






import numpy as np

lowerCamelCase__           =				[
    ['a', 'b', 'c', 'd', 'e'],
    ['f', 'g', 'h', 'i', 'k'],
    ['l', 'm', 'n', 'o', 'p'],
    ['q', 'r', 's', 't', 'u'],
    ['v', 'w', 'x', 'y', 'z'],
]




class 					UpperCamelCase	:




					def __init__( self :					List[Any]						):


							"""simple docstring"""




							__snake_case		       =     np.array(_lowerCAmelCase						)




					def 							UpperCamelCase_						( self :					Optional[int]      ,_lowerCAmelCase :					str						):


							"""simple docstring"""




							__snake_case       ,       __snake_case		       =     np.where(letter == self.SQUARE						)
							__snake_case		       =     np.concatenate([indexa + 1, indexa + 1]						)
							return indexes




					def 							UpperCamelCase_						( self :					Tuple      ,_lowerCAmelCase :					int      ,_lowerCAmelCase :					int						):


							"""simple docstring"""




							return self.SQUARE[indexa - 1, indexa - 1]




					def 							UpperCamelCase_						( self :					Tuple      ,_lowerCAmelCase :					str						):


							"""simple docstring"""




							__snake_case		       =     message.lower()
							__snake_case		       =     message.replace("j"      ,"i"						)

							__snake_case		       =     ""
							for letter_index in range(len(_lowerCAmelCase						)						):
									if message[letter_index] != " ":
											__snake_case		       =     self.letter_to_numbers(message[letter_index]						)
											__snake_case		       =     encoded_message + str(numbers[0]						) + str(numbers[1]						)
									elif message[letter_index] == " ":
											__snake_case		       =     encoded_message + " "

							return encoded_message







					def 							UpperCamelCase_						( self :					int      ,_lowerCAmelCase :					str						):


							"""simple docstring"""




							__snake_case		       =     message.replace(" "      ,"  "						)
							__snake_case		       =     ""
							for numbers_index in range(int(len(_lowerCAmelCase						) / 2						)						):
									if message[numbers_index * 2] != " ":
											__snake_case		       =     message[numbers_index * 2]
											__snake_case		       =     message[numbers_index * 2 + 1]

											__snake_case		       =     self.numbers_to_letter(int(_lowerCAmelCase						)      ,int(_lowerCAmelCase						)						)
											__snake_case		       =     decoded_message + letter
									elif message[numbers_index * 2] == " ":
											__snake_case		       =     decoded_message + " "

							return decoded_message






import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_reformer import ReformerTokenizer
else:
		lowerCamelCase__           =				None


lowerCamelCase__           =				logging.get_logger(__name__)


lowerCamelCase__           =				'▁'

lowerCamelCase__           =				{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase__           =				{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    },
    'tokenizer_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'
        )
    },
}

lowerCamelCase__           =				{
    'google/reformer-crime-and-punishment': 52_42_88,
}




class 					UpperCamelCase	(     snake_case__      ):
					__UpperCamelCase						=   VOCAB_FILES_NAMES
					__UpperCamelCase						=   PRETRAINED_VOCAB_FILES_MAP
					__UpperCamelCase						=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__UpperCamelCase						=   ["""input_ids""", """attention_mask"""]
					__UpperCamelCase						=   ReformerTokenizer




					def __init__( self :					Tuple      ,_lowerCAmelCase :					Dict=None      ,_lowerCAmelCase :					Union[str, Any]=None      ,_lowerCAmelCase :					int="</s>"      ,_lowerCAmelCase :					Dict="<unk>"      ,_lowerCAmelCase :					Dict=[]      ,**_lowerCAmelCase :					Optional[Any]      ,):


							"""simple docstring"""




							super().__init__(
							    _lowerCAmelCase      ,tokenizer_file=_lowerCAmelCase      ,eos_token=_lowerCAmelCase      ,unk_token=_lowerCAmelCase      ,additional_special_tokens=_lowerCAmelCase      ,**_lowerCAmelCase      ,)

							__snake_case		       =     vocab_file
							__snake_case		       =     False if not self.vocab_file else True







					def 							UpperCamelCase_						( self :					Dict      ,_lowerCAmelCase :					str      ,_lowerCAmelCase :					Optional[str] = None						):


							"""simple docstring"""




							if not self.can_save_slow_tokenizer:
									raise ValueError(
									    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
									    "tokenizer."						)

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

							if os.path.abspath(self.vocab_file						) != os.path.abspath(_lowerCAmelCase						):
									copyfile(self.vocab_file      ,_lowerCAmelCase						)

							return (out_vocab_file,)





