| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-39-x86_64-linux-gnu.so |
| FileSize | 675224 |
| MD5 | D89D4F2626E6228EB24B631E911D54E6 |
| SHA-1 | 05ED9DE2B06883515DCC88E1F6690D6731A53C4D |
| SHA-256 | E83D2F3F246B28CFB6ABA5B76A51D32896BDA6DF04F8EA134B2D7C51173351A0 |
| SSDEEP | 6144:cT2B8vA66Py8k/H859FbxqQRzA8q+Mumtxm5mJd/Q4CRm/o:a2buH85H7DmJd/VD/o |
| TLSH | T141E42B17ED9216BCC1D2C534407FA2A6BF30F8D4D4B55C6E60F8A2332692DB4276E7A4 |
| 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 | 1041108 |
| MD5 | 201E797F966E3782ECAE24477488B28F |
| 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 the GDAL/OGR library. |
| PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
| PackageName | python3-gdal |
| PackageSection | python |
| PackageVersion | 3.3.2+dfsg-1 |
| SHA-1 | 8BDB29DAED3DB05A66FA33B5948914BE33933C18 |
| SHA-256 | 9A234A26E9BDDC3BECD66F479D18A58A58E5D98C7A329E329B57E6A4A4ABE934 |