benchmark.py

import time
import random
import collections
import math
random.seed(1)


#
# Testing with importing module each round
#
def test1(n):

    def old_with_import():
        from PySAM.PySSC import PySSC
        ssc = PySSC()
        # ssc.module_exec_set_print(0)
        data = ssc.data_create()
        ssc.data_set_number(data, b'spec_mode', 0)
        ssc.data_set_number(data, b'derate', 4)
        ssc.data_set_number(data, b'system_capacity', 100000)
        ssc.data_set_number(data, b'user_capacity_factor', 43.599998474121094)
        ssc.data_set_number(data, b'heat_rate', 10)
        ssc.data_set_number(data, b'conv_eff', 34.118049621582031)
        energy_output_array = [-0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.52636, 1.74917, 2.57383, 3.08427, 3.29984, 3.25021, 2.9358, 2.29411, 1.30634, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.524721, 1.71983, 2.57684, 3.08387, 3.30457, 3.25023, 2.92098, 2.26371, 1.28647, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.503479, 1.65889, 2.47494, 2.99021, 2.48259, 0.510929, 1.04024, 2.26393, 1.31871, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.513209, 1.74414, 2.57435, 3.05368, 3.29414, 3.25901, 2.91821, 2.30584, 1.34467, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.50639, 1.70426, 2.53805, 3.04629, 3.29337, 3.2652, 2.93712, 2.33058, 1.36273, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.478388, 1.66943, 2.48534, 3.00258, 3.22182, 3.18345, 2.88544, 2.2917, 1.34554, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.461687, 1.64942, 2.47643, 3.03336, 3.26762, 3.23499, 2.91823, 2.27365, 1.289, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.438143, 1.66177, 2.5714, 3.18626, 3.4756, 3.46643, 3.11831, 2.4423, 1.4207, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.298492, 1.68528, 2.51258, 3.03752, 3.31718, 2.1765, 2.95705, 2.32783, 1.12005, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.483602, 1.66018, 2.48754, 2.9683, 3.19167, 2.36438, 2.93213, 1.37819, 1.38927, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.316576, 1.21371, 1.3103, 1.82015, 2.57998, 2.08484, 2.09217, 1.78869, 0.541045, -0.00116655, 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1.80565, 2.51988, 1.91514, 1.58317, 0.584762, 0.660672, 0.0306318, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.418603, 1.70638, 1.76756, 1.40892, 1.5738, 1.70824, 1.99692, 0.48402, 0.264152, 0.0312964, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.580285, 1.73606, 2.65915, 3.25576, 3.54728, 3.55361, 3.24764, 2.62033, 1.64736, 0.383405, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.606766, 1.80304, 2.7184, 3.30877, 3.61885, 3.61622, 3.29848, 2.6806, 1.71975, 0.444532, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 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        ssc.data_set_array(data, b'energy_output_array', energy_output_array)
        ssc.data_set_matrix(data, b'adjust:periods', [[1, 2, 3], [1, 2, 3], [1, 2, 3]])
        ssc.data_free(data)

    def new_with_import():
        import PySAM.GenericSystem as GenericSystem
        gs = GenericSystem.new()
        a = gs.Plant
        a.spec_mode = 0
        a.derate = 4
        a.system_capacity = 100000
        a.user_capacity_factor = 43.599998474121094
        a.heat_rate = 10
        a.conv_eff = 34.118049621582031
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        gs.AdjustmentFactors.periods = [[1, 2, 3], [1, 2, 3], [1, 2, 3]]



    # time old version
    t1 = time.process_time()
    for i in range(n):
        old_with_import()

    t2 = time.process_time()

    t_old = t2 - t1

    # time new version
    t1 = time.process_time()
    for i in range(n):
        new_with_import()

    t2 = time.process_time()
    t_new = t2 - t1
    if math.isclose(0, t_new, rel_tol=1e-5):
        factor = None
    else:
        factor = round(t_old / t_new, 5)
    print("Time with importing module:\t", round(t_old, 5), "\t", round(t_new, 5), "\t", factor)


