semvec/pypi-packages huggingface dataset:
gllm-docproc-binary 0.8.7
A library for orchestrating the processing of document. Typically in a Gen AI applications (but not limited to just Gen AI).
Requires Python: <3.13,>=3.11

# GLLM Docproc

## Description
A library for orchestrating the processing of document. Typically in a Gen AI applications (but not limited to just Gen AI).

---

## Installation

### Prerequisites

Mandatory:
1. Python 3.11+ — [Install here](https://www.python.org/downloads/)
2. pip — [Install here](https://pip.pypa.io/en/stable/installation/)
3. uv — [Install here](https://docs.astral.sh/uv/getting-started/installation/)
4. gcloud CLI (for authentication) — [Install here](https://cloud.google.com/sdk/docs/install), then log in using:
   ```bash
   gcloud auth login
   ```

---

### Install from Artifact Registry

This requires authentication via the `gcloud` CLI.

1. Export token
```
export GCLOUD_ACCESS_TOKEN="$(gcloud auth print-access-token)"
```

2. Configure the index in your `pyproject.tom;`
```
[[tool.uv.index]]
name = "gen-ai-internal"
url = "https://oauth2accesstoken:${GCLOUD_ACCESS_TOKEN}@glsdk.gdplabs.id/gen-ai-internal/simple/"
```

3. Add the dependency
```
uv add gllm-docproc
```

---

## Local Development Setup

### Prerequisites

1. Python 3.11+ — [Install here](https://www.python.org/downloads/)
2. pip — [Install here](https://pip.pypa.io/en/stable/installation/)
3. uv — [Install here](https://docs.astral.sh/uv/getting-started/installation/)
4. gcloud CLI — [Install here](https://cloud.google.com/sdk/docs/install), then log in using:

   ```bash
   gcloud auth login
   ```
5. Git — [Install here](https://git-scm.com/downloads)
6. Access to the [GDP Labs SDK GitHub repository](https://github.com/GDP-ADMIN/gl-sdk)

---

### 1. Clone Repository

```bash
git clone git@github.com:GDP-ADMIN/gl-sdk.git
cd gl-sdk/libs/gllm-docproc
```

---

### 2. Setup Authentication

Set the following environment variables to authenticate with internal package indexes:

```bash
export UV_INDEX_GEN_AI_INTERNAL_USERNAME=oauth2accesstoken
export UV_INDEX_GEN_AI_INTERNAL_PASSWORD="$(gcloud auth print-access-token)"
export UV_INDEX_GEN_AI_USERNAME=oauth2accesstoken
export UV_INDEX_GEN_AI_PASSWORD="$(gcloud auth print-access-token)"
```

---

### 3. Quick Setup

Run:

```bash
make setup
```

---

### 4. Activate Virtual Environment

```bash
source .venv/bin/activate
```

---

## Local Development Utilities

The following Makefile commands are available for quick operations:

### Install uv

```bash
make install-uv
```

### Install Pre-Commit

```bash
make install-pre-commit
```

### Install Dependencies

```bash
make install
```

### Update Dependencies

```bash
make update
```

### Run Tests

```bash
make test
```

---

## Contributing

Please refer to the [Python Style Guide](https://docs.google.com/document/d/1uRggCrHnVfDPBnG641FyQBwUwLoFw0kTzNqRm92vUwM/edit?usp=sharing)
for information about code style, documentation standards, and SCA requirements.
typer-repyt 0.9.0
Build Typer commands dynamically
Requires Python: <3.15,>=3.12

[![Latest Version](https://img.shields.io/pypi/v/typer-repyt?label=pypi-version&logo=python&style=plastic)](https://pypi.org/project/typer-repyt/)
[![Python Versions](https://img.shields.io/python/required-version-toml?tomlFilePath=https%3A%2F%2Fraw.githubusercontent.com%2Fdusktreader%2Ftyper-repyt%2Fmain%2Fpyproject.toml&style=plastic&logo=python&label=python-versions)](https://www.python.org/)
[![Build Status](https://github.com/dusktreader/typer-repyt/actions/workflows/main.yml/badge.svg)](https://github.com/dusktreader/typer-repyt/actions/workflows/main.yml)
[![Documentation Status](https://github.com/dusktreader/typer-repyt/actions/workflows/docs.yml/badge.svg)](https://dusktreader.github.io/typer-repyt/)


![typer-repyt-logo](https://github.com/dusktreader/typer-repyt/blob/main/docs/source/images/logo-dark.png)

_Build Typer commands dynamically_


## Super-quick Start

Requires: Python 3.12 or greater

Install through pip:

```bash
pip install typer-repyt
```


## Documentation

The complete documentation can be found at the
[typer-repyt home page](https://dusktreader.github.io/typer-repyt)


## Demo

To see the features in action, you can run the demo in an isolated environment with `uv`:

```
uvx --from=typer-repyt[demo] typer-repyt-demo
```
eeo 1.0.9
Add your description here
Requires Python: >=3.9.2

# ClassIn API - eeo

**如果你有任何疑问，可以通过eeoapisupport@eeoa.com联系我们**

**If you have any questions you can contact us at eeoapisupport@eeoa.com**

**ClassIn APIDoc：https://docs.eeo.cn/api/**

**GitHub：https://github.com/Qingche99/eeoAPI**

## Installation

```sh
pip install eeo
```

## Simple Usage Example

```python

import eeo


if __name__ == '__main__':
    sid = 123456  # 学校账号UID
    secret = '2222BBC'  # 学校API secret
    api_sender = eeo.API(school_uid=sid, school_secret=secret)
    api_sender.register(account, name, pwd, addToSchoolMember)
```
seavoice-sdk-test 2.5.4
SeaVoice SDK: Client for Seasalt speech recognition and speech synthesis.
Requires Python: >=3.8

# SeaVoice SDK V2

Please contact info@seasalt.ai if you have any questions.

## Speech-to-Text Example:

### Prerequisites
You will need a SeaVoice speech service account to run this example. Please contact info@seasalt.ai and apply for it.

### Install and import
To install SeaVoice SDK:

```pip install seavoice-sdk-test```

To import SeaVoice SDK:

```import seavoice_sdk_beta as speechsdk```

### Usage

See [SeaVoice SDK Documentation](https://docs.seasalt.ai/speech/seavoice_sdk_python_tutorial.html)