chore: import upstream snapshot with attribution
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# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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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import logging
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__all__ = []
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def get_logger(name, level, fmt=None):
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"""
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Get logger from logging with given name, level and format without
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setting logging basicConfig. For setting basicConfig in paddle
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will disable basicConfig setting after import paddle.
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Args:
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name (str): The logger name.
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level (logging.LEVEL): The base level of the logger
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fmt (str): Format of logger output
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Returns:
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logging.Logger: logging logger with given settings
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Examples:
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.. code-block:: pycon
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>>> import paddle
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>>> import logging
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>>> from paddle.base import log_helper
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>>> logger = log_helper.get_logger(
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... __name__,
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... logging.INFO,
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... fmt='%(asctime)s-%(levelname)s: %(message)s',
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... )
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"""
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logger = logging.getLogger(name)
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logger.setLevel(level)
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handler = logging.StreamHandler()
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if fmt:
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formatter = logging.Formatter(fmt=fmt, datefmt='%a %b %d %H:%M:%S')
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handler.setFormatter(formatter)
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logger.addHandler(handler)
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# stop propagate for propagating may print
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# log multiple times
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logger.propagate = False
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return logger
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