Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/osgeo/_gdal.i386-linux-gnu.so |
FileSize | 288292 |
MD5 | 4D33989CEDD0E9A11DA3D0D4AB4DB703 |
SHA-1 | 1663CF9A63D79DF3D5821F24366157359DC56363 |
SHA-256 | CB85CA0A09ED10771C9861459E604E7FCEC2371D08E27E90A2D56FF5C8F36DEF |
SSDEEP | 3072:F8cwy1W5vjx9xIMcAeDdIRDUAeECZk4ue1yF9UT/u50NHOm8+hISJj:T1mBEdIRDUAeEkie1yF9UTGgISJj |
TLSH | T1EA54FB40F50BA4F2FAFF12BC81FBF72F5510971181DBAEA299E43F12B6338125429695 |
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 | 363614 |
MD5 | 9CAD997197C2E06EEE31DB3D68B76990 |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-gdal |
PackageSection | python |
PackageVersion | 1.10.1+dfsg-5ubuntu1 |
SHA-1 | 14B95F36CA1270BAF391173A44E1C42E76D8A98C |
SHA-256 | 5016C1B7D726260981597AF05D88451ED6EFA829C7FBA6D9E6B514285EF6E7EC |