Result for 6A250EA4218E3F5A67DE54120476A299FB924417

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_gdalconst.cpython-35m-mips64el-linux-gnuabi64.so
FileSize28936
MD57F616463FD469CBA07744A0F272E13C1
SHA-16A250EA4218E3F5A67DE54120476A299FB924417
SHA-2569CCADAB9BFA763019D85E51E35B29A6EE0A62094EF667EE837B1939D91283A03
SSDEEP384:57E2M+DdAB54pH3RtgFP0rahS0hBubscd:1gYdy4lRtgFPcaYKBq
TLSHT18ED284FA5F44DE2ED1A4CF724C2A8033196C1CBE926A43DB2FA892644A0DDC50F7940F
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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