/usr/lib/python3/dist-packages/gnocchi/json.py is in python3-gnocchi 4.2.0-0ubuntu5.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | # -*- encoding: utf-8 -*-
#
# Copyright © 2015-2017 Red Hat, Inc.
#
# 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.
import datetime
import uuid
import numpy
import six
import ujson
def to_primitive(obj):
if isinstance(obj, ((six.text_type,)
+ six.integer_types
+ (type(None), bool, float))):
return obj
if isinstance(obj, uuid.UUID):
return six.text_type(obj)
if isinstance(obj, datetime.datetime):
return obj.isoformat()
if isinstance(obj, numpy.datetime64):
# Do not include nanoseconds if null
return str(obj).rpartition(".000000000")[0] + "+00:00"
if isinstance(obj, numpy.timedelta64):
return obj / numpy.timedelta64(1, 's')
if isinstance(obj, datetime.timedelta):
return obj.total_seconds()
# This mimics what Pecan implements in its default JSON encoder
if hasattr(obj, "jsonify"):
return to_primitive(obj.jsonify())
if isinstance(obj, dict):
return {to_primitive(k): to_primitive(v)
for k, v in obj.items()}
if hasattr(obj, 'iteritems'):
return to_primitive(dict(obj.iteritems()))
# Python 3 does not have iteritems
if hasattr(obj, 'items'):
return to_primitive(dict(obj.items()))
if hasattr(obj, '__iter__'):
return list(map(to_primitive, obj))
return obj
def dumps(obj):
return ujson.dumps(to_primitive(obj))
# For convenience
loads = ujson.loads
load = ujson.load
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