Result for 0186A3153A545452FC5DD5D6283F897323C3696C

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/osgeo/_gdalconst.mips64el-linux-gnuabi64.so
FileSize29112
MD5F6B7C540AB78B9B0194788E3A9AEE3AF
SHA-10186A3153A545452FC5DD5D6283F897323C3696C
SHA-25614354996C6B426B17FEDE91D496AA48DB930A6A6C5F21A2516C7FF15DD3ECA75
SSDEEP384:haoY78K/4Govaw+v+heddJxR4GVhBubPD07e:4oRS9ova/GMddDSsBk07
TLSHT15BD287B95F48EF2ED1E1CFF64C2AB02309AC5CAF9269439B9F4850D54A0D9CA0F6154F
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
FileSize628680
MD51AB6762644D7A07BB2A9275A4635EF6D
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.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython-gdal
PackageSectionpython
PackageVersion2.1.2+dfsg-5
SHA-16EA7FB145EC661A58A4CE2953FE1477A4660E688
SHA-256B4FD12E98D5B2CDFB6050358970E6881E7A55B41CEFF9DF97733F7DDBB4EFDC3