python3.14-scikit-learn-1.9.0
checks.aarch64-linux.pkgs-voxterm
· build #8258
· raw
1elastic-arm-5be5d98b: building cfvbrwdxgxdragvly1kgpij06d3xy0b1-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[111/257] Generating 'sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_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/_ball_tree.pyx:107:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier94warning: sklearn/neighbors/_ball_tree.pyx:310:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier95[112/257] Generating 'sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c'96warning: sklearn/neighbors/_binary_tree.pxi:1091:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier97warning: sklearn/neighbors/_binary_tree.pxi:1957:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier98warning: sklearn/neighbors/_binary_tree.pxi:2052:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier99warning: sklearn/neighbors/_binary_tree.pxi:2221:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier100warning: sklearn/neighbors/_binary_tree.pxi:2344:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier101warning: sklearn/neighbors/_binary_tree.pxi:2401:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier102warning: sklearn/neighbors/_binary_tree.pxi:2402:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier103warning: sklearn/neighbors/_binary_tree.pxi:2726:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier104warning: sklearn/neighbors/_binary_tree.pxi:3592:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier105warning: sklearn/neighbors/_binary_tree.pxi:3687:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier106warning: sklearn/neighbors/_binary_tree.pxi:3856:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier107warning: sklearn/neighbors/_binary_tree.pxi:3979:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier108warning: sklearn/neighbors/_binary_tree.pxi:4036:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier109warning: sklearn/neighbors/_binary_tree.pxi:4037:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier110warning: sklearn/neighbors/_kd_tree.pyx:74:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier111warning: sklearn/neighbors/_kd_tree.pyx:75:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier112warning: sklearn/neighbors/_kd_tree.pyx:342:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier113warning: sklearn/neighbors/_kd_tree.pyx:343:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier114[127/257] 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[140/257] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/meson-generated__argkmin.cpp.o152sklearn/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’:153sklearn/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]15411707 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno;155 | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~156sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp:11570:7: note: ‘__pyx_clineno’ was declared here15711570 | int __pyx_clineno = 0;158 | ^~~~~~~~~~~~~159sklearn/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’:160sklearn/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]161 7012 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno;162 | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~163sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp:6875:7: note: ‘__pyx_clineno’ was declared here164 6875 | int __pyx_clineno = 0;165 | ^~~~~~~~~~~~~166[142/257] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/meson-generated__k_means_minibatch.c.o167sklearn/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’:168sklearn/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]169 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())170 | ^~~171sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5666:8: note: ‘__pyx_v_indices’ was declared here172 5666 | int *__pyx_v_indices;173 | ^~~~~~~~~~~~~~~174sklearn/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’:175sklearn/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]176 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())177 | ^~~178sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5385:8: note: ‘__pyx_v_indices’ was declared here179 5385 | int *__pyx_v_indices;180 | ^~~~~~~~~~~~~~~181In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_12_minibatch_update_sparse’,182 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:7220:13:183sklearn/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]184 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())185 | ^~~186sklearn/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’:187sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:7243:8: note: ‘__pyx_v_indices’ was declared here188 7243 | int *__pyx_v_indices;189 | ^~~~~~~~~~~~~~~190In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_10_minibatch_update_sparse’,191 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:6867:13:192sklearn/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]193 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())194 | ^~~195sklearn/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’:196sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6890:8: note: ‘__pyx_v_indices’ was declared here197 6890 | int *__pyx_v_indices;198 | ^~~~~~~~~~~~~~~199[143/257] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/meson-generated__base.cpp.o200sklearn/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*)’:201sklearn/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]202 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())203 | ^~~204sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:6577:45: note: ‘__pyx_v_thread_num’ was declared here205 6577 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;206 | ^~~~~~~~~~~~~~~~~~207sklearn/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*)’:208sklearn/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]209 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())210 | ^~~211sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:9681:45: note: ‘__pyx_v_thread_num’ was declared here212 9681 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;213 | ^~~~~~~~~~~~~~~~~~214sklearn/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*)’:215sklearn/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]21610097 | #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())217 | ^~~218sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:9993:45: note: ‘__pyx_v_thread_num’ was declared here219 9993 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;220 | ^~~~~~~~~~~~~~~~~~221sklearn/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*)’:222sklearn/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]223 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())224 | ^~~225sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:6889:45: note: ‘__pyx_v_thread_num’ was declared here226 6889 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;227 | ^~~~~~~~~~~~~~~~~~228In 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)’,229 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:8564:113:230sklearn/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]231 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())232 | ^~~233sklearn/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)’:234sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:4629:45: note: ‘__pyx_v_thread_num’ was declared here235 4629 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;236 | ^~~~~~~~~~~~~~~~~~237[144/257] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/meson-generated__radius_neighbors.cpp.o238sklearn/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’:239sklearn/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]24014827 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno;241 | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~242sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:14699:7: note: ‘__pyx_clineno’ was declared here24314699 | int __pyx_clineno = 0;244 | ^~~~~~~~~~~~~245sklearn/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’:246sklearn/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]24710383 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno;248 | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~249sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:10255:7: note: ‘__pyx_clineno’ was declared here25010255 | int __pyx_clineno = 0;251 | ^~~~~~~~~~~~~252[145/257] Compiling C object sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/meson-generated__k_means_lloyd.c.o253In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,254 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:5534:13:255sklearn/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]256 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())257 | ^~~258sklearn/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’:259sklearn/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 here260 5575 | float *__pyx_v_weight_in_clusters_chunk;261 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~262In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,263 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:5534:13:264sklearn/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]265 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())266 | ^~~267sklearn/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’:268sklearn/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 here269 5576 | float *__pyx_v_pairwise_distances_chunk;270 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~271In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,272 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:5534:13:273sklearn/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]274 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())275 | ^~~276sklearn/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’:277sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5572:7: note: ‘__pyx_v_k’ was declared here278 5572 | int __pyx_v_k;279 | ^~~~~~~~~280In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,281 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:5534:13:282sklearn/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]283 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())284 | ^~~285sklearn/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’:286sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5571:7: note: ‘__pyx_v_j’ was declared here287 5571 | int __pyx_v_j;288 | ^~~~~~~~~289In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,290 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:5534:13:291sklearn/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]292 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())293 | ^~~294sklearn/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’:295sklearn/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 here296 5574 | float *__pyx_v_centers_new_chunk;297 | ^~~~~~~~~~~~~~~~~~~~~~~~~298In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’,299 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:9794:13:300sklearn/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]30110207 | #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())302 | ^~~303sklearn/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’:304sklearn/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 here305 9837 | double *__pyx_v_weight_in_clusters_chunk;306 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~307In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’,308 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:9794:13:309sklearn/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]31010207 | #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())311 | ^~~312sklearn/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’:313sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9831:7: note: ‘__pyx_v_k’ was declared here314 9831 | int __pyx_v_k;315 | ^~~~~~~~~316In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’,317 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:9794:13:318sklearn/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]31910207 | #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())320 | ^~~321sklearn/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’:322sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9830:7: note: ‘__pyx_v_j’ was declared here323 9830 | int __pyx_v_j;324 | ^~~~~~~~~325In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’,326 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:9794:13:327sklearn/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]32810207 | #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())329 | ^~~330sklearn/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’:331sklearn/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 here332 9836 | double *__pyx_v_centers_new_chunk;333 | ^~~~~~~~~~~~~~~~~~~~~~~~~334In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’,335 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:8585:13:336sklearn/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]337 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())338 | ^~~339sklearn/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’:340sklearn/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 here341 8628 | float *__pyx_v_weight_in_clusters_chunk;342 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~343In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’,344 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:8585:13:345sklearn/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]346 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())347 | ^~~348sklearn/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’:349sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8622:7: note: ‘__pyx_v_k’ was declared here350 8622 | int __pyx_v_k;351 | ^~~~~~~~~352In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’,353 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:8585:13:354sklearn/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]355 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())356 | ^~~357sklearn/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’:358sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8621:7: note: ‘__pyx_v_j’ was declared here359 8621 | int __pyx_v_j;360 | ^~~~~~~~~361In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’,362 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:8585:13:363sklearn/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]364 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())365 | ^~~366sklearn/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’:367sklearn/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 here368 8627 | float *__pyx_v_centers_new_chunk;369 | ^~~~~~~~~~~~~~~~~~~~~~~~~370In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,371 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:6626:13:372sklearn/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]373 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())374 | ^~~375sklearn/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’:376sklearn/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 here377 6667 | double *__pyx_v_weight_in_clusters_chunk;378 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~379In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,380 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:6626:13:381sklearn/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]382 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())383 | ^~~384sklearn/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’:385sklearn/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 here386 6668 | double *__pyx_v_pairwise_distances_chunk;387 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~388In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,389 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:6626:13:390sklearn/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]391 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())392 | ^~~393sklearn/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’:394sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6664:7: note: ‘__pyx_v_k’ was declared here395 6664 | int __pyx_v_k;396 | ^~~~~~~~~397In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,398 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:6626:13:399sklearn/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]400 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())401 | ^~~402sklearn/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’:403sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6663:7: note: ‘__pyx_v_j’ was declared here404 6663 | int __pyx_v_j;405 | ^~~~~~~~~406In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,407 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:6626:13:408sklearn/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]409 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())410 | ^~~411sklearn/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’:412sklearn/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 here413 6666 | double *__pyx_v_centers_new_chunk;414 | ^~~~~~~~~~~~~~~~~~~~~~~~~415[156/257] 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[166/257] 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[252/257] 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 10 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/hj5slr63ga4na0gwm4z0ija9assipclp-python3.14-scikit-learn-1.9.0-dist1004checking for references to /build/ in /nix/store/hj5slr63ga4na0gwm4z0ija9assipclp-python3.14-scikit-learn-1.9.0-dist...1005patching script interpreter paths in /nix/store/hj5slr63ga4na0gwm4z0ija9assipclp-python3.14-scikit-learn-1.9.0-dist1006shrinking RPATHs of ELF executables and libraries in /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.01007shrinking /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_criterion.cpython-314-aarch64-linux-gnu.so1008shrinking /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_tree.cpython-314-aarch64-linux-gnu.so1009shrinking 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/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0...1077patching script interpreter paths in /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.01078/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-3.8.01097ready: 15/16 workers File "/nix/store/a9f6v92pxviplh8mkb77h8k4phi01k8m-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")1099ready: 16/16 workers File "/nix/store/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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")1105 File "/nix/store/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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/a9f6v92pxviplh8mkb77h8k4phi01k8m-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 LoadScheduling11311132cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-KMeans-elkan-sparse_matrix] 1133_loss/tests/test_link.py::test_interval_raises 1134[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_interval_raises 1135_loss/tests/test_link.py::test_is_in_range[interval0] 1136[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval0] 1137_loss/tests/test_link.py::test_is_in_range[interval1] 1138_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-False-ExponentialLoss] 1139[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-False-ExponentialLoss] 1140_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfSquaredError] 1141[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfSquaredError] 1142_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-AbsoluteError] 1143[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-AbsoluteError] 1144_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-PinballLoss] 1145[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-PinballLoss] 1146_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HuberLoss] 1147decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed[42] 1148[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed[42] 1149decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[auto] 1150[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[auto] 1151decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[dense] 1152[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[dense] 1153decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[arpack] 1154ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned7-all_gradients7-True-6-True-5-False] 1155[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HuberLoss] 1156[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[arpack] 1157[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-KMeans-elkan-sparse_matrix] 1158[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned7-all_gradients7-True-6-True-5-False] 1159[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval1] 1160_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfPoissonLoss] 1161cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-KMeans-elkan-sparse_array] 1162decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[randomized] 1163ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned8-all_gradients8-True-6-True-5-False] 1164_loss/tests/test_link.py::test_is_in_range[interval2] 1165[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfPoissonLoss] 1166[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-KMeans-elkan-sparse_array] 1167[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed_non_symmetric[randomized] 1168[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned8-all_gradients8-True-6-True-5-False] 1169[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval2] 1170_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfGammaLoss] 1171cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-MiniBatchKMeans-None-dense] 1172decomposition/tests/test_kernel_pca.py::test_gridsearch_pipeline 1173ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned0-False-1] 1174_loss/tests/test_link.py::test_is_in_range[interval3] 1175[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfGammaLoss] 1176[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-MiniBatchKMeans-None-dense] 1177[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned0-False-1] 1178[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval3] 1179_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfTweedieLoss] 1180cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-MiniBatchKMeans-None-sparse_matrix] 1181ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned1-False-2] 1182_loss/tests/test_link.py::test_is_in_range[interval4] 1183[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfTweedieLoss] 1184[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-MiniBatchKMeans-None-sparse_matrix] 1185[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned1-False-2] 1186[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval4] 1187_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfBinomialLoss] 1188cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-MiniBatchKMeans-None-sparse_array] 1189ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned2-False-2] 1190_loss/tests/test_link.py::test_is_in_range[interval5] 1191[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfBinomialLoss] 1192[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-2-MiniBatchKMeans-None-sparse_array] 1193[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned2-False-2] 1194[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval5] 1195_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfMultinomialLoss] 1196cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-lloyd-dense] 1197ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned3-True-2] 1198_loss/tests/test_link.py::test_is_in_range[interval6] 1199[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-HalfMultinomialLoss] 1200[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-lloyd-dense] 1201[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned3-True-2] 1202[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval6] 1203_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-ExponentialLoss] 1204cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-lloyd-sparse_matrix] 1205ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned4-True-0] 1206_loss/tests/test_link.py::test_is_in_range[interval7] 1207[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float32-True-ExponentialLoss] 1208[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-lloyd-sparse_matrix] 1209[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_cat_smooth[X_binned4-True-0] 1210[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval7] 1211_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfSquaredError] 1212cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-lloyd-sparse_array] 1213ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned0-all_gradients0-expected_categories_left0-4-4-False-None] 1214_loss/tests/test_link.py::test_is_in_range[interval8] 1215[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfSquaredError] 1216[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-lloyd-sparse_array] 1217[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] 1218[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval8] 1219datasets/tests/test_base.py::test_loader[load_diabetes-data_shape4-target_shape4-None-True-filenames4] 1220inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-3] 1221[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_loader[load_diabetes-data_shape4-target_shape4-None-True-filenames4] 1222_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-AbsoluteError] 1223[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-3] 1224cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-elkan-dense] 1225ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned1-all_gradients1-expected_categories_left1-4-4-False-None] 1226_loss/tests/test_link.py::test_is_in_range[interval9] 1227[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-AbsoluteError] 1228[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_gridsearch_pipeline 1229[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] 1230[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval9] 1231datasets/tests/test_base.py::test_loader[load_digits-data_shape5-target_shape5-10-True-filenames5] 1232inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-4] 1233[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_loader[load_digits-data_shape5-target_shape5-10-True-filenames5] 1234_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-PinballLoss] 1235[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-4] 1236ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned2-all_gradients2-expected_categories_left2-4-4-False-None] 1237_loss/tests/test_link.py::test_is_in_range[interval10] 1238[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-PinballLoss] 1239[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] 1240[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-elkan-dense] 1241[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval10] 1242inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-0] 1243datasets/tests/test_base.py::test_loader[loader_func6-data_shape6-target_shape6-10-True-filenames6] 1244_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HuberLoss] 1245[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-0] 1246ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned3-all_gradients3-expected_categories_left3-4-4-False-None] 1247cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-elkan-sparse_matrix] 1248[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_loader[loader_func6-data_shape6-target_shape6-10-True-filenames6] 1249_loss/tests/test_link.py::test_is_in_range[interval11] 1250[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HuberLoss] 1251[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] 1252[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_is_in_range[interval11] 1253inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-1] 1254datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_breast_cancer-float64-int] 1255_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfPoissonLoss] 1256[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-1] 1257ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned4-all_gradients4-expected_categories_left4-3-9-True-False] 1258_loss/tests/test_link.py::test_link_inverse_identity[42-IdentityLink] 1259decomposition/tests/test_kernel_pca.py::test_gridsearch_pipeline_precomputed 1260[gw5] [ 0%] SKIPPED datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_breast_cancer-float64-int] 1261[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfPoissonLoss] 1262[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] 1263[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_link_inverse_identity[42-IdentityLink] 1264inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-2] 1265datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_diabetes-float64-float64] 1266_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfGammaLoss] 