





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCAmelCase							:			Any        =							logging.get_logger(__name__)

_UpperCAmelCase							:			Dict        =							{
    """kssteven/ibert-roberta-base""": """https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json""",
    """kssteven/ibert-roberta-large""": """https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json""",
    """kssteven/ibert-roberta-large-mnli""": (
        """https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json"""
    ),
}

class   lowerCAmelCase				(   __UpperCamelCase     ):
 UpperCAmelCase__						=						"""ibert"""
 def __init__( self    : Optional[int]     ,	UpperCAmelCase    : Optional[Any]=30522     ,	UpperCAmelCase    : Any=768     ,	UpperCAmelCase    : Any=12     ,	UpperCAmelCase    : int=12     ,	UpperCAmelCase    : Tuple=3072     ,	UpperCAmelCase    : int="gelu"     ,	UpperCAmelCase    : Optional[Any]=0.1     ,	UpperCAmelCase    : Tuple=0.1     ,	UpperCAmelCase    : Union[str, Any]=512     ,	UpperCAmelCase    : Optional[Any]=2     ,	UpperCAmelCase    : Any=0.0_2     ,	UpperCAmelCase    : Dict=1e-12     ,	UpperCAmelCase    : List[Any]=1     ,	UpperCAmelCase    : Dict=0     ,	UpperCAmelCase    : Tuple=2     ,	UpperCAmelCase    : List[Any]="absolute"     ,	UpperCAmelCase    : Union[str, Any]=False     ,	UpperCAmelCase    : int="none"     ,	**UpperCAmelCase    : Union[str, Any]     ,	)     ->      List[str]:
     super().__init__(pad_token_id=UpperCAmelCase     ,	bos_token_id=UpperCAmelCase     ,	eos_token_id=UpperCAmelCase     ,	**UpperCAmelCase      )

     lowerCamelCase__       : Any   					=						vocab_size
     lowerCamelCase__       : Union[str, Any]   					=						hidden_size
     lowerCamelCase__       : List[Any]   					=						num_hidden_layers
     lowerCamelCase__       : int   					=						num_attention_heads
     lowerCamelCase__       : Union[str, Any]   					=						hidden_act
     lowerCamelCase__       : Dict   					=						intermediate_size
     lowerCamelCase__       : str   					=						hidden_dropout_prob
     lowerCamelCase__       : List[Any]   					=						attention_probs_dropout_prob
     lowerCamelCase__       : int   					=						max_position_embeddings
     lowerCamelCase__       : Optional[int]   					=						type_vocab_size
     lowerCamelCase__       : List[Any]   					=						initializer_range
     lowerCamelCase__       : Any   					=						layer_norm_eps
     lowerCamelCase__       : Optional[int]   					=						position_embedding_type
     lowerCamelCase__       : Any   					=						quant_mode
     lowerCamelCase__       : Union[str, Any]   					=						force_dequant


class   lowerCAmelCase				(   __UpperCamelCase     ):
 @property
 def 	A_      ( self    : str      )     ->      Mapping[str, Mapping[int, str]]:
     if self.task == "multiple-choice":
         lowerCamelCase__       : Dict   					=						{0: 'batch', 1: 'choice', 2: 'sequence'}
     else:
         lowerCamelCase__       : Any   					=						{0: 'batch', 1: 'sequence'}
     return OrderedDict(
         [
             ('input_ids', dynamic_axis),
             ('attention_mask', dynamic_axis),
         ]      )












from __future__ import annotations

_UpperCAmelCase							:			Tuple        =							"""#"""

class   lowerCAmelCase				:
 def __init__( self    : Optional[Any]      )     ->      None:
     lowerCamelCase__       : dict   					=						{}
 def 	A_      ( self    : Optional[int]     ,	UpperCAmelCase    : str      )     ->      None:
     lowerCamelCase__       : int   					=						self._trie
     for char in text:
         if char not in trie:
             lowerCamelCase__       : Tuple   					=						{}
         lowerCamelCase__       : Dict   					=						trie[char]
     lowerCamelCase__       : Optional[int]   					=						True
 def 	A_      ( self    : Optional[int]     ,	UpperCAmelCase    : str      )     ->      tuple | list:
     lowerCamelCase__       : Tuple   					=						self._trie
     for char in prefix:
         if char in trie:
             lowerCamelCase__       : List[Any]   					=						trie[char]
         else:
             return []
     return self._elements(UpperCAmelCase      )







 def 	A_      ( self    : List[str]     ,	UpperCAmelCase    : dict      )     ->      tuple:
     lowerCamelCase__       : Optional[Any]   					=						[]
     for c, v in d.items():
         lowerCamelCase__       : Optional[Any]   					=						[' '] if c == END else [(c + s) for s in self._elements(UpperCAmelCase      )]
         result.extend(UpperCAmelCase      )
     return tuple(UpperCAmelCase      )


_UpperCAmelCase							:			str        =							Trie()
_UpperCAmelCase							:			Tuple        =							("""depart""", """detergent""", """daring""", """dog""", """deer""", """deal""")
for word in words:
    trie.insert_word(word)


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase					)     ->	tuple:
    lowerCamelCase__       : str   					=						trie.find_word(_UpperCAmelCase					)
    return tuple(string + word for word in suffixes					)


def 			SCREAMING_SNAKE_CASE (			)     ->	None:
    print(autocomplete_using_trie('de'					)					)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()





