



'''simple docstring'''




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

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


lowerCamelCase							:Any				    =					logging.get_logger(__name__)


lowerCamelCase							:Optional[Any]				    =					{
    '''vocab_file''': '''vocab.json''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
    '''merges_file''': '''merges.txt''',
}

lowerCamelCase							:Dict				    =					{
    '''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							:Any				    =					'''</w>'''
lowerCamelCase							:List[Any]				    =					'''@@ '''



def 	a			( lowerCamelCase__    ):
			'''simple docstring'''





			A_	:						str	=     set()
			A_	:						Tuple	=     word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)    )
						A_	:						List[Any]	=     char
			return pairs


# Speech2Text2 has no max input length
lowerCamelCase							:Tuple				    =					{'''facebook/s2t-wav2vec2-large-en-de''': 1_0_2_4}







class 	_lowerCAmelCase							(			__UpperCAmelCase ):
	__SCREAMING_SNAKE_CASE   :		Union[str, Any]					=					VOCAB_FILES_NAMES
	__SCREAMING_SNAKE_CASE   :		Any					=					PRETRAINED_VOCAB_FILES_MAP
	__SCREAMING_SNAKE_CASE   :		Dict					=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__SCREAMING_SNAKE_CASE   :		Optional[int]					=					['input_ids', 'attention_mask']


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

				A_	:						Dict	=     do_lower_case

				with open(lowercase       ,      encoding="""utf-8"""							) as vocab_handle:
							A_	:						List[Any]	=     json.load(lowercase							)
				A_	:						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.'							)

							A_	:						Tuple	=     None
							A_	:						List[Any]	=     None
				else:
							with open(lowercase       ,      encoding="""utf-8"""							) as merges_handle:
										A_	:						List[str]	=     merges_handle.read().split("""\n"""							)[:-1]

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


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


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


	def     _a	(self       ,      lowercase							):
				A_	:						str	=     tuple(token[:-1]							) + (token[-1] + BPE_TOKEN_MERGES,)
				if token in self.cache:
							return self.cache[token]
				A_	:						Optional[int]	=     get_pairs(lowercase							)

				if not pairs:
							return token

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

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

				if word.endswith(lowercase							):
							A_	:						int	=     word.replace(lowercase       ,      """"""							)

				A_	:						int	=     word.replace(""" """       ,      lowercase							)
				A_	:						Dict	=     word
				return word


	def     _a	(self       ,      lowercase							):

				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:
							A_	:						List[str]	=     text.lower()

				A_	:						int	=     text.split()

				A_	:						str	=     []
				for token in text:
							if token:
										split_tokens.extend(list(self.bpe(lowercase							).split(""" """							)							)							)

				return split_tokens


	def     _a	(self       ,      lowercase							):
				return self.encoder.get(lowercase       ,      self.encoder.get(self.unk_token							)							)


	def     _a	(self       ,      lowercase							):
				A_	:						Union[str, Any]	=     self.decoder.get(lowercase       ,      self.unk_token							)
				return result


	def     _a	(self       ,      lowercase							):
				A_	:						List[str]	=     """ """.join(lowercase							)

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

				return string


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

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

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

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

				return (vocab_file, merges_file)




'''simple docstring'''




from math import pow



def 	a			( lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__						,      ):
			'''simple docstring'''





			if current_sum == needed_sum:
						# If the sum of the powers is equal to needed_sum, then we have a solution.
						solutions_count += 1
						return current_sum, solutions_count

			A_	:						Optional[int]	=     int(pow(lowerCamelCase__						,      lowerCamelCase__    )    )
			if current_sum + i_to_n <= needed_sum:
						# If the sum of the powers is less than needed_sum, then continue adding powers.
						current_sum += i_to_n
						A_,    A_	:						int	=     backtrack(
						    lowerCamelCase__						,      lowerCamelCase__						,      current_number + 1						,      lowerCamelCase__						,      lowerCamelCase__    )
						current_sum -= i_to_n
			if i_to_n < needed_sum:
						# If the power of i is less than needed_sum, then try with the next power.
						A_,    A_	:						int	=     backtrack(
						    lowerCamelCase__						,      lowerCamelCase__						,      current_number + 1						,      lowerCamelCase__						,      lowerCamelCase__    )
			return current_sum, solutions_count



def 	a			( lowerCamelCase__						,      lowerCamelCase__    ):
			'''simple docstring'''





			if not (1 <= needed_sum <= 10_00 and 2 <= power <= 10):
						raise ValueError(
						    """Invalid input\n"""
						    """needed_sum must be between 1 and 1000, power between 2 and 10."""    )

			return backtrack(lowerCamelCase__						,      lowerCamelCase__						,      1						,      0						,      0    )[1]  # Return the solutions_count


if __name__ == "__main__":
						import doctest

						doctest.testmod()