Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gdalconst.cpython-34m-i386-linux-gnu.so |
FileSize | 22620 |
MD5 | E5B9A4696A68FE83008CB70698A9D9C4 |
SHA-1 | 2D1C4C2C9ED84FAEA64089275726DDD57A61FC2F |
SHA-256 | B97FA876145CDEEB50B212894E9784A7CB2766AB3917A4F497E1E83D2CA4233F |
SSDEEP | 384:1OyIizwNggTjNlkZMUotJRZ9f0WZ+8pWTk30DWAtKN0fPCh:1lzUfTRlk1oxGLQ8QNs |
TLSH | T137A2D846FD43F7F0C12316788C4B511FAE7091028D7AF65BFA0F6A786932B4C9A1425B |
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 |