semvec/pypi-packages huggingface dataset:
suntranslator 0.0.9.post1
A program to convert text into the Sun language
Requires Python: >=3.10

# Suntranslator

A tool used to translate text into the Sun language

![GitHub last commit](https://img.shields.io/github/last-commit/cjhead/suntranslator)
![GitHub](https://img.shields.io/github/license/cjhead/suntranslator)
![GitHub issues](https://img.shields.io/github/issues/cjhead/suntranslator)
![GitHub pull requests](https://img.shields.io/github/issues-pr/cjhead/suntranslator)

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## Table of Contents
- [Install](#install)
- [Usage](#usage)

## Dependencies
To view the translated text within the program itself, you will need to download the Keyman program and install the Sun keymap. Download instructions for Keyman can be found at the bottom of the page [here](https://keyman.com/) and instructions for installing custom keymaps [here](https://help.keyman.com/products/linux/current-version/start/installing-keyboard)(scroll down to the section titled "Install Local .kmp keyboard package").

You do not need to install this font in order to save your output in the Sun language.

## Install
Suntranslator is a python package which relies on the python interpreter. The latest release of python can be downloaded from [here](https://www.python.org/downloads/).
```bash
$ python3 -m pip install suntranslator
```

## Usage
Open a terminal and call the program
```bash
$ suntranslator
```
azcam-scripts 22.3.3
Azcam extension which adds general purpose scripts
Keywords: ccd,imaging,astronomy,sensors

# azcam-scripts

*azcam-scripts* is an *azcam* extension which adds general purpose scripting. These scripts are intended for command line use. Other azcam extensions may required to be installed for proper operation, depending on the script.

## Installation

`pip install azcam-scripts`

Or download from github: https://github.com/mplesser/azcam-scripts.git.

## Usage

Use `from azcam_scripts import xxx` to import module `xxx`. Scripts may then be executed by name as `xxx.xxx(10)`, for example, `get_temperatures.get_temperatures(10)`. A shortcut could be similar to `from azcam_scripts.get_temperatures import get_temperatures` and then execute with `get_temperatures(10)`.

In some cases the environment configuration process may bring all the script functions directly to the command line namespace. This is usually accomplished using the `azcam_scripts.load()` command.  In this case, use just `get_temperaturess(10, "templog.txt", 0)`.
GNSS-Vel-95CI 1.0.8
A Python program for calculating the 95 percent CI for GNSS derived site velocities
Requires Python: >=3.6

# GNSS_Vel_95%CI
A Python program for calculating the 95%CI for GNSS-derived site velocities, by B. Cornelison and G. Wang.

GNSS_Vel_95CI.py is a Python module for the calculation of the site velocity (b) and its 95%CI for GNSS-derived daily displacement time series.
The detailed methods are adressed in:

Wang, G. (2022). The 95% Confidence Interval for GNSS-Derived Site Velocities, J. Surv. Eng. 2022, 148(1): 04021030. 
http://doi.org/10.1061/(ASCE)SU.1943-5428.0000390

Cornelison and Wang (2023). GNSS_Vel_95CI.py: A Python Module for Calculating the Uncertainty of GNSS-Derived Site Velocity, J. Surv. Eng. 2022, 149(1): 06022001. http://doi.org/10.1061/(ASCE)SU.1943-5428.0000410

The source codes are avaliable at pip and GitHub:

https://pypi.org/project/GNSS-Vel-95CI

https://github.com/bob-Github-2020/GNSS_Vel_95CI

You may install the module on your computer by "pip install GNSS_Vel_95CI" or download the source code (GNSS_Vel_95CI.py) from GitHub and put it into your working directory.

Main_cal_95CI.py illustrates the method of implementing "GNSS_Vel_95CI.py" into your own Python program.

You may need to install "pandas", "matplotlib", "statsmodels" on yur computer if you have not used them before.

How--- "pip install pandas", "pip install matplotlib", "pip install statsmodels".


# How to run the module on your computer? 

Download following files into a folder:

    Main_cal_95CI.py

    GNSS_Vel_95%CI.py (You donot need this one if you already installed the moduler on your computer by pip)

    MRHK_GOM20_neu_cm.col  (sample file)

    .....

Change your work directory to the folder:

For Linux system users:

    Type "./Main_cal_95CI.py" in your terminal

For Windows system users:

    Type " python Main_cal_95CI.py" in your CMD window


Good Luck!

For comments, please contact:

bob.g.wang@gmail.com


# Two figures output from the module

![MRHK_UD_ACF](https://user-images.githubusercontent.com/65426380/167514723-83626229-3c40-4256-8bbc-f22d2082bd98.png)

![MRHK_UD_Decomposition](https://user-images.githubusercontent.com/65426380/181590972-d1e231c7-b95f-499a-836f-0e9c0dee0903.png)



# Detailed Method

[Methods_Vel_95CI.pdf](https://github.com/bob-Github-2020/GNSS_Vel_95CI/files/7664316/Methods_Vel_95CI.pdf)

[95CI_Python.pdf](https://github.com/bob-Github-2020/GNSS_Vel_95CI/files/9590450/95CI_Python.pdf)
mpbn-sim 0.1
Simulation of Most Permissive Boolean networks

# Simulation of Most Permissive Boolean networks

## Installation

```
pip install https://github.com/bnediction/mpbn-sim/archive/refs/heads/main.zip
```

## Usage

The `mpbn_sim` command takes as input a JSON file describing the model and the
simulation parameters.
See https://github.com/bnediction/mpbn-sim/tree/main/experiments
for example of experiment files.


```
mpbn_sim experiments/file.json
```

See `mpbn_sim -h` for options.