Skip to main content

Use dataclasses without variable annotations.

Project description

typeless-dataclasses: use dataclasses without variable annotations

build codecov PyPI black

Have you ever wanted to use dataclasses, but don't like type annotations?

@dataclass
class Data:
    one: Any
    two: Any = 2

... and don't want to resort to any ugly hacks like this one?

@dataclass
class Data:
    one: ...
    two: ... = 2

With the power of typeless-dataclasses, now you can!

@dataclass
@typeless
class Data:
    one = field()
    two = field(default=2)

Compare with attrs:

@attr.s
class Data:
    one = attr.ib()
    two = attr.ib(default=2)

Installing

Install and update using pip:

$ pip install --upgrade typeless-dataclasses

typeless-dataclasses offers a type-annotation-free experience for Python 3.6* and newer, and PyPy.

(On 3.6, you also need to install the dataclasses backport.)

A Simple Example

Using typeless-dataclasses is easy!

Just add @typeless to your class before @dataclass, and use field() as you normally would; field() attributes become instance variables, and all others remain class variables.

>>> from dataclasses import dataclass, field
>>> from typeless_dataclasses import typeless
>>>
>>> @dataclass
... @typeless
... class Data:
...     one = field()
...     two = field(default=2)
...     three = 3
...
>>> Data(1)
Data(one=1, two=2)

Links

Project details


Release history Release notifications | RSS feed

This version

1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

typeless-dataclasses-1.0.tar.gz (5.6 kB view details)

Uploaded Source

Built Distribution

typeless_dataclasses-1.0-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file typeless-dataclasses-1.0.tar.gz.

File metadata

  • Download URL: typeless-dataclasses-1.0.tar.gz
  • Upload date:
  • Size: 5.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.9.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.0

File hashes

Hashes for typeless-dataclasses-1.0.tar.gz
Algorithm Hash digest
SHA256 f375f7740d64545a1da4ab569d2d956efe3b701d9fbbb50ec2ed2b9709f614c1
MD5 7154311d9bfd7c6f65ccaad0dc1127fe
BLAKE2b-256 fa4f555aedf44f79c14fe6adcb21c0d65d6e627a90deb16484232dad6a81d219

See more details on using hashes here.

File details

Details for the file typeless_dataclasses-1.0-py3-none-any.whl.

File metadata

  • Download URL: typeless_dataclasses-1.0-py3-none-any.whl
  • Upload date:
  • Size: 4.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.9.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.0

File hashes

Hashes for typeless_dataclasses-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a71e86787ee4b043b3f84f9ce9da5d2e0148d37226c513641ed2e5639450d2e7
MD5 79322ad10d0b17c51668b1308d77a215
BLAKE2b-256 a2bce249f705a2da3b20b929f8000f6c58a64b50231f8e238366336f12f4e776

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page