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Issues running the Binder #36

Open
GuillermoFidalgo opened this issue Jun 8, 2023 · 9 comments
Open

Issues running the Binder #36

GuillermoFidalgo opened this issue Jun 8, 2023 · 9 comments
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@GuillermoFidalgo
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Contributor

Seems like there is something wrong with the Binder environment. I'm not sure what exactly it could be, but Binder takes too long to setup and eventually errors out with a "CondaEnvException: Pip failed" message.

@welcome
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welcome bot commented Jun 8, 2023

Thanks for opening your first issue here 💖! If you have any questions, feel free to mention one of the conveners, previous contributors, or attend our weekly meeting (see https://hepsoftwarefoundation.org/workinggroups/training.html). Also, sometimes issues go unnoticed, so don't hesitate to @mention some of us, if we do not come back to you within a few days.

@GuillermoFidalgo
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Contributor Author

The installing pip dependancies step is what takes exceptionally long.

@jpivarski
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Collaborator

MyBinder.org had to reduce its computing capacity (which would lead to longer compute times, since it works by heavily oversubscribing, not dedicated resources) because it lost a major funder (Google). We can't say the cause of a single instance is due to a larger trend (similar to pinning a particular hot day on climate change), but that may be the cause.

Various tutorial/training projects have been relying on MyBinder.org because it exactly fits our needs: it doesn't need to be long-lasting, can be preloaded with all dependencies, etc. However, we might need to rethink that if MyBinder.org doesn't get back to previous funding levels.

I've been investigating the use of GitHub Codespaces instead of Binder, and I'll be trying it out on my next tutorial. There are screenshots there (without instructions) walking through the process of getting a Jupyter notebook with all dependencies installed, creating an environment like Binder, but with dedicated hardware (usually 2 cores).

GitHub Codespaces is a paid resource, with a large number of free hours per month. At least at first, it's unlikely that participants would be near their limit and we can do a whole tutorial without spending any money. But if all tutorials do this, then some students might go over threshold.

It's also a GitHub thing and not (for example) a GitLab thing. It requires students to have a GitHub account. It's pretty likely that each student would have a GitHub account, but it's an additional restriction that was not the case for MyBinder.org—anyone with a web browser could launch it.

I'm at least doing this experiment with my next tutorial, which is not HSF related. (It's at the SciPy conference.) But if it's successful, maybe you'll want to do something similar?

@jpivarski
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I should have read this more carefully,

The installing pip dependancies step is what takes exceptionally long.

Binder shouldn't be installing dependencies for each user. When I set up this repo, I had Binder pinned to a fixed release and then loaded that fixed release once. Binder then made an image with all dependencies included in it, and that cached image should be what users get. It might be slow due to the MyBinder.org reduced capacity, but it shouldn't be installing dependencies.

Maybe the Binder URL was pinned to a new release of this repo and then wasn't launched (manually, by whoever updated the URL) to preload the new image into Binder's cache? Or maybe Binder flushed that cache? Either way, the pip-installation should happen exactly once per cached image, which should in principle be once per release of this repo.

That, by the way, is one of the downsides of GitHub Codespaces. As far as I can tell, you can't fill an image with a pip/conda environment: it's a first step for users. With the 2 dedicated CPU cores, that takes 4 minutes in GitHub, and I removed heavy dependencies like ROOT.

@GuillermoFidalgo
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I see, thanks for the explanation @jpivarski. Would you like for me to post here the Binder log?

@jpivarski
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I wouldn't be against it, but there's nothing that I would use it for. We're not debugging Binder—if there was a real bug in Binder, that would go to the Binder team. But also, it's either that you were the first to try the Binder URL for a new release1 or Binder dropped it from their cache because it hadn't been touched in a while. (Maybe they have limited disk.)

This repo doesn't have any releases! Every time a minor change is made (text in the README or anything), Binder will require a new image.

If you're going to continue to rely on Binder, I'd recommend associating the Binder URLs with fixed releases, so that you can make minor changes without invalidating Binder's cache. But if you're moving away from Binder because of its funding problems, then the point is moot.

Footnotes

  1. It's good practice for a developer of a Binderized repo to associate the Binder URL with a fixed release of the repo and then manually launch it so that a user is not the first to encounter the Binder image-building step. It's also good practice to launch it again less than an hour before a class/tutorial that would use that repo. However, neither of these help users who try to use a Binder URL that hasn't been touched in a long time and maybe Binder decided to drop the image from its cache.

@klieret
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klieret commented Jul 11, 2023

Good hint with the Binder releases! Especially because we don't have any "real" notebooks, it's very very rare that we actually change something of importance for the binder

@klieret
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klieret commented Jul 11, 2023

But I just reproduce what @GuillermoFidalgo reported, it doesn't even start:

