Result for 070708012D0629943560AE8DC516B49E893CF80B

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/osgeo/_gnm.aarch64-linux-gnu.so
FileSize84200
MD5FAD0AC57C09551599904E686F0B1744B
SHA-1070708012D0629943560AE8DC516B49E893CF80B
SHA-2569EE893F30B3765F397F1B881ACAB424E244FC60ACB7B311F5BAA31F9C1A8501F
SSDEEP768:sl+qyC5h4TCvdHUZfC/HzIE286eVM3Ry3+DvRKBt1kSt62DciJP:s+nJsdHCfcu86eVM3RyulKt1w2lJ
TLSHT15683296EFA0C9433DA89473C8ADAA612B633900CE39391F73115477E75D79C246BA8DC
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
FileSize787436
MD595291E9BB10C40CC0FF8E43CC311A9CE
PackageDescriptionPython 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 bindings for GDAL/OGR library and a set of additional command line tools.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython-gdal
PackageSectionpython
PackageVersion2.4.0+dfsg-1+b1
SHA-1226DF7C2AEDAF07500D501B24E96076C7FE4D2B2
SHA-256E939000AC2F74A26F7B8443BEBB0A94247D69E5A9895AB5AEB13064A3CFAB4DF