Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-35m-mips64el-linux-gnuabi64.so |
FileSize | 628440 |
MD5 | CBA43FFF737BFEA7912ED758B85A876A |
SHA-1 | 00C15BFFDAA375F4A2A755A09AB4FB1DC1936C11 |
SHA-256 | 7CB52FB2DB6E811994CE10CF13D4893B724F20E40E5CFDB9D5E6F098A04B8BAC |
SSDEEP | 3072:3DG3V51ibpL9UQYoBlWaYpkVYE60Vhvnt0I+CGYtMI/7hpgdDSerK81+N:p1yElXYp2YEvvt0rWgRSmKR |
TLSH | T1FBD419456F050F23C185CE7A493DC1A67B3CFCE931A28952F9AC6637745BCBA09D390A |
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 | 443830 |
MD5 | 2969E1C9AB6B0D85A7C7C9F9BDE9D5C0 |
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 | 0906AB170309D27BB72CDF615DF4484C18C11C42 |
SHA-256 | A319BEDDEFDA4B8BD897F455C2A64F836AF268BE3112095F082624CABF21E241 |