Result for 00C15BFFDAA375F4A2A755A09AB4FB1DC1936C11

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-35m-mips64el-linux-gnuabi64.so
FileSize628440
MD5CBA43FFF737BFEA7912ED758B85A876A
SHA-100C15BFFDAA375F4A2A755A09AB4FB1DC1936C11
SHA-2567CB52FB2DB6E811994CE10CF13D4893B724F20E40E5CFDB9D5E6F098A04B8BAC
SSDEEP3072:3DG3V51ibpL9UQYoBlWaYpkVYE60Vhvnt0I+CGYtMI/7hpgdDSerK81+N:p1yElXYp2YEvvt0rWgRSmKR
TLSHT1FBD419456F050F23C185CE7A493DC1A67B3CFCE931A28952F9AC6637745BCBA09D390A
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
FileSize443830
MD52969E1C9AB6B0D85A7C7C9F9BDE9D5C0
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
PackageVersion2.1.2+dfsg-5
SHA-10906AB170309D27BB72CDF615DF4484C18C11C42
SHA-256A319BEDDEFDA4B8BD897F455C2A64F836AF268BE3112095F082624CABF21E241