Datasets:
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json
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English
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Tags:
artificial-intelligence
recursive-self-improvement
continual-learning
representation-learning
world-models
cognitive-architecture
Download pyproject.toml from PureOne/FNE-AXIOMESH: direct link, hf CLI and curl.
- Browser
- Download file 398 Bytes
-
https://huggingface.co/datasets/PureOne/FNE-AXIOMESH/resolve/main/pyproject.toml
- Command line
-
hf download hf://datasets/PureOne/FNE-AXIOMESH/pyproject.toml
-
curl -L -o pyproject.toml https://huggingface.co/datasets/PureOne/FNE-AXIOMESH/resolve/main/pyproject.toml
398 Bytes
| [build-system] | |
| requires = ["setuptools>=68"] | |
| build-backend = "setuptools.build_meta" | |
| [project] | |
| name = "fne-axiomesh-research" | |
| version = "0.2.0" | |
| description = "Exact operator-closed regenerative quotient research kernel" | |
| requires-python = ">=3.10" | |
| dependencies = ["numpy>=1.24"] | |
| [tool.setuptools.packages.find] | |
| where = ["src"] | |
| [tool.pytest.ini_options] | |
| pythonpath = ["src"] | |
| testpaths = ["tests"] | |