Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/_gnm.cpython-39-aarch64-linux-gnu.so |
FileSize | 83888 |
MD5 | F8EE3BA216A298D4D769C30922A11EDA |
SHA-1 | 011457599240282A114D6F49577E49BD9AC45F24 |
SHA-256 | 0138EAC4FDFD857544801690EDAC88EE244BABCED9F35D06C3CC681E5F82EFC4 |
SSDEEP | 1536:w1zOB0phsitqYgGFJJG5p8WleNhAjyD9Ht08qQ1mTgXRS:w1zOBIscqEAQNYQU |
TLSH | T143833B5EFA0CA963DA9A433847D66B12F1330489D39651E73150A73E3EC78C246BDDAC |
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 | 1001836 |
MD5 | 8D706CA7AECD81E95F7AAF696628F239 |
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 | 3.3.2+dfsg-1 |
SHA-1 | 16EF3C7D01EC4857A1D2757A325DFD1AEF372714 |
SHA-256 | 959577C8DF08FBE8F7348001CDBD52BC387A8B75652901EA0B45E4312D79641E |