


'''simple docstring'''
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


__snake_case											=					logging.get_logger(__name__)

__snake_case											=					'''▁'''

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

__snake_case											=					{
    '''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'''
        )
    },
}

__snake_case											=					{
    '''facebook/s2t-small-librispeech-asr''': 1024,
}

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

__snake_case											=					{'''mustc''': MUSTC_LANGS}
class        lowercase     (							A__ ):

		"""simple docstring"""

		_a   			=    VOCAB_FILES_NAMES
		_a   			=    PRETRAINED_VOCAB_FILES_MAP
		_a   			=    MAX_MODEL_INPUT_SIZES
		_a   			=    ['input_ids', 'attention_mask']

		_a   			=    []




		def __init__(		self   ,       UpperCamelCase_   ,       UpperCamelCase_   ,       UpperCamelCase_="<s>"   ,       UpperCamelCase_="</s>"   ,       UpperCamelCase_="<pad>"   ,       UpperCamelCase_="<unk>"   ,       UpperCamelCase_=False   ,       UpperCamelCase_=False   ,       UpperCamelCase_=None   ,       UpperCamelCase_=None   ,       UpperCamelCase_ = None   ,       **UpperCamelCase_   ,       ):

							'''simple docstring'''


							UpperCamelCase__       :str							 =			{} if sp_model_kwargs is None else sp_model_kwargs

							super().__init__(
							    bos_token=UpperCamelCase_   ,       eos_token=UpperCamelCase_   ,       unk_token=UpperCamelCase_   ,       pad_token=UpperCamelCase_   ,       do_upper_case=UpperCamelCase_   ,       do_lower_case=UpperCamelCase_   ,       tgt_lang=UpperCamelCase_   ,       lang_codes=UpperCamelCase_   ,       sp_model_kwargs=self.sp_model_kwargs   ,       **UpperCamelCase_   ,       )
							UpperCamelCase__       :Dict							 =			do_upper_case
							UpperCamelCase__       :Tuple							 =			do_lower_case

							UpperCamelCase__       :Union[str, Any]							 =			load_json(UpperCamelCase_							)
							UpperCamelCase__       :Dict							 =			{v: k for k, v in self.encoder.items()}
							UpperCamelCase__       :Union[str, Any]							 =			spm_file
							UpperCamelCase__       :Optional[Any]							 =			load_spm(UpperCamelCase_   ,       self.sp_model_kwargs							)

							if lang_codes is not None:
												UpperCamelCase__       :str							 =			lang_codes
												UpperCamelCase__       :Optional[int]							 =			LANGUAGES[lang_codes]
												UpperCamelCase__       :Optional[Any]							 =			[F'''<lang:{lang}>''' for lang in self.langs]
												UpperCamelCase__       :Tuple							 =			{lang: self.sp_model.PieceToId(F'''<lang:{lang}>'''							) for lang in self.langs}

												UpperCamelCase__       :Optional[int]							 =			self.lang_tokens
												UpperCamelCase__       :str							 =			tgt_lang if tgt_lang is not None else self.langs[0]

												self.set_tgt_lang_special_tokens(self._tgt_lang							)
							else:
												UpperCamelCase__       :List[Any]							 =			{}




		@property
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							return len(self.encoder							)




		@property
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							return self._tgt_lang




		@tgt_lang.setter
		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__       :Any							 =			new_tgt_lang
							self.set_tgt_lang_special_tokens(UpperCamelCase_							)




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__       :List[Any]							 =			self.lang_code_to_id[tgt_lang]
							UpperCamelCase__       :List[Any]							 =			[lang_code_id]




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							return self.sp_model.encode(UpperCamelCase_   ,       out_type=UpperCamelCase_							)




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							return self.encoder.get(UpperCamelCase_   ,       self.encoder[self.unk_token]							)




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							return self.decoder.get(UpperCamelCase_   ,       self.unk_token							)




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__       :List[Any]							 =			[]
							UpperCamelCase__       :List[Any]							 =			''''''
							for token in tokens:
												# make sure that special tokens are not decoded using sentencepiece model
												if token in self.all_special_tokens:
																	UpperCamelCase__       :Dict							 =			self.sp_model.decode(UpperCamelCase_							)
																	out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
																	UpperCamelCase__       :Dict							 =			[]
												else:
																	current_sub_tokens.append(UpperCamelCase_							)
							UpperCamelCase__       :Any							 =			self.sp_model.decode(UpperCamelCase_							)
							out_string += decoded.upper() if self.do_upper_case else decoded
							return out_string.strip()




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_   ,       UpperCamelCase_=None							):

							'''simple docstring'''


							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    lowerCAmelCase__    (		self   ,       UpperCamelCase_   ,       UpperCamelCase_ = None   ,       UpperCamelCase_ = False							):

							'''simple docstring'''


