Wave container build completion

Container build completed successfully!

Summary

Build ID 04f6c0370c0226c5_1
User seqera-hub
Container image community.wave.seqera.io/library/cutadapt_muscle_vsearch_wget_pruned:04f6c0370c0226c5
Container digest sha256:eb09aef390d229f276ad4bcd00f7932d40e70db082ffd29ec9550c234af6fbc6
Image format Docker
Platform linux/amd64
Build time 2024-09-05 13:13 (GMT)
Duration 2:40
Exit status 0
Security scan 29d28ace12a5

Container file

FROM mambaorg/micromamba:1.5.8-lunar
COPY --chown=$MAMBA_USER:$MAMBA_USER conda.yml /tmp/conda.yml
RUN micromamba install -y -n base -f /tmp/conda.yml \
    && micromamba install -y -n base conda-forge::procps-ng \
    && micromamba clean -a -y
USER root
ENV PATH="$MAMBA_ROOT_PREFIX/bin:$PATH"

Conda file

channels:
- conda-forge
- bioconda
dependencies:
- bioconda::cutadapt=4.9
- bioconda::muscle=3.8.31
- bioconda::vsearch=2.28.1
- conda-forge::wget=1.20.3
- pip
- pip:
  - crabs==0.2.0

Build logs

#1 [internal] load build definition from Containerfile
#1 transferring dockerfile: 337B 0.0s done
#1 DONE 0.1s

#2 [internal] load metadata for docker.io/mambaorg/micromamba:1.5.8-lunar
#2 DONE 1.2s

#3 [internal] load .dockerignore
#3 transferring context: 2B 0.0s done
#3 DONE 0.0s

#4 [internal] load build context
#4 DONE 0.0s

#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.8-lunar@sha256:fafa9863f36c58a6d69033a1c7b8326d727305ede7c7c9cc867fe2010531f5ae
#5 resolve docker.io/mambaorg/micromamba:1.5.8-lunar@sha256:fafa9863f36c58a6d69033a1c7b8326d727305ede7c7c9cc867fe2010531f5ae 0.0s done
#5 DONE 0.0s

#6 [auth] sharing credentials for 195996028523.dkr.ecr.eu-west-1.amazonaws.com
#6 DONE 0.0s

#7 importing cache manifest from 195996028523.dkr.ecr.eu-west-1.amazonaws.com/wave/build/cache:04f6c0370c0226c5
#7 ERROR: failed to configure registry cache importer: 195996028523.dkr.ecr.eu-west-1.amazonaws.com/wave/build/cache:04f6c0370c0226c5: not found

#4 [internal] load build context
#4 transferring context: 222B done
#4 DONE 0.1s

#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.8-lunar@sha256:fafa9863f36c58a6d69033a1c7b8326d727305ede7c7c9cc867fe2010531f5ae
#5 DONE 0.3s

