semvec/pypi-packages huggingface dataset:
ntscli-client 3.1.4
NTS-CLI - The Netflix Test Studio Command Line Interface (NTS-CLI) offers an alternative method for testing your Netflix application.
Requires Python: >=3.8

# NTS-CLI - The Netflix Test Studio Command Line Interface (NTS-CLI) offers an alternative method for testing your Netflix application.

## Install

```shell script
pip3 install ntscli-client
```

Internal users can leverage the following command to pull builds including internal package extras

```shell script
pip3 install 'ntscli-client[internal]'
```

## Usage

All NTS-CLI commands have --help options to document their usage

```shell script
nts --help
```

# Local Development

## Setup

```shell script
# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate

# Install for Netflix internal development (includes all test and dev tools)
pip install -e '.[internal]'

# Or install base CLI only (external user experience)
pip install -e .
```

## Running Tests

```shell script
# Run tests
pytest

# With coverage
pytest --cov
```

## Teardown

To clean up the virtual environment when you're done:

```shell script
# Deactivate the virtual environment
deactivate

# Remove the virtual environment directory
rm -rf .venv
```

# CI/CD

[Living Lucid document of NTS-CLI CI/CD](https://lucid.app/lucidchart/7f08dc8e-571d-4409-8bb9-036ad1c6c876/edit?viewport_loc=-802%2C-532%2C3741%2C2030%2C0_0&invitationId=inv_82b9b5de-6b77-4fd3-9897-2ed4b45e1013)
popsummary 0.1.0
A Python API for interfacing with standardized LIGO-Virgo-KAGRA Rates and Populations results
Requires Python: >=3.9

# popsummary
A Python API for interfacing with standardized LIGO-Virgo-KAGRA Rates and Populations results. 

## Description
Hierarchical population inference of gravitational wave sources results in a number of standard data products. `popsummary` defines a standardized hdf5-based format for these results. The Python API enables reading and writing to this format and depends primarily on `h5py` and `numpy`. 

## Installation
### Via pip (recommended):
```
pip install popsummary
```
### Via conda-forge (coming soon):
```
conda install -c conda-forge popsummary
```
### From Source:
```
git clone https://git.ligo.org/RatesAndPopulations/popsummary.git
cd popsummary
pip install .
```

## Usage
See the examples folder for a tutorial notebook and other basic examples in python.

## Support
Feel free to leave a [git issue](https://git.ligo.org/RatesAndPopulations/popsummary/-/issues/new) if you encounter any problems or have any feature requests. Also see our [wiki page](https://git.ligo.org/RatesAndPopulations/popsummary/-/wikis/home) for more information.

## Authors and acknowledgment
### Primary Authors
* Christian Adamcewicz
* Storm Colloms (Reviewer)
* Zoheyr Doctor 

### Contributors
* Colm Talbot
* Tom Callister