| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal.cpython-37m-i386-linux-gnu.so |
| FileSize | 507028 |
| MD5 | 089A37BB549828387C2DC1A66AFFBB5E |
| SHA-1 | 0919E935D08016A4A87525EE635682F3B782C9E2 |
| SHA-256 | CAE2AF6FF3F49427B5204F7D97617D7178C39306BCD38A8AC852F1A8F1369E85 |
| SSDEEP | 12288:UFm//hih//cGxup6vKbMEPB7NNiNaYWjsh3z:aqhC//ck+mNaYB3z |
| TLSH | T1C4B44D56BB00E572E6BB41FC61DFBBD14011C72591E3E8A328DDAE32303792262577B9 |
| 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 |