| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.0.25 | 8 | ~amd64 ~x86 | 0 |
# automatically generated by g-sorcery
# please do not edit this file
EAPI=8
REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python3_11 )
DISTUTILS_USE_PEP517=standalone
inherit python-r1 gs-pypi
DESCRIPTION="Fast Run-Eval-Polish Loop for LLM App"
HOMEPAGE=""
LICENSE="MIT"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME}-${REALVERSION}.tar.gz"
RESTRICT="test"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE="langfuse ragas sas"
DEPENDENCIES="dev-python/openai[${PYTHON_USEDEP}]
dev-python/cohere[${PYTHON_USEDEP}]
dev-python/tiktoken[${PYTHON_USEDEP}]
dev-python/litellm[${PYTHON_USEDEP}]
dev-python/evaluate[${PYTHON_USEDEP}]
dev-python/cuid2[${PYTHON_USEDEP}]
<dev-python/rich-14.0.0[${PYTHON_USEDEP}]
dev-python/IProgress[${PYTHON_USEDEP}]
<dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}]
dev-python/backoff[${PYTHON_USEDEP}]
<dev-python/statsmodels-0.15.0[${PYTHON_USEDEP}]
>=dev-python/httpx-0.24.0[${PYTHON_USEDEP}]
dev-python/wrapt-timeout-decorator[${PYTHON_USEDEP}]
sas? ( dev-python/sentence-transformers[${PYTHON_USEDEP}] )
sas? ( dev-python/transformers[${PYTHON_USEDEP}] )
sas? ( dev-python/torch[${PYTHON_USEDEP}] )
ragas? ( dev-python/ragas[${PYTHON_USEDEP}] )
ragas? ( dev-python/datasets[${PYTHON_USEDEP}] )
langfuse? ( dev-python/langfuse[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"
dev-python/openai[${PYTHON_USEDEP}]
dev-python/cohere[${PYTHON_USEDEP}]
dev-python/tiktoken[${PYTHON_USEDEP}]
dev-python/litellm[${PYTHON_USEDEP}]
dev-python/evaluate[${PYTHON_USEDEP}]
dev-python/cuid2[${PYTHON_USEDEP}]
<dev-python/rich-14.0.0[${PYTHON_USEDEP}]
dev-python/IProgress[${PYTHON_USEDEP}]
<dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}]
dev-python/backoff[${PYTHON_USEDEP}]
<dev-python/statsmodels-0.15.0[${PYTHON_USEDEP}]
>=dev-python/httpx-0.24.0[${PYTHON_USEDEP}]
dev-python/wrapt-timeout-decorator[${PYTHON_USEDEP}]
sas? ( dev-python/sentence-transformers[${PYTHON_USEDEP}] )
sas? ( dev-python/transformers[${PYTHON_USEDEP}] )
sas? ( dev-python/torch[${PYTHON_USEDEP}] )
ragas? ( dev-python/ragas[${PYTHON_USEDEP}] )
ragas? ( dev-python/datasets[${PYTHON_USEDEP}] )
langfuse? ( dev-python/langfuse[${PYTHON_USEDEP}] )
dev-python/openai[${PYTHON_USEDEP}]
dev-python/cohere[${PYTHON_USEDEP}]
dev-python/tiktoken[${PYTHON_USEDEP}]
dev-python/litellm[${PYTHON_USEDEP}]
dev-python/evaluate[${PYTHON_USEDEP}]
dev-python/cuid2[${PYTHON_USEDEP}]
<dev-python/rich-14.0.0[${PYTHON_USEDEP}]
dev-python/IProgress[${PYTHON_USEDEP}]
<dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}]
dev-python/backoff[${PYTHON_USEDEP}]
<dev-python/statsmodels-0.15.0[${PYTHON_USEDEP}]
>=dev-python/httpx-0.24.0[${PYTHON_USEDEP}]
dev-python/wrapt-timeout-decorator[${PYTHON_USEDEP}]
sas? ( dev-python/sentence-transformers[${PYTHON_USEDEP}] )
sas? ( dev-python/transformers[${PYTHON_USEDEP}] )
sas? ( dev-python/torch[${PYTHON_USEDEP}] )
ragas? ( dev-python/ragas[${PYTHON_USEDEP}] )
ragas? ( dev-python/datasets[${PYTHON_USEDEP}] )
langfuse? ( dev-python/langfuse[${PYTHON_USEDEP}] )
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | fastrepl-0.0.25.tar.gz | 26109 bytes | https://files.pythonhosted.org/packages/source/${REALNAME::1}/fastrepl/fastrepl-0.0.25.tar.gz |