Result for 5235E9BFFDBF95D7FE0E552D165BECEEFE49BA65

Query result

Key Value
FileNamelapack-3.9.0-propagate-nan.patch
FileSize1630
MD5E1C442640AB188918C3E0C3135982821
SHA-15235E9BFFDBF95D7FE0E552D165BECEEFE49BA65
SHA-256C1A10A0B4F8AFC80C3420E782865B4CA8B925652C6256AB651DB2D948F1179E8
SSDEEP24:IufsRsLY+bAho3YQ3Q1wq6dgMwLHfsuytsV+bAP3TTQJldgkq:I4EAUho3YQg1wRd3wryWP3T0bd9q
TLSHT1F431A154189F4D169DEE86A43D2A2204242E972BD3BD14CDFEFD6C708759E8194D433F
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
MD5731CAE118F36ED1BF2CB26B6ACB6A736
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.
PackageMaintainerjoequant <joequant>
PackageNamelapack
PackageRelease3.mga8
PackageVersion3.9.0
SHA-114AD2135B227E710144C448D475E547686E4C968
SHA-256C69DC030552494278247632FBBBEE25F41E9ADBA5FC975EBF462AB626ED1933E
Key Value
MD59045CF0F9021541A5709ACB3C74A8536
PackageArchx86_64
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.
PackageMaintainerneoclust <neoclust>
PackageNamelapack
PackageRelease3.1.mga8
PackageVersion3.9.0
SHA-158C065A4515D6AC1A452D278F16728EB935CB165
SHA-25646D0968951335762E120B0B3F35CF87E8B3FAD651DDD88F7E058125EF7C89AC2