How to Install and Uninstall libann0 Package on Kali Linux
Last updated: January 11,2025
1. Install "libann0" package
Please follow the step by step instructions below to install libann0 on Kali Linux
$
sudo apt update
Copied
$
sudo apt install
libann0
Copied
2. Uninstall "libann0" package
In this section, we are going to explain the necessary steps to uninstall libann0 on Kali Linux:
$
sudo apt remove
libann0
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the libann0 package on Kali Linux
Package: libann0
Source: ann (1.1.2+doc-9)
Version: 1.1.2+doc-9+b1
Installed-Size: 79
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Size: 25092
SHA256: 13c419c0daec7733adaa92efeb24b6cf52c9e7722e2cfe81f2b1a9464e4fc94c
SHA1: cde3fe279a6c4fd7cfbde4af69dc8dd69b5b6d38
MD5sum: 5c436ca7c771d4de65ee5f7b4523b1e5
Description: Approximate Nearest Neighbor Searching library
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/
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/a/ann/libann0_1.1.2+doc-9+b1_amd64.deb
Source: ann (1.1.2+doc-9)
Version: 1.1.2+doc-9+b1
Installed-Size: 79
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Size: 25092
SHA256: 13c419c0daec7733adaa92efeb24b6cf52c9e7722e2cfe81f2b1a9464e4fc94c
SHA1: cde3fe279a6c4fd7cfbde4af69dc8dd69b5b6d38
MD5sum: 5c436ca7c771d4de65ee5f7b4523b1e5
Description: Approximate Nearest Neighbor Searching library
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/
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/a/ann/libann0_1.1.2+doc-9+b1_amd64.deb