
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 							__A(lowerCAmelCase )		->				List[Any]:

		"""simple docstring"""






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


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







class        lowerCAmelCase__      (   __lowercase	):
						UpperCamelCase_							: int	=		VOCAB_FILES_NAMES
						UpperCamelCase_							: List[str]	=		PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase_							: Tuple	=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase_							: Tuple	=		["input_ids", "attention_mask"]

						def __init__(			self       ,							a       ,							a="<s>"       ,							a="<pad>"       ,							a="</s>"       ,							a="<unk>"       ,							a=False       ,							a=None       ,							**a       ,							)					->      List[str]:


								'''simple docstring'''

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

								_UpperCamelCase						    =	do_lower_case

								with open(a       ,							encoding="""utf-8"""				) as vocab_handle:
										_UpperCamelCase						    =	json.load(a				)
								_UpperCamelCase						    =	{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						    =	None
										_UpperCamelCase						    =	None
								else:
										with open(a       ,							encoding="""utf-8"""				) as merges_handle:
												_UpperCamelCase						    =	merges_handle.read().split("""\n"""				)[:-1]

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

						@property
						def  A_				(			self				)					->      int:


								'''simple docstring'''

								return len(self.decoder				)

						def  A_				(			self				)					->      Dict:


								'''simple docstring'''

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

						def  A_				(			self       ,							a				)					->      Optional[Any]:


								'''simple docstring'''

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

								if not pairs:
										return token

								while True:
										_UpperCamelCase						    =	min(a       ,							key=lambda a				: self.bpe_ranks.get(a       ,							float("""inf"""				)				)				)
										if bigram not in self.bpe_ranks:
												break
										_UpperCamelCase    ,	_UpperCamelCase						    =	bigram
										_UpperCamelCase						    =	[]
										_UpperCamelCase						    =	0
										while i < len(a				):
												try:
														_UpperCamelCase						    =	word.index(a       ,							a				)
												except ValueError:
														new_word.extend(word[i:]				)
														break
												else:
														new_word.extend(word[i:j]				)
														_UpperCamelCase						    =	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						    =	tuple(a				)
										_UpperCamelCase						    =	new_word
										if len(a				) == 1:
												break
										else:
												_UpperCamelCase						    =	get_pairs(a				)
								_UpperCamelCase						    =	""" """.join(a				)
								if word == "\n  " + BPE_TOKEN_MERGES:
										_UpperCamelCase						    =	"""\n""" + BPE_TOKEN_MERGES

								if word.endswith(a				):
										_UpperCamelCase						    =	word.replace(a       ,							""""""				)

								_UpperCamelCase						    =	word.replace(""" """       ,							a				)
								_UpperCamelCase						    =	word
								return word

						def  A_				(			self       ,							a				)					->      List[str]:


								'''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:
										_UpperCamelCase						    =	text.lower()

								_UpperCamelCase						    =	text.split()

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

								return split_tokens

						def  A_				(			self       ,							a				)					->      int:


								'''simple docstring'''

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

						def  A_				(			self       ,							a				)					->      str:


								'''simple docstring'''

								_UpperCamelCase						    =	self.decoder.get(a       ,							self.unk_token				)
								return result

						def  A_				(			self       ,							a				)					->      str:


								'''simple docstring'''

								_UpperCamelCase						    =	""" """.join(a				)

								# make sure @@ tokens are concatenated
								_UpperCamelCase						    =	"""""".join(string.split(a				)				)

								return string







						def  A_				(			self       ,							a       ,							a = None				)					->      Tuple[str]:


								'''simple docstring'''

								if not os.path.isdir(a				):
										logger.error(F'Vocabulary path ({save_directory}) should be a directory'				)
										return
								_UpperCamelCase						    =	os.path.join(
								    a       ,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)
								_UpperCamelCase						    =	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						    =	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!"""				)
														_UpperCamelCase						    =	token_index
												writer.write(""" """.join(a				) + """\n"""				)
												index += 1

								return (vocab_file, merges_file)





def 							__A(lowerCAmelCase )		->				list[list[int]]:

		"""simple docstring"""






		_UpperCamelCase						    =	[]
		if len(lowerCAmelCase ) == 1:
				return [nums.copy()]
		for _ in range(len(lowerCAmelCase ) ):
				_UpperCamelCase						    =	nums.pop(0 )
				_UpperCamelCase						    =	permute(lowerCAmelCase )
				for perm in permutations:
						perm.append(lowerCAmelCase )
				result.extend(lowerCAmelCase )
				nums.append(lowerCAmelCase )
		return result


def 							__A(lowerCAmelCase )		->				Optional[int]:

		"""simple docstring"""






		def backtrack(lowerCAmelCase ):
				if start == len(lowerCAmelCase ) - 1:
						output.append(nums[:] )
				else:
						for i in range(lowerCAmelCase						,  len(lowerCAmelCase ) ):
								_UpperCamelCase    ,	_UpperCamelCase						    =	nums[i], nums[start]
								backtrack(start + 1 )
								_UpperCamelCase    ,	_UpperCamelCase						    =	nums[i], nums[start]  # backtrack

		_UpperCamelCase						    =	[]
		backtrack(0 )
		return output


if __name__ == "__main__":
		import doctest

		# use res to print the data in permute2 function
		lowerCamelCase__	=							permutea([1, 2, 3])
		print(res)
		doctest.testmod()



