You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 

98 lines
3.3 KiB

Metadata-Version: 2.1
Name: dataclasses
Version: 0.8
Summary: A backport of the dataclasses module for Python 3.6
Home-page: https://github.com/ericvsmith/dataclasses
Author: Eric V. Smith
Author-email: eric@python.org
License: Apache
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6, <3.7
.. image:: https://img.shields.io/pypi/v/dataclasses.svg
:target: https://pypi.org/project/dataclasses/
This is an implementation of PEP 557, Data Classes. It is a backport
for Python 3.6. Because dataclasses will be included in Python 3.7,
any discussion of dataclass features should occur on the python-dev
mailing list at https://mail.python.org/mailman/listinfo/python-dev.
At this point this repo should only be used for historical purposes
(it's where the original dataclasses discussions took place) and for
discussion of the actual backport to Python 3.6.
See https://www.python.org/dev/peps/pep-0557/ for the details of how
Data Classes work.
A test file can be found at
https://github.com/ericvsmith/dataclasses/blob/master/test/test_dataclasses.py,
or in the sdist file.
Installation
-------------
.. code-block::
pip install dataclasses
Example Usage
-------------
.. code-block:: python
from dataclasses import dataclass
@dataclass
class InventoryItem:
name: str
unit_price: float
quantity_on_hand: int = 0
def total_cost(self) -> float:
return self.unit_price * self.quantity_on_hand
item = InventoryItem('hammers', 10.49, 12)
print(item.total_cost())
Some additional tools can be found in dataclass_tools.py, included in
the sdist.
Compatibility
-------------
This backport assumes that dict objects retain their insertion order.
This is true in the language spec for Python 3.7 and greater. Since
this is a backport to Python 3.6, it raises an interesting question:
does that guarantee apply to 3.6? For CPython 3.6 it does. As of the
time of this writing, it's also true for all other Python
implementations that claim to be 3.6 compatible, of which there are
none. Any new 3.6 implementations are expected to have ordered dicts.
See the analysis at the end of this email:
https://mail.python.org/pipermail/python-dev/2017-December/151325.html
As of version 0.4, this code no longer works with Python 3.7. For 3.7,
use the built-in dataclasses module.
Release History
---------------
+---------+------------+-------------------------------------+
| Version | Date | Description |
+=========+============+=====================================+
| 0.8 | 2020-11-13 | Fix ClassVar in .replace() |
+---------+------------+-------------------------------------+
| 0.7 | 2019-10-20 | Require python 3.6 only |
+---------+------------+-------------------------------------+
| 0.6 | 2018-05-17 | Equivalent to Python 3.7.0rc1 |
+---------+------------+-------------------------------------+
| 0.5 | 2018-03-28 | Equivalent to Python 3.7.0b3 |
+---------+------------+-------------------------------------+