Result for BFE19DBD1FABE6FFA0D3500052765DC521409357

Query result

Key	Value
FileSize	150416
MD5	0EA0664A3C2B962D211E5BFCBBA3C6B9
PackageDescription	Sparse linear algebra extension for Python: documentation This package provides documents and examples for python-sparse, a set of sparse matrix types for Python, with modules which implement: - Iterative methods for solving linear systems of equations - A set of standard preconditioners - An interface to a direct solver for sparse linear systems of equations - The JDSYM eigensolver . All of these modules are implemented as C extension modules based on standard sparse and dense matrix libraries (UMFPACK/AMD, SuperLU, BLAS/LAPACK) for maximum performance.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-sparse-examples
PackageSection	python
PackageVersion	1.1.1-1
SHA-1	BFE19DBD1FABE6FFA0D3500052765DC521409357
SHA-256	9CA250CBC0C9E13565F34108C38FCF705F2857685C664D730AF5AAC248A1B16A
hashlookup:children-total	17
hashlookup:trust	50

Network graph view

Children (Total: 17)

The searched file hash includes 17 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/share/doc/python-sparse-examples/examples/Examples/poisson_gmres.py.gz
FileSize	794
MD5	B0D52AFC899C4B805AA4C3F17DF96A03
SHA-1	36E138F7FBA66C2664FC093CD0D74EFA705E105B
SHA-256	3BEC6B966CCE0060A694BFD5B07866E7CDA4C8FD3DEDF066D3F29C344433158D
SSDEEP	12:XiS//FbZWQLYOZvDMHBHAAU9s4gDK2o63Rhjk/Ly9VwPwYvL6WdL6cVCfH6h:XfRZWkhDMHhAAT4gWAE/LyoPJD6QHVCo
TLSH	T17401C501CCED52EDD1282894ABCFE5244A112038F9C2032EC1F5F10253877D0B2A0E62

Key	Value
FileName	./usr/share/doc-base/python-sparse
FileSize	586
MD5	26C93AFBFA8600371EBE39ECCB5ED82F
SHA-1	3883ABAB2CE7B19DE0977EBC5C26FFCC167C7D08
SHA-256	F501B04F8DDAADB2B542274D951D420AB28F32DBB1034E42EAA803F6B010386C
SSDEEP	12:k6WwWvmPitFmBfm73ye0iK9mweu7REqjYy+JY:kMdqb3yh9mweSjYy+JY
TLSH	T1E0F0AC22222591A8017B9384ED451C120B7A50E5F50FA55A90FC2D616D53CEB02BF188

Key	Value
FileName	./usr/share/doc/python-sparse-examples/examples/Examples/matmul_perftest.py
FileSize	475
MD5	D9C3869091C39B572F90A883E5564173
SHA-1	46EC387687DD00BD0E5173D27F6CC9BF12B0184F
SHA-256	806E26D845D789F3E1743DA63AF1CB79E80807C74F6EE3675661881B1DC634F6
SSDEEP	12:vTxNdYIOoWz9iKvFYiKvjJLBq9h5F292UvOrCIdgDOv0Wyyeav:vbnmvF6vC55EkCIdt0dOv
TLSH	T113F0EC02FC641645C0374999DCA16CBA7F619077BF96AD01BD1D0C464F921474776747

Key	Value
FileName	./usr/share/doc/python-sparse-examples/examples/Examples/umftest.py
FileSize	777
MD5	F6EFAB38F8D8B151324592F79513A0EB
SHA-1	49CFB4AFF373B26A196320502A2490C857F32971
SHA-256	37B037B3C0F6E1AAB5B871C19F9E52EF744796C293767518C33CBCC0DDF03AFE
SSDEEP	12:1VTxNfT4/QVTGisckKT7XAOH/bTx5tHI+qkAPL1pYDggP2wbAHBA5gn:1hf8IKid79H/bFI+qkAPJpI2wbAhOgn
TLSH	T194016D809CB4326D14F7D8C949F1D534EFAA6B843FB4241E8D6E135D0982D49773F504

