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Describe the bug When trying to install k-means-constrained 0.7.1 on a Linux machine under Spark, I get the following error:
Failed to build k-means-constrained
22/09/05 10:06:58 INFO SharedDriverContext: Failed to attach library dbfs:/FileStore/jars/df01ffad_9c82_47d0_af9f_d58e5a9167f7/web_extension-4.0-py3-none-any.whl to Spark org.apache.spark.SparkException: Process List(/databricks/python/bin/pip, install, --upgrade, --find-links=/local_disk0/spark-418a7f7d-d386-417e-badc-e56ea3a21c6e/userFiles-6ca93792-2269-488d-b718-a0c3fb538085, /local_disk0/spark-418a7f7d-d386-417e-badc-e56ea3a21c6e/userFiles-6ca93792-2269-488d-b718-a0c3fb538085/activity_discovery_web_extension-4.0-py3-none-any.whl, --disable-pip-version-check) exited with code 1. ERROR: Command errored out with exit status 1: command: /databricks/python3/bin/python /databricks/python3/lib/python3.8/site-packages/pip/_vendor/pep517/_in_process.py build_wheel /tmp/tmp4ehqh6yz cwd: /tmp/pip-install-_5fx8ys_/k-means-constrained_4ee597c098d6445ea4b8d6ca9744eeb4 Complete output (38 lines): running bdist_wheel running build running build_py creating build creating build/lib.linux-x86_64-3.8 creating build/lib.linux-x86_64-3.8/k_means_constrained copying k_means_constrained/mincostflow_vectorized.py -> build/lib.linux-x86_64-3.8/k_means_constrained copying k_means_constrained/__init__.py -> build/lib.linux-x86_64-3.8/k_means_constrained copying k_means_constrained/k_means_constrained_.py -> build/lib.linux-x86_64-3.8/k_means_constrained creating build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import copying k_means_constrained/sklearn_import/__init__.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import copying k_means_constrained/sklearn_import/fixes.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import copying k_means_constrained/sklearn_import/base.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import copying k_means_constrained/sklearn_import/funcsigs.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import copying k_means_constrained/sklearn_import/exceptions.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import creating build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/metrics copying k_means_constrained/sklearn_import/metrics/__init__.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/metrics copying k_means_constrained/sklearn_import/metrics/pairwise.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/metrics creating build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/utils copying k_means_constrained/sklearn_import/utils/__init__.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/utils copying k_means_constrained/sklearn_import/utils/sparsefuncs.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/utils copying k_means_constrained/sklearn_import/utils/fixes.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/utils copying k_means_constrained/sklearn_import/utils/extmath.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/utils copying k_means_constrained/sklearn_import/utils/validation.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/utils creating build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/preprocessing copying k_means_constrained/sklearn_import/preprocessing/__init__.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/preprocessing copying k_means_constrained/sklearn_import/preprocessing/data.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/preprocessing creating build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/externals copying k_means_constrained/sklearn_import/externals/__init__.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/externals copying k_means_constrained/sklearn_import/externals/funcsigs.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/externals creating build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/cluster copying k_means_constrained/sklearn_import/cluster/__init__.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/cluster copying k_means_constrained/sklearn_import/cluster/k_means_.py -> build/lib.linux-x86_64-3.8/k_means_constrained/sklearn_import/cluster running build_ext creating build/temp.linux-x86_64-3.8 creating build/temp.linux-x86_64-3.8/k_means_constrained x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/tmp/pip-build-env-j0gh3wdg/overlay/lib/python3.8/site-packages/numpy/core/include -I/databricks/python3/include -I/usr/include/python3.8 -c k_means_constrained/mincostflow_vectorized_.c -o build/temp.linux-x86_64-3.8/k_means_constrained/mincostflow_vectorized_.o error: command 'x86_64-linux-gnu-gcc' failed: No such file or directory ---------------------------------------- ERROR: Failed building wheel for k-means-constrained ERROR: Could not build wheels for k-means-constrained which use PEP 517 and cannot be installed directly
Minimum working example pip install k_means_constrained
pip install k_means_constrained
Versions:
The text was updated successfully, but these errors were encountered:
Encountered same issue today. No solution found so far.
Sorry, something went wrong.
I've solved it eventually by installing build essentials (on Ubuntu):
build essentials
sudo apt -y install build-essential
However on Mac-OS I did not have to do that at all ...
Either way, if having gnu gcc is a per-requisite it would be good to have it noted in the installation instructions.
gnu gcc
PS: For a Spark job via DataBricks the issue is solvable by providing the init script that installs the build essentials
Im closing this for now. let me know if you require more assistance
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Describe the bug
When trying to install k-means-constrained 0.7.1 on a Linux machine under Spark, I get the following error:
Minimum working example
pip install k_means_constrained
Versions:
The text was updated successfully, but these errors were encountered: