Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_osr.cpython-34m-i386-linux-gnu.so |
FileSize | 189692 |
MD5 | F967495568276CB5C41460759AB69F4B |
SHA-1 | 57D1F0A58A8D55CE12FBF5A0CC07577F22D57F59 |
SHA-256 | 2F09BC1AE05F267BD88476670B5602DFCB7FD58E3D91ED9096AB3737F163DF18 |
SSDEEP | 1536:KeygtXWpbblWB0Ra/YaeQqBiQ5zfnjedLQPgN9U0qPEO1h1nrbHFTadP6a:Byg1WnBBi2L8zW1nrbHFTadP |
TLSH | T1B404D864D08BA8F1E7F7147881EF770F5C2295236EEDDD2298D427272223DF11A16A72 |
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 |
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FileSize | 213136 |
MD5 | 9EAF5C333E7B74B50A4B6AD2ED3BD049 |
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 and a set of additional command line tools. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 1.10.1+dfsg-5ubuntu1 |
SHA-1 | 2F1290B1CA0EAFE5AFD61D7779502275575FA895 |
SHA-256 | 3A6E84BE32C2019C3D8EBD53228D672A5600EEF0EB85C8E6344EB99CAC9367E8 |