Result for 499167C769BC74AFD373E8DD21E0B7D8C0B832FC

Query result

Key Value
FileNamelapack-3.8.0-missing-aawork.patch
FileSize735
MD5C749FC94E83A1BC30F40123C1CD6DF22
SHA-1499167C769BC74AFD373E8DD21E0B7D8C0B832FC
SHA-2561A240ABF06EC2B227DD682FE4549019D90BF62D335925408DB8D5EE8B1EDE10D
SSDEEP12:crpleDrFVo+9vWbAgvWb7vWR4uvWegvW6AvWf+KtRvrAgvr7vhcvOgvqAvv+z:oje3ngAmR4ZevMf+A3w+z
TLSHT1EF017C2391D08A636E3825E721BC851DE07FD9B588DC32C8AA0C677ADDFA54C16E2349
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
MD566B4D6911A6B1BFA19389E1D10A61185
PackageArchaarch64
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.
PackageMaintainerumeabot <umeabot>
PackageNamelapack
PackageRelease4.mga7
PackageVersion3.8.0
SHA-1E84879BF390C9C88B8500695611EDF0B07F2B54E
SHA-256128EF1259A15E7B7C42A4D41B912A32DC450537D5A85E2FCECA185376A15028D
Key Value
MD558AA8815F2A6C596244047B140EE4890
PackageArchi686
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 Fortran90 and built with gcc.
PackageMaintainerCloudLinux Packaging Team <packager@cloudlinux.com>
PackageNamelapack
PackageRelease8.el8
PackageVersion3.8.0
SHA-109F0A12FEFADB8B2882C5D79DB3ED3522F4388BB
SHA-2567500CC914B5DA172A1BFD4D4E8B7AA60BF31904E2564543D58EB766A01B86B62