Supported data types
Currently autofaker supports creating anonymous variables for the following data types:
Built-in types:
- int
- float
- str
- complex
- range
- bytes
- bytearray
Datetime types:
- datetime
- date
Classes:
- Simple classes
- dataclass
- Nested classes (and recursion)
- Classes containing lists of other types
- Enum classes
Dataframes:
- Pandas dataframe
What's Changed
* Add support for using AutoFaker Decorators with pytest by christianhelle in https://github.com/christianhelle/autofaker/pull/3
* Fixing linting errors by marksmayo in https://github.com/christianhelle/autofaker/pull/4
* Add test cases for nested data classes by christianhelle in https://github.com/christianhelle/autofaker/pull/5
* Add Enum support by christianhelle in https://github.com/christianhelle/autofaker/pull/7
* Tidy-ups by marksmayo in https://github.com/christianhelle/autofaker/pull/9
* Add support for inherited enums by christianhelle in https://github.com/christianhelle/autofaker/pull/12
* Add support for __future__.annotations. by jmpcm in https://github.com/christianhelle/autofaker/pull/13
* fix: ValueError: mutable default <class 'list'> for field x is not alowed: use default_factory by flobz in https://github.com/christianhelle/autofaker/pull/18
Contributors
* christianhelle made their first contribution in https://github.com/christianhelle/autofaker/pull/3
* marksmayo made their first contribution in https://github.com/christianhelle/autofaker/pull/4
* jmpcm made their first contribution in https://github.com/christianhelle/autofaker/pull/13
* flobz made their first contribution in https://github.com/christianhelle/autofaker/pull/18