886:13: warning: ‘si.svm::Solver::SolutionInfo::obj’ may be used uninitialized [-Wmaybe-uninitialized]127 1886 | info("obj = %f, rho = %f\n",si.obj,si.rho);128 | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~129../sklearn/svm/src/libsvm/svm.cpp:1859:30: note: ‘si’ declared here130 1859 | Solver::SolutionInfo si;131 | ^~132../sklearn/svm/src/libsvm/svm.cpp:1886:13: warning: ‘si.svm::Solver::SolutionInfo::rho’ may be used uninitialized [-Wmaybe-uninitialized]133 1886 | info("obj = %f, rho = %f\n",si.obj,si.rho);134 | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~135../sklearn/svm/src/libsvm/svm.cpp:1859:30: note: ‘si’ declared here136 1859 | Solver::SolutionInfo si;137 | ^~138../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm_csr::decision_function svm_csr::svm_train_one(const svm_csr_problem*, const svm_parameter*, double, double, int*, BlasFunctions*)’:139../sklearn/svm/src/libsvm/svm.cpp:1886:13: warning: ‘si.svm_csr::Solver::SolutionInfo::obj’ may be used uninitialized [-Wmaybe-uninitialized]140 1886 | info("obj = %f, rho = %f\n",si.obj,si.rho);141 | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~142../sklearn/svm/src/libsvm/svm.cpp:1859:30: note: ‘si’ declared here143 1859 | Solver::SolutionInfo si;144 | ^~145../sklearn/svm/src/libsvm/svm.cpp:1886:13: warning: ‘si.svm_csr::Solver::SolutionInfo::rho’ may be used uninitialized [-Wmaybe-uninitialized]146 1886 | info("obj = %f, rho = %f\n",si.obj,si.rho);147 | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~148../sklearn/svm/src/libsvm/svm.cpp:1859:30: note: ‘si’ declared here149 1859 | Solver::SolutionInfo si;150 | ^~151[137/257] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/meson-generated__base.cpp.o152sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp: In function ‘void __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction64__parallel_on_X(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction64*)’:153sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:6606:21: warning: ‘__pyx_v_thread_num’ is used uninitialized [-Wuninitialized]154 6606 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_1, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_self->chunks_n_threads != 0 ? __pyx_v_self->chunks_n_threads : omp_get_max_threads())155 | ^~~156sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:6577:45: note: ‘__pyx_v_thread_num’ was declared here157 6577 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;158 | ^~~~~~~~~~~~~~~~~~159sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp: In function ‘void __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction32__parallel_on_X(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction32*)’:160sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:9710:21: warning: ‘__pyx_v_thread_num’ is used uninitialized [-Wuninitialized]161 9710 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_1, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_self->chunks_n_threads != 0 ? __pyx_v_self->chunks_n_threads : omp_get_max_threads())162 | ^~~163sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:9681:45: note: ‘__pyx_v_thread_num’ was declared here164 9681 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;165 | ^~~~~~~~~~~~~~~~~~166sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp: In function ‘void __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction32__parallel_on_Y(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction32*)’:167sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:10097:23: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized]16810097 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_self->chunks_n_threads != 0 ? __pyx_v_self->chunks_n_threads : omp_get_max_threads())169 | ^~~170sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:9993:45: note: ‘__pyx_v_thread_num’ was declared here171 9993 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;172 | ^~~~~~~~~~~~~~~~~~173sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp: In function ‘void __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction64__parallel_on_Y(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction64*)’:174sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:6993:23: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized]175 6993 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_self->chunks_n_threads != 0 ? __pyx_v_self->chunks_n_threads : omp_get_max_threads())176 | ^~~177sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:6889:45: note: ‘__pyx_v_thread_num’ was declared here178 6889 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;179 | ^~~~~~~~~~~~~~~~~~180In function ‘__Pyx_memviewslice __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base__sqeuclidean_row_norms32_dense(__Pyx_memviewslice, __pyx_t_7sklearn_5utils_9_typedefs_intp_t)’,181 inlined from ‘__Pyx_memviewslice __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base__sqeuclidean_row_norms32(PyObject*, __pyx_t_7sklearn_5utils_9_typedefs_intp_t, int)’ at sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:8564:113:182sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:4809:21: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized]183 4809 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18) num_threads(__pyx_v_num_threads != 0 ? __pyx_v_num_threads : omp_get_max_threads())184 | ^~~185sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp: In function ‘__Pyx_memviewslice __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base__sqeuclidean_row_norms32(PyObject*, __pyx_t_7sklearn_5utils_9_typedefs_intp_t, int)’:186sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:4629:45: note: ‘__pyx_v_thread_num’ was declared here187 4629 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;188 | ^~~~~~~~~~~~~~~~~~189[141/257] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/meson-generated__k_means_minibatch.c.o190sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c: In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_6_minibatch_update_dense’:191sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5712:21: warning: ‘__pyx_v_indices’ is used uninitialized [-Wuninitialized]192 5712 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_1, __pyx_t_2, __pyx_t_3) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())193 | ^~~194sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5666:8: note: ‘__pyx_v_indices’ was declared here195 5666 | int *__pyx_v_indices;196 | ^~~~~~~~~~~~~~~197sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c: In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_4_minibatch_update_dense’:198sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5431:21: warning: ‘__pyx_v_indices’ is used uninitialized [-Wuninitialized]199 5431 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_1, __pyx_t_2, __pyx_t_3) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())200 | ^~~201sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5385:8: note: ‘__pyx_v_indices’ was declared here202 5385 | int *__pyx_v_indices;203 | ^~~~~~~~~~~~~~~204In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_12_minibatch_update_sparse’,205 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_18_k_means_minibatch_13_minibatch_update_sparse’ at sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:7220:13:206sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:7348:21: warning: ‘__pyx_v_indices’ may be used uninitialized [-Wmaybe-uninitialized]207 7348 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())208 | ^~~209sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_18_k_means_minibatch_13_minibatch_update_sparse’:210sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:7243:8: note: ‘__pyx_v_indices’ was declared here211 7243 | int *__pyx_v_indices;212 | ^~~~~~~~~~~~~~~213In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_10_minibatch_update_sparse’,214 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_18_k_means_minibatch_11_minibatch_update_sparse’ at sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6867:13:215sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6995:21: warning: ‘__pyx_v_indices’ may be used uninitialized [-Wmaybe-uninitialized]216 6995 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())217 | ^~~218sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_18_k_means_minibatch_11_minibatch_update_sparse’:219sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6890:8: note: ‘__pyx_v_indices’ was declared here220 6890 | int *__pyx_v_indices;221 | ^~~~~~~~~~~~~~~222[147/257] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/meson-generated__argkmin.cpp.o223sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp: In function ‘_ZL102__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_8_argkmin_9ArgKmin32_compute_exact_distancesP79__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_8_argkmin_ArgKmin32._omp_fn.0’:224sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp:11707:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized]22511707 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno;226 | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~227sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp:11570:7: note: ‘__pyx_clineno’ was declared here22811570 | int __pyx_clineno = 0;229 | ^~~~~~~~~~~~~230sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp: In function ‘_ZL102__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_8_argkmin_9ArgKmin64_compute_exact_distancesP79__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_8_argkmin_ArgKmin64._omp_fn.0’:231sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp:7012:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized]232 7012 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno;233 | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~234sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp:6875:7: note: ‘__pyx_clineno’ was declared here235 6875 | int __pyx_clineno = 0;236 | ^~~~~~~~~~~~~237[148/257] Compiling C object sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/meson-generated__k_means_lloyd.c.o238In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,239 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5534:13:240sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5876:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]241 5876 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_5) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())242 | ^~~243sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’:244sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5575:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here245 5575 | float *__pyx_v_weight_in_clusters_chunk;246 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~247In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,248 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5534:13:249sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5876:21: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized]250 5876 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_5) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())251 | ^~~252sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’:253sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5576:10: note: ‘__pyx_v_pairwise_distances_chunk’ was declared here254 5576 | float *__pyx_v_pairwise_distances_chunk;255 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~256In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,257 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5534:13:258sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5876:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]259 5876 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_5) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())260 | ^~~261sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’:262sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5572:7: note: ‘__pyx_v_k’ was declared here263 5572 | int __pyx_v_k;264 | ^~~~~~~~~265In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,266 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5534:13:267sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5876:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]268 5876 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_5) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())269 | ^~~270sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’:271sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5571:7: note: ‘__pyx_v_j’ was declared here272 5571 | int __pyx_v_j;273 | ^~~~~~~~~274In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,275 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5534:13:276sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5876:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]277 5876 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_5) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())278 | ^~~279sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’:280sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5574:10: note: ‘__pyx_v_centers_new_chunk’ was declared here281 5574 | float *__pyx_v_centers_new_chunk;282 | ^~~~~~~~~~~~~~~~~~~~~~~~~283In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’,284 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9794:13:285sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:10207:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]28610207 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_5) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_6, __pyx_t_7) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())287 | ^~~288sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’:289sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9837:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here290 9837 | double *__pyx_v_weight_in_clusters_chunk;291 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~292In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’,293 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9794:13:294sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:10207:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]29510207 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_5) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_6, __pyx_t_7) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())296 | ^~~297sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’:298sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9831:7: note: ‘__pyx_v_k’ was declared here299 9831 | int __pyx_v_k;300 | ^~~~~~~~~301In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’,302 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9794:13:303sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:10207:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]30410207 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_5) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_6, __pyx_t_7) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())305 | ^~~306sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’:307sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9830:7: note: ‘__pyx_v_j’ was declared here308 9830 | int __pyx_v_j;309 | ^~~~~~~~~310In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’,311 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9794:13:312sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:10207:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]31310207 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_5) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_6, __pyx_t_7) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())314 | ^~~315sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’:316sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9836:11: note: ‘__pyx_v_centers_new_chunk’ was declared here317 9836 | double *__pyx_v_centers_new_chunk;318 | ^~~~~~~~~~~~~~~~~~~~~~~~~319In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’,320 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8585:13:321sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8998:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]322 8998 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_5) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_6, __pyx_t_7) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())323 | ^~~324sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’:325sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8628:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here326 8628 | float *__pyx_v_weight_in_clusters_chunk;327 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~328In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’,329 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8585:13:330sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8998:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]331 8998 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_5) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_6, __pyx_t_7) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())332 | ^~~333sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’:334sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8622:7: note: ‘__pyx_v_k’ was declared here335 8622 | int __pyx_v_k;336 | ^~~~~~~~~337In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’,338 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8585:13:339sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8998:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]340 8998 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_5) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_6, __pyx_t_7) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())341 | ^~~342sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’:343sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8621:7: note: ‘__pyx_v_j’ was declared here344 8621 | int __pyx_v_j;345 | ^~~~~~~~~346In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’,347 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8585:13:348sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8998:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]349 8998 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_5) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_6, __pyx_t_7) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())350 | ^~~351sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’:352sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8627:10: note: ‘__pyx_v_centers_new_chunk’ was declared here353 8627 | float *__pyx_v_centers_new_chunk;354 | ^~~~~~~~~~~~~~~~~~~~~~~~~355In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,356 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6626:13:357sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6968:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]358 6968 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_5) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())359 | ^~~360sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’:361sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6667:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here362 6667 | double *__pyx_v_weight_in_clusters_chunk;363 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~364In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,365 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6626:13:366sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6968:21: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized]367 6968 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_5) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())368 | ^~~369sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’:370sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6668:11: note: ‘__pyx_v_pairwise_distances_chunk’ was declared here371 6668 | double *__pyx_v_pairwise_distances_chunk;372 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~373In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,374 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6626:13:375sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6968:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]376 6968 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_5) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())377 | ^~~378sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’:379sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6664:7: note: ‘__pyx_v_k’ was declared here380 6664 | int __pyx_v_k;381 | ^~~~~~~~~382In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,383 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6626:13:384sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6968:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]385 6968 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_5) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())386 | ^~~387sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’:388sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6663:7: note: ‘__pyx_v_j’ was declared here389 6663 | int __pyx_v_j;390 | ^~~~~~~~~391In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,392 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6626:13:393sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6968:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]394 6968 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_5) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())395 | ^~~396sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’:397sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6666:11: note: ‘__pyx_v_centers_new_chunk’ was declared here398 6666 | double *__pyx_v_centers_new_chunk;399 | ^~~~~~~~~~~~~~~~~~~~~~~~~400[154/257] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/meson-generated__radius_neighbors.cpp.o401sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp: In function ‘_ZL121__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_17_radius_neighbors_17RadiusNeighbors32_compute_exact_distancesP97__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_17_radius_neighbors_RadiusNeighbors32._omp_fn.0’:402sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:14827:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized]40314827 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno;404 | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~405sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:14699:7: note: ‘__pyx_clineno’ was declared here40614699 | int __pyx_clineno = 0;407 | ^~~~~~~~~~~~~408sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp: In function ‘_ZL121__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_17_radius_neighbors_17RadiusNeighbors64_compute_exact_distancesP97__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_17_radius_neighbors_RadiusNeighbors64._omp_fn.0’:409sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:10383:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized]41010383 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno;411 | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~412sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:10255:7: note: ‘__pyx_clineno’ was declared here41310255 | int __pyx_clineno = 0;414 | ^~~~~~~~~~~~~415[158/257] Compiling C object sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/meson-generated__k_means_elkan.c.o416In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’,417 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13681:13:418sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:14092:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]41914092 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_7) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())420 | ^~~421sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’:422sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13729:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here42313729 | double *__pyx_v_weight_in_clusters_chunk;424 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~425In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’,426 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13681:13:427sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:14092:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]42814092 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_7) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())429 | ^~~430sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’:431sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13726:7: note: ‘__pyx_v_k’ was declared here43213726 | int __pyx_v_k;433 | ^~~~~~~~~434In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’,435 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13681:13:436sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:14092:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]43714092 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_7) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())438 | ^~~439sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’:440sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13725:7: note: ‘__pyx_v_j’ was declared here44113725 | int __pyx_v_j;442 | ^~~~~~~~~443In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’,444 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13681:13:445sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:14092:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]44614092 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_7) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())447 | ^~~448sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’:449sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13728:11: note: ‘__pyx_v_centers_new_chunk’ was declared here45013728 | double *__pyx_v_centers_new_chunk;451 | ^~~~~~~~~~~~~~~~~~~~~~~~~452In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’,453 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12279:13:454sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12690:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]45512690 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_7) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())456 | ^~~457sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’:458sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12327:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here45912327 | float *__pyx_v_weight_in_clusters_chunk;460 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~461In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’,462 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12279:13:463sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12690:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]46412690 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_7) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())465 | ^~~466sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’:467sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12324:7: note: ‘__pyx_v_k’ was declared here46812324 | int __pyx_v_k;469 | ^~~~~~~~~470In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’,471 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12279:13:472sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12690:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]47312690 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_7) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())474 | ^~~475sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’:476sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12323:7: note: ‘__pyx_v_j’ was declared here47712323 | int __pyx_v_j;478 | ^~~~~~~~~479In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’,480 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12279:13:481sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12690:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]48212690 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_7) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())483 | ^~~484sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’:485sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12326:10: note: ‘__pyx_v_centers_new_chunk’ was declared here48612326 | float *__pyx_v_centers_new_chunk;487 | ^~~~~~~~~~~~~~~~~~~~~~~~~488In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’,489 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9808:13:490sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:10099:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]49110099 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_16, __pyx_t_17, __pyx_t_2, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_10, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())492 | ^~~493sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’:494sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9853:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here495 9853 | double *__pyx_v_weight_in_clusters_chunk;496 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~497In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’,498 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9808:13:499sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:10099:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]50010099 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_16, __pyx_t_17, __pyx_t_2, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_10, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())501 | ^~~502sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’:503sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9851:7: note: ‘__pyx_v_k’ was declared here504 9851 | int __pyx_v_k;505 | ^~~~~~~~~506In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’,507 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9808:13:508sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:10099:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]50910099 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_16, __pyx_t_17, __pyx_t_2, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_10, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())510 | ^~~511sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’:512sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9850:7: note: ‘__pyx_v_j’ was declared here513 9850 | int __pyx_v_j;514 | ^~~~~~~~~515In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’,516 inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9808:13:517sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:10099:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]51810099 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_16, __pyx_t_17, __pyx_t_2, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_10, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())519 | ^~~520sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’:521sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9852:11: note: ‘__pyx_v_centers_new_chunk’ was declared here522 9852 | double *__pyx_v_centers_new_chunk;523 | ^~~~~~~~~~~~~~~~~~~~~~~~~524In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’,525 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8596:13:526sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8887:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]527 8887 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_16, __pyx_t_17, __pyx_t_2, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_10, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())528 | ^~~529sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’:530sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8641:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here531 8641 | float *__pyx_v_weight_in_clusters_chunk;532 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~533In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’,534 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8596:13:535sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8887:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]536 8887 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_16, __pyx_t_17, __pyx_t_2, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_10, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())537 | ^~~538sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’:539sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8639:7: note: ‘__pyx_v_k’ was declared here540 8639 | int __pyx_v_k;541 | ^~~~~~~~~542In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’,543 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8596:13:544sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8887:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]545 8887 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_16, __pyx_t_17, __pyx_t_2, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_10, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())546 | ^~~547sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’:548sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8638:7: note: ‘__pyx_v_j’ was declared here549 8638 | int __pyx_v_j;550 | ^~~~~~~~~551In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’,552 inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8596:13:553sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8887:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]554 8887 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_16, __pyx_t_17, __pyx_t_2, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_10, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())555 | ^~~556sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’:557sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8640:10: note: ‘__pyx_v_centers_new_chunk’ was declared here558 8640 | float *__pyx_v_centers_new_chunk;559 | ^~~~~~~~~~~~~~~~~~~~~~~~~560[160/257] Compiling C object sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/meson-generated__barnes_hut_tsne.c.o561sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c: In function ‘__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative’:562sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:7212:21: warning: ‘__pyx_v_summary’ is used uninitialized [-Wuninitialized]563 7212 | #pragma omp parallel firstprivate(__pyx_v_force, __pyx_v_neg_force, __pyx_v_pos, __pyx_v_summary) reduction(+:__pyx_v_dta) reduction(+:__pyx_v_dtb) reduction(+:__pyx_v_sum_Q) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads != 0 ? __pyx_v_num_threads : omp_get_max_threads())564 | ^~~565sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:7058:10: note: ‘__pyx_v_summary’ was declared here566 7058 | float *__pyx_v_summary;567 | ^~~~~~~~~~~~~~~568sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:7212:21: warning: ‘__pyx_v_pos’ is used uninitialized [-Wuninitialized]569 7212 | #pragma omp parallel firstprivate(__pyx_v_force, __pyx_v_neg_force, __pyx_v_pos, __pyx_v_summary) reduction(+:__pyx_v_dta) reduction(+:__pyx_v_dtb) reduction(+:__pyx_v_sum_Q) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads != 0 ? __pyx_v_num_threads : omp_get_max_threads())570 | ^~~571sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:7053:10: note: ‘__pyx_v_pos’ was declared here572 7053 | float *__pyx_v_pos;573 | ^~~~~~~~~~~574sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:7212:21: warning: ‘__pyx_v_neg_force’ is used uninitialized [-Wuninitialized]575 7212 | #pragma omp parallel firstprivate(__pyx_v_force, __pyx_v_neg_force, __pyx_v_pos, __pyx_v_summary) reduction(+:__pyx_v_dta) reduction(+:__pyx_v_dtb) reduction(+:__pyx_v_sum_Q) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads != 0 ? __pyx_v_num_threads : omp_get_max_threads())576 | ^~~577sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:7052:10: note: ‘__pyx_v_neg_force’ was declared here578 7052 | float *__pyx_v_neg_force;579 | ^~~~~~~~~~~~~~~~~580sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:7212:21: warning: ‘__pyx_v_force’ is used uninitialized [-Wuninitialized]581 7212 | #pragma omp parallel firstprivate(__pyx_v_force, __pyx_v_neg_force, __pyx_v_pos, __pyx_v_summary) reduction(+:__pyx_v_dta) reduction(+:__pyx_v_dtb) reduction(+:__pyx_v_sum_Q) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads != 0 ? __pyx_v_num_threads : omp_get_max_threads())582 | ^~~583sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:7051:10: note: ‘__pyx_v_force’ was declared here584 7051 | float *__pyx_v_force;585 | ^~~~~~~~~~~~~586sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c: In function ‘__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_positive’:587sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6609:21: warning: ‘__pyx_v_buff’ is used uninitialized [-Wuninitialized]588 6609 | #pragma omp parallel firstprivate(__pyx_v_buff) reduction(+:__pyx_v_C) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads != 0 ? __pyx_v_num_threads : omp_get_max_threads())589 | ^~~590sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6486:10: note: ‘__pyx_v_buff’ was declared here591 6486 | float *__pyx_v_buff;592 | ^~~~~~~~~~~~593[246/257] Compiling C object sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated__cd_fast.c.o594sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_12linear_model_8_cd_fast_gap_enet_multi_task.isra’:595sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:26342:17: warning: ‘__pyx_v_Ry’ may be used uninitialized [-Wmaybe-uninitialized]59626342 | __pyx_v_gap = ((__pyx_v_R_norm2 + ((0.5 * __pyx_v_beta) * __pyx_v_w_l2_norm2)) - __pyx_v_Ry);597 | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~598sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:25883:10: note: ‘__pyx_v_Ry’ was declared here59925883 | double __pyx_v_Ry;600 | ^~~~~~~~~~601sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_12linear_model_8_cd_fast_gap_enet_multi_task.isra’:602sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:25553:84: warning: ‘__pyx_v_Ry’ may be used uninitialized [-Wmaybe-uninitialized]60325553 | __pyx_v_gap = ((__pyx_v_R_norm2 + ((0.5 * __pyx_v_beta) * __pyx_v_w_l2_norm2)) - __pyx_v_Ry);604 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~605sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:25094:9: note: ‘__pyx_v_Ry’ was declared here60625094 | float __pyx_v_Ry;607 | ^~~~~~~~~~608sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_12linear_model_8_cd_fast_gap_enet_gram.isra’:609sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:20536:17: warning: ‘__pyx_v_Ry’ may be used uninitialized [-Wmaybe-uninitialized]61020536 | __pyx_v_gap = ((__pyx_v_R_norm2 + ((0.5 * __pyx_v_beta) * __pyx_v_w_l2_norm2)) - __pyx_v_Ry);611 | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~612sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:20286:10: note: ‘__pyx_v_Ry’ was declared here61320286 | double __pyx_v_Ry;614 | ^~~~~~~~~~615sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_12linear_model_8_cd_fast_gap_enet_gram.isra’:616sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:20122:84: warning: ‘__pyx_v_Ry’ may be used uninitialized [-Wmaybe-uninitialized]61720122 | __pyx_v_gap = ((__pyx_v_R_norm2 + ((0.5 * __pyx_v_beta) * __pyx_v_w_l2_norm2)) - __pyx_v_Ry);618 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~619sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:19872:9: note: ‘__pyx_v_Ry’ was declared here62019872 | float __pyx_v_Ry;621 | ^~~~~~~~~~622sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_12linear_model_8_cd_fast_gap_enet_sparse.isra’:623sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:13997:17: warning: ‘__pyx_v_Ry’ may be used uninitialized [-Wmaybe-uninitialized]62413997 | __pyx_v_gap = ((__pyx_v_R_norm2 + ((0.5 * __pyx_v_beta) * __pyx_v_w_l2_norm2)) - __pyx_v_Ry);625 | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~626sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:13617:10: note: ‘__pyx_v_Ry’ was declared here62713617 | double __pyx_v_Ry;628 | ^~~~~~~~~~629sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_12linear_model_8_cd_fast_gap_enet_sparse.isra’:630sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:13376:84: warning: ‘__pyx_v_Ry’ may be used uninitialized [-Wmaybe-uninitialized]63113376 | __pyx_v_gap = ((__pyx_v_R_norm2 + ((0.5 * __pyx_v_beta) * __pyx_v_w_l2_norm2)) - __pyx_v_Ry);632 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~633sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:12996:9: note: ‘__pyx_v_Ry’ was declared here63412996 | float __pyx_v_Ry;635 | ^~~~~~~~~~636[250/257] Compiling C object sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/meson-generated__ball_tree.c.o637sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__recursive_build’:638sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:18292:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]63918292 