Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-37m-arm-linux-gnueabihf.so |
FileSize | 447908 |
MD5 | EC275E41F4364939645BB62B769C5A76 |
SHA-1 | 2853FC56E784867D3AAEF1AFDE5D11951E07EA3F |
SHA-256 | CA4F8D8F8BB04B335344DBF4BCDF2ED97EB2145CEE35E5FF579E70A0C98E2A23 |
SSDEEP | 12288:CzMOteYs2cRBmnCA7Lpa6PHj+DFV4OepJ9PLQdNLwl1OGcNyDesuxIX53IZNeuGu:CzMqwZO3E |
TLSH | T1DA943A0978024B62C286E13860BDA0CBEF02F4D826F71DD9D2F5A23775D2C7595AF798 |
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 | 550444 |
MD5 | ED9BEFF4D0B85B455FEB6583D142FC9B |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | 9BE03C1F23D448144830C360758EF600CB1725D9 |
SHA-256 | 51FDFA7DC1D717DFFCD7AAD0DB16C56BA4F7A6F2E8B5924A73D5496C9F1ACA7F |