| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-39-powerpc64le-linux-gnu.so |
| FileSize | 137040 |
| MD5 | F7D7047726F290954C7EACD24586003E |
| SHA-1 | 10E1E3B39A8CDFE1D8F2A2EC8E45AFBC8D5C493B |
| SHA-256 | 598BAEDAE58ABB7D9A0F6FBDDABFC0E4AF026B45ABB747F95683984AF6C22246 |
| SSDEEP | 3072:97e4xDg+pLWZrZ2ylzJKvkBL8rLhuP4JLOFh3m+vcPToFkrlyzc9ycOMu7yWSbQ0:Je4xDg+paZ92FzW |
| TLSH | T184D3F963324C5F97DF04583F82EEAA2132667C4F06659A03B510532F5FAB71ECA2794E |
| 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 | 873328 |
| MD5 | BE4ED6D3E70105CFE215B2FD538C3520 |
| 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 | 9E03E2251566AAAF03882621604FEBB92FAA4BE2 |
| SHA-256 | 2831DB0967FF3B47978175010847DA98A5EC1487A53ED91528DAD44DE67B41CA |