Result for 2B71DE28D201786E98165CA93990E3FC610E108A

Query result

Key Value
FileName./usr/share/doc/python-colorspacious-doc/tutorial.html
FileSize39468
MD5277A943684C6D1A194BA518B59773CEC
SHA-12B71DE28D201786E98165CA93990E3FC610E108A
SHA-25635446B8FF83BD1EA2FFBEA8509D5151DF8C1AEBEFD8E701055D93B8F6909118F
SSDEEP768:IFSaEpuBNG7bRkuwd61NMaMYtL5waqj9JX8gKOgzId+W+dFYk:BaNG7bRkH01KaMYtL5kzXKOE2+dFJ
TLSHT1F50331E1E6FA9237013BC0D352AE0B39B5E2446AE4960585B3FC937843DDE54780BD6E
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
MD50B3E22B69A6DD00629149F41FCBF7816
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
PackageRelease12.fc34
PackageVersion1.1.2
SHA-10FDF6BFEFDC38354E77E05C5FAA4D4280C2106ED
SHA-2564ABD6BFA5F37289BA1D83ED9182FC940D779458A290A4DDBC707A040D2033C93