Result for 2BF81FC8A3A52FE9EAE94E005414817B81733D98

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_osr.cpython-35m-mipsel-linux-gnu.so
FileSize245088
MD54BA01CADC9B3D6E1CDB2327F63BD83C1
SHA-12BF81FC8A3A52FE9EAE94E005414817B81733D98
SHA-256B95B34AB2B91FEB8C324038D7B770178589A422CE95B6CC48F0170764A9F179E
SSDEEP6144:7YRUoZE6zdnlXyInLLyUOD16A/Tom9ul4Jzf9zeh0Yj2k/R6hqCUeyUCa5/FQbs7:URUoZE6zXXyInLLyUOD16A/Tom9ul4Jx
TLSHT14034A65A47055EE3C1E7CC7944AFE746181F9CA32DDCF8266C6C802A3603DE96D9783A
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
FileSize442410
MD51701B8CD3CFF5CB2F2E288952399499D
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-1903FE00A140B78FADDF2E836452AA8B20A32D09F
SHA-256831D79B05E602DA47E5A5EDA7AC99BECD6BAD112656B3723A6EDEEDEB368BA96