Result for 08492C9F364CD8188E34DE2B71CF0F7F3032374D

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-39-mipsel-linux-gnu.so
FileSize85484
MD5D976FBC5BE77FB25567728079D52574B
SHA-108492C9F364CD8188E34DE2B71CF0F7F3032374D
SHA-256ADC06D63988109C1DFB0805B07BC6032E96A0CEB7940D155E94E2A1A9107F8E0
SSDEEP1536:G4Tb7VHLN/w/aFKqlNN6iLiDxZJrY4EU6BIyIZ547Pu5nXBH90ne10jjBYGAqTYJ:ZvhZwSY+NAiLiDxzrY4EU6BIyIr47Puh
TLSHT1FF83D8027B445FA3C4D7CC350D6EC30210BE5C8E729D7A13786D8AA93A1769EADE758C
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
FileSize808064
MD54585E65019A42EDB021BDAF6C774768F
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
PackageVersion3.4.0+dfsg-1~exp1
SHA-1699A590B003462BD413B6F92B96C30954BA7DA1C
SHA-2569CCD8CFF4C040B0038624C8B9ED72F887490506CF89E7F1C14F6EB14AA2D76FB