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' : [7.587085e-01, 1.722099e+00, 1.635827e+00, 8.026229e-01, 1.359467e-01],
     '_Analysis.yoda.gz' : [8.637505e-01, 1.526074e+00, 1.726928e+00, 8.364816e-01, 1.096319e-01],
    '__Analysis.yoda.gz' : [3.869062e-01, 8.540799e-01, 8.231523e-01, 4.392776e-01, 6.376671e-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' : [
                              [1.090920e-01, 1.951809e-01, 1.180856e-01, 6.426347e-02, 1.224005e-02],
                              [1.090920e-01, 1.951809e-01, 1.180856e-01, 6.426347e-02, 1.224005e-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' : [
                              [2.704029e-02, 4.076417e-02, 2.920133e-02, 1.683406e-02, 3.103353e-03],
                              [2.704029e-02, 4.076417e-02, 2.920133e-02, 1.683406e-02, 3.103353e-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' : [1.185482e+00, 1.171496e+00, 1.363189e+00, 1.234804e+00, 1.461792e+00],
     '_Analysis.yoda.gz' : [1.349610e+00, 1.038146e+00, 1.439107e+00, 1.286895e+00, 1.178838e+00],
    '__Analysis.yoda.gz' : [6.045409e-01, 5.810067e-01, 6.859602e-01, 6.758117e-01, 6.856635e-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' : [
                              [1.704562e-01, 1.327761e-01, 9.840467e-02, 9.886688e-02, 1.316134e-01],
                              [1.704562e-01, 1.327761e-01, 9.840467e-02, 9.886688e-02, 1.316134e-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' : [
                              [4.225045e-02, 2.773073e-02, 2.433444e-02, 2.589855e-02, 3.336939e-02],
                              [4.225045e-02, 2.773073e-02, 2.433444e-02, 2.589855e-02, 3.336939e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}