Result for 019A7B5678CC16814CEBB8C4F2E8A027B47DCB47

Query result

Key Value
FileName./usr/bin/paltohdf
FileSize320688
MD514BB95A5FC668264C07CC387C2581491
SHA-1019A7B5678CC16814CEBB8C4F2E8A027B47DCB47
SHA-256796EF7490FFE6DDEAE73177B19FF6F50A79DADA54314AC7FB31AA6DF31CAB066
SSDEEP6144:sEvHUhWwMeoA7YGbtMO+WpHGdLcuiINftATZUgQGXPqXzeRsRBsJxwJ3VsdEMcfq:TFGoAc2G18INftATZUyPqtzsgJ3+bcfq
TLSHT16564089E7131D593D0B07973D16766B382BB747A2BC9A65C9BE8DB260CE2304830537B
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5B9450BC8F17D1DBB195C3F743C29A754
PackageArchs390x
PackageDescriptionHDF is a general purpose library and file format for storing scientific data. HDF can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF files according to your needs.
PackageMaintainerFedora Project
PackageNamehdf
PackageRelease2.fc23
PackageVersion4.2.11
SHA-10FBA2A981D120344A1688250521733844AD0D0B0
SHA-25677E580FA6B646C3D746AD0CFD74BF2054944CC703A064FF1FBBD01A413D0721F