Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/_gnm.cpython-39-mipsel-linux-gnu.so |
FileSize | 84924 |
MD5 | C6641BD47B87DFA3497A84411CC12EC2 |
SHA-1 | 00DB92502DFEF6C935A79352DA3293A003871156 |
SHA-256 | E0CC3D9A9BB18559F95302474B6B8AB5490634F904692575D3C477F515A76DA1 |
SSDEEP | 1536:MrEYOJxDFOG0riNkblvRFWRWYRzsa7stBs0aBBRuxsVkmpAD2FpADsUpAD0NsVvY:M4PJx5OG0riNkbl5FWRWYRzsa7stBs0a |
TLSH | T16683D7466F404FE3C4D7CC350A7DE34141EEAC4F619D7AAB39288F6C39829A99CDB548 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
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FileSize | 795172 |
MD5 | 5622F19399401C7796C0F4F689ACB45F |
PackageDescription | Python 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. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 3.2.2+dfsg-2 |
SHA-1 | 49BFFEFA54BBB4D269D83BF63D3E346C935DC140 |
SHA-256 | E4E8C6739292CC66CA6A14E69CF3DCED4265BF953DC7A1E9B8F1C1DB618CDFBD |