[Yt-svn] yt-commit r1700 - in trunk/yt/extensions: . volume_rendering
mturk at wrangler.dreamhost.com
mturk at wrangler.dreamhost.com
Sun Apr 25 20:35:13 PDT 2010
Author: mturk
Date: Sun Apr 25 20:35:12 2010
New Revision: 1700
URL: http://yt.enzotools.org/changeset/1700
Log:
I missed adding these during the big backport.
Added:
trunk/yt/extensions/_colormap_data.py
trunk/yt/extensions/image_writer.py
trunk/yt/extensions/volume_rendering/UBVRI.py
Added: trunk/yt/extensions/_colormap_data.py
==============================================================================
--- (empty file)
+++ trunk/yt/extensions/_colormap_data.py Sun Apr 25 20:35:12 2010
@@ -0,0 +1,797 @@
+### Auto-generated colormap tables, taken from Matplotlib ###
+
+from numpy import array
+color_map_luts = {}
+
+
+### algae ###
+
+color_map_luts['algae'] = \
+ (
+array([ 0.3125 , 0.30637255, 0.3002451 , 0.29411765, 0.2879902 ,
+ 0.28186275, 0.27573529, 0.26960784, 0.26348039, 0.25735294,
+ 0.25122549, 0.24509804, 0.23897059, 0.23284314, 0.22671569,
+ 0.22058824, 0.21446078, 0.20833333, 0.20220588, 0.19607843,
+ 0.18995098, 0.18382353, 0.17769608, 0.17156863, 0.16544118,
+ 0.15931373, 0.15318627, 0.14705882, 0.14093137, 0.13480392,
+ 0.12867647, 0.12254902, 0.11642157, 0.11029412, 0.10416667,
+ 0.09803922, 0.09191176, 0.08578431, 0.07965686, 0.07352941,
+ 0.06740196, 0.06127451, 0.05514706, 0.04901961, 0.04289216,
+ 0.03676471, 0.03063725, 0.0245098 , 0.01838235, 0.0122549 ,
+ 0.00612745, 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0.01960784, 0.03921569,
+ 0.05882353, 0.07843137, 0.09803922, 0.11764706, 0.1372549 ,
+ 0.15686275, 0.17647059, 0.19607843, 0.21568627, 0.23529412,
+ 0.25490196, 0.2745098 , 0.29411765, 0.31372549, 0.33333333,
+ 0.35294118, 0.37254902, 0.39215686, 0.41176471, 0.43137255,
+ 0.45098039, 0.47058824, 0.49019608, 0.50980392, 0.52941176,
+ 0.54901961, 0.56862745, 0.58823529, 0.60784314, 0.62745098,
+ 0.64705882, 0.66666667, 0.68627451, 0.70588235, 0.7254902 ,
+ 0.74509804, 0.76470588, 0.78431373, 0.80392157, 0.82352941,
+ 0.84313725, 0.8627451 , 0.88235294, 0.90196078, 0.92156863,
+ 0.94117647, 0.96078431, 0.98039216, 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 0.97564338, 0.94316789,
+ 0.9106924 , 0.87821691, 0.84574142, 0.81326593, 0.78079044,
+ 0.74831495, 0.71583946, 0.68336397, 0.65088848, 0.61841299,
+ 0.5859375 ]),
+array([ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0.00995711, 0.01991422, 0.02987132,
+ 0.03982843, 0.04978554, 0.05974265, 0.06969975, 0.07965686,
+ 0.08961397, 0.09957108, 0.10952819, 0.11948529, 0.1294424 ,
+ 0.13939951, 0.14935662, 0.15931373, 0.16927083, 0.17922794,
+ 0.18918505, 0.19914216, 0.20909926, 0.21905637, 0.22901348,
+ 0.23897059, 0.2489277 , 0.2588848 , 0.26884191, 0.27879902,
+ 0.28875613, 0.29871324, 0.30867034, 0.31862745, 0.32858456,
+ 0.33854167, 0.34849877, 0.35845588, 0.36841299, 0.3783701 ,
+ 0.38832721, 0.39828431, 0.40824142, 0.41819853, 0.42815564,
+ 0.43811275, 0.44806985, 0.45802696, 0.46798407, 0.47794118,
+ 0.48789828, 0.49785539, 0.5078125 , 0.51746324, 0.52711397,
+ 0.53676471, 0.54641544, 0.55606618, 0.56571691, 0.57536765,
+ 0.58501838, 0.59466912, 0.60431985, 0.61397059, 0.62362132,
+ 0.63327206, 0.64292279, 0.65257353, 0.66222426, 0.671875 ,
+ 0.68152574, 0.69117647, 0.70082721, 0.71047794, 0.72012868,
+ 0.72977941, 0.73943015, 0.74908088, 0.75873162, 0.76838235,
+ 0.77803309, 0.78768382, 0.79733456, 0.80698529, 0.81663603,
+ 0.82628676, 0.8359375 , 0.84558824, 0.85523897, 0.86488971,
+ 0.87454044, 0.88419118, 0.89384191, 0.90349265, 0.91314338,
+ 0.92279412, 0.93244485, 0.94209559, 0.95174632, 0.96139706,
+ 0.97104779, 0.98069853, 0.99034926, 1. , 0.99019608,
+ 0.98039216, 0.97058824, 0.96078431, 0.95098039, 0.94117647,
+ 0.93137255, 0.92156863, 0.91176471, 0.90196078, 0.89215686,
+ 0.88235294, 0.87254902, 0.8627451 , 0.85294118, 0.84313725,
+ 0.83333333, 0.82352941, 0.81372549, 0.80392157, 0.79411765,
+ 0.78431373, 0.7745098 , 0.76470588, 0.75490196, 0.74509804,
+ 0.73529412, 0.7254902 , 0.71568627, 0.70588235, 0.69607843,
+ 0.68627451, 0.67647059, 0.66666667, 0.65686275, 0.64705882,
+ 0.6372549 , 0.62745098, 0.61764706, 0.60784314, 0.59803922,
+ 0.58823529, 0.57843137, 0.56862745, 0.55882353, 0.54901961,
+ 0.53921569, 0.52941176, 0.51960784, 0.50980392, 0.5 ,
+ 0.49019608, 0.48039216, 0.47058824, 0.46078431, 0.45098039,
