



'''simple docstring'''






import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	def __init__(		self    :  Tuple	,    __snake_case    :  Optional[Any]	,    __snake_case    :  int=None	,    __snake_case    :  Optional[Any]=True	,    __snake_case    :  Optional[Any]=None	,    **__snake_case    :  Tuple	)    ->	Tuple:
								UpperCAmelCase				: Tuple											=	parent
								UpperCAmelCase				: Optional[Any]											=	config_class
								UpperCAmelCase				: int											=	has_text_modality
								UpperCAmelCase				: str											=	kwargs
								UpperCAmelCase				: int											=	common_properties







	def   A			(		self    :  Dict	)    ->	int:
								UpperCAmelCase				: Any											=	self.config_class(**self.inputs_dict	)
								UpperCAmelCase				: Dict											=	(
								    ['''hidden_size''', '''num_attention_heads''', '''num_hidden_layers''']
								    if self.common_properties is None
								    else self.common_properties
								)

								# Add common fields for text models
								if self.has_text_modality:
															common_properties.extend(['''vocab_size''']	)

								# Test that config has the common properties as getters
								for prop in common_properties:
															self.parent.assertTrue(hasattr(__snake_case	,    __snake_case	)	,    msg=F"""`{prop}` does not exist"""	)

								# Test that config has the common properties as setter
								for idx, name in enumerate(__snake_case	):
															try:
																						setattr(__snake_case	,    __snake_case	,    __snake_case	)
																						self.parent.assertEqual(
																						    getattr(__snake_case	,    __snake_case	)	,    __snake_case	,    msg=F"""`{name} value {idx} expected, but was {getattr(__snake_case	,    __snake_case	)}"""	)
															except NotImplementedError:
																						# Some models might not be able to implement setters for common_properties
																						# In that case, a NotImplementedError is raised
																						pass

        # Test if config class can be called with Config(prop_name=..)
								for idx, name in enumerate(__snake_case	):
															try:
																						UpperCAmelCase				: Tuple											=	self.config_class(**{name: idx}	)
																						self.parent.assertEqual(
																						    getattr(__snake_case	,    __snake_case	)	,    __snake_case	,    msg=F"""`{name} value {idx} expected, but was {getattr(__snake_case	,    __snake_case	)}"""	)
															except NotImplementedError:
																						# Some models might not be able to implement setters for common_properties
																						# In that case, a NotImplementedError is raised
																						pass







	def   A			(		self    :  Dict	)    ->	Dict:
								UpperCAmelCase				: Any											=	self.config_class(**self.inputs_dict	)
								UpperCAmelCase				: Union[str, Any]											=	json.loads(config.to_json_string()	)
								for key, value in self.inputs_dict.items():
															self.parent.assertEqual(obj[key]	,    __snake_case	)







	def   A			(		self    :  Optional[Any]	)    ->	Union[str, Any]:
								UpperCAmelCase				: List[Any]											=	self.config_class(**self.inputs_dict	)

								with tempfile.TemporaryDirectory() as tmpdirname:
															UpperCAmelCase				: Union[str, Any]											=	os.path.join(__snake_case	,    '''config.json'''	)
															config_first.to_json_file(__snake_case	)
															UpperCAmelCase				: List[str]											=	self.config_class.from_json_file(__snake_case	)

								self.parent.assertEqual(config_second.to_dict()	,    config_first.to_dict()	)







	def   A			(		self    :  str	)    ->	int:
								UpperCAmelCase				: str											=	self.config_class(**self.inputs_dict	)

								with tempfile.TemporaryDirectory() as tmpdirname:
															config_first.save_pretrained(__snake_case	)
															UpperCAmelCase				: List[str]											=	self.config_class.from_pretrained(__snake_case	)

								self.parent.assertEqual(config_second.to_dict()	,    config_first.to_dict()	)







	def   A			(		self    :  Any	)    ->	List[Any]:
								UpperCAmelCase				: List[Any]											=	self.config_class(**self.inputs_dict	)

								UpperCAmelCase				: Union[str, Any]											=	'''test'''
								with tempfile.TemporaryDirectory() as tmpdirname:
															UpperCAmelCase				: Union[str, Any]											=	os.path.join(__snake_case	,    __snake_case	)
															config_first.save_pretrained(__snake_case	)
															UpperCAmelCase				: List[str]											=	self.config_class.from_pretrained(__snake_case	,    subfolder=__snake_case	)

								self.parent.assertEqual(config_second.to_dict()	,    config_first.to_dict()	)







	def   A			(		self    :  List[str]	)    ->	Optional[int]:
								UpperCAmelCase				: Any											=	self.config_class(**self.inputs_dict	,    num_labels=5	)
								self.parent.assertEqual(len(config.idalabel	)	,    5	)
								self.parent.assertEqual(len(config.labelaid	)	,    5	)