Key	Value
FileName	./usr/share/doc/python-sparse/copyright
FileSize	7221
MD5	085B7563090928F54A9AA31E8D4DD7E1
SHA-1	4B8BFE8B80B92F35B8E85F109FD7E28813A972C1
SHA-256	E9B386BFD19B28F28D8B4840511EB8E46911C94F7775290B018E59A8CCD37C46
SSDEEP	192:9CYrsqrsAN3r3LaGev0pmvXH3ibadiKxxbxhlSOdjrpp0:97rsqrsA1DLPevmmvXH3vdHXhl10
TLSH	T110E1929E6F8857720193CA92379E9588F28D973F76232C053C4C835823A791C97FE1D9

Key	Value
FileName	./usr/share/doc/python-sparse-examples/examples/Examples/spmatrix_test.py
FileSize	3080
MD5	9C96B896A260FB450FACEF7E45E4593C
SHA-1	4D8D7E0D3D9F296DDFC99158649B8B7F6FF0721A
SHA-256	6770F2D4AF4205BFFEA09BFCBAA98842DB543DBD6DD3CBC48857A460FB03977E
SSDEEP	48:EYj7WdWcDXIfrK8zs8r8z7RPvQG9rlY4QRk8N4e1j0wZJHw:Eg7SIfrK8zs8r8z7RPvhc4
TLSH	T1EE51CF43E57D4D3CDA9A4864C9599C135F2FA86A1AF2781D7B3E46C88F030570F38B56

Key	Value
FileName	./usr/share/doc/python-sparse-examples/examples/Examples/ssor_test.py
FileSize	926
MD5	0B7BF41EFF1C3DCCCEECD567E38C3BB2
SHA-1	52FD5BEC181D0BB0E532AAE681B69B05C776FDEC
SHA-256	5D94FDD5B119CE3BD3AFAA88C38A66486E3955946AD1121C52165B7E28D2D405
SSDEEP	24:n9ey7vMQqEAhLpzaiYVdGOjBuxd3BXRKrjfiG2uCK7e:ZMbEILpOirOjBMhRKrj1Je
TLSH	T13B11C0226C2132339757C81DACFA7950EF1818479F2EB161F90E8154BF021745B7DF64

Key	Value
FileName	./usr/share/doc/python-sparse-examples/examples/Examples/poisson_test.py
FileSize	3911
MD5	2F648FD8B7EFCEA7CF3CACE18D334985
SHA-1	78EF4AFC049071EC5E371A1EA75873D29D4DDE17
SHA-256	704DEDDC6AD6C9E3D875E40757A1AE0BD3DA5CA56725B63D17AA5208D91373B2
SSDEEP	96:O5YYyKonyoWyGF3llaG5aqL44aULluaULKEQaqL/:NYyKonyoWyGFOGs64jgl5gKEr6/
TLSH	T1B381EE002C792617C276C8699D86AD95EF21645EDF6FB8003D8D19ADBF4B153473CF42

Key	Value
FileName	./usr/share/doc/python-sparse-examples/spmatrix_manual.pdf.gz
FileSize	136530
MD5	68A6304DB20539F5A71E9AB1E8A08308
SHA-1	80E746D89299366E92F030CFCC1F0F82E5A58982
SHA-256	2441EC2DA0636BB46A1B1356695FB775B6452D6A1BB990E5C6AD0CD3DC65BB5D
SSDEEP	3072:UKgAZ3SqcmJCOBtiawoYw73UNcXGNpi/vAWrxKwp1Z36:UdY4OmSX7vGNMQWrxKwpL6
TLSH	T1B0D31272430543B1007E89DE53897A7A4124F827C41B093E7FE5879AE86FCE9BCB6493

Key	Value
FileName	./usr/share/doc/python-sparse-examples/examples/Examples/tendigit.py
FileSize	900
MD5	04AC2F48E0F9093CF4CDA4CAAC2FC6FD
SHA-1	814ED30C1E6A927B76ACA08D7B20AC7A51FC3511
SHA-256	CA05D94CA25518B7FBC434F90EE2B733FB718037D3A28BCA08F32C5156E21B18
SSDEEP	12:mOZykZPUiTxqE8Kx1fl7e8u7qtpFiP9FDd6RXibFLHT0Ttat4Y7JSXc:mORdhjjfWq8R6RX0TT0ktx1Ss
TLSH	T10311AB51A9002C09DA07447CDCB8A8241F5E2C4FBF6A751879AC5794BF4604F6B10FA5