Coverage for skema/gromet/metadata/text_grounding.py: 42%

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1# coding: utf-8 

2 

3""" 

4 GroMEt Metadata spec 

5 

6 Grounded Model Exchange (GroMEt) Metadata schema specification __Using Swagger to Generate Class Structure__ To automatically generate Python or Java models corresponding to this document, you can use [swagger-codegen](https://swagger.io/tools/swagger-codegen/). We can use this to generate client code based off of this spec that will also generate the class structure. 1. Install via the method described for your operating system [here](https://github.com/swagger-api/swagger-codegen#Prerequisites). Make sure to install a version after 3.0 that will support openapi 3. 2. Run swagger-codegen with the options in the example below. The URL references where the yaml for this documentation is stored on github. Make sure to replace CURRENT_VERSION with the correct version. (The current version is `0.1.4`.) To generate Java classes rather, change the `-l python` to `-l java`. Change the value to the `-o` option to the desired output location. ``` swagger-codegen generate -l python -o ./client -i https://raw.githubusercontent.com/ml4ai/automates-v2/master/docs/source/gromet_metadata_v{CURRENT_VERSION}.yaml ``` 3. Once it executes, the client code will be generated at your specified location. For python, the classes will be located in `$OUTPUT_PATH/swagger_client/models/`. For java, they will be located in `$OUTPUT_PATH/src/main/java/io/swagger/client/model/` If generating GroMEt Metadata schema data model classes in SKEMA (AutoMATES), then after generating the above, follow the instructions here: ``` <automates>/automates/model_assembly/gromet/metadata/README.md ``` # noqa: E501 

7 

8 OpenAPI spec version: 0.1.8 

9 Contact: claytonm@arizona.edu 

10 Generated by: https://github.com/swagger-api/swagger-codegen.git 

11""" 

12 

13import pprint 

14import re # noqa: F401 

15 

16import six 

17 

18class TextGrounding(object): 

19 """NOTE: This class is auto generated by the swagger code generator program. 

20 

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 'gromet_type': 'str', 

32 'argument_name': 'str', 

33 'id': 'str', 

34 'description': 'str', 

35 'score': 'float' 

36 } 

37 

38 attribute_map = { 

39 'gromet_type': 'gromet_type', 

40 'argument_name': 'argument_name', 

41 'id': 'id', 

42 'description': 'description', 

43 'score': 'score' 

44 } 

45 

46 def __init__(self, gromet_type='TextGrounding', argument_name=None, id=None, description=None, score=None): # noqa: E501 

47 """TextGrounding - a model defined in Swagger""" # noqa: E501 

48 self._gromet_type = None 

49 self._argument_name = None 

50 self._id = None 

51 self._description = None 

52 self._score = None 

53 self.discriminator = None 

54 if gromet_type is not None: 

55 self.gromet_type = gromet_type 

56 if argument_name is not None: 

57 self.argument_name = argument_name 

58 if id is not None: 

59 self.id = id 

60 if description is not None: 

61 self.description = description 

62 if score is not None: 

63 self.score = score 

64 

65 @property 

66 def gromet_type(self): 

67 """Gets the gromet_type of this TextGrounding. # noqa: E501 

68 

69 

70 :return: The gromet_type of this TextGrounding. # noqa: E501 

71 :rtype: str 

72 """ 

73 return self._gromet_type 

74 

75 @gromet_type.setter 

76 def gromet_type(self, gromet_type): 

77 """Sets the gromet_type of this TextGrounding. 

78 

79 

80 :param gromet_type: The gromet_type of this TextGrounding. # noqa: E501 

81 :type: str 

82 """ 

83 

84 self._gromet_type = gromet_type 

85 

86 @property 

87 def argument_name(self): 

88 """Gets the argument_name of this TextGrounding. # noqa: E501 

89 

90 

91 :return: The argument_name of this TextGrounding. # noqa: E501 

92 :rtype: str 

93 """ 

94 return self._argument_name 

95 

96 @argument_name.setter 

97 def argument_name(self, argument_name): 

98 """Sets the argument_name of this TextGrounding. 

99 

100 

101 :param argument_name: The argument_name of this TextGrounding. # noqa: E501 

102 :type: str 

103 """ 

104 

105 self._argument_name = argument_name 

106 

107 @property 

108 def id(self): 

109 """Gets the id of this TextGrounding. # noqa: E501 

110 

111 

112 :return: The id of this TextGrounding. # noqa: E501 

113 :rtype: str 

114 """ 

115 return self._id 

116 

117 @id.setter 

118 def id(self, id): 

119 """Sets the id of this TextGrounding. 

120 

121 

122 :param id: The id of this TextGrounding. # noqa: E501 

123 :type: str 

124 """ 

125 

126 self._id = id 

127 

128 @property 

129 def description(self): 

130 """Gets the description of this TextGrounding. # noqa: E501 

131 

132 

133 :return: The description of this TextGrounding. # noqa: E501 

134 :rtype: str 

135 """ 

136 return self._description 

137 

138 @description.setter 

139 def description(self, description): 

140 """Sets the description of this TextGrounding. 

141 

142 

143 :param description: The description of this TextGrounding. # noqa: E501 

144 :type: str 

145 """ 

146 

147 self._description = description 

148 

149 @property 

150 def score(self): 

151 """Gets the score of this TextGrounding. # noqa: E501 

152 

153 

154 :return: The score of this TextGrounding. # noqa: E501 

155 :rtype: float 

156 """ 

157 return self._score 

158 

159 @score.setter 

160 def score(self, score): 

161 """Sets the score of this TextGrounding. 

162 

163 

164 :param score: The score of this TextGrounding. # noqa: E501 

165 :type: float 

166 """ 

167 

168 self._score = score 

169 

170 def to_dict(self): 

171 """Returns the model properties as a dict""" 

172 result = {} 

173 

174 for attr, _ in six.iteritems(self.swagger_types): 

175 value = getattr(self, attr) 

176 if isinstance(value, list): 

177 result[attr] = list(map( 

178 lambda x: x.to_dict() if hasattr(x, "to_dict") else x, 

179 value 

180 )) 

181 elif hasattr(value, "to_dict"): 

182 result[attr] = value.to_dict() 

183 elif isinstance(value, dict): 

184 result[attr] = dict(map( 

185 lambda item: (item[0], item[1].to_dict()) 

186 if hasattr(item[1], "to_dict") else item, 

187 value.items() 

188 )) 

189 else: 

190 result[attr] = value 

191 if issubclass(TextGrounding, dict): 

192 for key, value in self.items(): 

193 result[key] = value 

194 

195 return result 

196 

197 def to_str(self): 

198 """Returns the string representation of the model""" 

199 return pprint.pformat(self.to_dict()) 

200 

201 def __repr__(self): 

202 """For `print` and `pprint`""" 

203 return self.to_str() 

204 

205 def __eq__(self, other): 

206 """Returns true if both objects are equal""" 

207 if not isinstance(other, TextGrounding): 

208 return False 

209 

210 return self.__dict__ == other.__dict__ 

211 

212 def __ne__(self, other): 

213 """Returns true if both objects are not equal""" 

214 return not self == other