Result for B999A2A4F5BEBB4CC988A40C923C3DF2E86C3161

Query result

Key Value
FileName./usr/lib/.build-id/f1/0bde74fb7910a18e0ad77bd2224bcca536ff14
FileSize40
MD5E87D02372A5721AF5F7119814212B55D
SHA-1B999A2A4F5BEBB4CC988A40C923C3DF2E86C3161
SHA-256667A1EFBBDFEB3C8C4438D32F18247659EF07920481BDA46FD47913F81015160
SSDEEP3:gCD/FyVVgn:X/Qgn
TLSH
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD552613DB8E7387052D4C81EA6AFDA2B52
PackageArchi586
PackageDescriptionLAPACK (Linear Algebra PACKage) is a standard library for numerical linear algebra. LAPACK provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. Associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, and generalized Schur) and related computations (i.e., reordering of Schur factorizations and estimating condition numbers) are also included. LAPACK can handle dense and banded matrices, but not general sparse matrices. Similar functionality is provided for real and complex matrices in both single and double precision. LAPACK is coded in Fortran77 and built with gcc. The lapack package provides the dynamic libraries for LAPACK/BLAS.
PackageMaintainerluigiwalser <luigiwalser>
PackageNameliblapack3
PackageRelease1.mga9
PackageVersion3.10.1
SHA-14064F15611E425E996151B945804F104873FEC76
SHA-256188AA367CCC85C839C836F17F6A93FBB220884C676298CC7AB33F4239456C1EA
Key Value
MD527B34C4FBDCD9CE2A9CEF00FA15A9F65
PackageArcharmv7hl
PackageDescriptionLAPACK (Linear Algebra PACKage) is a standard library for numerical linear algebra. LAPACK provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. Associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, and generalized Schur) and related computations (i.e., reordering of Schur factorizations and estimating condition numbers) are also included. LAPACK can handle dense and banded matrices, but not general sparse matrices. Similar functionality is provided for real and complex matrices in both single and double precision. LAPACK is coded in Fortran77 and built with gcc. The lapack package provides the dynamic libraries for LAPACK/BLAS.
PackageMaintainerluigiwalser <luigiwalser>
PackageNameliblapack3
PackageRelease1.mga9
PackageVersion3.10.1
SHA-12085E4D1869EA1BF291AC2BB4437B8DBEB501656
SHA-256C21B5CD57FF8239DB683185FD931A21D7211E1E855C99F0D64415CEEFC323227