Research releases are provided as technology demonstrators to provide early
access to features or stimulate Community development of tools. Support for
this software will be minimal and is only provided directly by the developers.
Feature requests, improvements, and discussions are welcome and can be
implemented by forking and pull requests. However much as we would
like to rectify every issue and piece of feedback users may have, the
developers may have limited resource for support of this software. Research
releases may be unstable and subject to rapid iteration by Oxford Nanopore
Technologies.
Please ensure that you are using the most recent version of medaka before filing
a bug report. The most recent version can be found on the release page.
If you are not using the most recent release, and file a issue regardless the
most likely response from our developers will be to ask you to first upgrade.
Please ensure also to provide the information below, not doing so will likely
result in a request for the information.
Describe the bug
A clear and concise description of what the bug is including the command that you have run.
Logging
Please attach any relevant logging messages. (Use ``` before and after code blocks).
Environment (if you do not have a GPU, write No GPU):
medaka version (can be found by running medaka --version)
GPU model
Nvidia driver version
CUDA version
cuDNN version
Additional context
Add any other context about the problem here.
Dear,
I'm trying to install medaka (via pip install medaka) on a MacBook pro M1max (32Gb RAM) OS=sonoma 14.5.
All dependancies are installed (most via homebrew).
But during the configuration phase, the system doesn't seem to find libhts.a (although present in the homebrew/lib directory).
I guess it then tries to install is from scratch (from samtools), but not in a way that works for an M1 cpu.
Also the version from samtools I have installed in 1.20 (and htslib/1.20)
Is there a way to go around/fix the issue?
best regards
....
Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in /opt/homebrew/lib/python3.10/site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.11,>=2.10->tensorflow-macos~=2.10.0->medaka) (0.5.0rc2)
Requirement already satisfied: oauthlib>=3.0.0 in /opt/homebrew/lib/python3.10/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.11,>=2.10->tensorflow-macos~=2.10.0->medaka) (3.2.2)
Using cached cffi-1.15.0-cp310-cp310-macosx_11_0_arm64.whl (173 kB)
Using cached h5py-3.10.0-cp310-cp310-macosx_11_0_arm64.whl (2.7 MB)
Using cached tensorflow_macos-2.10.0-cp310-cp310-macosx_12_0_arm64.whl (211.5 MB)
Using cached gast-0.4.0-py3-none-any.whl (9.8 kB)
Using cached keras-2.10.0-py2.py3-none-any.whl (1.7 MB)
Using cached Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
Using cached protobuf-3.19.6-py2.py3-none-any.whl (162 kB)
Using cached tensorboard-2.10.1-py3-none-any.whl (5.9 MB)
Using cached tensorflow_estimator-2.10.0-py2.py3-none-any.whl (438 kB)
Using cached google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB)
Using cached tensorboard_data_server-0.6.1-py3-none-any.whl (2.4 kB)
Building wheels for collected packages: medaka
Building wheel for medaka (pyproject.toml) ... error
error: subprocess-exited-with-error
× Building wheel for medaka (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [117 lines of output]
/opt/homebrew/Cellar/python@3.10/3.10.14/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/cffi/cparser.py:154: UserWarning: String literal found in cdef() or type source. String literals are ignored here, but you should remove them anyway because some character sequences confuse pre-parsing.
