python3.14-scikit-learn-1.9.0
checks.aarch64-linux.pkgs-voxterm
· build #6294
· raw
1elastic-arm-bffd7d5a: building k03hyi67kj3704s25hz7in42l29jlylj-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/33x3cyc63b5v4wwavz2hlxj60rzh6fq2-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 3.2.5)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/81ag9nxz1flw3xjkv1vvqg8y2ipx2ins-python3-3.14.7/bin/python3.14 /build/scikit_learn-1.9.0/sklearn/_build_utils/tempita.py)58Program python found: YES (/nix/store/81ag9nxz1flw3xjkv1vvqg8y2ipx2ins-python3-3.14.7/bin/python3.14)59Run-time dependency OpenMP for c found: YES 5.260Program cython found: YES (/nix/store/fkrgnz3igss4q5wnpb39gpij7clsv5da-python3.14-cython-3.2.5/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/lfkdyggn1ffslfd830l35jrvapr5lzri-ninja-1.13.2/bin/ninja77+ /nix/store/lfkdyggn1ffslfd830l35jrvapr5lzri-ninja-1.13.2/bin/ninja78[101/257] Generating 'sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c'79warning: sklearn/neighbors/_binary_tree.pxi:1091:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier80warning: sklearn/neighbors/_binary_tree.pxi:1957:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier81warning: sklearn/neighbors/_binary_tree.pxi:2052:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier82warning: sklearn/neighbors/_binary_tree.pxi:2221:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier83warning: sklearn/neighbors/_binary_tree.pxi:2344:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier84warning: sklearn/neighbors/_binary_tree.pxi:2401:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier85warning: sklearn/neighbors/_binary_tree.pxi:2402:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier86warning: sklearn/neighbors/_binary_tree.pxi:2726:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier87warning: sklearn/neighbors/_binary_tree.pxi:3592:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier88warning: sklearn/neighbors/_binary_tree.pxi:3687:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier89warning: sklearn/neighbors/_binary_tree.pxi:3856:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier90warning: sklearn/neighbors/_binary_tree.pxi:3979:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier91warning: sklearn/neighbors/_binary_tree.pxi:4036:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier92warning: sklearn/neighbors/_binary_tree.pxi:4037:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier93warning: sklearn/neighbors/_kd_tree.pyx:74:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier94warning: sklearn/neighbors/_kd_tree.pyx:75:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier95warning: sklearn/neighbors/_kd_tree.pyx:342:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier96warning: sklearn/neighbors/_kd_tree.pyx:343:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier97[107/257] Generating 'sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c'98warning: sklearn/neighbors/_binary_tree.pxi:1091:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier99warning: sklearn/neighbors/_binary_tree.pxi:1957:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier100warning: sklearn/neighbors/_binary_tree.pxi:2052:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier101warning: sklearn/neighbors/_binary_tree.pxi:2221:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier102warning: sklearn/neighbors/_binary_tree.pxi:2344:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier103warning: sklearn/neighbors/_binary_tree.pxi:2401:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier104warning: sklearn/neighbors/_binary_tree.pxi:2402:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier105warning: sklearn/neighbors/_binary_tree.pxi:2726:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier106warning: sklearn/neighbors/_binary_tree.pxi:3592:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier107warning: sklearn/neighbors/_binary_tree.pxi:3687:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier108warning: sklearn/neighbors/_binary_tree.pxi:3856:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier109warning: sklearn/neighbors/_binary_tree.pxi:3979:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier110warning: sklearn/neighbors/_binary_tree.pxi:4036:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier111warning: sklearn/neighbors/_binary_tree.pxi:4037:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier112warning: sklearn/neighbors/_ball_tree.pyx:107:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier113warning: sklearn/neighbors/_ball_tree.pyx:310:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier114[122/257] 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[136/257] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/meson-generated__base.cpp.o152sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp: In function ‘void __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction32__parallel_on_X(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction32*)’:153sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:9042:21: warning: ‘__pyx_v_thread_num’ is used uninitialized [-Wuninitialized]154 9042 | #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)155 | ^~~156sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:9013:45: note: ‘__pyx_v_thread_num’ was declared here157 9013 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;158 | ^~~~~~~~~~~~~~~~~~159sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp: In function ‘void __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction64__parallel_on_X(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction64*)’:160sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:6214:21: warning: ‘__pyx_v_thread_num’ is used uninitialized [-Wuninitialized]161 6214 | #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)162 | ^~~163sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:6185:45: note: ‘__pyx_v_thread_num’ was declared here164 6185 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;165 | ^~~~~~~~~~~~~~~~~~166sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp: In function ‘void __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction32__parallel_on_Y(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction32*)’:167sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:9407:23: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized]168 9407 | #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)169 | ^~~170sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:9307:45: note: ‘__pyx_v_thread_num’ was declared here171 9307 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;172 | ^~~~~~~~~~~~~~~~~~173sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp: In function ‘void __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction64__parallel_on_Y(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction64*)’:174sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:6579:23: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized]175 6579 | #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)176 | ^~~177sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:6479:45: note: ‘__pyx_v_thread_num’ was declared here178 6479 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;179 | ^~~~~~~~~~~~~~~~~~180In function ‘__Pyx_memviewslice __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base__sqeuclidean_row_norms32_dense(__Pyx_memviewslice, __pyx_t_7sklearn_5utils_9_typedefs_intp_t)’,181 inlined from ‘__Pyx_memviewslice __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base__sqeuclidean_row_norms32(PyObject*, __pyx_t_7sklearn_5utils_9_typedefs_intp_t, int)’ at sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:7996:113:182sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:4586:21: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized]183 4586 | #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)184 | ^~~185sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp: In function ‘__Pyx_memviewslice __pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base__sqeuclidean_row_norms32(PyObject*, __pyx_t_7sklearn_5utils_9_typedefs_intp_t, int)’:186sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:4416:45: note: ‘__pyx_v_thread_num’ was declared here187 4416 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num;188 | ^~~~~~~~~~~~~~~~~~189[141/257] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/meson-generated__argkmin.cpp.o190sklearn/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’:191sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp:6741:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized]192 6741 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno;193 | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~194sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp:6616:7: note: ‘__pyx_clineno’ was declared here195 6616 | int __pyx_clineno = 0;196 | ^~~~~~~~~~~~~197sklearn/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’:198sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp:11165:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized]19911165 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno;200 | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~201sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp:11040:7: note: ‘__pyx_clineno’ was declared here20211040 | int __pyx_clineno = 0;203 | ^~~~~~~~~~~~~204[144/257] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/meson-generated__radius_neighbors.cpp.o205sklearn/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’:206sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:9905:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized]207 9905 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno;208 | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~209sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:9789:7: note: ‘__pyx_clineno’ was declared here210 9789 | int __pyx_clineno = 0;211 | ^~~~~~~~~~~~~212sklearn/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’:213sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:14139:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized]21414139 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno;215 | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~216sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:14023:7: note: ‘__pyx_clineno’ was declared here21714023 | int __pyx_clineno = 0;218 | ^~~~~~~~~~~~~219[146/257] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/meson-generated__k_means_minibatch.c.o220sklearn/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’:221sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5324:21: warning: ‘__pyx_v_indices’ is used uninitialized [-Wuninitialized]222 5324 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_1, __pyx_t_2, __pyx_t_3) num_threads(__pyx_v_n_threads)223 | ^~~224sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5278:8: note: ‘__pyx_v_indices’ was declared here225 5278 | int *__pyx_v_indices;226 | ^~~~~~~~~~~~~~~227sklearn/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’:228sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5050:21: warning: ‘__pyx_v_indices’ is used uninitialized [-Wuninitialized]229 5050 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_1, __pyx_t_2, __pyx_t_3) num_threads(__pyx_v_n_threads)230 | ^~~231sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5004:8: note: ‘__pyx_v_indices’ was declared here232 5004 | int *__pyx_v_indices;233 | ^~~~~~~~~~~~~~~234In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_10_minibatch_update_sparse’,235 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:6418:13:236sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6545:21: warning: ‘__pyx_v_indices’ may be used uninitialized [-Wmaybe-uninitialized]237 6545 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_n_threads)238 | ^~~239sklearn/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’:240sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6440:8: note: ‘__pyx_v_indices’ was declared here241 6440 | int *__pyx_v_indices;242 | ^~~~~~~~~~~~~~~243In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_12_minibatch_update_sparse’,244 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:6764:13:245sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6891:21: warning: ‘__pyx_v_indices’ may be used uninitialized [-Wmaybe-uninitialized]246 6891 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_n_threads)247 | ^~~248sklearn/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’:249sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6786:8: note: ‘__pyx_v_indices’ was declared here250 6786 | int *__pyx_v_indices;251 | ^~~~~~~~~~~~~~~252[147/257] 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_6lloyd_iter_chunked_dense’,254 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:6176:13:255sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6491:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]256 6491 | #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_6) 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)257 | ^~~258sklearn/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’:259sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6215:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here260 6215 | double *__pyx_v_weight_in_clusters_chunk;261 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~262In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,263 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:6176:13:264sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6491:21: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized]265 6491 | #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_6) 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)266 | ^~~267sklearn/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’:268sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6216:11: note: ‘__pyx_v_pairwise_distances_chunk’ was declared here269 6216 | double *__pyx_v_pairwise_distances_chunk;270 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~271In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,272 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:6176:13:273sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6491:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]274 6491 | #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_6) 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)275 | ^~~276sklearn/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’:277sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6212:7: note: ‘__pyx_v_k’ was declared here278 6212 | int __pyx_v_k;279 | ^~~~~~~~~280In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,281 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:6176:13:282sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6491:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]283 6491 | #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_6) 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)284 | ^~~285sklearn/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’:286sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6211:7: note: ‘__pyx_v_j’ was declared here287 6211 | int __pyx_v_j;288 | ^~~~~~~~~289In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’,290 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:6176:13:291sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6491:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]292 6491 | #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_6) 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)293 | ^~~294sklearn/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’:295sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6214:11: note: ‘__pyx_v_centers_new_chunk’ was declared here296 6214 | double *__pyx_v_centers_new_chunk;297 | ^~~~~~~~~~~~~~~~~~~~~~~~~298In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,299 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:5147:13:300sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5462:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]301 5462 | #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_6) 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)302 | ^~~303sklearn/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’:304sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5186:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here305 5186 | float *__pyx_v_weight_in_clusters_chunk;306 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~307In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,308 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:5147:13:309sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5462:21: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized]310 5462 | #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_6) 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)311 | ^~~312sklearn/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’:313sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5187:10: note: ‘__pyx_v_pairwise_distances_chunk’ was declared here314 5187 | float *__pyx_v_pairwise_distances_chunk;315 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~316In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,317 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:5147:13:318sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5462:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]319 5462 | #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_6) 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)320 | ^~~321sklearn/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’:322sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5183:7: note: ‘__pyx_v_k’ was declared here323 5183 | int __pyx_v_k;324 | ^~~~~~~~~325In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,326 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:5147:13:327sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5462:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]328 5462 | #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_6) 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)329 | ^~~330sklearn/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’:331sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5182:7: note: ‘__pyx_v_j’ was declared here332 5182 | int __pyx_v_j;333 | ^~~~~~~~~334In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’,335 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:5147:13:336sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5462:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]337 5462 | #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_6) 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)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_5lloyd_iter_chunked_dense’:340sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5185:10: note: ‘__pyx_v_centers_new_chunk’ was declared here341 5185 | float *__pyx_v_centers_new_chunk;342 | ^~~~~~~~~~~~~~~~~~~~~~~~~343In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’,344 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:9172:13:345sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9558:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]346 9558 | #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_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __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)347 | ^~~348sklearn/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’:349sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9213:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here350 9213 | double *__pyx_v_weight_in_clusters_chunk;351 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~352In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’,353 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:9172:13:354sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9558:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]355 9558 | #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_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __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)356 | ^~~357sklearn/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’:358sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9207:7: note: ‘__pyx_v_k’ was declared here359 9207 | int __pyx_v_k;360 | ^~~~~~~~~361In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’,362 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:9172:13:363sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9558:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]364 9558 | #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_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __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)365 | ^~~366sklearn/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’:367sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9206:7: note: ‘__pyx_v_j’ was declared here368 9206 | int __pyx_v_j;369 | ^~~~~~~~~370In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’,371 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:9172:13:372sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9558:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]373 9558 | #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_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __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)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_13lloyd_iter_chunked_sparse’:376sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9212:11: note: ‘__pyx_v_centers_new_chunk’ was declared here377 9212 | double *__pyx_v_centers_new_chunk;378 | ^~~~~~~~~~~~~~~~~~~~~~~~~379In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’,380 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:8021:13:381sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8407:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]382 8407 | #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_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __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)383 | ^~~384sklearn/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’:385sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8062:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here386 8062 | float *__pyx_v_weight_in_clusters_chunk;387 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~388In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’,389 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:8021:13:390sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8407:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]391 8407 | #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_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __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)392 | ^~~393sklearn/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’:394sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8056:7: note: ‘__pyx_v_k’ was declared here395 8056 | int __pyx_v_k;396 | ^~~~~~~~~397In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’,398 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:8021:13:399sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8407:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]400 8407 | #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_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __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)401 | ^~~402sklearn/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’:403sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8055:7: note: ‘__pyx_v_j’ was declared here404 8055 | int __pyx_v_j;405 | ^~~~~~~~~406In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’,407 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:8021:13:408sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8407:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]409 8407 | #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_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __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)410 | ^~~411sklearn/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’:412sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8061:10: note: ‘__pyx_v_centers_new_chunk’ was declared here413 8061 | float *__pyx_v_centers_new_chunk;414 | ^~~~~~~~~~~~~~~~~~~~~~~~~415[158/257] Compiling C object sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/meson-generated__k_means_elkan.c.o416In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’,417 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:9292:13:418sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9566:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]419 9566 | #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_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __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)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_23elkan_iter_chunked_dense’:422sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9335:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here423 9335 | double *__pyx_v_weight_in_clusters_chunk;424 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~425In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’,426 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:9292:13:427sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9566:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]428 9566 | #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_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __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)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_23elkan_iter_chunked_dense’:431sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9333:7: note: ‘__pyx_v_k’ was declared here432 9333 | int __pyx_v_k;433 | ^~~~~~~~~434In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’,435 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:9292:13:436sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9566:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]437 9566 | #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_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __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)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_23elkan_iter_chunked_dense’:440sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9332:7: note: ‘__pyx_v_j’ was declared here441 9332 | int __pyx_v_j;442 | ^~~~~~~~~443In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’,444 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:9292:13:445sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9566:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]446 9566 | #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_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __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)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_23elkan_iter_chunked_dense’:449sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9334:11: note: ‘__pyx_v_centers_new_chunk’ was declared here450 9334 | double *__pyx_v_centers_new_chunk;451 | ^~~~~~~~~~~~~~~~~~~~~~~~~452In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’,453 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:8136:13:454sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8410:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]455 8410 | #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_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __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)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_21elkan_iter_chunked_dense’:458sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8179:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here459 8179 | float *__pyx_v_weight_in_clusters_chunk;460 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~461In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’,462 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:8136:13:463sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8410:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]464 8410 | #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_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __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)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_21elkan_iter_chunked_dense’:467sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8177:7: note: ‘__pyx_v_k’ was declared here468 8177 | int __pyx_v_k;469 | ^~~~~~~~~470In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’,471 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:8136:13:472sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8410:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]473 8410 | #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_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __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)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_21elkan_iter_chunked_dense’:476sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8176:7: note: ‘__pyx_v_j’ was declared here477 8176 | int __pyx_v_j;478 | ^~~~~~~~~479In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’,480 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:8136:13:481sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8410:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]482 8410 | #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_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __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)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_21elkan_iter_chunked_dense’:485sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8178:10: note: ‘__pyx_v_centers_new_chunk’ was declared here486 8178 | float *__pyx_v_centers_new_chunk;487 | ^~~~~~~~~~~~~~~~~~~~~~~~~488In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’,489 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:11618:13:490sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12002:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]49112002 | #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_8) 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)492 | ^~~493sklearn/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’:494sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11664:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here49511664 | float *__pyx_v_weight_in_clusters_chunk;496 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~497In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’,498 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:11618:13:499sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12002:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]50012002 | #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_8) 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)501 | ^~~502sklearn/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’:503sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11661:7: note: ‘__pyx_v_k’ was declared here50411661 | int __pyx_v_k;505 | ^~~~~~~~~506In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’,507 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:11618:13:508sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12002:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]50912002 | #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_8) 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)510 | ^~~511sklearn/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’:512sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11660:7: note: ‘__pyx_v_j’ was declared here51311660 | int __pyx_v_j;514 | ^~~~~~~~~515In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’,516 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:11618:13:517sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12002:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]51812002 | #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_8) 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)519 | ^~~520sklearn/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’:521sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11663:10: note: ‘__pyx_v_centers_new_chunk’ was declared here52211663 | float *__pyx_v_centers_new_chunk;523 | ^~~~~~~~~~~~~~~~~~~~~~~~~524In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’,525 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:12957:13:526sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13341:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized]52713341 | #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_8) 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)528 | ^~~529sklearn/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’:530sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13003:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here53113003 | double *__pyx_v_weight_in_clusters_chunk;532 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~533In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’,534 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:12957:13:535sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13341:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized]53613341 | #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_8) 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)537 | ^~~538sklearn/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’:539sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13000:7: note: ‘__pyx_v_k’ was declared here54013000 | int __pyx_v_k;541 | ^~~~~~~~~542In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’,543 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:12957:13:544sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13341:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized]54513341 | #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_8) 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)546 | ^~~547sklearn/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’:548sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12999:7: note: ‘__pyx_v_j’ was declared here54912999 | int __pyx_v_j;550 | ^~~~~~~~~551In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’,552 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:12957:13:553sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13341:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized]55413341 | #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_8) 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)555 | ^~~556sklearn/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’:557sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13002:11: note: ‘__pyx_v_centers_new_chunk’ was declared here55813002 | double *__pyx_v_centers_new_chunk;559 | ^~~~~~~~~~~~~~~~~~~~~~~~~560[168/257] 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:6881:21: warning: ‘__pyx_v_summary’ is used uninitialized [-Wuninitialized]563 6881 | #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)564 | ^~~565sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6732:10: note: ‘__pyx_v_summary’ was declared here566 6732 | float *__pyx_v_summary;567 | ^~~~~~~~~~~~~~~568sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6881:21: warning: ‘__pyx_v_pos’ is used uninitialized [-Wuninitialized]569 6881 | #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)570 | ^~~571sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6727:10: note: ‘__pyx_v_pos’ was declared here572 6727 | float *__pyx_v_pos;573 | ^~~~~~~~~~~574sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6881:21: warning: ‘__pyx_v_neg_force’ is used uninitialized [-Wuninitialized]575 6881 | #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)576 | ^~~577sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6726:10: note: ‘__pyx_v_neg_force’ was declared here578 6726 | float *__pyx_v_neg_force;579 | ^~~~~~~~~~~~~~~~~580sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6881:21: warning: ‘__pyx_v_force’ is used uninitialized [-Wuninitialized]581 6881 | #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)582 | ^~~583sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6725:10: note: ‘__pyx_v_force’ was declared here584 6725 | 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:6336:21: warning: ‘__pyx_v_buff’ is used uninitialized [-Wuninitialized]588 6336 | #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)589 | ^~~590sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6215:10: note: ‘__pyx_v_buff’ was declared here591 6215 | float *__pyx_v_buff;592 | ^~~~~~~~~~~~593[191/257] 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_gram.isra’:595sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:19101:17: warning: ‘__pyx_v_Ry’ may be used uninitialized [-Wmaybe-uninitialized]59619101 | __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:18872:10: note: ‘__pyx_v_Ry’ was declared here59918872 | 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_gram.isra’:602sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:18724:84: warning: ‘__pyx_v_Ry’ may be used uninitialized [-Wmaybe-uninitialized]60318724 | __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:18495:9: note: ‘__pyx_v_Ry’ was declared here60618495 | 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_sparse.isra’:609sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:12966:17: warning: ‘__pyx_v_Ry’ may be used uninitialized [-Wmaybe-uninitialized]61012966 | __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:12615:10: note: ‘__pyx_v_Ry’ was declared here61312615 | 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_sparse.isra’:616sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:12393:84: warning: ‘__pyx_v_Ry’ may be used uninitialized [-Wmaybe-uninitialized]61712393 | __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:12042:9: note: ‘__pyx_v_Ry’ was declared here62012042 | float __pyx_v_Ry;621 | ^~~~~~~~~~622sklearn/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’:623sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:23812:84: warning: ‘__pyx_v_Ry’ may be used uninitialized [-Wmaybe-uninitialized]62423812 | __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:23390:9: note: ‘__pyx_v_Ry’ was declared here62723390 | float __pyx_v_Ry;628 | ^~~~~~~~~~629sklearn/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’:630sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c:24537:17: warning: ‘__pyx_v_Ry’ may be used uninitialized [-Wmaybe-uninitialized]63124537 | __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:24115:10: note: ‘__pyx_v_Ry’ was declared here63424115 | double __pyx_v_Ry;635 | ^~~~~~~~~~636[221/257] 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:17129:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]63917129 | __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:24495:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]64324495 | __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:25044:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]64725044 | __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:25949:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]65125949 | __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:26559:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]65526559 | __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:26962:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]65926962 | __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:26972:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]66226972 | __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:31004:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]66631004 | __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:38379:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]67038379 | __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:38928:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]67438928 | __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:39833:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]67839833 | __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:40443:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]68240443 | __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:40846:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]68640846 | __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:40856:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]68940856 | __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:42762:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]69342762 | __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:44135:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]69744135 | __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_0__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’,700 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:40155:19:701sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:42472:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]70242472 | __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_12BinaryTree32__kde_single_depthfirst’:705sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:39733:55: note: ‘__pyx_v_sample_weight’ was declared here70639733 | __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight;707 | ^~~~~~~~~~~~~~~~~~~~~708In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’,709 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:26271:19:710sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:42531:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]71142531 | __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_12BinaryTree64__kde_single_depthfirst’:714sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:25849:55: note: ‘__pyx_v_sample_weight’ was declared here71525849 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;716 | ^~~~~~~~~~~~~~~~~~~~~717[252/257] 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:17109:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]72017109 | __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:24475:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]72424475 | __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:25024:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]72825024 | __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:25929:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]73225929 | __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:26539:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]73626539 | __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:26942:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]74026942 | __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:26952:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]74326952 | __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:30984:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]74730984 | __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:38359:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]75138359 | __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:38908:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]75538908 | __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:39813:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]75939813 | __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:40423:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]76340423 | __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:40826:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]76740826 | __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:40836:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]77040836 | __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:42717:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]77442717 | __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:42729:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]77742729 | __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:44544:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]78144544 | __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:44556:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]78444556 | __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:26251:19:788sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:42511:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]78942511 | __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:25829:55: note: ‘__pyx_v_sample_weight’ was declared here79325829 | __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:40135:19:797sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:42452:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]79842452 | __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:39713:55: note: ‘__pyx_v_sample_weight’ was declared here80239713 | __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:87068:13:807sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87157:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]80887157 | #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)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:87090:11: note: ‘__pyx_v_p’ was declared here81287090 | double *__pyx_v_p;813 | ^~~~~~~~~814In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_32loss_gradient’,815 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:88300:13:816sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:88389:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]81788389 | #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)818 | ^~~819sklearn/_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’:820sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:88322:10: note: ‘__pyx_v_p’ was declared here82188322 | float *__pyx_v_p;822 | ^~~~~~~~~823In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_44gradient’,824 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:91336:13:825sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:91423:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]82691423 | #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)827 | ^~~828sklearn/_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’:829sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:91356:10: note: ‘__pyx_v_p’ was declared here83091356 | float *__pyx_v_p;831 | ^~~~~~~~~832In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_42gradient’,833 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:90846:13:834sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:90933:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]83590933 | #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)836 | ^~~837sklearn/_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’:838sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:90866:10: note: ‘__pyx_v_p’ was declared here83990866 | float *__pyx_v_p;840 | ^~~~~~~~~841In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_40gradient’,842 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:90356:13:843sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:90443:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]84490443 | #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)845 | ^~~846sklearn/_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’:847sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:90376:11: note: ‘__pyx_v_p’ was declared here84890376 | double *__pyx_v_p;849 | ^~~~~~~~~850In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_38gradient’,851 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:89866:13:852sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:89953:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]85389953 | #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)854 | ^~~855sklearn/_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’:856sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:89886:11: note: ‘__pyx_v_p’ was declared here85789886 | double *__pyx_v_p;858 | ^~~~~~~~~859In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_24loss’,860 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:86206:13:861sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:86289:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]86286289 | #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)863 | ^~~864sklearn/_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’:865sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:86227:10: note: ‘__pyx_v_p’ was declared here86686227 | float *__pyx_v_p;867 | ^~~~~~~~~868In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_22loss’,869 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:85696:13:870sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:85779:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]87185779 | #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)872 | ^~~873sklearn/_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’:874sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:85717:10: note: ‘__pyx_v_p’ was declared here87585717 | float *__pyx_v_p;876 | ^~~~~~~~~877In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_20loss’,878 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:85186:13:879sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:85269:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]88085269 | #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)881 | ^~~882sklearn/_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’:883sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:85207:11: note: ‘__pyx_v_p’ was declared here88485207 | double *__pyx_v_p;885 | ^~~~~~~~~886In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_18loss’,887 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:84676:13:888sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:84759:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]88984759 | #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)890 | ^~~891sklearn/_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’:892sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:84697:11: note: ‘__pyx_v_p’ was declared here89384697 | double *__pyx_v_p;894 | ^~~~~~~~~895In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_64gradient_proba’,896 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:96128:13:897sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:96217:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]89896217 | #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)899 | ^~~900sklearn/_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’:901sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:96149:10: note: ‘__pyx_v_p’ was declared here90296149 | float *__pyx_v_p;903 | ^~~~~~~~~904In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_62gradient_proba’,905 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:95623:13:906sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:95712:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]90795712 | #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)908 | ^~~909sklearn/_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’:910sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:95644:10: note: ‘__pyx_v_p’ was declared here91195644 | float *__pyx_v_p;912 | ^~~~~~~~~913In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_60gradient_proba’,914 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:95118:13:915sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:95207:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]91695207 | #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)917 | ^~~918sklearn/_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’:919sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:95139:11: note: ‘__pyx_v_p’ was declared here92095139 | double *__pyx_v_p;921 | ^~~~~~~~~922In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_58gradient_proba’,923 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:94613:13:924sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:94702:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]92594702 | #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)926 | ^~~927sklearn/_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’:928sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:94634:11: note: ‘__pyx_v_p’ was declared here92994634 | double *__pyx_v_p;930 | ^~~~~~~~~931In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_54gradient_hessian’,932 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:93747:13:933sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93835:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]93493835 | #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)935 | ^~~936sklearn/_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’:937sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93768:10: note: ‘__pyx_v_p’ was declared here93893768 | float *__pyx_v_p;939 | ^~~~~~~~~940In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_52gradient_hessian’,941 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:93224:13:942sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93312:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]94393312 | #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)944 | ^~~945sklearn/_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’:946sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93245:10: note: ‘__pyx_v_p’ was declared here94793245 | float *__pyx_v_p;948 | ^~~~~~~~~949In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_50gradient_hessian’,950 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:92701:13:951sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92789:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]95292789 | #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)953 | ^~~954sklearn/_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’:955sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92722:11: note: ‘__pyx_v_p’ was declared here95692722 | double *__pyx_v_p;957 | ^~~~~~~~~958In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_48gradient_hessian’,959 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:92178:13:960sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92266:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]96192266 | #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)962 | ^~~963sklearn/_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’:964sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92199:11: note: ‘__pyx_v_p’ was declared here96592199 | double *__pyx_v_p;966 | ^~~~~~~~~967In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_34loss_gradient’,968 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:88916:13:969sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:89005:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]97089005 | #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)971 | ^~~972sklearn/_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’:973sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:88938:10: note: ‘__pyx_v_p’ was declared here97488938 | float *__pyx_v_p;975 | ^~~~~~~~~976In function ‘__pyx_pf_7sklearn_5_loss_5_loss_21CyHalfMultinomialLoss_30loss_gradient’,977 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:87684:13:978sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87773:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized]97987773 | #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)980 | ^~~981sklearn/_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’:982sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87706:11: note: ‘__pyx_v_p’ was declared here98387706 | 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...989Finished executing pypaBuildPhase990buildPhase completed in 1 minutes 29 secondspythonRuntimeDepsCheckHook
991Executing pythonRuntimeDepsCheck992Checking runtime dependencies for scikit_learn-1.9.0-cp314-cp314-linux_aarch64.whl993Finished executing pythonRuntimeDepsCheckinstallPhase
994Executing pypaInstallPhase995Successfully installed scikit_learn-1.9.0-cp314-cp314-linux_aarch64.whl996Finished executing pypaInstallPhasepythonOutputDistPhase
997Executing pythonOutputDistPhase998Finished executing pythonOutputDistPhasefixupPhase
999shrinking RPATHs of ELF executables and libraries in /nix/store/pvzw92pcw0h1xil1rysbn81dz0zrka7r-python3.14-scikit-learn-1.9.0-dist1000checking for references to /build/ in /nix/store/pvzw92pcw0h1xil1rysbn81dz0zrka7r-python3.14-scikit-learn-1.9.0-dist...1001patching script interpreter paths in /nix/store/pvzw92pcw0h1xil1rysbn81dz0zrka7r-python3.14-scikit-learn-1.9.0-dist1002shrinking RPATHs of ELF executables and libraries in /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.01003shrinking /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_tree.cpython-314-aarch64-linux-gnu.so1004shrinking /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_utils.cpython-314-aarch64-linux-gnu.so1005shrinking 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/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.01074/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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/81ag9nxz1flw3xjkv1vvqg8y2ipx2ins-python3-3.14.7/bin/python3"1075stripping (with command strip and flags -S -p) in /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib1076Executing pythonRemoveTestsDir1077Finished executing pythonRemoveTestsDirinstallCheckPhase
1078setting known thread variables to default: 11079 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=11080no Makefile or custom installCheckPhase, doing nothingpythonImportsCheckPhase
1081Executing pythonImportsCheckPhase1082Check whether the following modules can be imported: sklearnpythonMetadataCheckPhase
1083Executing pythonMetadataCheckPhasepytestCheckPhase
1084Executing pytestCheckPhase1085setting known thread variables to default: 11086 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=11087pytest 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=81088============================= test session starts ==============================1089platform linux -- Python 3.14.7, pytest-9.1.1, pluggy-1.6.0 -- /nix/store/81ag9nxz1flw3xjkv1vvqg8y2ipx2ins-python3-3.14.7/bin/python3.141090cachedir: .pytest_cache1091rootdir: /build1092plugins: xdist-3.8.01093ready: 8/8 workers File "/nix/store/f35spnza4z1g7hymdrw8zcyfpffby0pc-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1094 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1095 File "/nix/store/f35spnza4z1g7hymdrw8zcyfpffby0pc-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/externals/loky/backend/context.py", line 255, in _count_physical_cores1096 raise ValueError(f"found {cpu_count_physical} physical cores < 1")1097 File "/nix/store/f35spnza4z1g7hymdrw8zcyfpffby0pc-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")1099 File "/nix/store/f35spnza4z1g7hymdrw8zcyfpffby0pc-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/f35spnza4z1g7hymdrw8zcyfpffby0pc-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/f35spnza4z1g7hymdrw8zcyfpffby0pc-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/f35spnza4z1g7hymdrw8zcyfpffby0pc-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/f35spnza4z1g7hymdrw8zcyfpffby0pc-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")11098 workers [47081 items]1110scheduling tests via LoadScheduling11111112_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfGammaLoss] 1113[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfGammaLoss] 1114gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel4] 1115_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfTweedieLoss] 1116[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfTweedieLoss] 1117_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfBinomialLoss] 1118[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfBinomialLoss] 1119_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfMultinomialLoss] 1120[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-HalfMultinomialLoss] 1121_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-ExponentialLoss] 1122[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-False-ExponentialLoss] 1123_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfSquaredError] 1124[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfSquaredError] 1125_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-AbsoluteError] 1126[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-AbsoluteError] 1127_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-PinballLoss] 1128[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-PinballLoss] 1129_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HuberLoss] 1130[gw5] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel4] 1131gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel5] 1132[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HuberLoss] 1133_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfPoissonLoss] 1134[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfPoissonLoss] 1135_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfGammaLoss] 1136[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfGammaLoss] 1137_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfTweedieLoss] 1138[gw5] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel5] 1139gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel0] 1140[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfTweedieLoss] 1141_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfBinomialLoss] 1142[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfBinomialLoss] 1143_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfMultinomialLoss] 1144[gw5] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel0] 1145gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel1] 1146[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-HalfMultinomialLoss] 1147_loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-ExponentialLoss] 1148[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_dtype[2-1-1-1-float64-float64-True-ExponentialLoss] 1149[gw5] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel1] 1150gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel2] 1151_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfSquaredError] 1152[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfSquaredError] 1153_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-AbsoluteError] 1154[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-AbsoluteError] 1155_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-PinballLoss(quantile=0.5)] 1156[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-PinballLoss(quantile=0.5)] 1157_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HuberLoss(quantile=0.9] 1158[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HuberLoss(quantile=0.9] 1159_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfPoissonLoss] 1160[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfPoissonLoss] 1161_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfGammaLoss] 1162[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfGammaLoss] 1163_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=1.5)] 1164[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=1.5)] 1165_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfBinomialLoss] 1166[gw5] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel2] 1167[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfBinomialLoss] 1168_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfMultinomialLoss] 1169gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel3] 1170[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfMultinomialLoss] 1171_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-ExponentialLoss] 1172[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-ExponentialLoss] 1173_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-PinballLoss(quantile=0.25)] 1174[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-PinballLoss(quantile=0.25)] 1175_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HuberLoss(quantile=0.75] 1176[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HuberLoss(quantile=0.75] 1177_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=-1.5)] 1178[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=-1.5)] 1179_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=0.0)] 1180[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=0.0)] 1181_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=1.0)] 1182[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=1.0)] 1183_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=2.0)] 1184[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=2.0)] 1185[gw5] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel3] 1186gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel4] 1187_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=3.0)] 1188[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLoss(power=3.0)] 1189_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=0.0)] 1190[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=0.0)] 1191_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=1.0)] 1192[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=1.0)] 1193_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=2.0)] 1194[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=2.0)] 1195_loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=3.0)] 1196[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[None-HalfTweedieLossIdentity(power=3.0)] 1197_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfSquaredError] 1198[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfSquaredError] 1199_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-AbsoluteError] 1200[gw5] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel4] 1201gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel0] 1202[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-AbsoluteError] 1203_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-PinballLoss(quantile=0.5)] 1204[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-PinballLoss(quantile=0.5)] 1205_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HuberLoss(quantile=0.9] 1206[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HuberLoss(quantile=0.9] 1207_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfPoissonLoss] 1208[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfPoissonLoss] 1209_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfGammaLoss] 1210[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfGammaLoss] 1211_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=1.5)] 1212[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=1.5)] 1213[gw5] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel0] 1214gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel1] 1215[gw5] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel1] 1216gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel2] 1217_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfBinomialLoss] 1218[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfBinomialLoss] 1219_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfMultinomialLoss] 1220[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfMultinomialLoss] 1221_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-ExponentialLoss] 1222[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-ExponentialLoss] 1223_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-PinballLoss(quantile=0.25)] 1224[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-PinballLoss(quantile=0.25)] 1225_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HuberLoss(quantile=0.75] 1226[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HuberLoss(quantile=0.75] 1227_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=-1.5)] 1228[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=-1.5)] 1229[gw5] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel2] 1230gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel3] 1231_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=0.0)] 1232[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=0.0)] 1233_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=1.0)] 1234[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=1.0)] 1235_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=2.0)] 1236[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=2.0)] 1237_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=3.0)] 1238[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLoss(power=3.0)] 1239_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=0.0)] 1240[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=0.0)] 1241_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=1.0)] 1242[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=1.0)] 1243_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=2.0)] 