Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-39-mipsel-linux-gnu.so |
FileSize | 85484 |
MD5 | D976FBC5BE77FB25567728079D52574B |
SHA-1 | 08492C9F364CD8188E34DE2B71CF0F7F3032374D |
SHA-256 | ADC06D63988109C1DFB0805B07BC6032E96A0CEB7940D155E94E2A1A9107F8E0 |
SSDEEP | 1536:G4Tb7VHLN/w/aFKqlNN6iLiDxZJrY4EU6BIyIZ547Pu5nXBH90ne10jjBYGAqTYJ:ZvhZwSY+NAiLiDxzrY4EU6BIyIr47Puh |
TLSH | T1FF83D8027B445FA3C4D7CC350D6EC30210BE5C8E729D7A13786D8AA93A1769EADE758C |
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 | 808064 |
MD5 | 4585E65019A42EDB021BDAF6C774768F |
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 the GDAL/OGR library. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 3.4.0+dfsg-1~exp1 |
SHA-1 | 699A590B003462BD413B6F92B96C30954BA7DA1C |
SHA-256 | 9CCD8CFF4C040B0038624C8B9ED72F887490506CF89E7F1C14F6EB14AA2D76FB |