# 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="This packages can read PDF documents and automatically recognise chapter-titles, enumerations and other elements in the text and summarize the document part-by-part"

HOMEPAGE="https://gitlab.com/datainnovatielab/public/pdftextsplitter/dist/"
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/setuptools-59.6.0[${PYTHON_USEDEP}]
	>=dev-python/wheel-0.41.1[${PYTHON_USEDEP}]
	>=dev-python/build-0.10.0[${PYTHON_USEDEP}]
	>=dev-python/numpy-1.25.2[${PYTHON_USEDEP}]
	>=dev-python/pandas-2.0.3[${PYTHON_USEDEP}]
	>=dev-python/matplotlib-3.7.2[${PYTHON_USEDEP}]
	>=dev-python/pillow-10.0.0[${PYTHON_USEDEP}]
	dev-python/PyPDF2[${PYTHON_USEDEP}]
	dev-python/openai[${PYTHON_USEDEP}]
	dev-python/tiktoken[${PYTHON_USEDEP}]
	dev-python/PyMuPDF[${PYTHON_USEDEP}]
	dev-python/pdfminer-six[${PYTHON_USEDEP}]
	dev-python/thefuzz[${PYTHON_USEDEP}]
	dev-python/transformers[${PYTHON_USEDEP}]
	dev-python/nltk[${PYTHON_USEDEP}]
	<=dev-python/pytest-7.4.0[${PYTHON_USEDEP}]
	>=dev-python/coverage-7.3.0[${PYTHON_USEDEP}]
	>=dev-python/pylint-2.17.5[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"