1244[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=2.0)] 1245_loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=3.0)] 1246[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_same_as_C_functions[range-HalfTweedieLossIdentity(power=3.0)] 1247_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfSquaredError] 1248[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfSquaredError] 1249_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-AbsoluteError] 1250[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-AbsoluteError] 1251_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-PinballLoss(quantile=0.5)] 1252[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-PinballLoss(quantile=0.5)] 1253_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HuberLoss(quantile=0.9] 1254[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HuberLoss(quantile=0.9] 1255_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfPoissonLoss] 1256[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfPoissonLoss] 1257_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfGammaLoss] 1258[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfGammaLoss] 1259_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=1.5)] 1260[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=1.5)] 1261_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfBinomialLoss] 1262[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfBinomialLoss] 1263_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfMultinomialLoss] 1264[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfMultinomialLoss] 1265_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-ExponentialLoss] 1266[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-ExponentialLoss] 1267_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-PinballLoss(quantile=0.25)] 1268[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-PinballLoss(quantile=0.25)] 1269_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HuberLoss(quantile=0.75] 1270[gw5] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel3] 1271gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel4] 1272[gw5] [ 0%] PASSED gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel4] 1273gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel0] 1274[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HuberLoss(quantile=0.75] 1275_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=-1.5)] 1276[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel0] 1277gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel1] 1278[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=-1.5)] 1279_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=0.0)] 1280[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=0.0)] 1281_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=1.0)] 1282[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel1] 1283gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel2] 1284[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=1.0)] 1285_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=2.0)] 1286[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=2.0)] 1287_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=3.0)] 1288[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLoss(power=3.0)] 1289_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLossIdentity(power=0.0)] 1290[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLossIdentity(power=0.0)] 1291_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLossIdentity(power=1.0)] 1292[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLossIdentity(power=1.0)] 1293_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLossIdentity(power=2.0)] 1294[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLossIdentity(power=2.0)] 1295_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLossIdentity(power=3.0)] 1296[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel2] 1297gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel3] 1298[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-None-HalfTweedieLossIdentity(power=3.0)] 1299_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfSquaredError] 1300[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfSquaredError] 1301_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-AbsoluteError] 1302[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-AbsoluteError] 1303_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-PinballLoss(quantile=0.5)] 1304[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-PinballLoss(quantile=0.5)] 1305_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HuberLoss(quantile=0.9] 1306[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HuberLoss(quantile=0.9] 1307_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfPoissonLoss] 1308[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfPoissonLoss] 1309_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfGammaLoss] 1310[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfGammaLoss] 1311_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLoss(power=1.5)] 1312[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLoss(power=1.5)] 1313_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfBinomialLoss] 1314[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfBinomialLoss] 1315_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfMultinomialLoss] 1316[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfMultinomialLoss] 1317_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-ExponentialLoss] 1318[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-ExponentialLoss] 1319_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-PinballLoss(quantile=0.25)] 1320[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-PinballLoss(quantile=0.25)] 1321_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HuberLoss(quantile=0.75] 1322[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HuberLoss(quantile=0.75] 1323_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLoss(power=-1.5)] 1324[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLoss(power=-1.5)] 1325_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLoss(power=0.0)] 1326[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLoss(power=0.0)] 1327_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLoss(power=1.0)] 1328[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLoss(power=1.0)] 1329_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLoss(power=2.0)] 1330[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLoss(power=2.0)] 1331_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLoss(power=3.0)] 1332[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLoss(power=3.0)] 1333_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLossIdentity(power=0.0)] 1334[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLossIdentity(power=0.0)] 1335_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLossIdentity(power=1.0)] 1336[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLossIdentity(power=1.0)] 1337_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLossIdentity(power=2.0)] 1338[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLossIdentity(power=2.0)] 1339_loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLossIdentity(power=3.0)] 1340[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_gradients_are_the_same[42-range-HalfTweedieLossIdentity(power=3.0)] 1341_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfSquaredError] 1342[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfSquaredError] 1343_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-AbsoluteError] 1344[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-AbsoluteError] 1345_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-PinballLoss(quantile=0.5)] 1346[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-PinballLoss(quantile=0.5)] 1347_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HuberLoss(quantile=0.9] 1348[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HuberLoss(quantile=0.9] 1349_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfPoissonLoss] 1350[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfPoissonLoss] 1351_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfGammaLoss] 1352[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfGammaLoss] 1353_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLoss(power=1.5)] 1354[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLoss(power=1.5)] 1355_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfBinomialLoss] 1356[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfBinomialLoss] 1357_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfMultinomialLoss] 1358[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfMultinomialLoss] 1359_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-ExponentialLoss] 1360[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-ExponentialLoss] 1361_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-PinballLoss(quantile=0.25)] 1362[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-PinballLoss(quantile=0.25)] 1363_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HuberLoss(quantile=0.75] 1364[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HuberLoss(quantile=0.75] 1365_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLoss(power=-1.5)] 1366[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLoss(power=-1.5)] 1367_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLoss(power=0.0)] 1368[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLoss(power=0.0)] 1369_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLoss(power=1.0)] 1370[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLoss(power=1.0)] 1371_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLoss(power=2.0)] 1372[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLoss(power=2.0)] 1373_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLoss(power=3.0)] 1374[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLoss(power=3.0)] 1375_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLossIdentity(power=0.0)] 1376[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLossIdentity(power=0.0)] 1377_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLossIdentity(power=1.0)] 1378[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLossIdentity(power=1.0)] 1379_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLossIdentity(power=2.0)] 1380[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLossIdentity(power=2.0)] 1381_loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLossIdentity(power=3.0)] 1382[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-ones-HalfTweedieLossIdentity(power=3.0)] 1383_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfSquaredError] 1384[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfSquaredError] 1385_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-AbsoluteError] 1386[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-AbsoluteError] 1387_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-PinballLoss(quantile=0.5)] 1388[gw5] [ 0%] XFAIL gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel3] 1389gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel4] 1390[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-PinballLoss(quantile=0.5)] 1391_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HuberLoss(quantile=0.9] 1392[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HuberLoss(quantile=0.9] 1393_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfPoissonLoss] 1394[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfPoissonLoss] 1395_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfGammaLoss] 1396[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfGammaLoss] 1397_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLoss(power=1.5)] 1398[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLoss(power=1.5)] 1399_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfBinomialLoss] 1400[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfBinomialLoss] 1401_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfMultinomialLoss] 1402[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfMultinomialLoss] 1403_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-ExponentialLoss] 1404[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-ExponentialLoss] 1405_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-PinballLoss(quantile=0.25)] 1406[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-PinballLoss(quantile=0.25)] 1407_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HuberLoss(quantile=0.75] 1408[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HuberLoss(quantile=0.75] 1409_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLoss(power=-1.5)] 1410[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLoss(power=-1.5)] 1411_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLoss(power=0.0)] 1412[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLoss(power=0.0)] 1413_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLoss(power=1.0)] 1414[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLoss(power=1.0)] 1415_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLoss(power=2.0)] 1416[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLoss(power=2.0)] 1417_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLoss(power=3.0)] 1418[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLoss(power=3.0)] 1419_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLossIdentity(power=0.0)] 1420[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLossIdentity(power=0.0)] 1421_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLossIdentity(power=1.0)] 1422[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLossIdentity(power=1.0)] 1423_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLossIdentity(power=2.0)] 1424[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLossIdentity(power=2.0)] 1425_loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLossIdentity(power=3.0)] 1426[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_sample_weight_multiplies[42-random-HalfTweedieLossIdentity(power=3.0)] 1427_loss/tests/test_loss.py::test_graceful_squeezing[HalfSquaredError] 1428[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfSquaredError] 1429_loss/tests/test_loss.py::test_graceful_squeezing[AbsoluteError] 1430[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[AbsoluteError] 1431_loss/tests/test_loss.py::test_graceful_squeezing[PinballLoss(quantile=0.5)] 1432[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[PinballLoss(quantile=0.5)] 1433_loss/tests/test_loss.py::test_graceful_squeezing[HuberLoss(quantile=0.9] 1434[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HuberLoss(quantile=0.9] 1435_loss/tests/test_loss.py::test_graceful_squeezing[HalfPoissonLoss] 1436[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfPoissonLoss] 1437_loss/tests/test_loss.py::test_graceful_squeezing[HalfGammaLoss] 1438[gw5] [ 0%] XFAIL gaussian_process/tests/test_gpr.py::test_lml_gradient[0.001-kernel4] 1439[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfGammaLoss] 1440_loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLoss(power=1.5)] 1441gaussian_process/tests/test_gpr.py::test_lml_gradient[0.0031622776601683794-kernel0] 1442[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLoss(power=1.5)] 1443_loss/tests/test_loss.py::test_graceful_squeezing[HalfBinomialLoss] 1444[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfBinomialLoss] 1445_loss/tests/test_loss.py::test_graceful_squeezing[HalfMultinomialLoss] 1446[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfMultinomialLoss] 1447[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.0031622776601683794-kernel0] 1448gaussian_process/tests/test_gpr.py::test_lml_gradient[0.0031622776601683794-kernel1] 1449_loss/tests/test_loss.py::test_graceful_squeezing[ExponentialLoss] 1450[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[ExponentialLoss] 1451_loss/tests/test_loss.py::test_graceful_squeezing[PinballLoss(quantile=0.25)] 1452[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[PinballLoss(quantile=0.25)] 1453_loss/tests/test_loss.py::test_graceful_squeezing[HuberLoss(quantile=0.75] 1454[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.0031622776601683794-kernel1] 1455gaussian_process/tests/test_gpr.py::test_lml_gradient[0.0031622776601683794-kernel2] 1456[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HuberLoss(quantile=0.75] 1457_loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLoss(power=-1.5)] 1458[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLoss(power=-1.5)] 1459_loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLoss(power=0.0)] 1460[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLoss(power=0.0)] 1461_loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLoss(power=1.0)] 1462[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLoss(power=1.0)] 1463_loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLoss(power=2.0)] 1464[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLoss(power=2.0)] 1465_loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLoss(power=3.0)] 1466[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLoss(power=3.0)] 1467_loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLossIdentity(power=0.0)] 1468[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.0031622776601683794-kernel2] 1469[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLossIdentity(power=0.0)] 1470_loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLossIdentity(power=1.0)] 1471gaussian_process/tests/test_gpr.py::test_lml_gradient[0.0031622776601683794-kernel3] 1472[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLossIdentity(power=1.0)] 1473_loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLossIdentity(power=2.0)] 1474[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLossIdentity(power=2.0)] 1475_loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLossIdentity(power=3.0)] 1476[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_graceful_squeezing[HalfTweedieLossIdentity(power=3.0)] 1477_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfSquaredError] 1478[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfSquaredError] 1479_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-AbsoluteError] 1480[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-AbsoluteError] 1481_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-PinballLoss(quantile=0.5)] 1482[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-PinballLoss(quantile=0.5)] 1483_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HuberLoss(quantile=0.9] 1484[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HuberLoss(quantile=0.9] 1485_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfPoissonLoss] 1486[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfPoissonLoss] 1487_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfGammaLoss] 1488[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfGammaLoss] 1489_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLoss(power=1.5)] 1490[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLoss(power=1.5)] 1491_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfBinomialLoss] 1492[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfBinomialLoss] 1493_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfMultinomialLoss] 1494[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfMultinomialLoss] 1495_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-ExponentialLoss] 1496[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-ExponentialLoss] 1497_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-PinballLoss(quantile=0.25)] 1498[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-PinballLoss(quantile=0.25)] 1499_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HuberLoss(quantile=0.75] 1500[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HuberLoss(quantile=0.75] 1501_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLoss(power=-1.5)] 1502[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLoss(power=-1.5)] 1503_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLoss(power=0.0)] 1504[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLoss(power=0.0)] 1505_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLoss(power=1.0)] 1506[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLoss(power=1.0)] 1507_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLoss(power=2.0)] 1508[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLoss(power=2.0)] 1509_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLoss(power=3.0)] 1510[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLoss(power=3.0)] 1511_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLossIdentity(power=0.0)] 1512[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLossIdentity(power=0.0)] 1513_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLossIdentity(power=1.0)] 1514[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLossIdentity(power=1.0)] 1515_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLossIdentity(power=2.0)] 1516[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLossIdentity(power=2.0)] 1517_loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLossIdentity(power=3.0)] 1518[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[None-HalfTweedieLossIdentity(power=3.0)] 1519_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfSquaredError] 1520[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfSquaredError] 1521_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-AbsoluteError] 1522[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-AbsoluteError] 1523_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-PinballLoss(quantile=0.5)] 1524[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-PinballLoss(quantile=0.5)] 1525_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HuberLoss(quantile=0.9] 1526[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HuberLoss(quantile=0.9] 1527_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfPoissonLoss] 1528[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfPoissonLoss] 1529_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfGammaLoss] 1530[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfGammaLoss] 1531_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLoss(power=1.5)] 1532[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLoss(power=1.5)] 1533_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfBinomialLoss] 1534[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfBinomialLoss] 1535_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfMultinomialLoss] 1536[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfMultinomialLoss] 1537_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-ExponentialLoss] 1538[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-ExponentialLoss] 1539_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-PinballLoss(quantile=0.25)] 1540[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-PinballLoss(quantile=0.25)] 1541[gw5] [ 0%] XFAIL gaussian_process/tests/test_gpr.py::test_lml_gradient[0.0031622776601683794-kernel3] 1542gaussian_process/tests/test_gpr.py::test_lml_gradient[0.0031622776601683794-kernel4] 1543_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HuberLoss(quantile=0.75] 1544[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HuberLoss(quantile=0.75] 1545_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLoss(power=-1.5)] 1546[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLoss(power=-1.5)] 1547_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLoss(power=0.0)] 1548[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLoss(power=0.0)] 1549_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLoss(power=1.0)] 1550[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLoss(power=1.0)] 1551_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLoss(power=2.0)] 1552[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLoss(power=2.0)] 1553_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLoss(power=3.0)] 1554[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLoss(power=3.0)] 1555_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLossIdentity(power=0.0)] 1556[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLossIdentity(power=0.0)] 1557_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLossIdentity(power=1.0)] 1558[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLossIdentity(power=1.0)] 1559_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLossIdentity(power=2.0)] 1560[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLossIdentity(power=2.0)] 1561_loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLossIdentity(power=3.0)] 1562[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_of_perfect_prediction[range-HalfTweedieLossIdentity(power=3.0)] 1563_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfSquaredError] 1564[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfSquaredError] 1565_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-AbsoluteError] 1566[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-AbsoluteError] 1567_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-PinballLoss(quantile=0.5)] 1568[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-PinballLoss(quantile=0.5)] 1569_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HuberLoss(quantile=0.9] 1570[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HuberLoss(quantile=0.9] 1571_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfPoissonLoss] 1572[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfPoissonLoss] 1573_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfGammaLoss] 1574[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfGammaLoss] 1575_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLoss(power=1.5)] 1576[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLoss(power=1.5)] 1577_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfBinomialLoss] 1578[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfBinomialLoss] 1579_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfMultinomialLoss] 1580[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfMultinomialLoss] 1581_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-ExponentialLoss] 1582[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-ExponentialLoss] 1583_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-PinballLoss(quantile=0.25)] 1584[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-PinballLoss(quantile=0.25)] 1585_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HuberLoss(quantile=0.75] 1586[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HuberLoss(quantile=0.75] 1587_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLoss(power=-1.5)] 1588[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLoss(power=-1.5)] 1589_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLoss(power=0.0)] 1590[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLoss(power=0.0)] 1591_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLoss(power=1.0)] 1592[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLoss(power=1.0)] 1593_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLoss(power=2.0)] 1594[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLoss(power=2.0)] 1595_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLoss(power=3.0)] 1596[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLoss(power=3.0)] 1597_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLossIdentity(power=0.0)] 1598[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLossIdentity(power=0.0)] 1599_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLossIdentity(power=1.0)] 1600[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLossIdentity(power=1.0)] 1601_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLossIdentity(power=2.0)] 1602[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLossIdentity(power=2.0)] 1603[gw5] [ 0%] XFAIL gaussian_process/tests/test_gpr.py::test_lml_gradient[0.0031622776601683794-kernel4] 1604_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLossIdentity(power=3.0)] 1605gaussian_process/tests/test_gpr.py::test_lml_gradient[0.01-kernel0] 1606[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-None-HalfTweedieLossIdentity(power=3.0)] 1607_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfSquaredError] 1608[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfSquaredError] 1609_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-AbsoluteError] 1610[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.01-kernel0] 1611gaussian_process/tests/test_gpr.py::test_lml_gradient[0.01-kernel1] 1612[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-AbsoluteError] 1613_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-PinballLoss(quantile=0.5)] 1614[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-PinballLoss(quantile=0.5)] 1615_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HuberLoss(quantile=0.9] 1616[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.01-kernel1] 1617[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HuberLoss(quantile=0.9] 1618_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfPoissonLoss] 1619gaussian_process/tests/test_gpr.py::test_lml_gradient[0.01-kernel2] 1620[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfPoissonLoss] 1621_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfGammaLoss] 1622[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfGammaLoss] 1623_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLoss(power=1.5)] 1624[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLoss(power=1.5)] 1625_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfBinomialLoss] 1626[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfBinomialLoss] 1627_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfMultinomialLoss] 1628[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.01-kernel2] 1629gaussian_process/tests/test_gpr.py::test_lml_gradient[0.01-kernel3] 1630[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfMultinomialLoss] 1631_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-ExponentialLoss] 1632[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-ExponentialLoss] 1633_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-PinballLoss(quantile=0.25)] 1634[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-PinballLoss(quantile=0.25)] 1635_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HuberLoss(quantile=0.75] 1636[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HuberLoss(quantile=0.75] 1637_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLoss(power=-1.5)] 1638[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLoss(power=-1.5)] 1639_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLoss(power=0.0)] 1640[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLoss(power=0.0)] 1641_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLoss(power=1.0)] 1642[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLoss(power=1.0)] 1643_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLoss(power=2.0)] 1644[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLoss(power=2.0)] 1645_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLoss(power=3.0)] 1646[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLoss(power=3.0)] 1647_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLossIdentity(power=0.0)] 1648[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLossIdentity(power=0.0)] 1649_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLossIdentity(power=1.0)] 1650[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLossIdentity(power=1.0)] 1651_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLossIdentity(power=2.0)] 1652[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLossIdentity(power=2.0)] 1653_loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLossIdentity(power=3.0)] 1654[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_gradients_hessians_numerically[42-range-HalfTweedieLossIdentity(power=3.0)] 1655_loss/tests/test_loss.py::test_derivatives[squared_error--2.0-42] 1656[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_derivatives[squared_error--2.0-42] 1657_loss/tests/test_loss.py::test_derivatives[squared_error-117.0-1.05] 1658[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_derivatives[squared_error-117.0-1.05] 1659_loss/tests/test_loss.py::test_derivatives[squared_error-0.0-0.0] 1660[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_derivatives[squared_error-0.0-0.0] 1661_loss/tests/test_loss.py::test_derivatives[binomial_loss-0.3-0.1] 1662[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_derivatives[binomial_loss-0.3-0.1] 1663_loss/tests/test_loss.py::test_derivatives[binomial_loss--12-0.2] 1664[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_derivatives[binomial_loss--12-0.2] 1665_loss/tests/test_loss.py::test_derivatives[binomial_loss-30-0.9] 1666[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_derivatives[binomial_loss-30-0.9] 1667_loss/tests/test_loss.py::test_derivatives[poisson_loss-12.0-1.0] 1668[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_derivatives[poisson_loss-12.0-1.0] 1669_loss/tests/test_loss.py::test_derivatives[poisson_loss-0.0-2.0] 1670[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_derivatives[poisson_loss-0.0-2.0] 1671_loss/tests/test_loss.py::test_derivatives[poisson_loss--22.0-10.0] 1672[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_derivatives[poisson_loss--22.0-10.0] 1673_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfSquaredError] 1674[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfSquaredError] 1675_loss/tests/test_loss.py::test_loss_intercept_only[None-AbsoluteError] 1676[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-AbsoluteError] 1677_loss/tests/test_loss.py::test_loss_intercept_only[None-PinballLoss(quantile=0.5)] 1678[gw5] [ 0%] XFAIL gaussian_process/tests/test_gpr.py::test_lml_gradient[0.01-kernel3] 1679gaussian_process/tests/test_gpr.py::test_lml_gradient[0.01-kernel4] 1680[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-PinballLoss(quantile=0.5)] 1681_loss/tests/test_loss.py::test_loss_intercept_only[None-HuberLoss(quantile=0.9] 1682[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HuberLoss(quantile=0.9] 