import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [1.500000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00, 8.000000e+00],
      'Analysis.yoda.gz' : [1.500000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00, 8.000000e+00],
     '_Analysis.yoda.gz' : [1.500000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00, 8.000000e+00],
    '__Analysis.yoda.gz' : [1.500000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00, 8.000000e+00],
}

xedges = {
                  'Data' : [1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00, 6.000000e+00,
                            1.000000e+01],
      'Analysis.yoda.gz' : [1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00, 6.000000e+00,
                            1.000000e+01],
     '_Analysis.yoda.gz' : [1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00, 6.000000e+00,
                            1.000000e+01],
    '__Analysis.yoda.gz' : [1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00, 6.000000e+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' : [4.000000e+00, 1.800000e+00, 8.600000e-01, 2.700000e-01, 2.200000e-02],
      'Analysis.yoda.gz' : [2.946041e+00, 2.062075e+00, 1.062929e+00, 4.132434e-01, 7.805478e-02],
     '_Analysis.yoda.gz' : [3.499797e+00, 2.307655e+00, 1.141740e+00, 1.844706e-01, 6.220241e-02],
    '__Analysis.yoda.gz' : [1.598300e+00, 1.097585e+00, 6.161782e-01, 2.449948e-01, 3.980288e-02],
}

xerrs = {
                  'Data' : [
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                           ],
      'Analysis.yoda.gz' : [
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                           ],
     '_Analysis.yoda.gz' : [
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                           ],
}

yerrs = {
                  'Data' : [
                              [1.340224e+00, 5.244044e-01, 2.460813e-01, 8.322259e-02, 1.340634e-02],
                              [1.385821e+00, 5.481788e-01, 2.556482e-01, 8.679862e-02, 1.351962e-02],
                           ],
      'Analysis.yoda.gz' : [
                              [1.062829e-01, 9.049267e-02, 6.533635e-02, 2.853807e-02, 6.236721e-03],
                              [1.062829e-01, 9.049267e-02, 6.533635e-02, 2.853807e-02, 6.236721e-03],
                           ],
     '_Analysis.yoda.gz' : [
                              [4.894805e-01, 3.512747e-01, 2.257851e-01, 7.121974e-02, 2.516020e-02],
                              [4.894805e-01, 3.512747e-01, 2.257851e-01, 7.121974e-02, 2.516020e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.255399e-02, 1.011509e-02, 7.395958e-03, 3.182005e-03, 8.039392e-04],
                              [1.255399e-02, 1.011509e-02, 7.395958e-03, 3.182005e-03, 8.039392e-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' : [7.365103e-01, 1.145597e+00, 1.235964e+00, 1.530531e+00, 3.547945e+00],
     '_Analysis.yoda.gz' : [8.749493e-01, 1.282031e+00, 1.327605e+00, 6.832244e-01, 2.827382e+00],
    '__Analysis.yoda.gz' : [3.995750e-01, 6.097694e-01, 7.164863e-01, 9.073881e-01, 1.809222e+00],
}

ratio0_yerrs = {
                  'Data' : [
                              [3.350560e-01, 2.913358e-01, 2.861410e-01, 3.082318e-01, 6.093791e-01],
                              [3.464552e-01, 3.045438e-01, 2.972653e-01, 3.214764e-01, 6.145282e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [2.657072e-02, 5.027371e-02, 7.597250e-02, 1.056966e-01, 2.834873e-01],
                              [2.657072e-02, 5.027371e-02, 7.597250e-02, 1.056966e-01, 2.834873e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.223701e-01, 1.951526e-01, 2.625408e-01, 2.637768e-01, 1.143645e+00],
                              [1.223701e-01, 1.951526e-01, 2.625408e-01, 2.637768e-01, 1.143645e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [3.138497e-03, 5.619494e-03, 8.599951e-03, 1.178520e-02, 3.654269e-02],
                              [3.138497e-03, 5.619494e-03, 8.599951e-03, 1.178520e-02, 3.654269e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}