Result for 159CDED4E25D35F3EFCAE48C6BA55F0BA9F9F1AC

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_osr.cpython-39-i386-linux-gnu.so
FileSize309228
MD51B44741BAFF2038847AF66FB32E4C895
SHA-1159CDED4E25D35F3EFCAE48C6BA55F0BA9F9F1AC
SHA-25637F2B52361532E21FFF493F5AD5EDA27C9D4D074DD233E6CAAEC2C7D13B330C5
SSDEEP6144:U291mvxjP67ZJ9scoqKJKwTkKoBNEvlaTHSALWJm24eRTL1P/jOjAymaQYTT5vGV:UvvxjP67ZJ9scoqKJKwTkKoBNEvlaTHg
TLSHT12064C82992869CF3F3F701BD029F3B5768118A1166EFF46799D972133532CE12E1A272
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
FileSize868660
MD57B20C487D90AC1CC4305F333D84302CB
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 the GDAL/OGR library.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion3.2.2+dfsg-2
SHA-1C1B3462F4EB0E44FAE9E755ACA31BEDEA8704AE6
SHA-256A36E542E050F84DDF714E162A773E87CDB7F01CB55B9C232A4364AD1B7BC9CBC