File read and write operations
Project description
scevow
scevow: Excellent optimization of variant function mapping through weighted random walks at single-cell resolution
scevow: 通过单细胞分辨率下的加权随机游走对突变功能映射进行优化
1. 介绍
2. 上传
upload
test
py -m build
twine check dist/*
twine upload --repository testpypi dist/*
production
py -m build
twine check dist/*
twine upload dist/*
3. 使用
vim ~/.bashrc
export OMP_NUM_THREADS=1
export OPENBLAS_NUM_THREADS=1
source ~/.bashrc
test
pip3 install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
pip3 install scLift -i https://test.pypi.org/simple/
production
pip3 install scLift
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
sclift-0.0.51.tar.gz
(51.0 kB
view details)
Built Distribution
scLift-0.0.51-py3-none-any.whl
(62.7 kB
view details)
File details
Details for the file sclift-0.0.51.tar.gz
.
File metadata
- Download URL: sclift-0.0.51.tar.gz
- Upload date:
- Size: 51.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 02a20661d5bc22b791ebb9cb142f829bee44920552040e495050806752aa68c7 |
|
MD5 | 32dfbed99667b60d61f04b28df502fac |
|
BLAKE2b-256 | 37b4a13552aa7cc676bed056803700c6d10d6afa8a3f561131f32bebc7055521 |
File details
Details for the file scLift-0.0.51-py3-none-any.whl
.
File metadata
- Download URL: scLift-0.0.51-py3-none-any.whl
- Upload date:
- Size: 62.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 470d11e6adfee67b8b8f27e562238a96b7ad0bbb48e3e273ee91a2e1a4e76487 |
|
MD5 | 75a94319eb4abf25420334e262974674 |
|
BLAKE2b-256 | d89cf5b066a57c71c40c411446220bb0e02ebc30ead99968c4bc8e71195250a8 |