import numpy as np
from numpy import nan, inf

add_legend_handle = [
  'Data',
  'Analysis.yoda.gz',
  '_Analysis.yoda.gz',
  '__Analysis.yoda.gz'
]

xpoints = {
                  'Data' : [7.500000e+00, 1.500000e+01, 3.000000e+01, 6.000000e+01, 5.400000e+02],
      'Analysis.yoda.gz' : [7.500000e+00, 1.500000e+01, 3.000000e+01, 6.000000e+01, 5.400000e+02],
     '_Analysis.yoda.gz' : [7.500000e+00, 1.500000e+01, 3.000000e+01, 6.000000e+01, 5.400000e+02],
    '__Analysis.yoda.gz' : [7.500000e+00, 1.500000e+01, 3.000000e+01, 6.000000e+01, 5.400000e+02],
}

xedges = {
                  'Data' : [5.000000e+00, 1.000000e+01, 2.000000e+01, 4.000000e+01, 8.000000e+01,
                            1.000000e+03],
      'Analysis.yoda.gz' : [5.000000e+00, 1.000000e+01, 2.000000e+01, 4.000000e+01, 8.000000e+01,
                            1.000000e+03],
     '_Analysis.yoda.gz' : [5.000000e+00, 1.000000e+01, 2.000000e+01, 4.000000e+01, 8.000000e+01,
                            1.000000e+03],
    '__Analysis.yoda.gz' : [5.000000e+00, 1.000000e+01, 2.000000e+01, 4.000000e+01, 8.000000e+01,
                            1.000000e+03],
}

ref_xerrs = [
  [abs(xpoints['Data'][i]   - xedges['Data'][i]) for i in range(len(xpoints['Data']))],
  [abs(xedges['Data'][i+1] - xpoints['Data'][i]) for i in range(len(xpoints['Data']))]
]

yvals = {
                  'Data' : [5.200000e-01, 2.300000e-01, 6.700000e-02, 2.100000e-02, 1.000000e-03],
      'Analysis.yoda.gz' : [5.778749e-01, 2.609510e-01, 7.304703e-02, 2.175566e-02, 6.590507e-04],
     '_Analysis.yoda.gz' : [6.286608e-01, 2.093226e-01, 7.567369e-02, 2.220605e-02, 7.183457e-04],
    '__Analysis.yoda.gz' : [2.843349e-01, 1.262079e-01, 4.328011e-02, 1.411044e-02, 4.566619e-04],
}

xerrs = {
                  'Data' : [
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                           ],
      'Analysis.yoda.gz' : [
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                           ],
}

yerrs = {
                  'Data' : [
                              [8.062258e-02, 2.828427e-02, 1.131371e-02, 4.242641e-03, 3.605551e-04],
                              [1.063015e-01, 2.828427e-02, 1.063015e-02, 4.242641e-03, 4.242641e-04],
                           ],
      'Analysis.yoda.gz' : [
                              [3.284466e-02, 1.271557e-02, 4.694737e-03, 1.468872e-03, 3.741766e-05],
                              [3.284466e-02, 1.271557e-02, 4.694737e-03, 1.468872e-03, 3.741766e-05],
                           ],
     '_Analysis.yoda.gz' : [
                              [3.498209e-02, 1.338210e-02, 4.650115e-03, 1.566649e-03, 4.187699e-05],
                              [3.498209e-02, 1.338210e-02, 4.650115e-03, 1.566649e-03, 4.187699e-05],
                           ],
    '__Analysis.yoda.gz' : [
                              [7.537560e-03, 3.852757e-03, 1.506841e-03, 5.628639e-04, 1.662967e-05],
                              [7.537560e-03, 3.852757e-03, 1.506841e-03, 5.628639e-04, 1.662967e-05],
                           ],
}

variation_yvals = {
}



# lists for ratio plot
ratio0_yvals = {
                  'Data' : [1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00],
      'Analysis.yoda.gz' : [1.111298e+00, 1.134570e+00, 1.090254e+00, 1.035984e+00, 6.590507e-01],
     '_Analysis.yoda.gz' : [1.208963e+00, 9.100983e-01, 1.129458e+00, 1.057431e+00, 7.183457e-01],
    '__Analysis.yoda.gz' : [5.467979e-01, 5.487300e-01, 6.459718e-01, 6.719257e-01, 4.566619e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.550434e-01, 1.229751e-01, 1.688613e-01, 2.020305e-01, 3.605551e-01],
                              [2.044259e-01, 1.229751e-01, 1.586589e-01, 2.020305e-01, 4.242641e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [6.316281e-02, 5.528509e-02, 7.007070e-02, 6.994629e-02, 3.741766e-02],
                              [6.316281e-02, 5.528509e-02, 7.007070e-02, 6.994629e-02, 3.741766e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [6.727325e-02, 5.818304e-02, 6.940470e-02, 7.460233e-02, 4.187699e-02],
                              [6.727325e-02, 5.818304e-02, 6.940470e-02, 7.460233e-02, 4.187699e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.449531e-02, 1.675112e-02, 2.249016e-02, 2.680304e-02, 1.662967e-02],
                              [1.449531e-02, 1.675112e-02, 2.249016e-02, 2.680304e-02, 1.662967e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}