Waiting for build to start...
Picked Git content provider.
Cloning into '/tmp/repo2docker3xq1gnv4'...
HEAD is now at a388a74 Add video tutorial
Building conda environment for python=3.9
Using CondaBuildPack builder
Step 1/49 : FROM docker.io/library/buildpack-deps:bionic
 ---> 0f137f206fa8
Step 2/49 : ENV DEBIAN_FRONTEND=noninteractive
 ---> Using cache
 ---> ff790cde8e4c
Step 3/49 : RUN apt-get -qq update &&     apt-get -qq install --yes --no-install-recommends locales > /dev/null &&     apt-get -qq purge &&     apt-get -qq clean &&     rm -rf /var/lib/apt/lists/*
 ---> Using cache
 ---> 182c4d4189ac
Step 4/49 : RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen &&     locale-gen
 ---> Using cache
 ---> 9e6eef089ce1
Step 5/49 : ENV LC_ALL=en_US.UTF-8     LANG=en_US.UTF-8     LANGUAGE=en_US.UTF-8
 ---> Using cache
 ---> 8f5f1f4b123f
Step 6/49 : ENV SHELL=/bin/bash
 ---> Using cache
 ---> 38e623a13c05
Step 7/49 : ARG NB_USER
 ---> Using cache
 ---> 32337569c166
Step 8/49 : ARG NB_UID
 ---> Using cache
 ---> 41886e32766e
Step 9/49 : ENV USER=${NB_USER}     HOME=/home/${NB_USER}
 ---> Using cache
 ---> 59af98114ac9
Step 10/49 : RUN groupadd         --gid ${NB_UID}         ${NB_USER} &&     useradd         --comment "Default user"         --create-home         --gid ${NB_UID}         --no-log-init         --shell /bin/bash         --uid ${NB_UID}         ${NB_USER}
 ---> Using cache
 ---> cf25a418f2ee
Step 11/49 : RUN apt-get -qq update &&     apt-get -qq install --yes --no-install-recommends        gettext-base        less        unzip        > /dev/null &&     apt-get -qq purge &&     apt-get -qq clean &&     rm -rf /var/lib/apt/lists/*
 ---> Using cache
 ---> 2db044b7c8f8
Step 12/49 : EXPOSE 8888
 ---> Using cache
 ---> fc7cea2d03ba
Step 13/49 : ENV APP_BASE=/srv
 ---> Using cache
 ---> 3301081e3be7
Step 14/49 : ENV CONDA_DIR=${APP_BASE}/conda
 ---> Using cache
 ---> 1ec5f8e6c6a4
Step 15/49 : ENV NB_PYTHON_PREFIX=${CONDA_DIR}/envs/notebook
 ---> Using cache
 ---> 23a766d8ca9d
Step 16/49 : ENV NPM_DIR=${APP_BASE}/npm
 ---> Using cache
 ---> 9ea8976087d6
Step 17/49 : ENV NPM_CONFIG_GLOBALCONFIG=${NPM_DIR}/npmrc
 ---> Using cache
 ---> 389bc6653b4c
Step 18/49 : ENV NB_ENVIRONMENT_FILE=/tmp/env/environment.lock
 ---> Using cache
 ---> d9ef2e3641eb
Step 19/49 : ENV MAMBA_ROOT_PREFIX=${CONDA_DIR}
 ---> Using cache
 ---> a7367b147b42
Step 20/49 : ENV MAMBA_EXE=${CONDA_DIR}/bin/mamba
 ---> Using cache
 ---> c730b5df15f1
Step 21/49 : ENV CONDA_PLATFORM=linux-64
 ---> Using cache
 ---> 5b99a9f1f618
Step 22/49 : ENV KERNEL_PYTHON_PREFIX=${NB_PYTHON_PREFIX}
 ---> Using cache
 ---> d32528ea6734
Step 23/49 : ENV PATH=${NB_PYTHON_PREFIX}/bin:${CONDA_DIR}/bin:${NPM_DIR}/bin:${PATH}
 ---> Using cache
 ---> a8678ae1847e
Step 24/49 : COPY --chown=1000:1000 build_script_files/-2fusr-2flib-2fpython3-2e10-2fsite-2dpackages-2frepo2docker-2fbuildpacks-2fconda-2factivate-2dconda-2esh-44e764 /etc/profile.d/activate-conda.sh
 ---> Using cache
 ---> 4cfb1d1f7152
Step 25/49 : COPY --chown=1000:1000 build_script_files/-2fusr-2flib-2fpython3-2e10-2fsite-2dpackages-2frepo2docker-2fbuildpacks-2fconda-2fenvironment-2epy-2d3-2e9-2dlinux-2d64-2elock-3652dd /tmp/env/environment.lock
 ---> Using cache
 ---> 501da948339f
Step 26/49 : COPY --chown=1000:1000 build_script_files/-2fusr-2flib-2fpython3-2e10-2fsite-2dpackages-2frepo2docker-2fbuildpacks-2fconda-2finstall-2dbase-2denv-2ebash-e5509f /tmp/install-base-env.bash
 ---> Using cache
 ---> 5d6b81b76c61
Step 27/49 : RUN TIMEFORMAT='time: %3R' bash -c 'time /tmp/install-base-env.bash' && rm -rf /tmp/install-base-env.bash /tmp/env
 ---> Using cache
 ---> 7f84c595b469
Step 28/49 : RUN mkdir -p ${NPM_DIR} && chown -R ${NB_USER}:${NB_USER} ${NPM_DIR}
 ---> Using cache
 ---> 3574091ade70
Step 29/49 : USER root
 ---> Using cache
 ---> f7b6e65e9876
Step 30/49 : ARG REPO_DIR=${HOME}
 ---> Using cache
 ---> 1154c47c2aa6
Step 31/49 : ENV REPO_DIR=${REPO_DIR}
 ---> Using cache
 ---> 59c1330d0606
Step 32/49 : RUN if [ ! -d "${REPO_DIR}" ]; then         /usr/bin/install -o ${NB_USER} -g ${NB_USER} -d "${REPO_DIR}";     fi
 ---> Using cache
 ---> c32ea31e4521
Step 33/49 : WORKDIR ${REPO_DIR}
 ---> Using cache
 ---> 9b44c5f62493
Step 34/49 : RUN chown ${NB_USER}:${NB_USER} ${REPO_DIR}
 ---> Using cache
 ---> 55dd83344de3
Step 35/49 : ENV PATH=${HOME}/.local/bin:${REPO_DIR}/.local/bin:${PATH}
 ---> Using cache
 ---> 23b9391fb458
Step 36/49 : ENV CONDA_DEFAULT_ENV=${KERNEL_PYTHON_PREFIX}
 ---> Using cache
 ---> 7ecbf9f22d74
Step 37/49 : USER root
 ---> Using cache
 ---> b705b4f46e6a
Step 38/49 : COPY --chown=1000:1000 src/ ${REPO_DIR}/
 ---> 299bae7fb5f6
Step 39/49 : USER ${NB_USER}
 ---> Running in d725bc03a58e
Removing intermediate container d725bc03a58e
 ---> 2beace00d772
Step 40/49 : RUN TIMEFORMAT='time: %3R' bash -c 'time ${MAMBA_EXE} env update -p ${NB_PYTHON_PREFIX} --file "environment.yml" && time ${MAMBA_EXE} clean --all -f -y && ${MAMBA_EXE} list -p ${NB_PYTHON_PREFIX} '
 ---> Running in 59051f8ce84e


