semvec/pypi-packages huggingface dataset:
carefree-pyo3 0.2.2
rust → python made easy
Requires Python: >=3.8
Keywords: rust, python, numpy, pandas

# carefree-pyo3

`cfpyo3` is a collection of performant utilities.

## Installation

`carefree-pyo3` requires:

- Python 3.12 or higher.
- `numpy < 2.x`, because currently rust numpy doesn't support numpy 2.x.

```bash
pip install carefree-pyo3
```

> `carefree-pyo3` supports Python 3.8 at version `0.1.x`, but it is no longer
> maintained.

## Test

```bash
pytest
```

## Benchmark (Rust)

```bash
cargo bench -F criterion -p cfpyo3_rs_core -- --verbose
```

## Architecture

This project is divided into four parts - looks clumsy, but I'll introduce them
and explain their necessity.

### `cfpyo3_rs_core`

This is the Rust core of the project, and is meant to be responsible for the
heavy lifting. Its necessity is almost self-explanatory.

### `cfpyo3_rs_bindings`

This one looks redundant at first glance, as we already have `cfpyo3_rs_py`.
Initially this member did not exist, until I find some bindings in
`cfpyo3_rs_py` very useful, want to reuse them, and failed because:

- It is not an `rlib`.
- Even I managed to make it an `rlib`, it's just not good to import the whole
  package because `cfpyo3_rs_py` itself is exposing lots of APIs to Python.

Another choice is to put these useful bindings in `cfpyo3_rs_core`, but then
GitHub CI cannot build it for whatever reason.

So at last, this member is born.

### `cfpyo3_rs_py`

This is the 'direct' Python bindings of this project. It is just a REALLY thin
wrapper around `cfpyo3_rs_core` and `cfpyo3_rs_bindings`, and is responsible for
exposing the APIs to Python.

### `cfpyo3`

This is the Python package that users will interact with. It is a relatively
thin wrapper that dispatches the calls to `cfpyo3_rs_py`.

> A typical use case is the `f32` & `f64` dispatch.
trinityml 0.0.18
A Python SDK for recording the LLM Experiment Execution

## Installation
To install the Trinity package, run the following command:
```
pip install trinityml
```

## Setup the Environment Variable
```
export TRINITY_SECRET_KEY="your_secret_key"
export TRINITY_PUBLIC_KEY="your_public_key"
export TRINITY_HOST="http://your_trinity_host"
```

## Record the Experiment
To use the record function, ensure that you have properly set up your environment and then call the function as shown below:

```
# Import the Trinity package
import trinityml

# Call the record() function
trinityml.record(
    experiment_name=experiment_name,
    questions=questions,
    contexts=contexts,
    generated_prompts=generated_prompts,
    answers=answers,
    ground_truths=ground_truths,
    model_temperature=model_temperature,
    top_k=top_k,
    model_name=model_name,
    prompt_template=prompt_template
)
denodo_webservice 0.1.4
Add your description here
Requires Python: >=3.10

# README

This is a library to interact with [Denodo RESTful Web Services](https://community.denodo.com/docs/html/browse/8.0/en/vdp/administration/restful_architecture/restful_web_service/restful_web_service)

```python
client = Client(host, username, password)
view = client.database(dbname).view(viewname)
elements: list[dict] = view.get(
    select=[
        "name",
        "age",
    ],
    filter="job ='developer'",
)
```
ppt-json 1.0.4
JSON parser abstraction layer
Requires Python: >=3.9

----------------------------------------------------------------------------
Personal Python Toolkit
Modularized all-in-one toolkit for Python
----------------------------------------------------------------------------

"ppt_json" is an abstraction layer for JSON parsing and manipulation.

----------------------------------------------------------------------------
Licensing
----------------------------------------------------------------------------

This source code is released under the conditions of the license defined in
the "LICENSE" file.

----------------------------------------------------------------------------
Contributing
----------------------------------------------------------------------------

Thank you for your interest. Contributions are always welcomed. See
"LICENSE" for open source license details.

----------------------------------------------------------------------------
huggingface-datasets-cocoapi-tools 0.5.0
A helper library for easily converting MSCOCO format data using the loading script of huggingface datasets.
Requires Python: <4.0,>=3.9

# COCO API tools for 🤗 Huggingface Dataset

[![CI](https://github.com/shunk031/huggingface-datasets_cocoapi-tools/actions/workflows/ci.yaml/badge.svg)](https://github.com/shunk031/huggingface-datasets_cocoapi-tools/actions/workflows/ci.yaml)
[![Release](https://github.com/shunk031/huggingface-datasets_cocoapi-tools/actions/workflows/release.yaml/badge.svg)](https://github.com/shunk031/huggingface-datasets_cocoapi-tools/actions/workflows/release.yaml)
[![Deploy](https://github.com/shunk031/huggingface-datasets_cocoapi-tools/actions/workflows/deploy.yaml/badge.svg)](https://github.com/shunk031/huggingface-datasets_cocoapi-tools/actions/workflows/deploy.yaml)
[![Python](https://img.shields.io/badge/python-3.9%20%7C%203.10%20%7C%203.11-blue?logo=python)](https://pypi.python.org/pypi/huggingface-datasets-cocoapi-tools)
[![PyPI](https://img.shields.io/pypi/v/huggingface-datasets-cocoapi-tools.svg)](https://pypi.python.org/pypi/huggingface-datasets-cocoapi-tools)

A helper library for easily converting [MSCOCO format data](https://cocodataset.org/#home) using [the loading script](https://huggingface.co/docs/datasets/dataset_script) of [🤗 huggingface datasets](https://github.com/huggingface/datasets).

## Installation

You can install the library via pip:

```shell
pip install huggingface-datasets-cocoapi-tools
```

You can also install the library with the optional dependencies:

```shell
# for pycocotools
pip install 'huggingface-datasets-cocoapi-tools[cocoapi]' 

# for huggingface/datasets
pip install 'huggingface-datasets-cocoapi-tools[datasets]' 

# for all dependencies
pip install 'huggingface-datasets-cocoapi-tools[all]'
```

## Acknowledgement

- cocodataset/cocoapi: COCO API - Dataset @ http://cocodataset.org/ https://github.com/cocodataset/cocoapi 
- ppwwyyxx/cocoapi: Contains the "pycocotools" package on PyPI. Changes made to the official cocoapi about packaging. https://github.com/ppwwyyxx/cocoapi 
- nightrome/cocostuffapi: COCO Stuff API https://github.com/nightrome/cocostuffapi
ppt-file 1.0.4
Working with a file abstraction layer
Requires Python: >=3.9

----------------------------------------------------------------------------
Personal Python Toolkit
Modularized all-in-one toolkit for Python
----------------------------------------------------------------------------

The "ppt_file" abstraction layer provides an interface similar to FileIO
with support for read, lock and write timeouts.

----------------------------------------------------------------------------
Licensing
----------------------------------------------------------------------------

This source code is released under the conditions of the license defined in
the "LICENSE" file.

----------------------------------------------------------------------------
Contributing
----------------------------------------------------------------------------

Thank you for your interest. Contributions are always welcomed. See
"LICENSE" for open source license details.

----------------------------------------------------------------------------