semvec/pypi-packages huggingface dataset:
novocontrol-toolbox 2.1
Python module to assist working with measurement .TXT files generated by Novocontrol instruments.
Requires Python: >=3.12

# Novocontrol_Toolbox

This Package provides tools to analyze and visualize measurement data from Novocontrol instruments. As input files the .txt files generated by WinDETA are used. This package has been developed using the Novocontrol Concept 50.

Github: https://github.com/quirin053/novocontrol_toolbox
GUI: https://github.com/quirin053/novo_explorer
manimgeo 1.3.1a2
A library for Geometry constructing and animation generating.
Requires Python: >=3.12

# ManimGeo - 几何构建与动画辅助库

ManimGeo 是一个基于 Numpy 等强大核心的几何构建库，旨在简化几何图形的构建、管理和动画生成、帮助创建复杂的几何场景，并自动处理几何元素之间的依赖关系，确保在任何基础元素发生变化时，整个几何系统都能保持一致性。

## ✨ 主要特性

- **智能几何构建**: 支持点、线、圆、角、向量等多种基本几何元素的创建，并提供多种构造方式（如自由点、中点、交点等）。
- **自动依赖管理**: 核心“三位一体”架构（Base, Args, Adapter）确保几何对象之间的依赖关系被自动维护。当上游几何对象发生变化时，所有依赖它的下游对象都会自动更新。
- **灵活的几何变换**: 支持反演等几何变换操作，为复杂的几何探索提供便利。
- **高度可扩展性**: 清晰的架构设计使得添加新的几何类型或构造方法变得简单。
- **动画引擎集成 (developing)**: 旨在与 ManimGL 和 JAnim 等动画库无缝集成，将构建的几何场景轻松转化为动态演示。

## 🚀 快速开始

通过一个简单的欧拉线示例了解 ManimGeo 如何构建几何图形并管理依赖：

```python title="euler_line.py"
import numpy as np
from manimgeo.components import *
from manimgeo.utils import GeoUtils

# 构造三角形ABC
A = Point.Free(np.array([0, 0, 0]), "A")
B = Point.Free(np.array([5, 0, 0]), "B")
C = Point.Free(np.array([2, 3, 0]), "C")

# 构造边
AB = InfinityLine.PP(A, B, "AB")
BC = InfinityLine.PP(B, C, "BC")
AC = InfinityLine.PP(A, C, "AC")

# 重心 垂心 外心
centroid = Point.CentroidPPP(A, B, C, "Centroid").coord
orthocenter = Point.OrthocenterPPP(A, B, C, "Orthocenter").coord
circumcenter = Point.CircumcenterPPP(A, B, C, "Circumcenter").coord

# 打印依赖关系
print("Dependencies of A:")
GeoUtils.print_dependencies(A)

# 验证三点共线
vectors = np.array([
    centroid - orthocenter,
    circumcenter - orthocenter
])
rank = np.linalg.matrix_rank(vectors)
assert rank == 1
print(f"rank == 1: {rank == 1}")
```

运行此代码，你将看到三角形的重心、垂心和外心被计算出来，并且验证了它们三点共线。

同时，你可以观察到 ManimGeo 如何自动管理这些几何对象之间的依赖关系。

## 📦 安装

ManimGeo 库要求的最低 Python 版本是 `3.12`。

### 使用 pip

```bash
# 仅安装核心库（数值计算和几何构建）
pip install manimgeo

# 安装 ManimGL 集成
pip install manimgeo[manim]

# 安装 JAnim 集成 (要求 janim[gui] >= 3.4.0)
pip install manimgeo[janim]

# 安装开发与测试工具
pip install manimgeo[dev]

# 安装所有功能
pip install manimgeo[full]
```

### 使用 uv (推荐)

如果尚未安装 `uv`，请先安装：

```bash
pip install uv
uv --version
```

然后，在你的项目目录中创建虚拟环境并安装 ManimGeo：

```bash
mkdir your/project/dir
cd your/project/dir
uv init
uv add manimgeo # 仅核心
uv add manimgeo --extra full # 安装所有功能
```

