Assert functions

Unit tests usually use functions, which assert something as part of the test. When doing numerical calculations, often we have the fundamental issue of trying to compare floating-point numbers that are almost equal. For integers, comparison is a trivial operation, but for floating-point numbers it is not, because of the inexact representation by computers. The NumPy testing package has a number of utility functions that test whether a precondition is true or not, taking into account the problem of floating-point comparisons. The following table shows the different utility functions:

Function	Description
assert_almost_equal()	This function raises an exception if two numbers are not equal up to a specified precision
assert_approx_equal()	This function raises an exception if two numbers are not equal up to a certain significance
assert_array_almost_equal()	This function raises an exception if two arrays are not equal up to a specified precision
assert_array_equal...