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