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

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

pip install -e .

 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

# 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'

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

$ conda install -c dsm-72 dynattr

$ pip install dynattr

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, )

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