Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/_osr.cpython-39-i386-linux-gnu.so |
FileSize | 309228 |
MD5 | 1B44741BAFF2038847AF66FB32E4C895 |
SHA-1 | 159CDED4E25D35F3EFCAE48C6BA55F0BA9F9F1AC |
SHA-256 | 37F2B52361532E21FFF493F5AD5EDA27C9D4D074DD233E6CAAEC2C7D13B330C5 |
SSDEEP | 6144:U291mvxjP67ZJ9scoqKJKwTkKoBNEvlaTHSALWJm24eRTL1P/jOjAymaQYTT5vGV:UvvxjP67ZJ9scoqKJKwTkKoBNEvlaTHg |
TLSH | T12064C82992869CF3F3F701BD029F3B5768118A1166EFF46799D972133532CE12E1A272 |
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 | 868660 |
MD5 | 7B20C487D90AC1CC4305F333D84302CB |
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 | 3.2.2+dfsg-2 |
SHA-1 | C1B3462F4EB0E44FAE9E755ACA31BEDEA8704AE6 |
SHA-256 | A36E542E050F84DDF714E162A773E87CDB7F01CB55B9C232A4364AD1B7BC9CBC |