
import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


__A							=logging.get_logger(__name__)

__A							='''▁'''

__A							={
    '''vocab_file''': '''vocab.json''',
    '''spm_file''': '''sentencepiece.bpe.model''',
}

__A							={
    '''vocab_file''': {
        '''facebook/s2t-small-librispeech-asr''': (
            '''https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json'''
        ),
    },
    '''spm_file''': {
        '''facebook/s2t-small-librispeech-asr''': (
            '''https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model'''
        )
    },
}

__A							={
    '''facebook/s2t-small-librispeech-asr''': 1_0_2_4,
}

__A							=['''pt''', '''fr''', '''ru''', '''nl''', '''ro''', '''it''', '''es''', '''de''']

__A							={'''mustc''': MUSTC_LANGS}




class        _SCREAMING_SNAKE_CASE	( snake_case_		):
	lowerCAmelCase__   =					VOCAB_FILES_NAMES
	lowerCAmelCase__   =					PRETRAINED_VOCAB_FILES_MAP
	lowerCAmelCase__   =					MAX_MODEL_INPUT_SIZES
	lowerCAmelCase__   =					['input_ids', 'attention_mask']

	lowerCAmelCase__   =					[]



	def __init__(       self		,    lowercase		,    lowercase		,    lowercase="<s>"		,    lowercase="</s>"		,    lowercase="<pad>"		,    lowercase="<unk>"		,    lowercase=False		,    lowercase=False		,    lowercase=None		,    lowercase=None		,    lowercase = None		,    **lowercase		,    )							->			None:
					lowerCamelCase_         =     {} if sp_model_kwargs is None else sp_model_kwargs

					super().__init__(
					    bos_token=lowercase		,    eos_token=lowercase		,    unk_token=lowercase		,    pad_token=lowercase		,    do_upper_case=lowercase		,    do_lower_case=lowercase		,    tgt_lang=lowercase		,    lang_codes=lowercase		,    sp_model_kwargs=self.sp_model_kwargs		,    **lowercase		,    )
					lowerCamelCase_         =     do_upper_case
					lowerCamelCase_         =     do_lower_case

					lowerCamelCase_         =     load_json(lowercase					)
					lowerCamelCase_         =     {v: k for k, v in self.encoder.items()}
					lowerCamelCase_         =     spm_file
					lowerCamelCase_         =     load_spm(lowercase		,    self.sp_model_kwargs					)

					if lang_codes is not None:
									lowerCamelCase_         =     lang_codes
									lowerCamelCase_         =     LANGUAGES[lang_codes]
									lowerCamelCase_         =     [f'<lang:{lang}>' for lang in self.langs]
									lowerCamelCase_         =     {lang: self.sp_model.PieceToId(f'<lang:{lang}>'					) for lang in self.langs}

									lowerCamelCase_         =     self.lang_tokens
									lowerCamelCase_         =     tgt_lang if tgt_lang is not None else self.langs[0]

									self.set_tgt_lang_special_tokens(self._tgt_lang					)
					else:
									lowerCamelCase_         =     {}



	@property
	def        SCREAMING_SNAKE_CASE_(       self					)							->			int:
					return len(self.encoder					)



	@property
	def        SCREAMING_SNAKE_CASE_(       self					)							->			str:
					return self._tgt_lang



	@tgt_lang.setter
	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			None:
					lowerCamelCase_         =     new_tgt_lang
					self.set_tgt_lang_special_tokens(lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			None:
					lowerCamelCase_         =     self.lang_code_to_id[tgt_lang]
					lowerCamelCase_         =     [lang_code_id]



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			List[str]:
					return self.sp_model.encode(lowercase		,    out_type=lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Tuple:
					return self.encoder.get(lowercase		,    self.encoder[self.unk_token]					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			str:
					return self.decoder.get(lowercase		,    self.unk_token					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			str:
					lowerCamelCase_         =     []
					lowerCamelCase_         =     ""
					for token in tokens:
									# make sure that special tokens are not decoded using sentencepiece model
									if token in self.all_special_tokens:
													lowerCamelCase_         =     self.sp_model.decode(lowercase					)
													out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
													lowerCamelCase_         =     []
									else:
													current_sub_tokens.append(lowercase					)
					lowerCamelCase_         =     self.sp_model.decode(lowercase					)
					out_string += decoded.upper() if self.do_upper_case else decoded
					return out_string.strip()



