Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-35m-mips-linux-gnu.so |
FileSize | 593784 |
MD5 | E67D593E78B75714C64CACD9364143DD |
SHA-1 | 7102896F14950476571744DFF7BC453D93F6B17A |
SHA-256 | 89FEFA7E59437BAF83198C55532469933EAB2C0C3AE29ACA6938D71044D4A243 |
SSDEEP | 6144:l7chdtEUJg1xpLqCnXB9KkecuZreC9hFlb3ar/OZz7sv3i/m0r0fiXVmBQT5G:z1qCnXB/sDlF7sv3UrEilmBQTg |
TLSH | T1E5C4C7091A218F1EF299D171607F95E7EF18E0AA35EA886580BCF13A3C51C3F349FA55 |
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 | 436310 |
MD5 | B615274502C21C29D505DE4F5468C92A |
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 | 370B1C759176E6E5FAE01ED4B65195B10727FEE0 |
SHA-256 | 64CDA84F51C9D9E48D5F795FA2CB21A46F3868907726C8F97BF0D0449F32175E |