								UpperCAmelCase				: Union[str, Any]											=	3
								self.parent.assertEqual(len(config.idalabel	)	,    3	)
								self.parent.assertEqual(len(config.labelaid	)	,    3	)







	def   A			(		self    :  Tuple	)    ->	int:
								if self.config_class.is_composition:
															return
								UpperCAmelCase				: int											=	self.config_class()
								self.parent.assertIsNotNone(__snake_case	)







	def   A			(		self    :  Tuple	)    ->	str:
								UpperCAmelCase				: List[str]											=	copy.deepcopy(__snake_case	)
								UpperCAmelCase				: str											=	self.config_class(**__snake_case	)
								UpperCAmelCase				: List[str]											=	[]
								for key, value in config_common_kwargs.items():
															if key == "torch_dtype":
																						if not is_torch_available():
																													continue
																						else:
																													import torch

																													if config.torch_dtype != torch.floataa:
																																				wrong_values.append(('''torch_dtype''', config.torch_dtype, torch.floataa)	)
															elif getattr(__snake_case	,    __snake_case	) != value:
																						wrong_values.append((key, getattr(__snake_case	,    __snake_case	), value)	)

								if len(__snake_case	) > 0:
															UpperCAmelCase				: Any											=	'''\n'''.join([F"""- {v[0]}: got {v[1]} instead of {v[2]}""" for v in wrong_values]	)
															raise ValueError(F"""The following keys were not properly set in the config:\n{errors}"""	)







	def   A			(		self    :  List[str]	)    ->	int:
								self.create_and_test_config_common_properties()
								self.create_and_test_config_to_json_string()
								self.create_and_test_config_to_json_file()
								self.create_and_test_config_from_and_save_pretrained()
								self.create_and_test_config_from_and_save_pretrained_subfolder()
								self.create_and_test_config_with_num_labels()
								self.check_config_can_be_init_without_params()
								self.check_config_arguments_init()










'''simple docstring'''






def 				snake_case_  (      _lowerCAmelCase						:		Tuple     ,   _lowerCAmelCase						:		Tuple     ,   _lowerCAmelCase						:		int     ,   _lowerCAmelCase						:		Tuple						)   ->     Union[str, Any]:
							# Return True if there is node that has not iterated.
							UpperCAmelCase				: Optional[Any]											=	[False] * len(_lowerCAmelCase						)
							UpperCAmelCase				: Dict											=	[]
							queue.append(_lowerCAmelCase						)
							UpperCAmelCase				: str											=	True

							while queue:
														UpperCAmelCase				: Optional[int]											=	queue.pop(0						)
														for ind in range(len(graph[u]						)						):
																					if visited[ind] is False and graph[u][ind] > 0:
																												queue.append(_lowerCAmelCase						)
																												UpperCAmelCase				: Union[str, Any]											=	True
																												UpperCAmelCase				: Optional[int]											=	u

							return visited[t]


def 				snake_case_  (      _lowerCAmelCase						:		Union[str, Any]     ,   _lowerCAmelCase						:		List[str]     ,   _lowerCAmelCase						:		List[str]						)   ->     Any:
							# This array is filled by BFS and to store path
							UpperCAmelCase				: Dict											=	[-1] * (len(_lowerCAmelCase						))
							UpperCAmelCase				: Any											=	0
							while bfs(_lowerCAmelCase     ,   _lowerCAmelCase     ,   _lowerCAmelCase     ,   _lowerCAmelCase						):
														UpperCAmelCase				: List[str]											=	float('''Inf'''						)
														UpperCAmelCase				: str											=	sink

														while s != source:
																					# Find the minimum value in select path
																					UpperCAmelCase				: int											=	min(_lowerCAmelCase     ,   graph[parent[s]][s]						)
																					UpperCAmelCase				: Tuple											=	parent[s]

														max_flow += path_flow
														UpperCAmelCase				: Optional[Any]											=	sink

														while v != source:
																					UpperCAmelCase				: Dict											=	parent[v]
																					graph[u][v] -= path_flow
																					graph[v][u] += path_flow
																					UpperCAmelCase				: Dict											=	parent[v]
							return max_flow


UpperCamelCase__:     Tuple										=    [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

UpperCamelCase__			,      UpperCamelCase__:     int										=    0, 5




print(ford_fulkerson(graph, source, sink))





