si type metric
# create conda environment
$ mamba env create -f env.yml
# update conda environment
$ mamba env update -n sint --file env.yml
# $ mamba env update -n sint --file env.mac.yml
pip install -e .
# install from pypi
pip install sint
# activate conda environment
$ conda activate sint
# make sure the sint package is installed in development mode
$ pip install -e .
# make changes under nbs/ directory
# ...
# compile to have changes apply to the sint package
$ nbdev_prepare
Note: it might be useful to use the following snippet to enable hot reloading:
%load_ext autoreload
%autoreload 2
# publish to pypi
$ nbdev_pypi
# publish to conda
$ nbdev_conda --build_args '-c conda-forge'
Install latest from the GitHub repository:
$ pip install git+https://github.com/dsm-72/sint.git
or from conda
$ conda install -c dsm-72 sint
or from pypi
$ pip install sint
sign.P, sign.Z, sign.N
(sign(int=1, chr='P', sym='+', syn={'positive', '+', 'pos'}),
sign(int=0, chr='', sym='', syn=set()),
sign(int=-1, chr='N', sym='-', syn={'negative', 'neg', '-'}))
sint(2), sint(0), sint(-2), sint('2'), sint('0'), sint('-2'), sint('+'), sint('0'), sint('-')
(1, 0, -1, 1, 0, -1, 1, 0, -1)
sint(2).chr, sint(2).sym, sint(0).chr, sint(0).sym, sint.tochr(2)
('P', '+', '', '', 'P')