1683_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfPoissonLoss] 1684[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfPoissonLoss] 1685_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfGammaLoss] 1686[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfGammaLoss] 1687_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLoss(power=1.5)] 1688[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLoss(power=1.5)] 1689_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfBinomialLoss] 1690[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfBinomialLoss] 1691_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfMultinomialLoss] 1692[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfMultinomialLoss] 1693_loss/tests/test_loss.py::test_loss_intercept_only[None-ExponentialLoss] 1694[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-ExponentialLoss] 1695_loss/tests/test_loss.py::test_loss_intercept_only[None-PinballLoss(quantile=0.25)] 1696[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-PinballLoss(quantile=0.25)] 1697_loss/tests/test_loss.py::test_loss_intercept_only[None-HuberLoss(quantile=0.75] 1698[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HuberLoss(quantile=0.75] 1699_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLoss(power=-1.5)] 1700[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLoss(power=-1.5)] 1701_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLoss(power=0.0)] 1702[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLoss(power=0.0)] 1703_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLoss(power=1.0)] 1704[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLoss(power=1.0)] 1705_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLoss(power=2.0)] 1706[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLoss(power=2.0)] 1707_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLoss(power=3.0)] 1708[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLoss(power=3.0)] 1709_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLossIdentity(power=0.0)] 1710[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLossIdentity(power=0.0)] 1711_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLossIdentity(power=1.0)] 1712[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLossIdentity(power=1.0)] 1713_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLossIdentity(power=2.0)] 1714[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLossIdentity(power=2.0)] 1715_loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLossIdentity(power=3.0)] 1716[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[None-HalfTweedieLossIdentity(power=3.0)] 1717_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfSquaredError] 1718[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfSquaredError] 1719_loss/tests/test_loss.py::test_loss_intercept_only[range-AbsoluteError] 1720[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-AbsoluteError] 1721_loss/tests/test_loss.py::test_loss_intercept_only[range-PinballLoss(quantile=0.5)] 1722[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-PinballLoss(quantile=0.5)] 1723_loss/tests/test_loss.py::test_loss_intercept_only[range-HuberLoss(quantile=0.9] 1724[gw5] [ 0%] XFAIL gaussian_process/tests/test_gpr.py::test_lml_gradient[0.01-kernel4] 1725gaussian_process/tests/test_gpr.py::test_lml_gradient[0.03162277660168379-kernel0] 1726[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HuberLoss(quantile=0.9] 1727[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.03162277660168379-kernel0] 1728gaussian_process/tests/test_gpr.py::test_lml_gradient[0.03162277660168379-kernel1] 1729[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.03162277660168379-kernel1] 1730gaussian_process/tests/test_gpr.py::test_lml_gradient[0.03162277660168379-kernel2] 1731_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfPoissonLoss] 1732[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfPoissonLoss] 1733_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfGammaLoss] 1734[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfGammaLoss] 1735_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLoss(power=1.5)] 1736[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLoss(power=1.5)] 1737_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfBinomialLoss] 1738[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfBinomialLoss] 1739_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfMultinomialLoss] 1740[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfMultinomialLoss] 1741_loss/tests/test_loss.py::test_loss_intercept_only[range-ExponentialLoss] 1742[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-ExponentialLoss] 1743_loss/tests/test_loss.py::test_loss_intercept_only[range-PinballLoss(quantile=0.25)] 1744[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-PinballLoss(quantile=0.25)] 1745_loss/tests/test_loss.py::test_loss_intercept_only[range-HuberLoss(quantile=0.75] 1746[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HuberLoss(quantile=0.75] 1747_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLoss(power=-1.5)] 1748[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLoss(power=-1.5)] 1749_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLoss(power=0.0)] 1750[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLoss(power=0.0)] 1751_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLoss(power=1.0)] 1752[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLoss(power=1.0)] 1753_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLoss(power=2.0)] 1754[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLoss(power=2.0)] 1755_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLoss(power=3.0)] 1756[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLoss(power=3.0)] 1757_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLossIdentity(power=0.0)] 1758[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.03162277660168379-kernel2] 1759gaussian_process/tests/test_gpr.py::test_lml_gradient[0.03162277660168379-kernel3] 1760[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLossIdentity(power=0.0)] 1761_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLossIdentity(power=1.0)] 1762[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLossIdentity(power=1.0)] 1763_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLossIdentity(power=2.0)] 1764[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLossIdentity(power=2.0)] 1765_loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLossIdentity(power=3.0)] 1766[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_loss_intercept_only[range-HalfTweedieLossIdentity(power=3.0)] 1767_loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss0-mean-normal] 1768[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss0-mean-normal] 1769_loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss1-median-normal] 1770[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss1-median-normal] 1771_loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss2-<lambda>-normal] 1772[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss2-<lambda>-normal] 1773_loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss3-mean-poisson] 1774[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss3-mean-poisson] 1775_loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss4-mean-exponential] 1776[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss4-mean-exponential] 1777_loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss5-mean-exponential] 1778[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss5-mean-exponential] 1779_loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss6-mean-binomial] 1780[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_specific_fit_intercept_only[42-loss6-mean-binomial] 1781_loss/tests/test_loss.py::test_multinomial_loss_fit_intercept_only 1782[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_multinomial_loss_fit_intercept_only 1783_loss/tests/test_loss.py::test_multinomial_cy_gradient[42] 1784[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_multinomial_cy_gradient[42] 1785_loss/tests/test_loss.py::test_binomial_and_multinomial_loss[42] 1786[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_binomial_and_multinomial_loss[42] 1787_loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float32-y_pred0-y_true0] 1788[gw1] [ 0%] SKIPPED _loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float32-y_pred0-y_true0] 1789_loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float32-y_pred0-y_true1] 1790[gw1] [ 0%] SKIPPED _loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float32-y_pred0-y_true1] 1791_loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float32-y_pred1-y_true0] 1792[gw1] [ 0%] SKIPPED _loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float32-y_pred1-y_true0] 1793_loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float32-y_pred1-y_true1] 1794[gw1] [ 0%] SKIPPED _loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float32-y_pred1-y_true1] 1795_loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float64-y_pred0-y_true0] 1796[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float64-y_pred0-y_true0] 1797_loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float64-y_pred0-y_true1] 1798[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float64-y_pred0-y_true1] 1799_loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float64-y_pred1-y_true0] 1800[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float64-y_pred1-y_true0] 1801_loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float64-y_pred1-y_true1] 1802[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_binomial_vs_alternative_formulation[float64-y_pred1-y_true1] 1803_loss/tests/test_loss.py::test_predict_proba[42-HalfSquaredError] 1804[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfSquaredError] 1805_loss/tests/test_loss.py::test_predict_proba[42-AbsoluteError] 1806[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-AbsoluteError] 1807_loss/tests/test_loss.py::test_predict_proba[42-PinballLoss(quantile=0.5)] 1808[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-PinballLoss(quantile=0.5)] 1809_loss/tests/test_loss.py::test_predict_proba[42-HuberLoss(quantile=0.9] 1810[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HuberLoss(quantile=0.9] 1811_loss/tests/test_loss.py::test_predict_proba[42-HalfPoissonLoss] 1812[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfPoissonLoss] 1813_loss/tests/test_loss.py::test_predict_proba[42-HalfGammaLoss] 1814[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfGammaLoss] 1815_loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLoss(power=1.5)] 1816[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLoss(power=1.5)] 1817_loss/tests/test_loss.py::test_predict_proba[42-HalfBinomialLoss] 1818[gw5] [ 0%] XFAIL gaussian_process/tests/test_gpr.py::test_lml_gradient[0.03162277660168379-kernel3] 1819gaussian_process/tests/test_gpr.py::test_lml_gradient[0.03162277660168379-kernel4] 1820[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfBinomialLoss] 1821_loss/tests/test_loss.py::test_predict_proba[42-HalfMultinomialLoss] 1822[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfMultinomialLoss] 1823_loss/tests/test_loss.py::test_predict_proba[42-ExponentialLoss] 1824[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-ExponentialLoss] 1825_loss/tests/test_loss.py::test_predict_proba[42-PinballLoss(quantile=0.25)] 1826[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-PinballLoss(quantile=0.25)] 1827_loss/tests/test_loss.py::test_predict_proba[42-HuberLoss(quantile=0.75] 1828[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HuberLoss(quantile=0.75] 1829_loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLoss(power=-1.5)] 1830[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLoss(power=-1.5)] 1831_loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLoss(power=0.0)] 1832[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLoss(power=0.0)] 1833_loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLoss(power=1.0)] 1834[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLoss(power=1.0)] 1835_loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLoss(power=2.0)] 1836[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLoss(power=2.0)] 1837_loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLoss(power=3.0)] 1838[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLoss(power=3.0)] 1839_loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLossIdentity(power=0.0)] 1840[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLossIdentity(power=0.0)] 1841_loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLossIdentity(power=1.0)] 1842[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLossIdentity(power=1.0)] 1843_loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLossIdentity(power=2.0)] 1844[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLossIdentity(power=2.0)] 1845_loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLossIdentity(power=3.0)] 1846[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_predict_proba[42-HalfTweedieLossIdentity(power=3.0)] 1847_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HalfSquaredError] 1848[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HalfSquaredError] 1849_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-AbsoluteError] 1850[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-AbsoluteError] 1851_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-PinballLoss] 1852[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-PinballLoss] 1853_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HuberLoss] 1854[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HuberLoss] 1855_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HalfPoissonLoss] 1856[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HalfPoissonLoss] 1857_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HalfGammaLoss] 1858[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HalfGammaLoss] 1859_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HalfTweedieLoss] 1860[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HalfTweedieLoss] 1861_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HalfBinomialLoss] 1862[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HalfBinomialLoss] 1863_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HalfMultinomialLoss] 1864[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-HalfMultinomialLoss] 1865_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-ExponentialLoss] 1866[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-None-ExponentialLoss] 1867_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HalfSquaredError] 1868[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HalfSquaredError] 1869_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-AbsoluteError] 1870[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-AbsoluteError] 1871_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-PinballLoss] 1872[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-PinballLoss] 1873_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HuberLoss] 1874[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HuberLoss] 1875_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HalfPoissonLoss] 1876[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HalfPoissonLoss] 1877_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HalfGammaLoss] 1878[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HalfGammaLoss] 1879_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HalfTweedieLoss] 1880[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HalfTweedieLoss] 1881_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HalfBinomialLoss] 1882[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HalfBinomialLoss] 1883_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HalfMultinomialLoss] 1884[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-HalfMultinomialLoss] 1885_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-ExponentialLoss] 1886[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float32-range-ExponentialLoss] 1887_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HalfSquaredError] 1888[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HalfSquaredError] 1889_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-AbsoluteError] 1890[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-AbsoluteError] 1891_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-PinballLoss] 1892[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-PinballLoss] 1893_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HuberLoss] 1894[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HuberLoss] 1895_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HalfPoissonLoss] 1896[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HalfPoissonLoss] 1897_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HalfGammaLoss] 1898[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HalfGammaLoss] 1899_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HalfTweedieLoss] 1900[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HalfTweedieLoss] 1901_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HalfBinomialLoss] 1902[gw5] [ 0%] XFAIL gaussian_process/tests/test_gpr.py::test_lml_gradient[0.03162277660168379-kernel4] 1903gaussian_process/tests/test_gpr.py::test_lml_gradient[0.1-kernel0] 1904[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.1-kernel0] 1905[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HalfBinomialLoss] 1906_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HalfMultinomialLoss] 1907[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-HalfMultinomialLoss] 1908_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-ExponentialLoss] 1909[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-None-ExponentialLoss] 1910_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HalfSquaredError] 1911[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HalfSquaredError] 1912_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-AbsoluteError] 1913[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-AbsoluteError] 1914_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-PinballLoss] 1915gaussian_process/tests/test_gpr.py::test_lml_gradient[0.1-kernel1] 1916[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-PinballLoss] 1917_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HuberLoss] 1918[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HuberLoss] 1919_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HalfPoissonLoss] 1920[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HalfPoissonLoss] 1921_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HalfGammaLoss] 1922[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.1-kernel1] 1923gaussian_process/tests/test_gpr.py::test_lml_gradient[0.1-kernel2] 1924[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HalfGammaLoss] 1925_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HalfTweedieLoss] 1926[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HalfTweedieLoss] 1927_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HalfBinomialLoss] 1928[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HalfBinomialLoss] 1929_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HalfMultinomialLoss] 1930[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-HalfMultinomialLoss] 1931_loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-ExponentialLoss] 1932[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[C-float64-range-ExponentialLoss] 1933_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HalfSquaredError] 1934[gw5] [ 0%] XPASS gaussian_process/tests/test_gpr.py::test_lml_gradient[0.1-kernel2] 1935[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HalfSquaredError] 1936_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-AbsoluteError] 1937[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-AbsoluteError] 1938_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-PinballLoss] 1939gaussian_process/tests/test_gpr.py::test_lml_gradient[0.1-kernel3] 1940[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-PinballLoss] 1941_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HuberLoss] 1942[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HuberLoss] 1943_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HalfPoissonLoss] 1944[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HalfPoissonLoss] 1945_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HalfGammaLoss] 1946[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HalfGammaLoss] 1947_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HalfTweedieLoss] 1948[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HalfTweedieLoss] 1949_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HalfBinomialLoss] 1950[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HalfBinomialLoss] 1951_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HalfMultinomialLoss] 1952[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-HalfMultinomialLoss] 1953_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-ExponentialLoss] 1954[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-None-ExponentialLoss] 1955_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HalfSquaredError] 1956[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HalfSquaredError] 1957_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-AbsoluteError] 1958[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-AbsoluteError] 1959_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-PinballLoss] 1960[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-PinballLoss] 1961_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HuberLoss] 1962[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HuberLoss] 1963_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HalfPoissonLoss] 1964[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HalfPoissonLoss] 1965_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HalfGammaLoss] 1966[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HalfGammaLoss] 1967_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HalfTweedieLoss] 1968[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HalfTweedieLoss] 1969_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HalfBinomialLoss] 1970[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HalfBinomialLoss] 1971_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HalfMultinomialLoss] 1972[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-HalfMultinomialLoss] 1973_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-ExponentialLoss] 1974[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float32-range-ExponentialLoss] 1975_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HalfSquaredError] 1976[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HalfSquaredError] 1977_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-AbsoluteError] 1978[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-AbsoluteError] 1979_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-PinballLoss] 1980[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-PinballLoss] 1981_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HuberLoss] 1982[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HuberLoss] 1983_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HalfPoissonLoss] 1984[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HalfPoissonLoss] 1985_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HalfGammaLoss] 1986[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HalfGammaLoss] 1987_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HalfTweedieLoss] 1988[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HalfTweedieLoss] 1989_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HalfBinomialLoss] 1990[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HalfBinomialLoss] 1991_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HalfMultinomialLoss] 1992[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-HalfMultinomialLoss] 1993_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-ExponentialLoss] 1994[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-None-ExponentialLoss] 1995_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-range-HalfSquaredError] 1996[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-range-HalfSquaredError] 1997_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-range-AbsoluteError] 1998[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-range-AbsoluteError] 1999_loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-range-PinballLoss] 2000[gw1] [ 0%] PASSED _loss/tests/test_loss.py::test_init_gradient_and_hessians[F-float64-range-PinballLoss] loading 95,001 hidden lines…
97002 Increase the number of iterations to improve the convergence (max_iter=100).97003 You might also want to scale the data as shown in:97004 https://scikit-learn.org/stable/modules/preprocessing.html97005 Please also refer to the documentation for alternative solver options:97006 https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression97007 n_iter_i = _check_optimize_result(9700897009covariance/tests/test_graphical_lasso.py: 20 warnings97010 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 array97011 warnings.warn(9701297013covariance/tests/test_graphical_lasso.py::test_graphical_lasso_cv[42]97014 /nix/store/djig1nih7wba6mbggx574kv9aaxrxaps-python3.14-numpy-2.5.2/lib/python3.14/site-packages/numpy/_core/_methods.py:188: RuntimeWarning: invalid value encountered in subtract97015 x = um.subtract(arr, arrmean, out=...)9701697017linear_model/tests/test_ridge.py::test_regularization_limits_ridge[asarray-wide-True-cholesky-zero_alpha]97018 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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-17.97019 dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)9702097021covariance/tests/test_robust_covariance.py::test_mcd[42]97022 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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).97023 warnings.warn(9702497025covariance/tests/test_robust_covariance.py::test_mcd[42]97026 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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).97027 warnings.warn(9702897029covariance/tests/test_robust_covariance.py::test_mcd_issue3367[42]97030 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 rank97031 warnings.warn(9703297033linear_model/tests/test_ridge.py::test_regularization_limits_ridge_gcv[asarray-float32-wide-True-svd-zero_alpha]97034linear_model/tests/test_ridge.py::test_regularization_limits_ridge_gcv[asarray-float64-wide-True-svd-zero_alpha]97035 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_ridge.py:2165: RuntimeWarning: divide by zero encountered in divide97036 looe = alpha_c / alpha_d9703797038metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[nan-nan]97039metrics/tests/test_classification.py::test_likelihood_ratios97040metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_worst97041metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by0-1.0]97042metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by1-inf]97043metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by2-2.0]97044metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by3-nan]97045 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 97046 return func(*args, **kwargs)9704797048metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by0-1.0]97049metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by1-0.0]97050metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by2-0.5]97051metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by3-nan]97052metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[nan-nan]97053metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_worst97054 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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()`.97055 return func(*args, **kwargs)9705697057metrics/tests/test_classification.py::test_cohen_kappa_undefined[0.0-test_case1]97058metrics/tests/test_classification.py::test_cohen_kappa_undefined[nan-test_case1]97059metrics/tests/test_classification.py::test_matthews_corrcoef[42]97060 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97061 warnings.warn(9706297063datasets/tests/test_lfw.py: 3 warnings97064neighbors/tests/test_kde.py: 13 warnings97065ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py: 328 warnings97066neural_network/tests/test_mlp.py: 18 warnings97067tests/test_pipeline.py: 8 warnings97068tree/tests/test_tree.py: 8 warnings97069 /nix/store/f35spnza4z1g7hymdrw8zcyfpffby0pc-python3.14-joblib-1.5.3/lib/python3.14/site-packages/joblib/numpy_pickle.py:207: DeprecationWarning: Setting the shape on a NumPy array has been deprecated in NumPy 2.5.97070 As an alternative, you can create a new view using np.reshape (with copy=False if needed).97071 array.shape = self.shape9707297073decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[full]97074 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/decomposition/_base.py:82: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 4.7842768013628604e-21.97075 return linalg_inv(self.get_covariance())9707697077decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[randomized]97078 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/decomposition/_base.py:82: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 4.140569503228034e-20.97079 return linalg_inv(self.get_covariance())9708097081datasets/tests/test_lfw.py::test_load_fake_lfw_pairs97082datasets/tests/test_lfw.py::test_load_fake_lfw_pairs97083 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/datasets/_lfw.py:479: DeprecationWarning: Setting the shape on a NumPy array has been deprecated in NumPy 2.5.97084 As an alternative, you can create a new view using np.reshape (with copy=False if needed).97085 pairs.shape = shape9708697087metrics/tests/test_classification.py::test_brier_score_loss_invalid_inputs97088 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97089 warnings.warn(9709097091metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2]97092 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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_true97093 warnings.warn("y_pred contains classes not in y_true")9709497095metrics/tests/test_classification.py::test_classification_metric_pos_label_types[classes3-precision_recall_fscore_support]97096 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97097 warnings.warn(9709897099datasets/tests/test_openml.py::test_dataset_with_openml_error[True]97100datasets/tests/test_openml.py::test_dataset_with_openml_error[False]97101 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/datasets/_openml.py:1035: UserWarning: Version 2 of dataset anneal is inactive, meaning that issues have been found in the dataset. Try using a newer version from this URL: https://www.openml.org/data/v1/download/1/anneal.arff97102 warn(9710397104metrics/tests/test_common.py: 301 warnings97105tests/test_common.py: 28 warnings97106 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 cast97107 return x.astype(dtype=dtype, copy=copy)9710897109metrics/tests/test_classification.py::test_d2_log_loss_score_label_order97110 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97111 warnings.warn(9711297113metrics/tests/test_classification.py::test_d2_brier_score_with_labels97114metrics/tests/test_classification.py::test_d2_brier_score_with_labels97115 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97116 warnings.warn(9711797118decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97119 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 2.711e-0797120 model = cd_fast.enet_coordinate_descent_gram(9712197122decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97123 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 1.138e-0797124 model = cd_fast.enet_coordinate_descent_gram(9712597126decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97127 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 1.228e-0797128 model = cd_fast.enet_coordinate_descent_gram(9712997130decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97131decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97132decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97133 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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: 1.175e-0797134 model = cd_fast.enet_coordinate_descent_gram(9713597136decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97137decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97138decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97139 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 1.060e-0797140 model = cd_fast.enet_coordinate_descent_gram(9714197142decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97143decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97144decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97145decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97146decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97147 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 1.138e-0797148 model = cd_fast.enet_coordinate_descent_gram(9714997150decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97151decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97152decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97153decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97154decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97155decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97156 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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: 1.228e-0797157 model = cd_fast.enet_coordinate_descent_gram(9715897159decomposition/tests/test_sparse_pca.py: 12 warnings97160 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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: 1.184e-0797161 model = cd_fast.enet_coordinate_descent_gram(9716297163decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97164decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97165decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97166decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97167decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97168 