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' : [6.400000e-01, 1.470000e+00, 1.200000e+00, 6.500000e-01, 9.300000e-02],
      'Analysis.yoda.gz' : [8.637505e-01, 1.526074e+00, 1.726928e+00, 8.364816e-01, 1.096319e-01],
     '_Analysis.yoda.gz' : [2.348426e-01, 8.751462e-01, 1.151947e+00, 5.913551e-02, 6.991631e-02],
    '__Analysis.yoda.gz' : [3.488993e-01, 1.961592e-01, 5.538621e-01, 2.666137e-01, -2.575098e-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' : [
                              [1.208305e-01, 2.163331e-01, 1.523155e-01, 7.615773e-02, 1.140175e-02],
                              [2.370654e-01, 1.627882e-01, 1.081665e-01, 5.830952e-02, 1.140175e-02],
                           ],
      'Analysis.yoda.gz' : [
                              [1.277670e-01, 1.929165e-01, 1.288686e-01, 7.000027e-02, 1.299259e-02],
                              [1.277670e-01, 1.929165e-01, 1.288686e-01, 7.000027e-02, 1.299259e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [6.869312e-01, 9.151175e-01, 2.851671e-01, 2.650939e-01, 3.305280e-02],
                              [6.869312e-01, 9.151175e-01, 2.851671e-01, 2.650939e-01, 3.305280e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.777516e-01, 4.084319e-01, 5.341143e-01, 1.970414e-01, 4.921779e-02],
                              [1.777516e-01, 4.084319e-01, 5.341143e-01, 1.970414e-01, 4.921779e-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' : [1.349610e+00, 1.038146e+00, 1.439107e+00, 1.286895e+00, 1.178838e+00],
     '_Analysis.yoda.gz' : [3.669416e-01, 5.953376e-01, 9.599558e-01, 9.097771e-02, 7.517883e-01],
    '__Analysis.yoda.gz' : [5.451552e-01, 1.334416e-01, 4.615518e-01, 4.101749e-01, -2.768923e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.887976e-01, 1.471654e-01, 1.269296e-01, 1.171657e-01, 1.225995e-01],
                              [3.704147e-01, 1.107403e-01, 9.013878e-02, 8.970695e-02, 1.225995e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [1.996359e-01, 1.312357e-01, 1.073905e-01, 1.076927e-01, 1.397053e-01],
                              [1.996359e-01, 1.312357e-01, 1.073905e-01, 1.076927e-01, 1.397053e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.073330e+00, 6.225289e-01, 2.376393e-01, 4.078368e-01, 3.554065e-01],
                              [1.073330e+00, 6.225289e-01, 2.376393e-01, 4.078368e-01, 3.554065e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.777369e-01, 2.778448e-01, 4.450953e-01, 3.031406e-01, 5.292235e-01],
                              [2.777369e-01, 2.778448e-01, 4.450953e-01, 3.031406e-01, 5.292235e-01],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}