semvec/pypi-packages huggingface dataset:
pvcheetahdemo 3.0.0
Cheetah speech-to-text engine demos
Requires Python: >=3.9
Keywords: Speech-to-Text, ASR, Speech Recognition, Voice Recognition, Automatic Speech Recognition

# Cheetah Speech-to-Text Demos

Made in Vancouver, Canada by [Picovoice](https://picovoice.ai)

## Cheetah

Cheetah is an on-device streaming speech-to-text engine. Cheetah is:

- Private; All voice processing runs locally.
- [Accurate](https://picovoice.ai/docs/benchmark/stt/)
- [Compact and Computationally-Efficient](https://github.com/Picovoice/speech-to-text-benchmark#rtf)
- Cross-Platform:
    - Linux (x86_64), macOS (x86_64, arm64), and Windows (x86_64, arm64)
    - Android and iOS
    - Chrome, Safari, Firefox, and Edge
    - Raspberry Pi (3, 4, 5)

## Compatibility

- Python 3.9+
- Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64, arm64), and Raspberry Pi (3, 4, 5).

## Installation

```console
pip3 install pvcheetahdemo
```

## AccessKey

Cheetah requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Cheetah SDKs.
You can get your `AccessKey` for free. Make sure to keep your `AccessKey` secret.
Signup or Login to [Picovoice Console](https://console.picovoice.ai/) to get your `AccessKey`.

## Usage

### Microphone Demo

You need a working microphone connected to your machine for this demo. Run the following in the terminal:

```console
cheetah_demo_mic --access_key ${ACCESS_KEY}
```

Replace `${ACCESS_KEY}` with yours obtained from Picovoice Console.

### File Demo

Run the following in the terminal:

```console
cheetah_demo_file --access_key ${ACCESS_KEY} --wav_paths ${WAV_PATH}
```

Replace `${ACCESS_KEY}` with yours obtained from Picovoice Console and `${WAV_PATH}` with a path to a compatible
(single-channel, 16 kHz, 16-bit PCM) wav file you wish to transcribe.
BlackjackSim 1.0.0
BlackjackSim is a Blackjack card game simulator that can be played interactively or automatically to generate game-play statistics.
Requires Python: >=3.12
Keywords: console, desktop, simulator, Blackjack, game

# BlackjackSim

Source code: [GitHub](https://github.com/KevinRGeurts/BlackjackSim)
---
BlackjackSim is a Python implementation of the Blackjack card game. It allows interactive play with one player and a computer dealer.
It also includes a simulation mode where both the dealer and the player are played by the computer. Simulation mode can be used
to analyze different player strategies over many hands, and to generate game-play statistics. In simulation mode, the player uses
a play strategy described by Hoyle's Rules of Games.

## Credit where credit is due

- The Strategy design pattern is used to implement playing strategies, and follows the concepts, UML diagrams, and examples provided in
  "Design Patterns: Elements of Reusable Object-Oriented Software," by Eric Gamma, Richard Helm, Ralph Johnson,
  and John Vlissides, published by Addison-Wesley, 1995.
- The ```HoylePlayerPlayStrategy``` class implements the player strategy as described in "Hoyle's Rules of Games," by A.H. Morehead and G. Mott-Smith, second revised edition, published by Signet, 1983.

## Requirements
- UserResponseCollector>=1.0.4: [GitHub](https://github.com/KevinRGeurts/UserResponseCollector), [PyPi](https://pypi.org/project/UserResponseCollector/)
- HandsDecksCards>=1.0.0: [GitHub](https://github.com/KevinRGeurts/HandsDecksCards), [PyPi](https://pypi.org/project/HandsDecksCards/)

## Usage
To play the game interactively or to run various simulations:
```
python -m BlackjackSim.main
```
A menu of options for play and simulation will be presented.

## Unittests
Unit tests for BlackJackSim have filenames starting with test_. To run the unit tests,
type ```python -m unittest discover -s .\..\tests -v``` in a terminal window in the project directory.