## 📐 核心架构

ManimGeo 的核心设计理念是“三位一体”：

- **`BaseGeometry` (基础几何对象)**: 代表几何实体本身（如 `Point`, `Line`, `Circle`），管理对象的属性、名称以及与其他几何对象之间的依赖关系。
- **`Args` (参数模型)**: 定义了如何构造一个几何对象。每个几何对象都可以通过多种方式构造（例如，一个点可以是自由的，也可以是两条线的交点）。`Args` 模型封装了这些构造方法所需的输入参数，并能识别出这些参数中包含的其它几何对象依赖。
- **`Adapter` (适配器)**: 连接 `Args` 和 `Base` 的桥梁。它根据 `Args` 中定义的构造方式和参数，执行具体的几何计算，并将计算结果适配到 `Base` 几何对象的属性上。

这种架构使得 ManimGeo 能够构建一个动态的、相互关联的几何对象网络，并实现高效的依赖管理和自动更新机制。

## 🎬 动画集成

ManimGeo 旨在与动画库（如 ManimGL 和 JAnim）无缝协作，将构建的几何场景转化为动画。

样例展示：

https://github.com/user-attachments/assets/36fec8c6-ad72-4b34-b9fc-f636a6808cfb

https://github.com/user-attachments/assets/b47f8a04-351a-42b2-8f1a-f4bcf2d0d79f

https://github.com/user-attachments/assets/e94ea012-1053-4585-82dd-058d04feb9ac

**developing**: 动画集成重构中，敬请期待

## 📚 项目文档

更详细的文档、API 参考和高级用法，请访问：
[ManimGeo 文档](https://manimgeo.readthedocs.io/zh-cn/latest/)

## 🤝 贡献

欢迎所有形式的贡献！如果您有任何建议、功能请求或发现 Bug，请随时提交 Issue 或 Pull Request。

## 📄 许可证

本项目采用 MIT 许可证。
arxiv-retriever-batch 1.0.2
A Python package for interacting with the arXiv API, providing tools for searching, retrieving, and processing arXiv articles.
Requires Python: >=3.9
Keywords: logi, logging, algho, quest-it, qi_log_loki

# Py-AXIRV

Py-AXIRV is a Python package installable via pip that allows you to download and upload articles from arXiv directly to S3 storage.

## Installation

```bash
pip install py-axirv
```

## Usage

Example usage to upload arXiv articles to S3:

```python
import urllib.request as libreq
import os
from py_axirv.axirv import ArxivLoader
import xml.etree.ElementTree as ET

documents = []

axirv = ArxivLoader(
    max_results=10000,
    start=0,
    type_storage='s3',
    aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"),
    aws_secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY"),
    region_name=os.getenv("AWS_REGION"),
    bucket_name=os.getenv("AWS_BUCKET_NAME"),
    prefix='arxiv'
)

axirv.load()
```

Make sure to set the AWS environment variables (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_REGION`, `AWS_BUCKET_NAME`) before running the script.

Example usage to upload arXiv articles to a local path:

```python
import urllib.request as libreq
import os
from py_axirv.axirv import ArxivLoader
import xml.etree.ElementTree as ET

documents = []

axirv = ArxivLoader(
    max_results=10000,
    start=0,
    type_storage='local',
    path_download='tmp'
)

# or configure a different download folder
axirv.set_path_download('/downloads/axirv')

axirv.load()
```

## Retriever Example

Example usage with `ArxivRetriever` to process arXiv articles from S3 and download them locally:

```python
import os
from py_arxiv_retriever import ArxivRetriever

documents = []

axirv = ArxivRetriever(
    type_storage='s3',
    path_type='s3'
    aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"),
    aws_secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY"),
    region_name=os.getenv("AWS_REGION"),
    bucket_name=os.getenv("AWS_BUCKET_NAME"),
    prefix='arxiv',
    path_download='arxiv_documents',
)

axirv.process()
```

## License

This project is distributed under the MIT license.
arxiv-retriever-massive 1.0.2
A Python package for interacting with the arXiv API, providing tools for searching, retrieving, and processing arXiv articles.
Requires Python: >=3.9
Keywords: logi, logging, algho, quest-it, qi_log_loki

# Py-AXIRV

Py-AXIRV is a Python package installable via pip that allows you to download and upload articles from arXiv directly to S3 storage.

