


'''simple docstring'''



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

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


__A	=logging.get_logger(__name__)


__A	={
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

__A	={
    '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'
        ),
    },
}

__A	='</w>'
__A	='@@ '







def     _UpperCamelCase      (		UpperCamelCase__					):
			UpperCAmelCase__  :					int        =     set()
			UpperCAmelCase__  :					str        =     word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)					)
						UpperCAmelCase__  :					str        =     char
			return pairs


# Speech2Text2 has no max input length
__A	={'facebook/s2t-wav2vec2-large-en-de': 10_24}


class 		_snake_case					(     a__	):
					lowerCAmelCase      :Union[str, Any]   =					VOCAB_FILES_NAMES
					lowerCAmelCase      :Tuple   =					PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase      :Union[str, Any]   =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase      :Union[str, Any]   =					['''input_ids''', '''attention_mask''']




					def __init__(      self							,							_lowerCamelCase							,							_lowerCamelCase="<s>"							,							_lowerCamelCase="<pad>"							,							_lowerCamelCase="</s>"							,							_lowerCamelCase="<unk>"							,							_lowerCamelCase=False							,							_lowerCamelCase=None							,							**_lowerCamelCase							,							):
								super().__init__(
								    unk_token=__A							,							bos_token=__A							,							eos_token=__A							,							pad_token=__A							,							do_lower_case=__A							,							**__A							,							)

								UpperCAmelCase__  :					int        =     do_lower_case

								with open(__A							,							encoding="""utf-8""") as vocab_handle:
											UpperCAmelCase__  :					List[Any]        =     json.load(__A)
								UpperCAmelCase__  :					str        =     {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__  :					List[Any]        =     None
											UpperCAmelCase__  :					str        =     None
								else:
											with open(__A							,							encoding="""utf-8""") as merges_handle:
														UpperCAmelCase__  :					Optional[Any]        =     merges_handle.read().split("""\n""")[:-1]

											UpperCAmelCase__  :					List[Any]        =     [tuple(merge.split()[:2]) for merge in merges]
											UpperCAmelCase__  :					List[Any]        =     dict(zip(__A							,							range(len(__A))))
											UpperCAmelCase__  :					Tuple        =     {}




					@property
					def 				snake_case__						(      self):
								return len(self.decoder)




					def 				snake_case__						(      self):
								return dict(self.encoder							,							**self.added_tokens_encoder)




					def 				snake_case__						(      self							,							_lowerCamelCase):
								UpperCAmelCase__  :					Tuple        =     tuple(token[:-1]) + (token[-1] + BPE_TOKEN_MERGES,)
								if token in self.cache:
											return self.cache[token]
								UpperCAmelCase__  :					Optional[Any]        =     get_pairs(__A)

								if not pairs:
											return token

								while True:
											UpperCAmelCase__  :					Any        =     min(__A							,							key=lambda _lowerCamelCase: self.bpe_ranks.get(__A							,							float("""inf""")))
											if bigram not in self.bpe_ranks:
														break
											UpperCAmelCase__  :					Optional[Any]        =     bigram
											UpperCAmelCase__  :					Optional[Any]        =     []
											UpperCAmelCase__  :					Any        =     0
											while i < len(__A):
														try:
																	UpperCAmelCase__  :					Tuple        =     word.index(__A							,							__A)
														except ValueError:
																	new_word.extend(word[i:])
																	break
														else:
																	new_word.extend(word[i:j])
																	UpperCAmelCase__  :					Union[str, Any]        =     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
											UpperCAmelCase__  :					List[str]        =     tuple(__A)
											UpperCAmelCase__  :					Dict        =     new_word
											if len(__A) == 1:
														break
											else:
														UpperCAmelCase__  :					List[Any]        =     get_pairs(__A)
								UpperCAmelCase__  :					Dict        =     " ".join(__A)
								if word == "\n  " + BPE_TOKEN_MERGES:
											UpperCAmelCase__  :					Any        =     "\n" + BPE_TOKEN_MERGES

								if word.endswith(__A):
											UpperCAmelCase__  :					List[str]        =     word.replace(__A							,							"""""")

								UpperCAmelCase__  :					List[Any]        =     word.replace(""" """							,							__A)
								UpperCAmelCase__  :					Tuple        =     word
								return word




					def 				snake_case__						(      self							,							_lowerCamelCase):

								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__  :					List[Any]        =     text.lower()

								UpperCAmelCase__  :					Optional[int]        =     text.split()

								UpperCAmelCase__  :					Optional[int]        =     []
								for token in text:
											if token:
														split_tokens.extend(list(self.bpe(__A).split(""" """)))

								return split_tokens




					def 				snake_case__						(      self							,							_lowerCamelCase):
								return self.encoder.get(__A							,							self.encoder.get(self.unk_token))




					def 				snake_case__						(      self							,							_lowerCamelCase):
								UpperCAmelCase__  :					List[Any]        =     self.decoder.get(__A							,							self.unk_token)
								return result




					def 				snake_case__						(      self							,							_lowerCamelCase):
								UpperCAmelCase__  :					List[str]        =     " ".join(__A)

								# make sure @@ tokens are concatenated
								UpperCAmelCase__  :					int        =     "".join(string.split(__A))

								return string




					def 				snake_case__						(      self							,							_lowerCamelCase							,							_lowerCamelCase = None):
								if not os.path.isdir(__A):
											logger.error(f'''Vocabulary path ({save_directory}) should be a directory''')
											return
								UpperCAmelCase__  :					Union[str, Any]        =     os.path.join(
								    __A							,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""])
								UpperCAmelCase__  :					Any        =     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""")

								UpperCAmelCase__  :					Dict        =     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 _lowerCamelCase: 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__  :					Any        =     token_index
														writer.write(""" """.join(__A) + """\n""")
														index += 1

								return (vocab_file, merges_file)



'''simple docstring'''



def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__					):
			if height >= 1:
						move_tower(height - 1 ,      UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__					)
						move_disk(UpperCamelCase__ ,      UpperCamelCase__					)
						move_tower(height - 1 ,      UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__					)







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__					):
			print("""moving disk from""" ,      UpperCamelCase__ ,      """to""" ,      UpperCamelCase__					)







def     _UpperCamelCase      (		):
			UpperCAmelCase__  :					List[str]        =     int(input("""Height of hanoi: """					).strip()					)
			move_tower(UpperCamelCase__ ,      """A""" ,      """B""" ,      """C"""					)


if __name__ == "__main__":
		main()