Coverage for skema/program_analysis/CAST2FN/model/cast/model_break.py: 50%

1# coding: utf-8 

2 

3""" 

4 SKEMA Common Abstract Syntax Tree (CAST) 

5 

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 

7 

8 OpenAPI spec version: 1.2.6 

9  

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

11""" 

12 

13import pprint 

14import re # noqa: F401 

15 

16import six 

17from skema.program_analysis.CAST2FN.model.cast.ast_node import AstNode # noqa: F401,E501 

18 

19class ModelBreak(AstNode): 

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

21 

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 } 

33 if hasattr(AstNode, "swagger_types"): 

34 swagger_types.update(AstNode.swagger_types) 

35 

36 attribute_map = { 

37 } 

38 if hasattr(AstNode, "attribute_map"): 

39 attribute_map.update(AstNode.attribute_map) 

40 

41 def __init__(self, *args, **kwargs): # noqa: E501 

42 """ModelBreak - a model defined in Swagger""" # noqa: E501 

43 self.discriminator = None 

44 AstNode.__init__(self, *args, **kwargs) 

45 

46 def to_dict(self): 

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

48 result = {} 

49 

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

51 value = getattr(self, attr) 

52 if isinstance(value, list): 

53 result[attr] = list(map( 

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

55 value 

56 )) 

57 elif hasattr(value, "to_dict"): 

58 result[attr] = value.to_dict() 

59 elif isinstance(value, dict): 

60 result[attr] = dict(map( 

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

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

63 value.items() 

64 )) 

65 else: 

66 result[attr] = value 

67 if issubclass(ModelBreak, dict): 

68 for key, value in self.items(): 

69 result[key] = value 

70 

71 return result 

72 

73 def to_str(self): 

74 """Returns the string representation of the model""" 

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

76 

77 def __repr__(self): 

78 """For `print` and `pprint`""" 

79 return self.to_str() 

80 

81 def __eq__(self, other): 

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

83 if not isinstance(other, ModelBreak): 

84 return False 

85 

86 return self.__dict__ == other.__dict__ 

87 

88 def __ne__(self, other): 

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

90 return not self == other