Result for A7C3A29CED01F91EE23CEA432AE2BDE1367B5A5A

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Children (100)

Query result

Key Value
FileSize1932824
MD5B02FE8005714A61DCCD16466765D9401
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 Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-cvxopt
PackageSectionpython
PackageVersion1.1.3-1fakesync1
SHA-1A7C3A29CED01F91EE23CEA432AE2BDE1367B5A5A
SHA-2568588BAAAEA47A20958D201DC135E5A5A88248453C593AD151A43E0CBB9454402
hashlookup:children-total100
hashlookup:trust50

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Children (Total: 100)

The searched file hash includes 100 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/doc/python-cvxopt/examples/filterdemo/README
FileSize445
MD51836C6FE26415939D5A6F32D3E1A1E34
SHA-1020D546E5EF64BE6333D2E45BE1B1DFC32F83C35
SHA-256E0BD74AB3AB9E69F55A77A6DEDC7BDE44750C3D250DAFABB2FC61E121AF03095
SSDEEP12:eZsDkMJ4/REY7AIKI08goCShQRv26NepL5XFHncqCcoCPPpG:oKkMJ/Y72I0KCQ0v26UpLZFHncjCZG
TLSHT123F02300C40D7DF4E342201BFD321470D8B5C90C23EA30195CFC56E55943DB0D4D1A90
Key Value
FileName./usr/lib/python2.6/dist-packages/cvxopt/blas.so
FileSize103368
MD50A20A07DF12DCAA53C5CA24A75A698A8
SHA-107F529E1C307DB07BD2B1BC1EB70884A875EC3F9
SHA-256F518600E401DDF9F7DC143B360DE9F79738ED76773374A18AF0E6B09D7FA8CBD
SSDEEP1536:07ti/PKP5DKne8H4JswxcsIeCOeTEAxKeGeAhtREjkXo:07N5DKne8YJesIYeT9EPhtREjkX
TLSHT1FEA3E823621690F2C2231DF508178CD74A7056330AE7ABD775AC0F79AFB7A912E09797
Key Value
FileName./usr/lib/python2.7/dist-packages/cvxopt/fftw.so
FileSize22452
MD5423C30A5728062A2CC38696E7C95A869
SHA-108EBACB17CB7B84BE8D8C48D99E9C39C8ED86959
SHA-256C8A6024B51285463AFF50CB0E69826BFDF8832A217D4964EB11DA007FC1C7A1F
SSDEEP384:9UCxnhDggLjG8eUT4YHepWGzmg7U3hkyMJuwZeJd7cA9QyrbMwVTOTcvTLqT+9Tg:D5hDffGST4Y+IGy8U3hkyMH8pjrbMwBb
TLSHT1DDA2C825644141B2C45300B0C687D9AFAA34E203317F8BBAF75D4CA9FB538617B79B9E
Key Value
FileName./usr/share/pyshared/cvxopt/msk.py
FileSize30303
MD5BE75B79CF584BCE72E192EBA9F18795C
SHA-10973A4BF52618DFC6A43690840B0A405B77DFE6A
SHA-256A79578F461864CEDF023EEB5E62E086A6FF384DBC9F33772396BEC757B9A5A95
SSDEEP384:K7R5stI/7kyl/sdF48C/eQsweUAq/MlXiI/l0kwCkHI/yr:Uvstkgyl/sdF48ODsweiaXik6kXkHkW
TLSHT11CD2830558400D3AA2A3817D8CD7CC097F6195633D8B2D7A386C91B86F1B737D7B87AA
Key Value
FileName./usr/share/doc/python-cvxopt/examples/book/chap6/regsel.py
FileSize3149
MD5437919296D51AC8F69D12500C0807F42
