Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-39-arm-linux-gnueabi.so |
FileSize | 73076 |
MD5 | 34C2F57DD47F4E178ADD2322BFA41CD7 |
SHA-1 | 0764D2F69D580E686976B8126A15303EC60F4A08 |
SHA-256 | 99B270435BA0DEB5288E1E333B2B00259CAC29DB28F51AAA8A4ABB5A31B59136 |
SSDEEP | 1536:gPG9WyDe5+ucaKN1qh4A+TcuiEiuPdQSCljKfEQqLOrLuP4JhOLlh3fxvMWGYFqX:79Be0ucaaqWXToXSCljKfEQqLOrLuP4b |
TLSH | T18B63F849B548CB73C8C5667DF3EEA729753346B583DB3A0284289274272367E4B37B09 |
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 | 827536 |
MD5 | 5832E429D80DD9B59E23596485496E32 |
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 | 3.2.2+dfsg-2 |
SHA-1 | C7D23F4EA28C8E68C835BA54713D24B6AABF5F2B |
SHA-256 | AAF2D4D25D9A5B84059F4D1477BAF8EEFDB0C6D4957B7CE6C4B3DE4AF09A1F10 |