



"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__a      =				logging.get_logger(__name__)

__a      =				{
    "google/realm-cc-news-pretrained-embedder": (
        "https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json"
    ),
    "google/realm-cc-news-pretrained-encoder": (
        "https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json"
    ),
    "google/realm-cc-news-pretrained-scorer": (
        "https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json"
    ),
    "google/realm-cc-news-pretrained-openqa": (
        "https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json"
    ),
    "google/realm-orqa-nq-openqa": "https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json",
    "google/realm-orqa-nq-reader": "https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json",
    "google/realm-orqa-wq-openqa": "https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json",
    "google/realm-orqa-wq-reader": "https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json",
    # See all REALM models at https://huggingface.co/models?filter=realm
}
class 				lowerCamelCase  (			_lowerCAmelCase				):






					'''simple docstring'''





					_A		:			str						=     """realm"""






					def __init__(       self:							List[Any]						,     snake_case:							Dict=30_522						,     snake_case:							Dict=768						,     snake_case:							Dict=128						,     snake_case:							int=12						,     snake_case:							Dict=12						,     snake_case:							int=8						,     snake_case:							Union[str, Any]=3_072						,     snake_case:							List[str]="gelu_new"						,     snake_case:							Optional[int]=0.1						,     snake_case:							List[str]=0.1						,     snake_case:							List[str]=512						,     snake_case:							Optional[Any]=2						,     snake_case:							Dict=0.0_2						,     snake_case:							Optional[Any]=1E-12						,     snake_case:							List[str]=256						,     snake_case:							int=10						,     snake_case:							List[Any]=1E-3						,     snake_case:							Union[str, Any]=5						,     snake_case:							Tuple=320						,     snake_case:							int=13_353_718						,     snake_case:							Tuple=5_000						,     snake_case:							Optional[int]=1						,     snake_case:							List[str]=0						,     snake_case:							Optional[int]=2						,     **snake_case:							List[Any]						,     )   ->	Any:
											super().__init__(pad_token_id=snake_case						,     bos_token_id=snake_case						,     eos_token_id=snake_case						,     **snake_case						)

											# Common config
											snake_case_ :List[Any]						=			vocab_size
											snake_case_ :Tuple						=			max_position_embeddings
											snake_case_ :List[str]						=			hidden_size
											snake_case_ :Union[str, Any]						=			retriever_proj_size
											snake_case_ :Union[str, Any]						=			num_hidden_layers
											snake_case_ :Union[str, Any]						=			num_attention_heads
											snake_case_ :Optional[Any]						=			num_candidates
											snake_case_ :Any						=			intermediate_size
											snake_case_ :Union[str, Any]						=			hidden_act
											snake_case_ :Optional[int]						=			hidden_dropout_prob
											snake_case_ :Dict						=			attention_probs_dropout_prob
											snake_case_ :Optional[Any]						=			initializer_range
											snake_case_ :Any						=			type_vocab_size
											snake_case_ :Dict						=			layer_norm_eps

											# Reader config
											snake_case_ :Optional[Any]						=			span_hidden_size
											snake_case_ :Optional[int]						=			max_span_width
											snake_case_ :List[str]						=			reader_layer_norm_eps
											snake_case_ :List[Any]						=			reader_beam_size
											snake_case_ :Union[str, Any]						=			reader_seq_len

											# Retrieval config
											snake_case_ :List[str]						=			num_block_records
											snake_case_ :List[Any]						=			searcher_beam_size





"""simple docstring"""
from __future__ import annotations

from collections import Counter
from random import random
class 				lowerCamelCase  :






					'''simple docstring'''





					def __init__(       self:							Tuple						)   ->	Optional[Any]:
											snake_case_ :Optional[int]						=			{}






					def    lowerCAmelCase_				(       self:							Dict						,     snake_case:							str						)   ->	None:
											snake_case_ :str						=			{}






					def    lowerCAmelCase_				(       self:							Optional[int]						,     snake_case:							str						,     snake_case:							str						,     snake_case:							float						)   ->	None:
											if nodea not in self.connections:
																	self.add_node(snake_case						)
											if nodea not in self.connections:
																	self.add_node(snake_case						)
											snake_case_ :Dict						=			probability






					def    lowerCAmelCase_				(       self:							List[Any]						)   ->	list[str]:
											return list(self.connections						)






					def    lowerCAmelCase_				(       self:							Any						,     snake_case:							str						)   ->	str:
											snake_case_ :Optional[Any]						=			0
											snake_case_ :List[str]						=			random()

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

def    A_  (			_lowercase,					_lowercase,					_lowercase	):







						'''simple docstring'''


						snake_case_ :List[str]						=			MarkovChainGraphUndirectedUnweighted()

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

						snake_case_ :int						=			Counter(graph.get_nodes()	)
						snake_case_ :Optional[Any]						=			start

						for _ in range(_lowercase	):
												snake_case_ :Tuple						=			graph.transition(_lowercase	)
												visited[node] += 1

						return visited


if __name__ == "__main__":
						import doctest

						doctest.testmod()
