Spaces:
Sleeping
Sleeping
| # 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. | |
| """ | |
| import collections | |
| import math | |
| _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 obj.decode(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 collections.OrderedDict( | |
| (Cleanse(k, encoding), Cleanse(v, encoding)) for k, v in obj.items() | |
| ) | |
| else: | |
| return obj | |