



"""simple docstring"""
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


__a      =				logging.get_logger(__name__)

__a      =				{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

__a      =				{
    "vocab_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt",
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-german-cased": (
            "https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"
        ),
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"
        ),
    },
}

__a      =				{
    "distilbert-base-uncased": 5_12,
    "distilbert-base-uncased-distilled-squad": 5_12,
    "distilbert-base-cased": 5_12,
    "distilbert-base-cased-distilled-squad": 5_12,
    "distilbert-base-german-cased": 5_12,
    "distilbert-base-multilingual-cased": 5_12,
}


__a      =				{
    "distilbert-base-uncased": {"do_lower_case": True},
    "distilbert-base-uncased-distilled-squad": {"do_lower_case": True},
    "distilbert-base-cased": {"do_lower_case": False},
    "distilbert-base-cased-distilled-squad": {"do_lower_case": False},
    "distilbert-base-german-cased": {"do_lower_case": False},
    "distilbert-base-multilingual-cased": {"do_lower_case": False},
}
class 				lowerCamelCase  (			_lowerCAmelCase				):






					'''simple docstring'''





					_A		:			int						=     VOCAB_FILES_NAMES
					_A		:			List[Any]						=     PRETRAINED_VOCAB_FILES_MAP
					_A		:			Dict						=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_A		:			List[Any]						=     PRETRAINED_INIT_CONFIGURATION
					_A		:			int						=     ["""input_ids""", """attention_mask"""]
					_A		:			str						=     DistilBertTokenizer






					def __init__(       self:							List[Any]						,     snake_case:							Dict=None						,     snake_case:							Tuple=None						,     snake_case:							List[str]=True						,     snake_case:							int="[UNK]"						,     snake_case:							List[str]="[SEP]"						,     snake_case:							Any="[PAD]"						,     snake_case:							List[Any]="[CLS]"						,     snake_case:							int="[MASK]"						,     snake_case:							Optional[Any]=True						,     snake_case:							Dict=None						,     **snake_case:							List[str]						,     )   ->	Optional[int]:
											super().__init__(
											    snake_case						,     tokenizer_file=snake_case						,     do_lower_case=snake_case						,     unk_token=snake_case						,     sep_token=snake_case						,     pad_token=snake_case						,     cls_token=snake_case						,     mask_token=snake_case						,     tokenize_chinese_chars=snake_case						,     strip_accents=snake_case						,     **snake_case						,     )

											snake_case_ :str						=			json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
											if (
											    normalizer_state.get("""lowercase"""						,     snake_case						) != do_lower_case
											    or normalizer_state.get("""strip_accents"""						,     snake_case						) != strip_accents
											    or normalizer_state.get("""handle_chinese_chars"""						,     snake_case						) != tokenize_chinese_chars
											):
																	snake_case_ :Optional[Any]						=			getattr(snake_case						,     normalizer_state.pop("""type"""						)						)
																	snake_case_ :Any						=			do_lower_case
																	snake_case_ :Optional[int]						=			strip_accents
																	snake_case_ :Optional[Any]						=			tokenize_chinese_chars
																	snake_case_ :Dict						=			normalizer_class(**snake_case						)

											snake_case_ :Optional[Any]						=			do_lower_case






					def    lowerCAmelCase_				(       self:							Dict						,     snake_case:							Union[str, Any]						,     snake_case:							Union[str, Any]=None						)   ->	int:
											snake_case_ :Union[str, Any]						=			[self.cls_token_id] + token_ids_a + [self.sep_token_id]

											if token_ids_a:
																	output += token_ids_a + [self.sep_token_id]

											return output






					def    lowerCAmelCase_				(       self:							Any						,     snake_case:							List[int]						,     snake_case:							Optional[List[int]] = None						)   ->	List[int]:
											snake_case_ :List[Any]						=			[self.sep_token_id]
											snake_case_ :List[Any]						=			[self.cls_token_id]
											if token_ids_a is None:
																	return len(cls + token_ids_a + sep						) * [0]
											return len(cls + token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1]






					def    lowerCAmelCase_				(       self:							str						,     snake_case:							str						,     snake_case:							Optional[str] = None						)   ->	Tuple[str]:
											snake_case_ :Any						=			self._tokenizer.model.save(snake_case						,     name=snake_case						)
											return tuple(snake_case						)





"""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()
