Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-34m-x86_64-linux-gnu.so |
FileSize | 33056 |
MD5 | A7BB074A7A9D366B82769A7B35FFE563 |
SHA-1 | 55DE2E55F15488F320F4E4485FE7DA96A7F449FC |
SHA-256 | AB85FF8C8C30EFFA561B3F5418609F3E27F8EF67677523821C61A9BB1828F887 |
SSDEEP | 768:EKxqPCLIo5a0cSmZMkfGgdKZzJW/E1Gb/lm/bU:EKkPCLIT0crZMkf/dKZzJW/E1WlSbU |
TLSH | T174E22917F7B18DBEC49887788497C5316D707C54C1629A62AA10E73A6A03334AB6FF2D |
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 | 354596 |
MD5 | 83951B79D8FCE6A381848E7C26E14EF4 |
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 and a set of additional command line tools. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 1.10.1+dfsg-8+b3 |
SHA-1 | 688D9AC1E43C09ECAA9B2FC9E2ED4CD155DAB141 |
SHA-256 | D36A80B3849521D0F199A5401D915BDB7D0AF5445D01A9B0D7A3E09ED901F22A |