Metadata-Version: 2.1
Name: databind.core
Version: 1.1.4
Summary: Databind is a library inspired by jackson-databind to de-/serialize Python dataclasses. Compatible with Python 3.7 and newer.
Home-page: https://github.com/NiklasRosenstein/python-databind
Author: Niklas Rosenstein
Author-email: rosensteinniklas@gmail.com
License: MIT
Description: # databind.core
        
        `databind.core` provides a jackson-databind inspired framework for data de-/serialization in Python. Unless you
        are looking to implement support for de-/serializing new data formats, the `databind.core` package alone might
        not be what you are looking for (unless you want to use `databind.core.dataclasses` as a drop-in replacement to
        the standard library `dataclasses` module, for that check out the section at the bottom).
        
        ### Known implementations
        
        * [databind.json](https://pypi.org/projects/databind.json)
        
        ### Dataclass extension
        
        The standard library `dataclasses` module does not allow to define non-default arguments after default arguments.
        You can use `databind.core.dataclasses` as a drop-in replacement to get this feature. It behaves exactly like the
        standard library, only that non-default arguments may follow default arguments. Such arguments can be passed to
        the constructor as positional or keyword arguments.
        
        ```py
        from databind.core import dataclasses
        
        @dataclasses.dataclass
        class A:
          value1: int = 42
        
        @dataclasses.dataclass
        class B(A):
          value2: str
        
        print(B(0, 'Hello, World!'))
        print(B(value2='Answer to the universe'))
        ```
        
        ---
        
        <p align="center">Copyright &copy; 2020 &ndash; Niklas Rosenstein</p>
        
Platform: UNKNOWN
Requires-Python: >=3.7.0,<4.0.0
Description-Content-Type: text/markdown
Provides-Extra: test
