semvec/pypi-packages huggingface dataset:
fpcross 0.5.5
Solver in the low-rank tensor-train format with cross approximation approach for solution of the multidimensional Fokker-Planck equation
License: MIT
Requires Python: >=3.8
Keywords: Fokker-Planck equation low-rank representation tensor train format TT-decomposition cross approximation probability density estimation

# fpcross


## Description

This python package, named **fpcross** (**F**okker **P**lanck **cross**-approximation), provides a solver in the low-rank tensor train format with cross approximation approach for solution of the multidimensional Fokker-Planck equation (FPE) of the form

```
d r(x, t) / d t = D delta( r(x, t) ) - div( f(x, t) r(x, t) ),
where r(x, 0) = r0(x).
```

The function f(x, t), its diagonal partial derivatives d f_i (x, t) / d x_i, initial condition r0(x) and scalar diffusion coefficient D should be known. The equation is solved from the initial moment (t = 0) to the user-specified moment (t), while the solutions obtained at each time step can be used if necessary. The resulting solution r(x, t) represents both the TT-tensor on the multidimensional Chebyshev grid and the Chebyshev interpolation coefficients in the TT-format, and therefore it can be quickly calculated at an arbitrary spatial point.


## Installation

The package can be installed via pip: `pip install fpcross` (it requires the [Python](https://www.python.org) programming language of the version >= 3.8). It can be also downloaded from the repository [fpcross](https://github.com/AndreiChertkov/fpcross) and installed by `python setup.py install` command from the root folder of the project.


## Usage

A compact example of using the solver for a user-defined FPE is provided in the script `demo/demo.py` (run it as `python demo/demo.py` from the root of the project).

The software product also implements classes for the model FPEs:
1. multidimensional simple diffusion problem (see `fpcross/equation_demo/equation_dif.py`);
2. multidimensional Ornstein-Uhlenbeck process (see `fpcross/equation_demo/equation_oup.py`);
3. 3-dimensional dumbbell model (see `fpcross/equation_demo/equation_dum.py`).

A demonstration of their solution is given in the script `demo/check.py` (run it as `python demo/check.py` from the root of the project).


## Authors

- [Andrei Chertkov](https://github.com/AndreiChertkov)
- [Ivan Oseledets](https://github.com/oseledets)

> ✭__🚂  The stars that you give to **fpcross**, motivate us to develop faster and add new interesting features to the code 😃


## Citation

If you find this approach and/or code useful in your research, please consider citing:

```bibtex
@article{chertkov2021solution,
    author    = {Chertkov, Andrei and Oseledets, Ivan},
    year      = {2021},
    title     = {Solution of the Fokker--Planck equation by cross approximation method in the tensor train format},
    journal   = {Frontiers in Artificial Intelligence},
    volume    = {4},
    issn      = {2624-8212},
    doi       = {10.3389/frai.2021.668215},
    url       = {https://www.frontiersin.org/article/10.3389/frai.2021.668215}
}
```
bodhilib 0.1.16
An Open Source, Plugin Architecture based, Pythonic and Composable LLM Library
License: MIT
Requires Python: >=3.8.1,<3.12

# bodhilib core

bodhilib core only defines the models and interfaces for interacting with LLM components.

It does not contain any implementation. This way, this package is much more stable, less frequent changes and releases than other plugin packages in this mono-repo.
wbFontParts 0.2.4
A wrapper around fontParts for UFO Workbench.
License: MIT
Requires Python: >=3.8
Keywords: workbench,wxPython,GUI

# wbFontParts

## A wrapper around fontParts for Workbench applications.

[fontparts](https://pypi.org/project/fontParts/) is an API for interacting 
with the parts of fonts during the font development process.

This provides the API layer for UFO-Workbench.

