74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
# Copyright 2015 The TensorFlow 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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# ==============================================================================
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"""A module providing a function for serializing JSON values with Infinity.
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Python provides no way to override how json.dumps serializes
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Infinity/-Infinity/NaN; if allow_nan is true, it encodes them as
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Infinity/-Infinity/NaN, in violation of the JSON spec and in violation of what
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JSON.parse accepts. If it's false, it throws a ValueError, Neither subclassing
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JSONEncoder nor passing a function in the |default| keyword argument overrides
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this.
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"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import math
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import tensorflow as tf
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_INFINITY = float('inf')
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_NEGATIVE_INFINITY = float('-inf')
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def Cleanse(obj, encoding='utf-8'):
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"""Makes Python object appropriate for JSON serialization.
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- Replaces instances of Infinity/-Infinity/NaN with strings.
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- Turns byte strings into unicode strings.
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- Turns sets into sorted lists.
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- Turns tuples into lists.
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Args:
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obj: Python data structure.
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encoding: Charset used to decode byte strings.
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Returns:
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Unicode JSON data structure.
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"""
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if isinstance(obj, int):
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return obj
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elif isinstance(obj, float):
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if obj == _INFINITY:
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return 'Infinity'
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elif obj == _NEGATIVE_INFINITY:
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return '-Infinity'
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elif math.isnan(obj):
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return 'NaN'
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else:
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return obj
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elif isinstance(obj, bytes):
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return tf.compat.as_text(obj, encoding)
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elif isinstance(obj, (list, tuple)):
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return [Cleanse(i, encoding) for i in obj]
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elif isinstance(obj, set):
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return [Cleanse(i, encoding) for i in sorted(obj)]
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elif isinstance(obj, dict):
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return {Cleanse(k, encoding): Cleanse(v, encoding) for k, v in obj.items()}
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else:
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return obj
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