Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gdalconst.cpython-34m-i386-linux-gnu.so |
FileSize | 22576 |
MD5 | EFB138C1B1A7564B87EA6B65FBB116A4 |
SHA-1 | 36ACA77102CD264F7FCE029A23886C377240A48C |
SHA-256 | A67351B23730F8E3312A9F87A7DBDF0A904092F1DAADF915BA4822281CE0E9A8 |
SSDEEP | 384:WOyIyVyFggTjNlnyJaSxDUhW5BepBeMySH+i0fPCwCDJwaA8ohm3:WDcFfTRlKG5pBessxB8oU |
TLSH | T136A2B556FD87EBB2E25305388C87812E6E7051021DB7F157FA0F379A6D32A4C8E1165B |
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 | 350288 |
MD5 | BCC1F0E7F3FA487DBE0FF43F19D1D76C |
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 | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 1.10.1+dfsg-8+b3 |
SHA-1 | 1CD76E2A30E6AC413AD1B7B0D639FBDBB2C5107C |
SHA-256 | 54167D31950F2661D4C4B856D38583CCB506056B3ACBE0954954FE8E48B26F3E |