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));640 | ^641sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__query_radius_single’:642sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:26185:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]64326185 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));644 | ^645sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_breadthfirst’:646sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:26794:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]64726794 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));648 | ^649sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’:650sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:27754:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]65127754 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));652 | ^653sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_single’:654sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:28420:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]65528420 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));656 | ^657sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_dual’:658sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:28869:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]65928869 | __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));660 | ^661sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:28879:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]66228879 | __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));663 | ^664sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__recursive_build’:665sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:33441:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]66633441 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));667 | ^668sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__query_radius_single’:669sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:41341:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]67041341 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));671 | ^672sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_breadthfirst’:673sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:41950:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]67441950 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));675 | ^676sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’:677sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:42910:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]67842910 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));679 | ^680sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_single’:681sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:43576:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]68243576 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));683 | ^684sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_dual’:685sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:44025:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]68644025 | __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));687 | ^688sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:44035:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]68944035 | __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));690 | ^691sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node64’:692sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:46383:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]69346383 | __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));694 | ^695sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node32’:696sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:47872:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]69747872 | __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));698 | ^699In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’,700 inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:28091:19:701sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:46132:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]70246132 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));703 | ^704sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’:705sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:27654:55: note: ‘__pyx_v_sample_weight’ was declared here70627654 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;707 | ^~~~~~~~~~~~~~~~~~~~~708In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’,709 inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:43247:19:710sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:46064:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]71146064 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));712 | ^713sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’:714sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:42810:55: note: ‘__pyx_v_sample_weight’ was declared here71542810 | __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight;716 | ^~~~~~~~~~~~~~~~~~~~~717[254/257] Compiling C object sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/meson-generated__kd_tree.c.o718sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__recursive_build’:719sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:18272:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]72018272 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));721 | ^722sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__query_radius_single’:723sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:26165:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]72426165 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));725 | ^726sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_breadthfirst’:727sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:26774:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]72826774 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));729 | ^730sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’:731sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:27734:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]73227734 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));733 | ^734sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_single’:735sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:28400:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]73628400 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));737 | ^738sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_dual’:739sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:28849:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]74028849 | __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));741 | ^742sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:28859:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]74328859 | __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));744 | ^745sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__recursive_build’:746sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:33421:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]74733421 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));748 | ^749sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__query_radius_single’:750sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:41321:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]75141321 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));752 | ^753sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_breadthfirst’:754sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:41930:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]75541930 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));756 | ^757sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’:758sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:42890:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]75942890 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));760 | ^761sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_single’:762sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:43556:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]76343556 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));764 | ^765sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_dual’:766sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:44005:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]76744005 | __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));768 | ^769sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:44015:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]77044015 | __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));771 | ^772sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node64’:773sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:46338:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]77446338 | __pyx_v_lower_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_1 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_3)) ))));775 | ^776sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:46350:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]77746350 | __pyx_v_upper_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));778 | ^779sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node32’:780sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:48319:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]78148319 | __pyx_v_lower_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_1 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_3)) ))));782 | ^783sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:48331:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]78448331 | __pyx_v_upper_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));785 | ^786In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_8_kd_tree__total_node_weight’,787 inlined from ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:28071:19:788sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:46112:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]78946112 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));790 | ^791sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’:792sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:27634:55: note: ‘__pyx_v_sample_weight’ was declared here79327634 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;794 | ^~~~~~~~~~~~~~~~~~~~~795In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_8_kd_tree__total_node_weight’,796 inlined from ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:43227:19:797sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:46044:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]79846044 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));799 | ^800sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’:801sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:42790:55: note: ‘__pyx_v_sample_weight’ was declared here80242790 | __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight;803 | ^~~~~~~~~~~~~~~~~~~~~804[256/257] Compiling C object sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/meson-generated__loss.c.o805In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_28loss_gradient’,806 inlined from ‘__pyx_fuse_0_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_29loss_gradient’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:89150:13:807sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:89242:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]80889242 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())809 | ^~~810sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_29loss_gradient’:811sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:89173:11: note: ‘__pyx_v_p’ was declared here81289173 | double *__pyx_v_p;813 | ^~~~~~~~~814In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_30loss_gradient’,815 inlined from ‘__pyx_fuse_0_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_31loss_gradient’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:89797:13:816sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:89889:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]81789889 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())818 | ^~~819sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_31loss_gradient’:820sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:89820:11: note: ‘__pyx_v_p’ was declared here82189820 | double *__pyx_v_p;822 | ^~~~~~~~~823In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_32loss_gradient’,824 inlined from ‘__pyx_fuse_1_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_33loss_gradient’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:90444:13:825sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:90536:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]82690536 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())827 | ^~~828sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_33loss_gradient’:829sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:90467:10: note: ‘__pyx_v_p’ was declared here83090467 | float *__pyx_v_p;831 | ^~~~~~~~~832In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_34loss_gradient’,833 inlined from ‘__pyx_fuse_1_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_35loss_gradient’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:91091:13:834sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:91183:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]83591183 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())836 | ^~~837sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_35loss_gradient’:838sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:91114:10: note: ‘__pyx_v_p’ was declared here83991114 | float *__pyx_v_p;840 | ^~~~~~~~~841In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_48gradient_hessian’,842 inlined from ‘__pyx_fuse_0_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_49gradient_hessian’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:94424:13:843sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:94515:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]84494515 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())845 | ^~~846sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_49gradient_hessian’:847sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:94446:11: note: ‘__pyx_v_p’ was declared here84894446 | double *__pyx_v_p;849 | ^~~~~~~~~850In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_50gradient_hessian’,851 inlined from ‘__pyx_fuse_0_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_51gradient_hessian’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:94971:13:852sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:95062:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]85395062 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())854 | ^~~855sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_51gradient_hessian’:856sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:94993:11: note: ‘__pyx_v_p’ was declared here85794993 | double *__pyx_v_p;858 | ^~~~~~~~~859In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_52gradient_hessian’,860 inlined from ‘__pyx_fuse_1_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_53gradient_hessian’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:95518:13:861sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:95609:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]86295609 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())863 | ^~~864sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_53gradient_hessian’:865sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:95540:10: note: ‘__pyx_v_p’ was declared here86695540 | float *__pyx_v_p;867 | ^~~~~~~~~868In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_54gradient_hessian’,869 inlined from ‘__pyx_fuse_1_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_55gradient_hessian’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:96065:13:870sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:96156:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]87196156 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())872 | ^~~873sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_55gradient_hessian’:874sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:96087:10: note: ‘__pyx_v_p’ was declared here87596087 | float *__pyx_v_p;876 | ^~~~~~~~~877In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_58gradient_proba’,878 inlined from ‘__pyx_fuse_0_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_59gradient_proba’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:96927:13:879sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:97019:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]88097019 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())881 | ^~~882sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_59gradient_proba’:883sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:96949:11: note: ‘__pyx_v_p’ was declared here88496949 | double *__pyx_v_p;885 | ^~~~~~~~~886In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_60gradient_proba’,887 inlined from ‘__pyx_fuse_0_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_61gradient_proba’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:97454:13:888sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:97546:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]88997546 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())890 | ^~~891sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_61gradient_proba’:892sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:97476:11: note: ‘__pyx_v_p’ was declared here89397476 | double *__pyx_v_p;894 | ^~~~~~~~~895In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_62gradient_proba’,896 inlined from ‘__pyx_fuse_1_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_63gradient_proba’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:97981:13:897sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:98073:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]89898073 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())899 | ^~~900sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_63gradient_proba’:901sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:98003:10: note: ‘__pyx_v_p’ was declared here90298003 | float *__pyx_v_p;903 | ^~~~~~~~~904In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_64gradient_proba’,905 inlined from ‘__pyx_fuse_1_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_65gradient_proba’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:98508:13:906sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:98600:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]90798600 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())908 | ^~~909sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_65gradient_proba’:910sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:98530:10: note: ‘__pyx_v_p’ was declared here91198530 | float *__pyx_v_p;912 | ^~~~~~~~~913In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_44gradient’,914 inlined from ‘__pyx_fuse_1_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_45gradient’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93586:13:915sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93676:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]91693676 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())917 | ^~~918sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_45gradient’:919sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93607:10: note: ‘__pyx_v_p’ was declared here92093607 | float *__pyx_v_p;921 | ^~~~~~~~~922In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_42gradient’,923 inlined from ‘__pyx_fuse_1_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_43gradient’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93072:13:924sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93162:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]92593162 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())926 | ^~~927sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_43gradient’:928sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93093:10: note: ‘__pyx_v_p’ was declared here92993093 | float *__pyx_v_p;930 | ^~~~~~~~~931In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_40gradient’,932 inlined from ‘__pyx_fuse_0_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_41gradient’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92558:13:933sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92648:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]93492648 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())935 | ^~~936sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_41gradient’:937sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92579:11: note: ‘__pyx_v_p’ was declared here93892579 | double *__pyx_v_p;939 | ^~~~~~~~~940In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_38gradient’,941 inlined from ‘__pyx_fuse_0_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_39gradient’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92044:13:942sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92134:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]94392134 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())944 | ^~~945sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_39gradient’:946sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92065:11: note: ‘__pyx_v_p’ was declared here94792065 | double *__pyx_v_p;948 | ^~~~~~~~~949In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_24loss’,950 inlined from ‘__pyx_fuse_1_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_25loss’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:88297:13:951sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:88383:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]95288383 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())953 | ^~~954sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_25loss’:955sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:88319:10: note: ‘__pyx_v_p’ was declared here95688319 | float *__pyx_v_p;957 | ^~~~~~~~~958In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_22loss’,959 inlined from ‘__pyx_fuse_1_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_23loss’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87768:13:960sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87854:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]96187854 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())962 | ^~~963sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_23loss’:964sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87790:10: note: ‘__pyx_v_p’ was declared here96587790 | float *__pyx_v_p;966 | ^~~~~~~~~967In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_20loss’,968 inlined from ‘__pyx_fuse_0_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_21loss’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87239:13:969sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87325:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]97087325 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())971 | ^~~972sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_21loss’:973sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87261:11: note: ‘__pyx_v_p’ was declared here97487261 | double *__pyx_v_p;975 | ^~~~~~~~~976In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_18loss’,977 inlined from ‘__pyx_fuse_0_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_19loss’ at sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:86710:13:978sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:86796:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]97986796 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8) num_threads(__pyx_v_n_threads != 0 ? __pyx_v_n_threads : omp_get_max_threads())980 | ^~~981sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_19loss’:982sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:86732:11: note: ‘__pyx_v_p’ was declared here98386732 | double *__pyx_v_p;984 | ^~~~~~~~~985[257/257] Linking target sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so986[984/984] /build/scikit_learn-1.9.0/sklearn/utils/tests/test_weight_vector.py987Successfully built scikit_learn-1.9.0-cp314-cp314-linux_aarch64.whl988Finished creating a wheel...989/build/scikit_learn-1.9.0/dist /build/scikit_learn-1.9.0990Unpacking to: unpacked/scikit_learn-1.9.0...OK991Repacking wheel as ./scikit_learn-1.9.0-cp314-cp314-linux_aarch64.whl...OK992/build/scikit_learn-1.9.0993Finished executing pypaBuildPhase994buildPhase completed in 1 minutes 56 secondspythonRuntimeDepsCheckHook
995Executing pythonRuntimeDepsCheck996Checking runtime dependencies for scikit_learn-1.9.0-cp314-cp314-linux_aarch64.whl997Finished executing pythonRuntimeDepsCheckinstallPhase
998Executing pypaInstallPhase999Successfully installed scikit_learn-1.9.0-cp314-cp314-linux_aarch64.whl1000Finished executing pypaInstallPhasepythonOutputDistPhase
1001Executing pythonOutputDistPhase1002Finished executing pythonOutputDistPhasefixupPhase
1003shrinking RPATHs of ELF executables and libraries in /nix/store/vy493ahhj9hgwj698ix5syr2p8d4bmm4-python3.14-scikit-learn-1.9.0-dist1004checking for references to /build/ in /nix/store/vy493ahhj9hgwj698ix5syr2p8d4bmm4-python3.14-scikit-learn-1.9.0-dist...1005patching script interpreter paths in /nix/store/vy493ahhj9hgwj698ix5syr2p8d4bmm4-python3.14-scikit-learn-1.9.0-dist1006shrinking RPATHs of ELF executables and libraries in /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.01007shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_extraction/_hashing_fast.cpython-314-aarch64-linux-gnu.so1008shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_partitioner.cpython-314-aarch64-linux-gnu.so1009shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_splitter.cpython-314-aarch64-linux-gnu.so1010shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_criterion.cpython-314-aarch64-linux-gnu.so1011shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_utils.cpython-314-aarch64-linux-gnu.so1012shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_tree.cpython-314-aarch64-linux-gnu.so1013shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/_cyutility.cpython-314-aarch64-linux-gnu.so1014shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/manifold/_utils.cpython-314-aarch64-linux-gnu.so1015shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so1016shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/_isotonic.cpython-314-aarch64-linux-gnu.so1017shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/__check_build/_check_build.cpython-314-aarch64-linux-gnu.so1018shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_sag_fast.cpython-314-aarch64-linux-gnu.so1019shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_sgd_fast.cpython-314-aarch64-linux-gnu.so1020shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so1021shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so1022shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_target_encoder_fast.cpython-314-aarch64-linux-gnu.so1023shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-aarch64-linux-gnu.so1024shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/datasets/_svmlight_format_fast.cpython-314-aarch64-linux-gnu.so1025shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-aarch64-linux-gnu.so1026shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-aarch64-linux-gnu.so1027shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-aarch64-linux-gnu.so1028shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-aarch64-linux-gnu.so1029shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-aarch64-linux-gnu.so1030shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-aarch64-linux-gnu.so1031shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_gradient_boosting.cpython-314-aarch64-linux-gnu.so1032shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/decomposition/_online_lda_fast.cpython-314-aarch64-linux-gnu.so1033shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/decomposition/_cdnmf_fast.cpython-314-aarch64-linux-gnu.so1034shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_partition_nodes.cpython-314-aarch64-linux-gnu.so1035shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_quad_tree.cpython-314-aarch64-linux-gnu.so1036shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so1037shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so1038shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/svm/_libsvm_sparse.cpython-314-aarch64-linux-gnu.so1039shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/svm/_liblinear.cpython-314-aarch64-linux-gnu.so1040shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/svm/_libsvm.cpython-314-aarch64-linux-gnu.so1041shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/svm/_newrand.cpython-314-aarch64-linux-gnu.so1042shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_heap.cpython-314-aarch64-linux-gnu.so1043shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/sparsefuncs_fast.cpython-314-aarch64-linux-gnu.so1044shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_fast_dict.cpython-314-aarch64-linux-gnu.so1045shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_openmp_helpers.cpython-314-aarch64-linux-gnu.so1046shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_cython_blas.cpython-314-aarch64-linux-gnu.so1047shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/murmurhash.cpython-314-aarch64-linux-gnu.so1048shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_bitset.cpython-314-aarch64-linux-gnu.so1049shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_vector_sentinel.cpython-314-aarch64-linux-gnu.so1050shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_sorting.cpython-314-aarch64-linux-gnu.so1051shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_seq_dataset.cpython-314-aarch64-linux-gnu.so1052shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_typedefs.cpython-314-aarch64-linux-gnu.so1053shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_weight_vector.cpython-314-aarch64-linux-gnu.so1054shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_random.cpython-314-aarch64-linux-gnu.so1055shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_isfinite.cpython-314-aarch64-linux-gnu.so1056shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/arrayfuncs.cpython-314-aarch64-linux-gnu.so1057shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-aarch64-linux-gnu.so1058shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-aarch64-linux-gnu.so1059shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so1060shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so1061shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-aarch64-linux-gnu.so1062shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so1063shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-aarch64-linux-gnu.so1064shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_pairwise_fast.cpython-314-aarch64-linux-gnu.so1065shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_dist_metrics.cpython-314-aarch64-linux-gnu.so1066shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-aarch64-linux-gnu.so1067shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so1068shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_hierarchical_fast.cpython-314-aarch64-linux-gnu.so1069shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_dbscan_inner.cpython-314-aarch64-linux-gnu.so1070shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_hdbscan/_reachability.cpython-314-aarch64-linux-gnu.so1071shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_hdbscan/_linkage.cpython-314-aarch64-linux-gnu.so1072shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_hdbscan/_tree.cpython-314-aarch64-linux-gnu.so1073shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so1074shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_k_means_common.cpython-314-aarch64-linux-gnu.so1075shrinking /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so1076checking for references to /build/ in /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0...1077patching script interpreter paths in /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.01078/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/_build_utils/version.py: interpreter directive changed from "#!/usr/bin/env python3" to "/nix/store/lq2fsnmg0q3y0vlxn91w8s8wvj1m6fld-python3-3.14.8/bin/python3"1079stripping (with command strip and flags -S -p) in /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib1080Executing pythonRemoveTestsDir1081Finished executing pythonRemoveTestsDirinstallCheckPhase
1082setting known thread variables to default: 11083 OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMBA_NUM_THREADS=1 NUMEXPR_NUM_THREADS=11084no Makefile or custom installCheckPhase, doing nothingpythonImportsCheckPhase
1085Executing pythonImportsCheckPhase1086Check whether the following modules can be imported: sklearnpythonMetadataCheckPhase
1087Executing pythonMetadataCheckPhasepytestCheckPhase
1088Executing pytestCheckPhase1089setting known thread variables to default: 11090 OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMBA_NUM_THREADS=1 NUMEXPR_NUM_THREADS=11091pytest flags: -m pytest -k not\ \(test_feature_importance_regression\)\ and\ not\ \(test_logistic_regression_path_convergence_fail\)\ and\ not\ \(test_linalg_warning_with_newton_solver\)\ and\ not\ \(test_newton_cholesky_fallback_to_lbfgs\)\ and\ not\ \(NuSVC\ and\ memmap\)\ and\ not\ \(test_sparse_input\) -v --pyargs sklearn --numprocesses=161092============================= test session starts ==============================1093platform linux -- Python 3.14.8, pytest-9.1.1, pluggy-1.6.0 -- /nix/store/lq2fsnmg0q3y0vlxn91w8s8wvj1m6fld-python3-3.14.8/bin/python3.141094cachedir: .pytest_cache1095rootdir: /build1096plugins: xdist-3.8.01097initialized: 11/16 workers File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1098 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1099initialized: 15/16 workers File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1100 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1101 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1102 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1103 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1104 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1105ready: 16/16 workers File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1106 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1107 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1108 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1109 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1110 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1111 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1112 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1113 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1114 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1115 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1116 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1117 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1118 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1119 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1120 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1121 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1122 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1123 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1124 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1125 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1126 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1127 File "/nix/store/msjxh9yf3nnd6250qn0w0jh22py9g3z1-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1128 raise ValueError(f"found {cpu_count_physical} physical cores < 1")112916 workers [47081 items] 1130scheduling tests via LoadScheduling11311132_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-False-ExponentialLoss] 1133_loss/tests/test_link.py::test_interval_raises 1134_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfPoissonLoss] 1135decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed[42] 1136cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-KMeans-elkan-sparse_matrix] 1137_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-False-loss_gradient-HalfPoissonLoss] 1138datasets/tests/test_base.py::test_loader[load_diabetes-data_shape4-target_shape4-None-True-filenames4] 1139decomposition/tests/test_pca.py::test_pca_score[randomized] 1140[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_interval_raises 1141_loss/tests/test_link.py::test_is_in_range[interval0] 1142[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval0] 1143[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfPoissonLoss] 1144_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfGammaLoss] 1145[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-False-ExponentialLoss] 1146_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfSquaredError] 1147_loss/tests/test_link.py::test_is_in_range[interval1] 1148[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-False-loss_gradient-HalfPoissonLoss] 1149_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-__call__-HalfBinomialLoss] 1150[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfGammaLoss] 1151_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfTweedieLoss] 1152[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfSquaredError] 1153_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-AbsoluteError] 1154[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_loader[load_diabetes-data_shape4-target_shape4-None-True-filenames4] 1155ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned7-all_gradients7-True-6-True-5-False] 1156[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfTweedieLoss] 1157[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval1] 1158_loss/tests/test_link.py::test_is_in_range[interval2] 1159[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval2] 1160_loss/tests/test_link.py::test_is_in_range[interval3] 1161[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval3] 1162_loss/tests/test_link.py::test_is_in_range[interval4] 1163_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfBinomialLoss] 1164[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval4] 1165_loss/tests/test_link.py::test_is_in_range[interval5] 1166[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_score[randomized] 1167decomposition/tests/test_pca.py::test_pca_score[auto] 1168[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfBinomialLoss] 1169_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfMultinomialLoss] 1170[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfMultinomialLoss] 1171_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-ExponentialLoss] 1172[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-__call__-HalfBinomialLoss] 1173_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-__call__-HalfMultinomialLoss] 1174[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-__call__-HalfMultinomialLoss] 1175_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-__call__-HalfPoissonLoss] 1176[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-__call__-HalfPoissonLoss] 1177_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-gradient-HalfBinomialLoss] 1178[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-gradient-HalfBinomialLoss] 1179_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-gradient-HalfMultinomialLoss] 1180[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-gradient-HalfMultinomialLoss] 1181_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-gradient-HalfPoissonLoss] 1182[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-AbsoluteError] 1183_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-PinballLoss] 1184[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-PinballLoss] 1185_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HuberLoss] 1186[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HuberLoss] 1187_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfPoissonLoss] 1188[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval5] 1189_loss/tests/test_link.py::test_is_in_range[interval6] 1190[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval6] 