semvec/pypi-packages huggingface dataset:
ProgressScript 1.0
Solid Progress Bar Script For Python
Requires Python: >=3.6

Installation:

pip install ProgressScript

Using:

Points:

PyProgress.points(1, 25, 50, 100)

We get:

. 25%
.. 50%
... 100%

Slash:

PyProgress.slash(1, 25, 50, 100)

We get:

/ 25%
// 50%
/// 100%

Stars:

PyProgress.stars(1, 25, 50, 100)

We get:

* 25%
** 50%
*** 100%

Num:

PyProgress.num(5, 1, 25, 50, 100)

We get:

5 25%
55 50%
555 100%

Bar:

PyProgress.bar(1, 10, 100, 10)

We get bar look like in TQDM.

Explanation:

Basic Load (Points, Slash, Stars):

We have 4 funcs:

speed, percent one, percent two, percent three. (25, 50, 100)

1 this is speed, 25, 50, 100 this is the percentage that we will show

Example Command:

PyProgress.points(1, 25, 50, 100)

this guide use in Slash, Stars too.
                    
Specified Load Scripts:

num, speed, percent two, percent three. (5, 25, 50, 100)

5 - Number we print in script
1 - speed
other  (25, 50, 100) = percent

PyProgress.points(5, 1, 25, 50, 100)

Beautiful Bars:

1 - speed
10 - update
100 - total loading
10 - range

speed - uses in end
update - loading speed
total - percent loading
range - data

PyProgress.bar(1, 10, 100, 10)

Other:

PyProgress.guide()

Get Offline help info without Explanation.

Version:

Python 3.8-3.9

Other From Dev:

I hope I showed the documentation as well as possible. The module was created using TQDM. (ADDITIONAL SOFTWARE) In general, the script is quite useful for showing your script works or just for beauty. Good luck using it!

BYE BYE!
jbruwbuewe 2.0.5
freeamongus
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

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MSApiTest 0.0.9
testapi 一个不用写代码的api自动化测试框架
Requires Python: >=3.7

### 本项目是一个非常好用的api自动化测试框架，
### 目前处于开发阶段，开发完第一时间会开源出来(工作之余开发，进度会有点慢)
rtyrtrrrs 2.0.5
freeamongus
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

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kspies 1.0.3
This is a python based Kohn-Sham Inversion Evaluation Software package for use with pySCF.
Requires Python: >=3.6

# KSPies
Kohn-Sham Python-based inversion Evaluation Software

Documentaiton: https://ssnam92.github.io/KSPies/index.html
DOI for Code: https://doi.org/10.25351/V3.KS-PIES.2020

This package simplifies evaluating Kohn-Sham inversion potentials and densities for use in the quantum chemistry.
In addition to documentation of the scientific code, this site includes information on installation, setup, use, and examples of use to equip quantum chemists and physicists with this useful toolkit. 
Please let us know if you have further questions, suggestions, or ideas.

Installation
------------
* Prerequisites
    - Python 3.6 or higher
    - Numpy 1.8.0 or higher
    - Scipy 1.4.1 or higher
    - PySCF 1.6.6 or higher
    - opt\_einsum 3.2.0 or higher
    - LAPACK(for Fortran)

* Installation
  Using pip:

        pip install kspies

  Note this does not downloads compiled Fortran binary directly.
  User can compile `kspies/kspies_fort.f90` to utilize much faster Fortran subroutine for `wy` and `util`.
  Example compile command is introduced in `kspies/compile.sh`
kuyiuyeww 2.0.5
freeamongus
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

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