semvec/pypi-packages huggingface dataset:
nemesispy 0.0.10
Tools for modelling exoplanet spectra

This library contains routines for simulating and fitting
exoplanet emission spectra at arbitrary orbital phase,
thereby constraining the thermal structure and chemical
abundance of exoplanet atmospheres. It is also capable
of fitting emission spectra at multiple orbital phases
(phase curves) at the same time. This package
comes ready with some spectral data and General Circulation
Model (GCM) )data so you could start simulating spectra
straight away. There are a few demonstration routines in
the `nemesispy` folder; in particular `demo_fit_eclipse.py`
contains an interactive plot routine which allows you
to fit a hot Jupiter eclipse spectrum by hand by varying
its chemical abundance and temperature profile. This package
can be easily integrated with a Bayesian sampler, in particular
`MultiNest` for a full spectral retrieval.

The radiative transfer calculations are done with the
correlated-k approximation, and are accelerated with the
`numba` just-in-time compiler to match the speed of
compiled languages such as Fortran. The radiative transfer
routines are based on the well-tested [Nemesis](https://github.com/nemesiscode) library developed
by Patrick Irwin (University of Oxford) and collaborators.

This package has the following advantageous features:

* Highly portable and customisable compared
  to packages written in compiled languages, and
  can be easily installed on computer clusters.
* Fast calculation speed due to just-in-time
  compilation, which compiles Python code to machine
  code at run time.
* Radiative transfer routines are benchmarked against
  the extensively used [Nemesis](https://github.com/nemesiscode) library.
* Contains interactive plotting routines that allows you
  to visualise the impact of gas abundance and thermal
  structure on the emission spectra.
* Contains routine to simulate spectra from General
  Circulation Models (GCMs).
* Contains unit tests so that you could check if the
  the code is working properly after your modifications.
brickshelper 1.0.2
A Python package for helping with databricks related work
Requires Python: >=3.8

# Introduction 
TODO: Give a short introduction of your project. Let this section explain the objectives or the motivation behind this project. 

# Getting Started
TODO: Guide users through getting your code up and running on their own system. In this section you can talk about:
1.	Installation process
2.	Software dependencies
3.	Latest releases
4.	API references

# Build and Test
TODO: Describe and show how to build your code and run the tests. 

# Contribute
TODO: Explain how other users and developers can contribute to make your code better. 

If you want to learn more about creating good readme files then refer the following [guidelines](https://docs.microsoft.com/en-us/azure/devops/repos/git/create-a-readme?view=azure-devops). You can also seek inspiration from the below readme files:
- [ASP.NET Core](https://github.com/aspnet/Home)
- [Visual Studio Code](https://github.com/Microsoft/vscode)
- [Chakra Core](https://github.com/Microsoft/ChakraCore)
npr-cli 0.1.3
A simple npr streaming cli
Requires Python: >=3.10

# npr-cli

A simple cli for streaming your favorite npr stations.

## Installation

```bash
pip install npr-cli
```

Installation requires VLC, homebrew instructions can be found [here](https://formulae.brew.sh/cask/vlc).

## Usage

```bash
npr

npr up # start the npr daemon
npr down  # stop the npr daemon

npr search # search stations by name, call or zip code.
npr search -q <your search> # search stations directly.

npr play # play your latest stream.
npr stop # stop streaming

npr favorites # select a stream from your favorites.
```

## TODO:
- Better handling of daemon, launchd/systemd
- Run daemon behind gunicorn/uvicorn
- Allow over writing of last line in terminal, a giant stack of commands is ugly.
- Create a "Now Playing" page to display known metadata about a stream
- `npr report` to report errors as issues in GH.
    - report streams that wont play
        - acceptance criteria:
            - should read `.npr/log/error.log` and send content as part of issue
            - should send stream object.
            - should not create issues for open issues with the same stream
    - report recent errors, this is long term

## Issues

Please report any bugs you encounter as issues to this repository.
SimpleParse 2.2.4
A Parser Generator for Python (w/mxTextTools derivative)
Keywords: parse,parser,parsing,text,ebnf,grammar,generator

A Parser Generator for Python (w/mxTextTools derivative)

Provides a moderately fast parser generator for use with Python,
includes a forked version of the mxTextTools text-processing library
modified to eliminate recursive operation and fix a number of 
undesirable behaviours.

Converts EBNF grammars directly to single-pass parsers for many
largely deterministic grammars.