#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 1.3s

#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: 130B done
#5 DONE 0.1s

#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 1.256 Collecting numpy==2.5.3 (from -r /opt/sj-env/requirements.txt (line 1))
#7 1.308   Downloading numpy-2.5.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.metadata (6.6 kB)
#7 1.371 Collecting scipy==1.18.1 (from -r /opt/sj-env/requirements.txt (line 2))
#7 1.427   Downloading scipy-1.18.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.metadata (62 kB)
#7 1.498 Collecting pandas==3.0.6 (from -r /opt/sj-env/requirements.txt (line 3))
#7 1.603   Downloading pandas-3.0.6-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.metadata (79 kB)
#7 1.793 Collecting nibabel==5.4.2 (from -r /opt/sj-env/requirements.txt (line 4))
#7 1.957   Downloading nibabel-5.4.2-py3-none-any.whl.metadata (8.9 kB)
#7 2.049 Collecting python-dateutil>=2.8.2 (from pandas==3.0.6->-r /opt/sj-env/requirements.txt (line 3))
#7 2.058   Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)
#7 2.186 Collecting packaging>=20 (from nibabel==5.4.2->-r /opt/sj-env/requirements.txt (line 4))
#7 2.201   Downloading packaging-26.3-py3-none-any.whl.metadata (3.5 kB)
#7 2.232 Collecting typing-extensions>=4.6 (from nibabel==5.4.2->-r /opt/sj-env/requirements.txt (line 4))
#7 2.242   Downloading typing_extensions-4.16.0-py3-none-any.whl.metadata (3.3 kB)
#7 2.263 Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas==3.0.6->-r /opt/sj-env/requirements.txt (line 3))
#7 2.271   Downloading six-1.17.0-py2.py3-none-any.whl.metadata (1.7 kB)
#7 2.288 Downloading numpy-2.5.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (15.7 MB)
#7 3.037    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.7/15.7 MB 21.0 MB/s eta 0:00:00
#7 3.137 Downloading scipy-1.18.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (34.0 MB)
#7 4.120    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.0/34.0 MB 34.7 MB/s eta 0:00:00
#7 4.139 Downloading pandas-3.0.6-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (10.3 MB)
#7 4.263    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.3/10.3 MB 86.5 MB/s eta 0:00:00
#7 4.287 Downloading nibabel-5.4.2-py3-none-any.whl (3.3 MB)
#7 4.315    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.3/3.3 MB 139.0 MB/s eta 0:00:00
#7 4.327 Downloading packaging-26.3-py3-none-any.whl (129 kB)
#7 4.339 Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)
#7 4.350 Downloading typing_extensions-4.16.0-py3-none-any.whl (45 kB)
#7 4.362 Downloading six-1.17.0-py2.py3-none-any.whl (11 kB)
#7 4.466 Installing collected packages: typing-extensions, six, packaging, numpy, scipy, python-dateutil, nibabel, pandas
#7 11.02 Successfully installed nibabel-5.4.2 numpy-2.5.3 packaging-26.3 pandas-3.0.6 python-dateutil-2.9.0.post0 scipy-1.18.1 six-1.17.0 typing-extensions-4.16.0
#7 DONE 12.8s

#8 exporting to docker image format
#8 exporting layers
#8 exporting layers 6.1s done
#8 exporting manifest sha256:60c8acbbe629e9a1c0e2e4c8f1907dc5fe7407c8b03f7360a6e440e8e8e321b7 0.0s done
#8 exporting config sha256:a652dd20b8554c7965399bf0af4c4c1ee19e4a19119183506aacbfe1111b194d 0.0s done
#8 sending tarball
#8 ...

#9 importing to docker
#9 loading layer 541941c6bd41 207B / 207B
#9 loading layer 0d6e940c37d8 557.06kB / 91.99MB
#9 loading layer 0d6e940c37d8 77.99MB / 91.99MB 2.0s
#9 loading layer 0d6e940c37d8 91.99MB / 91.99MB 2.2s done
#9 loading layer 541941c6bd41 207B / 207B 2.3s done
#9 DONE 2.3s

#8 exporting to docker image format
#8 sending tarball 3.0s done
#8 DONE 9.1s