






import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
	from transformers.pipelines.conversational import Conversation


lowerCamelCase       :       Union[str, Any]        =				logging.get_logger(__name__)

lowerCamelCase       :       List[Any]        =				{'''tokenizer_file''': '''tokenizer.json'''}

lowerCamelCase       :       List[str]        =				{
    '''tokenizer_file''': {
        '''bigscience/tokenizer''': '''https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json''',
        '''bigscience/bloom-560m''': '''https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b1''': '''https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b7''': '''https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json''',
        '''bigscience/bloom-3b''': '''https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json''',
        '''bigscience/bloom-7b1''': '''https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json''',
        '''bigscience/bloom''': '''https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json''',
    },
}

class 						lowerCAmelCase   (       __a	):

					'''simple docstring'''

					_A  :	Dict     =					VOCAB_FILES_NAMES
					_A  :	List[str]     =					PRETRAINED_VOCAB_FILES_MAP
					_A  :	int     =					['''input_ids''', '''attention_mask''']
					_A  :	Tuple     =					None



					def __init__(     self :		Tuple						,   __a :		Optional[Any]=None						,   __a :		Any=None						,   __a :		int=None						,   __a :		Tuple="<unk>"						,   __a :		Tuple="<s>"						,   __a :		Optional[int]="</s>"						,   __a :		int="<pad>"						,   __a :		List[str]=False						,   __a :		str=False						,   **__a :		Any						,   )	->     Dict:


												"""simple docstring"""

												super().__init__(
												    __a						,   __a						,   tokenizer_file=__a						,   unk_token=__a						,   bos_token=__a						,   eos_token=__a						,   pad_token=__a						,   add_prefix_space=__a						,   clean_up_tokenization_spaces=__a						,   **__a						,   )
												__lowercase					:							Any			=   json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()							)
												if pre_tok_state.get("""add_prefix_space"""						,   __a							) != add_prefix_space:
																			__lowercase					:							int			=   getattr(__a						,   pre_tok_state.pop("""type"""							)							)
																			__lowercase					:							str			=   add_prefix_space
																			__lowercase					:							List[Any]			=   pre_tok_class(**__a							)

												__lowercase					:							List[str]			=   add_prefix_space



					def 					lowerCAmelCase (     self :		int						,   *__a :		List[str]						,   **__a :		str							)	->     BatchEncoding:


												"""simple docstring"""

												__lowercase					:							Dict			=   kwargs.get("""is_split_into_words"""						,   __a							)
												if not (self.add_prefix_space or not is_split_into_words):
																			raise Exception(
																			    F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
																			    """ pretokenized inputs."""							)

												return super()._batch_encode_plus(*__a						,   **__a							)



					def 					lowerCAmelCase (     self :		Union[str, Any]						,   *__a :		Optional[int]						,   **__a :		Union[str, Any]							)	->     BatchEncoding:


												"""simple docstring"""

												__lowercase					:							Union[str, Any]			=   kwargs.get("""is_split_into_words"""						,   __a							)

												if not (self.add_prefix_space or not is_split_into_words):
																			raise Exception(
																			    F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
																			    """ pretokenized inputs."""							)

												return super()._encode_plus(*__a						,   **__a							)



					def 					lowerCAmelCase (     self :		List[str]						,   __a :		str						,   __a :		Optional[str] = None							)	->     Tuple[str]:


												"""simple docstring"""

												__lowercase					:							Optional[Any]			=   self._tokenizer.model.save(__a						,   name=__a							)
												return tuple(__a							)



					def 					lowerCAmelCase (     self :		int						,   __a :		"Conversation"							)	->     List[int]:


												"""simple docstring"""

												__lowercase					:							Optional[Any]			=   []
												for is_user, text in conversation.iter_texts():
																			input_ids.extend(self.encode(__a						,   add_special_tokens=__a							) + [self.eos_token_id]							)

												if len(__a							) > self.model_max_length:
																			__lowercase					:							int			=   input_ids[-self.model_max_length :]
												return input_ids







lowerCamelCase       :       Optional[Any]        =				'''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''
def 					snake_case_						(   ):
							__lowercase					:							List[str]			=   input("""Enter message: """					)
							__lowercase					:							int			=   input("""Enter key [alphanumeric]: """					)
							__lowercase					:							Optional[Any]			=   input("""Encrypt/Decrypt [e/d]: """					)

							if mode.lower().startswith("""e"""					):
														__lowercase					:							Optional[int]			=   """encrypt"""
														__lowercase					:							Dict			=   encrypt_message(lowerCAmelCase_				,				lowerCAmelCase_					)
							elif mode.lower().startswith("""d"""					):
														__lowercase					:							Union[str, Any]			=   """decrypt"""
														__lowercase					:							Optional[int]			=   decrypt_message(lowerCAmelCase_				,				lowerCAmelCase_					)

							print(F"\n{mode.title()}ed message:"					)
							print(lowerCAmelCase_					)
def 					snake_case_						(   lowerCAmelCase_				:  str				,				lowerCAmelCase_				:  str					):
							return translate_message(lowerCAmelCase_				,				lowerCAmelCase_				,				"""encrypt"""					)
def 					snake_case_						(   lowerCAmelCase_				:  str				,				lowerCAmelCase_				:  str					):
							return translate_message(lowerCAmelCase_				,				lowerCAmelCase_				,				"""decrypt"""					)
def 					snake_case_						(   lowerCAmelCase_				:  str				,				lowerCAmelCase_				:  str				,				lowerCAmelCase_				:  str					):
							__lowercase					:							Union[str, Any]			=   []
							__lowercase					:							Tuple			=   0
							__lowercase					:							Dict			=   key.upper()

							for symbol in message:
														__lowercase					:							Optional[Any]			=   LETTERS.find(symbol.upper()					)
														if num != -1:
																					if mode == "encrypt":
																												num += LETTERS.find(key[key_index]					)
																					elif mode == "decrypt":
																												num -= LETTERS.find(key[key_index]					)

																					num %= len(lowerCAmelCase_					)

																					if symbol.isupper():
																												translated.append(LETTERS[num]					)
																					elif symbol.islower():
																												translated.append(LETTERS[num].lower()					)

																					key_index += 1
																					if key_index == len(lowerCAmelCase_					):
																												__lowercase					:							str			=   0
														else:
																					translated.append(lowerCAmelCase_					)
							return "".join(lowerCAmelCase_					)


if __name__ == "__main__":
	main()