warnings.warn("String literal found in cdef() or type source. "
Bundling models: ['r103_fast_g507', 'r103_fast_snp_g507', 'r103_fast_variant_g507', 'r103_hac_g507', 'r103_hac_snp_g507', 'r103_hac_variant_g507', 'r103_min_high_g345', 'r103_min_high_g360', 'r103_prom_high_g360', 'r103_prom_snp_g3210', 'r103_prom_variant_g3210', 'r103_sup_g507', 'r103_sup_snp_g507', 'r103_sup_variant_g507', 'r1041_e82_260bps_fast_g632', 'r1041_e82_260bps_fast_variant_g632', 'r1041_e82_260bps_hac_g632', 'r1041_e82_260bps_hac_v4.0.0', 'r1041_e82_260bps_hac_v4.1.0', 'r1041_e82_260bps_hac_variant_g632', 'r1041_e82_260bps_hac_variant_v4.1.0', 'r1041_e82_260bps_joint_apk_ulk_v5.0.0', 'r1041_e82_260bps_sup_g632', 'r1041_e82_260bps_sup_v4.0.0', 'r1041_e82_260bps_sup_v4.1.0', 'r1041_e82_260bps_sup_variant_g632', 'r1041_e82_260bps_sup_variant_v4.1.0', 'r1041_e82_400bps_fast_g615', 'r1041_e82_400bps_fast_g632', 'r1041_e82_400bps_fast_variant_g615', 'r1041_e82_400bps_fast_variant_g632', 'r1041_e82_400bps_hac_g615', 'r1041_e82_400bps_hac_g632', 'r1041_e82_400bps_hac_v4.0.0', 'r1041_e82_400bps_hac_v4.1.0', 'r1041_e82_400bps_hac_v4.2.0', 'r1041_e82_400bps_hac_v4.3.0', 'r1041_e82_400bps_hac_v5.0.0', 'r1041_e82_400bps_hac_variant_g615', 'r1041_e82_400bps_hac_variant_g632', 'r1041_e82_400bps_hac_variant_v4.1.0', 'r1041_e82_400bps_hac_variant_v4.2.0', 'r1041_e82_400bps_hac_variant_v4.3.0', 'r1041_e82_400bps_hac_variant_v5.0.0', 'r1041_e82_400bps_sup_g615', 'r1041_e82_400bps_sup_v4.0.0', 'r1041_e82_400bps_sup_v4.1.0', 'r1041_e82_400bps_sup_v4.2.0', 'r1041_e82_400bps_sup_v4.3.0', 'r1041_e82_400bps_sup_v5.0.0', 'r1041_e82_400bps_sup_variant_g615', 'r1041_e82_400bps_sup_variant_v4.1.0', 'r1041_e82_400bps_sup_variant_v4.2.0', 'r1041_e82_400bps_sup_variant_v4.3.0', 'r1041_e82_400bps_sup_variant_v5.0.0', 'r104_e81_fast_g5015', 'r104_e81_fast_variant_g5015', 'r104_e81_hac_g5015', 'r104_e81_hac_variant_g5015', 'r104_e81_sup_g5015', 'r104_e81_sup_g610', 'r104_e81_sup_variant_g610', 'r10_min_high_g303', 'r10_min_high_g340', 'r941_e81_fast_g514', 'r941_e81_fast_variant_g514', 'r941_e81_hac_g514', 'r941_e81_hac_variant_g514', 'r941_e81_sup_g514', 'r941_e81_sup_variant_g514', 'r941_min_fast_g303', 'r941_min_fast_g507', 'r941_min_fast_snp_g507', 'r941_min_fast_variant_g507', 'r941_min_hac_g507', 'r941_min_hac_snp_g507', 'r941_min_hac_variant_g507', 'r941_min_high_g303', 'r941_min_high_g330', 'r941_min_high_g340_rle', 'r941_min_high_g344', 'r941_min_high_g351', 'r941_min_high_g360', 'r941_min_sup_g507', 'r941_min_sup_snp_g507', 'r941_min_sup_variant_g507', 'r941_prom_fast_g303', 'r941_prom_fast_g507', 'r941_prom_fast_snp_g507', 'r941_prom_fast_variant_g507', 'r941_prom_hac_g507', 'r941_prom_hac_snp_g507', 'r941_prom_hac_variant_g507', 'r941_prom_high_g303', 'r941_prom_high_g330', 'r941_prom_high_g344', 'r941_prom_high_g360', 'r941_prom_high_g4011', 'r941_prom_snp_g303', 'r941_prom_snp_g322', 'r941_prom_snp_g360', 'r941_prom_sup_g507', 'r941_prom_sup_snp_g507', 'r941_prom_sup_variant_g507', 'r941_prom_variant_g303', 'r941_prom_variant_g322', 'r941_prom_variant_g360', 'r941_sup_plant_g610', 'r941_sup_plant_variant_g610']
running bdist_wheel
running build
running build_py
creating build
creating build/lib.macosx-14-arm64-cpython-310
creating build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/tandem.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/options.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/vcf.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/labels.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/align.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/models.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/init.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/features.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/prediction.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/rle.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/medaka.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/common.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/wrappers.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/stitch.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/keras_ext.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/smolecule.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/variant.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/datastore.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/training.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/executor.py -> build/lib.macosx-14-arm64-cpython-310/medaka
copying medaka/medaka_counts.py -> build/lib.macosx-14-arm64-cpython-310/medaka
creating build/lib.macosx-14-arm64-cpython-310/medaka/data
copying medaka/data/r1041_e82_400bps_hac_v5.0.0_model.tar.gz -> build/lib.macosx-14-arm64-cpython-310/medaka/data
copying medaka/data/r1041_e82_400bps_hac_variant_v5.0.0_model.tar.gz -> build/lib.macosx-14-arm64-cpython-310/medaka/data
copying medaka/data/r1041_e82_400bps_sup_v5.0.0_model.tar.gz -> build/lib.macosx-14-arm64-cpython-310/medaka/data
copying medaka/data/r1041_e82_400bps_sup_variant_v5.0.0_model.tar.gz -> build/lib.macosx-14-arm64-cpython-310/medaka/data
running build_ext
generating cffi module 'build/temp.macosx-14-arm64-cpython-310/libmedaka.c'
creating build/temp.macosx-14-arm64-cpython-310
Compiling htslib using Makefile
cd submodules; \
curl -L -o samtools-1.14.tar.bz2 https://github.com/samtools/samtools/releases/download/1.14/samtools-1.14.tar.bz2; \
tar -xjf samtools-1.14.tar.bz2; \
rm samtools-1.14.tar.bz2
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0
51 7563k 51 3871k 0 0 3926k 0 0:00:01 --:--:-- 0:00:01 3926k
100 7563k 100 7563k 0 0 6768k 0 0:00:01 0:00:01 --:--:-- 27.5M
# this is required only to add in -fpic so we can build python module
Making libhts.a
cd submodules/samtools-1.14/htslib-1.14/ \
&& CFLAGS="-fpic -O3 -std=c99 " ./configure \
&& make -j 4
checking for gcc... /opt/homebrew/bin/clang
checking whether the C compiler works... no
configure: error: in `/private/var/folders/8b/g7kmwclj051fq1xjkjtrtls00000gn/T/pip-install-5s7oaa1j/medaka_c632ed6f0c3a414d88cbc09d1d86ad22/submodules/samtools-1.14/htslib-1.14':
configure: error: C compiler cannot create executables
See `config.log' for more details
make: *** [libhts.a] Error 77
Traceback (most recent call last):
File "/opt/homebrew/lib/python3.10/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 353, in <module>
main()
File "/opt/homebrew/lib/python3.10/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 335, in main
json_out['return_val'] = hook(**hook_input['kwargs'])
File "/opt/homebrew/lib/python3.10/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 251, in build_wheel
//
......
//
raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '['make', 'libhts.a']' returned non-zero exit status 2.
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for medaka
Failed to build medaka
ERROR: Could not build wheels for medaka, which is required to install pyproject.toml-based projects
Describe the bug A clear and concise description of what the bug is including the command that you have run.
Logging Please attach any relevant logging messages. (Use ``` before and after code blocks).
Environment (if you do not have a GPU, write No GPU):
medaka --version
)Additional context Add any other context about the problem here.
Dear,
I'm trying to install medaka (via pip install medaka) on a MacBook pro M1max (32Gb RAM) OS=sonoma 14.5. All dependancies are installed (most via homebrew). But during the configuration phase, the system doesn't seem to find libhts.a (although present in the homebrew/lib directory). I guess it then tries to install is from scratch (from samtools), but not in a way that works for an M1 cpu. Also the version from samtools I have installed in 1.20 (and htslib/1.20)
Is there a way to go around/fix the issue?
