



'''simple docstring'''





class 							lowerCAmelCase_		:





				def __init__(    self    :    List[Any],    _snake_case    :    Any     ):



							'''simple docstring'''







							snake_case   :							Tuple						  =data
							snake_case   :							int						  =None
							snake_case   :							List[Any]						  =None






				def __str__(    self    :    List[str]     ):



							'''simple docstring'''







							return f'''{self.data}'''





class 							lowerCAmelCase_		:





				def __init__(    self    :    Optional[int]     ):



							'''simple docstring'''







							snake_case   :							Optional[int]						  =None
							snake_case   :							int						  =None





				def __iter__(    self    :    List[str]     ):



							'''simple docstring'''







							snake_case   :							str						  =self.head
							while node:
										yield node.data
										snake_case   :							Union[str, Any]						  =node.next





				def __str__(    self    :    List[str]     ):



							'''simple docstring'''







							return "->".join([str(_snake_case     ) for item in self]     )





				def __len__(    self    :    Dict     ):



							'''simple docstring'''







							return sum(1 for _ in self     )





				def 					__snake_case       (    self    :    List[Any],    _snake_case    :    str     ):



							'''simple docstring'''







							self.insert_at_nth(0,    _snake_case     )





				def 					__snake_case       (    self    :    Optional[Any],    _snake_case    :    Dict     ):



							'''simple docstring'''







							self.insert_at_nth(len(self     ),    _snake_case     )





				def 					__snake_case       (    self    :    Union[str, Any],    _snake_case    :    int,    _snake_case    :    Dict     ):



							'''simple docstring'''







							snake_case   :							Optional[int]						  =len(self     )

							if not 0 <= index <= length:
										raise IndexError('''list index out of range'''     )
							snake_case   :							int						  =Node(_snake_case     )
							if self.head is None:
										snake_case   :							Optional[Any]						  =new_node
							elif index == 0:
										snake_case   :							int						  =new_node
										snake_case   :							Union[str, Any]						  =self.head
										snake_case   :							Optional[int]						  =new_node
							elif index == length:
										snake_case   :							Dict						  =new_node
										snake_case   :							int						  =self.tail
										snake_case   :							Union[str, Any]						  =new_node
							else:
										snake_case   :							Optional[int]						  =self.head
										for _ in range(0,    _snake_case     ):
													snake_case   :							Union[str, Any]						  =temp.next
										snake_case   :							int						  =new_node
										snake_case   :							Union[str, Any]						  =temp.previous
										snake_case   :							List[Any]						  =temp
										snake_case   :							int						  =new_node





				def 					__snake_case       (    self    :    str     ):



							'''simple docstring'''







							return self.delete_at_nth(0     )





				def 					__snake_case       (    self    :    List[Any]     ):



							'''simple docstring'''







							return self.delete_at_nth(len(self     ) - 1     )





				def 					__snake_case       (    self    :    Union[str, Any],    _snake_case    :    int     ):



							'''simple docstring'''







							snake_case   :							Dict						  =len(self     )

							if not 0 <= index <= length - 1:
										raise IndexError('''list index out of range'''     )
							snake_case   :							List[str]						  =self.head  # default first node
							if length == 1:
										snake_case   :							Union[str, Any]						  =None
							elif index == 0:
										snake_case   :							Tuple						  =self.head.next
										snake_case   :							Optional[int]						  =None
							elif index == length - 1:
										snake_case   :							Union[str, Any]						  =self.tail
										snake_case   :							List[str]						  =self.tail.previous
										snake_case   :							int						  =None
							else:
										snake_case   :							int						  =self.head
										for _ in range(0,    _snake_case     ):
													snake_case   :							Any						  =temp.next
										snake_case   :							List[Any]						  =temp
										snake_case   :							Optional[Any]						  =temp.previous
										snake_case   :							int						  =temp.next
							return delete_node.data





				def 					__snake_case       (    self    :    List[Any],    _snake_case    :    Tuple     ):



							'''simple docstring'''







							snake_case   :							List[Any]						  =self.head

							while current.data != data:  # Find the position to delete
										if current.next:
													snake_case   :							Any						  =current.next
										else:  # We have reached the end an no value matches
													raise ValueError('''No data matching given value'''     )

							if current == self.head:
										self.delete_head()

							elif current == self.tail:
										self.delete_tail()

							else:  # Before: 1 <--> 2(current) <--> 3
										snake_case   :							Optional[int]						  =current.next  # 1 --> 3
										snake_case   :							List[Any]						  =current.previous  # 1 <--> 3
							return data






				def 					__snake_case       (    self    :    Any     ):



							'''simple docstring'''







							return len(self     ) == 0




def 		_a   (  ):
			snake_case   :							Optional[Any]						  =DoublyLinkedList()
			assert linked_list.is_empty() is True
			assert str(lowerCamelCase_							) == ""

			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(lowerCamelCase_							) == i
						linked_list.insert_at_nth(lowerCamelCase_					,						i + 1							)
			assert str(lowerCamelCase_							) == "->".join(str(lowerCamelCase_							) for i in range(1					,						11							)							)

			linked_list.insert_at_head(0							)
			linked_list.insert_at_tail(11							)
			assert str(lowerCamelCase_							) == "->".join(str(lowerCamelCase_							) for i in range(0					,						12							)							)

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


if __name__ == "__main__":
						from doctest import testmod

						testmod()










'''simple docstring'''





import os
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
      import torch

      from transformers import GPTaLMHeadModel





@require_torch
@require_sentencepiece
@require_tokenizers
class 							lowerCAmelCase_		(	unittest.TestCase						):





    @slow
    @unittest.skip('''Model is not available.'''     )
    def 					__snake_case       (    self    :    List[Any]     ):



       '''simple docstring'''







       snake_case   :							Any						  ='''nvidia/megatron-gpt2-345m/'''
       if "MYDIR" in os.environ:
          snake_case   :							Any						  =os.path.join(os.environ['''MYDIR'''],    _snake_case     )
       snake_case   :							Optional[Any]						  =GPTaLMHeadModel.from_pretrained(_snake_case     )
       model.to(_snake_case     )
       model.half()

       snake_case   :							int						  =torch.tensor(
           [[101, 7_110, 1_005, 1_056, 2_023, 11_333, 17_413, 1_029, 102]],    device=_snake_case,    dtype=torch.long,    )

       with torch.no_grad():
          snake_case   :							Dict						  =model(_snake_case     ).logits

       snake_case   :							Dict						  =torch.Size((1, 9, 50_257)     )
       self.assertEqual(output.shape,    _snake_case     )

       snake_case   :							str						  =torch.tensor(
           [
               4.9414,
               -0.2920,
               -1.2148,
               -4.0273,
               -0.5161,
               -5.2109,
               -1.2412,
               -1.8301,
               -1.7734,
               -4.7148,
               -0.2317,
               -1.0811,
               -2.1777,
               0.4141,
               -3.7969,
               -4.0586,
               -2.5332,
               -3.3809,
               4.3867,
           ],    device=_snake_case,    dtype=torch.half,    )

       for i in range(19     ):
          snake_case  ,    snake_case   :							Tuple						  =8 * i // 17, 2_792 * i  # along the diagonal
          snake_case  ,    snake_case   :							List[str]						  =output[0, r, c], expected_diag[i]
          snake_case   :							Optional[int]						  =f'''row={r} col={c} computed={computed} expected={expected}'''
          self.assertAlmostEqual(_snake_case,    _snake_case,    delta=1E-4,    msg=_snake_case     )





