
'''simple docstring'''







from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowercase :  List[Any]    							=       logging.get_logger(__name__)

_lowercase :  str    							=       {
    "SCUT-DLVCLab/lilt-roberta-en-base": (
        "https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json"
    ),
}






class  lowerCAmelCase__   (  lowerCamelCase_     ):
					lowerCAmelCase_        =     '''lilt'''






					def __init__(   self				,							__SCREAMING_SNAKE_CASE=3_05_22				,							__SCREAMING_SNAKE_CASE=7_68				,							__SCREAMING_SNAKE_CASE=12				,							__SCREAMING_SNAKE_CASE=12				,							__SCREAMING_SNAKE_CASE=30_72				,							__SCREAMING_SNAKE_CASE="gelu"				,							__SCREAMING_SNAKE_CASE=0.1				,							__SCREAMING_SNAKE_CASE=0.1				,							__SCREAMING_SNAKE_CASE=5_12				,							__SCREAMING_SNAKE_CASE=2				,							__SCREAMING_SNAKE_CASE=0.02				,							__SCREAMING_SNAKE_CASE=1E-1_2				,							__SCREAMING_SNAKE_CASE=0				,							__SCREAMING_SNAKE_CASE="absolute"				,							__SCREAMING_SNAKE_CASE=None				,							__SCREAMING_SNAKE_CASE=4				,							__SCREAMING_SNAKE_CASE=10_24				,							**__SCREAMING_SNAKE_CASE				,							):


											"""simple docstring"""





											super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		)

											lowercase_	:     Tuple													=       vocab_size
											lowercase_	:     Dict													=       hidden_size
											lowercase_	:     int													=       num_hidden_layers
											lowercase_	:     Union[str, Any]													=       num_attention_heads
											lowercase_	:     Tuple													=       hidden_act
											lowercase_	:     List[str]													=       intermediate_size
											lowercase_	:     int													=       hidden_dropout_prob
											lowercase_	:     Dict													=       attention_probs_dropout_prob
											lowercase_	:     Optional[int]													=       max_position_embeddings
											lowercase_	:     int													=       type_vocab_size
											lowercase_	:     List[str]													=       initializer_range
											lowercase_	:     Tuple													=       layer_norm_eps
											lowercase_	:     Tuple													=       position_embedding_type
											lowercase_	:     Tuple													=       classifier_dropout
											lowercase_	:     Any													=       channel_shrink_ratio
											lowercase_	:     List[Any]													=       max_ad_position_embeddings





'''simple docstring'''







from __future__ import annotations

from collections import Counter
from random import random






class  lowerCAmelCase__   :






					def __init__(   self		):


											"""simple docstring"""





											lowercase_	:     int													=       {}






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     Dict													=       {}






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if nodea not in self.connections:
																	self.add_node(__SCREAMING_SNAKE_CASE		)
											if nodea not in self.connections:
																	self.add_node(__SCREAMING_SNAKE_CASE		)
											lowercase_	:     Optional[Any]													=       probability






					def 	_snake_case    (   self		):


											"""simple docstring"""





											return list(self.connections		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     Any													=       0
											lowercase_	:     Tuple													=       random()

											for dest in self.connections[node]:
																	current_probability += self.connections[node][dest]
																	if current_probability > random_value:
																							return dest
											return ""







def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: str      ,      __SCREAMING_SNAKE_CASE					: list[tuple[str, str, float]]      ,      __SCREAMING_SNAKE_CASE					: int							):



						"""simple docstring"""





						lowercase_	:     List[Any]													=       MarkovChainGraphUndirectedUnweighted()

						for nodea, nodea, probability in transitions:
												graph.add_transition_probability(__SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE							)

						lowercase_	:     str													=       Counter(graph.get_nodes()							)
						lowercase_	:     Any													=       start

						for _ in range(__SCREAMING_SNAKE_CASE							):
												lowercase_	:     int													=       graph.transition(__SCREAMING_SNAKE_CASE							)
												visited[node] += 1

						return visited


if __name__ == "__main__":
							import doctest

							doctest.testmod()



