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"""Example 2.

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

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

"""


try:
    import dpnp
except ImportError:
    import os
    import sys

    root_dir = os.path.join(os.path.dirname(__file__), os.pardir)
    sys.path.append(root_dir)

    import dpnp

import time

import numpy

common_function_one_input = numpy.sin
"""
Fixed third party function
"""


def get_package_specific_input_data_type(input_type, size):
    return input_type.arange(size)


def run_third_party_function(input, repetition):
    times = []
    for _ in range(repetition):
        start_time = time.time()
        result = common_function_one_input(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 input_type in [numpy, dpnp]:
        type_name = input_type.__name__
        print(
            f"...Test data type is {type_name}, each test repetitions {test_repetition}"
        )

        for size in [2048, 4096, 8192, 16384, 32768, 65536]:
            input_data = get_package_specific_input_data_type(input_type, size)
            result_time, result = run_third_party_function(
                input_data, test_repetition
            )

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