semvec/pypi-packages huggingface dataset:
django-daterangefilter-plus 1.0.0
Date range filter for Django admin
License: MIT

# Django admin date range filter

[![Build Status](https://travis-ci.org/andreynovikov/django-daterangefilter.svg?branch=master)](https://travis-ci.org/andreynovikov/django-daterangefilter)
[![GitHub release](https://img.shields.io/github/release/andreynovikov/django-daterangefilter.svg)](https://github.com/andreynovikov/django-daterangefilter/releases/latest)
[![PyPI release](https://img.shields.io/pypi/v/django-daterangefilter.svg)](https://pypi.org/project/django-daterangefilter/)
[![Python version](https://img.shields.io/pypi/pyversions/django-daterangefilter.svg)](https://pypi.org/project/django-daterangefilter/)
[![GitHub issues](https://img.shields.io/github/issues/andreynovikov/django-daterangefilter.svg)](https://github.com/andreynovikov/django-daterangefilter/issues)
[![Code quality](https://img.shields.io/codacy/grade/e90b9f21941a4d8c93edb4a58caa3667.svg)](https://www.codacy.com/app/novikov/django-daterangefilter)
[![Coverage](https://img.shields.io/codacy/coverage/e90b9f21941a4d8c93edb4a58caa3667.svg)](https://www.codacy.com/app/novikov/django-daterangefilter)
[![GitHub license](https://img.shields.io/github/license/andreynovikov/django-daterangefilter.svg)](LICENSE)

Application adds three Django admin list filters: ```DateRangeFilter```, ```PastDateRangeFilter``` and ```FutureDateRangeFilter```. These filters let user filter models by date range. ```PastDateRangeFilter``` and ```FutureDateRangeFilter``` add quick selection of predefined date ranges. Filters can be applied to any model date fields. Application supports default Django admin theme and [Suit theme](https://github.com/darklow/django-suit).

![Admin screenshot](https://raw.githubusercontent.com/andreynovikov/django-daterangefilter/master/screenshot-admin.png)

## Requirements

* Python 2.7+ or Python 3.3+
* Django 1.9+

## Installation

Install ```django-daterangefilter``` using pip:

```shell
pip install django-daterangefilter
```

Add ```daterangefilter``` to ```INSTALLED_APPS```. Example:

```python
INSTALLED_APPS = (
    ...
    'daterangefilter',
    ...
)
```

Application uses static files so do not forget to issue ```collectstatic``` management command in production environment.

## Example usage

in admin.py:

```python
from django.contrib import admin
from daterangefilter.filters import PastDateRangeFilter, FutureDateRangeFilter

@admin.register(Post)
class PostAdmin(admin.ModelAdmin):
    list_filter = [
        ('created_at', PastDateRangeFilter), ('publish_at', FutureDateRangeFilter)
    ]
```

## Advanced usage

Predefined ranges can be completely redefined by overriding ```_past_ranges.html``` and ```_future_ranges.html``` templates.
Take into account that these templates are inserted in the middle of the javascript code and may contain nothing but ranges
definition. For more examples on using ```moment``` library refer to [library documentation](https://momentjs.com/docs/#/manipulating/).

## Credits

Filter widget uses a great JavaScript date range picker component - [Date Range Picker](https://github.com/dangrossman/daterangepicker) by Dan Grossman.
venture 3.1.0
Rofi / Wofi based project selector
License: MIT
Requires Python: >=3.10,<4.0

# Venture

Make finding and opening your files / projects easier with Venture. Checkout the [configuration](docs/configuration.md) page for more information on how to configure Venture

### Dependancies
Venture uses [Nerdfonts](https://www.nerdfonts.com/) for icons

## Installation

```
$ pip install venture
```

Note this may install into `~/.local/bin` which is not part of the default path on some Linux systems
pcg-springer-features 0.3
Tools for Computation of Springer's Features from Phonocardiogram (PCG).
License: MIT
Requires Python: >=3.6

# pcg_springer_features

Computation of Springer's Features from Phonocardiogram (PCG)

![format-check](https://github.com/DeepPSP/pcg_springer_features/actions/workflows/check-formatting.yml/badge.svg)
![pytest](https://github.com/DeepPSP/pcg_springer_features/actions/workflows/run-pytest.yml/badge.svg)
[![codecov](https://codecov.io/gh/DeepPSP/pcg_springer_features/branch/master/graph/badge.svg?token=LIML5LHY3Q)](https://codecov.io/gh/DeepPSP/pcg_springer_features)
![PyPI](https://img.shields.io/pypi/v/pcg_springer_features?style=flat-square)
![downloads](https://img.shields.io/pypi/dm/pcg_springer_features?style=flat-square)

A part (feature extraction) of the [original Matlab code](https://physionet.org/content/hss/1.0/) is re-implemented using Python.
pluggy-types 0.0.1
Typing stubs for pluggy
License: MIT
Requires Python: >=3.10,<4

# pluggy types

[![QA](https://github.com/Tatsh/pluggy-types/actions/workflows/qa.yml/badge.svg)](https://github.com/Tatsh/pluggy-types/actions/workflows/qa.yml)

Types for pluggy.

