semvec/pypi-packages huggingface dataset:
cgal-pybind 0.1.6
Python bindings for some CGAL classes
Requires Python: >=3.8

Overview:
=========

Some CGAL_ Python bindings built with pybind11_.
This includes some auxiliary functions, as well, as mentioned in the CGAL-free portion.

CGAL Methods:
=============

* Skeletonization/contraction
* Segmentation
* Discrete authalic parametrization of surface mesh

BBP Atlas tools (CGAL-free)
===========================

* Volume slicer (used to split the layer 2/3 of the AIBS mouse isocortex)
* Streamlines intersector (used for flat mapping of brain regions)
* Thickness estimator (used for placement hints computation)
* Utils: a 3D vector field interpolator (trilinear interpolation)

Installation
============

If one is on a Linux platform, one should be able to use the compiled Python wheels.
This is the recommended way.
Otherwise, use the developer instructions to try and install it that way.

.. code-block:: bash

    $ pip install cgal-pybind

Examples
========

Several examples are available in the rendered ipython notebook:
https://github.com/BlueBrain/cgal-pybind/blob/main/examples/Examples.ipynb

Tests
=====

.. code-block:: bash

    pip install tox
    tox

Requirements
============

* cmake > 3.0.9
* C++ compiler (with C++17 support)
* Boost
* CGAL header
* Eigen3

Unit tests requirement:
=======================

* trimesh Python package

Developer instructions
======================

It is assumed that the develop has installed the C++ requirements as noted above.

CGAL_ in header only format can be used, but it still will require dependencies.
These include things like *eigen3-devel*, *gmp-devel*, *mpfr-devel* on RedHat like Linux systems.
On modern Debian systems, *libcgal-dev* and *libeigen3-dev*  can be used instead of downloading the CGAL library.
More information can be found on the CGAL_ installation getting started https://doc.cgal.org/latest/Manual/usage.html

.. code-block:: bash

    # if CGAL header-only is used, if using system packages, skip the following two lines.
    git clone https://github.com/CGAL/cgal.git $TARGET_CGAL_DIRECTORY
    export CGAL_DIR=$TARGET_CGAL_DIRECTORY

    git clone https://github.com/BlueBrain/cgal-pybind
    cd cgal-pybind
    git submodule init
    git submodule update
    pip install .



Acknowledgements
================

The development of this software was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL), from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology.

For license and authors, see LICENSE.txt and AUTHORS.txt respectively.

Copyright (c) 2022-2024 Blue Brain Project/EPFL

.. _CGAL: https://www.cgal.org/
.. _pybind11: https://pybind11.readthedocs.io
TineAutomationToolkit 1.4.0
Test Library for TineAutomationToolkit
Requires Python: >=3.6

# TineAutomationToolkit
TineAutomationToolkit is a comprehensive automation toolkit designed to streamline and enhance the testing and development process for mobile applications. With a focus on integrating seamlessly with Appium and Flutter, this toolkit provides a robust set of tools and utilities to simplify the automation of mobile app testing.

# Key Features:
1.Appium Integration: Seamlessly integrate with Appium to automate testing for Android and iOS applications.<br>
2.Flutter Support: Enhance testing capabilities for Flutter apps with dedicated tools and utilities.<br>
3.Cross-Platform Compatibility: Ensure consistent testing experience across multiple platforms and devices.<br>
4.User-Friendly Interface: Simplify the testing process with an intuitive and easy-to-use interface.<br>
5.Customizable Framework: Tailor the toolkit to fit your specific testing needs with customizable options and settings.<br>
6.Continuous Updates: Stay up-to-date with the latest advancements in mobile app testing with regular updates and improvements.<br>

# Optimize Your Mobile App Testing Workflow with TineAutomationToolkit

TineAutomationToolkit is the perfect solution for developers and testers looking to optimize their mobile app testing workflow. Whether you're working with native Android or iOS apps, or utilizing the power of Flutter, this toolkit provides the tools you need to achieve efficient and effective automation testing.

Cr: Deverlop from https://pypi.org/project/robotframework-appiumlibrary/<br>
Cr: Deverlop from https://pypi.org/project/robotframework-appiumflutterlibrary/
taskwarrior_flow 0.5.2
Set of helpers for improving Taskwarrior workflow
Requires Python: <4.0,>=3.10

# Taskwarrior Flow (TWF)

Taskwarrior Flow (TWF) is a plugin designed to enhance your Taskwarrior workflow by providing a set of utilities accessible via the command-line interface (CLI). Whether you're managing tasks, creating queries, or working with templates, TWF aims to streamline your Taskwarrior experience.

## Installation

### Using pipx

```shell
pipx install taskwarrior_flow
```

## Usage

Please see the [USAGE.md](./USAGE.md) for more information

## Features

### Query

Allow users to save common queries that can be used to search tasks easily.
For example, `project:Work +scopeA +scopeB due:today+2days`

### Task template

Allow users to save templates that can be used to create tasks easily

### Multiple task groups

Instead of having one task database (i.e. $HOME/.task/), using `twf [GROUP] [Taskwarrior commands]` will allow users to use different task databases (i.e. $HOME/.task_[GROUP])

### Natural date parsing

Users can specify dates in natural language, such as "tomorrow", "next week", "last year", etc.

- In the template, users can define fields to be date, this enables natural date parsing
- In task group, users can use a special syntax to specify dates, such as `due:@tomorrow at 2pm@`

## Related tools

- This CLI is a complementary tool for [taskwarrior](https://taskwarrior.org)
- This CLI is designed to work well with my [taskwarrior Neovim Plugin](https://github.com/huantrinh1802/m_taskwarrior_d.nvim)