+ 0.44117647, 0.43137255, 0.42156863, 0.41176471, 0.40196078,
+ 0.39215686, 0.38235294, 0.37254902, 0.3627451 , 0.35294118,
+ 0.34313725, 0.33333333, 0.32352941, 0.31372549, 0.30392157,
+ 0.29411765, 0.28431373, 0.2745098 , 0.26470588, 0.25490196,
+ 0.24509804, 0.23529412, 0.2254902 , 0.21568627, 0.20588235,
+ 0.19607843, 0.18627451, 0.17647059, 0.16666667, 0.15686275,
+ 0.14705882, 0.1372549 , 0.12745098, 0.11764706, 0.10784314,
+ 0.09803922, 0.08823529, 0.07843137, 0.06862745, 0.05882353,
+ 0.04901961, 0.03921569, 0.02941176, 0.01960784, 0.00980392, 0. ]),
+array([ 3.12500000e-01, 3.23223039e-01, 3.33946078e-01,
+ 3.44669118e-01, 3.55392157e-01, 3.66115196e-01,
+ 3.76838235e-01, 3.87561275e-01, 3.98284314e-01,
+ 4.09007353e-01, 4.19730392e-01, 4.30453431e-01,
+ 4.41176471e-01, 4.51899510e-01, 4.62622549e-01,
+ 4.73345588e-01, 4.84068627e-01, 4.94791667e-01,
+ 5.05514706e-01, 5.16237745e-01, 5.26960784e-01,
+ 5.37683824e-01, 5.48406863e-01, 5.59129902e-01,
+ 5.69852941e-01, 5.80575980e-01, 5.91299020e-01,
+ 6.02022059e-01, 6.12745098e-01, 6.23468137e-01,
+ 6.34191176e-01, 6.44914216e-01, 6.55637255e-01,
+ 6.66360294e-01, 6.77083333e-01, 6.87806373e-01,
+ 6.98529412e-01, 7.09252451e-01, 7.19975490e-01,
+ 7.30698529e-01, 7.41421569e-01, 7.52144608e-01,
+ 7.62867647e-01, 7.73590686e-01, 7.84313725e-01,
+ 7.95036765e-01, 8.05759804e-01, 8.16482843e-01,
+ 8.27205882e-01, 8.37928922e-01, 8.48651961e-01,
+ 8.59375000e-01, 8.42524510e-01, 8.25674020e-01,
+ 8.08823529e-01, 7.91973039e-01, 7.75122549e-01,
+ 7.58272059e-01, 7.41421569e-01, 7.24571078e-01,
+ 7.07720588e-01, 6.90870098e-01, 6.74019608e-01,
+ 6.57169118e-01, 6.40318627e-01, 6.23468137e-01,
+ 6.06617647e-01, 5.89767157e-01, 5.72916667e-01,
+ 5.56066176e-01, 5.39215686e-01, 5.22365196e-01,
+ 5.05514706e-01, 4.88664216e-01, 4.71813725e-01,
+ 4.54963235e-01, 4.38112745e-01, 4.21262255e-01,
+ 4.04411765e-01, 3.87561275e-01, 3.70710784e-01,
+ 3.53860294e-01, 3.37009804e-01, 3.20159314e-01,
+ 3.03308824e-01, 2.86458333e-01, 2.69607843e-01,
+ 2.52757353e-01, 2.35906863e-01, 2.19056373e-01,
+ 2.02205882e-01, 1.85355392e-01, 1.68504902e-01,
+ 1.51654412e-01, 1.34803922e-01, 1.17953431e-01,
+ 1.01102941e-01, 8.42524510e-02, 6.74019608e-02,
+ 5.05514706e-02, 3.37009804e-02, 1.68504902e-02,
+ 0.00000000e+00, 1.53186275e-03, 3.06372549e-03,
+ 4.59558824e-03, 6.12745098e-03, 7.65931373e-03,
+ 9.19117647e-03, 1.07230392e-02, 1.22549020e-02,
+ 1.37867647e-02, 1.53186275e-02, 1.68504902e-02,
+ 1.83823529e-02, 1.99142157e-02, 2.14460784e-02,
+ 2.29779412e-02, 2.45098039e-02, 2.60416667e-02,
+ 2.75735294e-02, 2.91053922e-02, 3.06372549e-02,
+ 3.21691176e-02, 3.37009804e-02, 3.52328431e-02,
+ 3.67647059e-02, 3.82965686e-02, 3.98284314e-02,
+ 4.13602941e-02, 4.28921569e-02, 4.44240196e-02,
+ 4.59558824e-02, 4.74877451e-02, 4.90196078e-02,
+ 5.05514706e-02, 5.20833333e-02, 5.36151961e-02,
+ 5.51470588e-02, 5.66789216e-02, 5.82107843e-02,
+ 5.97426471e-02, 6.12745098e-02, 6.28063725e-02,
+ 6.43382353e-02, 6.58700980e-02, 6.74019608e-02,
+ 6.89338235e-02, 7.04656863e-02, 7.19975490e-02,
+ 7.35294118e-02, 7.50612745e-02, 7.65931373e-02,
+ 7.81250000e-02, 7.73590686e-02, 7.65931373e-02,
+ 7.58272059e-02, 7.50612745e-02, 7.42953431e-02,
+ 7.35294118e-02, 7.27634804e-02, 7.19975490e-02,
+ 7.12316176e-02, 7.04656863e-02, 6.96997549e-02,
+ 6.89338235e-02, 6.81678922e-02, 6.74019608e-02,
+ 6.66360294e-02, 6.58700980e-02, 6.51041667e-02,
+ 6.43382353e-02, 6.35723039e-02, 6.28063725e-02,
+ 6.20404412e-02, 6.12745098e-02, 6.05085784e-02,
+ 5.97426471e-02, 5.89767157e-02, 5.82107843e-02,
+ 5.74448529e-02, 5.66789216e-02, 5.59129902e-02,
+ 5.51470588e-02, 5.43811275e-02, 5.36151961e-02,
+ 5.28492647e-02, 5.20833333e-02, 5.13174020e-02,
+ 5.05514706e-02, 4.97855392e-02, 4.90196078e-02,
+ 4.82536765e-02, 4.74877451e-02, 4.67218137e-02,
+ 4.59558824e-02, 4.51899510e-02, 4.44240196e-02,
+ 4.36580882e-02, 4.28921569e-02, 4.21262255e-02,
+ 4.13602941e-02, 4.05943627e-02, 3.98284314e-02,
+ 3.90625000e-02, 3.82965686e-02, 3.75306373e-02,
+ 3.67647059e-02, 3.59987745e-02, 3.52328431e-02,
+ 3.44669118e-02, 3.37009804e-02, 3.29350490e-02,
+ 3.21691176e-02, 3.14031863e-02, 3.06372549e-02,
+ 2.98713235e-02, 2.91053922e-02, 2.83394608e-02,
+ 2.75735294e-02, 2.68075980e-02, 2.60416667e-02,
+ 2.52757353e-02, 2.45098039e-02, 2.37438725e-02,
+ 2.29779412e-02, 2.22120098e-02, 2.14460784e-02,
