Key | Value |
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FileName | ./usr/share/doc/python-gdal/examples/rel.py.gz |
FileSize | 2607 |
MD5 | BF91E11BB46A8237539AC2A9304E990C |
SHA-1 | 03FA519EC02EEC4C3CA3AD816C7CB7ACC2D5D0D1 |
SHA-256 | AA93F70397E77ACB8F0CBA85731374CAA2BA65580C65EC056E5F9E2C4B3A70AE |
SSDEEP | 48:XJ34MXqkiocjBmIGTOjT2Jkri27kUnlF8ux4czXG57DeBw0BJ8RSjnSSwF:OMRiocNmIGTA6o7FYA/zXyv49BJ4ESSG |
TLSH | T170513BD42AEA0824D6106DF4E5C67967EEDDF0EC3784EE012300A829564BCC2E64CC63 |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 412920 |
MD5 | F5A21D20A9E4E7DB6642F36AD5DA1EEF |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-gdal |
PackageSection | python |
PackageVersion | 1.11.3+dfsg-3build2 |
SHA-1 | 6673D5C636223E80FD31750CF9ECE9F20E70B224 |
SHA-256 | 157D3CB70A390DE552B215BA185FF5E239BA6B3279636278E1EA11102791BE9B |
Key | Value |
---|---|
FileSize | 423434 |
MD5 | E44C0518B9E0A3776F6056232474752A |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-gdal |
PackageSection | python |
PackageVersion | 1.11.3+dfsg-3build2 |
SHA-1 | C3A8B10E1FBE948C846D560CFB5C787D8BED2C42 |
SHA-256 | 50F33C9CD2B8F9170DF9F703AAB9AD6FFB9D4F6A9C7694F4F53B8F8B68B96A8E |