semvec/pypi-packages huggingface dataset:
bookmark-box 0.0.1
A static site generator to manage your bookmarks
License: MIT
Requires Python: >=3.6

# My Project

Describe what your package is about

## Package Distribution

### Installation

`pip install my-project`

### Use

`python ./src/main.py`

## Docker Distibution

### Installation

`docker pull docker_user/project_name:latest`

### Use

`docker run -p 5000:5000 project_name`

or for detached mode:

`docker run -d -p 5000:5000 project_name`
socialforce 0.2.3
PyTorch implementation of DeepSocialForce.
License: MIT

[![Tests](https://github.com/svenkreiss/socialforce/actions/workflows/tests.yml/badge.svg)](https://github.com/svenkreiss/socialforce/actions/workflows/tests.yml)<br />
[Executable Book documentation](https://www.svenkreiss.com/socialforce/).<br />
[Deep Social Force (arXiv:2109.12081)](https://arxiv.org/abs/2109.12081).

# Deep Social Force

> [__Deep Social Force__](https://arxiv.org/abs/2109.12081)<br />
> _[Sven Kreiss](https://www.svenkreiss.com)_, 2021.
>
> The Social Force model introduced by Helbing and Molnar in 1995
> is a cornerstone of pedestrian simulation. This paper
> introduces a differentiable simulation of the Social Force model
> where the assumptions on the shapes of interaction potentials are relaxed
> with the use of universal function approximators in the form of neural
> networks.
> Classical force-based pedestrian simulations suffer from unnatural
> locking behavior on head-on collision paths. In addition, they cannot
> model the bias
> of pedestrians to avoid each other on the right or left depending on
> the geographic region.
> My experiments with more general interaction potentials show that
> potentials with a sharp tip in the front avoid
> locking. In addition, asymmetric interaction potentials lead to a left or right
> bias when pedestrians avoid each other.


# Install and Run

```sh
# install from PyPI
pip install 'socialforce[dev,plot]'

# or install from source
pip install -e '.[dev,plot]'

# run linting and tests
pylint socialforce
pycodestyle socialforce
pytest tests/*.py
```


# Ped-Ped-Space Scenarios

<img src="docs/separator.gif" height=200 />
<img src="docs/gate.gif" height=200 />

Emergent lane forming behavior with 30 and 60 pedestrians:

<img src="docs/walkway_30.gif" height=200 />
<img src="docs/walkway_60.gif" height=200 />


# Download TrajNet++ Data

The [Executable Book](https://www.svenkreiss.com/socialforce/)
requires some real-world data for the TrajNet++ section.
This is how to download and unzip it to the right folder:

```
wget -q https://github.com/vita-epfl/trajnetplusplusdata/releases/download/v4.0/train.zip
mkdir data-trajnet
unzip train.zip -d data-trajnet
```
sphinx-ads 0.0.2
Sphinx extension for advertising between different Sphinx-Projects and other pages
License: MIT
Requires Python: >=3.7.0,<4.0

Sphinx-Ads
==========

.. image:: https://img.shields.io/pypi/l/sphinx-ads.svg
   :target: https://pypi.python.org/pypi/sphinx-ads
   :alt: License
.. image:: https://img.shields.io/pypi/pyversions/sphinx-ads.svg
   :target: https://pypi.python.org/pypi/sphinx-ads
   :alt: Supported versions
.. image:: https://github.com/useblocks/sphinx-ads/actions/workflows/docs.yaml/badge.svg
   :target: https://github.com/useblocks/sphinx-ads/actions/docs.yaml
   :alt: GitHub Docs CI Action status
.. image:: https://github.com/useblocks/sphinx-ads/actions/workflows/ci.yaml/badge.svg
   :target: https://github.com/useblocks/sphinx-ads/actions
   :alt: GitHub CI Action status
.. image:: https://img.shields.io/pypi/v/sphinx-ads.svg
   :target: https://pypi.python.org/pypi/sphinx-ads
   :alt: PyPI Package latest release
.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
   :target: https://github.com/psf/black
   :alt: black code style


Sphinx-Ads is an extension for the `Python <https://python.org>`_ based documentation framework `Sphinx <https://www.sphinx-doc.org>`_, which you can use to add advertisements from a central source to your Sphinx documentation website.

* Docs: http://sphinx-ads.useblocks.com
* Repo: https://github.com/useblocks/sphinx-ads

Installation
------------

We recommend using the latest version of Python. Sphinx-Ads supports Python 3.7 and newer.
Also, we recommend using a virtual environment to manage the dependencies for your project, both in development and production.

Using pip
+++++++++

.. code-block:: bash

    $ pip install sphinx-ads

From source
+++++++++++

.. code-block:: bash

    $ git clone https://github.com/useblocks/sphinx-ads
    $ cd sphinx-ads
    $ pip install .

Activation
++++++++++

In the **conf.py** file under your **docs** folder, you can set the values for the following options:

.. code-block:: python

    extensions = ["sphinx_ads",]

    ads_path = "ads.json"   # path to the JSON file containing the ad data.
    ads_url = "https://example.org/ads.json"    # url link to the JSON data

.. note::

    * You can set the values for either ``ads_path`` or ``ads_url`` and not both in your **conf.py** file.
    * Refer to the `Ads JSON file <http://sphinx-ads.useblocks.com/json-file.html>`_ documentation page for more information about the JSON file's data.

Create a **layout.html** file in the **_templates/** folder under your **docs/** folder. The HTML file should contain the following data:

.. code-block:: jinja

    {% extends "!layout.html" %}
    {% block footer %}
    {{ super() }}
    {{ advertisement() }}
    {% endblock %}