


import unittest

from transformers import MPNetConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device

from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
from ...test_pipeline_mixin import PipelineTesterMixin


if is_torch_available():
				import torch

				from transformers import (
				    MPNetForMaskedLM,
				    MPNetForMultipleChoice,
				    MPNetForQuestionAnswering,
				    MPNetForSequenceClassification,
				    MPNetForTokenClassification,
				    MPNetModel,
				)



class  lowerCAmelCase				:



	def __init__(					self ,					snake_case__ ,					snake_case__=13 ,					snake_case__=7 ,					snake_case__=True ,					snake_case__=True ,					snake_case__=False ,					snake_case__=True ,					snake_case__=99 ,					snake_case__=64 ,					snake_case__=5 ,					snake_case__=4 ,					snake_case__=64 ,					snake_case__="gelu" ,					snake_case__=0.1 ,					snake_case__=0.1 ,					snake_case__=512 ,					snake_case__=16 ,					snake_case__=2 ,					snake_case__=0.0_2 ,					snake_case__=3 ,					snake_case__=4 ,					snake_case__=None ,					):
		lowerCAmelCase					:    int      							= parent
		lowerCAmelCase					:    Any      							= batch_size
		lowerCAmelCase					:    Dict      							= seq_length
		lowerCAmelCase					:    List[Any]      							= is_training
		lowerCAmelCase					:    List[str]      							= use_input_mask
		lowerCAmelCase					:    Dict      							= use_token_type_ids
		lowerCAmelCase					:    Tuple      							= use_labels
		lowerCAmelCase					:    List[Any]      							= vocab_size
		lowerCAmelCase					:    List[str]      							= hidden_size
		lowerCAmelCase					:    int      							= num_hidden_layers
		lowerCAmelCase					:    List[str]      							= num_attention_heads
		lowerCAmelCase					:    Optional[int]      							= intermediate_size
		lowerCAmelCase					:    List[Any]      							= hidden_act
		lowerCAmelCase					:    Optional[Any]      							= hidden_dropout_prob
		lowerCAmelCase					:    int      							= attention_probs_dropout_prob
		lowerCAmelCase					:    int      							= max_position_embeddings
		lowerCAmelCase					:    Dict      							= type_vocab_size
		lowerCAmelCase					:    List[str]      							= type_sequence_label_size
		lowerCAmelCase					:    Optional[Any]      							= initializer_range
		lowerCAmelCase					:    Tuple      							= num_labels
		lowerCAmelCase					:    List[Any]      							= num_choices
		lowerCAmelCase					:    List[str]      							= scope



	def 				lowercase     (					self    ):
		return MPNetConfig.from_pretrained('microsoft/mpnet-base'    )



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    str      							= ids_tensor([self.batch_size, self.seq_length] ,					self.vocab_size    )

		lowerCAmelCase					:    Dict      							= None
		if self.use_input_mask:
			lowerCAmelCase					:    Optional[Any]      							= random_attention_mask([self.batch_size, self.seq_length]    )

		lowerCAmelCase					:    str      							= None
		lowerCAmelCase					:    str      							= None
		lowerCAmelCase					:    Optional[int]      							= None
		if self.use_labels:
			lowerCAmelCase					:    Optional[int]      							= ids_tensor([self.batch_size] ,					self.type_sequence_label_size    )
			lowerCAmelCase					:    int      							= ids_tensor([self.batch_size, self.seq_length] ,					self.num_labels    )
			lowerCAmelCase					:    List[str]      							= ids_tensor([self.batch_size] ,					self.num_choices    )

		lowerCAmelCase					:    Optional[int]      							= self.get_config()
		return config, input_ids, input_mask, sequence_labels, token_labels, choice_labels



	def 				lowercase     (					self    ):
		return MPNetConfig(
		    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 ,					initializer_range=self.initializer_range ,					)



	def 				lowercase     (					self ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__    ):
		lowerCAmelCase					:    Union[str, Any]      							= MPNetModel(config=snake_case__    )
		model.to(snake_case__    )
		model.eval()
		lowerCAmelCase					:    str      							= model(snake_case__ ,					snake_case__    )
		lowerCAmelCase					:    Dict      							= model(snake_case__    )
		self.parent.assertEqual(result.last_hidden_state.shape ,					(self.batch_size, self.seq_length, self.hidden_size)    )
		self.parent.assertEqual(result.pooler_output.shape ,					(self.batch_size, self.hidden_size)    )



	def 				lowercase     (					self ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__    ):
		lowerCAmelCase					:    List[str]      							= MPNetForQuestionAnswering(config=snake_case__    )
		model.to(snake_case__    )
		model.eval()
		lowerCAmelCase					:    List[Any]      							= model(
		    snake_case__ ,					attention_mask=snake_case__ ,					start_positions=snake_case__ ,					end_positions=snake_case__ ,					)
		self.parent.assertEqual(result.start_logits.shape ,					(self.batch_size, self.seq_length)    )
		self.parent.assertEqual(result.end_logits.shape ,					(self.batch_size, self.seq_length)    )



	def 				lowercase     (					self ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__    ):
		lowerCAmelCase					:    str      							= self.num_labels
		lowerCAmelCase					:    Any      							= MPNetForSequenceClassification(snake_case__    )
		model.to(snake_case__    )
		model.eval()
		lowerCAmelCase					:    Optional[int]      							= model(snake_case__ ,					attention_mask=snake_case__ ,					labels=snake_case__    )
		self.parent.assertEqual(result.logits.shape ,					(self.batch_size, self.num_labels)    )



	def 				lowercase     (					self ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__    ):
		lowerCAmelCase					:    Optional[Any]      							= self.num_choices
		lowerCAmelCase					:    Optional[int]      							= MPNetForMultipleChoice(config=snake_case__    )
		model.to(snake_case__    )
		model.eval()
		lowerCAmelCase					:    int      							= input_ids.unsqueeze(1    ).expand(-1 ,					self.num_choices ,					-1    ).contiguous()
		lowerCAmelCase					:    Tuple      							= input_mask.unsqueeze(1    ).expand(-1 ,					self.num_choices ,					-1    ).contiguous()
		lowerCAmelCase					:    Tuple      							= model(
		    snake_case__ ,					attention_mask=snake_case__ ,					labels=snake_case__ ,					)
		self.parent.assertEqual(result.logits.shape ,					(self.batch_size, self.num_choices)    )



	def 				lowercase     (					self ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__ ,					snake_case__    ):
		lowerCAmelCase					:    Tuple      							= self.num_labels
		lowerCAmelCase					:    Optional[int]      							= MPNetForTokenClassification(config=snake_case__    )
		model.to(snake_case__    )
		model.eval()
		lowerCAmelCase					:    List[Any]      							= model(snake_case__ ,					attention_mask=snake_case__ ,					labels=snake_case__    )
		self.parent.assertEqual(result.logits.shape ,					(self.batch_size, self.seq_length, self.num_labels)    )



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    str      							= self.prepare_config_and_inputs()
		(lowerCAmelCase)					:    Optional[int]      							= config_and_inputs
		lowerCAmelCase					:    List[Any]      							= {'input_ids': input_ids, 'attention_mask': input_mask}
		return config, inputs_dict



@require_torch
class  lowerCAmelCase				(				a      ,				a      ,				unittest.TestCase							):
	_lowerCamelCase   :					List[str]			      = (
	    (
	        MPNetForMaskedLM,
	        MPNetForMultipleChoice,
	        MPNetForQuestionAnswering,
	        MPNetForSequenceClassification,
	        MPNetForTokenClassification,
	        MPNetModel,
	    )
	    if is_torch_available()
	    else ()
	)
	_lowerCamelCase   :					Dict			      = (
	    {
	        """feature-extraction""": MPNetModel,
	        """fill-mask""": MPNetForMaskedLM,
	        """question-answering""": MPNetForQuestionAnswering,
	        """text-classification""": MPNetForSequenceClassification,
	        """token-classification""": MPNetForTokenClassification,
	        """zero-shot""": MPNetForSequenceClassification,
	    }
	    if is_torch_available()
	    else {}
	)
	_lowerCamelCase   :					List[Any]			      = False
	_lowerCamelCase   :					Union[str, Any]			      = True



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    Any      							= MPNetModelTester(self    )
		lowerCAmelCase					:    int      							= ConfigTester(self ,					config_class=snake_case__ ,					hidden_size=37    )



	def 				lowercase     (					self    ):
		self.config_tester.run_common_tests()



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    Tuple      							= self.model_tester.prepare_config_and_inputs()
		self.model_tester.create_and_check_mpnet_model(*snake_case__    )



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    int      							= self.model_tester.prepare_config_and_inputs()
		self.model_tester.create_and_check_mpnet_for_sequence_classification(*snake_case__    )



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    Any      							= self.model_tester.prepare_config_and_inputs()
		self.model_tester.create_and_check_mpnet_for_multiple_choice(*snake_case__    )



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    str      							= self.model_tester.prepare_config_and_inputs()
		self.model_tester.create_and_check_mpnet_for_token_classification(*snake_case__    )



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    Optional[Any]      							= self.model_tester.prepare_config_and_inputs()
		self.model_tester.create_and_check_mpnet_for_question_answering(*snake_case__    )



@require_torch
class  lowerCAmelCase				(				unittest.TestCase							):



	@slow
	def 				lowercase     (					self    ):
		lowerCAmelCase					:    Union[str, Any]      							= MPNetModel.from_pretrained('microsoft/mpnet-base'    )
		lowerCAmelCase					:    str      							= torch.tensor([[0, 345, 232, 328, 740, 140, 1695, 69, 6078, 1588, 2]]    )
		lowerCAmelCase					:    Tuple      							= model(snake_case__    )[0]
		lowerCAmelCase					:    Optional[int]      							= torch.Size((1, 11, 768)    )
		self.assertEqual(output.shape ,					snake_case__    )
		lowerCAmelCase					:    Optional[Any]      							= torch.tensor(
		    [[[-0.0_5_5_0, 0.1_9_4_3, -0.0_7_4_0], [-0.0_5_6_2, 0.2_2_1_1, -0.0_5_7_9], [-0.0_4_3_7, 0.3_3_3_7, -0.0_6_4_1]]]    )
		# compare the actual values for a slice.
		self.assertTrue(torch.allclose(output[:, :3, :3] ,					snake_case__ ,					atol=1e-4    )    )




'''simple docstring'''




from typing import Any



class  lowerCAmelCase				:



	def __init__(					self ,					snake_case__    ):
		lowerCAmelCase					:    Optional[int]      							= data
		lowerCAmelCase					:    Optional[Any]      							= None



	def __repr__(					self    ):
		return f"Node({self.data})"



class  lowerCAmelCase				:



	def __init__(					self    ):
		lowerCAmelCase					:    Dict      							= None



	def __iter__(					self    ):
		lowerCAmelCase					:    Optional[Any]      							= self.head
		while node:
			yield node.data
			lowerCAmelCase					:    Optional[int]      							= node.next



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



	def __repr__(					self    ):
		return "->".join([str(snake_case__    ) for item in self]    )



	def __getitem__(					self ,					snake_case__    ):
		if not 0 <= index < len(self    ):
			raise ValueError('list index out of range.'    )
		for i, node in enumerate(self    ):
			if i == index:
				return node
		return None



	def __setitem__(					self ,					snake_case__ ,					snake_case__    ):
		if not 0 <= index < len(self    ):
			raise ValueError('list index out of range.'    )
		lowerCAmelCase					:    Any      							= self.head
		for _ in range(snake_case__    ):
			lowerCAmelCase					:    List[str]      							= current.next
		lowerCAmelCase					:    int      							= data



	def 				lowercase     (					self ,					snake_case__    ):
		self.insert_nth(len(self    ) ,					snake_case__    )



	def 				lowercase     (					self ,					snake_case__    ):
		self.insert_nth(0 ,					snake_case__    )



	def 				lowercase     (					self ,					snake_case__ ,					snake_case__    ):
		if not 0 <= index <= len(self    ):
			raise IndexError('list index out of range'    )
		lowerCAmelCase					:    List[str]      							= Node(snake_case__    )
		if self.head is None:
			lowerCAmelCase					:    int      							= new_node
		elif index == 0:
			lowerCAmelCase					:    List[Any]      							= self.head  # link new_node to head
			lowerCAmelCase					:    List[Any]      							= new_node
		else:
			lowerCAmelCase					:    List[Any]      							= self.head
			for _ in range(index - 1    ):
				lowerCAmelCase					:    Union[str, Any]      							= temp.next
			lowerCAmelCase					:    Any      							= temp.next
			lowerCAmelCase					:    str      							= new_node



	def 				lowercase     (					self    ):  # print every node data
		print(self    )



	def 				lowercase     (					self    ):
		return self.delete_nth(0    )



	def 				lowercase     (					self    ):  # delete from tail
		return self.delete_nth(len(self    ) - 1    )



	def 				lowercase     (					self ,					snake_case__ = 0    ):
		if not 0 <= index <= len(self    ) - 1:  # test if index is valid
			raise IndexError('List index out of range.'    )
		lowerCAmelCase					:    List[str]      							= self.head  # default first node
		if index == 0:
			lowerCAmelCase					:    Tuple      							= self.head.next
		else:
			lowerCAmelCase					:    Dict      							= self.head
			for _ in range(index - 1    ):
				lowerCAmelCase					:    Tuple      							= temp.next
			lowerCAmelCase					:    Dict      							= temp.next
			lowerCAmelCase					:    Tuple      							= temp.next.next
		return delete_node.data



	def 				lowercase     (					self    ):
		return self.head is None



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    List[Any]      							= None
		lowerCAmelCase					:    Any      							= self.head

		while current:
			# Store the current node's next node.
			lowerCAmelCase					:    List[str]      							= current.next
			# Make the current node's next point backwards
			lowerCAmelCase					:    int      							= prev
			# Make the previous node be the current node
			lowerCAmelCase					:    int      							= current
			# Make the current node the next node (to progress iteration)
			lowerCAmelCase					:    Optional[Any]      							= next_node
		# Return prev in order to put the head at the end
		lowerCAmelCase					:    List[Any]      							= prev


def 			__UpperCamelCase    (    )    ->      None:




	"""simple docstring"""





	lowerCAmelCase					:    Tuple      							= LinkedList()
	assert linked_list.is_empty() is True
	assert str(_A				) == ""

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

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

	for i in range(10				):
		assert len(_A				) == i
		linked_list.insert_nth(_A					,   i + 1				)
	assert str(_A				) == "->".join(str(_A				) for i in range(1					,   11				)				)

	linked_list.insert_head(0				)
	linked_list.insert_tail(11				)
	assert str(_A				) == "->".join(str(_A				) for i in range(0					,   12				)				)

	assert linked_list.delete_head() == 0
	assert linked_list.delete_nth(9				) == 10
	assert linked_list.delete_tail() == 11
	assert len(_A				) == 9
	assert str(_A				) == "->".join(str(_A				) for i in range(1					,   10				)				)

	assert all(linked_list[i] == i + 1 for i in range(0					,   9				)				) is True

	for i in range(0					,   9				):
		lowerCAmelCase					:    Optional[Any]      							= -i
	assert all(linked_list[i] == -i for i in range(0					,   9				)				) is True

	linked_list.reverse()
	assert str(_A				) == "->".join(str(_A				) for i in range(-8					,   1				)				)

def 			__UpperCamelCase    (    )    ->      None:




	"""simple docstring"""





	lowerCAmelCase					:    Optional[int]      							= [
	    -9,
	    1_00,
	    Node(77_34_51_12				),
	    'dlrow olleH',
	    7,
	    55_55,
	    0,
	    -1_92.5_55_55,
	    'Hello, world!',
	    77.9,
	    Node(10				),
	    None,
	    None,
	    12.20,
	]
	lowerCAmelCase					:    Dict      							= LinkedList()

	for i in test_input:
		linked_list.insert_tail(_A				)

	# Check if it's empty or not
	assert linked_list.is_empty() is False
	assert (
	    str(_A				) == "-9->100->Node(77345112)->dlrow olleH->7->5555->0->"
	    "-192.55555->Hello, world!->77.9->Node(10)->None->None->12.2"
	)

	# Delete the head
	lowerCAmelCase					:    Optional[Any]      							= linked_list.delete_head()
	assert result == -9
	assert (
	    str(_A				) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
	    "Hello, world!->77.9->Node(10)->None->None->12.2"
	)

	# Delete the tail
	lowerCAmelCase					:    List[str]      							= linked_list.delete_tail()
	assert result == 12.2
	assert (
	    str(_A				) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
	    "Hello, world!->77.9->Node(10)->None->None"
	)

	# Delete a node in specific location in linked list
	lowerCAmelCase					:    List[str]      							= linked_list.delete_nth(10				)
	assert result is None
	assert (
	    str(_A				) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
	    "Hello, world!->77.9->Node(10)->None"
	)

	# Add a Node instance to its head
	linked_list.insert_head(Node('Hello again, world!'				)				)
	assert (
	    str(_A				)
	    == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
	    "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None"
	)

	# Add None to its tail
	linked_list.insert_tail(_A				)
	assert (
	    str(_A				)
	    == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
	    "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None->None"
	)

	# Reverse the linked list
	linked_list.reverse()
	assert (
	    str(_A				)
	    == "None->None->Node(10)->77.9->Hello, world!->-192.55555->0->5555->"
	    "7->dlrow olleH->Node(77345112)->100->Node(Hello again, world!)"
	)

def 			__UpperCamelCase    (    )    ->      List[Any]:




	"""simple docstring"""





	from doctest import testmod

	testmod()

	lowerCAmelCase					:    Optional[Any]      							= LinkedList()
	linked_list.insert_head(input('Inserting 1st at head '				).strip()				)
	linked_list.insert_head(input('Inserting 2nd at head '				).strip()				)
	print('\nPrint list:'				)
	linked_list.print_list()
	linked_list.insert_tail(input('\nInserting 1st at tail '				).strip()				)
	linked_list.insert_tail(input('Inserting 2nd at tail '				).strip()				)
	print('\nPrint list:'				)
	linked_list.print_list()
	print('\nDelete head'				)
	linked_list.delete_head()
	print('Delete tail'				)
	linked_list.delete_tail()
	print('\nPrint list:'				)
	linked_list.print_list()
	print('\nReverse linked list'				)
	linked_list.reverse()
	print('\nPrint list:'				)
	linked_list.print_list()
	print('\nString representation of linked list:'				)
	print(_A				)
	print('\nReading/changing Node data using indexing:'				)
	print(F"Element at Position 1: {linked_list[1]}"				)
	lowerCAmelCase					:    Tuple      							= input('Enter New Value: '				).strip()
	print('New list:'				)
	print(_A				)
	print(F"length of linked_list is : {len(_A				)}"				)


if __name__ == "__main__":
				main()