#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.8-lunar@sha256:fafa9863f36c58a6d69033a1c7b8326d727305ede7c7c9cc867fe2010531f5ae
#5 sha256:6f63df1cb8dd88eaeb90664607de9e89b14dc80edbc0036c04766e0354d1d7a4 346B / 346B 0.1s done
#5 sha256:ba94160d36b7deda51b8adb4b3454e09b69351e492c4ba5fc9e013141b791c20 649B / 649B 0.2s done
#5 sha256:f628b9cff8d1fca195e3e0e46a62f6cc2649e3ab5f52ad0b584ff1c27a00ee49 0B / 685B 0.2s
#5 sha256:c864db06f68bde3e935ec5d482c1c63575cde16d0492a2f0a4d66ef76d1fbce5 0B / 217B 0.2s
#5 sha256:77c7a930b7cc5b2ef4bc0b220ae5f667fb72367378062f5c3413f351d8a36537 0B / 4.08kB 0.2s
#5 sha256:f628b9cff8d1fca195e3e0e46a62f6cc2649e3ab5f52ad0b584ff1c27a00ee49 685B / 685B 0.3s done
#5 sha256:c864db06f68bde3e935ec5d482c1c63575cde16d0492a2f0a4d66ef76d1fbce5 217B / 217B 0.3s done
#5 sha256:77c7a930b7cc5b2ef4bc0b220ae5f667fb72367378062f5c3413f351d8a36537 4.08kB / 4.08kB 0.2s done
#5 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 32B / 32B 0.1s done
#5 sha256:5ac55ff04773eac7cebaba969418b043fb8730cdf0c06a304947e2829843de29 284B / 284B 0.1s done
#5 sha256:7834e8feb90464229ef06c52cb68bce75046c5e9cc4ff5bb8d378a37babaa67c 523B / 523B 0.1s done
#5 sha256:7716ca30060043d1c1ba35c09e8eb2fda19788fc0d5ec491d85e866306207cc9 0B / 6.06MB 0.1s
#5 sha256:2ec3f7ad9b3ca7370ae62c6bdb36e3575239b5b0942163d36814c87efb3ff90d 119.85kB / 119.85kB 0.1s done
#5 sha256:6360b371721185fefbbad6763ab745900f1b2f7714570234473232dd575fc07f 5.47MB / 26.89MB 0.2s
#5 sha256:7716ca30060043d1c1ba35c09e8eb2fda19788fc0d5ec491d85e866306207cc9 6.06MB / 6.06MB 0.3s done
#5 sha256:6360b371721185fefbbad6763ab745900f1b2f7714570234473232dd575fc07f 20.97MB / 26.89MB 0.3s
#5 sha256:6360b371721185fefbbad6763ab745900f1b2f7714570234473232dd575fc07f 26.89MB / 26.89MB 0.5s
#5 sha256:6360b371721185fefbbad6763ab745900f1b2f7714570234473232dd575fc07f 26.89MB / 26.89MB 0.5s done
#5 extracting sha256:6360b371721185fefbbad6763ab745900f1b2f7714570234473232dd575fc07f
#5 extracting sha256:6360b371721185fefbbad6763ab745900f1b2f7714570234473232dd575fc07f 1.4s done
#5 extracting sha256:2ec3f7ad9b3ca7370ae62c6bdb36e3575239b5b0942163d36814c87efb3ff90d
#5 extracting sha256:2ec3f7ad9b3ca7370ae62c6bdb36e3575239b5b0942163d36814c87efb3ff90d 0.3s done
#5 extracting sha256:7716ca30060043d1c1ba35c09e8eb2fda19788fc0d5ec491d85e866306207cc9
#5 extracting sha256:7716ca30060043d1c1ba35c09e8eb2fda19788fc0d5ec491d85e866306207cc9 0.5s done
#5 DONE 3.5s

#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.8-lunar@sha256:fafa9863f36c58a6d69033a1c7b8326d727305ede7c7c9cc867fe2010531f5ae
#5 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1
#5 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 0.4s done
#5 DONE 3.9s

#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.8-lunar@sha256:fafa9863f36c58a6d69033a1c7b8326d727305ede7c7c9cc867fe2010531f5ae
#5 extracting sha256:7834e8feb90464229ef06c52cb68bce75046c5e9cc4ff5bb8d378a37babaa67c
#5 extracting sha256:7834e8feb90464229ef06c52cb68bce75046c5e9cc4ff5bb8d378a37babaa67c 0.4s done
#5 DONE 4.3s

#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.8-lunar@sha256:fafa9863f36c58a6d69033a1c7b8326d727305ede7c7c9cc867fe2010531f5ae
#5 extracting sha256:5ac55ff04773eac7cebaba969418b043fb8730cdf0c06a304947e2829843de29
#5 extracting sha256:5ac55ff04773eac7cebaba969418b043fb8730cdf0c06a304947e2829843de29 0.5s done
#5 DONE 4.7s

#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.8-lunar@sha256:fafa9863f36c58a6d69033a1c7b8326d727305ede7c7c9cc867fe2010531f5ae
#5 extracting sha256:77c7a930b7cc5b2ef4bc0b220ae5f667fb72367378062f5c3413f351d8a36537
#5 extracting sha256:77c7a930b7cc5b2ef4bc0b220ae5f667fb72367378062f5c3413f351d8a36537 0.3s done
#5 DONE 5.1s

#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.8-lunar@sha256:fafa9863f36c58a6d69033a1c7b8326d727305ede7c7c9cc867fe2010531f5ae
#5 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 0.3s done
#5 DONE 5.4s

