

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 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							List[str]      )			->      Dict:




				'''simple docstring'''





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


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





class 					a__						(						__a			):
			"""simple docstring"""







			__lowerCamelCase        =       VOCAB_FILES_NAMES
			__lowerCamelCase        =       PRETRAINED_VOCAB_FILES_MAP
			__lowerCamelCase        =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__lowerCamelCase        =       ['''input_ids''', '''attention_mask''']


			def __init__(    self      ,      lowercase      ,      lowercase="<s>"      ,      lowercase="<pad>"      ,      lowercase="</s>"      ,      lowercase="<unk>"      ,      lowercase=False      ,      lowercase=None      ,      **lowercase      ,      )  ->						List[Any]:
							'''simple docstring'''






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

							A__        =			do_lower_case

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

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


			@property
			def      UpperCamelCase		(    self       )  ->						str:
							'''simple docstring'''






							return len(self.decoder       )


			def      UpperCamelCase		(    self       )  ->						Optional[int]:
							'''simple docstring'''






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


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						Any:
							'''simple docstring'''






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

							if not pairs:
											return token

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

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

							if word.endswith(snake_case__       ):
											A__        =			word.replace(snake_case__      ,      ""       )

							A__        =			word.replace(" "      ,      snake_case__       )
							A__        =			word
							return word


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						Optional[int]:
							'''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:
											A__        =			text.lower()

							A__        =			text.split()

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

							return split_tokens


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						Optional[Any]:
							'''simple docstring'''






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


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						Dict:
							'''simple docstring'''






							A__        =			self.decoder.get(snake_case__      ,      self.unk_token       )
							return result


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						int:
							'''simple docstring'''






							A__        =			" ".join(snake_case__       )

							# make sure @@ tokens are concatenated
							A__        =			"".join(string.split(snake_case__       )       )

							return string


			def      UpperCamelCase		(    self      ,      lowercase      ,      lowercase = None       )  ->						Union[str, Any]:
							'''simple docstring'''






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

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

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

							with open(snake_case__      ,      "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__        =			token_index
															writer.write(" ".join(snake_case__       ) + "\n"       )
															index += 1

							return (vocab_file, merges_file)




import math

lowerCAmelCase__	   = 1_0
lowerCAmelCase__	   = 7
lowerCAmelCase__	   = BALLS_PER_COLOUR * NUM_COLOURS



def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							int = 2_0      )			->      str:




				'''simple docstring'''





				A__        =			math.comb(SCREAMING_SNAKE_CASE_	,       SCREAMING_SNAKE_CASE_      )
				A__        =			math.comb(NUM_BALLS - BALLS_PER_COLOUR	,       SCREAMING_SNAKE_CASE_      )

				A__        =			NUM_COLOURS * (1 - missing_colour / total)

				return F'{result:.9f}'


if __name__ == "__main__":
	print(solution(2_0))

