Result for 2837EAB2EEB076D7DA8A35F6D2735BB2EB38F017

Query result

Key Value
FileName./usr/share/doc/python-colorspacious-doc/_images/hopper_protanopia.png
FileSize254458
MD54459ED8B9051FDF50D8E5C389192E938
SHA-12837EAB2EEB076D7DA8A35F6D2735BB2EB38F017
SHA-256E7245C6D3DC9CDCD88B6ADBC150582D7B15141B1723FE7EA5ED90751E4180B3A
SSDEEP6144:070NApv1plRSVWcaFXVr6TjwS9fPvDyFop228RU:0EAlbcA9B6Tr9H7y+Qq
TLSHT18544235974D6BD025B9B701A2430D6394008C6BB8CE799C2BF63D6C5FE30C5A399AB0E
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