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pylab_luts.py

# Lookup tables imported from pylab automaticaly by "cm2lut" script.
# Do not modify manually

# These colormaps are borrowed from matplotlib. See matplotlib license
# for license agreement (http://matplotlib.sourceforge.net/license.html)

# 34 of the colormaps are based on color specifications and designs
# developed by Cynthia Brewer (http://colorbrewer.org). The ColorBrewer
# palettes have been included under the terms of an Apache-stype license
# (for details, see the file LICENSE_COLORBREWER in the base directory of
# enthought.mayavi source).

# 7 palettes are from the Yorick scientific visalisation package, an
# evolution of the GIST package, both by David H. Munro. They are
# released under a BSD-like license (see LICENSE_YORICK in the base
# directory of enthought.mayavi source).

lut_dic = {'Spectral': [[0.61960786581039429, 0.0039215688593685627, 0.25882354378700256, 1.0], [0.62806615058113546, 0.013302576171197728, 0.26082277473281412, 1.0], [0.63652443535187664, 0.022683583483026893, 0.26282200567862568, 1.0], [0.64498272012261781, 0.03206459079485606, 0.26482123662443724, 1.0], [0.65344100489335899, 0.041445598106685223, 0.2668204675702488, 1.0], [0.66189928966410017, 0.050826605418514387, 0.2688196985160603, 1.0], [0.67035757443484134, 0.06020761273034355, 0.27081892946187186, 1.0], [0.67881585920558252, 0.069588620042172727, 0.27281816040768342, 1.0], [0.68727414397632369, 0.078969627354001884, 0.27481739135349498, 1.0], [0.69573242874706498, 0.088350634665831054, 0.27681662229930654, 1.0], [0.70419071351780615, 0.097731641977660211, 0.27881585324511809, 1.0], [0.71264899828854733, 0.10711264928948938, 0.28081508419092965, 1.0], [0.72110728305928851, 0.11649365660131854, 0.28281431513674121, 1.0], [0.72956556783002968, 0.12587466391314769, 0.28481354608255272, 1.0], [0.73802385260077086, 0.13525567122497689, 0.28681277702836427, 1.0], [0.74648213737151203, 0.14463667853680603, 0.28881200797417583, 1.0], [0.75494042214225321, 0.15401768584863521, 0.29081123891998739, 1.0], [0.76339870691299438, 0.16339869316046435, 0.29281046986579895, 1.0], [0.77185699168373556, 0.17277970047229355, 0.29480970081161051, 1.0], [0.78031527645447674, 0.18216070778412269, 0.29680893175742207, 1.0], [0.78877356122521791, 0.19154171509595186, 0.29880816270323363, 1.0], [0.79723184599595909, 0.20092272240778103, 0.30080739364904518, 1.0], [0.80569013076670037, 0.2103037297196102, 0.30280662459485674, 1.0], [0.81414841553744144, 0.21968473703143937, 0.30480585554066825, 1.0], [0.82260670030818273, 0.22906574434326851, 0.30680508648647981, 1.0], [0.83106498507892379, 0.23844675165509768, 0.30880431743229136, 1.0], [0.83767782589968509, 0.24675125000523587, 0.30888121093020721, 1.0], [0.84244522277046652, 0.25397923939368305, 0.30703576698022728, 1.0], [0.84721261964124794, 0.26120722878213021, 0.3051903230302474, 1.0], [0.85198001651202926, 0.26843521817057742, 0.30334487908026753, 1.0], [0.85674741338281069, 0.27566320755902457, 0.3014994351302876, 1.0], [0.86151481025359211, 0.28289119694747178, 0.29965399118030772, 1.0], [0.86628220712437354, 0.29011918633591893, 0.29780854723032785, 1.0], [0.87104960399515485, 0.29734717572436614, 0.29596310328034792, 1.0], [0.87581700086593628, 0.3045751651128133, 0.29411765933036804, 1.0], [0.88058439773671771, 0.3118031545012605, 0.29227221538038817, 1.0], [0.88535179460749902, 0.31903114388970766, 0.29042677143040824, 1.0], [0.89011919147828045, 0.32625913327815487, 0.28858132748042836, 1.0], [0.89488658834906187, 0.33348712266660202, 0.28673588353044849, 1.0], [0.8996539852198433, 0.34071511205504923, 0.28489043958046856, 1.0], [0.90442138209062461, 0.34794310144349638, 0.28304499563048868, 1.0], [0.90918877896140604, 0.35517109083194359, 0.28119955168050881, 1.0], 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