Result for 346FE1CD8E28A80163BCBEE4715AD0949EE43815

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_osr.cpython-37m-mips64el-linux-gnuabi64.so
FileSize270960
MD5C86D9B27450F727FC6FE9C1C534E3D29
SHA-1346FE1CD8E28A80163BCBEE4715AD0949EE43815
SHA-2567781D5B6695CCC31F487A61D83AA502FC0EB801DB55BD840A2CCE4CD489988F6
SSDEEP3072:MmA+LcBL1tTtdF1ltl4oqAFO7HUypp+Dqx3TCSQvWKlT0:jcBxr1ltM+DUCSQv
TLSHT19D44C87A5B441DC2D5FA8E7645AEA31B342D2CB63EFDC9174DC858292103DFE168382B
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
FileSize529704
MD517AD3EF103D32FFB87AA6B636B8907BB
PackageDescriptionPython 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.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion2.4.0+dfsg-1+b1
SHA-1A92631E2D0313C3925CF086B7F6DF39DF8A5336B
SHA-256BCF1A7E89DFDBE533AB902D4441C0F4DE205A10952411BE134C5DBB6BFD3436A