Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gnm.cpython-37m-s390x-linux-gnu.so |
FileSize | 83880 |
MD5 | B077A85D8029337BB45091644B913881 |
SHA-1 | 0D5A805371D81C3BC8D20FCCD9C483307731A221 |
SHA-256 | 66E0F3045D7A73B3E025258971FDBE5E56C92A7E264A39F84608DF41A2C4970F |
SSDEEP | 1536:UrIoGnv9eJrCZadl0+dJ/LFO8xXvh9eO:UrIhir30+dZNff |
TLSH | T19D83C8176735DAE1D8BC7A3651AB2B718373603123DB446F7A9CDB263C91E208E25B31 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
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FileSize | 561884 |
MD5 | 5ADC8ED21548EF8EF9EF27E0EE8FB3D8 |
PackageDescription | Python 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. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 2.4.0+dfsg-1+b1 |
SHA-1 | 71EEF2A5751B811178FF5995A6AB330D5B9B7720 |
SHA-256 | 49C9158009E56777FE0A134EDD97165544C39A37E291CC4B2CA0C8C232602464 |