semvec/pypi-packages huggingface dataset:
peachiia 0.0.1
Mostly useless modules sewn together, with a few sparks of potential, by Peachiia.
Requires Python: >=3.6

# peachiia-pypi

A Frankenstein's monster of code. Mostly useless modules sewn together, with a few sparks of potential. Enter at your own risk (and for the LOLs). Published to PyPI, aka. pip.  
  
soon.
cookiecutter-python-package-demo 0.1.0
Demo of https://github.com/sgraaf/cookiecutter-python-package.
Requires Python: ~=3.8

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# Cookiecutter Python Package Demo

[![PyPI](https://img.shields.io/pypi/v/cookiecutter-python-package-demo)](https://img.shields.io/pypi/v/cookiecutter-python-package-demo)
[![Supported Python Versions](https://img.shields.io/pypi/pyversions/cookiecutter-python-package-demo)](https://pypi.org/project/cookiecutter-python-package-demo/)
[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/sgraaf/cookiecutter-python-package-demo/main.svg)](https://results.pre-commit.ci/latest/github/sgraaf/cookiecutter-python-package-demo/main)
[![Test](https://github.com/sgraaf/cookiecutter-python-package-demo/actions/workflows/test.yml/badge.svg)](https://github.com/sgraaf/cookiecutter-python-package-demo/actions/workflows/test.yml)
[![Documentation Status](https://readthedocs.org/projects/cookiecutter-python-package-demo/badge/?version=latest)](https://cookiecutter-python-package-demo.readthedocs.io/en/latest/?badge=latest)
[![PyPI - License](https://img.shields.io/pypi/l/cookiecutter-python-package-demo)](https://img.shields.io/pypi/l/cookiecutter-python-package-demo)

Demo of https://github.com/sgraaf/cookiecutter-python-package.

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## Installation

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### From PyPI

Cookiecutter Python Package Demo is available on [PyPI](https://pypi.org/project/cookiecutter-python-package-demo/). Install with `pip` or your package manager of choice:

```bash
pip install cookiecutter-python-package-demo
```

### From source

If you'd like, you can also install Cookiecutter Python Package Demo from source (with [`flit`](https://flit.readthedocs.io/en/latest/)):

```bash
git clone https://github.com/sgraaf/cookiecutter-python-package-demo.git
cd cookiecutter-python-package-demo
python3 -m pip install flit
flit install
```

<!-- end docs-include-installation -->

## Documentation

Check out the [Cookiecutter Python Package Demo documentation](https://cookiecutter-python-package-demo.readthedocs.io/en/stable/) for the [User's Guide](https://cookiecutter-python-package-demo.readthedocs.io/en/stable/usage.html) and [API Reference](https://cookiecutter-python-package-demo.readthedocs.io/en/stable/api.html).

## Usage

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Usage instructions go here.

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simplemath-leonardosantosdev 0.1.3
A simple math operations package
Requires Python: >=3.6

# simplemath_leonardosantosdev

A simple Python package for basic arithmetic operations.

## Installation

```bash
pip install simplemath_leonardosantosdev
```

## Usage

```python
from simplemath_leonardosantosdev.arithmetic import add, subtract, multiply, divide

print(add(1, 2))  # Output: 3
print(subtract(5, 3))  # Output: 2
print(multiply(2, 4))  # Output: 8
print(divide(10, 2))  # Output: 5.0
```
batchop 0.1.2
Batch file operations with an intuitive syntax and safe defaults
Requires Python: <4.0,>=3.11

**WARNING: `batchop` is in early beta. It has bugs. Only use it on files that you have backed up.**

`batchop` is a command-line tool and Python library for doing operations on sets of files, with an
intuitive, human-readable syntax.

```shell
# or use `pipx` to install it in an isolated environment
$ pip install batchop

$ alias bop=batchop
$ bop list files with ext jpg
05_27_beach.jpg
05_27_cabin.jpg
05_28_hike.jpg
```

`batchop` can **list**, **count**, **rename**, and **delete** files. It's a general-purpose
replacement for `find`, `xargs`, hand-written `bash` loops, etc.

```shell
# change mm/dd to dd/mm/yyyy
$ bop rename '*_*_*.jpg' to '#2_#1_2024_#3.jpg'

# delete big out-takes
$ bop delete '*.jpg' in outtakes gt 5mb
```

Oh, and you can **undo** commands, too:

```shell
$ bop undo
# out-takes are back!
```
quipudigital 0.1.5
Una biblioteca de visualización de Quipus con Python

# Quipudigital

Una biblioteca de visualización de Quipus con Python

# Estructura del Proyecto

```
|--quipudigital/        <-- Archivos de python
|     |--assets/        <-- archivos GIF para construir un quipu
|
|--setup.py             <-- Define el Python build
```

# Uso

Un ejemplo de como usar la biblioteca

```
import quipudigital.main as qd
```

```
numbers =[1000, 2024, 1234 , 5234, 120, 1000]

quipu = qd.Quipu(numbers,x0=-300,y0=110)

quipu.screen.setup(width=0.59, height=0.99)  

quipu.draw()
```
<p align="center">
    <img  width="75%" src="https://raw.githubusercontent.com/jgomezz/quipudigital/main/quipu.png">
</p>
capstone-gt 5.0.1
GrammaTech's fork of the Capstone disassembly engine.
Requires Python: !=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7

To install Capstone, you should run `pip install capstone`.

If you would like to build Capstone with just the source distribution, without
pip, just run `python setup.py install` in the folder with setup.py in it.

