semvec/pypi-packages huggingface dataset:
m2p 0.1.8.3
Library for creating polymer structures from monomers using SMILES strings

# Monomers to Polymers (m2p)

A simple interface for converting monomers to polymers using SMILES representation.

## Related Work

1. [Convolutional Networks on Graphs for Learning Molecular Fingerprints](https://arxiv.org/abs/1509.09292)
2. [Neural Message Passing for Quantum Chemistry](https://arxiv.org/pdf/1704.01212.pdf)
3. [Relational inductive biases, deep learning, and graph networks](https://arxiv.org/abs/1806.01261)
4. [Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials](https://arxiv.org/abs/1806.03146)

## (Main) Requirements

Rdkit install can be performed per the following information.
- [rdkit](http://www.rdkit.org/docs/Install.html)

To install rdkit via conda, use:
```conda install -c rdkit rdkit```

## Getting started

The library uses known reaction chemistries to build polymer chains from monomers. The polymer chemistries available include vinyls, acrylates, esters, amides, imides, and carbonates.

The library can generate multiple replicate structures to create polymer chains represented at the atom and bond level. The chains can be any degree of polymerization (DP). RDKit reaction smarts are used to manipulate the molecular structures and perform *in silico* reactions.
arcam-fmj 2.0.0
A python library for speaking to Arcam receivers
Requires Python: >=3.11

********************************
Arcam IP Control
********************************
This module supports controlling an Arcam FMJ receiver (as well as JBL and AudioControl processors) over the network.
It's built mainly for use with the Home Assistant project, but should work for other projects as well.

Status
______
.. image:: https://github.com/elupus/arcam_fmj/actions/workflows/python-package.yml/badge.svg
    :target: https://github.com/elupus/arcam_fmj/actions

Module
======

Code to set volume and source using library.

.. code-block:: python


    async def run():

        host = '192.168.0.2'
        port = '50000'
        zone = 1

        volume = 50
        source = SourceCodes.PVR

        client = Client(host, port)
        async with ClientContext(client):
            state = State(client, zone)

            await state.set_volume(volume)
            await state.set_source(source)

    loop = asyncio.get_event_loop()
    loop.run_until_complete (run())


Console
=======

The module contains a commandline utility to test and request data from
called ``arcam-fmj``.

Code to set volume and source using console.

.. code-block:: bash


    arcam-fmj state --host 192.168.0.2 --port 50000 --source 5 --volume 50
pyoeis3 1.1.5
Python3 interface to the OEIS
Requires Python: >=3.0

# PyOEIS3

PyOEIS3 is a module for interfacing with the [Online Encyclopedia of Integer Sequences](http://oeis.org)

PyOEIS provides several methods to search the `Online
Encyclopedia of Integer Sequences with Python (OEIS)
<http://www.oeis.org>`\_. It also allows for access
the information contained within individual sequence
entries, obtained by the querying methods
provided.

It is a fork of [PyOEIS](https://github.com/whonut/PyOEIS), which is no longer maintained and is incompatible
with modern versions of python3 because it relies on a deprecated tool for building python 3 modules from
python2 source code. Thanks to @whonut for the original module, but I'm releasing a modern variant.

## Installation

The easiest way to install is with [pip](https://pip.pypa.io/en/latest/).

    $ pip install pyoeis3

## Documentation

Documentation can be found in the following places (links to the docs of the original, this is currently
a direct port):

- [Read The Docs](http://pyoeis.readthedocs.org)
- [Python Hosted](https://pythonhosted.org/pyoeis)
medusa-sdl 0.1.9
MEDUSA: Modular, Expandable Discovery and Understanding Synthesis Apparatus
Requires Python: >=3.10
Keywords: chemistry, synthesis, laboratory, automation, medusa, scientific, engineering

# themachine-pycontrol
[![GitHub license](https://img.shields.io/github/license/aspuru-guzik-group/themachine-pycontrol.svg)](https://github.com/aspuru-guzik-group/themachine-pycontrol/blob/main/LICENSE)
[![GitHub version](https://img.shields.io/github/v/tag/aspuru-guzik-group/themachine-pycontrol)](https://github.com/spuru-guzik-group/themachine-pycontrol/releases/)
![Windows](https://svgshare.com/i/ZhY.svg)

Repository for Python control of The Machine synthesis robot