grd 0.0.1

Literal Enum

grd

Developer Guide

Setup

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

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

Install

pip install -e .

# install from pypi
pip install grd

nbdev

# activate conda environment
$ conda activate grd

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

# make changes under nbs/ directory
# ...

# compile to have changes apply to the grd 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/grd.git

or from conda

$ conda install -c dsm-72 grd

or from pypi

$ pip install grd

Documentation

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

abc, d = Literal['a', 'b', 'c'], 'd'

class ABC_Guard(TTypeGuard):
    types = abc

ABC_Guard.istype('bz'), ABC_Guard.istype('b')

(False, True)

class ABCD_Guard(TTypeGuard):
    types = Union[abc, d]
    
ABCD_Guard.istype('b'), ABCD_Guard.istype('d')

(True, True)

import numpy as np
from typing import TypeAlias
ndarray: TypeAlias = np.ndarray

class NPArrayGuard(TTypeGuard):
    types = ndarray

NPArrayGuard.istype([1,2,3]), NPArrayGuard.istype(np.array([1,2,3]))

(False, True)