Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-35m-i386-linux-gnu.so |
FileSize | 549716 |
MD5 | 2E711899A374407A5E0B725937F6270B |
SHA-1 | 72BA54B579A74555FBA8492343107F209E8CBAC4 |
SHA-256 | F24A32C42AB37612B71362BE78303E49350F9C7385CC70D5341F8D0972D8DBD8 |
SSDEEP | 6144:9wIyOqMZiP7hn7ZxqS+UIZffLcYNRTlM6Wgz:Wc2YPW6Vz |
TLSH | T164C43C456783AEB0E2B793B403BF35AABE10E51892E7F4D1D564B1733462432761FBA0 |
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 |