

"""simple docstring"""


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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
	from transformers.pipelines.conversational import Conversation

__A		     =    logging.get_logger(__name__)

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

__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},
}






def 					a__					(					)			->			Union[str, Any]:
		__lowerCAmelCase: Any					   =    (
		    list(range(ord("!"				)      ,				ord("~"				) + 1				)				) + list(range(ord("¡"				)      ,				ord("¬"				) + 1				)				) + list(range(ord("®"				)      ,				ord("ÿ"				) + 1				)				)
		)
		__lowerCAmelCase: str					   =    bs[:]
		__lowerCAmelCase: Optional[Any]					   =    0
		for b in range(2**8				):
				if b not in bs:
						bs.append(__SCREAMING_SNAKE_CASE				)
						cs.append(2**8 + n				)
						n += 1
		__lowerCAmelCase: Any					   =    [chr(__SCREAMING_SNAKE_CASE				) for n in cs]
		return dict(zip(__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE				)				)






def 					a__					(					__SCREAMING_SNAKE_CASE				)			->			Optional[Any]:
		__lowerCAmelCase: str					   =    set()
		__lowerCAmelCase: List[str]					   =    word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)				)
				__lowerCAmelCase: int					   =    char
		return pairs





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

				def __init__(			self							:       Union[str, Any]  ,						UpperCamelCase__							:       Union[str, Any]  ,						UpperCamelCase__							:       str  ,						UpperCamelCase__							:       Union[str, Any]="replace"  ,						UpperCamelCase__							:       Any="[CLS]"  ,						UpperCamelCase__							:       Dict="[SEP]"  ,						UpperCamelCase__							:       Tuple="[SEP]"  ,						UpperCamelCase__							:       Dict="[CLS]"  ,						UpperCamelCase__							:       Optional[Any]="[UNK]"  ,						UpperCamelCase__							:       Tuple="[PAD]"  ,						UpperCamelCase__							:       Optional[Any]="[MASK]"  ,						UpperCamelCase__							:       List[Any]=False  ,						UpperCamelCase__							:       int=False  ,						**UpperCamelCase__							:       int  ,						)->     Optional[Any]:



						'''simple docstring'''


						__lowerCAmelCase: str					   =    AddedToken(UpperCamelCase__  ,						lstrip=UpperCamelCase__  ,						rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__  ,						UpperCamelCase__) else bos_token
						__lowerCAmelCase: List[Any]					   =    AddedToken(UpperCamelCase__  ,						lstrip=UpperCamelCase__  ,						rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__  ,						UpperCamelCase__) else eos_token
						__lowerCAmelCase: List[str]					   =    AddedToken(UpperCamelCase__  ,						lstrip=UpperCamelCase__  ,						rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__  ,						UpperCamelCase__) else sep_token
						__lowerCAmelCase: int					   =    AddedToken(UpperCamelCase__  ,						lstrip=UpperCamelCase__  ,						rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__  ,						UpperCamelCase__) else cls_token
						__lowerCAmelCase: List[str]					   =    AddedToken(UpperCamelCase__  ,						lstrip=UpperCamelCase__  ,						rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__  ,						UpperCamelCase__) else unk_token
						__lowerCAmelCase: Dict					   =    AddedToken(UpperCamelCase__  ,						lstrip=UpperCamelCase__  ,						rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__  ,						UpperCamelCase__) else pad_token

						# Mask token behave like a normal word, i.e. include the space before it
						__lowerCAmelCase: List[Any]					   =    AddedToken(UpperCamelCase__  ,						lstrip=UpperCamelCase__  ,						rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__  ,						UpperCamelCase__) else mask_token

						super().__init__(
						    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__  ,						add_bos_token=UpperCamelCase__  ,						**UpperCamelCase__  ,						)
						__lowerCAmelCase: Tuple					   =    add_bos_token

						with open(UpperCamelCase__  ,						encoding="utf-8") as vocab_handle:
								__lowerCAmelCase: str					   =    json.load(UpperCamelCase__)
						__lowerCAmelCase: Tuple					   =    {v: k for k, v in self.encoder.items()}
						__lowerCAmelCase: int					   =    errors  # how to handle errors in decoding
						__lowerCAmelCase: List[Any]					   =    bytes_to_unicode()
						__lowerCAmelCase: Dict					   =    {v: k for k, v in self.byte_encoder.items()}
						with open(UpperCamelCase__  ,						encoding="utf-8") as merges_handle:
								__lowerCAmelCase: int					   =    merges_handle.read().split("\n")[1:-1]
						__lowerCAmelCase: Tuple					   =    [tuple(merge.split()) for merge in bpe_merges]
						__lowerCAmelCase: str					   =    dict(zip(UpperCamelCase__  ,						range(len(UpperCamelCase__))))
						__lowerCAmelCase: Optional[Any]					   =    {}
						__lowerCAmelCase: Tuple					   =    add_prefix_space

						# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
						__lowerCAmelCase: List[Any]					   =    re.compile(R"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+")

				@property
				# Copied from transformers.models.gpt2.tokenization_gpt2.GPT2Tokenizer.vocab_size
				def 							lowercase_  (			self							:       Optional[Any])->     int:



						'''simple docstring'''


						return len(self.encoder)

				def 							lowercase_  (			self							:       Optional[Any])->     Dict:



						'''simple docstring'''


						return dict(self.encoder  ,						**self.added_tokens_encoder)

				def 							lowercase_  (			self							:       int  ,						UpperCamelCase__							:       Dict)->     Dict:



