


"""simple docstring"""







import importlib
import os
import sys


# This is required to make the module import works (when the python process is running from the root of the repo)
sys.path.append('''.''')




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				test_file.split(os.path.sep   )
					if components[0:2] != ["tests", "models"]:
										raise ValueError(
										    "`test_file` should start with `tests/models/` (with `/` being the OS specific path separator). Got "
										    f"""{test_file} instead."""   )
					__SCREAMING_SNAKE_CASE						   =				components[-1]
					if not test_fn.endswith("py"   ):
										raise ValueError(f"""`test_file` should be a python file. Got {test_fn} instead."""   )
					if not test_fn.startswith("test_modeling_"   ):
										raise ValueError(
										    f"""`test_file` should point to a file name of the form `test_modeling_*.py`. Got {test_fn} instead."""   )

					__SCREAMING_SNAKE_CASE						   =				components[:-1] + [test_fn.replace(".py"  ,						""   )]
					__SCREAMING_SNAKE_CASE						   =				".".join(lowerCAmelCase_   )

					return test_module_path




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				get_module_path(lowerCAmelCase_   )
					__SCREAMING_SNAKE_CASE						   =				importlib.import_module(lowerCAmelCase_   )

					return test_module




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				[]
					__SCREAMING_SNAKE_CASE						   =				get_test_module(lowerCAmelCase_   )
					for attr in dir(lowerCAmelCase_   ):
										if attr.endswith("ModelTester"   ):
															tester_classes.append(getattr(lowerCAmelCase_  ,						lowerCAmelCase_   )   )

    # sort with class names
					return sorted(lowerCAmelCase_  ,						key=lambda lowerCAmelCase_   : x.__name__   )




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				[]
					__SCREAMING_SNAKE_CASE						   =				get_test_module(lowerCAmelCase_   )
					for attr in dir(lowerCAmelCase_   ):
										__SCREAMING_SNAKE_CASE						   =				getattr(lowerCAmelCase_  ,						lowerCAmelCase_   )
										# (TF/Flax)ModelTesterMixin is also an attribute in specific model test module. Let's exclude them by checking
										# `all_model_classes` is not empty (which also excludes other special classes).
										__SCREAMING_SNAKE_CASE						   =				getattr(lowerCAmelCase_  ,						"all_model_classes"  ,						[]   )
										if len(lowerCAmelCase_   ) > 0:
															test_classes.append(lowerCAmelCase_   )

    # sort with class names
					return sorted(lowerCAmelCase_  ,						key=lambda lowerCAmelCase_   : x.__name__   )




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				get_test_classes(lowerCAmelCase_   )
					__SCREAMING_SNAKE_CASE						   =				set()
					for test_class in test_classes:
										model_classes.update(test_class.all_model_classes   )

					# sort with class names
					return sorted(lowerCAmelCase_  ,						key=lambda lowerCAmelCase_   : x.__name__   )




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				test_class()
					if hasattr(lowerCAmelCase_  ,						"setUp"   ):
										test.setUp()

					__SCREAMING_SNAKE_CASE						   =				None
					if hasattr(lowerCAmelCase_  ,						"model_tester"   ):
										# `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
										if test.model_tester is not None:
															__SCREAMING_SNAKE_CASE						   =				test.model_tester.__class__

					return model_tester




def    UpperCAmelCase__       (lowerCAmelCase_  ,						lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				get_test_classes(lowerCAmelCase_   )

					__SCREAMING_SNAKE_CASE						   =				[]
					for test_class in test_classes:
										if model_class in test_class.all_model_classes:
															target_test_classes.append(lowerCAmelCase_   )

    # sort with class names
					return sorted(lowerCAmelCase_  ,						key=lambda lowerCAmelCase_   : x.__name__   )




def    UpperCAmelCase__       (lowerCAmelCase_  ,						lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				get_test_classes_for_model(lowerCAmelCase_  ,						lowerCAmelCase_   )

					__SCREAMING_SNAKE_CASE						   =				[]
					for test_class in test_classes:
										__SCREAMING_SNAKE_CASE						   =				get_model_tester_from_test_class(lowerCAmelCase_   )
										if tester_class is not None:
															tester_classes.append(lowerCAmelCase_   )

    # sort with class names
					return sorted(lowerCAmelCase_  ,						key=lambda lowerCAmelCase_   : x.__name__   )




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				get_test_classes(lowerCAmelCase_   )
					__SCREAMING_SNAKE_CASE						   =				{test_class: get_model_tester_from_test_class(lowerCAmelCase_   ) for test_class in test_classes}
					return test_tester_mapping




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				get_model_classes(lowerCAmelCase_   )
					__SCREAMING_SNAKE_CASE						   =				{
					    model_class: get_test_classes_for_model(lowerCAmelCase_  ,						lowerCAmelCase_   ) for model_class in model_classes
					}
					return model_test_mapping




