| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 2.8.8 | 8 | ~amd64 ~x86 | 0 |
# automatically generated by g-sorcery
# please do not edit this file
EAPI=8
REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone
inherit python-r1 gs-pypi
DESCRIPTION="LEGO blocks for AI: Build state-of-the-art models faster with modular PyTorch components."
HOMEPAGE="https://github.com/kyegomez/zeta"
LICENSE="MIT"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME}-${REALVERSION}.tar.gz"
RESTRICT="test"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE=""
DEPENDENCIES="dev-python/torch[${PYTHON_USEDEP}]
dev-python/einops[${PYTHON_USEDEP}]
dev-python/bitsandbytes[${PYTHON_USEDEP}]
dev-python/transformers[${PYTHON_USEDEP}]
dev-python/einops-exts[${PYTHON_USEDEP}]
dev-python/torchvision[${PYTHON_USEDEP}]
dev-python/accelerate[${PYTHON_USEDEP}]
dev-python/vector-quantize-pytorch[${PYTHON_USEDEP}]
dev-python/beartype[${PYTHON_USEDEP}]
dev-python/tqdm[${PYTHON_USEDEP}]
dev-python/rich[${PYTHON_USEDEP}]
dev-python/CoLT5-attention[${PYTHON_USEDEP}]
dev-python/argparse[${PYTHON_USEDEP}]
dev-python/local-attention[${PYTHON_USEDEP}]
dev-python/loguru[${PYTHON_USEDEP}]
<dev-python/joblib-1.4.0[${PYTHON_USEDEP}]
<dev-python/scikit-learn-1.6.0[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"
dev-python/torch[${PYTHON_USEDEP}]
dev-python/einops[${PYTHON_USEDEP}]
dev-python/bitsandbytes[${PYTHON_USEDEP}]
dev-python/transformers[${PYTHON_USEDEP}]
dev-python/einops-exts[${PYTHON_USEDEP}]
dev-python/torchvision[${PYTHON_USEDEP}]
dev-python/accelerate[${PYTHON_USEDEP}]
dev-python/vector-quantize-pytorch[${PYTHON_USEDEP}]
dev-python/beartype[${PYTHON_USEDEP}]
dev-python/tqdm[${PYTHON_USEDEP}]
dev-python/rich[${PYTHON_USEDEP}]
dev-python/CoLT5-attention[${PYTHON_USEDEP}]
dev-python/argparse[${PYTHON_USEDEP}]
dev-python/local-attention[${PYTHON_USEDEP}]
dev-python/loguru[${PYTHON_USEDEP}]
<dev-python/joblib-1.4.0[${PYTHON_USEDEP}]
<dev-python/scikit-learn-1.6.0[${PYTHON_USEDEP}]
dev-python/torch[${PYTHON_USEDEP}]
dev-python/einops[${PYTHON_USEDEP}]
dev-python/bitsandbytes[${PYTHON_USEDEP}]
dev-python/transformers[${PYTHON_USEDEP}]
dev-python/einops-exts[${PYTHON_USEDEP}]
dev-python/torchvision[${PYTHON_USEDEP}]
dev-python/accelerate[${PYTHON_USEDEP}]
dev-python/vector-quantize-pytorch[${PYTHON_USEDEP}]
dev-python/beartype[${PYTHON_USEDEP}]
dev-python/tqdm[${PYTHON_USEDEP}]
dev-python/rich[${PYTHON_USEDEP}]
dev-python/CoLT5-attention[${PYTHON_USEDEP}]
dev-python/argparse[${PYTHON_USEDEP}]
dev-python/local-attention[${PYTHON_USEDEP}]
dev-python/loguru[${PYTHON_USEDEP}]
<dev-python/joblib-1.4.0[${PYTHON_USEDEP}]
<dev-python/scikit-learn-1.6.0[${PYTHON_USEDEP}]
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | zetascale-2.8.8.tar.gz | 370189 bytes | https://files.pythonhosted.org/packages/source/${REALNAME::1}/zetascale/zetascale-2.8.8.tar.gz |