Result for 0C7FFFEA5248B69E2BF18D58E909F65D322B18D9

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_gnm.cpython-37m-arm-linux-gnueabi.so
FileSize69044
MD5DF5C517CA2784C17FDA81FE10BEFF2BB
SHA-10C7FFFEA5248B69E2BF18D58E909F65D322B18D9
SHA-256183E9CC580F649E94E25EE82846CDF1BF4078B434DAE5A2CB60EF39800CB9D2C
SSDEEP768:CgW3LZzJOuH0hPDLf5hFeLdzXNHRtkDoq6FGDE3PH8g/y9qEPnNsRnloelOVAAcr:YVxUhPnBhwLMZs3BhBa2Xri93ob
TLSHT17B630945A68097F3C0E4233AB359BB0137224666D3EF334B5614A7743B82F6A4D2ED5E
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
FileSize535952
MD5F4C4E40B5E6ADFE50458757EFBB9E502
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-14F6561855B8ED87D24F57069C62D84E7E8585E05
SHA-256C66D2461C73AB56208F95C60F579FCA01DE92CB09851586B397424D97236FFB9