code: def logDiffExp(A, B, out=None):
    
  
    if out is None:
      out = numpy.zeros(A.shape)
  
    indicator1 = A >= B
    assert indicator1.all(), "Values in the first array should be greater than the values in the second"
    out[indicator1] = A[indicator1] + numpy.log(1 - numpy.exp(B[indicator1]-A[indicator1]))
  
    return out
docs: returns log(exp(A) - exp(B)). A and B are numpy arrays. values in A should be
    greater than or equal to corresponding values in B