#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.8-lunar@sha256:fafa9863f36c58a6d69033a1c7b8326d727305ede7c7c9cc867fe2010531f5ae
#5 extracting sha256:c864db06f68bde3e935ec5d482c1c63575cde16d0492a2f0a4d66ef76d1fbce5
#5 extracting sha256:c864db06f68bde3e935ec5d482c1c63575cde16d0492a2f0a4d66ef76d1fbce5 0.4s done
#5 extracting sha256:f628b9cff8d1fca195e3e0e46a62f6cc2649e3ab5f52ad0b584ff1c27a00ee49
#5 extracting sha256:f628b9cff8d1fca195e3e0e46a62f6cc2649e3ab5f52ad0b584ff1c27a00ee49 0.3s done
#5 DONE 6.1s

#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.8-lunar@sha256:fafa9863f36c58a6d69033a1c7b8326d727305ede7c7c9cc867fe2010531f5ae
#5 extracting sha256:ba94160d36b7deda51b8adb4b3454e09b69351e492c4ba5fc9e013141b791c20
#5 extracting sha256:ba94160d36b7deda51b8adb4b3454e09b69351e492c4ba5fc9e013141b791c20 0.3s done
#5 DONE 6.5s

#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.8-lunar@sha256:fafa9863f36c58a6d69033a1c7b8326d727305ede7c7c9cc867fe2010531f5ae
#5 extracting sha256:6f63df1cb8dd88eaeb90664607de9e89b14dc80edbc0036c04766e0354d1d7a4
#5 extracting sha256:6f63df1cb8dd88eaeb90664607de9e89b14dc80edbc0036c04766e0354d1d7a4 0.4s done
#5 DONE 6.9s

