

'''simple docstring'''


import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase__										= logging.get_logger(__name__)


lowerCAmelCase__										= {
    "vocab_file": "vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
    "merges_file": "merges.txt",
}

lowerCAmelCase__										= {
    "vocab_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json"
        ),
    },
    "tokenizer_config_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json"
        ),
    },
    "merges_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt"
        ),
    },
}

lowerCAmelCase__										= "</w>"
lowerCAmelCase__										= "@@ "







def 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    List[Any]:
	UpperCAmelCase_		:      str       	=					set()
	UpperCAmelCase_		:      List[str]       	=					word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)  )
		UpperCAmelCase_		:      Any       	=					char
	return pairs


# Speech2Text2 has no max input length
lowerCAmelCase__										= {"facebook/s2t-wav2vec2-large-en-de": 1024}







class 					lowercase						(  a_ ):
							_lowerCamelCase		:      Optional[int]=   VOCAB_FILES_NAMES
							_lowerCamelCase		:      List[Any]=   PRETRAINED_VOCAB_FILES_MAP
							_lowerCamelCase		:      Any=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_lowerCamelCase		:      Dict=   ["input_ids", "attention_mask"]


							def __init__(			self    ,			_snake_case    ,			_snake_case="<s>"    ,			_snake_case="<pad>"    ,			_snake_case="</s>"    ,			_snake_case="<unk>"    ,			_snake_case=False    ,			_snake_case=None    ,			**_snake_case    ,			)							->				Optional[int]:
								super().__init__(
								    unk_token=_snake_case    ,			bos_token=_snake_case    ,			eos_token=_snake_case    ,			pad_token=_snake_case    ,			do_lower_case=_snake_case    ,			**_snake_case    ,			)

								UpperCAmelCase_		:      Optional[Any]       	=					do_lower_case

								with open(_snake_case    ,			encoding='utf-8') as vocab_handle:
									UpperCAmelCase_		:      Dict       	=					json.load(_snake_case)
								UpperCAmelCase_		:      Any       	=					{v: k for k, v in self.encoder.items()}

								if merges_file is None:
									logger.info(F"""No merges files provided. {self.__class__.__name__} can only be used for decoding.""")

									UpperCAmelCase_		:      str       	=					None
									UpperCAmelCase_		:      Dict       	=					None
								else:
									with open(_snake_case    ,			encoding='utf-8') as merges_handle:
										UpperCAmelCase_		:      Dict       	=					merges_handle.read().split('\n')[:-1]

									UpperCAmelCase_		:      List[str]       	=					[tuple(merge.split()[:2]) for merge in merges]
									UpperCAmelCase_		:      Union[str, Any]       	=					dict(zip(_snake_case    ,			range(len(_snake_case))))
									UpperCAmelCase_		:      Any       	=					{}


							@property
							def 						_snake_case							(			self)							->				int:
								return len(self.decoder)


							def 						_snake_case							(			self)							->				Dict:
								return dict(self.encoder    ,			**self.added_tokens_encoder)


							def 						_snake_case							(			self    ,			_snake_case)							->				Dict:
								UpperCAmelCase_		:      str       	=					tuple(token[:-1]) + (token[-1] + BPE_TOKEN_MERGES,)
								if token in self.cache:
									return self.cache[token]
								UpperCAmelCase_		:      List[str]       	=					get_pairs(_snake_case)

								if not pairs:
									return token

								while True:
									UpperCAmelCase_		:      Union[str, Any]       	=					min(_snake_case    ,			key=lambda _snake_case: self.bpe_ranks.get(_snake_case    ,			float('inf')))
									if bigram not in self.bpe_ranks:
										break
									UpperCAmelCase_		:      Dict       	=					bigram
									UpperCAmelCase_		:      int       	=					[]
									UpperCAmelCase_		:      Tuple       	=					0
									while i < len(_snake_case):
										try:
											UpperCAmelCase_		:      List[Any]       	=					word.index(_snake_case    ,			_snake_case)
										except ValueError:
											new_word.extend(word[i:])
											break
										else:
											new_word.extend(word[i:j])
											UpperCAmelCase_		:      Any       	=					j

										if word[i] == first and i < len(_snake_case) - 1 and word[i + 1] == second:
											new_word.append(first + second)
											i += 2
										else:
											new_word.append(word[i])
											i += 1
									UpperCAmelCase_		:      List[Any]       	=					tuple(_snake_case)
									UpperCAmelCase_		:      Optional[int]       	=					new_word
									if len(_snake_case) == 1:
										break
									else:
										UpperCAmelCase_		:      Dict       	=					get_pairs(_snake_case)
								UpperCAmelCase_		:      str       	=					' '.join(_snake_case)
								if word == "\n  " + BPE_TOKEN_MERGES:
									UpperCAmelCase_		:      List[Any]       	=					'\n' + BPE_TOKEN_MERGES

								if word.endswith(_snake_case):
									UpperCAmelCase_		:      Union[str, Any]       	=					word.replace(_snake_case    ,			'')

