spark-instrumented-optimizer/python/pyspark/resource/profile.pyi

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#
# 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 pyspark.resource.requests import ( # noqa: F401
ExecutorResourceRequest as ExecutorResourceRequest,
ExecutorResourceRequests as ExecutorResourceRequests,
TaskResourceRequest as TaskResourceRequest,
TaskResourceRequests as TaskResourceRequests,
)
from typing import Any, Optional
class ResourceProfile:
def __init__(
self,
_java_resource_profile: Optional[Any] = ...,
_exec_req: Any = ...,
_task_req: Any = ...,
) -> None: ...
@property
def id(self): ...
@property
def taskResources(self): ...
@property
def executorResources(self): ...
class ResourceProfileBuilder:
def __init__(self) -> None: ...
def require(self, resourceRequest: Any): ...
def clearExecutorResourceRequests(self) -> None: ...
def clearTaskResourceRequests(self) -> None: ...
@property
def taskResources(self): ...
@property
def executorResources(self): ...
@property
def build(self): ...