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dev-python/qxmt - 0.5.10 (pypi)

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Package Information

Description:
QXMT is a experiment management tool for quantum computing and quantum machine learning.
Homepage:
https://github.com/kenya-sk/qxmt
License:
MIT

Ebuild Details

Version EAPI Keywords Slot
0.5.10 8 ~amd64 ~x86 0
View Raw Ebuild 
# 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} )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="QXMT is a experiment management tool for quantum computing and quantum machine learning."

HOMEPAGE="https://github.com/kenya-sk/qxmt"
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="llm"
DEPENDENCIES="<dev-python/pydantic-3.0.0[${PYTHON_USEDEP}]
	<dev-python/pandas-3.0.0[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}]
	dev-python/PennyLane[${PYTHON_USEDEP}]
	<dev-python/dill-0.4.0[${PYTHON_USEDEP}]
	<dev-python/pyyaml-7.0.0[${PYTHON_USEDEP}]
	llm? ( dev-python/torch[${PYTHON_USEDEP}] )
	llm? ( dev-python/transformers[${PYTHON_USEDEP}] )
	<dev-python/seaborn-0.14.0[${PYTHON_USEDEP}]
	dev-python/openml[${PYTHON_USEDEP}]
	dev-python/optuna[${PYTHON_USEDEP}]
	<dev-python/h5py-4.0.0[${PYTHON_USEDEP}]
	<dev-python/rich-14.0.0[${PYTHON_USEDEP}]
	<dev-python/numpy-2.1.0[${PYTHON_USEDEP}]
	<dev-python/qiskit-2.0.0[${PYTHON_USEDEP}]
	dev-python/qiskit-ibm-runtime[${PYTHON_USEDEP}]
	dev-python/PennyLane-qiskit[${PYTHON_USEDEP}]
	~dev-python/qiskit-aer-0.17.1[${PYTHON_USEDEP}]
	dev-python/amazon-braket-pennylane-plugin[${PYTHON_USEDEP}]
	dev-python/amazon-braket-sdk[${PYTHON_USEDEP}]
	dev-python/pyscf[${PYTHON_USEDEP}]
	<dev-python/aiohttp-4.0.0[${PYTHON_USEDEP}]
	<dev-python/fsspec-2026.0.0[${PYTHON_USEDEP}]
	<dev-python/scipy-2.0.0[${PYTHON_USEDEP}]
	dev-python/autoray[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"

USE Flags

llm

Dependencies

RDEPEND

<dev-python/pydantic-3.0.0[${PYTHON_USEDEP}]
	<dev-python/pandas-3.0.0[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}]
	dev-python/PennyLane[${PYTHON_USEDEP}]
	<dev-python/dill-0.4.0[${PYTHON_USEDEP}]
	<dev-python/pyyaml-7.0.0[${PYTHON_USEDEP}]
	llm? ( dev-python/torch[${PYTHON_USEDEP}] )
	llm? ( dev-python/transformers[${PYTHON_USEDEP}] )
	<dev-python/seaborn-0.14.0[${PYTHON_USEDEP}]
	dev-python/openml[${PYTHON_USEDEP}]
	dev-python/optuna[${PYTHON_USEDEP}]
	<dev-python/h5py-4.0.0[${PYTHON_USEDEP}]
	<dev-python/rich-14.0.0[${PYTHON_USEDEP}]
	<dev-python/numpy-2.1.0[${PYTHON_USEDEP}]
	<dev-python/qiskit-2.0.0[${PYTHON_USEDEP}]
	dev-python/qiskit-ibm-runtime[${PYTHON_USEDEP}]
	dev-python/PennyLane-qiskit[${PYTHON_USEDEP}]
	~dev-python/qiskit-aer-0.17.1[${PYTHON_USEDEP}]
	dev-python/amazon-braket-pennylane-plugin[${PYTHON_USEDEP}]
	dev-python/amazon-braket-sdk[${PYTHON_USEDEP}]
	dev-python/pyscf[${PYTHON_USEDEP}]
	<dev-python/aiohttp-4.0.0[${PYTHON_USEDEP}]
	<dev-python/fsspec-2026.0.0[${PYTHON_USEDEP}]
	<dev-python/scipy-2.0.0[${PYTHON_USEDEP}]
	dev-python/autoray[${PYTHON_USEDEP}]

BDEPEND

<dev-python/pydantic-3.0.0[${PYTHON_USEDEP}]
	<dev-python/pandas-3.0.0[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}]
	dev-python/PennyLane[${PYTHON_USEDEP}]
	<dev-python/dill-0.4.0[${PYTHON_USEDEP}]
	<dev-python/pyyaml-7.0.0[${PYTHON_USEDEP}]
	llm? ( dev-python/torch[${PYTHON_USEDEP}] )
	llm? ( dev-python/transformers[${PYTHON_USEDEP}] )
	<dev-python/seaborn-0.14.0[${PYTHON_USEDEP}]
	dev-python/openml[${PYTHON_USEDEP}]
	dev-python/optuna[${PYTHON_USEDEP}]
	<dev-python/h5py-4.0.0[${PYTHON_USEDEP}]
	<dev-python/rich-14.0.0[${PYTHON_USEDEP}]
	<dev-python/numpy-2.1.0[${PYTHON_USEDEP}]
	<dev-python/qiskit-2.0.0[${PYTHON_USEDEP}]
	dev-python/qiskit-ibm-runtime[${PYTHON_USEDEP}]
	dev-python/PennyLane-qiskit[${PYTHON_USEDEP}]
	~dev-python/qiskit-aer-0.17.1[${PYTHON_USEDEP}]
	dev-python/amazon-braket-pennylane-plugin[${PYTHON_USEDEP}]
	dev-python/amazon-braket-sdk[${PYTHON_USEDEP}]
	dev-python/pyscf[${PYTHON_USEDEP}]
	<dev-python/aiohttp-4.0.0[${PYTHON_USEDEP}]
	<dev-python/fsspec-2026.0.0[${PYTHON_USEDEP}]
	<dev-python/scipy-2.0.0[${PYTHON_USEDEP}]
	dev-python/autoray[${PYTHON_USEDEP}]

Manifest for 0.5.10

Type File Size Source URLs
DIST qxmt-0.5.10.tar.gz 90669 bytes https://files.pythonhosted.org/packages/source/${REALNAME::1}/qxmt/qxmt-0.5.10.tar.gz