

"""simple docstring"""


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

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_deberta import DebertaTokenizer


if TYPE_CHECKING:
			from transformers.pipelines.conversational import Conversation


__A		     =    logging.get_logger(__name__)

__A		     =    {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

__A		     =    {
    "vocab_file": {
        "microsoft/deberta-base": "https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json",
        "microsoft/deberta-large": "https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json",
        "microsoft/deberta-xlarge": "https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json",
        "microsoft/deberta-base-mnli": "https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json",
        "microsoft/deberta-large-mnli": "https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json",
        "microsoft/deberta-xlarge-mnli": (
            "https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "microsoft/deberta-base": "https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt",
        "microsoft/deberta-large": "https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt",
        "microsoft/deberta-xlarge": "https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt",
        "microsoft/deberta-base-mnli": "https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt",
        "microsoft/deberta-large-mnli": "https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt",
        "microsoft/deberta-xlarge-mnli": (
            "https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt"
        ),
    },
}

__A		     =    {
    "microsoft/deberta-base": 512,
    "microsoft/deberta-large": 512,
    "microsoft/deberta-xlarge": 512,
    "microsoft/deberta-base-mnli": 512,
    "microsoft/deberta-large-mnli": 512,
    "microsoft/deberta-xlarge-mnli": 512,
}

__A		     =    {
    "microsoft/deberta-base": {"do_lower_case": False},
    "microsoft/deberta-large": {"do_lower_case": False},
}





class 					snake_case			(       __snake_case						):
				SCREAMING_SNAKE_CASE_     :   Dict        =						VOCAB_FILES_NAMES
				SCREAMING_SNAKE_CASE_     :   Union[str, Any]        =						PRETRAINED_VOCAB_FILES_MAP
				SCREAMING_SNAKE_CASE_     :   Optional[Any]        =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				SCREAMING_SNAKE_CASE_     :   Tuple        =						["""input_ids""", """attention_mask""", """token_type_ids"""]
				SCREAMING_SNAKE_CASE_     :   List[Any]        =						DebertaTokenizer

				def __init__(			self							:       Any  ,						UpperCamelCase__							:       Tuple=None  ,						UpperCamelCase__							:       Dict=None  ,						UpperCamelCase__							:       Optional[int]=None  ,						UpperCamelCase__							:       int="replace"  ,						UpperCamelCase__							:       Optional[Any]="[CLS]"  ,						UpperCamelCase__							:       Any="[SEP]"  ,						UpperCamelCase__							:       Optional[Any]="[SEP]"  ,						UpperCamelCase__							:       Union[str, Any]="[CLS]"  ,						UpperCamelCase__							:       List[str]="[UNK]"  ,						UpperCamelCase__							:       str="[PAD]"  ,						UpperCamelCase__							:       Optional[Any]="[MASK]"  ,						UpperCamelCase__							:       List[str]=False  ,						**UpperCamelCase__							:       Tuple  ,						)->     List[Any]:



						'''simple docstring'''


						super().__init__(
						    UpperCamelCase__  ,						UpperCamelCase__  ,						tokenizer_file=UpperCamelCase__  ,						errors=UpperCamelCase__  ,						bos_token=UpperCamelCase__  ,						eos_token=UpperCamelCase__  ,						unk_token=UpperCamelCase__  ,						sep_token=UpperCamelCase__  ,						cls_token=UpperCamelCase__  ,						pad_token=UpperCamelCase__  ,						mask_token=UpperCamelCase__  ,						add_prefix_space=UpperCamelCase__  ,						**UpperCamelCase__  ,						)
						__lowerCAmelCase: str					   =    kwargs.pop("add_bos_token"  ,						UpperCamelCase__)

						__lowerCAmelCase: str					   =    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
						if pre_tok_state.get("add_prefix_space"  ,						UpperCamelCase__) != add_prefix_space:
								__lowerCAmelCase: Dict					   =    getattr(UpperCamelCase__  ,						pre_tok_state.pop("type"))
								__lowerCAmelCase: Optional[Any]					   =    add_prefix_space
								__lowerCAmelCase: Tuple					   =    pre_tok_class(**UpperCamelCase__)

