"""simple docstring"""



from collections import OrderedDict
from typing import Any, List, Mapping, Optional

from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast, PatchingSpec
from ...utils import logging


__lowercase		:		Tuple														=							logging.get_logger(__name__)

__lowercase		:		Any														=							{
    "EleutherAI/gpt-j-6B": "https://huggingface.co/EleutherAI/gpt-j-6B/resolve/main/config.json",
    # See all GPT-J models at https://huggingface.co/models?filter=gpt_j
}





class      _A	(						_UpperCAmelCase					):




    """simple docstring"""




    UpperCamelCase_	:					int							=					'''gptj'''
    UpperCamelCase_	:					int							=					{
        '''max_position_embeddings''': '''n_positions''',
        '''hidden_size''': '''n_embd''',
        '''num_attention_heads''': '''n_head''',
        '''num_hidden_layers''': '''n_layer''',
    }
    def __init__(		self							:     Any	,      A_							:     Optional[int]=50_400	,      A_							:     Tuple=2_048	,      A_							:     Dict=4_096	,      A_							:     Dict=28	,      A_							:     Tuple=16	,      A_							:     int=64	,      A_							:     Any=None	,      A_							:     Union[str, Any]="gelu_new"	,      A_							:     List[Any]=0.0	,      A_							:     Dict=0.0	,      A_							:     int=0.0	,      A_							:     str=1E-5	,      A_							:     List[str]=0.02	,      A_							:     Any=True	,      A_							:     List[str]=50_256	,      A_							:     Union[str, Any]=50_256	,      A_							:     Any=False	,      **A_							:     List[str]	,      )    ->       Dict:
         __snake_case				=							vocab_size
         __snake_case				=							n_positions
         __snake_case				=							n_embd
         __snake_case				=							n_layer
         __snake_case				=							n_head
         __snake_case				=							n_inner
         __snake_case				=							rotary_dim
         __snake_case				=							activation_function
         __snake_case				=							resid_pdrop
         __snake_case				=							embd_pdrop
         __snake_case				=							attn_pdrop
         __snake_case				=							layer_norm_epsilon
         __snake_case				=							initializer_range
         __snake_case				=							use_cache

         __snake_case				=							bos_token_id
         __snake_case				=							eos_token_id

         super().__init__(
             bos_token_id=A_	,      eos_token_id=A_	,      tie_word_embeddings=A_	,      **A_    )






class      _A	(						_UpperCAmelCase					):




    """simple docstring"""




    def __init__(		self							:     Any	,      A_							:     PretrainedConfig	,      A_							:     str = "default"	,      A_							:     List[PatchingSpec] = None	,      A_							:     bool = False	,      )    ->       str:
         super().__init__(A_	,      task=A_	,      patching_specs=A_	,      use_past=A_    )
         if not getattr(self._config	,      '''pad_token_id'''	,      A_    ):
              # TODO: how to do that better?
              __snake_case				=							0
    @property
    def  lowercase					(		self							:     Any    )    ->       Mapping[str, Mapping[int, str]]:
         __snake_case				=							OrderedDict({'''input_ids''': {0: '''batch''', 1: '''sequence'''}}    )
         if self.use_past:
              self.fill_with_past_key_values_(A_	,      direction='''inputs'''    )
              __snake_case				=							{0: '''batch''', 1: '''past_sequence + sequence'''}
         else:
              __snake_case				=							{0: '''batch''', 1: '''sequence'''}

         return common_inputs
    @property
    def  lowercase					(		self							:     Dict    )    ->       int:
         return self._config.n_layer
    @property
    def  lowercase					(		self							:     Any    )    ->       int:
         return self._config.n_head
    def  lowercase					(		self							:     Any	,      A_							:     PreTrainedTokenizer	,      A_							:     int = -1	,      A_							:     int = -1	,      A_							:     bool = False	,      A_							:     Optional[TensorType] = None	,      )    ->       Mapping[str, Any]:
         __snake_case				=							super(A_	,      self    ).generate_dummy_inputs(
             A_	,      batch_size=A_	,      seq_length=A_	,      is_pair=A_	,      framework=A_    )

         # We need to order the input in the way they appears in the forward()
         __snake_case				=							OrderedDict({'''input_ids''': common_inputs['''input_ids''']}    )

         # Need to add the past_keys
         if self.use_past:
              if not is_torch_available():
                   raise ValueError('''Cannot generate dummy past_keys inputs without PyTorch installed.'''    )
              else:
                   import torch