1191_loss/tests/test_link.py::test_is_in_range[interval7] 1192[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval7] 1193_loss/tests/test_link.py::test_is_in_range[interval8] 1194[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval8] 1195_loss/tests/test_link.py::test_is_in_range[interval9] 1196[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval9] 1197_loss/tests/test_link.py::test_is_in_range[interval10] 1198[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval10] 1199_loss/tests/test_link.py::test_is_in_range[interval11] 1200[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval11] 1201_loss/tests/test_link.py::test_link_inverse_identity[42-IdentityLink] 1202[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_link_inverse_identity[42-IdentityLink] 1203_loss/tests/test_link.py::test_link_inverse_identity[42-LogLink] 1204[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_link_inverse_identity[42-LogLink] 1205_loss/tests/test_link.py::test_link_inverse_identity[42-LogitLink] 1206[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_score[auto] 1207[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfPoissonLoss] 1208[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-gradient-HalfPoissonLoss] 1209_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss-HalfBinomialLoss] 1210[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss-HalfBinomialLoss] 1211_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss-HalfMultinomialLoss] 1212[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned7-all_gradients7-True-6-True-5-False] 1213ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned8-all_gradients8-True-6-True-5-False] 1214[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned8-all_gradients8-True-6-True-5-False] 1215ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned0-False-1] 1216[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned0-False-1] 1217ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned1-False-2] 1218[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned1-False-2] 1219ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned2-False-2] 1220[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned2-False-2] 1221ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned3-True-2] 1222[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned3-True-2] 1223ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned4-True-0] 1224decomposition/tests/test_pca.py::test_pca_score3 1225[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_link_inverse_identity[42-LogitLink] 1226_loss/tests/test_link.py::test_link_inverse_identity[42-HalfLogitLink] 1227[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_link_inverse_identity[42-HalfLogitLink] 1228_loss/tests/test_link.py::test_link_inverse_identity[42-MultinomialLogit] 1229[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_link_inverse_identity[42-MultinomialLogit] 1230_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfGammaLoss] 1231[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfGammaLoss] 1232datasets/tests/test_base.py::test_loader[load_digits-data_shape5-target_shape5-10-True-filenames5] 1233[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_loader[load_digits-data_shape5-target_shape5-10-True-filenames5] 1234datasets/tests/test_base.py::test_loader[loader_func6-data_shape6-target_shape6-10-True-filenames6] 1235[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_loader[loader_func6-data_shape6-target_shape6-10-True-filenames6] 1236datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_breast_cancer-float64-int] 1237ensemble/tests/test_voting.py::test_tie_situation 1238_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-numpy-None-None] 1239[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-ExponentialLoss] 1240_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfSquaredError] 1241[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfSquaredError] 1242_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-AbsoluteError] 1243[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_score3 1244decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[full] 1245[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-numpy-None-None] 1246_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-array_api_strict-CPU_DEVICE-float64] 1247[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss-HalfMultinomialLoss] 1248[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned4-True-0] 1249ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned0-all_gradients0-expected_categories_left0-4-4-False-None] 1250[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed[42] 1251_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss-HalfPoissonLoss] 1252[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss-HalfPoissonLoss] 1253_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss_gradient-HalfBinomialLoss] 1254[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned0-all_gradients0-expected_categories_left0-4-4-False-None] 1255ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned1-all_gradients1-expected_categories_left1-4-4-False-None] 1256[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned1-all_gradients1-expected_categories_left1-4-4-False-None] 1257ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned2-all_gradients2-expected_categories_left2-4-4-False-None] 1258[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned2-all_gradients2-expected_categories_left2-4-4-False-None] 1259ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned3-all_gradients3-expected_categories_left3-4-4-False-None] 1260[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss_gradient-HalfBinomialLoss] 1261_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss_gradient-HalfMultinomialLoss] 1262[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss_gradient-HalfMultinomialLoss] 1263_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss_gradient-HalfPoissonLoss] 1264[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss_gradient-HalfPoissonLoss] 1265_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-__call__-HalfBinomialLoss] 1266gaussian_process/tests/test_gpr.py::test_lml_precomputed[kernel5] 1267_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfTweedieLoss] 1268[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfTweedieLoss] 1269_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfBinomialLoss] 1270linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-C-C] 1271[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-C-C] 1272linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-C-F] 1273[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[full] 1274decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[covariance_eigh] 1275[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-AbsoluteError] 1276_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-PinballLoss] 1277[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-PinballLoss] 1278_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HuberLoss] 1279[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfBinomialLoss] 1280decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[auto] 1281[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[auto] 1282decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[dense] 1283[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[dense] 1284decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[arpack] 1285[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[arpack] 1286decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[randomized] 1287[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[randomized] 1288decomposition/tests/test_kernel_pca.py::test_gridsearch_pipeline 1289_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfMultinomialLoss] 1290[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-KMeans-elkan-sparse_matrix] 1291cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-KMeans-elkan-sparse_array] 1292[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-__call__-HalfBinomialLoss] 1293impute/tests/test_impute.py::test_missing_indicator_sparse_no_explicit_zeros[csr_array] 1294[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned3-all_gradients3-expected_categories_left3-4-4-False-None] 1295ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned4-all_gradients4-expected_categories_left4-3-9-True-False] 1296[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned4-all_gradients4-expected_categories_left4-3-9-True-False] 1297[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-C-F] 1298linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-F-C] 1299ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned5-all_gradients5-expected_categories_left5-3-9-True-True] 1300linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[3-l1_ratios0] 1301[gw5] [ 0%] SKIPPED datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_breast_cancer-float64-int] 1302datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_diabetes-float64-float64] 1303[gw5] [ 0%] SKIPPED datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_diabetes-float64-float64] 1304datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_digits-float64-int] 1305[gw5] [ 0%] SKIPPED datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_digits-float64-int] 1306datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_iris-float64-int] 1307[gw5] [ 0%] SKIPPED datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_iris-float64-int] 1308[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-array_api_strict-CPU_DEVICE-float64] 1309_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-array_api_strict-device1-float32] 1310[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-array_api_strict-device1-float32] 1311_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-cupy-None-None] 1312[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-cupy-None-None] 1313_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cpu-float64] 1314[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cpu-float64] 1315_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cpu-float32] 1316[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cpu-float32] 1317_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cuda-float64] 1318[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cuda-float64] 1319_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cuda-float32] 1320[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cuda-float32] 1321_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-xpu-float64] 1322_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-__call__-HalfMultinomialLoss] 1323[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-__call__-HalfMultinomialLoss] 1324_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-__call__-HalfPoissonLoss] 1325[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned5-all_gradients5-expected_categories_left5-3-9-True-True] 1326ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned6-all_gradients6-expected_categories_left6-5-255-True-True] 1327[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned6-all_gradients6-expected_categories_left6-5-255-True-True] 1328inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-3] 1329[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[covariance_eigh] 1330decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[arpack] 1331linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[42-wide-False-sag] 1332[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_missing_indicator_sparse_no_explicit_zeros[csr_array] 1333impute/tests/test_impute.py::test_imputer_without_indicator[SimpleImputer] 1334[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_imputer_without_indicator[SimpleImputer] 1335datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_linnerud-float64-float64] 1336[gw5] [ 0%] SKIPPED datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_linnerud-float64-float64] 1337datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_wine-float64-int] 1338[gw5] [ 0%] SKIPPED datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_wine-float64-int] 1339datasets/tests/test_base.py::test_loads_dumps_bunch 1340ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned7-all_gradients7-expected_categories_left7-59-59-True-True] 1341[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned7-all_gradients7-expected_categories_left7-59-59-True-True] 1342[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfMultinomialLoss] 1343_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-ExponentialLoss] 1344[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HuberLoss] 1345_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfPoissonLoss] 1346ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned8-all_gradients8-expected_categories_left8-255-255-True-True] 1347impute/tests/test_impute.py::test_imputer_without_indicator[IterativeImputer] 1348[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-KMeans-elkan-sparse_array] 1349cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-MiniBatchKMeans-None-dense] 1350[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-F-C] 1351linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-F-F] 1352[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-F-F] 1353linear_model/tests/test_coordinate_descent.py::test_cython_solver_equivalence[csc_array] 1354[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-xpu-float64] 1355_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-xpu-float32] 1356[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfPoissonLoss] 1357[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[42-wide-False-sag] 1358[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-__call__-HalfPoissonLoss] 1359_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-gradient-HalfBinomialLoss] 1360[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-gradient-HalfBinomialLoss] 1361[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_loads_dumps_bunch 1362datasets/tests/test_base.py::test_bunch_pickle_generated_with_0_16_and_read_with_0_17 1363[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_bunch_pickle_generated_with_0_16_and_read_with_0_17 1364datasets/tests/test_base.py::test_bunch_dir 1365[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_bunch_dir 1366_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-gradient-HalfMultinomialLoss] 1367datasets/tests/test_base.py::test_load_boston_error 1368[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_load_boston_error 1369[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_cython_solver_equivalence[csc_array] 1370linear_model/tests/test_coordinate_descent.py::test_cython_solver_equivalence[csc_matrix] 1371linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[42-wide-False-saga] 1372[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_precomputed[kernel5] 1373gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel0] 1374datasets/tests/test_base.py::test_fetch_remote_raise_warnings_with_invalid_url 1375[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-ExponentialLoss] 1376[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-xpu-float32] 1377_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfGammaLoss] 1378[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_fetch_remote_raise_warnings_with_invalid_url 1379[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned8-all_gradients8-expected_categories_left8-255-255-True-True] 1380ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_interaction_constraints 1381[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_interaction_constraints 1382ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_feature_fraction_per_split[forbidden_features0] 1383[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_feature_fraction_per_split[forbidden_features0] 1384ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_feature_fraction_per_split[forbidden_features1] 1385[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_feature_fraction_per_split[forbidden_features1] 1386[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-MiniBatchKMeans-None-dense] 1387cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-MiniBatchKMeans-None-sparse_matrix] 1388[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[42-wide-False-saga] 1389ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_max_iter_with_warm_start_validation[HistGradientBoostingClassifier-X0-y0] 1390_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-mps-float32] 1391[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-mps-float32] 1392_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfSquaredError] 1393datasets/tests/test_base.py::test_derive_folder_and_filename_from_url 1394[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_derive_folder_and_filename_from_url 1395datasets/tests/test_base.py::test_fetch_file_using_data_home 1396[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-gradient-HalfMultinomialLoss] 1397_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-gradient-HalfPoissonLoss] 1398[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-gradient-HalfPoissonLoss] 1399[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfSquaredError] 1400_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss-HalfBinomialLoss] 1401[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_cython_solver_equivalence[csc_matrix] 1402[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel0] 1403[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_imputer_without_indicator[IterativeImputer] 1404linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-svd] 1405linear_model/tests/test_coordinate_descent.py::test_lasso_zero 1406[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[arpack] 1407[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss-HalfBinomialLoss] 1408[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-svd] 1409decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[randomized] 1410_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss-HalfMultinomialLoss] 1411linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-sparse_cg] 1412[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfGammaLoss] 1413_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfTweedieLoss] 1414gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel1] 1415_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-cpu-float64] 1416[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-cpu-float64] 1417_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-AbsoluteError] 1418impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csc_matrix] 1419[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-MiniBatchKMeans-None-sparse_matrix] 1420[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-AbsoluteError] 1421[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss-HalfMultinomialLoss] 1422[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_fetch_file_using_data_home 1423datasets/tests/test_base.py::test_fetch_file_without_sha256 1424_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-PinballLoss] 1425_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-cpu-float32] 1426cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-MiniBatchKMeans-None-sparse_array] 1427[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_max_iter_with_warm_start_validation[HistGradientBoostingClassifier-X0-y0] 1428ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_max_iter_with_warm_start_validation[HistGradientBoostingRegressor-X1-y1] 1429[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_lasso_zero 1430[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_fetch_file_without_sha256 1431[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-cpu-float32] 1432[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfTweedieLoss] 1433_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfBinomialLoss] 1434linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params 1435datasets/tests/test_base.py::test_fetch_file_with_sha256 1436[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-sparse_cg] 1437[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel1] 1438_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss-HalfPoissonLoss] 1439[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss-HalfPoissonLoss] 1440_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss_gradient-HalfBinomialLoss] 1441linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-cholesky] 1442[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-PinballLoss] 1443_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HuberLoss] 1444_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-gpu-float64] 1445[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss_gradient-HalfBinomialLoss] 1446_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss_gradient-HalfMultinomialLoss] 1447[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csc_matrix] 1448[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-cholesky] 1449[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfBinomialLoss] 1450[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[randomized] 1451[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-gpu-float64] 1452gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel2] 1453[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params 1454linear_model/tests/test_coordinate_descent.py::test_lasso_toy 1455decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[auto] 1456[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss_gradient-HalfMultinomialLoss] 1457_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss_gradient-HalfPoissonLoss] 1458[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_fetch_file_with_sha256 1459datasets/tests/test_california_housing.py::test_fetch 1460[gw5] [ 0%] SKIPPED datasets/tests/test_california_housing.py::test_fetch 1461datasets/tests/test_california_housing.py::test_fetch_asframe 1462[gw5] [ 0%] SKIPPED datasets/tests/test_california_housing.py::test_fetch_asframe 1463datasets/tests/test_california_housing.py::test_pandas_dependency_message 1464[gw5] [ 0%] SKIPPED datasets/tests/test_california_housing.py::test_pandas_dependency_message 1465datasets/tests/test_common.py::test_common_check_return_X_y[fetch_20newsgroups-fetch_20newsgroups] 1466[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HuberLoss] 1467[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-MiniBatchKMeans-None-sparse_array] 1468cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-lloyd-dense] 1469[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_20newsgroups-fetch_20newsgroups] 1470_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-gpu-float32] 1471[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-gpu-float32] 1472[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel2] 1473gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel3] 1474datasets/tests/test_common.py::test_common_check_return_X_y[fetch_20newsgroups_vectorized-fetch_20newsgroups_vectorized] 1475[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_20newsgroups_vectorized-fetch_20newsgroups_vectorized] 1476linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-lsqr] 1477_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfPoissonLoss] 1478datasets/tests/test_common.py::test_common_check_return_X_y[fetch_california_housing-fetch_california_housing] 1479[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_california_housing-fetch_california_housing] 1480datasets/tests/test_common.py::test_common_check_return_X_y[fetch_covtype-fetch_covtype] 1481[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfPoissonLoss] 1482[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-lsqr] 1483[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_lasso_toy 1484linear_model/tests/test_coordinate_descent.py::test_enet_toy 1485[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss_gradient-HalfPoissonLoss] 1486_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-__call__-HalfBinomialLoss] 1487_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfMultinomialLoss] 1488_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-numpy-None-None] 1489[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_covtype-fetch_covtype] 1490[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[auto] 1491decomposition/tests/test_pca.py::test_pca_score_consistency_solvers[arpack] 1492linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-sag] 1493impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csc_array] 1494_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfGammaLoss] 1495[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfGammaLoss] 1496[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-__call__-HalfBinomialLoss] 1497datasets/tests/test_common.py::test_common_check_return_X_y[fetch_kddcup99-fetch_kddcup99] 1498[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfMultinomialLoss] 1499_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfTweedieLoss] 1500[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_kddcup99-fetch_kddcup99] 1501datasets/tests/test_common.py::test_common_check_return_X_y[fetch_lfw_people-fetch_lfw_people] 1502[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-lloyd-dense] 1503[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfTweedieLoss] 1504_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-__call__-HalfMultinomialLoss] 1505[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-__call__-HalfMultinomialLoss] 1506cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-lloyd-sparse_matrix] 1507[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-numpy-None-None] 1508_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-array_api_strict-CPU_DEVICE-float64] 1509[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-sag] 1510_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfBinomialLoss] 1511[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfBinomialLoss] 1512_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfMultinomialLoss] 1513[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csc_array] 1514_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-ExponentialLoss] 1515impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csr_matrix] 1516[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_lfw_people-fetch_lfw_people] 1517datasets/tests/test_common.py::test_common_check_return_X_y[fetch_olivetti_faces-fetch_olivetti_faces] 1518[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_olivetti_faces-fetch_olivetti_faces] 1519datasets/tests/test_common.py::test_common_check_return_X_y[fetch_openml-fetch_openml] 1520[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_openml-fetch_openml] 1521datasets/tests/test_common.py::test_common_check_return_X_y[fetch_rcv1-fetch_rcv1] 1522[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_rcv1-fetch_rcv1] 1523datasets/tests/test_common.py::test_common_check_return_X_y[load_breast_cancer-load_breast_cancer] 1524linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-saga] 1525[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_max_iter_with_warm_start_validation[HistGradientBoostingRegressor-X1-y1] 1526[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-array_api_strict-CPU_DEVICE-float64] 1527_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-array_api_strict-device1-float32] 1528[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfMultinomialLoss] 1529_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-ExponentialLoss] 1530_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-__call__-HalfPoissonLoss] 1531[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-__call__-HalfPoissonLoss] 1532_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-gradient-HalfBinomialLoss] 1533[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-gradient-HalfBinomialLoss] 1534_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-gradient-HalfMultinomialLoss] 1535ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_yields_identical_results[HistGradientBoostingClassifier-X0-y0] 1536[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-ExponentialLoss] 1537[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-saga] 1538[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-array_api_strict-device1-float32] 1539_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-cupy-None-None] 1540[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-cupy-None-None] 1541[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_enet_toy 1542linear_model/tests/test_coordinate_descent.py::test_lasso_dual_gap 1543[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_lasso_dual_gap 1544[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-ExponentialLoss] 1545_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfSquaredError] 1546linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-svd] 1547[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_return_X_y[load_breast_cancer-load_breast_cancer] 1548datasets/tests/test_common.py::test_common_check_return_X_y[load_diabetes-load_diabetes] 1549_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfSquaredError] 1550[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfSquaredError] 1551_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-AbsoluteError] 1552[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-gradient-HalfMultinomialLoss] 1553_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-gradient-HalfPoissonLoss] 1554[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-3] 1555_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cpu-float64] 1556linear_model/tests/test_coordinate_descent.py::test_lasso_cv 1557inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-4] 1558[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csr_matrix] 1559[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cpu-float64] 1560[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfSquaredError] 1561[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-AbsoluteError] 1562[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel3] 1563[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-gradient-HalfPoissonLoss] 1564_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss-HalfBinomialLoss] 1565[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss-HalfBinomialLoss] 1566_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-AbsoluteError] 1567[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_return_X_y[load_diabetes-load_diabetes] 1568datasets/tests/test_common.py::test_common_check_return_X_y[load_digits-load_digits] 1569_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cpu-float32] 1570_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-PinballLoss(quantile=0.5)] 1571[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-lloyd-sparse_matrix] 1572[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cpu-float32] 1573cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-lloyd-sparse_array] 1574impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csr_array] 1575[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-svd] 1576linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-sparse_cg] 1577_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss-HalfMultinomialLoss] 1578gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel4] 1579[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_score_consistency_solvers[arpack] 1580[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-PinballLoss(quantile=0.5)] 1581[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-AbsoluteError] 1582_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-PinballLoss] 1583_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HuberLoss(quantile=0.9] 1584decomposition/tests/test_pca.py::test_pca_score_consistency_solvers[randomized] 1585[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss-HalfMultinomialLoss] 1586[gw15] [ 0%] PASSED linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[3-l1_ratios0] 1587_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss-HalfPoissonLoss] 1588[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss-HalfPoissonLoss] 1589_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss_gradient-HalfBinomialLoss] 1590[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-PinballLoss] 1591_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HuberLoss] 1592[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HuberLoss(quantile=0.9] 1593_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfPoissonLoss] 1594[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfPoissonLoss] 1595_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfGammaLoss] 1596[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfGammaLoss] 1597_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=1.5)] 1598[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=1.5)] 1599_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfBinomialLoss] 1600_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cuda-float64] 1601[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cuda-float64] 1602_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cuda-float32] 1603[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cuda-float32] 1604[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-sparse_cg] 1605linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-cholesky] 1606[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-cholesky] 1607linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-lsqr] 1608[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csr_array] 1609impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[coo_matrix] 1610[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfBinomialLoss] 1611_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfMultinomialLoss] 1612[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss_gradient-HalfBinomialLoss] 1613[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_return_X_y[load_digits-load_digits] 1614_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss_gradient-HalfMultinomialLoss] 1615datasets/tests/test_common.py::test_common_check_return_X_y[load_iris-load_iris] 1616linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[3-l1_ratios1] 1617[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-lsqr] 1618[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfMultinomialLoss] 1619_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-ExponentialLoss] 1620[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-lloyd-sparse_array] 1621cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-elkan-dense] 1622_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-xpu-float64] 1623[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-xpu-float64] 1624_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-xpu-float32] 1625[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss_gradient-HalfMultinomialLoss] 1626[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HuberLoss] 1627_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfPoissonLoss] 1628[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_return_X_y[load_iris-load_iris] 1629datasets/tests/test_common.py::test_common_check_return_X_y[load_linnerud-load_linnerud] 1630[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-ExponentialLoss] 1631_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss_gradient-HalfPoissonLoss] 1632[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss_gradient-HalfPoissonLoss] 1633_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-__call__-HalfBinomialLoss] 1634_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-PinballLoss(quantile=0.25)] 1635[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-PinballLoss(quantile=0.25)] 1636_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HuberLoss(quantile=0.75] 1637[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HuberLoss(quantile=0.75] 1638_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=-1.5)] 1639[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_return_X_y[load_linnerud-load_linnerud] 1640datasets/tests/test_common.py::test_common_check_return_X_y[load_wine-load_wine] 1641[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_return_X_y[load_wine-load_wine] 1642[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfPoissonLoss] 1643datasets/tests/test_common.py::test_common_check_as_frame[fetch_20newsgroups_vectorized-fetch_20newsgroups_vectorized] 1644[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=-1.5)] 1645_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfGammaLoss] 1646[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-xpu-float32] 1647_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-mps-float32] 1648_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=0.0)] 1649linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-sag] 1650[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-mps-float32] 1651[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[fetch_20newsgroups_vectorized-fetch_20newsgroups_vectorized] 1652datasets/tests/test_common.py::test_common_check_as_frame[fetch_california_housing-fetch_california_housing] 1653[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[fetch_california_housing-fetch_california_housing] 1654_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-dpnp-cpu-float64] 1655datasets/tests/test_common.py::test_common_check_as_frame[fetch_covtype-fetch_covtype] 1656[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-__call__-HalfBinomialLoss] 1657_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-__call__-HalfMultinomialLoss] 1658[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[fetch_covtype-fetch_covtype] 1659datasets/tests/test_common.py::test_common_check_as_frame[fetch_kddcup99-fetch_kddcup99] 1660[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=0.0)] 1661_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=1.0)] 1662[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=1.0)] 1663[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-sag] 1664[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_gridsearch_pipeline 1665_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=2.0)] 1666[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[coo_matrix] 1667impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[coo_array] 1668[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[fetch_kddcup99-fetch_kddcup99] 1669datasets/tests/test_common.py::test_common_check_as_frame[fetch_openml-fetch_openml] 1670[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[fetch_openml-fetch_openml] 1671datasets/tests/test_common.py::test_common_check_as_frame[load_breast_cancer-load_breast_cancer] 1672[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-4] 1673inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-0] 1674[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfGammaLoss] 1675_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfTweedieLoss] 1676linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-saga] 1677[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=2.0)] 1678_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=3.0)] 1679[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_score_consistency_solvers[randomized] 1680[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-__call__-HalfMultinomialLoss] 1681_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-__call__-HalfPoissonLoss] 1682[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=3.0)] 1683[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-dpnp-cpu-float64] 1684_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-dpnp-cpu-float32] 1685decomposition/tests/test_kernel_pca.py::test_gridsearch_pipeline_precomputed 1686_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=0.0)] 1687[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-dpnp-cpu-float32] 1688_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-dpnp-gpu-float64] 1689[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfTweedieLoss] 1690decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[full] 1691[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=0.0)] 1692_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=1.0)] 1693[gw14] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-saga] 1694[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[load_breast_cancer-load_breast_cancer] 1695[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[full] 