Result for 8409937190E09267CB513148C5226E89FA8175E8

Query result

Key Value
FileSize96182
MD55C55811541C5DFE532362E77104DE170
PackageDescriptionSparse linear algebra extension for Python This provides 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 and robustness.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-sparse
PackageSectionpython
PackageVersion1.1-1.3build1
SHA-18409937190E09267CB513148C5226E89FA8175E8
SHA-2563E807C147F96B7F27064FA00D54501E1E0AB4E42F4D7CCC8F2DF881A6D462E4F
hashlookup:children-total39
hashlookup:trust50

Network graph view

Children (Total: 39)

The searched file hash includes 39 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python2.7/dist-packages/pysparse/superlu.so
FileSize16832
MD59E4A5483B9DEF86C132DDEFDF935C00F
SHA-10A8209B77E6E4E57A0FA8C51988DE80FBEEF797E
SHA-2569F1ACE5181E78EC6F9AA33E5124D4FEBE3E5CA47545461A4424E3C004F6AA349
SSDEEP192:RHLs8p5unwjhmNKEPGi9cTCrqzuDjr2IKiuzAe+TtckFKR3WXRmOBeaL92Gdi:IwjhmPGi9cTjzhIKiuzAtckF9TeaAG
TLSHT1C572FA4F36508A7FC8D9C37848974A70BB70A0889A665377360C55F93F81790AF2F9AD
Key Value
FileName./usr/include/python2.7/pysparse/qmrs.h
FileSize292
MD5E4298D4F555C2EC1ABC32E1A1E7D5004
SHA-118816B97DCF83D67CDBE5D374F4D2550B0B8A3C8
SHA-2563CA79D79AB368EF8F24745A31E51085CD3DBD9149B95BCDAF2AC0BDD24B13D9B
SSDEEP6:N0OqfRAgEh5AMULjcWIRF9VHjdLXIPSLrly09EJGmlG4sj61XA4O:NkfRAgEXAMUncNRFxK3eEJGB466C4O
TLSHT162E0C20F8B4CBAA72825D0D091CE0894E6AF8233894AB4ADE354F6C5830305530728B6
Key Value
FileName./usr/include/python2.7/pysparse/blas.h
FileSize24588
MD549F1C08BA5F0F6DD48893FCB6116CB78
SHA-11FD1179A6A42C0395EB116DAF6526DF7BA66E87B
SHA-256911D331E788E9C039BC4EBDD040565871015D31BBFCF272F50693FD4C61D1FF5
SSDEEP768:3l0ljBl7ltBrBlvBCBvlBYBlZBlQBvlBalBdBlBNdBlhlNk2BBvBW0BlXp/B87lb:3l0ljBl7ltBrBlvBCBvlBYBlZBlQBvlP
TLSHT114B2B55C0AA15446EB5E3EE846CAC186D001525348DE6ACA7C3DCA71AF8FFC812BDD97
Key Value
FileName./usr/include/python2.7/pysparse/sss_mat.h
FileSize534
MD531AB02D781928B2C7D27EA48F3839217
SHA-12157E4B64360F6D418BE2186F5E61269FC6CE535
SHA-25655F8F26AA1D088106857F3BD70DECE346EC6247F237812DEFCC988EC233CEBE5
SSDEEP12:9qntAMUsJoxQvjUqT2c32RD6PvOFeJKFc+y5LAUzN70aU3vL:9qnt7bGxhAZ32RDkzJOy5LAUiaU3z
TLSHT127F02B39BE659D7E15858F95F001E215C46B463CA1E4FCD0974E68A43F6343123BA10F
Key Value
FileName./usr/lib/python2.7/dist-packages/pysparse/jdsym.so
