Result for 196E82318742650FC9B2DC010131C76C7232F138

Query result

Key Value
FileSize91410
MD5B7F53C363A7B73CBA20E78DE6B9DA5AB
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.
PackageMaintainerAdam C. Powell, IV <hazelsct@debian.org>
PackageNamepython-sparse
PackageSectionpython
PackageVersion1.1-1.3
SHA-1196E82318742650FC9B2DC010131C76C7232F138
SHA-2567EB5148ABAFBBAB3943979CB787CEE5F32E1FB01732031BAF0932AF69B9BC3C4
hashlookup:children-total40
hashlookup:trust50

Network graph view

Children (Total: 40)

The searched file hash includes 40 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python2.7/dist-packages/pysparse/umfpack.so
FileSize16440
MD59CDD63D1F2E9A457BB7DF26A0A905EDF
SHA-101B8B3F0B1101D518BD33B397C0E4CE6467C8C20
SHA-25694FF51EBD654AA6EFCE62420D347B40041D826AF838D2BDA58B86B12D45A1C2F
SSDEEP192:dx8pKYUu2JoGgTYqz6OIXmkEzQXbbBO6i4RHWV3+eNRGXSTA+1y:7YUu2uGiz63Xmr2s6u5bTZy
TLSHT132722A91B645AD33C9C1C27DD063CE067718808D6AE6CA1BB90D01362FDF1ADDD7AE58
Key Value
FileName./usr/lib/python2.7/dist-packages/pysparse/superlu.so
FileSize11620
MD5E692619BE03DE90A4C8A19270E6EAE8C
SHA-10ACABDAA86F83466BCEB4D4919EB0A3F3A506822
SHA-2567C808E198CDC509524913C4B6142F5F47756AA37DD808C3817317057DB471CC5
SSDEEP192:tMx0nkf8p5XLSRmJ4hV3S2oRum10RHWw7KBeaL9HSHS2:o0rORm2hV3S2ot1zwIeax
TLSHT10D32C7966A82EC33C5E786F90497CF00B320C4854F9A9B66721C01B1FF9726AC57EE5D
Key Value
FileName./usr/lib/python2.7/dist-packages/pysparse/spmatrix.so
FileSize52288
MD52B03A37C048ADE66942DC5654227E81F
SHA-110245E944C091157D06C43D891A5B051A0ABF2CD
SHA-25635276D9EF5F2FB229305095DB64B3712E834BD79CDF8CAB2DECC82290365E211
SSDEEP1536:kNLBKglaL1JhPWtwVjEYpRcLF7cmkAvr/G+a2:6LBKky1JhRV7saxAvr+n
TLSHT18F337D99FFD32573CA96097DF4A69F038B01D04D6293CB9260A8543D2ECC858DE79F68
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/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