How to Install and Uninstall tinyeartrainer Package on Debian 10 (Buster)
Last updated: December 25,2024
1. Install "tinyeartrainer" package
In this section, we are going to explain the necessary steps to install tinyeartrainer on Debian 10 (Buster)
$
sudo apt update
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$
sudo apt install
tinyeartrainer
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2. Uninstall "tinyeartrainer" package
Please follow the guidance below to uninstall tinyeartrainer on Debian 10 (Buster):
$
sudo apt remove
tinyeartrainer
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the tinyeartrainer package on Debian 10 (Buster)
Package: tinyeartrainer
Version: 0.1.0-4
Installed-Size: 86
Maintainer: Tiago Bortoletto Vaz
Architecture: amd64
Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~), python-gtk2 (>= 2.10), python (>= 2.6), fluidsynth (>= 1.0), fluid-soundfont-gm
Description: A tool to learn recognizing musical intervals
Description-md5: e7ab28fd381f8c5fabe014586fb01d34
Homepage: http://29a.ch/tinyeartrainer
Tag: field::arts, implemented-in::python, interface::graphical,
interface::x11, role::program, uitoolkit::gtk, use::learning,
works-with::audio, works-with::people, x11::application
Section: gnome
Priority: optional
Filename: pool/main/t/tinyeartrainer/tinyeartrainer_0.1.0-4_amd64.deb
Size: 26520
MD5sum: 2f02d6e59e3ec94a8f47efd603ae61c3
SHA256: 7eb72aefe75e53da15a2e7510ec93e338e62a2b770032aa02e4132b05620645c
Version: 0.1.0-4
Installed-Size: 86
Maintainer: Tiago Bortoletto Vaz
Architecture: amd64
Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~), python-gtk2 (>= 2.10), python (>= 2.6), fluidsynth (>= 1.0), fluid-soundfont-gm
Description: A tool to learn recognizing musical intervals
Description-md5: e7ab28fd381f8c5fabe014586fb01d34
Homepage: http://29a.ch/tinyeartrainer
Tag: field::arts, implemented-in::python, interface::graphical,
interface::x11, role::program, uitoolkit::gtk, use::learning,
works-with::audio, works-with::people, x11::application
Section: gnome
Priority: optional
Filename: pool/main/t/tinyeartrainer/tinyeartrainer_0.1.0-4_amd64.deb
Size: 26520
MD5sum: 2f02d6e59e3ec94a8f47efd603ae61c3
SHA256: 7eb72aefe75e53da15a2e7510ec93e338e62a2b770032aa02e4132b05620645c