Result for 044F5C9C8B4E9EFB8F57F737795123F11AE79827

Query result

Key Value
FileName./usr/bin/paltohdf
FileSize337888
MD5012D709F64E7E4B0B34AED6305618611
SHA-1044F5C9C8B4E9EFB8F57F737795123F11AE79827
SHA-25616A3C1F059A2B473E6B8C6C9D2AB454D49771AD646654F8AAEED92D1920F0E62
SSDEEP6144:IwgrNEMxpblPTrj9m8vsNHjqDHr3JQWpBK6yF:96PXj9m8vsNuDHr5QWpB
TLSHT13A742B58B9C83ED6D386D172E39DE3303927A8BAD7A981B37C00A74C67C79D5CAE5110
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
MD53C6AF2F4401A7C81DC655741275DC036
PackageArchaarch64
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
PackageRelease7.fc22
PackageVersion4.2.10
SHA-1E79504A8BEFD7EE3570C23D8E11DCD2F7313040D
SHA-2568C6DB6C67CE02DC2D1683A9A1909EA33030DBA0C2FE94ADE197303038EF21AE6