| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-35m-arm-linux-gnueabihf.so |
| FileSize | 423264 |
| MD5 | EA8BC0CF4C18204727E9F2034468BCC1 |
| SHA-1 | 67D7F05E0AC2F116B97B44964B0DFD6B0A562D13 |
| SHA-256 | 36B4D784E7492FE8DE6825B09BBE5E71E0D05479161AED932F6307E8A2D0832D |
| SSDEEP | 12288:kAm/MLlQAk/W2umbX0u+qFiSr0gsaPEs0MedYfEPMQsggVC0KJ55BtUeczrE:kCHMr |
| TLSH | T1CA945C4A78034B52C286D27860BEA08BDF01F0E861FB9CDAE6F591377583C7594EE794 |
| 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 | 456184 |
| MD5 | E9D7E568F50EEF4CE0B494E5854799A7 |
| 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 | 2.1.2+dfsg-5 |
| SHA-1 | 4B7F44264EE6B656C1971E6712DA27A59C99387E |
| SHA-256 | 9D98ECC98AEDC2F2D2B571B76BB7EF1BB704676CF6E841C3BC8B1A5B7D4BFA25 |