								UpperCAmelCase_		:      List[Any]       	=					word.replace(' '    ,			_snake_case)
								UpperCAmelCase_		:      Union[str, Any]       	=					word
								return word


							def 						_snake_case							(			self    ,			_snake_case)							->				Optional[int]:

								if self.bpe_ranks is None:
									raise ValueError(
									    'This tokenizer was instantiated without a `merges.txt` file, so'
									    ' that it can only be used for decoding, not for encoding.'
									    'Make sure to provide `merges.txt` file at instantiation to enable '
									    'encoding.')

								if self.do_lower_case:
									UpperCAmelCase_		:      str       	=					text.lower()

								UpperCAmelCase_		:      List[str]       	=					text.split()

								UpperCAmelCase_		:      str       	=					[]
								for token in text:
									if token:
										split_tokens.extend(list(self.bpe(_snake_case).split(' ')))

								return split_tokens


							def 						_snake_case							(			self    ,			_snake_case)							->				int:
								return self.encoder.get(_snake_case    ,			self.encoder.get(self.unk_token))


							def 						_snake_case							(			self    ,			_snake_case)							->				str:
								UpperCAmelCase_		:      Optional[int]       	=					self.decoder.get(_snake_case    ,			self.unk_token)
								return result


							def 						_snake_case							(			self    ,			_snake_case)							->				str:
								UpperCAmelCase_		:      Optional[Any]       	=					' '.join(_snake_case)

								# make sure @@ tokens are concatenated
								UpperCAmelCase_		:      str       	=					''.join(string.split(_snake_case))

								return string





							def 						_snake_case							(			self    ,			_snake_case    ,			_snake_case = None)							->				Tuple[str]:
								if not os.path.isdir(_snake_case):
									logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
									return
								UpperCAmelCase_		:      Any       	=					os.path.join(
								    _snake_case    ,			(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
								UpperCAmelCase_		:      List[Any]       	=					os.path.join(
								    _snake_case    ,			(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'])

								with open(_snake_case    ,			'w'    ,			encoding='utf-8') as f:
									f.write(json.dumps(self.encoder    ,			indent=2    ,			sort_keys=_snake_case    ,			ensure_ascii=_snake_case) + '\n')

								UpperCAmelCase_		:      Optional[int]       	=					0
								if self.bpe_ranks is None:
									return (vocab_file,)

								with open(_snake_case    ,			'w'    ,			encoding='utf-8') as writer:
									for bpe_tokens, token_index in sorted(self.bpe_ranks.items()    ,			key=lambda _snake_case: kv[1]):
										if index != token_index:
											logger.warning(
											    F"""Saving vocabulary to {merges_file}: BPE merge indices are not consecutive."""
											    ' Please check that the tokenizer is not corrupted!')
											UpperCAmelCase_		:      List[str]       	=					token_index
										writer.write(' '.join(_snake_case) + '\n')
										index += 1

								return (vocab_file, merges_file)









'''simple docstring'''


import math



class 					lowercase						:


							def __init__(			self    ,			_snake_case=0)							->				Union[str, Any]:  # a graph with Node 0,1,...,N-1
								UpperCAmelCase_		:      Tuple       	=					n
								UpperCAmelCase_		:      Optional[Any]       	=					[
								    [math.inf for j in range(0    ,			_snake_case)] for i in range(0    ,			_snake_case)
								]  # adjacency matrix for weight
								UpperCAmelCase_		:      Tuple       	=					[
								    [math.inf for j in range(0    ,			_snake_case)] for i in range(0    ,			_snake_case)
								]  # dp[i][j] stores minimum distance from i to j


							def 						_snake_case							(			self    ,			_snake_case    ,			_snake_case    ,			_snake_case)							->				List[Any]:
								UpperCAmelCase_		:      Union[str, Any]       	=					w


							def 						_snake_case							(			self)							->				str:
								for k in range(0    ,			self.n):
									for i in range(0    ,			self.n):
										for j in range(0    ,			self.n):
											UpperCAmelCase_		:      Optional[int]       	=					min(self.dp[i][j]    ,			self.dp[i][k] + self.dp[k][j])





							def 						_snake_case							(			self    ,			_snake_case    ,			_snake_case)							->				str:
								return self.dp[u][v]


if __name__ == "__main__":
						lowerCAmelCase__										= Graph(5)
						graph.add_edge(0, 2, 9)
						graph.add_edge(0, 4, 10)
						graph.add_edge(1, 3, 5)
						graph.add_edge(2, 3, 7)
						graph.add_edge(3, 0, 10)
						graph.add_edge(3, 1, 2)
						graph.add_edge(3, 2, 1)
						graph.add_edge(3, 4, 6)
						graph.add_edge(4, 1, 3)
						graph.add_edge(4, 2, 4)
						graph.add_edge(4, 3, 9)
						graph.floyd_warshall()
						graph.show_min(1, 4)
						graph.show_min(0, 3)






