Result for 071AA055703EFF8E660D70C5C2EF40F10E908754

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_osr.cpython-35m-arm-linux-gnueabihf.so
FileSize160620
MD53F2CF1EEE36BED626DEACE2C8179DAFA
SHA-1071AA055703EFF8E660D70C5C2EF40F10E908754
SHA-256D1213A07866C559AB19C93F60455B44EB1CE654AAE4688943F8876D19CADE10A
SSDEEP3072:RRNVpafUX8barsz0a920z49lsfCNTutdmW+dIHWfAyvczVnCd6gbQmM41/yCa6F4:DwfUXQarszV920z49lkCNTutdmW+dIHe
TLSHT113F3B56B29C65DC2D6EB413C51DB2B0B6803A0B27EFED8AF99D100761A43DF4065F936
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
FileSize456184
MD5E9D7E568F50EEF4CE0B494E5854799A7
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-14B7F44264EE6B656C1971E6712DA27A59C99387E
SHA-2569D98ECC98AEDC2F2D2B571B76BB7EF1BB704676CF6E841C3BC8B1A5B7D4BFA25