Key | Value |
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FileName | ./usr/share/doc/python3-gdal/examples/validate_gpkg.py.gz |
FileSize | 12652 |
MD5 | FB1E73E524D4F28D7C4EA925D15B9312 |
SHA-1 | 0A9A1FDFAF26C28B16B495C4134AAB670BE626FF |
SHA-256 | 6713E60FDF289EA925AACBDEAAED1FFAE9596345D276A7AF574276DA85DD1592 |
SSDEEP | 384:PWbum4xg0RvOzGT+/AA/toddzFZRQ4NmQfV12R:PWboZvBVA/toddzFY4NmQrA |
TLSH | T1B842D1EBAD434D8E4DFCF3E76287B0701626BF8D20025DD0253523B54A34F97AAB4686 |
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 |
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FileSize | 576856 |
MD5 | DBBBDD8493EEEA6B4842A1FBE88EE2AA |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 3.1.3+dfsg-1ubuntu2 |
SHA-1 | B73047EDA22A06E4F815523EDF77754DE58305E6 |
SHA-256 | F1A7CE03FD835C5552B3ECAE4F75979775EC45353615174541C4385A2D1DBDCA |