| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/osgeo/_osr.cpython-35m-mips-linux-gnu.so |
| FileSize | 245088 |
| MD5 | 31B900F71C910EDDBBAB7AB1BFB831A6 |
| SHA-1 | 63BBA7BB38C5CCE9459A1BA7A2A803E283876383 |
| SHA-256 | A1B05CB83B1E7E6168B9E4B2B2B3A1A9EF1717E8256DB46C4258F2DB86CCEC55 |
| SSDEEP | 3072:icPBm09iXMlJ+BkPXAti/1b2np+Da4+A1SpAFpGhdHunre:icSGPXf/k+Df1SpAwdOnre |
| TLSH | T16534A71512649FCBF3BA827440F797CB9919A0B33CDFD82540ACE2353942DAA2987D77 |
| 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 | 436310 |
| MD5 | B615274502C21C29D505DE4F5468C92A |
| 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 | 370B1C759176E6E5FAE01ED4B65195B10727FEE0 |
| SHA-256 | 64CDA84F51C9D9E48D5F795FA2CB21A46F3868907726C8F97BF0D0449F32175E |