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

#1 [internal] load build definition from Dockerfile
#1 transferring dockerfile: 245B 0.0s done
#1 DONE 0.1s

#2 [internal] load metadata for docker.io/library/python:3.13.5-slim
#2 DONE 3.7s

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

#4 [1/2] FROM docker.io/library/python:3.13.5-slim@sha256:4c2cf9917bd1cbacc5e9b07320025bdb7cdf2df7b0ceaccb55e9dd7e30987419
#4 resolve docker.io/library/python:3.13.5-slim@sha256:4c2cf9917bd1cbacc5e9b07320025bdb7cdf2df7b0ceaccb55e9dd7e30987419 0.0s done
#4 DONE 0.0s

#4 [1/2] FROM docker.io/library/python:3.13.5-slim@sha256:4c2cf9917bd1cbacc5e9b07320025bdb7cdf2df7b0ceaccb55e9dd7e30987419
#4 sha256:332df41ef6cb0ca84d80cd11cdd807d8a3fe6685f6d720f7530b4bdb24776113 0B / 250B 0.2s
#4 sha256:332df41ef6cb0ca84d80cd11cdd807d8a3fe6685f6d720f7530b4bdb24776113 250B / 250B 0.3s done
#4 sha256:bf35b64f7da660f05a4425ea23d8583527599a28f754edaa7091491bfcb5ee63 0B / 12.48MB 0.2s
#4 sha256:26f6c17bf4408e4707178159d7dfd03a36347c0ba678a404f81f9ea5a5d9a5bd 0B / 3.34MB 0.2s
#4 sha256:b3407f3b5b5beb45007b2980ccef71785b08dae5a2dcbdd91272f35c4c5e784f 0B / 28.08MB 0.2s
#4 sha256:bf35b64f7da660f05a4425ea23d8583527599a28f754edaa7091491bfcb5ee63 1.05MB / 12.48MB 0.8s
#4 sha256:bf35b64f7da660f05a4425ea23d8583527599a28f754edaa7091491bfcb5ee63 4.19MB / 12.48MB 0.9s
#4 sha256:bf35b64f7da660f05a4425ea23d8583527599a28f754edaa7091491bfcb5ee63 8.39MB / 12.48MB 1.1s
#4 sha256:bf35b64f7da660f05a4425ea23d8583527599a28f754edaa7091491bfcb5ee63 12.48MB / 12.48MB 1.2s done
#4 sha256:26f6c17bf4408e4707178159d7dfd03a36347c0ba678a404f81f9ea5a5d9a5bd 1.05MB / 3.34MB 1.4s
#4 sha256:26f6c17bf4408e4707178159d7dfd03a36347c0ba678a404f81f9ea5a5d9a5bd 3.34MB / 3.34MB 1.5s done
#4 sha256:b3407f3b5b5beb45007b2980ccef71785b08dae5a2dcbdd91272f35c4c5e784f 3.15MB / 28.08MB 1.5s
#4 sha256:b3407f3b5b5beb45007b2980ccef71785b08dae5a2dcbdd91272f35c4c5e784f 6.29MB / 28.08MB 1.7s
#4 sha256:b3407f3b5b5beb45007b2980ccef71785b08dae5a2dcbdd91272f35c4c5e784f 11.53MB / 28.08MB 2.0s
#4 sha256:b3407f3b5b5beb45007b2980ccef71785b08dae5a2dcbdd91272f35c4c5e784f 14.68MB / 28.08MB 2.1s
#4 sha256:b3407f3b5b5beb45007b2980ccef71785b08dae5a2dcbdd91272f35c4c5e784f 16.78MB / 28.08MB 2.3s
#4 sha256:b3407f3b5b5beb45007b2980ccef71785b08dae5a2dcbdd91272f35c4c5e784f 18.87MB / 28.08MB 2.4s
#4 sha256:b3407f3b5b5beb45007b2980ccef71785b08dae5a2dcbdd91272f35c4c5e784f 24.12MB / 28.08MB 2.6s
#4 sha256:b3407f3b5b5beb45007b2980ccef71785b08dae5a2dcbdd91272f35c4c5e784f 28.08MB / 28.08MB 2.7s
#4 sha256:b3407f3b5b5beb45007b2980ccef71785b08dae5a2dcbdd91272f35c4c5e784f 28.08MB / 28.08MB 2.7s done
#4 extracting sha256:b3407f3b5b5beb45007b2980ccef71785b08dae5a2dcbdd91272f35c4c5e784f
#4 extracting sha256:b3407f3b5b5beb45007b2980ccef71785b08dae5a2dcbdd91272f35c4c5e784f 2.2s done
#4 DONE 5.0s

#4 [1/2] FROM docker.io/library/python:3.13.5-slim@sha256:4c2cf9917bd1cbacc5e9b07320025bdb7cdf2df7b0ceaccb55e9dd7e30987419
#4 extracting sha256:26f6c17bf4408e4707178159d7dfd03a36347c0ba678a404f81f9ea5a5d9a5bd
#4 extracting sha256:26f6c17bf4408e4707178159d7dfd03a36347c0ba678a404f81f9ea5a5d9a5bd 0.2s done
#4 DONE 5.3s