+ 2.06801471e-02, 1.99142157e-02, 1.91482843e-02,
+ 1.83823529e-02, 1.76164216e-02, 1.68504902e-02,
+ 1.60845588e-02, 1.53186275e-02, 1.45526961e-02,
+ 1.37867647e-02, 1.30208333e-02, 1.22549020e-02,
+ 1.14889706e-02, 1.07230392e-02, 9.95710784e-03,
+ 9.19117647e-03, 8.42524510e-03, 7.65931373e-03,
+ 6.89338235e-03, 6.12745098e-03, 5.36151961e-03,
+ 4.59558824e-03, 3.82965686e-03, 3.06372549e-03,
+ 2.29779412e-03, 1.53186275e-03, 7.65931373e-04,
+ 0.00000000e+00]),
+array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1.]),
+ )
+
+### gist_stern ###
+
+color_map_luts['gist_stern'] = \
+ (
+array([ 0. , 0.06588235, 0.13176471, 0.19764706, 0.26352941,
+ 0.32941176, 0.39529412, 0.46326797, 0.53098039, 0.59686274,
+ 0.68627448, 0.79921568, 0.86509803, 0.93150326, 0.99477124,
+ 0.97647059, 0.95816995, 0.9398693 , 0.92156865, 0.90326799,
+ 0.88235296, 0.86274512, 0.84444446, 0.82614381, 0.80784316,
+ 0.78823532, 0.76732028, 0.74901963, 0.73071897, 0.71241832,
+ 0.69411767, 0.67581701, 0.63712427, 0.61568633, 0.59738568,
+ 0.57908502, 0.55843144, 0.53856215, 0.52026149, 0.50196083,
+ 0.48366016, 0.4653595 , 0.44627454, 0.42483663, 0.40653597,
+ 0.38823532, 0.36993467, 0.35163401, 0.33019611, 0.31111114,
+ 0.29281048, 0.27450983, 0.25620917, 0.22692813, 0.19607845,
+ 0.17777779, 0.15947714, 0.14117648, 0.12235296, 0.1006536 ,
+ 0.08235295, 0.06405229, 0.04575164, 0.02745098, 0.19032622,
+ 0.25359477, 0.2572549 , 0.26091503, 0.26457516, 0.2682353 ,
+ 0.27189543, 0.27555556, 0.27921569, 0.28287582, 0.28679737,
+ 0.29411764, 0.29777778, 0.30143791, 0.30509804, 0.30875817,
+ 0.3124183 , 0.31607843, 0.31973856, 0.32339869, 0.32705882,
+ 0.33071896, 0.33437909, 0.33803922, 0.34169935, 0.34535948,
+ 0.34901961, 0.35267974, 0.35633987, 0.36 , 0.36366013,
+ 0.36732026, 0.37333333, 0.37856209, 0.38222222, 0.38588235,
+ 0.38954248, 0.39320261, 0.39686275, 0.40052288, 0.40418301,
+ 0.40784314, 0.41150327, 0.4151634 , 0.41882353, 0.42248366,
+ 0.42614379, 0.42980392, 0.43346405, 0.43712418, 0.44078431,
+ 0.44444445, 0.44810458, 0.45254902, 0.45934641, 0.46300654,
+ 0.46666667, 0.4703268 , 0.47398693, 0.47764706, 0.48130719,
+ 0.48496732, 0.48862745, 0.49228758, 0.49777777, 0.50352942,
+ 0.50718956, 0.51084968, 0.51450983, 0.51816994, 0.52183009,
+ 0.5254902 , 0.52915035, 0.53281046, 0.53647061, 0.54300653,
+ 0.54771244, 0.55137256, 0.5550327 , 0.55869283, 0.56235295,
+ 0.56601309, 0.56967321, 0.57333336, 0.57699347, 0.58065362,
+ 0.58431373, 0.58797388, 0.59163399, 0.59529414, 0.59895426,
+ 0.6026144 , 0.60627452, 0.60993466, 0.61359479, 0.61725491,
+ 0.62222224, 0.62849674, 0.63215689, 0.635817 , 0.63947715,
+ 0.64313726, 0.64679741, 0.65045752, 0.65411767, 0.65777779,
+ 0.66143793, 0.66509805, 0.66875819, 0.67241832, 0.67607844,
+ 0.67973858, 0.6833987 , 0.68705885, 0.69071896, 0.69437911,
+ 0.69803922, 0.70169937, 0.70875816, 0.7129412 , 0.71660132,
+ 0.72026146, 0.72392158, 0.72758172, 0.73124185, 0.73490197,
+ 0.73856211, 0.74222223, 0.7466667 , 0.75346406, 0.75712421,
+ 0.76078431, 0.76444447, 0.76810458, 0.77176473, 0.77542485,
+ 0.77908499, 0.78274511, 0.78640524, 0.79189544, 0.79764707,
+ 0.80130721, 0.80496733, 0.80862747, 0.81228759, 0.81594774,
+ 0.81960784, 0.823268 , 0.82692811, 0.83058826, 0.83424837,
+ 0.83790852, 0.84156864, 0.84522877, 0.8488889 , 0.85254903,
+ 0.85620917, 0.85986929, 0.86352943, 0.86718955, 0.87111116,
+ 0.87843137, 0.88209153, 0.88575164, 0.88941179, 0.8930719 ,
+ 0.89673205, 0.90039217, 0.9040523 , 0.90771243, 0.91137256,
+ 0.9150327 , 0.91869282, 0.92235296, 0.92601308, 0.92967323,
+ 0.93333333, 0.93699349, 0.9406536 , 0.94431375, 0.94797386,
+ 0.95163401, 0.95764708, 0.96287583, 0.96653596, 0.97019609,
+ 0.97385623, 0.97751635, 0.98117649, 0.98483661, 0.98849676,
+ 0.99215686]),
+array([ 0. , 0.00366013, 0.00732026, 0.01098039, 0.01464052,
+ 0.01830065, 0.02196078, 0.02562092, 0.02928105, 0.03294118,
+ 0.0379085 , 0.04418301, 0.04784314, 0.05150327, 0.0551634 ,
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+ 0.09542484, 0.09908497, 0.1027451 , 0.10640523, 0.11006536,
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+ 0.13594771, 0.13960784, 0.14326797, 0.14692811, 0.15058824,
+ 0.15424837, 0.1579085 , 0.16156863, 0.16522876, 0.16888889,
+ 0.17254902, 0.17620915, 0.17986928, 0.18352941, 0.18718954,
+ 0.19084967, 0.1945098 , 0.19816994, 0.20366013, 0.20941176,
