| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_gnm.cpython-37m-i386-linux-gnu.so |
| FileSize | 77292 |
| MD5 | EBACAE068508680DD15E131B90A1135D |
| SHA-1 | 07B2A6B653B8C3B3A4CC995FB7E74234865DF6A8 |
| SHA-256 | A643708C513E5EA9CAE5FE5BFFA4E6B71C88ECF70DA9FD04F798C1E986DFE4F9 |
| SSDEEP | 768:qyZeHL6JsfTRlHCcpQxG7PGkwBSSAGzHCgBvmI4D/392Wv7E+Q5dWtxQtE9fYXyq:vwmOtXWw8NiNNhIGXAOa |
| TLSH | T160732A46B740C872FAB649B863DEF78287108602C153D3E779493F5A3CB29616D2EB74 |
| 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 | 580240 |
| MD5 | 91F64B68301011EAA2A8521F79388031 |
| 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 | 6107D386D4DB7D916EBF20C847898BBE75AD5555 |
| SHA-256 | 2AA92B6F3F7AF05E3F68ACD3D4B4DC6E55E90D26426C59CE2FB8262095AFFB4F |