best regards
.... Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in /opt/homebrew/lib/python3.10/site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.11,>=2.10->tensorflow-macos~=2.10.0->medaka) (0.5.0rc2) Requirement already satisfied: oauthlib>=3.0.0 in /opt/homebrew/lib/python3.10/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.11,>=2.10->tensorflow-macos~=2.10.0->medaka) (3.2.2) Using cached cffi-1.15.0-cp310-cp310-macosx_11_0_arm64.whl (173 kB) Using cached h5py-3.10.0-cp310-cp310-macosx_11_0_arm64.whl (2.7 MB) Using cached tensorflow_macos-2.10.0-cp310-cp310-macosx_12_0_arm64.whl (211.5 MB) Using cached gast-0.4.0-py3-none-any.whl (9.8 kB) Using cached keras-2.10.0-py2.py3-none-any.whl (1.7 MB) Using cached Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB) Using cached protobuf-3.19.6-py2.py3-none-any.whl (162 kB) Using cached tensorboard-2.10.1-py3-none-any.whl (5.9 MB) Using cached tensorflow_estimator-2.10.0-py2.py3-none-any.whl (438 kB) Using cached google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB) Using cached tensorboard_data_server-0.6.1-py3-none-any.whl (2.4 kB) Building wheels for collected packages: medaka Building wheel for medaka (pyproject.toml) ... error error: subprocess-exited-with-error
× Building wheel for medaka (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [117 lines of output] /opt/homebrew/Cellar/python@3.10/3.10.14/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/cffi/cparser.py:154: UserWarning: String literal found in cdef() or type source. String literals are ignored here, but you should remove them anyway because some character sequences confuse pre-parsing. warnings.warn("String literal found in cdef() or type source. " Bundling models: ['r103_fast_g507', 'r103_fast_snp_g507', 'r103_fast_variant_g507', 'r103_hac_g507', 'r103_hac_snp_g507', 'r103_hac_variant_g507', 'r103_min_high_g345', 'r103_min_high_g360', 'r103_prom_high_g360', 'r103_prom_snp_g3210', 'r103_prom_variant_g3210', 'r103_sup_g507', 'r103_sup_snp_g507', 'r103_sup_variant_g507', 'r1041_e82_260bps_fast_g632', 'r1041_e82_260bps_fast_variant_g632', 'r1041_e82_260bps_hac_g632', 'r1041_e82_260bps_hac_v4.0.0', 'r1041_e82_260bps_hac_v4.1.0', 'r1041_e82_260bps_hac_variant_g632', 'r1041_e82_260bps_hac_variant_v4.1.0', 'r1041_e82_260bps_joint_apk_ulk_v5.0.0', 'r1041_e82_260bps_sup_g632', 'r1041_e82_260bps_sup_v4.0.0', 'r1041_e82_260bps_sup_v4.1.0', 'r1041_e82_260bps_sup_variant_g632', 'r1041_e82_260bps_sup_variant_v4.1.0', 'r1041_e82_400bps_fast_g615', 'r1041_e82_400bps_fast_g632', 'r1041_e82_400bps_fast_variant_g615', 'r1041_e82_400bps_fast_variant_g632', 'r1041_e82_400bps_hac_g615', 'r1041_e82_400bps_hac_g632', 'r1041_e82_400bps_hac_v4.0.0', 'r1041_e82_400bps_hac_v4.1.0', 'r1041_e82_400bps_hac_v4.2.0', 'r1041_e82_400bps_hac_v4.3.0', 'r1041_e82_400bps_hac_v5.0.0', 'r1041_e82_400bps_hac_variant_g615', 'r1041_e82_400bps_hac_variant_g632', 'r1041_e82_400bps_hac_variant_v4.1.0', 'r1041_e82_400bps_hac_variant_v4.2.0', 'r1041_e82_400bps_hac_variant_v4.3.0', 'r1041_e82_400bps_hac_variant_v5.0.0', 'r1041_e82_400bps_sup_g615', 'r1041_e82_400bps_sup_v4.0.0', 'r1041_e82_400bps_sup_v4.1.0', 'r1041_e82_400bps_sup_v4.2.0', 'r1041_e82_400bps_sup_v4.3.0', 'r1041_e82_400bps_sup_v5.0.0', 'r1041_e82_400bps_sup_variant_g615', 'r1041_e82_400bps_sup_variant_v4.1.0', 'r1041_e82_400bps_sup_variant_v4.2.0', 'r1041_e82_400bps_sup_variant_v4.3.0', 'r1041_e82_400bps_sup_variant_v5.0.0', 'r104_e81_fast_g5015', 'r104_e81_fast_variant_g5015', 'r104_e81_hac_g5015', 'r104_e81_hac_variant_g5015', 'r104_e81_sup_g5015', 'r104_e81_sup_g610', 'r104_e81_sup_variant_g610', 'r10_min_high_g303', 'r10_min_high_g340', 'r941_e81_fast_g514', 'r941_e81_fast_variant_g514', 'r941_e81_hac_g514', 'r941_e81_hac_variant_g514', 'r941_e81_sup_g514', 