Time for action – asserting approximately equal
Let's take the numbers from the previous Time for action section and let the assert_approx_equal()
function work on them:
Call the function with low significance:
print("Significance 8", np.testing.assert_approx_equal (0.123456789, 0.123456780,significant=8))
The result is as follows:
Significance 8 None
Call the function with high significance:
print("Significance 9", np.testing.assert_approx_equal (0.123456789, 0.123456780, significant=9))
The function raises an
AssertionError
:Significance 9 Traceback (most recent call last): ... raise AssertionError(msg) AssertionError: Items are not equal to 9 significant digits: ACTUAL: 0.123456789 DESIRED: 0.12345678
What just happened?
We used the assert_approx_equal()
function from the NumPy testing
package to check whether 0.123456789
and 0.123456780
are equal for different decimal precisions.