dynattr 0.0.5

Dynamic Attributes Mixin

dynattr

Developer Guide

Setup

# create conda environment
$ mamba env create -f env.yml

# update conda environment
$ mamba env update -n dynattr --file env.yml

Install

pip install -e .

# install from pypi
pip install dynattr

nbdev

# activate conda environment
$ conda activate dynattr

# make sure the dynattr package is installed in development mode
$ pip install -e .

# make changes under nbs/ directory
# ...

# compile to have changes apply to the dynattr package
$ nbdev_prepare

Publishing

# publish to pypi
$ nbdev_pypi

# publish to conda
$ nbdev_conda --build_args '-c conda-forge'
$ nbdev_conda --mambabuild --build_args '-c conda-forge -c dsm-72'

Usage

Installation

Install latest from the GitHub repository:

$ pip install git+https://github.com/dsm-72/dynattr.git

or from conda

$ conda install -c dsm-72 dynattr

or from pypi

$ pip install dynattr

Documentation

Documentation can be found hosted on GitHub repository pages. Additionally you can find package manager specific guidelines on conda and pypi respectively.

Example

from atyp import StrQ
from typing import ClassVar
class Foo(DynamicAttributesMixin):
    X: str = 'X'
    x: str = 'X'
    Z: ClassVar[str] = 'Z'

    toinstname = lambda x: f'_{x}'
    totypename = lambda x: x.upper()

    def __init__(self, x: StrQ = None):
        self.x = (x or self.x)

f, b = Foo(x='x'), Foo()

(f.x, f.X, f.Z), (b.x, b.X, b.Z), (Foo.x, Foo.X, Foo.Z, )

(('x', 'X', 'Z'), ('X', 'X', 'Z'), ('X', 'X', 'Z'))

f.getinstclsattr('x', toinstname=None, totypename=None)

'X'