Result for 05BD83675C2DA5E03892773E31EB66F7C5DA1594

Query result

Key Value
FileName./usr/lib/python2.5/site-packages/cvxopt/misc_solvers.so
FileSize29276
MD5F2642B2A6976A7BE33B19FF52E475172
SHA-105BD83675C2DA5E03892773E31EB66F7C5DA1594
SHA-2568DE5C9B1C12436C6A7598EEB1446A9EB90F9AF4E64738B4A515578739EA718FD
SSDEEP768:LG3fKQXAAtvwqWfPIlYY724YZsNnFIgDymUcZ0LN0ko7fOuMjtPzENic5ZYigW69:OTFKAmgzYWNn1IQQN47f0tPy4Z
TLSHT1FBD22A99D7C2D3B3EC4E94BB4BBF6BAC066CE690416B4C84C30454041F53F6A46AADB7
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1883340
MD585E248863BB90337EFC304AA62222397
PackageDescriptionPython package for convex optimization CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems.
PackageMaintainerSoeren Sonnenburg <sonne@debian.org>
PackageNamepython-cvxopt
PackageSectionpython
PackageVersion1.1-1build1
SHA-1E1887A8247FB4192D7392E638472FAC5D8DBD58C
SHA-256860CBFBE16801C509B856FE66FADE0C6B080485BD5E16EA7E7322D98DCB3232B