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+ 0.23137255, 0.23503268, 0.23869281, 0.24235294, 0.24888888,
+ 0.25359477, 0.2572549 , 0.26091503, 0.26457516, 0.2682353 ,
+ 0.27189543, 0.27555556, 0.27921569, 0.28287582, 0.28679737,
+ 0.29411764, 0.29777778, 0.30143791, 0.30509804, 0.30875817,
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+ 0.33071896, 0.33437909, 0.33803922, 0.34169935, 0.34535948,
+ 0.34901961, 0.35267974, 0.35633987, 0.36 , 0.36366013,
+ 0.36732026, 0.37333333, 0.37856209, 0.38222222, 0.38588235,
+ 0.38954248, 0.39320261, 0.39686275, 0.40052288, 0.40418301,
+ 0.40784314, 0.41150327, 0.4151634 , 0.41882353, 0.42248366,
+ 0.42614379, 0.42980392, 0.43346405, 0.43712418, 0.44078431,
+ 0.44444445, 0.44810458, 0.45254902, 0.45934641, 0.46300654,
+ 0.46666667, 0.4703268 , 0.47398693, 0.47764706, 0.48130719,
+ 0.48496732, 0.48862745, 0.49228758, 0.49777777, 0.50352942,
+ 0.50718956, 0.51084968, 0.51450983, 0.51816994, 0.52183009,
+ 0.5254902 , 0.52915035, 0.53281046, 0.53647061, 0.54300653,
+ 0.54771244, 0.55137256, 0.5550327 , 0.55869283, 0.56235295,
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+ 0.58431373, 0.58797388, 0.59163399, 0.59529414, 0.59895426,
+ 0.6026144 , 0.60627452, 0.60993466, 0.61359479, 0.61725491,
+ 0.62222224, 0.62849674, 0.63215689, 0.635817 , 0.63947715,
+ 0.64313726, 0.64679741, 0.65045752, 0.65411767, 0.65777779,
+ 0.66143793, 0.66509805, 0.66875819, 0.67241832, 0.67607844,
+ 0.67973858, 0.6833987 , 0.68705885, 0.69071896, 0.69437911,
+ 0.69803922, 0.70169937, 0.70875816, 0.7129412 , 0.71660132,
+ 0.72026146, 0.72392158, 0.72758172, 0.73124185, 0.73490197,
+ 0.73856211, 0.74222223, 0.7466667 , 0.75346406, 0.75712421,
+ 0.76078431, 0.76444447, 0.76810458, 0.77176473, 0.77542485,
+ 0.77908499, 0.78274511, 0.78640524, 0.79189544, 0.79764707,
+ 0.80130721, 0.80496733, 0.80862747, 0.81228759, 0.81594774,
+ 0.81960784, 0.823268 , 0.82692811, 0.83058826, 0.83424837,
+ 0.83790852, 0.84156864, 0.84522877, 0.8488889 , 0.85254903,
+ 0.85620917, 0.85986929, 0.86352943, 0.86718955, 0.87111116,
+ 0.87843137, 0.88209153, 0.88575164, 0.88941179, 0.8930719 ,
+ 0.89673205, 0.90039217, 0.9040523 , 0.90771243, 0.91137256,
+ 0.9150327 , 0.91869282, 0.92235296, 0.92601308, 0.92967323,
+ 0.93333333, 0.93699349, 0.9406536 , 0.94431375, 0.94797386,
+ 0.95163401, 0.95764708, 0.96287583, 0.96653596, 0.97019609,
+ 0.97385623, 0.97751635, 0.98117649, 0.98483661, 0.98849676,
+ 0.99215686]),
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+ 0.03267974, 0.04 , 0.04732026, 0.05464052, 0.06196078,
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+ 0.11372549, 0.12104575, 0.12836601, 0.13568628, 0.14300654,
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+ 0.50326797, 0.51058824, 0.5179085 , 0.52522876, 0.53254902,
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+ 0.5843137 , 0.59163399, 0.59895425, 0.60627451, 0.61359477,
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+ 0.65751634, 0.6648366 , 0.67215686, 0.67947713, 0.68679739,
+ 0.69411765, 0.70143791, 0.70875817, 0.71607843, 0.72339869,
+ 0.73071896, 0.74274509, 0.75320262, 0.76052288, 0.76784314,
+ 0.7751634 , 0.78248366, 0.78980392, 0.79712418, 0.80444445,
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+ 0.84836601, 0.85568628, 0.86300654, 0.8703268 , 0.87764706,
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+ 0.96601307, 0.97333333, 0.9806536 , 0.99163394, 0.99372556,
+ 0.979085 , 0.96444453, 0.94901963, 0.93124193, 0.91660131,
+ 0.90196089, 0.88732027, 0.86928116, 0.85411767, 0.82797401,
+ 0.80653599, 0.7905883 , 0.77594777, 0.76130724, 0.74509812,
+ 0.72810461, 0.71346413, 0.69882355, 0.68366025, 0.66562092,
+ 0.6509805 , 0.63633988, 0.62169944, 0.60392159, 0.58849682,
+ 0.57385625, 0.55921575, 0.54248372, 0.52601313, 0.51137262,
+ 0.49019612, 0.46248371, 0.44784313, 0.43320268, 0.41830063,
+ 0.4000001 , 0.38535946, 0.37071902, 0.35607843, 0.33856216,
+ 0.32287583, 0.30823533, 0.2935948 , 0.27712421, 0.2603922 ,
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+ 0.0732026 , 0.05725492, 0.04261438, 0.02797386, 0.01176472,
+ 0.00392158, 0.01594769, 0.03372556, 0.06091499, 0.07529416,
+ 0.08627447, 0.10091509, 0.11555552, 0.13019612, 0.14483659,
+ 0.15686277, 0.17019608, 0.18483662, 0.20679742, 0.2282353 ,
+ 0.24052291, 0.2551634 , 0.26980398, 0.28444443, 0.29882359,