1696datasets/tests/test_common.py::test_common_check_as_frame[load_diabetes-load_diabetes] 1697[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-__call__-HalfPoissonLoss] 1698_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-gradient-HalfBinomialLoss] 1699_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfBinomialLoss] 1700decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[randomized] 1701linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-wide-True-svd] 1702[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-dpnp-gpu-float64] 1703_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-dpnp-gpu-float32] 1704[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-gradient-HalfBinomialLoss] 1705[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[load_diabetes-load_diabetes] 1706datasets/tests/test_common.py::test_common_check_as_frame[load_digits-load_digits] 1707[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=1.0)] 1708_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=2.0)] 1709[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=2.0)] 1710_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=3.0)] 1711[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=3.0)] 1712_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfSquaredError] 1713_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-gradient-HalfMultinomialLoss] 1714[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[randomized] 1715decomposition/tests/test_pca.py::test_pca_svd_solver_auto[10-50-5-full] 1716[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfSquaredError] 1717[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel4] 1718gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel5] 1719_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-AbsoluteError] 1720[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-dpnp-gpu-float32] 1721_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-numpy-None-None] 1722[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfBinomialLoss] 1723[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-AbsoluteError] 1724_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-PinballLoss(quantile=0.5)] 1725_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfMultinomialLoss] 1726[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[coo_array] 1727impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[lil_matrix] 1728[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-PinballLoss(quantile=0.5)] 1729[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_svd_solver_auto[10-50-5-full] 1730decomposition/tests/test_pca.py::test_pca_svd_solver_auto[1000-50-50-covariance_eigh] 1731[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-elkan-dense] 1732cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-elkan-sparse_matrix] 1733_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HuberLoss(quantile=0.9] 1734[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_yields_identical_results[HistGradientBoostingClassifier-X0-y0] 1735[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-gradient-HalfMultinomialLoss] 1736_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-gradient-HalfPoissonLoss] 1737ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_yields_identical_results[HistGradientBoostingRegressor-X1-y1] 1738[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-numpy-None-None] 1739[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-gradient-HalfPoissonLoss] 1740[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[load_digits-load_digits] 1741[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HuberLoss(quantile=0.9] 1742_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-array_api_strict-CPU_DEVICE-float64] 1743[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_svd_solver_auto[1000-50-50-covariance_eigh] 1744datasets/tests/test_common.py::test_common_check_as_frame[load_iris-load_iris] 1745decomposition/tests/test_pca.py::test_pca_svd_solver_auto[1000-500-400-full] 1746_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss-HalfBinomialLoss] 1747[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss-HalfBinomialLoss] 1748_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss-HalfMultinomialLoss] 1749[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[load_iris-load_iris] 1750datasets/tests/test_common.py::test_common_check_as_frame[load_linnerud-load_linnerud] 1751[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[load_linnerud-load_linnerud] 1752datasets/tests/test_common.py::test_common_check_as_frame[load_wine-load_wine] 1753[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[load_wine-load_wine] 1754[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfMultinomialLoss] 1755_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-ExponentialLoss] 1756[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-array_api_strict-CPU_DEVICE-float64] 1757_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-array_api_strict-device1-float32] 1758[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-array_api_strict-device1-float32] 1759_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-cupy-None-None] 1760datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_20newsgroups_vectorized-fetch_20newsgroups_vectorized] 1761[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_20newsgroups_vectorized-fetch_20newsgroups_vectorized] 1762[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-ExponentialLoss] 1763_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfSquaredError] 1764[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss-HalfMultinomialLoss] 1765datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_california_housing-fetch_california_housing] 1766[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_california_housing-fetch_california_housing] 1767datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_covtype-fetch_covtype] 1768_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfPoissonLoss] 1769[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfPoissonLoss] 1770_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfGammaLoss] 1771[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfGammaLoss] 1772_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=1.5)] 1773[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=1.5)] 1774_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfBinomialLoss] 1775[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfBinomialLoss] 1776_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfMultinomialLoss] 1777[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfMultinomialLoss] 1778_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-ExponentialLoss] 1779[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-ExponentialLoss] 1780[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_covtype-fetch_covtype] 1781datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_kddcup99-fetch_kddcup99] 1782_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss-HalfPoissonLoss] 1783_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-PinballLoss(quantile=0.25)] 1784[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-PinballLoss(quantile=0.25)] 1785_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HuberLoss(quantile=0.75] 1786[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[lil_matrix] 1787impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[lil_array] 1788[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_kddcup99-fetch_kddcup99] 1789datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_openml-fetch_openml] 1790[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_openml-fetch_openml] 1791datasets/tests/test_common.py::test_common_check_pandas_dependency[load_breast_cancer-load_breast_cancer] 1792[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfSquaredError] 1793_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-AbsoluteError] 1794[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-AbsoluteError] 1795_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-PinballLoss] 1796[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel5] 1797gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel0] 1798[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss-HalfPoissonLoss] 1799_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss_gradient-HalfBinomialLoss] 1800[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HuberLoss(quantile=0.75] 1801_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=-1.5)] 1802[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-cupy-None-None] 1803_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-cpu-float64] 1804[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-cpu-float64] 1805_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-cpu-float32] 1806[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-PinballLoss] 1807_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HuberLoss] 1808[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-0] 1809inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-1] 1810[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=-1.5)] 1811_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=0.0)] 1812[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=0.0)] 1813_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=1.0)] 1814[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=1.0)] 1815_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=2.0)] 1816[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_pandas_dependency[load_breast_cancer-load_breast_cancer] 1817datasets/tests/test_common.py::test_common_check_pandas_dependency[load_diabetes-load_diabetes] 1818[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_pandas_dependency[load_diabetes-load_diabetes] 1819[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss_gradient-HalfBinomialLoss] 1820_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss_gradient-HalfMultinomialLoss] 1821[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss_gradient-HalfMultinomialLoss] 1822_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss_gradient-HalfPoissonLoss] 1823[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=2.0)] 1824_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=3.0)] 1825[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-cpu-float32] 1826_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-cuda-float64] 1827[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel0] 1828gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel1] 1829datasets/tests/test_common.py::test_common_check_pandas_dependency[load_digits-load_digits] 1830[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-cuda-float64] 1831[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HuberLoss] 1832_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfPoissonLoss] 1833[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=3.0)] 1834_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=0.0)] 1835[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[lil_array] 1836impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[bsr_matrix] 1837[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss_gradient-HalfPoissonLoss] 1838_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-__call__-HalfBinomialLoss] 1839[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_lasso_cv 1840_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-cuda-float32] 1841[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=0.0)] 1842_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=1.0)] 1843[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=1.0)] 1844[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-cuda-float32] 1845_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-xpu-float64] 1846_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=2.0)] 1847[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-elkan-sparse_matrix] 1848cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-elkan-sparse_array] 1849linear_model/tests/test_coordinate_descent.py::test_lasso_cv_with_some_model_selection 1850[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-__call__-HalfBinomialLoss] 1851[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfPoissonLoss] 1852_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfGammaLoss] 1853[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_pandas_dependency[load_digits-load_digits] 1854[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=2.0)] 1855_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-__call__-HalfMultinomialLoss] 1856datasets/tests/test_common.py::test_common_check_pandas_dependency[load_iris-load_iris] 1857_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=3.0)] 1858[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfGammaLoss] 1859_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfTweedieLoss] 1860[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-xpu-float64] 1861[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfTweedieLoss] 1862[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_pandas_dependency[load_iris-load_iris] 1863[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[bsr_matrix] 1864[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel1] 1865gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel2] 1866_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-xpu-float32] 1867[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-xpu-float32] 1868_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-mps-float32] 1869impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[bsr_array] 1870[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=3.0)] 1871[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-__call__-HalfMultinomialLoss] 1872_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-__call__-HalfPoissonLoss] 1873[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-__call__-HalfPoissonLoss] 1874_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-gradient-HalfBinomialLoss] 1875[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-gradient-HalfBinomialLoss] 1876_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-gradient-HalfMultinomialLoss] 1877datasets/tests/test_common.py::test_common_check_pandas_dependency[load_linnerud-load_linnerud] 1878[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_pandas_dependency[load_linnerud-load_linnerud] 1879datasets/tests/test_common.py::test_common_check_pandas_dependency[load_wine-load_wine] 1880[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_pandas_dependency[load_wine-load_wine] 1881datasets/tests/test_covtype.py::test_fetch[42] 1882[gw5] [ 0%] SKIPPED datasets/tests/test_covtype.py::test_fetch[42] 1883datasets/tests/test_covtype.py::test_fetch_asframe 1884[gw5] [ 0%] SKIPPED datasets/tests/test_covtype.py::test_fetch_asframe 1885datasets/tests/test_covtype.py::test_pandas_dependency_message 1886[gw5] [ 0%] SKIPPED datasets/tests/test_covtype.py::test_pandas_dependency_message 1887datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[None-494021-41-True] 1888[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[None-494021-41-True] 1889datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[None-494021-41-False] 1890[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[None-494021-41-False] 1891datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[SA-100655-41-True] 1892[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[SA-100655-41-True] 1893datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[SA-100655-41-False] 1894[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-gradient-HalfMultinomialLoss] 1895_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfBinomialLoss] 1896[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfBinomialLoss] 1897_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfMultinomialLoss] 1898[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfMultinomialLoss] 1899_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-ExponentialLoss] 1900[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-ExponentialLoss] 1901[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[SA-100655-41-False] 1902datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[SF-73237-4-True] 1903_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-HalfSquaredError] 1904[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[SF-73237-4-True] 1905_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfSquaredError] 1906[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfSquaredError] 1907_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-AbsoluteError] 1908[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-AbsoluteError] 1909_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-PinballLoss(quantile=0.5)] 1910[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-PinballLoss(quantile=0.5)] 1911_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HuberLoss(quantile=0.9] 1912[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HuberLoss(quantile=0.9] 1913_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfPoissonLoss] 1914[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfPoissonLoss] 1915_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfGammaLoss] 1916[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfGammaLoss] 1917_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-gradient-HalfPoissonLoss] 1918[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-gradient-HalfPoissonLoss] 1919_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-loss-HalfBinomialLoss] 1920datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[SF-73237-4-False] 1921[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[SF-73237-4-False] 1922datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[http-58725-3-True] 1923[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[http-58725-3-True] 1924datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[http-58725-3-False] 1925[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[http-58725-3-False] 1926datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[smtp-9571-3-True] 1927[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[smtp-9571-3-True] 1928datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[smtp-9571-3-False] 1929[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[smtp-9571-3-False] 1930datasets/tests/test_kddcup99.py::test_fetch_kddcup99_return_X_y 1931[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_return_X_y 1932[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-torch-mps-float32] 1933_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-dpnp-cpu-float64] 1934[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-dpnp-cpu-float64] 1935_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-dpnp-cpu-float32] 1936[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-dpnp-cpu-float32] 1937_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-dpnp-gpu-float64] 1938[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[bsr_array] 1939datasets/tests/test_kddcup99.py::test_fetch_kddcup99_as_frame 1940[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_as_frame 1941datasets/tests/test_kddcup99.py::test_fetch_kddcup99_shuffle 1942_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=1.5)] 1943[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=1.5)] 1944_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfBinomialLoss] 1945[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-HalfSquaredError] 1946[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_shuffle 1947datasets/tests/test_kddcup99.py::test_pandas_dependency_message 1948[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfBinomialLoss] 1949[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_pandas_dependency_message 1950_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfMultinomialLoss] 1951datasets/tests/test_kddcup99.py::test_corrupted_file_error_message 1952[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel2] 1953_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-AbsoluteError] 1954[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_corrupted_file_error_message 1955datasets/tests/test_lfw.py::test_load_empty_lfw_people 1956[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfMultinomialLoss] 1957_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-ExponentialLoss] 1958[gw5] [ 0%] PASSED datasets/tests/test_lfw.py::test_load_empty_lfw_people 1959datasets/tests/test_lfw.py::test_load_fake_lfw_people 1960[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-1] 1961inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-2] 1962[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-loss-HalfBinomialLoss] 1963_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-loss-HalfMultinomialLoss] 1964[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-loss-HalfMultinomialLoss] 1965_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-loss-HalfPoissonLoss] 1966[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-loss-HalfPoissonLoss] 1967_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-loss_gradient-HalfBinomialLoss] 1968[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-dpnp-gpu-float64] 1969_loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-dpnp-gpu-float32] 1970[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogitLink-dpnp-gpu-float32] 1971impute/tests/test_impute.py::test_simple_imputation_string_list[most_frequent-b] 1972[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_string_list[most_frequent-b] 1973impute/tests/test_impute.py::test_simple_imputation_string_list[constant-missing_value] 1974[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-elkan-sparse_array] 1975cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-MiniBatchKMeans-None-dense] 1976_loss/tests/test_link.py::test_link_inverse_array_api[42-HalfLogitLink-numpy-None-None] 1977[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-HalfLogitLink-numpy-None-None] 1978_loss/tests/test_link.py::test_link_inverse_array_api[42-HalfLogitLink-array_api_strict-CPU_DEVICE-float64] 1979[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-AbsoluteError] 1980_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-PinballLoss] 1981[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-ExponentialLoss] 1982_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-PinballLoss(quantile=0.25)] 1983[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-PinballLoss(quantile=0.25)] 1984_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HuberLoss(quantile=0.75] 1985[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HuberLoss(quantile=0.75] 1986_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=-1.5)] 1987[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=-1.5)] 1988_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=0.0)] 1989gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel3] 1990[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-HalfLogitLink-array_api_strict-CPU_DEVICE-float64] 1991_loss/tests/test_link.py::test_link_inverse_array_api[42-HalfLogitLink-array_api_strict-device1-float32] 1992[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=0.0)] 1993_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=1.0)] 1994[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_gridsearch_pipeline_precomputed 1995decomposition/tests/test_kernel_pca.py::test_nested_circles 1996[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=1.0)] 1997[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-loss_gradient-HalfBinomialLoss] 1998_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-True-loss_gradient-HalfMultinomialLoss] 1999[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-MiniBatchKMeans-None-dense] 2000_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=2.0)] loading 94,718 hidden lines…
96719decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]96720decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]96721decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]96722 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768372e-07, tolerance: 2.111e-0796723 model = cd_fast.enet_coordinate_descent_gram(9672496725gaussian_process/tests/test_gpr.py::test_bound_check_fixed_hyperparameter96726 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/gaussian_process/kernels.py:445: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value.96727 warnings.warn(9672896729gaussian_process/tests/test_gpr.py::test_constant_target[kernel0]96730gaussian_process/tests/test_gpc.py::test_multi_class[kernel0]96731gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel0]96732 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/gaussian_process/kernels.py:455: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value.96733 warnings.warn(9673496735decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]96736 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.536743e-07, tolerance: 1.175e-0796737 model = cd_fast.enet_coordinate_descent_gram(9673896739decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]96740decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]96741 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.152557e-07, tolerance: 1.138e-0796742 model = cd_fast.enet_coordinate_descent_gram(9674396744gaussian_process/tests/test_gpr.py::test_constant_target[kernel2]96745gaussian_process/tests/test_gpc.py::test_lml_gradient[10.0-kernel1]96746gaussian_process/tests/test_gpc.py::test_lml_gradient[31.622776601683793-kernel1]96747gaussian_process/tests/test_gpc.py::test_lml_gradient[100.0-kernel1]96748gaussian_process/tests/test_gpc.py::test_lml_gradient[316.22776601683796-kernel1]96749gaussian_process/tests/test_gpc.py::test_lml_gradient[1000.0-kernel1]96750 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/gaussian_process/kernels.py:455: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value.96751 warnings.warn(9675296753gaussian_process/tests/test_gpr.py::test_constant_target[kernel3]96754gaussian_process/tests/test_gpc.py::test_lml_gradient[0.001-kernel2]96755gaussian_process/tests/test_gpc.py::test_lml_gradient[0.0031622776601683794-kernel2]96756gaussian_process/tests/test_gpc.py::test_lml_gradient[0.01-kernel2]96757gaussian_process/tests/test_gpc.py::test_lml_gradient[0.03162277660168379-kernel2]96758gaussian_process/tests/test_gpc.py::test_random_starts[42]96759 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/gaussian_process/kernels.py:445: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__constant_value is close to the specified lower bound 0.01. Decreasing the bound and calling fit again may find a better value.96760 warnings.warn(9676196762gaussian_process/tests/test_gpr.py::test_constant_target[kernel3]96763gaussian_process/tests/test_gpc.py::test_lml_gradient[10.0-kernel2]96764gaussian_process/tests/test_gpc.py::test_lml_gradient[31.622776601683793-kernel2]96765gaussian_process/tests/test_gpc.py::test_lml_gradient[316.22776601683796-kernel2]96766gaussian_process/tests/test_gpc.py::test_lml_gradient[1000.0-kernel2]96767 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/gaussian_process/kernels.py:455: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value.96768 warnings.warn(9676996770gaussian_process/tests/test_gpr.py::test_constant_target[kernel4]96771gaussian_process/tests/test_gpr.py::test_constant_target[kernel5]96772 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/gaussian_process/kernels.py:445: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k1__constant_value is close to the specified lower bound 0.01. Decreasing the bound and calling fit again may find a better value.96773 warnings.warn(9677496775gaussian_process/tests/test_gpr.py::test_constant_target[kernel4]96776gaussian_process/tests/test_gpr.py::test_constant_target[kernel5]96777 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/gaussian_process/kernels.py:455: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value.96778 warnings.warn(9677996780gaussian_process/tests/test_gpr.py::test_gpr_fit_error[params1-ValueError-requires that all bounds are finite]96781 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/gaussian_process/kernels.py:360: RuntimeWarning: invalid value encountered in log96782 return np.log(np.vstack(bounds))9678396784linear_model/tests/test_omp.py::test_unreachable_accuracy96785linear_model/tests/test_omp.py::test_unreachable_accuracy96786linear_model/tests/test_omp.py::test_omp_cv96787linear_model/tests/test_omp.py::test_omp_cv96788linear_model/tests/test_omp.py::test_omp_cv96789linear_model/tests/test_omp.py::test_omp_cv96790 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_omp.py:445: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met.96791 out = _cholesky_omp(9679296793linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[None-cv1]96794 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:921: UserWarning: The scoring make_scorer(_dummy_score, response_method='predict') does not support sample_weight, which may lead to statistically incorrect results when fitting GridSearchCV(cv=KFold(n_splits=5, random_state=None, shuffle=False),96795 estimator=RidgeClassifier(),96796 param_grid={'alpha': array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02])},96797 scoring=make_scorer(_dummy_score, response_method='predict')) with sample_weight. 96798 warnings.warn(9679996800decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss[csr_matrix]96801decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss[csr_array]96802 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/decomposition/_nmf.py:171: RuntimeWarning: divide by zero encountered in power96803 sum_WH_beta = np.sum(WH**beta)9680496805gaussian_process/tests/test_gpr.py::test_sample_y_shape_with_prior[1-2]96806gaussian_process/tests/test_gpr.py::test_sample_y_shape_with_prior[5-2]96807gaussian_process/tests/test_gpr.py::test_predict_shape_with_prior[2]96808 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/gaussian_process/kernels.py:445: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__length_scale is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value.96809 warnings.warn(9681096811linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[csr_matrix-cv1]96812linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[csr_array-cv1]96813 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:921: UserWarning: The scoring make_scorer(_dummy_score, response_method='predict') does not support sample_weight, which may lead to statistically incorrect results when fitting GridSearchCV(cv=KFold(n_splits=5, random_state=None, shuffle=False),96814 estimator=RidgeClassifier(solver='sparse_cg'),96815 param_grid={'alpha': array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02])},96816 scoring=make_scorer(_dummy_score, response_method='predict')) with sample_weight. 96817 warnings.warn(9681896819cluster/tests/test_affinity_propagation.py::test_affinity_propagation_equal_points96820 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_affinity_propagation.py:50: UserWarning: All samples have mutually equal similarities. Returning arbitrary cluster center(s).96821 warnings.warn(9682296823manifold/tests/test_isomap.py::test_transform[float64-2-None]96824 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/manifold/_isomap.py:386: UserWarning: The number of connected components of the neighbors graph is 15 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.96825 self._fit_transform(X)9682696827manifold/tests/test_isomap.py: 133 warnings96828tests/test_common.py: 18 warnings96829utils/tests/test_graph.py: 4 warnings96830utils/tests/test_validation.py: 15 warnings96831 /nix/store/9zjqlm36h6sdspdb3hhqs8h4p14b6wmr-python3.14-scipy-1.18.1/lib/python3.14/site-packages/scipy/sparse/_index.py:174: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil and dok are more efficient.96832 self._set_intXint(row, col, x.flat[0])9683396834manifold/tests/test_isomap.py::test_pipeline[float64-2-None]96835 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/manifold/_isomap.py:386: UserWarning: The number of connected components of the neighbors graph is 7 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.96836 self._fit_transform(X)9683796838linear_model/tests/test_passive_aggressive.py: 12 warnings96839tests/test_multioutput.py: 1 warning96840linear_model/tests/test_common.py: 1 warning96841 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_stochastic_gradient.py:1620: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.96842 warnings.warn(9684396844manifold/tests/test_isomap.py: 1 warning96845cluster/tests/test_dbscan.py: 10 warnings96846neighbors/tests/test_neighbors.py: 122 warnings96847cluster/tests/test_optics.py: 2 warnings96848utils/tests/test_estimator_checks.py: 21 warnings96849 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_base.py:241: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.96850 warnings.warn(9685196852manifold/tests/test_isomap.py::test_get_feature_names_out96853 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/manifold/_isomap.py:386: UserWarning: The number of connected components of the neighbors graph is 3 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.96854 self._fit_transform(X)9685596856linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[True]96857linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[False]96858 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_huber.py:348: ConvergenceWarning: lbfgs failed to converge after 100 iteration(s) (status=1):96859 STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT96860 96861 Increase the number of iterations to improve the convergence (max_iter=100).96862 You might also want to scale the data as shown in:96863 https://scikit-learn.org/stable/modules/preprocessing.html96864 self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)9686596866linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]96867 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_ridge.py:264: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 5.745071893582923e-17.96868 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9686996870linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]96871 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_ridge.py:264: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 5.492925629748892e-17.96872 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9687396874linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]96875 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_ridge.py:264: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 3.152175636859821e-17.96876 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9687796878linear_model/tests/test_ridge.py: 57 warnings96879model_selection/tests/test_search.py: 10 warnings96880 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_regression.py:1295: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.96881 warnings.warn(msg, UndefinedMetricWarning)9688296883linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]96884linear_model/tests/test_ridge.py::test_ridgecv_sample_weight96885linear_model/tests/test_ridge.py::test_ridgecv_sample_weight96886linear_model/tests/test_ridge.py::test_ridgecv_sample_weight96887linear_model/tests/test_ridge.py::test_ridgecv_sample_weight96888 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:1234: UserWarning: One or more of the test scores are non-finite: [nan nan nan]96889 warnings.warn(9689096891linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]96892 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_ridge.py:227: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 4.538655701946992e-18.96893 return linalg.solve(A, Xy, assume_a="pos", overwrite_a=True).T9689496895linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]96896model_selection/tests/test_search.py::test_search_with_2d_array96897 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 2 members, which is less than n_splits=3.96898 warnings.warn(9689996900linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]96901 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_ridge.py:264: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 7.769675273623203e-17.96902 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9690396904linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]96905 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_ridge.py:264: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 2.3840432510556323e-17.96906 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9690796908cluster/tests/test_birch.py::test_birch_predict[42-float64]96909 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_birch.py:711: ConvergenceWarning: Number of subclusters found (3) by BIRCH is less than (4). Decrease the threshold.96910 warnings.warn(9691196912decomposition/tests/test_dict_learning.py::test_dict_learning_online_shapes96913 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.393500e-05, tolerance: 1.246e-0796914 model = cd_fast.enet_coordinate_descent_gram(9691596916impute/tests/test_impute.py: 32 warnings96917 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/impute/_iterative.py:867: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.96918 warnings.warn(9691996920impute/tests/test_impute.py::test_iterative_imputer_all_missing96921impute/tests/test_impute.py::test_iterative_imputer_all_missing96922 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/impute/_base.py:647: UserWarning: Skipping features without any observed values: [0 1 2]. At least one non-missing value is needed for imputation with strategy='mean'.96923 warnings.warn(9692496925manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering96926manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering96927manifold/tests/test_spectral_embedding.py::test_pipeline_spectral_clustering96928cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering[42]96929cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering[42]96930 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/manifold/_spectral_embedding.py:325: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.96931 warnings.warn(9693296933metrics/tests/test_common.py: 301 warnings96934tests/test_common.py: 28 warnings96935 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/externals/array_api_compat/numpy/_aliases.py:106: RuntimeWarning: invalid value encountered in cast96936 return x.astype(dtype=dtype, copy=copy)9693796938decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_matrix]96939decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_matrix]96940decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array]96941decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array]96942 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/decomposition/_lda.py:921: RuntimeWarning: invalid value encountered in scalar divide96943 perword_bound = bound / word_cnt9694496945linear_model/tests/test_ridge.py::test_regularization_limits_ridge[asarray-wide-True-cholesky-zero_alpha]96946 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_ridge.py:264: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 1.2495797845902762e-17.96947 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9694896949linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[42-wide-True-cholesky]96950 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_ridge.py:264: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 1.9919300522929804e-17.96951 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9695296953cluster/tests/test_hdbscan.py::test_hdbscan_usable_inputs[kwargs0-X0]96954 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_hdbscan/hdbscan.py:270: UserWarning: The minimum spanning tree contains edge weights with value infinity. Potentially, you are missing too many distances in the initial distance matrix for the given neighborhood size.96955 warn(9695696957cluster/tests/test_hierarchical.py::test_affinity_passed_to_fix_connectivity96958 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_agglomerative.py:595: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early.96959 connectivity, n_connected_components = _fix_connectivity(9696096961linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[42-True-1-1e-06]96962 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.226299e-12, tolerance: 2.375e-1296963 Linear regression models with a zero l1 penalization strength are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.96964 