Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal.cpython-38-x86_64-linux-gnu.so |
FileSize | 721840 |
MD5 | E7C819E45BA9FEBECF240660B021344B |
SHA-1 | 18719954FCCBE372513A31E51258A09C98F8EA35 |
SHA-256 | 9941A84E15392DC859349ED1C7013F2590F0318CD58739C1E41E5C56ECFBF811 |
SSDEEP | 6144:lYdVWtD5yfj2yImxdpeiNcAqXCQ8goi6zg50g4muG+x0lGW6ybJU50avA2:lYdVSdyr9dp/PehN+x0MBltvA2 |
TLSH | T109E43A16AA925AACC0EAC43485EBC6B23530F0A0D5B56D3F25E4E7321F16E74273F761 |
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 | 576856 |
MD5 | DBBBDD8493EEEA6B4842A1FBE88EE2AA |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 3.1.3+dfsg-1ubuntu2 |
SHA-1 | B73047EDA22A06E4F815523EDF77754DE58305E6 |
SHA-256 | F1A7CE03FD835C5552B3ECAE4F75979775EC45353615174541C4385A2D1DBDCA |