semvec/pypi-packages huggingface dataset:
mpl-trajectory 1.0.0
A small package for matplotlib to show movement of trajectories in the form of animations.
License: MIT
Requires Python: >=3.6

# mpl_trajectory

You can read the docs from this badge
[![Documentation Status](https://readthedocs.org/projects/mpl-trajectory/badge/?version=latest)](https://mpl-trajectory.readthedocs.io/en/latest/?badge=latest)
# Table of Contents
1. [What Is This](#What_Is_This)
2. [Examples](#Examples)
3. [Install](#Install)

# What Is This
mpl_trajectory helps to plot particle trajectories as animations in matplotlib.

It can show show 3D trajectories by using the third axis as colour.

It can output a static graph or animation of the trajectories.
 

# Examples
## Sine Motion
Here is an example of using the code to display two sine waves.
<pre><code>from mpl_trajectory import trajectory
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib qt

plt.style.use('dark_background')

x1 = np.linspace(0,40,1500)
y1 = -5*np.sin(x1)
dydx_1 = -5*np.cos(x1)

x2 = np.linspace(0,40,1500)
y2 = 5*np.sin(x1)
dydx_2 = 5*np.cos(x1)

Traj = trajectory()
Traj.plot3D(x1,y1, dydx_1)
Traj.plot3D(x2,y2, dydx_2)
</code></pre>

<pre><code>Traj.ShowAnimation(with_color = True, z_axis=[-5,5], link_data = [[1,2]])</code></pre>

![Alt Text](https://raw.githubusercontent.com/Hitthesurf/mpl_trajectory/master/Examples/GIF/Sine_Wave_example.gif?raw=true)

## Spiral
Here is an example of a spiral
<pre><code>from mpl_trajectory import trajectory
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib qt

plt.style.use('dark_background')
theta = np.linspace(0,18*np.pi,1500)
r = np.linspace(0,9,1500)

x = r*np.cos(theta)
y = r*np.sin(theta)

Traj_2 = trajectory()
Traj_2.plot3D(x,y)
</code></pre>
<pre><code>Traj_2.ShowAnimation(follow_mass = -3, size = 9)</code></pre>
![Alt Text](https://raw.githubusercontent.com/Hitthesurf/mpl_trajectory/master/Examples/GIF/Spiral_Motion_Example.gif?raw=true)
<pre><code>Traj_2.ShowStatic(with_color = True)</code></pre>
![Alt Text](https://raw.githubusercontent.com/Hitthesurf/mpl_trajectory/master/Examples/PNG/Static_Spiral_with_color.png?raw=true)
# Install

You can use pip to install
<pre><code>pip install mpl-trajectory</code></pre>

## Spyder
You must run
<pre><code>%matplotlib qt</code></pre>
The graph will pop up in a window

## Jupyter Notebook
You can run 
<pre><code>%matplotlib qt</code></pre>
The graph will pop up in a window

Or
<pre><code>%matplotlib notebook</code></pre>
This will make the animation or graph appear in the cell bellow.

## Saving
If you want to save animations you must have ffmpeg for your system.
cert-core-bloxberg 2.1.2
Blockcerts-bloxberg core models for python
License: MIT

[![Build Status](https://travis-ci.org/blockchain-certificates/cert-core.svg?branch=master)](https://travis-ci.org/blockchain-certificates/cert-core)
[![PyPI version](https://badge.fury.io/py/cert-core.svg)](https://badge.fury.io/py/cert-core)

# cert-core
This python library contains common Blockcerts models and accessors used by other Blockcerts python libraries.

Subpackages:

## cert-model

Parses different versions of Blockcerts JSON files into a common Certificate model.

## cert-store

Blockchain certificate storage. This is used as a library in the cert-viewer project.

The certificate storage interface is [simplekv](https://pypi.python.org/pypi/simplekv/). The default configurations 
use the FilesystemStore, which is highly recommended if you are getting started. This makes it easier to issue,
copy, and view your Blockchain Certificates.

## Certificate Storage Configuration

The certificate storage location can be modified with the following configuration entries in your `conf.ini` file:

- `cert_store_type`: which key-value backing store to use. Current supported values are:
  - `simplekv_fs`: (Default) file system store
  - `simplekv_gridfs`: (Advanced) gridfs store
- `cert_store_path`: file system path if using `simplekv_fs`
- `mongodb_uri`: mongo db uri (including db name) if using `simplekv_gridfs`


Example File System config:

```
cert_store_type = simplekv_fs
cert_store_path = ./cert_data
```

Example GridFS config (Advanced):

```
cert_store_type = simplekv_gridfs
mongodb_uri = mongodb://localhost:27017/test
```


### Legacy options

**Warning**

Most users should ignore these instructions, which are only included as a temporary bridge for earlier users of blockcerts. We recommend migrating to the latest version of Blockcerts. 

### V1 Aware Certificate Store

Warning: avoid this option unless you are sure you need it. Earlier versions of the Blockchain Certificate
required a separate storage of the certificate transaction id. That was managed in a `certificates` mongo db table.

The `--v1_aware` flag allows support for these certificates.


## Running the python code locally

1. Ensure you have an python environment. [Recommendations](https://github.com/blockchain-certificates/cert-issuer/blob/master/docs/virtualenv.md)

2. Git clone the repository and change to the directory

  ```bash
  git clone https://github.com/blockchain-certificates/cert-core.git && cd cert-core
  ```

3. Run cert-core setup

  ```bash
  pip install .
  ```

## Unit tests

This project uses tox to validate against several python environments.

1. Ensure you have an python environment. [Recommendations](https://github.com/blockchain-certificates/cert-issuer/blob/master/docs/virtualenv.md)

2. Run tests
    ```
    ./run_tests.sh
    ```

## Publishing package to pypi

- [First time info](http://peterdowns.com/posts/first-time-with-pypi.html)
- Publish script: `./release_package.sh`

## Contact

Contact us at [the Blockcerts community forum](http://community.blockcerts.org/).
pj-rf-testrail 0.0.2
Update Test Rail execution status using Robot Framework..
License: MIT

RobotTestRailUpdate
===============

Update Test Rail execution status using Robot Framework.

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

The recommended installation method is pip:

    pip install robotframework-notifications

Running this command installs also the latest version of Requests

Import Library
-----

To use RobotSlackNotifications in Robot Framework, the library needs to be imported using the ``Library`` setting as any other library. The library needs the webhook url from Slack or Mattermost as an argument.

You can retrieve this webhook url in Slack or Mattermost.

Slack

> https://slack.com/intl/en-lv/help/articles/115005265063-incoming-webhooks-for-slack

Mattermost

>  https://docs.mattermost.com/developer/webhooks-incoming.html#simple-incoming-webhook 

Usage
-----

Import library then add it on the listener during Robot Framework test run.