






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


lowerCamelCase__       		=  logging.get_logger(__name__)

lowerCamelCase__       		=  {
    """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       snake_case__ (				lowercase_):

       '''simple docstring'''
       lowerCamelCase				:					Optional[Any]								=			"gptj"
       lowerCamelCase				:					Dict								=			{
           "max_position_embeddings": "n_positions",
           "hidden_size": "n_embd",
           "num_attention_heads": "n_head",
           "num_hidden_layers": "n_layer",
       }



       def __init__(				self      ,    a__=5_04_00      ,    a__=20_48      ,    a__=40_96      ,    a__=28      ,    a__=16      ,    a__=64      ,    a__=None      ,    a__="gelu_new"      ,    a__=0.0      ,    a__=0.0      ,    a__=0.0      ,    a__=1e-5      ,    a__=0.02      ,    a__=True      ,    a__=5_02_56      ,    a__=5_02_56      ,    a__=False      ,    **a__      ,    )			->   List[str]:






            '''simple docstring'''





            __snake_case      :Optional[int] 							=    vocab_size
            __snake_case      :int 							=    n_positions
            __snake_case      :Optional[int] 							=    n_embd
            __snake_case      :Dict 							=    n_layer
            __snake_case      :Any 							=    n_head
            __snake_case      :Optional[int] 							=    n_inner
            __snake_case      :Optional[int] 							=    rotary_dim
            __snake_case      :Any 							=    activation_function
            __snake_case      :int 							=    resid_pdrop
            __snake_case      :str 							=    embd_pdrop
            __snake_case      :int 							=    attn_pdrop
            __snake_case      :List[str] 							=    layer_norm_epsilon
            __snake_case      :Any 							=    initializer_range
            __snake_case      :List[str] 							=    use_cache

            __snake_case      :str 							=    bos_token_id
            __snake_case      :str 							=    eos_token_id

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




class       snake_case__ (				lowercase_):

       '''simple docstring'''



       def __init__(				self      ,    a__      ,    a__ = "default"      ,    a__ = None      ,    a__ = False      ,    )			->   Dict:






            '''simple docstring'''





            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      :int 							=    0



       @property
       def        __lowercase    (				self     )			->   Mapping[str, Mapping[int, str]]:






            '''simple docstring'''





            __snake_case      :int 							=    OrderedDict({"""input_ids""": {0: """batch""", 1: """sequence"""}}     )
            if self.use_past:
                 self.fill_with_past_key_values_(a__      ,    direction="""inputs"""     )
                 __snake_case      :Any 							=    {0: """batch""", 1: """past_sequence + sequence"""}
            else:
                 __snake_case      :Dict 							=    {0: """batch""", 1: """sequence"""}

            return common_inputs



       @property
       def        __lowercase    (				self     )			->   int:






            '''simple docstring'''





            return self._config.n_layer



       @property
       def        __lowercase    (				self     )			->   int:






            '''simple docstring'''





            return self._config.n_head



       def        __lowercase    (				self      ,    a__      ,    a__ = -1      ,    a__ = -1      ,    a__ = False      ,    a__ = None      ,    )			->   Mapping[str, Any]:






            '''simple docstring'''





            __snake_case      :Optional[Any] 							=    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      :List[Any] 							=    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      :Any 							=    common_inputs["""input_ids"""].shape
                      # Not using the same length for past_key_values
                      __snake_case      :Any 							=    seqlen + 2
                      __snake_case      :Dict 							=    (
                          batch,
                          self.num_attention_heads,
                          past_key_values_length,
                          self._config.hidden_size // self.num_attention_heads,
                      )
                      __snake_case      :str 							=    [
                          (torch.zeros(a__     ), torch.zeros(a__     )) for _ in range(self.num_layers     )
                      ]

            __snake_case      :List[Any] 							=    common_inputs["""attention_mask"""]
            if self.use_past:
                 __snake_case      :Tuple 							=    ordered_inputs["""attention_mask"""].dtype
                 __snake_case      :Tuple 							=    torch.cat(
                     [ordered_inputs["""attention_mask"""], torch.ones(a__      ,    a__      ,    dtype=a__     )]      ,    dim=1     )

            return ordered_inputs



       @property
       def        __lowercase    (				self     )			->   int:






            '''simple docstring'''





            return 13










from collections.abc import Callable




class       snake_case__ :

       '''simple docstring'''



       def __init__(				self      ,    a__ = None     )			->   None:






            '''simple docstring'''





