import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [3.110000e+00, 7.110000e+00, 1.390000e+01, 2.475000e+01, 6.585000e+01],
      'Analysis.yoda.gz' : [3.110000e+00, 7.110000e+00, 1.390000e+01, 2.475000e+01, 6.585000e+01],
     '_Analysis.yoda.gz' : [3.110000e+00, 7.110000e+00, 1.390000e+01, 2.475000e+01, 6.585000e+01],
    '__Analysis.yoda.gz' : [3.110000e+00, 7.110000e+00, 1.390000e+01, 2.475000e+01, 6.585000e+01],
}

xedges = {
                  'Data' : [2.000000e+00, 4.220000e+00, 1.000000e+01, 1.780000e+01, 3.170000e+01,
                            1.000000e+02],
      'Analysis.yoda.gz' : [2.000000e+00, 4.220000e+00, 1.000000e+01, 1.780000e+01, 3.170000e+01,
                            1.000000e+02],
     '_Analysis.yoda.gz' : [2.000000e+00, 4.220000e+00, 1.000000e+01, 1.780000e+01, 3.170000e+01,
                            1.000000e+02],
    '__Analysis.yoda.gz' : [2.000000e+00, 4.220000e+00, 1.000000e+01, 1.780000e+01, 3.170000e+01,
                            1.000000e+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' : [1.970000e-01, 5.900000e-02, 2.800000e-02, 1.540000e-02, 3.300000e-03],
      'Analysis.yoda.gz' : [1.552241e-01, 4.948544e-02, 2.818370e-02, 3.775177e-03, 1.822250e-03],
     '_Analysis.yoda.gz' : [7.531213e-02, 5.443465e-02, 2.403504e-02, 6.323941e-03, 2.923432e-03],
    '__Analysis.yoda.gz' : [5.098887e-02, 2.308416e-02, 1.003757e-02, 5.605436e-03, 1.847220e-03],
}

xerrs = {
                  'Data' : [
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                           ],
      'Analysis.yoda.gz' : [
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                           ],
}

yerrs = {
                  'Data' : [
                              [2.640076e-02, 1.063015e-02, 5.656854e-03, 3.640055e-03, 9.433981e-04],
                              [3.420526e-02, 1.389244e-02, 5.656854e-03, 2.607681e-03, 9.433981e-04],
                           ],
      'Analysis.yoda.gz' : [
                              [2.027787e-02, 1.104752e-02, 4.159182e-03, 2.683068e-03, 4.444078e-04],
                              [2.027787e-02, 1.104752e-02, 4.159182e-03, 2.683068e-03, 4.444078e-04],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.723218e-02, 8.672398e-03, 4.814380e-03, 2.366218e-03, 4.060153e-04],
                              [2.723218e-02, 8.672398e-03, 4.814380e-03, 2.366218e-03, 4.060153e-04],
                           ],
    '__Analysis.yoda.gz' : [
                              [3.360108e-03, 1.735425e-03, 1.146158e-03, 7.076542e-04, 1.814849e-04],
                              [3.360108e-03, 1.735425e-03, 1.146158e-03, 7.076542e-04, 1.814849e-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' : [7.879396e-01, 8.387363e-01, 1.006561e+00, 2.451414e-01, 5.521970e-01],
     '_Analysis.yoda.gz' : [3.822951e-01, 9.226212e-01, 8.583943e-01, 4.106455e-01, 8.858885e-01],
    '__Analysis.yoda.gz' : [2.588268e-01, 3.912569e-01, 3.584846e-01, 3.639894e-01, 5.597636e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.340140e-01, 1.801720e-01, 2.020305e-01, 2.363672e-01, 2.858782e-01],
                              [1.736308e-01, 2.354652e-01, 2.020305e-01, 1.693299e-01, 2.858782e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [1.029334e-01, 1.872461e-01, 1.485422e-01, 1.742252e-01, 1.346690e-01],
                              [1.029334e-01, 1.872461e-01, 1.485422e-01, 1.742252e-01, 1.346690e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.382344e-01, 1.469898e-01, 1.719421e-01, 1.536505e-01, 1.230349e-01],
                              [1.382344e-01, 1.469898e-01, 1.719421e-01, 1.536505e-01, 1.230349e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.705639e-02, 2.941398e-02, 4.093421e-02, 4.595157e-02, 5.499542e-02],
                              [1.705639e-02, 2.941398e-02, 4.093421e-02, 4.595157e-02, 5.499542e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}