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    Moritz Wittig
    @mowi-mb

    Hi all,

    I was just installing vencopy in a new venv, when I got the following error message:

    ERROR: Command errored out with exit status 1:
     command: /Users/moritzwitting/python_env/vencopy/bin/python3.7 /Users/moritzwitting/python_env/vencopy/lib/python3.7/site-packages/pip/_vendor/pep517/_in_process.py prepare_metadata_for_build_wheel /var/folders/3q/qrzp42h10lv4fhdkzbf3swlw0000gr/T/tmpko44smoa
         cwd: /private/var/folders/3q/qrzp42h10lv4fhdkzbf3swlw0000gr/T/pip-install-p3ipvg5n/scipy
    Complete output (214 lines):
    Running scipy/linalg/_generate_pyx.py
    Running scipy/special/_generate_pyx.py
    Running scipy/stats/_generate_pyx.py
    Processing scipy/cluster/_vq.pyx
    Processing scipy/cluster/_optimal_leaf_ordering.pyx
    Processing scipy/cluster/_hierarchy.pyx
    Processing scipy/ndimage/src/_cytest.pyx
    Processing scipy/ndimage/src/_ni_label.pyx
    Processing scipy/linalg/cython_lapack.pyx
    Processing scipy/linalg/_matfuncs_sqrtm_triu.pyx
    Processing scipy/linalg/_solve_toeplitz.pyx
    Processing scipy/linalg/cython_blas.pyx
    Processing scipy/linalg/_decomp_update.pyx.in
    Processing scipy/optimize/_group_columns.pyx
    Processing scipy/optimize/_bglu_dense.pyx
    Processing scipy/optimize/_trlib/_trlib.pyx
    Processing scipy/optimize/_highs/cython/src/_highs_constants.pyx
    Processing scipy/optimize/_highs/cython/src/_highs_wrapper.pyx
    Processing scipy/optimize/_lsq/givens_elimination.pyx
    Processing scipy/optimize/cython_optimize/_zeros.pyx.in
    Processing scipy/io/matlab/mio_utils.pyx
    Processing scipy/io/matlab/streams.pyx
    Processing scipy/io/matlab/mio5_utils.pyx
    Processing scipy/_lib/_ccallback_c.pyx
    Processing scipy/_lib/_test_deprecation_def.pyx
    Processing scipy/_lib/_test_deprecation_call.pyx
    Processing scipy/_lib/messagestream.pyx
    Processing scipy/special/_ufuncs_cxx.pyx
    Processing scipy/special/cython_special.pyx
    Processing scipy/special/_ellip_harm_2.pyx
    Processing scipy/special/_comb.pyx
    Processing scipy/special/_test_round.pyx
    Processing scipy/special/_ufuncs.pyx
    Processing scipy/fftpack/convolve.pyx
    Processing scipy/interpolate/interpnd.pyx
    Processing scipy/interpolate/_bspl.pyx
    Processing scipy/interpolate/_ppoly.pyx
    Processing scipy/sparse/_csparsetools.pyx.in
    warning: _cython_special_custom.pxi:9:8: Unreachable code
    warning: _cython_special_custom.pxi:13:4: Unreachable code
    warning: _cython_special_custom.pxi:21:8: Unreachable code
    warning: _cython_special_custom.pxi:25:4: Unreachable code
    warning: _cython_special_custom.pxi:33:8: Unreachable code
    warning: _cython_special_custom.pxi:37:4: Unreachable code
    warning: _cython_special_custom.pxi:45:8: Unreachable code
    warning: _cython_special_custom.pxi:49:4: Unreachable code
    Processing scipy/sparse/csgraph/_shortest_path.pyx
    Processing scipy/sparse/csgraph/_traversal.pyx
    Processing scipy/sparse/csgraph/_flow.pyx
    Processing scipy/sparse/csgraph/_tools.pyx
    Processing scipy/sparse/csgraph/_matching.pyx
    Processing scipy/sparse/csgraph/_reordering.pyx
    Processing scipy/sparse/csgraph/_min_spanning_tree.pyx
    Processing scipy/spatial/ckdtree.pyx
    Processing scipy/spatial/_voronoi.pyx
    Processing scipy/spatial/_hausdorff.pyx
    Processing scipy/spatial/qhull.pyx
    Processing scipy/spatial/transform/rotation.pyx
    Processing scipy/signal/_max_len_seq_inner.pyx
    Processing scipy/signal/_peak_finding_utils.pyx
    Processing scipy/signal/_upfirdn_apply.pyx
    Processing scipy/signal/_spectral.pyx
    Processing scipy/signal/_sosfilt.pyx
    Processing scipy/stats/_stats.pyx
    Processing scipy/stats/_qmc_cy.pyx
    Processing scipy/stats/_sobol.pyx
    Processing scipy/stats/biasedurn.pyx
    Processing scipy/stats/_boost/src/beta_ufunc.pyx
    Processing scipy/stats/_boost/src/nbinom_ufunc.pyx
    Processing scipy/stats/_boost/src/binom_ufunc.pyx
    Cythonizing sources
    lapack_opt_info:
    lapack_mkl_info:
    customize UnixCCompiler
      libraries mkl_
    Moritz Wittig
    @mowi-mb
    The total error message is too long for this chat. Here is the error message as a txt file :)
    I am using Python 3.7.12
    Niklas Wulff
    @Niklaswulff_gitlab

    Hi Moritz, sorry to read you're experiencing difficulties. Whats your platform and which commands did you run? The error message tells me that this problem is rather scipy related than vencopy related. Could you try to set up a new environment with

    conda env create -n [someName] python=3.9

    then activate it and

    pip install vencopy

    ?

    Moritz Wittig
    @mowi-mb

    Hi Niklas,

    I did not use conda but python venv. I updated the python version to Python 3.9.7 in my venv. Now the installation worked without a problem :)

    Niklas Wulff
    @Niklaswulff_gitlab
    Perfect, see you tomorrow!
    Robbie Morrison
    @robbiemorrison

    Hello vencopy folk, I believe I have set up my environment correctly. Just a couple of hopefully minor error messages concerning jupyterlab. As follow:

    191769  pip install vencopy
    
      ERROR: jupyterlab-pygments 0.1.2 has requirement pygments<3,>=2.4.1, but you'll have pygments 2.3.1 which is incompatible.
      ERROR: nbconvert 6.3.0 has requirement pygments>=2.4.1, but you'll have pygments 2.3.1 which is incompatible.

    And:

    191775  jupyter-lab
    
      [W 2021-11-16 13:42:50.844 LabApp] Could not determine jupyterlab build status without nodejs
    
    191782  nodejs --version
    v10.19.0
    See you at 15:00 ..
    Niklas Wulff
    @Niklaswulff_gitlab
    Hey Robbie, thanks for the info! Looks like jupyterlab has some weird dependencies there.. does running the notebooks work for you?
    Robbie Morrison
    @robbiemorrison
    Yes, it launches in a web browser okay.
    jmuessel
    @jmuessel
    I don't have access to the data from here https://daten.clearingstelle-verkehr.de/order-form.html - the packages cost money. Is there a way to test vencopy without having access to this data?
    Fabia Miorelli
    @fabiamiorelli_gitlab
    Hi, to test out vencopy you do not need to have access to the whole dataset, a small subset of the dataset is provided in the tutorials folder in the repository