#8 [2/3] COPY --chown=mambauser:mambauser conda.yml /tmp/conda.yml
#8 DONE 0.3s

#9 [3/3] RUN micromamba install -y -n base -f /tmp/conda.yml     && micromamba install -y -n base conda-forge::procps-ng     && micromamba clean -a -y
#9 25.98 
#9 25.98 Transaction
#9 25.98 
#9 25.98   Prefix: /opt/conda
#9 25.98 
#9 25.98   Updating specs:
#9 25.98 
#9 25.98    - bioconda::cutadapt=4.9
#9 25.98    - bioconda::muscle=3.8.31
#9 25.98    - bioconda::vsearch=2.28.1
#9 25.98    - conda-forge::wget=1.20.3
#9 25.98    - pip
#9 25.98 
#9 25.98 
#9 25.98   Package                 Version  Build               Channel          Size
#9 25.98 ──────────────────────────────────────────────────────────────────────────────
#9 25.98   Install:
#9 25.98 ──────────────────────────────────────────────────────────────────────────────
#9 25.98 
#9 25.98   + muscle                 3.8.31  0                   bioconda        537kB
#9 25.98   + _libgcc_mutex             0.1  conda_forge         conda-forge       3kB
#9 25.98   + python_abi               3.12  5_cp312             conda-forge       6kB
#9 25.98   + ld_impl_linux-64         2.40  hf3520f5_7          conda-forge     708kB
#9 25.98   + ca-certificates     2024.8.30  hbcca054_0          conda-forge     159kB
#9 25.98   + libgomp                14.1.0  h77fa898_1          conda-forge     460kB
#9 25.98   + _openmp_mutex             4.5  2_gnu               conda-forge      24kB
#9 25.98   + libgcc                 14.1.0  h77fa898_1          conda-forge     846kB
#9 25.98   + openssl                 3.3.2  hb9d3cd8_0          conda-forge       3MB
#9 25.98   + libstdcxx              14.1.0  hc0a3c3a_1          conda-forge       4MB
#9 25.98   + libgcc-ng              14.1.0  h69a702a_1          conda-forge      52kB
#9 25.98   + libstdcxx-ng           14.1.0  h4852527_1          conda-forge      52kB
#9 25.98   + libunistring           0.9.10  h7f98852_0          conda-forge       1MB
#9 25.98   + libgettextpo           0.22.5  he02047a_3          conda-forge     171kB
#9 25.98   + gettext-tools          0.22.5  he02047a_3          conda-forge       3MB
#9 25.98   + libxcrypt              4.4.36  hd590300_1          conda-forge     100kB
#9 25.98   + libffi                  3.4.2  h7f98852_5          conda-forge      58kB
#9 25.98   + isa-l                  2.31.0  h4bc722e_2          conda-forge     159kB
#9 25.98   + ncurses                   6.5  he02047a_1          conda-forge     889kB
#9 25.98   + libuuid                2.38.1  h0b41bf4_0          conda-forge      34kB
#9 25.98   + libnsl                  2.0.1  hd590300_0          conda-forge      33kB
#9 25.98   + libexpat                2.6.2  h59595ed_0          conda-forge      74kB
#9 25.98   + xz                      5.2.6  h166bdaf_0          conda-forge     418kB
#9 25.98   + libzlib                1.2.13  h4ab18f5_6          conda-forge      62kB
#9 25.98   + bzip2                   1.0.8  h4bc722e_7          conda-forge     253kB
#9 25.98   + libasprintf            0.22.5  he8f35ee_3          conda-forge      43kB
#9 25.98   + zlib-ng                 2.2.1  he02047a_0          conda-forge     105kB
#9 25.98   + libgettextpo-devel     0.22.5  he02047a_3          conda-forge      37kB
#9 25.98   + readline                  8.2  h8228510_1          conda-forge     281kB
#9 25.98   + tk                     8.6.13  noxft_h4845f30_101  conda-forge       3MB
#9 25.98   + libsqlite              3.46.0  hde9e2c9_0          conda-forge     865kB
#9 25.98   + zstd                    1.5.6  ha6fb4c9_0          conda-forge     555kB
#9 25.98   + pigz                      2.8  h2797004_0          conda-forge      72kB
#9 25.98   + zlib                   1.2.13  h4ab18f5_6          conda-forge      93kB
#9 25.98   + pbzip2                 1.1.13  h1fcc475_2          conda-forge      42kB
#9 25.98   + libasprintf-devel      0.22.5  he8f35ee_3          conda-forge      34kB
#9 25.98   + gettext                0.22.5  he02047a_3          conda-forge     479kB
