Result for 72F84EECB028A91A25E09CB19BD024E9A8E821F8

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/gdal.py
FileSize59090
MD5963F09F01722D2333D9922DC2DB683F4
SHA-172F84EECB028A91A25E09CB19BD024E9A8E821F8
SHA-256993B247E82F6D7823E296DD86BDD7AE245CF87D2D827C63C403A2D0E7BBE1C2C
SSDEEP768:9r2GpdVzyptStlGrz9ujt9r9Y9oG9d5Kt92hCo5+s9rmN1dLjX+VVT2syNOA4wWw:9vVOpt0xO1XDeeGgSiAM+rgE
TLSHT1BD434206D53D9C32CA07A1B8ECA2B529BE242C73159B617CB9BCE1A06F3755CC4A4CF5
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
FileSize231024
MD58267C16F5D9AB748AF2E1EFA86D1396D
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion1.10.1+dfsg-5ubuntu1
SHA-1FE6B6BAA95E6F342C86350C22D1E62D4E439234D
SHA-256C03A2F6F56F13C91DD19539B42004BB2CE23379AE5C794A80DBEE37F742D3F8C
Key Value
FileSize213136
MD59EAF5C333E7B74B50A4B6AD2ED3BD049
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion1.10.1+dfsg-5ubuntu1
SHA-12F1290B1CA0EAFE5AFD61D7779502275575FA895
SHA-2563A6E84BE32C2019C3D8EBD53228D672A5600EEF0EB85C8E6344EB99CAC9367E8