Result for 0FF985A70EE348AF200BCDDC95EE07A75DF39CF6

Query result

Key Value
FileName./usr/bin/r8tohdf
FileSize407400
MD54088410B5F91EA3E7BE7A42954A25F0E
SHA-10FF985A70EE348AF200BCDDC95EE07A75DF39CF6
SHA-25659186BA784E72E0636B3A1DA8CB3B332B1EFE421E4CEBC13B7638D981E6C6BD5
SSDEEP6144:d+4ZUW7ccUNEkwuG97QCBbDR9VTVs4o0xdQl6pQjYRMtybPSH9v9XNE49kotZc:dN3znpQuMEbPSH1+
TLSHT1AE840A60FF55545BC2D40BF0A23B6DF0F37E38629AB061193B46560B1BB1E522C6FE86
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
MD5766BBEAB9BA275337F29522D64EC7970
PackageArchppc64
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.
PackageMaintainerKoji
PackageNamehdf
PackageRelease3.fc18
PackageVersion4.2.7
SHA-1BA87A29F807C04CC692CF4F088A992A01B0E6AF3
SHA-25631E4962931A0651CEAB835D8A766A5AA0CB2C8B08C5B11F7D462C53FAFD3F521