Coverage for fingerprint_pro_server_api_sdk/models/confidence.py: 48%
46 statements
« prev ^ index » next coverage.py v7.4.4, created at 2024-03-27 22:39 +0000
« prev ^ index » next coverage.py v7.4.4, created at 2024-03-27 22:39 +0000
1# coding: utf-8
3"""
4 Fingerprint Pro Server API
6 Fingerprint Pro Server API allows you to get information about visitors and about individual events in a server environment. It can be used for data exports, decision-making, and data analysis scenarios. Server API is intended for server-side usage, it's not intended to be used from the client side, whether it's a browser or a mobile device. # noqa: E501
8 OpenAPI spec version: 3
9 Contact: support@fingerprint.com
10 Generated by: https://github.com/swagger-api/swagger-codegen.git
11"""
13import pprint
14import re # noqa: F401
16import six
18class Confidence(object):
19 """NOTE: This class is auto generated by the swagger code generator program.
21 Do not edit the class manually.
22 """
23 """
24 Attributes:
25 swagger_types (dict): The key is attribute name
26 and the value is attribute type.
27 attribute_map (dict): The key is attribute name
28 and the value is json key in definition.
29 """
30 swagger_types = {
31 'score': 'float'
32 }
34 attribute_map = {
35 'score': 'score'
36 }
38 def __init__(self, score=None): # noqa: E501
39 """Confidence - a model defined in Swagger""" # noqa: E501
40 self._score = None
41 self.discriminator = None
42 self.score = score
44 @property
45 def score(self):
46 """Gets the score of this Confidence. # noqa: E501
48 The confidence score is a floating-point number between 0 and 1 that represents the probability of accurate identification. # noqa: E501
50 :return: The score of this Confidence. # noqa: E501
51 :rtype: float
52 """
53 return self._score
55 @score.setter
56 def score(self, score):
57 """Sets the score of this Confidence.
59 The confidence score is a floating-point number between 0 and 1 that represents the probability of accurate identification. # noqa: E501
61 :param score: The score of this Confidence. # noqa: E501
62 :type: float
63 """
64 if score is None:
65 raise ValueError("Invalid value for `score`, must not be `None`") # noqa: E501
67 self._score = score
69 def to_dict(self):
70 """Returns the model properties as a dict"""
71 result = {}
73 for attr, _ in six.iteritems(self.swagger_types):
74 value = getattr(self, attr)
75 if isinstance(value, list):
76 result[attr] = list(map(
77 lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
78 value
79 ))
80 elif hasattr(value, "to_dict"):
81 result[attr] = value.to_dict()
82 elif isinstance(value, dict):
83 result[attr] = dict(map(
84 lambda item: (item[0], item[1].to_dict())
85 if hasattr(item[1], "to_dict") else item,
86 value.items()
87 ))
88 else:
89 result[attr] = value
90 if issubclass(Confidence, dict):
91 for key, value in self.items():
92 result[key] = value
94 return result
96 def to_str(self):
97 """Returns the string representation of the model"""
98 return pprint.pformat(self.to_dict())
100 def __repr__(self):
101 """For `print` and `pprint`"""
102 return self.to_str()
104 def __eq__(self, other):
105 """Returns true if both objects are equal"""
106 if not isinstance(other, Confidence):
107 return False
109 return self.to_dict() == other.to_dict()
111 def __ne__(self, other):
112 """Returns true if both objects are not equal"""
113 if not isinstance(other, Confidence):
114 return True
116 return self.to_dict() != other.to_dict()