Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/_gnm.cpython-37m-x86_64-linux-gnu.so |
FileSize | 88216 |
MD5 | B42020BBE3FE845422D89A6458ABA633 |
SHA-1 | 342A187671B7BA8A42E69105930D3A613865E157 |
SHA-256 | 87B506C8719698832E159CDFC01B2E45C1C82B2A4B0FB454C3D597F65E686BEB |
SSDEEP | 768:wtZ3dMBDiY9W3FQyGfxvTKrmTn0mFtkddn9fErHWs4uL6Xmu2W8mpkJuU:wtli1U8v8mTfF2dtWr2s72XmDapIu |
TLSH | T1DB833A07B3A215FDC1EAC538869BA3223770744182265B7F3154AF361F51E608F6EFA5 |
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 |
---|---|
FileSize | 600784 |
MD5 | 1541D90D1058C722E34F06E27EF17E35 |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | 5DE62FD66681D5F3D1FD75FC8E42033B34BD3B46 |
SHA-256 | 4921C6753F7BBB8E153A30077578DBA3591B15B0737854897BD6BBE8B5F1B0E5 |