#
# Testing without importing module each round
#

def test2(n):
    from PySAM.PySSC import PySSC
    ssc = PySSC()
    import PySAM.GenericSystem as GenericSystem

    def old_no_import():
        # ssc.module_exec_set_print(0)
        data = ssc.data_create()
        ssc.data_set_number(data, b'spec_mode', 0)
        ssc.data_set_number(data, b'derate', 4)
        ssc.data_set_number(data, b'system_capacity', 100000)
        ssc.data_set_number(data, b'user_capacity_factor', 43.599998474121094)
        ssc.data_set_number(data, b'heat_rate', 10)
        ssc.data_set_number(data, b'conv_eff', 34.118049621582031)
        energy_output_array = [-0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.52636, 1.74917, 2.57383, 3.08427, 3.29984, 3.25021, 2.9358, 2.29411, 1.30634, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.524721, 1.71983, 2.57684, 3.08387, 3.30457, 3.25023, 2.92098, 2.26371, 1.28647, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.503479, 1.65889, 2.47494, 2.99021, 2.48259, 0.510929, 1.04024, 2.26393, 1.31871, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.513209, 1.74414, 2.57435, 3.05368, 3.29414, 3.25901, 2.91821, 2.30584, 1.34467, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.50639, 1.70426, 2.53805, 3.04629, 3.29337, 3.2652, 2.93712, 2.33058, 1.36273, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.478388, 1.66943, 2.48534, 3.00258, 3.22182, 3.18345, 2.88544, 2.2917, 1.34554, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.461687, 1.64942, 2.47643, 3.03336, 3.26762, 3.23499, 2.91823, 2.27365, 1.289, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.438143, 1.66177, 2.5714, 3.18626, 3.4756, 3.46643, 3.11831, 2.4423, 1.4207, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.298492, 1.68528, 2.51258, 3.03752, 3.31718, 2.1765, 2.95705, 2.32783, 1.12005, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.483602, 1.66018, 2.48754, 2.9683, 3.19167, 2.36438, 2.93213, 1.37819, 1.38927, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, -0.00116655, 0.316576, 1.21371, 1.3103, 1.82015, 2.57998, 2.08484, 2.09217, 1.78869, 0.541045, -0.00116655, 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        ssc.data_set_array(data, b'energy_output_array', energy_output_array)
        ssc.data_set_matrix(data, b'adjust:periods', [[1, 2, 3], [1, 2, 3], [1, 2, 3]])
        ssc.data_free(data)

    def new_no_import():
        gs = GenericSystem.new()
        a = gs.Plant
        a.spec_mode = 0
        a.derate = 4
        a.system_capacity = 100000
        a.user_capacity_factor = 43.599998474121094
        a.heat_rate = 10
        a.conv_eff = 34.118049621582031
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        gs.AdjustmentFactors.periods = [[1, 2, 3], [1, 2, 3], [1, 2, 3]]

    # time old version
    t1 = time.process_time()
    for i in range(n):
        old_no_import()

    t2 = time.process_time()

    t_old = t2 - t1

    # time new version
    t1 = time.process_time()
    for i in range(n):
        new_no_import()

    t2 = time.process_time()

    t_new = t2 - t1
    if math.isclose(0, t_new, rel_tol=1e-5):
        factor = None
    else:
        factor = round(t_old / t_new, 5)
    print("Time w/o importing module:\t", round(t_old, 5), "\t", round(t_new, 5), "\t", factor)


#
# Testing with random values
#
def test3(n):
    from PySAM.PySSC import PySSC
    import PySAM.GenericSystem as GenericSystem

    ssc = PySSC()

    def old_no_import_rand():
        # ssc.module_exec_set_print(0)
        data = ssc.data_create()
        ssc.data_set_number(data, b'spec_mode', 0)
        ssc.data_set_number(data, b'derate', random.randint(0, 10))
        ssc.data_set_number(data, b'system_capacity', random.randint(50000, 100000))
        ssc.data_set_number(data, b'user_capacity_factor', random.randint(40, 60))
        ssc.data_set_number(data, b'heat_rate', random.randint(5, 15))
        ssc.data_set_number(data, b'conv_eff', random.randint(25, 50))
        energy_output_array = [random.random() for i in range(8760)]
        ssc.data_set_array(data, b'energy_output_array', energy_output_array)
        ssc.data_set_matrix(data, b'adjust:periods', [[random.randint(0, 4)] for i in range(3)])
        ssc.data_free(data)

    def new_no_import_rand():
        gs = GenericSystem.new()
        a = gs.Plant
        a.spec_mode = 0
        a.derate = random.randint(0, 10)
        a.system_capacity = random.randint(50000, 100000)
        a.user_capacity_factor = random.randint(40, 50)
        a.heat_rate = random.randint(5, 15)
        a.conv_eff = random.randint(25, 50)
        a. energy_output_array = [random.random() for i in range(8760)]
        gs.AdjustmentFactors.periods = [[random.randint(0, 4)] for i in range(3)]

