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build(datasets): Add official support for python 3.13 #938

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build(datasets): Add official support for python 3.13 #938

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9d7ce65
add python3.13 support on datasets
ravi-kumar-pilla Nov 21, 2024
f4b8248
skip tensorfolow for py313 (#951)
noklam Nov 28, 2024
873f8c8
Merge branch 'main' into datasets-3.13
noklam Nov 28, 2024
cf8fa7a
build(datasets): fix rioxarray dependency spelling
deepyaman Nov 28, 2024
4c276a1
fix dependencies, networkx and import-linter both depends on grimp
noklam Nov 29, 2024
f44037f
relax more dependencies
noklam Nov 29, 2024
ba132e8
Merge branch 'main' into datasets-3.13
ravi-kumar-pilla Dec 2, 2024
111fe91
Merge branch 'main' into datasets-3.13
ravi-kumar-pilla Dec 3, 2024
7ba66a4
merge main
ravi-kumar-pilla Dec 9, 2024
3161627
merge main and test ci
ravi-kumar-pilla Dec 17, 2024
77f06bd
relax requirements for python 3.13 support
ravi-kumar-pilla Dec 17, 2024
3730a05
testing 3.13
ravi-kumar-pilla Dec 17, 2024
1083cb7
Merge branch 'main' of https://github.com/kedro-org/kedro-plugins int…
ravi-kumar-pilla Dec 17, 2024
dbb7cb6
revert s3fs dep
ravi-kumar-pilla Dec 17, 2024
2fd26a2
revert dep relaxations
ravi-kumar-pilla Dec 17, 2024
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2 changes: 1 addition & 1 deletion .github/workflows/kedro-datasets.yml
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Expand Up @@ -22,7 +22,7 @@ jobs:
strategy:
matrix:
os: [ ubuntu-latest, windows-latest ]
python-version: [ "3.10", "3.11", "3.12" ]
python-version: [ "3.10", "3.11", "3.12", "3.13" ]
uses: ./.github/workflows/unit-tests.yml
with:
plugin: kedro-datasets
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1 change: 1 addition & 0 deletions kedro-datasets/RELEASE.md
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@@ -1,6 +1,7 @@
# Upcoming Release 6.0.0

## Major features and improvements
- Added support for Python 3.13
- Added functionality to save Pandas DataFrame directly to Snowflake, facilitating seemless `.csv` ingestion
- Added Python 3.9, 3.10 and 3.11 support for SnowflakeTableDataset
- Added the following new **experimental** datasets:
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6 changes: 3 additions & 3 deletions kedro-datasets/pyproject.toml
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Expand Up @@ -186,7 +186,7 @@ prophet = ["kedro-datasets[prophet]"]
pytorch-dataset = ["torch"]
pytorch = ["kedro-datasets[pytorch-dataset]"]

rioxarray-geotiffdataset = ["rioxarray>=0.15.0"]
rioxarray-geotiffdataset = ["rioxarraπtey>=0.15.0"]
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rioxarray = ["kedro-datasets[rioxarray-geotiffdataset]"]

safetensors-safetensorsdataset = ["safetensors", "numpy"]
Expand Down Expand Up @@ -257,8 +257,8 @@ test = [
"packaging",
"SQLAlchemy>=1.2",
"tables>=3.6",
"tensorflow-macos~=2.0; platform_system == 'Darwin' and platform_machine == 'arm64'",
"tensorflow~=2.0; platform_system != 'Darwin' or platform_machine != 'arm64'",
"tensorflow-macos~=2.12; platform_system == 'Darwin' and platform_machine == 'arm64' and python_version < '3.13'",
"tensorflow~=2.12; (platform_system != 'Darwin' or platform_machine != 'arm64') and python_version < '3.13'",
"triad>=0.6.7, <1.0",
"xarray>=2023.1.0",
"xlsxwriter~=1.0",
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2 changes: 2 additions & 0 deletions kedro-datasets/tests/tensorflow/test_tensorflow_model_dataset.py
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Expand Up @@ -14,6 +14,8 @@
"TensorFlow tests have become inexplicably flaky in Windows CI",
allow_module_level=True,
)
elif sys.version.minor < 13:
pytest.skip("Tensorflow is not available in Python 3.13 yet")


# In this test module, we wrap tensorflow and TensorFlowModelDataset imports into a module-scoped
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