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 2.111e-0797169 model = cd_fast.enet_coordinate_descent_gram(9717097171decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97172decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97173decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97174decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97175decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97176decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97177decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97178decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97179decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97180 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 1.060e-0797181 model = cd_fast.enet_coordinate_descent_gram(9718297183decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97184decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97185 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-06, tolerance: 2.711e-0797186 model = cd_fast.enet_coordinate_descent_gram(9718797188decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97189decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97190decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97191decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97192 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 9.191e-0897193 model = cd_fast.enet_coordinate_descent_gram(9719497195decomposition/tests/test_sparse_pca.py: 18 warnings97196 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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: 1.138e-0797197 model = cd_fast.enet_coordinate_descent_gram(9719897199decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97200decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97201decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97202 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 2.711e-0797203 model = cd_fast.enet_coordinate_descent_gram(9720497205decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97206decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97207decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97208decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97209decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97210decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97211decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97212 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 2.711e-0797213 model = cd_fast.enet_coordinate_descent_gram(9721497215decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97216decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97217decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97218decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97219decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97220 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 2.111e-0797221 model = cd_fast.enet_coordinate_descent_gram(9722297223decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97224decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97225 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 1.228e-0797226 model = cd_fast.enet_coordinate_descent_gram(9722797228decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97229decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97230decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97231decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97232decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97233 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 1.228e-0797234 model = cd_fast.enet_coordinate_descent_gram(9723597236decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97237decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97238decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97239 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 1.138e-0797240 model = cd_fast.enet_coordinate_descent_gram(9724197242decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97243decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97244decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97245 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768372e-07, tolerance: 2.711e-0797246 model = cd_fast.enet_coordinate_descent_gram(9724797248decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97249decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97250decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97251decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97252decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97253decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97254decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97255 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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: 1.060e-0797256 model = cd_fast.enet_coordinate_descent_gram(9725797258decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97259 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.337860e-06, tolerance: 2.711e-0797260 model = cd_fast.enet_coordinate_descent_gram(9726197262decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97263decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97264 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 1.184e-0797265 model = cd_fast.enet_coordinate_descent_gram(9726697267decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97268decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97269decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97270 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.907349e-06, tolerance: 2.111e-0797271 model = cd_fast.enet_coordinate_descent_gram(9727297273decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97274decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97275 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.907349e-06, tolerance: 2.711e-0797276 model = cd_fast.enet_coordinate_descent_gram(9727797278decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97279 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.861023e-06, tolerance: 2.111e-0797280 model = cd_fast.enet_coordinate_descent_gram(9728197282decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97283decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97284decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97285decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97286decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97287 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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: 9.191e-0897288 model = cd_fast.enet_coordinate_descent_gram(9728997290decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97291decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97292decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA]97293decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97294 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768372e-07, tolerance: 2.111e-0797295 model = cd_fast.enet_coordinate_descent_gram(9729697297metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]97298metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]97299metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]97300metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]97301metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]97302metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]97303metrics/tests/test_common.py::test_no_averaging_labels97304metrics/tests/test_common.py::test_no_averaging_labels97305 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97306 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9730797308metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]97309metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]97310metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]97311metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]97312metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]97313metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]97314metrics/tests/test_common.py::test_no_averaging_labels97315metrics/tests/test_common.py::test_no_averaging_labels97316 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97317 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9731897319metrics/tests/test_classification.py: 3 warnings97320metrics/tests/test_common.py: 9 warnings97321 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97322 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9732397324decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97325 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 2.111e-0797326 model = cd_fast.enet_coordinate_descent_gram(9732797328decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97329 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 6.145e-0897330 model = cd_fast.enet_coordinate_descent_gram(9733197332decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97333 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 1.060e-0797334 model = cd_fast.enet_coordinate_descent_gram(9733597336decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97337 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 6.236e-0897338 model = cd_fast.enet_coordinate_descent_gram(9733997340decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97341 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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: 6.236e-0897342 model = cd_fast.enet_coordinate_descent_gram(9734397344decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97345decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97346 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.152557e-07, tolerance: 1.138e-0797347 model = cd_fast.enet_coordinate_descent_gram(9734897349decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97350 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.861023e-06, tolerance: 2.711e-0797351 model = cd_fast.enet_coordinate_descent_gram(9735297353decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97354 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.536743e-07, tolerance: 1.175e-0797355 model = cd_fast.enet_coordinate_descent_gram(9735697357decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97358 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 9.191e-0897359 model = cd_fast.enet_coordinate_descent_gram(9736097361decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97362 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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: 6.145e-0897363 model = cd_fast.enet_coordinate_descent_gram(9736497365decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA]97366 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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: 1.138e-0797367 model = cd_fast.enet_coordinate_descent_gram(9736897369metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params3-No samples of the positive class are present in `y_true`.]97370 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:2455: RuntimeWarning: invalid value encountered in scalar divide97371 positive_likelihood_ratio = pos_num / pos_denom9737297373metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params3-No samples of the positive class are present in `y_true`.]97374 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py:2474: RuntimeWarning: invalid value encountered in scalar divide97375 negative_likelihood_ratio = neg_num / neg_denom9737697377metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score]97378metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score]97379metrics/tests/test_common.py::test_returned_value_consistency[top_k_accuracy_score]97380metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score2-2-1]97381metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score5-2-1]97382metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]97383metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]97384 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97385 warnings.warn(9738697387linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence97388linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence97389linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence97390 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97391 warnings.warn(9739297393neighbors/tests/test_neighbors.py: 185 warnings97394tests/test_common.py: 48 warnings97395 /nix/store/djig1nih7wba6mbggx574kv9aaxrxaps-python3.14-numpy-2.5.2/lib/python3.14/site-packages/numpy/_core/numeric.py:475: RuntimeWarning: invalid value encountered in cast97396 multiarray.copyto(res, fill_value, casting='unsafe')9739797398metrics/tests/test_common.py: 75 warnings97399 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97400 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9740197402metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f0.5_score]97403metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f1_score]97404metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f2_score]97405metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f0.5_score]97406metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f1_score]97407metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f2_score]97408metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97409metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97410metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97411 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97412 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9741397414metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]97415metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]97416metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]97417 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97418 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9741997420metrics/tests/test_common.py: 25 warnings97421 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97422 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9742397424metrics/tests/test_common.py: 2 warnings97425metrics/tests/test_score_objects.py: 3 warnings97426tests/test_multioutput.py: 6 warnings97427 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97428 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9742997430metrics/tests/test_common.py: 76 warnings97431 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97432 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9743397434metrics/tests/test_common.py: 28 warnings97435metrics/tests/test_score_objects.py: 4 warnings97436 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97437 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9743897439metrics/tests/test_common.py: 25 warnings97440 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97441 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9744297443metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]97444metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_recall_score]97445metrics/tests/test_common.py::test_returned_value_consistency[samples_recall_score]97446metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97447metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97448metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97449metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight97450 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97451 _warn_prf(average, modifier, f"{metric.capitalize()} is", result.shape[0])9745297453decomposition/tests/test_dict_learning.py::test_dict_learning_online_shapes97454 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797455 model = cd_fast.enet_coordinate_descent_gram(9745697457neighbors/tests/test_neighbors.py: 12 warnings97458 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/neighbors/_classification.py:878: RuntimeWarning: invalid value encountered in divide97459 proba_k /= normalizer9746097461neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsClassifier]97462neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsClassifier]97463neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsRegressor]97464neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsRegressor]97465neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsClassifier]97466neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsClassifier]97467neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsRegressor]97468neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsRegressor]97469 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 force97470 warnings.warn("cannot use tree with sparse input: using brute force")9747197472neighbors/tests/test_neighbors.py: 11 warnings97473 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97474 return self._fit(X)9747597476neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_matrix-yule]97477neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_array-yule]97478neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule]97479neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule]97480 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 yule97481 warnings.warn(msg, DataConversionWarning)9748297483decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd]97484decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd]97485decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd]97486decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97487decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97488 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897489 model = cd_fast.enet_coordinate_descent_gram(9749097491decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd]97492decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd]97493decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd]97494 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797495 model = cd_fast.enet_coordinate_descent_gram(9749697497decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd]97498decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd]97499decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd]97500 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897501 model = cd_fast.enet_coordinate_descent_gram(9750297503decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd]97504decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd]97505decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd]97506 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897507 model = cd_fast.enet_coordinate_descent_gram(9750897509decomposition/tests/test_dict_learning.py: 14 warnings97510 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897511 model = cd_fast.enet_coordinate_descent_gram(9751297513decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97514decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97515decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97516decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97517decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97518decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97519 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797520 model = cd_fast.enet_coordinate_descent_gram(9752197522decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97523decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97524decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97525decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97526decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97527decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97528 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797529 model = cd_fast.enet_coordinate_descent_gram(9753097531decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97532decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97533decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97534decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97535decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97536decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97537decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97538decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97539 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897540 model = cd_fast.enet_coordinate_descent_gram(9754197542decomposition/tests/test_dict_learning.py: 14 warnings97543 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797544 model = cd_fast.enet_coordinate_descent_gram(9754597546decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97547decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97548decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97549decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97550decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97551decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97552 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0897553 model = cd_fast.enet_coordinate_descent_gram(9755497555decomposition/tests/test_dict_learning.py: 33 warnings97556 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797557 model = cd_fast.enet_coordinate_descent_gram(9755897559decomposition/tests/test_dict_learning.py: 20 warnings97560 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797561 model = cd_fast.enet_coordinate_descent_gram(9756297563decomposition/tests/test_dict_learning.py: 13 warnings97564 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897565 model = cd_fast.enet_coordinate_descent_gram(9756697567decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97568decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97569decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97570decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97571decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97572decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97573decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97574decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97575 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897576 model = cd_fast.enet_coordinate_descent_gram(9757797578decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97579decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97580decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97581decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97582decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97583decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97584decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97585decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97586 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0897587 model = cd_fast.enet_coordinate_descent_gram(9758897589decomposition/tests/test_dict_learning.py: 21 warnings97590 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797591 model = cd_fast.enet_coordinate_descent_gram(9759297593decomposition/tests/test_dict_learning.py: 26 warnings97594 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897595 model = cd_fast.enet_coordinate_descent_gram(9759697597decomposition/tests/test_dict_learning.py: 34 warnings97598 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897599 model = cd_fast.enet_coordinate_descent_gram(9760097601decomposition/tests/test_dict_learning.py: 15 warnings97602 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797603 model = cd_fast.enet_coordinate_descent_gram(9760497605decomposition/tests/test_dict_learning.py: 19 warnings97606 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897607 model = cd_fast.enet_coordinate_descent_gram(9760897609decomposition/tests/test_dict_learning.py: 19 warnings97610 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0897611 model = cd_fast.enet_coordinate_descent_gram(9761297613decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97614decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97615decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97616decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97617decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97618decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97619decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97620decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97621decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97622 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797623 model = cd_fast.enet_coordinate_descent_gram(9762497625decomposition/tests/test_dict_learning.py: 13 warnings97626 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897627 model = cd_fast.enet_coordinate_descent_gram(9762897629decomposition/tests/test_dict_learning.py: 23 warnings97630 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0797631 model = cd_fast.enet_coordinate_descent_gram(9763297633decomposition/tests/test_dict_learning.py: 12 warnings97634 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897635 model = cd_fast.enet_coordinate_descent_gram(9763697637decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97638decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97639decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd]97640decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd]97641decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd]97642decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd]97643decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97644decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97645 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797646 model = cd_fast.enet_coordinate_descent_gram(9764797648decomposition/tests/test_dict_learning.py: 15 warnings97649 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797650 model = cd_fast.enet_coordinate_descent_gram(9765197652decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars]97653 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897654 model = cd_fast.enet_coordinate_descent_gram(9765597656decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars]97657decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97658decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97659 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797660 model = cd_fast.enet_coordinate_descent_gram(9766197662decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-lars]97663decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-cd]97664decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-lars]97665decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-cd]97666 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897667 model = cd_fast.enet_coordinate_descent_gram(9766897669decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-lars]97670decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-cd]97671decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-lars]97672decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-cd]97673 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897674 model = cd_fast.enet_coordinate_descent_gram(9767597676decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97677decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97678decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97679decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97680decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97681decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97682 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797683 model = cd_fast.enet_coordinate_descent_gram(9768497685decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97686decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97687decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97688decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97689decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97690decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97691 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897692 model = cd_fast.enet_coordinate_descent_gram(9769397694decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97695decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97696decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97697decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97698decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97699decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97700 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897701 model = cd_fast.enet_coordinate_descent_gram(9770297703decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97704decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97705decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97706decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97707decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97708decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97709decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97710 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797711 model = cd_fast.enet_coordinate_descent_gram(9771297713decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97714decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97715decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97716decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97717decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97718decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97719decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97720 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0897721 model = cd_fast.enet_coordinate_descent_gram(9772297723decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97724decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97725decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97726decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97727decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97728decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97729decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97730 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0897731 model = cd_fast.enet_coordinate_descent_gram(9773297733decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97734decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97735decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97736decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97737decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97738decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97739decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97740 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0797741 model = cd_fast.enet_coordinate_descent_gram(9774297743decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd]97744decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd]97745decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd]97746decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd]97747decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd]97748decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97749decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97750decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97751 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797752 model = cd_fast.enet_coordinate_descent_gram(9775397754neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba97755neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba97756 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 0.97757 warnings.warn(9775897759decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97760decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97761decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97762decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97763 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0797764 model = cd_fast.enet_coordinate_descent_gram(9776597766decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97767decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97768decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97769 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797770 model = cd_fast.enet_coordinate_descent_gram(9777197772decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd]97773 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897774 model = cd_fast.enet_coordinate_descent_gram(9777597776decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97777 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897778 model = cd_fast.enet_coordinate_descent_gram(9777997780decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97781decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97782decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97783 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0797784 model = cd_fast.enet_coordinate_descent_gram(9778597786decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97787 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897788 model = cd_fast.enet_coordinate_descent_gram(9778997790decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97791decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97792 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797793 model = cd_fast.enet_coordinate_descent_gram(9779497795decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97796decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97797 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797798 model = cd_fast.enet_coordinate_descent_gram(9779997800decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd]97801decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97802 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797803 model = cd_fast.enet_coordinate_descent_gram(9780497805neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice]97806neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice]97807 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 dice97808 warnings.warn(msg, DataConversionWarning)9780997810neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard]97811neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard]97812 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 jaccard97813 warnings.warn(msg, DataConversionWarning)9781497815neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto]97816neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto]97817 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 rogerstanimoto97818 warnings.warn(msg, DataConversionWarning)9781997820neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao]97821neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao]97822 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 russellrao97823 