## Installation

```shell
pip install pluggy-types
```

```shell
poetry add pluggy-types
```
micropython-lsm6dsox 0.1.0
MicroPython Library for the ST LSM6DSOX accelerometer/gyro Sensor
License: MIT
Keywords: sensor,micropython,lsm6dsox,accelerometer,micropython,lsm6dsox,st,gyro,driver,sensor

Introduction
============


.. image:: https://readthedocs.org/projects/micropython-lsm6dsox/badge/?version=latest
    :target: https://micropython-lsm6dsox.readthedocs.io/en/latest/
    :alt: Documentation Status


.. image:: https://img.shields.io/badge/micropython-Ok-purple.svg
    :target: https://micropython.org
    :alt: micropython

.. image:: https://img.shields.io/pypi/v/micropython-lsm6dsox.svg
    :alt: latest version on PyPI
    :target: https://pypi.python.org/pypi/micropython-lsm6dsox

.. image:: https://static.pepy.tech/personalized-badge/micropython-lsm6dsox?period=total&units=international_system&left_color=grey&right_color=blue&left_text=Pypi%20Downloads
    :alt: Total PyPI downloads
    :target: https://pepy.tech/project/micropython-lsm6dsox

.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
    :target: https://github.com/psf/black
    :alt: Code Style: Black

MicroPython Library for the ST LSM6DSOX accelerometer/gyro Sensor


Installing with mip
====================
To install using mpremote

.. code-block:: shell

    mpremote mip install github:jposada202020/MicroPython_LSM6DSOX

To install directly using a WIFI capable board

.. code-block:: shell

    mip install github:jposada202020/MicroPython_LSM6DSOX


Installing Library Examples
============================

If you want to install library examples:

.. code-block:: shell

    mpremote mip install github:jposada202020/MicroPython_LSM6DSOX/examples.json

To install directly using a WIFI capable board

.. code-block:: shell

    mip install github:jposada202020/MicroPython_LSM6DSOX/examples.json


Installing from PyPI
=====================

On supported GNU/Linux systems like the Raspberry Pi, you can install the driver locally `from
PyPI <https://pypi.org/project/micropython-lsm6dsox/>`_.
To install for current user:

.. code-block:: shell

    pip3 install micropython-lsm6dsox

To install system-wide (this may be required in some cases):

.. code-block:: shell

    sudo pip3 install micropython-lsm6dsox

To install in a virtual environment in your current project:

.. code-block:: shell

    mkdir project-name && cd project-name
    python3 -m venv .venv
    source .env/bin/activate
    pip3 install micropython-lsm6dsox


Usage Example
=============

Take a look at the examples directory

Documentation
=============
API documentation for this library can be found on `Read the Docs <https://micropython-lsm6dsox.readthedocs.io/en/latest/>`_.
exificator 1.0.0
A command line application for modifying EXIF metadata in JPEG images.
License: MIT
Keywords: exif jpeg image metadata xss payload

# Exificator

Exificator is a Python command line application that allows you to modify EXIF metadata in JPEG images.

## Installation

To install Exificator, you can use pip:

```sh
$ pip install exificator
``````


## Usage

Exificator can be used to modify the EXIF metadata in JPEG images. Here's an example of how to use it:

```sh
$ exificator input.jpg -o output.jpg --payload '<script>alert(1337)</script>'
```


This will modify the title and description fields in the EXIF metadata of the input image and save the modified image to the output file.

Here are the available options:

```
  -h, --help            show this help message and exit
  -o OUTPUT, --output OUTPUT
                        Output filename. By default, filename-output.ext
  -f, --force           Overwrite output file if exists without confirmation
  -p PAYLOAD, --payload PAYLOAD
                        String to set in EXIF attributes. {} is replaced with the exif tag. Default: "<script>alert('{}')</script>
  --tags TAGS           List of tags to set, comma separated. Default: all tags
  --list-tags           List all available tags
```


## License

Exificator is licensed under the MIT License. See LICENSE for more information.