semvec/pypi-packages huggingface dataset:
GPyS-test 0.0.3
Gaussian Process Subspace Prediction
Requires Python: >=3.6

This is a prototypical implementation of GPS in the Python programming language. 
For the original research article documenting the method, see the Citation section.

## Citation

- Ruda Zhang, Simon Mak, and David Dunson. Gaussian Process Subspace Prediction for Model Reduction. SIAM Journal on Scientific Computing, 2022. https://epubs.siam.org/doi/10.1137/21M1432739

## Installation

Install the package via pip using the following command:

- pip install GPyS==0.0.3

## Example Use 

After installing the package you can load it via: 

#### For GPS Preprocessor: 
  - from GPyS_preprocessor import Preprocessor
  - Note that only Preprocessor.setup(X) takes in argument X and this must be called first before any other functions
  - The remaining functions merely returns preprocessing quantities of interests

#### For GPS Hyperparameter training:
- from GPyS_LOOCV_error import LOOCV
- Utilize hSSDist(length) method for the objective function computation at a given (default) length scale
- Refer to the working script to see an example computation of optimal lengthscale for GPS. 

#### For GPS Prediction: 
  - from GPyS_prediction import Prediction
  - All the functions can be independently called here. 
  - Also, user can directly call Prediction.GPS_Prediction() to immediately obtain prediction results
maui-rc 0.1.6
Wrapper for controlling Teledyne-Lecroy Maui oscilloscopes.
Requires Python: >=3.11,<4.0

# MAUI Remote Control

Control your Teledyne-Lecroy Maui based oscilloscope using Python. Based on PyVISA, this package provides the `VirtualScope` class which connects to an oscilloscope and has methods/attributes documented in the *MAUI Oscilloscope Remote Control and Automation Manual*.

## Features
- [x] Save and load panel setups to and from files on the controller (the computer running the Python program).
- [x] Setup parameters for the acquisition/trigger.
- [x] Initiate an acquisition (set the trigger on the scope).
- [x] Transfer waveform data from the oscilloscope and parse it on the controller.
- [ ] Control `Display`
- [ ] Control `Cursors`
- [ ] Error handling by implementing `Status` checks

## Usage

It begins by opening a resource...
oslex 0.1.3
OS-independent wrapper for shlex and mslex
Requires Python: >=3.6

# oslex

`oslex` is an OS-independent wrapper for [`shlex`](https://docs.python.org/3/library/shlex.html) and [`mslex`](https://pypi.org/project/mslex/).

Its main purpose is to provide functions similar in functionality to `shlex.quote()`, `shlex.split()` and `shlex.join()` on both Windows and POSIX-compatible platforms.

This goal is achieved by simply forwarding the calls to either `shlex` (from the standard library) on POSIX-compatible systems, or the excellent `mslex` library (written by Lawrence D'Anna / @smoofra) on Windows.

In other words, `oslex` is to `shlex`/`mslex` what `os-path` is to `posixpath`/`ntpath`.

## Licensing

This library itself is licensed under the MIT license.

`oslex` uses the [`mslex`](https://pypi.org/project/mslex/) library, which is distributed under the Apache 2.0 license.