Result for 244658D81C2C809CC48D057459F3399D087FF026

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-37m-mips-linux-gnu.so
FileSize63680
MD5345C61C1008350BE59EA5EA7A1E9D8CB
SHA-1244658D81C2C809CC48D057459F3399D087FF026
SHA-25636DA119FCCCB27882D0EF26A93A7AB77E007BD55D8928EC8E5B2B626F1CC5E16
SSDEEP1536:4IjLcCKmTGCwq3tsttX3/tz9gsljJKfERLV8rLhKfYNLOSvMPJYFUrNrzM9yEMuz:NjwCKmTGC9tm53HgsljJKfERLV8rLhKI
TLSHT11153FA2B27A28F2EF295C27854B3C7D3237521E128D68942D17CF31A259571E2C2BF99
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
FileSize522520
MD5011F9A3CA747A9F7981916C944580B1D
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-1240D501064B7CDDE815B15B031DA653E4D213051
SHA-256AD253CF21B85D4F6BA1D55C82E2F0EE5E7F55E4BE67869617DC87D90407710A6