Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_osr.cpython-35m-mipsel-linux-gnu.so |
FileSize | 245088 |
MD5 | 4BA01CADC9B3D6E1CDB2327F63BD83C1 |
SHA-1 | 2BF81FC8A3A52FE9EAE94E005414817B81733D98 |
SHA-256 | B95B34AB2B91FEB8C324038D7B770178589A422CE95B6CC48F0170764A9F179E |
SSDEEP | 6144:7YRUoZE6zdnlXyInLLyUOD16A/Tom9ul4Jzf9zeh0Yj2k/R6hqCUeyUCa5/FQbs7:URUoZE6zXXyInLLyUOD16A/Tom9ul4Jx |
TLSH | T14034A65A47055EE3C1E7CC7944AFE746181F9CA32DDCF8266C6C802A3603DE96D9783A |
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 | 442410 |
MD5 | 1701B8CD3CFF5CB2F2E288952399499D |
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 | 2.1.2+dfsg-5 |
SHA-1 | 903FE00A140B78FADDF2E836452AA8B20A32D09F |
SHA-256 | 831D79B05E602DA47E5A5EDA7AC99BECD6BAD112656B3723A6EDEEDEB368BA96 |