#0 building with "ecr-multiarch-builder" instance using docker-container driver

#1 [internal] load build definition from Dockerfile
#1 transferring dockerfile: 239B done
#1 DONE 0.0s

#2 [internal] load metadata for public.ecr.aws/docker/library/python:3.12-slim
#2 DONE 0.6s

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

#4 [1/3] FROM public.ecr.aws/docker/library/python:3.12-slim@sha256:a6e34c598f2467ed0e9a8d349809fcd8b5c603269512df273a0bb1784edc11b1
#4 resolve public.ecr.aws/docker/library/python:3.12-slim@sha256:a6e34c598f2467ed0e9a8d349809fcd8b5c603269512df273a0bb1784edc11b1 0.0s done
#4 CACHED

#5 [internal] load build context
#5 transferring context: 179B done
#5 DONE 0.0s

#6 [2/3] COPY env/ /opt/sj-env/
#6 DONE 0.1s

#7 [3/3] RUN pip install --no-cache-dir --root-user-action=ignore -r /opt/sj-env/requirements.txt
#7 1.371 Collecting numpy==2.2.6 (from -r /opt/sj-env/requirements.txt (line 1))
#7 1.428   Downloading numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (63 kB)
#7 1.505 Collecting scipy==1.15.3 (from -r /opt/sj-env/requirements.txt (line 2))
#7 1.513   Downloading scipy-1.15.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (61 kB)
#7 1.583 Collecting pandas==2.2.3 (from -r /opt/sj-env/requirements.txt (line 3))
#7 1.605   Downloading pandas-2.2.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl.metadata (89 kB)
#7 1.635 Collecting nibabel==5.3.2 (from -r /opt/sj-env/requirements.txt (line 4))
#7 1.642   Downloading nibabel-5.3.2-py3-none-any.whl.metadata (9.1 kB)
#7 1.668 Collecting statsmodels==0.14.4 (from -r /opt/sj-env/requirements.txt (line 5))
#7 1.674   Downloading statsmodels-0.14.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (9.2 kB)
#7 1.773 Collecting patsy==1.0.1 (from -r /opt/sj-env/requirements.txt (line 6))
#7 1.781   Downloading patsy-1.0.1-py2.py3-none-any.whl.metadata (3.3 kB)
#7 1.795 Collecting packaging==25.0 (from -r /opt/sj-env/requirements.txt (line 7))
#7 1.802   Downloading packaging-25.0-py3-none-any.whl.metadata (3.3 kB)
#7 1.822 Collecting python-dateutil>=2.8.2 (from pandas==2.2.3->-r /opt/sj-env/requirements.txt (line 3))
#7 1.829   Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)
#7 1.856 Collecting pytz>=2020.1 (from pandas==2.2.3->-r /opt/sj-env/requirements.txt (line 3))
#7 1.864   Downloading pytz-2026.5-py2.py3-none-any.whl.metadata (22 kB)
#7 1.876 Collecting tzdata>=2022.7 (from pandas==2.2.3->-r /opt/sj-env/requirements.txt (line 3))
#7 1.883   Downloading tzdata-2026.5-py2.py3-none-any.whl.metadata (1.4 kB)
#7 1.900 Collecting typing-extensions>=4.6 (from nibabel==5.3.2->-r /opt/sj-env/requirements.txt (line 4))
#7 1.911   Downloading typing_extensions-4.16.0-py3-none-any.whl.metadata (3.3 kB)
#7 1.936 Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas==2.2.3->-r /opt/sj-env/requirements.txt (line 3))
#7 1.943   Downloading six-1.17.0-py2.py3-none-any.whl.metadata (1.7 kB)
#7 1.954 Downloading numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.0 MB)
#7 2.122    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 14.0/14.0 MB 86.3 MB/s eta 0:00:00
#7 2.129 Downloading scipy-1.15.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (35.2 MB)
#7 2.880    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 35.2/35.2 MB 47.2 MB/s eta 0:00:00
#7 2.892 Downloading pandas-2.2.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (15.2 MB)
#7 3.103    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.2/15.2 MB 72.6 MB/s eta 0:00:00
#7 3.112 Downloading nibabel-5.3.2-py3-none-any.whl (3.3 MB)
#7 3.154    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.3/3.3 MB 87.5 MB/s eta 0:00:00
#7 3.165 Downloading statsmodels-0.14.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (10.3 MB)
#7 3.408    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.3/10.3 MB 42.0 MB/s eta 0:00:00
#7 3.420 Downloading patsy-1.0.1-py2.py3-none-any.whl (232 kB)
#7 3.429 Downloading packaging-25.0-py3-none-any.whl (66 kB)
#7 3.439 Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)
#7 3.448 Downloading pytz-2026.5-py2.py3-none-any.whl (506 kB)
#7 3.467 Downloading typing_extensions-4.16.0-py3-none-any.whl (45 kB)
#7 3.478 Downloading tzdata-2026.5-py2.py3-none-any.whl (347 kB)
#7 3.496 Downloading six-1.17.0-py2.py3-none-any.whl (11 kB)
#7 3.647 Installing collected packages: pytz, tzdata, typing-extensions, six, packaging, numpy, scipy, python-dateutil, patsy, nibabel, pandas, statsmodels
#7 11.51 Successfully installed nibabel-5.3.2 numpy-2.2.6 packaging-25.0 pandas-2.2.3 patsy-1.0.1 python-dateutil-2.9.0.post0 pytz-2026.5 scipy-1.15.3 six-1.17.0 statsmodels-0.14.4 typing-extensions-4.16.0 tzdata-2026.5
#7 DONE 13.6s

#8 exporting to docker image format
#8 exporting layers
#8 exporting layers 7.9s done
#8 exporting manifest sha256:c0ae90a2d750f9ecc264b6cec23c080e28f213d69d4aaaa36b8de352649a3bf4 0.0s done
#8 exporting config sha256:818b4baba3fbf9bd9c6e2c0ed79feac38dfedd4e7d53675e3eb1b49258140876 done
#8 sending tarball
#8 ...

#9 importing to docker
#9 loading layer 358b6cdcf4df 241B / 241B
#9 loading layer 069037a21ac0 557.06kB / 111.52MB
#9 loading layer 069037a21ac0 82.44MB / 111.52MB 2.1s
#9 loading layer 069037a21ac0 111.52MB / 111.52MB 2.9s done
#9 loading layer 358b6cdcf4df 241B / 241B 2.9s done
#9 DONE 2.9s

#8 exporting to docker image format
#8 sending tarball 3.9s done
#8 DONE 11.7s
