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-4.10.0.tar.gz (17.6 kB view details)

Uploaded Source

Built Distribution

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

datacls-4.10.0-py3-none-any.whl (4.4 kB view details)

Uploaded Python 3

File details

Details for the file datacls-4.10.0.tar.gz.

File metadata

  • Download URL: datacls-4.10.0.tar.gz
  • Upload date:
  • Size: 17.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.12 {"installer":{"name":"uv","version":"0.10.12","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-4.10.0.tar.gz
Algorithm Hash digest
SHA256 f9a574d1e7ec03a1c55ef9dadb3e333f7525c9e7758233d3f5ac3cad3cbe8f20
MD5 4155679b05d3e250f286c8adbd3133c6
BLAKE2b-256 eaa5a54fe182239f8ce9ad1e17aa4c947828c95ccef0e1c1982a73d66fbb3e8c

See more details on using hashes here.

File details

Details for the file datacls-4.10.0-py3-none-any.whl.

File metadata

  • Download URL: datacls-4.10.0-py3-none-any.whl
  • Upload date:
  • Size: 4.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.12 {"installer":{"name":"uv","version":"0.10.12","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-4.10.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b5ea17f90bedd6d3bbb8b4184b917ed29990667b11dc105a0886bdd9b2823411
MD5 4d2d10b3a28c79a91cc05f3c4126014d
BLAKE2b-256 a76b830505ae2b9033f3a672774836abeda88c813202d395739d97288c5389e6

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