v0.4.2

• Fixed edge cases when loading typing.Dict, typing.List and typing.ClassVar (#74). In this release, we have implemented changes to improve the handling of edge cases related to the Python typing.Dict, typing.List, and typing.ClassVar during serialization and deserialization of dataclasses and generic types. Specifically, we have modified the _marshal and _unmarshal functions to check for the __origin__ attribute to determine whether the type is a ClassVar and skip it if it is. The _marshal_dataclass and _unmarshal_dataclass functions now check for the __dataclass_fields__ attribute to ensure that only dataclass fields are marshaled and unmarshaled. We have also added a new unit test for loading a complex data class using the MockInstallation class, which contains various attributes such as a string, a nested dictionary, a list of Policy objects, and a dictionary mapping string keys to Policy objects. This test case checks that the installation object correctly serializes and deserializes the ComplexClass instance to and from JSON format according to the specified attribute types, including handling of the typing.Dict, typing.List, and typing.ClassVar types. These changes improve the reliability and robustness of our library in handling complex data types defined in the typing module.
• MockPrompts.extend() now returns a copy (#72). In the latest release, the extend() method in the MockPrompts class of the tui.py module has been enhanced. Previously, extend() would modify the original MockPrompts object, which could lead to issues when reusing the same object in multiple places within the same test, as its state would be altered each time extend() was called. This has been addressed by updating the extend() method to return a copy of the MockPrompts object with the updated patterns and answers, instead of modifying the original object. This change ensures that the original MockPrompts object can be securely reused in multiple test scenarios without unintended side effects, preserving the integrity of the original state. Furthermore, additional tests have been incorporated to verify the correct behavior of both the new and original prompts.

Contributors: @pritishpai, @nkvuong