Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_osr.cpython-35m-i386-linux-gnu.so |
FileSize | 225740 |
MD5 | 422CBB60AA68CF36AD22A77278F9F32C |
SHA-1 | 0637CC8D4BDF9A50F8D74F5AF58964F5B04D30D6 |
SHA-256 | 48B03F47DAD8B0367AA8771F60B0A8F72DEC4455E2E0B22D24C346BF2D92E108 |
SSDEEP | 3072:QoQXPyYwRvGlsawjmz+SI+Gvx+rpexejvED3wYo:TRvGldGmz+SI+q+r9vED3w |
TLSH | T16524C5A99387ECF1E7F702FD03DB3B1A580159116ADFF86388D465462463CF62A1B632 |
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 | 475902 |
MD5 | 4801892FC735C5DC26EADF113A04BC18 |
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 GDAL/OGR library. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 2.1.2+dfsg-5 |
SHA-1 | 46143C8E36FD277D55ED3D1F9BB674380D1B3EE6 |
SHA-256 | DA7544AF8E9AA91626D98D91CD020EBE235FBDDE00EABC083547226B1A4DD289 |