StrictDiffer
Bases: AbstractDiffer
Source code in library_analyzer/processing/migration/model/_strict_differ.py
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 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 |
|
differ = previous_base_differ
instance-attribute
¶
new_mappings = []
instance-attribute
¶
__init__(previous_base_differ, previous_mappings, apiv1, apiv2)
¶
Source code in library_analyzer/processing/migration/model/_strict_differ.py
compute_attribute_similarity(attributev1, attributev2)
¶
Computes similarity between attributes from apiv1 and apiv2. :param attributev1: attribute from apiv1 :param attributev2: attribute from apiv2 :return: if their parents are mapped together, the similarity of the previous differ, or else 0.
Source code in library_analyzer/processing/migration/model/_strict_differ.py
compute_class_similarity(classv1, classv2)
¶
Computes similarity between classes from apiv1 and apiv2 :param classv1: class from apiv1 :param classv2: class from apiv2 :return: if the classes are mapped together, the similarity of the previous differ, or else 0.
Source code in library_analyzer/processing/migration/model/_strict_differ.py
compute_function_similarity(functionv1, functionv2)
¶
Computes similarity between functions from apiv1 and apiv2. :param functionv1: function from apiv1 :param functionv2: function from apiv2 :return: if their parents are mapped together, the similarity of the previous differ, or else 0.
Source code in library_analyzer/processing/migration/model/_strict_differ.py
compute_parameter_similarity(parameterv1, parameterv2)
¶
Computes similarity between parameters from apiv1 and apiv2. :param parameterv1: parameter from apiv1 :param parameterv2: parameter from apiv2 :return: if their parents are mapped together, the similarity of the previous differ, or else 0.
Source code in library_analyzer/processing/migration/model/_strict_differ.py
compute_result_similarity(resultv1, resultv2)
¶
Computes similarity between results from apiv1 and apiv2. :param resultv1: result from apiv1 :param resultv2: result from apiv2 :return: if their parents are mapped together, the similarity of the previous differ, or else 0.