Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/osgeo/_ogr.mips64el-linux-gnuabi64.so |
FileSize | 628928 |
MD5 | 930DEE610BC2026A5DA0EF79218EA79D |
SHA-1 | 07AD99945A142E7EDF3EE07B2607E3637B28BDC5 |
SHA-256 | 132523B37964A918DCC8D1D9B618A702C730BAEF743F643EA5C79B4C759ED646 |
SSDEEP | 3072:bIywbfm7IYnoQghiaIxqGqmoeRkdxlH/0Vhvnt0I+CGYtMI/7hpg/CtU3N:Z7IYoQghTGPoeRyvHkvt0rWg/IUd |
TLSH | T114D43B496F050F33C189CE7A453DD19A7F2CFCFD31D68942A9A865376027CBA09DB90A |
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 | 628680 |
MD5 | 1AB6762644D7A07BB2A9275A4635EF6D |
PackageDescription | Python 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 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 | python-gdal |
PackageSection | python |
PackageVersion | 2.1.2+dfsg-5 |
SHA-1 | 6EA7FB145EC661A58A4CE2953FE1477A4660E688 |
SHA-256 | B4FD12E98D5B2CDFB6050358970E6881E7A55B41CEFF9DF97733F7DDBB4EFDC3 |