model = cd_fast.enet_coordinate_descent_gram(9696596966metrics/tests/test_ranking.py::test_precision_recall_curve_drop_intermediate96967 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_ranking.py:1192: UserWarning: No positive class found in y_true, recall is set to one for all thresholds.96968 warnings.warn(9696996970linear_model/tests/test_huber.py::test_huber_max_iter96971 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_huber.py:348: ConvergenceWarning: lbfgs failed to converge after 1 iteration(s) (status=1):96972 STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT96973 96974 Increase the number of iterations to improve the convergence (max_iter=1).96975 You might also want to scale the data as shown in:96976 https://scikit-learn.org/stable/modules/preprocessing.html96977 self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)9697896979decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd]96980decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd]96981decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd]96982decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]96983decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]96984 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384186e-07, tolerance: 3.217e-0896985 model = cd_fast.enet_coordinate_descent_gram(9698696987decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd]96988decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd]96989decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd]96990 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.370907e-06, tolerance: 1.198e-0796991 model = cd_fast.enet_coordinate_descent_gram(9699296993decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd]96994decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd]96995decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd]96996 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.364418e-07, tolerance: 8.058e-0896997 model = cd_fast.enet_coordinate_descent_gram(9699896999decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd]97000decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd]97001decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd]97002 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576279e-07, tolerance: 5.441e-0897003 model = cd_fast.enet_coordinate_descent_gram(9700497005decomposition/tests/test_dict_learning.py: 14 warnings97006 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384186e-07, tolerance: 4.647e-0897007 model = cd_fast.enet_coordinate_descent_gram(9700897009decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97010decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97011decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97012decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97013decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97014decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97015 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.788139e-06, tolerance: 1.462e-0797016 model = cd_fast.enet_coordinate_descent_gram(9701797018decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97019decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97020decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97021decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97022decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97023decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97024 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.344650e-07, tolerance: 1.134e-0797025 model = cd_fast.enet_coordinate_descent_gram(9702697027decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97028decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97029decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97030decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97031decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97032decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97033decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97034decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97035 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.152557e-07, tolerance: 8.058e-0897036 model = cd_fast.enet_coordinate_descent_gram(9703797038decomposition/tests/test_dict_learning.py: 14 warnings97039 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192093e-06, tolerance: 1.246e-0797040 model = cd_fast.enet_coordinate_descent_gram(9704197042decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97043decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97044decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97045decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97046decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97047decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97048 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.172325e-07, tolerance: 5.441e-0897049 model = cd_fast.enet_coordinate_descent_gram(9705097051decomposition/tests/test_dict_learning.py: 33 warnings97052 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384186e-07, tolerance: 1.134e-0797053 model = cd_fast.enet_coordinate_descent_gram(9705497055decomposition/tests/test_dict_learning.py: 20 warnings97056 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.152557e-07, tolerance: 1.246e-0797057 model = cd_fast.enet_coordinate_descent_gram(9705897059decomposition/tests/test_dict_learning.py: 13 warnings97060 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384186e-07, tolerance: 4.853e-0897061 model = cd_fast.enet_coordinate_descent_gram(9706297063decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97064decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97065decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97066decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97067decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97068decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97069decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97070decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97071 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384186e-07, tolerance: 4.439e-0897072 model = cd_fast.enet_coordinate_descent_gram(9707397074decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97075decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97076decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97077decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97078decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97079decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97080decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97081decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97082 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768372e-07, tolerance: 5.441e-0897083 model = cd_fast.enet_coordinate_descent_gram(9708497085decomposition/tests/test_dict_learning.py: 21 warnings97086 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.152557e-07, tolerance: 1.462e-0797087 model = cd_fast.enet_coordinate_descent_gram(9708897089decomposition/tests/test_dict_learning.py: 26 warnings97090 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192093e-07, tolerance: 3.217e-0897091 model = cd_fast.enet_coordinate_descent_gram(9709297093decomposition/tests/test_dict_learning.py: 34 warnings97094 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192093e-07, tolerance: 4.853e-0897095 model = cd_fast.enet_coordinate_descent_gram(9709697097decomposition/tests/test_dict_learning.py: 15 warnings97098 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192093e-06, tolerance: 1.462e-0797099 model = cd_fast.enet_coordinate_descent_gram(9710097101decomposition/tests/test_dict_learning.py: 19 warnings97102 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384186e-07, tolerance: 8.058e-0897103 model = cd_fast.enet_coordinate_descent_gram(9710497105decomposition/tests/test_dict_learning.py: 19 warnings97106 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768372e-07, tolerance: 8.058e-0897107 model = cd_fast.enet_coordinate_descent_gram(9710897109decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97110decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97111decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97112decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97113decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97114decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97115decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97116decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97117decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97118 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384186e-07, tolerance: 1.198e-0797119 model = cd_fast.enet_coordinate_descent_gram(9712097121decomposition/tests/test_dict_learning.py: 13 warnings97122 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192093e-07, tolerance: 4.647e-0897123 model = cd_fast.enet_coordinate_descent_gram(9712497125decomposition/tests/test_dict_learning.py: 23 warnings97126 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768372e-07, tolerance: 1.198e-0797127 model = cd_fast.enet_coordinate_descent_gram(9712897129decomposition/tests/test_dict_learning.py: 12 warnings97130 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384186e-07, tolerance: 5.441e-0897131 model = cd_fast.enet_coordinate_descent_gram(9713297133decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97134decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97135decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97136decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97137decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97138decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97139decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97140decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97141 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.536743e-07, tolerance: 1.198e-0797142 model = cd_fast.enet_coordinate_descent_gram(9714397144decomposition/tests/test_dict_learning.py: 15 warnings97145 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.536743e-07, tolerance: 1.246e-0797146 model = cd_fast.enet_coordinate_descent_gram(9714797148decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars]97149 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576279e-07, tolerance: 3.217e-0897150 model = cd_fast.enet_coordinate_descent_gram(9715197152decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars]97153decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97154decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97155 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384186e-07, tolerance: 1.246e-0797156 model = cd_fast.enet_coordinate_descent_gram(9715797158metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score2-2-1]97159metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score5-2-1]97160metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score]97161metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score]97162metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]97163metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]97164metrics/tests/test_common.py::test_returned_value_consistency[top_k_accuracy_score]97165 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_ranking.py:2221: UndefinedMetricWarning: 'k' (2) greater than or equal to 'n_classes' (2) will result in a perfect score and is therefore meaningless.97166 warnings.warn(9716797168linear_model/tests/test_ridge.py::test_regularization_limits_ridge_gcv[asarray-float32-wide-True-svd-zero_alpha]97169linear_model/tests/test_ridge.py::test_regularization_limits_ridge_gcv[asarray-float64-wide-True-svd-zero_alpha]97170 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_ridge.py:2165: RuntimeWarning: divide by zero encountered in divide97171 looe = alpha_c / alpha_d9717297173metrics/tests/test_regression.py::test_multioutput_regression97174 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/tests/test_regression.py:174: RuntimeWarning: invalid value encountered in scalar divide97175 - np.abs(y_true[:, i] - y_pred[:, i]).sum()9717697177metrics/tests/test_regression.py::test_multioutput_regression97178metrics/tests/test_regression.py::test_multioutput_regression97179metrics/tests/test_regression.py::test_multioutput_regression97180metrics/tests/test_regression.py::test_regression_metrics_at_limits97181metrics/tests/test_regression.py::test_regression_metrics_at_limits97182metrics/tests/test_regression.py::test_regression_multioutput_array97183metrics/tests/test_regression.py::test_regression_multioutput_array97184metrics/tests/test_regression.py::test_regression_multioutput_array97185metrics/tests/test_regression.py::test_regression_multioutput_array97186 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_regression.py:956: RuntimeWarning: invalid value encountered in divide97187 output_scores = 1 - (numerator / denominator)9718897189metrics/tests/test_regression.py::test_multioutput_regression97190metrics/tests/test_regression.py::test_regression_metrics_at_limits97191metrics/tests/test_regression.py::test_regression_metrics_at_limits97192metrics/tests/test_regression.py::test_regression_multioutput_array97193 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_regression.py:956: RuntimeWarning: divide by zero encountered in divide97194 output_scores = 1 - (numerator / denominator)9719597196decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-lars]97197decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-cd]97198decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-lars]97199decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-cd]97200 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.901673e-05, tolerance: 6.000e-0897201 model = cd_fast.enet_coordinate_descent_gram(9720297203decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-lars]97204decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-cd]97205decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-lars]97206decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-cd]97207 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.801638e-04, tolerance: 5.000e-0897208 model = cd_fast.enet_coordinate_descent_gram(9720997210decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97211decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97212decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97213decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97214decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97215decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97216 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.960464e-07, tolerance: 1.462e-0797217 model = cd_fast.enet_coordinate_descent_gram(9721897219decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97220decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97221decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97222decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97223decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97224decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97225 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192093e-07, tolerance: 8.058e-0897226 model = cd_fast.enet_coordinate_descent_gram(9722797228decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97229decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97230decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97231decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97232decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97233decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97234 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.980232e-07, tolerance: 5.441e-0897235 model = cd_fast.enet_coordinate_descent_gram(9723697237decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97238decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97239decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97240decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97241decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97242decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97243decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97244 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.536743e-07, tolerance: 1.462e-0797245 model = cd_fast.enet_coordinate_descent_gram(9724697247decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97248decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97249decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97250decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97251decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97252decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97253decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97254 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768372e-07, tolerance: 4.647e-0897255 model = cd_fast.enet_coordinate_descent_gram(9725697257decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97258decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97259decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97260decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97261decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97262decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97263decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97264 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768372e-07, tolerance: 4.439e-0897265 model = cd_fast.enet_coordinate_descent_gram(9726697267decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97268decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97269decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97270decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97271decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97272decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97273decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97274 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768372e-07, tolerance: 1.246e-0797275 model = cd_fast.enet_coordinate_descent_gram(9727697277decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97278decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97279decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97280decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97281decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97282decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97283decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97284decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97285 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.152557e-07, tolerance: 1.198e-0797286 model = cd_fast.enet_coordinate_descent_gram(9728797288linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence97289linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence97290linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence97291 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_stochastic_gradient.py:2553: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.97292 warnings.warn(9729397294decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97295decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97296decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97297decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97298 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768372e-07, tolerance: 1.462e-0797299 model = cd_fast.enet_coordinate_descent_gram(9730097301decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97302decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97303decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97304 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.536743e-07, tolerance: 1.134e-0797305 model = cd_fast.enet_coordinate_descent_gram(9730697307decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97308 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192093e-07, tolerance: 4.439e-0897309 model = cd_fast.enet_coordinate_descent_gram(9731097311decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97312 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576279e-07, tolerance: 4.853e-0897313 model = cd_fast.enet_coordinate_descent_gram(9731497315decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97316decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97317decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97318 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768372e-07, tolerance: 1.134e-0797319 model = cd_fast.enet_coordinate_descent_gram(9732097321decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97322 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576279e-07, tolerance: 4.647e-0897323 model = cd_fast.enet_coordinate_descent_gram(9732497325decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97326decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97327 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.430511e-06, tolerance: 1.462e-0797328 model = cd_fast.enet_coordinate_descent_gram(9732997330decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97331decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97332 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384186e-07, tolerance: 1.462e-0797333 model = cd_fast.enet_coordinate_descent_gram(9733497335decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97336decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97337 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.430511e-06, tolerance: 1.246e-0797338 model = cd_fast.enet_coordinate_descent_gram(9733997340metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97341metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97342metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97343metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f0.5_score]97344metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f1_score]97345metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f2_score]97346metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f0.5_score]97347metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f1_score]97348metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f2_score]97349 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1879: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in samples with no true nor predicted labels. Use `zero_division` parameter to control this behavior.97350 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9735197352metrics/tests/test_score_objects.py: 3 warnings97353metrics/tests/test_common.py: 2 warnings97354tests/test_multioutput.py: 6 warnings97355 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1879: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 in samples with no true or predicted labels. Use `zero_division` parameter to control this behavior.97356 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9735797358metrics/tests/test_score_objects.py: 4 warnings97359metrics/tests/test_common.py: 28 warnings97360 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1879: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in samples with no predicted labels. Use `zero_division` parameter to control this behavior.97361 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9736297363metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97364metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97365metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97366metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97367metrics/tests/test_common.py::test_returned_value_consistency[samples_recall_score]97368metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]97369metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_recall_score]97370 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1879: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in samples with no true labels. Use `zero_division` parameter to control this behavior.97371 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9737297373mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator0]97374mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator1]97375mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_setting_best_params97376 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/mixture/_base.py:293: ConvergenceWarning: Best performing initialization did not converge. Try different init parameters, or increase max_iter, tol, or check for degenerate data.97377 warnings.warn(9737897379ensemble/tests/test_bagging.py::test_oob_score_classification97380ensemble/tests/test_bagging.py::test_oob_score_classification97381ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start97382 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_bagging.py:925: RuntimeWarning: invalid value encountered in divide97383 oob_decision_function = predictions / predictions.sum(axis=1)[:, np.newaxis]9738497385metrics/tests/test_common.py: 9 warnings97386metrics/tests/test_classification.py: 3 warnings97387 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1879: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true nor predicted samples. Use `zero_division` parameter to control this behavior.97388 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9738997390metrics/tests/test_common.py: 75 warnings97391 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1879: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 due to no true nor predicted samples. Use `zero_division` parameter to control this behavior.97392 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9739397394metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]97395metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]97396metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]97397 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1879: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 in labels with no true or predicted samples. Use `zero_division` parameter to control this behavior.97398 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9739997400metrics/tests/test_common.py: 25 warnings97401 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1879: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 due to no true or predicted samples. Use `zero_division` parameter to control this behavior.97402 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9740397404metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]97405metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]97406metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]97407metrics/tests/test_common.py::test_no_averaging_labels97408metrics/tests/test_common.py::test_no_averaging_labels97409metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]97410metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]97411metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]97412 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1879: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.97413 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9741497415metrics/tests/test_common.py: 76 warnings97416 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1879: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.97417 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9741897419neighbors/tests/test_neighbors.py: 185 warnings97420tests/test_common.py: 48 warnings97421 /nix/store/dnjqmz5h66lnidpnay1dd6ch0xk3b6x7-python3.14-numpy-2.5.3/lib/python3.14/site-packages/numpy/_core/numeric.py:475: RuntimeWarning: invalid value encountered in cast97422 multiarray.copyto(res, fill_value, casting='unsafe')9742397424metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]97425metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]97426metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]97427metrics/tests/test_common.py::test_no_averaging_labels97428metrics/tests/test_common.py::test_no_averaging_labels97429metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]97430metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]97431metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]97432 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1879: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.97433 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9743497435metrics/tests/test_common.py: 25 warnings97436 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1879: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.97437 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9743897439metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params3-No samples of the positive class are present in `y_true`.]97440 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:2455: RuntimeWarning: invalid value encountered in scalar divide97441 positive_likelihood_ratio = pos_num / pos_denom9744297443metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params3-No samples of the positive class are present in `y_true`.]97444 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:2474: RuntimeWarning: invalid value encountered in scalar divide97445 negative_likelihood_ratio = neg_num / neg_denom9744697447metrics/tests/test_classification.py::test_likelihood_ratios97448metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_worst97449metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by0-1.0]97450metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by1-inf]97451metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by2-2.0]97452metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by3-nan]97453metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[nan-nan]97454 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_param_validation.py:218: UndefinedMetricWarning: `positive_likelihood_ratio` is ill-defined and set to `np.nan`. Use the `replace_undefined_by` param to 97455 return func(*args, **kwargs)9745697457metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_worst97458metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by0-1.0]97459metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by1-0.0]97460metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by2-0.5]97461metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by3-nan]97462metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[nan-nan]97463 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_param_validation.py:218: UndefinedMetricWarning: `negative_likelihood_ratio` is ill-defined and set to `np.nan`. Use the `replace_undefined_by` param to control this behavior. To suppress this warning or turn it into an error, see Python's `warnings` module and `warnings.catch_warnings()`.97464 return func(*args, **kwargs)9746597466metrics/tests/test_classification.py::test_cohen_kappa_undefined[0.0-test_case1]97467metrics/tests/test_classification.py::test_cohen_kappa_undefined[nan-test_case1]97468metrics/tests/test_classification.py::test_matthews_corrcoef[42]97469 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:614: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.97470 warnings.warn(9747197472feature_extraction/tests/test_text.py::test_vectorizer_pipeline_grid_selection97473 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 4 members, which is less than n_splits=5.97474 warnings.warn(9747597476feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--CountVectorizer]97477feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--TfidfVectorizer]97478feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--HashingVectorizer]97479utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info0]97480utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info1]97481utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info2]97482 /nix/store/pipmvz1pkb1gilazg5klrkyay85mmmxc-python3.14-pytest-9.1.1/lib/python3.14/site-packages/_pytest/raises.py:613: PytestWarning: matching against an empty string will *always* pass. If you want to check for an empty message you need to pass '^$'. If you don't want to match you should pass `None` or leave out the parameter.97483 super().__init__(match=match, check=check)9748497485feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-CountVectorizer]97486feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-HashingVectorizer]97487feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer]97488feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer]97489 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_extraction/text.py:557: UserWarning: The parameter 'token_pattern' will not be used since 'analyzer' != 'word'97490 warnings.warn(9749197492neighbors/tests/test_neighbors.py: 12 warnings97493 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_classification.py:878: RuntimeWarning: invalid value encountered in divide97494 proba_k /= normalizer9749597496metrics/tests/test_classification.py::test_brier_score_loss_invalid_inputs97497 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:192: UserWarning: Labels passed were ['eggs', 'spam', 'ham', 'yams']. But this function assumes labels are ordered lexicographically. Pass the ordered labels=['eggs', 'ham', 'spam', 'yams'] and ensure that the columns of y_prob correspond to this ordering.97498 warnings.warn(9749997500metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2]97501 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:2939: UserWarning: y_pred contains classes not in y_true97502 warnings.warn("y_pred contains classes not in y_true")9750397504ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-False-BaggingRegressor]97505ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-False-BaggingClassifier]97506ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-True-BaggingRegressor]97507ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-True-BaggingClassifier]97508ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-False-BaggingRegressor]97509ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-False-BaggingClassifier]97510ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-True-BaggingRegressor]97511ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-True-BaggingClassifier]97512 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_bootstrap.py:64: UserWarning: Using the fractional value max_samples=0.8 when the total sum of sample weights is 3.0 results in a low number (2) of bootstrap samples. We recommend passing `max_samples` as an integer instead.97513 warn(9751497515ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start97516 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_bagging.py:919: UserWarning: Some inputs do not have OOB scores. This probably means too few estimators were used to compute any reliable oob estimates.97517 warn(9751897519metrics/tests/test_classification.py::test_classification_metric_pos_label_types[classes3-precision_recall_fscore_support]97520 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:1929: UserWarning: Note that pos_label (set to 'one') is ignored when average != 'binary' (got None). You may use labels=[pos_label] to specify a single positive class.97521 warnings.warn(9752297523ensemble/tests/test_bagging.py::test_bagging_regressor_with_missing_inputs97524tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]97525tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]97526tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]97527tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]97528 /nix/store/dnjqmz5h66lnidpnay1dd6ch0xk3b6x7-python3.14-numpy-2.5.3/lib/python3.14/site-packages/numpy/_core/fromnumeric.py:83: RuntimeWarning: invalid value encountered in reduce97529 return ufunc.reduce(obj, axis, dtype, out, **passkwargs)9753097531ensemble/tests/test_bagging.py::test_bagging_classifier_with_missing_inputs97532ensemble/tests/test_bagging.py::test_bagging_classifier_with_missing_inputs97533ensemble/tests/test_bagging.py::test_bagging_classifier_with_missing_inputs97534ensemble/tests/test_bagging.py::test_bagging_classifier_with_missing_inputs97535ensemble/tests/test_bagging.py::test_bagging_classifier_with_missing_inputs97536tree/tests/test_tree.py::test_probability97537utils/tests/test_response.py::test_get_response_values_multiclass[estimator1-predict_log_proba]97538 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_classes.py:1083: RuntimeWarning: divide by zero encountered in log97539 return np.log(proba)9754097541ensemble/tests/test_bagging.py::test_metadata_routing_with_dynamic_method_selection[ConsumingClassifierWithOnlyPredict-predict_log_proba-predict]97542 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_bagging.py:1123: RuntimeWarning: divide by zero encountered in log97543 log_proba = np.log(self.predict_proba(X, **params))9754497545metrics/tests/test_classification.py::test_d2_log_loss_score_label_order97546 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:192: UserWarning: Labels passed were [0, 2, 1]. But this function assumes labels are ordered lexicographically. Pass the ordered labels=[0, 1, 2] and ensure that the columns of y_prob correspond to this ordering.97547 warnings.warn(9754897549neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsClassifier]97550neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsClassifier]97551neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsRegressor]97552neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsRegressor]97553neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsClassifier]97554neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsClassifier]97555neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsRegressor]97556neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsRegressor]97557 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_base.py:591: UserWarning: cannot use tree with sparse input: using brute force97558 warnings.warn("cannot use tree with sparse input: using brute force")9755997560metrics/tests/test_classification.py::test_d2_brier_score_with_labels97561metrics/tests/test_classification.py::test_d2_brier_score_with_labels97562 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:192: UserWarning: Labels passed were [2, 0, 1]. But this function assumes labels are ordered lexicographically. Pass the ordered labels=[0, 1, 2] and ensure that the columns of y_prob correspond to this ordering.97563 warnings.warn(9756497565decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97566 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.788139e-07, tolerance: 5.441e-0897567 model = cd_fast.enet_coordinate_descent_gram(9756897569decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97570 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.152557e-07, tolerance: 1.134e-0797571 model = cd_fast.enet_coordinate_descent_gram(9757297573decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97574 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192093e-06, tolerance: 1.134e-0797575 model = cd_fast.enet_coordinate_descent_gram(9757697577decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97578 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192093e-06, tolerance: 1.198e-0797579 model = cd_fast.enet_coordinate_descent_gram(9758097581decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97582 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.430511e-06, tolerance: 1.198e-0797583 model = cd_fast.enet_coordinate_descent_gram(9758497585cluster/tests/test_spectral.py::test_spectral_clustering_np_matrix_raises97586 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/tests/test_spectral.py:316: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.97587 X = np.matrix([[0.0, 2.0], [2.0, 0.0]])9758897589feature_selection/tests/test_feature_select.py::test_invalid_k97590feature_selection/tests/test_feature_select.py::test_invalid_k97591 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_selection/_univariate_selection.py:110: UserWarning: Features [0] are constant.97592 warnings.warn("Features %s are constant." % constant_features_idx, UserWarning)9759397594feature_selection/tests/test_feature_select.py::test_invalid_k97595feature_selection/tests/test_feature_select.py::test_invalid_k97596feature_selection/tests/test_feature_select.py::test_f_classif_constant_feature97597 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_selection/_univariate_selection.py:111: RuntimeWarning: invalid value encountered in divide97598 f = msb / msw9759997600preprocessing/tests/test_data.py::test_quantile_transform_and_inverse97601preprocessing/tests/test_data.py::test_one_to_one_features[QuantileTransformer]97602 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_data.py:2905: UserWarning: n_quantiles (1000) is greater than the total