FileSize37440
MD509455D432002AE10DCA19B41A4BFDF56
SHA-12627450D1AF05C8748985EB982C855F90611E043
SHA-2569E3AA57F2755D588CC53B2E997CE2D55C6945DDFA4649C129A8A9AB6D8517899
SSDEEP768:5GdEV42UomXlcOSfIsxh8TIcd5yWB+afN7PfeJ7:kCRUXlhSfSIFWB5N7Pw
TLSHT176F22C4BFAA1C1F9C8C9C7B8D5AFE213AA70BC49963853966FC485343F61724571E708
Key Value
FileName./usr/include/python2.7/pysparse/mmio.h
FileSize4190
MD599B0D3E560F0F7683EAA61AD1AE50D12
SHA-12679E15FC5FB1DB86A2F5D6C4BEA224EFF2CD134
SHA-256231F7B39611DC5822CDDF7DCFB6349B64C11DAE123ADBA67B52899C97218F9B1
SSDEEP48:bFf7DYI9gxvDlegdFINhKU0hrleUcqEqKK0DHSnGMm8QeTULXQXhEqGUOkeEerp:pfwD9f1Eqp2SGMLboeerp
TLSHT1DC810FA148956D222AB36B25529D14C0153DF833D99610EC387A7BFC5F2E0790CF3B9C
Key Value
FileName./usr/include/python2.7/pysparse/spmatrix.h
FileSize2297
MD534BF67EF9C5E87626950E4085A1EF734
SHA-12E1BBE148CB5C1ACD2683BF473CC58A5C01E4576
SHA-2564C238DF752843A8B4AFF78C9C074CDF34F67FFA9C47953037B299EFEC364C47F
SSDEEP48:QRePWL2ILWsRtMZKxcZNrQc0MNMQcXRt8ZKxcPBQc0PNYQchWyR3NQKQcew:vsVcZN0c0MNBctcPqc0PN9cvNQ/cew
TLSHT1C541EC0E3DB9373602D440248E95CA0DAB35A65723BD0EA0705CF8E2BF74A516A35F7D
Key Value
FileName./usr/lib/python2.7/dist-packages/pysparse/poisson_vec.py
FileSize2613
MD50D269E8CC5FDD19D5F07B8BFF4D16762
SHA-148720D118E7665775F3BB3C39781D559F5FB5556
SHA-256F6EFD68B87B0453F3184DC798C0DDD5C8E6A720E0912BAB55895B3BF05F859DB
SSDEEP48:pc2M/hqEz2M/hZTb2M/AmeEeRTNiZa6Ez27RTj2M/Am0Sba2M///eMs:pc2khzz2khZTb2kITN8a3STj2kBba2kU
TLSHT1E65123278D3724B94B838895F8818BE33BA4157789447CE4FD6DA8D85F4D83A8770793
Key Value
FileName./usr/share/doc/python-sparse/copyright
FileSize7221
MD5085B7563090928F54A9AA31E8D4DD7E1
SHA-14B8BFE8B80B92F35B8E85F109FD7E28813A972C1
SHA-256E9B386BFD19B28F28D8B4840511EB8E46911C94F7775290B018E59A8CCD37C46
SSDEEP192:9CYrsqrsAN3r3LaGev0pmvXH3ibadiKxxbxhlSOdjrpp0:97rsqrsA1DLPevmmvXH3vdHXhl10
TLSHT110E1929E6F8857720193CA92379E9588F28D973F76232C053C4C835823A791C97FE1D9
Key Value
FileName./usr/lib/python2.7/dist-packages/pysparse/directSolver.py
FileSize429
MD5557057F2E1B692D95C3918200D3F076A
SHA-15451CA30E67ED4F367D698DFF17A26CBA09EECE4
SHA-2565A85A1BBA8C86CF4B4F9A2C38F512197864267DC220752EEFDB25BA51872D6F3
SSDEEP6:cJEwKX4I7lqsUbJWznCqPTTnPR2N76de/E6dG1asYQ9H6k1AQiuCRufmQyneAJNn:8VCUskJ+PMFUenGcsvZ1AQiu++mfnu6
TLSHT149E0A343F6F57CB18016C8204510B42123381883774D18ED78FC53293F2291282B17C8