

"""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__			:						str							=			logging.get_logger(__name__)

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

a__			:						Optional[Any]							=			{
    """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__			:						Tuple							=			{
    """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__			:						Optional[int]							=			{
    """microsoft/deberta-base""": {"""do_lower_case""": False},
    """microsoft/deberta-large""": {"""do_lower_case""": False},
}


class       _snake_case  (    SCREAMING_SNAKE_CASE_							):
						__snake_case			      =  VOCAB_FILES_NAMES
						__snake_case			      =  PRETRAINED_VOCAB_FILES_MAP
						__snake_case			      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__snake_case			      =  ['input_ids', 'attention_mask', 'token_type_ids']
						__snake_case			      =  DebertaTokenizer







						def __init__(self  ,				UpperCAmelCase_=None  ,				UpperCAmelCase_=None  ,				UpperCAmelCase_=None  ,				UpperCAmelCase_="replace"  ,				UpperCAmelCase_="[CLS]"  ,				UpperCAmelCase_="[SEP]"  ,				UpperCAmelCase_="[SEP]"  ,				UpperCAmelCase_="[CLS]"  ,				UpperCAmelCase_="[UNK]"  ,				UpperCAmelCase_="[PAD]"  ,				UpperCAmelCase_="[MASK]"  ,				UpperCAmelCase_=False  ,				**UpperCAmelCase_  ,				)      ->    Tuple:
											super().__init__(
											    lowercase_  ,				lowercase_  ,				tokenizer_file=lowercase_  ,				errors=lowercase_  ,				bos_token=lowercase_  ,				eos_token=lowercase_  ,				unk_token=lowercase_  ,				sep_token=lowercase_  ,				cls_token=lowercase_  ,				pad_token=lowercase_  ,				mask_token=lowercase_  ,				add_prefix_space=lowercase_  ,				**lowercase_  ,				)
											__lowercase        =      kwargs.pop('''add_bos_token'''  ,				lowercase_				)

											__lowercase        =      json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
											if pre_tok_state.get('''add_prefix_space'''  ,				lowercase_				) != add_prefix_space:
																__lowercase        =      getattr(lowercase_  ,				pre_tok_state.pop('''type'''				)				)
																__lowercase        =      add_prefix_space
																__lowercase        =      pre_tok_class(**lowercase_				)

											__lowercase        =      add_prefix_space







						@property
						def 							_UpperCamelCase     (self				)      ->    str:
											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 							_UpperCamelCase     (self  ,				UpperCAmelCase_				)      ->    Any:
											__lowercase        =      AddedToken(lowercase_  ,				lstrip=lowercase_  ,				rstrip=lowercase_				) if isinstance(lowercase_  ,				lowercase_				) else value
											__lowercase        =      value







						def 							_UpperCamelCase     (self  ,				UpperCAmelCase_  ,				UpperCAmelCase_ = None				)      ->    List[int]:
											if token_ids_a is None:
																return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
											__lowercase        =      [self.cls_token_id]
											__lowercase        =      [self.sep_token_id]
											return cls + token_ids_a + sep + token_ids_a + sep







						def 							_UpperCamelCase     (self  ,				UpperCAmelCase_  ,				UpperCAmelCase_ = None				)      ->    List[int]:
											__lowercase        =      [self.sep_token_id]
											__lowercase        =      [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 							_UpperCamelCase     (self  ,				*UpperCAmelCase_  ,				**UpperCAmelCase_				)      ->    BatchEncoding:
											__lowercase        =      kwargs.get('''is_split_into_words'''  ,				lowercase_				)
											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(*lowercase_  ,				**lowercase_				)







						def 							_UpperCamelCase     (self  ,				*UpperCAmelCase_  ,				**UpperCAmelCase_				)      ->    BatchEncoding:
											__lowercase        =      kwargs.get('''is_split_into_words'''  ,				lowercase_				)

											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(*lowercase_  ,				**lowercase_				)







						def 							_UpperCamelCase     (self  ,				UpperCAmelCase_  ,				UpperCAmelCase_ = None				)      ->    Tuple[str]:
											__lowercase        =      self._tokenizer.model.save(lowercase_  ,				name=lowercase_				)
											return tuple(lowercase_				)







						def 							_UpperCamelCase     (self  ,				UpperCAmelCase_				)      ->    List[int]:
											__lowercase        =      []
											for is_user, text in conversation.iter_texts():
																input_ids.extend(self.encode(lowercase_  ,				add_special_tokens=lowercase_				) + [self.eos_token_id]				)

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







"""simple docstring"""


from itertools import permutations

def 					_lowerCAmelCase (  lowercase_ = 5		):
						if gon_side < 3 or gon_side > 5:
												raise ValueError('gon_side must be in the range [3, 5]'		)

						# Since it's 16, we know 10 is on the outer ring
						# Put the big numbers at the end so that they are never the first number
						UpperCAmelCase			 =					list(range(gon_side + 1						,      0						,      -1		)		)
						UpperCAmelCase			 =					list(range(gon_side + 2						,      gon_side * 2 + 1		)		)

						for perm in permutations(small_numbers + big_numbers		):
												UpperCAmelCase			 =					generate_gon_ring(lowercase_						,      list(lowercase_		)		)
												if is_magic_gon(lowercase_		):
																		return int(''.join(str(lowercase_		) for n in numbers		)		)

						UpperCAmelCase			 =					F"""Magic {gon_side}-gon ring is impossible"""
						raise ValueError(lowercase_		)

def 					_lowerCAmelCase (  lowercase_						,      lowercase_		):
						UpperCAmelCase			 =					[0] * (gon_side * 3)
						UpperCAmelCase			 =					perm[0:3]
						perm.append(perm[1]		)

						UpperCAmelCase			 =					1 if gon_side < 5 else 2

						for i in range(1						,      len(lowercase_		) // 3 + magic_number		):
												UpperCAmelCase			 =					perm[2 * i + 1]
												UpperCAmelCase			 =					result[3 * i - 1]
												UpperCAmelCase			 =					perm[2 * i + 2]

						return result

def 					_lowerCAmelCase (  lowercase_		):
						if len(lowercase_		) % 3 != 0:
												raise ValueError('a gon ring should have a length that is a multiple of 3'		)

						if min(numbers[::3]		) != numbers[0]:
												return False

						UpperCAmelCase			 =					sum(numbers[:3]		)

						return all(sum(numbers[i : i + 3]		) == total for i in range(3						,      len(lowercase_		)						,      3		)		)


if __name__ == "__main__":
				print(solution())





