semvec/pypi-packages huggingface dataset:
stochasticprocesses 0.15.0
A package to simulate stochastic processes
Requires Python: >= 3.7.3


# About the package

This is a package dedicated to simulation of stochastic processes. In it you will find some simulations of trajectories of various stochastic processes:

- Simple Random Walk,
- Pearson Random Walk,
- Poisson Process,
- Brownian Motion,
- Brownian Bridge,
- Brownian Motion with drift and volatility coefficient, and
- Geometric Brownian Motion


# References

For further reference : [Stochastic Simulation](https://github.com/JulioCesarMS/StochasticModels/blob/main/Some_Stochastic_Models.ipynb)
enviz 0.1.2
Python .env file made easier
Requires Python: >=3.8

<img src="https://raw.githubusercontent.com/oskvr37/enviz/main/logo.svg" width="100%"/>

# About

Enviz is a python module that allows you to write and read environment variables from a file.

# Installation

```bash
pip install enviz
```

# Usage

```python
from enviz import Env

# Read environment variables from a file
env = Env(path='.env.example', autowrite=True)

# We can update the environment variables with a dictionary
env.update({
    'TEST1': '1',
    'TEST2': '2'
})

# We can also update the environment variables by setting them manually
env['TEST3'] = '3'
```

```bash
# env.example
TEST1 = "1"
TEST2 = "2"
TEST3 = "3"
```

Enviz will automatically write the environment variables to the file if the `autowrite` parameter is set to `True`. If you want to write the environment variables manually, you can use the `write()` method.
table-synthesis 1.0.0
Table Image Synthesis
Requires Python: >=3.8

# Table Synthesis Library

## Introduction
This is the Table Image Synthesis tool that can generate a number of template table images given a template, with a goal of providing similar images to fine-tune the table recognition model. This is done by keeping the table structure and changing the text inside it.


## Usage

First, depending on the browser you use, get the corresponding driver executable with the browser ([chromedriver.exe](https://chromedriver.chromium.org/) for Chrome or [geckodriver.exe](https://github.com/mozilla/geckodriver) for Firefox) from the Internet. Then put the driver file in the same directory as your main file.

The full model usage can be found here:

```
from table_synthesis import SynthesizeTable

syn = SynthesizeTable(input_path='test',
                        out_path='test_out')

syn(num_synth=1)
```
Here, the `input_path` is the path to the folder with the `gt.txt` file (which is a label file exported from PPOCRLabel program), and optionally the extra html files in the `html/` folder if using TableGeneration tool.

The `out_path` should be the folder containing the output (recommended empty).

Then initilalize the Synthesis class and run it to generate `num_synth` images from each label image.
starchain-python-sdk 0.0.3
This is a Python library to facilitate the usage of opencsg starchain
Requires Python: >=3.8

# Starchain python SDK
```
from opencsg.rest import StarChain
client = StarChain(api_key="", timeout=60)
res = client.chatflows.run(id="ef12ea98-14c1-4f36-bced-9297c5d6d41f", message={"question": "Hey, how are you?"})
```