Result for 7FEE3B0BBFD853B4CF5BB2E6D8AFD85E3F327FDE

Query result

Key Value
FileNameMakefile.blas
FileSize1505
MD5C7D3530FAF06C817C5F41873ADB5EECF
SHA-17FEE3B0BBFD853B4CF5BB2E6D8AFD85E3F327FDE
SHA-2566B8C48733AEE27D339AF5CDCE9A1C92C789635797541592ACD0605E986AEF8E4
SSDEEP24:W62tqUyPR8h8IMJKqY0X4mwRi1WP/XtB/7iI0cT4dcQJ1th6MDvKFzeZsOGvFR4:W6gg58h8I/h0X4mki1WHd9F0cT4dcQJ9
TLSHT1D331F4BED8BB1315E407AFF9DC31C10D8429FD2AE2CB49053A061BF9B47886E5764A61
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
MD5A0C977A2D31DC0CA5B9068E7C2BBB6E6
PackageArcharmv5tel
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.
PackageMaintainerFedora Project
PackageNamelapack
PackageRelease4.fc13
PackageVersion3.2.1
SHA-1B376ECC3F93E721FC99037D10D3F8B3D9792A2AA
SHA-256DEC335B8015C7EDD2DC2FBAA10DE8F1A9FF86875B978D03547C48AA8DF39FE14
Key Value
MD529F05F72BBA1FFDED32EA2336F17239F
PackageArchsparc64
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.
PackageMaintainerFedora Project
PackageNamelapack
PackageRelease3.fc12
PackageVersion3.2.1
SHA-1A0381BE0E3AA74664762C24A0DC7DF20B11D7EC0
SHA-2561D772980965E522E1A38FFB97836CE4A90A8DD1510F12EA5156DE5A6968A9820