Looking for: ['hist==2.6.1', 'lz4==3.1.10', 'matplotlib==3.5.1', 'mplhep==0.3.23', 'numba==0.55.1', 'numpy==1.21.5', 'pandas==1.4.1', 'python=3.9', 'python-xxhash==3.0.0', 'xrootd==5.4.1', 'zstandard==0.17.0', 'pip==22.0.4']


Transaction

  Prefix: /srv/conda/envs/notebook

  Updating specs:

   - hist==2.6.1
   - lz4==3.1.10
   - matplotlib==3.5.1
   - mplhep==0.3.23
   - numba==0.55.1
   - numpy==1.21.5
   - pandas==1.4.1
   - python-xxhash==3.0.0
   - xrootd==5.4.1
   - zstandard==0.17.0
   - python=3.9
   - pip==22.0.4


  Package                           Version  Build                Channel                   Size
──────────────────────────────────────────────────────────────────────────────────────────────────
  Install:
──────────────────────────────────────────────────────────────────────────────────────────────────

  + alsa-lib                          1.2.8  h166bdaf_0           conda-forge/linux-64     592kB
  + attr                              2.5.1  h166bdaf_1           conda-forge/linux-64      71kB
  + boost-histogram                   1.3.2  py39hf939315_2       conda-forge/linux-64       1MB
  + c-ares                           1.19.1  hd590300_0           conda-forge/linux-64     113kB
  + click                             8.1.4  unix_pyh707e725_0    conda-forge/noarch        85kB
  + cycler                           0.11.0  pyhd8ed1ab_0         conda-forge/noarch        10kB
  + dbus                             1.13.6  h5008d03_3           conda-forge/linux-64     619kB
  + expat                             2.5.0  hcb278e6_1           conda-forge/linux-64     137kB
  + fftw                             3.3.10  nompi_hc118613_108   conda-forge/linux-64       2MB
  + font-ttf-dejavu-sans-mono          2.37  hab24e00_0           conda-forge/noarch       397kB
  + font-ttf-inconsolata              3.000  h77eed37_0           conda-forge/noarch        97kB
  + font-ttf-source-code-pro          2.038  h77eed37_0           conda-forge/noarch       701kB
  + font-ttf-ubuntu                    0.83  hab24e00_0           conda-forge/noarch         2MB
  + fontconfig                       2.14.2  h14ed4e7_0           conda-forge/linux-64     272kB
  + fonts-conda-ecosystem                 1  0                    conda-forge/noarch         4kB
  + fonts-conda-forge                     1  0                    conda-forge/noarch         4kB
  + fonttools                        4.40.0  py39hd1e30aa_0       conda-forge/linux-64       2MB
  + freetype                         2.12.1  hca18f0e_1           conda-forge/linux-64     626kB
  + gettext                          0.21.1  h27087fc_0           conda-forge/linux-64       4MB
  + glib                             2.76.4  hfc55251_0           conda-forge/linux-64     482kB
  + glib-tools                       2.76.4  hfc55251_0           conda-forge/linux-64     111kB
  + gst-plugins-base                 1.21.3  h4243ec0_1           conda-forge/linux-64       3MB
  + gstreamer                        1.21.3  h25f0c4b_1           conda-forge/linux-64       2MB
  + gstreamer-orc                    0.4.34  hd590300_0           conda-forge/linux-64     259kB
  + hist                              2.6.1  pyhd8ed1ab_0         conda-forge/noarch        33kB
  + histoprint                        2.4.0  pyhd8ed1ab_0         conda-forge/noarch        19kB
  + iminuit                          2.22.0  py39h3d6467e_0       conda-forge/linux-64     405kB
  + jack                             1.9.22  h11f4161_0           conda-forge/linux-64     464kB
  + jpeg                                 9e  h0b41bf4_3           conda-forge/linux-64     240kB
  + keyutils                          1.6.1  h166bdaf_0           conda-forge/linux-64     118kB
  + kiwisolver                        1.4.4  py39hf939315_1       conda-forge/linux-64      78kB
  + krb5                             1.19.3  h3790be6_0           conda-forge/linux-64       2MB
  + lame                              3.100  h166bdaf_1003        conda-forge/linux-64     508kB
  + lcms2                              2.15  hfd0df8a_0           conda-forge/linux-64     241kB
  + lerc                              4.0.0  h27087fc_0           conda-forge/linux-64     282kB
  + libblas                           3.9.0  17_linux64_openblas  conda-forge/linux-64      14kB
  + libcap                             2.66  ha37c62d_0           conda-forge/linux-64     100kB
  + libcblas                          3.9.0  17_linux64_openblas  conda-forge/linux-64      14kB
  + libclang                         15.0.7  default_h7634d5b_2   conda-forge/linux-64     133kB
  + libclang13                       15.0.7  default_h9986a30_2   conda-forge/linux-64      10MB
  + libcups                           2.3.3  h3e49a29_2           conda-forge/linux-64       5MB
  + libcurl                          7.86.0  h7bff187_1           conda-forge/linux-64     357kB
  + libdb                            6.2.32  h9c3ff4c_0           conda-forge/linux-64      24MB
  + libdeflate                         1.17  h0b41bf4_0           conda-forge/linux-64      65kB
  + libedit                    3.1.20191231  he28a2e2_2           conda-forge/linux-64     124kB
  + libev                              4.33  h516909a_1           conda-forge/linux-64     106kB
  + libevent                         2.1.10  h9b69904_4           conda-forge/linux-64       1MB
  + libexpat                          2.5.0  hcb278e6_1           conda-forge/linux-64      78kB
  + libflac                           1.4.3  h59595ed_0           conda-forge/linux-64     394kB
  + libgcrypt                        1.10.1  h166bdaf_0           conda-forge/linux-64     720kB
  + libgfortran-ng                   13.1.0  h69a702a_0           conda-forge/linux-64      23kB
  + libgfortran5                     13.1.0  h15d22d2_0           conda-forge/linux-64       1MB
  + libglib                          2.76.4  hebfc3b9_0           conda-forge/linux-64       3MB
  + libgpg-error                       1.47  h71f35ed_0           conda-forge/linux-64     261kB
  + libiconv                           1.17  h166bdaf_0           conda-forge/linux-64       1MB
  + liblapack                         3.9.0  17_linux64_openblas  conda-forge/linux-64      14kB
  + libllvm11                        11.1.0  he0ac6c6_5           conda-forge/linux-64      30MB