In order to use this source distribution, you will need an environment that can
compile C code. On Linux, this is usually easy, but on Windows, this involves
installing Visual Studio and using the "Developer Command Prompt" to perform the
installation. See BUILDING.txt for more information.

By default, attempting to install the python bindings will trigger a build of
the capstone native core. If this is undesirable for whatever reason, for
instance, you already have a globally installed copy of libcapstone, you may
inhibit the build by setting the environment variable LIBCAPSTONE_PATH. The
exact value is not checked, just setting it will inhibit the build. During
execution, this variable may be set to the path of a directory containing a
specific version of libcapstone you would like to use.

If you don't want to build your own copy of Capstone, you can use a precompiled
binary distribution from PyPI. Saying `pip install capstone` should
automatically obtain an appropriate copy for your system. If it does not, please
open an issue at https://github.com/aquynh/capstone and tag @rhelmot - she
will fix this, probably!

--------------------------------------------------------------------------------

Capstone is a disassembly framework with the target of becoming the ultimate
disasm engine for binary analysis and reversing in the security community.

Created by Nguyen Anh Quynh, then developed and maintained by a small community,
Capstone offers some unparalleled features:

- Support multiple hardware architectures: ARM, ARM64 (ARMv8), Mips, PPC, Sparc,
  SystemZ, XCore and X86 (including X86_64).

- Having clean/simple/lightweight/intuitive architecture-neutral API.

- Provide details on disassembled instruction (called “decomposer” by others).

- Provide semantics of the disassembled instruction, such as list of implicit
  registers read & written.

- Implemented in pure C language, with lightweight wrappers for C++, C#, Go,
  Java, NodeJS, Ocaml, Python, Ruby & Vala ready (available in main code,
  or provided externally by the community).

- Native support for all popular platforms: Windows, Mac OSX, iOS, Android,
  Linux, *BSD, Solaris, etc.

- Thread-safe by design.

- Special support for embedding into firmware or OS kernel.

- High performance & suitable for malware analysis (capable of handling various
  X86 malware tricks).

- Distributed under the open source BSD license.

Further information is available at http://www.capstone-engine.org


[License]

This project is released under the BSD license. If you redistribute the binary
or source code of Capstone, please attach file LICENSE.TXT with your products.
shellsec 1.0.1
A tool to encrypt and decrypt Bash scripts using Base64 encoding.
Requires Python: >=3.6

# ShellSec

ShellSec is a Python package to encrypt and decrypt Bash scripts using Base64 encoding.

## Installation

You can install ShellSec using pip:

```bash
pip install shellsec
```

## Usage

### Command-line Interface

ShellSec provides a command-line interface for encrypting and decrypting Bash scripts.

#### Encrypt a Bash script

```bash
shellsec --encrypt input_script.sh output_script.sh
```

#### Decrypt an obfuscated Bash script

```bash
shellsec --decrypt input_script.sh output_script.sh
```

### Module Usage

You can also use ShellSec as a Python module in your scripts.

#### Encrypt a Bash script

```python
import shellsec

shellsec.encrypt_script('input_script.sh', 'output_script.sh')
```

#### Decrypt an obfuscated Bash script

```python
import shellsec

shellsec.decrypt_script('input_script.sh', 'output_script.sh')
```

## Example

Encrypt a Bash script:

```python
import shellsec

shellsec.encrypt_script('script.sh', 'encrypted_script.sh')
```

Decrypt an obfuscated Bash script:

```python
import shellsec

shellsec.decrypt_script('obfuscated_script.sh', 'decrypted_script.sh')
```

This will print "encrypted" if the script is successfully encrypted or decrypted, and "Not encrypted" if there's an error during the process.

```python
import shellsec

# Encrypt a script
if shellsec.encrypt_script('input_script.sh', 'output_script.sh'):
    print("File encrypted successfully.")
else:
    print("File not encrypted.")

# Decrypt a script
if shellsec.decrypt_script('input_script.sh', 'output_script.sh'):
    print("File decrypted successfully.")
else:
    print("File not decrypted.")
```

## Notes

- When encrypting, ShellSec encodes the script content using Base64 and embeds it in a Bash script for easy decryption.
- When decrypting, ShellSec extracts the Base64 encoded content and decodes it back to the original script.
- Ensure to keep your encrypted scripts safe, as they contain sensitive information.
- ShellSec is designed for simple encryption purposes and may not provide strong security against determined attackers.

## Thanks

Thank you for using ShellSec! If you find it helpful, consider starring the repository on GitHub.
dependency-analyzer 1.0.0
Analyzer of dependencies
Requires Python: >=3.7

# Dependency analyzer
[![Tests](https://github.com/Pinzauti/cern_oa/actions/workflows/python-package.yml/badge.svg)](https://github.com/Pinzauti/cern_oa/actions/workflows/python-package.yml)
[![Pylint](https://github.com/Pinzauti/cern_oa/actions/workflows/pylint.yml/badge.svg)](https://github.com/Pinzauti/cern_oa/actions/workflows/pylint.yml)

Online Assessment for CERN.
## How to run

First of all you have to create your virtual environment (`python3 -m venv env`). Then activate it and execute the following commands:
```bash
pip install .                           # It installs the package
python3 -m cern_oa.dep_graph            # It executes the script
```

## How to test

```bash
pip install .[test]                     # It installs the package and the test dependencies
python3 -m pytest                       # It executes the tests
```