78 lines
2.1 KiB
TOML
78 lines
2.1 KiB
TOML
[build-system]
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requires = ["flit_core >=3.2,<4"]
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build-backend = "flit_core.buildapi"
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[tool.flit.module]
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name = "great_ai" # Module's import name/local folder name
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[project]
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name = "great-ai" # PyPI package name
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dynamic = ["version", "description"]
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readme = "README.md"
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authors = [{ name = "András Schmelczer", email = "andras@schmelczer.dev" }]
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license = { file = "LICENSE" }
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classifiers = [
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3",
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"Topic :: Software Development :: Libraries :: Python Modules",
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"Typing :: Typed",
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"Development Status :: 3 - Alpha",
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"License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
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"Natural Language :: English",
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]
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keywords = ["SE4ML", "MLOps", "AI engineering", "general", "robust", "end-to-end", "automated", "trustworthy", "ai", "deployment"]
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requires-python = ">= 3.7"
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dependencies = [
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"scikit-learn",
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"matplotlib",
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"numpy",
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"nbconvert",
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"ipython",
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"unidecode >= 1.3.0",
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"syntok >= 1.4.0",
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"langcodes[data] >= 3.3.0",
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"langdetect >= 1.0.9",
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"tinydb >= 4.7.0",
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"boto3 >= 1.23.0",
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"plotly >= 5.8.0",
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"pandas",
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"dash >= 2.4.0",
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"fastapi >= 0.70.0",
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"uvicorn[standard] >= 0.18.0",
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"watchdog >= 2.1.0",
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"typeguard >= 2.10.0",
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"pymongo >= 4.0.0",
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"dill >= 0.3.5.0",
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"tqdm",
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"httpx >= 0.20.0",
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]
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[project.optional-dependencies]
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dev = [
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"flit",
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"mkdocs",
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"mkdocstrings[python]",
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"mkdocs-material",
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"mkdocs-jupyter",
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"mkdocs-git-revision-date-localized-plugin",
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"autoflake",
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"isort",
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"black[jupyter]",
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"mypy",
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"flake8",
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"tox",
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"pytest",
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"pytest-cov",
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"pytest-asyncio",
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]
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[project.urls]
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Documentation = "https://great-ai.scoutinscience.com"
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GitHub = "https://github.com/schmelczer/great-ai"
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DockerHub = "https://hub.docker.com/repository/docker/schmelczera/great-ai"
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[project.scripts]
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great_ai = "great_ai.__main__:main"
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great-ai = "great_ai.__main__:main"
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large_file = "great_ai.large_file.__main__:main"
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large-file = "great_ai.large_file.__main__:main"
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