Useful descriptor for shadow stat collections
Project description
KeeWee 🥝
Useful descriptor for recording and statistic generation.
Example:
Just define your Python classes or dataclasses as you would normally do.
If you are using dataclasses you should remove your shadowing fields from
the repr as they will mess up your results in the end.
from dataclasses import dataclass, field
from keewee import KeeWee
@dataclass
class PokemonTrainer:
name: str
skill_level: int | KeeWee = field(default=KeeWee(), repr=False)
A common usage would look like
import random
ash = PokemonTrainer(name="Ash Ketchum", skill_level=0)
for _ in range(10):
ash.skill_level = random.randint(1, 10)
print(KeeWee.dumpd())
Result
{'PokemonTrainer':
{'skill_level':
{"PokemonTrainer(name='Ash Ketchum')": {
'13:08:36.055042': 0,
'13:08:36.055055': 5,
'13:08:36.055059': 1,
'13:08:36.055061': 5,
'13:08:36.055064': 2,
'13:08:36.055066': 5,
'13:08:36.055069': 10,
'13:08:36.055071': 6,
'13:08:36.055073': 6,
'13:08:36.055075': 6,
'13:08:36.055077': 4
}
}
}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
keewee-0.0.3.tar.gz
(15.3 kB
view hashes)
Built Distribution
keewee-0.0.3-py3-none-any.whl
(16.0 kB
view hashes)