Decorate-me
Python decorators to trim boilerplate.
Example 1: auto-add repr, str, hash, and eq
import decorateme as abcd
@abcd.auto_obj()
class Animal:
def __init__(self, species: str, age: int):
self.species = species
self.age = age
luna1 = Animal("dog", 12)
luna2 = Animal("dog", 12)
str(luna) # "Animal(species="dog", age=12)"
assert luna1 == luna2
assert hash(luna1) == hash(luna2)
Example 2: Customize
import decorateme as abcd
@abcd.auto_str(only=["species"])
class Animal:
...
Example 3: Add warnings about code quality
import decorateme as abcd
@abcd._status("immature")
def my_function():
...
my_function() # warns with an ImmatureWarning
Example 4: Iterate, etc.
import decorateme as abcd
@abcd.sequence_over("members")
class Team:
def __init__(self, members: list):
self.members = members
team = Team(["john", "kerri"])
list(team) # ["john", "kerri"]
@abcd.float_type("v")
class Size:
def __init__(self, v: float):
self.v = v
float(Size(6.2)) # 6.2
Example 5: clearly document behavior
import decorateme as abcd
@abcd.not_thread_safe
def run_command():
...
Example 6: combine things
import decorateme as abcd
@abcd.auto_obj()
@abcd.float_type("weight")
class Uno:
def __init__(self, weight):
self.weight = weight
light1, light2, heavy = Uno(3.1), Uno(3.1), Uno(12.8)
assert light1 == light2 != heavy
print(light1) # 'Duo(weight=22.3)'
assert light1 * heavy == 39.68
Licensed under the Apache License, version 2.0. New issues and pull requests are welcome. Please refer to the contributing guide. Generated with Tyrannosaurus.
List of decorators
String-like methods
- auto_repr_str
- auto_str
- auto_repr
- auto_html (for display in Jupyter)
- auto_info (add a .info method)
Equality
- auto_eq
- auto_hash
- total_ordering (from functools)
Make your class smart
- auto_obj (auto- for eq, str, and repr)
- dataclass (from dataclasses)
Docstring-related
- copy_docstring
- append_docstring
Timing
- takes_seconds
- takes_seconds_named
- auto_timeout
Allow a class to be used as a type
- iterable_over
- collection_over
- sequence_over
- float_type
- int_type
Overriding / inheritance
- final
- overrides
- override_recommended
- ABC (from abc)
- ABCMeta (from abc)
- abstractmethod (from abc)
Mark purpose / use
- internal
- external
- reserved
Multithreading
- thread_safe
- not_thread_safe
Mutability
- mutable
- immutable
Code maturity
- status (code deprecation & immaturity warnings)
Singletons
- auto_singleton
Metadata
Release files for decorateme 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| decorateme-0.3.0.tar.gz | 14.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| decorateme-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.8 kB
Release files / decorateme-0.3.0.tar.gz
| Download URL | decorateme-0.3.0.tar.gz |
|---|---|
| Size | 14.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7d71c5f74539a5e4edf81f4fe7a4f5de46375021680d6936636a58cd0632c410
|
|
BLAKE2b-256 checksum How to use checksums |
9586adb8713f425299a7abb245bfefc3b1bef296d2ca3b7bc223055668e0d784
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.14 CPython/3.9.13 Linux/5.15.0-1014-azure
|
Release files / decorateme-0.3.0-py3-none-any.whl
| Download URL | decorateme-0.3.0-py3-none-any.whl |
|---|---|
| Size | 14.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4b647ec83245e670558e1d7ca03d2a81d460f964fd3bb0a6430cfe721daa783b
|
|
BLAKE2b-256 checksum How to use checksums |
2a730db629f5891edc78ae3eba045eb600e38f7a98d3297f9ea043b53070bcfb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.14 CPython/3.9.13 Linux/5.15.0-1014-azure
|
Security for decorateme 0.3.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.