Result for 243267C5060ED096DA8D00CCC6B4DF5BD1DA9A4B

Query result

Key Value
FileName./usr/lib/python3/dist-packages/osgeo/_gdalconst.cpython-37m-mipsel-linux-gnu.so
FileSize27656
MD5A7BA2FCD4001488EE0F9B1FB36525446
SHA-1243267C5060ED096DA8D00CCC6B4DF5BD1DA9A4B
SHA-256C0089A67D7621686677ECF1589A3A9EDA7578C12005F437277989AE62391AD7B
SSDEEP768:3Ob4405NkDJubyfuLV5kic9tj/B+/Of2PlS33N3q7tvlblHNb97t389u37iO6+OK:Bf5NkDJubyfuLV5kic9tj/B+/Of2dS3A
TLSHT1E5C232FB5FB27C66CAC5DCBC4159833685DE9E3BA0C8B3D364184A6C2B0B684DD63164
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
FileSize530016
MD57C48D54DE6F155CBDE80F14345AE8312
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.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion2.4.0+dfsg-1+b1
SHA-1762F209C9952B5697D4B1E079B0E3049EFA636CB
SHA-2565B70488518D5FCBB9146F97FC8388D72572C22B08610CDC466A9BCBFFC294ECA