Key | Value |
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FileName | ./usr/lib/python2.7/dist-packages/osgeo/_gdalconst.s390x-linux-gnu.so |
FileSize | 27408 |
MD5 | 7958A7CFAC17E9BB6BDB3DF50ADEFCBC |
SHA-1 | 06D5FB87A4CF87EE56058993A8996C8933B25DF9 |
SHA-256 | DED7E50BA44BD1B00DF1F260283816B8B72E71B1F5E3475825DB03DCF6A25DE6 |
SSDEEP | 384:48d72t4K5rnMr7dt3PHClZPlkRNrdcNYgaNWIxxJil66NwB6ML7PdN:48Eywg3PHCXlkRNONYgadx/il6nvN |
TLSH | T1AFC2D7946A32C6EAC4747B3D438A16E3D6FE38357387D6287A5CCB1618E376046503BE |
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 | 657140 |
MD5 | B5A2A8030AD9FE5F04C3931079EB30C3 |
PackageDescription | Python 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 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 | python-gdal |
PackageSection | python |
PackageVersion | 2.1.2+dfsg-5 |
SHA-1 | 970F7D163D6D84ADFBEB05F22B0F0AE2902B15F9 |
SHA-256 | 7485CF5BFF46CB63C56AFF47978D46DC954B02CD2A243480DD4A6220C681D171 |