




import unittest

from transformers import BigBirdConfig, 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

		from transformers.models.big_bird.modeling_flax_big_bird import (
		    FlaxBigBirdForCausalLM,
		    FlaxBigBirdForMaskedLM,
		    FlaxBigBirdForMultipleChoice,
		    FlaxBigBirdForPreTraining,
		    FlaxBigBirdForQuestionAnswering,
		    FlaxBigBirdForSequenceClassification,
		    FlaxBigBirdForTokenClassification,
		    FlaxBigBirdModel,
		)

class 		__lowerCAmelCase	(	unittest.TestCase ):
							def __init__(						self						:Optional[Any]		,      __magic_name__						:int		,      __magic_name__						:List[str]=2		,      __magic_name__						:Optional[int]=56		,      __magic_name__						:Optional[int]=True		,      __magic_name__						:str=True		,      __magic_name__						:Optional[int]=True		,      __magic_name__						:str=True		,      __magic_name__						:Union[str, Any]=99		,      __magic_name__						:Any=32		,      __magic_name__						:Any=2		,      __magic_name__						:Optional[int]=2		,      __magic_name__						:Optional[int]=7		,      __magic_name__						:str="gelu_new"		,      __magic_name__						:Dict=0.1		,      __magic_name__						:List[str]=0.1		,      __magic_name__						:Any=512		,      __magic_name__						:Optional[Any]=16		,      __magic_name__						:int=2		,      __magic_name__						:int=0.02		,      __magic_name__						:List[Any]=4		,      __magic_name__						:Any="block_sparse"		,      __magic_name__						:List[str]=True		,      __magic_name__						:Tuple=False		,      __magic_name__						:Union[str, Any]=2		,      __magic_name__						:Dict=3		,      ):







								'''simple docstring'''







								a										=							parent
								a										=							batch_size
								a										=							seq_length
								a										=							is_training
								a										=							use_attention_mask
								a										=							use_token_type_ids
								a										=							use_labels
								a										=							vocab_size
								a										=							hidden_size
								a										=							num_hidden_layers
								a										=							num_attention_heads
								a										=							intermediate_size
								a										=							hidden_act
								a										=							hidden_dropout_prob
								a										=							attention_probs_dropout_prob
								a										=							max_position_embeddings
								a										=							type_vocab_size
								a										=							type_sequence_label_size
								a										=							initializer_range
								a										=							num_choices

								a										=							rescale_embeddings
								a										=							attention_type
								a										=							use_bias
								a										=							block_size
								a										=							num_random_blocks
							def       lowerCamelCase__							(						self						:List[str]				):







								'''simple docstring'''







								a										=							ids_tensor([self.batch_size, self.seq_length]		,      self.vocab_size				)

								a										=							None
								if self.use_attention_mask:
									a										=							random_attention_mask([self.batch_size, self.seq_length]				)

								a										=							None
								if self.use_token_type_ids:
									a										=							ids_tensor([self.batch_size, self.seq_length]		,      self.type_vocab_size				)

								a										=							BigBirdConfig(
								    vocab_size=self.vocab_size		,      hidden_size=self.hidden_size		,      num_hidden_layers=self.num_hidden_layers		,      num_attention_heads=self.num_attention_heads		,      intermediate_size=self.intermediate_size		,      hidden_act=self.hidden_act		,      hidden_dropout_prob=self.hidden_dropout_prob		,      attention_probs_dropout_prob=self.attention_probs_dropout_prob		,      max_position_embeddings=self.max_position_embeddings		,      type_vocab_size=self.type_vocab_size		,      is_decoder=__magic_name__		,      initializer_range=self.initializer_range		,      attention_type=self.attention_type		,      block_size=self.block_size		,      num_random_blocks=self.num_random_blocks		,      use_bias=self.use_bias		,      rescale_embeddings=self.rescale_embeddings		,      )

								return config, input_ids, token_type_ids, attention_mask





							def       lowerCamelCase__							(						self						:int				):







								'''simple docstring'''







								a										=							self.prepare_config_and_inputs()
								a				, a				, a				, a										=							config_and_inputs
								a										=							{
								    """input_ids""": input_ids,
								    """token_type_ids""": token_type_ids,
								    """attention_mask""": attention_mask,
								}
								return config, inputs_dict







