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94c2e42 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 | # CST / QCST Dual License
# Non-commercial research use only.
# Commercial use requires explicit permission.
# Copyright (c) 2025 Mohamed Mohamed Elhelbawi
# All rights reserved.
# See LICENSE file in the project root for full license information.
SETUP_PY = '''
"""
Setup script for Contextual Spectrum Tokenization (CST)
"""
from setuptools import setup, find_packages
import os
# Read README file
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
# Read requirements
with open("requirements.txt", "r", encoding="utf-8") as fh:
requirements = [line.strip() for line in fh if line.strip() and not line.startswith("#")]
setup(
name="contextual-spectrum-tokenization",
version="0.1.0",
author="Your Name",
author_email="your.email@example.com",
description="A production-ready dynamic tokenization architecture for transformer models",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/yourusername/cst-implementation",
packages=find_packages(),
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
python_requires=">=3.8",
install_requires=requirements,
extras_require={
"dev": [
"pytest>=7.3.0",
"black>=23.3.0",
"flake8>=6.0.0",
"mypy>=1.3.0",
"pre-commit>=3.3.0",
],
"gpu": [
"faiss-gpu>=1.7.4",
],
"vision": [
"opencv-python>=4.7.0",
"timm>=0.9.0",
],
"audio": [
"librosa>=0.10.0",
"torchaudio>=2.0.0",
],
},
entry_points={
"console_scripts": [
"cst-train=cst.training.train:main",
"cst-evaluate=cst.evaluation.evaluate:main",
"cst-demo=cst.demo.demo:main",
],
},
include_package_data=True,
package_data={
"cst": [
"configs/*.yaml",
"data/*.json",
],
},
)
'''
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