            __snake_case      :list 							=    []
            # Stores indexes of each item for supporting updates and deletion.
            __snake_case      :dict 							=    {}
            # Stores current size of heap.
            __snake_case      :List[Any] 							=    0
            # Stores function used to evaluate the score of an item on which basis ordering
            # will be done.
            __snake_case      :Optional[Any] 							=    key or (lambda a__     : x)



       def        __lowercase    (				self      ,    a__     )			->   int | None:






            '''simple docstring'''





            return int((i - 1) / 2     ) if i > 0 else None



       def        __lowercase    (				self      ,    a__     )			->   int | None:






            '''simple docstring'''





            __snake_case      :int 							=    int(2 * i + 1     )
            return left if 0 < left < self.size else None



       def        __lowercase    (				self      ,    a__     )			->   int | None:






            '''simple docstring'''





            __snake_case      :Optional[int] 							=    int(2 * i + 2     )
            return right if 0 < right < self.size else None



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   None:






            '''simple docstring'''





            __snake_case							,			__snake_case      :Dict 							=    (
                self.pos_map[self.arr[j][0]],
                self.pos_map[self.arr[i][0]],
            )
            # Then swap the items in the list.
            __snake_case							,			__snake_case      :Tuple 							=    self.arr[j], self.arr[i]



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   bool:






            '''simple docstring'''





            return self.arr[i][1] < self.arr[j][1]



       def        __lowercase    (				self      ,    a__     )			->   int:






            '''simple docstring'''





            __snake_case      :int 							=    self._left(a__     )
            __snake_case      :Optional[int] 							=    self._right(a__     )
            __snake_case      :List[Any] 							=    i

            if left is not None and not self._cmp(a__      ,    a__     ):
                 __snake_case      :int 							=    left
            if right is not None and not self._cmp(a__      ,    a__     ):
                 __snake_case      :Tuple 							=    right

            return valid_parent



       def        __lowercase    (				self      ,    a__     )			->   None:






            '''simple docstring'''





            __snake_case      :int 							=    self._parent(a__     )
            while parent is not None and not self._cmp(a__      ,    a__     ):
                 self._swap(a__      ,    a__     )
                 __snake_case							,			__snake_case      :str 							=    parent, self._parent(a__     )



       def        __lowercase    (				self      ,    a__     )			->   None:






            '''simple docstring'''





            __snake_case      :List[Any] 							=    self._get_valid_parent(a__     )
            while valid_parent != index:
                 self._swap(a__      ,    a__     )
                 __snake_case							,			__snake_case      :Optional[int] 							=    valid_parent, self._get_valid_parent(a__     )



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   None:






            '''simple docstring'''





            if item not in self.pos_map:
                 return
            __snake_case      :List[Any] 							=    self.pos_map[item]
            __snake_case      :Optional[Any] 							=    [item, self.key(a__     )]
            # Make sure heap is right in both up and down direction.
            # Ideally only one of them will make any change.
            self._heapify_up(a__     )
            self._heapify_down(a__     )



       def        __lowercase    (				self      ,    a__     )			->   None:






            '''simple docstring'''





            if item not in self.pos_map:
                 return
            __snake_case      :Dict 							=    self.pos_map[item]
            del self.pos_map[item]
            __snake_case      :Dict 							=    self.arr[self.size - 1]
            __snake_case      :List[str] 							=    index
            self.size -= 1
            # Make sure heap is right in both up and down direction. Ideally only one
            # of them will make any change- so no performance loss in calling both.
            if self.size > index:
                 self._heapify_up(a__     )
                 self._heapify_down(a__     )



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   None:






            '''simple docstring'''





            __snake_case      :Optional[int] 							=    len(self.arr     )
            if arr_len == self.size:
                 self.arr.append([item, self.key(a__     )]     )
            else:
                 __snake_case      :Optional[Any] 							=    [item, self.key(a__     )]
            __snake_case      :str 							=    self.size
            self.size += 1
            self._heapify_up(self.size - 1     )



       def        __lowercase    (				self     )			->   tuple | None:






            '''simple docstring'''





            return self.arr[0] if self.size else None



       def        __lowercase    (				self     )			->   tuple | None:






            '''simple docstring'''





            __snake_case      :Optional[Any] 							=    self.get_top()
            if top_item_tuple:
                 self.delete_item(top_item_tuple[0]     )
            return top_item_tuple






def 	UpperCamelCase	(							):




     '''simple docstring'''








if __name__ == "__main__":
     import doctest

     doctest.testmod()


