Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-35m-mipsel-linux-gnu.so |
FileSize | 63616 |
MD5 | 1FCDFF68976C12AAB6F8793DEB4052B8 |
SHA-1 | 21361EF28437E3EF6D29DAD6FDDAEC47DC84A4F5 |
SHA-256 | C81014A9690FA561CF49C406FEF61466778CEF2403A621107A9CA8CCB5DD655E |
SSDEEP | 1536:TznsE5uk0D4rknjaZMzw3d1bSlfnwg/HrjAKpAWAHCWBUbDopRuJxmOPimpmw/uA:nsE5uk0D4rknjaZMz0d1bkfnwWrjAKpv |
TLSH | T16B53E7066F449FA3C8DBCC34487EC24252AF9C4B50D9BB03B97C869D2A5275E6CE719C |
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 |