  + libllvm15                        15.0.7  hadd5161_1           conda-forge/linux-64      33MB
  + libnghttp2                       1.51.0  hdcd2b5c_0           conda-forge/linux-64     623kB
  + libogg                            1.3.4  h7f98852_1           conda-forge/linux-64     211kB
  + libopenblas                      0.3.23  pthreads_h80387f5_0  conda-forge/linux-64       5MB
  + libopus                           1.3.1  h7f98852_1           conda-forge/linux-64     261kB
  + libpng                           1.6.39  h753d276_0           conda-forge/linux-64     283kB
  + libpq                              15.1  hf695f80_1           conda-forge/linux-64       2MB
  + libsndfile                        1.2.0  hb75c966_0           conda-forge/linux-64     350kB
  + libssh2                          1.10.0  haa6b8db_3           conda-forge/linux-64     239kB
  + libsystemd0                         252  h2a991cd_0           conda-forge/linux-64     393kB
  + libtiff                           4.5.0  h6adf6a1_2           conda-forge/linux-64     407kB
  + libtool                           2.4.7  h27087fc_0           conda-forge/linux-64     412kB
  + libudev1                            253  h0b41bf4_0           conda-forge/linux-64     119kB
  + libvorbis                         1.3.7  h9c3ff4c_0           conda-forge/linux-64     286kB
  + libwebp-base                      1.3.1  hd590300_0           conda-forge/linux-64     400kB
  + libxcb                             1.13  h7f98852_1004        conda-forge/linux-64     400kB
  + libxkbcommon                      1.5.0  h79f4944_1           conda-forge/linux-64     563kB
  + libxml2                          2.10.3  hca2bb57_4           conda-forge/linux-64     714kB
  + llvmlite                         0.38.1  py39h7d9a04d_0       conda-forge/linux-64       2MB
  + lz4                              3.1.10  py39h03635ed_0       conda-forge/linux-64      46kB
  + lz4-c                             1.9.3  h9c3ff4c_1           conda-forge/linux-64     184kB
  + matplotlib                        3.5.1  py39hf3d152e_0       conda-forge/linux-64       6kB
  + matplotlib-base                   3.5.1  py39h2fa2bec_0       conda-forge/linux-64       8MB
  + mpg123                           1.31.3  hcb278e6_0           conda-forge/linux-64     485kB
  + mplhep                           0.3.23  pyhd8ed1ab_0         conda-forge/noarch        32kB
  + mplhep_data                       0.0.3  pyhd8ed1ab_0         conda-forge/noarch         5MB
  + munkres                           1.1.4  pyh9f0ad1d_0         conda-forge/noarch        12kB
  + mysql-common                     8.0.32  h14678bc_0           conda-forge/linux-64     803kB
  + mysql-libs                       8.0.32  h54cf53e_0           conda-forge/linux-64       2MB
  + nspr                               4.35  h27087fc_0           conda-forge/linux-64     227kB
  + nss                                3.89  he45b914_0           conda-forge/linux-64       2MB
  + numba                            0.55.1  py39h66db6d7_1       conda-forge/linux-64       4MB
  + numpy                            1.21.5  py39h18676bf_1       conda-forge/linux-64       6MB
  + openjpeg                          2.5.0  hfec8fc6_2           conda-forge/linux-64     352kB
  + pandas                            1.4.1  py39hde0f152_0       conda-forge/linux-64      14MB
  + pcre2                             10.40  hc3806b6_0           conda-forge/linux-64       2MB
  + pillow                            9.4.0  py39h2320bf1_1       conda-forge/linux-64      46MB
  + ply                                3.11  py_1                 conda-forge/noarch        45kB
  + pooch                             1.7.0  pyha770c72_3         conda-forge/noarch        51kB
  + pthread-stubs                       0.4  h36c2ea0_1001        conda-forge/linux-64       6kB
  + pulseaudio                         16.1  h4ab2085_1           conda-forge/linux-64       2MB
  + pyparsing                         3.1.0  pyhd8ed1ab_0         conda-forge/noarch        89kB
  + pyqt                             5.15.7  py39h5c7b992_3       conda-forge/linux-64       5MB
  + pyqt5-sip                       12.11.0  py39h227be39_3       conda-forge/linux-64      85kB
  + python-xxhash                     3.0.0  py39hb9d737c_2       conda-forge/linux-64      22kB
  + qt-main                          5.15.6  h25460bb_4           conda-forge/linux-64      55MB
  + scipy                            1.10.1  py39h7360e5f_0       conda-forge/linux-64      25MB
  + scitokens-cpp                     0.7.1  h0255ffa_0           conda-forge/linux-64       2MB
  + sip                               6.7.9  py39h3d6467e_0       conda-forge/linux-64     488kB
  + sqlite                           3.42.0  h2c6b66d_0           conda-forge/linux-64     818kB
  + toml                             0.10.2  pyhd8ed1ab_0         conda-forge/noarch        18kB
  + uhi                               0.3.3  pyhd8ed1ab_0         conda-forge/noarch        16kB
  + unicodedata2                     15.0.0  py39hb9d737c_0       conda-forge/linux-64     512kB
  + xcb-util                          0.4.0  h516909a_0           conda-forge/linux-64      20kB
  + xcb-util-image                    0.4.0  h166bdaf_0           conda-forge/linux-64      24kB
  + xcb-util-keysyms                  0.4.0  h516909a_0           conda-forge/linux-64      12kB
  + xcb-util-renderutil               0.3.9  h166bdaf_0           conda-forge/linux-64      16kB
  + xcb-util-wm                       0.4.1  h516909a_0           conda-forge/linux-64      56kB
  + xkeyboard-config                   2.38  h0b41bf4_0           conda-forge/linux-64     882kB
  + xorg-libxau                      1.0.11  hd590300_0           conda-forge/linux-64      14kB
  + xorg-libxdmcp                     1.1.3  h7f98852_0           conda-forge/linux-64      19kB
  + xrootd                            5.4.1  py39hbfe9b54_0       conda-forge/linux-64       6MB
  + xxhash                            0.8.0  h7f98852_3           conda-forge/linux-64      88kB
  + zstandard                        0.17.0  py39hb9d737c_1       conda-forge/linux-64     677kB
  + zstd                              1.5.2  hfc55251_7           conda-forge/linux-64     431kB

