semvec/pypi-packages huggingface dataset:
zhanghm-tool 0.1
A simple example package
License: MIT

# douyin_image [![Version][version-badge]][version-link] ![MIT License][license-badge]


Add douyin effect to image


`douyin_image` 是一个给图片添加抖音效果的库


### 示例

原图

![](https://raw.githubusercontent.com/pythonml/douyin_image/master/orig.jpeg)

转换后的代码图片

![](https://raw.githubusercontent.com/pythonml/douyin_image/master/out.jpeg)


### 使用方式

```
usage: douyin_image [-h] [--image IMAGEFILE] [--out OUTIMAGE]

optional arguments:
  -h, --help         show this help message and exit
  --image IMAGEFILE  path of image to add effect
  --out OUTIMAGE     path of output image
```


### 安装

```
$ pip install douyin_image
```


### License

[MIT](https://github.com/pythonml/douyin_image/blob/master/LICENSE)


[version-badge]:   https://img.shields.io/badge/version-0.1-brightgreen.svg
[version-link]:    https://pypi.python.org/pypi/douyin_image/
[license-badge]:   https://img.shields.io/github/license/pythonml/douyin_image.svg
add notice copy content ,only test
plink-bed-reader 1.0.2
Lightweight and memory efficient reader for PLINK BED files. It supports both SNP-major and individual-major formats. Written in pure Python.
License: MIT
Requires Python: >=3.6
Keywords: bed, plink, genetics, bioinformatics, variant, indel, snv, genotype

# PLINK BED reader<!-- omit in toc -->
**Lightweight and memory efficient reader for PLINK BED files**. It supports both SNP-major and individual-major formats. Written in Python 3. Check the [available documentation](https://computational-genomics-bsc.github.io/plink-bed-reader/) for more information.

## Table of contents<!-- omit in toc -->
- [Getting started](#getting-started)
  - [Installation](#installation)
- [Usage](#usage)
- [Dependencies](#dependencies)


## Getting started
### Installation
`plink-bed-reader` is available on PyPI and can be installed using `pip`:
```bash
pip install plink-bed-reader
```

## Usage
```python
# Import the package
from plink_bed_reader import PLINKBEDReader, BEDMode

# Load the PLINK BED file (we include the mode for sanity check, but it is optional)
bed = PLINKBEDReader('./input_test_data/test.bed', mode=BEDMode.SNP_MAJOR)

# Print the number of SNPs and samples
print('Number of SNPs:', bed.snp_count)
print('Number of samples:', bed.sample_count)
# Print the first SNP
first_snp = bed[0]
print('First SNP:', first_snp, first_snp.dtype)
# Print the first 3 SNPs
print('First 3 SNPs:', bed[:3])
```

## Dependencies

The dependencies are covered by their own respective licenses as follows:

* [Python/NumPy package](https://numpy.org/)