#4 [1/2] FROM docker.io/library/python:3.13.5-slim@sha256:4c2cf9917bd1cbacc5e9b07320025bdb7cdf2df7b0ceaccb55e9dd7e30987419
#4 extracting sha256:bf35b64f7da660f05a4425ea23d8583527599a28f754edaa7091491bfcb5ee63
#4 extracting sha256:bf35b64f7da660f05a4425ea23d8583527599a28f754edaa7091491bfcb5ee63 0.8s done
#4 DONE 6.1s

#4 [1/2] FROM docker.io/library/python:3.13.5-slim@sha256:4c2cf9917bd1cbacc5e9b07320025bdb7cdf2df7b0ceaccb55e9dd7e30987419
#4 extracting sha256:332df41ef6cb0ca84d80cd11cdd807d8a3fe6685f6d720f7530b4bdb24776113 0.0s done
#4 DONE 6.1s

#5 [2/2] RUN pip install --no-cache-dir numpy==2.5.4 pandas==3.0.6 scipy==1.18.1 duckdb==1.5.6 pyarrow==26.0.0
#5 3.788 Collecting numpy==2.5.4
#5 3.923   Downloading numpy-2.5.4-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.metadata (6.6 kB)
#5 4.132 Collecting pandas==3.0.6
#5 4.243   Downloading pandas-3.0.6-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.metadata (79 kB)
#5 4.712 Collecting scipy==1.18.1
#5 4.750   Downloading scipy-1.18.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.metadata (62 kB)
#5 5.392 Collecting duckdb==1.5.6
#5 5.445   Downloading duckdb-1.5.6-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl.metadata (4.2 kB)
#5 5.716 Collecting pyarrow==26.0.0
#5 5.806   Downloading pyarrow-26.0.0-cp313-cp313-manylinux_2_28_aarch64.whl.metadata (3.0 kB)
#5 5.861 Collecting python-dateutil>=2.8.2 (from pandas==3.0.6)
#5 5.886   Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)
#5 5.943 Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas==3.0.6)
#5 5.960   Downloading six-1.17.0-py2.py3-none-any.whl.metadata (1.7 kB)
#5 5.996 Downloading numpy-2.5.4-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (15.7 MB)
#5 6.705    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.7/15.7 MB 23.0 MB/s eta 0:00:00
#5 6.745 Downloading pandas-3.0.6-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (10.2 MB)
#5 7.212    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.2/10.2 MB 35.2 MB/s eta 0:00:00
#5 7.280 Downloading scipy-1.18.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (34.0 MB)
#5 8.949    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.0/34.0 MB 22.0 MB/s eta 0:00:00
#5 9.000 Downloading duckdb-1.5.6-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (19.5 MB)
#5 9.775    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.5/19.5 MB 25.1 MB/s eta 0:00:00
#5 9.835 Downloading pyarrow-26.0.0-cp313-cp313-manylinux_2_28_aarch64.whl (50.9 MB)
#5 16.13    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 MB 8.1 MB/s eta 0:00:00
#5 16.16 Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)
#5 16.28 Downloading six-1.17.0-py2.py3-none-any.whl (11 kB)
#5 16.82 Installing collected packages: six, pyarrow, numpy, duckdb, scipy, python-dateutil, pandas
#5 49.77 
#5 49.78 Successfully installed duckdb-1.5.6 numpy-2.5.4 pandas-3.0.6 pyarrow-26.0.0 python-dateutil-2.9.0.post0 scipy-1.18.1 six-1.17.0
#5 49.78 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 50.04 
#5 50.04 [notice] A new release of pip is available: 25.1.1 -> 26.2.1
#5 50.04 [notice] To update, run: pip install --upgrade pip
#5 DONE 51.6s

#6 exporting to image
#6 exporting layers
#6 exporting layers 38.5s done
#6 exporting manifest sha256:6adf9a2b7e68aa9ec6735e006d18e338bab78c7f224f3d987164add74d825ba8 0.0s done
#6 exporting config sha256:61d04dc7fc9f37d0cf0230c4c313b5682fbbdc7bd2433e498e697d9a28b921b7 0.0s done
#6 exporting attestation manifest sha256:6754c93520331717d825c773c38f29f411c8a0ccd8e35c7a2f63fcc582db2c96 0.0s done
#6 exporting manifest list sha256:ffd0208c5b9276db54cc04ee0a72275a6f17177087375db2bf33907b25269f2e 0.0s done
#6 naming to docker.io/library/sj-harness:cfda4c85d2059679
#6 naming to docker.io/library/sj-harness:cfda4c85d2059679 done
#6 unpacking to docker.io/library/sj-harness:cfda4c85d2059679
#6 unpacking to docker.io/library/sj-harness:cfda4c85d2059679 17.6s done
#6 DONE 56.3s