Result for 0228DAF82F8B4F37A8C7EAC3D84B955F9A9E30B3

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_gdal.cpython-39-s390x-linux-gnu.so
FileSize745048
MD556B1B3743F349828D5881B158FEE03AA
SHA-10228DAF82F8B4F37A8C7EAC3D84B955F9A9E30B3
SHA-256B38D12D6A13B43BF74557F9470411D52009AEDC90BD1CA3AD5A5C3EA1C77C05C
SSDEEP6144:9x984PYQuXvtEBZNLHbQ5pe3LLsi1R0Npfh8WLtrHnZm8GCBlrOPenAD+z0n8l25:9/8oWfPTY8GCBBFAnXVzaYVH
TLSHT131F41A423739EB69E8BCB53780FB5DB38123B53526C94D5C6CDCC76438A1B60A835A39
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
FileSize997368
MD5A965E2086FEF4A47AA905D0DF897A46D
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 the GDAL/OGR library.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion3.3.2+dfsg-1
SHA-17D53346153E944DBCD516538C548BBA06F9B7C4B
SHA-256B2A45383EC6A2385AF139D3F3C439BBF7FFCAD6F4B86A31ADDF49051FD8FF6FC