665817bd4f
### What changes were proposed in this pull request? This pull request: - Adds following flags to the main mypy configuration: - [`strict_optional`](https://mypy.readthedocs.io/en/stable/config_file.html#confval-strict_optional) - [`no_implicit_optional`](https://mypy.readthedocs.io/en/stable/config_file.html#confval-no_implicit_optional) - [`disallow_untyped_defs`](https://mypy.readthedocs.io/en/stable/config_file.html#confval-disallow_untyped_calls) These flags are enabled only for public API and disabled for tests and internal modules. Additionally, these PR fixes missing annotations. ### Why are the changes needed? Primary reason to propose this changes is to use standard configuration as used by typeshed project. This will allow us to be more strict, especially when interacting with JVM code. See for example https://github.com/apache/spark/pull/29122#pullrequestreview-513112882 Additionally, it will allow us to detect cases where annotations have unintentionally omitted. ### Does this PR introduce _any_ user-facing change? Annotations only. ### How was this patch tested? `dev/lint-python`. Closes #30382 from zero323/SPARK-33457. Authored-by: zero323 <mszymkiewicz@gmail.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
98 lines
3.7 KiB
Python
98 lines
3.7 KiB
Python
#
|
|
# Licensed to the Apache Software Foundation (ASF) under one
|
|
# or more contributor license agreements. See the NOTICE file
|
|
# distributed with this work for additional information
|
|
# regarding copyright ownership. The ASF licenses this file
|
|
# to you under the Apache License, Version 2.0 (the
|
|
# "License"); you may not use this file except in compliance
|
|
# with the License. You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing,
|
|
# software distributed under the License is distributed on an
|
|
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
|
|
# KIND, either express or implied. See the License for the
|
|
# specific language governing permissions and limitations
|
|
# under the License.
|
|
|
|
from typing import Any, Dict, List, Optional, Tuple, Type, Union
|
|
|
|
from pyspark.ml._typing import PipelineStage
|
|
from pyspark.context import SparkContext
|
|
from pyspark.ml.base import Estimator, Model, Transformer
|
|
from pyspark.ml.param import Param
|
|
from pyspark.ml.util import ( # noqa: F401
|
|
DefaultParamsReader as DefaultParamsReader,
|
|
DefaultParamsWriter as DefaultParamsWriter,
|
|
JavaMLReader as JavaMLReader,
|
|
JavaMLWritable as JavaMLWritable,
|
|
JavaMLWriter as JavaMLWriter,
|
|
MLReadable as MLReadable,
|
|
MLReader as MLReader,
|
|
MLWritable as MLWritable,
|
|
MLWriter as MLWriter,
|
|
)
|
|
|
|
class Pipeline(Estimator[PipelineModel], MLReadable[Pipeline], MLWritable):
|
|
stages: List[PipelineStage]
|
|
def __init__(self, *, stages: Optional[List[PipelineStage]] = ...) -> None: ...
|
|
def setStages(self, stages: List[PipelineStage]) -> Pipeline: ...
|
|
def getStages(self) -> List[PipelineStage]: ...
|
|
def setParams(self, *, stages: Optional[List[PipelineStage]] = ...) -> Pipeline: ...
|
|
def copy(self, extra: Optional[Dict[Param, str]] = ...) -> Pipeline: ...
|
|
def write(self) -> JavaMLWriter: ...
|
|
def save(self, path: str) -> None: ...
|
|
@classmethod
|
|
def read(cls) -> PipelineReader: ...
|
|
|
|
class PipelineWriter(MLWriter):
|
|
instance: Pipeline
|
|
def __init__(self, instance: Pipeline) -> None: ...
|
|
def saveImpl(self, path: str) -> None: ...
|
|
|
|
class PipelineReader(MLReader[Pipeline]):
|
|
cls: Type[Pipeline]
|
|
def __init__(self, cls: Type[Pipeline]) -> None: ...
|
|
def load(self, path: str) -> Pipeline: ...
|
|
|
|
class PipelineModelWriter(MLWriter):
|
|
instance: PipelineModel
|
|
def __init__(self, instance: PipelineModel) -> None: ...
|
|
def saveImpl(self, path: str) -> None: ...
|
|
|
|
class PipelineModelReader(MLReader[PipelineModel]):
|
|
cls: Type[PipelineModel]
|
|
def __init__(self, cls: Type[PipelineModel]) -> None: ...
|
|
def load(self, path: str) -> PipelineModel: ...
|
|
|
|
class PipelineModel(Model, MLReadable[PipelineModel], MLWritable):
|
|
stages: List[PipelineStage]
|
|
def __init__(self, stages: List[Transformer]) -> None: ...
|
|
def copy(self, extra: Optional[Dict[Param, Any]] = ...) -> PipelineModel: ...
|
|
def write(self) -> JavaMLWriter: ...
|
|
def save(self, path: str) -> None: ...
|
|
@classmethod
|
|
def read(cls) -> PipelineModelReader: ...
|
|
|
|
class PipelineSharedReadWrite:
|
|
@staticmethod
|
|
def checkStagesForJava(stages: List[PipelineStage]) -> bool: ...
|
|
@staticmethod
|
|
def validateStages(stages: List[PipelineStage]) -> None: ...
|
|
@staticmethod
|
|
def saveImpl(
|
|
instance: Union[Pipeline, PipelineModel],
|
|
stages: List[PipelineStage],
|
|
sc: SparkContext,
|
|
path: str,
|
|
) -> None: ...
|
|
@staticmethod
|
|
def load(
|
|
metadata: Dict[str, Any], sc: SparkContext, path: str
|
|
) -> Tuple[str, List[PipelineStage]]: ...
|
|
@staticmethod
|
|
def getStagePath(
|
|
stageUid: str, stageIdx: int, numStages: int, stagesDir: str
|
|
) -> str: ...
|