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

							UpperCamelCase__       :Optional[Any]							 =			[1] * len(self.prefix_tokens							)
							UpperCamelCase__       :List[str]							 =			[1]
							if token_ids_a is None:
												return prefix_ones + ([0] * len(UpperCamelCase_							)) + suffix_ones
							return prefix_ones + ([0] * len(UpperCamelCase_							)) + ([0] * len(UpperCamelCase_							)) + suffix_ones




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Tuple							 =			self.encoder.copy()
							vocab.update(self.added_tokens_encoder							)
							return vocab




		def __getstate__(		self							):

							'''simple docstring'''


							UpperCamelCase__       :Union[str, Any]							 =			self.__dict__.copy()
							UpperCamelCase__       :int							 =			None
							return state




		def __setstate__(		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__       :Optional[Any]							 =			d

							# for backward compatibility
							if not hasattr(self   ,       '''sp_model_kwargs'''							):
												UpperCamelCase__       :Any							 =			{}

							UpperCamelCase__       :str							 =			load_spm(self.spm_file   ,       self.sp_model_kwargs							)




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_   ,       UpperCamelCase_ = None							):

							'''simple docstring'''


							UpperCamelCase__       :Any							 =			Path(UpperCamelCase_							)
							assert save_dir.is_dir(), F'''{save_directory} should be a directory'''
							UpperCamelCase__       :List[str]							 =			save_dir / (
							    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
							)
							UpperCamelCase__       :Tuple							 =			save_dir / (
							    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
							)

							save_json(self.encoder   ,       UpperCamelCase_							)

							if os.path.abspath(self.spm_file							) != os.path.abspath(UpperCamelCase_							) and os.path.isfile(self.spm_file							):
												copyfile(self.spm_file   ,       UpperCamelCase_							)
							elif not os.path.isfile(self.spm_file							):
												with open(UpperCamelCase_   ,       '''wb'''							) as fi:
																	UpperCamelCase__       :Optional[Any]							 =			self.sp_model.serialized_model_proto()
																	fi.write(UpperCamelCase_							)

							return (str(UpperCamelCase_							), str(UpperCamelCase_							))



def       a				(      __a			, __a       )  ->     sentencepiece.SentencePieceProcessor:
					UpperCamelCase__       :Any							 =			sentencepiece.SentencePieceProcessor(**__a       )
					spm.Load(str(__a       )       )
					return spm


def       a				(      __a       )  ->     Union[Dict, List]:






					with open(__a			, '''r'''       ) as f:
										return json.load(__a       )







def       a				(      __a			, __a       )  ->     None:






					with open(__a			, '''w'''       ) as f:
										json.dump(__a			, __a			, indent=2       )



'''simple docstring'''
from collections import Counter
from timeit import timeit


def       a				(      __a = ""			, )  ->     bool:



					'''simple docstring'''






					return sum(c % 2 for c in Counter(input_str.replace(''' '''			, ''''''       ).lower()       ).values()       ) < 2


def       a				(      __a = ""       )  ->     bool:



					'''simple docstring'''






					if len(__a       ) == 0:
										return True
					UpperCamelCase__       :List[Any]							 =			input_str.replace(''' '''			, ''''''       ).lower()
					# character_freq_dict: Stores the frequency of every character in the input string
					UpperCamelCase__       :dict[str, int]							 =			{}

					for character in lower_case_input_str:
										UpperCamelCase__       :Optional[int]							 =			character_freq_dict.get(__a			, 0       ) + 1
					UpperCamelCase__       :List[str]							 =			0

					for character_count in character_freq_dict.values():
										if character_count % 2:
															odd_char += 1
					if odd_char > 1:
										return False
					return True


def       a				(      __a = ""       )  ->     None:



					'''simple docstring'''






					print('''\nFor string = '''			, __a			, ''':'''       )
					print(
					    '''> can_string_be_rearranged_as_palindrome_counter()'''			, '''\tans ='''			, can_string_be_rearranged_as_palindrome_counter(__a       )			, '''\ttime ='''			, timeit(
					        '''z.can_string_be_rearranged_as_palindrome_counter(z.check_str)'''			, setup='''import __main__ as z'''			, )			, '''seconds'''			, )
					print(
					    '''> can_string_be_rearranged_as_palindrome()'''			, '''\tans ='''			, can_string_be_rearranged_as_palindrome(__a       )			, '''\ttime ='''			, timeit(
					        '''z.can_string_be_rearranged_as_palindrome(z.check_str)'''			, setup='''import __main__ as z'''			, )			, '''seconds'''			, )


if __name__ == "__main__":
		__snake_case											=					input(
		    '''Enter string to determine if it can be rearranged as a palindrome or not: '''
		).strip()
		benchmark(check_str)
		__snake_case											=					can_string_be_rearranged_as_palindrome_counter(check_str)
		print(F"""{check_str} can {'' if status else 'not '}be rearranged as a palindrome""")