+ 0.3098039 , 0.32444452, 0.33908495, 0.35372555, 0.36836601,
+ 0.38039219, 0.39372551, 0.40836604, 0.42300657, 0.43764708,
+ 0.45098043, 0.46300654, 0.47764712, 0.49228757, 0.50797404,
+ 0.53725488, 0.54823538, 0.5626144 , 0.57725499, 0.59189546,
+ 0.60653602, 0.61882357, 0.63189549, 0.64653601, 0.66117652,
+ 0.67581707, 0.68941179, 0.70117656, 0.71581701, 0.73045762,
+ 0.74509804, 0.75973867, 0.77098041, 0.78509813, 0.79973859,
+ 0.81437916, 0.83607851, 0.8554249 , 0.87006542, 0.88470593,
+ 0.89934648, 0.9129412 , 0.92470597, 0.93934642, 0.95398703,
+ 0.96862745]),
+array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1.]),
+ )
+
+### hot ###
+
+color_map_luts['hot'] = \
+ (
+array([ 0.0416 , 0.05189484, 0.06218969, 0.07248453, 0.08277938,
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+ 0.19602266, 0.2063175 , 0.21661235, 0.22690719, 0.23720204,
+ 0.24749688, 0.25779173, 0.26808657, 0.27838141, 0.28867626,
+ 0.2989711 , 0.30926595, 0.31956079, 0.32985563, 0.34015048,
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+ 0.5563422 , 0.56663705, 0.57693189, 0.58722673, 0.59752158,
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+ 0.65929064, 0.66958549, 0.67988033, 0.69017518, 0.70047002,
+ 0.71076486, 0.72105971, 0.73135455, 0.7416494 , 0.75194424,
+ 0.76223908, 0.77253393, 0.78282877, 0.79312362, 0.80341846,
+ 0.8137133 , 0.82400815, 0.83430299, 0.84459784, 0.85489268,
+ 0.86518752, 0.87548237, 0.88577721, 0.89607206, 0.9063669 ,
+ 0.91666174, 0.92695659, 0.93725143, 0.94754628, 0.95784112,
+ 0.96813596, 0.97843081, 0.98872565, 0.9990205 , 1. ,
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+ 1. , 1. , 1. , 1. , 1. , 1. ]),
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+ 0.07107927, 0.08137338, 0.09166748, 0.10196158, 0.11225568,
+ 0.12254978, 0.13284388, 0.14313798, 0.15343208, 0.16372618,
+ 0.17402028, 0.18431438, 0.19460849, 0.20490259, 0.21519669,
+ 0.22549079, 0.23578489, 0.24607899, 0.25637309, 0.26666719,
+ 0.27696129, 0.28725539, 0.29754949, 0.3078436 , 0.3181377 ,
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+ 0.74019583, 0.75048993, 0.76078404, 0.77107814, 0.78137224,
+ 0.79166634, 0.80196044, 0.81225454, 0.82254864, 0.83284274,
+ 0.84313684, 0.85343094, 0.86372504, 0.87401915, 0.88431325,
+ 0.89460735, 0.90490145, 0.91519555, 0.92548965, 0.93578375,
+ 0.94607785, 0.95637195, 0.96666605, 0.97696016, 0.98725426,
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+ 0.15073444, 0.16617564, 0.18161683, 0.19705802, 0.21249921,
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+ 0.84558808, 0.86102927, 0.87647046, 0.89191166, 0.90735285,
+ 0.92279404, 0.93823523, 0.95367642, 0.96911762, 0.98455881, 1. ]),
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+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1.]),
+ )
+
+### jet ###
+
+color_map_luts['jet'] = \
+ (
+array([ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0.00948767, 0.02213789, 0.03478811, 0.04743833, 0.06008855,
+ 0.07273877, 0.08538899, 0.09803922, 0.11068944, 0.12333966,
+ 0.13598988, 0.1486401 , 0.16129032, 0.17394054, 0.18659077,
+ 0.19924099, 0.21189121, 0.22454143, 0.23719165, 0.24984187,
+ 0.26249209, 0.27514231, 0.28779254, 0.30044276, 0.31309298,
+ 0.3257432 , 0.33839342, 0.35104364, 0.36369386, 0.37634409,
+ 0.38899431, 0.40164453, 0.41429475, 0.42694497, 0.43959519,
+ 0.45224541, 0.46489564, 0.47754586, 0.49019608, 0.5028463 ,
+ 0.51549652, 0.52814674, 0.54079696, 0.55344719, 0.56609741,
+ 0.57874763, 0.59139785, 0.60404807, 0.61669829, 0.62934851,
+ 0.64199873, 0.65464896, 0.66729918, 0.6799494 , 0.69259962,
+ 0.70524984, 0.71790006, 0.73055028, 0.74320051, 0.75585073,
+ 0.76850095, 0.78115117, 0.79380139, 0.80645161, 0.81910183,
+ 0.83175206, 0.84440228, 0.8570525 , 0.86970272, 0.88235294,
+ 0.89500316, 0.90765338, 0.92030361, 0.93295383, 0.94560405,
+ 0.95825427, 0.97090449, 0.98355471, 0.99620493, 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 0.99910873, 0.98128342, 0.96345811,
+ 0.9456328 , 0.92780749, 0.90998217, 0.89215686, 0.87433155,
+ 0.85650624, 0.83868093, 0.82085561, 0.8030303 , 0.78520499,
+ 0.76737968, 0.74955437, 0.73172906, 0.71390374, 0.69607843,
+ 0.67825312, 0.66042781, 0.6426025 , 0.62477718, 0.60695187,
+ 0.58912656, 0.57130125, 0.55347594, 0.53565062, 0.51782531,
+ 0.5 ]),
+array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 1.96078431e-03,