warnings.warn(msg, DataConversionWarning)9782497825neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath]97826neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath]97827 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 sokalsneath97828 warnings.warn(msg, DataConversionWarning)9782997830decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97831 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0897832 model = cd_fast.enet_coordinate_descent_gram(9783397834decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97835 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797836 model = cd_fast.enet_coordinate_descent_gram(9783797838decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97839 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797840 model = cd_fast.enet_coordinate_descent_gram(9784197842decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97843 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797844 model = cd_fast.enet_coordinate_descent_gram(9784597846decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd]97847 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0797848 model = cd_fast.enet_coordinate_descent_gram(9784997850neighbors/tests/test_neighbors.py::test_nearest_neighbours_works_with_p_less_than_197851 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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'`.97852 warnings.warn(9785397854neighbors/tests/test_neighbors_pipeline.py::test_spectral_clustering97855neighbors/tests/test_neighbors_pipeline.py::test_spectral_embedding97856 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97857 adjacency = check_symmetric(adjacency)9785897859neighbors/tests/test_lof.py::test_n_neighbors_attribute97860 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97861 warnings.warn(9786297863neighbors/tests/test_lof.py::test_hasattr_prediction97864neighbors/tests/test_lof.py::test_hasattr_prediction97865 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97866 warnings.warn(9786797868neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_n_features_in_after_fitting]97869 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97870 warnings.warn(9787197872neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]97873neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]97874 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97875 warnings.warn(9787697877neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]97878neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]97879 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97880 warnings.warn(9788197882preprocessing/tests/test_data.py::test_quantile_transform_and_inverse97883preprocessing/tests/test_data.py::test_one_to_one_features[QuantileTransformer]97884 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97885 warnings.warn(9788697887preprocessing/tests/test_data.py::test_quantile_transform_and_inverse97888 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97889 warnings.warn(9789097891preprocessing/tests/test_data.py::test_quantile_transform_nan97892 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97893 warnings.warn(9789497895preprocessing/tests/test_data.py::test_quantile_transform_nan97896 /nix/store/djig1nih7wba6mbggx574kv9aaxrxaps-python3.14-numpy-2.5.2/lib/python3.14/site-packages/numpy/lib/_nanfunctions_impl.py:1593: RuntimeWarning: All-NaN slice encountered97897 return fnb._ureduce(a,9789897899neighbors/tests/test_nca.py::test_callback97900 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 LIMIT97901 warn(9790297903neighbors/tests/test_nearest_centroid.py::test_features_zero_var97904neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[array]97905neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_matrix]97906neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_array]97907 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97908 warnings.warn(9790997910metrics/tests/test_ranking.py::test_precision_recall_curve_drop_intermediate97911 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97912 warnings.warn(9791397914model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]97915model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]97916model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]97917model_selection/tests/test_search.py::test_search_cv_sample_weight_equivalence[estimator1]97918model_selection/tests/test_search.py::test_search_cv_sample_weight_equivalence[estimator1]97919model_selection/tests/test_search.py::test_empty_cv_iterator_error97920model_selection/tests/test_search.py::test_random_search_bad_cv97921 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97922 warnings.warn(9792397924model_selection/tests/test_search.py: 30 warnings97925svm/tests/test_svm.py: 16 warnings97926tests/test_calibration.py: 16 warnings97927feature_selection/tests/test_rfe.py: 47 warnings97928 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97929 warnings.warn(9793097931metrics/tests/test_regression.py::test_multioutput_regression97932 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 divide97933 - np.abs(y_true[:, i] - y_pred[:, i]).sum()9793497935metrics/tests/test_regression.py::test_multioutput_regression97936metrics/tests/test_regression.py::test_multioutput_regression97937metrics/tests/test_regression.py::test_multioutput_regression97938metrics/tests/test_regression.py::test_regression_metrics_at_limits97939metrics/tests/test_regression.py::test_regression_metrics_at_limits97940metrics/tests/test_regression.py::test_regression_multioutput_array97941metrics/tests/test_regression.py::test_regression_multioutput_array97942metrics/tests/test_regression.py::test_regression_multioutput_array97943metrics/tests/test_regression.py::test_regression_multioutput_array97944 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_regression.py:956: RuntimeWarning: invalid value encountered in divide97945 output_scores = 1 - (numerator / denominator)9794697947metrics/tests/test_regression.py::test_multioutput_regression97948metrics/tests/test_regression.py::test_regression_metrics_at_limits97949metrics/tests/test_regression.py::test_regression_metrics_at_limits97950metrics/tests/test_regression.py::test_regression_multioutput_array97951 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_regression.py:956: RuntimeWarning: divide by zero encountered in divide97952 output_scores = 1 - (numerator / denominator)9795397954model_selection/tests/test_search.py: 4 warnings97955model_selection/tests/test_successive_halving.py: 1 warning97956tests/test_metaestimators_metadata_routing.py: 8 warnings97957 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97958 warnings.warn(9795997960ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]97961ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]97962ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]97963ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]97964 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97965 warn(9796697967ensemble/tests/test_forest.py::test_oob_not_computed_twice[RandomForestRegressor]97968 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97969 warn(9797097971model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97972model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97973model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97974model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97975model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97976model_selection/tests/test_search.py::test_random_search_cv_results_multimetric97977 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.97978 warnings.warn(9797997980model_selection/tests/test_search.py: 10 warnings97981 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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: 97982 Traceback (most recent call last):97983 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score97984 scores = scorer(estimator, X_test, y_test, **score_params)97985 TypeError: test_unsupported_sample_weight_scorer.<locals>.fake_score_func() takes 2 positional arguments but 3 were given97986 97987 warnings.warn(9798897989model_selection/tests/test_search.py::test_unsupported_sample_weight_scorer97990model_selection/tests/test_search.py::test_search_cv_results_none_param97991 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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]97992 warnings.warn(9799397994preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0]97995preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0]97996preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3]97997preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3]97998preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6]97999preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6]98000preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8]98001preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8]98002 /nix/store/519w1q6p5r3r7xg9pvdyffc2faxk0i8s-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 inefficient98003 A = self._coo_container(arg1, dtype=dtype, shape=shape).todia()9800498005preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]98006preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]98007 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/extmath.py:1211: RuntimeWarning: invalid value encountered in divide98008 updated_mean = (last_sum + new_sum) / updated_sample_count9800998010preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]98011preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]98012 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/extmath.py:1216: RuntimeWarning: invalid value encountered in divide98013 T = new_sum / new_sample_count9801498015preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]98016preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]98017 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/extmath.py:1240: RuntimeWarning: invalid value encountered in divide98018 new_unnormalized_variance -= correction**2 / new_sample_count9801998020model_selection/tests/test_search.py::test_grid_search_failing_classifier98021 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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]98022 warnings.warn(9802398024model_selection/tests/test_search.py: 1 warning98025model_selection/tests/test_validation.py: 15 warnings98026 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 log98027 return np.log(self.predict_proba(X))9802898029model_selection/tests/test_search.py::test_search_estimator_param[RandomizedSearchCV-param_distributions]98030model_selection/tests/test_search.py::test_multi_metric_search_forwards_metadata[RandomizedSearchCV-param_distributions]98031model_selection/tests/test_search.py::test_score_rejects_params_with_no_routing_enabled[RandomizedSearchCV-param_distributions]98032 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98033 warnings.warn(9803498035preprocessing/tests/test_data.py::test_transformer_inverse_transform_shape_error[QuantileTransformer]98036 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98037 warnings.warn(9803898039preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5]98040 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98041 warnings.warn(9804298043preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5]98044 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98045 warnings.warn(9804698047preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5]98048 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98049 warnings.warn(9805098051preprocessing/tests/test_discretization.py::test_kbinsdiscretizer_subsample_default98052preprocessing/tests/test_discretization.py::test_kbinsdiscretizer_subsample_default98053 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98054 warnings.warn(9805598056ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor]98057ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor]98058 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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().98059 return fit_method(estimator, *args, **kwargs)9806098061preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown[warn]98062preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn]98063preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn]98064 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98065 warnings.warn(msg, UserWarning)9806698067preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown_strings[warn]98068preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-warn]98069preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[numeric-warn]98070preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-warn]98071preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-none-warn]98072preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-nan-warn]98073preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-None-and-nan-warn]98074 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98075 warnings.warn(msg, UserWarning)9807698077preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn]98078preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn]98079 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98080 warnings.warn(msg, UserWarning)9808198082mixture/tests/test_gaussian_mixture.py::test_regularisation98083mixture/tests/test_gaussian_mixture.py::test_regularisation98084mixture/tests/test_gaussian_mixture.py::test_regularisation98085mixture/tests/test_gaussian_mixture.py::test_regularisation98086mixture/tests/test_gaussian_mixture.py::test_regularisation98087mixture/tests/test_gaussian_mixture.py::test_regularisation98088mixture/tests/test_gaussian_mixture.py::test_regularisation98089mixture/tests/test_gaussian_mixture.py::test_regularisation98090 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98091 return fit_method(estimator, *args, **kwargs)9809298093ensemble/tests/test_forest.py::test_round_samples_to_one_when_samples_too_low[balanced_subsample]98094ensemble/tests/test_forest.py::test_round_samples_to_one_when_samples_too_low[None]98095 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98096 warn(9809798098model_selection/tests/test_search.py: 13 warnings98099 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98100 warnings.warn(9810198102model_selection/tests/test_search.py: 13 warnings98103 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98104 warnings.warn(9810598106mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_setting_best_params98107mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator0]98108mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator1]98109 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98110 warnings.warn(9811198112model_selection/tests/test_search.py: 17 warnings98113 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98114 warnings.warn(9811598116model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-True]98117model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-True]98118model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-True]98119model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-False]98120model_selection/tests/test_search.py::test_search_callbacks_no_propagation[search3-False]98121 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98122 warnings.warn(9812398124model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight98125model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight98126model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight98127model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight98128 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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: 98129 Traceback (most recent call last):98130 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score98131 scores = scorer(estimator, X_test, y_test, **score_params)98132 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 80, in inner_f98133 return f(*args, **kwargs)98134 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 322, in __call__98135 return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)98136 ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^98137 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 463, in _score98138 return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)98139 ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^98140 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_param_validation.py", line 218, in wrapper98141 return func(*args, **kwargs)98142 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py", line 405, in accuracy_score98143 y_type, _, y_true, y_pred, sample_weight = _check_targets(98144 ~~~~~~~~~~~~~~^98145 y_true, y_pred, sample_weight98146 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^98147 )98148 ^98149 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_classification.py", line 134, in _check_targets98150 raise ValueError(98151 ...<3 lines>...98152 )98153 ValueError: Classification metrics can't handle a mix of binary and continuous targets98154 98155 warnings.warn(9815698157model_selection/tests/test_search.py::test_search_callbacks_receive_sample_weight98158 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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]98159 warnings.warn(9816098161svm/tests/test_svm.py::test_svc_nonfinite_params[42]98162 /nix/store/djig1nih7wba6mbggx574kv9aaxrxaps-python3.14-numpy-2.5.2/lib/python3.14/site-packages/numpy/_core/_methods.py:168: RuntimeWarning: overflow encountered in reduce98163 arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where)9816498165svm/tests/test_svm.py::test_consistent_decision_function[42]98166svm/tests/test_svm.py::test_consistent_decision_function[42]98167 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98168 warnings.warn(9816998170tests/test_build.py::test_extension_type_module98171 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98172 warnings.warn(9817398174model_selection/tests/test_split.py: 14 warnings98175 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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=4.98176 warnings.warn(9817798178model_selection/tests/test_split.py: 14 warnings98179 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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=6.98180 warnings.warn(9818198182model_selection/tests/test_split.py: 14 warnings98183 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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=7.98184 warnings.warn(9818598186model_selection/tests/test_split.py: 14 warnings98187 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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=4.98188 warnings.warn(9818998190model_selection/tests/test_split.py: 14 warnings98191 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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=6.98192 warnings.warn(9819398194model_selection/tests/test_split.py: 14 warnings98195 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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=7.98196 warnings.warn(9819798198tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_one_label_sample_weights]98199 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/naive_bayes.py:537: RuntimeWarning: divide by zero encountered in log98200 jointi = xp.log(self.class_prior_[i])9820198202tests/test_calibration.py: 15 warnings98203 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98204 warnings.warn(9820598206tests/test_calibration.py::test_calibration_less_classes[False]98207tests/test_calibration.py::test_calibration_less_classes[False]98208 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 folds98209 warnings.warn(9821098211linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[42-True-1-1e-06]98212 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-1298213 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.98214 model = cd_fast.enet_coordinate_descent_gram(9821598216linear_model/tests/test_huber.py::test_huber_max_iter98217 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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):98218 STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT98219 98220 Increase the number of iterations to improve the convergence (max_iter=1).98221 You might also want to scale the data as shown in:98222 https://scikit-learn.org/stable/modules/preprocessing.html98223 self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)9822498225tests/test_common.py: 8 warnings98226ensemble/tests/test_weight_boosting.py: 9 warnings98227 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_weight_boosting.py:566: RuntimeWarning: divide by zero encountered in log98228 np.log(sample_weight)9822998230tests/test_common.py: 16 warnings98231 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/decomposition/_pca.py:584: RuntimeWarning: invalid value encountered in divide98232 explained_variance_ = (S**2) / (n_samples - 1)9823398234model_selection/tests/test_successive_halving.py::test_input_errors[params1-Cannot use parameter a as the resource since it is part of-HalvingRandomSearchCV]98235 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98236 warnings.warn(9823798238model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]98239model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]98240model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]98241model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]98242 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98243 warnings.warn(9824498245model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]98246model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]98247model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]98248 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98249 warnings.warn(9825098251model_selection/tests/test_validation.py: 124 warnings98252 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 StratifiedKFold98253 warnings.warn(9825498255linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-0.001]98256linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-0.1]98257linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1]98258linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-10]98259linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-100]98260linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1000]98261linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1000000.0]98262 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98263 warnings.warn(9826498265linear_model/tests/test_logistic.py::test_l1_ratio_non_elasticnet98266 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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=0.5. penalty is deprecated. Please use l1_ratio only.98267 warnings.warn(9826898269tests/test_common.py: 23 warnings98270 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_bicluster.py:31: RuntimeWarning: divide by zero encountered in divide98271 row_diag = np.asarray(1.0 / np.sqrt(X.sum(axis=1))).squeeze()9827298273tests/test_common.py::test_estimators[SpectralCoclustering(n_clusters=2,n_init=2)-check_estimator_sparse_array]98274tests/test_common.py::test_estimators[SpectralCoclustering(n_clusters=2,n_init=2)-check_estimator_sparse_matrix]98275 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/cluster/_bicluster.py:346: RuntimeWarning: invalid value encountered in multiply98276 z = np.vstack((row_diag[:, np.newaxis] * u, col_diag[:, np.newaxis] * v))9827798278tests/test_common.py::test_transformers_get_feature_names_out[FastICA(max_iter=5)]98279tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]98280tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]98281tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]98282tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]98283 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98284 warnings.warn(9828598286tests/test_common.py::test_transformers_get_feature_names_out[Isomap()]98287 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98288 self._fit_transform(X)9828998290tests/test_common.py::test_transformers_get_feature_names_out[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]98291tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]98292tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]98293tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]98294tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]98295 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98296 warnings.warn(9829798298tests/test_common.py::test_transformers_get_feature_names_out[Nystroem()]98299tests/test_common.py::test_set_output_transform[Nystroem()]98300tests/test_common.py::test_set_output_transform[Nystroem()]98301tests/test_common.py::test_set_output_transform[Nystroem()]98302tests/test_common.py::test_set_output_transform[Nystroem()]98303 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98304 n_components was set to n_samples, which results in inefficient evaluation of the full kernel.98305 warnings.warn(9830698307model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape98308 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 folds98309 warnings.warn(9831098311model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape98312model_selection/tests/test_validation.py::test_cross_val_predict_class_subset98313model_selection/tests/test_validation.py::test_cross_val_predict_class_subset98314 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 folds98315 warnings.warn(9831698317tests/test_common.py::test_transformers_get_feature_names_out[QuantileTransformer()]98318 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98319 warnings.warn(9832098321model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced98322model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced98323 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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=2.98324 warnings.warn(9832598326model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced98327 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 folds98328 warnings.warn(9832998330tests/test_common.py::test_check_inplace_ensure_writeable[AffinityPropagation(max_iter=5)]98331 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.98332 warnings.warn(9833398334tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98335 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398336 model = cd_fast.enet_coordinate_descent_gram(9833798338tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98339 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398340 model = cd_fast.enet_coordinate_descent_gram(9834198342tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98343 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398344 model = cd_fast.enet_coordinate_descent_gram(9834598346tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98347 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398348 model = cd_fast.enet_coordinate_descent_gram(9834998350tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98351 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398352 model = cd_fast.enet_coordinate_descent_gram(9835398354tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98355 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398356 model = cd_fast.enet_coordinate_descent_gram(9835798358tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98359 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398360 model = cd_fast.enet_coordinate_descent_gram(9836198362tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98363 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398364 model = cd_fast.enet_coordinate_descent_gram(9836598366tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98367 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398368 model = cd_fast.enet_coordinate_descent_gram(9836998370tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98371 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398372 model = cd_fast.enet_coordinate_descent_gram(9837398374tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98375 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398376 model = cd_fast.enet_coordinate_descent_gram(9837798378tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98379 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398380 model = cd_fast.enet_coordinate_descent_gram(9838198382tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98383 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398384 model = cd_fast.enet_coordinate_descent_gram(9838598386tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98387 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398388 model = cd_fast.enet_coordinate_descent_gram(9838998390tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98391 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398392 model = cd_fast.enet_coordinate_descent_gram(9839398394tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98395 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398396 model = cd_fast.enet_coordinate_descent_gram(9839798398tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98399 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398400 model = cd_fast.enet_coordinate_descent_gram(9840198402tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98403 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398404 model = cd_fast.enet_coordinate_descent_gram(9840598406tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98407 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398408 model = cd_fast.enet_coordinate_descent_gram(9840998410tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98411 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398412 model = cd_fast.enet_coordinate_descent_gram(9841398414tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98415 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398416 model = cd_fast.enet_coordinate_descent_gram(9841798418tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98419 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398420 model = cd_fast.enet_coordinate_descent_gram(9842198422tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98423 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398424 model = cd_fast.enet_coordinate_descent_gram(9842598426tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98427 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398428 model = cd_fast.enet_coordinate_descent_gram(9842998430tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98431 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398432 model = cd_fast.enet_coordinate_descent_gram(9843398434tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98435 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398436 model = cd_fast.enet_coordinate_descent_gram(9843798438tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98439 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398440 model = cd_fast.enet_coordinate_descent_gram(9844198442tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98443 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398444 model = cd_fast.enet_coordinate_descent_gram(9844598446tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98447 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398448 model = cd_fast.enet_coordinate_descent_gram(9844998450tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98451 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398452 model = cd_fast.enet_coordinate_descent_gram(9845398454tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98455 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398456 model = cd_fast.enet_coordinate_descent_gram(9845798458tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98459 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398460 model = cd_fast.enet_coordinate_descent_gram(9846198462tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98463 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398464 model = cd_fast.enet_coordinate_descent_gram(9846598466tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98467 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398468 model = cd_fast.enet_coordinate_descent_gram(9846998470tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98471 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398472 model = cd_fast.enet_coordinate_descent_gram(9847398474tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98475 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398476 model = cd_fast.enet_coordinate_descent_gram(9847798478tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98479 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398480 model = cd_fast.enet_coordinate_descent_gram(9848198482tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98483 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398484 model = cd_fast.enet_coordinate_descent_gram(9848598486tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98487 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398488 model = cd_fast.enet_coordinate_descent_gram(9848998490tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98491 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398492 model = cd_fast.enet_coordinate_descent_gram(9849398494tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98495 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398496 model = cd_fast.enet_coordinate_descent_gram(9849798498tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98499 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398500 model = cd_fast.enet_coordinate_descent_gram(9850198502tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98503 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398504 model = cd_fast.enet_coordinate_descent_gram(9850598506tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98507 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398508 model = cd_fast.enet_coordinate_descent_gram(9850998510tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98511 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398512 model = cd_fast.enet_coordinate_descent_gram(9851398514tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98515 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398516 model = cd_fast.enet_coordinate_descent_gram(9851798518tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98519 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398520 