Skip to main content

hasr

Project description

hasr

Developer Guide

Setup

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

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

Install

pip install -e .

# install from pypi
pip install hasr

nbdev

# activate conda environment
$ conda activate hasr

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

# make changes under nbs/ directory
# ...

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

or from conda

$ conda install -c dsm-72 hasr

or from pypi

$ pip install hasr

Documentation

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hasr-0.0.8.tar.gz (12.0 kB view details)

Uploaded Source

Built Distribution

hasr-0.0.8-py3-none-any.whl (11.9 kB view details)

Uploaded Python 3

File details

Details for the file hasr-0.0.8.tar.gz.

File metadata

  • Download URL: hasr-0.0.8.tar.gz
  • Upload date:
  • Size: 12.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for hasr-0.0.8.tar.gz
Algorithm Hash digest
SHA256 ba8ab250938a4f366390b1ede1a813238e3e50c8d88e7bb4677c8b03d7528f46
MD5 c49ed0055eb6479e7e3cb9d53fbd4106
BLAKE2b-256 7ba0f1f2e040ec4f559138126bd8c29d92c6685c0654a345e25c8bf23fedd30b

See more details on using hashes here.

File details

Details for the file hasr-0.0.8-py3-none-any.whl.

File metadata

  • Download URL: hasr-0.0.8-py3-none-any.whl
  • Upload date:
  • Size: 11.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for hasr-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 0f4b55bd85605cf6a7249288cae4e5e5deecd452cda88d932022bf1114834bb4
MD5 7accd2a024a28cfb45be9ad0957be03a
BLAKE2b-256 423dff6c404e9ecab68dff0561b45adf8a1a63c7a218cb8b29455f90565edf15

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page