                   __snake_case		,	__snake_case				=							common_inputs['''input_ids'''].shape
                   # Not using the same length for past_key_values
                   __snake_case				=							seqlen + 2
                   __snake_case				=							(
                       batch,
                       self.num_attention_heads,
                       past_key_values_length,
                       self._config.hidden_size // self.num_attention_heads,
                   )
                   __snake_case				=							[
                       (torch.zeros(A_    ), torch.zeros(A_    )) for _ in range(self.num_layers    )
                   ]

         __snake_case				=							common_inputs['''attention_mask''']
         if self.use_past:
              __snake_case				=							ordered_inputs['''attention_mask'''].dtype
              __snake_case				=							torch.cat(
                  [ordered_inputs['''attention_mask'''], torch.ones(A_	,      A_	,      dtype=A_    )]	,      dim=1    )

         return ordered_inputs







    @property
    def  lowercase					(		self							:     List[Any]    )    ->       int:
         return 13
"""simple docstring"""



from __future__ import annotations

from collections.abc import Iterator
from typing import Any



class      _A	:




    """simple docstring"""




    def __init__(		self							:     Tuple	,      A_							:     Any    )    ->       Union[str, Any]:
         __snake_case				=							data
         __snake_case				=							None






class      _A	:




    """simple docstring"""




    def __init__(		self							:     Union[str, Any]    )    ->       List[Any]:
         __snake_case				=							None
         __snake_case				=							None
    def __iter__(		self							:     Optional[Any]    )    ->       Iterator[Any]:
         __snake_case				=							self.head
         while self.head:
              yield node.data
              __snake_case				=							node.next
              if node == self.head:
                   break
    def __len__(		self							:     List[Any]    )    ->       int:
         return sum(1 for _ in self    )
    def __repr__(		self							:     Optional[int]    )    ->       Union[str, Any]:
         return "->".join(str(A_    ) for item in iter(self    )    )
    def  lowercase					(		self							:     int	,      A_							:     Any    )    ->       None:
         self.insert_nth(len(self    )	,      A_    )
    def  lowercase					(		self							:     List[str]	,      A_							:     Any    )    ->       None:
         self.insert_nth(0	,      A_    )
    def  lowercase					(		self							:     List[Any]	,      A_							:     int	,      A_							:     Any    )    ->       None:
         if index < 0 or index > len(self    ):
              raise IndexError('''list index out of range.'''    )
         __snake_case				=							Node(A_    )
         if self.head is None:
              __snake_case				=							new_node  # first node points itself
              __snake_case				=							__snake_case				=							new_node
         elif index == 0:  # insert at head
              __snake_case				=							self.head
              __snake_case				=							__snake_case				=							new_node
         else:
              __snake_case				=							self.head
              for _ in range(index - 1    ):
                   __snake_case				=							temp.next
              __snake_case				=							temp.next
              __snake_case				=							new_node
              if index == len(self    ) - 1:  # insert at tail
                   __snake_case				=							new_node
    def  lowercase					(		self							:     int    )    ->       str:
         return self.delete_nth(0    )
    def  lowercase					(		self							:     List[Any]    )    ->       Any:
         return self.delete_nth(len(self    ) - 1    )
    def  lowercase					(		self							:     List[str]	,      A_							:     int = 0    )    ->       Any:
         if not 0 <= index < len(self    ):
              raise IndexError('''list index out of range.'''    )
         __snake_case				=							self.head
         if self.head == self.tail:  # just one node
              __snake_case				=							__snake_case				=							None
         elif index == 0:  # delete head node
              __snake_case				=							self.tail.next.next
              __snake_case				=							self.head.next
         else:
              __snake_case				=							self.head
              for _ in range(index - 1    ):
                   __snake_case				=							temp.next
              __snake_case				=							temp.next
              __snake_case				=							temp.next.next
              if index == len(self    ) - 1:  # delete at tail
                   __snake_case				=							temp
         return delete_node.data







    def  lowercase					(		self							:     Dict    )    ->       bool:
         return len(self    ) == 0






def    SCREAMING_SNAKE_CASE       (     ):
     __snake_case				=							CircularLinkedList()
     assert len(snake_case) == 0
     assert circular_linked_list.is_empty() is True
     assert str(snake_case) == ""

     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(snake_case) == i
          circular_linked_list.insert_nth(snake_case,      i + 1)
     assert str(snake_case) == "->".join(str(snake_case) for i in range(1,      6))

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

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

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

     assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
       import doctest

       doctest.testmod()