    # time old version
    t1 = time.process_time()
    for i in range(n):
        old_no_import_rand()

    t2 = time.process_time()

    t_old = t2 - t1

    # time new version
    t1 = time.process_time()
    for i in range(n):
        new_no_import_rand()

    t2 = time.process_time()

    t_new = t2 - t1
    if math.isclose(0, t_new, rel_tol=1e-5):
        factor = None
    else:
        factor = round(t_old / t_new, 5)
    print("Time w/o importing + rand:\t", round(t_old, 5), "\t", round(t_new, 5), "\t", factor)



#
# Testing with dictionary loading
#
def test4(n):
    import PySAM.GenericSystem as GenericSystem
    from PySAM.PySSC import PySSC

    dict_old = {
        'conv_eff': 34.11800003051758,
        'derate': random.randint(0, 10),
        'energy_output_array': [random.random() for i in range(8760)],
        'heat_rate': random.randint(5, 15),
        'spec_mode': 0.0,
        'system_capacity': random.randint(0, 10),
        'user_capacity_factor': random.randint(5, 15),
        'adjust:periods': [[random.randint(0, 4)] for i in range(3)]}

    dict_new = {'Plant': {
        'conv_eff': 34.11800003051758,
        'derate': random.randint(0, 10),
        'energy_output_array': [random.random() for i in range(8760)],
        'heat_rate': random.randint(5, 15),
        'spec_mode': 0.0,
        'system_capacity': random.randint(0, 10),
        'user_capacity_factor': random.randint(5, 15)},
        'AdjustmentFactors': {
            'periods': [[random.randint(0, 4)] for i in range(3)]}}

    def old_dict():

        dict_old_types = {'conv_eff': 2,
                          'derate': 2,
                          'energy_output_array': 3,
                          'heat_rate': 2,
                          'spec_mode': 2,
                          'system_capacity': 2,
                          'user_capacity_factor': 2,
                          'adjust:periods': 4}

        ssc = PySSC()
        data = ssc.data_create()
        for k, v in dict_old.items():
            type = dict_old_types[k]
            bytestr = k.encode()
            if type == 1:
                if isinstance(v, str):
                    ssc.data_set_string(data, bytestr, v)
                else:
                    raise ValueError(k, "not str")
            elif type == 2:
                if isinstance(v, float) or isinstance(v, int):
                    ssc.data_set_number(data, bytestr, v)
                else:
                    raise ValueError(k, "not float")
            elif type == 3:
                if isinstance(v, tuple) or isinstance(v, list):
                    ssc.data_set_array(data, bytestr, v)
                else:
                    raise ValueError(k, "not array")

            elif type == 2:
                if isinstance(v, collections.Sequence):
                    ssc.data_set_matrix(data, bytestr, v)
                else:
                    raise ValueError("not matrix")
        ssc.data_free(data)

    def new_dict():

        gs = GenericSystem.new()
        gs.assign(dict_new)

    # time old version

    t1 = time.process_time()
    for i in range(n):
        old_dict()

    t2 = time.process_time()

    t_old = t2 - t1

    # time new version
    t1 = time.process_time()
    for i in range(n):
        new_dict()

    t2 = time.process_time()

    t_new = t2 - t1
    if math.isclose(0, t_new, rel_tol=1e-5):
        factor = None
    else:
        factor = round(t_old / t_new, 5)
    print("Time w/o importing w/ dict:\t", round(t_old, 5), "\t", round(t_new, 5), "\t", factor)



for n in (100, 1000):

    print("Testing over", n, "loops:\t\t t_old\t\tt_new\t\tfactor")

    test1(n)
    test2(n)
    test4(n)

    print()