Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gdalconst.cpython-35m-x86_64-linux-gnu.so |
FileSize | 23448 |
MD5 | 0AFAB02F3AFD0E2DD17E5927BEB3F0C4 |
SHA-1 | 77B47E11D525FBC1B46B5ECE0BA0A786F4AC2831 |
SHA-256 | 90A120C89E452E201D322478D443376E1BCE9BC3EFA13AF55D7415F115FB7EAE |
SSDEEP | 384:xC2jw9kXdAOKjcVUwLML0uYI45Hs0fPHcM5Sef:xREcyOKjc1LMLm+sH/f |
TLSH | T1CCB2A443616584B9C065833C8CE781EE941178595B31B7AFFE60E7653A4353C8B2FE87 |
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 | 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 |