






import unittest

import numpy as np

from transformers import DistilBertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask


if is_flax_available():
	import jax.numpy as jnp

	from transformers.models.distilbert.modeling_flax_distilbert import (
	    FlaxDistilBertForMaskedLM,
	    FlaxDistilBertForMultipleChoice,
	    FlaxDistilBertForQuestionAnswering,
	    FlaxDistilBertForSequenceClassification,
	    FlaxDistilBertForTokenClassification,
	    FlaxDistilBertModel,
	)


class 					_snake_case						(			unittest.TestCase ):






	def __init__(		self					,UpperCamelCase					,UpperCamelCase=13					,UpperCamelCase=7					,UpperCamelCase=True					,UpperCamelCase=True					,UpperCamelCase=True					,UpperCamelCase=True					,UpperCamelCase=99					,UpperCamelCase=32					,UpperCamelCase=5					,UpperCamelCase=4					,UpperCamelCase=37					,UpperCamelCase="gelu"					,UpperCamelCase=0.1					,UpperCamelCase=0.1					,UpperCamelCase=512					,UpperCamelCase=16					,UpperCamelCase=2					,UpperCamelCase=0.02					,UpperCamelCase=4					,)						->    int:
					snake_case__      :Union[str, Any]         =   parent
					snake_case__      :Union[str, Any]         =   batch_size
					snake_case__      :int         =   seq_length
					snake_case__      :List[str]         =   is_training
					snake_case__      :Optional[int]         =   use_attention_mask
					snake_case__      :Dict         =   use_token_type_ids
					snake_case__      :Union[str, Any]         =   use_labels
					snake_case__      :str         =   vocab_size
					snake_case__      :Tuple         =   hidden_size
					snake_case__      :List[Any]         =   num_hidden_layers
					snake_case__      :Any         =   num_attention_heads
					snake_case__      :Optional[Any]         =   intermediate_size
					snake_case__      :Union[str, Any]         =   hidden_act
					snake_case__      :Any         =   hidden_dropout_prob
					snake_case__      :Union[str, Any]         =   attention_probs_dropout_prob
					snake_case__      :Union[str, Any]         =   max_position_embeddings
					snake_case__      :Tuple         =   type_vocab_size
					snake_case__      :Any         =   type_sequence_label_size
					snake_case__      :str         =   initializer_range
					snake_case__      :int         =   num_choices






	def    lowerCAmelCase_							(		self       )						->    List[str]:
					snake_case__      :Tuple         =   ids_tensor([self.batch_size, self.seq_length]					,self.vocab_size       )

					snake_case__      :str         =   None
					if self.use_attention_mask:
									snake_case__      :Tuple         =   random_attention_mask([self.batch_size, self.seq_length]       )

					snake_case__      :Optional[int]         =   DistilBertConfig(
					    vocab_size=self.vocab_size					,dim=self.hidden_size					,n_layers=self.num_hidden_layers					,n_heads=self.num_attention_heads					,hidden_dim=self.intermediate_size					,hidden_act=self.hidden_act					,dropout=self.hidden_dropout_prob					,attention_dropout=self.attention_probs_dropout_prob					,max_position_embeddings=self.max_position_embeddings					,initializer_range=self.initializer_range					,tie_weights_=lowerCamelCase__					,)

					return config, input_ids, attention_mask






	def    lowerCAmelCase_							(		self       )						->    Tuple:
					snake_case__      :Any         =   self.prepare_config_and_inputs()
					snake_case__      :List[str]         =   config_and_inputs
					snake_case__      :Tuple         =   {'''input_ids''': input_ids, '''attention_mask''': attention_mask}
					return config, inputs_dict




@require_flax
class 					_snake_case						(			__lowerCAmelCase       ,    unittest.TestCase ):
	_A          =   (
	    (
	        FlaxDistilBertModel,
	        FlaxDistilBertForMaskedLM,
	        FlaxDistilBertForMultipleChoice,
	        FlaxDistilBertForQuestionAnswering,
	        FlaxDistilBertForSequenceClassification,
	        FlaxDistilBertForTokenClassification,
	        FlaxDistilBertForQuestionAnswering,
	    )
	    if is_flax_available()
	    else ()
	)






	def    lowerCAmelCase_							(		self       )						->    Optional[Any]:
					snake_case__      :Optional[Any]         =   FlaxDistilBertModelTester(self       )






	@slow
	def    lowerCAmelCase_							(		self       )						->    int:






					for model_class_name in self.all_model_classes:
									snake_case__      :List[Any]         =   model_class_name.from_pretrained("distilbert-base-uncased"       )
									snake_case__      :List[str]         =   model(np.ones((1, 1)       )       )
									self.assertIsNotNone(lowerCamelCase__       )




@require_flax
class 					_snake_case						(			unittest.TestCase ):






	@slow
	def    lowerCAmelCase_							(		self       )						->    str:
					snake_case__      :Any         =   FlaxDistilBertModel.from_pretrained("distilbert-base-uncased"       )
					snake_case__      :Optional[Any]         =   np.array([[0, 345, 232, 328, 740, 140, 1_695, 69, 6_078, 1_588, 2]]       )
					snake_case__      :int         =   np.array([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]       )
					snake_case__      :Optional[int]         =   model(lowerCamelCase__					,attention_mask=lowerCamelCase__       )[0]
					snake_case__      :Optional[int]         =   (1, 11, 768)
					self.assertEqual(output.shape					,lowerCamelCase__       )
					snake_case__      :Optional[int]         =   np.array([[[-0.1639, 0.3299, 0.1648], [-0.1746, 0.3289, 0.1710], [-0.1884, 0.3357, 0.1810]]]       )

					self.assertTrue(jnp.allclose(output[:, 1:4, 1:4]					,lowerCamelCase__					,atol=1E-4       )       )







__UpperCAmelCase							:   int							=  {"a": ["c", "b"], "b": ["d", "e"], "c": [], "d": [], "e": []}
__UpperCAmelCase							:   List[str]							=  ["a", "b", "c", "d", "e"]





def 					lowercase_ (    __snake_case     :							Optional[Any]	,	__snake_case     :							List[Any]	,	__snake_case     :							Tuple      )     -> Optional[int]:





				'''simple docstring'''


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


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