https://github.com/khirotaka/wallflower

https://github.com/khirotaka/wallflower

Last synced: 3 months ago
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• Host: GitHub
• URL: https://github.com/khirotaka/wallflower
• Owner: khirotaka
• License: mit
• Created: 2019-11-19T08:18:17.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-03T11:14:05.000Z (over 5 years ago)
• Last Synced: 2025-02-03T14:50:00.879Z (5 months ago)
• Language: Python
• Size: 16.6 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# wallflower

[![Codacy Badge](https://api.codacy.com/project/badge/Grade/8d1a42e7b40947b18793150b16825e14)](https://www.codacy.com/manual/KawashimaHirotaka/wallflower?utm_source=github.com&utm_medium=referral&utm_content=khirotaka/wallflower&utm_campaign=Badge_Grade)

[![Anaconda-Server Badge](https://anaconda.org/khirotaka/wallflower/badges/version.svg)](https://anaconda.org/khirotaka/wallflower)

[![Anaconda-Server Badge](https://anaconda.org/khirotaka/wallflower/badges/latest_release_date.svg)](https://anaconda.org/khirotaka/wallflower)

[![Anaconda-Server Badge](https://anaconda.org/khirotaka/wallflower/badges/platforms.svg)](https://anaconda.org/khirotaka/wallflower)

[![Anaconda-Server Badge](https://anaconda.org/khirotaka/wallflower/badges/downloads.svg)](https://anaconda.org/khirotaka/wallflower)

[![Anaconda-Server Badge](https://anaconda.org/khirotaka/wallflower/badges/installer/conda.svg)](https://conda.anaconda.org/khirotaka)

[![Anaconda-Server Badge](https://anaconda.org/khirotaka/wallflower/badges/license.svg)](https://anaconda.org/khirotaka/wallflower)

## Installation 🖥 ← 📦

Conda package is now available!

you just execute this command if you want to install packages.

```shell script

conda install -c khirotaka wallflower

```

## Requirements 📝

This packages depends on those packages and systems.

 

*   Python 3.6 or later

*   NumPy

*   SciPy

## 🛠 Build Package 📦

If you want to build this package on your machine, you just follow this order.

1.  clone this repository

2.  move `wallflower/` directory

3.  `conda-build wallflower`

```shell script

git clone https://github.com/khirotaka/wallflower.git

cd wallflower/

conda-build wallflower

```

Typically, built package is saved on

`~/anaconda3/envs/ENVIRONMENT_NAME/conda-bld/PLATFORM/wallflower-VERSION-py36_0.tar.bz2`

if you want to upload your built packages to anaconda cloud, execute this command.

```shell script

anaconda upload ~/anaconda3/envs/ENVIRONMENT_NAME/conda-bld/PLATFORM/wallflower-VERSION-py36_0.tar.bz2

```

finally, you can get packages from your channel of  anaconda cloud.

### Optional 🛠

Convert your package for all platforms📦

```shell script

conda-convert --platform all ~/anaconda3/envs/ENVIRONMENT_NAME/conda-bld/PLATFORM/wallflower-VERSION-py36_0.tar.bz2 -o packages/

```

## Usage