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' : [3.956344e+00, 2.778253e+00, 1.441941e+00, 5.273389e-01, 4.902349e-02],
     '_Analysis.yoda.gz' : [4.295635e+00, 2.796638e-01, 1.695546e+00, 7.001768e-01, 6.397069e-02],
    '__Analysis.yoda.gz' : [2.370644e+00, 1.267305e+00, 1.138679e+00, 5.189609e-01, 4.093657e-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' : [
                              [2.000960e-01, 1.642245e-01, 1.036227e-01, 4.133278e-02, 4.135261e-03],
                              [2.000960e-01, 1.642245e-01, 1.036227e-01, 4.133278e-02, 4.135261e-03],
                           ],
     '_Analysis.yoda.gz' : [
                              [4.883262e-01, 1.662690e+00, 8.416204e-01, 1.550842e-01, 1.525247e-02],
                              [4.883262e-01, 1.662690e+00, 8.416204e-01, 1.550842e-01, 1.525247e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.119437e+00, 6.478078e-01, 2.820155e-01, 5.777903e-02, 6.229615e-03],
                              [1.119437e+00, 6.478078e-01, 2.820155e-01, 5.777903e-02, 6.229615e-03],
                           ],
}

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' : [1.364257e+00, 1.115764e+00, 1.068104e+00, 9.949791e-01, 8.452326e-01],
     '_Analysis.yoda.gz' : [1.481253e+00, 1.123148e-01, 1.255960e+00, 1.321088e+00, 1.102943e+00],
    '__Analysis.yoda.gz' : [8.174634e-01, 5.089578e-01, 8.434659e-01, 9.791715e-01, 7.058029e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.792108e-01, 1.789291e-01, 1.679375e-01, 1.016069e-01, 1.965820e-01],
                              [1.792108e-01, 1.704818e-01, 1.519873e-01, 1.100180e-01, 2.395249e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [6.899862e-02, 6.595361e-02, 7.675756e-02, 7.798638e-02, 7.129760e-02],
                              [6.899862e-02, 6.595361e-02, 7.675756e-02, 7.798638e-02, 7.129760e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.683883e-01, 6.677470e-01, 6.234225e-01, 2.926117e-01, 2.629736e-01],
                              [1.683883e-01, 6.677470e-01, 6.234225e-01, 2.926117e-01, 2.629736e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [3.860128e-01, 2.601638e-01, 2.089004e-01, 1.090170e-01, 1.074072e-01],
                              [3.860128e-01, 2.601638e-01, 2.089004e-01, 1.090170e-01, 1.074072e-01],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}