[0KRunning with gitlab-runner 17.1.0 (fe451d5a)[0;m
[0K on gitlab-runner6.centralesupelec.fr WAqsYXox, system ID: s_1a2159fdb99a[0;m
section_start:1724909393:prepare_executor
[0K[0K[36;1mPreparing the "shell" executor[0;m[0;m
[0KUsing Shell (bash) executor...[0;m
section_end:1724909393:prepare_executor
[0Ksection_start:1724909393:prepare_script
[0K[0K[36;1mPreparing environment[0;m[0;m
Running on gitlab-runner6.centralesupelec.fr...
section_end:1724909393:prepare_script
[0Ksection_start:1724909393:get_sources
[0K[0K[36;1mGetting source from Git repository[0;m[0;m
[32;1mFetching changes with git depth set to 20...[0;m
Reinitialized existing Git repository in /home/gitlab-runner/builds/WAqsYXox/0/nicolas.thiery/my-docker-tutoriel-jupyter/.git/
[32;1mChecking out b848cd44 as detached HEAD (ref is main)...[0;m
[32;1mSkipping Git submodules setup[0;m
section_end:1724909393:get_sources
[0Ksection_start:1724909393:step_script
[0K[0K[36;1mExecuting "step_script" stage of the job script[0;m[0;m
[32;1m$ docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY[0;m
WARNING! Using --password via the CLI is insecure. Use --password-stdin.
WARNING! Your password will be stored unencrypted in /home/gitlab-runner/.docker/config.json.
Configure a credential helper to remove this warning. See
https://docs.docker.com/engine/reference/commandline/login/#credential-stores
Login Succeeded
[32;1m$ docker build -t ${DEPENDENCIES_IMAGE_NAME} --file Dockerfile-CI .[0;m
#0 building with "default" instance using docker driver
#1 [internal] load build definition from Dockerfile-CI
#1 transferring dockerfile: 586B done
#1 DONE 0.0s
#2 [internal] load metadata for docker.io/mambaorg/micromamba:latest
#2 DONE 1.2s
#3 [internal] load .dockerignore
#3 transferring context: 2B done
#3 DONE 0.0s
#4 [internal] load build context
#4 transferring context: 48.16kB 0.0s done
#4 DONE 0.1s
#5 [1/5] FROM docker.io/mambaorg/micromamba:latest@sha256:475730daef12ff9c0733e70092aeeefdf4c373a584c952dac3f7bdb739601990
#5 resolve docker.io/mambaorg/micromamba:latest@sha256:475730daef12ff9c0733e70092aeeefdf4c373a584c952dac3f7bdb739601990 done
#5 sha256:69197a394b85ad1e7ce2398cdaffa75c12e5cd9dcc8529651342818e7b239e59 2.56kB / 2.56kB done
#5 sha256:e4fff0779e6ddd22366469f08626c3ab1884b5cbe1719b26da238c95f247b305 0B / 29.13MB 0.1s
#5 sha256:c9a3dce55fa977c4811896aae460a280c5e10b6babb0166e7df22869d05cca09 0B / 122.68kB 0.1s
#5 sha256:475730daef12ff9c0733e70092aeeefdf4c373a584c952dac3f7bdb739601990 2.36kB / 2.36kB done
#5 sha256:d8ec36f8766297e87963bb22d089a6bac98e23b7cae3e5a717bfa62da8c2933f 6.29kB / 6.29kB done
#5 sha256:c53a092f01542f27743b8e5eb6380a3f6c4126e1454bb229adc803c6159b236e 0B / 6.06MB 0.1s
#5 sha256:e4fff0779e6ddd22366469f08626c3ab1884b5cbe1719b26da238c95f247b305 2.10MB / 29.13MB 0.2s
#5 sha256:e4fff0779e6ddd22366469f08626c3ab1884b5cbe1719b26da238c95f247b305 29.13MB / 29.13MB 0.4s done
#5 sha256:c9a3dce55fa977c4811896aae460a280c5e10b6babb0166e7df22869d05cca09 122.68kB / 122.68kB 0.4s
#5 sha256:c53a092f01542f27743b8e5eb6380a3f6c4126e1454bb229adc803c6159b236e 6.06MB / 6.06MB 0.4s
#5 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 0B / 32B 0.4s
#5 sha256:c9a3dce55fa977c4811896aae460a280c5e10b6babb0166e7df22869d05cca09 122.68kB / 122.68kB 0.4s done
#5 sha256:c53a092f01542f27743b8e5eb6380a3f6c4126e1454bb229adc803c6159b236e 6.06MB / 6.06MB 0.4s done
#5 extracting sha256:e4fff0779e6ddd22366469f08626c3ab1884b5cbe1719b26da238c95f247b305 0.1s
#5 sha256:8d1e1fc2982befe8a4222f190deb1dd1a465bdcd39d08e540b227dc2c78671b7 0B / 521B 0.5s
#5 sha256:27dded3b689263d0fa2c4007a9a20c455f8c57d3a07dea42b747bf8fcae1fbae 0B / 283B 0.5s
#5 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 32B / 32B 0.5s done
