spark-instrumented-optimizer/python/pyspark/resource/information.py
zero323 52073ef8ac [SPARK-33254][PYTHON][DOCS] Migration to NumPy documentation style in Core (pyspark.*, pyspark.resource.*, etc.)
### What changes were proposed in this pull request?

This PR proposes migration of Core to NumPy documentation style.

### Why are the changes needed?

To improve documentation style.

### Does this PR introduce _any_ user-facing change?

Yes, this changes both rendered HTML docs and console representation (SPARK-33243).

### How was this patch tested?

dev/lint-python and manual inspection.

Closes #30320 from zero323/SPARK-33254.

Authored-by: zero323 <mszymkiewicz@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2020-11-16 10:21:50 +09:00

52 lines
1.6 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.
#
class ResourceInformation(object):
"""
Class to hold information about a type of Resource. A resource could be a GPU, FPGA, etc.
The array of addresses are resource specific and its up to the user to interpret the address.
One example is GPUs, where the addresses would be the indices of the GPUs
.. versionadded:: 3.0.0
Parameters
----------
name : str
the name of the resource
addresses : list
an array of strings describing the addresses of the resource
Notes
-----
This API is evolving.
"""
def __init__(self, name, addresses):
self._name = name
self._addresses = addresses
@property
def name(self):
return self._name
@property
def addresses(self):
return self._addresses