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase=None					)							->			List[int]:
					if token_ids_a is None:
									return self.prefix_tokens + token_ids_a + [self.eos_token_id]
					# We don't expect to process pairs, but leave the pair logic for API consistency
					return self.prefix_tokens + token_ids_a + token_ids_a + [self.eos_token_id]



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase = None		,    lowercase = False					)							->			List[int]:

					if already_has_special_tokens:
									return super().get_special_tokens_mask(
									    token_ids_a=lowercase		,    token_ids_a=lowercase		,    already_has_special_tokens=lowercase					)

					lowerCamelCase_         =     [1] * len(self.prefix_tokens					)
					lowerCamelCase_         =     [1]
					if token_ids_a is None:
									return prefix_ones + ([0] * len(lowercase					)) + suffix_ones
					return prefix_ones + ([0] * len(lowercase					)) + ([0] * len(lowercase					)) + suffix_ones



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Dict:
					lowerCamelCase_         =     self.encoder.copy()
					vocab.update(self.added_tokens_encoder					)
					return vocab



	def __getstate__(       self					)							->			Dict:
					lowerCamelCase_         =     self.__dict__.copy()
					lowerCamelCase_         =     None
					return state



	def __setstate__(       self		,    lowercase					)							->			None:
					lowerCamelCase_         =     d

					# for backward compatibility
					if not hasattr(self		,    "sp_model_kwargs"					):
									lowerCamelCase_         =     {}

					lowerCamelCase_         =     load_spm(self.spm_file		,    self.sp_model_kwargs					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase = None					)							->			Tuple[str]:
					lowerCamelCase_         =     Path(lowercase					)
					assert save_dir.is_dir(), f'{save_directory} should be a directory'
					lowerCamelCase_         =     save_dir / (
					    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
					)
					lowerCamelCase_         =     save_dir / (
					    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
					)

					save_json(self.encoder		,    lowercase					)

					if os.path.abspath(self.spm_file					) != os.path.abspath(lowercase					) and os.path.isfile(self.spm_file					):
									copyfile(self.spm_file		,    lowercase					)
					elif not os.path.isfile(self.spm_file					):
									with open(lowercase		,    "wb"					) as fi:
													lowerCamelCase_         =     self.sp_model.serialized_model_proto()
													fi.write(lowercase					)

					return (str(lowercase					), str(lowercase					))





def      lowerCamelCase_					(							lowerCamelCase__      ,					lowerCamelCase__       ):
				lowerCamelCase_         =     sentencepiece.SentencePieceProcessor(**lowerCamelCase__       )
				spm.Load(str(lowerCamelCase__       )       )
				return spm





def      lowerCamelCase_					(							lowerCamelCase__       ):
				with open(lowerCamelCase__      ,					"r"       ) as f:
								return json.load(lowerCamelCase__       )





def      lowerCamelCase_					(							lowerCamelCase__      ,					lowerCamelCase__       ):
				with open(lowerCamelCase__      ,					"w"       ) as f:
								json.dump(lowerCamelCase__      ,					lowerCamelCase__      ,					indent=2       )




import math





def      lowerCamelCase_					(							lowerCamelCase__      ,					lowerCamelCase__       ):
				if 0 not in (x, y):
								# We use the relation x^y = y*log10(x), where 10 is the base.
								return y * math.logaa(lowerCamelCase__       )
				else:
								if x == 0:  # 0 raised to any number is 0
												return 0
								elif y == 0:
												return 1  # any number raised to 0 is 1
				raise AssertionError("This should never happen"       )


if __name__ == "__main__":  # Main function
			# Read two numbers from input and typecast them to int using map function.
			# Here x is the base and y is the power.
			__A							='''Enter the base and the power separated by a comma: '''
			__A,		__A							=map(int, input(prompt).split(''','''))
			__A,		__A							=map(int, input(prompt).split(''','''))

			# We find the log of each number, using the function res(), which takes two
			# arguments.
			__A							=res(xa, ya)
			__A							=res(xa, ya)

			# We check for the largest number
			if resa > resa:
						print('''Largest number is''', xa, '''^''', ya)
			elif resa > resa:
						print('''Largest number is''', xa, '''^''', ya)
			else:
						print('''Both are equal''')