number of samples (150). n_quantiles is set to n_samples.97603 warnings.warn(9760497605preprocessing/tests/test_data.py::test_quantile_transform_and_inverse97606 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_data.py:2905: UserWarning: n_quantiles (1000) is greater than the total number of samples (7). n_quantiles is set to n_samples.97607 warnings.warn(9760897609preprocessing/tests/test_data.py::test_quantile_transform_nan97610 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_data.py:2905: UserWarning: n_quantiles (10) is greater than the total number of samples (3). n_quantiles is set to n_samples.97611 warnings.warn(9761297613preprocessing/tests/test_data.py::test_quantile_transform_nan97614 /nix/store/dnjqmz5h66lnidpnay1dd6ch0xk3b6x7-python3.14-numpy-2.5.3/lib/python3.14/site-packages/numpy/lib/_nanfunctions_impl.py:1593: RuntimeWarning: All-NaN slice encountered97615 return fnb._ureduce(a,9761697617feature_selection/tests/test_from_model.py: 4 warnings97618tests/test_common.py: 12 warnings97619 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_selection/_base.py:124: UserWarning: No features were selected: either the data is too noisy or the selection test too strict.97620 warnings.warn(9762197622covariance/tests/test_graphical_lasso.py: 20 warnings97623 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/covariance/_empirical_covariance.py:100: UserWarning: Only one sample available. You may want to reshape your data array97624 warnings.warn(9762597626covariance/tests/test_graphical_lasso.py::test_graphical_lasso_cv[42]97627 /nix/store/dnjqmz5h66lnidpnay1dd6ch0xk3b6x7-python3.14-numpy-2.5.3/lib/python3.14/site-packages/numpy/_core/_methods.py:188: RuntimeWarning: invalid value encountered in subtract97628 x = um.subtract(arr, arrmean, out=...)9762997630linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-0.001]97631linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-0.1]97632linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1]97633linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-10]97634linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-100]97635linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1000]97636linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1000000.0]97637 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_logistic.py:1429: UserWarning: Inconsistent values: penalty=l1 with l1_ratio=0.0. penalty is deprecated. Please use l1_ratio only.97638 warnings.warn(9763997640covariance/tests/test_robust_covariance.py::test_mcd[42]97641 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.597510391937590 > -56.105425972934100). You may want to try with a higher value of support_fraction (current value: 1.000).97642 warnings.warn(9764397644covariance/tests/test_robust_covariance.py::test_mcd[42]97645 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-56.159679702579268 > -57.174565430174425). You may want to try with a higher value of support_fraction (current value: 1.000).97646 warnings.warn(9764797648covariance/tests/test_robust_covariance.py::test_mcd_issue3367[42]97649 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:793: UserWarning: The covariance matrix associated to your dataset is not full rank97650 warnings.warn(9765197652tests/test_build.py::test_extension_type_module97653 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/experimental/enable_hist_gradient_boosting.py:18: UserWarning: Since version 1.0, it is not needed to import enable_hist_gradient_boosting anymore. HistGradientBoostingClassifier and HistGradientBoostingRegressor are now stable and can be normally imported from sklearn.ensemble.97654 warnings.warn(9765597656neighbors/tests/test_nca.py::test_callback97657 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_nca.py:337: ConvergenceWarning: [NeighborhoodComponentsAnalysis] NCA did not converge: STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT97658 warn(9765997660neighbors/tests/test_nearest_centroid.py::test_features_zero_var97661neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[array]97662neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_matrix]97663neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_array]97664 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_nearest_centroid.py:241: UserWarning: self.within_class_std_dev_ has at least 1 zero standard deviation.Inputs within the same classes for at least 1 feature are identical.97665 warnings.warn(9766697667mixture/tests/test_gaussian_mixture.py::test_regularisation97668mixture/tests/test_gaussian_mixture.py::test_regularisation97669mixture/tests/test_gaussian_mixture.py::test_regularisation97670mixture/tests/test_gaussian_mixture.py::test_regularisation97671mixture/tests/test_gaussian_mixture.py::test_regularisation97672mixture/tests/test_gaussian_mixture.py::test_regularisation97673mixture/tests/test_gaussian_mixture.py::test_regularisation97674mixture/tests/test_gaussian_mixture.py::test_regularisation97675 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (10). Possibly due to duplicate points in X.97676 return fit_method(estimator, *args, **kwargs)9767797678preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0]97679preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0]97680preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3]97681preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3]97682preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6]97683preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6]97684preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8]97685preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8]97686 /nix/store/9zjqlm36h6sdspdb3hhqs8h4p14b6wmr-python3.14-scipy-1.18.1/lib/python3.14/site-packages/scipy/sparse/_dia.py:76: SparseEfficiencyWarning: Constructing a DIA matrix with 115 diagonals is inefficient97687 A = self._coo_container(arg1, dtype=dtype, shape=shape).todia()9768897689preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]97690preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]97691 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/extmath.py:1211: RuntimeWarning: invalid value encountered in divide97692 updated_mean = (last_sum + new_sum) / updated_sample_count9769397694preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]97695preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]97696 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/extmath.py:1216: RuntimeWarning: invalid value encountered in divide97697 T = new_sum / new_sample_count9769897699preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]97700preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]97701 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/extmath.py:1240: RuntimeWarning: invalid value encountered in divide97702 new_unnormalized_variance -= correction**2 / new_sample_count9770397704model_selection/tests/test_successive_halving.py: 1 warning97705model_selection/tests/test_search.py: 4 warnings97706tests/test_metaestimators_metadata_routing.py: 8 warnings97707 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:326: UserWarning: The total space of parameters 2 is smaller than n_iter=10. Running 2 iterations. For exhaustive searches, use GridSearchCV.97708 warnings.warn(9770997710model_selection/tests/test_successive_halving.py::test_input_errors[params1-Cannot use parameter a as the resource since it is part of-HalvingRandomSearchCV]97711 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:326: UserWarning: The total space of parameters 1 is smaller than n_iter=100. Running 1 iterations. For exhaustive searches, use GridSearchCV.97712 warnings.warn(9771397714model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97715model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97716model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97717model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97718 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:326: UserWarning: The total space of parameters 1 is smaller than n_iter=4. Running 1 iterations. For exhaustive searches, use GridSearchCV.97719 warnings.warn(9772097721model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97722model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97723model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97724 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:326: UserWarning: The total space of parameters 1 is smaller than n_iter=2. Running 1 iterations. For exhaustive searches, use GridSearchCV.97725 warnings.warn(9772697727svm/tests/test_svm.py: 16 warnings97728tests/test_calibration.py: 16 warnings97729feature_selection/tests/test_rfe.py: 50 warnings97730model_selection/tests/test_search.py: 30 warnings97731 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/svm/_base.py:1298: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.97732 warnings.warn(9773397734svm/tests/test_svm.py::test_svc_nonfinite_params[42]97735 /nix/store/dnjqmz5h66lnidpnay1dd6ch0xk3b6x7-python3.14-numpy-2.5.3/lib/python3.14/site-packages/numpy/_core/_methods.py:168: RuntimeWarning: overflow encountered in reduce97736 arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where)9773797738svm/tests/test_svm.py::test_consistent_decision_function[42]97739svm/tests/test_svm.py::test_consistent_decision_function[42]97740 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/svm/_base.py:340: ConvergenceWarning: Solver terminated early (max_iter=1). Consider pre-processing your data with StandardScaler or MinMaxScaler.97741 warnings.warn(9774297743tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_one_label_sample_weights]97744 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/naive_bayes.py:537: RuntimeWarning: divide by zero encountered in log97745 jointi = xp.log(self.class_prior_[i])9774697747preprocessing/tests/test_data.py::test_transformer_inverse_transform_shape_error[QuantileTransformer]97748 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_data.py:2905: UserWarning: n_quantiles (1000) is greater than the total number of samples (3). n_quantiles is set to n_samples.97749 warnings.warn(9775097751preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5]97752 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_discretization.py:385: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 1 are removed. Consider decreasing the number of bins.97753 warnings.warn(9775497755preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5]97756 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_discretization.py:385: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 2 are removed. Consider decreasing the number of bins.97757 warnings.warn(9775897759preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5]97760 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_discretization.py:385: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 3 are removed. Consider decreasing the number of bins.97761 warnings.warn(9776297763model_selection/tests/test_validation.py: 124 warnings97764 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_split.py:884: UserWarning: The groups parameter is ignored by StratifiedKFold97765 warnings.warn(9776697767preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1-averaged_inverted_cdf]97768 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (3). Possibly due to duplicate points in X.97769 return fit_method(estimator, *args, **kwargs)9777097771preprocessing/tests/test_discretization.py::test_kbinsdiscretizer_subsample_default97772preprocessing/tests/test_discretization.py::test_kbinsdiscretizer_subsample_default97773 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_discretization.py:385: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 0 are removed. Consider decreasing the number of bins.97774 warnings.warn(9777597776preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown[warn]97777preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn]97778preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn]97779 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_encoders.py:262: UserWarning: Found unknown categories in columns [0, 1] during transform. These unknown categories will be encoded as the infrequent category.97780 warnings.warn(msg, UserWarning)9778197782preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown_strings[warn]97783preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-warn]97784preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[numeric-warn]97785preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-warn]97786preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-none-warn]97787preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-nan-warn]97788preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-None-and-nan-warn]97789 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_encoders.py:262: UserWarning: Found unknown categories in columns [0] during transform. These unknown categories will be encoded as the infrequent category.97790 warnings.warn(msg, UserWarning)9779197792preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn]97793preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn]97794 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_encoders.py:262: UserWarning: Found unknown categories in columns [1] during transform. These unknown categories will be encoded as the infrequent category.97795 warnings.warn(msg, UserWarning)9779697797model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]97798model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]97799model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]97800model_selection/tests/test_search.py::test_search_cv_sample_weight_equivalence[estimator1]97801model_selection/tests/test_search.py::test_search_cv_sample_weight_equivalence[estimator1]97802model_selection/tests/test_search.py::test_empty_cv_iterator_error97803model_selection/tests/test_search.py::test_random_search_bad_cv97804 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:326: UserWarning: The total space of parameters 3 is smaller than n_iter=10. Running 3 iterations. For exhaustive searches, use GridSearchCV.97805 warnings.warn(9780697807tests/test_common.py: 16 warnings97808 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/decomposition/_pca.py:584: RuntimeWarning: invalid value encountered in divide97809 explained_variance_ = (S**2) / (n_samples - 1)9781097811tests/test_calibration.py: 15 warnings97812 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/calibration.py:395: UserWarning: Since FrozenEstimator does not appear to accept sample_weight, sample weights will only be used for the calibration itself. This can be caused by a limitation of the current scikit-learn API. See the following issue for more details: https://github.com/scikit-learn/scikit-learn/issues/21134. Be warned that the result of the calibration is likely to be incorrect.97813 warnings.warn(9781497815model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97816model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97817model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97818model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97819model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97820model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97821 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:326: UserWarning: The total space of parameters 3 is smaller than n_iter=30. Running 3 iterations. For exhaustive searches, use GridSearchCV.97822 warnings.warn(9782397824model_selection/tests/test_search.py: 10 warnings97825 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py:956: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 97826 Traceback (most recent call last):97827 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score97828 scores = scorer(estimator, X_test, y_test, **score_params)97829 TypeError: test_unsupported_sample_weight_scorer.<locals>.fake_score_func() takes 2 positional arguments but 3 were given97830 97831 warnings.warn(9783297833model_selection/tests/test_search.py::test_unsupported_sample_weight_scorer97834model_selection/tests/test_search.py::test_search_cv_results_none_param97835 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:1234: UserWarning: One or more of the test scores are non-finite: [nan nan]97836 warnings.warn(9783797838tests/test_calibration.py::test_calibration_less_classes[False]97839tests/test_calibration.py::test_calibration_less_classes[False]97840 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py:1381: RuntimeWarning: Number of classes in training fold (3) does not match total number of classes (4). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds97841 warnings.warn(9784297843model_selection/tests/test_search.py::test_grid_search_failing_classifier97844 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:1234: UserWarning: One or more of the test scores are non-finite: [0.5 0.5 nan]97845 warnings.warn(9784697847model_selection/tests/test_search.py: 1 warning97848model_selection/tests/test_validation.py: 15 warnings97849 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_stochastic_gradient.py:1427: RuntimeWarning: divide by zero encountered in log97850 return np.log(self.predict_proba(X))9785197852model_selection/tests/test_search.py::test_search_estimator_param[RandomizedSearchCV-param_distributions]97853model_selection/tests/test_search.py::test_multi_metric_search_forwards_metadata[RandomizedSearchCV-param_distributions]97854model_selection/tests/test_search.py::test_score_rejects_params_with_no_routing_enabled[RandomizedSearchCV-param_distributions]97855 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:326: UserWarning: The total space of parameters 1 is smaller than n_iter=10. Running 1 iterations. For exhaustive searches, use GridSearchCV.97856 warnings.warn(9785797858model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape97859 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py:1381: RuntimeWarning: Number of classes in training fold (1) does not match total number of classes (2). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds97860 warnings.warn(9786197862model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape97863model_selection/tests/test_validation.py::test_cross_val_predict_class_subset97864model_selection/tests/test_validation.py::test_cross_val_predict_class_subset97865 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py:1381: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds97866 warnings.warn(9786797868feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]97869 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_selection/_variance_threshold.py:114: RuntimeWarning: Degrees of freedom <= 0 for slice.97870 self.variances_ = np.nanvar(X, axis=0)9787197872feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]97873feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_matrix]97874feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_array]97875feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_matrix]97876feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_array]97877feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_matrix]97878feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_array]97879 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_selection/_variance_threshold.py:122: RuntimeWarning: All-NaN slice encountered97880 self.variances_ = np.nanmin(compare_arr, axis=0)9788197882gaussian_process/tests/test_gpc.py: 14 warnings97883 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/gaussian_process/kernels.py:455: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__constant_value is close to the specified upper bound 100.0. Increasing the bound and calling fit again may find a better value.97884 warnings.warn(9788597886model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced97887model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced97888 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=2.97889 warnings.warn(9789097891model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced97892 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py:1381: RuntimeWarning: Number of classes in training fold (2) does not match total number of classes (3). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds97893 warnings.warn(9789497895tests/test_common.py: 23 warnings97896 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_bicluster.py:31: RuntimeWarning: divide by zero encountered in divide97897 row_diag = np.asarray(1.0 / np.sqrt(X.sum(axis=1))).squeeze()9789897899tests/test_common.py::test_estimators[SpectralCoclustering(n_clusters=2,n_init=2)-check_estimator_sparse_array]97900tests/test_common.py::test_estimators[SpectralCoclustering(n_clusters=2,n_init=2)-check_estimator_sparse_matrix]97901 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_bicluster.py:346: RuntimeWarning: invalid value encountered in multiply97902 z = np.vstack((row_diag[:, np.newaxis] * u, col_diag[:, np.newaxis] * v))9790397904model_selection/tests/test_search.py: 13 warnings97905 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/callback/_callback_context.py:502: UserWarning: The estimator NoCallbackEstimator does not support callbacks. The callbacks attached to GridSearchCV will not be propagated to this estimator.97906 warnings.warn(9790797908model_selection/tests/test_search.py: 13 warnings97909 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/callback/_callback_context.py:502: UserWarning: The estimator NoCallbackEstimator does not support callbacks. The callbacks attached to RandomizedSearchCV will not be propagated to this estimator.97910 warnings.warn(9791197912model_selection/tests/test_search.py: 17 warnings97913 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/callback/_callback_context.py:502: UserWarning: The estimator NoCallbackEstimator does not support callbacks. The callbacks attached to HalvingGridSearchCV will not be propagated to this estimator.97914 warnings.warn(9791597916model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-True]97917model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-True]97918model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-True]97919model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-False]97920model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-False]97921 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/callback/_callback_context.py:502: UserWarning: The estimator NoCallbackEstimator does not support callbacks. The callbacks attached to HalvingRandomSearchCV will not be propagated to this estimator.97922 warnings.warn(9792397924model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight97925model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight97926model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight97927model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight97928 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py:956: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 97929 Traceback (most recent call last):97930 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score97931 scores = scorer(estimator, X_test, y_test, **score_params)97932 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 80, in inner_f97933 return f(*args, **kwargs)97934 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 322, in __call__97935 return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)97936 ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^97937 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 463, in _score97938 return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)97939 ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^97940 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper97941 return func(*args, **kwargs)97942 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py", line 405, in accuracy_score97943 y_type, _, y_true, y_pred, sample_weight = _check_targets(97944 ~~~~~~~~~~~~~~^97945 y_true, y_pred, sample_weight97946 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^97947 )97948 ^97949 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py", line 134, in _check_targets97950 raise ValueError(97951 ...<3 lines>...97952 )97953 ValueError: Classification metrics can't handle a mix of binary and continuous targets97954 97955 warnings.warn(9795697957model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight97958 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:1234: UserWarning: One or more of the test scores are non-finite: [ nan 0.25 nan]97959 warnings.warn(9796097961ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]97962ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]97963ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]97964ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]97965 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_forest.py:843: UserWarning: class_weight presets "balanced" or "balanced_subsample" are not recommended for warm_start if the fitted data differs from the full dataset. In order to use "balanced" weights, use compute_class_weight ("balanced", classes, y). In place of y you can use a large enough sample of the full training set target to properly estimate the class frequency distributions. Pass the resulting weights as the class_weight parameter.97966 warn(9796797968tests/test_common.py::test_transformers_get_feature_names_out[FastICA(max_iter=5)]97969tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]97970tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]97971tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]97972tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]97973 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/decomposition/_fastica.py:132: ConvergenceWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.97974 warnings.warn(9797597976tests/test_common.py::test_transformers_get_feature_names_out[Isomap()]97977 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/manifold/_isomap.py:386: UserWarning: The number of connected components of the neighbors graph is 2 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.97978 self._fit_transform(X)9797997980tests/test_common.py::test_set_output_transform[QuantileTransformer()]97981tests/test_common.py::test_set_output_transform[QuantileTransformer()]97982tests/test_common.py::test_set_output_transform[QuantileTransformer()]97983tests/test_common.py::test_set_output_transform[QuantileTransformer()]97984 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_data.py:2905: UserWarning: n_quantiles (1000) is greater than the total number of samples (20). n_quantiles is set to n_samples.97985 warnings.warn(9798697987ensemble/tests/test_forest.py::test_oob_not_computed_twice[ExtraTreesClassifier]97988 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_forest.py:589: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable OOB estimates.97989 warn(9799097991tests/test_common.py::test_check_inplace_ensure_writeable[QuantileTransformer()]97992 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_data.py:2905: UserWarning: n_quantiles (1000) is greater than the total number of samples (100). n_quantiles is set to n_samples.97993 warnings.warn(9799497995tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]97996 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.360040e-02, tolerance: 6.864e-0397997 model = cd_fast.enet_coordinate_descent_gram(9799897999tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98000 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.665116e-02, tolerance: 6.864e-0398001 model = cd_fast.enet_coordinate_descent_gram(9800298003tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98004 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.033257e-02, tolerance: 6.864e-0398005 model = cd_fast.enet_coordinate_descent_gram(9800698007tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98008 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.233829e-02, tolerance: 6.864e-0398009 model = cd_fast.enet_coordinate_descent_gram(9801098011tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98012 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.399714e-02, tolerance: 6.864e-0398013 model = cd_fast.enet_coordinate_descent_gram(9801498015tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98016 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.539150e-02, tolerance: 6.864e-0398017 model = cd_fast.enet_coordinate_descent_gram(9801898019tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98020 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.655165e-02, tolerance: 6.864e-0398021 model = cd_fast.enet_coordinate_descent_gram(9802298023tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98024 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.750426e-02, tolerance: 6.864e-0398025 model = cd_fast.enet_coordinate_descent_gram(9802698027tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98028 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.827386e-02, tolerance: 6.864e-0398029 model = cd_fast.enet_coordinate_descent_gram(9803098031tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98032 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.888296e-02, tolerance: 6.864e-0398033 model = cd_fast.enet_coordinate_descent_gram(9803498035tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98036 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.935201e-02, tolerance: 6.864e-0398037 model = cd_fast.enet_coordinate_descent_gram(9803898039tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98040 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.969958e-02, tolerance: 6.864e-0398041 model = cd_fast.enet_coordinate_descent_gram(9804298043tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98044 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.994239e-02, tolerance: 6.864e-0398045 model = cd_fast.enet_coordinate_descent_gram(9804698047tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98048 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.009542e-02, tolerance: 6.864e-0398049 model = cd_fast.enet_coordinate_descent_gram(9805098051tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98052 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.017208e-02, tolerance: 6.864e-0398053 model = cd_fast.enet_coordinate_descent_gram(9805498055tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98056 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.018426e-02, tolerance: 6.864e-0398057 model = cd_fast.enet_coordinate_descent_gram(9805898059tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98060 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.014249e-02, tolerance: 6.864e-0398061 model = cd_fast.enet_coordinate_descent_gram(9806298063tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98064 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.005604e-02, tolerance: 6.864e-0398065 model = cd_fast.enet_coordinate_descent_gram(9806698067tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98068 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.993305e-02, tolerance: 6.864e-0398069 model = cd_fast.enet_coordinate_descent_gram(9807098071tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98072 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.978062e-02, tolerance: 6.864e-0398073 model = cd_fast.enet_coordinate_descent_gram(9807498075tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98076 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.960491e-02, tolerance: 6.864e-0398077 model = cd_fast.enet_coordinate_descent_gram(9807898079tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98080 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.941127e-02, tolerance: 6.864e-0398081 model = cd_fast.enet_coordinate_descent_gram(9808298083tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98084 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.920428e-02, tolerance: 6.864e-0398085 model = cd_fast.enet_coordinate_descent_gram(9808698087tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98088 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.898788e-02, tolerance: 6.864e-0398089 model = cd_fast.enet_coordinate_descent_gram(9809098091tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98092 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.876539e-02, tolerance: 6.864e-0398093 model = cd_fast.enet_coordinate_descent_gram(9809498095tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98096 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.853966e-02, tolerance: 6.864e-0398097 model = cd_fast.enet_coordinate_descent_gram(9809898099tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98100 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.831304e-02, tolerance: 6.864e-0398101 model = cd_fast.enet_coordinate_descent_gram(9810298103tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98104 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.808750e-02, tolerance: 6.864e-0398105 model = cd_fast.enet_coordinate_descent_gram(9810698107tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98108 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.786467e-02, tolerance: 6.864e-0398109 model = cd_fast.enet_coordinate_descent_gram(9811098111tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98112 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.764586e-02, tolerance: 6.864e-0398113 model = cd_fast.enet_coordinate_descent_gram(9811498115tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98116 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.743214e-02, tolerance: 6.864e-0398117 model = cd_fast.enet_coordinate_descent_gram(9811898119tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98120 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.722433e-02, tolerance: 6.864e-0398121 model = cd_fast.enet_coordinate_descent_gram(9812298123tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98124 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.702307e-02, tolerance: 6.864e-0398125 model = cd_fast.enet_coordinate_descent_gram(9812698127tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98128 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.682884e-02, tolerance: 6.864e-0398129 model = cd_fast.enet_coordinate_descent_gram(9813098131tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98132 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.664196e-02, tolerance: 6.864e-0398133 model = cd_fast.enet_coordinate_descent_gram(9813498135tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98136 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.646266e-02, tolerance: 6.864e-0398137 model = cd_fast.enet_coordinate_descent_gram(9813898139tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98140 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.629104e-02, tolerance: 6.864e-0398141 model = cd_fast.enet_coordinate_descent_gram(9814298143tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98144 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.612713e-02, tolerance: 6.864e-0398145 model = cd_fast.enet_coordinate_descent_gram(9814698147tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98148 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.597090e-02, tolerance: 6.864e-0398149 model = cd_fast.enet_coordinate_descent_gram(9815098151tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98152 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.582225e-02, tolerance: 6.864e-0398153 model = cd_fast.enet_coordinate_descent_gram(9815498155tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98156 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.568104e-02, tolerance: 6.864e-0398157 model = cd_fast.enet_coordinate_descent_gram(9815898159tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98160 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.554709e-02, tolerance: 6.864e-0398161 model = cd_fast.enet_coordinate_descent_gram(9816298163tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98164 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.542021e-02, tolerance: 6.864e-0398165 model = cd_fast.enet_coordinate_descent_gram(9816698167tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98168 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.530015e-02, tolerance: 6.864e-0398169 model = cd_fast.enet_coordinate_descent_gram(9817098171tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98172 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.518668e-02, tolerance: 6.864e-0398173 model = cd_fast.enet_coordinate_descent_gram(9817498175tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98176 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.507955e-02, tolerance: 6.864e-0398177 model = cd_fast.enet_coordinate_descent_gram(9817898179tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98180 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.497850e-02, tolerance: 6.864e-0398181 model = cd_fast.enet_coordinate_descent_gram(9818298183tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98184 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.488326e-02, tolerance: 6.864e-0398185 model = cd_fast.enet_coordinate_descent_gram(9818698187tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98188 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.479356e-02, tolerance: 6.864e-0398189 model = cd_fast.enet_coordinate_descent_gram(9819098191tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98192 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.470915e-02, tolerance: 6.864e-0398193 model = cd_fast.enet_coordinate_descent_gram(9819498195tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98196 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.462977e-02, tolerance: 6.864e-0398197 model = cd_fast.enet_coordinate_descent_gram(9819898199tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98200 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.455516e-02, tolerance: 6.864e-0398201 model = cd_fast.enet_coordinate_descent_gram(9820298203tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98204 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.448507e-02, tolerance: 6.864e-0398205 model = cd_fast.enet_coordinate_descent_gram(9820698207tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98208 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.441927e-02, tolerance: 6.864e-0398209 model = cd_fast.enet_coordinate_descent_gram(9821098211tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98212 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.435752e-02, tolerance: 6.864e-0398213 model = cd_fast.enet_coordinate_descent_gram(9821498215tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98216 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.429960e-02, tolerance: 6.864e-0398217 model = cd_fast.enet_coordinate_descent_gram(9821898219tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98220 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.424530e-02, tolerance: 6.864e-0398221 model = cd_fast.enet_coordinate_descent_gram(9822298223tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98224 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.419440e-02, tolerance: 6.864e-0398225 model = cd_fast.enet_coordinate_descent_gram(9822698227tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98228 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.414671e-02, tolerance: 6.864e-0398229 model = cd_fast.enet_coordinate_descent_gram(9823098231tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98232 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.410204e-02, tolerance: 6.864e-0398233 model = cd_fast.enet_coordinate_descent_gram(9823498235tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98236 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.406021e-02, tolerance: 6.864e-0398237 model = cd_fast.enet_coordinate_descent_gram(9823898239tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98240 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.402106e-02, tolerance: 6.864e-0398241 model = cd_fast.enet_coordinate_descent_gram(9824298243tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98244 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.398442e-02, tolerance: 6.864e-0398245 model = cd_fast.enet_coordinate_descent_gram(9824698247tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98248 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.395014e-02, tolerance: 6.864e-0398249 model = cd_fast.enet_coordinate_descent_gram(9825098251tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98252 