Result for 2D1C4C2C9ED84FAEA64089275726DDD57A61FC2F

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_gdalconst.cpython-34m-i386-linux-gnu.so
FileSize22620
MD5E5B9A4696A68FE83008CB70698A9D9C4
SHA-12D1C4C2C9ED84FAEA64089275726DDD57A61FC2F
SHA-256B97FA876145CDEEB50B212894E9784A7CB2766AB3917A4F497E1E83D2CA4233F
SSDEEP384:1OyIizwNggTjNlkZMUotJRZ9f0WZ+8pWTk30DWAtKN0fPCh:1lzUfTRlk1oxGLQ8QNs
TLSHT137A2D846FD43F7F0C12316788C4B511FAE7091028D7AF65BFA0F6A786932B4C9A1425B
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
FileSize213136
MD59EAF5C333E7B74B50A4B6AD2ED3BD049
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 and a set of additional command line tools.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion1.10.1+dfsg-5ubuntu1
SHA-12F1290B1CA0EAFE5AFD61D7779502275575FA895
SHA-2563A6E84BE32C2019C3D8EBD53228D672A5600EEF0EB85C8E6344EB99CAC9367E8