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' : [7.861803e+00, 4.627174e+00, 2.616057e+00, 5.934057e-01, 1.511534e-01],
     '_Analysis.yoda.gz' : [5.165853e+00, 3.954807e+00, 1.377775e+00, 5.628680e-01, 3.911918e-02],
    '__Analysis.yoda.gz' : [9.376916e+00, 2.665205e+00, 1.052359e+00, 1.423036e-01, 8.015497e-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' : [
                              [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' : [
                              [1.738613e+00, 8.938623e-01, 6.550964e-01, 2.690705e-01, 7.236283e-02],
                              [1.738613e+00, 8.938623e-01, 6.550964e-01, 2.690705e-01, 7.236283e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.424976e+00, 9.585006e-01, 5.103127e-01, 4.372447e-01, 5.927032e-02],
                              [2.424976e+00, 9.585006e-01, 5.103127e-01, 4.372447e-01, 5.927032e-02],
                           ],
}

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' : [2.006586e+00, 1.204993e+00, 1.314602e+00, 7.325996e-01, 1.337641e+00],
     '_Analysis.yoda.gz' : [1.318492e+00, 1.029898e+00, 6.923492e-01, 6.948988e-01, 3.461874e-01],
    '__Analysis.yoda.gz' : [2.393291e+00, 6.940638e-01, 5.288236e-01, 1.756835e-01, 7.093360e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.917217e-01, 1.435094e-01, 1.243320e-01, 1.417605e-01, 1.440604e-01],
                              [2.624832e-01, 2.304830e-01, 1.528308e-01, 1.608022e-01, 1.565647e-01],
                           ],
      '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' : [
                              [4.437501e-01, 2.327766e-01, 3.291942e-01, 3.321858e-01, 6.403790e-01],
                              [4.437501e-01, 2.327766e-01, 3.291942e-01, 3.321858e-01, 6.403790e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [6.189321e-01, 2.496095e-01, 2.564385e-01, 5.398083e-01, 5.245161e-01],
                              [6.189321e-01, 2.496095e-01, 2.564385e-01, 5.398083e-01, 5.245161e-01],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}