
'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

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


A			      =      logging.get_logger(__name__)

A			      =      {
    'facebook/xmod-base': 'https://huggingface.co/facebook/xmod-base/resolve/main/config.json',
    'facebook/xmod-large-prenorm': 'https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json',
    'facebook/xmod-base-13-125k': 'https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json',
    'facebook/xmod-base-30-125k': 'https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json',
    'facebook/xmod-base-30-195k': 'https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json',
    'facebook/xmod-base-60-125k': 'https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json',
    'facebook/xmod-base-60-265k': 'https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json',
    'facebook/xmod-base-75-125k': 'https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json',
    'facebook/xmod-base-75-269k': 'https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json',
}




class     __snake_case		(   a__):
					_lowerCAmelCase			     =	'''xmod'''
					def __init__(     self,    A=3_0522,    A=768,    A=12,    A=12,    A=3072,    A="gelu",    A=0.1,    A=0.1,    A=512,    A=2,    A=0.02,    A=1e-12,    A=1,    A=0,    A=2,    A="absolute",    A=True,    A=None,    A=False,    A=2,    A=False,    A=True,    A=True,    A=("en_XX",),    A=None,    **A,    ):

									"""simple docstring"""


									super().__init__(pad_token_id=A,    bos_token_id=A,    eos_token_id=A,    **A      )

									lowerCamelCase					:			Optional[int]									= vocab_size
									lowerCamelCase					:			str									= hidden_size
									lowerCamelCase					:			Union[str, Any]									= num_hidden_layers
									lowerCamelCase					:			List[str]									= num_attention_heads
									lowerCamelCase					:			Dict									= hidden_act
									lowerCamelCase					:			List[Any]									= intermediate_size
									lowerCamelCase					:			int									= hidden_dropout_prob
									lowerCamelCase					:			List[str]									= attention_probs_dropout_prob
									lowerCamelCase					:			Tuple									= max_position_embeddings
									lowerCamelCase					:			Optional[int]									= type_vocab_size
									lowerCamelCase					:			Dict									= initializer_range
									lowerCamelCase					:			Dict									= layer_norm_eps
									lowerCamelCase					:			Optional[Any]									= position_embedding_type
									lowerCamelCase					:			Any									= use_cache
									lowerCamelCase					:			Union[str, Any]									= classifier_dropout
									lowerCamelCase					:			List[Any]									= pre_norm
									lowerCamelCase					:			Dict									= adapter_reduction_factor
									lowerCamelCase					:			Dict									= adapter_layer_norm
									lowerCamelCase					:			List[Any]									= adapter_reuse_layer_norm
									lowerCamelCase					:			Dict									= ln_before_adapter
									lowerCamelCase					:			str									= list(A      )
									lowerCamelCase					:			Union[str, Any]									= default_language





class     __snake_case		(   a__):
					@property
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									if self.task == "multiple-choice":
													lowerCamelCase					:			str									= {0: 'batch', 1: 'choice', 2: 'sequence'}
									else:
													lowerCamelCase					:			Optional[int]									= {0: 'batch', 1: 'sequence'}
									return OrderedDict(
									    [
									        ('input_ids', dynamic_axis),
									        ('attention_mask', dynamic_axis),
									    ]      )


'''simple docstring'''






from __future__ import annotations

A			      =      '#'




class     __snake_case		:
					def __init__(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			dict									= {}
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= self._trie
									for char in text:
													if char not in trie:
																	lowerCamelCase					:			Dict									= {}
													lowerCamelCase					:			Optional[int]									= trie[char]
									lowerCamelCase					:			Optional[Any]									= True
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Dict									= self._trie
									for char in prefix:
													if char in trie:
																	lowerCamelCase					:			int									= trie[char]
													else:
																	return []
									return self._elements(A      )




					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= []
									for c, v in d.items():
													lowerCamelCase					:			Optional[Any]									= [' '] if c == END else [(c + s) for s in self._elements(A      )]
													result.extend(A      )
									return tuple(A      )





A			      =      Trie()
A			      =      ('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
					trie.insert_word(word)





def    UpperCAmelCase							(  UpperCAmelCase__							:							str):
				lowerCamelCase					:			Any									= trie.find_word(UpperCAmelCase__)
				return tuple(string + word for word in suffixes)





def    UpperCAmelCase							(  ):
				print(autocomplete_using_trie('de'))


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()