#9 25.98   + libidn2                 2.3.7  hd590300_0          conda-forge     127kB
#9 25.98   + wget                   1.20.3  ha35d2d1_1          conda-forge     835kB
#9 25.98   + tzdata                  2024a  h8827d51_1          conda-forge     124kB
#9 25.98   + vsearch                2.28.1  h6a68c12_1          bioconda        249kB
#9 25.98   + python                 3.12.3  hab00c5b_0_cpython  conda-forge      32MB
#9 25.98   + wheel                  0.44.0  pyhd8ed1ab_0        conda-forge      59kB
#9 25.98   + setuptools             73.0.1  pyhd8ed1ab_0        conda-forge       1MB
#9 25.98   + pip                      24.2  pyh8b19718_1        conda-forge       1MB
#9 25.98   + pycparser                2.22  pyhd8ed1ab_0        conda-forge     105kB
#9 25.98   + python-zlib-ng          0.5.0  py312hbb25f6d_0     conda-forge      57kB
#9 25.98   + python-isal             1.7.0  py312h41a817b_0     conda-forge      66kB
#9 25.98   + cffi                   1.17.0  py312h06ac9bb_1     conda-forge     294kB
#9 25.98   + zstandard              0.23.0  py312hef9b889_1     conda-forge     420kB
#9 25.98   + xopen                   2.0.2  pyh707e725_1        conda-forge      22kB
#9 25.98   + dnaio                   1.2.1  py312hf67a6ed_2     bioconda        153kB
#9 25.98   + cutadapt                  4.9  py312hf67a6ed_1     bioconda        343kB
#9 25.98 
#9 25.98   Summary:
#9 25.98 
#9 25.98   Install: 53 packages
#9 25.98 
#9 25.98   Total download: 60MB
#9 25.98 
#9 25.98 ──────────────────────────────────────────────────────────────────────────────
#9 25.98 
#9 25.98 
#9 25.98 
#9 25.98 Transaction starting
#9 34.93 Linking muscle-3.8.31-0
#9 34.93 Linking _libgcc_mutex-0.1-conda_forge
#9 34.93 Linking python_abi-3.12-5_cp312
#9 34.93 Linking ld_impl_linux-64-2.40-hf3520f5_7
#9 34.94 Linking ca-certificates-2024.8.30-hbcca054_0
#9 34.94 Linking libgomp-14.1.0-h77fa898_1
#9 34.94 Linking _openmp_mutex-4.5-2_gnu
#9 34.94 Linking libgcc-14.1.0-h77fa898_1
#9 34.94 Linking openssl-3.3.2-hb9d3cd8_0
#9 34.99 Linking libstdcxx-14.1.0-hc0a3c3a_1
#9 34.99 Linking libgcc-ng-14.1.0-h69a702a_1
#9 34.99 Linking libstdcxx-ng-14.1.0-h4852527_1
#9 34.99 Linking libunistring-0.9.10-h7f98852_0
#9 35.01 Linking libgettextpo-0.22.5-he02047a_3
#9 35.01 Linking gettext-tools-0.22.5-he02047a_3
#9 35.05 Linking libxcrypt-4.4.36-hd590300_1
#9 35.05 Linking libffi-3.4.2-h7f98852_5
#9 35.05 Linking isa-l-2.31.0-h4bc722e_2
#9 35.05 Linking ncurses-6.5-he02047a_1
#9 37.71 Linking libuuid-2.38.1-h0b41bf4_0
#9 37.71 Linking libnsl-2.0.1-hd590300_0
#9 37.72 Linking libexpat-2.6.2-h59595ed_0
#9 37.72 Linking xz-5.2.6-h166bdaf_0
#9 37.74 Linking libzlib-1.2.13-h4ab18f5_6
#9 37.74 Linking bzip2-1.0.8-h4bc722e_7
#9 37.75 Linking libasprintf-0.22.5-he8f35ee_3
#9 37.75 Linking zlib-ng-2.2.1-he02047a_0
#9 37.75 Linking libgettextpo-devel-0.22.5-he02047a_3
#9 37.76 Linking readline-8.2-h8228510_1
#9 37.76 Linking tk-8.6.13-noxft_h4845f30_101
#9 37.85 Linking libsqlite-3.46.0-hde9e2c9_0
#9 37.85 Linking zstd-1.5.6-ha6fb4c9_0
#9 37.85 Linking pigz-2.8-h2797004_0
#9 37.86 Linking zlib-1.2.13-h4ab18f5_6
#9 37.86 Linking pbzip2-1.1.13-h1fcc475_2
#9 37.86 Linking libasprintf-devel-0.22.5-he8f35ee_3
#9 37.86 Linking gettext-0.22.5-he02047a_3
#9 38.15 Linking libidn2-2.3.7-hd590300_0
#9 38.15 Linking wget-1.20.3-ha35d2d1_1
#9 38.16 Linking tzdata-2024a-h8827d51_1
#9 38.24 Linking vsearch-2.28.1-h6a68c12_1
#9 38.24 Linking python-3.12.3-hab00c5b_0_cpython
#9 38.72 Linking wheel-0.44.0-pyhd8ed1ab_0
#9 39.53 Linking setuptools-73.0.1-pyhd8ed1ab_0
#9 39.59 Linking pip-24.2-pyh8b19718_1
#9 39.64 Linking pycparser-2.22-pyhd8ed1ab_0
#9 39.66 Linking python-zlib-ng-0.5.0-py312hbb25f6d_0
#9 39.66 Linking python-isal-1.7.0-py312h41a817b_0
#9 39.66 Linking cffi-1.17.0-py312h06ac9bb_1
#9 39.67 Linking zstandard-0.23.0-py312hef9b889_1
#9 39.67 Linking xopen-2.0.2-pyh707e725_1
#9 39.67 Linking dnaio-1.2.1-py312hf67a6ed_2
#9 39.67 Linking cutadapt-4.9-py312hf67a6ed_1
#9 40.39 
#9 40.39 Transaction finished
#9 40.39 
#9 40.39 To activate this environment, use:
