Result for 0AA3ADBB27C9B338DC11A5EBE87717D4C7CB9F0E

Query result

Key Value
FileName./usr/lib/python2.4/site-packages/cvxopt/dsdp.so
FileSize33032
MD5F7BA9A16C3BC46A01D2EF730459D9CE0
SHA-10AA3ADBB27C9B338DC11A5EBE87717D4C7CB9F0E
SHA-256207EA1BA21AB8B13F005D0E43B0E89FFDAEB68C4E542A16E235C7E1E7DB1128B
SSDEEP384:x0jhanT+/l2H6pz93MoOhiKwnO0FH/wuKIbVppA4XFU2so1XeBtN:x0NZ/l2sB3Mo+iKwnT4uHbVHsL0
TLSHT146E290537B42597BC46E23B242D3235D07BBE1658363435BB33A82303F6778A8F1A295
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
FileSize2264658
MD547F8B7C543B84C085500FDFBFEB88452
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-1EE834BCC343450BD5E4D04625440402D3A89AF50
SHA-25677018718E6D6272C56E2E7F42EDDD64ACAA368D4AEF0D958D4AFD6F69F6E8880