import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [1.950000e+00, 2.750000e+00, 3.550000e+00, 5.000000e+00, 1.050000e+01],
      'Analysis.yoda.gz' : [1.950000e+00, 2.750000e+00, 3.550000e+00, 5.000000e+00, 1.050000e+01],
     '_Analysis.yoda.gz' : [1.950000e+00, 2.750000e+00, 3.550000e+00, 5.000000e+00, 1.050000e+01],
    '__Analysis.yoda.gz' : [1.950000e+00, 2.750000e+00, 3.550000e+00, 5.000000e+00, 1.050000e+01],
}

xedges = {
                  'Data' : [1.500000e+00, 2.400000e+00, 3.100000e+00, 4.000000e+00, 6.000000e+00,
                            1.500000e+01],
      'Analysis.yoda.gz' : [1.500000e+00, 2.400000e+00, 3.100000e+00, 4.000000e+00, 6.000000e+00,
                            1.500000e+01],
     '_Analysis.yoda.gz' : [1.500000e+00, 2.400000e+00, 3.100000e+00, 4.000000e+00, 6.000000e+00,
                            1.500000e+01],
    '__Analysis.yoda.gz' : [1.500000e+00, 2.400000e+00, 3.100000e+00, 4.000000e+00, 6.000000e+00,
                            1.500000e+01],
}

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' : [2.900000e+00, 2.490000e+00, 1.350000e+00, 5.300000e-01, 5.800000e-02],
      'Analysis.yoda.gz' : [4.013142e+00, 3.009737e+00, 1.729107e+00, 5.828896e-01, 6.309429e-02],
     '_Analysis.yoda.gz' : [4.365639e+00, 2.471503e+00, 1.685840e+00, 5.962114e-01, 3.821541e-02],
    '__Analysis.yoda.gz' : [2.143441e+00, 1.437407e+00, 8.687184e-01, 3.295615e-01, 2.928368e-02],
}

xerrs = {
                  'Data' : [
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                           ],
      'Analysis.yoda.gz' : [
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                           ],
     '_Analysis.yoda.gz' : [
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                           ],
}

yerrs = {
                  'Data' : [
                              [5.197115e-01, 4.455334e-01, 2.267157e-01, 5.385165e-02, 1.140175e-02],
                              [5.197115e-01, 4.244997e-01, 2.051828e-01, 5.830952e-02, 1.389244e-02],
                           ],
      'Analysis.yoda.gz' : [
                              [3.036436e-01, 2.747380e-01, 1.395858e-01, 6.377064e-02, 6.491637e-03],
                              [3.036436e-01, 2.747380e-01, 1.395858e-01, 6.377064e-02, 6.491637e-03],
                           ],
     '_Analysis.yoda.gz' : [
                              [3.377491e-01, 3.656341e-01, 2.139038e-01, 7.628717e-02, 6.253502e-03],
                              [3.377491e-01, 3.656341e-01, 2.139038e-01, 7.628717e-02, 6.253502e-03],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.606056e-02, 1.480499e-02, 9.901118e-03, 3.807760e-03, 4.313268e-04],
                              [1.606056e-02, 1.480499e-02, 9.901118e-03, 3.807760e-03, 4.313268e-04],
                           ],
}

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' : [1.383842e+00, 1.208730e+00, 1.280820e+00, 1.099792e+00, 1.087833e+00],
     '_Analysis.yoda.gz' : [1.505393e+00, 9.925715e-01, 1.248770e+00, 1.124927e+00, 6.588864e-01],
    '__Analysis.yoda.gz' : [7.391176e-01, 5.772719e-01, 6.434951e-01, 6.218142e-01, 5.048910e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.792109e-01, 1.789291e-01, 1.679376e-01, 1.016069e-01, 1.965819e-01],
                              [1.792109e-01, 1.704818e-01, 1.519873e-01, 1.100180e-01, 2.395248e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [1.047047e-01, 1.103365e-01, 1.033969e-01, 1.203220e-01, 1.119248e-01],
                              [1.047047e-01, 1.103365e-01, 1.033969e-01, 1.203220e-01, 1.119248e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.164652e-01, 1.468410e-01, 1.584473e-01, 1.439381e-01, 1.078190e-01],
                              [1.164652e-01, 1.468410e-01, 1.584473e-01, 1.439381e-01, 1.078190e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [5.538124e-03, 5.945779e-03, 7.334161e-03, 7.184453e-03, 7.436669e-03],
                              [5.538124e-03, 5.945779e-03, 7.334161e-03, 7.184453e-03, 7.436669e-03],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}