55 lines
2 KiB
Python
55 lines
2 KiB
Python
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#
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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 typing import Any, Dict, Iterator, Optional, Tuple, TypeVar
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T = TypeVar("T")
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U = TypeVar("U")
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K = TypeVar("K")
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V = TypeVar("V")
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class RDDSamplerBase:
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def __init__(self, withReplacement: bool, seed: Optional[int] = ...) -> None: ...
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def initRandomGenerator(self, split: int) -> None: ...
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def getUniformSample(self) -> float: ...
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def getPoissonSample(self, mean: float) -> int: ...
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def func(self, split: int, iterator: Iterator[Any]) -> Iterator[Any]: ...
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class RDDSampler(RDDSamplerBase):
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def __init__(
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self, withReplacement: bool, fraction: float, seed: Optional[int] = ...
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) -> None: ...
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def func(self, split: int, iterator: Iterator[T]) -> Iterator[T]: ...
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class RDDRangeSampler(RDDSamplerBase):
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def __init__(
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self, lowerBound: T, upperBound: T, seed: Optional[Any] = ...
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) -> None: ...
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def func(self, split: int, iterator: Iterator[T]) -> Iterator[T]: ...
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class RDDStratifiedSampler(RDDSamplerBase):
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def __init__(
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self,
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withReplacement: bool,
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fractions: Dict[K, float],
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seed: Optional[int] = ...,
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) -> None: ...
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def func(
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self, split: int, iterator: Iterator[Tuple[K, V]]
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) -> Iterator[Tuple[K, V]]: ...
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