model = cd_fast.enet_coordinate_descent_gram(9852198522tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98523 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398524 model = cd_fast.enet_coordinate_descent_gram(9852598526tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98527 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398528 model = cd_fast.enet_coordinate_descent_gram(9852998530tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98531 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398532 model = cd_fast.enet_coordinate_descent_gram(9853398534tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98535 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398536 model = cd_fast.enet_coordinate_descent_gram(9853798538tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98539 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398540 model = cd_fast.enet_coordinate_descent_gram(9854198542tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98543 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398544 model = cd_fast.enet_coordinate_descent_gram(9854598546tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98547 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398548 model = cd_fast.enet_coordinate_descent_gram(9854998550tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98551 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398552 model = cd_fast.enet_coordinate_descent_gram(9855398554tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98555 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398556 model = cd_fast.enet_coordinate_descent_gram(9855798558tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98559 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398560 model = cd_fast.enet_coordinate_descent_gram(9856198562tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98563 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398564 model = cd_fast.enet_coordinate_descent_gram(9856598566tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98567 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398568 model = cd_fast.enet_coordinate_descent_gram(9856998570tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98571 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398572 model = cd_fast.enet_coordinate_descent_gram(9857398574tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98575 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398576 model = cd_fast.enet_coordinate_descent_gram(9857798578tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98579 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398580 model = cd_fast.enet_coordinate_descent_gram(9858198582tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98583 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398584 model = cd_fast.enet_coordinate_descent_gram(9858598586tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98587 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398588 model = cd_fast.enet_coordinate_descent_gram(9858998590tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98591 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398592 model = cd_fast.enet_coordinate_descent_gram(9859398594tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98595 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398596 model = cd_fast.enet_coordinate_descent_gram(9859798598tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98599 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398600 model = cd_fast.enet_coordinate_descent_gram(9860198602tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98603 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398604 model = cd_fast.enet_coordinate_descent_gram(9860598606tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98607 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398608 model = cd_fast.enet_coordinate_descent_gram(9860998610tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98611 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398612 model = cd_fast.enet_coordinate_descent_gram(9861398614tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98615 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398616 model = cd_fast.enet_coordinate_descent_gram(9861798618tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98619 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398620 model = cd_fast.enet_coordinate_descent_gram(9862198622tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98623 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398624 model = cd_fast.enet_coordinate_descent_gram(9862598626tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98627 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398628 model = cd_fast.enet_coordinate_descent_gram(9862998630tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98631 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398632 model = cd_fast.enet_coordinate_descent_gram(9863398634tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98635 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398636 model = cd_fast.enet_coordinate_descent_gram(9863798638tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98639 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398640 model = cd_fast.enet_coordinate_descent_gram(9864198642tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98643 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398644 model = cd_fast.enet_coordinate_descent_gram(9864598646tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98647 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398648 model = cd_fast.enet_coordinate_descent_gram(9864998650tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98651 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398652 model = cd_fast.enet_coordinate_descent_gram(9865398654tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98655 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398656 model = cd_fast.enet_coordinate_descent_gram(9865798658tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98659 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398660 model = cd_fast.enet_coordinate_descent_gram(9866198662tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98663 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398664 model = cd_fast.enet_coordinate_descent_gram(9866598666tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98667 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398668 model = cd_fast.enet_coordinate_descent_gram(9866998670tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98671 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398672 model = cd_fast.enet_coordinate_descent_gram(9867398674tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98675 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398676 model = cd_fast.enet_coordinate_descent_gram(9867798678tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]98679 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398680 model = cd_fast.enet_coordinate_descent_gram(9868198682tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98683 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398684 model = cd_fast.enet_coordinate_descent_gram(9868598686tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98687 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398688 model = cd_fast.enet_coordinate_descent_gram(9868998690tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98691 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398692 model = cd_fast.enet_coordinate_descent_gram(9869398694tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98695 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398696 model = cd_fast.enet_coordinate_descent_gram(9869798698tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98699 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398700 model = cd_fast.enet_coordinate_descent_gram(9870198702tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98703 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398704 model = cd_fast.enet_coordinate_descent_gram(9870598706tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98707 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398708 model = cd_fast.enet_coordinate_descent_gram(9870998710tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98711 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398712 model = cd_fast.enet_coordinate_descent_gram(9871398714tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98715 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398716 model = cd_fast.enet_coordinate_descent_gram(9871798718tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98719 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398720 model = cd_fast.enet_coordinate_descent_gram(9872198722tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98723 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398724 model = cd_fast.enet_coordinate_descent_gram(9872598726tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98727 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398728 model = cd_fast.enet_coordinate_descent_gram(9872998730tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98731 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398732 model = cd_fast.enet_coordinate_descent_gram(9873398734tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98735 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398736 model = cd_fast.enet_coordinate_descent_gram(9873798738tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98739 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398740 model = cd_fast.enet_coordinate_descent_gram(9874198742tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98743 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398744 model = cd_fast.enet_coordinate_descent_gram(9874598746tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98747 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398748 model = cd_fast.enet_coordinate_descent_gram(9874998750tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98751 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398752 model = cd_fast.enet_coordinate_descent_gram(9875398754tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98755 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398756 model = cd_fast.enet_coordinate_descent_gram(9875798758tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98759 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398760 model = cd_fast.enet_coordinate_descent_gram(9876198762tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98763 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398764 model = cd_fast.enet_coordinate_descent_gram(9876598766tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98767 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398768 model = cd_fast.enet_coordinate_descent_gram(9876998770tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98771 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398772 model = cd_fast.enet_coordinate_descent_gram(9877398774tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98775 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398776 model = cd_fast.enet_coordinate_descent_gram(9877798778tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98779 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398780 model = cd_fast.enet_coordinate_descent_gram(9878198782tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98783 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398784 model = cd_fast.enet_coordinate_descent_gram(9878598786tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98787 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398788 model = cd_fast.enet_coordinate_descent_gram(9878998790tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98791 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398792 model = cd_fast.enet_coordinate_descent_gram(9879398794tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98795 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398796 model = cd_fast.enet_coordinate_descent_gram(9879798798tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98799 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398800 model = cd_fast.enet_coordinate_descent_gram(9880198802tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98803 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398804 model = cd_fast.enet_coordinate_descent_gram(9880598806tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98807 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective did 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-0398808 model = cd_fast.enet_coordinate_descent_gram(9880998810tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98811 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398812 model = cd_fast.enet_coordinate_descent_gram(9881398814tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98815 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398816 model = cd_fast.enet_coordinate_descent_gram(9881798818tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98819 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398820 model = cd_fast.enet_coordinate_descent_gram(9882198822tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98823 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398824 model = cd_fast.enet_coordinate_descent_gram(9882598826tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98827 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398828 model = cd_fast.enet_coordinate_descent_gram(9882998830tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98831 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398832 model = cd_fast.enet_coordinate_descent_gram(9883398834tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98835 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398836 model = cd_fast.enet_coordinate_descent_gram(9883798838tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98839 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398840 model = cd_fast.enet_coordinate_descent_gram(9884198842tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98843 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398844 model = cd_fast.enet_coordinate_descent_gram(9884598846tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98847 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398848 model = cd_fast.enet_coordinate_descent_gram(9884998850tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98851 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398852 model = cd_fast.enet_coordinate_descent_gram(9885398854tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98855 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398856 model = cd_fast.enet_coordinate_descent_gram(9885798858tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98859 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398860 model = cd_fast.enet_coordinate_descent_gram(9886198862tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98863 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398864 model = cd_fast.enet_coordinate_descent_gram(9886598866tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98867 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398868 model = cd_fast.enet_coordinate_descent_gram(9886998870tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98871 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398872 model = cd_fast.enet_coordinate_descent_gram(9887398874tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98875 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398876 model = cd_fast.enet_coordinate_descent_gram(9887798878tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98879 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398880 model = cd_fast.enet_coordinate_descent_gram(9888198882tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98883 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398884 model = cd_fast.enet_coordinate_descent_gram(9888598886tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98887 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398888 model = cd_fast.enet_coordinate_descent_gram(9888998890tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98891 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398892 model = cd_fast.enet_coordinate_descent_gram(9889398894tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98895 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398896 model = cd_fast.enet_coordinate_descent_gram(9889798898tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98899 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398900 model = cd_fast.enet_coordinate_descent_gram(9890198902tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98903 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398904 model = cd_fast.enet_coordinate_descent_gram(9890598906tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98907 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398908 model = cd_fast.enet_coordinate_descent_gram(9890998910tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98911 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398912 model = cd_fast.enet_coordinate_descent_gram(9891398914tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98915 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398916 model = cd_fast.enet_coordinate_descent_gram(9891798918tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98919 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398920 model = cd_fast.enet_coordinate_descent_gram(9892198922tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98923 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398924 model = cd_fast.enet_coordinate_descent_gram(9892598926tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98927 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398928 model = cd_fast.enet_coordinate_descent_gram(9892998930tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98931 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398932 model = cd_fast.enet_coordinate_descent_gram(9893398934tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98935 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398936 model = cd_fast.enet_coordinate_descent_gram(9893798938tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98939 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398940 model = cd_fast.enet_coordinate_descent_gram(9894198942tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98943 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398944 model = cd_fast.enet_coordinate_descent_gram(9894598946tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98947 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398948 model = cd_fast.enet_coordinate_descent_gram(9894998950tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98951 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398952 model = cd_fast.enet_coordinate_descent_gram(9895398954tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98955 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398956 model = cd_fast.enet_coordinate_descent_gram(9895798958tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98959 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398960 model = cd_fast.enet_coordinate_descent_gram(9896198962tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98963 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398964 model = cd_fast.enet_coordinate_descent_gram(9896598966tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98967 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398968 model = cd_fast.enet_coordinate_descent_gram(9896998970tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98971 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398972 model = cd_fast.enet_coordinate_descent_gram(9897398974tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98975 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398976 model = cd_fast.enet_coordinate_descent_gram(9897798978tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98979 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398980 model = cd_fast.enet_coordinate_descent_gram(9898198982tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98983 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398984 model = cd_fast.enet_coordinate_descent_gram(9898598986tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98987 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398988 model = cd_fast.enet_coordinate_descent_gram(9898998990tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98991 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398992 model = cd_fast.enet_coordinate_descent_gram(9899398994tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98995 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0398996 model = cd_fast.enet_coordinate_descent_gram(9899798998tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]98999 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0399000 model = cd_fast.enet_coordinate_descent_gram(9900199002tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]99003 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0399004 model = cd_fast.enet_coordinate_descent_gram(9900599006tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]99007 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0399008 model = cd_fast.enet_coordinate_descent_gram(9900999010tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]99011 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0399012 model = cd_fast.enet_coordinate_descent_gram(9901399014tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]99015 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0399016 model = cd_fast.enet_coordinate_descent_gram(9901799018tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]99019 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0399020 model = cd_fast.enet_coordinate_descent_gram(9902199022tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]99023 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0399024 model = cd_fast.enet_coordinate_descent_gram(9902599026tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]99027 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:825: ConvergenceWarning: Objective 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-0399028 model = cd_fast.enet_coordinate_descent_gram(9902999030tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99031 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399032 model = cd_fast.enet_coordinate_descent_multi_task(9903399034tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99035 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399036 model = cd_fast.enet_coordinate_descent_multi_task(9903799038tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99039 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399040 model = cd_fast.enet_coordinate_descent_multi_task(9904199042tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99043 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399044 model = cd_fast.enet_coordinate_descent_multi_task(9904599046tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99047 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399048 model = cd_fast.enet_coordinate_descent_multi_task(9904999050tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99051 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399052 model = cd_fast.enet_coordinate_descent_multi_task(9905399054tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99055 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399056 model = cd_fast.enet_coordinate_descent_multi_task(9905799058tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99059 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399060 model = cd_fast.enet_coordinate_descent_multi_task(9906199062tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99063 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399064 model = cd_fast.enet_coordinate_descent_multi_task(9906599066tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99067 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399068 model = cd_fast.enet_coordinate_descent_multi_task(9906999070tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99071 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399072 model = cd_fast.enet_coordinate_descent_multi_task(9907399074tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99075 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399076 model = cd_fast.enet_coordinate_descent_multi_task(9907799078tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99079 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399080 model = cd_fast.enet_coordinate_descent_multi_task(9908199082tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99083 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399084 model = cd_fast.enet_coordinate_descent_multi_task(9908599086tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99087 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399088 model = cd_fast.enet_coordinate_descent_multi_task(9908999090tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99091 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399092 model = cd_fast.enet_coordinate_descent_multi_task(9909399094tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99095 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399096 model = cd_fast.enet_coordinate_descent_multi_task(9909799098tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99099 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399100 model = cd_fast.enet_coordinate_descent_multi_task(9910199102tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99103 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399104 model = cd_fast.enet_coordinate_descent_multi_task(9910599106tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99107 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399108 model = cd_fast.enet_coordinate_descent_multi_task(9910999110tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99111 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399112 model = cd_fast.enet_coordinate_descent_multi_task(9911399114tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99115 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399116 model = cd_fast.enet_coordinate_descent_multi_task(9911799118tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99119 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399120 model = cd_fast.enet_coordinate_descent_multi_task(9912199122tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99123 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399124 model = cd_fast.enet_coordinate_descent_multi_task(9912599126tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99127 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399128 model = cd_fast.enet_coordinate_descent_multi_task(9912999130tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99131 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399132 model = cd_fast.enet_coordinate_descent_multi_task(9913399134tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99135 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399136 model = cd_fast.enet_coordinate_descent_multi_task(9913799138tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99139 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399140 model = cd_fast.enet_coordinate_descent_multi_task(9914199142tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99143 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399144 model = cd_fast.enet_coordinate_descent_multi_task(9914599146tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99147 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399148 model = cd_fast.enet_coordinate_descent_multi_task(9914999150tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99151 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399152 model = cd_fast.enet_coordinate_descent_multi_task(9915399154tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99155 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399156 model = cd_fast.enet_coordinate_descent_multi_task(9915799158tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99159 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399160 model = cd_fast.enet_coordinate_descent_multi_task(9916199162tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99163 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399164 model = cd_fast.enet_coordinate_descent_multi_task(9916599166tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99167 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399168 model = cd_fast.enet_coordinate_descent_multi_task(9916999170tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99171 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399172 model = cd_fast.enet_coordinate_descent_multi_task(9917399174tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99175 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399176 model = cd_fast.enet_coordinate_descent_multi_task(9917799178tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99179 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399180 model = cd_fast.enet_coordinate_descent_multi_task(9918199182tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99183 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399184 model = cd_fast.enet_coordinate_descent_multi_task(9918599186tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99187 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399188 model = cd_fast.enet_coordinate_descent_multi_task(9918999190tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99191 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399192 model = cd_fast.enet_coordinate_descent_multi_task(9919399194tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99195 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399196 model = cd_fast.enet_coordinate_descent_multi_task(9919799198tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99199 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399200 model = cd_fast.enet_coordinate_descent_multi_task(9920199202tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99203 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399204 model = cd_fast.enet_coordinate_descent_multi_task(9920599206tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99207 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399208 model = cd_fast.enet_coordinate_descent_multi_task(9920999210tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99211 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399212 model = cd_fast.enet_coordinate_descent_multi_task(9921399214tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99215 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399216 model = cd_fast.enet_coordinate_descent_multi_task(9921799218tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99219 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399220 model = cd_fast.enet_coordinate_descent_multi_task(9922199222tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99223 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399224 model = cd_fast.enet_coordinate_descent_multi_task(9922599226tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99227 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399228 model = cd_fast.enet_coordinate_descent_multi_task(9922999230tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99231 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399232 model = cd_fast.enet_coordinate_descent_multi_task(9923399234tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99235 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399236 model = cd_fast.enet_coordinate_descent_multi_task(9923799238tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99239 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399240 model = cd_fast.enet_coordinate_descent_multi_task(9924199242tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99243 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399244 model = cd_fast.enet_coordinate_descent_multi_task(9924599246tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99247 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399248 model = cd_fast.enet_coordinate_descent_multi_task(9924999250tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99251 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399252 model = cd_fast.enet_coordinate_descent_multi_task(9925399254tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99255 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399256 model = cd_fast.enet_coordinate_descent_multi_task(9925799258tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99259 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399260 model = cd_fast.enet_coordinate_descent_multi_task(9926199262tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99263 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399264 model = cd_fast.enet_coordinate_descent_multi_task(9926599266tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99267 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399268 model = cd_fast.enet_coordinate_descent_multi_task(9926999270tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99271 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399272 model = cd_fast.enet_coordinate_descent_multi_task(9927399274tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99275 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399276 model = cd_fast.enet_coordinate_descent_multi_task(9927799278tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99279 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399280 model = cd_fast.enet_coordinate_descent_multi_task(9928199282tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99283 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399284 model = cd_fast.enet_coordinate_descent_multi_task(9928599286tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99287 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399288 model = cd_fast.enet_coordinate_descent_multi_task(9928999290tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99291 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399292 model = cd_fast.enet_coordinate_descent_multi_task(9929399294tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99295 