31a16fbb40
### What changes were proposed in this pull request? This PR proposes migration of [`pyspark-stubs`](https://github.com/zero323/pyspark-stubs) into Spark codebase. ### Why are the changes needed? ### Does this PR introduce _any_ user-facing change? Yes. This PR adds type annotations directly to Spark source. This can impact interaction with development tools for users, which haven't used `pyspark-stubs`. ### How was this patch tested? - [x] MyPy tests of the PySpark source ``` mypy --no-incremental --config python/mypy.ini python/pyspark ``` - [x] MyPy tests of Spark examples ``` MYPYPATH=python/ mypy --no-incremental --config python/mypy.ini examples/src/main/python/ml examples/src/main/python/sql examples/src/main/python/sql/streaming ``` - [x] Existing Flake8 linter - [x] Existing unit tests Tested against: - `mypy==0.790+dev.e959952d9001e9713d329a2f9b196705b028f894` - `mypy==0.782` Closes #29591 from zero323/SPARK-32681. Authored-by: zero323 <mszymkiewicz@gmail.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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from pyspark.ml import ( # noqa: F401
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classification as classification,
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clustering as clustering,
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evaluation as evaluation,
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feature as feature,
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fpm as fpm,
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image as image,
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linalg as linalg,
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param as param,
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recommendation as recommendation,
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regression as regression,
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stat as stat,
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tuning as tuning,
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util as util,
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)
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from pyspark.ml.base import ( # noqa: F401
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Estimator as Estimator,
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Model as Model,
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PredictionModel as PredictionModel,
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Predictor as Predictor,
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Transformer as Transformer,
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UnaryTransformer as UnaryTransformer,
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)
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from pyspark.ml.pipeline import ( # noqa: F401
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Pipeline as Pipeline,
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PipelineModel as PipelineModel,
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)
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