| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-35m-x86_64-linux-gnu.so |
| FileSize | 62720 |
| MD5 | CDF7FB643AAB5E0C62DAD613277EDB3B |
| SHA-1 | 0EE43785578EF3364A9DD7C4D72276A4B5EB1E9E |
| SHA-256 | 07B54471502C6A55F77D7EF180D2B542DA81BD749FA12C6387A0F53417F4F0C6 |
| SSDEEP | 1536:yl2wE2Ii997Qw2jwdIZ+SVuDzExGBjDXa2yIWWylzJKvkBLcLhKfYNLncPGFkrx0:fwE2IiIw2UdIZNVusEjdyIWWylzJKvkW |
| TLSH | T131532B03BAB248BEC49DD77C85E7D3B369617C4041712D7F5624A6312B13B381B2EB5A |
| 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 | 486964 |
| MD5 | 74A44F431ED4BCA3B75A76A6AD0CB856 |
| 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 | 2.1.2+dfsg-5 |
| SHA-1 | 1C5688763B05C9AC24CB7A23CEA76442E2603C23 |
| SHA-256 | 98076F1A25F0515320E943DEE265CB92688AF32D0F2C063A8B5893F0A7180457 |