"""Data useful for calibrations (Smith-Pokorny cone fundamentals etc...)
"""
import numpy
wavelength_5nm = numpy.arange(380,785,5)#380 to 780 inclusive with 5nm steps
juddVosXYZ1976_5nm= numpy.asarray([
[0.003,0.005,0.011,0.021,0.038,0.063,0.100,0.158,0.229,0.281,0.311,0.331,0.333,0.317,0.289,0.260,0.233,0.210,0.175,0.133,0.092,0.057,0.032,0.015,0.005,0.002,0.009,0.029,0.064,0.111,0.167,0.228,0.293,0.362,0.436,0.515,0.597,0.681,0.764,0.844,0.916,0.977,1.023,1.051,1.055,1.036,0.992,0.929,0.843,0.740,0.633,0.534,0.441,0.355,0.279,0.215,0.162,0.118,0.086,0.063,0.046,0.032,0.022,0.016,0.011,0.008,0.006,0.004,0.003,0.002,0.001,0.001,0.001,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000],
[0.000,0.000,0.001,0.002,0.003,0.005,0.007,0.012,0.018,0.023,0.027,0.033,0.038,0.042,0.047,0.052,0.060,0.073,0.091,0.113,0.139,0.170,0.208,0.258,0.323,0.405,0.503,0.608,0.710,0.795,0.862,0.915,0.954,0.980,0.995,1.000,0.995,0.979,0.952,0.916,0.870,0.816,0.757,0.695,0.631,0.567,0.503,0.442,0.381,0.321,0.265,0.217,0.175,0.138,0.107,0.082,0.061,0.044,0.032,0.023,0.017,0.012,0.008,0.006,0.004,0.003,0.002,0.001,0.001,0.001,0.001,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000],
[0.012,0.024,0.049,0.095,0.174,0.290,0.461,0.732,1.066,1.315,1.467,1.580,1.617,1.568,1.472,1.374,1.292,1.236,1.114,0.942,0.756,0.586,0.447,0.341,0.264,0.206,0.154,0.109,0.077,0.056,0.041,0.029,0.020,0.013,0.009,0.006,0.004,0.003,0.002,0.002,0.002,0.002,0.001,0.001,0.001,0.001,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000],
])
cones_SmithPokorny=numpy.asarray([
[0.000000,0.000000,0.000000,0.000000,0.002660,0.004380,0.006890,0.010800,0.015800,0.020000,0.023300,0.026800,0.030100,0.032400,0.034300,0.036800,0.041200,0.050200,0.062700,0.079800,0.102000,0.128000,0.162000,0.206000,0.263000,0.337000,0.423000,0.520000,0.617000,0.700000,0.773000,0.834000,0.883000,0.923000,0.954000,0.977000,0.993000,1.000000,0.997000,0.986000,0.965000,0.934000,0.894000,0.848000,0.795000,0.735000,0.670000,0.602000,0.530000,0.454000,0.380000,0.315000,0.256000,0.204000,0.159000,0.122000,0.091400,0.067000,0.048200,0.035000,0.025700,0.018000,0.012400,0.008660,0.006210,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000],
[0.000000,0.000000,0.000000,0.000000,0.002820,0.004750,0.007670,0.012400,0.018900,0.025400,0.031700,0.039500,0.047700,0.055500,0.063500,0.073100,0.086000,0.107000,0.130000,0.157000,0.189000,0.224000,0.267000,0.324000,0.396000,0.491000,0.595000,0.706000,0.808000,0.884000,0.941000,0.978000,0.997000,0.999000,0.987000,0.961000,0.922000,0.870000,0.806000,0.732000,0.651000,0.564000,0.477000,0.393000,0.318000,0.250000,0.193000,0.147000,0.110000,0.080800,0.058300,0.041800,0.029600,0.020700,0.014400,0.010100,0.006990,0.004850,0.003330,0.002330,0.001640,0.001110,0.000750,0.000517,0.000368,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000],
[0.000000,0.000000,0.000000,0.000000,0.108000,0.179000,0.285000,0.453000,0.659000,0.813000,0.908000,0.977000,1.000000,0.970000,0.910000,0.850000,0.799000,0.775000,0.689000,0.582000,0.468000,0.362000,0.276000,0.212000,0.164000,0.128000,0.095600,0.067600,0.047400,0.034700,0.025600,0.018200,0.012400,0.008260,0.005450,0.003650,0.002530,0.001840,0.001440,0.001260,0.001160,0.001000,0.000812,0.000741,0.000610,0.000479,0.000312,0.000240,0.000198,0.000132,0.000090,0.000068,0.000053,0.000038,0.000025,0.000019,0.000014,0.000010,0.000008,0.000005,0.000004,0.000003,0.000002,0.000001,0.000001,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000],
])
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