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✨ feat: Enhance setup configuration with detailed metadata and depend…
…encies, and add thinking-dataset.toml for improved project management
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""" | ||
Generate real-world insights and business case studies with strategic AI. | ||
""" | ||
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from setuptools import setup, find_packages | ||
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# Read README for long description | ||
with open("README.md", "r", encoding="utf-8") as fh: | ||
long_description = fh.read() | ||
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setup( | ||
name='thinking-dataset', | ||
version='0.0.1', | ||
packages=find_packages(), | ||
name="thinking-dataset", | ||
version="0.0.1", | ||
author="Kara Rawson", | ||
author_email="[email protected]", | ||
maintainer="MultiTonic", | ||
maintainer_email="[email protected]", | ||
description="Real-world business insights and case studies with AI", | ||
long_description=long_description, | ||
long_description_content_type="text/markdown", | ||
url="https://github.com/MultiTonic/thinking-dataset", | ||
project_urls={ | ||
"Homepage": "https://github.com/MultiTonic/thinking-dataset", | ||
"Documentation": | ||
"https://github.com/MultiTonic/thinking-dataset/tree/main/docs", | ||
"Repository": "https://github.com/MultiTonic/thinking-dataset", | ||
"Issues": "https://github.com/MultiTonic/thinking-dataset/issues", | ||
"Changelog": | ||
"https://github.com/MultiTonic/thinking-dataset/blob/main/CHANGELOG.md", # noqa | ||
"Discord": "https://discord.gg/RgxcdVFjpz", | ||
}, | ||
classifiers=[ | ||
"Development Status :: 4 - Beta", | ||
"Intended Audience :: Developers", | ||
"Intended Audience :: Science/Research", | ||
"Intended Audience :: Financial and Insurance Industry", | ||
"License :: OSI Approved :: MIT License", | ||
"Operating System :: OS Independent", | ||
"Programming Language :: Python :: 3", | ||
"Programming Language :: Python :: 3.10", | ||
"Programming Language :: Python :: 3.11", | ||
"Topic :: Scientific/Engineering :: Artificial Intelligence", | ||
"Topic :: Software Development :: Libraries :: Python Modules", | ||
"Topic :: Business", | ||
], | ||
packages=find_packages(exclude=["tests*", "docs*"]), | ||
python_requires=">=3.10", | ||
install_requires=[ | ||
'huggingface_hub[cli]', 'datasets', 'PyPDF2', 'python-dotenv', 'click', | ||
'requests', 'rich', 'sqlite-utils', 'pytest', 'pytest-html', | ||
'pytest-cov', 'loguru', 'pandas', 'numpy', 'scikit-learn', | ||
'sqlalchemy', 'tqdm', 'pydantic', 'python-statemachine', 'jsonschema', | ||
'ollama', 'tenacity', 'lorem-text' | ||
"huggingface_hub[cli]>=0.19.0", | ||
"datasets>=2.15.0", | ||
"PyPDF2>=3.0.0", | ||
"python-dotenv>=1.0.0", | ||
"click>=8.1.7", | ||
"requests>=2.31.0", | ||
"rich>=13.7.0", | ||
"sqlite-utils>=3.35.1", | ||
"pytest>=7.4.3", | ||
"pytest-html>=4.1.1", | ||
"pytest-cov>=4.1.0", | ||
"loguru>=0.7.2", | ||
"pandas>=2.1.3", | ||
"numpy<2.0.0", | ||
"scikit-learn>=1.3.2", | ||
"sqlalchemy>=2.0.23", | ||
"tqdm>=4.66.1", | ||
"pydantic>=2.5.2", | ||
"python-statemachine>=2.1.2", | ||
"jsonschema>=4.20.0", | ||
"ollama>=0.1.4", | ||
"tenacity>=8.2.3", | ||
"lorem-text>=2.1.1", | ||
], | ||
extras_require={ | ||
"dev": [ | ||
"black>=23.11.0", | ||
"isort>=5.12.0", | ||
"flake8>=6.1.0", | ||
"mypy>=1.7.1", | ||
"pre-commit>=3.5.0", | ||
], | ||
"test": [ | ||
"pytest>=7.4.3", | ||
"pytest-cov>=4.1.0", | ||
"pytest-html>=4.1.1", | ||
"pytest-mock>=3.12.0", | ||
"pytest-asyncio>=0.21.1", | ||
], | ||
"docs": [ | ||
"sphinx>=7.2.6", | ||
"sphinx-rtd-theme>=1.3.0", | ||
"sphinx-autodoc-typehints>=1.24.0", | ||
], | ||
"gpu": [ | ||
"torch>=2.1.0", | ||
], | ||
}, | ||
entry_points={ | ||
'console_scripts': [ | ||
'thinking-dataset = thinking_dataset.main:cli', | ||
"console_scripts": [ | ||
"thinking-dataset=thinking_dataset.main:cli", | ||
], | ||
}, | ||
keywords=[ | ||
"dataset", | ||
"ai", | ||
"machine-learning", | ||
"business", | ||
"case-studies", | ||
"strategic-ai", | ||
], | ||
package_data={ | ||
"thinking_dataset": [ | ||
"config/*.yaml", | ||
"assets/templates/*.md", | ||
"assets/prompts/*.md", | ||
], | ||
}, | ||
include_package_data=True, | ||
zip_safe=False, | ||
license="MIT", | ||
) |
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[project] | ||
name = "thinking-dataset" | ||
version = "0.0.1" | ||