SHA-1097BB7690701B72F1ABB505DCC1016A792BE9EC9
SHA-25624429B539050989ACBB789680C3E5E10574C938435FDFAB373A23F7C0BA58B01
SSDEEP96:S3HRpoF7BL4lCI1wz9WAdB+73DXLv18byir:G7lCvRK3Db98bye
TLSHT142516544F4423C76865BD1A9E4D134204F2AD4272D1F289AFFAE3E888F478F54674389
Key Value
FileName./usr/lib/python2.7/dist-packages/cvxopt/base.so
FileSize157484
MD5ED6B8F3B8F2E98E775D2657A7C3CD7F9
SHA-10D87E5579545685C2537C3B37C16C4DEE87E6FBD
SHA-256A712F855496F53C7ADB1E3088FB310D6339196B9E3C529DD8E36FEF0F1C8D383
SSDEEP3072:N0GY/55Ltb7/qZmfOr2F5yqaUNS3qMAvdVNBELlHRUD92nol:xA+ZmfOr2DyqakMqM6dVNBELlxUD92
TLSHT140F34C17960380F3C43718F296436BEF4A21D633A552CEEA776C0D599B33E916A2C367
Key Value
FileName./usr/share/doc/python-cvxopt/examples/book/chap6/consumerpref.py
FileSize3991
MD55CCD74DD7D1E5423D4C8C18F3FEFCC2F
SHA-10FB481D08091F23B0622C13CC9F8ABFB75FF9BC3
SHA-256806DD9B8F6944C06A04A87D8FB2F986747E900D0136FFCFB5F40CA007D98891B
SSDEEP96:AJOmZEEFIXIZJj0SRQwC5Aw212g0SRojzhze:AImWCIXIZJj0S+wCCXgg0SiVe
TLSHT15D81EC03127AE9344A07D7FEE5913310A92DD8EB6D1A3886306E0E875F175ED6232D5F
Key Value
FileName./usr/share/doc/python-cvxopt/examples/doc/chap9/floorplan.py.gz
FileSize1507
MD53D46A3E0091B6C5456B860784E4ED58B
SHA-110B5C849601281E41F0E47BEA7D21D09AAE4391A
SHA-256B3D430325563926C6520EFC4BB2EF20814B6811390A6A6D86832690D27874061
SSDEEP24:Xby2zMH0eOxdTGRnLyIkbUNICSbQ8bd9iwZgbd0a5YmStsd/8y7BPL7wvBT7:XbrwitG1vNuQ0iw0+a5HSQ/z7Za7
TLSHT1FC310A927C3839084128FE4A0E861EEF602EC01F68A120A1347E301B9F096C780E53E9
Key Value
FileName./usr/share/doc/python-cvxopt/examples/doc/chap8/conelp.py
FileSize815
MD5EA54E397E3093B100C5BBF14C3A4E06D
SHA-114BC88EA42FD67A8DCA767FADCAAC178D8332816
SHA-256949E33AE7959C59A90D10159DA32363FDD36BB226DE58E1F3A4569FB46433DA2
SSDEEP12:UIFEa7NQBQMLt1YcTYeul+RHbq4Gn+1G2rAoDo29gzKaneSnYtfszECro:UI57NEnZful+xua/A8mKank2vc
TLSHT1AC01D49F91873CF4432E8B74A0471D1467B6C83979D73188387E8E2DAB3DB8496ACE54
Key Value
FileName./usr/share/doc/python-cvxopt/examples/book/chap7/expdesign.py.gz
FileSize1632
MD5B92636BDEC1E72ED7947008F204DB178
SHA-1152161D93560EC30BFAFA8017701AB5241DBAAD3
SHA-256AE8841BD9EE34A4791315BAC1D324BE5002ED9465C3E62DA0E635996D5371B38
SSDEEP24:X0rQx03RUiO+idzDxx0/mkPjclwGWdxE/ABToGpwVxf/La9CYIs2P:XmQu3NidztSdbciGIxAWTPwVg5Q
TLSHT1CE310A0790A731969639DD3EE84A5619306734F79C268ABC65782439B15322A3159339





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