#5 sha256:8d1e1fc2982befe8a4222f190deb1dd1a465bdcd39d08e540b227dc2c78671b7 521B / 521B 0.5s done
#5 sha256:27dded3b689263d0fa2c4007a9a20c455f8c57d3a07dea42b747bf8fcae1fbae 283B / 283B 0.6s done
#5 sha256:514e6f58a3981e58d107f52f42ddac4b4630ad6856303762cc8687e81c6411f9 0B / 214B 0.6s
#5 sha256:f14bee2f36c553c162791b50a3033087beeb8efd64c469c55b4b213655f9ce8e 0B / 683B 0.6s
#5 sha256:5ff289cba971d27fd2ed5c6e13cd944739ec9489998da93400bccf66d7c03d91 0B / 3.78kB 0.6s
#5 sha256:514e6f58a3981e58d107f52f42ddac4b4630ad6856303762cc8687e81c6411f9 214B / 214B 0.7s done
#5 sha256:f14bee2f36c553c162791b50a3033087beeb8efd64c469c55b4b213655f9ce8e 683B / 683B 0.7s done
#5 sha256:5ff289cba971d27fd2ed5c6e13cd944739ec9489998da93400bccf66d7c03d91 3.78kB / 3.78kB 0.6s done
#5 sha256:1002294c9bed4933726f7a34c01d526e5c57a16d1ef0d5e12d144429ef7a4a2c 0B / 346B 0.7s
#5 sha256:38b0c124d9b4103abdce4bfb08bc6e310b4dc3ffb27978d77350e7955ddec8b2 0B / 645B 0.7s
#5 sha256:1002294c9bed4933726f7a34c01d526e5c57a16d1ef0d5e12d144429ef7a4a2c 346B / 346B 0.8s done
#5 sha256:38b0c124d9b4103abdce4bfb08bc6e310b4dc3ffb27978d77350e7955ddec8b2 645B / 645B 0.8s done
#5 extracting sha256:e4fff0779e6ddd22366469f08626c3ab1884b5cbe1719b26da238c95f247b305 2.1s done
#5 extracting sha256:c9a3dce55fa977c4811896aae460a280c5e10b6babb0166e7df22869d05cca09 0.0s done
#5 extracting sha256:c53a092f01542f27743b8e5eb6380a3f6c4126e1454bb229adc803c6159b236e 0.1s
#5 extracting sha256:c53a092f01542f27743b8e5eb6380a3f6c4126e1454bb229adc803c6159b236e 0.2s done
#5 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 done
#5 extracting sha256:8d1e1fc2982befe8a4222f190deb1dd1a465bdcd39d08e540b227dc2c78671b7
#5 extracting sha256:8d1e1fc2982befe8a4222f190deb1dd1a465bdcd39d08e540b227dc2c78671b7 done
#5 extracting sha256:27dded3b689263d0fa2c4007a9a20c455f8c57d3a07dea42b747bf8fcae1fbae done
#5 extracting sha256:5ff289cba971d27fd2ed5c6e13cd944739ec9489998da93400bccf66d7c03d91 done
#5 extracting sha256:514e6f58a3981e58d107f52f42ddac4b4630ad6856303762cc8687e81c6411f9 done
#5 extracting sha256:f14bee2f36c553c162791b50a3033087beeb8efd64c469c55b4b213655f9ce8e
#5 extracting sha256:f14bee2f36c553c162791b50a3033087beeb8efd64c469c55b4b213655f9ce8e done
#5 extracting sha256:38b0c124d9b4103abdce4bfb08bc6e310b4dc3ffb27978d77350e7955ddec8b2 0.0s done
#5 extracting sha256:1002294c9bed4933726f7a34c01d526e5c57a16d1ef0d5e12d144429ef7a4a2c done
#5 DONE 3.1s
#6 [2/5] COPY --chown=mambauser:mambauser . /tmp/binder
#6 DONE 0.2s
#7 [3/5] RUN cd /tmp/binder && micromamba install -y -n base -f environment.yml && micromamba clean --all --yes
#7 19.59
#7 19.59 Transaction
#7 19.59
#7 19.59 Prefix: /opt/conda
#7 19.59
#7 19.59 Updating specs:
#7 19.59
#7 19.59 - python[version='>=3.11']
#7 19.59 - make
#7 19.59 - mamba
#7 19.59 - git
#7 19.59 - jupyterlab[version='>=4']
#7 19.59 - jupyterlab-language-pack-fr-FR
#7 19.59 - nbgitpuller
#7 19.59 - jupyterlab_widgets
#7 19.59 - ipywidgets
#7 19.59 - ipylab
#7 19.59 - jupyter_app_launcher
#7 19.59 - ipydatagrid
#7 19.59 - ipympl
#7 19.59 - jupyter-resource-usage
#7 19.59 - jupyterlab-git
#7 19.59 - jupyterlab_code_formatter
#7 19.59 - jupyter_console
#7 19.59 - jupytext
#7 19.59 - jupyterlab-myst[version='>=2.4.2']
#7 19.59 - jupyter-book
#7 19.59 - mystmd
#7 19.59 - nodejs
#7 19.59 - nbgrader[version='>=0.9.3']
#7 19.59 - jupyterlab-deck
#7 19.59 - matplotlib-base
#7 19.59 - bqplot
#7 19.59 - pandas
#7 19.59 - pyarrow
#7 19.59 - seaborn
#7 19.59 - sympy
#7 19.59 - ipyleaflet
#7 19.59 - folium
#7 19.59 - networkx
#7 19.59 - xarray
#7 19.59 - ipytone
#7 19.59 - netcdf4
#7 19.59 - pooch
#7 19.59 - curl
#7 19.59 - tabulate
#7 19.59 - pillow
#7 19.59 - mscorefonts
#7 19.59 - scikit-learn
#7 19.59 - tensorflow-cpu
#7 19.59 - python-lsp-server
#7 19.59 - black
#7 19.59 - flake8
#7 19.59 - mypy
#7 19.59 - types-setuptools
#7 19.59 - pytest
#7 19.59 - tqdm
#7 19.59 - pip
#7 19.59
#7 19.59
#7 19.62 Package Version Build Channel Size
#7 19.62 ───────────────────────────────────────────────────────────────────────────────────────────────────────
#7 19.62 Install:
#7 19.62 ───────────────────────────────────────────────────────────────────────────────────────────────────────
#7 19.62
#7 19.62 + mscorefonts 0.0.1 3 conda-forge 3MB
#7 19.62 + tzdata 2024a h8827d51_1 conda-forge 124kB
#7 19.62 + pybind11-abi 4 hd8ed1ab_3 conda-forge 10kB
#7 19.62 + pandoc 3.3 ha770c72_0 conda-forge 21MB
#7 19.62 + _libgcc_mutex 0.1 conda_forge conda-forge 3kB
#7 19.62 + python_abi 3.12 5_cp312 conda-forge 6kB
#7 19.62 + ld_impl_linux-64 2.40 hf3520f5_7 conda-forge 708kB
#7 19.62 + ca-certificates 2024.7.4 hbcca054_0 conda-forge 155kB
#7 19.62 + libgomp 14.1.0 h77fa898_1 conda-forge 460kB
#7 19.62 + _openmp_mutex 4.5 2_gnu conda-forge 24kB
#7 19.62 + libgcc 14.1.0 h77fa898_1 conda-forge 846kB
#7 19.62 + libgfortran5 14.1.0 hc5f4f2c_1 conda-forge 1MB
#7 19.62 + libstdcxx 14.1.0 hc0a3c3a_1 conda-forge 4MB
#7 19.62 + libgcc-ng 14.1.0 h69a702a_1 conda-forge 52kB
#7 19.62 + libgfortran 14.1.0 h69a702a_1 conda-forge 52kB
#7 19.62 + libstdcxx-ng 14.1.0 h4852527_1 conda-forge 52kB
#7 19.62 + xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge 19kB
#7 19.62 + pthread-stubs 0.4 h36c2ea0_1001 conda-forge 6kB
#7 19.62 + libsodium 1.0.18 h36c2ea0_1 conda-forge 375kB
#7 19.62 + libev 4.33 hd590300_2 conda-forge 113kB
#7 19.62 + lzo 2.10 hd590300_1001 conda-forge 171kB
#7 19.62 + c-ares 1.33.1 heb4867d_0 conda-forge 183kB
#7 19.62 + reproc 14.2.4.post0 hd590300_1 conda-forge 34kB
#7 19.62 + libiconv 1.17 hd590300_2 conda-forge 706kB
#7 19.62 + xorg-libxau 1.0.11 hd590300_0 conda-forge 14kB
#7 19.62 + libdeflate 1.21 h4bc722e_0 conda-forge 71kB
#7 19.62 + libbrotlicommon 1.1.0 hd590300_1 conda-forge 69kB
#7 19.62 + aws-c-common 0.9.27 h4bc722e_0 conda-forge 237kB
#7 19.62 + libutf8proc 2.8.0 h166bdaf_0 conda-forge 101kB
#7 19.62 + libxcrypt 4.4.36 hd590300_1 conda-forge 100kB
#7 19.62 + libffi 3.4.2 h7f98852_5 conda-forge 58kB
#7 19.62 + bzip2 1.0.8 h4bc722e_7 conda-forge 253kB
#7 19.62 + yaml 0.2.5 h7f98852_2 conda-forge 89kB
#7 19.62 + ncurses 6.5 he02047a_1 conda-forge 889kB
#7 19.62 + libjpeg-turbo 3.0.0 hd590300_1 conda-forge 619kB
#7 19.62 + openssl 3.3.1 hb9d3cd8_3 conda-forge 3MB
#7 19.62 + libzlib 1.3.1 h4ab18f5_1 conda-forge 62kB
#7 19.62 + giflib 5.2.2 hd590300_0 conda-forge 77kB
#7 19.62 + libwebp-base 1.4.0 hd590300_0 conda-forge 439kB
#7 19.62 + keyutils 1.6.1 h166bdaf_0 conda-forge 118kB
#7 19.62 + libuv 1.48.0 hd590300_0 conda-forge 900kB
#7 19.62 + make 4.4.1 hb9d3cd8_0 conda-forge 516kB
#7 19.62 + libuuid 2.38.1 h0b41bf4_0 conda-forge 34kB
#7 19.62 + libnsl 2.0.1 hd590300_0 conda-forge 33kB
#7 19.62 + libexpat 2.6.2 h59595ed_0 conda-forge 74kB
#7 19.62 + xz 5.2.6 h166bdaf_0 conda-forge 418kB
#7 19.62 + libgfortran-ng 14.1.0 h69a702a_1 conda-forge 52kB
#7 19.62 + gmp 6.3.0 hac33072_2 conda-forge 460kB
#7 19.62 + gflags 2.2.2 he1b5a44_1004 conda-forge 117kB
#7 19.62 + qhull 2020.2 h434a139_5 conda-forge 553kB
#7 19.62 + libaec 1.1.3 h59595ed_0 conda-forge 35kB
#7 19.62 + lz4-c 1.9.4 hcb278e6_0 conda-forge 143kB
#7 19.62 + lerc 4.0.0 h27087fc_0 conda-forge 282kB
#7 19.62 + libcrc32c 1.1.2 h9c3ff4c_0 conda-forge 20kB
#7 19.62 + libabseil 20240116.2 cxx17_he02047a_1 conda-forge 1MB
#7 19.62 + snappy 1.2.1 ha2e4443_0 conda-forge 42kB
#7 19.62 + flatbuffers 24.3.25 h59595ed_0 conda-forge 1MB
#7 19.62 + icu 75.1 he02047a_0 conda-forge 12MB
#7 19.62 + yaml-cpp 0.8.0 h59595ed_0 conda-forge 205kB
#7 19.62 + fmt 10.2.1 h00ab1b0_0 conda-forge 194kB
#7 19.62 + reproc-cpp 14.2.4.post0 h59595ed_1 conda-forge 25kB
#7 19.62 + libxcb 1.16 hb9d3cd8_1 conda-forge 396kB
#7 19.62 + libbrotlienc 1.1.0 hd590300_1 conda-forge 283kB
#7 19.62 + libbrotlidec 1.1.0 hd590300_1 conda-forge 33kB
#7 19.62 + aws-c-compression 0.2.19 haa50ccc_0 conda-forge 19kB
#7 19.62 + aws-c-sdkutils 0.1.19 h038f3f9_2 conda-forge 56kB
#7 19.62 + aws-checksums 0.1.18 h038f3f9_10 conda-forge 50kB
#7 19.62 + perl 5.32.1 7_hd590300_perl5 conda-forge 13MB
#7 19.62 + libedit 3.1.20191231 he28a2e2_2 conda-forge 124kB
#7 19.62 + readline 8.2 h8228510_1 conda-forge 281kB
#7 19.62 + libevent 2.1.12 hf998b51_1 conda-forge 427kB
#7 19.62 + s2n 1.5.1 h3400bea_0 conda-forge 357kB
#7 19.62 + aws-c-cal 0.7.4 h2abdd08_0 conda-forge 47kB
#7 19.62 + pcre2 10.44 hba22ea6_2 conda-forge 952kB
#7 19.62 + libnghttp2 1.58.0 h47da74e_1 conda-forge 632kB
#7 19.62 + libsolv 0.7.30 h3509ff9_0 conda-forge 471kB
#7 19.62 + libzip 1.10.1 h2629f0a_3 conda-forge 107kB
#7 19.62 + hdf4 4.2.15 h2a13503_7 conda-forge 757kB
#7 19.62 + tk 8.6.13 noxft_h4845f30_101 conda-forge 3MB
#7 19.62 + zlib 1.3.1 h4ab18f5_1 conda-forge 93kB
#7 19.62 + libpng 1.6.43 h2797004_0 conda-forge 288kB
#7 19.62 + zstd 1.5.6 ha6fb4c9_0 conda-forge 555kB
#7 19.62 + libssh2 1.11.0 h0841786_0 conda-forge 271kB
#7 19.62 + libsqlite 3.46.0 hde9e2c9_0 conda-forge 865kB
#7 19.62 + libopenblas 0.3.27 pthreads_hac2b453_1 conda-forge 6MB
#7 19.62 + mpfr 4.2.1 h38ae2d0_2 conda-forge 641kB
#7 19.62 + glog 0.7.1 hbabe93e_0 conda-forge 143kB
#7 19.62 + libre2-11 2023.09.01 h5a48ba9_2 conda-forge 233kB
#7 19.62 + libprotobuf 4.25.3 h08a7969_0 conda-forge 3MB
#7 19.62 + libxml2 2.12.7 he7c6b58_4 conda-forge 707kB
#7 19.62 + brotli-bin 1.1.0 hd590300_1 conda-forge 19kB
#7 19.62 + krb5 1.21.3 h659f571_0 conda-forge 1MB
#7 19.62 + libthrift 0.20.0 h0e7cc3e_1 conda-forge 417kB
#7 19.62 + aws-c-io 0.14.18 h49c7fd3_7 conda-forge 159kB
#7 19.62 + nodejs 22.7.0 hf235a45_0 conda-forge 21MB
#7 19.62 + freetype 2.12.1 h267a509_2 conda-forge 635kB
#7 19.62 + blosc 1.21.6 hef167b5_0 conda-forge 49kB
#7 19.62 + libtiff 4.6.0 h46a8edc_4 conda-forge 282kB
#7 19.62 + python 3.12.5 h2ad013b_0_cpython conda-forge 32MB
#7 19.62 + libblas 3.9.0 23_linux64_openblas conda-forge 15kB
#7 19.62 + mpc 1.3.1 h24ddda3_0 conda-forge 117kB
#7 19.62 + re2 2023.09.01 h7f4b329_2 conda-forge 27kB
#7 19.62 + orc 2.0.2 h669347b_0 conda-forge 1MB
#7 19.62 + libarchive 3.7.4 hfca40fe_0 conda-forge 872kB
#7 19.62 + brotli 1.1.0 hd590300_1 conda-forge 19kB
#7 19.62 + zeromq 4.3.5 h75354e8_4 conda-forge 353kB
#7 19.62 + libcurl 8.9.1 hdb1bdb2_0 conda-forge 416kB
#7 19.62 + aws-c-http 0.8.8 h9b61739_1 conda-forge 197kB
#7 19.62 + aws-c-event-stream 0.4.3 h570d160_0 conda-forge 54kB
#7 19.62 + openjpeg 2.5.2 h488ebb8_0 conda-forge 342kB
#7 19.62 + lcms2 2.16 hb7c19ff_0 conda-forge 245kB
#7 19.62 + libcblas 3.9.0 23_linux64_openblas conda-forge 15kB
#7 19.62 + liblapack 3.9.0 23_linux64_openblas conda-forge 15kB
#7 19.62 + libgrpc 1.62.2 h15f2491_0 conda-forge 7MB
#7 19.62 + hdf5 1.14.3 nompi_hdf9ad27_105 conda-forge 4MB
#7 19.62 + azure-core-cpp 1.13.0 h935415a_0 conda-forge 338kB
#7 19.62 + curl 8.9.1 h18eb788_0 conda-forge 169kB
#7 19.62 + git 2.46.0 pl5321hb5640b7_0 conda-forge 11MB
#7 19.62 + libmamba 1.5.8 had39da4_0 conda-forge 2MB
#7 19.62 + aws-c-mqtt 0.10.4 h5c8269d_18 conda-forge 164kB
#7 19.62 + aws-c-auth 0.7.26 hc36b679_2 conda-forge 108kB
#7 19.62 + libgoogle-cloud 2.28.0 h26d7fe4_0 conda-forge 1MB
#7 19.62 + libnetcdf 4.9.2 nompi_h135f659_114 conda-forge 849kB
#7 19.62 + azure-identity-cpp 1.8.0 hd126650_2 conda-forge 200kB
#7 19.62 + azure-storage-common-cpp 12.7.0 h10ac4d7_1 conda-forge 143kB
#7 19.62 + aws-c-s3 0.6.4 h77088c0_11 conda-forge 112kB
#7 19.62 + libgoogle-cloud-storage 2.28.0 ha262f82_0 conda-forge 769kB
#7 19.62 + azure-storage-blobs-cpp 12.12.0 hd2e3451_0 conda-forge 523kB
#7 19.62 + aws-crt-cpp 0.28.1 hf262114_0 conda-forge 349kB
#7 19.62 + azure-storage-files-datalake-cpp 12.11.0 h325d260_1 conda-forge 274kB
#7 19.62 + aws-sdk-cpp 1.11.379 h78fd8ce_7 conda-forge 3MB
#7 19.62 + libarrow 17.0.0 h4d600e8_12_cpu conda-forge 9MB
#7 19.62 + libarrow-acero 17.0.0 h5888daf_12_cpu conda-forge 608kB
#7 19.62 + libparquet 17.0.0 h39682fd_12_cpu conda-forge 1MB
#7 19.62 + libarrow-dataset 17.0.0 h5888daf_12_cpu conda-forge 584kB
#7 19.62 + libarrow-substrait 17.0.0 hf54134d_12_cpu conda-forge 551kB
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#7 19.62
#7 19.62 Summary:
#7 19.62
#7 19.62 Install: 437 packages
#7 19.62
#7 19.62 Total download: 598MB
#7 19.62
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#7 45.76 Linking rfc3339-validator-0.1.4-pyhd8ed1ab_0
#7 45.76 Linking python-dateutil-2.9.0-pyhd8ed1ab_0
#7 45.77 Linking h11-0.14.0-pyhd8ed1ab_0
#7 45.78 Linking async-lru-2.0.4-pyhd8ed1ab_0
#7 45.78 Linking typing-extensions-4.12.2-hd8ed1ab_0
#7 45.78 Linking h2-4.1.0-pyhd8ed1ab_0
#7 45.79 Linking anyio-4.4.0-pyhd8ed1ab_0
#7 45.79 Linking accessible-pygments-0.0.5-pyhd8ed1ab_0
#7 45.83 Linking jupyterlab_pygments-0.3.0-pyhd8ed1ab_1
#7 45.83 Linking tqdm-4.66.5-pyhd8ed1ab_0
#7 45.84 Linking bleach-6.1.0-pyhd8ed1ab_0
#7 45.85 Linking autopep8-2.0.4-pyhd8ed1ab_0
#7 45.85 Linking pytest-8.3.2-pyhd8ed1ab_0
#7 45.86 Linking pydocstyle-6.3.0-pyhd8ed1ab_0
#7 45.86 Linking flake8-7.1.1-pyhd8ed1ab_0
#7 45.87 Linking gitpython-3.1.43-pyhd8ed1ab_0
#7 45.87 Linking prompt_toolkit-3.0.47-hd8ed1ab_0
#7 45.87 Linking fqdn-1.5.1-pyhd8ed1ab_0
#7 45.87 Linking markdown-3.6-pyhd8ed1ab_0
#7 45.88 Linking yapf-0.40.1-pyhd8ed1ab_0
#7 45.89 Linking importlib_metadata-8.4.0-hd8ed1ab_0
#7 45.89 Linking rich-13.7.1-pyhd8ed1ab_0
#7 45.89 Linking mdit-py-plugins-0.4.1-pyhd8ed1ab_0
#7 45.90 Linking stack_data-0.6.2-pyhd8ed1ab_0
#7 45.90 Linking arrow-1.3.0-pyhd8ed1ab_0
#7 45.90 Linking pytoolconfig-1.2.5-pyhd8ed1ab_0
#7 45.91 Linking httpcore-1.0.5-pyhd8ed1ab_0
#7 45.91 Linking ipython-8.26.0-pyh707e725_0
#7 45.94 Linking isoduration-20.11.0-pyhd8ed1ab_0
#7 45.94 Linking rope-1.13.0-pyhd8ed1ab_0
#7 45.95 Linking httpx-0.27.2-pyhd8ed1ab_0
#7 45.95 Linking ipywidgets-8.1.5-pyhd8ed1ab_0
#7 45.96 Linking ipylab-1.0.0-pyhd8ed1ab_0
#7 45.96 Linking ruamel.yaml.clib-0.2.8-py312h98912ed_0
#7 45.96 Linking multidict-6.0.5-py312h98912ed_0
#7 45.97 Linking frozenlist-1.4.1-py312h98912ed_0
#7 45.97 Linking menuinst-2.1.2-py312h7900ff3_0
#7 45.97 Linking frozendict-2.4.4-py312h9a8786e_0
#7 45.98 Linking pycosat-0.6.6-py312h98912ed_0
#7 45.98 Linking greenlet-3.0.3-py312h30efb56_0
#7 45.99 Linking tensorboard-data-server-0.7.0-py312h241aef2_1
#7 45.99 Linking wrapt-1.16.0-py312h98912ed_0
#7 45.99 Linking debugpy-1.8.5-py312hca68cad_0
#7 46.07 Linking rpds-py-0.20.0-py312hf008fa9_0
#7 46.08 Linking jsonpointer-3.0.0-py312h7900ff3_0
#7 46.08 Linking psutil-5.9.8-py312h98912ed_0
#7 46.10 Linking pyzmq-26.2.0-py312hbf22597_0
#7 46.11 Linking docutils-0.20.1-py312h7900ff3_3
#7 46.17 Linking markupsafe-2.1.5-py312h98912ed_0
#7 46.18 Linking tornado-6.4.1-py312h9a8786e_0
#7 46.20 Linking pyyaml-6.0.2-py312h41a817b_0
#7 46.21 Linking astroid-3.2.4-py312h7900ff3_0
#7 46.24 Linking ujson-5.10.0-py312h7070661_0
#7 46.24 Linking brotli-python-1.1.0-py312h30efb56_1
#7 46.24 Linking protobuf-4.25.3-py312h72fbbdf_0
#7 46.26 Linking grpcio-1.62.2-py312hb06c811_0
#7 46.27 Linking numpy-1.26.4-py312heda63a1_0
#7 46.35 Linking pillow-10.4.0-py312h287a98d_0
#7 46.37 Linking gmpy2-2.1.5-py312h1d5cde6_1
#7 46.37 Linking kiwisolver-1.4.5-py312h8572e83_1
#7 46.37 Linking libmambapy-1.5.8-py312hd9e9ff6_0
#7 46.37 Linking cffi-1.17.0-py312h1671c18_0
#7 46.38 Linking fonttools-4.53.1-py312h41a817b_0
#7 46.46 Linking jupyter_core-5.7.2-py312h7900ff3_0
#7 46.46 Linking black-24.8.0-py312h7900ff3_0
#7 46.48 Linking optree-0.12.1-py312h3402730_0
#7 46.48 Linking ruamel.yaml-0.18.6-py312h98912ed_0
#7 46.49 Linking yarl-1.9.4-py312h98912ed_0
#7 46.49 Linking sqlalchemy-2.0.32-py312h41a817b_0
#7 46.56 Linking mypy-1.11.2-py312h66e93f0_0
#7 46.67 Linking contourpy-1.2.1-py312h8572e83_0
#7 46.68 Linking cftime-1.6.4-py312h085067d_0
#7 46.68 Linking ml_dtypes-0.4.0-py312h1d6d2e6_1
#7 46.68 Linking h5py-3.11.0-nompi_py312hb7ab980_102
#7 46.69 Linking rapidfuzz-3.9.6-py312hca68cad_0
#7 46.70 Linking scipy-1.14.1-py312h7d485d2_0
#7 46.86 Linking pyarrow-core-17.0.0-py312h9cafe31_1_cpu
#7 46.98 Linking pandas-2.2.2-py312h1d6d2e6_1
#7 47.32 Linking zstandard-0.23.0-py312h3483029_0
#7 47.33 Linking argon2-cffi-bindings-21.2.0-py312h98912ed_4
#7 47.33 Linking matplotlib-base-3.9.2-py312h854627b_0
#7 47.40 Linking netcdf4-1.7.1-nompi_py312h1ef7fb6_101
#7 47.41 Linking scikit-learn-1.5.1-py312h775a589_0
#7 47.52 Linking pyarrow-17.0.0-py312h9cebb41_1
#7 47.52 Linking aiosignal-1.3.1-pyhd8ed1ab_0
#7 47.52 Linking referencing-0.35.1-pyhd8ed1ab_0
#7 47.52 Linking jsonpatch-1.33-pyhd8ed1ab_0
#7 47.53 Linking werkzeug-3.0.4-pyhd8ed1ab_0
#7 47.54 Linking mako-1.3.5-pyhd8ed1ab_0
#7 47.54 Linking jinja2-3.1.4-pyhd8ed1ab_0
#7 47.55 Linking terminado-0.18.1-pyh0d859eb_0
#7 47.55 Linking pybtex-0.24.0-pyhd8ed1ab_2
#7 47.56 Linking pylint-3.2.6-pyhd8ed1ab_0
#7 47.58 Linking python-lsp-jsonrpc-1.1.2-pyhd8ed1ab_0
#7 47.59 Linking opt_einsum-3.3.0-pyhc1e730c_2
#7 47.59 Linking patsy-0.5.6-pyhd8ed1ab_0
#7 47.60 Linking ipytone-0.5.1-pyhd8ed1ab_0
#7 47.61 Linking sympy-1.13.2-pypyh2585a3b_103
#7 47.75 Linking jupyter_client-8.6.2-pyhd8ed1ab_0
#7 47.77 Linking keras-3.5.0-pyhd8ed1ab_1
#7 47.85 Linking xarray-2024.7.0-pyhd8ed1ab_0
#7 47.87 Linking bqplot-0.12.43-pyhd8ed1ab_0
#7 47.88 Linking conda-package-streaming-0.10.0-pyhd8ed1ab_0
#7 47.88 Linking urllib3-2.2.2-pyhd8ed1ab_1
#7 47.89 Linking argon2-cffi-23.1.0-pyhd8ed1ab_0
#7 47.89 Linking seaborn-base-0.13.2-pyhd8ed1ab_2
#7 47.90 Linking ipympl-0.9.4-pyhd8ed1ab_0
#7 47.90 warning libmamba [ipympl-0.9.4-pyhd8ed1ab_0] The following files were already present in the environment:
#7 47.90 - etc/jupyter/labconfig/page_config.json
#7 47.90 Linking jsonschema-specifications-2023.12.1-pyhd8ed1ab_0
#7 47.91 Linking tensorboard-2.17.1-pyhd8ed1ab_0
#7 47.94 Linking alembic-1.13.2-pyhd8ed1ab_0
#7 47.95 Linking branca-0.7.2-pyhd8ed1ab_0
#7 47.95 Linking jupyter_server_terminals-0.5.3-pyhd8ed1ab_0
#7 47.96 Linking python-lsp-server-base-1.12.0-pyhd8ed1ab_0
#7 47.96 Linking ipykernel-6.29.5-pyh3099207_0
#7 47.97 Linking ipydatagrid-1.3.2-pyhd8ed1ab_0
#7 47.98 warning libmamba [ipydatagrid-1.3.2-pyhd8ed1ab_0] The following files were already present in the environment:
#7 47.98 - etc/jupyter/labconfig/page_config.json
#7 47.98 Linking conda-package-handling-2.3.0-pyh7900ff3_0
#7 47.98 Linking requests-2.32.3-pyhd8ed1ab_0
#7 47.99 Linking jsonschema-4.23.0-pyhd8ed1ab_0
#7 47.99 Linking ipyleaflet-0.19.2-pyhd8ed1ab_0
#7 47.99 Linking python-lsp-server-1.12.0-pyhd8ed1ab_0
#7 47.99 Linking jupyter_console-6.6.3-pyhd8ed1ab_0
#7 48.00 Linking sphinx-7.4.7-pyhd8ed1ab_0
#7 48.07 Linking sphinxcontrib-applehelp-2.0.0-pyhd8ed1ab_0
#7 48.08 Linking pooch-1.8.2-pyhd8ed1ab_0
#7 48.09 Linking folium-0.17.0-pyhd8ed1ab_0
#7 48.09 Linking jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0
#7 48.10 Linking nbformat-5.10.4-pyhd8ed1ab_0
#7 48.10 Linking sphinxcontrib-devhelp-2.0.0-pyhd8ed1ab_0
