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

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


SCREAMING_SNAKE_CASE__  :     Union[str, Any]   				=       logging.get_logger(__name__)


SCREAMING_SNAKE_CASE__  :     Union[str, Any]   				=       {
    "vocab_file": "vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
    "merges_file": "merges.txt",
}

SCREAMING_SNAKE_CASE__  :     Any   				=       {
    "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"
        ),
    },
}

SCREAMING_SNAKE_CASE__  :     Optional[int]   				=       "</w>"
SCREAMING_SNAKE_CASE__  :     Optional[Any]   				=       "@@ "




def 					__magic_name__					(  __lowerCAmelCase      :		Union[str, Any]				)     ->  Optional[int]:
				__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
SCREAMING_SNAKE_CASE__  :     Dict   				=       {"facebook/s2t-wav2vec2-large-en-de": 1_024}







class   lowerCAmelCase__	(      UpperCamelCase__     ):
		a__			:		List[str]     =						VOCAB_FILES_NAMES
		a__			:		Optional[Any]     =						PRETRAINED_VOCAB_FILES_MAP
		a__			:		List[Any]     =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		a__			:		int     =						['input_ids', 'attention_mask']






		def __init__(						self						:				int				,     SCREAMING_SNAKE_CASE__						:				Dict				,     SCREAMING_SNAKE_CASE__						:				List[str]="<s>"				,     SCREAMING_SNAKE_CASE__						:				Union[str, Any]="<pad>"				,     SCREAMING_SNAKE_CASE__						:				Tuple="</s>"				,     SCREAMING_SNAKE_CASE__						:				List[str]="<unk>"				,     SCREAMING_SNAKE_CASE__						:				Tuple=False				,     SCREAMING_SNAKE_CASE__						:				Any=None				,     **SCREAMING_SNAKE_CASE__						:				Any				,     )	->				Optional[int]:
						super().__init__(
						    unk_token=SCREAMING_SNAKE_CASE__				,     bos_token=SCREAMING_SNAKE_CASE__				,     eos_token=SCREAMING_SNAKE_CASE__				,     pad_token=SCREAMING_SNAKE_CASE__				,     do_lower_case=SCREAMING_SNAKE_CASE__				,     **SCREAMING_SNAKE_CASE__				,     )

						__lowerCamelCase          =      do_lower_case

						with open(SCREAMING_SNAKE_CASE__				,     encoding='''utf-8'''    ) as vocab_handle:
										__lowerCamelCase          =      json.load(SCREAMING_SNAKE_CASE__    )
						__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(SCREAMING_SNAKE_CASE__				,     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(SCREAMING_SNAKE_CASE__				,     range(len(SCREAMING_SNAKE_CASE__    )    )    )    )
										__lowerCamelCase          =      {}






		@property
		def 					__A			(						self						:				Union[str, Any]    )	->				Tuple:
						return len(self.decoder    )






		def 					__A			(						self						:				Optional[int]    )	->				Union[str, Any]:
						return dict(self.encoder				,     **self.added_tokens_encoder    )






		def 					__A			(						self						:				Any				,     SCREAMING_SNAKE_CASE__						:				int    )	->				List[Any]:
						__lowerCamelCase          =      tuple(token[:-1]    ) + (token[-1] + BPE_TOKEN_MERGES,)
						if token in self.cache:
										return self.cache[token]
						__lowerCamelCase          =      get_pairs(SCREAMING_SNAKE_CASE__    )

						if not pairs:
										return token

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

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

						if word.endswith(SCREAMING_SNAKE_CASE__    ):
										__lowerCamelCase          =      word.replace(SCREAMING_SNAKE_CASE__				,     ''''''    )

						__lowerCamelCase          =      word.replace(''' '''				,     SCREAMING_SNAKE_CASE__    )
						__lowerCamelCase          =      word
						return word






		def 					__A			(						self						:				Tuple				,     SCREAMING_SNAKE_CASE__						:				Dict    )	->				str:

						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(SCREAMING_SNAKE_CASE__    ).split(''' '''    )    )    )

						return split_tokens






		def 					__A			(						self						:				List[str]				,     SCREAMING_SNAKE_CASE__						:				Union[str, Any]    )	->				Tuple:
						return self.encoder.get(SCREAMING_SNAKE_CASE__				,     self.encoder.get(self.unk_token    )    )






		def 					__A			(						self						:				Dict				,     SCREAMING_SNAKE_CASE__						:				Optional[int]    )	->				Tuple:
						__lowerCamelCase          =      self.decoder.get(SCREAMING_SNAKE_CASE__				,     self.unk_token    )
						return result






		def 					__A			(						self						:				Dict				,     SCREAMING_SNAKE_CASE__						:				Optional[Any]    )	->				List[Any]:
						__lowerCamelCase          =      ''' '''.join(SCREAMING_SNAKE_CASE__    )

						# make sure @@ tokens are concatenated
						__lowerCamelCase          =      ''''''.join(string.split(SCREAMING_SNAKE_CASE__    )    )

						return string







		def 					__A			(						self						:				List[str]				,     SCREAMING_SNAKE_CASE__						:				Union[str, Any]				,     SCREAMING_SNAKE_CASE__						:				int = None    )	->				Optional[int]:
						if not os.path.isdir(SCREAMING_SNAKE_CASE__    ):
										logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''    )
										return
						__lowerCamelCase          =      os.path.join(
						    SCREAMING_SNAKE_CASE__				,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']    )
						__lowerCamelCase          =      os.path.join(
						    SCREAMING_SNAKE_CASE__				,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']    )

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

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

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

						return (vocab_file, merges_file)





'''simple docstring'''
def      UpperCamelCase_				(      A__  ,      A__  ,      A__						):

	def count_of_possible_combinations(A__						) -> int:
		if target < 0:
			return 0
		if target == 0:
			return 1
		return sum(count_of_possible_combinations(target - item						) for item in array						)

	return count_of_possible_combinations(A__						)






def      UpperCamelCase_				(      A__  ,      A__  ,      A__						):

	def count_of_possible_combinations_with_dp_array(
	    A__  ,      A__						) -> int:
		if target < 0:
			return 0
		if target == 0:
			return 1
		if dp_array[target] != -1:
			return dp_array[target]
		a_      				=						sum(
		    count_of_possible_combinations_with_dp_array(target - item  ,      A__						)
		    for item in array						)
		a_      				=						answer
		return answer

	a_      				=						[-1] * (target + 1)
	return count_of_possible_combinations_with_dp_array(A__  ,      A__						)






def      UpperCamelCase_				(      A__  ,      A__  ,      A__						):
	a_      				=						[0] * (target + 1)
	a_      				=						1

	for i in range(1  ,      target + 1						):
		for j in range(A__						):
			if i - array[j] >= 0:
				dp_array[i] += dp_array[i - array[j]]

	return dp_array[target]


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		lowercase__											=3
		lowercase__											=5
		lowercase__											=[1, 2, 5]
		print(combination_sum_iv(n, array, target))