1267[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-2] 1268ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned5-all_gradients5-expected_categories_left5-3-9-True-True] 1269[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-elkan-sparse_matrix] 1270_loss/tests/test_link.py::test_link_inverse_identity[42-LogLink] 1271[gw5] [ 0%] SKIPPED datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_diabetes-float64-float64] 1272[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfGammaLoss] 1273[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] 1274[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_link_inverse_identity[42-LogLink] 1275inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-3] 1276cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-elkan-sparse_array] 1277datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_digits-float64-int] 1278_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfTweedieLoss] 1279[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-3] 1280ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned6-all_gradients6-expected_categories_left6-5-255-True-True] 1281_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-False-loss_gradient-HalfPoissonLoss] 1282_loss/tests/test_link.py::test_link_inverse_identity[42-LogitLink] 1283ensemble/tests/test_voting.py::test_tie_situation 1284decomposition/tests/test_pca.py::test_pca_score[randomized] 1285[gw5] [ 0%] SKIPPED datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_digits-float64-int] 1286impute/tests/test_impute.py::test_missing_indicator_sparse_no_explicit_zeros[csr_array] 1287gaussian_process/tests/test_gpr.py::test_lml_precomputed[kernel5] 1288[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfTweedieLoss] 1289linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-C-C] 1290_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfPoissonLoss] 1291linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[3-l1_ratios0] 1292linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[42-wide-False-sag] 1293[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] 1294[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-False-loss_gradient-HalfPoissonLoss] 1295[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_link_inverse_identity[42-LogitLink] 1296[gw9] [ 0%] PASSED ensemble/tests/test_voting.py::test_tie_situation 1297[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_score[randomized] 1298[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_missing_indicator_sparse_no_explicit_zeros[csr_array] 1299[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_precomputed[kernel5] 1300inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-4] 1301[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-C-C] 1302[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfPoissonLoss] 1303[gw14] [ 0%] PASSED linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[3-l1_ratios0] 1304[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[42-wide-False-sag] 1305[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-4] 1306inspection/tests/test_partial_dependence.py::test_recursion_decision_tree_vs_forest_and_gbdt[0] 1307[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_recursion_decision_tree_vs_forest_and_gbdt[0] 1308inspection/tests/test_partial_dependence.py::test_recursion_decision_function[0-est0] 1309impute/tests/test_impute.py::test_imputer_without_indicator[SimpleImputer] 1310[gw12] [ 0%] PASSED inspection/tests/test_partial_dependence.py::test_recursion_decision_function[0-est0] 1311_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfBinomialLoss] 1312datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_iris-float64-int] 1313_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-__call__-HalfBinomialLoss] 1314ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned7-all_gradients7-expected_categories_left7-59-59-True-True] 1315ensemble/tests/test_voting.py::test_weights_iris[42] 1316_loss/tests/test_link.py::test_link_inverse_identity[42-HalfLogitLink] 1317decomposition/tests/test_pca.py::test_pca_score[auto] 1318[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_imputer_without_indicator[SimpleImputer] 1319gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel0] 1320[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfBinomialLoss] 1321linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[3-l1_ratios1] 1322linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[42-wide-False-saga] 1323[gw5] [ 0%] SKIPPED datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_iris-float64-int] 1324[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-__call__-HalfBinomialLoss] 1325linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-C-F] 1326[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] 1327_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfGammaLoss] 1328[gw9] [ 0%] PASSED ensemble/tests/test_voting.py::test_weights_iris[42] 1329[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_link_inverse_identity[42-HalfLogitLink] 1330[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_score[auto] 1331[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel0] 1332inspection/tests/test_partial_dependence.py::test_recursion_decision_function[0-est1] 1333[gw14] [ 0%] PASSED linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[3-l1_ratios1] 1334[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[42-wide-False-saga] 1335[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-C-F] 1336ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_categorical_sanity[X_binned8-all_gradients8-expected_categories_left8-255-255-True-True] 1337[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] 1338ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_interaction_constraints 1339[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_interaction_constraints 1340ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_feature_fraction_per_split[forbidden_features0] 1341[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_feature_fraction_per_split[forbidden_features0] 1342ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_feature_fraction_per_split[forbidden_features1] 1343[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_feature_fraction_per_split[forbidden_features1] 1344ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_max_iter_with_warm_start_validation[HistGradientBoostingClassifier-X0-y0] 1345[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_max_iter_with_warm_start_validation[HistGradientBoostingClassifier-X0-y0] 1346ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_max_iter_with_warm_start_validation[HistGradientBoostingRegressor-X1-y1] 1347[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_max_iter_with_warm_start_validation[HistGradientBoostingRegressor-X1-y1] 1348ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_yields_identical_results[HistGradientBoostingClassifier-X0-y0] 1349impute/tests/test_impute.py::test_imputer_without_indicator[IterativeImputer] 1350[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_imputer_without_indicator[IterativeImputer] 1351impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csc_matrix] 1352[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csc_matrix] 1353impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csc_array] 1354[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csc_array] 1355impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csr_matrix] 1356[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csr_matrix] 1357impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csr_array] 1358[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csr_array] 1359impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[coo_matrix] 1360[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[coo_matrix] 1361impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[coo_array] 1362[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[coo_array] 1363impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[lil_matrix] 1364[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[lil_matrix] 1365impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[lil_array] 1366[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[lil_array] 1367impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[bsr_matrix] 1368[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[bsr_matrix] 1369impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[bsr_array] 1370[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[bsr_array] 1371impute/tests/test_impute.py::test_simple_imputation_string_list[most_frequent-b] 1372[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_string_list[most_frequent-b] 1373impute/tests/test_impute.py::test_simple_imputation_string_list[constant-missing_value] 1374[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_string_list[constant-missing_value] 1375impute/tests/test_impute.py::test_imputation_order[ascending-idx_order0] 1376[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_imputation_order[ascending-idx_order0] 1377impute/tests/test_impute.py::test_imputation_order[descending-idx_order1] 1378ensemble/tests/test_voting.py::test_weights_regressor 1379[gw9] [ 0%] PASSED ensemble/tests/test_voting.py::test_weights_regressor 1380ensemble/tests/test_voting.py::test_predict_on_toy_problem[42] 1381[gw9] [ 0%] PASSED ensemble/tests/test_voting.py::test_predict_on_toy_problem[42] 1382ensemble/tests/test_voting.py::test_predict_proba_on_toy_problem 1383[gw9] [ 0%] PASSED ensemble/tests/test_voting.py::test_predict_proba_on_toy_problem 1384ensemble/tests/test_voting.py::test_multilabel 1385[gw9] [ 0%] PASSED ensemble/tests/test_voting.py::test_multilabel 1386ensemble/tests/test_voting.py::test_gridsearch 1387[gw9] [ 0%] PASSED ensemble/tests/test_voting.py::test_gridsearch 1388ensemble/tests/test_voting.py::test_parallel_fit[42] 1389linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-F-C] 1390[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-F-C] 1391linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-F-F] 1392[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_set_order_sparse[coo_array-F-F] 1393linear_model/tests/test_coordinate_descent.py::test_cython_solver_equivalence[csc_array] 1394[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_cython_solver_equivalence[csc_array] 1395linear_model/tests/test_coordinate_descent.py::test_cython_solver_equivalence[csc_matrix] 1396[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_cython_solver_equivalence[csc_matrix] 1397linear_model/tests/test_coordinate_descent.py::test_lasso_zero 1398[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_lasso_zero 1399linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params 1400[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params 1401linear_model/tests/test_coordinate_descent.py::test_lasso_toy 1402[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_lasso_toy 1403linear_model/tests/test_coordinate_descent.py::test_enet_toy 1404linear_model/tests/test_logistic.py::test_LogisticRegressionCV_elasticnet_attribute_shapes[2] 1405[gw14] [ 0%] PASSED linear_model/tests/test_logistic.py::test_LogisticRegressionCV_elasticnet_attribute_shapes[2] 1406linear_model/tests/test_logistic.py::test_LogisticRegressionCV_elasticnet_attribute_shapes[3] 1407[gw14] [ 0%] PASSED linear_model/tests/test_logistic.py::test_LogisticRegressionCV_elasticnet_attribute_shapes[3] 1408linear_model/tests/test_logistic.py::test_LogisticRegressionCV_on_folds 1409linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-svd] 1410[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-svd] 1411linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-sparse_cg] 1412[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-sparse_cg] 1413linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-cholesky] 1414[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-cholesky] 1415linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-lsqr] 1416[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-lsqr] 1417linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-sag] 1418[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-sag] 1419linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-saga] 1420[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-True-saga] 1421linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-svd] 1422[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-svd] 1423linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-sparse_cg] 1424[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-sparse_cg] 1425linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-cholesky] 1426[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-cholesky] 1427linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-lsqr] 1428[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-lsqr] 1429linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-sag] 1430[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-sag] 1431linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-saga] 1432[gw15] [ 0%] PASSED linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-long-False-saga] 1433linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-wide-True-svd] 1434gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel1] 1435[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel1] 1436gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel2] 1437[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel2] 1438gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel3] 1439[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel3] 1440gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel4] 1441[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel4] 1442gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel5] 1443[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel5] 1444gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel0] 1445[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel0] 1446gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel1] 1447[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel1] 1448gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel2] 1449[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel2] 1450gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel3] 1451[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel3] 1452datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_linnerud-float64-float64] 1453[gw5] [ 0%] SKIPPED datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_linnerud-float64-float64] 1454datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_wine-float64-int] 1455[gw5] [ 0%] SKIPPED datasets/tests/test_base.py::test_toy_dataset_frame_dtype[load_wine-float64-int] 1456datasets/tests/test_base.py::test_loads_dumps_bunch 1457[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_loads_dumps_bunch 1458datasets/tests/test_base.py::test_bunch_pickle_generated_with_0_16_and_read_with_0_17 1459[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_bunch_pickle_generated_with_0_16_and_read_with_0_17 1460datasets/tests/test_base.py::test_bunch_dir 1461[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_bunch_dir 1462datasets/tests/test_base.py::test_load_boston_error 1463[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_load_boston_error 1464datasets/tests/test_base.py::test_fetch_remote_raise_warnings_with_invalid_url 1465[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_fetch_remote_raise_warnings_with_invalid_url 1466datasets/tests/test_base.py::test_derive_folder_and_filename_from_url 1467[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_derive_folder_and_filename_from_url 1468datasets/tests/test_base.py::test_fetch_file_using_data_home 1469[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_fetch_file_using_data_home 1470datasets/tests/test_base.py::test_fetch_file_without_sha256 1471[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_fetch_file_without_sha256 1472datasets/tests/test_base.py::test_fetch_file_with_sha256 1473[gw5] [ 0%] PASSED datasets/tests/test_base.py::test_fetch_file_with_sha256 1474datasets/tests/test_california_housing.py::test_fetch 1475[gw5] [ 0%] SKIPPED datasets/tests/test_california_housing.py::test_fetch 1476datasets/tests/test_california_housing.py::test_fetch_asframe 1477[gw5] [ 0%] SKIPPED datasets/tests/test_california_housing.py::test_fetch_asframe 1478datasets/tests/test_california_housing.py::test_pandas_dependency_message 1479[gw5] [ 0%] SKIPPED datasets/tests/test_california_housing.py::test_pandas_dependency_message 1480[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-KMeans-elkan-sparse_array] 1481cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-MiniBatchKMeans-None-dense] 1482[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfGammaLoss] 1483_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfTweedieLoss] 1484[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfTweedieLoss] 1485_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfBinomialLoss] 1486[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfBinomialLoss] 1487_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfMultinomialLoss] 1488[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfMultinomialLoss] 1489_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-ExponentialLoss] 1490[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-ExponentialLoss] 1491_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfSquaredError] 1492[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfSquaredError] 1493_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-AbsoluteError] 1494[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-AbsoluteError] 1495_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-PinballLoss] 1496[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-PinballLoss] 1497_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HuberLoss] 1498[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HuberLoss] 1499_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfPoissonLoss] 1500[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfPoissonLoss] 1501_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfGammaLoss] 1502[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfGammaLoss] 1503_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfTweedieLoss] 1504[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfTweedieLoss] 1505_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfBinomialLoss] 1506[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfBinomialLoss] 1507_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfMultinomialLoss] 1508[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfMultinomialLoss] 1509_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-ExponentialLoss] 1510[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-ExponentialLoss] 1511_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfSquaredError] 1512[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfSquaredError] 1513_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-AbsoluteError] 1514[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-AbsoluteError] 1515_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-PinballLoss(quantile=0.5)] 1516[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-PinballLoss(quantile=0.5)] 1517_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HuberLoss(quantile=0.9] 1518[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HuberLoss(quantile=0.9] 1519_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfPoissonLoss] 1520[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfPoissonLoss] 1521_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfGammaLoss] 1522[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_imputation_order[descending-idx_order1] 1523impute/tests/test_impute.py::test_simple_imputation_inverse_transform[-1] 1524[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_inverse_transform[-1] 1525impute/tests/test_impute.py::test_simple_imputation_inverse_transform[nan] 1526[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfGammaLoss] 1527_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=1.5)] 1528[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=1.5)] 1529_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfBinomialLoss] 1530[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfBinomialLoss] 1531_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfMultinomialLoss] 1532[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfMultinomialLoss] 1533_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-ExponentialLoss] 1534[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-ExponentialLoss] 1535_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-PinballLoss(quantile=0.25)] 1536[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-PinballLoss(quantile=0.25)] 1537_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HuberLoss(quantile=0.75] 1538[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HuberLoss(quantile=0.75] 1539_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=-1.5)] 1540[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=-1.5)] 1541_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=0.0)] 1542[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=0.0)] 1543_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=1.0)] 1544[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_enet_toy 1545linear_model/tests/test_coordinate_descent.py::test_lasso_dual_gap 1546[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_lasso_dual_gap 1547linear_model/tests/test_coordinate_descent.py::test_lasso_cv 1548[gw13] [ 0%] PASSED linear_model/tests/test_coordinate_descent.py::test_lasso_cv 1549linear_model/tests/test_coordinate_descent.py::test_lasso_cv_with_some_model_selection 1550gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel4] 1551[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel4] 1552gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel0] 1553[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel0] 1554gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel1] 1555[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel1] 1556gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel2] 1557[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel2] 1558gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel3] 1559[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel3] 1560gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel4] 1561[gw10] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel4] 1562gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel0] 1563[gw10] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel0] 1564gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel1] 1565[gw10] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel1] 1566gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel2] 1567[gw10] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel2] 1568gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel3] 1569datasets/tests/test_common.py::test_common_check_return_X_y[fetch_20newsgroups-fetch_20newsgroups] 1570[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_20newsgroups-fetch_20newsgroups] 1571datasets/tests/test_common.py::test_common_check_return_X_y[fetch_20newsgroups_vectorized-fetch_20newsgroups_vectorized] 1572[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_20newsgroups_vectorized-fetch_20newsgroups_vectorized] 1573datasets/tests/test_common.py::test_common_check_return_X_y[fetch_california_housing-fetch_california_housing] 1574[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_california_housing-fetch_california_housing] 1575datasets/tests/test_common.py::test_common_check_return_X_y[fetch_covtype-fetch_covtype] 1576[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_covtype-fetch_covtype] 1577datasets/tests/test_common.py::test_common_check_return_X_y[fetch_kddcup99-fetch_kddcup99] 1578[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_kddcup99-fetch_kddcup99] 1579datasets/tests/test_common.py::test_common_check_return_X_y[fetch_lfw_people-fetch_lfw_people] 1580[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_lfw_people-fetch_lfw_people] 1581datasets/tests/test_common.py::test_common_check_return_X_y[fetch_olivetti_faces-fetch_olivetti_faces] 1582[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_olivetti_faces-fetch_olivetti_faces] 1583datasets/tests/test_common.py::test_common_check_return_X_y[fetch_openml-fetch_openml] 1584[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_openml-fetch_openml] 1585datasets/tests/test_common.py::test_common_check_return_X_y[fetch_rcv1-fetch_rcv1] 1586[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_return_X_y[fetch_rcv1-fetch_rcv1] 1587datasets/tests/test_common.py::test_common_check_return_X_y[load_breast_cancer-load_breast_cancer] 1588[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_return_X_y[load_breast_cancer-load_breast_cancer] 1589datasets/tests/test_common.py::test_common_check_return_X_y[load_diabetes-load_diabetes] 1590[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_return_X_y[load_diabetes-load_diabetes] 1591datasets/tests/test_common.py::test_common_check_return_X_y[load_digits-load_digits] 1592[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_return_X_y[load_digits-load_digits] 1593datasets/tests/test_common.py::test_common_check_return_X_y[load_iris-load_iris] 1594[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_return_X_y[load_iris-load_iris] 1595datasets/tests/test_common.py::test_common_check_return_X_y[load_linnerud-load_linnerud] 1596[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_return_X_y[load_linnerud-load_linnerud] 1597datasets/tests/test_common.py::test_common_check_return_X_y[load_wine-load_wine] 1598[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_return_X_y[load_wine-load_wine] 1599datasets/tests/test_common.py::test_common_check_as_frame[fetch_20newsgroups_vectorized-fetch_20newsgroups_vectorized] 1600[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[fetch_20newsgroups_vectorized-fetch_20newsgroups_vectorized] 1601datasets/tests/test_common.py::test_common_check_as_frame[fetch_california_housing-fetch_california_housing] 1602decomposition/tests/test_pca.py::test_pca_score3 1603[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_score3 1604decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[full] 1605[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[full] 1606decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[covariance_eigh] 1607[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[covariance_eigh] 1608decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[arpack] 1609[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[arpack] 1610decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[randomized] 1611[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[randomized] 1612decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[auto] 1613[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[auto] 1614decomposition/tests/test_pca.py::test_pca_score_consistency_solvers[arpack] 1615_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-__call__-HalfMultinomialLoss] 1616[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-__call__-HalfMultinomialLoss] 1617_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-__call__-HalfPoissonLoss] 1618[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-__call__-HalfPoissonLoss] 1619_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-gradient-HalfBinomialLoss] 1620[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-gradient-HalfBinomialLoss] 1621_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-gradient-HalfMultinomialLoss] 1622[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-gradient-HalfMultinomialLoss] 1623_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-gradient-HalfPoissonLoss] 1624[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-gradient-HalfPoissonLoss] 1625_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss-HalfBinomialLoss] 1626[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss-HalfBinomialLoss] 1627_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss-HalfMultinomialLoss] 1628[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss-HalfMultinomialLoss] 1629_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss-HalfPoissonLoss] 1630[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss-HalfPoissonLoss] 1631_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss_gradient-HalfBinomialLoss] 1632[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss_gradient-HalfBinomialLoss] 1633_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss_gradient-HalfMultinomialLoss] 1634[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss_gradient-HalfMultinomialLoss] 1635_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss_gradient-HalfPoissonLoss] 1636[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float64-True-loss_gradient-HalfPoissonLoss] 