Result for 00DB92502DFEF6C935A79352DA3293A003871156

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_gnm.cpython-39-mipsel-linux-gnu.so
FileSize84924
MD5C6641BD47B87DFA3497A84411CC12EC2
SHA-100DB92502DFEF6C935A79352DA3293A003871156
SHA-256E0CC3D9A9BB18559F95302474B6B8AB5490634F904692575D3C477F515A76DA1
SSDEEP1536:MrEYOJxDFOG0riNkblvRFWRWYRzsa7stBs0aBBRuxsVkmpAD2FpADsUpAD0NsVvY:M4PJx5OG0riNkbl5FWRWYRzsa7stBs0a
TLSHT16683D7466F404FE3C4D7CC350A7DE34141EEAC4F619D7AAB39288F6C39829A99CDB548
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
FileSize795172
MD55622F19399401C7796C0F4F689ACB45F
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
PackageVersion3.2.2+dfsg-2
SHA-149BFFEFA54BBB4D269D83BF63D3E346C935DC140
SHA-256E4E8C6739292CC66CA6A14E69CF3DCED4265BF953DC7A1E9B8F1C1DB618CDFBD