semvec/pypi-packages huggingface dataset:
augpy 1.0.0a1
Lightweight CUDA tensor functions with a focus on image data augmentation.
License: MIT
Keywords: CUDA tensor math data augmentation image affine warp transform gaussian blur gamma correction

augpy
=====

augpy is a lightweight library with minimal dependencies that
provides CUDA tensor functions with a focus on image data
augmentation.
It uses the `dlpack <https://github.com/dmlc/dlpack>`_
standard to export tensors to other libraries, such as
Pytorch, with zero copying.



Building
--------

Make sure you have the following installed.

- Compiler with C++14 support (e.g. GCC 5)
- Cuda 10 or higher
- Cmake 3.13 or higher
- setuptools>=44.0.0
- wheel>=0.34.0
- pybind11>=2.4.3
- numpy>=1.15.0

Now simply run ``setup.py`` as normal to build the wheel and install with pip.

::

    python setup.py bdist_wheel



Usage
-----

TODO



Changelog
---------

1.0.0a1
~~~~~~~

- WIP
mzo 0.3.2
A simple command line interface to your monzo account.
License: MIT
Requires Python: >=3.6.0


# mzo
A (third-party) command-line interface to your Monzo account. 
Because _Sometimes_ the command-line is more convenient then 
swiping and tapping.

This README covers the environment setup if you are looking to
run the applications source code / work on the project. If you
are looking for the documentation and more straight forward
installation instructions [see the docs](https://jamesstidard.github.io/Mzo-Cli/).

## Prerequisites
At the time of writing this the project is using Python 3.6.5.
You will need that version of python installed before starting.
If you don't currently have a method of managing multiple Python
versions on your machine, I would recommend checking out [pyenv](https://github.com/pyenv/pyenv).

The projects dependencies are also managed by [pipenv](https://docs.pipenv.org/).
You should head over there and make sure that you also have that
tool setup.

Finally I've used a `package.json` in my Python project (heresy
I'm sure), which aggregates all ancillary project scripts together
for building and deploying. Specifically I'm using the [yarn](https://yarnpkg.com/lang/en/)
package manager for these npm dependencies.

## Summoning Ritual
Once you've completed the prerequisites above you should be able
to bring the application to life with the following commands.

```bash
# clone the source code to your machine
$ git clone https://github.com/jamesstidard/mzo-cli

$ cd mzo-cli/

$ pipenv install --dev --python 3.6.5
$ pipenv shell
```

### Run
```bash
$ mzo --help
```

### Test
```bash
$ yarn test
```

### Document
```bash
$ yarn docs:dev
```

### Deploy mzo
```bash
$ yarn mzo:deploy
```

### Deploy Docs
```bash
$ yarn docs:deploy
```
django-payir 0.1.2
A pluggable Django application for integrating Pay.ir into your website.
License: MIT
Requires Python: ~=3.7
Keywords: payment,gateway,pay.ir

# Django Pay.ir

Django Pay.ir is a pluggable application that integrates Pay.ir services into your website. The application introduces 
two new models to your system that encapsulate Pay.ir API calls as object methods. Django Pay.ir has been tested on and 
supports:

- Python 3.7+
- Django 2.2.11 (Latest LTS Release)

# Quick Start

1.  Install the package:

    ```shell script
    pip install django-payir
    ```

2.  Add `payir` to your `INSTALLED_APPS` setting:

    ```python
    INSTALLED_APPS = [
        ...
        'payir',
    ]
    ```

3.  Run `python manage.py makemigrations` and `python manage.py migrate` to create the necessary models.
4.  Start a development server and visit http://127.0.0.1:8000/admin/payir/gateway to set up your gateways.

# Documentation

Visit the development documentations at https://github.com/farahmand-m/django-payir/wiki.
pod-neshan 1.0.0
POD Neshan services
License: MIT
Requires Python: >=2.7
Keywords: POD,neshan,pod sdk

<div dir="rtl">

# پکیج Neshan

با استفاده از این پکیج می توانید از سرویس های پلتفرم نقشه نشان استفاده نمایید

# نصب

برای نصب از طریق `pip` کافیه تا دستور زیر را اجرا کنید
```
pip install pod-neshan
```


# نمونه کد

نمونه کد ها و مثال هایی از تمام متدهای این پکیج را می توانید 
[اینجا](examples)
پیدا کنید.

</div>