1637_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-__call__-HalfBinomialLoss] 1638[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-__call__-HalfBinomialLoss] 1639[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_gridsearch_pipeline_precomputed 1640decomposition/tests/test_kernel_pca.py::test_nested_circles 1641_loss/tests/test_link.py::test_link_inverse_identity[42-MultinomialLogit] 1642[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_score_consistency_solvers[arpack] 1643decomposition/tests/test_pca.py::test_pca_score_consistency_solvers[randomized] 1644[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_score_consistency_solvers[randomized] 1645decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[full] 1646[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[full] 1647decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[randomized] 1648[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[randomized] 1649decomposition/tests/test_pca.py::test_pca_svd_solver_auto[10-50-5-full] 1650[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_svd_solver_auto[10-50-5-full] 1651decomposition/tests/test_pca.py::test_pca_svd_solver_auto[1000-50-50-covariance_eigh] 1652[gw7] [ 0%] PASSED decomposition/tests/test_pca.py::test_pca_svd_solver_auto[1000-50-50-covariance_eigh] 1653decomposition/tests/test_pca.py::test_pca_svd_solver_auto[1000-500-400-full] 1654[gw0] [ 0%] PASSED _loss/tests/test_link.py::test_link_inverse_identity[42-MultinomialLogit] 1655_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-numpy-None-None] 1656[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-numpy-None-None] 1657_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-array_api_strict-CPU_DEVICE-float64] 1658[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-array_api_strict-CPU_DEVICE-float64] 1659_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-array_api_strict-device1-float32] 1660[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-array_api_strict-device1-float32] 1661_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-cupy-None-None] 1662[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-cupy-None-None] 1663_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cpu-float64] 1664[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cpu-float64] 1665_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cpu-float32] 1666[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cpu-float32] 1667_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cuda-float64] 1668[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cuda-float64] 1669_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cuda-float32] 1670[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-cuda-float32] 1671_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-xpu-float64] 1672[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-xpu-float64] 1673_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-xpu-float32] 1674[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-xpu-float32] 1675_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-mps-float32] 1676[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-torch-mps-float32] 1677_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-cpu-float64] 1678[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-cpu-float64] 1679_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-cpu-float32] 1680[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-cpu-float32] 1681_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-gpu-float64] 1682[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-gpu-float64] 1683_loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-gpu-float32] 1684[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-IdentityLink-dpnp-gpu-float32] 1685_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-numpy-None-None] 1686[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=1.0)] 1687_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=2.0)] 1688[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=2.0)] 1689_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=3.0)] 1690[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=3.0)] 1691_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=0.0)] 1692[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=0.0)] 1693_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=1.0)] 1694[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[fetch_california_housing-fetch_california_housing] 1695datasets/tests/test_common.py::test_common_check_as_frame[fetch_covtype-fetch_covtype] 1696[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[fetch_covtype-fetch_covtype] 1697datasets/tests/test_common.py::test_common_check_as_frame[fetch_kddcup99-fetch_kddcup99] 1698[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[fetch_kddcup99-fetch_kddcup99] 1699datasets/tests/test_common.py::test_common_check_as_frame[fetch_openml-fetch_openml] 1700[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[fetch_openml-fetch_openml] 1701datasets/tests/test_common.py::test_common_check_as_frame[load_breast_cancer-load_breast_cancer] 1702[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[load_breast_cancer-load_breast_cancer] 1703datasets/tests/test_common.py::test_common_check_as_frame[load_diabetes-load_diabetes] 1704[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-MiniBatchKMeans-None-dense] 1705cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-MiniBatchKMeans-None-sparse_matrix] 1706[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-MiniBatchKMeans-None-sparse_matrix] 1707_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfMultinomialLoss] 1708[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-HalfMultinomialLoss] 1709_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-ExponentialLoss] 1710[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-False-ExponentialLoss] 1711_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfSquaredError] 1712[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfSquaredError] 1713_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-AbsoluteError] 1714[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-AbsoluteError] 1715_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-PinballLoss] 1716[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-PinballLoss] 1717_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HuberLoss] 1718[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HuberLoss] 1719_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfPoissonLoss] 1720[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[load_diabetes-load_diabetes] 1721datasets/tests/test_common.py::test_common_check_as_frame[load_digits-load_digits] 1722_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-__call__-HalfMultinomialLoss] 1723[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-__call__-HalfMultinomialLoss] 1724_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-__call__-HalfPoissonLoss] 1725[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-__call__-HalfPoissonLoss] 1726_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-gradient-HalfBinomialLoss] 1727[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-gradient-HalfBinomialLoss] 1728_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-gradient-HalfMultinomialLoss] 1729[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-gradient-HalfMultinomialLoss] 1730_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-gradient-HalfPoissonLoss] 1731[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-gradient-HalfPoissonLoss] 1732_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss-HalfBinomialLoss] 1733[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss-HalfBinomialLoss] 1734_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss-HalfMultinomialLoss] 1735[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss-HalfMultinomialLoss] 1736_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss-HalfPoissonLoss] 1737[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss-HalfPoissonLoss] 1738_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss_gradient-HalfBinomialLoss] 1739[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss_gradient-HalfBinomialLoss] 1740_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss_gradient-HalfMultinomialLoss] 1741[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss_gradient-HalfMultinomialLoss] 1742_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss_gradient-HalfPoissonLoss] 1743[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-False-loss_gradient-HalfPoissonLoss] 1744_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-__call__-HalfBinomialLoss] 1745[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-__call__-HalfBinomialLoss] 1746_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-__call__-HalfMultinomialLoss] 1747[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-__call__-HalfMultinomialLoss] 1748_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-__call__-HalfPoissonLoss] 1749[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-__call__-HalfPoissonLoss] 1750_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-gradient-HalfBinomialLoss] 1751[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-gradient-HalfBinomialLoss] 1752_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-gradient-HalfMultinomialLoss] 1753[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-gradient-HalfMultinomialLoss] 1754_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-gradient-HalfPoissonLoss] 1755[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-gradient-HalfPoissonLoss] 1756_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss-HalfBinomialLoss] 1757[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss-HalfBinomialLoss] 1758_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss-HalfMultinomialLoss] 1759[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss-HalfMultinomialLoss] 1760_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss-HalfPoissonLoss] 1761[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_inverse_transform[nan] 1762impute/tests/test_impute.py::test_simple_imputation_inverse_transform_exceptions[-1] 1763[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_inverse_transform_exceptions[-1] 1764impute/tests/test_impute.py::test_simple_imputation_inverse_transform_exceptions[nan] 1765[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_simple_imputation_inverse_transform_exceptions[nan] 1766impute/tests/test_impute.py::test_most_frequent[extra_value-array0-object-extra_value-2] 1767[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent[extra_value-array0-object-extra_value-2] 1768impute/tests/test_impute.py::test_most_frequent[most_frequent_value-array1-object-extra_value-1] 1769[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent[most_frequent_value-array1-object-extra_value-1] 1770impute/tests/test_impute.py::test_most_frequent[a-array2-object-a-2] 1771[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent[a-array2-object-a-2] 1772impute/tests/test_impute.py::test_most_frequent[min_value-array3-object-z-2] 1773[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent[min_value-array3-object-z-2] 1774impute/tests/test_impute.py::test_most_frequent[10-array4-int-10-2] 1775[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent[10-array4-int-10-2] 1776impute/tests/test_impute.py::test_most_frequent[1-array5-int-10-1] 1777[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent[1-array5-int-10-1] 1778impute/tests/test_impute.py::test_most_frequent[10-array6-int-10-2] 1779[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent[10-array6-int-10-2] 1780impute/tests/test_impute.py::test_most_frequent[1-array7-int-10-2] 1781[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent[1-array7-int-10-2] 1782impute/tests/test_impute.py::test_most_frequent_tie_object[a-array0] 1783[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent_tie_object[a-array0] 1784impute/tests/test_impute.py::test_most_frequent_tie_object[1-array1] 1785[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent_tie_object[1-array1] 1786impute/tests/test_impute.py::test_most_frequent_tie_object[None-array2] 1787[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent_tie_object[None-array2] 1788[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfPoissonLoss] 1789_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfGammaLoss] 1790[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfGammaLoss] 1791_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfTweedieLoss] 1792[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfTweedieLoss] 1793_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfBinomialLoss] 1794[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfBinomialLoss] 1795_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfMultinomialLoss] 1796[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-HalfMultinomialLoss] 1797_loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-ExponentialLoss] 1798[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-None-float64-float64-True-ExponentialLoss] 1799_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfSquaredError] 1800[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfSquaredError] 1801_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-AbsoluteError] 1802[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-AbsoluteError] 1803_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-PinballLoss] 1804[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-PinballLoss] 1805_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HuberLoss] 1806[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HuberLoss] 1807_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfPoissonLoss] 1808[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfPoissonLoss] 1809_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfGammaLoss] 1810[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfGammaLoss] 1811_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfTweedieLoss] 1812[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfTweedieLoss] 1813_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfBinomialLoss] 1814[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfBinomialLoss] 1815_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfMultinomialLoss] 1816[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-HalfMultinomialLoss] 1817_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-ExponentialLoss] 1818[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-False-ExponentialLoss] 1819_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-HalfSquaredError] 1820[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss-HalfPoissonLoss] 1821_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss_gradient-HalfBinomialLoss] 1822[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss_gradient-HalfBinomialLoss] 1823_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss_gradient-HalfMultinomialLoss] 1824[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-numpy-None-None] 1825_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-array_api_strict-CPU_DEVICE-float64] 1826[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-array_api_strict-CPU_DEVICE-float64] 1827_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-array_api_strict-device1-float32] 1828[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-array_api_strict-device1-float32] 1829_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-cupy-None-None] 1830[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=1.0)] 1831_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=2.0)] 1832[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=2.0)] 1833_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=3.0)] 1834[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=3.0)] 1835_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfSquaredError] 1836[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfSquaredError] 1837_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-AbsoluteError] 1838[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-AbsoluteError] 1839_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-PinballLoss(quantile=0.5)] 1840[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-PinballLoss(quantile=0.5)] 1841[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[load_digits-load_digits] 1842datasets/tests/test_common.py::test_common_check_as_frame[load_iris-load_iris] 1843[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[load_iris-load_iris] 1844datasets/tests/test_common.py::test_common_check_as_frame[load_linnerud-load_linnerud] 1845[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[load_linnerud-load_linnerud] 1846datasets/tests/test_common.py::test_common_check_as_frame[load_wine-load_wine] 1847[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_as_frame[load_wine-load_wine] 1848datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_20newsgroups_vectorized-fetch_20newsgroups_vectorized] 1849[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_20newsgroups_vectorized-fetch_20newsgroups_vectorized] 1850datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_california_housing-fetch_california_housing] 1851[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_california_housing-fetch_california_housing] 1852datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_covtype-fetch_covtype] 1853[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_covtype-fetch_covtype] 1854datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_kddcup99-fetch_kddcup99] 1855[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_kddcup99-fetch_kddcup99] 1856datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_openml-fetch_openml] 1857[gw5] [ 0%] SKIPPED datasets/tests/test_common.py::test_common_check_pandas_dependency[fetch_openml-fetch_openml] 1858datasets/tests/test_common.py::test_common_check_pandas_dependency[load_breast_cancer-load_breast_cancer] 1859_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HuberLoss(quantile=0.9] 1860[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss_gradient-HalfMultinomialLoss] 1861_loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss_gradient-HalfPoissonLoss] 1862[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-cpu-float32-True-loss_gradient-HalfPoissonLoss] 1863_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-__call__-HalfBinomialLoss] 1864impute/tests/test_impute.py::test_most_frequent_tie_object[None-array3] 1865[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent_tie_object[None-array3] 1866impute/tests/test_impute.py::test_most_frequent_tie_object[None-array4] 1867[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent_tie_object[None-array4] 1868impute/tests/test_impute.py::test_most_frequent_tie_object[1-array5] 1869[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent_tie_object[1-array5] 1870impute/tests/test_impute.py::test_most_frequent_tie_object[1-array6] 1871[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_most_frequent_tie_object[1-array6] 1872impute/tests/test_impute.py::test_iterative_imputer_keep_empty_features[mean] 1873[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-HalfSquaredError] 1874_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-AbsoluteError] 1875[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-AbsoluteError] 1876_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-PinballLoss] 1877[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-PinballLoss] 1878_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-HuberLoss] 1879[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-cupy-None-None] 1880_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cpu-float64] 1881[gw15] [ 0%] XFAIL linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-wide-True-svd] 1882linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[42-wide-True-sparse_cg] 1883[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_pandas_dependency[load_breast_cancer-load_breast_cancer] 1884datasets/tests/test_common.py::test_common_check_pandas_dependency[load_diabetes-load_diabetes] 1885[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-__call__-HalfBinomialLoss] 1886_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-__call__-HalfMultinomialLoss] 1887[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cpu-float64] 1888_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cpu-float32] 1889[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cpu-float32] 1890_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cuda-float64] 1891[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cuda-float64] 1892[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_nested_circles 1893decomposition/tests/test_kernel_pca.py::test_kernel_conditioning 1894[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_kernel_conditioning 1895decomposition/tests/test_kernel_pca.py::test_precomputed_kernel_not_psd[auto] 1896[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_precomputed_kernel_not_psd[auto] 1897decomposition/tests/test_kernel_pca.py::test_precomputed_kernel_not_psd[dense] 1898[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_precomputed_kernel_not_psd[dense] 1899decomposition/tests/test_kernel_pca.py::test_precomputed_kernel_not_psd[arpack] 1900[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_precomputed_kernel_not_psd[arpack] 1901decomposition/tests/test_kernel_pca.py::test_precomputed_kernel_not_psd[randomized] 1902cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-MiniBatchKMeans-None-sparse_array] 1903[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_kmeans_predict[42-float64-100-MiniBatchKMeans-None-sparse_array] 1904cluster/tests/test_k_means.py::test_dense_sparse[42-KMeans-X_csr0] 1905[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-HuberLoss] 1906_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-HalfPoissonLoss] 1907[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HuberLoss(quantile=0.9] 1908_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfPoissonLoss] 1909[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfPoissonLoss] 1910_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfGammaLoss] 1911[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfGammaLoss] 1912[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_pandas_dependency[load_diabetes-load_diabetes] 1913datasets/tests/test_common.py::test_common_check_pandas_dependency[load_digits-load_digits] 1914[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_iterative_imputer_keep_empty_features[mean] 1915impute/tests/test_impute.py::test_iterative_imputer_keep_empty_features[median] 1916[gw8] [ 0%] PASSED ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_yields_identical_results[HistGradientBoostingClassifier-X0-y0] 1917ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_yields_identical_results[HistGradientBoostingRegressor-X1-y1] 1918_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=1.5)] 1919_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cuda-float32] 1920[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-cuda-float32] 1921[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_dense_sparse[42-KMeans-X_csr0] 1922[gw6] [ 0%] PASSED decomposition/tests/test_kernel_pca.py::test_precomputed_kernel_not_psd[randomized] 1923decomposition/tests/test_kernel_pca.py::test_kernel_pca_solvers_equivalence[4] 1924_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-xpu-float64] 1925[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=1.5)] 1926_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfBinomialLoss] 1927cluster/tests/test_k_means.py::test_dense_sparse[42-KMeans-X_csr1] 1928[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfBinomialLoss] 1929[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-xpu-float64] 1930_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfMultinomialLoss] 1931[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_pandas_dependency[load_digits-load_digits] 1932[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-__call__-HalfMultinomialLoss] 1933_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-__call__-HalfPoissonLoss] 1934[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-__call__-HalfPoissonLoss] 1935datasets/tests/test_common.py::test_common_check_pandas_dependency[load_iris-load_iris] 1936[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-HalfPoissonLoss] 1937[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfMultinomialLoss] 1938_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-ExponentialLoss] 1939_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-HalfGammaLoss] 1940_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-gradient-HalfBinomialLoss] 1941[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-gradient-HalfBinomialLoss] 1942[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_pandas_dependency[load_iris-load_iris] 1943[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_iterative_imputer_keep_empty_features[median] 1944impute/tests/test_impute.py::test_iterative_imputer_keep_empty_features[most_frequent] 1945[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-ExponentialLoss] 1946[gw4] [ 0%] PASSED cluster/tests/test_k_means.py::test_dense_sparse[42-KMeans-X_csr1] 1947datasets/tests/test_common.py::test_common_check_pandas_dependency[load_linnerud-load_linnerud] 1948_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-PinballLoss(quantile=0.25)] 1949[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-PinballLoss(quantile=0.25)] 1950_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HuberLoss(quantile=0.75] 1951_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-xpu-float32] 1952[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_pandas_dependency[load_linnerud-load_linnerud] 1953datasets/tests/test_common.py::test_common_check_pandas_dependency[load_wine-load_wine] 1954[gw5] [ 0%] PASSED datasets/tests/test_common.py::test_common_check_pandas_dependency[load_wine-load_wine] 1955[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HuberLoss(quantile=0.75] 1956_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=-1.5)] 1957[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=-1.5)] 1958_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=0.0)] 1959[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=0.0)] 1960_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=1.0)] 1961[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=1.0)] 1962_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-gradient-HalfMultinomialLoss] 1963[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-gradient-HalfMultinomialLoss] 1964_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-gradient-HalfPoissonLoss] 1965[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-gradient-HalfPoissonLoss] 1966_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss-HalfBinomialLoss] 1967[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss-HalfBinomialLoss] 1968_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss-HalfMultinomialLoss] 1969[gw3] [ 0%] SKIPPED _loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss-HalfMultinomialLoss] 1970_loss/tests/test_loss.py::test_loss_array_api[dpnp-gpu-float64-False-loss-HalfPoissonLoss] 1971_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=2.0)] 1972datasets/tests/test_covtype.py::test_fetch[42] 1973[gw5] [ 0%] SKIPPED datasets/tests/test_covtype.py::test_fetch[42] 1974datasets/tests/test_covtype.py::test_fetch_asframe 1975[gw5] [ 0%] SKIPPED datasets/tests/test_covtype.py::test_fetch_asframe 1976datasets/tests/test_covtype.py::test_pandas_dependency_message 1977[gw5] [ 0%] SKIPPED datasets/tests/test_covtype.py::test_pandas_dependency_message 1978[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=2.0)] 1979[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-HalfGammaLoss] 1980_loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-HalfTweedieLoss] 1981[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-xpu-float32] 1982_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-mps-float32] 1983[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-torch-mps-float32] 1984_loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-dpnp-cpu-float64] 1985cluster/tests/test_k_means.py::test_dense_sparse[42-MiniBatchKMeans-X_csr0] 1986_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=3.0)] 1987[gw2] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=3.0)] 1988_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=0.0)] 1989datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[None-494021-41-True] 1990[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[None-494021-41-True] 1991datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[None-494021-41-False] 1992[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[None-494021-41-False] 1993datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[SA-100655-41-True] 1994[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[SA-100655-41-True] 1995datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[SA-100655-41-False] 1996[gw11] [ 0%] PASSED impute/tests/test_impute.py::test_iterative_imputer_keep_empty_features[most_frequent] 1997[gw0] [ 0%] SKIPPED _loss/tests/test_link.py::test_link_inverse_array_api[42-LogLink-dpnp-cpu-float64] 1998impute/tests/test_impute.py::test_iterative_imputer_keep_empty_features[constant] 1999[gw5] [ 0%] SKIPPED datasets/tests/test_kddcup99.py::test_fetch_kddcup99_percent10[SA-100655-41-False] 2000[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[1-1-1-1-float32-float32-True-HalfTweedieLoss] loading 94,726 hidden lines…
