semvec/pypi-packages huggingface dataset:
pycarsimlib 0.0.1
pycarsimlib: carsim wrapper
Requires Python: >=3.8

# pycarsimlib
An easy-to-use wrapper library to call carsim solver from python script.

# Environmental setup

1. `cd /path/to/workingdir`
1. `git clone https://github.com/MizuhoAOKI/pycarsimlib.git`

# Install pycarsimlib from pip
You can also install pycarsimlib easily with pip.

`pip install pycarsimlib`

# Run a sample script
1. Launch carsim software.
    - Make a dataset in which vehicle does not run.
    - Edit procedures and declare import and export variables with "Additional Data" textbox. ex.
        ```
        IMPORT IMP_STEER_SW Replace 0.0! 1
        IMPORT IMP_FBK_PDL Replace 0.0! 1
        IMPORT IMP_THROTTLE_ENGINE Replace 0.0! 1
        EXPORT XCG_TM
        EXPORT YCG_TM
        EXPORT Yaw
        ```
        ![](./media/carsim_procedures_window.png)
    - After you finish editing gui, Press "Run Math Model" button to generate a simulation setting file (simfile.sim)

1. Change `CARSIM_DB_DIR` value in examples/runcarsim.py according to your environment. 

    ex. `r"C:\Users\Public\Documents\CarSim2022.1_Data"`
1. Run the script.
    ```
    $ cd examples
    $ python runcarsim.py
    ```
    ![](./media/runcarsim_shell_output.png)
1. Press "Video + Plot" button on carsim gui to visualize simulation results.
![](./media/carsim_visualizer_window.png)
confiserie 2.0.5
A configuration file toolbox for ML experiments
Requires Python: <3.11,>=3.7

# Confiserie 🍭

![build status](https://travis.ibm.com/SysBio/confiserie.svg?token=ivSfmzD1FySpDUBw5xzx&branch=master)

The confiserie library is a toolbox to help streamline and standardize machine learning experiments. We provide tools to efficiently parse and extract information from JSON and YAML configuration files to setup experiments. In particular, confiserie provides tools to automatically scan your code and identify models so that they can be instantiated from a configuration file, including when they take other models at instantiation.

Consult the [documentation](https://ibm.biz/confiserie) for details