## Installation

```bash
pip install py-axirv
```

## Usage

Example usage to upload arXiv articles to S3:

```python
import urllib.request as libreq
import os
from py_axirv.axirv import ArxivLoader
import xml.etree.ElementTree as ET

documents = []

axirv = ArxivLoader(
    max_results=10000,
    start=0,
    type_storage='s3',
    aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"),
    aws_secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY"),
    region_name=os.getenv("AWS_REGION"),
    bucket_name=os.getenv("AWS_BUCKET_NAME"),
    prefix='arxiv'
)

axirv.load()
```

Make sure to set the AWS environment variables (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_REGION`, `AWS_BUCKET_NAME`) before running the script.

Example usage to upload arXiv articles to a local path:

```python
import urllib.request as libreq
import os
from py_axirv.axirv import ArxivLoader
import xml.etree.ElementTree as ET

documents = []

axirv = ArxivLoader(
    max_results=10000,
    start=0,
    type_storage='local',
    path_download='tmp'
)

# or configure a different download folder
axirv.set_path_download('/downloads/axirv')

axirv.load()
```

## Retriever Example

Example usage with `ArxivRetriever` to process arXiv articles from S3 and download them locally:

```python
import os
from py_arxiv_retriever import ArxivRetriever

documents = []

axirv = ArxivRetriever(
    type_storage='s3',
    path_type='s3'
    aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"),
    aws_secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY"),
    region_name=os.getenv("AWS_REGION"),
    bucket_name=os.getenv("AWS_BUCKET_NAME"),
    prefix='arxiv',
    path_download='arxiv_documents',
)

axirv.process()
```

## License

This project is distributed under the MIT license.
python-llm-assistant 0.1.0.post0
Telegram group chat assistant

# Telegram Bot

## Current Features
- Returns bot version for any message

## Installation

1. Clone the repository
2. Install dependencies:
```bash
pip install python_llm_assistant
pip install -r https://github.com/RomanArzumanyan/LLM-assistant/blob/main/requirements.txt
```
3. Create a .env file with the following parameters:
```
BOT_TOKEN=your_telegram_bot_token
```

## Running
```bash
python -m python_llm_assistant
```
py-arxiv-retriever 1.0.2
A Python package for interacting with the arXiv API, providing tools for searching, retrieving, and processing arXiv articles.
Requires Python: >=3.9
Keywords: logi, logging, algho, quest-it, qi_log_loki

# Py-AXIRV

Py-AXIRV is a Python package installable via pip that allows you to download and upload articles from arXiv directly to S3 storage.

## Installation

```bash
pip install py-axirv
```

## Usage

Example usage to upload arXiv articles to S3:

```python
import urllib.request as libreq
import os
from py_axirv.axirv import ArxivLoader
import xml.etree.ElementTree as ET

documents = []

axirv = ArxivLoader(
    max_results=10000,
    start=0,
    type_storage='s3',
    aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"),
    aws_secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY"),
    region_name=os.getenv("AWS_REGION"),
    bucket_name=os.getenv("AWS_BUCKET_NAME"),
    prefix='arxiv'
)

axirv.load()
```

Make sure to set the AWS environment variables (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_REGION`, `AWS_BUCKET_NAME`) before running the script.

Example usage to upload arXiv articles to a local path:

```python
import urllib.request as libreq
import os
from py_axirv.axirv import ArxivLoader
import xml.etree.ElementTree as ET

documents = []

axirv = ArxivLoader(
    max_results=10000,
    start=0,
    type_storage='local',
    path_download='tmp'
)

# or configure a different download folder
axirv.set_path_download('/downloads/axirv')

axirv.load()
```

## Retriever Example

Example usage with `ArxivRetriever` to process arXiv articles from S3 and download them locally:

```python
import os
from py_arxiv_retriever import ArxivRetriever

documents = []

axirv = ArxivRetriever(
    type_storage='s3',
    path_type='s3'
    aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"),
    aws_secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY"),
    region_name=os.getenv("AWS_REGION"),
    bucket_name=os.getenv("AWS_BUCKET_NAME"),
    prefix='arxiv',
    path_download='arxiv_documents',
)

axirv.process()
```

## License

This project is distributed under the MIT license.