Error:metadata-generation-fail while installing requirements.txt

[nyw0102]

To install required libraries in karonte/tools, I build them using "pip3 install -r requirements.txt". But there is 'metadata-generation.txt' error while installing scikit-learn. Below is the log after installing: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/pip/_vendor/pep517/in_process/_in_process.py", line 363, in main() File "/usr/lib/python3/dist-packages/pip/_vendor/pep517/in_process/_in_process.py", line 345, in main json_out['return_val'] = hook(hook_input['kwargs']) File "/usr/lib/python3/dist-packages/pip/_vendor/pep517/in_process/_in_process.py", line 164, in prepare_metadata_for_build_wheel return hook(metadata_directory, config_settings) File "/usr/lib/python3/dist-packages/setuptools/build_meta.py", line 174, in prepare_metadata_for_build_wheel self.run_setup() File "/usr/lib/python3/dist-packages/setuptools/build_meta.py", line 267, in run_setup super(_BuildMetaLegacyBackend, File "/usr/lib/python3/dist-packages/setuptools/build_meta.py", line 158, in run_setup [ 1/53] Cythonizing sklearn/__check_build/_check_build.pyx [ 2/53] Cythonizing sklearn/_isotonic.pyx [ 3/53] Cythonizing sklearn/cluster/_dbscan_inner.pyx [ 4/53] Cythonizing sklearn/cluster/_hierarchical_fast.pyx [ 5/53] Cythonizing sklearn/cluster/_k_means_elkan.pyx [ 6/53] Cythonizing sklearn/cluster/_k_means_fast.pyx [ 7/53] Cythonizing sklearn/cluster/_k_means_lloyd.pyx [ 8/53] Cythonizing sklearn/datasets/_svmlight_format_fast.pyx [ 9/53] Cythonizing sklearn/decomposition/_cdnmf_fast.pyx [10/53] Cythonizing sklearn/decomposition/_online_lda_fast.pyx [11/53] Cythonizing sklearn/ensemble/_gradient_boosting.pyx [12/53] Cythonizing sklearn/ensemble/_hist_gradient_boosting/_binning.pyx [13/53] Cythonizing sklearn/ensemble/_hist_gradient_boosting/_bitset.pyx [14/53] Cythonizing sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.pyx [15/53] Cythonizing sklearn/ensemble/_hist_gradient_boosting/_loss.pyx [16/53] Cythonizing sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx [17/53] Cythonizing sklearn/ensemble/_hist_gradient_boosting/common.pyx [18/53] Cythonizing sklearn/ensemble/_hist_gradient_boosting/histogram.pyx [19/53] Cythonizing sklearn/ensemble/_hist_gradient_boosting/splitting.pyx [20/53] Cythonizing sklearn/ensemble/_hist_gradient_boosting/utils.pyx [21/53] Cythonizing sklearn/feature_extraction/_hashing_fast.pyx [22/53] Cythonizing sklearn/linear_model/_cd_fast.pyx [23/53] Cythonizing sklearn/linear_model/_sag_fast.pyx [24/53] Cythonizing sklearn/linear_model/_sgd_fast.pyx [25/53] Cythonizing sklearn/manifold/_barnes_hut_tsne.pyx [26/53] Cythonizing sklearn/manifold/_utils.pyx [27/53] Cythonizing sklearn/metrics/_pairwise_fast.pyx [28/53] Cythonizing sklearn/metrics/cluster/_expected_mutual_info_fast.pyx [29/53] Cythonizing sklearn/neighbors/_ball_tree.pyx [30/53] Cythonizing sklearn/neighbors/_dist_metrics.pyx [31/53] Cythonizing sklearn/neighbors/_kd_tree.pyx [32/53] Cythonizing sklearn/neighbors/_quad_tree.pyx [33/53] Cythonizing sklearn/neighbors/_typedefs.pyx [34/53] Cythonizing sklearn/preprocessing/_csr_polynomial_expansion.pyx [35/53] Cythonizing sklearn/svm/_liblinear.pyx [36/53] Cythonizing sklearn/svm/_libsvm.pyx [37/53] Cythonizing sklearn/svm/_libsvm_sparse.pyx [38/53] Cythonizing sklearn/svm/_newrand.pyx [39/53] Cythonizing sklearn/tree/_criterion.pyx [40/53] Cythonizing sklearn/tree/_splitter.pyx [41/53] Cythonizing sklearn/tree/_tree.pyx [42/53] Cythonizing sklearn/tree/_utils.pyx [43/53] Cythonizing sklearn/utils/_cython_blas.pyx [44/53] Cythonizing sklearn/utils/_fast_dict.pyx [45/53] Cythonizing sklearn/utils/_logistic_sigmoid.pyx [46/53] Cythonizing sklearn/utils/_openmp_helpers.pyx [47/53] Cythonizing sklearn/utils/_random.pyx [48/53] Cythonizing sklearn/utils/_seq_dataset.pyx [49/53] Cythonizing sklearn/utils/_weight_vector.pyx [50/53] Cythonizing sklearn/utils/arrayfuncs.pyx [51/53] Cythonizing sklearn/utils/graph_shortest_path.pyx [52/53] Cythonizing sklearn/utils/murmurhash.pyx [53/53] Cythonizing sklearn/utils/sparsefuncs_fast.pyx exec(compile(code, file, 'exec'), locals()) File "setup.py", line 301, in setup_package() File "setup.py", line 297, in setup_package setup(metadata) File "/tmp/pip-build-env-16c_d1ts/overlay/local/lib/python3.10/dist-packages/numpy/distutils/core.py", line 135, in setup config = configuration() File "setup.py", line 188, in configuration config.add_subpackage('sklearn') File "/tmp/pip-build-env-16c_d1ts/overlay/local/lib/python3.10/dist-packages/numpy/distutils/misc_util.py", line 1050, in add_subpackage config_list = self.get_subpackage(subpackage_name, subpackage_path, File "/tmp/pip-build-env-16c_d1ts/overlay/local/lib/python3.10/dist-packages/numpy/distutils/misc_util.py", line 1016, in get_subpackage config = self._get_configuration_from_setup_py( File "/tmp/pip-build-env-16c_d1ts/overlay/local/lib/python3.10/dist-packages/numpy/distutils/misc_util.py", line 958, in _get_configuration_from_setup_py config = setup_module.configuration(*args) File "/tmp/pip-install-z1hhjb96/scikit-learn/sklearn/setup.py", line 83, in configuration cythonize_extensions(top_path, config) File "/tmp/pip-install-z1hhjb96/scikit-learn/sklearn/_build_utils/init.py", line 70, in cythonize_extensions config.ext_modules = cythonize( File "/tmp/pip-build-env-16c_d1ts/overlay/local/lib/python3.10/dist-packages/Cython/Build/Dependencies.py", line 1125, in cythonize result.get(99999) # seconds File "/usr/lib/python3.10/multiprocessing/pool.py", line 774, in get raise self._value Cython.Compiler.Errors.CompileError: sklearn/ensemble/_hist_gradient_boosting/splitting.pyx [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed

× Encountered error while generating package metadata. ╰─> scikit-learn

note: This is an issue with the package mentioned above, not pip. hint: See above for details.