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Bump kagglesdk to 0.1.25 and apply black formatting

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Add 'kaggle quota' command for GPU/TPU accelerator quota #1029

Bump kagglesdk to 0.1.25 and apply black formatting
3e37a70
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Google Cloud Build / kaggle-cli-branch-3-14-4 (kaggle-cicd) succeeded May 27, 2026 in 52s

Summary

Build Information

Trigger kaggle-cli-branch-3-14-4
Build 37d722a9-63c8-4f7d-b5e8-e109cc1e9f23
Start 2026-05-27T09:39:15-07:00
Duration 50.346s
Status SUCCESS

Steps

Step Status Duration
check_substitutions SUCCESS 9.293s
build-hatch-image SUCCESS 4.376s
lint SUCCESS 29.535s

Details

starting build "37d722a9-63c8-4f7d-b5e8-e109cc1e9f23"

FETCHSOURCE
From https://github.com/Kaggle/kaggle-cli
 * branch            3e37a70711d7a57d81f1b31d159b0e4b3b6c076d -> FETCH_HEAD
HEAD is now at 3e37a70 Bump kagglesdk to 0.1.25 and apply black formatting
GitCommit:
3e37a70711d7a57d81f1b31d159b0e4b3b6c076d
BUILD
Starting Step #0 - "check_substitutions"
Step #0 - "check_substitutions": Already have image (with digest): gcr.io/cloud-builders/docker
Step #0 - "check_substitutions": 3.14.4: Pulling from kaggle-cicd/tools/cli-builder
Step #0 - "check_substitutions": 307f8152a55e: Already exists
Step #0 - "check_substitutions": caf6c0a95e34: Already exists
Step #0 - "check_substitutions": 82a92b93bf71: Already exists
Step #0 - "check_substitutions": 547079076124: Already exists
Step #0 - "check_substitutions": ac0056582236: Pulling fs layer
Step #0 - "check_substitutions": e100e2c00d1e: Pulling fs layer
Step #0 - "check_substitutions": 60dca0481144: Pulling fs layer
Step #0 - "check_substitutions": eae808a1167b: Pulling fs layer
Step #0 - "check_substitutions": e3cdae6ced08: Pulling fs layer
Step #0 - "check_substitutions": 60dca0481144: Verifying Checksum
Step #0 - "check_substitutions": 60dca0481144: Download complete
Step #0 - "check_substitutions": eae808a1167b: Verifying Checksum
Step #0 - "check_substitutions": eae808a1167b: Download complete
Step #0 - "check_substitutions": ac0056582236: Verifying Checksum
Step #0 - "check_substitutions": ac0056582236: Download complete
Step #0 - "check_substitutions": e100e2c00d1e: Verifying Checksum
Step #0 - "check_substitutions": e100e2c00d1e: Download complete
Step #0 - "check_substitutions": ac0056582236: Pull complete
Step #0 - "check_substitutions": e3cdae6ced08: Verifying Checksum
Step #0 - "check_substitutions": e3cdae6ced08: Download complete
Step #0 - "check_substitutions": e100e2c00d1e: Pull complete
Step #0 - "check_substitutions": 60dca0481144: Pull complete
Step #0 - "check_substitutions": eae808a1167b: Pull complete
Step #0 - "check_substitutions": e3cdae6ced08: Pull complete
Step #0 - "check_substitutions": Digest: sha256:ccea151b22526fc1d18472d77ac8d5f46e102a9ff6e78153c97fe5f88e5d34df
Step #0 - "check_substitutions": Status: Downloaded newer image for us-docker.pkg.dev/kaggle-cicd/tools/cli-builder:3.14.4
Step #0 - "check_substitutions": us-docker.pkg.dev/kaggle-cicd/tools/cli-builder:3.14.4
Finished Step #0 - "check_substitutions"
Starting Step #1 - "build-hatch-image"
Step #1 - "build-hatch-image": Already have image (with digest): gcr.io/cloud-builders/docker
Step #1 - "build-hatch-image": Sending build context to Docker daemon  5.632kB