description = "Generate real-world insights and business case studies with strategic AI" | ||
readme = "README.md" | ||
requires-python = ">=3.10" | ||
license = {text = "MIT"} | ||
keywords = ["dataset", "ai", "machine-learning", "business", "case-studies", "strategic-ai"] | ||
authors = [ | ||
{name = "Kara Rawson", email = "[email protected]"}, | ||
] | ||
maintainers = [ | ||
{name = "MultiTonic", email = "[email protected]"}, | ||
] | ||
classifiers = [ | ||
"Development Status :: 4 - Beta", | ||
"Intended Audience :: Developers", | ||
"Intended Audience :: Science/Research", | ||
"Intended Audience :: Financial and Insurance Industry", | ||
"License :: OSI Approved :: MIT License", | ||
"Operating System :: OS Independent", | ||
"Programming Language :: Python :: 3", | ||
"Programming Language :: Python :: 3.10", | ||
"Programming Language :: Python :: 3.11", | ||
"Topic :: Scientific/Engineering :: Artificial Intelligence", | ||
"Topic :: Software Development :: Libraries :: Python Modules", | ||
"Topic :: Business", | ||
] | ||
dependencies = [ | ||
"huggingface_hub[cli]>=0.19.0", | ||
"datasets>=2.15.0", | ||
"PyPDF2>=3.0.0", | ||
"python-dotenv>=1.0.0", | ||
"click>=8.1.7", | ||
"requests>=2.31.0", | ||
"rich>=13.7.0", | ||
"sqlite-utils>=3.35.1", | ||
"pytest>=7.4.3", | ||
"pytest-html>=4.1.1", | ||
"pytest-cov>=4.1.0", | ||
"loguru>=0.7.2", | ||
"pandas>=2.1.3", | ||
"numpy<2.0.0", | ||
"scikit-learn>=1.3.2", | ||
"sqlalchemy>=2.0.23", | ||
"tqdm>=4.66.1", | ||
"pydantic>=2.5.2", | ||
"python-statemachine>=2.1.2", | ||
"jsonschema>=4.20.0", | ||
"ollama>=0.1.4", | ||
"tenacity>=8.2.3", | ||
"lorem-text>=2.1.1", | ||
] | ||
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[project.optional-dependencies] | ||
dev = [ | ||
"black>=23.11.0", | ||
"isort>=5.12.0", | ||
"flake8>=6.1.0", | ||
"mypy>=1.7.1", | ||
"pre-commit>=3.5.0", | ||
] | ||
test = [ | ||
"pytest>=7.4.3", | ||
"pytest-cov>=4.1.0", | ||
"pytest-html>=4.1.1", | ||
"pytest-mock>=3.12.0", | ||
"pytest-asyncio>=0.21.1", | ||
] | ||
docs = [ | ||
"sphinx>=7.2.6", | ||
"sphinx-rtd-theme>=1.3.0", | ||
"sphinx-autodoc-typehints>=1.24.0", | ||
] | ||
gpu = [ | ||
"torch>=2.1.0", | ||
] | ||
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[project.urls] | ||
Homepage = "https://github.com/MultiTonic/thinking-dataset" | ||
Documentation = "https://github.com/MultiTonic/thinking-dataset/tree/main/docs" | ||
Repository = "https://github.com/MultiTonic/thinking-dataset" | ||
Issues = "https://github.com/MultiTonic/thinking-dataset/issues" | ||
Changelog = "https://github.com/MultiTonic/thinking-dataset/blob/main/CHANGELOG.md" | ||
Discord = "https://discord.gg/RgxcdVFjpz" | ||
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[project.scripts] | ||
thinking-dataset = "thinking_dataset.main:cli" | ||
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[tool.pytest.ini_options] | ||
minversion = "6.0" | ||
addopts = "-ra -q --cov=thinking_dataset --cov-report=html" | ||
testpaths = ["tests"] | ||
python_files = ["test_*.py"] | ||
python_functions = ["test_*"] | ||
python_classes = ["Test*"] | ||
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[tool.coverage.run] | ||
branch = true | ||
source = ["thinking_dataset"] | ||
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[tool.coverage.report] | ||
exclude_lines = [ | ||
"pragma: no cover", | ||
"def __repr__", | ||
"if self.debug:", | ||
"raise NotImplementedError", | ||
"if __name__ == .__main__.:", | ||
"pass", | ||
"raise ImportError", | ||
] | ||
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[tool.black] | ||
line-length = 79 | ||
target-version = ["py310"] | ||
include = '\.pyi?$' | ||
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[tool.isort] | ||
profile = "black" | ||
multi_line_output = 3 | ||
line_length = 79 | ||
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[tool.mypy] | ||
python_version = "3.10" | ||
warn_return_any = true | ||
warn_unused_configs = true | ||
disallow_untyped_defs = true | ||
check_untyped_defs = true | ||
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[build-system] | ||
requires = ["hatchling>=1.18.0"] | ||
build-backend = "hatchling.build" | ||
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[tool.hatch.build.targets.wheel] | ||
packages = ["thinking_dataset"] | ||
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[tool.hatch.metadata] | ||
allow-direct-references = true |