Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-35m-arm-linux-gnueabi.so |
FileSize | 505176 |
MD5 | 0DA4F8E68B37890C02AEE1D396C00E2C |
SHA-1 | 426E024597C13912892121AD4FDC820BA3C265FC |
SHA-256 | 77DB7173B43AF11AD8729466708C9714FF48A66D5C137919181D8CAB6C79AC34 |
SSDEEP | 3072:zz3bZrPtI3AhU4645X7uIrQgH0+RaMxtDiKpudIBlnx/cn0oOVgJDsG/7hJfjZ2:1G3i645X6c0+RaMxhkdIB/m0r0fjZ |
TLSH | T1B2B42C18E48057BAC1E5733576BEA351FB03F678A2E62841C97072373B53C7A466EA4C |
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 |
---|---|
FileSize | 445512 |
MD5 | 107C8749E23E289044ABCC776B98C9B5 |
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. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 2.1.2+dfsg-5 |
SHA-1 | 1569D312FB7E7F1D1BE509A79614043C02CFD336 |
SHA-256 | C03233B4BFDBB6C326F4DBCDDE7983C5CFF825D91B46428C2BF5665471F9DD5F |