## License
MIT License. See the LICENSE file for details
eth-rlp 3.0.0b1
eth-rlp: RLP definitions for common Ethereum objects in Python
Requires Python: <4,>=3.10
Keywords: ethereum

# eth-rlp

[![Join the conversation on Discord](https://img.shields.io/discord/809793915578089484?color=blue&label=chat&logo=discord&logoColor=white)](https://discord.gg/GHryRvPB84)
[![Build Status](https://circleci.com/gh/ethereum/eth-rlp.svg?style=shield)](https://circleci.com/gh/ethereum/eth-rlp)
[![PyPI version](https://badge.fury.io/py/eth-rlp.svg)](https://badge.fury.io/py/eth-rlp)
[![Python versions](https://img.shields.io/pypi/pyversions/eth-rlp.svg)](https://pypi.python.org/pypi/eth-rlp)
[![Docs build](https://readthedocs.org/projects/eth-rlp/badge/?version=latest)](https://eth-rlp.readthedocs.io/en/latest/?badge=latest)

RLP definitions for common Ethereum objects in Python

Read the [documentation](https://eth-rlp.readthedocs.io/).

View the [change log](https://eth-rlp.readthedocs.io/en/latest/release_notes.html).

## Installation

```sh
python -m pip install eth-rlp
```
trivial-records 0.0.4
Tiny library that parses and generates text containing lists of records.
Requires Python: >=3.12


# Trivial Records

A tiny library to parse and generate text containing lists of records.

## Why not just JSON?

It's a bit more convenient for the human; easier to write and read this:

```
Refactoring
author Martin Fowler
publisher Addison-Wesley

A Philosophy of Software Design
author John Ousterhout
publisher Yaknyam Press
```

than to write and read this:

```
{"Refactoring": {"author": "Martin Fowler", "publisher": "Addison-Wesley"}, "A Philosophy of Software Design": {"author": "John Ousterhout", "publisher": "Yaknyam Press"}}
```

or write this:

```
{
  "Refactoring": {
    "author": "Martin Fowler",
    "publisher": "Addison-Wesley"
  },
  "A Philosophy of Software Design": {
    "author": "John Ousterhout",
    "publisher": "Yaknyam Press"
  }
}
```

## What does it offer?

Not much, it's really trivial.

Functions `stream_to_record_dictionary` and `string_to_record_dictionary` give you a Python dictionary.

Functions `record_dictionary_to_string_generator` and `record_dictionary_to_string` take the Python dictionary and give you a string.
pvleoparddemo 3.0.0
Leopard speech-to-text engine demos
Requires Python: >=3.9
Keywords: Speech-to-Text, ASR, Speech Recognition, Voice Recognition, Automatic Speech Recognition

# Leopard Speech-to-Text Demos

Made in Vancouver, Canada by [Picovoice](https://picovoice.ai)

## Leopard

Leopard is an on-device speech-to-text engine. Leopard is:

- Private; All voice processing runs locally.
- [Accurate](https://picovoice.ai/docs/benchmark/stt/)
- [Compact and Computationally-Efficient](https://github.com/Picovoice/speech-to-text-benchmark#rtf)
- Cross-Platform:
  - Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64, arm64)
  - Android and iOS
  - Chrome, Safari, Firefox, and Edge
  - Raspberry Pi (3, 4, 5)

## Compatibility

- Python 3.9+
- Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64, arm64), and Raspberry Pi (3, 4, 5).

## Installation

```console
pip3 install pvleoparddemo
```

## AccessKey

Leopard requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Leopard SDKs.
You can get your `AccessKey` for free. Make sure to keep your `AccessKey` secret.
Signup or Login to [Picovoice Console](https://console.picovoice.ai/) to get your `AccessKey`.

## Usage

### File Demo

Run the following in the terminal:

```console
leopard_demo_file --access_key ${ACCESS_KEY} --wav_paths ${AUDIO_FILE_PATH}
```

Replace `${ACCESS_KEY}` with yours obtained from Picovoice Console and `${AUDIO_FILE_PATH}` with a path to an audio file you
wish to transcribe.

### Microphone Demo

You need a working microphone connected to your machine for this demo. Run the following in the terminal:

```console
leopard_demo_mic --access_key ${ACCESS_KEY}
```

Replace `${ACCESS_KEY}` with yours obtained from Picovoice Console. Once running, the demo prints:

```console
>>> Press `ENTER` to start:
```

Press `ENTER` key and wait for the following message in the terminal:

```console
>>> Recording ... Press `ENTER` to stop:
```

Now start recording and when done press `ENTER` key to get the transcription.