@require_flax
class 		__lowerCAmelCase	(	__magic_name__      ,       unittest.TestCase ):
							UpperCamelCase__					     =  (
							    (
							        FlaxBigBirdForCausalLM,
							        FlaxBigBirdModel,
							        FlaxBigBirdForPreTraining,
							        FlaxBigBirdForMaskedLM,
							        FlaxBigBirdForMultipleChoice,
							        FlaxBigBirdForQuestionAnswering,
							        FlaxBigBirdForSequenceClassification,
							        FlaxBigBirdForTokenClassification,
							    )
							    if is_flax_available()
							    else ()
							)

							UpperCamelCase__					     =  False
							UpperCamelCase__					     =  False
							def       lowerCamelCase__							(						self						:Any				):







								'''simple docstring'''







								a										=							FlaxBigBirdModelTester(self				)
							@slow
							# copied from `test_modeling_flax_common` because it takes much longer than other models
							def       lowerCamelCase__							(						self						:Optional[Any]				):







								'''simple docstring'''







								super().test_from_pretrained_save_pretrained()
							@slow
							# copied from `test_modeling_flax_common` because it takes much longer than other models
							def       lowerCamelCase__							(						self						:Dict				):







								'''simple docstring'''







								super().test_from_pretrained_with_no_automatic_init()
							@slow
							# copied from `test_modeling_flax_common` because it takes much longer than other models
							def       lowerCamelCase__							(						self						:Union[str, Any]				):







								'''simple docstring'''







								super().test_no_automatic_init()
							@slow
							# copied from `test_modeling_flax_common` because it takes much longer than other models
							def       lowerCamelCase__							(						self						:str				):







								'''simple docstring'''







								super().test_hidden_states_output()
							@slow
							def       lowerCamelCase__							(						self						:str				):







								'''simple docstring'''







								for model_class_name in self.all_model_classes:
									a										=							model_class_name.from_pretrained("""google/bigbird-roberta-base"""				)
									self.assertIsNotNone(__magic_name__				)
							def       lowerCamelCase__							(						self						:List[str]				):







								'''simple docstring'''







								if self.test_attn_probs:
									super().test_attention_outputs()
							@slow
							# copied from `test_modeling_flax_common` because it takes much longer than other models
							def       lowerCamelCase__							(						self						:Tuple				):







								'''simple docstring'''







								a				, a										=							self.model_tester.prepare_config_and_inputs_for_common()

								for model_class in self.all_model_classes:
									with self.subTest(model_class.__name__				):
										a										=							self._prepare_for_class(__magic_name__		,      __magic_name__				)
										a										=							model_class(__magic_name__				)

										@jax.jit
										def model_jitted(__magic_name__						:Dict		,      __magic_name__						:Optional[int]=None		,      **__magic_name__						:str				):
											return model(input_ids=__magic_name__		,      attention_mask=__magic_name__		,      **__magic_name__				)

										with self.subTest("""JIT Enabled"""				):
											a										=							model_jitted(**__magic_name__				).to_tuple()

										with self.subTest("""JIT Disabled"""				):
											with jax.disable_jit():
												a										=							model_jitted(**__magic_name__				).to_tuple()

										self.assertEqual(len(__magic_name__				)		,      len(__magic_name__				)				)
										for jitted_output, output in zip(__magic_name__		,      __magic_name__				):
											self.assertEqual(jitted_output.shape		,      output.shape				)





							def       lowerCamelCase__							(						self						:int		,      __magic_name__						:Optional[Any]		,      __magic_name__						:Tuple		,      __magic_name__						:List[str]		,      __magic_name__						:List[str]=1E-5		,      __magic_name__						:str="outputs"		,      __magic_name__						:Any=None				):







								'''simple docstring'''







								if name.startswith("""outputs.attentions"""				):
									return
								else:
									super().check_pt_flax_outputs(__magic_name__		,      __magic_name__		,      __magic_name__		,      __magic_name__		,      __magic_name__		,      __magic_name__				)







from __future__ import annotations

from collections.abc import Iterator

class 		__lowerCAmelCase	:
							def __init__(						self						:Optional[Any]		,      __magic_name__						:int				):







								'''simple docstring'''







								a										=							value
								a										=							None
								a										=							None







class 		__lowerCAmelCase	:
							def __init__(						self						:str		,      __magic_name__						:Node				):







								'''simple docstring'''







								a										=							tree
							def       lowerCamelCase__							(						self						:str		,      __magic_name__						:Node | None				):







								'''simple docstring'''







								if node is None:
									return 0
								return node.value + (
								    self.depth_first_search(node.left				) + self.depth_first_search(node.right				)
								)





							def __iter__(						self						:Tuple				):







								'''simple docstring'''







								yield self.depth_first_search(self.tree				)


if __name__ == "__main__":
		import doctest

		doctest.testmod()

