Result for 088376F5DA3C5D60875ACE565A31F57DD0B9AC05

Query result

Key Value
FileName./usr/lib/python2.4/site-packages/cvxopt/gsl.so
FileSize7864
MD5743CAE13021D7BE8B1E8E27E3F5BDB83
SHA-1088376F5DA3C5D60875ACE565A31F57DD0B9AC05
SHA-256EC848E7B7B2BDEED79534CD4B619FB3D4B48647F5193444D91381EE86EA6BD1B
SSDEEP96:rJK1tQJ6ZscsTuIu1lDEFkUW+iSXvzFeeBVYTtDcHZUvbXAV1Y726oP0SPX3uX+N:rJK1a9ZCIu1REOoR7zSwn4BOEa
TLSHT107F12EE777A29E36C4E41A3880EB4713671C8A0099A68367B18D85663FC66603D3B7D2
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
FileSize1669268
MD5C15C1518DF856441D6F095C0CD0050AC
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.
PackageMaintainerUbuntu MOTU Developers <ubuntu-motu@lists.ubuntu.com>
PackageNamepython-cvxopt
PackageSectionpython
PackageVersion0.9.3-1
SHA-13E8B0677EB95B5329C3CCA180DC822426A4B3A24
SHA-256E221ABA62E593B2A1C0F7A402346DB9C0586A10D439535CC27F6D01C86397014