| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_gdalconst.cpython-37m-powerpc64le-linux-gnu.so |
| FileSize | 68304 |
| MD5 | C8DB3459D2059948B05997DDB77BEAFC |
| SHA-1 | 1461A90D55B59B9D12022FD17051D50719503B6A |
| SHA-256 | 6380ED7D11396FDAB96F2038758F2DDD1EA39571F33A92080CCBD16653BDD86B |
| SSDEEP | 1536:pyJ4pCElef4JSkVevYJsNmngCTcN2IZSTscyP/Hyu+O+nraB:4J |
| TLSH | T11C63826F369CDB53DB063C38D6BE571362B07C0ACA7097436A00533A8B9A7298F16D75 |
| 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 | 588020 |
| MD5 | E8B766D96412C4EE1E7EE891AC0842D0 |
| 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 | 2.4.0+dfsg-1+b1 |
| SHA-1 | ADF41C494756DCD36AE06D8595857D82DBE891C3 |
| SHA-256 | 082D66FC8261078968958CA1A80CEA3A1C8009B7E927B498F9C5079576D0F4FC |