  Downgrade:
──────────────────────────────────────────────────────────────────────────────────────────────────

  - cryptography                     41.0.1  py39hd4f0224_0       conda-forge                   
  + cryptography                     39.0.0  py39hd598818_0       conda-forge/linux-64       1MB
  - icu                                72.1  hcb278e6_0           conda-forge                   
  + icu                                70.1  h27087fc_0           conda-forge/linux-64      14MB
  - nodejs                          18.15.0  h4abf6b9_1           conda-forge                   
  + nodejs                          18.12.1  h96d913c_0           conda-forge/linux-64      17MB
  - openssl                           3.1.1  hd590300_1           conda-forge                   
  + openssl                          1.1.1u  hd590300_0           conda-forge/linux-64       2MB
  - pip                              23.1.2  pyhd8ed1ab_0         conda-forge                   
  + pip                              22.0.4  pyhd8ed1ab_0         conda-forge/noarch         2MB
  - python                           3.9.16  h2782a2a_0_cpython   conda-forge                   
  + python                           3.9.15  h47a2c10_0_cpython   conda-forge/linux-64      22MB

  Summary:

  Install: 122 packages
  Downgrade: 6 packages

  Total download: 400MB

──────────────────────────────────────────────────────────────────────────────────────────────────



Downloading and Extracting Packages

Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
Installing pip dependencies: ...working... Ran pip subprocess with arguments:
['/srv/conda/envs/notebook/bin/python', '-m', 'pip', 'install', '-U', '-r', '/home/jovyan/condaenv.gfhguh2w.requirements.txt', '--exists-action=b']
Pip subprocess output:
Collecting awkward
  Downloading awkward-2.3.1-py3-none-any.whl (631 kB)
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Collecting fastjet
  Downloading fastjet-3.4.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (81.4 MB)
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Requirement already satisfied: hist in /srv/conda/envs/notebook/lib/python3.9/site-packages (from -r /home/jovyan/requirements.txt (line 3)) (2.6.1)
Collecting hist
  Downloading hist-2.6.3-py3-none-any.whl (36 kB)
Requirement already satisfied: lz4 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from -r /home/jovyan/requirements.txt (line 4)) (3.1.10)
Collecting lz4
  Downloading lz4-4.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)
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Requirement already satisfied: matplotlib in /srv/conda/envs/notebook/lib/python3.9/site-packages (from -r /home/jovyan/requirements.txt (line 5)) (3.5.1)
Collecting matplotlib
  Downloading matplotlib-3.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.6 MB)
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Requirement already satisfied: mplhep in /srv/conda/envs/notebook/lib/python3.9/site-packages (from -r /home/jovyan/requirements.txt (line 6)) (0.3.23)
Collecting mplhep
  Downloading mplhep-0.3.28-py3-none-any.whl (36 kB)
Collecting nlopt
  Downloading nlopt-2.7.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (423 kB)
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Requirement already satisfied: numba in /srv/conda/envs/notebook/lib/python3.9/site-packages (from -r /home/jovyan/requirements.txt (line 8)) (0.55.1)
Collecting numba
  Downloading numba-0.57.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.6 MB)
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Requirement already satisfied: numpy in /srv/conda/envs/notebook/lib/python3.9/site-packages (from -r /home/jovyan/requirements.txt (line 9)) (1.21.5)
Collecting numpy
  Downloading numpy-1.25.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.7 MB)
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Requirement already satisfied: pandas in /srv/conda/envs/notebook/lib/python3.9/site-packages (from -r /home/jovyan/requirements.txt (line 10)) (1.4.1)
Collecting pandas
  Downloading pandas-2.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.4 MB)
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Collecting particle
  Downloading particle-0.23.0-py3-none-any.whl (288 kB)
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Collecting scikit-hep-testdata
  Downloading scikit_hep_testdata-0.4.31-py3-none-any.whl (12 kB)
Collecting uproot
  Downloading uproot-5.0.10-py3-none-any.whl (333 kB)
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Collecting vector
  Downloading vector-1.1.0-py3-none-any.whl (171 kB)
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Collecting zfit
  Downloading zfit-0.14.1-py2.py3-none-any.whl (1.8 MB)
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Requirement already satisfied: zstandard in /srv/conda/envs/notebook/lib/python3.9/site-packages (from -r /home/jovyan/requirements.txt (line 16)) (0.17.0)
Collecting zstandard
  Downloading zstandard-0.21.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.7 MB)
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Collecting awkward-cpp==21
  Downloading awkward_cpp-21-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB)
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Requirement already satisfied: typing-extensions>=4.1.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from awkward->-r /home/jovyan/requirements.txt (line 1)) (4.6.3)
Requirement already satisfied: packaging in /srv/conda/envs/notebook/lib/python3.9/site-packages (from awkward->-r /home/jovyan/requirements.txt (line 1)) (23.1)
Requirement already satisfied: histoprint>=2.2.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from hist->-r /home/jovyan/requirements.txt (line 3)) (2.4.0)
Requirement already satisfied: boost-histogram~=1.3.1 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from hist->-r /home/jovyan/requirements.txt (line 3)) (1.3.2)
Requirement already satisfied: kiwisolver>=1.0.1 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from matplotlib->-r /home/jovyan/requirements.txt (line 5)) (1.4.4)
Requirement already satisfied: python-dateutil>=2.7 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from matplotlib->-r /home/jovyan/requirements.txt (line 5)) (2.8.2)
Requirement already satisfied: cycler>=0.10 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from matplotlib->-r /home/jovyan/requirements.txt (line 5)) (0.11.0)
Collecting pyparsing<3.1,>=2.3.1
  Downloading pyparsing-3.0.9-py3-none-any.whl (98 kB)
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Requirement already satisfied: fonttools>=4.22.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from matplotlib->-r /home/jovyan/requirements.txt (line 5)) (4.40.0)
Requirement already satisfied: importlib-resources>=3.2.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from matplotlib->-r /home/jovyan/requirements.txt (line 5)) (5.12.0)
Collecting contourpy>=1.0.1
  Downloading contourpy-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (300 kB)
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Requirement already satisfied: pillow>=6.2.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from matplotlib->-r /home/jovyan/requirements.txt (line 5)) (9.4.0)
Requirement already satisfied: mplhep-data in /srv/conda/envs/notebook/lib/python3.9/site-packages (from mplhep->-r /home/jovyan/requirements.txt (line 6)) (0.0.0)
Requirement already satisfied: uhi>=0.2.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from mplhep->-r /home/jovyan/requirements.txt (line 6)) (0.3.3)
Collecting numpy
  Downloading numpy-1.24.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
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Collecting llvmlite<0.41,>=0.40.0dev0
  Downloading llvmlite-0.40.1-�[91mPip subprocess error:
ERROR: Cannot uninstall 'llvmlite'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.

