semvec/pypi-packages huggingface dataset:
pyPCIe 0.1.2
Simple Python module to access PCIe devices
Keywords: python, pcie

# pyPCIe: Simple Python Module to access PCIe Endpoint BARs

pyPCIe provides a quick way to read/write registers in PCIe Base
Address Register (BAR) regions.

pyPCIe `mmap`s PCIe device BARs via the `resourceX` files in
`/sys/bus/pci/devices/[bus_id]` for read/write and provides functions
for 32 bit read/write requests.

*Note: the `resourceX` files in sysfs are typically only accessible as
root. The python scripts using pyPCIe might need to be run as root.*

## Example

```python
from pypcie import Device

# Bind to PCI device at "0000:03:00.0"
d = Device("0000:03:00.0")
# Access BAR 0
bar = d.bar[0]

# write 0xdeadbeef to BAR 0, offset 0x1000
bar.write(0x1000, 0xdeadbeef)

# read BAR 0, offset 0x1004
ret = bar.read(0x1004)
```
riven-cli 0.1.6
A powerful TUI for Riven. Manage your library, search content, and monitor your server directly from the terminal.
Requires Python: >=3.13

# Riven CLI

A powerful Terminal User Interface (TUI) for Riven.
Manage your library, search for content, and monitor your server directly from your terminal with a sleek and fast interface.

## Features

- **Dashboard**: Get an overview of your Riven server status.
- **Library Management**: Browse and manage your media library efficiently.
- **Search**: Quickly find content.
- **Details View**: View detailed information about movies and series.
- **Settings**: Configure your Riven instance directly from the CLI.

## Installation

You can install Riven CLI directly from PyPI:

```bash
pip install riven-cli
```

Or using `uv` (recommended):

```bash
uv tool install riven-cli
```

## Usage

Once installed, simply run:

```bash
riven-cli
```

If you are running from source:

```bash
uv run riven-cli
```

## Configuration

On the first launch, you will be prompted to login to your Riven instance. You can update these settings at any time within the application's **Settings** menu.

## License

[MIT](LICENSE)
tiktalik-cli 1.11.0
Tiktalik Computing command line interface
Requires Python: >=3.10
Keywords: Tiktalik, CLI, Terminal, VPS

# Tiktalik Command Line Interface

This is a command line interface utility implemented in Python, which enables the
user to perform core operations on the [Tiktalik Cloud Computing](http://www.tiktalik.com) service.

## Requirements

 * [tiktalik-python](https://github.com/tiktalik-cloud/tiktalik-python)
 * Python >=3.10

Note that package dependencies are automatically installed by pip.

## Installation

Install using pip:

`$ pip install tiktalik-cli`

## Authentication

To use the CLI you need an API key. You can generate one in your
[admin panel](https://tiktalik.com/panel/#apikeys). The API authentication
information consists of an *API key* and an *API secret*. You can save this
information locally by executing:

`$ tiktalik init-auth API-KEY API-SECRET`

This saves the key and secret to `~/.tiktalik/auth`

Alternatively, if you don't want to save your API key, you can use the `--key`
and `--secret` switches on the commandline.

## Usage

The basic usage patterns is:

`$ tiktalik COMMAND`

You can get a list of commands by running `tiktalik` without arguments.
To get a help on a specific command, run:

`$ tiktalik COMMAND --help`

We also have [a tutorial](http://articles.tiktalik.com/content/help/using-tiktalik-command-line-utility/) to quickly get
you started.
tensorial 0.6.0
Library for machine learning on physical tensors
Requires Python: >=3.10
Keywords: machine learning, e3nn-jax, physics


tensorial
=========

.. image:: https://codecov.io/gh/muhrin/tensorial/branch/develop/graph/badge.svg
    :target: https://codecov.io/gh/muhrin/tensorial
    :alt: Coverage

.. image:: https://github.com/muhrin/tensorial/actions/workflows/ci.yml/badge.svg
    :target: https://github.com/muhrin/tensorial/actions/workflows/ci.yml
    :alt: Tests

.. image:: https://readthedocs.org/projects/tensorial/badge/
    :target: https://tensorial.readthedocs.io/
    :alt: Documentation

.. image:: https://img.shields.io/pypi/v/tensorial.svg
    :target: https://pypi.python.org/pypi/tensorial/
    :alt: Latest Version

.. image:: https://img.shields.io/pypi/pyversions/tensorial.svg
    :target: https://pypi.python.org/pypi/tensorial/

.. image:: https://img.shields.io/pypi/l/tensorial.svg
    :target: https://pypi.python.org/pypi/tensorial/

.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
    :target: https://github.com/psf/black

Library for machine learning on physical tensors
xobjects 0.5.12
In-memory serialization and code generator for CPU and GPU
Requires Python: >=3.7

# XObjects

Library to create and manipulate serialized object in CPU and GPU memory efficiently.

The library defines:
-  Contexts: create buffers and manage computations e.g. BytearrayContext, CLContext, ...
-  Buffers: reference to internal memory buffer with an allocator e.g.
   BytearrayContext, CLBuffer, ...
-  Data types: define users define types to create and manipulate objects on
   buffers and generate C api, e.g. Float64, Int64, String, Struct, Array, Union
h2o-engine-manager 1.4.0
Python client for H2O Engine Manager
Requires Python: >=3.8

# `h2o-engine-maanager`

[![pypi](https://img.shields.io/pypi/v/h2o-engine-manager?style=flat-square)](https://pypi.org/project/h2o-engine-manager/)

Python client for [H2O AI Engine Manager](https://h2oai.github.io/ai-engine-manager/).

## Installation

```sh
pip install h2o-engine-manager
```

## Usage

Visit the [documentation](https://docs.h2o.ai/ai-engine-manager/py/initialization) for more information.
karnak 3.5.0
Karnak Data Platform Community Edition
Requires Python: >=3.7

# Karnak Data Platform Community Edition

Karnak Data Platform is an opinionated framework for building big data and machine learning systems.

This package contains a collection of open sourced utility libraries that are part of the
Karnak Data Platform framework.

## Libraries included

- **karnak**: legacy (karnak 2.0) libs.
- **karnak3.core**: karnak core libs.
- **karnak3.cloud**: cloud libs.
- **karnak3.fetch**: data extraction libs.