semvec/pypi-packages huggingface dataset:
bnvd 1.1
Cliente Python para a API do Banco Nacional de Vulnerabilidades Digitais bnvd.org
Requires Python: >=3.7

### README.md

````markdown
# BNVD Python Client

Cliente Python para a API do Banco Nacional de Vulnerabilidades Digitais (BNVD).

## Instalação

```bash
pip install bnvd
````

## Uso básico

```python
from bnvd.client import BNVDClient

client = BNVDClient()

# Buscar vulnerabilidade específica
detalhes = client.get_vulnerability("CVE-2025-12345")
print(detalhes)
```

## Funcionalidades

* Listar vulnerabilidades com filtros (ano, severidade, vendor)
* Buscar vulnerabilidade por CVE ID
* Buscar estatísticas do banco de dados

## Contribuição

Contribuições são bem-vindas! Abra uma issue ou pull request no GitHub.

## Licença

Este projeto está licenciado sob a Licença MIT - veja o arquivo LICENSE para detalhes.
causal-conv1d 1.6.0
Causal depthwise conv1d in CUDA, with a PyTorch interface
Requires Python: >=3.9

# Causal depthwise conv1d in CUDA with a PyTorch interface

Features:
- Support fp32, fp16, bf16.
- Kernel size 2, 3, 4.

## How to use

```python
from causal_conv1d import causal_conv1d_fn
```

```python
def causal_conv1d_fn(x, weight, bias=None, activation=None):
    """
    x: (batch, dim, seqlen)
    weight: (dim, width)
    bias: (dim,)
    activation: either None or "silu" or "swish"

    out: (batch, dim, seqlen)
    """
```

Equivalent to:
```python
import torch.nn.functional as F

F.conv1d(x, weight.unsqueeze(1), bias, padding=width - 1, groups=dim)[..., :seqlen]
```

## Additional Prerequisites for AMD cards

### Patching ROCm

If you are on ROCm 6.0, run the following steps to avoid errors during compilation. This is not required for ROCm 6.1 onwards.

1. Locate your ROCm installation directory. This is typically found at `/opt/rocm/`, but may vary depending on your installation.

2. Apply the Patch. Run with `sudo` in case you encounter permission issues.
   ```bash
    patch /opt/rocm/include/hip/amd_detail/amd_hip_bf16.h < rocm_patch/rocm6_0.patch 
   ```
nse 2.0.0
Unofficial Python Api for NSE India stock exchange
Requires Python: >=3.8
Keywords: nse, nse-stock-data, stock-market-api, stock-news-api

# 💰 NseIndiaApi

An unofficial Python API for the NSE India stock exchange.

Python version: >= 3.8

If you ❤️ my work so far, please 🌟 this repo.

## 👽 Documentation

[https://bennythadikaran.github.io/NseIndiaApi](https://bennythadikaran.github.io/NseIndiaApi)

## API limits

All requests through NSE are rate limited or throttled to 3 requests per second. This allows making large number of requests without overloading the server or getting blocked.

- If downloading a large number of reports from NSE, please do so after-market hours (Preferably late evening).
- Add an extra 0.5 - 1 sec sleep between requests. The extra run time likely wont make a difference to your script.
- Save the file and reuse them instead of re-downloading.

## Updates

**v1.2.0** NSE package now works in server environments like AWS. [See PR #10](https://github.com/BennyThadikaran/NseIndiaApi/pull/10) for details.

## 🔥 Usage

**To install on local machine or PC**

```bash
pip install nse[local]
```

**To install in a server environment like AWS (Works on local too)**

```bash
pip install nse[server]
```

The class accepts two arguments (As of 1.2.0)

- `download_folder` - a `str` filepath, or a `pathlib object`. The folder stores cookie and any downloaded files.
- `server` - If False (default), use the requests module to make requests. Else uses the httpx module with http2 support for running on server.

Note: `server=True` works both locally and on servers. `httpx[http2]` module is required to be installed for this to work.

**Simple example**

```python
from nse import NSE
from pathlib import Path

# Working directory
DIR = Path(__file__).parent

nse = NSE(download_folder=DIR, server=False)

status = nse.status()

advDec = nse.advanceDecline()

nse.exit() # close requests session
```

**Using with statement**

```python
with NSE(download_folder=DIR, server=False) as nse:
    status = nse.status()

    advDec = nse.advanceDecline()
```

**Catching errors**

```python
from nse import NSE
from datetime import datetime

with NSE('./') as nse:
    try:
        bhavFile = nse.equityBhavcopy(date=datetime.now())
        dlvFile = nse.deliveryBhavcopy(date=datetime.now())
        raise RuntimeError('Some error')  # force an exception
    except RuntimeError as e:
        # continue execution or exit the script
        print(repr(e))

    # execution continues if handled without exit
    actions = nse.actions()

# NSE request session closed - continue processing
```

## Samples folder

The `src/samples` folder contains sample outputs of various methods. The filenames match the method names. The output has been truncated in some places but demonstrates the overall structure of responses.
Easy-Pixie 0.0.9
A tool to simplify the use of python graphic library pixie-python.
Requires Python: >=3.10.0

<h1 align="center">Easy-Pixie</h1>
<div align="center">
  <strong>A tool to simplify the use of python graphic library pixie-python.</strong><br>
</div><br>

<div align="center">
  <img alt="Supported Python Version" src="https://img.shields.io/badge/Python-3.10+-teal?style=flat-square">
  <a href="https://github.com/Floating-Ocean/Easy-Pixie/actions/workflows/python-publish.yml"><img alt="CodeQL Scan" src="https://img.shields.io/github/actions/workflow/status/Floating-Ocean/Easy-Pixie/python-publish.yml?style=flat-square&label=pypi-deploy"></a>
  <a href="https://github.com/Floating-Ocean/Easy-Pixie/releases/latest"><img alt="GitHub Release" src="https://img.shields.io/github/v/release/Floating-Ocean/Easy-Pixie?style=flat-square&label=Easy-Pixie"></a>
  <a href="https://github.com/Floating-Ocean/Easy-Pixie/commits"><img alt="GitHub Last Commit" src="https://img.shields.io/github/last-commit/Floating-Ocean/Easy-Pixie?style=flat-square"></a>
  <a href="https://github.com/Floating-Ocean/Easy-Pixie/commits"><img alt="GitHub commit activity" src="https://img.shields.io/github/commit-activity/y/Floating-Ocean/Easy-Pixie?style=flat-square"></a>
</div><br>

> [!TIP]
> 
> 项目基于 [pixie-python](https://github.com/treeform/pixie-python)，封装了部分常用功能，便于降低图片绘制的代码量。
>
> 同时，也可将本项目视为原仓库部分功能的使用示例，希望对你有所帮助。

项目不定期更新，Prs Welcome.


## 项目中的第三方资源

### 图形库

[pixie-python](https://github.com/treeform/pixie-python)

### 字体

OPPOSans 1.0

思源黑体

### 渐变色

[uiGradients](https://github.com/Ghosh/uiGradients)