96727linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[False-2]96728linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[False-2]96729linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[False-3]96730linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[False-3]96731 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_logistic.py:599: ConvergenceWarning: lbfgs failed to converge after 8 iteration(s) (status=1):96732 STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT96733 96734 Increase the number of iterations to improve the convergence (max_iter=8).96735 You might also want to scale the data as shown in:96736 https://scikit-learn.org/stable/modules/preprocessing.html96737 Please also refer to the documentation for alternative solver options:96738 https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression96739 n_iter_i = _check_optimize_result(9674096741linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-2]96742linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-2]96743linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-3]96744linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-3]96745 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_logistic.py:599: ConvergenceWarning: lbfgs failed to converge after 9 iteration(s) (status=1):96746 STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT96747 96748 Increase the number of iterations to improve the convergence (max_iter=9).96749 You might also want to scale the data as shown in:96750 https://scikit-learn.org/stable/modules/preprocessing.html96751 Please also refer to the documentation for alternative solver options:96752 https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression96753 n_iter_i = _check_optimize_result(9675496755linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-2]96756linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-2]96757linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-3]96758linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-3]96759 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_logistic.py:599: ConvergenceWarning: lbfgs failed to converge after 10 iteration(s) (status=1):96760 STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT96761 96762 Increase the number of iterations to improve the convergence (max_iter=10).96763 You might also want to scale the data as shown in:96764 https://scikit-learn.org/stable/modules/preprocessing.html96765 Please also refer to the documentation for alternative solver options:96766 https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression96767 n_iter_i = _check_optimize_result(9676896769linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-2]96770linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-2]96771linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-3]96772linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-3]96773 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_logistic.py:599: ConvergenceWarning: lbfgs failed to converge after 11 iteration(s) (status=1):96774 STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT96775 96776 Increase the number of iterations to improve the convergence (max_iter=11).96777 You might also want to scale the data as shown in:96778 https://scikit-learn.org/stable/modules/preprocessing.html96779 Please also refer to the documentation for alternative solver options:96780 https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression96781 n_iter_i = _check_optimize_result(9678296783linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-3]96784linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-3]96785 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_logistic.py:599: ConvergenceWarning: lbfgs failed to converge after 12 iteration(s) (status=1):96786 STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT96787 96788 Increase the number of iterations to improve the convergence (max_iter=12).96789 You might also want to scale the data as shown in:96790 https://scikit-learn.org/stable/modules/preprocessing.html96791 Please also refer to the documentation for alternative solver options:96792 https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression96793 n_iter_i = _check_optimize_result(9679496795linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-3]96796linear_model/tests/test_logistic.py::test_logistic_regression_callback_fitted_estimator[True-3]96797 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_logistic.py:599: ConvergenceWarning: lbfgs failed to converge after 13 iteration(s) (status=1):96798 STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT96799 96800 Increase the number of iterations to improve the convergence (max_iter=13).96801 You might also want to scale the data as shown in:96802 https://scikit-learn.org/stable/modules/preprocessing.html96803 Please also refer to the documentation for alternative solver options:96804 https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression96805 n_iter_i = _check_optimize_result(9680696807linear_model/tests/test_omp.py::test_unreachable_accuracy96808linear_model/tests/test_omp.py::test_unreachable_accuracy96809linear_model/tests/test_omp.py::test_omp_cv96810linear_model/tests/test_omp.py::test_omp_cv96811linear_model/tests/test_omp.py::test_omp_cv96812linear_model/tests/test_omp.py::test_omp_cv96813 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96814 out = _cholesky_omp(9681596816impute/tests/test_impute.py: 33 warnings96817 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/impute/_iterative.py:867: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.96818 warnings.warn(9681996820manifold/tests/test_isomap.py::test_transform[float64-2-None]96821 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96822 self._fit_transform(X)9682396824manifold/tests/test_isomap.py: 133 warnings96825tests/test_common.py: 18 warnings96826utils/tests/test_graph.py: 4 warnings96827utils/tests/test_validation.py: 15 warnings96828 /nix/store/y7bsm4y1633ghzrw8mz6rblwv5djw3ks-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.96829 self._set_intXint(row, col, x.flat[0])9683096831manifold/tests/test_isomap.py::test_pipeline[float64-2-None]96832 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96833 self._fit_transform(X)9683496835manifold/tests/test_isomap.py: 1 warning96836cluster/tests/test_dbscan.py: 10 warnings96837cluster/tests/test_optics.py: 2 warnings96838neighbors/tests/test_neighbors.py: 122 warnings96839utils/tests/test_estimator_checks.py: 21 warnings96840 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96841 warnings.warn(9684296843manifold/tests/test_isomap.py::test_get_feature_names_out96844 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96845 self._fit_transform(X)9684696847linear_model/tests/test_passive_aggressive.py: 12 warnings96848tests/test_multioutput.py: 1 warning96849linear_model/tests/test_common.py: 1 warning96850 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96851 warnings.warn(9685296853linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]96854 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-17.96855 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9685696857linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]96858 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-17.96859 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9686096861linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]96862 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-17.96863 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9686496865linear_model/tests/test_ridge.py: 57 warnings96866model_selection/tests/test_search.py: 10 warnings96867 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96868 warnings.warn(msg, UndefinedMetricWarning)9686996870linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]96871linear_model/tests/test_ridge.py::test_ridgecv_sample_weight96872linear_model/tests/test_ridge.py::test_ridgecv_sample_weight96873linear_model/tests/test_ridge.py::test_ridgecv_sample_weight96874linear_model/tests/test_ridge.py::test_ridgecv_sample_weight96875 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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]96876 warnings.warn(9687796878linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]96879 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-18.96880 return linalg.solve(A, Xy, assume_a="pos", overwrite_a=True).T9688196882cluster/tests/test_affinity_propagation.py::test_affinity_propagation_equal_points96883 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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).96884 warnings.warn(9688596886linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[True]96887linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[False]96888 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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):96889 STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT96890 96891 Increase the number of iterations to improve the convergence (max_iter=100).96892 You might also want to scale the data as shown in:96893 https://scikit-learn.org/stable/modules/preprocessing.html96894 self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)9689596896linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]96897model_selection/tests/test_search.py::test_search_with_2d_array96898 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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=3.96899 warnings.warn(9690096901linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]96902 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-17.96903 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9690496905linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]96906 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-17.96907 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9690896909impute/tests/test_impute.py::test_iterative_imputer_all_missing96910impute/tests/test_impute.py::test_iterative_imputer_all_missing96911 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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'.96912 warnings.warn(9691396914cluster/tests/test_birch.py::test_birch_predict[42-float64]96915 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96916 warnings.warn(9691796918decomposition/tests/test_dict_learning.py::test_dict_learning_online_shapes96919 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0796920 model = cd_fast.enet_coordinate_descent_gram(9692196922manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering96923manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering96924manifold/tests/test_spectral_embedding.py::test_pipeline_spectral_clustering96925cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering[42]96926cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering[42]96927 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96928 warnings.warn(9692996930decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_matrix]96931decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_matrix]96932decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array]96933decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array]96934 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/decomposition/_lda.py:921: RuntimeWarning: invalid value encountered in scalar divide96935 perword_bound = bound / word_cnt9693696937metrics/tests/test_common.py::test_no_averaging_labels96938metrics/tests/test_common.py::test_no_averaging_labels96939metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]96940metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]96941metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]96942metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]96943metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]96944metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]96945 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96946 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9694796948metrics/tests/test_common.py::test_no_averaging_labels96949metrics/tests/test_common.py::test_no_averaging_labels96950metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]96951metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]96952metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]96953metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]96954metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]96955metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]96956 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96957 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9695896959metrics/tests/test_common.py: 301 warnings96960tests/test_common.py: 28 warnings96961 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 cast96962 return x.astype(dtype=dtype, copy=copy)9696396964linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[42-wide-True-cholesky]96965 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-17.96966 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9696796968cluster/tests/test_hdbscan.py::test_hdbscan_usable_inputs[kwargs0-X0]96969 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96970 warn(9697196972metrics/tests/test_common.py: 28 warnings96973metrics/tests/test_score_objects.py: 4 warnings96974 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.96975 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9697696977decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd]96978decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd]96979decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd]96980decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]96981decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]96982 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0896983 model = cd_fast.enet_coordinate_descent_gram(9698496985decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd]96986decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd]96987decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd]96988 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0796989 model = cd_fast.enet_coordinate_descent_gram(9699096991decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd]96992decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd]96993decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd]96994 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0896995 model = cd_fast.enet_coordinate_descent_gram(9699696997decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd]96998decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd]96999decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd]97000 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897001 model = cd_fast.enet_coordinate_descent_gram(9700297003decomposition/tests/test_dict_learning.py: 14 warnings97004 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897005 model = cd_fast.enet_coordinate_descent_gram(9700697007linear_model/tests/test_ridge.py::test_regularization_limits_ridge[asarray-wide-True-cholesky-zero_alpha]97008 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-17.97009 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9701097011linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[42-True-1-1e-06]97012 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-1297013 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.97014 model = cd_fast.enet_coordinate_descent_gram(9701597016decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97017decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97018decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97019decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97020decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97021decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97022 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797023 model = cd_fast.enet_coordinate_descent_gram(9702497025decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97026decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97027decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97028decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97029decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97030decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97031 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797032 model = cd_fast.enet_coordinate_descent_gram(9703397034decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97035decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97036decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97037decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97038decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97039decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97040decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97041decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97042 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897043 model = cd_fast.enet_coordinate_descent_gram(9704497045decomposition/tests/test_dict_learning.py: 14 warnings97046 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797047 model = cd_fast.enet_coordinate_descent_gram(9704897049decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97050decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97051decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97052decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97053decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97054decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97055 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897056 model = cd_fast.enet_coordinate_descent_gram(9705797058decomposition/tests/test_dict_learning.py: 33 warnings97059 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797060 model = cd_fast.enet_coordinate_descent_gram(9706197062decomposition/tests/test_dict_learning.py: 20 warnings97063 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797064 model = cd_fast.enet_coordinate_descent_gram(9706597066decomposition/tests/test_dict_learning.py: 13 warnings97067 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897068 model = cd_fast.enet_coordinate_descent_gram(9706997070decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97071decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97072decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97073decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97074decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97075decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97076decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97077decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97078 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897079 model = cd_fast.enet_coordinate_descent_gram(9708097081decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97082decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97083decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97084decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97085decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97086decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97087decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97088decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97089 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897090 model = cd_fast.enet_coordinate_descent_gram(9709197092decomposition/tests/test_dict_learning.py: 21 warnings97093 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797094 model = cd_fast.enet_coordinate_descent_gram(9709597096decomposition/tests/test_dict_learning.py: 26 warnings97097 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897098 model = cd_fast.enet_coordinate_descent_gram(9709997100decomposition/tests/test_dict_learning.py: 34 warnings97101 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897102 model = cd_fast.enet_coordinate_descent_gram(9710397104decomposition/tests/test_dict_learning.py: 15 warnings97105 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797106 model = cd_fast.enet_coordinate_descent_gram(9710797108decomposition/tests/test_dict_learning.py: 19 warnings97109 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897110 model = cd_fast.enet_coordinate_descent_gram(9711197112decomposition/tests/test_dict_learning.py: 19 warnings97113 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897114 model = cd_fast.enet_coordinate_descent_gram(9711597116decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97117decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97118decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97119decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97120decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97121decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97122decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97123decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97124decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97125 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797126 model = cd_fast.enet_coordinate_descent_gram(9712797128decomposition/tests/test_dict_learning.py: 13 warnings97129 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897130 model = cd_fast.enet_coordinate_descent_gram(9713197132decomposition/tests/test_dict_learning.py: 23 warnings97133 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797134 model = cd_fast.enet_coordinate_descent_gram(9713597136decomposition/tests/test_dict_learning.py: 12 warnings97137 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897138 model = cd_fast.enet_coordinate_descent_gram(9713997140decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97141decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97142decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97143decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97144decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97145decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97146decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97147decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97148 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797149 model = cd_fast.enet_coordinate_descent_gram(9715097151decomposition/tests/test_dict_learning.py: 15 warnings97152 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797153 model = cd_fast.enet_coordinate_descent_gram(9715497155decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars]97156 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897157 model = cd_fast.enet_coordinate_descent_gram(9715897159decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars]97160decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97161decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97162 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797163 model = cd_fast.enet_coordinate_descent_gram(9716497165linear_model/tests/test_huber.py::test_huber_max_iter97166 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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):97167 STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT97168 97169 Increase the number of iterations to improve the convergence (max_iter=1).97170 You might also want to scale the data as shown in:97171 https://scikit-learn.org/stable/modules/preprocessing.html97172 self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)9717397174cluster/tests/test_hierarchical.py::test_affinity_passed_to_fix_connectivity97175 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97176 connectivity, n_connected_components = _fix_connectivity(9717797178decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-lars]97179decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-cd]97180decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-lars]97181decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-cd]97182 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897183 model = cd_fast.enet_coordinate_descent_gram(9718497185decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-lars]97186decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-cd]97187decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-lars]97188decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-cd]97189 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897190 model = cd_fast.enet_coordinate_descent_gram(9719197192decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97193decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97194decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97195decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97196decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97197decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97198 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797199 model = cd_fast.enet_coordinate_descent_gram(9720097201decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97202decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97203decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97204decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97205decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97206decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97207 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-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/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897217 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]97225decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97226 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797227 model = cd_fast.enet_coordinate_descent_gram(9722897229decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97230decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97231decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97232decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97233decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97234decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97235decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97236 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897237 model = cd_fast.enet_coordinate_descent_gram(9723897239decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97240decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97241decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97242decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97243decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97244decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97245decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97246 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897247 model = cd_fast.enet_coordinate_descent_gram(9724897249decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97250decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97251decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97252decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97253decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97254decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97255decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97256 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797257 model = cd_fast.enet_coordinate_descent_gram(9725897259decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97260decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97261decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97262decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97263decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97264decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97265decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97266decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97267 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797268 model = cd_fast.enet_coordinate_descent_gram(9726997270decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97271decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[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/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797275 model = cd_fast.enet_coordinate_descent_gram(9727697277decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97278decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97279decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97280 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797281 model = cd_fast.enet_coordinate_descent_gram(9728297283decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97284 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897285 model = cd_fast.enet_coordinate_descent_gram(9728697287decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97288 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897289 model = cd_fast.enet_coordinate_descent_gram(9729097291decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97292decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97293decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97294 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797295 model = cd_fast.enet_coordinate_descent_gram(9729697297decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97298 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897299 model = cd_fast.enet_coordinate_descent_gram(9730097301decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97302decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97303 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797304 model = cd_fast.enet_coordinate_descent_gram(9730597306decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97307decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97308 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797309 model = cd_fast.enet_coordinate_descent_gram(9731097311decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97312decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97313 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797314 model = cd_fast.enet_coordinate_descent_gram(9731597316feature_extraction/tests/test_text.py::test_vectorizer_pipeline_grid_selection97317 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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=5.97318 warnings.warn(9731997320linear_model/tests/test_ridge.py::test_regularization_limits_ridge_gcv[asarray-float32-wide-True-svd-zero_alpha]97321linear_model/tests/test_ridge.py::test_regularization_limits_ridge_gcv[asarray-float64-wide-True-svd-zero_alpha]97322 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_ridge.py:2165: RuntimeWarning: divide by zero encountered in divide97323 looe = alpha_c / alpha_d9732497325feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--CountVectorizer]97326feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--TfidfVectorizer]97327feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--HashingVectorizer]97328utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info0]97329utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info1]97330utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info2]97331 /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.97332 super().