Result for 0D63D7C6881589A6431A05E694EF0F33F9C096EE

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-37m-mips64el-linux-gnuabi64.so
FileSize674096
MD5B249BD1EBC4D4E20B4E86844EF27E361
SHA-10D63D7C6881589A6431A05E694EF0F33F9C096EE
SHA-256210FF9B52A76DE87CC6199570BE3CC896C78D8473BBFE34B012178EDB0B1E8A8
SSDEEP6144:UmIOcNZAwOqqHKNEKGvK5IEcz8Cvas5OXEoKdf6yk:hc/5gz8M5OXEFMy
TLSHT16EE418996F091F63C095CF72083CD0BABA2CBCEA30624852DDAC5877B557CBE19D1D4A
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