#9 40.39 
#9 40.39     micromamba activate base
#9 40.39 
#9 40.39 Or to execute a single command in this environment, use:
#9 40.39 
#9 40.39     micromamba run -n base mycommand
#9 40.39 
#9 40.39 
#9 40.39 Installing pip packages: crabs==0.2.0
#9 42.02 Collecting crabs==0.2.0 (from -r /tmp/mambafSMbiItIvJ2 (line 1))
#9 42.05   Downloading crabs-0.2.0-py3-none-any.whl.metadata (421 bytes)
#9 42.13 Collecting biopython>=1.81 (from crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#9 42.14   Downloading biopython-1.84-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (12 kB)
#9 42.31 Collecting tqdm (from crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#9 42.31   Downloading tqdm-4.66.5-py3-none-any.whl.metadata (57 kB)
#9 42.58 Collecting numpy (from crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#9 42.59   Downloading numpy-2.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)
#9 42.85 Collecting pandas>=0.23.4 (from crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#9 42.86   Downloading pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
#9 43.31 Collecting matplotlib (from crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#9 43.33   Downloading matplotlib-3.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)
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#9 43.71 Collecting contourpy>=1.0.1 (from matplotlib->crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
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#9 43.77   Downloading cycler-0.12.1-py3-none-any.whl.metadata (3.8 kB)
#9 44.05 Collecting fonttools>=4.22.0 (from matplotlib->crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
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#9 44.20 Collecting kiwisolver>=1.3.1 (from matplotlib->crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#9 44.20   Downloading kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.3 kB)
#9 44.27 Collecting packaging>=20.0 (from matplotlib->crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#9 44.27   Downloading packaging-24.1-py3-none-any.whl.metadata (3.2 kB)
#9 44.76 Collecting pillow>=8 (from matplotlib->crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
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#9 44.87 Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas>=0.23.4->crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
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#9 46.04 Installing collected packages: pytz, tzdata, tqdm, six, pyparsing, pillow, packaging, numpy, kiwisolver, fonttools, cycler, python-dateutil, contourpy, biopython, pandas, matplotlib, crabs
#9 68.07 Successfully installed biopython-1.84 contourpy-1.3.0 crabs-0.2.0 cycler-0.12.1 fonttools-4.53.1 kiwisolver-1.4.7 matplotlib-3.9.2 numpy-2.1.1 packaging-24.1 pandas-2.2.2 pillow-10.4.0 pyparsing-3.1.4 python-dateutil-2.9.0.post0 pytz-2024.1 six-1.16.0 tqdm-4.66.5 tzdata-2024.1
#9 68.87 conda-forge/linux-64                                        Using cache
#9 68.87 conda-forge/noarch                                          Using cache
#9 73.02 
#9 73.02 Pinned packages:
#9 73.02   - python 3.12.*
#9 73.02 
#9 73.34 
#9 73.34 Transaction
#9 73.34 
#9 73.34   Prefix: /opt/conda
#9 73.34 
#9 73.34   Updating specs:
#9 73.34 
#9 73.34    - conda-forge::procps-ng
#9 73.34 
#9 73.34 
#9 73.34   Package      Version  Build       Channel          Size
#9 73.34 ───────────────────────────────────────────────────────────
#9 73.34   Install:
#9 73.34 ───────────────────────────────────────────────────────────
#9 73.34 
#9 73.34   + procps-ng    4.0.4  hf303867_0  conda-forge     552kB
#9 73.34 
#9 73.34   Summary:
#9 73.34 
#9 73.34   Install: 1 packages
#9 73.34 
#9 73.34   Total download: 552kB
#9 73.34 
#9 73.34 ───────────────────────────────────────────────────────────
#9 73.34 
#9 73.34 
#9 73.34 
#9 73.34 Transaction starting
#9 74.56 Linking procps-ng-4.0.4-hf303867_0
#9 74.56 
#9 74.56 Transaction finished
#9 74.56 
#9 74.56 To activate this environment, use:
#9 74.56 
