def test_call_with_empty_list(self):
""" Проверка, можно ли вызывать функцию с пустыми списами. В докстринге wrap_
нет на это ограничений.
Видим что падает с IndexError. Значит нужно добавить проверок в wrap_,
или хотябы поправить описание.
"""
wrap_([], [], [], [], [])
def test_call_without_args(self):
""" Проверка, что без при вызове без аргументов вознкает TypeError, если ошибки
не было, тест завершится с assert
Returns:
"""
try:
wrap_()
except TypeError:
pass
else:
assert False
def test_wrap_3(self):
func1 = rpt_saushkin.real_potential_rls
init_values_dict1 = dict(pt=20000, gain_db=20, wavelength=0.00002, loss_db=2, p_min=15000, F=1)
func1_result = func1(**init_values_dict1)
func2 = rpt_saushkin.std_h
init_values_dict2 = dict(distance=1000, elevation=2, elevation_rls=1.5, snr_db=5, tau=0.002,
aperture=7, wavelength=0.00002, width_spec=None, tau_disc_fcm=None, mode='nonmod')
func2_result = func2(**init_values_dict2)
new_fixed_values1 = dict(pt=20000, gain_db=20, loss_db=2, p_min=15000, F=1)
new_fixed_values2 = dict(distance=1000, elevation=2, elevation_rls=1.5, snr_db=5, tau=0.002, aperture=7,
width_spec=None, tau_disc_fcm=None, mode='nonmod')
minimize_args = (['wavelength'])
wrap_result = wrap_([func1, func2], [minimize_args, minimize_args], y_values=[func1_result, func2_result],
fixed_x_dict=[new_fixed_values1, new_fixed_values2],
bounds=[[(0.00001, 0.00006)], [(0.00003, 0.00008)]])
if wrap_result is not None:
func_result3 = func1(**new_fixed_values1, **wrap_result)
print("\n")
print(func1_result, 'res1= ', func_result3)
func_result4 = func2(**new_fixed_values2, **wrap_result)
print(func2_result, ' res2= ', func_result4)
print(wrap_result)
def test_wrap_1(self):
func = rpt_saushkin.rotation_period
init_values_dict = dict(azimuth_range=80, azimuth_step=2, elevate_range=60, elevation_step=3,
time_one_pulse=0.0002, num_ping=1)
func_result = func(**init_values_dict)
init_values_dict2 = dict(azimuth_range=60, azimuth_step=1, elevate_range=50, elevation_step=5,
time_one_pulse=0.0002, num_ping=1)
func_result2 = func(**init_values_dict2)
new_fixed_values = dict(azimuth_range=80, azimuth_step=2, elevation_step=3, num_ping=1)
new_fixed_values1 = dict(azimuth_range=120, azimuth_step=1, elevation_step=2, num_ping=1)
minimize_args = ("time_one_pulse", "elevate_range")
wrap_result = wrap_([func,func], [minimize_args, minimize_args], y_values=[func_result,func_result2],
fixed_x_dict=[new_fixed_values,new_fixed_values1],
bounds=[[(0.0001, 0.0004), (40, 50)], [(0.0003, 0.0008), (30, 200)]])
if wrap_result is not None:
func_result3 = func(**new_fixed_values, **wrap_result)
print("\n")
print(func_result, 'res1= ', func_result3)
func_result4 = func(**new_fixed_values1, **wrap_result)
print(func_result2, 'res2= ', func_result4)
print(wrap_result)
def test_wrap_5(self):
func1 = rpt_saushkin.probability_limit
init_values_dict1 = dict(potential_db=20, distance=5000, rcs=1)
func1_result = func1(**init_values_dict1)
func2 = rpt_saushkin.probability_detect_by_antenna_param
init_values_dict2 = dict(potential_db=20, distance=3000, rcs=2, probability_alarm=0.8,
num_pulse=1, k=1)
func2_result = func2(**init_values_dict2)
new_fixed_values1 = dict( rcs=1)
new_fixed_values2 = dict(rcs=2, probability_alarm=0.8,
num_pulse=1, k=1)
minimize_args = ("potential_db", "distance")
wrap_result = wrap_([func1, func2], [minimize_args, minimize_args],
y_values=[func1_result, func2_result],
fixed_x_dict=[new_fixed_values1, new_fixed_values2],
bounds=[[(10, 20), (10000, 20000)], [(15, 30), (5000, 10000)]])
if wrap_result is not None:
func_result1 = func1(**new_fixed_values1, **wrap_result)
print(func1_result, 'res1= ', func_result1)
func_result2 = func2(**new_fixed_values2, **wrap_result)
print(func2_result, ' res2= ', func_result2)
print(wrap_result)
def test_wrap_4(self):
func1 = rpt_saushkin.std_x
init_values_dict1 = dict(distance=1000, elevation=2, elevation_rls=1.5, azimuth=2, azimuth_rls=1.6,
std_dist=1000, std_el=1.5, std_az=1)
func1_result = func1(**init_values_dict1)
func2 = rpt_saushkin.std_y
init_values_dict2 = dict(distance=1000, elevation=1.5, elevation_rls=2, azimuth=1, azimuth_rls=0.5,
std_dist=1000, std_el=2, std_az=1.5)
func2_result = func2(**init_values_dict2)
func3 = rpt_saushkin.std_h
init_values_dict3 = dict(distance=1000, elevation=2, elevation_rls=1.5, snr_db=5, tau=0.002,
aperture=7, wavelength=0.00002, width_spec=None, tau_disc_fcm=None, mode='nonmod')
func3_result = func3(**init_values_dict3)
new_fixed_values1 = dict(azimuth=2, azimuth_rls=1.6, std_dist=1000, std_el=2, std_az=1.5)
new_fixed_values2 = dict(azimuth=1, azimuth_rls=0.5, std_dist=1000, std_el=2, std_az=1.5)
new_fixed_values3 = dict(snr_db=5, tau=0.002, aperture=7, wavelength=0.00002, width_spec=None,
tau_disc_fcm=None, mode='nonmod')
minimize_args = ("distance", "elevation", "elevation_rls")
wrap_result = wrap_([func1, func2, func3], [minimize_args, minimize_args, minimize_args],
y_values=[func1_result, func2_result, func3_result],
fixed_x_dict=[new_fixed_values1, new_fixed_values2, new_fixed_values3],
bounds=[[(1000, 2000), (0, 2), (1, 1.5)], [(1500, 3000), (1, 3), (1, 2.5)],[(1000, 4000), (0, 3), (0, 2.5)]])
if wrap_result is not None:
func_result1 = func1(**new_fixed_values1, **wrap_result)
print(func1_result, 'res1= ', func_result1)
func_result2 = func2(**new_fixed_values2, **wrap_result)
print(func2_result, ' res2= ', func_result2)
func_result3 = func3(**new_fixed_values3, **wrap_result)
print(func3_result, ' res3= ', func_result3)
print(wrap_result)