						__lowerCAmelCase: str					   =    add_prefix_space

				@property
				def 							lowercase_  (			self							:       int)->     str:



						'''simple docstring'''


						if self._mask_token is None:
								if self.verbose:
										logger.error("Using mask_token, but it is not set yet.")
								return None
						return str(self._mask_token)

				@mask_token.setter
				def 							lowercase_  (			self							:       Optional[Any]  ,						UpperCamelCase__							:       Any)->     Dict:



						'''simple docstring'''


						__lowerCAmelCase: int					   =    AddedToken(UpperCamelCase__  ,						lstrip=UpperCamelCase__  ,						rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__  ,						UpperCamelCase__) else value
						__lowerCAmelCase: int					   =    value

				def 							lowercase_  (			self							:       Union[str, Any]  ,						UpperCamelCase__							:       List[int]  ,						UpperCamelCase__							:       Optional[List[int]] = None)->     List[int]:



						'''simple docstring'''


						if token_ids_a is None:
								return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
						__lowerCAmelCase: Tuple					   =    [self.cls_token_id]
						__lowerCAmelCase: Optional[int]					   =    [self.sep_token_id]
						return cls + token_ids_a + sep + token_ids_a + sep

				def 							lowercase_  (			self							:       int  ,						UpperCamelCase__							:       List[int]  ,						UpperCamelCase__							:       Optional[List[int]] = None)->     List[int]:



						'''simple docstring'''


						__lowerCAmelCase: List[str]					   =    [self.sep_token_id]
						__lowerCAmelCase: List[Any]					   =    [self.cls_token_id]

						if token_ids_a is None:
								return len(cls + token_ids_a + sep) * [0]
						return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]

				def 							lowercase_  (			self							:       int  ,						*UpperCamelCase__							:       Any  ,						**UpperCamelCase__							:       Any)->     BatchEncoding:



						'''simple docstring'''


						__lowerCAmelCase: Tuple					   =    kwargs.get("is_split_into_words"  ,						UpperCamelCase__)
						assert self.add_prefix_space or not is_split_into_words, (
						    f"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
						    "to use it with pretokenized inputs."
						)

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

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



						'''simple docstring'''


						__lowerCAmelCase: Optional[Any]					   =    kwargs.get("is_split_into_words"  ,						UpperCamelCase__)

						assert self.add_prefix_space or not is_split_into_words, (
						    f"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
						    "to use it with pretokenized inputs."
						)

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

				def 							lowercase_  (			self							:       Optional[int]  ,						UpperCamelCase__							:       str  ,						UpperCamelCase__							:       Optional[str] = None)->     Tuple[str]:



						'''simple docstring'''


						__lowerCAmelCase: str					   =    self._tokenizer.model.save(UpperCamelCase__  ,						name=UpperCamelCase__)
						return tuple(UpperCamelCase__)




				def 							lowercase_  (			self							:       Any  ,						UpperCamelCase__							:       "Conversation")->     List[int]:



						'''simple docstring'''


						__lowerCAmelCase: str					   =    []
						for is_user, text in conversation.iter_texts():
								input_ids.extend(self.encode(UpperCamelCase__  ,						add_special_tokens=UpperCamelCase__) + [self.eos_token_id])

						if len(UpperCamelCase__) > self.model_max_length:
								__lowerCAmelCase: Optional[int]					   =    input_ids[-self.model_max_length :]
						return input_ids





