Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal_array.cpython-39-i386-linux-gnu.so |
FileSize | 77260 |
MD5 | 1FC0F77B45747B4AFD825939E25453BD |
SHA-1 | 030A654AA6501EE040FBB238BAC9073B92A07AD9 |
SHA-256 | 5369A86A7C55AA2137DF65AA3F430C84FCE7453FC942FAA7E096487FA52CD4E0 |
SSDEEP | 1536:MhS7fLT8tXWukoeNYfyITWyR+ciL1+3icZ3ljKfEA7LuP4JhG3xjMWPFqruz4RhY:wsE1WukkDayR6h+f3ljKfEA7LuP4JhGb |
TLSH | T128734B06B741C9B3FAA344FD56CBC71396119A205093E7E2FA0C3BA93C311956D367BA |
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 | 885796 |
MD5 | 75BBF36D9503BCB30F45A28606BC9C48 |
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 | 4D301BC9EE508AB4BAA617B6BB489D03E6D5354F |
SHA-256 | 8383A097F6252F555BD7DF14CBB30C8FEAAA39881CC86ED7AC9E5E03DA6624D2 |