import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [9.000000e+01, 1.300000e+02, 1.700000e+02, 2.100000e+02, 2.500000e+02],
      'Analysis.yoda.gz' : [9.000000e+01, 1.300000e+02, 1.700000e+02, 2.100000e+02, 2.500000e+02],
     '_Analysis.yoda.gz' : [9.000000e+01, 1.300000e+02, 1.700000e+02, 2.100000e+02, 2.500000e+02],
    '__Analysis.yoda.gz' : [9.000000e+01, 1.300000e+02, 1.700000e+02, 2.100000e+02, 2.500000e+02],
}

xedges = {
                  'Data' : [7.000000e+01, 1.100000e+02, 1.500000e+02, 1.900000e+02, 2.300000e+02,
                            2.700000e+02],
      'Analysis.yoda.gz' : [7.000000e+01, 1.100000e+02, 1.500000e+02, 1.900000e+02, 2.300000e+02,
                            2.700000e+02],
     '_Analysis.yoda.gz' : [7.000000e+01, 1.100000e+02, 1.500000e+02, 1.900000e+02, 2.300000e+02,
                            2.700000e+02],
    '__Analysis.yoda.gz' : [7.000000e+01, 1.100000e+02, 1.500000e+02, 1.900000e+02, 2.300000e+02,
                            2.700000e+02],
}

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' : [4.300000e-02, 4.800000e-02, 4.100000e-02, 2.910000e-02, 1.530000e-02],
      'Analysis.yoda.gz' : [4.912171e-02, 5.880733e-02, 4.583684e-02, 3.060988e-02, 1.594339e-02],
     '_Analysis.yoda.gz' : [4.858847e-02, 5.360112e-02, 4.549052e-02, 3.182184e-02, 1.947099e-02],
    '__Analysis.yoda.gz' : [2.692436e-02, 2.708906e-02, 2.315309e-02, 1.413079e-02, 8.372261e-03],
}

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

yerrs = {
                  'Data' : [
                              [6.324555e-03, 4.472136e-03, 4.472136e-03, 2.920616e-03, 3.176476e-03],
                              [4.472136e-03, 4.472136e-03, 3.605551e-03, 3.758989e-03, 2.830194e-03],
                           ],
      'Analysis.yoda.gz' : [
                              [2.938002e-03, 3.324621e-03, 2.931572e-03, 2.559124e-03, 2.868337e-03],
                              [2.938002e-03, 3.324621e-03, 2.931572e-03, 2.559124e-03, 2.868337e-03],
                           ],
     '_Analysis.yoda.gz' : [
                              [3.184604e-03, 3.626179e-03, 3.358313e-03, 2.938839e-03, 2.242949e-03],
                              [3.184604e-03, 3.626179e-03, 3.358313e-03, 2.938839e-03, 2.242949e-03],
                           ],
    '__Analysis.yoda.gz' : [
                              [7.496476e-04, 7.838665e-04, 7.852622e-04, 6.082784e-04, 5.051946e-04],
                              [7.496476e-04, 7.838665e-04, 7.852622e-04, 6.082784e-04, 5.051946e-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' : [1.142365e+00, 1.225153e+00, 1.117972e+00, 1.051886e+00, 1.042052e+00],
     '_Analysis.yoda.gz' : [1.129964e+00, 1.116690e+00, 1.109525e+00, 1.093534e+00, 1.272614e+00],
    '__Analysis.yoda.gz' : [6.261479e-01, 5.643554e-01, 5.647095e-01, 4.855942e-01, 5.472066e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.470827e-01, 9.316950e-02, 1.090765e-01, 1.003648e-01, 2.076128e-01],
                              [1.040032e-01, 9.316950e-02, 8.794028e-02, 1.291749e-01, 1.849800e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [6.832563e-02, 6.926294e-02, 7.150176e-02, 8.794241e-02, 1.874730e-01],
                              [6.832563e-02, 6.926294e-02, 7.150176e-02, 8.794241e-02, 1.874730e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [7.406056e-02, 7.554540e-02, 8.191007e-02, 1.009910e-01, 1.465980e-01],
                              [7.406056e-02, 7.554540e-02, 8.191007e-02, 1.009910e-01, 1.465980e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.743367e-02, 1.633055e-02, 1.915274e-02, 2.090304e-02, 3.301925e-02],
                              [1.743367e-02, 1.633055e-02, 1.915274e-02, 2.090304e-02, 3.301925e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}