#7 48.12 Linking jupyter_events-0.10.0-pyhd8ed1ab_0
#7 48.12 Linking nbclient-0.10.0-pyhd8ed1ab_0
#7 48.12 Linking jupytext-1.16.4-pyh80e38bb_0
#7 48.13 warning libmamba [jupytext-1.16.4-pyh80e38bb_0] The following files were already present in the environment:
#7 48.13 - etc/jupyter/labconfig/page_config.json
#7 48.13 Linking sphinxcontrib-htmlhelp-2.1.0-pyhd8ed1ab_0
#7 48.15 Linking jupyter-cache-1.0.0-pyhd8ed1ab_0
#7 48.15 Linking nbconvert-core-7.16.4-pyhd8ed1ab_1
#7 48.16 Linking sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_0
#7 48.18 Linking jupyter_server-2.14.2-pyhd8ed1ab_0
#7 48.20 Linking nbconvert-pandoc-7.16.4-hd8ed1ab_1
#7 48.20 Linking sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_0
#7 48.21 Linking jupyter-server-mathjax-0.2.6-pyh5bfe37b_1
#7 48.29 Linking jupyter-lsp-2.2.5-pyhd8ed1ab_0
#7 48.29 Linking notebook-shim-0.2.4-pyhd8ed1ab_0
#7 48.30 Linking jupyterlab_server-2.27.3-pyhd8ed1ab_0
#7 48.30 Linking jupyterlab_code_formatter-3.0.2-pyhd8ed1ab_0
#7 48.30 Linking jupyter-resource-usage-1.1.0-pyhd8ed1ab_0
#7 48.31 Linking jupyterlab-myst-2.4.2-pyhd8ed1ab_0
#7 48.33 Linking nbconvert-7.16.4-hd8ed1ab_1
#7 48.33 Linking pydata-sphinx-theme-0.15.4-pyhd8ed1ab_0
#7 48.34 Linking sphinx-design-0.6.1-pyhd8ed1ab_1
#7 48.34 Linking sphinx-togglebutton-0.3.2-pyhd8ed1ab_0
#7 48.34 Linking sphinx-copybutton-0.5.2-pyhd8ed1ab_0
#7 48.35 Linking myst-parser-2.0.0-pyhd8ed1ab_0
#7 48.35 Linking sphinx-thebe-0.3.1-pyhd8ed1ab_0
#7 48.35 Linking sphinx-jupyterbook-latex-1.0.0-pyhd8ed1ab_0
#7 48.35 Linking sphinx-external-toc-1.0.1-pyhd8ed1ab_0
#7 48.36 Linking sphinx-multitoc-numbering-0.1.3-pyhd8ed1ab_0
#7 48.36 Linking sphinx-comments-0.0.3-pyh9f0ad1d_0
#7 48.36 Linking nbdime-4.0.1-pyhd8ed1ab_0
#7 48.40 Linking jupyterlab-4.2.5-pyhd8ed1ab_0
#7 48.46 Linking sphinx-book-theme-1.1.3-pyhd8ed1ab_0
#7 48.48 Linking myst-nb-1.1.1-pyhd8ed1ab_0
#7 48.49 Linking jupyterlab-git-0.50.1-pyhd8ed1ab_1
#7 48.55
#7 48.55 Linking notebook-7.2.2-pyhd8ed1ab_0
#7 48.58 Linking jupyterlab-fonts-3.0.0-pyhd8ed1ab_0
#7 48.59 Linking nbgitpuller-1.2.1-pyhd8ed1ab_0
#7 48.59 Linking nbgrader-0.9.3-pyhd8ed1ab_0
#7 48.63 Linking jupyterlab-deck-0.2.0-pyhd8ed1ab_0
#7 48.63 Linking aiohttp-3.10.5-py312h41a817b_0
#7 48.64 Linking pybtex-docutils-1.0.3-py312h7900ff3_1
#7 48.65 Linking statsmodels-0.14.2-py312h085067d_0
#7 48.87 Linking conda-24.7.1-py312h7900ff3_0
#7 48.92 Linking tensorflow-base-2.17.0-cpu_py312h823dedb_1
#7 52.22 Linking tensorflow-estimator-2.17.0-cpu_py312h4f468f2_1
#7 52.24 Linking tensorflow-2.17.0-cpu_py312h69ecde4_1
#7 52.24 Linking tensorflow-cpu-2.17.0-cpu_py312h718b53a_1
#7 52.24 Linking jupyter-server-proxy-4.3.0-pyhd8ed1ab_0
#7 52.25 Linking sphinxcontrib-bibtex-2.6.2-pyhd8ed1ab_0
#7 52.25 Linking seaborn-0.13.2-hd8ed1ab_2
#7 52.25 Linking conda-libmamba-solver-24.7.0-pyhd8ed1ab_0
#7 52.26 Linking jupyter_app_launcher-0.2.1-pyhd8ed1ab_0
#7 52.26 Linking jupyter-book-1.0.2-pyhd8ed1ab_0
#7 52.26 Linking mamba-1.5.8-py312h9460a1c_0
#7 57.70
#7 57.70 Transaction finished
#7 57.70
#7 57.70 To activate this environment, use:
#7 57.70
#7 57.70 micromamba activate base
#7 57.70
#7 57.70 Or to execute a single command in this environment, use:
#7 57.70
#7 57.70 micromamba run -n base mycommand
#7 57.70
#7 57.71
#7 57.71 Installing pip packages: delpywidget, git+https://gitlab.dsi.universite-paris-saclay.fr/nicolas.thiery/ValuePlayerWidget.git, git+https://gitlab.dsi.universite-paris-saclay.fr/nicolas.thiery/GraphAlgorithmPlayer.git, git+https://gitlab.dsi.universite-paris-saclay.fr/nicolas.thiery/Laby.git, git+https://gitlab.dsi.universite-paris-saclay.fr/jupyter/jupylates, git+https://gitlab.com/travo-cr/travo.git@student-dashboard-actions, git+https://gitlab.dsi.universite-paris-saclay.fr/L1InfoInitiationScienceDonnees/Assets.git, git+https://gitlab.dsi.universite-paris-saclay.fr/MethNum/scripts.git
