Result for 4A9E4891926A30F2A9E4562B97F416D543EC44AC

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-35m-s390x-linux-gnu.so
FileSize70864
MD5114C8A7F7122D419A6CCFE1BEB8710CD
SHA-14A9E4891926A30F2A9E4562B97F416D543EC44AC
SHA-25602ADEA56FEBB0050ECD55144328CA1E08099FC4A1D3E5EED4C210FC8A3F09168
SSDEEP1536:8FWEPYRoIDTiTr1BNJv9XW5RGwjygu3ClljJKfERLPNjJKXIVjEvkPfQFUr5z09c:mWEPYqsi/1BNJhGe3ClljJKfERLPNjJt
TLSHT1F663DA8B6B218792C8B87E36D1DE5773933324353AC66D4EA7ECCB2528637344D31626
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
FileSize472570
MD5305780CF50BB1C7A478FF8160A150B95
PackageDescriptionPython 3 bindings to the Geospatial Data Abstraction Library GDAL is a translator library for raster geospatial data formats. As a library, it presents a single abstract data model to the calling application for all supported formats. The related OGR library (which lives within the GDAL source tree) provides a similar capability for simple features vector data. . GDAL supports 40+ popular data formats, including commonly used ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in GIS and remote sensing software packages (ERDAS Imagine, ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote sensing and scientific data distribution formats such as HDF, EOS FAST, NOAA L1B, NetCDF, FITS. . OGR library supports popular vector formats like ESRI Shapefile, TIGER data, S57, MapInfo File, DGN, GML and more. . This package contains Python 3 bindings for GDAL/OGR library.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion2.1.2+dfsg-5
SHA-18697FEA039A5378DE01ECA2BB86B8564C46B991F
SHA-2564B6E6310BCB9FCCE38A471F7B4F790D4292E19F04CBFAEA107717FE4144123EA