#9 74.56     micromamba activate base
#9 74.56 
#9 74.56 Or to execute a single command in this environment, use:
#9 74.56 
#9 74.56     micromamba run -n base mycommand
#9 74.56 
#9 74.61 Collect information..
#9 74.61 Cleaning index cache..
#9 74.67 Cleaning lock files..
#9 74.67   Package file                                   Size
#9 74.67 ───────────────────────────────────────────────────────
#9 74.67   /opt/conda/pkgs
#9 74.67 ───────────────────────────────────────────────────────
#9 74.67 
#9 74.67   _libgcc_mutex-0.1-conda_forge.tar.bz2           3kB
#9 74.67   _openmp_mutex-4.5-2_gnu.tar.bz2                24kB
#9 74.67   bzip2-1.0.8-h4bc722e_7.conda                  253kB
#9 74.67   ca-certificates-2024.8.30-hbcca054_0.conda    159kB
#9 74.67   cffi-1.17.0-py312h06ac9bb_1.conda             294kB
#9 74.67   cutadapt-4.9-py312hf67a6ed_1.tar.bz2          343kB
#9 74.67   dnaio-1.2.1-py312hf67a6ed_2.tar.bz2           153kB
#9 74.67   gettext-0.22.5-he02047a_3.conda               479kB
#9 74.67   gettext-tools-0.22.5-he02047a_3.conda           3MB
#9 74.67   isa-l-2.31.0-h4bc722e_2.conda                 159kB
#9 74.67   ld_impl_linux-64-2.40-hf3520f5_7.conda        708kB
#9 74.67   libasprintf-0.22.5-he8f35ee_3.conda            43kB
#9 74.67   libasprintf-devel-0.22.5-he8f35ee_3.conda      34kB
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#9 74.67   libffi-3.4.2-h7f98852_5.tar.bz2                58kB
#9 74.67   libgcc-14.1.0-h77fa898_1.conda                846kB
#9 74.67   libgcc-ng-14.1.0-h69a702a_1.conda              52kB
#9 74.67   libgettextpo-0.22.5-he02047a_3.conda          171kB
#9 74.67   libgettextpo-devel-0.22.5-he02047a_3.conda     37kB
#9 74.67   libgomp-14.1.0-h77fa898_1.conda               460kB
#9 74.67   libidn2-2.3.7-hd590300_0.conda                127kB
#9 74.67   libnsl-2.0.1-hd590300_0.conda                  33kB
#9 74.67   libsqlite-3.46.0-hde9e2c9_0.conda             865kB
#9 74.67   libstdcxx-14.1.0-hc0a3c3a_1.conda               4MB
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#9 74.67   libxcrypt-4.4.36-hd590300_1.conda             100kB
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#9 74.67   ncurses-6.5-he02047a_1.conda                  889kB
#9 74.67   openssl-3.3.2-hb9d3cd8_0.conda                  3MB
#9 74.67   pbzip2-1.1.13-h1fcc475_2.conda                 42kB
#9 74.67   pigz-2.8-h2797004_0.conda                      72kB
#9 74.67   pip-24.2-pyh8b19718_1.conda                     1MB
#9 74.67   procps-ng-4.0.4-hf303867_0.conda              552kB
#9 74.67   pycparser-2.22-pyhd8ed1ab_0.conda             105kB
#9 74.67   python-3.12.3-hab00c5b_0_cpython.conda         32MB
#9 74.67   python-isal-1.7.0-py312h41a817b_0.conda        66kB
#9 74.67   python-zlib-ng-0.5.0-py312hbb25f6d_0.conda     57kB
#9 74.67   python_abi-3.12-5_cp312.conda                   6kB
#9 74.67   readline-8.2-h8228510_1.conda                 281kB
#9 74.67   setuptools-73.0.1-pyhd8ed1ab_0.conda            1MB
#9 74.67   tk-8.6.13-noxft_h4845f30_101.conda              3MB
#9 74.67   tzdata-2024a-h8827d51_1.conda                 124kB
#9 74.67   vsearch-2.28.1-h6a68c12_1.tar.bz2             249kB
#9 74.67   wget-1.20.3-ha35d2d1_1.tar.bz2                835kB
#9 74.67   wheel-0.44.0-pyhd8ed1ab_0.conda                59kB
#9 74.67   xopen-2.0.2-pyh707e725_1.conda                 22kB
#9 74.67   xz-5.2.6-h166bdaf_0.tar.bz2                   418kB
#9 74.67   zlib-1.2.13-h4ab18f5_6.conda                   93kB
#9 74.67   zlib-ng-2.2.1-he02047a_0.conda                105kB
#9 74.67   zstandard-0.23.0-py312hef9b889_1.conda        420kB
#9 74.67   zstd-1.5.6-ha6fb4c9_0.conda                   555kB
#9 74.67 
#9 74.67   /home/mambauser/.mamba/pkgs
#9 74.67 ───────────────────────────────────────────────────────
#9 74.67 
#9 74.67 
#9 74.67   
#9 74.67 ───────────────────────────────────────────────────────
#9 74.67 
#9 74.67   Total size:                                    60MB
#9 74.67 Cleaning tarballs..
#9 74.68 Cleaning packages..
#9 DONE 74.7s