						'''simple docstring'''


						if token in self.cache:
								return self.cache[token]
						__lowerCAmelCase: Optional[Any]					   =    tuple(UpperCamelCase__)
						__lowerCAmelCase: str					   =    get_pairs(UpperCamelCase__)

						if not pairs:
								return token

						while True:
								__lowerCAmelCase: Union[str, Any]					   =    min(UpperCamelCase__  ,						key=lambda UpperCamelCase__: self.bpe_ranks.get(UpperCamelCase__  ,						float("inf")))
								if bigram not in self.bpe_ranks:
										break
								__lowerCAmelCase: Union[str, Any]					   =    bigram
								__lowerCAmelCase: Optional[Any]					   =    []
								__lowerCAmelCase: List[Any]					   =    0
								while i < len(UpperCamelCase__):
										try:
												__lowerCAmelCase: List[Any]					   =    word.index(UpperCamelCase__  ,						UpperCamelCase__)
										except ValueError:
												new_word.extend(word[i:])
												break
										else:
												new_word.extend(word[i:j])
												__lowerCAmelCase: Tuple					   =    j

										if word[i] == first and i < len(UpperCamelCase__) - 1 and word[i + 1] == second:
												new_word.append(first + second)
												i += 2
										else:
												new_word.append(word[i])
												i += 1
								__lowerCAmelCase: Tuple					   =    tuple(UpperCamelCase__)
								__lowerCAmelCase: Union[str, Any]					   =    new_word
								if len(UpperCamelCase__) == 1:
										break
								else:
										__lowerCAmelCase: Optional[Any]					   =    get_pairs(UpperCamelCase__)
						__lowerCAmelCase: int					   =    " ".join(UpperCamelCase__)
						__lowerCAmelCase: Any					   =    word
						return word

				def 							lowercase_  (			self							:       str  ,						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: Dict					   =    [self.cls_token_id]
						__lowerCAmelCase: List[str]					   =    [self.sep_token_id]
						return cls + token_ids_a + sep + token_ids_a + sep

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



						'''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__)

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

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



						'''simple docstring'''


						__lowerCAmelCase: Union[str, Any]					   =    [self.sep_token_id]
						__lowerCAmelCase: 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							:       Union[str, Any]  ,						UpperCamelCase__							:       Dict)->     List[Any]:



						'''simple docstring'''


						__lowerCAmelCase: Union[str, Any]					   =    []
						for token in re.findall(self.pat  ,						UpperCamelCase__):
								__lowerCAmelCase: Dict					   =    "".join(
								    self.byte_encoder[b] for b in token.encode("utf-8"))  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
								bpe_tokens.extend(bpe_token for bpe_token in self.bpe(UpperCamelCase__).split(" "))
						return bpe_tokens

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



						'''simple docstring'''


						return self.encoder.get(UpperCamelCase__  ,						self.encoder.get(self.unk_token))

				def 							lowercase_  (			self							:       Dict  ,						UpperCamelCase__							:       Optional[int])->     Optional[Any]:



						'''simple docstring'''


						return self.decoder.get(UpperCamelCase__)

				def 							lowercase_  (			self							:       Dict  ,						UpperCamelCase__							:       Tuple)->     Tuple:



						'''simple docstring'''


						__lowerCAmelCase: Union[str, Any]					   =    "".join(UpperCamelCase__)
						__lowerCAmelCase: List[Any]					   =    bytearray([self.byte_decoder[c] for c in text]).decode("utf-8"  ,						errors=self.errors)
						return text

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



						'''simple docstring'''


						if not os.path.isdir(UpperCamelCase__):
								logger.error(f"Vocabulary path ({save_directory}) should be a directory")
								return
						__lowerCAmelCase: Optional[Any]					   =    os.path.join(
						    UpperCamelCase__  ,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
						__lowerCAmelCase: List[Any]					   =    os.path.join(
						    UpperCamelCase__  ,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"])

						with open(UpperCamelCase__  ,						"w"  ,						encoding="utf-8") as f:
								f.write(json.dumps(self.encoder  ,						indent=2  ,						sort_keys=UpperCamelCase__  ,						ensure_ascii=UpperCamelCase__) + "\n")

						__lowerCAmelCase: Optional[Any]					   =    0
						with open(UpperCamelCase__  ,						"w"  ,						encoding="utf-8") as writer:
								writer.write("#version: 0.2\n")
								for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,						key=lambda UpperCamelCase__: kv[1]):
										if index != token_index:
												logger.warning(
												    f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
												    " Please check that the tokenizer is not corrupted!")
												__lowerCAmelCase: int					   =    token_index
										writer.write(" ".join(UpperCamelCase__) + "\n")
										index += 1

						return vocab_file, merge_file

				def 							lowercase_  (			self							:       Dict  ,						UpperCamelCase__							:       List[str]  ,						UpperCamelCase__							:       Optional[Any]=False  ,						**UpperCamelCase__							:       List[Any])->     Optional[int]:



						'''simple docstring'''


						__lowerCAmelCase: List[str]					   =    kwargs.pop("add_prefix_space"  ,						self.add_prefix_space)
						if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase__) > 0 and not text[0].isspace()):
								__lowerCAmelCase: Any					   =    " " + text
						return (text, kwargs)




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



						'''simple docstring'''


						__lowerCAmelCase: Tuple					   =    []
						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: Union[str, Any]					   =    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}''')


