Checking: python3-NiaARMTS-0.1.5-1.fc42.noarch.rpm
          python-niaarmts-doc-0.1.5-1.fc42.noarch.rpm
          python-niaarmts-0.1.5-1.fc42.src.rpm
============================ rpmlint session starts ============================
rpmlint: 2.6.1
configuration:
    /usr/lib/python3.13/site-packages/rpmlint/configdefaults.toml
    /etc/xdg/rpmlint/fedora-spdx-licenses.toml
    /etc/xdg/rpmlint/fedora.toml
    /etc/xdg/rpmlint/scoring.toml
    /etc/xdg/rpmlint/users-groups.toml
    /etc/xdg/rpmlint/warn-on-functions.toml
rpmlintrc: [PosixPath('/tmp/tmp09wjj16f')]
checks: 32, packages: 3

python-niaarmts-doc.noarch: W: no-documentation
python-niaarmts.src: E: description-line-too-long framework is designed for numerical association rule mining in time series data using
python-niaarmts.src: E: description-line-too-long stochastic population-based nature-inspired algorithms. It provides tools to extract
python-niaarmts.src: E: description-line-too-long association rules from time series datasets while incorporating key metrics such as
python-niaarmts.src: E: description-line-too-long support, confidence, inclusion, and amplitude. Although independent from the NiaARM
python3-NiaARMTS.noarch: E: description-line-too-long framework is designed for numerical association rule mining in time series data using
python3-NiaARMTS.noarch: E: description-line-too-long stochastic population-based nature-inspired algorithms. It provides tools to extract
python3-NiaARMTS.noarch: E: description-line-too-long association rules from time series datasets while incorporating key metrics such as
python3-NiaARMTS.noarch: E: description-line-too-long support, confidence, inclusion, and amplitude. Although independent from the NiaARM
 3 packages and 0 specfiles checked; 8 errors, 1 warnings, 12 filtered, 8 badness; has taken 0.1 s