| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_gdalconst.cpython-37m-mipsel-linux-gnu.so |
| FileSize | 27656 |
| MD5 | A7BA2FCD4001488EE0F9B1FB36525446 |
| SHA-1 | 243267C5060ED096DA8D00CCC6B4DF5BD1DA9A4B |
| SHA-256 | C0089A67D7621686677ECF1589A3A9EDA7578C12005F437277989AE62391AD7B |
| SSDEEP | 768:3Ob4405NkDJubyfuLV5kic9tj/B+/Of2PlS33N3q7tvlblHNb97t389u37iO6+OK:Bf5NkDJubyfuLV5kic9tj/B+/Of2dS3A |
| TLSH | T1E5C232FB5FB27C66CAC5DCBC4159833685DE9E3BA0C8B3D364184A6C2B0B684DD63164 |
| 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 | 530016 |
| MD5 | 7C48D54DE6F155CBDE80F14345AE8312 |
| 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 | 762F209C9952B5697D4B1E079B0E3049EFA636CB |
| SHA-256 | 5B70488518D5FCBB9146F97FC8388D72572C22B08610CDC466A9BCBFFC294ECA |