__init__(match=match, check=check)9733397334feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-CountVectorizer]97335feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-HashingVectorizer]97336feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer]97337feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer]97338 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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'97339 warnings.warn(9734097341linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence97342linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence97343linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence97344 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97345 warnings.warn(9734697347ensemble/tests/test_bagging.py::test_oob_score_classification97348ensemble/tests/test_bagging.py::test_oob_score_classification97349ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start97350 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_bagging.py:925: RuntimeWarning: invalid value encountered in divide97351 oob_decision_function = predictions / predictions.sum(axis=1)[:, np.newaxis]9735297353mixture/tests/test_gaussian_mixture.py::test_regularisation97354mixture/tests/test_gaussian_mixture.py::test_regularisation97355mixture/tests/test_gaussian_mixture.py::test_regularisation97356mixture/tests/test_gaussian_mixture.py::test_regularisation97357mixture/tests/test_gaussian_mixture.py::test_regularisation97358mixture/tests/test_gaussian_mixture.py::test_regularisation97359mixture/tests/test_gaussian_mixture.py::test_regularisation97360mixture/tests/test_gaussian_mixture.py::test_regularisation97361 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97362 return fit_method(estimator, *args, **kwargs)9736397364mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_setting_best_params97365mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator0]97366mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator1]97367 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97368 warnings.warn(9736997370neighbors/tests/test_neighbors.py: 185 warnings97371tests/test_common.py: 48 warnings97372 /nix/store/adzv2l2pzg6jnjikcj3fgghpbc1mhaj3-python3.14-numpy-2.5.3/lib/python3.14/site-packages/numpy/_core/numeric.py:475: RuntimeWarning: invalid value encountered in cast97373 multiarray.copyto(res, fill_value, casting='unsafe')9737497375ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-False-BaggingRegressor]97376ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-False-BaggingClassifier]97377ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-True-BaggingRegressor]97378ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-True-BaggingClassifier]97379ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-False-BaggingRegressor]97380ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-False-BaggingClassifier]97381ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-True-BaggingRegressor]97382ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-True-BaggingClassifier]97383 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97384 warn(9738597386ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start97387 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97388 warn(9738997390cluster/tests/test_spectral.py::test_spectral_clustering_np_matrix_raises97391 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97392 X = np.matrix([[0.0, 2.0], [2.0, 0.0]])9739397394metrics/tests/test_classification.py: 3 warnings97395metrics/tests/test_common.py: 9 warnings97396 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97397 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9739897399ensemble/tests/test_bagging.py: 9 warnings97400tree/tests/test_tree.py: 1 warning97401utils/tests/test_response.py: 1 warning97402 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_classes.py:1083: RuntimeWarning: divide by zero encountered in log97403 return np.log(proba)9740497405neighbors/tests/test_neighbors.py: 12 warnings97406 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_classification.py:878: RuntimeWarning: invalid value encountered in divide97407 proba_k /= normalizer9740897409decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97410 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0897411 model = cd_fast.enet_coordinate_descent_gram(9741297413decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97414 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797415 model = cd_fast.enet_coordinate_descent_gram(9741697417decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97418 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797419 model = cd_fast.enet_coordinate_descent_gram(9742097421decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97422 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797423 model = cd_fast.enet_coordinate_descent_gram(9742497425decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97426 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0797427 model = cd_fast.enet_coordinate_descent_gram(9742897429ensemble/tests/test_bagging.py::test_metadata_routing_with_dynamic_method_selection[ConsumingClassifierWithOnlyPredict-predict_log_proba-predict]97430 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_bagging.py:1123: RuntimeWarning: divide by zero encountered in log97431 log_proba = np.log(self.predict_proba(X, **params))9743297433feature_selection/tests/test_feature_select.py::test_invalid_k97434feature_selection/tests/test_feature_select.py::test_invalid_k97435 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_selection/_univariate_selection.py:110: UserWarning: Features [0] are constant.97436 warnings.warn("Features %s are constant." % constant_features_idx, UserWarning)9743797438feature_selection/tests/test_feature_select.py::test_invalid_k97439feature_selection/tests/test_feature_select.py::test_invalid_k97440feature_selection/tests/test_feature_select.py::test_f_classif_constant_feature97441 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_selection/_univariate_selection.py:111: RuntimeWarning: invalid value encountered in divide97442 f = msb / msw9744397444neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsClassifier]97445neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsClassifier]97446neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsRegressor]97447neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsRegressor]97448neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsClassifier]97449neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsClassifier]97450neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsRegressor]97451neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsRegressor]97452 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 force97453 warnings.warn("cannot use tree with sparse input: using brute force")9745497455ensemble/tests/test_common.py: 2 warnings97456feature_selection/tests/test_from_model.py: 4 warnings97457model_selection/tests/test_validation.py: 63 warnings97458tests/test_pipeline.py: 6 warnings97459utils/_repr_html/tests/test_estimator.py: 1 warning97460tests/test_multioutput.py: 1 warning97461 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_logistic.py:599: ConvergenceWarning: lbfgs failed to converge after 100 iteration(s) (status=1):97462 STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT97463 97464 Increase the number of iterations to improve the convergence (max_iter=100).97465 You might also want to scale the data as shown in:97466 https://scikit-learn.org/stable/modules/preprocessing.html97467 Please also refer to the documentation for alternative solver options:97468 https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression97469 n_iter_i = _check_optimize_result(9747097471feature_selection/tests/test_from_model.py: 4 warnings97472tests/test_common.py: 12 warnings97473 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97474 warnings.warn(9747597476neighbors/tests/test_lof.py::test_n_neighbors_attribute97477 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97478 warnings.warn(9747997480neighbors/tests/test_lof.py::test_hasattr_prediction97481neighbors/tests/test_lof.py::test_hasattr_prediction97482 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97483 warnings.warn(9748497485neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_n_features_in_after_fitting]97486 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97487 warnings.warn(9748897489neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]97490neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]97491 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97492 warnings.warn(9749397494preprocessing/tests/test_data.py::test_quantile_transform_and_inverse97495preprocessing/tests/test_data.py::test_one_to_one_features[QuantileTransformer]97496 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97497 warnings.warn(9749897499preprocessing/tests/test_data.py::test_quantile_transform_and_inverse97500 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97501 warnings.warn(9750297503preprocessing/tests/test_data.py::test_quantile_transform_nan97504 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97505 warnings.warn(9750697507preprocessing/tests/test_data.py::test_quantile_transform_nan97508 /nix/store/adzv2l2pzg6jnjikcj3fgghpbc1mhaj3-python3.14-numpy-2.5.3/lib/python3.14/site-packages/numpy/lib/_nanfunctions_impl.py:1593: RuntimeWarning: All-NaN slice encountered97509 return fnb._ureduce(a,9751097511neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]97512neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]97513 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97514 warnings.warn(9751597516covariance/tests/test_graphical_lasso.py: 20 warnings97517 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 array97518 warnings.warn(9751997520covariance/tests/test_graphical_lasso.py::test_graphical_lasso_cv[42]97521 /nix/store/adzv2l2pzg6jnjikcj3fgghpbc1mhaj3-python3.14-numpy-2.5.3/lib/python3.14/site-packages/numpy/_core/_methods.py:188: RuntimeWarning: invalid value encountered in subtract97522 x = um.subtract(arr, arrmean, out=...)9752397524metrics/tests/test_ranking.py::test_precision_recall_curve_drop_intermediate97525 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97526 warnings.warn(9752797528covariance/tests/test_robust_covariance.py::test_mcd[42]97529 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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).97530 warnings.warn(9753197532covariance/tests/test_robust_covariance.py::test_mcd[42]97533 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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).97534 warnings.warn(9753597536covariance/tests/test_robust_covariance.py::test_mcd_issue3367[42]97537 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 rank97538 warnings.warn(9753997540preprocessing/tests/test_data.py::test_transformer_inverse_transform_shape_error[QuantileTransformer]97541 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97542 warnings.warn(9754397544preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5]97545 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97546 warnings.warn(9754797548preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5]97549 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97550 warnings.warn(9755197552preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5]97553 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97554 warnings.warn(9755597556preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1-averaged_inverted_cdf]97557 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97558 return fit_method(estimator, *args, **kwargs)9755997560preprocessing/tests/test_discretization.py::test_kbinsdiscretizer_subsample_default97561preprocessing/tests/test_discretization.py::test_kbinsdiscretizer_subsample_default97562 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97563 warnings.warn(9756497565preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown[warn]97566preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn]97567preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn]97568 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97569 warnings.warn(msg, UserWarning)9757097571preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown_strings[warn]97572preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-warn]97573preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[numeric-warn]97574preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-warn]97575preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-none-warn]97576preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-nan-warn]97577preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-None-and-nan-warn]97578 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97579 warnings.warn(msg, UserWarning)9758097581metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score2-2-1]97582metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score5-2-1]97583metrics/tests/test_common.py::test_returned_value_consistency[top_k_accuracy_score]97584metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]97585metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]97586metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score]97587metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score]97588 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97589 warnings.warn(9759097591preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn]97592preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn]97593 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97594 warnings.warn(msg, UserWarning)9759597596preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0]97597preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0]97598preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3]97599preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3]97600preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6]97601preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6]97602preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8]97603preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8]97604 /nix/store/y7bsm4y1633ghzrw8mz6rblwv5djw3ks-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 inefficient97605 A = self._coo_container(arg1, dtype=dtype, shape=shape).todia()9760697607metrics/tests/test_common.py::test_returned_value_consistency[samples_recall_score]97608metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97609metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97610metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97611metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97612metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]97613metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_recall_score]97614 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97615 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9761697617metrics/tests/test_regression.py::test_multioutput_regression97618 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 divide97619 - np.abs(y_true[:, i] - y_pred[:, i]).sum()9762097621metrics/tests/test_regression.py::test_multioutput_regression97622metrics/tests/test_regression.py::test_multioutput_regression97623metrics/tests/test_regression.py::test_multioutput_regression97624metrics/tests/test_regression.py::test_regression_metrics_at_limits97625metrics/tests/test_regression.py::test_regression_metrics_at_limits97626metrics/tests/test_regression.py::test_regression_multioutput_array97627metrics/tests/test_regression.py::test_regression_multioutput_array97628metrics/tests/test_regression.py::test_regression_multioutput_array97629metrics/tests/test_regression.py::test_regression_multioutput_array97630 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_regression.py:956: RuntimeWarning: invalid value encountered in divide97631 output_scores = 1 - (numerator / denominator)9763297633metrics/tests/test_regression.py::test_multioutput_regression97634metrics/tests/test_regression.py::test_regression_metrics_at_limits97635metrics/tests/test_regression.py::test_regression_metrics_at_limits97636metrics/tests/test_regression.py::test_regression_multioutput_array97637 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_regression.py:956: RuntimeWarning: divide by zero encountered in divide97638 output_scores = 1 - (numerator / denominator)9763997640preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]97641preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]97642 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/extmath.py:1211: RuntimeWarning: invalid value encountered in divide97643 updated_mean = (last_sum + new_sum) / updated_sample_count9764497645preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]97646preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]97647 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/extmath.py:1216: RuntimeWarning: invalid value encountered in divide97648 T = new_sum / new_sample_count9764997650preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]97651preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]97652 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/extmath.py:1240: RuntimeWarning: invalid value encountered in divide97653 new_unnormalized_variance -= correction**2 / new_sample_count9765497655linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-0.001]97656linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-0.1]97657linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1]97658linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-10]97659linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-100]97660linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1000]97661linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1000000.0]97662 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97663 warnings.warn(9766497665metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params3-No samples of the positive class are present in `y_true`.]97666 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:2455: RuntimeWarning: invalid value encountered in scalar divide97667 positive_likelihood_ratio = pos_num / pos_denom9766897669metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params3-No samples of the positive class are present in `y_true`.]97670 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:2474: RuntimeWarning: invalid value encountered in scalar divide97671 negative_likelihood_ratio = neg_num / neg_denom9767297673metrics/tests/test_classification.py::test_likelihood_ratios97674metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_worst97675metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by0-1.0]97676metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by1-inf]97677metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by2-2.0]97678metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by3-nan]97679metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[nan-nan]97680 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 97681 return func(*args, **kwargs)9768297683metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_worst97684metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by0-1.0]97685metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by1-0.0]97686metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by2-0.5]97687metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by3-nan]97688metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[nan-nan]97689 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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()`.97690 return func(*args, **kwargs)9769197692metrics/tests/test_classification.py::test_cohen_kappa_undefined[0.0-test_case1]97693metrics/tests/test_classification.py::test_cohen_kappa_undefined[nan-test_case1]97694metrics/tests/test_classification.py::test_matthews_corrcoef[42]97695 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97696 warnings.warn(9769797698metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97699metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97700metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97701metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f0.5_score]97702metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f1_score]97703metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f2_score]97704metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f0.5_score]97705metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f1_score]97706metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f2_score]97707 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97708 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9770997710metrics/tests/test_score_objects.py: 3 warnings97711metrics/tests/test_common.py: 2 warnings97712tests/test_multioutput.py: 6 warnings97713 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97714 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9771597716neighbors/tests/test_nca.py::test_callback97717 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 LIMIT97718 warn(9771997720neighbors/tests/test_nearest_centroid.py::test_features_zero_var97721neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[array]97722neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_matrix]97723neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_array]97724 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97725 warnings.warn(9772697727metrics/tests/test_classification.py::test_brier_score_loss_invalid_inputs97728 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97729 warnings.warn(9773097731metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2]97732 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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_true97733 warnings.warn("y_pred contains classes not in y_true")9773497735metrics/tests/test_classification.py::test_classification_metric_pos_label_types[classes3-precision_recall_fscore_support]97736 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97737 warnings.warn(9773897739metrics/tests/test_common.py: 75 warnings97740 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97741 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9774297743metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]97744metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]97745metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]97746 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97747 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9774897749metrics/tests/test_common.py: 25 warnings97750 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97751 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9775297753metrics/tests/test_classification.py::test_d2_log_loss_score_label_order97754 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97755 warnings.warn(9775697757metrics/tests/test_common.py: 76 warnings97758 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97759 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9776097761metrics/tests/test_classification.py::test_d2_brier_score_with_labels97762metrics/tests/test_classification.py::test_d2_brier_score_with_labels97763 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97764 warnings.warn(9776597766metrics/tests/test_common.py: 25 warnings97767 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97768 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9776997770tests/test_build.py::test_extension_type_module97771 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97772 warnings.warn(9777397774feature_selection/tests/test_rfe.py: 48 warnings97775svm/tests/test_svm.py: 16 warnings97776tests/test_calibration.py: 16 warnings97777model_selection/tests/test_search.py: 30 warnings97778 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97779 warnings.warn(9778097781svm/tests/test_svm.py::test_svc_nonfinite_params[42]97782 /nix/store/adzv2l2pzg6jnjikcj3fgghpbc1mhaj3-python3.14-numpy-2.5.3/lib/python3.14/site-packages/numpy/_core/_methods.py:168: RuntimeWarning: overflow encountered in reduce97783 arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where)9778497785svm/tests/test_svm.py::test_consistent_decision_function[42]97786svm/tests/test_svm.py::test_consistent_decision_function[42]97787 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97788 warnings.warn(9778997790model_selection/tests/test_successive_halving.py: 1 warning97791model_selection/tests/test_search.py: 4 warnings97792tests/test_metaestimators_metadata_routing.py: 8 warnings97793 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97794 warnings.warn(9779597796model_selection/tests/test_successive_halving.py::test_input_errors[params1-Cannot use parameter a as the resource since it is part of-HalvingRandomSearchCV]97797 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97798 warnings.warn(9779997800model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97801model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97802model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97803model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97804 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97805 warnings.warn(9780697807model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97808model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97809model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]97810 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97811 warnings.warn(9781297813tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_one_label_sample_weights]97814 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/naive_bayes.py:537: RuntimeWarning: divide by zero encountered in log97815 jointi = xp.log(self.class_prior_[i])9781697817tests/test_common.py: 16 warnings97818 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/decomposition/_pca.py:584: RuntimeWarning: invalid value encountered in divide97819 explained_variance_ = (S**2) / (n_samples - 1)9782097821model_selection/tests/test_validation.py: 124 warnings97822 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 StratifiedKFold97823 warnings.warn(9782497825tests/test_calibration.py: 15 warnings97826 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97827 warnings.warn(9782897829tests/test_calibration.py::test_calibration_less_classes[False]97830tests/test_calibration.py::test_calibration_less_classes[False]97831 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 folds97832 warnings.warn(9783397834feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]97835 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97836 self.variances_ = np.nanvar(X, axis=0)9783797838feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]97839feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_matrix]97840feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_array]97841feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_matrix]97842feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_array]97843feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_matrix]97844feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_array]97845 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_selection/_variance_threshold.py:122: RuntimeWarning: All-NaN slice encountered97846 self.variances_ = np.nanmin(compare_arr, axis=0)9784797848gaussian_process/tests/test_gpc.py: 14 warnings97849 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97850 warnings.warn(9785197852tests/test_common.py: 23 warnings97853 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_bicluster.py:31: RuntimeWarning: divide by zero encountered in divide97854 row_diag = np.asarray(1.0 / np.sqrt(X.sum(axis=1))).squeeze()9785597856tests/test_common.py::test_estimators[SpectralCoclustering(n_clusters=2,n_init=2)-check_estimator_sparse_array]97857tests/test_common.py::test_estimators[SpectralCoclustering(n_clusters=2,n_init=2)-check_estimator_sparse_matrix]97858 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_bicluster.py:346: RuntimeWarning: invalid value encountered in multiply97859 z = np.vstack((row_diag[:, np.newaxis] * u, col_diag[:, np.newaxis] * v))9786097861model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape97862 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 folds97863 warnings.warn(9786497865model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape97866model_selection/tests/test_validation.py::test_cross_val_predict_class_subset97867model_selection/tests/test_validation.py::test_cross_val_predict_class_subset97868 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 folds97869 warnings.warn(9787097871tests/test_common.py::test_transformers_get_feature_names_out[FastICA(max_iter=5)]97872tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]97873tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]97874tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]97875tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]97876 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97877 warnings.warn(9787897879tests/test_common.py::test_transformers_get_feature_names_out[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]97880tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]97881tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]97882tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]97883tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]97884 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97885 warnings.warn(9788697887tests/test_common.py::test_transformers_get_feature_names_out[Isomap()]97888 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97889 self._fit_transform(X)9789097891tests/test_common.py::test_transformers_get_feature_names_out[Nystroem()]97892tests/test_common.py::test_set_output_transform[Nystroem()]97893tests/test_common.py::test_set_output_transform[Nystroem()]97894tests/test_common.py::test_set_output_transform[Nystroem()]97895tests/test_common.py::test_set_output_transform[Nystroem()]97896 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97897 n_components was set to n_samples, which results in inefficient evaluation of the full kernel.97898 warnings.warn(9789997900tests/test_common.py::test_transformers_get_feature_names_out[QuantileTransformer()]97901 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97902 warnings.warn(9790397904model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced97905model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced97906 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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=2.97907 warnings.warn(9790897909model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced97910 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 folds97911 warnings.warn(9791297913tests/test_common.py::test_check_inplace_ensure_writeable[QuantileTransformer()]97914 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97915 warnings.warn(9791697917model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]97918model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]97919model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]97920model_selection/tests/test_search.py::test_search_cv_sample_weight_equivalence[estimator1]97921model_selection/tests/test_search.py::test_search_cv_sample_weight_equivalence[estimator1]97922model_selection/tests/test_search.py::test_empty_cv_iterator_error97923model_selection/tests/test_search.py::test_random_search_bad_cv97924 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97925 warnings.warn(9792697927tests/test_common.py::test_check_inplace_ensure_writeable[AffinityPropagation(max_iter=5)]97928 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97929 warnings.warn(9793097931tests/test_common.py::test_set_output_transform[QuantileTransformer()]97932tests/test_common.py::test_set_output_transform[QuantileTransformer()]97933tests/test_common.py::test_set_output_transform[QuantileTransformer()]97934tests/test_common.py::test_set_output_transform[QuantileTransformer()]97935 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97936 warnings.warn(9793797938tests/test_metaestimators.py::test_meta_estimators_delegate_data_validation[HalvingRandomSearchCV0]97939tests/test_metaestimators.py::test_meta_estimators_delegate_data_validation[HalvingRandomSearchCV2]97940 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97941 warnings.warn(9794297943model_selection/tests/test_validation.py: 15 warnings97944model_selection/tests/test_search.py: 1 warning97945 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 log97946 return np.log(self.predict_proba(X))9794797948tests/test_naive_bayes.py::test_alpha_vector97949tests/test_naive_bayes.py::test_alpha_vector97950 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97951 warnings.warn(9795297953tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]97954tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]97955tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_splitter[HalvingRandomSearchCV]97956tests/test_metaestimators_metadata_routing.py::test_non_consuming_estimator_works[HalvingRandomSearchCV]97957tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]97958tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]97959 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97960 warnings.warn(9796197962model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97963model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97964model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97965model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97966model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97967model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97968 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97969 warnings.warn(9797097971tests/test_multiclass.py::test_constant_int_target[ones]97972 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97973 warnings.warn(9797497975tests/test_multiclass.py::test_constant_int_target[zeros]97976 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.97977 warnings.warn(9797897979model_selection/tests/test_search.py: 10 warnings97980 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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: 97981 Traceback (most recent call last):97982 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score97983 scores = scorer(estimator, X_test, y_test, **score_params)97984 TypeError: test_unsupported_sample_weight_scorer.<locals>.fake_score_func() takes 2 positional arguments but 3 were given97985 97986 warnings.warn(9798797988model_selection/tests/test_search.py::test_unsupported_sample_weight_scorer97989model_selection/tests/test_search.py::test_search_cv_results_none_param97990 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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]97991 warnings.warn(9799297993tests/test_metaestimators.py: 1 warning97994tests/test_metaestimators_metadata_routing.py: 30 warnings97995 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/semi_supervised/_self_training.py:244: UserWarning: y contains no unlabeled samples97996 warnings.warn("y contains no unlabeled samples", UserWarning)9799797998ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]97999ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]98000ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]98001ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]98002 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.98003 warn(9800498005model_selection/tests/test_search.py::test_grid_search_failing_classifier98006 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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]98007 warnings.warn(9800898009ensemble/tests/test_forest.py::test_oob_not_computed_twice[ExtraTreesClassifier]98010 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.98011 warn(9801298013tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98014 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398015 model = cd_fast.enet_coordinate_descent_gram(9801698017tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98018 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398019 model = cd_fast.enet_coordinate_descent_gram(9802098021tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98022 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398023 model = cd_fast.enet_coordinate_descent_gram(9802498025tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98026 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398027 model = cd_fast.enet_coordinate_descent_gram(9802898029tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98030 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398031 model = cd_fast.enet_coordinate_descent_gram(9803298033tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98034 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398035 model = cd_fast.enet_coordinate_descent_gram(9803698037tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98038 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398039 model = cd_fast.enet_coordinate_descent_gram(9804098041tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98042 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398043 model = cd_fast.enet_coordinate_descent_gram(9804498045tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98046 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398047 model = cd_fast.enet_coordinate_descent_gram(9804898049tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98050 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398051 model = cd_fast.enet_coordinate_descent_gram(9805298053tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98054 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398055 model = cd_fast.enet_coordinate_descent_gram(9805698057tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98058 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398059 model = cd_fast.enet_coordinate_descent_gram(9806098061tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98062 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398063 model = cd_fast.enet_coordinate_descent_gram(9806498065tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98066 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398067 model = cd_fast.enet_coordinate_descent_gram(9806898069tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98070 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398071 model = cd_fast.enet_coordinate_descent_gram(9807298073tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98074 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398075 model = cd_fast.enet_coordinate_descent_gram(9807698077tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98078 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398079 model = cd_fast.enet_coordinate_descent_gram(9808098081tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98082 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398083 model = cd_fast.enet_coordinate_descent_gram(9808498085tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98086 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398087 model = cd_fast.enet_coordinate_descent_gram(9808898089tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98090 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398091 model = cd_fast.enet_coordinate_descent_gram(9809298093tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98094 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398095 model = cd_fast.enet_coordinate_descent_gram(9809698097tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98098 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398099 model = cd_fast.enet_coordinate_descent_gram(9810098101tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98102 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398103 model = cd_fast.enet_coordinate_descent_gram(9810498105tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98106 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398107 model = cd_fast.enet_coordinate_descent_gram(9810898109tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98110 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398111 model = cd_fast.enet_coordinate_descent_gram(9811298113tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98114 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398115 model = cd_fast.enet_coordinate_descent_gram(9811698117tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98118 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398119 model = cd_fast.enet_coordinate_descent_gram(9812098121tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98122 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398123 model = cd_fast.enet_coordinate_descent_gram(9812498125tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98126 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398127 model = cd_fast.enet_coordinate_descent_gram(9812898129tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98130 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398131 model = cd_fast.enet_coordinate_descent_gram(9813298133tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98134 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398135 model = cd_fast.enet_coordinate_descent_gram(9813698137tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98138 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398139 model = cd_fast.enet_coordinate_descent_gram(9814098141tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98142 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398143 model = cd_fast.enet_coordinate_descent_gram(9814498145tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98146 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398147 model = cd_fast.enet_coordinate_descent_gram(9814898149tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98150 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398151 model = cd_fast.enet_coordinate_descent_gram(9815298153tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98154 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398155 model = cd_fast.enet_coordinate_descent_gram(9815698157tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98158 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398159 model = cd_fast.enet_coordinate_descent_gram(9816098161tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98162 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398163 model = cd_fast.enet_coordinate_descent_gram(9816498165tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98166 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398167 model = cd_fast.enet_coordinate_descent_gram(9816898169tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98170 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398171 model = cd_fast.enet_coordinate_descent_gram(9817298173tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98174 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398175 model = cd_fast.enet_coordinate_descent_gram(9817698177tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98178 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398179 model = cd_fast.enet_coordinate_descent_gram(9818098181tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98182 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398183 model = cd_fast.enet_coordinate_descent_gram(9818498185tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98186 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398187 model = cd_fast.enet_coordinate_descent_gram(9818898189tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98190 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398191 model = cd_fast.enet_coordinate_descent_gram(9819298193tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98194 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398195 model = cd_fast.enet_coordinate_descent_gram(9819698197tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98198 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398199 model = cd_fast.enet_coordinate_descent_gram(9820098201tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98202 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398203 model = cd_fast.enet_coordinate_descent_gram(9820498205tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98206 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398207 model = cd_fast.enet_coordinate_descent_gram(9820898209tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98210 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398211 model = cd_fast.enet_coordinate_descent_gram(9821298213tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98214 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398215 model = cd_fast.enet_coordinate_descent_gram(9821698217tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98218 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398219 model = cd_fast.enet_coordinate_descent_gram(9822098221tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98222 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398223 model = cd_fast.enet_coordinate_descent_gram(9822498225tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98226 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398227 model = cd_fast.enet_coordinate_descent_gram(9822898229tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98230 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398231 model = cd_fast.enet_coordinate_descent_gram(9823298233tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98234 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398235 model = cd_fast.enet_coordinate_descent_gram(9823698237tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98238 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398239 model = cd_fast.enet_coordinate_descent_gram(9824098241tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98242 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398243 model = cd_fast.enet_coordinate_descent_gram(9824498245tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98246 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398247 model = cd_fast.enet_coordinate_descent_gram(9824898249tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98250 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398251 model = cd_fast.enet_coordinate_descent_gram(9825298253tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98254 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398255 model = cd_fast.enet_coordinate_descent_gram(9825698257tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98258 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398259 model = cd_fast.enet_coordinate_descent_gram(9826098261tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98262 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398263 model = cd_fast.enet_coordinate_descent_gram(9826498265tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98266 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398267 model = cd_fast.enet_coordinate_descent_gram(9826898269tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98270 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398271 model = cd_fast.enet_coordinate_descent_gram(9827298273tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98274 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398275 model = cd_fast.enet_coordinate_descent_gram(9827698277tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98278 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398279 model = cd_fast.enet_coordinate_descent_gram(9828098281tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98282 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398283 model = cd_fast.enet_coordinate_descent_gram(9828498285tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98286 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398287 model = cd_fast.enet_coordinate_descent_gram(9828898289tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98290 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398291 model = cd_fast.enet_coordinate_descent_gram(9829298293tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98294 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398295 model = cd_fast.enet_coordinate_descent_gram(9829698297tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98298 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398299 model = cd_fast.enet_coordinate_descent_gram(9830098301tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98302 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398303 model = cd_fast.enet_coordinate_descent_gram(9830498305tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98306 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398307 model = cd_fast.enet_coordinate_descent_gram(9830898309tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98310 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398311 model = cd_fast.enet_coordinate_descent_gram(9831298313tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98314 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398315 model = cd_fast.enet_coordinate_descent_gram(9831698317tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98318 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398319 model = cd_fast.enet_coordinate_descent_gram(9832098321tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98322 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398323 model = cd_fast.enet_coordinate_descent_gram(9832498325tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98326 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398327 model = cd_fast.enet_coordinate_descent_gram(9832898329tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98330 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398331 model = cd_fast.enet_coordinate_descent_gram(9833298333tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98334 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398335 model = cd_fast.enet_coordinate_descent_gram(9833698337tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98338 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398339 model = cd_fast.enet_coordinate_descent_gram(9834098341tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98342 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398343 model = cd_fast.enet_coordinate_descent_gram(9834498345tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98346 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398347 model = cd_fast.enet_coordinate_descent_gram(9834898349tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98350 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398351 model = cd_fast.enet_coordinate_descent_gram(9835298353tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98354 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398355 model = cd_fast.enet_coordinate_descent_gram(9835698357tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98358 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398359 model = cd_fast.enet_coordinate_descent_gram(9836098361tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98362 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398363 model = cd_fast.enet_coordinate_descent_gram(9836498365tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98366 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398367 model = cd_fast.enet_coordinate_descent_gram(9836898369tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98370 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398371 model = cd_fast.enet_coordinate_descent_gram(9837298373tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98374 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398375 model = cd_fast.enet_coordinate_descent_gram(9837698377tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98378 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398379 model = cd_fast.enet_coordinate_descent_gram(9838098381tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98382 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398383 model = cd_fast.enet_coordinate_descent_gram(9838498385tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98386 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398387 model = cd_fast.enet_coordinate_descent_gram(9838898389tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98390 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398391 model = cd_fast.enet_coordinate_descent_gram(9839298393tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98394 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398395 model = cd_fast.enet_coordinate_descent_gram(9839698397tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98398 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398399 model = cd_fast.enet_coordinate_descent_gram(9840098401tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98402 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398403 model = cd_fast.enet_coordinate_descent_gram(9840498405tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98406 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398407 model = cd_fast.enet_coordinate_descent_gram(9840898409tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98410 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398411 model = cd_fast.enet_coordinate_descent_gram(9841298413tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98414 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398415 model = cd_fast.enet_coordinate_descent_gram(9841698417tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98418 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398419 model = cd_fast.enet_coordinate_descent_gram(9842098421tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98422 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398423 model = cd_fast.enet_coordinate_descent_gram(9842498425tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98426 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398427 model = cd_fast.enet_coordinate_descent_gram(9842898429tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98430 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398431 model = cd_fast.enet_coordinate_descent_gram(9843298433tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98434 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398435 model = cd_fast.enet_coordinate_descent_gram(9843698437tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98438 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398439 model = cd_fast.enet_coordinate_descent_gram(9844098441tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98442 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398443 model = cd_fast.enet_coordinate_descent_gram(9844498445tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98446 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398447 model = cd_fast.enet_coordinate_descent_gram(9844898449tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98450 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398451 model = cd_fast.enet_coordinate_descent_gram(9845298453tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98454 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398455 model = cd_fast.enet_coordinate_descent_gram(9845698457tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98458 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398459 model = cd_fast.enet_coordinate_descent_gram(9846098461tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98462 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398463 model = cd_fast.enet_coordinate_descent_gram(9846498465tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98466 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398467 model = cd_fast.enet_coordinate_descent_gram(9846898469tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98470 