"""simple docstring"""


from __future__ import annotations






def 					a__					(					__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE				)			->			str:
		__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase: Any					   =    "", "", ""
		__lowerCAmelCase: Any					   =    []

		for character in message_part:
				tmp.append(character_to_number[character]				)

		for each in tmp:
				one += each[0]
				two += each[1]
				three += each[2]

		return one + two + three






def 					a__					(					__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE				)			->			tuple[str, str, str]:
		__lowerCAmelCase   ,				__lowerCAmelCase: Union[str, Any]					   =    "", ""
		__lowerCAmelCase: int					   =    []

		for character in message_part:
				this_part += character_to_number[character]

		for digit in this_part:
				tmp += digit
				if len(__SCREAMING_SNAKE_CASE				) == len(__SCREAMING_SNAKE_CASE				):
						result.append(__SCREAMING_SNAKE_CASE				)
						__lowerCAmelCase: Union[str, Any]					   =    ""

		return result[0], result[1], result[2]






def 					a__					(					__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE				)			->			tuple[str, str, dict[str, str], dict[str, str]]:
		# Validate message and alphabet, set to upper and remove spaces
		__lowerCAmelCase: int					   =    alphabet.replace(" "      ,				""				).upper()
		__lowerCAmelCase: int					   =    message.replace(" "      ,				""				).upper()

		# Check length and characters
		if len(__SCREAMING_SNAKE_CASE				) != 2_7:
				raise KeyError("Length of alphabet has to be 27."				)
		for each in message:
				if each not in alphabet:
						raise ValueError("Each message character has to be included in alphabet!"				)

    # Generate dictionares
		__lowerCAmelCase: Optional[int]					   =    (
		    "111",
		    "112",
		    "113",
		    "121",
		    "122",
		    "123",
		    "131",
		    "132",
		    "133",
		    "211",
		    "212",
		    "213",
		    "221",
		    "222",
		    "223",
		    "231",
		    "232",
		    "233",
		    "311",
		    "312",
		    "313",
		    "321",
		    "322",
		    "323",
		    "331",
		    "332",
		    "333",
		)
		__lowerCAmelCase: Tuple					   =    {}
		__lowerCAmelCase: Optional[int]					   =    {}
		for letter, number in zip(__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE				):
				__lowerCAmelCase: List[Any]					   =    number
				__lowerCAmelCase: Any					   =    letter

		return message, alphabet, character_to_number, number_to_character






def 					a__					(					__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."      ,				__SCREAMING_SNAKE_CASE = 5				)			->			str:
		__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase: Optional[int]					   =    __prepare(
		    __SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE				)
		__lowerCAmelCase   ,				__lowerCAmelCase: str					   =    "", ""

		for i in range(0      ,				len(__SCREAMING_SNAKE_CASE				) + 1      ,				__SCREAMING_SNAKE_CASE				):
				encrypted_numeric += __encrypt_part(
				    message[i : i + period]      ,				__SCREAMING_SNAKE_CASE				)

		for i in range(0      ,				len(__SCREAMING_SNAKE_CASE				)      ,				3				):
				encrypted += number_to_character[encrypted_numeric[i : i + 3]]

		return encrypted






def 					a__					(					__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."      ,				__SCREAMING_SNAKE_CASE = 5				)			->			str:
		__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase: Dict					   =    __prepare(
		    __SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE				)
		__lowerCAmelCase: List[str]					   =    []
		__lowerCAmelCase: Optional[int]					   =    ""

		for i in range(0      ,				len(__SCREAMING_SNAKE_CASE				) + 1      ,				__SCREAMING_SNAKE_CASE				):
				__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase: List[Any]					   =    __decrypt_part(message[i : i + period]      ,				__SCREAMING_SNAKE_CASE				)

				for j in range(0      ,				len(__SCREAMING_SNAKE_CASE				)				):
						decrypted_numeric.append(a[j] + b[j] + c[j]				)

		for each in decrypted_numeric:
				decrypted += number_to_character[each]

		return decrypted


if __name__ == "__main__":
			__A		     =    "DEFEND THE EAST WALL OF THE CASTLE."
			__A		     =    encrypt_message(msg, "EPSDUCVWYM.ZLKXNBTFGORIJHAQ")
			__A		     =    decrypt_message(encrypted, "EPSDUCVWYM.ZLKXNBTFGORIJHAQ")
			print(F'''Encrypted: {encrypted}\nDecrypted: {decrypted}''')


