Result for 06D6FD02D23DFA6478997D59F7B0CCA6EC6D6B75

Query result

Key Value
FileName./usr/bin/hdftopal
FileSize407112
MD5A773FF89A48322DAB4735C1D914A756B
SHA-106D6FD02D23DFA6478997D59F7B0CCA6EC6D6B75
SHA-256B216BAAC42A781B89B5838DA484D6DACA70765916ABB5CC74E0195AC280BEFE3
SSDEEP6144:I29cxSuFhAkc5iMgxXo2tDw1m6vSvuvtaqK7obnlmRBaSWcHK++0E2PjLf:I+gNuvwsblEBFhHh
TLSHT1BB84E8B5FF554417D6940AB0A22B6DF0F36E3811A9B0640E3746560B29F2A927C6FFC3
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