Result for 4DA10B334B89243D25D568A22A01F992F0788E80

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-35m-aarch64-linux-gnu.so
FileSize562880
MD5DBDCD0CE9BB1450C5A32CC6EC0E8394B
SHA-14DA10B334B89243D25D568A22A01F992F0788E80
SHA-25652DB563D2FEC529C9D8CE89110ED1DBA225B5C7A41DCDBA856E3C4F9FD169AC1
SSDEEP3072:xT31lvDblhokbOvfCsdfKfJ1MlunPMCoaivtRmC70Vhvnt0I+CGYtMI/7hpg0AAF:ND/sdCeludJivtQC4vt0rWg0AZw
TLSHT126C43C0CAD4D6A22D686533E46BF9043FF13F4ECB39586617064627B78C38AA52FB744
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
FileSize464292
MD5A25C2B021EDE9B66F0058E409A0BD0D3
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
PackageVersion2.1.2+dfsg-5
SHA-182659A47D29E10E739C89058E7E9FA5BC9F0965F
SHA-2564AD933D3600B4BD609588FF7CA4DCBAD940F78CD894D598A7F1A6CAD27A1DB89