�[0mcp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (42.1 MB)
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Collecting tzdata>=2022.1
  Downloading tzdata-2023.3-py2.py3-none-any.whl (341 kB)
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Requirement already satisfied: pytz>=2020.1 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from pandas->-r /home/jovyan/requirements.txt (line 10)) (2023.3)
Requirement already satisfied: attrs>=19.2 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from particle->-r /home/jovyan/requirements.txt (line 11)) (23.1.0)
Collecting hepunits>=2.0.0
  Downloading hepunits-2.3.2-py3-none-any.whl (14 kB)
Collecting deprecated
  Downloading Deprecated-1.2.14-py2.py3-none-any.whl (9.6 kB)
Requirement already satisfied: requests in /srv/conda/envs/notebook/lib/python3.9/site-packages (from scikit-hep-testdata->-r /home/jovyan/requirements.txt (line 12)) (2.31.0)
Requirement already satisfied: pyyaml in /srv/conda/envs/notebook/lib/python3.9/site-packages (from scikit-hep-testdata->-r /home/jovyan/requirements.txt (line 12)) (6.0)
Collecting dill
  Downloading dill-0.3.6-py3-none-any.whl (110 kB)
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Collecting colorlog
  Downloading colorlog-6.7.0-py2.py3-none-any.whl (11 kB)
Requirement already satisfied: iminuit>=2.3 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from zfit->-r /home/jovyan/requirements.txt (line 15)) (2.22.0)
Collecting zfit-interface
  Downloading zfit_interface-0.0.3-py2.py3-none-any.whl (11 kB)
Requirement already satisfied: scipy>=1.2 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from zfit->-r /home/jovyan/requirements.txt (line 15)) (1.10.1)
Collecting numdifftools
  Downloading numdifftools-0.9.41-py2.py3-none-any.whl (100 kB)
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Collecting tensorflow-probability<0.21,>=0.20
  Downloading tensorflow_probability-0.20.1-py2.py3-none-any.whl (6.9 MB)
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Collecting texttable
  Downloading texttable-1.6.7-py2.py3-none-any.whl (10 kB)
Collecting jacobi
  Downloading jacobi-0.8.1-py3-none-any.whl (10 kB)
Collecting ordered-set
  Downloading ordered_set-4.1.0-py3-none-any.whl (7.6 kB)
Collecting frozendict
  Downloading frozendict-2.3.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (114 kB)
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Collecting colored
  Downloading colored-2.2.2-py3-none-any.whl (16 kB)
Collecting dotmap
  Downloading dotmap-1.3.30-py3-none-any.whl (11 kB)
Collecting pydantic<2.0.0
  Downloading pydantic-1.10.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB)
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Collecting tensorflow<2.13,>=2.12
  Downloading tensorflow-2.12.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (585.9 MB)
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Collecting tabulate
  Downloading tabulate-0.9.0-py3-none-any.whl (35 kB)
Collecting colorama
  Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)
Requirement already satisfied: xxhash in /srv/conda/envs/notebook/lib/python3.9/site-packages (from zfit->-r /home/jovyan/requirements.txt (line 15)) (0.0.0)
Requirement already satisfied: click>=7.0.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from histoprint>=2.2.0->hist->-r /home/jovyan/requirements.txt (line 3)) (8.1.4)
Requirement already satisfied: zipp>=3.1.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from importlib-resources>=3.2.0->matplotlib->-r /home/jovyan/requirements.txt (line 5)) (3.15.0)
Requirement already satisfied: six>=1.5 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from python-dateutil>=2.7->matplotlib->-r /home/jovyan/requirements.txt (line 5)) (1.16.0)
Collecting keras<2.13,>=2.12.0
  Downloading keras-2.12.0-py2.py3-none-any.whl (1.7 MB)
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Collecting typing-extensions>=4.1.0
  Downloading typing_extensions-4.5.0-py3-none-any.whl (27 kB)
Collecting tensorflow-estimator<2.13,>=2.12.0
  Downloading tensorflow_estimator-2.12.0-py2.py3-none-any.whl (440 kB)
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Collecting flatbuffers>=2.0
  Downloading flatbuffers-23.5.26-py2.py3-none-any.whl (26 kB)
Collecting libclang>=13.0.0
  Downloading libclang-16.0.0-py2.py3-none-manylinux2010_x86_64.whl (22.9 MB)
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Collecting grpcio<2.0,>=1.24.3
  Downloading grpcio-1.56.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.2 MB)
