Result for 1054A906559F2BD8F67BB37D54DAF51255DF5B2C

Query result

Key Value
FileName./usr/share/doc/python3-gdal/examples/validate_jp2.py.gz
FileSize11350
MD550FB6E634B78C116D5FDCCF33954D6BA
SHA-11054A906559F2BD8F67BB37D54DAF51255DF5B2C
SHA-256F16DE849619999A277B3A182735F1A98C423C49249EB4E846C8A3E552C0C51A3
SSDEEP192:yBQskPfR6/JTDgSYuJuFVoypAA09iDlne4bcRJAr3sFK2aHBCDA0Sujrj9SkvLgY:ybjIqVjMIHorD2akB1XckvcnY
TLSHT10E32BE74D334135B3A7AC6F28918171C7441DC9E8A20BD3DBD1496819135AAA4FFF8DE
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
FileSize576856
MD5DBBBDD8493EEEA6B4842A1FBE88EE2AA
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 the GDAL/OGR library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion3.1.3+dfsg-1ubuntu2
SHA-1B73047EDA22A06E4F815523EDF77754DE58305E6
SHA-256F1A7CE03FD835C5552B3ECAE4F75979775EC45353615174541C4385A2D1DBDCA