Numpy Beginner's Guide (Update)

Time for action – comparing using maxulp of 2

Let's do the same comparisons as in the previous Time for action section, but specify a maxulp of 2 when necessary:

1. Determine the machine epsilon with the finfo() function:

   eps = np.finfo(float).eps
   print("EPS", eps)

   The epsilon would be as follows:

   EPS 2.22044604925e-16
   

2. Do the comparisons as done in the previous Time for action section, but use the assert_array_max_ulp() function with the appropriate maxulp value:

   print("1", np.testing.assert_array_max_ulp(1.0, 1.0 + eps))
   print("2", np.testing.assert_array_max_ulp(1.0, 1 + 2 * eps, maxulp=2))

   The output is as follows:

   1 1.0
   2 2.0
   

What just happened?

We compared the same values as the previous Time for action section, but specified a maxulp of 2 in the ...