| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_gdalconst.cpython-39-s390x-linux-gnu.so |
| FileSize | 39792 |
| MD5 | 642B2B2FA5221E22027014F4FD41728E |
| SHA-1 | 1C03311A82E26B881340FA531AAC31C741D852A4 |
| SHA-256 | 832204CE42515A6E15499419A62E209A9E83BE97B03ABCBBFFB83692417458B1 |
| SSDEEP | 384:zHmgMiLP0k9LpOHgpodLg4GM5ksPtS+EAPYPTIVhpY5nb6eJil6Hya8:LmcLtWAKpgpM6uTEVbUhpY5nbJil6X |
| TLSH | T12303F0A5D521C6EDC018B37ADADD35E5E19F38372B8A870D579DC78228E0EE44734236 |
| 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 | 859472 |
| MD5 | 1F843F686081762D6478AAAA873B2C67 |
| 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 | 3.4.0+dfsg-1~exp1 |
| SHA-1 | 2EAF3E27B3A1B8116C2DBC8F1843E6231C1B2A53 |
| SHA-256 | EB3BEF1357BCB3190D12181DE4DCA6F749F691C2FED82590B0AC847D95C9073C |