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Collecting numpy
  Downloading numpy-1.24.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
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Collecting google-pasta>=0.1.1
  Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)
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Collecting protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3
  Downloading protobuf-4.23.4-cp37-abi3-manylinux2014_x86_64.whl (304 kB)
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Collecting tensorflow-io-gcs-filesystem>=0.23.1
  Downloading tensorflow_io_gcs_filesystem-0.32.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.4 MB)
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Collecting gast<=0.4.0,>=0.2.1
  Downloading gast-0.4.0-py3-none-any.whl (9.8 kB)
Collecting tensorboard<2.13,>=2.12
  Downloading tensorboard-2.12.3-py3-none-any.whl (5.6 MB)
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Collecting h5py>=2.9.0
  Downloading h5py-3.9.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB)
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Collecting jax>=0.3.15
  Downloading jax-0.4.13.tar.gz (1.3 MB)
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  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: setuptools in /srv/conda/envs/notebook/lib/python3.9/site-packages (from tensorflow<2.13,>=2.12->zfit->-r /home/jovyan/requirements.txt (line 15)) (67.7.2)
Collecting opt-einsum>=2.3.2
  Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)
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Collecting termcolor>=1.1.0
  Downloading termcolor-2.3.0-py3-none-any.whl (6.9 kB)
Collecting astunparse>=1.6.0
  Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Collecting absl-py>=1.0.0
  Downloading absl_py-1.4.0-py3-none-any.whl (126 kB)
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Collecting wrapt<1.15,>=1.11.0
  Downloading wrapt-1.14.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (77 kB)
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Collecting dm-tree
  Downloading dm_tree-0.1.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (153 kB)
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Collecting cloudpickle>=1.3
  Downloading cloudpickle-2.2.1-py3-none-any.whl (25 kB)
Requirement already satisfied: decorator in /srv/conda/envs/notebook/lib/python3.9/site-packages (from tensorflow-probability<0.21,>=0.20->zfit->-r /home/jovyan/requirements.txt (line 15)) (5.1.1)
Requirement already satisfied: idna<4,>=2.5 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from requests->scikit-hep-testdata->-r /home/jovyan/requirements.txt (line 12)) (3.4)
Requirement already satisfied: certifi>=2017.4.17 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from requests->scikit-hep-testdata->-r /home/jovyan/requirements.txt (line 12)) (2023.5.7)
Requirement already satisfied: charset-normalizer<4,>=2 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from requests->scikit-hep-testdata->-r /home/jovyan/requirements.txt (line 12)) (3.1.0)
Requirement already satisfied: urllib3<3,>=1.21.1 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from requests->scikit-hep-testdata->-r /home/jovyan/requirements.txt (line 12)) (2.0.3)
Requirement already satisfied: wheel<1.0,>=0.23.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from astunparse>=1.6.0->tensorflow<2.13,>=2.12->zfit->-r /home/jovyan/requirements.txt (line 15)) (0.40.0)
Requirement already satisfied: importlib-metadata>=4.6 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from jax>=0.3.15->tensorflow<2.13,>=2.12->zfit->-r /home/jovyan/requirements.txt (line 15)) (6.6.0)
Collecting ml-dtypes>=0.1.0
  Downloading ml_dtypes-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB)
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Collecting tensorboard-data-server<0.8.0,>=0.7.0
  Downloading tensorboard_data_server-0.7.1-py3-none-manylinux2014_x86_64.whl (6.6 MB)
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Collecting werkzeug>=1.0.1
  Downloading Werkzeug-2.3.6-py3-none-any.whl (242 kB)
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Collecting markdown>=2.6.8
  Downloading Markdown-3.4.3-py3-none-any.whl (93 kB)
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Collecting google-auth<3,>=1.6.3
  Downloading google_auth-2.21.0-py2.py3-none-any.whl (182 kB)
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Collecting google-auth-oauthlib<1.1,>=0.5