'r941_e81_sup_variant_g514', 'r941_min_fast_g303', 'r941_min_fast_g507', 'r941_min_fast_snp_g507', 'r941_min_fast_variant_g507', 'r941_min_hac_g507', 'r941_min_hac_snp_g507', 'r941_min_hac_variant_g507', 'r941_min_high_g303', 'r941_min_high_g330', 'r941_min_high_g340_rle', 'r941_min_high_g344', 'r941_min_high_g351', 'r941_min_high_g360', 'r941_min_sup_g507', 'r941_min_sup_snp_g507', 'r941_min_sup_variant_g507', 'r941_prom_fast_g303', 'r941_prom_fast_g507', 'r941_prom_fast_snp_g507', 'r941_prom_fast_variant_g507', 'r941_prom_hac_g507', 'r941_prom_hac_snp_g507', 'r941_prom_hac_variant_g507', 'r941_prom_high_g303', 'r941_prom_high_g330', 'r941_prom_high_g344', 'r941_prom_high_g360', 'r941_prom_high_g4011', 'r941_prom_snp_g303', 'r941_prom_snp_g322', 'r941_prom_snp_g360', 'r941_prom_sup_g507', 'r941_prom_sup_snp_g507', 'r941_prom_sup_variant_g507', 'r941_prom_variant_g303', 'r941_prom_variant_g322', 'r941_prom_variant_g360', 'r941_sup_plant_g610', 'r941_sup_plant_variant_g610'] running bdist_wheel running build running build_py creating build creating build/lib.macosx-14-arm64-cpython-310 creating build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/tandem.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/options.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/vcf.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/labels.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/align.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/models.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/init.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/features.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/prediction.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/rle.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/medaka.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/common.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/wrappers.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/stitch.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/keras_ext.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/smolecule.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/variant.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/datastore.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/training.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/executor.py -> build/lib.macosx-14-arm64-cpython-310/medaka copying medaka/medaka_counts.py -> build/lib.macosx-14-arm64-cpython-310/medaka creating build/lib.macosx-14-arm64-cpython-310/medaka/data copying medaka/data/r1041_e82_400bps_hac_v5.0.0_model.tar.gz -> build/lib.macosx-14-arm64-cpython-310/medaka/data copying medaka/data/r1041_e82_400bps_hac_variant_v5.0.0_model.tar.gz -> build/lib.macosx-14-arm64-cpython-310/medaka/data copying medaka/data/r1041_e82_400bps_sup_v5.0.0_model.tar.gz -> build/lib.macosx-14-arm64-cpython-310/medaka/data copying medaka/data/r1041_e82_400bps_sup_variant_v5.0.0_model.tar.gz -> build/lib.macosx-14-arm64-cpython-310/medaka/data running build_ext generating cffi module 'build/temp.macosx-14-arm64-cpython-310/libmedaka.c' creating build/temp.macosx-14-arm64-cpython-310 Compiling htslib using Makefile cd submodules; \ curl -L -o samtools-1.14.tar.bz2 https://github.com/samtools/samtools/releases/download/1.14/samtools-1.14.tar.bz2; \ tar -xjf samtools-1.14.tar.bz2; \ rm samtools-1.14.tar.bz2 % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed
// ...... // raise CalledProcessError(retcode, cmd) subprocess.CalledProcessError: Command '['make', 'libhts.a']' returned non-zero exit status 2. [end of output]
note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for medaka Failed to build medaka ERROR: Could not build wheels for medaka, which is required to install pyproject.toml-based projects