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' : [3.499797e+00, 2.307655e+00, 1.141740e+00, 1.844706e-01, 6.220241e-02],
     '_Analysis.yoda.gz' : [3.083748e+00, 1.967472e+00, 7.765135e-01, 3.731726e-01, -2.198399e-02],
    '__Analysis.yoda.gz' : [3.161739e+00, 1.908576e+00, 1.115168e+00, 1.133022e-01, 1.037065e-01],
}

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' : [
                              [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' : [
                              [2.423516e-01, 1.994713e-01, 3.107565e-01, 5.559618e-02, 8.363959e-02],
                              [2.423516e-01, 1.994713e-01, 3.107565e-01, 5.559618e-02, 8.363959e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [3.097189e-01, 2.569787e-01, 1.700096e-01, 2.700516e-01, 2.927911e-02],
                              [3.097189e-01, 2.569787e-01, 1.700096e-01, 2.700516e-01, 2.927911e-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' : [8.749493e-01, 1.282031e+00, 1.327605e+00, 6.832244e-01, 2.827382e+00],
     '_Analysis.yoda.gz' : [7.709370e-01, 1.093040e+00, 9.029227e-01, 1.382121e+00, -9.992723e-01],
    '__Analysis.yoda.gz' : [7.904347e-01, 1.060320e+00, 1.296707e+00, 4.196378e-01, 4.713932e+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' : [
                              [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' : [
                              [6.058790e-02, 1.108174e-01, 3.613448e-01, 2.059118e-01, 3.801800e+00],
                              [6.058790e-02, 1.108174e-01, 3.613448e-01, 2.059118e-01, 3.801800e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [7.742973e-02, 1.427659e-01, 1.976856e-01, 1.000191e+00, 1.330869e+00],
                              [7.742973e-02, 1.427659e-01, 1.976856e-01, 1.000191e+00, 1.330869e+00],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}