semvec/pypi-packages huggingface dataset:
foo-et-al-JK 0.0.1
A small package that calculates the Foo et al. parameterization
Requires Python: >=3.8

# Foo_package

    This package calculates the fictitious Foo et al. parameterization. When given a shape (default to sphere) and radius it will output the volume.

# Features

    Takes the radius of a sphere and returns its volume

# Usage

    Install the package using the command:

    pip install -i https://test.pypi.org/simple/ foo_et_al_JK==0.0.1

    Import the package using:

    from foo_et_al_JK import foo_et_al

    An example of using the package:
    
    example = foo_et_al.foo_et()
    print(example.getVolume(3))

    This would output: 113.09733552923254
neurotool 0.0.2
LFP and spikes processing
Requires Python: >=3.7
Keywords: brain rhythms neuron spike lfp place cells hippocampus

# NeuroTool

A Python module for LFP and spikes analysis. It includes a collection of routines for brain signals analysis, circular statistics and spatial maps.

Please read the documentation https://github.com/ivanmysin/NeuroTools

This module requires NumPy, SciPy. In addition, you will also need matplotlib to run the examples.

The samples scripts illustrates the usage of functions. Results are plotted in figures similar to the sample images.

## Installation

We recommend using PyPI to install this package.

```bash
python3 -m pip install neurotool
```

Or, you can download the code and run the below line within the top level folder.
```bash
python3 setup.py install
```
## Authors

The module is being developed by members of the Laboratory of the Neuron System Organization of the Institute of Theoretical and Experimental Biophysics of the Russian Academy of Sciences, Pushchino

Ivan Mysin, Sergey Dubrovin, Sergey Skorokhod, Artem Vasilev
dicom-decompress 1.1.0
Minimal command-line tool for decompressing DICOM files with compressed pixel data.

# dicom-decompress

A command-line utility for decompressing DICOM files with compressed pixel data. Optionally, ff photometric 
interpretation is one of `YBR_FULL`, `YBR_FULL_422`, `PALETTE COLOR` pixel data will be transcoded to `RBG`.


## Installation

```bash
pip install dicom-decompress
```

This will install the terminal command `dicom-decompress` in your environment.

Some transfer syntaxes need the c++ library [GDCM](http://gdcm.sourceforge.net/) installed. Install this by
```bash
conda install gdcm -c conda-forge
```
See [here](https://docs.conda.io/projects/continuumio-conda/en/latest/user-guide/install/index.html#) on how to install 
conda.

To decompress a single file run

```bash
dicom-decompress in.dcm out.dcm
```

where `in.dcm` is the file to decompress and `out.dcm` is the decompressed target file. To attempt transcoding for non
monochrome or rgb images add the `--transcode` flag:

```bash
dicom-decompress --transcode in.dcm out.dcm
```

To decompress multiple files in-place run e.g.

```bash
find . -name "*.dcm" -exec echo {} \; -exec dicom-decompress --transcode {} {} \;
```

### Dependencies

* [numpy](https://pypi.org/project/numpy/)
* [pydicom](https://pypi.org/project/pydicom/)

## Development

Update your `.pypirc` file in your home directory to include
```buildoutcfg
index-servers = 
	pypi
	<your other servers...>
    
[pypi]
repository: https://upload.pypi.org/legacy/
username: <your pypi username>

...
```

* **To build**: `python setup.py sdist bdist_wheel` *(requires python3 + wheel package)*
* **To install**: `pip install --force-reinstall dist/dicom_decompress-x.y.z-py3-none-any.whl`, *(x.y.z is version, see
  setup.py)*
* **To publish**
  * Install twine: `pip install twine`
  * Build package (cf. above)
  * Make sure it passes the twine check: `twine check dist/*`
  * Publish: `twine upload dist/*`
Ghaflanko-shamsi 1.0.0
Jalali datetime convert for python
Requires Python: >=3.6

# Description
Enter the Gregorian date as an input and  convert to the hijri date
# Ghaflanko_shamsi
+ Input :
<br>year=1986
<br>month=8
<br>day=18
<br>Ghaflanko_shamsi.today(year,month,day)
<br>

+ Output :
<br>1365/05/27


# Installation 

```bash
pip Ghaflanko_shamsi
```
directedit 1.3
Lightweight folder management contents library

<html>
<a href="https://pypi.org/project/directedit" rel="nofollow"><img alt="PyPI - Python Version" src="https://pypi-camo.freetls.fastly.net/da6321181d9727b03c184c40a5f46773aca688df/68747470733a2f2f696d672e736869656c64732e696f2f707970692f707976657273696f6e732f706970"></a>
<br><p>directedit is a <b>powerful library</b> for easy folder management. <br>
Key features:
<ol>
<li>Create and manage folders: Create a new folder and easily manage its contents.</li>
<li>Create and Write Files: Create new files and write data to them.</li>
<li>Read files: Read the contents of files.</li>
<li>Rename files: Rename files and folders.</li>
<li>Deleting files: Delete files and folders.</li>
<li>Destroying a folder: Deleting the entire folder and its contents.</li>
<li>File Path Management: Obtaining the absolute path to a file.</li>
<li>Cache Management: Caches the contents of files to speed up access to them.</li>
<li>Folder Update: Updates the contents of the folder and cache.</li>
</ol><br>
Useful functions:<br>
<ul>
<li>makes(): Creates new files and writes data to them.</li>
<li>files(): Gets a dictionary of all files in a folder.</li>
<li>reads(): Reads the contents of certain files.</li>
<li>renames(): Renames files and folders.</li>
<li>unlinks(): Delete files.</li>
<li>abs_path(): Get the absolute path to a file.</li>
<li>update(): Updating the contents of the folder and cache.</li>
<li>clear(): Deleting all files in the folder.</li>
<li>destroy(): Deleting the entire folder and its contents.</li>
</ul>
Benefits:<br>
<ul>
<li>Developers: Use Folder Manager as a utility in your projects to simplify file and folder management.</li>
<li>Power users: Use Folder Manager to automate common file and folder operations.</li>
</ul>
</html>