# cython: language_level=3
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"""Example 2.

This example shows usage of different input data types
with same third party library call

Also, it produces performance comparison between a same third party function call
over different types of input data

"""

import time

import numpy

import dpnp


def run_third_party_function(xp, input, repetition):
    times = []
    for _ in range(repetition):
        start_time = time.time()
        result = xp.sin(input)
        end_time = time.time()
        times.append(end_time - start_time)

    execution_time = numpy.median(times)
    return execution_time, result.item(5)


if __name__ == "__main__":
    test_repetition = 5
    for xp in [numpy, dpnp]:
        type_name = xp.__name__
        print(
            f"...Test data type is {type_name}, each test repetitions {test_repetition}"
        )

        for size in range(20, 25):
            size = 2**size
            input_data = xp.arange(size)
            result_time, result = run_third_party_function(
                xp, input_data, test_repetition
            )

            print(
                f"type:{type_name}:N:{size:6}:Time:{result_time:.3e}:result:{result}"
            )