semvec/pypi-packages huggingface dataset:
FFHT-unofficial 0.3
Fast implementation of the Fast Hadamard Transform (FHT)
License: MIT
Keywords: fast Fourier Hadamard transform butterfly

# Fast Fast Hadamard Transform (unofficial)

The FFHT-unofficial library is a more recent python wrapper of the original FFHT library. The latter provides a heavily optimized C99 implementation of the Fast Hadamard Transform. For more informations, see https://github.com/FALCONN-LIB/FFHT.

The problem of the original FFHT library is that it relies on numpy C API which is no longer supported by recent numpy versions, it looks like no further updates are planned. One of the contributors did fix the issue in the fork https://github.com/dnbaker/FFHT by using pybind11 instead, and added a 2D support using parallélisation with OpenMP. However, there were still minor compilation problems, thus the library could not be installed from source.

The only objective of the FFHT-unofficial library is to distribute a slightly corrected version  of the latter fork. In a nutshell, the problem was solved only by adding the argument `extra_link_args=['-fopenmp']` in the initialization of the `Extension` class in `setup.py`.

# Installation

Installing the library requires a modern c++ compiler like `gcc`, as well as the python libraries `numpy` and `pybind11`. To install FFHT-unofficial from PYPI, run the lines below.

```
pip install --upgrade pip
pip install ffht-unofficial
```

# Usage

Within a python script, the FFHT-unofficial library is imported by `import ffht`. The library contains two functions, `ffht.fht_` and `ffht.fht`, respectively for the inplace and the out of place FHT. Note that those functions do not actually compute the Hadamard transform of a vector, but a scaled version. In order to obtain the isometric Hadamard transform, the results must by a factor `2**(-d/2)`, where `2**d` is the dimension of that data to transform. The code below provides an example of usage of the ffht functions for 1dim and 2dim numpy array. One can also see the `example.py` file.


```
import numpy as np
import ffht

# a 1dim array
x1 = np.random.normal(size=(2**20))

# a 2dim array
x2 = np.random.normal(size=(3, 2**20))

# out of place FHT
y1 = ffht.fht(x1)
y1 /= 2**(20/2) # rescale to obtain an isometry
y2 = ffht.fht(x2)
y2 /= 2**(20/2)

# in place FHT
ffht.fht_(x1)
x1 /= 2**(20/2)
ffht.fht_(x2)
x2 /= 2**(20/2)
```
metabypassrecaptcha3 0.0.1
metabypass recaptcha3
License: MIT

you can call functions like these codes

CLIENT_ID='YOUR_CLIENT_ID'   #****CHANGE HERE WITH YOUR VALUE*******

CLIENT_SECRET='YOUR_SECRET_KEY'    #****CHANGE HERE WITH YOUR VALUE*******

EMAIL='YOUR_ACCOUNT_EMAIL'    #****CHANGE HERE WITH YOUR VALUE*******

PASSWORD='YOUR_ACCOUNT_PASSWORD'   #****CHANGE HERE WITH YOUR VALUE*******

image_base64 = image_to_base64('YOUR_CAPTCHA_IMAGE_PATH')  #****CHANGE HERE WITH YOUR VALUE*******

captcha_rsponse = image_captcha(image_base64)

print(captcha_rsponse)
PyEng 1.0.4
PyEng is a general-purpose Python package that contains functions related to the English language.
License: MIT
Keywords: English

# PyEng

## Introduction

PyEng is a general-purpose Python package that contains functions related to the English language.

Read the docs on GitBook [here](https://aniketh-chavare.gitbook.io/pyeng-docs).

## Package Information

**Name** - PyEng</br>
**Version** - 1.0.4</br>
**Description** - PyEng is a general-purpose Python package that contains functions related to the English language.</br>
**Author** - Aniketh Chavare</br>
**GitHub URL** - [https://github.com/Anikethc/PyEng](https://github.com/Anikethc/PyEng)</br>
**Pypi.org URL** - [https://pypi.org/project/PyEng](https://pypi.org/project/PyEng)</br>
**Docs URL** - [https://aniketh-chavare.gitbook.io/pyeng-docs](https://aniketh-chavare.gitbook.io/pyeng-docs)

## License

MIT License

Copyright (c) 2023 Aniketh Chavare

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

## Issues & Bugs

If you encounter any issues or bugs, visit the 'Issues' tab and create an issue. I'll look into it and resolve it ASAP.

## Conclusion

I hope you liked this package. Thank you!
metabypassrecaptcha2 0.0.1
metabypass recaptcha2
License: MIT

you can call functions like these codes

CLIENT_ID='YOUR_CLIENT_ID'   #****CHANGE HERE WITH YOUR VALUE*******

CLIENT_SECRET='YOUR_SECRET_KEY'    #****CHANGE HERE WITH YOUR VALUE*******

EMAIL='YOUR_ACCOUNT_EMAIL'    #****CHANGE HERE WITH YOUR VALUE*******

PASSWORD='YOUR_ACCOUNT_PASSWORD'   #****CHANGE HERE WITH YOUR VALUE*******

image_base64 = image_to_base64('YOUR_CAPTCHA_IMAGE_PATH')  #****CHANGE HERE WITH YOUR VALUE*******

captcha_rsponse = image_captcha(image_base64)

print(captcha_rsponse)
getviz 0.0.1
VizPy is a powerful Python library designed to streamline the process of creating visually stunning and informative data visualizations.
License: MIT

VizPy is a powerful Python library designed to streamline the process of creating visually stunning and informative data visualizations. Whether you're a data scientist, analyst, or a curious explorer, VizPy offers an intuitive and efficient way to showcase your data.


Change Log
------------------
0.0.1 (25/05/2023)
------------------
- First Release
metabypasscaptcha 0.0.1
metabypass captcha
License: MIT

you can call functions like these codes

CLIENT_ID='YOUR_CLIENT_ID'   #****CHANGE HERE WITH YOUR VALUE*******

CLIENT_SECRET='YOUR_SECRET_KEY'    #****CHANGE HERE WITH YOUR VALUE*******

EMAIL='YOUR_ACCOUNT_EMAIL'    #****CHANGE HERE WITH YOUR VALUE*******

PASSWORD='YOUR_ACCOUNT_PASSWORD'   #****CHANGE HERE WITH YOUR VALUE*******

image_base64 = image_to_base64('YOUR_CAPTCHA_IMAGE_PATH')  #****CHANGE HERE WITH YOUR VALUE*******

captcha_rsponse = image_captcha(image_base64)

print(captcha_rsponse)