Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/osr.py |
FileSize | 48976 |
MD5 | 82627401F228E3A445654BBB08570A9A |
SHA-1 | 22185D9C7371F8068E8332DE00B3811F5A7F3A2C |
SHA-256 | 5330930B8FA910EADECFB6B0CDAA42824A2CE590FDEA08ABCB9A34C01CA3EA7D |
SSDEEP | 768:25nwn30ugGkD4r50X5KzJN1cf9AIShAujLqC0tiK2RzGV+JS8KJFfKnNYNOnMlJr:Qwn30ugGkDdhbtOsr6Dk3 |
TLSH | T19923042C88796CE6C22689A454937B46FD5D15F32CACD0B4BC6CB0623B20DA5578FDF2 |
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 |