semvec/pypi-packages huggingface dataset:
Hytul 0.0.13
Hytul data via networks
Keywords: python,Recon,Toolkit

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**ONLY DOWNLOAD IT HERE, DO NOT TRUST OTHER PLACES.**

Written by: [ **TeamKurais** ]-[ **Twitter** ] [@K0WSHIK](https://twitter.com/K0WSHIK), [ **GitHub** ] [@naimkowshik](https://github.com/naimkowshik)

## 🔖 About

We have created this tool that many new people come in the world of pen testing & Ethical Hacking. They do not know much about the basics. So this tool has been created to help them. I hope you share this tool with your new friends.

[ **DISCLAIMER** ] **:** This is only for testing purposes and can only be used where strict consent has been given. Do not use this for illegal purposes, period.

# 📃 Features
#### [ Menu ] :
* IP Address information
* Who Is Domain Scan
* Robot Txt Scan
* HTTP Header Grabber
* Dns Map
* DNS Recon And Enumerating SRV Records
* Clickjacking Test
* Website WhatWeb Scan
* Link Grabber

## 📝 Bugs and enhancements

For bug reports or enhancements, please open an [issue](https://github.com/naimkowshik/reyna/issues) here.


## 🎨 Tested on
* Kali linux 
* Parrot-Sec 

# ⏳ Installation

**make sure your apt-get isn't broken before you run this**

**RUN THIS AS ROOT**

```bash
$ git clone https://github.com/naimkowshik/reyna.git
$ cd reyna
$ chmod +x setup.py
$ python3 setup.py
$ python3 reyna.py
```

# 📸 SCREENSHOT
![](./images/screenshot.PNG)
sambal 0.1.0
Sample balls, spheres, spherical caps

# sambal

sambal provides functions to

- uniformly sample a sphere
- uniformly sample a spherical cap of a sphere

# Usage

## Random vector on sphere

Generate a random vector on a 100-dimensional unit sphere.
```python
import numpy as np
from sambal import random_on_sphere

dim = 100
print(random_on_sphere(dim))
```

The same as above, but with a random number generator seeded to 0.
```python
import numpy as np
from sambal import random_on_sphere

dim = 100
rng = np.random.default_rng(0)
print(random_on_sphere(dim, rng))
```

## Random vector on spherical cap

Generate a 100-dimensional random vector on a spherical cap whose
central axis is `[1, 1, 1, ..., 1] / sqrt(100)` and whose maximum
planar angle is `pi/3`.
```python
import numpy as np
from sambal import random_on_cap

dim = 100
axis = np.ones(dim)
axis = axis / np.linalg.norm(axis)
max_planar_angle = np.pi/3
print(random_on_cap(axis, max_planar_angle))
```

The same as above, but with a random number generator seeded to 0.
```python
import numpy as np
from sambal import random_on_cap

rng = np.random.default_rng(0)
dim = 100
axis = np.ones(dim)
axis = axis / np.linalg.norm(axis)
max_planar_angle = np.pi/3
print(random_on_cap(axis, max_planar_angle, rng))
```

# Citing

If you use this code for your research, please cite the paper [An O(n)
algorithm for generating uniform random vectors in n-dimensional
cones](https://arxiv.org/abs/2101.00936).

# License

sambal is free software released under the terms of the [GNU General
Public License](https://www.gnu.org/licenses/gpl.html), either version
3 of the License, or (at your option) any later version.