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398471 model = cd_fast.enet_coordinate_descent_gram(9847298473tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98474 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398475 model = cd_fast.enet_coordinate_descent_gram(9847698477tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98478 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398479 model = cd_fast.enet_coordinate_descent_gram(9848098481tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98482 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398483 model = cd_fast.enet_coordinate_descent_gram(9848498485tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98486 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398487 model = cd_fast.enet_coordinate_descent_gram(9848898489tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98490 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398491 model = cd_fast.enet_coordinate_descent_gram(9849298493tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98494 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398495 model = cd_fast.enet_coordinate_descent_gram(9849698497tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98498 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398499 model = cd_fast.enet_coordinate_descent_gram(9850098501tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98502 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398503 model = cd_fast.enet_coordinate_descent_gram(9850498505tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98506 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398507 model = cd_fast.enet_coordinate_descent_gram(9850898509tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98510 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398511 model = cd_fast.enet_coordinate_descent_gram(9851298513tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98514 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398515 model = cd_fast.enet_coordinate_descent_gram(9851698517tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98518 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398519 model = cd_fast.enet_coordinate_descent_gram(9852098521tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98522 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398523 model = cd_fast.enet_coordinate_descent_gram(9852498525tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98526 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398527 model = cd_fast.enet_coordinate_descent_gram(9852898529tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98530 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398531 model = cd_fast.enet_coordinate_descent_gram(9853298533tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98534 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398535 model = cd_fast.enet_coordinate_descent_gram(9853698537tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98538 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398539 model = cd_fast.enet_coordinate_descent_gram(9854098541tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98542 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398543 model = cd_fast.enet_coordinate_descent_gram(9854498545tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98546 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398547 model = cd_fast.enet_coordinate_descent_gram(9854898549tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98550 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398551 model = cd_fast.enet_coordinate_descent_gram(9855298553tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98554 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398555 model = cd_fast.enet_coordinate_descent_gram(9855698557tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98558 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398559 model = cd_fast.enet_coordinate_descent_gram(9856098561tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98562 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398563 model = cd_fast.enet_coordinate_descent_gram(9856498565tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98566 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398567 model = cd_fast.enet_coordinate_descent_gram(9856898569tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98570 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398571 model = cd_fast.enet_coordinate_descent_gram(9857298573tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98574 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398575 model = cd_fast.enet_coordinate_descent_gram(9857698577tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98578 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398579 model = cd_fast.enet_coordinate_descent_gram(9858098581tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98582 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398583 model = cd_fast.enet_coordinate_descent_gram(9858498585tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98586 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398587 model = cd_fast.enet_coordinate_descent_gram(9858898589tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98590 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398591 model = cd_fast.enet_coordinate_descent_gram(9859298593tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98594 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398595 model = cd_fast.enet_coordinate_descent_gram(9859698597tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98598 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398599 model = cd_fast.enet_coordinate_descent_gram(9860098601tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98602 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398603 model = cd_fast.enet_coordinate_descent_gram(9860498605tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98606 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398607 model = cd_fast.enet_coordinate_descent_gram(9860898609tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98610 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398611 model = cd_fast.enet_coordinate_descent_gram(9861298613tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98614 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398615 model = cd_fast.enet_coordinate_descent_gram(9861698617tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98618 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398619 model = cd_fast.enet_coordinate_descent_gram(9862098621tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98622 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398623 model = cd_fast.enet_coordinate_descent_gram(9862498625tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98626 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398627 model = cd_fast.enet_coordinate_descent_gram(9862898629tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98630 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398631 model = cd_fast.enet_coordinate_descent_gram(9863298633tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98634 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398635 model = cd_fast.enet_coordinate_descent_gram(9863698637tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98638 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398639 model = cd_fast.enet_coordinate_descent_gram(9864098641tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98642 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398643 model = cd_fast.enet_coordinate_descent_gram(9864498645tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98646 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398647 model = cd_fast.enet_coordinate_descent_gram(9864898649tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98650 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398651 model = cd_fast.enet_coordinate_descent_gram(9865298653tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98654 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398655 model = cd_fast.enet_coordinate_descent_gram(9865698657tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98658 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398659 model = cd_fast.enet_coordinate_descent_gram(9866098661tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98662 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398663 model = cd_fast.enet_coordinate_descent_gram(9866498665tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98666 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398667 model = cd_fast.enet_coordinate_descent_gram(9866898669tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98670 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398671 model = cd_fast.enet_coordinate_descent_gram(9867298673tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98674 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398675 model = cd_fast.enet_coordinate_descent_gram(9867698677tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98678 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398679 model = cd_fast.enet_coordinate_descent_gram(9868098681tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98682 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398683 model = cd_fast.enet_coordinate_descent_gram(9868498685tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98686 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398687 model = cd_fast.enet_coordinate_descent_gram(9868898689tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98690 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398691 model = cd_fast.enet_coordinate_descent_gram(9869298693tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98694 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398695 model = cd_fast.enet_coordinate_descent_gram(9869698697tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98698 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398699 model = cd_fast.enet_coordinate_descent_gram(9870098701tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98702 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398703 model = cd_fast.enet_coordinate_descent_gram(9870498705tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98706 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398707 model = cd_fast.enet_coordinate_descent_gram(9870898709tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98710 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398711 model = cd_fast.enet_coordinate_descent_multi_task(9871298713tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98714 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398715 model = cd_fast.enet_coordinate_descent_multi_task(9871698717tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98718 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398719 model = cd_fast.enet_coordinate_descent_multi_task(9872098721tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98722 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398723 model = cd_fast.enet_coordinate_descent_multi_task(9872498725tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98726 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398727 model = cd_fast.enet_coordinate_descent_multi_task(9872898729tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98730 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398731 model = cd_fast.enet_coordinate_descent_multi_task(9873298733tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98734 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398735 model = cd_fast.enet_coordinate_descent_multi_task(9873698737tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98738 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398739 model = cd_fast.enet_coordinate_descent_multi_task(9874098741tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98742 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398743 model = cd_fast.enet_coordinate_descent_multi_task(9874498745tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98746 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398747 model = cd_fast.enet_coordinate_descent_multi_task(9874898749tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98750 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398751 model = cd_fast.enet_coordinate_descent_multi_task(9875298753tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98754 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398755 model = cd_fast.enet_coordinate_descent_multi_task(9875698757tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98758 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398759 model = cd_fast.enet_coordinate_descent_multi_task(9876098761tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98762 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398763 model = cd_fast.enet_coordinate_descent_multi_task(9876498765tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98766 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398767 model = cd_fast.enet_coordinate_descent_multi_task(9876898769tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98770 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398771 model = cd_fast.enet_coordinate_descent_multi_task(9877298773tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98774 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398775 model = cd_fast.enet_coordinate_descent_multi_task(9877698777tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98778 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398779 model = cd_fast.enet_coordinate_descent_multi_task(9878098781tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98782 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398783 model = cd_fast.enet_coordinate_descent_multi_task(9878498785tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98786 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398787 model = cd_fast.enet_coordinate_descent_multi_task(9878898789tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98790 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398791 model = cd_fast.enet_coordinate_descent_multi_task(9879298793tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98794 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398795 model = cd_fast.enet_coordinate_descent_multi_task(9879698797tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98798 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398799 model = cd_fast.enet_coordinate_descent_multi_task(9880098801tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98802 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398803 model = cd_fast.enet_coordinate_descent_multi_task(9880498805tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98806 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398807 model = cd_fast.enet_coordinate_descent_multi_task(9880898809tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98810 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398811 model = cd_fast.enet_coordinate_descent_multi_task(9881298813tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98814 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398815 model = cd_fast.enet_coordinate_descent_multi_task(9881698817tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98818 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398819 model = cd_fast.enet_coordinate_descent_multi_task(9882098821tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98822 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398823 model = cd_fast.enet_coordinate_descent_multi_task(9882498825tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98826 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398827 model = cd_fast.enet_coordinate_descent_multi_task(9882898829tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98830 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398831 model = cd_fast.enet_coordinate_descent_multi_task(9883298833tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98834 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398835 model = cd_fast.enet_coordinate_descent_multi_task(9883698837tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98838 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398839 model = cd_fast.enet_coordinate_descent_multi_task(9884098841tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98842 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398843 model = cd_fast.enet_coordinate_descent_multi_task(9884498845tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98846 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398847 model = cd_fast.enet_coordinate_descent_multi_task(9884898849tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98850 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398851 model = cd_fast.enet_coordinate_descent_multi_task(9885298853tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98854 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398855 model = cd_fast.enet_coordinate_descent_multi_task(9885698857tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98858 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398859 model = cd_fast.enet_coordinate_descent_multi_task(9886098861tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98862 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398863 model = cd_fast.enet_coordinate_descent_multi_task(9886498865tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98866 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398867 model = cd_fast.enet_coordinate_descent_multi_task(9886898869tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98870 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398871 model = cd_fast.enet_coordinate_descent_multi_task(9887298873tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98874 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398875 model = cd_fast.enet_coordinate_descent_multi_task(9887698877tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98878 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398879 model = cd_fast.enet_coordinate_descent_multi_task(9888098881tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98882 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398883 model = cd_fast.enet_coordinate_descent_multi_task(9888498885tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98886 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398887 model = cd_fast.enet_coordinate_descent_multi_task(9888898889tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98890 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398891 model = cd_fast.enet_coordinate_descent_multi_task(9889298893tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98894 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398895 model = cd_fast.enet_coordinate_descent_multi_task(9889698897tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98898 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398899 model = cd_fast.enet_coordinate_descent_multi_task(9890098901tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98902 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398903 model = cd_fast.enet_coordinate_descent_multi_task(9890498905tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98906 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398907 model = cd_fast.enet_coordinate_descent_multi_task(9890898909tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98910 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398911 model = cd_fast.enet_coordinate_descent_multi_task(9891298913tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98914 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398915 model = cd_fast.enet_coordinate_descent_multi_task(9891698917tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98918 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398919 model = cd_fast.enet_coordinate_descent_multi_task(9892098921tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98922 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398923 model = cd_fast.enet_coordinate_descent_multi_task(9892498925tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98926 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398927 model = cd_fast.enet_coordinate_descent_multi_task(9892898929tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98930 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398931 model = cd_fast.enet_coordinate_descent_multi_task(9893298933tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98934 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398935 model = cd_fast.enet_coordinate_descent_multi_task(9893698937tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98938 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398939 model = cd_fast.enet_coordinate_descent_multi_task(9894098941tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98942 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398943 model = cd_fast.enet_coordinate_descent_multi_task(9894498945tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98946 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398947 model = cd_fast.enet_coordinate_descent_multi_task(9894898949tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98950 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398951 model = cd_fast.enet_coordinate_descent_multi_task(9895298953tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98954 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398955 model = cd_fast.enet_coordinate_descent_multi_task(9895698957tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98958 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398959 model = cd_fast.enet_coordinate_descent_multi_task(9896098961tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98962 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398963 model = cd_fast.enet_coordinate_descent_multi_task(9896498965tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98966 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398967 model = cd_fast.enet_coordinate_descent_multi_task(9896898969tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98970 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398971 model = cd_fast.enet_coordinate_descent_multi_task(9897298973tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98974 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398975 model = cd_fast.enet_coordinate_descent_multi_task(9897698977tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98978 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398979 model = cd_fast.enet_coordinate_descent_multi_task(9898098981tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98982 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398983 model = cd_fast.enet_coordinate_descent_multi_task(9898498985tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98986 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398987 model = cd_fast.enet_coordinate_descent_multi_task(9898898989tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98990 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398991 model = cd_fast.enet_coordinate_descent_multi_task(9899298993tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98994 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398995 model = cd_fast.enet_coordinate_descent_multi_task(9899698997tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]98998 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0398999 model = cd_fast.enet_coordinate_descent_multi_task(9900099001tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99002 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399003 model = cd_fast.enet_coordinate_descent_multi_task(9900499005tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99006 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399007 model = cd_fast.enet_coordinate_descent_multi_task(9900899009tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99010 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399011 model = cd_fast.enet_coordinate_descent_multi_task(9901299013tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99014 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399015 model = cd_fast.enet_coordinate_descent_multi_task(9901699017tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99018 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399019 model = cd_fast.enet_coordinate_descent_multi_task(9902099021tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99022 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399023 model = cd_fast.enet_coordinate_descent_multi_task(9902499025tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99026 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399027 model = cd_fast.enet_coordinate_descent_multi_task(9902899029tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99030 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399031 model = cd_fast.enet_coordinate_descent_multi_task(9903299033tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99034 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399035 model = cd_fast.enet_coordinate_descent_multi_task(9903699037tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99038 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399039 model = cd_fast.enet_coordinate_descent_multi_task(9904099041tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99042 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399043 model = cd_fast.enet_coordinate_descent_multi_task(9904499045tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99046 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399047 model = cd_fast.enet_coordinate_descent_multi_task(9904899049tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99050 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399051 model = cd_fast.enet_coordinate_descent_multi_task(9905299053tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99054 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399055 model = cd_fast.enet_coordinate_descent_multi_task(9905699057tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99058 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399059 model = cd_fast.enet_coordinate_descent_multi_task(9906099061tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99062 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399063 model = cd_fast.enet_coordinate_descent_multi_task(9906499065tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99066 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399067 model = cd_fast.enet_coordinate_descent_multi_task(9906899069tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99070 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399071 model = cd_fast.enet_coordinate_descent_multi_task(9907299073tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99074 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399075 model = cd_fast.enet_coordinate_descent_multi_task(9907699077tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99078 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399079 model = cd_fast.enet_coordinate_descent_multi_task(9908099081tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99082 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399083 model = cd_fast.enet_coordinate_descent_multi_task(9908499085tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99086 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399087 model = cd_fast.enet_coordinate_descent_multi_task(9908899089tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99090 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399091 model = cd_fast.enet_coordinate_descent_multi_task(9909299093tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99094 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399095 model = cd_fast.enet_coordinate_descent_multi_task(9909699097tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99098 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399099 model = cd_fast.enet_coordinate_descent_multi_task(9910099101tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99102 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399103 model = cd_fast.enet_coordinate_descent_multi_task(9910499105tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99106 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399107 model = cd_fast.enet_coordinate_descent_multi_task(9910899109tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99110 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399111 model = cd_fast.enet_coordinate_descent_multi_task(9911299113tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99114 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399115 model = cd_fast.enet_coordinate_descent_multi_task(9911699117tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99118 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399119 model = cd_fast.enet_coordinate_descent_multi_task(9912099121tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99122 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399123 