| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-39-mipsel-linux-gnu.so |
| FileSize | 85516 |
| MD5 | 1E27239AB18842E6FA70C1314E33C60D |
| SHA-1 | 0457D14C81912020684977EB3C98264587DBDC4C |
| SHA-256 | 74008BA02AF5D77C92055134AAE9A9E64117816918CE192335D09CED2FABC6E4 |
| SSDEEP | 1536:KL1+L6/A5HQlHX9qFvfA43ljvQr/QB4rlzEtGtCln7rT+h3UT5NCLE4u0vkHtxeE:cMMaHQtNqtfA43ljvQLQB4rlzEtGtClz |
| TLSH | T18683E9037B045FA3C8D7CC34096EC34211BE5D8E72DD7913B86D8BA82A5669E68E758C |
| 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 | 794004 |
| MD5 | 77097C0D2A081E1F28D226B6C6753B64 |
| 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 | 3.3.2+dfsg-2 |
| SHA-1 | 2BAC5773055EF947424372BBBCC37583E7C2C158 |
| SHA-256 | FEC3F5BD5437083FC0BBC914200EED85371AB970DD322F624C4723829414AF4C |