semvec/pypi-packages huggingface dataset:
hx-ml-dl-tools 1.1.0
Librería desarrollo de modelos de ML y DL
Requires Python: >=3.10

# hx_ml_dl_tools
Suite de funcionalidades para aprendizaje automatico (dl y ml)

## version 1.1.0

- Modificaciones de bugs de nombres de guardado
- Adicion de version del modelo al diccionario resultante del entrenamiento
- Solucionada la excepcion del SHAP relacionada con backgrounds escasos
- Agregado módulo hx_predictor
modulos-client 1.0.4
Package to interact with the Modulos Platform
Requires Python: >=3.10
Keywords: modulos_client

# Modulos Client

[![PyPI version](https://img.shields.io/pypi/v/modulos-client.svg)](https://pypi.org/project/modulos-client/)

This tool provides a Programmatic interface to interact with the Modulos platform.

## Documentation

The documentation can be found on [docs.modulos.ai](https://docs.modulos.ai)

## Installation

```sh
# install from PyPI
pip install modulos-client
```

## API Key

Generate your API key [here](https://app.modulos.ai/tokens)

## Usage

```python
import os
from modulos_client import Modulos

client = Modulos(
    # This is the default and can be omitted
    api_key=os.environ.get("MODULOS_API_KEY"),
)
```

While you can provide an `api_key` keyword argument,
we recommend using [python-dotenv](https://pypi.org/project/python-dotenv/)
to add `MODULOS_API_KEY="My API Key"` to your `.env` file
so that your API Key is not stored in source control.

## Handling errors

When the library is unable to connect to the API (for example, due to network connection problems or a timeout), a subclass of `modulos_client.APIConnectionError` is raised.

When the API returns a non-success status code (that is, 4xx or 5xx
response), a subclass of `modulos_client.APIStatusError` is raised, containing `status_code` and `response` properties.

All errors inherit from `modulos_client.APIError`.

```python
import modulos_client
from modulos_client import Modulos

client = Modulos()

try:
    metrics = client.testing.logs.get_metrics(project_id)
except modulos_client.APIConnectionError as e:
    print("The server could not be reached")
    print(e.__cause__)  # an underlying Exception, likely raised within httpx.
except modulos_client.APIStatusError as e:
    print("Another non-200-range status code was received")
    print(e.status_code)
    print(e.response)
```

Error codes are as followed:

| Status Code | Error Type                 |
| ----------- | -------------------------- |
| 400         | `BadRequestError`          |
| 401         | `AuthenticationError`      |
| 403         | `PermissionDeniedError`    |
| 404         | `NotFoundError`            |
| 422         | `UnprocessableEntityError` |
| >=500       | `InternalServerError`      |
| N/A         | `APIConnectionError`       |
nordea-analytics 1.22.5
Nordea Analytics Python library
Requires Python: >=3.9

# Nordea Analytics
This is the Nordea Analytics python library, which gives you direct access to the best key figures for our Nordic products. To use the library, you will need access to the underlying API. For further information please reach out to <a href="mailto:E-advisorySupport@nordea.com">E-advisorySupport@nordea.com</a>

# Documentation
Latest documentation is available here: https://nordea-analytics.readthedocs.io/en/latest/ 

# License
GPLv3 - GNU General Public License v3.0

# Authors

Nordea Desk Quants and Markets Advisory Tools
widpath 0.1.1
A hierarchical file path resolver for WID-based storage
Requires Python: >=3.8
Keywords: wid, file storage, hierarchical path

# widpath

`widpath` 是一个基于 **WID 分层规则** 的文件路径解析器，可以把长字符串 WID 映射到分层文件系统路径，用于存储和查找大规模 JSON 文件。

它的目标是方便地将数据切分为层次化的目录结构，避免单目录下文件过多，同时支持二分查找已有文件。

---

## ✨ 特性

- 支持将 WID 按固定大小分块，生成分层路径
- 支持查找 **最合适的存储文件路径**（使用二分查找）
- 默认从最深层开始回溯，效率接近 `O(logN)`
- 可配置分块大小（默认为 `2`）和分隔符（默认为 `/`）
- 简单易用，几行代码即可集成


---
## 与现有方案对比

目前在 PyPI 上常见的一些路径操作工具包括：

| 包名 / 类型            | 功能亮点                    | 与 `widpath` 的区别        |
| ------------------ | ----------------------- | ---------------------- |
| **widpath** (本包)   | 根据 WID 切片 + 分层路径 + 二分查找 | 专为 WID 管理设计，支持快速定位存储路径 |
| `wildpath`         | 通配符访问数据结构               | 与文件系统路径分层无关            |
| `path` / `path.py` | 更友好的路径操作接口              | 注重路径 API，不支持 WID 分层策略  |
| 标准库 `pathlib`      | 面向对象的路径处理，跨平台兼容         | 基础操作，不支持分层和二分查找        |

结论：
widpath 提供了一种专门针对 WID 的分层文件管理与查找机制，是对现有通用路径库的有益补充。

---

## 📦 安装

### 从 PyPI 安装
```bash
pip install widpath
```

---

## 支持作者

如果你觉得这个项目对你有帮助，可以考虑捐赠支持开发：

### 现金支持

- PayPal: 

### 数字货币支持

- Bitcoin (BTC): bc1qa5g4aeg6rp8m46c4lwxfapesmwkns0rhjmm65g
- Ethereum (ETH): 0xA466f5E4D0eaAc20f38154D7D4F0a2b75076e0a0

非常感谢你的支持 🙏