Coverage for skema/program_analysis/CAST2FN/model/cast/label.py: 59%
49 statements
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« prev ^ index » next coverage.py v7.5.0, created at 2024-04-30 17:15 +0000
1# coding: utf-8
3"""
4 SKEMA Common Abstract Syntax Tree (CAST)
6 This document outlines the structure of the CAST that will be used as a generic representation of the semantics of a program written in any language. This will be used when creating functions networks from programs using the SKEMA Program Analysis pipeline. __Generating 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. 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/cast_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/` # noqa: E501
8 OpenAPI spec version: 1.2.6
10 Generated by: https://github.com/swagger-api/swagger-codegen.git
11"""
13import pprint
14import re # noqa: F401
16import six
17from skema.program_analysis.CAST2FN.model.cast.ast_node import AstNode # noqa: F401,E501
19class Label(AstNode):
20 """NOTE: This class is auto generated by the swagger code generator program.
22 Do not edit the class manually.
23 """
24 """
25 Attributes:
26 swagger_types (dict): The key is attribute name
27 and the value is attribute type.
28 attribute_map (dict): The key is attribute name
29 and the value is json key in definition.
30 """
31 swagger_types = {
32 'label': 'str'
33 }
34 if hasattr(AstNode, "swagger_types"):
35 swagger_types.update(AstNode.swagger_types)
37 attribute_map = {
38 'label': 'label'
39 }
40 if hasattr(AstNode, "attribute_map"):
41 attribute_map.update(AstNode.attribute_map)
43 def __init__(self, label=None, *args, **kwargs): # noqa: E501
44 """Label - a model defined in Swagger""" # noqa: E501
45 self._label = None
46 self.discriminator = None
47 if label is not None:
48 self.label = label
49 AstNode.__init__(self, *args, **kwargs)
51 @property
52 def label(self):
53 """Gets the label of this Label. # noqa: E501
55 The name of the Label. # noqa: E501
57 :return: The label of this Label. # noqa: E501
58 :rtype: str
59 """
60 return self._label
62 @label.setter
63 def label(self, label):
64 """Sets the label of this Label.
66 The name of the Label. # noqa: E501
68 :param label: The label of this Label. # noqa: E501
69 :type: str
70 """
72 self._label = label
74 def to_dict(self):
75 """Returns the model properties as a dict"""
76 result = {}
78 for attr, _ in six.iteritems(self.swagger_types):
79 value = getattr(self, attr)
80 if isinstance(value, list):
81 result[attr] = list(map(
82 lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
83 value
84 ))
85 elif hasattr(value, "to_dict"):
86 result[attr] = value.to_dict()
87 elif isinstance(value, dict):
88 result[attr] = dict(map(
89 lambda item: (item[0], item[1].to_dict())
90 if hasattr(item[1], "to_dict") else item,
91 value.items()
92 ))
93 else:
94 result[attr] = value
95 if issubclass(Label, dict):
96 for key, value in self.items():
97 result[key] = value
99 return result
101 def to_str(self):
102 """Returns the string representation of the model"""
103 return pprint.pformat(self.to_dict())
105 def __repr__(self):
106 """For `print` and `pprint`"""
107 return self.to_str()
109 def __eq__(self, other):
110 """Returns true if both objects are equal"""
111 if not isinstance(other, Label):
112 return False
114 return self.__dict__ == other.__dict__
116 def __ne__(self, other):
117 """Returns true if both objects are not equal"""
118 return not self == other