






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

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


UpperCamelCase__					    =    logging.get_logger(__name__)


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

UpperCamelCase__					    =    {
    """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"""
        ),
    },
}

UpperCamelCase__					    =    """</w>"""
UpperCamelCase__					    =    """@@ """







def 			_a   (		SCREAMING_SNAKE_CASE_							:       Dict  ):
					__lowerCAmelCase            = set()
					__lowerCAmelCase            = word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)  )
										__lowerCAmelCase            = char
					return pairs


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


class     a__					(      snake_case__   ):
						_a							:					int      =					VOCAB_FILES_NAMES
						_a							:					List[str]      =					PRETRAINED_VOCAB_FILES_MAP
						_a							:					List[Any]      =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_a							:					Optional[int]      =					["""input_ids""", """attention_mask"""]






						def __init__(     self	,    _A	,    _A="<s>"	,    _A="<pad>"	,    _A="</s>"	,    _A="<unk>"	,    _A=False	,    _A=None	,    **_A	,    ):




											"""simple docstring"""



											super().__init__(
											    unk_token=_A	,    bos_token=_A	,    eos_token=_A	,    pad_token=_A	,    do_lower_case=_A	,    **_A	,    )

											__lowerCAmelCase            = do_lower_case

											with open(_A	,    encoding="utf-8"    ) as vocab_handle:
																__lowerCAmelCase            = json.load(_A    )
											__lowerCAmelCase            = {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."""    )

																__lowerCAmelCase            = None
																__lowerCAmelCase            = None
											else:
																with open(_A	,    encoding="utf-8"    ) as merges_handle:
																					__lowerCAmelCase            = merges_handle.read().split("\n"    )[:-1]

																__lowerCAmelCase            = [tuple(merge.split()[:2]    ) for merge in merges]
																__lowerCAmelCase            = dict(zip(_A	,    range(len(_A    )    )    )    )
																__lowerCAmelCase            = {}






						@property
						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return len(self.decoder    )






						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return dict(self.encoder	,    **self.added_tokens_encoder    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = tuple(token[:-1]    ) + (token[-1] + BPE_TOKEN_MERGES,)
											if token in self.cache:
																return self.cache[token]
											__lowerCAmelCase            = get_pairs(_A    )

											if not pairs:
																return token

											while True:
																__lowerCAmelCase            = min(_A	,    key=lambda _A    : self.bpe_ranks.get(_A	,    float("inf"    )    )    )
																if bigram not in self.bpe_ranks:
																					break
																__lowerCAmelCase     ,							__lowerCAmelCase            = bigram
																__lowerCAmelCase            = []
																__lowerCAmelCase            = 0
																while i < len(_A    ):
																					try:
																										__lowerCAmelCase            = word.index(_A	,    _A    )
																					except ValueError:
																										new_word.extend(word[i:]    )
																										break
																					else:
																										new_word.extend(word[i:j]    )
																										__lowerCAmelCase            = j

																					if word[i] == first and i < len(_A    ) - 1 and word[i + 1] == second:
																										new_word.append(first + second    )
																										i += 2
																					else:
																										new_word.append(word[i]    )
																										i += 1
																__lowerCAmelCase            = tuple(_A    )
																__lowerCAmelCase            = new_word
																if len(_A    ) == 1:
																					break
																else:
																					__lowerCAmelCase            = get_pairs(_A    )
											__lowerCAmelCase            = " ".join(_A    )
											if word == "\n  " + BPE_TOKEN_MERGES:
																__lowerCAmelCase            = "\n" + BPE_TOKEN_MERGES

											if word.endswith(_A    ):
																__lowerCAmelCase            = word.replace(_A	,    ""    )

											__lowerCAmelCase            = word.replace(" "	,    _A    )
											__lowerCAmelCase            = word
											return word






						def        __SCREAMING_SNAKE_CASE(     self	,    _A    ):




											"""simple docstring"""



											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:
																__lowerCAmelCase            = text.lower()

											__lowerCAmelCase            = text.split()

											__lowerCAmelCase            = []
											for token in text:
																if token:
																					split_tokens.extend(list(self.bpe(_A    ).split(" "    )    )    )

											return split_tokens






						def        __SCREAMING_SNAKE_CASE(     self	,    _A    ):




											"""simple docstring"""



											return self.encoder.get(_A	,    self.encoder.get(self.unk_token    )    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = self.decoder.get(_A	,    self.unk_token    )
											return result






						def        __SCREAMING_SNAKE_CASE(     self	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = " ".join(_A    )

											# make sure @@ tokens are concatenated
											__lowerCAmelCase            = "".join(string.split(_A    )    )

											return string






						def        __SCREAMING_SNAKE_CASE(     self	,    _A	,    _A = None    ):




											"""simple docstring"""



											if not os.path.isdir(_A    ):
																logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""    )
																return
											__lowerCAmelCase            = os.path.join(
											    _A	,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]    )
											__lowerCAmelCase            = os.path.join(
											    _A	,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]    )

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

											__lowerCAmelCase            = 0
											if self.bpe_ranks is None:
																return (vocab_file,)

											with open(_A	,    "w"	,    encoding="utf-8"    ) as writer:
																for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,    key=lambda _A    : 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!"    )
																										__lowerCAmelCase            = token_index
																					writer.write(" ".join(_A    ) + "\n"    )
																					index += 1

											return (vocab_file, merges_file)










def 			_a   (		SCREAMING_SNAKE_CASE_							:       list[int]  ):
					__lowerCAmelCase            = len(SCREAMING_SNAKE_CASE_  )
					for i in range(SCREAMING_SNAKE_CASE_  ):
										for j in range(i + 1   ,   SCREAMING_SNAKE_CASE_  ):
															if numbers[j] < numbers[i]:
																				__lowerCAmelCase     ,							__lowerCAmelCase            = numbers[j], numbers[i]
					return numbers


if __name__ == "__main__":
					UpperCamelCase__					    =    input("""Enter numbers separated by a comma:\n""").strip()
					UpperCamelCase__					    =    [int(item) for item in user_input.split(""",""")]
					print(exchange_sort(unsorted))




