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