Code Coverage

Cobertura Coverage Report > osm_nbi >

utils.py

Trend

Classes100%
 
Lines87%
   
Conditionals100%
 

File Coverage summary

NameClassesLinesConditionals
utils.py
100%
1/1
87%
26/30
100%
0/0

Coverage Breakdown by Class

NameLinesConditionals
utils.py
87%
26/30
N/A

Source

osm_nbi/utils.py
1 # -*- coding: utf-8 -*-
2
3 # Copyright 2020 Whitestack, LLC
4 # *************************************************************
5 #
6 # This file is part of OSM NBI module
7 # All Rights Reserved to Whitestack, LLC
8 #
9 # Licensed under the Apache License, Version 2.0 (the "License"); you may
10 # not use this file except in compliance with the License. You may obtain
11 # a copy of the License at
12 #
13 #         http://www.apache.org/licenses/LICENSE-2.0
14 #
15 # Unless required by applicable law or agreed to in writing, software
16 # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
17 # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
18 # License for the specific language governing permissions and limitations
19 # under the License.
20 #
21 # For those usages not covered by the Apache License, Version 2.0 please
22 # contact: fbravo@whitestack.com or agarcia@whitestack.com
23 ##
24
25
26 1 def find_in_list(the_list, condition_lambda):
27 1     for item in the_list:
28 1         if condition_lambda(item):
29 1             return item
30     else:
31 1         return None
32
33
34 1 def filter_in_list(the_list, condition_lambda):
35 1     ret = []
36 1     for item in the_list:
37 1         if condition_lambda(item):
38 1             ret.append(item)
39 1     return ret
40
41
42 1 def find_index_in_list(the_list, condition_lambda):
43 0     for index, item in enumerate(the_list):
44 0         if condition_lambda(item):
45 0             return index
46     else:
47 0         return -1
48
49
50 1 def deep_update_dict(data, updated_data):
51 1     if isinstance(data, list):
52 1         processed_items_data = []
53 1         for index, item in enumerate(data):
54 1             processed_items_data.append(deep_update_dict(item, updated_data[index]))
55 1         return processed_items_data
56
57 1     if isinstance(data, dict):
58 1         for key in data.keys():
59 1             if key in updated_data:
60 1                 if not isinstance(data[key], dict) and not isinstance(data[key], list):
61 1                     data[key] = updated_data[key]
62                 else:
63 1                     data[key] = deep_update_dict(data[key], updated_data[key])
64 1         return data
65
66 1     return data