import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [1.750000e+00, 2.250000e+00, 3.000000e+00, 4.250000e+00, 7.500000e+00],
      'Analysis.yoda.gz' : [1.750000e+00, 2.250000e+00, 3.000000e+00, 4.250000e+00, 7.500000e+00],
     '_Analysis.yoda.gz' : [1.750000e+00, 2.250000e+00, 3.000000e+00, 4.250000e+00, 7.500000e+00],
    '__Analysis.yoda.gz' : [1.750000e+00, 2.250000e+00, 3.000000e+00, 4.250000e+00, 7.500000e+00],
}

xedges = {
                  'Data' : [1.500000e+00, 2.000000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00,
                            1.000000e+01],
      'Analysis.yoda.gz' : [1.500000e+00, 2.000000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00,
                            1.000000e+01],
     '_Analysis.yoda.gz' : [1.500000e+00, 2.000000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00,
                            1.000000e+01],
    '__Analysis.yoda.gz' : [1.500000e+00, 2.000000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00,
                            1.000000e+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' : [3.918000e+00, 3.840000e+00, 1.990000e+00, 8.100000e-01, 1.130000e-01],
      'Analysis.yoda.gz' : [6.700039e+00, 4.761143e+00, 2.845258e+00, 1.031675e+00, 1.612591e-01],
     '_Analysis.yoda.gz' : [7.861803e+00, 4.627174e+00, 2.616057e+00, 5.934057e-01, 1.511534e-01],
    '__Analysis.yoda.gz' : [3.318714e+00, 2.416034e+00, 1.441904e+00, 5.555222e-01, 7.853336e-02],
}

xerrs = {
                  'Data' : [
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                           ],
      'Analysis.yoda.gz' : [
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                           ],
}

yerrs = {
                  'Data' : [
                              [7.511658e-01, 5.510762e-01, 2.474207e-01, 1.148260e-01, 1.627882e-02],
                              [1.028409e+00, 8.850548e-01, 3.041332e-01, 1.302498e-01, 1.769181e-02],
                           ],
      'Analysis.yoda.gz' : [
                              [2.951335e-01, 2.345004e-01, 1.421188e-01, 7.176612e-02, 9.660770e-03],
                              [2.951335e-01, 2.345004e-01, 1.421188e-01, 7.176612e-02, 9.660770e-03],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.665078e+00, 1.048914e+00, 4.507270e-01, 1.602052e-01, 3.531759e-02],
                              [1.665078e+00, 1.048914e+00, 4.507270e-01, 1.602052e-01, 3.531759e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.487671e-02, 2.114742e-02, 1.135989e-02, 5.491543e-03, 9.939003e-04],
                              [2.487671e-02, 2.114742e-02, 1.135989e-02, 5.491543e-03, 9.939003e-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' : [1.710066e+00, 1.239881e+00, 1.429778e+00, 1.273673e+00, 1.427072e+00],
     '_Analysis.yoda.gz' : [2.006586e+00, 1.204993e+00, 1.314602e+00, 7.325996e-01, 1.337641e+00],
    '__Analysis.yoda.gz' : [8.470429e-01, 6.291755e-01, 7.245749e-01, 6.858299e-01, 6.949855e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.917217e-01, 1.435094e-01, 1.243320e-01, 1.417604e-01, 1.440604e-01],
                              [2.624833e-01, 2.304830e-01, 1.528308e-01, 1.608022e-01, 1.565647e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [7.532759e-02, 6.106781e-02, 7.141648e-02, 8.860015e-02, 8.549354e-02],
                              [7.532759e-02, 6.106781e-02, 7.141648e-02, 8.860015e-02, 8.549354e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [4.249816e-01, 2.731547e-01, 2.264960e-01, 1.977842e-01, 3.125450e-01],
                              [4.249816e-01, 2.731547e-01, 2.264960e-01, 1.977842e-01, 3.125450e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [6.349339e-03, 5.507141e-03, 5.708487e-03, 6.779683e-03, 8.795578e-03],
                              [6.349339e-03, 5.507141e-03, 5.708487e-03, 6.779683e-03, 8.795578e-03],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}