typs


Nametyps JSON
Version 0.0.6 PyPI version JSON
download
home_pagehttps://github.com/dsm-72/typs
Summarytyps (prototype)
upload_time2024-03-05 21:38:16
maintainer
docs_urlNone
authordsm-72
requires_python>=3.11
licenseApache Software License 2.0
keywords protocol prot prots prototype nbdev jupyter notebook python types type alias type typs typ optional opt
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # typs

<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

## Packages that use `typs`

## Developer Guide

### Setup

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

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

### Install

``` sh
pip install -e .

# install from pypi
pip install typs
```

### nbdev

``` sh
# activate conda environment
$ conda activate typs

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

# make changes under nbs/ directory
# ...

# compile to have changes apply to the typs package
$ nbdev_prepare
```

### Publishing

``` sh
# 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](https://github.com/dsm-72/typs):

``` sh
$ pip install git+https://github.com/dsm-72/typs.git
```

or from [conda](https://anaconda.org/dsm-72/typs)

``` sh
$ conda install -c dsm-72 typs
```

or from [pypi](https://pypi.org/project/typs/)

``` sh
$ pip install typs
```

## Documentation

Documentation can be found hosted on GitHub
[repository](https://github.com/dsm-72/typs)
[pages](https://dsm-72.github.io/typs/). Additionally you can find
package manager specific guidelines on
[conda](https://anaconda.org/dsm-72/typs) and
[pypi](https://pypi.org/project/typs/) respectively.

### A = Alias

### C = ClassVar

### Q = Optional

### E = (Over)-Engineered

### Z = Custom

### R = Rich

### P = Plot

### D = Data

### B = Bio

### M = Machine Learning

            

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