Skip to main content

🗂 Take the edge off `dataclass` 🗂

Project description

🗂 datacls: take the edge off dataclass 🗂

dataclasses is almost perfect.

datacls is a tiny, thin wrapper around dataclass.dataclasses making it a bit more self-contained, reflective, and saving a bit of typing.

datacls is exactly like dataclass, except:

  • Adds three new instance methods: asdict(), astuple(), replace(), and one new class method, fields(), all taken from the dataclasses module

  • xmod-ed for less cruft (so datacls is the same as datacls.dataclass)

  • The default class is datacls.immutable where frozen=True.

Example

import datacls

@datacls
class One:
    one: str = 'one'
    two: int = 2
    three: dict = datacls.field(dict)

# `One` has three instance methods: asdict(), astuple(), replace()

o = One()
assert o.asdict() == {'one': 'one', 'two': 2, 'three': {}}

import dataclasses
assert dataclasses.asdict(o) == o.asdict()

assert o.astuple() == ('one', 2, {})

o2 = o.replace(one='seven', three={'nine': 9})
assert o2 == One('seven', 2, {'nine': 9})

# `One` has one new class method: fields()

assert [f.name for f in One.fields()] == ['one', 'two', 'three']

# @datacls is immutable.

try:
    o.one = 'three'
except AttributeError:
    pass
else:
    raise AttributeError('Was mutable!')

# Usec @datacls.mutable or @datacls(frozen=False)
# for mutable classes

@datacls.mutable
class OneMutable:
    one: str = 'one'
    two: int = 2
    three: Dict = datacls.field(dict)

om = OneMutable()
om.one = 'three'
assert str(om) == "OneMutable(one='three', two=2, three={})"

# These four new methods won't break your old dataclass by mistake:
@datacls
class Overloads:
    one: str = 'one'
    asdict: int = 1
    astuple: int = 1
    fields: int = 1
    replace: int = 1

o = Overloads()

assert ov.one == 'one'
assert ov.asdict == 1
assert ov.astuple == 1
assert ov.fields == 1
assert ov.replace == 1

# You can still access the methods as functions on `datacls`:
assert (
    datacls.asdict(ov) ==
    {'asdict': 1, 'astuple': 1, 'fields': 1, 'one': 'one', 'replace': 1}
)

API Documentation

Project details


Download files

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

Source Distribution

datacls-4.9.0.tar.gz (2.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

datacls-4.9.0-py3-none-any.whl (4.1 kB view details)

Uploaded Python 3

File details

Details for the file datacls-4.9.0.tar.gz.

File metadata

  • Download URL: datacls-4.9.0.tar.gz
  • Upload date:
  • Size: 2.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.28 {"installer":{"name":"uv","version":"0.9.28","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for datacls-4.9.0.tar.gz
Algorithm Hash digest
SHA256 b70b5274fd68a59cbf6ad806cdc41965eb9021e4e91b5e5c83c7b7249aeda08f
MD5 3ccb096fb208a9289a45050e1b04db94
BLAKE2b-256 7d6f146fb58b0f2360672ff40911c86caa91baf2ba86f1c445f632755675381b

See more details on using hashes here.

File details

Details for the file datacls-4.9.0-py3-none-any.whl.

File metadata

  • Download URL: datacls-4.9.0-py3-none-any.whl
  • Upload date:
  • Size: 4.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.28 {"installer":{"name":"uv","version":"0.9.28","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for datacls-4.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f1bd0187704b7974aa135680305ce880b738702871de1f9548a8d7c97683bfc8
MD5 ca54108ca0b42189b68a7b811cd297ac
BLAKE2b-256 7091879fe6fadbfa0f68cd980f9ad73f92ea0ceedb9d1d7408d9188017294b58

See more details on using hashes here.

Supported by

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