IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed

This has been addressed in #10

We now check for all infs in the DL file and do not sort these functions. We still generate an output file, but it is empty. As a minimum working example, the following code would not previously run as all DL values are inf by construction, but now does.

import numpy as np
import esr.fitting.test_all
import esr.fitting.test_all_Fisher
import esr.fitting.match
import esr.fitting.combine_DL
import esr.fitting.plot
from esr.fitting.likelihood import Likelihood

class InfLikelihood(Likelihood):

    def __init__(self,):
        super().__init__('data_file', 'cov_file', 'inf_test',)
        self.ylabel = r'$y$'
        nx = 10
        self.xvar = np.ones(nx)
        self.yvar = np.ones(nx)
        self.yerr = np.ones(nx)

    def negloglike(self, a, eq_numpy, **kwargs):
        return np.inf

class SometimesInfLikelihood(Likelihood):

    def __init__(self,):
        super().__init__('data_file', 'cov_file', 'inf_test',)
        self.ylabel = r'$y$'
        nx = 10
        self.xvar = np.ones(nx)
        self.yvar = np.ones(nx)
        self.yerr = np.ones(nx)

    def negloglike(self, a, eq_numpy, **kwargs):
        if len(a) == 1:
            return np.inf
        return 0

comp = 1

for likelihood in [InfLikelihood(), SometimesInfLikelihood()]:
    print('\n')
    esr.fitting.test_all.main(comp, likelihood)
    esr.fitting.test_all_Fisher.main(comp, likelihood)
    esr.fitting.match.main(comp, likelihood)
    esr.fitting.combine_DL.main(comp, likelihood)
    esr.fitting.plot.main(comp, likelihood)

DeaglanBartlett / ESR

IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed #9