



'''simple docstring'''

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      __magic_name__						(   unittest.TestCase       ):







							def __init__(							self :	Union[str, Any]     ,_UpperCAmelCase :	Optional[int]     ,_UpperCAmelCase :	Any=2     ,_UpperCAmelCase :	int=56     ,_UpperCAmelCase :	Any=True     ,_UpperCAmelCase :	int=True     ,_UpperCAmelCase :	int=True     ,_UpperCAmelCase :	Any=True     ,_UpperCAmelCase :	Optional[int]=99     ,_UpperCAmelCase :	Union[str, Any]=32     ,_UpperCAmelCase :	Any=2     ,_UpperCAmelCase :	Optional[Any]=2     ,_UpperCAmelCase :	List[str]=7     ,_UpperCAmelCase :	Tuple="gelu_new"     ,_UpperCAmelCase :	List[Any]=0.1     ,_UpperCAmelCase :	str=0.1     ,_UpperCAmelCase :	List[Any]=512     ,_UpperCAmelCase :	List[Any]=16     ,_UpperCAmelCase :	Tuple=2     ,_UpperCAmelCase :	Dict=0.02     ,_UpperCAmelCase :	Tuple=4     ,_UpperCAmelCase :	List[str]="block_sparse"     ,_UpperCAmelCase :	List[Any]=True     ,_UpperCAmelCase :	List[str]=False     ,_UpperCAmelCase :	Union[str, Any]=2     ,_UpperCAmelCase :	Optional[int]=3     ,):
									_a					:				Any				=							parent
									_a					:				List[Any]				=							batch_size
									_a					:				str				=							seq_length
									_a					:				Tuple				=							is_training
									_a					:				Tuple				=							use_attention_mask
									_a					:				List[str]				=							use_token_type_ids
									_a					:				Optional[Any]				=							use_labels
									_a					:				str				=							vocab_size
									_a					:				Dict				=							hidden_size
									_a					:				str				=							num_hidden_layers
									_a					:				Any				=							num_attention_heads
									_a					:				Dict				=							intermediate_size
									_a					:				Union[str, Any]				=							hidden_act
									_a					:				Any				=							hidden_dropout_prob
									_a					:				int				=							attention_probs_dropout_prob
									_a					:				Any				=							max_position_embeddings
									_a					:				Any				=							type_vocab_size
									_a					:				Tuple				=							type_sequence_label_size
									_a					:				int				=							initializer_range
									_a					:				Tuple				=							num_choices

									_a					:				Optional[Any]				=							rescale_embeddings
									_a					:				Optional[Any]				=							attention_type
									_a					:				Optional[Any]				=							use_bias
									_a					:				Tuple				=							block_size
									_a					:				str				=							num_random_blocks







							def 							__lowercase      (							self :	Union[str, Any]		):
									_a					:				Optional[Any]				=							ids_tensor([self.batch_size, self.seq_length]     ,self.vocab_size		)

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

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

									_a					:				Tuple				=							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=_UpperCAmelCase     ,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 							__lowercase      (							self :	int		):
									_a					:				Union[str, Any]				=							self.prepare_config_and_inputs()
									_a					:				Tuple				=							config_and_inputs
									_a					:				Any				=							{
									    'input_ids': input_ids,
									    'token_type_ids': token_type_ids,
									    'attention_mask': attention_mask,
									}
									return config, inputs_dict

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

							lowerCAmelCase	:   Any           = False
							lowerCAmelCase	:   Any           = False







							def 							__lowercase      (							self :	Optional[int]		):
									_a					:				List[str]				=							FlaxBigBirdModelTester(self		)







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







							@slow
							# copied from `test_modeling_flax_common` because it takes much longer than other models
							def 							__lowercase      (							self :	int		):
									super().test_from_pretrained_with_no_automatic_init()







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







							@slow
							# copied from `test_modeling_flax_common` because it takes much longer than other models
							def 							__lowercase      (							self :	Any		):
									super().test_hidden_states_output()







							@slow
							def 							__lowercase      (							self :	Tuple		):
									for model_class_name in self.all_model_classes:
											_a					:				Optional[Any]				=							model_class_name.from_pretrained('google/bigbird-roberta-base'		)
											self.assertIsNotNone(_UpperCAmelCase		)







							def 							__lowercase      (							self :	int		):
									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 							__lowercase      (							self :	List[Any]		):
									_a					:				Optional[int]				=							self.model_tester.prepare_config_and_inputs_for_common()

									for model_class in self.all_model_classes:
											with self.subTest(model_class.__name__		):
													_a					:				Any				=							self._prepare_for_class(_UpperCAmelCase     ,_UpperCAmelCase		)
													_a					:				Dict				=							model_class(_UpperCAmelCase		)

													@jax.jit
													def model_jitted(_UpperCAmelCase :	List[Any]     ,_UpperCAmelCase :	Union[str, Any]=None     ,**_UpperCAmelCase :	int		):
															return model(input_ids=_UpperCAmelCase     ,attention_mask=_UpperCAmelCase     ,**_UpperCAmelCase		)

													with self.subTest('JIT Enabled'		):
															_a					:				List[Any]				=							model_jitted(**_UpperCAmelCase		).to_tuple()

													with self.subTest('JIT Disabled'		):
															with jax.disable_jit():
																	_a					:				Optional[int]				=							model_jitted(**_UpperCAmelCase		).to_tuple()

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







							def 							__lowercase      (							self :	Optional[Any]     ,_UpperCAmelCase :	int     ,_UpperCAmelCase :	List[str]     ,_UpperCAmelCase :	int     ,_UpperCAmelCase :	Any=1E-5     ,_UpperCAmelCase :	Union[str, Any]="outputs"     ,_UpperCAmelCase :	List[str]=None		):
									# `bigbird_block_sparse_attention` in `FlaxBigBird` returns `attention_probs = None`, while in PyTorch version,
									# an effort was done to return `attention_probs` (yet to be verified).
									if name.startswith('outputs.attentions'		):
											return
									else:
											super().check_pt_flax_outputs(_UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase		)









'''simple docstring'''

from __future__ import annotations

from collections.abc import Iterator
from typing import Any

class      __magic_name__						:







							def __init__(							self :	Dict     ,_UpperCAmelCase :	Any		):
									_a					:				Any				=							data
									_a					:				Node | None				=							None

class      __magic_name__						:







							def __init__(							self :	Any		):
									_a					:				int				=							None
									_a					:				Optional[int]				=							None







							def __iter__(							self :	Optional[int]		):
									_a					:				List[Any]				=							self.head
									while self.head:
											yield node.data
											_a					:				str				=							node.next
											if node == self.head:
													break







							def __len__(							self :	Any		):
									return sum(1 for _ in self		)







							def __repr__(							self :	int		):
									return "->".join(str(_UpperCAmelCase		) for item in iter(self		)		)







							def 							__lowercase      (							self :	Optional[Any]     ,_UpperCAmelCase :	Any		):
									self.insert_nth(len(self		)     ,_UpperCAmelCase		)







							def 							__lowercase      (							self :	str     ,_UpperCAmelCase :	Any		):
									self.insert_nth(0     ,_UpperCAmelCase		)







							def 							__lowercase      (							self :	List[str]     ,_UpperCAmelCase :	int     ,_UpperCAmelCase :	Any		):
									if index < 0 or index > len(self		):
											raise IndexError('list index out of range.'		)
									_a					:				List[str]				=							Node(_UpperCAmelCase		)
									if self.head is None:
											_a					:				Tuple				=							new_node  # first node points itself
											_a					:				int				=							new_node
									elif index == 0:  # insert at head
											_a					:				Any				=							self.head
											_a					:				Tuple				=							new_node
									else:
											_a					:				Any				=							self.head
											for _ in range(index - 1		):
													_a					:				int				=							temp.next
											_a					:				Optional[int]				=							temp.next
											_a					:				int				=							new_node
											if index == len(self		) - 1:  # insert at tail
													_a					:				Optional[int]				=							new_node







							def 							__lowercase      (							self :	List[Any]		):
									return self.delete_nth(0		)







							def 							__lowercase      (							self :	Dict		):
									return self.delete_nth(len(self		) - 1		)







							def 							__lowercase      (							self :	Union[str, Any]     ,_UpperCAmelCase :	int = 0		):
									if not 0 <= index < len(self		):
											raise IndexError('list index out of range.'		)
									_a					:				Optional[int]				=							self.head
									if self.head == self.tail:  # just one node
											_a					:				Optional[int]				=							None
									elif index == 0:  # delete head node
											_a					:				Dict				=							self.tail.next.next
											_a					:				Dict				=							self.head.next
									else:
											_a					:				List[Any]				=							self.head
											for _ in range(index - 1		):
													_a					:				Union[str, Any]				=							temp.next
											_a					:				Optional[int]				=							temp.next
											_a					:				List[str]				=							temp.next.next
											if index == len(self		) - 1:  # delete at tail
													_a					:				int				=							temp
									return delete_node.data







							def 							__lowercase      (							self :	int		):
									return len(self		) == 0



def 					__lowerCamelCase					(				)      ->				None:
		_a					:				int				=							CircularLinkedList()
		assert len(lowerCAmelCase_  ) == 0
		assert circular_linked_list.is_empty() is True
		assert str(lowerCAmelCase_  ) == ""

		try:
				circular_linked_list.delete_front()
				raise AssertionError  # This should not happen
		except IndexError:
				assert True  # This should happen

		try:
				circular_linked_list.delete_tail()
				raise AssertionError  # This should not happen
		except IndexError:
				assert True  # This should happen

		try:
				circular_linked_list.delete_nth(-1  )
				raise AssertionError
		except IndexError:
				assert True

		try:
				circular_linked_list.delete_nth(0  )
				raise AssertionError
		except IndexError:
				assert True

		assert circular_linked_list.is_empty() is True
		for i in range(5  ):
				assert len(lowerCAmelCase_  ) == i
				circular_linked_list.insert_nth(lowerCAmelCase_						,      i + 1  )
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(1						,      6  )  )

		circular_linked_list.insert_tail(6  )
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(1						,      7  )  )
		circular_linked_list.insert_head(0  )
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(0						,      7  )  )

		assert circular_linked_list.delete_front() == 0
		assert circular_linked_list.delete_tail() == 6
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(1						,      6  )  )
		assert circular_linked_list.delete_nth(2  ) == 3

		circular_linked_list.insert_nth(2						,      3  )
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(1						,      6  )  )

		assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
							import doctest

							doctest.testmod()




