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' : [7.591936e-01, 2.076749e-01, 8.604644e-02, 1.872779e-02, 7.235985e-04],
     '_Analysis.yoda.gz' : [5.611535e-01, 2.722776e-01, 7.340870e-02, 2.442349e-02, 8.033562e-04],
    '__Analysis.yoda.gz' : [2.969905e-01, 1.284479e-01, 4.492121e-02, 1.348666e-02, 4.700891e-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' : [
                              [5.263669e-02, 2.071668e-02, 7.819222e-03, 2.199713e-03, 5.697931e-05],
                              [5.263669e-02, 2.071668e-02, 7.819222e-03, 2.199713e-03, 5.697931e-05],
                           ],
     '_Analysis.yoda.gz' : [
                              [6.615376e-02, 2.563073e-02, 9.046446e-03, 2.374254e-03, 7.339575e-05],
                              [6.615376e-02, 2.563073e-02, 9.046446e-03, 2.374254e-03, 7.339575e-05],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.472445e-03, 1.218529e-03, 4.865006e-04, 1.721179e-04, 5.481100e-06],
                              [2.472445e-03, 1.218529e-03, 4.865006e-04, 1.721179e-04, 5.481100e-06],
                           ],
}

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' : [1.459988e+00, 9.029343e-01, 1.284275e+00, 8.917995e-01, 7.235985e-01],
     '_Analysis.yoda.gz' : [1.079141e+00, 1.183816e+00, 1.095652e+00, 1.163023e+00, 8.033562e-01],
    '__Analysis.yoda.gz' : [5.711356e-01, 5.584691e-01, 6.704658e-01, 6.422219e-01, 4.700891e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.550434e-01, 1.229751e-01, 1.688613e-01, 2.020305e-01, 3.605551e-01],
                              [2.044260e-01, 1.229751e-01, 1.586590e-01, 2.020305e-01, 4.242641e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [1.012244e-01, 9.007252e-02, 1.167048e-01, 1.047482e-01, 5.697931e-02],
                              [1.012244e-01, 9.007252e-02, 1.167048e-01, 1.047482e-01, 5.697931e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.272188e-01, 1.114380e-01, 1.350216e-01, 1.130597e-01, 7.339575e-02],
                              [1.272188e-01, 1.114380e-01, 1.350216e-01, 1.130597e-01, 7.339575e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [4.754702e-03, 5.297952e-03, 7.261203e-03, 8.196090e-03, 5.481100e-03],
                              [4.754702e-03, 5.297952e-03, 7.261203e-03, 8.196090e-03, 5.481100e-03],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}