Result for 0E900DD8A2492B0890B03787F457715A36CC14AC

Query result

Key Value
FileName./usr/bin/hdftopal
FileSize330148
MD5929342557A4C5E45DE4D2984DBE86CB5
SHA-10E900DD8A2492B0890B03787F457715A36CC14AC
SHA-2561038712D14FF23E33CBC81BAAACAB6D6460A4763E96F58A5F356D58EDE7A55DD
SSDEEP3072:XrC8m3tKDb/t9FQA2uVklBYN+CYOw87FSef5/krX/KuJvSM4p5hT3HpOOqRy0EjM:Xk3YauVkMThFSG/wUpPFODMpHSBB/V5
TLSHT17A641C553E2B0247D2917FF0227F13EAAB2A785211B4A4553356A31B27F2FF2601BBC5
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
MD5A2625D59DF66E07DD1B29F2C2F67C8D8
PackageArchppc
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
PackageRelease2.fc17
PackageVersion4.2.7
SHA-19B89C7CC85B575460BB4CADD22ABC026E627DED0
SHA-25605C2591E39CF69FB227DEF06302F876E25988CA6AA6A783B2A23E4729F4E6DE6