  Downloading google_auth_oauthlib-1.0.0-py2.py3-none-any.whl (18 kB)
Collecting pyasn1-modules>=0.2.1
  Downloading pyasn1_modules-0.3.0-py2.py3-none-any.whl (181 kB)
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Collecting urllib3<3,>=1.21.1
  Downloading urllib3-1.26.16-py2.py3-none-any.whl (143 kB)
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Collecting cachetools<6.0,>=2.0.0
  Downloading cachetools-5.3.1-py3-none-any.whl (9.3 kB)
Collecting rsa<5,>=3.1.4
  Downloading rsa-4.9-py3-none-any.whl (34 kB)
Collecting requests-oauthlib>=0.7.0
  Downloading requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB)
Requirement already satisfied: MarkupSafe>=2.1.1 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from werkzeug>=1.0.1->tensorboard<2.13,>=2.12->tensorflow<2.13,>=2.12->zfit->-r /home/jovyan/requirements.txt (line 15)) (2.1.3)
Collecting pyasn1<0.6.0,>=0.4.6
  Downloading pyasn1-0.5.0-py2.py3-none-any.whl (83 kB)
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Requirement already satisfied: oauthlib>=3.0.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard<2.13,>=2.12->tensorflow<2.13,>=2.12->zfit->-r /home/jovyan/requirements.txt (line 15)) (3.2.2)
Building wheels for collected packages: jax
  Building wheel for jax (pyproject.toml): started
  Building wheel for jax (pyproject.toml): finished with status 'done'
  Created wheel for jax: filename=jax-0.4.13-py3-none-any.whl size=1518707 sha256=155307b63b9bfa01135d092ca1550679897c0d61e8ee82dfb19f84b1c91d83c0
  Stored in directory: /home/jovyan/.cache/pip/wheels/ac/c9/8c/f4c803770fde18dcdd82e84675eb6add1c0d1035f7214a96fa
Successfully built jax
Installing collected packages: texttable, libclang, flatbuffers, dotmap, dm-tree, zstandard, wrapt, werkzeug, urllib3, tzdata, typing-extensions, termcolor, tensorflow-io-gcs-filesystem, tensorflow-estimator, tensorboard-data-server, tabulate, pyparsing, pyasn1, protobuf, ordered-set, numpy, lz4, llvmlite, keras, hepunits, grpcio, google-pasta, gast, frozendict, dill, colorlog, colored, colorama, cloudpickle, cachetools, astunparse, absl-py, vector, tensorflow-probability, rsa, pydantic, pyasn1-modules, pandas, opt-einsum, numba, nlopt, ml-dtypes, markdown, jacobi, h5py, deprecated, contourpy, awkward-cpp, zfit-interface, scikit-hep-testdata, requests-oauthlib, particle, numdifftools, matplotlib, jax, google-auth, awkward, uproot, mplhep, hist, google-auth-oauthlib, fastjet, tensorboard, tensorflow, zfit
  Attempting uninstall: zstandard
    Found existing installation: zstandard 0.17.0
    Uninstalling zstandard-0.17.0:
      Successfully uninstalled zstandard-0.17.0
  Attempting uninstall: urllib3
    Found existing installation: urllib3 2.0.3
    Uninstalling urllib3-2.0.3:
      Successfully uninstalled urllib3-2.0.3
  Attempting uninstall: typing-extensions
    Found existing installation: typing_extensions 4.6.3
    Uninstalling typing_extensions-4.6.3:
      Successfully uninstalled typing_extensions-4.6.3
  Attempting uninstall: pyparsing
    Found existing installation: pyparsing 3.1.0
    Uninstalling pyparsing-3.1.0:
      Successfully uninstalled pyparsing-3.1.0
  Attempting uninstall: numpy
    Found existing installation: numpy 1.21.5
    Uninstalling numpy-1.21.5:
      Successfully uninstalled numpy-1.21.5
  Attempting uninstall: lz4
    Found existing installation: lz4 3.1.10
    Uninstalling lz4-3.1.10:
      Successfully uninstalled lz4-3.1.10
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.38.1

failed
�[91m
CondaEnvException: Pip failed

�[0m�[91mtime: 278.761
�[0mRemoving intermediate container 59051f8ce84e
The command '/bin/sh -c TIMEFORMAT='time: %3R' bash -c 'time ${MAMBA_EXE} env update -p ${NB_PYTHON_PREFIX} --file "environment.yml" && time ${MAMBA_EXE} clean --all -f -y && ${MAMBA_EXE} list -p ${NB_PYTHON_PREFIX} '' returned a non-zero code: 1

The fact that the last pip uninstall message seems to be cut short sounds like there was a timeout.

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stale bot commented Sep 9, 2023

This issue or pull request has been automatically marked as stale because it has not had recent activity. Please manually close it, if it is no longer relevant, or ask for help or support to help getting it unstuck. Let me bring this to the attention of @klieret @wdconinc @michmx for now.

@stale stale bot added the stale label Sep 9, 2023
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