## Installation

```shell
pip install wbFontParts
```

## Documentation

For details read the [Documentation](https://workbench2.gitlab.io/WorkBenchExtensions/wbFontParts).
gitload 1.0
Python API for downloading web-repositories
License: MIT

<h2 align="center">
    <img src="https://raw.githubusercontent.com/syubogdanov/gitload/trunk/branding/logo/gitload.png" height="128px" width="128px">
</h2>

<p align="center">
    <img src="https://img.shields.io/badge/python-3.7+-green">
    <img src="https://img.shields.io/badge/license-MIT-green">
</p>

**GitLoad** is a simple Python API for downloading web-repositories using
only the standard library.

Supported Platforms:

- **BitBucket**: https://bitbucket.org/
- **GitHub**: https://github.com/

## Quick Start

```python
>>> from gitload.github import download
>>> download(user='numpy', repo='numpy')
WindowsPath('C:/Users/GitLoad/AppData/Local/Temp/tmp17gdig4b')
```

## Installation

- Installation using `pip` (a Python package manager):

```console
gitload@dev~$ pip install gitload
```

## License

MIT License, Copyright (c) 2023 Sergei Bogdanov. See [LICENSE](LICENSE) file.
cfkv 1.1.2
A Python wrapper for the Cloudflare KV Store API
License: MIT
Keywords: cloudflare,kv,cache,api,cloudflare workers

# CFKV

[![Deploy > PYPI > Test ](https://github.com/mooncitizen/python-cfkv/actions/workflows/testpypi.yaml/badge.svg)](https://github.com/mooncitizen/python-cfkv/actions/workflows/testpypi.yaml)

[![Release](https://github.com/mooncitizen/python-cfkv/actions/workflows/pypi.yaml/badge.svg)](https://github.com/mooncitizen/python-cfkv/actions/workflows/pypi.yaml)

A simple wrapper to communicate with [Cloudflare KV Store ](https://developers.cloudflare.com/kv/). It can be used as a cache and features will be implemented to be used in frameworks such as ```FastAPI```

- [x] Set and Get
- [ ] Fastapi Middleware
- [ ] Flask integration
- [x] Options to include string instead of dict entry

### Simple Usage

```python
import datetime
from cfkv import KVStore

store = KVStore(namespace_id="YOUR_NAMESPACE_ID", account_id="ACCOUNT_ID", api_key="API_KEY")

# Usage Example
key = "sample_key"
get = store.get(key)

if get is None:
    data = {"test": True, "date": str(datetime.datetime.now())}
    store.set(key)
    data['stored'] = False
    get = data
else:
    data['stored'] = True

print(get)
```

### Setup

You will need to know your namespace id which is generated when you create a KV namespace and Account ID. To generate the KV api key follow the instructions below

1. Navigate to [Cloudflare API Tokens](https://dash.cloudflare.com/profile/api-tokens)
2. Create API Token
3. Scroll down to create custom token
4. Create a token with **Workers KV Storage** and select **Edit**

![Example Token](https://raw.githubusercontent.com/mooncitizen/python-cfkv/main/github/image.png)


You can use environment variables to store these the following are monitored
```python
KV_NAMESPACE_ID="YOUR_NAMESPACE_ID"
CF_ACCOUNT_ID="YOUR_ACCOUNT_ID"
CF_API_KEY="YOUR_API_KEY"
```
galgen 0.2.0
Simple gallery generator.
License: MIT
Requires Python: >=3.8,<4.0

# GalGen

Simple gallery generator.

## Features

- Simple
- Reliable
- Customizable

## Demo

Sample gallery can be found [here](https://filedn.com/ls8U70bX0lASS65WlPE8h3j).

## Installing

```sh
pip install galgen
```

## Getting Started

Let's say we have the following file structure:

```
holidays/
  day1/
    pic1.jpg
    pic2.jpg
    pic3.jpg
    thumnails/
      pic1.jpg
      pic2.jpg
      pic3.jpg
  day2/
    pic1.jpg
    pic2.jpg
    pic3.jpg
    thumnails/
      pic1.jpg
      pic2.jpg
      pic3.jpg

```

To generate and open your gallery invoke the following:
```sh
$ galgen init path/to/holidays
$ galgen build --open path/to/holidays
```

- One or more directories with the pictures are required.
- Define content of your gallery in `gengal-config.yml`
- Customize layout in `index.html.j2`

Rebuild your gallery whenever pictures are added/removed or other changes applied.
```sh
$ galgen build --force path/to/holidays
```

# Thumnails

- Thumnails are optional. Skip them (for simplicity) or generate manually (for performance).
- Size of the thumnails is of your choice.
- Filenames of the thumnails must correspond to the filenames of the full-scale pictures.