Step #1 - "build-hatch-image": Step 1/5 : ARG PYTHON_VERSION
Step #1 - "build-hatch-image": Step 2/5 : FROM python:${PYTHON_VERSION}
Step #1 - "build-hatch-image": 3.14.4: Pulling from library/python
Step #1 - "build-hatch-image": 307f8152a55e: Already exists
Step #1 - "build-hatch-image": caf6c0a95e34: Already exists
Step #1 - "build-hatch-image": 82a92b93bf71: Already exists
Step #1 - "build-hatch-image": 547079076124: Already exists
Step #1 - "build-hatch-image": ac0056582236: Already exists
Step #1 - "build-hatch-image": e100e2c00d1e: Already exists
Step #1 - "build-hatch-image": 60dca0481144: Already exists
Step #1 - "build-hatch-image": Digest: sha256:4a15376f41633421c86c2dda11809afb72b9fa945f6b731e1dffc143e373fc5f
Step #1 - "build-hatch-image": Status: Downloaded newer image for python:3.14.4
Step #1 - "build-hatch-image":  ---> 2675b707c1ab
Step #1 - "build-hatch-image": Step 3/5 : RUN python -m pip install --upgrade pip
Step #1 - "build-hatch-image":  ---> Using cache
Step #1 - "build-hatch-image":  ---> a9ea30ce281a
Step #1 - "build-hatch-image": Step 4/5 : RUN python -m pip install hatch==1.16.5
Step #1 - "build-hatch-image":  ---> Using cache
Step #1 - "build-hatch-image":  ---> c87ccb733435
Step #1 - "build-hatch-image": Step 5/5 : ENTRYPOINT ["hatch"]
Step #1 - "build-hatch-image":  ---> Using cache
Step #1 - "build-hatch-image":  ---> f10f2aa7d274
Step #1 - "build-hatch-image": Successfully built f10f2aa7d274
Step #1 - "build-hatch-image": Successfully tagged us-docker.pkg.dev/kaggle-cicd/tools/cli-builder:3.14.4
Finished Step #1 - "build-hatch-image"
Starting Step #2 - "lint"
Step #2 - "lint": Already have image (with digest): us-docker.pkg.dev/kaggle-cicd/tools/cli-builder:3.14.4
Step #2 - "lint": Creating environment: lint
Step #2 - "lint": Checking dependencies
Step #2 - "lint": Syncing dependencies
Step #2 - "lint": cmd [1] | black --check --diff .
Step #2 - "lint": Skipping .ipynb files as Jupyter dependencies are not installed.
Step #2 - "lint": You can fix this by running ``pip install "black[jupyter]"``
Step #2 - "lint": All done! ✨ 🍰 ✨
Step #2 - "lint": 22 files would be left unchanged.
Step #2 - "lint": cmd [2] | mypy --install-types --non-interactive src/kaggle tests
Step #2 - "lint": Collecting types-PySocks
Step #2 - "lint":   Downloading types_pysocks-1.7.1.20260518-py3-none-any.whl.metadata (1.7 kB)
Step #2 - "lint": Collecting types-Pygments
Step #2 - "lint":   Downloading types_pygments-2.20.0.20260518-py3-none-any.whl.metadata (2.0 kB)
Step #2 - "lint": Collecting types-bleach
Step #2 - "lint":   Downloading types_bleach-6.3.0.20260508-py3-none-any.whl.metadata (1.7 kB)
Step #2 - "lint": Collecting types-pexpect
Step #2 - "lint":   Downloading types_pexpect-4.9.0.20260518-py3-none-any.whl.metadata (1.7 kB)
Step #2 - "lint": Collecting types-protobuf
Step #2 - "lint":   Downloading types_protobuf-7.34.1.20260518-py3-none-any.whl.metadata (2.2 kB)
Step #2 - "lint": Collecting types-python-dateutil
Step #2 - "lint":   Downloading types_python_dateutil-2.9.0.20260518-py3-none-any.whl.metadata (1.8 kB)
Step #2 - "lint": Collecting types-six
Step #2 - "lint":   Downloading types_six-1.17.0.20260518-py3-none-any.whl.metadata (1.7 kB)
Step #2 - "lint": Collecting types-docutils (from types-Pygments)