+ 1.76470588e-02, 3.33333333e-02, 4.90196078e-02,
+ 6.47058824e-02, 8.03921569e-02, 9.60784314e-02,
+ 1.11764706e-01, 1.27450980e-01, 1.43137255e-01,
+ 1.58823529e-01, 1.74509804e-01, 1.90196078e-01,
+ 2.05882353e-01, 2.21568627e-01, 2.37254902e-01,
+ 2.52941176e-01, 2.68627451e-01, 2.84313725e-01,
+ 3.00000000e-01, 3.15686275e-01, 3.31372549e-01,
+ 3.47058824e-01, 3.62745098e-01, 3.78431373e-01,
+ 3.94117647e-01, 4.09803922e-01, 4.25490196e-01,
+ 4.41176471e-01, 4.56862745e-01, 4.72549020e-01,
+ 4.88235294e-01, 5.03921569e-01, 5.19607843e-01,
+ 5.35294118e-01, 5.50980392e-01, 5.66666667e-01,
+ 5.82352941e-01, 5.98039216e-01, 6.13725490e-01,
+ 6.29411765e-01, 6.45098039e-01, 6.60784314e-01,
+ 6.76470588e-01, 6.92156863e-01, 7.07843137e-01,
+ 7.23529412e-01, 7.39215686e-01, 7.54901961e-01,
+ 7.70588235e-01, 7.86274510e-01, 8.01960784e-01,
+ 8.17647059e-01, 8.33333333e-01, 8.49019608e-01,
+ 8.64705882e-01, 8.80392157e-01, 8.96078431e-01,
+ 9.11764706e-01, 9.27450980e-01, 9.43137255e-01,
+ 9.58823529e-01, 9.74509804e-01, 9.90196078e-01,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
+ 1.00000000e+00, 1.00000000e+00, 9.88380537e-01,
+ 9.73856209e-01, 9.59331881e-01, 9.44807553e-01,
+ 9.30283224e-01, 9.15758896e-01, 9.01234568e-01,
+ 8.86710240e-01, 8.72185911e-01, 8.57661583e-01,
+ 8.43137255e-01, 8.28612927e-01, 8.14088598e-01,
+ 7.99564270e-01, 7.85039942e-01, 7.70515614e-01,
+ 7.55991285e-01, 7.41466957e-01, 7.26942629e-01,
+ 7.12418301e-01, 6.97893972e-01, 6.83369644e-01,
+ 6.68845316e-01, 6.54320988e-01, 6.39796659e-01,
+ 6.25272331e-01, 6.10748003e-01, 5.96223675e-01,
+ 5.81699346e-01, 5.67175018e-01, 5.52650690e-01,
+ 5.38126362e-01, 5.23602033e-01, 5.09077705e-01,
+ 4.94553377e-01, 4.80029049e-01, 4.65504720e-01,
+ 4.50980392e-01, 4.36456064e-01, 4.21931736e-01,
+ 4.07407407e-01, 3.92883079e-01, 3.78358751e-01,
+ 3.63834423e-01, 3.49310094e-01, 3.34785766e-01,
+ 3.20261438e-01, 3.05737110e-01, 2.91212781e-01,
+ 2.76688453e-01, 2.62164125e-01, 2.47639797e-01,
+ 2.33115468e-01, 2.18591140e-01, 2.04066812e-01,
+ 1.89542484e-01, 1.75018155e-01, 1.60493827e-01,
+ 1.45969499e-01, 1.31445171e-01, 1.16920842e-01,
+ 1.02396514e-01, 8.78721859e-02, 7.33478577e-02,
+ 5.88235294e-02, 4.42992012e-02, 2.97748729e-02,
+ 1.52505447e-02, 7.26216412e-04, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
+ 0.00000000e+00]),
+array([ 0.5 , 0.51782531, 0.53565062, 0.55347594, 0.57130125,
+ 0.58912656, 0.60695187, 0.62477718, 0.6426025 , 0.66042781,
+ 0.67825312, 0.69607843, 0.71390374, 0.73172906, 0.74955437,
+ 0.76737968, 0.78520499, 0.8030303 , 0.82085561, 0.83868093,
+ 0.85650624, 0.87433155, 0.89215686, 0.90998217, 0.92780749,
+ 0.9456328 , 0.96345811, 0.98128342, 0.99910873, 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 1. , 1. , 1. ,
+ 1. , 1. , 0.99620493, 0.98355471, 0.97090449,
+ 0.95825427, 0.94560405, 0.93295383, 0.92030361, 0.90765338,
+ 0.89500316, 0.88235294, 0.86970272, 0.8570525 , 0.84440228,
+ 0.83175206, 0.81910183, 0.80645161, 0.79380139, 0.78115117,
+ 0.76850095, 0.75585073, 0.74320051, 0.73055028, 0.71790006,
+ 0.70524984, 0.69259962, 0.6799494 , 0.66729918, 0.65464896,
+ 0.64199873, 0.62934851, 0.61669829, 0.60404807, 0.59139785,
+ 0.57874763, 0.56609741, 0.55344719, 0.54079696, 0.52814674,
+ 0.51549652, 0.5028463 , 0.49019608, 0.47754586, 0.46489564,
+ 0.45224541, 0.43959519, 0.42694497, 0.41429475, 0.40164453,
+ 0.38899431, 0.37634409, 0.36369386, 0.35104364, 0.33839342,
+ 0.3257432 , 0.31309298, 0.30044276, 0.28779254, 0.27514231,
+ 0.26249209, 0.24984187, 0.23719165, 0.22454143, 0.21189121,
+ 0.19924099, 0.18659077, 0.17394054, 0.16129032, 0.1486401 ,
+ 0.13598988, 0.12333966, 0.11068944, 0.09803922, 0.08538899,
+ 0.07273877, 0.06008855, 0.04743833, 0.03478811, 0.02213789,
+ 0.00948767, 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. ,
+ 0. , 0. , 0. , 0. , 0. , 0. ]),
+array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
+ 1., 1., 1., 1., 1., 1., 1., 1., 1.]),
+ )
+
Added: trunk/yt/extensions/image_writer.py
==============================================================================
--- (empty file)
+++ trunk/yt/extensions/image_writer.py Sun Apr 25 20:35:12 2010
@@ -0,0 +1,77 @@
+"""
+Author: Matthew Turk <matthewturk at gmail.com>
+Affiliation: UCSD
+License:
+ Copyright (C) 2010 Matthew Turk All Rights Reserved.
