| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-39-x86_64-linux-gnu.so |
| FileSize | 92216 |
| MD5 | 48809AF5B2EF221ACE5FF1BCED969114 |
| SHA-1 | 0AFBEC735896A3982D7E9A6A6CB5D7CCBA532672 |
| SHA-256 | 2B0CC1CFCAC9711B94C46D0A287D0CF15391DE29A7DBF9DCC06B85BF03C8CE76 |
| SSDEEP | 1536:58FJLXUiAr9oTG2NB5uH75nzrL3lzJKvksLhuP4Jm3hjcPGFkrczIRBuwq2Imq+B:5gHKAan3L3lzJKvksLhuP4Jm3hjcPGFo |
| TLSH | T1E7933B0F77919AFEC059C83485D787220770B4309471AB6B766067351F227B86F2EBBA |
| 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 | 906152 |
| MD5 | 12C1DBDDA3825E26F84A1E32883EFF51 |
| 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 | ABCF740DBDF0AE9B77AC3579045125D2E1F4D292 |
| SHA-256 | 0AB1024C968AAC62DC54DEDE610E8EF868F540F1EC866A4601456CD59550F3F8 |