Added reference to golcg
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PyLCG is a high-performance Python implementation of a memory-efficient IP address sharding system using Linear Congruential Generators (LCG) for deterministic random number generation. This tool enables distributed scanning & network reconnaissance by efficiently dividing IP ranges across multiple machines while maintaining pseudo-random ordering.
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PyLCG is a high-performance Python implementation of a memory-efficient IP address sharding system using Linear Congruential Generators (LCG) for deterministic random number generation. This tool enables distributed scanning & network reconnaissance by efficiently dividing IP ranges across multiple machines while maintaining pseudo-random ordering.
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###### A GoLang version of this library is also available [here](https://github.com/acidvegas/golcg)
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## Features
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## Features
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- Memory-efficient IP range processing
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- Memory-efficient IP range processing
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setup.py
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setup.py
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#!/usr/bin/env python
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# PyLCG - Linear Congruential Generator for IP Sharding - Developed by acidvegas ib Python (https://github.com/acidvegas/pylcg)
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# setup.py
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from setuptools import setup, find_packages
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from setuptools import setup, find_packages
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with open("README.md", "r", encoding="utf-8") as fh:
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with open('README.md', 'r', encoding='utf-8') as fh:
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long_description = fh.read()
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long_description = fh.read()
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setup(
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setup(
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name="pylcg",
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name='pylcg',
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version="1.0.3",
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version='1.0.3',
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author="acidvegas",
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author='acidvegas',
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author_email="acid.vegas@acid.vegas",
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author_email='acid.vegas@acid.vegas',
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description="Linear Congruential Generator for IP Sharding",
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description='Linear Congruential Generator for IP Sharding',
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long_description=long_description,
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long_description=long_description,
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long_description_content_type="text/markdown",
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long_description_content_type='text/markdown',
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url="https://github.com/acidvegas/pylcg",
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url='https://github.com/acidvegas/pylcg',
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project_urls={
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project_urls={
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"Bug Tracker": "https://github.com/acidvegas/pylcg/issues",
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'Bug Tracker': 'https://github.com/acidvegas/pylcg/issues',
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"Documentation": "https://github.com/acidvegas/pylcg#readme",
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'Documentation': 'https://github.com/acidvegas/pylcg#readme',
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"Source Code": "https://github.com/acidvegas/pylcg",
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'Source Code': 'https://github.com/acidvegas/pylcg',
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},
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},
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classifiers=[
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classifiers=[
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"Development Status :: 5 - Production/Stable",
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'Development Status :: 5 - Production/Stable',
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"Intended Audience :: Developers",
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'Intended Audience :: Developers',
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"License :: OSI Approved :: ISC License (ISCL)",
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'License :: OSI Approved :: ISC License (ISCL)',
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"Operating System :: OS Independent",
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'Operating System :: OS Independent',
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"Programming Language :: Python :: 3",
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'Programming Language :: Python :: 3',
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"Programming Language :: Python :: 3.6",
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'Programming Language :: Python :: 3.6',
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"Programming Language :: Python :: 3.7",
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'Programming Language :: Python :: 3.7',
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"Programming Language :: Python :: 3.8",
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'Programming Language :: Python :: 3.8',
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"Programming Language :: Python :: 3.9",
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'Programming Language :: Python :: 3.9',
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"Programming Language :: Python :: 3.10",
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'Programming Language :: Python :: 3.10',
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"Programming Language :: Python :: 3.11",
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'Programming Language :: Python :: 3.11',
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"Topic :: Internet",
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'Topic :: Internet',
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"Topic :: Security",
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'Topic :: Security',
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"Topic :: Software Development :: Libraries :: Python Modules",
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'Topic :: Software Development :: Libraries :: Python Modules',
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],
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],
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packages=find_packages(),
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packages=find_packages(),
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python_requires=">=3.6",
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python_requires='>=3.6',
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entry_points={
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entry_points={
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'console_scripts': [
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'console_scripts': [
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'pylcg=pylcg.cli:main',
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'pylcg=pylcg.cli:main',
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import unittest
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#!/usr/bin/env python
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# PyLCG - Linear Congruential Generator for IP Sharding - Developed by acidvegas ib Python (https://github.com/acidvegas/pylcg)
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# unit_test.py
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import ipaddress
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import ipaddress
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import time
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import time
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import unittest
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from pylcg import IPRange, ip_stream, LCG
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from pylcg import IPRange, ip_stream, LCG
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