+
+ This file is part of yt.
+
+ yt is free software; you can redistribute it and/or modify
+ it under the terms of the GNU General Public License as published by
+ the Free Software Foundation; either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU General Public License for more details.
+
+ You should have received a copy of the GNU General Public License
+ along with this program. If not, see <http://www.gnu.org/licenses/>.
+"""
+
+import numpy as na
+from yt.funcs import *
+import _colormap_data as cmd
+import yt.amr_utils as au
+
+def write_image(image, filename, color_bounds = None, cmap = "algae"):
+ if color_bounds is None:
+ mi = na.nanmin(image[~na.isinf(image)])
+ ma = na.nanmax(image[~na.isinf(image)])
+ color_bounds = mi, ma
+ image = (image - color_bounds[0])/(color_bounds[1] - color_bounds[0])
+ if cmap not in cmd.color_map_luts:
+ print "Your color map was not found in the extracted colormap file."
+ raise KeyError(cmap)
+ lut = cmd.color_map_luts[cmap]
+ x = na.mgrid[0.0:1.0:lut[0].shape[0]*1j]
+ shape = image.shape
+ to_plot = na.dstack(
+ [(na.interp(image, x, v)*255) for v in lut ]).astype("uint8")
+ to_plot = to_plot.copy()
+ au.write_png(to_plot, filename)
+ return to_plot
+
+def strip_colormap_data(fn = "color_map_data.py",
+ cmaps = ("jet", "algae", "hot", "gist_stern")):
+ import yt.raven, pprint
+ import yt.raven.ColorMaps as rcm
+ f = open(fn, "w")
+ f.write("### Auto-generated colormap tables, taken from Matplotlib ###\n\n")
+ f.write("from numpy import array\n")
+ f.write("color_map_luts = {}\n\n\n")
+ if cmaps is None: cmaps = yt.raven.ColorMaps
+ for cmap_name in sorted(cmaps):
+ print "Stripping", cmap_name
+ vals = rcm._extract_lookup_table(cmap_name)
+ f.write("### %s ###\n\n" % (cmap_name))
+ f.write("color_map_luts['%s'] = \\\n" % (cmap_name))
+ f.write(" (\n")
+ for v in vals:
+ f.write(pprint.pformat(v, indent=3))
+ f.write(",\n")
+ f.write(" )\n\n")
+ f.close()
+
+def splat_points(image, points_x, points_y,
+ contribution = None, transposed = False):
+ if contribution is None:
+ contribution = 100.0
+ val = contribution * 1.0/points_x.size
+ if transposed:
+ points_y = 1.0 - points_y
+ points_x = 1.0 - points_x
+ im = image.copy()
+ au.add_points_to_image(im, points_x, points_y, val)
+ return im
Added: trunk/yt/extensions/volume_rendering/UBVRI.py
==============================================================================
--- (empty file)
+++ trunk/yt/extensions/volume_rendering/UBVRI.py Sun Apr 25 20:35:12 2010
@@ -0,0 +1,105 @@
+"""
+Johnson Filters
+
+Author: JS Oishi
+Affiliation: UC Berkeley
+Homepage: http://yt.enzotools.org/
+License:
+ Copyright (C) 2010 J.S. Oishi. All Rights Reserved.
+
+ This file is part of yt.
+
+ yt is free software; you can redistribute it and/or modify
+ it under the terms of the GNU General Public License as published by
+ the Free Software Foundation; either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU General Public License for more details.
+
+ You should have received a copy of the GNU General Public License
+ along with this program. If not, see <http://www.gnu.org/licenses/>.
+"""
+
+
+import numpy as na
+
+johnson_filters = dict(
+ B = dict(
+ wavelen = na.array([3600, 3650, 3700, 3750, 3800, 3850, 3900, 3950, 4000,
+ 4050, 4100, 4150, 4200, 4250, 4300, 4350, 4400, 4450, 4500, 4550, 4600,
+ 4650, 4700, 4750, 4800, 4850, 4900, 4950, 5000, 5050, 5100, 5150, 5200,
+ 5250, 5300, 5350, 5400, 5450, 5500, 5550], dtype='float64'),
+ trans = na.array([0.0, 0.0, 0.02, 0.05, 0.11, 0.18, 0.35, 0.55, 0.92,
+ 0.95, 0.98, 0.99, 1.0, 0.99, 0.98, 0.96, 0.94, 0.91, 0.87, 0.83, 0.79,
+ 0.74, 0.69, 0.63, 0.58, 0.52, 0.46, 0.41, 0.36, 0.3, 0.25, 0.2, 0.15,
+ 0.12, 0.09, 0.06, 0.04, 0.02, 0.01, 0.0, ], dtype='float64'),
+ ),
+ I = dict(
+ wavelen = na.array([ 6800, 6850, 6900, 6950, 7000, 7050, 7100,
