#0 building with "desktop-linux" instance using docker driver

#1 [internal] load build definition from Dockerfile
#1 transferring dockerfile: 168B 0.0s done
#1 DONE 0.1s

#2 [internal] load metadata for docker.io/library/python:3.12-slim
#2 DONE 0.1s

#3 [internal] load .dockerignore
#3 transferring context: 2B 0.0s done
#3 DONE 0.1s

#4 [1/3] FROM docker.io/library/python:3.12-slim@sha256:05cda9777409a9c3ffddd94a4c476b79f0769a0b4857f0c7ed9226b6800b0d6f
#4 resolve docker.io/library/python:3.12-slim@sha256:05cda9777409a9c3ffddd94a4c476b79f0769a0b4857f0c7ed9226b6800b0d6f 0.0s done
#4 CACHED

#5 [2/3] RUN pip install --no-cache-dir numpy==2.3.5 pandas==2.2.3
#5 23.48 Collecting numpy==2.3.5
#5 23.61   Downloading numpy-2.3.5-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.metadata (62 kB)
#5 24.08 Collecting pandas==2.2.3
#5 24.11   Downloading pandas-2.2.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl.metadata (89 kB)
#5 24.26 Collecting python-dateutil>=2.8.2 (from pandas==2.2.3)
#5 24.29   Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)
#5 24.52 Collecting pytz>=2020.1 (from pandas==2.2.3)
#5 24.57   Downloading pytz-2026.5-py2.py3-none-any.whl.metadata (22 kB)
#5 24.66 Collecting tzdata>=2022.7 (from pandas==2.2.3)
#5 24.68   Downloading tzdata-2026.5-py2.py3-none-any.whl.metadata (1.4 kB)
#5 24.76 Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas==2.2.3)
#5 24.79   Downloading six-1.17.0-py2.py3-none-any.whl.metadata (1.7 kB)
#5 24.82 Downloading numpy-2.3.5-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (14.3 MB)
#5 26.18    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 14.3/14.3 MB 11.4 MB/s eta 0:00:00
#5 26.22 Downloading pandas-2.2.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (15.2 MB)
#5 27.52    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.2/15.2 MB 11.9 MB/s eta 0:00:00
#5 27.56 Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)
#5 27.60 Downloading pytz-2026.5-py2.py3-none-any.whl (506 kB)
#5 27.65 Downloading tzdata-2026.5-py2.py3-none-any.whl (347 kB)
#5 27.71 Downloading six-1.17.0-py2.py3-none-any.whl (11 kB)
#5 27.99 Installing collected packages: pytz, tzdata, six, numpy, python-dateutil, pandas
#5 48.86 Successfully installed numpy-2.3.5 pandas-2.2.3 python-dateutil-2.9.0.post0 pytz-2026.5 six-1.17.0 tzdata-2026.5
#5 48.87 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
#5 49.27 
#5 49.27 [notice] A new release of pip is available: 25.0.1 -> 26.2.1
#5 49.27 [notice] To update, run: pip install --upgrade pip
#5 DONE 50.1s

#6 [3/3] WORKDIR /workspace
#6 DONE 0.2s

#7 exporting to image
#7 exporting layers
#7 exporting layers 11.2s done
#7 exporting manifest sha256:4e5718751b52085e4bd93ca5e43114cb71cccefe7f845c694fdaae25bbcb8983 0.0s done
#7 exporting config sha256:631f45805c00abfbcdca01ed9072683de7ec61d3d5b247df9f6a2b7fd9a8b3db 0.0s done
#7 exporting attestation manifest sha256:419794483563a7ec27b3cffb2d7050c96c2c3f576d24937887970b2f82c2c912 0.0s done
#7 exporting manifest list sha256:562254c0675f943e03468239cee74eecfcd48e77e4ac23914a0f003e6f8cf762 0.0s done
#7 naming to docker.io/library/sj-harness:395814eac84f4284 done
#7 unpacking to docker.io/library/sj-harness:395814eac84f4284
#7 unpacking to docker.io/library/sj-harness:395814eac84f4284 3.5s done
#7 DONE 14.9s