Step #2 - "lint":   Downloading types_docutils-0.22.3.20260518-py3-none-any.whl.metadata (1.7 kB)
Step #2 - "lint": Collecting types-html5lib (from types-bleach)
Step #2 - "lint":   Downloading types_html5lib-1.1.11.20260518-py3-none-any.whl.metadata (1.8 kB)
Step #2 - "lint": Collecting types-webencodings (from types-html5lib->types-bleach)
Step #2 - "lint":   Downloading types_webencodings-0.5.0.20260408-py3-none-any.whl.metadata (1.8 kB)
Step #2 - "lint": Downloading types_pysocks-1.7.1.20260518-py3-none-any.whl (9.6 kB)
Step #2 - "lint": Downloading types_pygments-2.20.0.20260518-py3-none-any.whl (29 kB)
Step #2 - "lint": Downloading types_bleach-6.3.0.20260508-py3-none-any.whl (11 kB)
Step #2 - "lint": Downloading types_pexpect-4.9.0.20260518-py3-none-any.whl (17 kB)
Step #2 - "lint": Downloading types_protobuf-7.34.1.20260518-py3-none-any.whl (85 kB)
Step #2 - "lint": Downloading types_python_dateutil-2.9.0.20260518-py3-none-any.whl (18 kB)
Step #2 - "lint": Downloading types_six-1.17.0.20260518-py3-none-any.whl (19 kB)
Step #2 - "lint": Downloading types_docutils-0.22.3.20260518-py3-none-any.whl (91 kB)
Step #2 - "lint": Downloading types_html5lib-1.1.11.20260518-py3-none-any.whl (24 kB)
Step #2 - "lint": Downloading types_webencodings-0.5.0.20260408-py3-none-any.whl (8.7 kB)
Step #2 - "lint": Installing collected packages: types-webencodings, types-six, types-python-dateutil, types-PySocks, types-protobuf, types-pexpect, types-docutils, types-Pygments, types-html5lib, types-bleach
Step #2 - "lint": 
Step #2 - "lint": Successfully installed types-PySocks-1.7.1.20260518 types-Pygments-2.20.0.20260518 types-bleach-6.3.0.20260508 types-docutils-0.22.3.20260518 types-html5lib-1.1.11.20260518 types-pexpect-4.9.0.20260518 types-protobuf-7.34.1.20260518 types-python-dateutil-2.9.0.20260518 types-six-1.17.0.20260518 types-webencodings-0.5.0.20260408
Step #2 - "lint": Installing missing stub packages:
Step #2 - "lint": /builder/home/.local/share/hatch/env/virtual/kaggle/xS3fZVNL/lint/bin/python -m pip install types-PySocks types-Pygments types-bleach types-pexpect types-protobuf types-python-dateutil types-six
Step #2 - "lint": 
Step #2 - "lint": 
Step #2 - "lint": Success: no issues found in 19 source files
Step #2 - "lint": src/kaggle/api/kaggle_api_extended.py:5106: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs  [annotation-unchecked]
Step #2 - "lint": src/kaggle/api/kaggle_api_extended.py:5541: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs  [annotation-unchecked]
Finished Step #2 - "lint"
PUSH
Pushing us-docker.pkg.dev/kaggle-cicd/tools/cli-builder
The push refers to repository [us-docker.pkg.dev/kaggle-cicd/tools/cli-builder]
4bf1327cdff7: Preparing
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7bcd5e8a1f82: Preparing
5222f025e44a: Preparing
45eac910f111: Layer already exists
524a6050e1b0: Layer already exists
f2035bbaa17a: Layer already exists
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5222f025e44a: Layer already exists
ecd5d2f703c7: Layer already exists
4bf1327cdff7: Layer already exists
7a62aa367de8: Layer already exists
4d2414aceaa7: Layer already exists
3.14.4: digest: sha256:ccea151b22526fc1d18472d77ac8d5f46e102a9ff6e78153c97fe5f88e5d34df size: 2219
DONE

Build Log: https://console.cloud.google.com/cloud-build/builds/37d722a9-63c8-4f7d-b5e8-e109cc1e9f23?project=464139560241