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.391808e-02, tolerance: 6.864e-0398253 model = cd_fast.enet_coordinate_descent_gram(9825498255tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98256 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.388809e-02, tolerance: 6.864e-0398257 model = cd_fast.enet_coordinate_descent_gram(9825898259tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98260 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.386005e-02, tolerance: 6.864e-0398261 model = cd_fast.enet_coordinate_descent_gram(9826298263tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98264 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.383384e-02, tolerance: 6.864e-0398265 model = cd_fast.enet_coordinate_descent_gram(9826698267tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98268 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.380933e-02, tolerance: 6.864e-0398269 model = cd_fast.enet_coordinate_descent_gram(9827098271tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98272 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.378644e-02, tolerance: 6.864e-0398273 model = cd_fast.enet_coordinate_descent_gram(9827498275tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98276 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.376504e-02, tolerance: 6.864e-0398277 model = cd_fast.enet_coordinate_descent_gram(9827898279tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98280 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.374505e-02, tolerance: 6.864e-0398281 model = cd_fast.enet_coordinate_descent_gram(9828298283tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98284 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.372637e-02, tolerance: 6.864e-0398285 model = cd_fast.enet_coordinate_descent_gram(9828698287tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98288 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.370893e-02, tolerance: 6.864e-0398289 model = cd_fast.enet_coordinate_descent_gram(9829098291tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98292 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.369263e-02, tolerance: 6.864e-0398293 model = cd_fast.enet_coordinate_descent_gram(9829498295tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98296 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.367742e-02, tolerance: 6.864e-0398297 model = cd_fast.enet_coordinate_descent_gram(9829898299tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98300 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.366321e-02, tolerance: 6.864e-0398301 model = cd_fast.enet_coordinate_descent_gram(9830298303tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98304 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.364994e-02, tolerance: 6.864e-0398305 model = cd_fast.enet_coordinate_descent_gram(9830698307tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98308 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.363756e-02, tolerance: 6.864e-0398309 model = cd_fast.enet_coordinate_descent_gram(9831098311tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98312 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.362600e-02, tolerance: 6.864e-0398313 model = cd_fast.enet_coordinate_descent_gram(9831498315tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98316 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.361520e-02, tolerance: 6.864e-0398317 model = cd_fast.enet_coordinate_descent_gram(9831898319tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98320 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.360513e-02, tolerance: 6.864e-0398321 model = cd_fast.enet_coordinate_descent_gram(9832298323tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98324 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.359572e-02, tolerance: 6.864e-0398325 model = cd_fast.enet_coordinate_descent_gram(9832698327tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98328 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.358694e-02, tolerance: 6.864e-0398329 model = cd_fast.enet_coordinate_descent_gram(9833098331tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98332 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.357875e-02, tolerance: 6.864e-0398333 model = cd_fast.enet_coordinate_descent_gram(9833498335tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98336 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.357111e-02, tolerance: 6.864e-0398337 model = cd_fast.enet_coordinate_descent_gram(9833898339tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98340 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.356397e-02, tolerance: 6.864e-0398341 model = cd_fast.enet_coordinate_descent_gram(9834298343tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]98344tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]98345tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]98346tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]98347tests/test_common.py::test_transformers_get_feature_names_out[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]98348 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/decomposition/_nmf.py:2309: ConvergenceWarning: Maximum number of iterations 20 reached. Increase it to improve convergence.98349 warnings.warn(9835098351tests/test_common.py::test_set_output_transform[Nystroem()]98352tests/test_common.py::test_set_output_transform[Nystroem()]98353tests/test_common.py::test_set_output_transform[Nystroem()]98354tests/test_common.py::test_set_output_transform[Nystroem()]98355tests/test_common.py::test_transformers_get_feature_names_out[Nystroem()]98356 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/kernel_approximation.py:1041: UserWarning: n_components > n_samples. This is not possible.98357 n_components was set to n_samples, which results in inefficient evaluation of the full kernel.98358 warnings.warn(9835998360tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98361 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.242200e-02, tolerance: 6.864e-0398362 model = cd_fast.enet_coordinate_descent_gram(9836398364tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98365 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.823631e-02, tolerance: 6.864e-0398366 model = cd_fast.enet_coordinate_descent_gram(9836798368tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98369 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.152386e-02, tolerance: 6.864e-0398370 model = cd_fast.enet_coordinate_descent_gram(9837198372tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98373 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.256397e-02, tolerance: 6.864e-0398374 model = cd_fast.enet_coordinate_descent_gram(9837598376tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98377 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.317107e-02, tolerance: 6.864e-0398378 model = cd_fast.enet_coordinate_descent_gram(9837998380tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98381 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.349221e-02, tolerance: 6.864e-0398382 model = cd_fast.enet_coordinate_descent_gram(9838398384tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98385 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.358147e-02, tolerance: 6.864e-0398386 model = cd_fast.enet_coordinate_descent_gram(9838798388tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98389 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.348197e-02, tolerance: 6.864e-0398390 model = cd_fast.enet_coordinate_descent_gram(9839198392tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98393 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.323023e-02, tolerance: 6.864e-0398394 model = cd_fast.enet_coordinate_descent_gram(9839598396tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98397 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.285721e-02, tolerance: 6.864e-0398398 model = cd_fast.enet_coordinate_descent_gram(9839998400tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98401 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.238910e-02, tolerance: 6.864e-0398402 model = cd_fast.enet_coordinate_descent_gram(9840398404tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98405 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.184796e-02, tolerance: 6.864e-0398406 model = cd_fast.enet_coordinate_descent_gram(9840798408tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98409 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.125233e-02, tolerance: 6.864e-0398410 model = cd_fast.enet_coordinate_descent_gram(9841198412tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98413 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.061775e-02, tolerance: 6.864e-0398414 model = cd_fast.enet_coordinate_descent_gram(9841598416tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98417 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.995713e-02, tolerance: 6.864e-0398418 model = cd_fast.enet_coordinate_descent_gram(9841998420tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98421 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.928119e-02, tolerance: 6.864e-0398422 model = cd_fast.enet_coordinate_descent_gram(9842398424tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98425 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.859876e-02, tolerance: 6.864e-0398426 model = cd_fast.enet_coordinate_descent_gram(9842798428tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98429 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.791705e-02, tolerance: 6.864e-0398430 model = cd_fast.enet_coordinate_descent_gram(9843198432tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98433 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.724192e-02, tolerance: 6.864e-0398434 model = cd_fast.enet_coordinate_descent_gram(9843598436tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98437 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.657805e-02, tolerance: 6.864e-0398438 model = cd_fast.enet_coordinate_descent_gram(9843998440tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98441 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.592913e-02, tolerance: 6.864e-0398442 model = cd_fast.enet_coordinate_descent_gram(9844398444tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98445 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.529805e-02, tolerance: 6.864e-0398446 model = cd_fast.enet_coordinate_descent_gram(9844798448tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98449 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.468697e-02, tolerance: 6.864e-0398450 model = cd_fast.enet_coordinate_descent_gram(9845198452tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98453 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.409747e-02, tolerance: 6.864e-0398454 model = cd_fast.enet_coordinate_descent_gram(9845598456tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98457 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.353067e-02, tolerance: 6.864e-0398458 model = cd_fast.enet_coordinate_descent_gram(9845998460tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98461 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.298724e-02, tolerance: 6.864e-0398462 model = cd_fast.enet_coordinate_descent_gram(9846398464tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98465 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.246755e-02, tolerance: 6.864e-0398466 model = cd_fast.enet_coordinate_descent_gram(9846798468tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98469 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.197166e-02, tolerance: 6.864e-0398470 model = cd_fast.enet_coordinate_descent_gram(9847198472tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98473 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.149945e-02, tolerance: 6.864e-0398474 model = cd_fast.enet_coordinate_descent_gram(9847598476tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98477 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.105058e-02, tolerance: 6.864e-0398478 model = cd_fast.enet_coordinate_descent_gram(9847998480tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98481 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.062458e-02, tolerance: 6.864e-0398482 model = cd_fast.enet_coordinate_descent_gram(9848398484tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98485 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.022088e-02, tolerance: 6.864e-0398486 model = cd_fast.enet_coordinate_descent_gram(9848798488tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98489 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.983881e-02, tolerance: 6.864e-0398490 model = cd_fast.enet_coordinate_descent_gram(9849198492tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98493 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.947763e-02, tolerance: 6.864e-0398494 model = cd_fast.enet_coordinate_descent_gram(9849598496tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98497 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.913657e-02, tolerance: 6.864e-0398498 model = cd_fast.enet_coordinate_descent_gram(9849998500tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98501 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.881483e-02, tolerance: 6.864e-0398502 model = cd_fast.enet_coordinate_descent_gram(9850398504tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98505 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.851157e-02, tolerance: 6.864e-0398506 model = cd_fast.enet_coordinate_descent_gram(9850798508tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98509 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.822598e-02, tolerance: 6.864e-0398510 model = cd_fast.enet_coordinate_descent_gram(9851198512tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98513 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.795722e-02, tolerance: 6.864e-0398514 model = cd_fast.enet_coordinate_descent_gram(9851598516tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98517 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.770447e-02, tolerance: 6.864e-0398518 model = cd_fast.enet_coordinate_descent_gram(9851998520tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98521 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.746693e-02, tolerance: 6.864e-0398522 model = cd_fast.enet_coordinate_descent_gram(9852398524tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98525 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.724381e-02, tolerance: 6.864e-0398526 model = cd_fast.enet_coordinate_descent_gram(9852798528tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98529 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.703435e-02, tolerance: 6.864e-0398530 model = cd_fast.enet_coordinate_descent_gram(9853198532tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98533 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.683780e-02, tolerance: 6.864e-0398534 model = cd_fast.enet_coordinate_descent_gram(9853598536tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98537 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.665345e-02, tolerance: 6.864e-0398538 model = cd_fast.enet_coordinate_descent_gram(9853998540tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98541 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.648061e-02, tolerance: 6.864e-0398542 model = cd_fast.enet_coordinate_descent_gram(9854398544tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98545 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.631864e-02, tolerance: 6.864e-0398546 model = cd_fast.enet_coordinate_descent_gram(9854798548tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98549 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.616689e-02, tolerance: 6.864e-0398550 model = cd_fast.enet_coordinate_descent_gram(9855198552tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98553 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.602477e-02, tolerance: 6.864e-0398554 model = cd_fast.enet_coordinate_descent_gram(9855598556tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98557 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.589171e-02, tolerance: 6.864e-0398558 model = cd_fast.enet_coordinate_descent_gram(9855998560tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98561 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576716e-02, tolerance: 6.864e-0398562 model = cd_fast.enet_coordinate_descent_gram(9856398564tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98565 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.565061e-02, tolerance: 6.864e-0398566 model = cd_fast.enet_coordinate_descent_gram(9856798568tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98569 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.554158e-02, tolerance: 6.864e-0398570 model = cd_fast.enet_coordinate_descent_gram(9857198572tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98573 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.543960e-02, tolerance: 6.864e-0398574 model = cd_fast.enet_coordinate_descent_gram(9857598576tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98577 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.534423e-02, tolerance: 6.864e-0398578 model = cd_fast.enet_coordinate_descent_gram(9857998580tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98581 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.525506e-02, tolerance: 6.864e-0398582 model = cd_fast.enet_coordinate_descent_gram(9858398584tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98585 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.517171e-02, tolerance: 6.864e-0398586 model = cd_fast.enet_coordinate_descent_gram(9858798588tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98589 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.509380e-02, tolerance: 6.864e-0398590 model = cd_fast.enet_coordinate_descent_gram(9859198592tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98593 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.502100e-02, tolerance: 6.864e-0398594 model = cd_fast.enet_coordinate_descent_gram(9859598596tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98597 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.495298e-02, tolerance: 6.864e-0398598 model = cd_fast.enet_coordinate_descent_gram(9859998600tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98601 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.488942e-02, tolerance: 6.864e-0398602 model = cd_fast.enet_coordinate_descent_gram(9860398604tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98605 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.483006e-02, tolerance: 6.864e-0398606 model = cd_fast.enet_coordinate_descent_gram(9860798608tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98609 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.477460e-02, tolerance: 6.864e-0398610 model = cd_fast.enet_coordinate_descent_gram(9861198612tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98613 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.472282e-02, tolerance: 6.864e-0398614 model = cd_fast.enet_coordinate_descent_gram(9861598616tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98617 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.467446e-02, tolerance: 6.864e-0398618 model = cd_fast.enet_coordinate_descent_gram(9861998620tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98621 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.462930e-02, tolerance: 6.864e-0398622 model = cd_fast.enet_coordinate_descent_gram(9862398624tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98625 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.458713e-02, tolerance: 6.864e-0398626 model = cd_fast.enet_coordinate_descent_gram(9862798628tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98629 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.454777e-02, tolerance: 6.864e-0398630 model = cd_fast.enet_coordinate_descent_gram(9863198632tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98633 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.451102e-02, tolerance: 6.864e-0398634 model = cd_fast.enet_coordinate_descent_gram(9863598636tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98637 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.447672e-02, tolerance: 6.864e-0398638 model = cd_fast.enet_coordinate_descent_gram(9863998640tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98641 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.444470e-02, tolerance: 6.864e-0398642 model = cd_fast.enet_coordinate_descent_gram(9864398644tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98645 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.441482e-02, tolerance: 6.864e-0398646 model = cd_fast.enet_coordinate_descent_gram(9864798648tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98649 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.438693e-02, tolerance: 6.864e-0398650 model = cd_fast.enet_coordinate_descent_gram(9865198652tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98653 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.436090e-02, tolerance: 6.864e-0398654 model = cd_fast.enet_coordinate_descent_gram(9865598656tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98657 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.433661e-02, tolerance: 6.864e-0398658 model = cd_fast.enet_coordinate_descent_gram(9865998660tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98661 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.431394e-02, tolerance: 6.864e-0398662 model = cd_fast.enet_coordinate_descent_gram(9866398664tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98665 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.429279e-02, tolerance: 6.864e-0398666 model = cd_fast.enet_coordinate_descent_gram(9866798668tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98669 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.427305e-02, tolerance: 6.864e-0398670 model = cd_fast.enet_coordinate_descent_gram(9867198672tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98673 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.425463e-02, tolerance: 6.864e-0398674 model = cd_fast.enet_coordinate_descent_gram(9867598676tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98677 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.423745e-02, tolerance: 6.864e-0398678 model = cd_fast.enet_coordinate_descent_gram(9867998680tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98681 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.422142e-02, tolerance: 6.864e-0398682 model = cd_fast.enet_coordinate_descent_gram(9868398684tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98685 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.420646e-02, tolerance: 6.864e-0398686 model = cd_fast.enet_coordinate_descent_gram(9868798688tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98689 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.419251e-02, tolerance: 6.864e-0398690 model = cd_fast.enet_coordinate_descent_gram(9869198692tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98693 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.417949e-02, tolerance: 6.864e-0398694 model = cd_fast.enet_coordinate_descent_gram(9869598696tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98697 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.416734e-02, tolerance: 6.864e-0398698 model = cd_fast.enet_coordinate_descent_gram(9869998700tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98701 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.415601e-02, tolerance: 6.864e-0398702 model = cd_fast.enet_coordinate_descent_gram(9870398704tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98705 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.414544e-02, tolerance: 6.864e-0398706 model = cd_fast.enet_coordinate_descent_gram(9870798708tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98709 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.360040e-02, tolerance: 6.864e-0398710 model = cd_fast.enet_coordinate_descent_multi_task(9871198712tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98713 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.665116e-02, tolerance: 6.864e-0398714 model = cd_fast.enet_coordinate_descent_multi_task(9871598716tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98717 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.033257e-02, tolerance: 6.864e-0398718 model = cd_fast.enet_coordinate_descent_multi_task(9871998720tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98721 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.233829e-02, tolerance: 6.864e-0398722 model = cd_fast.enet_coordinate_descent_multi_task(9872398724tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98725 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.399714e-02, tolerance: 6.864e-0398726 model = cd_fast.enet_coordinate_descent_multi_task(9872798728tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98729 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.539150e-02, tolerance: 6.864e-0398730 model = cd_fast.enet_coordinate_descent_multi_task(9873198732tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98733 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.655165e-02, tolerance: 6.864e-0398734 model = cd_fast.enet_coordinate_descent_multi_task(9873598736tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98737 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.750426e-02, tolerance: 6.864e-0398738 model = cd_fast.enet_coordinate_descent_multi_task(9873998740tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98741 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.827386e-02, tolerance: 6.864e-0398742 model = cd_fast.enet_coordinate_descent_multi_task(9874398744tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98745 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.888296e-02, tolerance: 6.864e-0398746 model = cd_fast.enet_coordinate_descent_multi_task(9874798748tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98749 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.935201e-02, tolerance: 6.864e-0398750 model = cd_fast.enet_coordinate_descent_multi_task(9875198752tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98753 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.969958e-02, tolerance: 6.864e-0398754 model = cd_fast.enet_coordinate_descent_multi_task(9875598756tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98757 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.994239e-02, tolerance: 6.864e-0398758 model = cd_fast.enet_coordinate_descent_multi_task(9875998760tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98761 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.009542e-02, tolerance: 6.864e-0398762 model = cd_fast.enet_coordinate_descent_multi_task(9876398764tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98765 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.017208e-02, tolerance: 6.864e-0398766 model = cd_fast.enet_coordinate_descent_multi_task(9876798768tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98769 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.018426e-02, tolerance: 6.864e-0398770 model = cd_fast.enet_coordinate_descent_multi_task(9877198772tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98773 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.014249e-02, tolerance: 6.864e-0398774 model = cd_fast.enet_coordinate_descent_multi_task(9877598776tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98777 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.005604e-02, tolerance: 6.864e-0398778 model = cd_fast.enet_coordinate_descent_multi_task(9877998780tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98781 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.993305e-02, tolerance: 6.864e-0398782 model = cd_fast.enet_coordinate_descent_multi_task(9878398784tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98785 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.978062e-02, tolerance: 6.864e-0398786 model = cd_fast.enet_coordinate_descent_multi_task(9878798788tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98789 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.960491e-02, tolerance: 6.864e-0398790 model = cd_fast.enet_coordinate_descent_multi_task(9879198792tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98793 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.941127e-02, tolerance: 6.864e-0398794 model = cd_fast.enet_coordinate_descent_multi_task(9879598796tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98797 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.920428e-02, tolerance: 6.864e-0398798 model = cd_fast.enet_coordinate_descent_multi_task(9879998800tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98801 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.898788e-02, tolerance: 6.864e-0398802 model = cd_fast.enet_coordinate_descent_multi_task(9880398804tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98805 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.876539e-02, tolerance: 6.864e-0398806 model = cd_fast.enet_coordinate_descent_multi_task(9880798808tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98809 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.853966e-02, tolerance: 6.864e-0398810 model = cd_fast.enet_coordinate_descent_multi_task(9881198812tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98813 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.831304e-02, tolerance: 6.864e-0398814 model = cd_fast.enet_coordinate_descent_multi_task(9881598816tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98817 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.808750e-02, tolerance: 6.864e-0398818 model = cd_fast.enet_coordinate_descent_multi_task(9881998820tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98821 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.786467e-02, tolerance: 6.864e-0398822 model = cd_fast.enet_coordinate_descent_multi_task(9882398824tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98825 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.764586e-02, tolerance: 6.864e-0398826 model = cd_fast.enet_coordinate_descent_multi_task(9882798828tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98829 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.743214e-02, tolerance: 6.864e-0398830 model = cd_fast.enet_coordinate_descent_multi_task(9883198832tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98833 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.722433e-02, tolerance: 6.864e-0398834 model = cd_fast.enet_coordinate_descent_multi_task(9883598836tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98837 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.702307e-02, tolerance: 6.864e-0398838 model = cd_fast.enet_coordinate_descent_multi_task(9883998840tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98841 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.682884e-02, tolerance: 6.864e-0398842 model = cd_fast.enet_coordinate_descent_multi_task(9884398844tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98845 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.664196e-02, tolerance: 6.864e-0398846 model = cd_fast.enet_coordinate_descent_multi_task(9884798848tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98849 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.646266e-02, tolerance: 6.864e-0398850 model = cd_fast.enet_coordinate_descent_multi_task(9885198852tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98853 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.629104e-02, tolerance: 6.864e-0398854 model = cd_fast.enet_coordinate_descent_multi_task(9885598856tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98857 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.612713e-02, tolerance: 6.864e-0398858 model = cd_fast.enet_coordinate_descent_multi_task(9885998860tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98861 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.597090e-02, tolerance: 6.864e-0398862 model = cd_fast.enet_coordinate_descent_multi_task(9886398864tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98865 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.582225e-02, tolerance: 6.864e-0398866 model = cd_fast.enet_coordinate_descent_multi_task(9886798868tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98869 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.568104e-02, tolerance: 6.864e-0398870 model = cd_fast.enet_coordinate_descent_multi_task(9887198872tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98873 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.554709e-02, tolerance: 6.864e-0398874 model = cd_fast.enet_coordinate_descent_multi_task(9887598876tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98877 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.542021e-02, tolerance: 6.864e-0398878 model = cd_fast.enet_coordinate_descent_multi_task(9887998880tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98881 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.530015e-02, tolerance: 6.864e-0398882 model = cd_fast.enet_coordinate_descent_multi_task(9888398884tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98885 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.518668e-02, tolerance: 6.864e-0398886 model = cd_fast.enet_coordinate_descent_multi_task(9888798888tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98889 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.507955e-02, tolerance: 6.864e-0398890 model = cd_fast.enet_coordinate_descent_multi_task(9889198892tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98893 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.497850e-02, tolerance: 6.864e-0398894 model = cd_fast.enet_coordinate_descent_multi_task(9889598896tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98897 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.488326e-02, tolerance: 6.864e-0398898 model = cd_fast.enet_coordinate_descent_multi_task(9889998900tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98901 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.479356e-02, tolerance: 6.864e-0398902 model = cd_fast.enet_coordinate_descent_multi_task(9890398904tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98905 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.470915e-02, tolerance: 6.864e-0398906 model = cd_fast.enet_coordinate_descent_multi_task(9890798908tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98909 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.462977e-02, tolerance: 6.864e-0398910 model = cd_fast.enet_coordinate_descent_multi_task(9891198912tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98913 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.455516e-02, tolerance: 6.864e-0398914 model = cd_fast.enet_coordinate_descent_multi_task(9891598916tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98917 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.448507e-02, tolerance: 6.864e-0398918 model = cd_fast.enet_coordinate_descent_multi_task(9891998920tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98921 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.441927e-02, tolerance: 6.864e-0398922 model = cd_fast.enet_coordinate_descent_multi_task(9892398924tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98925 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.435752e-02, tolerance: 6.864e-0398926 model = cd_fast.enet_coordinate_descent_multi_task(9892798928tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98929 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.429960e-02, tolerance: 6.864e-0398930 model = cd_fast.enet_coordinate_descent_multi_task(9893198932tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98933 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.424530e-02, tolerance: 6.864e-0398934 model = cd_fast.enet_coordinate_descent_multi_task(9893598936tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98937 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.419440e-02, tolerance: 6.864e-0398938 model = cd_fast.enet_coordinate_descent_multi_task(9893998940tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98941 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.414671e-02, tolerance: 6.864e-0398942 model = cd_fast.enet_coordinate_descent_multi_task(9894398944tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98945 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.410204e-02, tolerance: 6.864e-0398946 model = cd_fast.enet_coordinate_descent_multi_task(9894798948tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98949 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.406021e-02, tolerance: 6.864e-0398950 model = cd_fast.enet_coordinate_descent_multi_task(9895198952tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98953 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.402106e-02, tolerance: 6.864e-0398954 model = cd_fast.enet_coordinate_descent_multi_task(9895598956tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98957 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.398442e-02, tolerance: 6.864e-0398958 model = cd_fast.enet_coordinate_descent_multi_task(9895998960tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98961 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.395014e-02, tolerance: 6.864e-0398962 model = cd_fast.enet_coordinate_descent_multi_task(9896398964tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98965 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.391808e-02, tolerance: 6.864e-0398966 model = cd_fast.enet_coordinate_descent_multi_task(9896798968tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98969 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.388809e-02, tolerance: 6.864e-0398970 model = cd_fast.enet_coordinate_descent_multi_task(9897198972tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98973 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.386005e-02, tolerance: 6.864e-0398974 model = cd_fast.enet_coordinate_descent_multi_task(9897598976tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98977 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.383384e-02, tolerance: 6.864e-0398978 model = cd_fast.enet_coordinate_descent_multi_task(9897998980tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98981 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.380933e-02, tolerance: 6.864e-0398982 model = cd_fast.enet_coordinate_descent_multi_task(9898398984tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98985 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.378644e-02, tolerance: 6.864e-0398986 model = cd_fast.enet_coordinate_descent_multi_task(9898798988tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98989 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.376504e-02, tolerance: 6.864e-0398990 model = cd_fast.enet_coordinate_descent_multi_task(9899198992tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98993 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.374505e-02, tolerance: 6.864e-0398994 model = cd_fast.enet_coordinate_descent_multi_task(9899598996tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98997 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.372637e-02, tolerance: 6.864e-0398998 model = cd_fast.enet_coordinate_descent_multi_task(9899999000tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99001 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.370893e-02, tolerance: 6.864e-0399002 model = cd_fast.enet_coordinate_descent_multi_task(9900399004tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99005 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.369263e-02, tolerance: 6.864e-0399006 model = cd_fast.enet_coordinate_descent_multi_task(9900799008tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99009 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.367742e-02, tolerance: 6.864e-0399010 model = cd_fast.enet_coordinate_descent_multi_task(9901199012tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99013 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.366321e-02, tolerance: 6.864e-0399014 model = cd_fast.enet_coordinate_descent_multi_task(9901599016tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99017 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.364994e-02, tolerance: 6.864e-0399018 model = cd_fast.enet_coordinate_descent_multi_task(9901999020tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99021 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.363756e-02, tolerance: 