

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  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							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.'''				)
							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.'''				)

							snake_case_          =   components[:-1] + [test_fn.replace('.py'       ,							''				)]
							snake_case_          =   '.'.join(UpperCamelCase__				)

							return test_module_path





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   get_module_path(UpperCamelCase__				)
							snake_case_          =   importlib.import_module(UpperCamelCase__				)

							return test_module





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   []
							snake_case_          =   get_test_module(UpperCamelCase__				)
							for attr in dir(UpperCamelCase__				):
														if attr.endswith('ModelTester'				):
																					tester_classes.append(getattr(UpperCamelCase__       ,							UpperCamelCase__				)				)

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





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   []
							snake_case_          =   get_test_module(UpperCamelCase__				)
							for attr in dir(UpperCamelCase__				):
														snake_case_          =   getattr(UpperCamelCase__       ,							UpperCamelCase__				)
														# (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).
														snake_case_          =   getattr(UpperCamelCase__       ,							'all_model_classes'       ,							[]				)
														if len(UpperCamelCase__				) > 0:
																					test_classes.append(UpperCamelCase__				)

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





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   get_test_classes(UpperCamelCase__				)
							snake_case_          =   set()
							for test_class in test_classes:
														model_classes.update(test_class.all_model_classes				)

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





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   test_class()
							if hasattr(UpperCamelCase__       ,							'setUp'				):
														test.setUp()

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

							return model_tester





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   get_test_classes(UpperCamelCase__				)

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

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





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   get_test_classes_for_model(UpperCamelCase__       ,							UpperCamelCase__				)

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

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





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   get_test_classes(UpperCamelCase__				)
							snake_case_          =   {test_class: get_model_tester_from_test_class(UpperCamelCase__				) for test_class in test_classes}
							return test_tester_mapping





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   get_model_classes(UpperCamelCase__				)
							snake_case_          =   {
							    model_class: get_test_classes_for_model(UpperCamelCase__       ,							UpperCamelCase__				) for model_class in model_classes
							}
							return model_test_mapping





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   get_model_classes(UpperCamelCase__				)
							snake_case_          =   {
							    model_class: get_tester_classes_for_model(UpperCamelCase__       ,							UpperCamelCase__				) for model_class in model_classes
							}
							return model_to_tester_mapping





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






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







def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






							global f  # a global dp table for knapsack
							if f[i][j] < 0:
														if j < wt[i - 1]:
																					snake_case_          =   mf_knapsack(i - 1       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				)
														else:
																					snake_case_          =   max(
																					    mf_knapsack(i - 1       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				)       ,							mf_knapsack(i - 1       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							j - wt[i - 1]				) + val[i - 1]       ,							)
														snake_case_          =   val
							return f[i][j]





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   [[0] * (w + 1) for _ in range(n + 1				)]

							for i in range(1       ,							n + 1				):
														for w_ in range(1       ,							w + 1				):
																					if wt[i - 1] <= w_:
																												snake_case_          =   max(val[i - 1] + dp[i - 1][w_ - wt[i - 1]]       ,							dp[i - 1][w_]				)
																					else:
																												snake_case_          =   dp[i - 1][w_]

							return dp[n][w_], dp





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






							if not (isinstance(UpperCamelCase__       ,							(list, tuple)				) and isinstance(UpperCamelCase__       ,							(list, tuple)				)):
														raise ValueError(
														    'Both the weights and values vectors must be either lists or tuples'				)

							snake_case_          =   len(UpperCamelCase__				)
							if num_items != len(UpperCamelCase__				):
														snake_case_          =   (
														    'The number of weights must be the same as the number of values.\n'
														    F'''But got {num_items} weights and {len(UpperCamelCase__				)} values'''
														)
														raise ValueError(UpperCamelCase__				)
							for i in range(UpperCamelCase__				):
														if not isinstance(wt[i]       ,							UpperCamelCase__				):
																					snake_case_          =   (
																					    'All weights must be integers but got weight of '
																					    F'''type {type(wt[i]				)} at index {i}'''
																					)
																					raise TypeError(UpperCamelCase__				)

							snake_case_    ,   snake_case_          =   knapsack(UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				)
							snake_case_          =   set()
							_construct_solution(UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				)

							return optimal_val, example_optional_set





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






							if i > 0 and j > 0:
														if dp[i - 1][j] == dp[i][j]:
																					_construct_solution(UpperCamelCase__       ,							UpperCamelCase__       ,							i - 1       ,							UpperCamelCase__       ,							UpperCamelCase__				)
														else:
																					optimal_set.add(UpperCamelCase__				)
																					_construct_solution(UpperCamelCase__       ,							UpperCamelCase__       ,							i - 1       ,							j - wt[i - 1]       ,							UpperCamelCase__				)


if __name__ == "__main__":
					_UpperCAmelCase		:       int						    =	[3, 2, 4, 4]
					_UpperCAmelCase		:       Tuple						    =	[4, 3, 2, 3]
					_UpperCAmelCase		:       Dict						    =	4
					_UpperCAmelCase		:       int						    =	6
					_UpperCAmelCase		:       Union[str, Any]						    =	[[0] * (w + 1)] + [[0] + [-1] * (w + 1) for _ in range(n + 1)]
					_UpperCAmelCase    ,						_UpperCAmelCase		:       Optional[int]						    =	knapsack(w, wt, val, n)
					print(optimal_solution)
					print(mf_knapsack(n, wt, val, w))  # switched the n and w

					# testing the dynamic programming problem with example
					# the optimal subset for the above example are items 3 and 4
					_UpperCAmelCase    ,						_UpperCAmelCase		:       Optional[int]						    =	knapsack_with_example_solution(w, wt, val)
					assert optimal_solution == 8
					assert optimal_subset == {3, 4}
					print("""optimal_value = """, optimal_solution)
					print("""An optimal subset corresponding to the optimal value""", optimal_subset)