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399296 model = cd_fast.enet_coordinate_descent_multi_task(9929799298tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99299 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399300 model = cd_fast.enet_coordinate_descent_multi_task(9930199302tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99303 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399304 model = cd_fast.enet_coordinate_descent_multi_task(9930599306tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99307 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399308 model = cd_fast.enet_coordinate_descent_multi_task(9930999310tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99311 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399312 model = cd_fast.enet_coordinate_descent_multi_task(9931399314tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99315 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399316 model = cd_fast.enet_coordinate_descent_multi_task(9931799318tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99319 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399320 model = cd_fast.enet_coordinate_descent_multi_task(9932199322tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99323 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399324 model = cd_fast.enet_coordinate_descent_multi_task(9932599326tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99327 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399328 model = cd_fast.enet_coordinate_descent_multi_task(9932999330tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99331 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399332 model = cd_fast.enet_coordinate_descent_multi_task(9933399334tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99335 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399336 model = cd_fast.enet_coordinate_descent_multi_task(9933799338tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99339 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399340 model = cd_fast.enet_coordinate_descent_multi_task(9934199342tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99343 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399344 model = cd_fast.enet_coordinate_descent_multi_task(9934599346tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99347 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399348 model = cd_fast.enet_coordinate_descent_multi_task(9934999350tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99351 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399352 model = cd_fast.enet_coordinate_descent_multi_task(9935399354tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99355 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399356 model = cd_fast.enet_coordinate_descent_multi_task(9935799358tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99359 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399360 model = cd_fast.enet_coordinate_descent_multi_task(9936199362tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99363 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399364 model = cd_fast.enet_coordinate_descent_multi_task(9936599366tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99367 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399368 model = cd_fast.enet_coordinate_descent_multi_task(9936999370tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99371 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399372 model = cd_fast.enet_coordinate_descent_multi_task(9937399374tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]99375 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399376 model = cd_fast.enet_coordinate_descent_multi_task(9937799378tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99379 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399380 model = cd_fast.enet_coordinate_descent_multi_task(9938199382tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99383 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399384 model = cd_fast.enet_coordinate_descent_multi_task(9938599386tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99387 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399388 model = cd_fast.enet_coordinate_descent_multi_task(9938999390tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99391 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399392 model = cd_fast.enet_coordinate_descent_multi_task(9939399394tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99395 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399396 model = cd_fast.enet_coordinate_descent_multi_task(9939799398tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99399 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399400 model = cd_fast.enet_coordinate_descent_multi_task(9940199402tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99403 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399404 model = cd_fast.enet_coordinate_descent_multi_task(9940599406tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99407 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399408 model = cd_fast.enet_coordinate_descent_multi_task(9940999410tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99411 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399412 model = cd_fast.enet_coordinate_descent_multi_task(9941399414tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99415 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399416 model = cd_fast.enet_coordinate_descent_multi_task(9941799418tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99419 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399420 model = cd_fast.enet_coordinate_descent_multi_task(9942199422tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99423 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399424 model = cd_fast.enet_coordinate_descent_multi_task(9942599426tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99427 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399428 model = cd_fast.enet_coordinate_descent_multi_task(9942999430tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99431 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399432 model = cd_fast.enet_coordinate_descent_multi_task(9943399434tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99435 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399436 model = cd_fast.enet_coordinate_descent_multi_task(9943799438tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99439 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399440 model = cd_fast.enet_coordinate_descent_multi_task(9944199442tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99443 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399444 model = cd_fast.enet_coordinate_descent_multi_task(9944599446tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99447 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399448 model = cd_fast.enet_coordinate_descent_multi_task(9944999450tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99451 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399452 model = cd_fast.enet_coordinate_descent_multi_task(9945399454tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99455 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399456 model = cd_fast.enet_coordinate_descent_multi_task(9945799458tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99459 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399460 model = cd_fast.enet_coordinate_descent_multi_task(9946199462tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99463 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399464 model = cd_fast.enet_coordinate_descent_multi_task(9946599466tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99467 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399468 model = cd_fast.enet_coordinate_descent_multi_task(9946999470tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99471 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399472 model = cd_fast.enet_coordinate_descent_multi_task(9947399474tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99475 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399476 model = cd_fast.enet_coordinate_descent_multi_task(9947799478tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99479 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399480 model = cd_fast.enet_coordinate_descent_multi_task(9948199482tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99483 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399484 model = cd_fast.enet_coordinate_descent_multi_task(9948599486tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99487 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399488 model = cd_fast.enet_coordinate_descent_multi_task(9948999490tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99491 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399492 model = cd_fast.enet_coordinate_descent_multi_task(9949399494tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99495 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399496 model = cd_fast.enet_coordinate_descent_multi_task(9949799498tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99499 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399500 model = cd_fast.enet_coordinate_descent_multi_task(9950199502tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99503 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective did 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-0399504 model = cd_fast.enet_coordinate_descent_multi_task(9950599506tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99507 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399508 model = cd_fast.enet_coordinate_descent_multi_task(9950999510tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99511 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399512 model = cd_fast.enet_coordinate_descent_multi_task(9951399514tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99515 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399516 model = cd_fast.enet_coordinate_descent_multi_task(9951799518tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99519 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399520 model = cd_fast.enet_coordinate_descent_multi_task(9952199522tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99523 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399524 model = cd_fast.enet_coordinate_descent_multi_task(9952599526tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99527 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399528 model = cd_fast.enet_coordinate_descent_multi_task(9952999530tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99531 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399532 model = cd_fast.enet_coordinate_descent_multi_task(9953399534tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99535 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399536 model = cd_fast.enet_coordinate_descent_multi_task(9953799538tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99539 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399540 model = cd_fast.enet_coordinate_descent_multi_task(9954199542tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99543 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399544 model = cd_fast.enet_coordinate_descent_multi_task(9954599546tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99547 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399548 model = cd_fast.enet_coordinate_descent_multi_task(9954999550tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99551 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399552 model = cd_fast.enet_coordinate_descent_multi_task(9955399554tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99555 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399556 model = cd_fast.enet_coordinate_descent_multi_task(9955799558tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99559 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399560 model = cd_fast.enet_coordinate_descent_multi_task(9956199562tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99563 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399564 model = cd_fast.enet_coordinate_descent_multi_task(9956599566tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99567 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399568 model = cd_fast.enet_coordinate_descent_multi_task(9956999570tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99571 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399572 model = cd_fast.enet_coordinate_descent_multi_task(9957399574tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99575 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399576 model = cd_fast.enet_coordinate_descent_multi_task(9957799578tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99579 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399580 model = cd_fast.enet_coordinate_descent_multi_task(9958199582tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99583 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399584 model = cd_fast.enet_coordinate_descent_multi_task(9958599586tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99587 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399588 model = cd_fast.enet_coordinate_descent_multi_task(9958999590tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99591 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399592 model = cd_fast.enet_coordinate_descent_multi_task(9959399594tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99595 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399596 model = cd_fast.enet_coordinate_descent_multi_task(9959799598tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99599 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399600 model = cd_fast.enet_coordinate_descent_multi_task(9960199602tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99603 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399604 model = cd_fast.enet_coordinate_descent_multi_task(9960599606tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99607 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399608 model = cd_fast.enet_coordinate_descent_multi_task(9960999610tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99611 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399612 model = cd_fast.enet_coordinate_descent_multi_task(9961399614tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99615 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399616 model = cd_fast.enet_coordinate_descent_multi_task(9961799618tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99619 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399620 model = cd_fast.enet_coordinate_descent_multi_task(9962199622tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99623 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399624 model = cd_fast.enet_coordinate_descent_multi_task(9962599626tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99627 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399628 model = cd_fast.enet_coordinate_descent_multi_task(9962999630tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99631 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399632 model = cd_fast.enet_coordinate_descent_multi_task(9963399634tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99635 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399636 model = cd_fast.enet_coordinate_descent_multi_task(9963799638tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99639 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399640 model = cd_fast.enet_coordinate_descent_multi_task(9964199642tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99643 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399644 model = cd_fast.enet_coordinate_descent_multi_task(9964599646tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99647 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399648 model = cd_fast.enet_coordinate_descent_multi_task(9964999650tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99651 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399652 model = cd_fast.enet_coordinate_descent_multi_task(9965399654tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99655 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399656 model = cd_fast.enet_coordinate_descent_multi_task(9965799658tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99659 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399660 model = cd_fast.enet_coordinate_descent_multi_task(9966199662tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99663 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399664 model = cd_fast.enet_coordinate_descent_multi_task(9966599666tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99667 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399668 model = cd_fast.enet_coordinate_descent_multi_task(9966999670tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99671 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399672 model = cd_fast.enet_coordinate_descent_multi_task(9967399674tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99675 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399676 model = cd_fast.enet_coordinate_descent_multi_task(9967799678tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99679 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399680 model = cd_fast.enet_coordinate_descent_multi_task(9968199682tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99683 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399684 model = cd_fast.enet_coordinate_descent_multi_task(9968599686tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99687 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399688 model = cd_fast.enet_coordinate_descent_multi_task(9968999690tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99691 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399692 model = cd_fast.enet_coordinate_descent_multi_task(9969399694tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99695 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399696 model = cd_fast.enet_coordinate_descent_multi_task(9969799698tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99699 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399700 model = cd_fast.enet_coordinate_descent_multi_task(9970199702tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99703 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399704 model = cd_fast.enet_coordinate_descent_multi_task(9970599706tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99707 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399708 model = cd_fast.enet_coordinate_descent_multi_task(9970999710tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99711 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399712 model = cd_fast.enet_coordinate_descent_multi_task(9971399714tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99715 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399716 model = cd_fast.enet_coordinate_descent_multi_task(9971799718tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99719 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399720 model = cd_fast.enet_coordinate_descent_multi_task(9972199722tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]99723 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:802: ConvergenceWarning: Objective 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-0399724 model = cd_fast.enet_coordinate_descent_multi_task(9972599726tests/test_common.py::test_check_inplace_ensure_writeable[QuantileTransformer()]99727 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99728 warnings.warn(9972999730tests/test_metaestimators.py: 1 warning99731tests/test_metaestimators_metadata_routing.py: 30 warnings99732 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/semi_supervised/_self_training.py:244: UserWarning: y contains no unlabeled samples99733 warnings.warn("y contains no unlabeled samples", UserWarning)9973499735tests/test_common.py::test_set_output_transform[QuantileTransformer()]99736tests/test_common.py::test_set_output_transform[QuantileTransformer()]99737tests/test_common.py::test_set_output_transform[QuantileTransformer()]99738tests/test_common.py::test_set_output_transform[QuantileTransformer()]99739 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99740 warnings.warn(9974199742ensemble/tests/test_stacking.py: 30 warnings99743 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99744 warnings.warn(9974599746tests/test_common.py: 12 warnings99747feature_selection/tests/test_from_model.py: 4 warnings99748 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99749 warnings.warn(9975099751tests/test_metaestimators.py::test_meta_estimators_delegate_data_validation[HalvingRandomSearchCV0]99752tests/test_metaestimators.py::test_meta_estimators_delegate_data_validation[HalvingRandomSearchCV2]99753 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99754 warnings.warn(9975599756model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99757model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99758model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99759model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99760model_selection/tests/test_validation.py::test_cross_val_predict_class_subset99761 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 folds99762 warnings.warn(9976399764model_selection/tests/test_validation.py::test_fit_and_score_working99765 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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: 99766 Traceback (most recent call last):99767 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99768 scores = scorer(estimator, X_test, y_test, **score_params)99769 TypeError: 'dict' object is not callable99770 99771 warnings.warn(9977299773tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]99774tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]99775tests/test_metaestimators_metadata_routing.py::test_non_consuming_estimator_works[HalvingRandomSearchCV]99776tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]99777tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]99778tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_splitter[HalvingRandomSearchCV]99779 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99780 warnings.warn(9978199782tree/tests/test_tree.py::test_multioutput[DecisionTreeClassifier-gini]99783tree/tests/test_tree.py::test_multioutput[DecisionTreeClassifier-log_loss]99784tree/tests/test_tree.py::test_multioutput[ExtraTreeClassifier-gini]99785tree/tests/test_tree.py::test_multioutput[ExtraTreeClassifier-log_loss]99786 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/_classes.py:1087: RuntimeWarning: divide by zero encountered in log99787 proba[k] = np.log(proba[k])9978899789tree/tests/test_tree.py::test_big_input99790 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/_array_api.py:976: RuntimeWarning: overflow encountered in cast99791 array = numpy.asarray(array, order=order, dtype=dtype)9979299793tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]99794tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]99795tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]99796 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/tree/tests/test_tree.py:1873: RuntimeWarning: overflow encountered in cast99797 data = xpx.nan_to_num(data.astype("float32"))9979899799tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]99800tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]99801tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]99802tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]99803 /nix/store/djig1nih7wba6mbggx574kv9aaxrxaps-python3.14-numpy-2.5.2/lib/python3.14/site-packages/numpy/_core/fromnumeric.py:83: RuntimeWarning: invalid value encountered in reduce99804 return ufunc.reduce(obj, axis, dtype, out, **passkwargs)9980599806tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]99807 /nix/store/djig1nih7wba6mbggx574kv9aaxrxaps-python3.14-numpy-2.5.2/lib/python3.14/site-packages/numpy/_core/_methods.py:49: RuntimeWarning: overflow encountered in reduce99808 return umr_sum(a, axis, dtype, out, keepdims, initial, where)9980999810utils/tests/test_estimator_checks.py::test_check_estimator_not_fail_fast99811 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 input99812 warnings.warn(9981399814utils/tests/test_estimator_checks.py::test_check_estimator_transformer_no_mixin99815 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 input99816 warnings.warn(9981799818utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99819 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99820 warnings.warn(9982199822utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99823 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 input99824 warnings.warn(9982599826utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99827 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99828 warnings.warn(9982999830utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99831 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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 input99832 warnings.warn(9983399834utils/tests/test_estimator_checks.py::test_check_estimator_pairwise99835 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99836 warnings.warn(9983799838utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests99839 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99840 warnings.warn(9984199842utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests99843 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99844 warnings.warn(9984599846utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests99847 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99848 warnings.warn(9984999850utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests99851utils/tests/test_estimator_checks.py::test_yield_all_checks_legacy99852 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99853 warnings.warn(9985499855utils/tests/test_extmath.py::test_randomized_svd_sparse_warnings[dok_matrix]99856utils/tests/test_extmath.py::test_randomized_svd_sparse_warnings[dok_array]99857 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99858 array = _ensure_sparse_format(9985999860utils/tests/test_validation.py: 16 warnings99861 /nix/store/519w1q6p5r3r7xg9pvdyffc2faxk0i8s-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.99862 self._set_intXint(row, col, x.flat[0])9986399864utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info0]99865utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info1]99866utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info2]99867feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--CountVectorizer]99868feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--TfidfVectorizer]99869feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--HashingVectorizer]99870 /nix/store/0zm37a70sfgc2zwgbwv9kv75hlv5d4lc-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.99871 super().__init__(match=match, check=check)9987299873ensemble/tests/test_weight_boosting.py::test_sample_weights_infinite99874 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/ensemble/_weight_boosting.py:565: RuntimeWarning: overflow encountered in exp99875 sample_weight = np.exp(9987699877tests/test_naive_bayes.py::test_alpha_vector99878tests/test_naive_bayes.py::test_alpha_vector99879 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99880 warnings.warn(9988199882feature_extraction/tests/test_text.py::test_vectorizer_pipeline_grid_selection99883 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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=5.99884 warnings.warn(9988599886feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-CountVectorizer]99887feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-HashingVectorizer]99888feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer]99889feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer]99890 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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'99891 warnings.warn(9989299893feature_selection/tests/test_feature_select.py::test_invalid_k99894feature_selection/tests/test_feature_select.py::test_invalid_k99895 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_selection/_univariate_selection.py:110: UserWarning: Features [0] are constant.99896 warnings.warn("Features %s are constant." % constant_features_idx, UserWarning)9989799898feature_selection/tests/test_feature_select.py::test_invalid_k99899feature_selection/tests/test_feature_select.py::test_invalid_k99900feature_selection/tests/test_feature_select.py::test_f_classif_constant_feature99901 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_selection/_univariate_selection.py:111: RuntimeWarning: invalid value encountered in divide99902 f = msb / msw9990399904tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV]99905tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV]99906 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99907 warnings.warn(9990899909feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]99910 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99911 self.variances_ = np.nanvar(X, axis=0)9991299913feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]99914feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_matrix]99915feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_array]99916feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_matrix]99917feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_array]99918feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_matrix]99919feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_array]99920 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/feature_selection/_variance_threshold.py:122: RuntimeWarning: All-NaN slice encountered99921 self.variances_ = np.nanmin(compare_arr, axis=0)9992299923gaussian_process/tests/test_gpc.py: 14 warnings99924 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99925 warnings.warn(9992699927tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV]99928tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV]99929 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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: 99930 Traceback (most recent call last):99931 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99932 scores = scorer(estimator, X_test, y_test, **score_params)99933 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 80, in inner_f99934 return f(*args, **kwargs)99935 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 322, in __call__99936 return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)99937 ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^99938 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 454, in _score99939 response_method = _check_response_method(estimator, self._response_method)99940 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 2286, in _check_response_method99941 raise AttributeError(99942 ...<2 lines>...99943 )99944 AttributeError: GraphicalLassoCV has none of the following attributes: predict.99945 99946 warnings.warn(9994799948tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[SequentialFeatureSelector]99949tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[SequentialFeatureSelector]99950 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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: 99951 Traceback (most recent call last):99952 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99953 scores = scorer(estimator, X_test, y_test, **score_params)99954 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 80, in inner_f99955 return f(*args, **kwargs)99956 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 322, in __call__99957 return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)99958 ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^99959 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 454, in _score99960 response_method = _check_response_method(estimator, self._response_method)99961 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 2286, in _check_response_method99962 raise AttributeError(99963 ...<2 lines>...99964 )99965 AttributeError: SequentialFeatureSelector has none of the following attributes: predict.99966 99967 warnings.warn(9996899969tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[TargetEncoder]99970tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[TargetEncoder]99971 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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: 99972 Traceback (most recent call last):99973 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/model_selection/_validation.py", line 945, in _score99974 scores = scorer(estimator, X_test, y_test, **score_params)99975 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 80, in inner_f99976 return f(*args, **kwargs)99977 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 322, in __call__99978 return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)99979 ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^99980 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/metrics/_scorer.py", line 454, in _score99981 response_method = _check_response_method(estimator, self._response_method)99982 File "/nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-python3.14-scikit-learn-1.9.0/lib/python3.14/site-packages/sklearn/utils/validation.py", line 2286, in _check_response_method99983 raise AttributeError(99984 ...<2 lines>...99985 )99986 AttributeError: TargetEncoder has none of the following attributes: predict.99987 99988 warnings.warn(9998999990tests/test_multiclass.py::test_constant_int_target[ones]99991 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99992 warnings.warn(9999399994tests/test_multiclass.py::test_constant_int_target[zeros]99995 /nix/store/vpqf8b9lr5jwcgv18yv4ydc8dav4anxm-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.99996 warnings.warn(9999799998-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html99999= 34041 passed, 12699 skipped, 224 xfailed, 118 xpassed, 5394 warnings in 306.53s (0:05:06) =100000Finished executing pytestCheckPhase100001pytestCheckPhase completed in 5 minutes 12 seconds