#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)
#9 43.43 Collecting python-dateutil>=2.8.2 (from pandas>=0.23.4->crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#9 43.43 Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)
#9 43.52 Collecting pytz>=2020.1 (from pandas>=0.23.4->crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#9 43.52 Downloading pytz-2024.1-py2.py3-none-any.whl.metadata (22 kB)
#9 43.55 Collecting tzdata>=2022.7 (from pandas>=0.23.4->crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#9 43.56 Downloading tzdata-2024.1-py2.py3-none-any.whl.metadata (1.4 kB)
#9 43.71 Collecting contourpy>=1.0.1 (from matplotlib->crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#9 43.72 Downloading contourpy-1.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.4 kB)
#9 43.77 Collecting cycler>=0.10 (from matplotlib->crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#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))
#9 44.05 Downloading fonttools-4.53.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (162 kB)
#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))
#9 44.76 Downloading pillow-10.4.0-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (9.2 kB)
#9 44.82 Collecting pyparsing>=2.3.1 (from matplotlib->crabs==0.2.0->-r /tmp/mambafSMbiItIvJ2 (line 1))
#9 44.83 Downloading pyparsing-3.1.4-py3-none-any.whl.metadata (5.1 kB)
#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))
#9 44.89 Downloading six-1.16.0-py2.py3-none-any.whl.metadata (1.8 kB)
#9 44.91 Downloading crabs-0.2.0-py3-none-any.whl (27 kB)
#9 44.92 Downloading biopython-1.84-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB)
#9 45.01 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.2/3.2 MB 43.6 MB/s eta 0:00:00
#9 45.01 Downloading pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.7 MB)
#9 45.13 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.7/12.7 MB 110.9 MB/s eta 0:00:00
#9 45.14 Downloading numpy-2.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.0 MB)
#9 45.29 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16.0/16.0 MB 101.2 MB/s eta 0:00:00
#9 45.30 Downloading matplotlib-3.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.3 MB)
#9 45.37 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.3/8.3 MB 123.9 MB/s eta 0:00:00
#9 45.37 Downloading tqdm-4.66.5-py3-none-any.whl (78 kB)
#9 45.38 Downloading contourpy-1.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (320 kB)
#9 45.40 Downloading cycler-0.12.1-py3-none-any.whl (8.3 kB)
#9 45.40 Downloading fonttools-4.53.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.9 MB)
#9 45.44 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.9/4.9 MB 126.3 MB/s eta 0:00:00
#9 45.45 Downloading kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB)
#9 45.47 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.5/1.5 MB 78.3 MB/s eta 0:00:00
#9 45.48 Downloading packaging-24.1-py3-none-any.whl (53 kB)
#9 45.49 Downloading pillow-10.4.0-cp312-cp312-manylinux_2_28_x86_64.whl (4.5 MB)
#9 45.55 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.5/4.5 MB 80.3 MB/s eta 0:00:00
#9 45.56 Downloading pyparsing-3.1.4-py3-none-any.whl (104 kB)
#9 45.57 Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)
#9 45.59 Downloading pytz-2024.1-py2.py3-none-any.whl (505 kB)
#9 45.61 Downloading tzdata-2024.1-py2.py3-none-any.whl (345 kB)
#9 45.63 Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)
#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
#9 74.67 libexpat-2.6.2-h59595ed_0.conda 74kB
#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
#9 74.67 libstdcxx-ng-14.1.0-h4852527_1.conda 52kB
#9 74.67 libunistring-0.9.10-h7f98852_0.tar.bz2 1MB
#9 74.67 libuuid-2.38.1-h0b41bf4_0.conda 34kB
#9 74.67 libxcrypt-4.4.36-hd590300_1.conda 100kB
#9 74.67 libzlib-1.2.13-h4ab18f5_6.conda 62kB
#9 74.67 muscle-3.8.31-0.tar.bz2 537kB
#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
#12 writing layer sha256:5ac55ff04773eac7cebaba969418b043fb8730cdf0c06a304947e2829843de29 0.0s done
#12 writing layer sha256:6360b371721185fefbbad6763ab745900f1b2f7714570234473232dd575fc07f 0.0s done
#12 writing layer sha256:6f63df1cb8dd88eaeb90664607de9e89b14dc80edbc0036c04766e0354d1d7a4
#12 writing layer sha256:6f63df1cb8dd88eaeb90664607de9e89b14dc80edbc0036c04766e0354d1d7a4 0.0s done
#12 writing layer sha256:7716ca30060043d1c1ba35c09e8eb2fda19788fc0d5ec491d85e866306207cc9 0.0s done
#12 writing layer sha256:77c7a930b7cc5b2ef4bc0b220ae5f667fb72367378062f5c3413f351d8a36537 0.0s done
#12 writing layer sha256:7834e8feb90464229ef06c52cb68bce75046c5e9cc4ff5bb8d378a37babaa67c
#12 writing layer sha256:7834e8feb90464229ef06c52cb68bce75046c5e9cc4ff5bb8d378a37babaa67c 0.1s done
#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
#12 writing layer sha256:c864db06f68bde3e935ec5d482c1c63575cde16d0492a2f0a4d66ef76d1fbce5 0.0s done
#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
------
> importing cache manifest from 195996028523.dkr.ecr.eu-west-1.amazonaws.com/wave/build/cache:04f6c0370c0226c5:
------