Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal.cpython-39-s390x-linux-gnu.so |
FileSize | 745048 |
MD5 | 56B1B3743F349828D5881B158FEE03AA |
SHA-1 | 0228DAF82F8B4F37A8C7EAC3D84B955F9A9E30B3 |
SHA-256 | B38D12D6A13B43BF74557F9470411D52009AEDC90BD1CA3AD5A5C3EA1C77C05C |
SSDEEP | 6144:9x984PYQuXvtEBZNLHbQ5pe3LLsi1R0Npfh8WLtrHnZm8GCBlrOPenAD+z0n8l25:9/8oWfPTY8GCBBFAnXVzaYVH |
TLSH | T131F41A423739EB69E8BCB53780FB5DB38123B53526C94D5C6CDCC76438A1B60A835A39 |
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 | 997368 |
MD5 | A965E2086FEF4A47AA905D0DF897A46D |
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-1 |
SHA-1 | 7D53346153E944DBCD516538C548BBA06F9B7C4B |
SHA-256 | B2A45383EC6A2385AF139D3F3C439BBF7FFCAD6F4B86A31ADDF49051FD8FF6FC |