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57 lines (53 loc) · 1.45 KB
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[project]
name = "modelizer"
authors = [{name = "Tural Mammadov", email = "turalevro@gmail.com"}]
version = "2.0.1"
description = "A library for building tools that can automatically learn program models from I/O examples"
readme = "README.md"
requires-python = ">=3.10"
license = {text = "GNU GPLv3 or later"}
keywords = ["deep learning", "program analysis", "machine learning", "artificial intelligence", "reverse engineering"]
classifiers = [
"Framework :: Modelizer",
"Programming Language :: Python :: 3",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering",
"Topic :: Software Development :: Analysis",
"Topic :: Software Development :: Reverse Engineering",
"Topic :: Software Development :: Behavior Extraction",
"Topic :: Software Development :: Machine Learning",
]
dependencies = [
# General
'tqdm',
'wandb',
'numpy',
'xxhash',
'pandas',
'psutil',
'requests',
'cloudpickle',
'func-timeout',
# Metrics
'nltk',
'jiwer',
'levenshtein',
# Modeling
'torch>=2.0',
'optuna',
'hf_xet',
'tokenizers',
'bitsandbytes',
'x-transformers',
'transformers[torch]',
]
[project.optional-dependencies]
cuda = [
'flash-attn',
]
[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"
[project.urls]
"Homepage" = "https://github.com/2ral/modelizer"
"Bug Tracker" = "https://github.com/2ral/modelizer/issues"