Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-34m-arm-linux-gnueabi.so |
FileSize | 27148 |
MD5 | D9BB4BA5E93C28D640587ED86B8440D6 |
SHA-1 | 1CB003F751FE25575604C5F6CD92B5CB16C8CFC8 |
SHA-256 | CEEF4C5BDB277394503C841CDDC08E2F56C9DB329173A8169F030C7D9C0F86BE |
SSDEEP | 768:EGnqPjqBsPTP+85Z1R6Gi6IvuDCljJW/E1Dn/z8sH:EGqPjq+LbvXYljJW/E1Lz8sH |
TLSH | T173C2F990B9C2DBB3C8C81279B7979B1173538AAC41D71B02853C01656B6F9BF4E3AE0D |
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 | 322940 |
MD5 | 53A9061F936101ABEB6462C3F66DBF31 |
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 and a set of additional command line tools. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 1.10.1+dfsg-8+b3 |
SHA-1 | 03225275B2F4B6350EAEC2B6E730EE04F2271844 |
SHA-256 | F0CC568AEADB80EAE0266944D15185289116C0371BB67C28F1EAE5EC192448B4 |