How to Install and Uninstall libann-cctbx0 Package on Kali Linux
Last updated: December 25,2024
1. Install "libann-cctbx0" package
This guide let you learn how to install libann-cctbx0 on Kali Linux
$
sudo apt update
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$
sudo apt install
libann-cctbx0
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2. Uninstall "libann-cctbx0" package
Learn how to uninstall libann-cctbx0 on Kali Linux:
$
sudo apt remove
libann-cctbx0
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libann-cctbx0 package on Kali Linux
Package: libann-cctbx0
Source: ann (1.1.2+doc-9)
Version: 1.1.2+doc-9+b1
Installed-Size: 135
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Size: 32420
SHA256: 2fb9870f42c107b9ff2d0687a4acf4bfbb129d6f070e95926010939d236f9bfa
SHA1: 14a5aeabcd56cc6f4c6c25e70f652044026b019f
MD5sum: 84fc4f8aa92ebab01dfb83c95954f42d
Description: Approximate Nearest Neighbor Searching library (cctbx variant)
ANN is a library written in C++, which supports data structures and
algorithms for both exact and approximate nearest neighbor searching
in arbitrarily high dimensions. ANN assumes that distances
are measured using any class of distance functions called Minkowski
metrics. These include the well known Euclidean distance, Manhattan
distance, and max distance. ANN performs quite efficiently for point
sets ranging in size from thousands to hundreds of thousands, and in
dimensions as high as 20.
Description-md5:
Homepage: https://www.cs.umd.edu/~mount/ANN/
Section: libs
Priority: optional
Filename: pool/main/a/ann/libann-cctbx0_1.1.2+doc-9+b1_amd64.deb
Source: ann (1.1.2+doc-9)
Version: 1.1.2+doc-9+b1
Installed-Size: 135
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Size: 32420
SHA256: 2fb9870f42c107b9ff2d0687a4acf4bfbb129d6f070e95926010939d236f9bfa
SHA1: 14a5aeabcd56cc6f4c6c25e70f652044026b019f
MD5sum: 84fc4f8aa92ebab01dfb83c95954f42d
Description: Approximate Nearest Neighbor Searching library (cctbx variant)
ANN is a library written in C++, which supports data structures and
algorithms for both exact and approximate nearest neighbor searching
in arbitrarily high dimensions. ANN assumes that distances
are measured using any class of distance functions called Minkowski
metrics. These include the well known Euclidean distance, Manhattan
distance, and max distance. ANN performs quite efficiently for point
sets ranging in size from thousands to hundreds of thousands, and in
dimensions as high as 20.
Description-md5:
Homepage: https://www.cs.umd.edu/~mount/ANN/
Section: libs
Priority: optional
Filename: pool/main/a/ann/libann-cctbx0_1.1.2+doc-9+b1_amd64.deb