semvec/pypi-packages huggingface dataset:
atsphinx-og-article 0.2.1
Support article tpye's properties of Open Graph for Sphinx.

===================
atsphinx-og-article
===================

.. image:: https://img.shields.io/pypi/v/atsphinx-og-article.svg
   :target: https://pypi.org/project/atsphinx-og-article/
   :alt: Stable version on PyPI

.. image:: https://github.com/atsphinx/og-article/actions/workflows/main.yml/badge.svg
   :target: https://github.com/atsphinx/og-article/actions
   :alt: "Continuous Integration" status for main branch

.. image:: https://readthedocs.org/projects/atsphinx-og-article/badge/?version=latest
   :target: https://atsphinx-og-article.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation status

Support article tpye's properties of Open Graph for Sphinx.

Overview
========

This is Sphinx extension to handle properties of article typeof Open Graph.

You can add ``og-article`` directive with some options.

.. code:: rst

   .. og-article::
      :published_time: 2023-05-07
      :modified_time: 2023-05-07 12:00:00

When it runs builder with this directive,
your html file is generated included `<meta property="article:published_time">` and more properties.

Getting started
===============

Install from PyPI.

.. code: console

   pip install atsphinx-og-article

Configure your ``conf.py``.

.. code: python

   extensions = [
       # After other extensions.
       "atsphinx.og_article",
   ]

Append ``og-article`` directive into your document.

Important note
==============

This extension renders only ``article:*`` properties, and does not render ``og:*`` properties.

I recommend to install ``sphinxext-opengraph`` too.

Ref
===

- `Globally defined properties on OGP site. <https://ogp.me/#type_article>`_
- `sphinxext-opengraph <https://pypi.org/project/sphinxext-opengraph/>`_
finny-scraper 0.9
A package for scraping property information from Finny website

# rfin_scraper
a scraper for basic property info on the MLS

This can be installed into a project using pip install finny_scrapper in a Python project

A new instance of a property class must be created and a redfin url must be passed as the only argument.

The accessible methods are:

get_property_image() - returns the first image in the property listing as a string
get_listing_price() - returns an integer of the current listed property price
get_property_type() - returns a string that will be something like "Single Family" or "Multifamily (2-4)" or "C, (2-4)," etc.
get_number_of_units() - returns an integer of units on the property. Single Family = 1, Duplex = 2. There are some bugs with condos
get_property_info() - return an object with all of the above info in a dictionary
pymx2 0.1.6
A Python driver to communicate with an Omron MX2 inverter through Modbus
Requires Python: >=3.9
Keywords: omron,mx2,inverter

# pymx2

This is a python driver to communicate with an Omron MX2 inverter through Modbus ([manufacturer's page](https://industrial.omron.eu/en/products/mx2)). It is based on datasheet rev.2 (Jan 2013).

## Requirements

- An RS-485 adapter
- [pySerial](https://pypi.org/project/pyserial)

## What is provided

- Commands to handle low-level functions provided by the inverter:
  - Read coil status (01h)
  - Read holding register (03h)
  - Write in coil (05h)
  - Write in holding register (06h)
  - Loopback test (08h)
  - Write in coils (0Fh)
  - Write in holding registers (10h)
  - Read/write in holding registers (17h)
- A list of available coils and registers in the form of enums in mx2.enums:
  - Coil: list of coil addresses
  - ModbusRegisters: registers available only through Modbus
  - StandardFunctions: A group registers as described in datasheet pp. 90-120
  - FineTuningFunctions: B group registers (pp. 121-153)
  - IntelligentTerminalFunctions: C group registers (pp. 153-171)
  - MonitoringFunctions: D group registers (pp. 74-88)
  - MainProfileParameters: F group registers (p. 89)
  - MotorConstantsFunctions: H group registers (pp. 172-178)
  - OtherParameters: P group registers (pp. 179-190)
  - SecondMotorFunctions: registers from different groups assigned to 2nd motor configuration
- Data types to handle returned values and keep tracks of associated coils and registers:
  - CoilValue: holds a reference to a coil address and a boolean value
  - RegisterValue: holds a reference to a register address and an integer value

There are so many separate coils and registers that I didn't find appropriate to create a class method for each of them. Allowed values and units for each register can be found in the relevant datasheet pages. Register sizes are handled automatically.
An exception is made for fault monitors, for which as specific class method is provided.
Several examples are available in the [examples](examples) folder.
API documentation can be found within the code or in the *docs* folder (see [below](#api)).
Don't hesitate to report bugs [here](https://github.com/vpaeder/pymx2/issues).

## Setup

You can download a release from pypi using pip or clone this repository and install manually.

### From pypi

From command line, use:

```bash
python -m pip install pymx2
```

### From repository

From command line, use:

```bash
git clone https://github.com/vpaeder/pymx2.git
cd pymx2
python -m setup.py install
```

## Examples

See [examples](examples) folder.

## Tests

The [tests](tests) folder contains unit tests for most of the aspects of this package. To run them, use:

```bash
python -m unittest
```

## API

You can find docs in the [docs](docs) folder (generated from python docstrings). Alternatively, you can rely on python docstrings

1) either from the command line, use pydoc:

```bash
python -m pydoc mx2
```

2) or from within python:

```python
import mx2; help(mx2)
```
h2o-nitro-bokeh 0.2.2
Bokeh plugin for H2O Nitro
Requires Python: >=3.7

# Bokeh plugin for H2O Nitro

This plugin lets you use [Bokeh](https://docs.bokeh.org/en/latest/) visualizations in [Nitro](https://github.com/h2oai/nitro)
apps.

## Demo

![Demo](demo.gif)

[View source](examples/bokeh_basic.py).

## Install

```
pip install h2o-nitro-bokeh
```

## Usage

1. Import the plugin:

```py 
from h2o_nitro_bokeh import bokeh_plugin, bokeh_box
```

2. Register the plugin:

```py 
nitro = View(main, title='My App', caption='v1.0', plugins=[bokeh_plugin()])
```

3. Use the plugin:

```py 
# Make a plot
x = [1, 2, 3, 4, 5]
y = [6, 7, 2, 4, 5]
p = figure(title="Simple line example", x_axis_label="x", y_axis_label="y")
p.line(x, y, legend_label="Temp.", line_width=2)

# Display the plot
view(bokeh_box(p))
```

## Change Log

- v0.2.1 - Jun 09, 2022
    - Fixed
        - Don't return value from plots.
- v0.2.0 - May 39, 2022
    - Perf
        - Quicker loading
- v0.1.0 - May 25, 2022
    - Initial Version