| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-39-powerpc64le-linux-gnu.so |
| FileSize | 807240 |
| MD5 | 6E5E869D820EA3B3CF71BA3332872A04 |
| SHA-1 | 0AE3D76378841481D1A5A8D4E5C3A6936648D83E |
| SHA-256 | BB0A08C8B5D850752A7BFC262FD5A47F7D61A704857222C58705E3E3AE5E72A8 |
| SSDEEP | 6144:oNpmiFFtwBCX54XuGTuZHCy0BMxAEWAUk1f1ioTqTRScNf4TxwvEu4yfiGTwPQlC:C1tFPP82TmJ0/8lFb |
| TLSH | T11B052B16354CA713CB47BD3F86FDB546F304B8DC067508827A51032BBAA573A69ABB4C |
| 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 | 892812 |
| MD5 | 1550B9225D516599AED5374C206C8022 |
| 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 | 8E32197EC207BFA2EB9325DEFF145E197E00E2CC |
| SHA-256 | AC88FF60CA42644D8D0E12865F4D4F7A9804CCAC5AE5BC5FCE33323BF852947B |