| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-colorspacious-doc/_images/hopper_deuteranomaly.png |
| FileSize | 172167 |
| MD5 | 27D79A5FDDBEC9CFDB5DDE8222B3C7C6 |
| SHA-1 | 2D2D00BDC590FB9430EA05F71B031DE0F7ED1C9B |
| SHA-256 | 127745133C41A4962F57C83547803D67CF09F77398532ADA4B12142F4C02F2DC |
| SSDEEP | 3072:5KJ+RrXNcvB5cMMqK/4XD8z1hjMR6ODwo7gfh5ghNzyi0f0vZHcIdCJjTqMdi/g:MI5CkMFK/4XD8z1hjMR6OD1G5oci0fcW |
| TLSH | T137F323D06F3B7D7217E20942861C493AE627B0A3ED0B42A1F0FADCB612CF5D9B041D86 |
| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
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 |
|---|---|
| MD5 | 0B3E22B69A6DD00629149F41FCBF7816 |
| PackageArch | noarch |
| 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. |
| PackageMaintainer | Fedora Project |
| PackageName | python-colorspacious-doc |
| PackageRelease | 12.fc34 |
| PackageVersion | 1.1.2 |
| SHA-1 | 0FDF6BFEFDC38354E77E05C5FAA4D4280C2106ED |
| SHA-256 | 4ABD6BFA5F37289BA1D83ED9182FC940D779458A290A4DDBC707A040D2033C93 |