






'''simple docstring'''







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

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


_A     :      Any   					=     logging.get_logger(__name__)


_A     :      Any   					=     {
    """vocab_file""": """vocab.json""",
    """tokenizer_config_file""": """tokenizer_config.json""",
    """merges_file""": """merges.txt""",
}

_A     :      Union[str, 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"""
        ),
    },
}

_A     :      str   					=     """</w>"""
_A     :      Optional[int]   					=     """@@ """





def 			SCREAMING_SNAKE_CASE_	(UpperCamelCase				)				->	List[str]:
							lowerCamelCase__ :     Any	  =	set()
							lowerCamelCase__ :     int	  =	word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)				)
														lowerCamelCase__ :     Optional[Any]	  =	char
							return pairs


# Speech2Text2 has no max input length
_A     :      Any   					=     {"""facebook/s2t-wav2vec2-large-en-de""": 1_024}



class _lowercase     (    lowerCamelCase__		):
							a    				=	VOCAB_FILES_NAMES
							a    				=	PRETRAINED_VOCAB_FILES_MAP
							a    				=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							a    				=	['input_ids', 'attention_mask']




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

														lowerCamelCase__ :     List[Any]	  =	do_lower_case

														with open(UpperCamelCase__      ,							encoding="""utf-8"""					) as vocab_handle:
																					lowerCamelCase__ :     Tuple	  =	json.load(UpperCamelCase__					)
														lowerCamelCase__ :     List[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.'''					)

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

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




							@property
							def 		lowerCamelCase_    (							self:    Dict					):
														return len(self.decoder					)




							def 		lowerCamelCase_    (							self:    List[Any]					):
														return dict(self.encoder      ,							**self.added_tokens_encoder					)




							def 		lowerCamelCase_    (							self:    str      ,							UpperCamelCase__:    List[str]					):
														lowerCamelCase__ :     int	  =	tuple(token[:-1]					) + (token[-1] + BPE_TOKEN_MERGES,)
														if token in self.cache:
																					return self.cache[token]
														lowerCamelCase__ :     Any	  =	get_pairs(UpperCamelCase__					)

														if not pairs:
																					return token

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

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

														if word.endswith(UpperCamelCase__					):
																					lowerCamelCase__ :     List[str]	  =	word.replace(UpperCamelCase__      ,							""""""					)

														lowerCamelCase__ :     Dict	  =	word.replace(""" """      ,							UpperCamelCase__					)
														lowerCamelCase__ :     Union[str, Any]	  =	word
														return word




							def 		lowerCamelCase_    (							self:    Dict      ,							UpperCamelCase__:    Optional[Any]					):







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

														lowerCamelCase__ :     Union[str, Any]	  =	text.split()

														lowerCamelCase__ :     Any	  =	[]
														for token in text:
																					if token:
																												split_tokens.extend(list(self.bpe(UpperCamelCase__					).split(""" """					)					)					)

														return split_tokens




							def 		lowerCamelCase_    (							self:    Union[str, Any]      ,							UpperCamelCase__:    List[str]					):
														return self.encoder.get(UpperCamelCase__      ,							self.encoder.get(self.unk_token					)					)




							def 		lowerCamelCase_    (							self:    Dict      ,							UpperCamelCase__:    Optional[Any]					):
														lowerCamelCase__ :     List[Any]	  =	self.decoder.get(UpperCamelCase__      ,							self.unk_token					)
														return result




							def 		lowerCamelCase_    (							self:    List[Any]      ,							UpperCamelCase__:    str					):
														lowerCamelCase__ :     Optional[int]	  =	""" """.join(UpperCamelCase__					)

														# make sure @@ tokens are concatenated
														lowerCamelCase__ :     List[str]	  =	"""""".join(string.split(UpperCamelCase__					)					)

														return string




							def 		lowerCamelCase_    (							self:    List[Any]      ,							UpperCamelCase__:    Dict      ,							UpperCamelCase__:    List[Any] = None					):







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

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

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

														with open(UpperCamelCase__      ,							"""w"""      ,							encoding="""utf-8"""					) as writer:
																					for bpe_tokens, token_index in sorted(self.bpe_ranks.items()      ,							key=lambda UpperCamelCase__					: 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__ :     Union[str, Any]	  =	token_index
																												writer.write(""" """.join(UpperCamelCase__					) + """\n"""					)
																												index += 1

														return (vocab_file, merges_file)









'''simple docstring'''







from __future__ import annotations





def 			SCREAMING_SNAKE_CASE_	(UpperCamelCase    ,      UpperCamelCase				)				->	list[str]:
							if nth_term == "":
														return [""]
							lowerCamelCase__ :     str	  =	int(UpperCamelCase				)
							lowerCamelCase__ :     Union[str, Any]	  =	int(UpperCamelCase				)
							lowerCamelCase__ :     list[str]	  =	[]
							for temp in range(int(UpperCamelCase				)				):
														series.append(f'''1 / {pow(temp + 1    ,      int(UpperCamelCase				)				)}''' if series else """1"""				)
							return series


if __name__ == "__main__":
			import doctest

			doctest.testmod()

			_A     :      Optional[Any]   					=int(input('''Enter the last number (nth term) of the P-Series'''))
			_A     :      List[str]   					=int(input('''Enter the power for  P-Series'''))
			print('''Formula of P-Series => 1+1/2^p+1/3^p ..... 1/n^p''')
			print(p_series(nth_term, power))

