Result for 2C3BE4B3D649A09F34A1704EA9830176EA4F32DD

Query result

Key Value
FileName./usr/share/doc/python-colorspacious-doc/tutorial.html
FileSize39759
MD55BFF1EA690E65A1D8A8F50568BE1518D
SHA-12C3BE4B3D649A09F34A1704EA9830176EA4F32DD
SHA-256D673AEF70D0FDC051E670E1AF02EA5B4371990AA8C26C6E673E61F864A2AA4A3
SSDEEP768:aPASOpuBNO7bRkAwd61NMaMYtL5waqj9JX8gKOgzId+WDdfk:JiNO7bRkd01KaMYtL5kzXKOE2Dds
TLSHT1C30333E1E6FA9237013BC0D352AE0B39B5E2446AE4960585B3FC937843DDE54780BD6E
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
MD5661F8280AB4CB5B1CB2124ECDB2F9411
PackageArchnoarch
PackageDescription Colorspacious is a powerful, accurate, and easy-to-use library for performing colorspace conversions. In addition to the most common standard colorspaces (sRGB, XYZ, xyY, CIELab, CIELCh), we also include: color vision deficiency ("color blindness") simulations using the approach of Machado et al (2009); a complete implementation of CIECAM02; and the perceptually uniform CAM02-UCS / CAM02-LCD / CAM02-SCD spaces proposed by Luo et al (2006). This package contains the HTML documentation.
PackageMaintainerFedora Project
PackageNamepython-colorspacious-doc
PackageRelease9.fc32
PackageVersion1.1.2
SHA-1604ACD6AEB90AB916E9DE0B0B53BD70B98B77EA5
SHA-256AB8997ED457C04E9E720ADA35337CFD77EE756F24A831D8F47F1310E6F01AF51