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				get_model_classes(lowerCAmelCase_   )
					__SCREAMING_SNAKE_CASE						   =				{
					    model_class: get_tester_classes_for_model(lowerCAmelCase_  ,						lowerCAmelCase_   ) for model_class in model_classes
					}
					return model_to_tester_mapping




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					if isinstance(lowerCAmelCase_  ,						lowerCAmelCase_   ):
										return o
					elif isinstance(lowerCAmelCase_  ,						lowerCAmelCase_   ):
										return o.__name__
					elif isinstance(lowerCAmelCase_  ,						(list, tuple)   ):
										return [to_json(lowerCAmelCase_   ) for x in o]
					elif isinstance(lowerCAmelCase_  ,						lowerCAmelCase_   ):
										return {to_json(lowerCAmelCase_   ): to_json(lowerCAmelCase_   ) for k, v in o.items()}
					else:
										return o

import numpy as np
import skfuzzy as fuzz

if __name__ == "__main__":
   # Create universe of discourse in Python using linspace ()
   __lowerCamelCase			: List[Any]							   =		np.linspace(start=0, stop=75, num=75, endpoint=True, retstep=False)

   # Create two fuzzy sets by defining any membership function
   # (trapmf(), gbellmf(), gaussmf(), etc).
   __lowerCamelCase			: int							   =		[0, 25, 50]
   __lowerCamelCase			: Tuple							   =		[25, 50, 75]
   __lowerCamelCase			: List[str]							   =		fuzz.membership.trimf(X, abca)
   __lowerCamelCase			: Tuple							   =		fuzz.membership.trimf(X, abca)

   # Compute the different operations using inbuilt functions.
   __lowerCamelCase			: List[str]							   =		np.ones(75)
   __lowerCamelCase			: Tuple							   =		np.zeros((75,))
   # 1. Union = max(µA(x), µB(x))
   __lowerCamelCase			: str							   =		fuzz.fuzzy_or(X, young, X, middle_aged)[1]
   # 2. Intersection = min(µA(x), µB(x))
   __lowerCamelCase			: int							   =		fuzz.fuzzy_and(X, young, X, middle_aged)[1]
   # 3. Complement (A) = (1- min(µA(x))
   __lowerCamelCase			: Union[str, Any]							   =		fuzz.fuzzy_not(young)
   # 4. Difference (A/B) = min(µA(x),(1- µB(x)))
   __lowerCamelCase			: Union[str, Any]							   =		fuzz.fuzzy_and(X, young, X, fuzz.fuzzy_not(middle_aged)[1])[1]
   # 5. Algebraic Sum = [µA(x) + µB(x) – (µA(x) * µB(x))]
   __lowerCamelCase			: List[Any]							   =		young + middle_aged - (young * middle_aged)
   # 6. Algebraic Product = (µA(x) * µB(x))
   __lowerCamelCase			: int							   =		young * middle_aged
   # 7. Bounded Sum = min[1,(µA(x), µB(x))]
   __lowerCamelCase			: int							   =		fuzz.fuzzy_and(X, one, X, young + middle_aged)[1]
   # 8. Bounded difference = min[0,(µA(x), µB(x))]
   __lowerCamelCase			: str							   =		fuzz.fuzzy_or(X, zero, X, young - middle_aged)[1]

   # max-min composition
   # max-product composition

   # Plot each set A, set B and each operation result using plot() and subplot().
   from matplotlib import pyplot as plt

   plt.figure()

   plt.subplot(4, 3, 1)
   plt.plot(X, young)
   plt.title('''Young''')
   plt.grid(True)

   plt.subplot(4, 3, 2)
   plt.plot(X, middle_aged)
   plt.title('''Middle aged''')
   plt.grid(True)

   plt.subplot(4, 3, 3)
   plt.plot(X, union)
   plt.title('''union''')
   plt.grid(True)

   plt.subplot(4, 3, 4)
   plt.plot(X, intersection)
   plt.title('''intersection''')
   plt.grid(True)

   plt.subplot(4, 3, 5)
   plt.plot(X, complement_a)
   plt.title('''complement_a''')
   plt.grid(True)

   plt.subplot(4, 3, 6)
   plt.plot(X, difference)
   plt.title('''difference a/b''')
   plt.grid(True)

   plt.subplot(4, 3, 7)
   plt.plot(X, alg_sum)
   plt.title('''alg_sum''')
   plt.grid(True)

   plt.subplot(4, 3, 8)
   plt.plot(X, alg_product)
   plt.title('''alg_product''')
   plt.grid(True)

   plt.subplot(4, 3, 9)
   plt.plot(X, bdd_sum)
   plt.title('''bdd_sum''')
   plt.grid(True)

   plt.subplot(4, 3, 10)
   plt.plot(X, bdd_difference)
   plt.title('''bdd_difference''')
   plt.grid(True)

   plt.subplots_adjust(hspace=0.5)
   plt.show()
