semvec/pypi-packages huggingface dataset:
llmshield-spanish-corpus 1.0.2
Spanish language corpus for LLMShield entity detection.
Requires Python: >=3.12
Keywords: llm, ai, security, privacy, nlp, corpus, spanish, llmshield

[![Upload Python Package](https://github.com/brainpolo/llmshield_english_corpus/actions/workflows/python-publish.yml/badge.svg)](https://github.com/brainpolo/llmshield_english_corpus/actions/workflows/python-publish.yml)

# LLMShield Spanish Corpus
macmod 0.2.3
A simple command-line tool to format MAC addresses in standard styles.
Requires Python: >=3.6

# modmac

A simple command-line tool to format MAC addresses in standard styles.

## Features

- Accepts MAC addresses in any common format.
- Outputs formatted MAC using `:`, `-`, or `.` separators.
- Copies the formatted MAC to the clipboard automatically.


## Installation

To install the package, run:

```
pip install macmod
```

## Usage

```
mac <separator> <MAC>
```

Where:

<separator> — one of .-:

<MAC> — input MAC address

Examples
```
> mac : 00-1A-2B-3C-4D-5E
00:1A:2B:3C:4D:5E  (copied to clipboard)

> mac - 001a.2b3c.4d5e
00-1A-2B-3C-4D-5E  (copied to clipboard)

> mac . 00-1A-2B-3C-4D-5E
001a.2b3c.4d5e  (copied to clipboard)

```
abcdf-toolkit 0.0.2
This is a library for summarizing the results of ab tests
Requires Python: >=3.09.0

# AB Toolkit 

AB Toolkit is a Python library for building event funnels, calculating conversions and visualizing results.

## Installation

pip install abcdf-toolkit

## Features

- **FunnelBuilder** — step-by-step funnel construction. Support for multi-events per step.

Statistics:

- **compute_step_stats** - z-test (two-sided and one-sided hypotheses) and p-value with Bonferroni correction  

Visualization:

— distributions and confidence intervals for groups and their differences.

Synthetic Data:

- **generate_synthetic_funnel** - generate data for using the funner with different features 

## Quick Start 

You can find examples [here](./examples.ipynb)