Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/osgeo/_gnm.aarch64-linux-gnu.so |
FileSize | 84200 |
MD5 | FAD0AC57C09551599904E686F0B1744B |
SHA-1 | 070708012D0629943560AE8DC516B49E893CF80B |
SHA-256 | 9EE893F30B3765F397F1B881ACAB424E244FC60ACB7B311F5BAA31F9C1A8501F |
SSDEEP | 768:sl+qyC5h4TCvdHUZfC/HzIE286eVM3Ry3+DvRKBt1kSt62DciJP:s+nJsdHCfcu86eVM3RyulKt1w2lJ |
TLSH | T15683296EFA0C9433DA89473C8ADAA612B633900CE39391F73115477E75D79C246BA8DC |
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 | 787436 |
MD5 | 95291E9BB10C40CC0FF8E43CC311A9CE |
PackageDescription | Python 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 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 | python-gdal |
PackageSection | python |
PackageVersion | 2.4.0+dfsg-1+b1 |
SHA-1 | 226DF7C2AEDAF07500D501B24E96076C7FE4D2B2 |
SHA-256 | E939000AC2F74A26F7B8443BEBB0A94247D69E5A9895AB5AEB13064A3CFAB4DF |