semvec/pypi-packages huggingface dataset:
meta-qubit 1.0.2
Βιβλιοθήκη για δημιουργία και εκτέλεση κβαντικών κυκλωμάτων
Requires Python: >=3.6

# MetaQubit Library

## Ξ•Ξ³ΞΊΞ±Ο„Ξ¬ΟƒΟ„Ξ±ΟƒΞ·
```bash
pip install meta_qubit

from meta_qubit import MetaQubit

qubit = MetaQubit(num_qubits=4)
print(meta_qubit.run_circuit())
krakenpull 3.0.0
A user friendly Kraken API client using pydantic 🐙
Requires Python: <4.0,>=3.9

# Kraken-pull

## A user friendly Kraken API client using pydantic 🐙

### Installation 💿

The easiest way to use krakenpull is to install via pip:

```shell
pip install krakenpull
```

### Usage 🪚

Initialize a kraken client:

```python
from krakenpull import Kraken

client = Kraken(key, private_key)
```

Common methods and features:

```python
# get account balance
balances = client.get_account_balance()
print(balances) # {Currency.XBT: 5.23}

# get closed orders
closed_orders = client.get_closed_orders()
print(closed_orders) # [ClosedTransactions(...), ...]

# get order book
from krakenpull import Currency
order_book = client.get_order_book(currency_pair=(Currency.XBT, Currency.USD))
print(order_book) # {"asks": ["69854.10000", "17.384", 1711832989], "bids": ["69854.00000", "0.015", 1711832988]} 
```

### Contributing 🧑‍💻

Issues, PRs and other contributions are always welcome.

Please note this repository uses black for formatting, ruff for linting and mypy for type checking.

Pre-commit hooks help to make committing easier by automating running black and ruff so if you want to 
make use of them, you can install them by using the following commands:

```shell
brew install pre-commit
pre-commit install --install-hooks
pre-commit install --hook-type commit-msg
```
mcp-server-home-assistant 0.1.0
A Model Context Protocol Server for Home Assistant
Requires Python: >=3.11

# mcp-server-home-assistant

A Model Context Protocol Server for Home Assistant. See [Model Context Protocol](https://modelcontextprotocol.io/)
for context.

## Usage in Claude Desktop

1. Install the [home-assistant-model-context-protocol](https://github.com/allenporter/home-assistant-model-context-protocol) custom component in your Home Assistant instance
1. Create a [Long Lived Access Token](https://www.home-assistant.io/docs/authentication/#your-account-profile)
1. Clone this git repo to a path like `/Users/allen/Development/mcp-server-home-assistant`
1. Edit your `claude_desktop_config.json` with something like this and include your home assistant url and api token:

    ```json
    {
        "mcpServers": {
            "Home-assistant": {
                "command": "uv",
                "args": [
                    "--directory",
                    "/Users/allen/Development/mcp-server-home-assistant",
                    "run",
                    "mcp-server-home-assistant",
                    "-v",
                    "-v"
                ],
                "env": {
                    "HOME_ASSISTANT_WEB_SOCKET_URL": "http://localhost:8123/api/websocket",
                    "HOME_ASSISTANT_API_TOKEN": "byJhbVci0iJIUzI1ii1sInR5cCI6IkpXVCJ9.....
                }
            }
        }
    }
    ```
1. You can view the logs e.g. `~Library/Logs/Claude/mcp-server-Home-assistant.log` to understand what is happening
PyNeb 1.1.22
Nebular tools

PyNeb (Luridiana V., Morisset C. and Shaw, R. A 2013) is a modern python tool to compute emission line emissivities (recombination and collisionally excited lines).

In PyNeb, the atom is represented as an n-level atom. For given density and temperature, PyNeb's machinery solves the equilibrium equations and determines the level populations. These are some of the things it can do:

* compute physical conditions from suitable diagnostic line ratios.
* compute level populations, critical densities and line emissivities 
* compute and display emissivity grids as a function of Te and Ne
* deredden line intensities
* read and manage observational data
* plot and compare atomic data from different publications
* compute ionic abundances from line intensities and physical conditions
* compute elemental abundances from ionic abundances and icfs.

PyNeb also incorporates emissivity tables of recombination lines for a few atoms. The interpolated emissivities can be used by any of the module that rely on the n-level line emissivities to carry out the actions listed above.

Emission line ratios are used to self consistently determine electron temperature and density and ionic abundances
Diagnostic diagrams can easily be plotted.
Various ionization correction factors (ICFs) from the literarure are available to obtain total elemental abundances from the ionic abundances.
Atomic data can easily be changed and updated.
Additional tools are provided, like reddening determination and correction procedures, Balmer/Pashen jump 
temperature determinations.

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

PyNeb uses numpy, matplotlib, pyfits, scipy and other standard python libraries.

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

You may find useful to download, install and upgrade PyNeb using `pip <http://www.pip-installer.org/en/latest/index.html>`_.

For example:

* pip install -U PyNeb

Note: you MAY need --user if you installed python without Anaconda or Canopy

Updates use the same command.

You can also install from the github repository:

* pip install -U git+https://github.com/Morisset/PyNeb_devel.git

To use the development branch (at your own risks!!!):

* pip install -U git+https://github.com/Morisset/PyNeb_devel.git@devel

Warranty
========

PyNeb is provided as it is. No warranty at all.

Manual
======

* The manuals are here: `<https://github.com/Morisset/PyNeb_devel/tree/master/docs>`_.

* The reference manual is accessible from `<http://morisset.github.io/PyNeb_devel/>`_. 

Discussion Groups
=================
* https://groups.google.com/forum/#!forum/pyneb
* Send a mail to the group: pyneb@googlegroups.com

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

This project is partly supported by grants DGAPA/PAPIIT-107215 and CONACyT-CB2015-254132.

PyNeb uses part of Chiantipy:

* Utility functions, many for reading the CHIANTI database files:

Copyright 2009, 2010 Kenneth P. Dere
This software is distributed under the terms of the GNU General Public License that is found in the LICENSE file

* FortranFormat: Written by Konrad Hinsen <hinsen@cnrs-orleans.fr> With contributions from Andreas Prlic <andreas@came.sbg.ac.at> last revision: 2006-6-23