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>
70 lines
3 KiB
Python
70 lines
3 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# 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, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import unittest
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from pyspark.ml.pipeline import Pipeline
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from pyspark.testing.mlutils import MockDataset, MockEstimator, MockTransformer, PySparkTestCase
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class PipelineTests(PySparkTestCase):
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def test_pipeline(self):
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dataset = MockDataset()
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estimator0 = MockEstimator()
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transformer1 = MockTransformer()
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estimator2 = MockEstimator()
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transformer3 = MockTransformer()
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pipeline = Pipeline(stages=[estimator0, transformer1, estimator2, transformer3])
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pipeline_model = pipeline.fit(dataset, {estimator0.fake: 0, transformer1.fake: 1})
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model0, transformer1, model2, transformer3 = pipeline_model.stages
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self.assertEqual(0, model0.dataset_index)
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self.assertEqual(0, model0.getFake())
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self.assertEqual(1, transformer1.dataset_index)
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self.assertEqual(1, transformer1.getFake())
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self.assertEqual(2, dataset.index)
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self.assertIsNone(model2.dataset_index, "The last model shouldn't be called in fit.")
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self.assertIsNone(transformer3.dataset_index,
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"The last transformer shouldn't be called in fit.")
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dataset = pipeline_model.transform(dataset)
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self.assertEqual(2, model0.dataset_index)
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self.assertEqual(3, transformer1.dataset_index)
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self.assertEqual(4, model2.dataset_index)
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self.assertEqual(5, transformer3.dataset_index)
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self.assertEqual(6, dataset.index)
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def test_identity_pipeline(self):
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dataset = MockDataset()
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def doTransform(pipeline):
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pipeline_model = pipeline.fit(dataset)
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return pipeline_model.transform(dataset)
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# check that empty pipeline did not perform any transformation
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self.assertEqual(dataset.index, doTransform(Pipeline(stages=[])).index)
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# check that failure to set stages param will raise KeyError for missing param
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self.assertRaises(KeyError, lambda: doTransform(Pipeline()))
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if __name__ == "__main__":
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from pyspark.ml.tests.test_pipeline import * # noqa: F401
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try:
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import xmlrunner # type: ignore[import]
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
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except ImportError:
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testRunner = None
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unittest.main(testRunner=testRunner, verbosity=2)
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