Result for 030A654AA6501EE040FBB238BAC9073B92A07AD9

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-39-i386-linux-gnu.so
FileSize77260
MD51FC0F77B45747B4AFD825939E25453BD
SHA-1030A654AA6501EE040FBB238BAC9073B92A07AD9
SHA-2565369A86A7C55AA2137DF65AA3F430C84FCE7453FC942FAA7E096487FA52CD4E0
SSDEEP1536:MhS7fLT8tXWukoeNYfyITWyR+ciL1+3icZ3ljKfEA7LuP4JhG3xjMWPFqruz4RhY:wsE1WukkDayR6h+f3ljKfEA7LuP4JhGb
TLSHT128734B06B741C9B3FAA344FD56CBC71396119A205093E7E2FA0C3BA93C311956D367BA
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
FileSize885796
MD575BBF36D9503BCB30F45A28606BC9C48
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-14D301BC9EE508AB4BAA617B6BB489D03E6D5354F
SHA-2568383A097F6252F555BD7DF14CBB30C8FEAAA39881CC86ED7AC9E5E03DA6624D2