Result for 6BB42340FABA408516CB3DB3D2364C5FE397DD4B

Query result

Key Value
FileName./usr/share/doc/python-sparse-examples/spmatrix_manual.pdf
FileSize153430
MD5293D22DAC21899560EE87FECA4D6E3AD
SHA-16BB42340FABA408516CB3DB3D2364C5FE397DD4B
SHA-2567616EBE4A5CF9FD9F0D1E7F347AE85982DB3AF18CE04A7758720EEA6E9E7F009
SSDEEP3072:q54a6X/zToy8HL7rjYh8iXIW/1vUo5Sx+bQiHtO:eyUE/XJdb5zbbtO
TLSHT169E3E125D79A6C9CE582CD064678313A977EB2377AC838912C7C0684D584E98FBF36C7
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize146888
MD5F0461AE78AF7F480513335C5F918006C
PackageDescriptionSparse 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-sparse-examples
PackageSectionpython
PackageVersion1.1-1.3build1
SHA-16D0693302CAABBB976B7223548CF03B335944827
SHA-2561EA03F162A28D4ED10B1CAFFDE185EAF3AC0726BF2284BA2BBF0411A7418B9C8
Key Value
FileSize146952
MD5BE8DECB8C10024ADEAFBDE915E78B382
PackageDescriptionSparse 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-sparse-examples
PackageSectionpython
PackageVersion1.1-1.2build1
SHA-128424E83B1398FA3CB108EC82695366A2F2D8595
SHA-256512DFA84CFE89B79D301347074C00E844FEF235537220672059F0E3DFBF10861
Key Value
FileSize151602
MD5BA8F6E07E4275BED5D2614D88D29BE65
PackageDescriptionSparse 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.
PackageMaintainerAdam C. Powell, IV <hazelsct@debian.org>
PackageNamepython-sparse-examples
PackageSectionpython
PackageVersion1.1-1.3
SHA-152402B6FB6D751101ED097CDDFE4FCBF947F3DE3
SHA-256AF62358059FAB9A622B5B9F85CB4EB41D00F44B1E42C52726F2B9EE3D6D01973