| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_gdalconst.cpython-35m-mipsel-linux-gnu.so |
| FileSize | 27672 |
| MD5 | 29E605560DA92C77BFEE26552FB96B59 |
| SHA-1 | 05D0BD0C17FC95037B0CB930F23524DB0CC77630 |
| SHA-256 | EB104F3CD5443E152ABF346114B4AEBA05B4782938BBCC215E73CBB23FCE2AC1 |
| SSDEEP | 768:Oo4QbKqynfgjPuF05lwctZ3E+b+xjfISDe0JuZeen9/hXdf5LaUDqlcXbnfjHfsy:OrgKqynfgjPuF05lwctZ3E+b+xjfISD+ |
| TLSH | T113C272FB6FB27D26CAD0DC7C4159832684DE8E3BA1C9B39364184A6C2F0B684DD33564 |
| 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 |
|---|---|
| FileSize | 442410 |
| MD5 | 1701B8CD3CFF5CB2F2E288952399499D |
| 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 | 903FE00A140B78FADDF2E836452AA8B20A32D09F |
| SHA-256 | 831D79B05E602DA47E5A5EDA7AC99BECD6BAD112656B3723A6EDEEDEB368BA96 |