Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-34m-arm-linux-gnueabihf.so |
FileSize | 274804 |
MD5 | AD959439FFBF3750C1B73EAB9B613488 |
SHA-1 | 589C95A200041BA0A6D15FF78F2549BC188A2C95 |
SHA-256 | 835E79166B7C36F0FC80AE284600A3A4C5AC52C1742F09328AD10619416BD456 |
SSDEEP | 6144:Jk0XvIrxT2p124m0yE43867Flol/2V6IVp8vuAy/ynIJRrk8nyO:RvIrxT2p1U0yL3867Flol/2V6IVp8vuB |
TLSH | T1EA442949FC814F6BC18AD238517EA496EF25F0EC30EB19E9D8A991373182C3565EFB50 |
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 | 332164 |
MD5 | FD08CF1AD5084F297285659803E56ABC |
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 and a set of additional command line tools. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 1.10.1+dfsg-8+b3 |
SHA-1 | 7CDCEFC35CDCABAEF295231EBB042104A366FE4D |
SHA-256 | 9EEB56E76A51119B41903170A51C00DF15C1EEB24AB786669AADF27EA0951988 |