#10 exporting to image
#10 exporting layers
#10 exporting layers 50.1s done
#10 ...

#11 [auth] library/cutadapt_muscle_vsearch_wget_pruned:pull,push token for community.wave.seqera.io
#11 DONE 0.0s

#10 exporting to image
#10 exporting manifest sha256:eb09aef390d229f276ad4bcd00f7932d40e70db082ffd29ec9550c234af6fbc6 0.0s done
#10 exporting config sha256:5b86c6c8e3b60b3abe6563596579884018d0d920204aa9e5854e3200a05da9da done
#10 pushing layers
#10 pushing layers 8.8s done
#10 pushing manifest for community.wave.seqera.io/library/cutadapt_muscle_vsearch_wget_pruned:04f6c0370c0226c5@sha256:eb09aef390d229f276ad4bcd00f7932d40e70db082ffd29ec9550c234af6fbc6
#10 pushing manifest for community.wave.seqera.io/library/cutadapt_muscle_vsearch_wget_pruned:04f6c0370c0226c5@sha256:eb09aef390d229f276ad4bcd00f7932d40e70db082ffd29ec9550c234af6fbc6 0.2s done
#10 DONE 59.1s

#12 exporting cache to registry
#12 preparing build cache for export
#12 writing layer sha256:2ec3f7ad9b3ca7370ae62c6bdb36e3575239b5b0942163d36814c87efb3ff90d 0.1s done
#12 writing layer sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1
#12 writing layer sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 done
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#12 writing layer sha256:7a7fc8f981ad6fd5760c9b7f6d5a490ddf199179539989af02804d7350dad59b
#12 writing layer sha256:7a7fc8f981ad6fd5760c9b7f6d5a490ddf199179539989af02804d7350dad59b 0.3s done
#12 writing layer sha256:ba94160d36b7deda51b8adb4b3454e09b69351e492c4ba5fc9e013141b791c20
#12 writing layer sha256:ba94160d36b7deda51b8adb4b3454e09b69351e492c4ba5fc9e013141b791c20 0.0s done
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#12 writing layer sha256:dbea032da5bd640d176b729c33ecccf8ea3629fa8e68d815cea387e59eb7d5ea
#12 writing layer sha256:dbea032da5bd640d176b729c33ecccf8ea3629fa8e68d815cea387e59eb7d5ea 9.2s done
#12 writing layer sha256:f628b9cff8d1fca195e3e0e46a62f6cc2649e3ab5f52ad0b584ff1c27a00ee49
#12 writing layer sha256:f628b9cff8d1fca195e3e0e46a62f6cc2649e3ab5f52ad0b584ff1c27a00ee49 0.0s done
#12 writing config sha256:28085bd3dbd7d68ecb989bd13681b63762681d1f55951551f28a3e61f71720c5
#12 writing config sha256:28085bd3dbd7d68ecb989bd13681b63762681d1f55951551f28a3e61f71720c5 0.4s done
#12 writing cache image manifest sha256:29876ea0837337548df3078d3fdd6617300976a7b293482c835cb8dbab6316ec
#12 preparing build cache for export 10.7s done
#12 writing cache image manifest sha256:29876ea0837337548df3078d3fdd6617300976a7b293482c835cb8dbab6316ec 0.2s done
#12 DONE 10.7s
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 > importing cache manifest from 195996028523.dkr.ecr.eu-west-1.amazonaws.com/wave/build/cache:04f6c0370c0226c5:
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