Result for 342A187671B7BA8A42E69105930D3A613865E157

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_gnm.cpython-37m-x86_64-linux-gnu.so
FileSize88216
MD5B42020BBE3FE845422D89A6458ABA633
SHA-1342A187671B7BA8A42E69105930D3A613865E157
SHA-25687B506C8719698832E159CDFC01B2E45C1C82B2A4B0FB454C3D597F65E686BEB
SSDEEP768:wtZ3dMBDiY9W3FQyGfxvTKrmTn0mFtkddn9fErHWs4uL6Xmu2W8mpkJuU:wtli1U8v8mTfF2dtWr2s72XmDapIu
TLSHT1DB833A07B3A215FDC1EAC538869BA3223770744182265B7F3154AF361F51E608F6EFA5
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
FileSize600784
MD51541D90D1058C722E34F06E27EF17E35
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-15DE62FD66681D5F3D1FD75FC8E42033B34BD3B46
SHA-2564921C6753F7BBB8E153A30077578DBA3591B15B0737854897BD6BBE8B5F1B0E5