model = cd_fast.enet_coordinate_descent_multi_task(9912499125tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99126 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399127 model = cd_fast.enet_coordinate_descent_multi_task(9912899129tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99130 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399131 model = cd_fast.enet_coordinate_descent_multi_task(9913299133tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99134 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399135 model = cd_fast.enet_coordinate_descent_multi_task(9913699137tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99138 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399139 model = cd_fast.enet_coordinate_descent_multi_task(9914099141tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99142 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399143 model = cd_fast.enet_coordinate_descent_multi_task(9914499145tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99146 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399147 model = cd_fast.enet_coordinate_descent_multi_task(9914899149tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99150 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399151 model = cd_fast.enet_coordinate_descent_multi_task(9915299153tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99154 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399155 model = cd_fast.enet_coordinate_descent_multi_task(9915699157tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99158 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399159 model = cd_fast.enet_coordinate_descent_multi_task(9916099161tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99162 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399163 model = cd_fast.enet_coordinate_descent_multi_task(9916499165tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99166 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399167 model = cd_fast.enet_coordinate_descent_multi_task(9916899169tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99170 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399171 model = cd_fast.enet_coordinate_descent_multi_task(9917299173tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99174 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399175 model = cd_fast.enet_coordinate_descent_multi_task(9917699177tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99178 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399179 model = cd_fast.enet_coordinate_descent_multi_task(9918099181tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99182 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399183 model = cd_fast.enet_coordinate_descent_multi_task(9918499185tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99186 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399187 model = cd_fast.enet_coordinate_descent_multi_task(9918899189tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99190 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399191 model = cd_fast.enet_coordinate_descent_multi_task(9919299193tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99194 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399195 model = cd_fast.enet_coordinate_descent_multi_task(9919699197tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99198 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399199 model = cd_fast.enet_coordinate_descent_multi_task(9920099201tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99202 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399203 model = cd_fast.enet_coordinate_descent_multi_task(9920499205tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99206 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399207 model = cd_fast.enet_coordinate_descent_multi_task(9920899209tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99210 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399211 model = cd_fast.enet_coordinate_descent_multi_task(9921299213tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99214 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399215 model = cd_fast.enet_coordinate_descent_multi_task(9921699217tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99218 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399219 model = cd_fast.enet_coordinate_descent_multi_task(9922099221tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99222 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399223 model = cd_fast.enet_coordinate_descent_multi_task(9922499225tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99226 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399227 model = cd_fast.enet_coordinate_descent_multi_task(9922899229tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99230 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399231 model = cd_fast.enet_coordinate_descent_multi_task(9923299233tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99234 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399235 model = cd_fast.enet_coordinate_descent_multi_task(9923699237tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99238 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399239 model = cd_fast.enet_coordinate_descent_multi_task(9924099241tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99242 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399243 model = cd_fast.enet_coordinate_descent_multi_task(9924499245tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99246 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399247 model = cd_fast.enet_coordinate_descent_multi_task(9924899249tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99250 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399251 model = cd_fast.enet_coordinate_descent_multi_task(9925299253tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99254 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399255 model = cd_fast.enet_coordinate_descent_multi_task(9925699257tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99258 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399259 model = cd_fast.enet_coordinate_descent_multi_task(9926099261tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99262 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399263 model = cd_fast.enet_coordinate_descent_multi_task(9926499265tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99266 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399267 model = cd_fast.enet_coordinate_descent_multi_task(9926899269tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99270 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399271 model = cd_fast.enet_coordinate_descent_multi_task(9927299273tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99274 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399275 model = cd_fast.enet_coordinate_descent_multi_task(9927699277tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99278 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399279 model = cd_fast.enet_coordinate_descent_multi_task(9928099281tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99282 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399283 model = cd_fast.enet_coordinate_descent_multi_task(9928499285tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99286 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399287 model = cd_fast.enet_coordinate_descent_multi_task(9928899289tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99290 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399291 model = cd_fast.enet_coordinate_descent_multi_task(9929299293tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99294 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399295 model = cd_fast.enet_coordinate_descent_multi_task(9929699297tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99298 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399299 model = cd_fast.enet_coordinate_descent_multi_task(9930099301tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99302 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399303 model = cd_fast.enet_coordinate_descent_multi_task(9930499305tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99306 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399307 model = cd_fast.enet_coordinate_descent_multi_task(9930899309tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99310 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399311 model = cd_fast.enet_coordinate_descent_multi_task(9931299313tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99314 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399315 model = cd_fast.enet_coordinate_descent_multi_task(9931699317tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99318 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399319 model = cd_fast.enet_coordinate_descent_multi_task(9932099321tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99322 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399323 model = cd_fast.enet_coordinate_descent_multi_task(9932499325tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99326 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399327 model = cd_fast.enet_coordinate_descent_multi_task(9932899329tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99330 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399331 model = cd_fast.enet_coordinate_descent_multi_task(9933299333tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99334 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399335 model = cd_fast.enet_coordinate_descent_multi_task(9933699337tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99338 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399339 model = cd_fast.enet_coordinate_descent_multi_task(9934099341tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99342 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399343 model = cd_fast.enet_coordinate_descent_multi_task(9934499345tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99346 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399347 model = cd_fast.enet_coordinate_descent_multi_task(9934899349tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99350 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399351 model = cd_fast.enet_coordinate_descent_multi_task(9935299353tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99354 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399355 model = cd_fast.enet_coordinate_descent_multi_task(9935699357tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99358 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399359 model = cd_fast.enet_coordinate_descent_multi_task(9936099361tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99362 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399363 model = cd_fast.enet_coordinate_descent_multi_task(9936499365tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99366 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399367 model = cd_fast.enet_coordinate_descent_multi_task(9936899369tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99370 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399371 model = cd_fast.enet_coordinate_descent_multi_task(9937299373tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99374 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399375 model = cd_fast.enet_coordinate_descent_multi_task(9937699377tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99378 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399379 model = cd_fast.enet_coordinate_descent_multi_task(9938099381tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99382 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399383 model = cd_fast.enet_coordinate_descent_multi_task(9938499385tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99386 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399387 model = cd_fast.enet_coordinate_descent_multi_task(9938899389tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99390 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399391 model = cd_fast.enet_coordinate_descent_multi_task(9939299393tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99394 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399395 model = cd_fast.enet_coordinate_descent_multi_task(9939699397tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99398 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399399 model = cd_fast.enet_coordinate_descent_multi_task(9940099401tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99402 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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-0399403 model = cd_fast.enet_coordinate_descent_multi_task(9940499405tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]99406tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]99407tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]99408 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/tests/test_tree.py:1873: RuntimeWarning: overflow encountered in cast99409 data = xpx.nan_to_num(data.astype("float32"))9941099411tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]99412tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]99413tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]99414tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]99415 /nix/store/adzv2l2pzg6jnjikcj3fgghpbc1mhaj3-python3.14-numpy-2.5.3/lib/python3.14/site-packages/numpy/_core/fromnumeric.py:83: RuntimeWarning: invalid value encountered in reduce99416 return ufunc.reduce(obj, axis, dtype, out, **passkwargs)9941799418tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]99419 /nix/store/adzv2l2pzg6jnjikcj3fgghpbc1mhaj3-python3.14-numpy-2.5.3/lib/python3.14/site-packages/numpy/_core/_methods.py:49: RuntimeWarning: overflow encountered in reduce99420 return umr_sum(a, axis, dtype, out, keepdims, initial, where)9942199422model_selection/tests/test_search.py::test_search_estimator_param[RandomizedSearchCV-param_distributions]99423model_selection/tests/test_search.py::test_multi_metric_search_forwards_metadata[RandomizedSearchCV-param_distributions]99424model_selection/tests/test_search.py::test_score_rejects_params_with_no_routing_enabled[RandomizedSearchCV-param_distributions]99425 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99426 warnings.warn(9942799428utils/tests/test_estimator_checks.py::test_check_estimator_not_fail_fast99429 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 input99430 warnings.warn(9943199432utils/tests/test_estimator_checks.py::test_check_estimator_transformer_no_mixin99433 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 input99434 warnings.warn(9943599436model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99437model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99438model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99439model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99440model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99441 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 folds99442 warnings.warn(9944399444utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99445 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99446 warnings.warn(9944799448utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99449 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 input99450 warnings.warn(9945199452utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99453 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99454 warnings.warn(9945599456utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99457 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 input99458 warnings.warn(9945999460utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99461 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99462 warnings.warn(9946399464model_selection/tests/test_validation.py::test_fit_and_score_working99465 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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: 99466 Traceback (most recent call last):99467 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99468 scores = scorer(estimator, X_test, y_test, **score_params)99469 TypeError: 'dict' object is not callable99470 99471 warnings.warn(9947299473utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests99474 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99475 warnings.warn(9947699477utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests99478 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99479 warnings.warn(9948099481utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests99482 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99483 warnings.warn(9948499485utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests99486utils/tests/test_estimator_checks.py::test_yield_all_checks_legacy99487 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99488 warnings.warn(9948999490utils/tests/test_extmath.py::test_randomized_svd_sparse_warnings[dok_matrix]99491utils/tests/test_extmath.py::test_randomized_svd_sparse_warnings[dok_array]99492 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99493 array = _ensure_sparse_format(9949499495model_selection/tests/test_search.py: 13 warnings99496 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99497 warnings.warn(9949899499model_selection/tests/test_search.py: 13 warnings99500 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99501 warnings.warn(9950299503model_selection/tests/test_search.py: 17 warnings99504 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99505 warnings.warn(9950699507model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-True]99508model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-True]99509model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-True]99510model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-False]99511model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-False]99512 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99513 warnings.warn(9951499515ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor]99516ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor]99517 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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().99518 return fit_method(estimator, *args, **kwargs)9951999520model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight99521model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight99522model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight99523model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight99524 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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: 99525 Traceback (most recent call last):99526 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99527 scores = scorer(estimator, X_test, y_test, **score_params)99528 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 80, in inner_f99529 return f(*args, **kwargs)99530 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 322, in __call__99531 return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)99532 ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^99533 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 463, in _score99534 return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)99535 ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^99536 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper99537 return func(*args, **kwargs)99538 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py", line 405, in accuracy_score99539 y_type, _, y_true, y_pred, sample_weight = _check_targets(99540 ~~~~~~~~~~~~~~^99541 y_true, y_pred, sample_weight99542 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^99543 )99544 ^99545 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py", line 134, in _check_targets99546 raise ValueError(99547 ...<3 lines>...99548 )99549 ValueError: Classification metrics can't handle a mix of binary and continuous targets99550 99551 warnings.warn(9955299553model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight99554 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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]99555 warnings.warn(9955699557utils/tests/test_validation.py: 16 warnings99558 /nix/store/y7bsm4y1633ghzrw8mz6rblwv5djw3ks-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.99559 self._set_intXint(row, col, x.flat[0])9956099561tree/tests/test_tree.py::test_multioutput[DecisionTreeClassifier-gini]99562tree/tests/test_tree.py::test_multioutput[DecisionTreeClassifier-log_loss]99563tree/tests/test_tree.py::test_multioutput[ExtraTreeClassifier-gini]99564tree/tests/test_tree.py::test_multioutput[ExtraTreeClassifier-log_loss]99565 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_classes.py:1087: RuntimeWarning: divide by zero encountered in log99566 proba[k] = np.log(proba[k])9956799568ensemble/tests/test_forest.py::test_round_samples_to_one_when_samples_too_low[balanced_subsample]99569ensemble/tests/test_forest.py::test_round_samples_to_one_when_samples_too_low[None]99570 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99571 warn(9957299573tree/tests/test_tree.py::test_big_input99574 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_array_api.py:976: RuntimeWarning: overflow encountered in cast99575 array = numpy.asarray(array, order=order, dtype=dtype)9957699577model_selection/tests/test_split.py: 14 warnings99578 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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=4.99579 warnings.warn(9958099581model_selection/tests/test_split.py: 14 warnings99582 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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=6.99583 warnings.warn(9958499585model_selection/tests/test_split.py: 14 warnings99586 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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=7.99587 warnings.warn(9958899589model_selection/tests/test_split.py: 14 warnings99590 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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=4.99591 warnings.warn(9959299593model_selection/tests/test_split.py: 14 warnings99594 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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=6.99595 warnings.warn(9959699597tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV]99598tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV]99599 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99600 warnings.warn(9960199602model_selection/tests/test_split.py: 14 warnings99603 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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=7.99604 warnings.warn(9960599606tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV]99607tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV]99608 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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: 99609 Traceback (most recent call last):99610 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99611 scores = scorer(estimator, X_test, y_test, **score_params)99612 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 80, in inner_f99613 return f(*args, **kwargs)99614 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 322, in __call__99615 return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)99616 ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^99617 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 454, in _score99618 response_method = _check_response_method(estimator, self._response_method)99619 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 2286, in _check_response_method99620 raise AttributeError(99621 ...<2 lines>...99622 )99623 AttributeError: GraphicalLassoCV has none of the following attributes: predict.99624 99625 warnings.warn(9962699627tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[SequentialFeatureSelector]99628tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[SequentialFeatureSelector]99629 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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: 99630 Traceback (most recent call last):99631 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99632 scores = scorer(estimator, X_test, y_test, **score_params)99633 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 80, in inner_f99634 return f(*args, **kwargs)99635 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 322, in __call__99636 return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)99637 ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^99638 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 454, in _score99639 response_method = _check_response_method(estimator, self._response_method)99640 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 2286, in _check_response_method99641 raise AttributeError(99642 ...<2 lines>...99643 )99644 AttributeError: SequentialFeatureSelector has none of the following attributes: predict.99645 99646 warnings.warn(9964799648tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[TargetEncoder]99649tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[TargetEncoder]99650 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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: 99651 Traceback (most recent call last):99652 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99653 scores = scorer(estimator, X_test, y_test, **score_params)99654 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 80, in inner_f99655 return f(*args, **kwargs)99656 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 322, in __call__99657 return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)99658 ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^99659 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 454, in _score99660 response_method = _check_response_method(estimator, self._response_method)99661 File "/nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 2286, in _check_response_method99662 raise AttributeError(99663 ...<2 lines>...99664 )99665 AttributeError: TargetEncoder has none of the following attributes: predict.99666 99667 warnings.warn(9966899669neighbors/tests/test_neighbors.py: 11 warnings99670 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99671 return self._fit(X)9967299673neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_matrix-yule]99674neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_array-yule]99675neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule]99676neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule]99677 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 yule99678 warnings.warn(msg, DataConversionWarning)9967999680neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba99681neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba99682 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 0.99683 warnings.warn(9968499685neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice]99686neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice]99687 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 dice99688 warnings.warn(msg, DataConversionWarning)9968999690neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard]99691neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard]99692 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 jaccard99693 warnings.warn(msg, DataConversionWarning)9969499695neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto]99696neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto]99697 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 rogerstanimoto99698 warnings.warn(msg, DataConversionWarning)9969999700neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao]99701neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao]99702 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 russellrao99703 warnings.warn(msg, DataConversionWarning)9970499705neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath]99706neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath]99707 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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 sokalsneath99708 warnings.warn(msg, DataConversionWarning)9970999710neighbors/tests/test_neighbors.py::test_nearest_neighbours_works_with_p_less_than_199711 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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'`.99712 warnings.warn(9971399714neighbors/tests/test_neighbors_pipeline.py::test_spectral_clustering99715neighbors/tests/test_neighbors_pipeline.py::test_spectral_embedding99716 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99717 adjacency = check_symmetric(adjacency)9971899719ensemble/tests/test_stacking.py: 30 warnings99720 /nix/store/1cgv7y7l6vw903k249c3zjrrdavdhbj8-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.99721 warnings.warn(9972299723-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html99724= 34041 passed, 12699 skipped, 224 xfailed, 118 xpassed, 6591 warnings in 167.92s (0:02:47) =99725Finished executing pytestCheckPhase99726pytestCheckPhase completed in 2 minutes 52 seconds