Coverage for skema/program_analysis/CAST2FN/model/cast/var_type.py: 38%

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 

17 

18class VarType(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 } 

32 

33 attribute_map = { 

34 } 

35 

36 def __init__(self): # noqa: E501 

37 """VarType - a model defined in Swagger""" # noqa: E501 

38 self.discriminator = None 

39 

40 def to_dict(self): 

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

42 result = {} 

43 

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

45 value = getattr(self, attr) 

46 if isinstance(value, list): 

47 result[attr] = list(map( 

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

49 value 

50 )) 

51 elif hasattr(value, "to_dict"): 

52 result[attr] = value.to_dict() 

53 elif isinstance(value, dict): 

54 result[attr] = dict(map( 

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

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

57 value.items() 

58 )) 

59 else: 

60 result[attr] = value 

61 if issubclass(VarType, dict): 

62 for key, value in self.items(): 

63 result[key] = value 

64 

65 return result 

66 

67 def to_str(self): 

68 """Returns the string representation of the model""" 

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

70 

71 def __repr__(self): 

72 """For `print` and `pprint`""" 

73 return self.to_str() 

74 

75 def __eq__(self, other): 

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

77 if not isinstance(other, VarType): 

78 return False 

79 

80 return self.__dict__ == other.__dict__ 

81 

82 def __ne__(self, other): 

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

84 return not self == other