



import unittest

from transformers import AutoConfig, AutoTokenizer, BertConfig, TensorType, is_flax_available
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, slow


if is_flax_available():
				import jax

				from transformers.models.auto.modeling_flax_auto import FlaxAutoModel
				from transformers.models.bert.modeling_flax_bert import FlaxBertModel
				from transformers.models.roberta.modeling_flax_roberta import FlaxRobertaModel
@require_flax
class 					__A       (			unittest.TestCase   ):





			@slow
			def 							_snake_case     (self					):
						for model_name in ["bert-base-cased", "bert-large-uncased"]:
									with self.subTest(snake_case__					):
												lowerCamelCase__			:   Union[str, Any]										=		AutoConfig.from_pretrained(snake_case__					)
												self.assertIsNotNone(snake_case__					)
												self.assertIsInstance(snake_case__				,     snake_case__					)

												lowerCamelCase__			:   List[Any]										=		FlaxAutoModel.from_pretrained(snake_case__					)
												self.assertIsNotNone(snake_case__					)
												self.assertIsInstance(snake_case__				,     snake_case__					)





			@slow
			def 							_snake_case     (self					):
						for model_name in ["roberta-base", "roberta-large"]:
									with self.subTest(snake_case__					):
												lowerCamelCase__			:   Optional[Any]										=		AutoConfig.from_pretrained(snake_case__					)
												self.assertIsNotNone(snake_case__					)
												self.assertIsInstance(snake_case__				,     snake_case__					)

												lowerCamelCase__			:   Optional[int]										=		FlaxAutoModel.from_pretrained(snake_case__					)
												self.assertIsNotNone(snake_case__					)
												self.assertIsInstance(snake_case__				,     snake_case__					)





			@slow
			def 							_snake_case     (self					):
						for model_name in ["bert-base-cased", "bert-large-uncased"]:
									lowerCamelCase__			:   Optional[Any]										=		AutoTokenizer.from_pretrained(snake_case__					)
									lowerCamelCase__			:   Any										=		FlaxBertModel.from_pretrained(snake_case__					)
									lowerCamelCase__			:   Union[str, Any]										=		tokenizer("""Do you support jax jitted function?"""				,     return_tensors=TensorType.JAX					)

									@jax.jit
									def eval(**__magic_name__					):
												return model(**snake_case__					)

									eval(**snake_case__					).block_until_ready()





			@slow
			def 							_snake_case     (self					):
						for model_name in ["roberta-base", "roberta-large"]:
									lowerCamelCase__			:   Optional[int]										=		AutoTokenizer.from_pretrained(snake_case__					)
									lowerCamelCase__			:   Any										=		FlaxRobertaModel.from_pretrained(snake_case__					)
									lowerCamelCase__			:   Dict										=		tokenizer("""Do you support jax jitted function?"""				,     return_tensors=TensorType.JAX					)

									@jax.jit
									def eval(**__magic_name__					):
												return model(**snake_case__					)

									eval(**snake_case__					).block_until_ready()





			def 							_snake_case     (self					):
						with self.assertRaisesRegex(
						    snake_case__				,     """bert-base is not a local folder and is not a valid model identifier"""					):
									lowerCamelCase__			:   Union[str, Any]										=		FlaxAutoModel.from_pretrained("""bert-base"""					)





			def 							_snake_case     (self					):
						with self.assertRaisesRegex(
						    snake_case__				,     R"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""					):
									lowerCamelCase__			:   int										=		FlaxAutoModel.from_pretrained(snake_case__				,     revision="""aaaaaa"""					)





			def 							_snake_case     (self					):
						with self.assertRaisesRegex(
						    snake_case__				,     """hf-internal-testing/config-no-model does not appear to have a file named flax_model.msgpack"""				,     ):
									lowerCamelCase__			:   List[str]										=		FlaxAutoModel.from_pretrained("""hf-internal-testing/config-no-model"""					)





			def 							_snake_case     (self					):
						with self.assertRaisesRegex(snake_case__				,     """Use `from_pt=True` to load this model"""					):
									lowerCamelCase__			:   Tuple										=		FlaxAutoModel.from_pretrained("""hf-internal-testing/tiny-bert-pt-only"""					)










UpperCAmelCase_							=				{"""a""": ["""c""", """b"""], """b""": ["""d""", """e"""], """c""": [], """d""": [], """e""": []}
UpperCAmelCase_							=				["""a""", """b""", """c""", """d""", """e"""]





def  __magic_name__  (				lowercase				,       lowercase				,       lowercase				)				-> Union[str, Any]:

							"""simple docstring"""



							lowercase_	:   Tuple  				=     start
							# add current to visited
							visited.append(lowercase				)
							lowercase_	:   Any  				=     edges[current]
							for neighbor in neighbors:
														# if neighbor not in visited, visit
														if neighbor not in visited:
																					lowercase_	:   List[str]  				=     topological_sort(lowercase				,       lowercase				,       lowercase				)
    # if all neighbors visited add current to sort
							sort.append(lowercase				)
							# if all vertices haven't been visited select a new one to visit
							if len(lowercase				) != len(lowercase				):
														for vertice in vertices:
																					if vertice not in visited:
																												lowercase_	:   Optional[Any]  				=     topological_sort(lowercase				,       lowercase				,       lowercase				)
    # return sort
							return sort


if __name__ == "__main__":
							UpperCAmelCase_							=				topological_sort("""a""", [], [])
							print(sort)