semvec/pypi-packages huggingface dataset:
fdsdecompose 1.0.2
Python script to automate decomposition of MESH statements.
Requires Python: >=3.6

# FDSMeshDecomposer
> Python script to automate decomposition of MESH statements

[![Build Status](https://travis-ci.com/FireDynamics/FDSMeshDecomposer.svg?branch=master)](https://travis-ci.com/FireDynamics/FDSMeshDecomposer)  
[![PyPI version](https://badge.fury.io/py/fdsdecompose.png)](https://badge.fury.io/py/fdsdecompose)


## Installation

The package is available on PyPI and can be installed using pip:  
```sh
pip install fdsdecompose
```

## Usage example
```sh
fdsdecompose input.fds output.fds --decomposition 3,3,3
```

## Meta

Distributed under the LGPLv3 (GNU Lesser General Public License v3) license. See ``LICENSE`` for more information.


## Contributing

1. Fork it (<https://github.com/FireDynamics/FDSMeshDecomposer/fork>)
2. Create your feature branch (`git checkout -b feature/fooBar`)
3. Commit your changes (`git commit -am 'Add some fooBar'`)
4. Push to the branch (`git push origin feature/fooBar`)
5. Create a new Pull Request
gw-wispy 0.5.0
Neural Network Based Waveform Modelling
Requires Python: >=3.6

# wispy

Neural Network Based Waveform Modelling

pypi - https://pypi.org/project/gw-wispy/

## Installation

```
pip install gw-wispy
```

## Development

```
conda create -n wispy python=3.7
conda activate wispy
pip install tensorflow lalsuite pycbc matplotlib tensorflow-addons tqdm gw-phenom
```

## Upload to pypi

```
python setup.py clean --all
rm -rf dist/
python3 setup.py sdist bdist_wheel
python3 -m twine upload  dist/*
```
flik 0.0.3
Flik, a Python Package for Film Buffs
Requires Python: >=3.6

# Flik, a Python Package for Film Buffs

Currently, flik heavily depends on [OMDb](https://www.omdbapi.com/) API. You should first [get](https://www.omdbapi.com/apikey.aspx) your API key. A free subscription is available for up to 1000 requests per day.

To get full information of a title use `fetchinfo` function:

```python
import flik

flik.fetchinfo('se7en', OMDB_API_KEY)
```
The returned object is a python dictionary containing all information about requested title:

```json
{
   "Actors":"Morgan Freeman, Brad Pitt, Kevin Spacey",
   "Awards":"Nominated for 1 Oscar. 29 wins & 42 nominations total",
   "BoxOffice":"$100,125,643",
   "Country":"United States",
   "DVD":"19 Dec 2000",
   "Director":"David Fincher",
   "Genre":"Crime, Drama, Mystery",
   "Language":"English",
   "Metascore":"65",
   "Plot":"Two detectives, a rookie and a veteran, hunt a serial killer who ""uses the seven deadly sins as his motives.",
   "Poster":"https://m.media-amazon.com/images/M/MV5BOTUwODM5MTctZjczMi00OTk4LTg3NWUtNmVhMTAzNTNjYjcyXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_SX300.jpg",
   "Production":"New Line Cinema",
   "Rated":"R",
   "Ratings":[
      {
         "Source":"Internet Movie Database",
         "Value":"8.6/10"
      },
      {
         "Source":"Metacritic",
         "Value":"65/100"
      }
   ],
   "Released":"22 Sep 1995",
   "Response":"True",
   "Runtime":"127 min",
   "Title":"Se7en",
   "Type":"movie",
   "Website":"N/A",
   "Writer":"Andrew Kevin Walker",
   "Year":"1995",
   "imdbID":"tt0114369",
   "imdbRating":"8.6",
   "imdbVotes":"1,499,684"
}
```
yyxtools 0.0.1
tools for algorithm engineer

# yyx_tools
项目开发过程中常用的一些开发工具，减少自己的重复代码量。


##安装
```
pip install yyx_tools
```


##使用
```
import yyx_tools as yt
```


##API
```
yt.file.save(dump_path, content, keep_ori) # 将str/np.array保存到指定文件中

yt.list.rm_elem(input_list, elem) # 检查elem是否存在于input_list中，如果存在则删除

yt.video.info(mp4_path) # 返回mp4信息，fps, total frames, image width, image height

yt.checkdir(dir_path) # 检查dir_path是否存在，如果不存在则创建

yt.load_yaml(yaml_path) # load yaml 并将其结构化和打印
```