6.864e-0399022 model = cd_fast.enet_coordinate_descent_multi_task(9902399024tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99025 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.362600e-02, tolerance: 6.864e-0399026 model = cd_fast.enet_coordinate_descent_multi_task(9902799028tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99029 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.361520e-02, tolerance: 6.864e-0399030 model = cd_fast.enet_coordinate_descent_multi_task(9903199032tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99033 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.360513e-02, tolerance: 6.864e-0399034 model = cd_fast.enet_coordinate_descent_multi_task(9903599036tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99037 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.359572e-02, tolerance: 6.864e-0399038 model = cd_fast.enet_coordinate_descent_multi_task(9903999040tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99041 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.358694e-02, tolerance: 6.864e-0399042 model = cd_fast.enet_coordinate_descent_multi_task(9904399044tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99045 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.357875e-02, tolerance: 6.864e-0399046 model = cd_fast.enet_coordinate_descent_multi_task(9904799048tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99049 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.357111e-02, tolerance: 6.864e-0399050 model = cd_fast.enet_coordinate_descent_multi_task(9905199052tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99053 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.356397e-02, tolerance: 6.864e-0399054 model = cd_fast.enet_coordinate_descent_multi_task(9905599056tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99057 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.242200e-02, tolerance: 6.864e-0399058 model = cd_fast.enet_coordinate_descent_multi_task(9905999060tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99061 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.823631e-02, tolerance: 6.864e-0399062 model = cd_fast.enet_coordinate_descent_multi_task(9906399064tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99065 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.152386e-02, tolerance: 6.864e-0399066 model = cd_fast.enet_coordinate_descent_multi_task(9906799068tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99069 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.256397e-02, tolerance: 6.864e-0399070 model = cd_fast.enet_coordinate_descent_multi_task(9907199072tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99073 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.317107e-02, tolerance: 6.864e-0399074 model = cd_fast.enet_coordinate_descent_multi_task(9907599076tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99077 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.349221e-02, tolerance: 6.864e-0399078 model = cd_fast.enet_coordinate_descent_multi_task(9907999080tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99081 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.358147e-02, tolerance: 6.864e-0399082 model = cd_fast.enet_coordinate_descent_multi_task(9908399084tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99085 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.348197e-02, tolerance: 6.864e-0399086 model = cd_fast.enet_coordinate_descent_multi_task(9908799088tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99089 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.323023e-02, tolerance: 6.864e-0399090 model = cd_fast.enet_coordinate_descent_multi_task(9909199092tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99093 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.285721e-02, tolerance: 6.864e-0399094 model = cd_fast.enet_coordinate_descent_multi_task(9909599096tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99097 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.238910e-02, tolerance: 6.864e-0399098 model = cd_fast.enet_coordinate_descent_multi_task(9909999100tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99101 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.184796e-02, tolerance: 6.864e-0399102 model = cd_fast.enet_coordinate_descent_multi_task(9910399104tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99105 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.125233e-02, tolerance: 6.864e-0399106 model = cd_fast.enet_coordinate_descent_multi_task(9910799108tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99109 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.061775e-02, tolerance: 6.864e-0399110 model = cd_fast.enet_coordinate_descent_multi_task(9911199112tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99113 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.995713e-02, tolerance: 6.864e-0399114 model = cd_fast.enet_coordinate_descent_multi_task(9911599116tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99117 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.928119e-02, tolerance: 6.864e-0399118 model = cd_fast.enet_coordinate_descent_multi_task(9911999120tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99121 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.859876e-02, tolerance: 6.864e-0399122 model = cd_fast.enet_coordinate_descent_multi_task(9912399124tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99125 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.791705e-02, tolerance: 6.864e-0399126 model = cd_fast.enet_coordinate_descent_multi_task(9912799128tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99129 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.724192e-02, tolerance: 6.864e-0399130 model = cd_fast.enet_coordinate_descent_multi_task(9913199132tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99133 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.657805e-02, tolerance: 6.864e-0399134 model = cd_fast.enet_coordinate_descent_multi_task(9913599136tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99137 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.592913e-02, tolerance: 6.864e-0399138 model = cd_fast.enet_coordinate_descent_multi_task(9913999140tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99141 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.529805e-02, tolerance: 6.864e-0399142 model = cd_fast.enet_coordinate_descent_multi_task(9914399144tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99145 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.468697e-02, tolerance: 6.864e-0399146 model = cd_fast.enet_coordinate_descent_multi_task(9914799148tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99149 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.409747e-02, tolerance: 6.864e-0399150 model = cd_fast.enet_coordinate_descent_multi_task(9915199152tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99153 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.353067e-02, tolerance: 6.864e-0399154 model = cd_fast.enet_coordinate_descent_multi_task(9915599156tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99157 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.298724e-02, tolerance: 6.864e-0399158 model = cd_fast.enet_coordinate_descent_multi_task(9915999160tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99161 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.246755e-02, tolerance: 6.864e-0399162 model = cd_fast.enet_coordinate_descent_multi_task(9916399164tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99165 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.197166e-02, tolerance: 6.864e-0399166 model = cd_fast.enet_coordinate_descent_multi_task(9916799168tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99169 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.149945e-02, tolerance: 6.864e-0399170 model = cd_fast.enet_coordinate_descent_multi_task(9917199172tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99173 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.105058e-02, tolerance: 6.864e-0399174 model = cd_fast.enet_coordinate_descent_multi_task(9917599176tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99177 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.062458e-02, tolerance: 6.864e-0399178 model = cd_fast.enet_coordinate_descent_multi_task(9917999180tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99181 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.022088e-02, tolerance: 6.864e-0399182 model = cd_fast.enet_coordinate_descent_multi_task(9918399184tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99185 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.983881e-02, tolerance: 6.864e-0399186 model = cd_fast.enet_coordinate_descent_multi_task(9918799188tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99189 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.947763e-02, tolerance: 6.864e-0399190 model = cd_fast.enet_coordinate_descent_multi_task(9919199192tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99193 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.913657e-02, tolerance: 6.864e-0399194 model = cd_fast.enet_coordinate_descent_multi_task(9919599196tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99197 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.881483e-02, tolerance: 6.864e-0399198 model = cd_fast.enet_coordinate_descent_multi_task(9919999200tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99201 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.851157e-02, tolerance: 6.864e-0399202 model = cd_fast.enet_coordinate_descent_multi_task(9920399204tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99205 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.822598e-02, tolerance: 6.864e-0399206 model = cd_fast.enet_coordinate_descent_multi_task(9920799208tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99209 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.795722e-02, tolerance: 6.864e-0399210 model = cd_fast.enet_coordinate_descent_multi_task(9921199212tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99213 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.770447e-02, tolerance: 6.864e-0399214 model = cd_fast.enet_coordinate_descent_multi_task(9921599216tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99217 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.746693e-02, tolerance: 6.864e-0399218 model = cd_fast.enet_coordinate_descent_multi_task(9921999220tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99221 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.724381e-02, tolerance: 6.864e-0399222 model = cd_fast.enet_coordinate_descent_multi_task(9922399224tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99225 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.703435e-02, tolerance: 6.864e-0399226 model = cd_fast.enet_coordinate_descent_multi_task(9922799228tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99229 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.683780e-02, tolerance: 6.864e-0399230 model = cd_fast.enet_coordinate_descent_multi_task(9923199232tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99233 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.665345e-02, tolerance: 6.864e-0399234 model = cd_fast.enet_coordinate_descent_multi_task(9923599236tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99237 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.648061e-02, tolerance: 6.864e-0399238 model = cd_fast.enet_coordinate_descent_multi_task(9923999240tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99241 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.631864e-02, tolerance: 6.864e-0399242 model = cd_fast.enet_coordinate_descent_multi_task(9924399244tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99245 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.616689e-02, tolerance: 6.864e-0399246 model = cd_fast.enet_coordinate_descent_multi_task(9924799248tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99249 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.602477e-02, tolerance: 6.864e-0399250 model = cd_fast.enet_coordinate_descent_multi_task(9925199252tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99253 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.589171e-02, tolerance: 6.864e-0399254 model = cd_fast.enet_coordinate_descent_multi_task(9925599256tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99257 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576716e-02, tolerance: 6.864e-0399258 model = cd_fast.enet_coordinate_descent_multi_task(9925999260tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99261 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.565061e-02, tolerance: 6.864e-0399262 model = cd_fast.enet_coordinate_descent_multi_task(9926399264tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99265 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.554158e-02, tolerance: 6.864e-0399266 model = cd_fast.enet_coordinate_descent_multi_task(9926799268tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99269 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.543960e-02, tolerance: 6.864e-0399270 model = cd_fast.enet_coordinate_descent_multi_task(9927199272tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99273 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.534423e-02, tolerance: 6.864e-0399274 model = cd_fast.enet_coordinate_descent_multi_task(9927599276tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99277 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.525506e-02, tolerance: 6.864e-0399278 model = cd_fast.enet_coordinate_descent_multi_task(9927999280tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99281 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.517171e-02, tolerance: 6.864e-0399282 model = cd_fast.enet_coordinate_descent_multi_task(9928399284tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99285 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.509380e-02, tolerance: 6.864e-0399286 model = cd_fast.enet_coordinate_descent_multi_task(9928799288tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99289 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.502100e-02, tolerance: 6.864e-0399290 model = cd_fast.enet_coordinate_descent_multi_task(9929199292tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99293 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.495298e-02, tolerance: 6.864e-0399294 model = cd_fast.enet_coordinate_descent_multi_task(9929599296tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99297 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.488942e-02, tolerance: 6.864e-0399298 model = cd_fast.enet_coordinate_descent_multi_task(9929999300tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99301 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.483006e-02, tolerance: 6.864e-0399302 model = cd_fast.enet_coordinate_descent_multi_task(9930399304tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99305 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.477460e-02, tolerance: 6.864e-0399306 model = cd_fast.enet_coordinate_descent_multi_task(9930799308tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99309 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.472282e-02, tolerance: 6.864e-0399310 model = cd_fast.enet_coordinate_descent_multi_task(9931199312tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99313 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.467446e-02, tolerance: 6.864e-0399314 model = cd_fast.enet_coordinate_descent_multi_task(9931599316tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99317 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.462930e-02, tolerance: 6.864e-0399318 model = cd_fast.enet_coordinate_descent_multi_task(9931999320tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99321 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.458713e-02, tolerance: 6.864e-0399322 model = cd_fast.enet_coordinate_descent_multi_task(9932399324tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99325 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.454777e-02, tolerance: 6.864e-0399326 model = cd_fast.enet_coordinate_descent_multi_task(9932799328tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99329 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.451102e-02, tolerance: 6.864e-0399330 model = cd_fast.enet_coordinate_descent_multi_task(9933199332tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99333 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.447672e-02, tolerance: 6.864e-0399334 model = cd_fast.enet_coordinate_descent_multi_task(9933599336tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99337 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.444470e-02, tolerance: 6.864e-0399338 model = cd_fast.enet_coordinate_descent_multi_task(9933999340tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99341 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.441482e-02, tolerance: 6.864e-0399342 model = cd_fast.enet_coordinate_descent_multi_task(9934399344tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99345 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.438693e-02, tolerance: 6.864e-0399346 model = cd_fast.enet_coordinate_descent_multi_task(9934799348tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99349 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.436090e-02, tolerance: 6.864e-0399350 model = cd_fast.enet_coordinate_descent_multi_task(9935199352tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99353 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.433661e-02, tolerance: 6.864e-0399354 model = cd_fast.enet_coordinate_descent_multi_task(9935599356tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99357 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.431394e-02, tolerance: 6.864e-0399358 model = cd_fast.enet_coordinate_descent_multi_task(9935999360tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99361 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.429279e-02, tolerance: 6.864e-0399362 model = cd_fast.enet_coordinate_descent_multi_task(9936399364tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99365 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.427305e-02, tolerance: 6.864e-0399366 model = cd_fast.enet_coordinate_descent_multi_task(9936799368tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99369 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.425463e-02, tolerance: 6.864e-0399370 model = cd_fast.enet_coordinate_descent_multi_task(9937199372tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99373 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.423745e-02, tolerance: 6.864e-0399374 model = cd_fast.enet_coordinate_descent_multi_task(9937599376tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99377 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.422142e-02, tolerance: 6.864e-0399378 model = cd_fast.enet_coordinate_descent_multi_task(9937999380tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99381 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.420646e-02, tolerance: 6.864e-0399382 model = cd_fast.enet_coordinate_descent_multi_task(9938399384tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99385 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.419251e-02, tolerance: 6.864e-0399386 model = cd_fast.enet_coordinate_descent_multi_task(9938799388tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99389 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.417949e-02, tolerance: 6.864e-0399390 model = cd_fast.enet_coordinate_descent_multi_task(9939199392tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99393 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.416734e-02, tolerance: 6.864e-0399394 model = cd_fast.enet_coordinate_descent_multi_task(9939599396tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99397 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.415601e-02, tolerance: 6.864e-0399398 model = cd_fast.enet_coordinate_descent_multi_task(9939999400tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99401 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.414544e-02, tolerance: 6.864e-0399402 model = cd_fast.enet_coordinate_descent_multi_task(9940399404tests/test_common.py::test_check_inplace_ensure_writeable[AffinityPropagation(max_iter=5)]99405 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_affinity_propagation.py:140: ConvergenceWarning: Affinity propagation did not converge, this model may return degenerate cluster centers and labels.99406 warnings.warn(9940799408tests/test_metaestimators.py::test_meta_estimators_delegate_data_validation[HalvingRandomSearchCV0]99409tests/test_metaestimators.py::test_meta_estimators_delegate_data_validation[HalvingRandomSearchCV2]99410 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:326: UserWarning: The total space of parameters 2 is smaller than n_iter=3. Running 2 iterations. For exhaustive searches, use GridSearchCV.99411 warnings.warn(9941299413tests/test_naive_bayes.py::test_alpha_vector99414tests/test_naive_bayes.py::test_alpha_vector99415 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/naive_bayes.py:655: UserWarning: alpha too small will result in numeric errors, setting alpha = 1.0e-10. Use `force_alpha=True` to keep alpha unchanged.99416 warnings.warn(9941799418tests/test_metaestimators.py: 1 warning99419tests/test_metaestimators_metadata_routing.py: 30 warnings99420 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/semi_supervised/_self_training.py:244: UserWarning: y contains no unlabeled samples99421 warnings.warn("y contains no unlabeled samples", UserWarning)9942299423model_selection/tests/test_split.py: 14 warnings99424 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4.99425 warnings.warn(9942699427model_selection/tests/test_split.py: 14 warnings99428 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6.99429 warnings.warn(9943099431model_selection/tests/test_split.py: 14 warnings99432 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7.99433 warnings.warn(9943499435model_selection/tests/test_split.py: 14 warnings99436 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_split.py:1036: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4.99437 warnings.warn(9943899439model_selection/tests/test_split.py: 14 warnings99440 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_split.py:1036: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6.99441 warnings.warn(9944299443tests/test_multiclass.py::test_constant_int_target[ones]99444 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/multiclass.py:90: UserWarning: Label not 1 is present in all training examples.99445 warnings.warn(9944699447tests/test_multiclass.py::test_constant_int_target[zeros]99448 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/multiclass.py:90: UserWarning: Label not 0 is present in all training examples.99449 warnings.warn(9945099451model_selection/tests/test_split.py: 14 warnings99452 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_split.py:1036: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7.99453 warnings.warn(9945499455tests/test_common.py::test_transformers_get_feature_names_out[QuantileTransformer()]99456 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/preprocessing/_data.py:2905: UserWarning: n_quantiles (1000) is greater than the total number of samples (30). n_quantiles is set to n_samples.99457 warnings.warn(9945899459ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor]99460ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor]99461 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/base.py:1403: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().99462 return fit_method(estimator, *args, **kwargs)9946399464tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]99465tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]99466tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]99467 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/tests/test_tree.py:1873: RuntimeWarning: overflow encountered in cast99468 data = xpx.nan_to_num(data.astype("float32"))9946999470tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]99471 /nix/store/dnjqmz5h66lnidpnay1dd6ch0xk3b6x7-python3.14-numpy-2.5.3/lib/python3.14/site-packages/numpy/_core/_methods.py:49: RuntimeWarning: overflow encountered in reduce99472 return umr_sum(a, axis, dtype, out, keepdims, initial, where)9947399474tree/tests/test_tree.py::test_multioutput[DecisionTreeClassifier-gini]99475tree/tests/test_tree.py::test_multioutput[DecisionTreeClassifier-log_loss]99476tree/tests/test_tree.py::test_multioutput[ExtraTreeClassifier-gini]99477tree/tests/test_tree.py::test_multioutput[ExtraTreeClassifier-log_loss]99478 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_classes.py:1087: RuntimeWarning: divide by zero encountered in log99479 proba[k] = np.log(proba[k])9948099481tree/tests/test_tree.py::test_big_input99482 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_array_api.py:976: RuntimeWarning: overflow encountered in cast99483 array = numpy.asarray(array, order=order, dtype=dtype)9948499485tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]99486tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]99487tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_splitter[HalvingRandomSearchCV]99488tests/test_metaestimators_metadata_routing.py::test_non_consuming_estimator_works[HalvingRandomSearchCV]99489tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]99490tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]99491 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:326: UserWarning: The total space of parameters 2 is smaller than n_iter=8. Running 2 iterations. For exhaustive searches, use GridSearchCV.99492 warnings.warn(9949399494ensemble/tests/test_forest.py::test_round_samples_to_one_when_samples_too_low[balanced_subsample]99495ensemble/tests/test_forest.py::test_round_samples_to_one_when_samples_too_low[None]99496 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_bootstrap.py:64: UserWarning: Using the fractional value max_samples=0.0001 when the number of samples is 178 results in a low number (1) of bootstrap samples. We recommend passing `max_samples` as an integer instead.99497 warn(9949899499model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99500model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99501model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99502model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99503model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99504 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py:1381: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds99505 warnings.warn(9950699507neighbors/tests/test_neighbors.py: 11 warnings99508 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_unsupervised.py:179: SyntaxWarning: Parameter p is found in metric_params. The corresponding parameter from __init__ is ignored.99509 return self._fit(X)9951099511neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_matrix-yule]99512neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_array-yule]99513neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule]99514neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule]99515 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/pairwise.py:2474: DataConversionWarning: Data was converted to boolean for metric yule99516 warnings.warn(msg, DataConversionWarning)9951799518model_selection/tests/test_validation.py::test_fit_and_score_working99519 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py:956: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 99520 Traceback (most recent call last):99521 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99522 scores = scorer(estimator, X_test, y_test, **score_params)99523 TypeError: 'dict' object is not callable99524 99525 warnings.warn(9952699527neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba99528neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba99529 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_classification.py:868: UserWarning: Outlier label -1 is not in training classes. All class probabilities of outliers will be assigned with 0.99530 warnings.warn(9953199532utils/tests/test_estimator_checks.py::test_check_estimator_not_fail_fast99533 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/estimator_checks.py:918: SkipTestWarning: Skipping check check_array_api_input for BaseEstimator because it raised SkipTest: SCIPY_ARRAY_API is not set: not checking array_api input99534 warnings.warn(9953599536utils/tests/test_estimator_checks.py::test_check_estimator_transformer_no_mixin99537 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/estimator_checks.py:918: SkipTestWarning: Skipping check check_array_api_input for BadTransformerWithoutMixin because it raised SkipTest: SCIPY_ARRAY_API is not set: not checking array_api input99538 warnings.warn(9953999540utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests99541 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalTransformer does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.99542 warnings.warn(9954399544utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests99545 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MyEstimator does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.99546 warnings.warn(9954799548utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests99549 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalRegressor does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.99550 warnings.warn(9955199552utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests99553utils/tests/test_estimator_checks.py::test_yield_all_checks_legacy99554 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalClassifier does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.99555 warnings.warn(9955699557utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99558 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/estimator_checks.py:918: SkipTestWarning: Skipping check check_sample_weights_pandas_series for SVC because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.99559 warnings.warn(9956099561utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99562 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/estimator_checks.py:918: SkipTestWarning: Skipping check check_array_api_input for SVC because it raised SkipTest: SCIPY_ARRAY_API is not set: not checking array_api input99563 warnings.warn(9956499565utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99566 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/estimator_checks.py:918: SkipTestWarning: Skipping check check_classifier_data_not_an_array for SVC because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.99567 warnings.warn(9956899569utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99570 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/estimator_checks.py:918: SkipTestWarning: Skipping check check_array_api_input for KNeighborsRegressor because it raised SkipTest: SCIPY_ARRAY_API is not set: not checking array_api input99571 warnings.warn(9957299573utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99574 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/estimator_checks.py:918: SkipTestWarning: Skipping check check_regressor_data_not_an_array for KNeighborsRegressor because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.99575 warnings.warn(9957699577neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice]99578neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice]99579 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/pairwise.py:2474: DataConversionWarning: Data was converted to boolean for metric dice99580 warnings.warn(msg, DataConversionWarning)9958199582utils/tests/test_extmath.py::test_randomized_svd_sparse_warnings[dok_matrix]99583utils/tests/test_extmath.py::test_randomized_svd_sparse_warnings[dok_array]99584 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py:994: UserWarning: Can't check dok sparse matrix for nan or inf.99585 array = _ensure_sparse_format(9958699587neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard]99588neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard]99589 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/pairwise.py:2474: DataConversionWarning: Data was converted to boolean for metric jaccard99590 warnings.warn(msg, DataConversionWarning)9959199592utils/tests/test_validation.py: 16 warnings99593 /nix/store/9zjqlm36h6sdspdb3hhqs8h4p14b6wmr-python3.14-scipy-1.18.1/lib/python3.14/site-packages/scipy/sparse/_index.py:174: SparseEfficiencyWarning: Changing the sparsity structure of a csr_array is expensive. lil and dok are more efficient.99594 self._set_intXint(row, col, x.flat[0])9959599596neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto]99597neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto]99598 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/pairwise.py:2474: DataConversionWarning: Data was converted to boolean for metric rogerstanimoto99599 warnings.warn(msg, DataConversionWarning)9960099601neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao]99602neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao]99603 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/pairwise.py:2474: DataConversionWarning: Data was converted to boolean for metric russellrao99604 warnings.warn(msg, DataConversionWarning)9960599606neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath]99607neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath]99608 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/pairwise.py:2474: DataConversionWarning: Data was converted to boolean for metric sokalsneath99609 warnings.warn(msg, DataConversionWarning)9961099611tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV]99612tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV]99613 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_search.py:326: UserWarning: The total space of parameters 2 is smaller than n_iter=4. Running 2 iterations. For exhaustive searches, use GridSearchCV.99614 warnings.warn(9961599616neighbors/tests/test_neighbors.py::test_nearest_neighbours_works_with_p_less_than_199617 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_base.py:661: UserWarning: Mind that for 0 < p < 1, Minkowski metrics are not distance metrics. Continuing the execution with `algorithm='brute'`.99618 warnings.warn(9961999620neighbors/tests/test_neighbors_pipeline.py::test_spectral_clustering99621neighbors/tests/test_neighbors_pipeline.py::test_spectral_embedding99622 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/manifold/_spectral_embedding.py:305: UserWarning: Array is not symmetric, and will be converted to symmetric by average with its transpose.99623 adjacency = check_symmetric(adjacency)9962499625tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV]99626tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV]99627 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py:956: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 99628 Traceback (most recent call last):99629 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99630 scores = scorer(estimator, X_test, y_test, **score_params)99631 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 80, in inner_f99632 return f(*args, **kwargs)99633 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 322, in __call__99634 return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)99635 ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^99636 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 454, in _score99637 response_method = _check_response_method(estimator, self._response_method)99638 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 2286, in _check_response_method99639 raise AttributeError(99640 ...<2 lines>...99641 )99642 AttributeError: GraphicalLassoCV has none of the following attributes: predict.99643 99644 warnings.warn(9964599646tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[SequentialFeatureSelector]99647tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[SequentialFeatureSelector]99648 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py:956: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 99649 Traceback (most recent call last):99650 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99651 scores = scorer(estimator, X_test, y_test, **score_params)99652 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 80, in inner_f99653 return f(*args, **kwargs)99654 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 322, in __call__99655 return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)99656 ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^99657 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 454, in _score99658 response_method = _check_response_method(estimator, self._response_method)99659 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 2286, in _check_response_method99660 raise AttributeError(99661 ...<2 lines>...99662 )99663 AttributeError: SequentialFeatureSelector has none of the following attributes: predict.99664 99665 warnings.warn(9966699667tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[TargetEncoder]99668tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[TargetEncoder]99669 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py:956: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 99670 Traceback (most recent call last):99671 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99672 scores = scorer(estimator, X_test, y_test, **score_params)99673 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 80, in inner_f99674 return f(*args, **kwargs)99675 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 322, in __call__99676 return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)99677 ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^99678 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 454, in _score99679 response_method = _check_response_method(estimator, self._response_method)99680 File "/nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 2286, in _check_response_method99681 raise AttributeError(99682 ...<2 lines>...99683 )99684 AttributeError: TargetEncoder has none of the following attributes: predict.99685 99686 warnings.warn(9968799688neighbors/tests/test_lof.py::test_n_neighbors_attribute99689 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_lof.py:287: UserWarning: n_neighbors (500) is greater than the total number of samples (150). n_neighbors will be set to (n_samples - 1) for estimation.99690 warnings.warn(9969199692neighbors/tests/test_lof.py::test_hasattr_prediction99693neighbors/tests/test_lof.py::test_hasattr_prediction99694 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_lof.py:287: UserWarning: n_neighbors (20) is greater than the total number of samples (3). n_neighbors will be set to (n_samples - 1) for estimation.99695 warnings.warn(9969699697neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_n_features_in_after_fitting]99698 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_lof.py:287: UserWarning: n_neighbors (20) is greater than the total number of samples (15). n_neighbors will be set to (n_samples - 1) for estimation.99699 warnings.warn(9970099701neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]99702neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]99703 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_lof.py:287: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation.99704 warnings.warn(9970599706neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]99707neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]99708 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_lof.py:287: UserWarning: n_neighbors (20) is greater than the total number of samples (12). n_neighbors will be set to (n_samples - 1) for estimation.99709 warnings.warn(9971099711ensemble/tests/test_stacking.py: 30 warnings99712 /nix/store/4x5g6hf3jayddscx0xfgw521dva5a84b-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neural_network/_multilayer_perceptron.py:785: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.99713 warnings.warn(9971499715-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html99716= 34041 passed, 12699 skipped, 224 xfailed, 118 xpassed, 6600 warnings in 218.94s (0:03:38) =99717Finished executing pytestCheckPhase99718pytestCheckPhase completed in 3 minutes 45 seconds