#7 58.41 Collecting git+https://gitlab.dsi.universite-paris-saclay.fr/nicolas.thiery/ValuePlayerWidget.git (from -r /tmp/binder/mambaflnMnRrXgrB (line 2))
#7 58.41 Cloning https://gitlab.dsi.universite-paris-saclay.fr/nicolas.thiery/ValuePlayerWidget.git to /tmp/pip-req-build-248h0mv0
#7 58.42 Running command git clone --filter=blob:none --quiet https://gitlab.dsi.universite-paris-saclay.fr/nicolas.thiery/ValuePlayerWidget.git /tmp/pip-req-build-248h0mv0
#7 187.9 fatal: unable to access 'https://gitlab.dsi.universite-paris-saclay.fr/nicolas.thiery/ValuePlayerWidget.git/': Failed to connect to gitlab.dsi.universite-paris-saclay.fr port 443 after 129464 ms: Could not connect to server
#7 187.9 error: subprocess-exited-with-error
#7 187.9
#7 187.9 × git clone --filter=blob:none --quiet https://gitlab.dsi.universite-paris-saclay.fr/nicolas.thiery/ValuePlayerWidget.git /tmp/pip-req-build-248h0mv0 did not run successfully.
#7 187.9 │ exit code: 128
#7 187.9 ╰─> See above for output.
#7 187.9
#7 187.9 note: This error originates from a subprocess, and is likely not a problem with pip.
#7 188.0 error: subprocess-exited-with-error
#7 188.0
#7 188.0 × git clone --filter=blob:none --quiet https://gitlab.dsi.universite-paris-saclay.fr/nicolas.thiery/ValuePlayerWidget.git /tmp/pip-req-build-248h0mv0 did not run successfully.
#7 188.0 │ exit code: 128
#7 188.0 ╰─> See above for output.
#7 188.0
#7 188.0 note: This error originates from a subprocess, and is likely not a problem with pip.
#7 188.3 critical libmamba pip failed to install packages
#7 ERROR: process "/usr/local/bin/_dockerfile_shell.sh cd /tmp/binder && micromamba install -y -n base -f environment.yml && micromamba clean --all --yes" did not complete successfully: exit code: 1
------
> [3/5] RUN cd /tmp/binder && micromamba install -y -n base -f environment.yml && micromamba clean --all --yes:
187.9
187.9 note: This error originates from a subprocess, and is likely not a problem with pip.
188.0 error: subprocess-exited-with-error
188.0
188.0 × git clone --filter=blob:none --quiet https://gitlab.dsi.universite-paris-saclay.fr/nicolas.thiery/ValuePlayerWidget.git /tmp/pip-req-build-248h0mv0 did not run successfully.
188.0 │ exit code: 128
188.0 ╰─> See above for output.
188.0
188.0 note: This error originates from a subprocess, and is likely not a problem with pip.
188.3 critical libmamba pip failed to install packages
------
[33m1 warning found (use --debug to expand):
[0m - LegacyKeyValueFormat: "ENV key=value" should be used instead of legacy "ENV key value" format (line 20)
Dockerfile-CI:6
--------------------
5 | # Install conda packages
6 | >>> RUN cd /tmp/binder && \
7 | >>> micromamba install -y -n base -f environment.yml && \
8 | >>> micromamba clean --all --yes
9 |
--------------------
ERROR: failed to solve: process "/usr/local/bin/_dockerfile_shell.sh cd /tmp/binder && micromamba install -y -n base -f environment.yml && micromamba clean --all --yes" did not complete successfully: exit code: 1
section_end:1724909587:step_script
[0Ksection_start:1724909587:after_script
[0K[0K[36;1mRunning after_script[0;m[0;m
[32;1mRunning after script...[0;m
[32;1m$ podman logout "${CI_REGISTRY}"[0;m
bash: line 148: podman: command not found
section_end:1724909587:after_script
[0K[0;33mWARNING: after_script failed, but job will continue unaffected: exit status 1[0;m
section_start:1724909587:cleanup_file_variables
[0K[0K[36;1mCleaning up project directory and file based variables[0;m[0;m
section_end:1724909587:cleanup_file_variables
[0K[31;1mERROR: Job failed: exit status 1
[0;m