Result for 13D4064FD83F5E1E679C3ABE280627BDD9F4F893

Query result

Key Value
FileName./usr/share/doc/python-gdal/examples/ogr2vrt.py.gz
FileSize2464
MD540D231E83A6BDFE840B4D77EF1A5FF0B
SHA-113D4064FD83F5E1E679C3ABE280627BDD9F4F893
SHA-25621CE9B8E7E628245D3E233F267A90B68496296493ECCF23281CFF047FEBE9FDE
SSDEEP48:XlCNuW1qhxAlf3wBAGKWUXZAkZDb0boBD8RFMX/RrtHr/dUI:1CHqhxA93wBFSWkZsUBD8R2PR5+I
TLSHT10E516BCF3ECBCE1EB77550F31C1A2AED182C5EA2897BE7B4C29E04558A2B0840381C30
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

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
FileSize412920
MD5F5A21D20A9E4E7DB6642F36AD5DA1EEF
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-gdal
PackageSectionpython
PackageVersion1.11.3+dfsg-3build2
SHA-16673D5C636223E80FD31750CF9ECE9F20E70B224
SHA-256157D3CB70A390DE552B215BA185FF5E239BA6B3279636278E1EA11102791BE9B
Key Value
FileSize423434
MD5E44C0518B9E0A3776F6056232474752A
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-gdal
PackageSectionpython
PackageVersion1.11.3+dfsg-3build2
SHA-1C3A8B10E1FBE948C846D560CFB5C787D8BED2C42
SHA-25650F33C9CD2B8F9170DF9F703AAB9AD6FFB9D4F6A9C7694F4F53B8F8B68B96A8E