Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_osr.cpython-37m-mips64el-linux-gnuabi64.so |
FileSize | 270960 |
MD5 | C86D9B27450F727FC6FE9C1C534E3D29 |
SHA-1 | 346FE1CD8E28A80163BCBEE4715AD0949EE43815 |
SHA-256 | 7781D5B6695CCC31F487A61D83AA502FC0EB801DB55BD840A2CCE4CD489988F6 |
SSDEEP | 3072:MmA+LcBL1tTtdF1ltl4oqAFO7HUypp+Dqx3TCSQvWKlT0:jcBxr1ltM+DUCSQv |
TLSH | T19D44C87A5B441DC2D5FA8E7645AEA31B342D2CB63EFDC9174DC858292103DFE168382B |
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 | 529704 |
MD5 | 17AD3EF103D32FFB87AA6B636B8907BB |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | A92631E2D0313C3925CF086B7F6DF39DF8A5336B |
SHA-256 | BCF1A7E89DFDBE533AB902D4441C0F4DE205A10952411BE134C5DBB6BFD3436A |