Result for 3B6B63A52C7F90B8293AB50D54A048DE8765A373

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-34m-x86_64-linux-gnu.so
FileSize355680
MD5F28CFFEF33FF22C810EDFBA2A0C214BB
SHA-13B6B63A52C7F90B8293AB50D54A048DE8765A373
SHA-25668D154793EDB6B80AC967BA872B9C9AEDEDEA4A10295C739FFA9AA8DE533DD9B
SSDEEP3072:8911mbPgBPFqGci0cUFIcFw/FpUTH/DWqytJ5FCyUEuVbSdZF2gCvfN+JfrDsz/r:ewTGOl+aTSx+bSdiv1+p4IXY
TLSHT1E8742B06B8421A7CC1D6D370497F52EABF34F4E451B6683F60FDA1332692A70176EB98
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
FileSize354596
MD583951B79D8FCE6A381848E7C26E14EF4
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.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion1.10.1+dfsg-8+b3
SHA-1688D9AC1E43C09ECAA9B2FC9E2ED4CD155DAB141
SHA-256D36A80B3849521D0F199A5401D915BDB7D0AF5445D01A9B0D7A3E09ED901F22A