+ 7150, 7200, 7250, 7300, 7350, 7400, 7450, 7500, 7550, 7600, 7650, 7700,
+ 7750, 7800, 7850, 7900, 7950, 8000, 8050, 8100, 8150, 8200, 8250, 8300,
+ 8350, 8400, 8450, 8500, 8550, 8600, 8650, 8700, 8750, 8800, 8850, 8900,
+ 8950, 9000, 9050, 9100, 9150, 9200, 9250, 9300, 9350, 9400, 9450, 9500,
+ 9550, 9600, 9650, 9700, 9750, 9800, 9850, 9900, 9950, 10000, 10050,
+ 10100, 10150, 10200, 10250, 10300, 10350, 10400, 10450, 10500, 10550,
+ 10600, 10650, 10700, 10750, 10800, 10850, 10900, 10950, 11000, 11050,
+ 11100, 11150, 11200, 11250, 11300, 11350, 11400, 11450, 11500, 11550,
+ 11600, 11650, 11700, 11750, 11800, 11850, ], dtype='float64'),
+ trans = na.array([ 0.0, 0.0, 0.01, 0.01, 0.01, 0.04, 0.08, 0.13, 0.17,
+ 0.21, 0.26, 0.3, 0.36, 0.4, 0.44, 0.49, 0.56, 0.6, 0.65, 0.72, 0.76,
+ 0.84, 0.9, 0.93, 0.96, 0.97, 0.97, 0.98, 0.98, 0.99, 0.99, 0.99, 0.99,
+ 1.0, 1.0, 1.0, 1.0, 1.0, 0.99, 0.98, 0.98, 0.97, 0.96, 0.94, 0.93, 0.9,
+ 0.88, 0.86, 0.84, 0.8, 0.76, 0.74, 0.71, 0.68, 0.65, 0.61, 0.58, 0.56,
+ 0.52, 0.5, 0.47, 0.44, 0.42, 0.39, 0.36, 0.34, 0.32, 0.3, 0.28, 0.26,
+ 0.24, 0.22, 0.2, 0.19, 0.17, 0.16, 0.15, 0.13, 0.12, 0.11, 0.1, 0.09,
+ 0.09, 0.08, 0.08, 0.07, 0.06, 0.05, 0.05, 0.04, 0.04, 0.03, 0.03, 0.02,
+ 0.02, 0.02, 0.02, 0.02, 0.01, 0.01, 0.01, 0.0, ], dtype='float64'),
+ ),
+ R = dict(
+ wavelen = na.array([ 5200, 5250, 5300, 5350, 5400, 5450, 5500, 5550, 5600,
+ 5650, 5700, 5750, 5800, 5850, 5900, 5950, 6000, 6050, 6100, 6150, 6200,
+ 6250, 6300, 6350, 6400, 6450, 6500, 6550, 6600, 6650, 6700, 6750, 6800,
+ 6850, 6900, 6950, 7000, 7050, 7100, 7150, 7200, 7250, 7300, 7350, 7400,
+ 7450, 7500, 7550, 7600, 7650, 7700, 7750, 7800, 7850, 7900, 7950, 8000,
+ 8050, 8100, 8150, 8200, 8250, 8300, 8350, 8400, 8450, 8500, 8550, 8600,
+ 8650, 8700, 8750, 8800, 8850, 8900, 8950, 9000, 9050, 9100, 9150, 9200,
+ 9250, 9300, 9350, 9400, 9450, 9500, ], dtype='float64'),
+ trans = na.array([ 0.0, 0.01, 0.02, 0.04, 0.06, 0.11, 0.18, 0.23, 0.28,
+ 0.34, 0.4, 0.46, 0.5, 0.55, 0.6, 0.64, 0.69, 0.71, 0.74, 0.77, 0.79,
+ 0.81, 0.84, 0.86, 0.88, 0.9, 0.91, 0.92, 0.94, 0.95, 0.96, 0.97, 0.98,
+ 0.99, 0.99, 1.0, 1.0, 0.99, 0.98, 0.96, 0.94, 0.92, 0.9, 0.88, 0.85,
+ 0.83, 0.8, 0.77, 0.73, 0.7, 0.66, 0.62, 0.57, 0.53, 0.49, 0.45, 0.42,
+ 0.39, 0.36, 0.34, 0.31, 0.27, 0.22, 0.19, 0.17, 0.15, 0.13, 0.12, 0.11,
+ 0.1, 0.08, 0.07, 0.06, 0.06, 0.05, 0.04, 0.04, 0.03, 0.03, 0.02, 0.02,
+ 0.02, 0.01, 0.01, 0.01, 0.01, 0.0, ], dtype='float64'),
+ ),
+ U = dict(
+ wavelen = na.array([ 3000, 3050, 3100, 3150, 3200, 3250, 3300, 3350, 3400,
+ 3450, 3500, 3550, 3600, 3650, 3700, 3750, 3800, 3850, 3900, 3950, 4000,
+ 4050, 4100, 4150, ], dtype='float64'),
+ trans = na.array([ 0.0, 0.04, 0.1, 0.25, 0.61, 0.75, 0.84, 0.88, 0.93,
+ 0.95, 0.97, 0.99, 1.0, 0.99, 0.97, 0.92, 0.73, 0.56, 0.36, 0.23, 0.05,
+ 0.03, 0.01, 0.0, ], dtype='float64'),),
+ V = dict(
+ wavelen = na.array([ 4600, 4650, 4700, 4750, 4800, 4850, 4900, 4950, 5000,
+ 5050, 5100, 5150, 5200, 5250, 5300, 5350, 5400, 5450, 5500, 5550, 5600,
+ 5650, 5700, 5750, 5800, 5850, 5900, 5950, 6000, 6050, 6100, 6150, 6200,
+ 6250, 6300, 6350, 6400, 6450, 6500, 6550, 6600, 6650, 6700, 6750, 6800,
+ 6850, 6900, 6950, 7000, 7050, 7100, 7150, 7200, 7250, 7300, 7350, ],
+ dtype='float64'),
+ trans = na.array([ 0.0, 0.0, 0.01, 0.01, 0.02, 0.05, 0.11, 0.2, 0.38,
+ 0.67, 0.78, 0.85, 0.91, 0.94, 0.96, 0.98, 0.98, 0.95, 0.87, 0.79, 0.72,
+ 0.71, 0.69, 0.65, 0.62, 0.58, 0.52, 0.46, 0.4, 0.34, 0.29, 0.24, 0.2,
+ 0.17, 0.14, 0.11, 0.08, 0.06, 0.05, 0.03, 0.02, 0.02, 0.01, 0.01, 0.01,
+ 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.0, ],
+ dtype='float64'),
+ ),
+ )
+
+for filter, vals in johnson_filters.items():
+ wavelen = vals["wavelen"]
+ trans = vals["trans"]
+ vals["Lchar"] = wavelen[na.argmax(trans)]
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