semvec/pypi-packages huggingface dataset:
tgx-cli 1.0.2
Tool that you can use to manage your TravelgateX platform
Keywords: travel b2b b2c graphql

# TravelgateX CLI

[![Python](https://img.shields.io/pypi/pyversions/tgx-cli.svg?maxAge=2592000)](https://pypi.python.org/pypi/tgx-cli)
[![Travis](https://api.travis-ci.org/travelgateX/tgx-cli.svg?branch=master)](https://travis-ci.org/travelgateX/tgx-cli)
[![Slack](https://slack.travelgatex.com/badge.svg)](https://slack.travelgatex.com)

Tool that you can use to manage your TravelgateX platform


## Installation

```bash
pip install tgx-cli
```

## Usage

```bash
tgx COMMAND
      Options:
          --endpoint              Gateway endpoint.
          --auth_type             ak or apikey, br or bearer
          --auth                  Auth Token

      Commands:
          organization            Create organization or an organization with apikey
          apikey                  Create apikey
          configure               Create a file with the credentials and run options

```

### Get Started

For usage and help content, pass in the `--help` parameter, for example:

```bash
$ tgx organization --help
$ tgx configure --mode TEST --endpoint https:// --auth_type br --auth useyourown
$ tgx organization create_all --user user@mail.com --organization_code XXX

```
sphinx-bulma-theme 0.2.9
0.2.9

Sphinx Bulma Theme
==================

A Sphinx theme based on the `RTD theme <https://github.com/rtfd/sphinx_rtd_theme>`_, built on top of `bulma.io <https://bulma.io>`_.

`Demo <https://sphinx-bulma-theme.readthedocs.io/>`_

.. image:: https://readthedocs.org/projects/sphinx-bulma-theme/badge/?version=latest
   :target: http://sphinx-bulma-theme.readthedocs.io/en/latest/?badge=latest
.. image:: https://travis-ci.org/gabrielfalcao/sphinx-bulma-theme.svg?branch=master
   :target: https://travis-ci.org/gabrielfalcao/sphinx-bulma-theme
.. image:: https://img.shields.io/pypi/pyversions/sphinx-bulma-theme.svg
   :target: https://pypi.python.org/pypi/sphinx-bulma-theme
.. image:: https://badges.gitter.im/gabrielfalcao/sphinx-bulma-theme.svg
   :target: https://gitter.im/gabrielfalcao/sphinx-bulma-theme?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge
.. image:: https://img.shields.io/badge/Say%20Thanks-!-1EAEDB.svg
   :target: https://saythanks.io/to/gabrielfalcao

Motivation
----------

Bulma has excellent `content markup <https://bulma.io/documentation/elements/content>`_ and great `message boxes <https://bulma.io/documentation/components/message/#colors>`_ for `admonitions <http://docutils.sourceforge.net/docs/ref/rst/directives.html#admonitions>`_

**WORK IN PROGRESS**



Installing
----------

.. code:: bash

   pip install sphinx-bulma-theme


Configuring
-----------

.. code:: python

   import sphinx_bulma_theme

   html_theme = "bulma"
   html_theme_path = [sphinx_bulma_theme.get_html_theme_path()]
   html_theme_options = {
       'logo_path': 'logo.png',  # within _static/
       'admonition_class': 'is-small',
       'analytics_id': None,
       'breadcrumbs_at_top': False,
       'canonical_url': None,
       'collapse_navigation': False,
       'content_margin_left': None,
       'content_padding_left': None,
       'content_padding_top': None,
       'display_version': True,
       'logo_only': False,
       'navigation_depth': 4,
       'prev_next_buttons_location': 'bottom',
       'show_topbar': False,
       'sidebar_class': 'has-text-dark',
       'sidebar_container_class': 'is-one-quarter',
       'sidebar_right': None,
       'theme_sidebar_style': None,
       'topbar_class': 'is-light',
       'topbar_logo_class': 'image is-32x32',
   }


Contributing
------------


.. code:: bash

   pipenv install --dev
   make watch
dharmSentiment 3.0.4
Basic usage script for dictionary-based sentiment analysis.    Intended use with labMT data. Modified for Dharmesh's personal use in CS 591 L1.

dharmSentiment
============

TL;DR
a simple labMT usage script co-opted to run for historical Twitter data.

This script uses the language assessment by Mechanical Turk (labMT) word list to score the happiness of a corpus. The labMT word list was created by combining the 5000 words most frequently appearing in four sources: Twitter, the New York Times, Google Books, and music lyrics, and then scoring the words for sentiment on Amazon's Mechanical Turk. The list is described in detail in the publication Dodds' et al. 2011, PLOS ONE, "Temporal Patterns of Happiness and Information in a Global-Scale Social Network: Hedonometrics and Twitter."