Result for 135D38ED2382EC0B89A8E50D05AC9DEDEA1F43A4

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/h5z.cpython-34m-x86_64-linux-gnu.so
FileSize30272
MD5F1C2E12AEEA8533ED7F9C113A2A3F6AA
SHA-1135D38ED2382EC0B89A8E50D05AC9DEDEA1F43A4
SHA-256F13E3A7D5833CEB4E2FDBA8F0E475D113E0C253DB6C61F0B9EF0982619E7B2E4
SSDEEP384:XSAk0/kHFdQIyw5lhKXnTRJii5k3erar1CCHXY0NaqiU9Tc3I02n:CV0/SHYklhKVJii5s1CCt+mc352n
TLSHT1C5D2E77EFE35087DE17907388893C5322AF0B6049730D39BA68468B11F127665F2EE99
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
FileSize501922
MD553AD53ABD8C4A47F1904546BA94B11F4
PackageDescriptionh5py is a general-purpose Python interface to hdf5 HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name.
PackageMaintainerSoeren Sonnenburg <sonne@debian.org>
PackageNamepython3-h5py
PackageSectionpython
PackageVersion2.2.1-1.1+b1
SHA-13D7D0D4E8C38A2C49C2CCCD0789CD37139B6ADF6
SHA-25690A4F1E5A385F80A2BA43333120D93EB68E0B3BC59C904ACCE6139148259540A