"""simple docstring"""






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


__lowerCAmelCase    :       List[str]					     =logging.get_logger(__name__)

__lowerCAmelCase    :       int					     ={"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

__lowerCAmelCase    :       List[Any]					     ={
    """vocab_file""": {
        """junnyu/roformer_chinese_small""": """https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt""",
        """junnyu/roformer_chinese_base""": """https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt""",
        """junnyu/roformer_chinese_char_small""": (
            """https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt"""
        ),
        """junnyu/roformer_chinese_char_base""": (
            """https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt"""
        ),
        """junnyu/roformer_small_discriminator""": (
            """https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt"""
        ),
        """junnyu/roformer_small_generator""": (
            """https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt"""
        ),
    }
}

__lowerCAmelCase    :       Optional[int]					     ={
    """junnyu/roformer_chinese_small""": 1_5_3_6,
    """junnyu/roformer_chinese_base""": 1_5_3_6,
    """junnyu/roformer_chinese_char_small""": 5_1_2,
    """junnyu/roformer_chinese_char_base""": 5_1_2,
    """junnyu/roformer_small_discriminator""": 1_2_8,
    """junnyu/roformer_small_generator""": 1_2_8,
}


__lowerCAmelCase    :       List[str]					     ={
    """junnyu/roformer_chinese_small""": {"""do_lower_case""": True},
    """junnyu/roformer_chinese_base""": {"""do_lower_case""": True},
    """junnyu/roformer_chinese_char_small""": {"""do_lower_case""": True},
    """junnyu/roformer_chinese_char_base""": {"""do_lower_case""": True},
    """junnyu/roformer_small_discriminator""": {"""do_lower_case""": True},
    """junnyu/roformer_small_generator""": {"""do_lower_case""": True},
}





class  _A						(       lowerCAmelCase	):
      snake_case__			:   List[Any]							  =	VOCAB_FILES_NAMES
      snake_case__			:   List[str]							  =	PRETRAINED_VOCAB_FILES_MAP
      snake_case__			:   List[str]							  =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__			:   Union[str, Any]							  =	PRETRAINED_INIT_CONFIGURATION
      snake_case__			:   List[Any]							  =	RoFormerTokenizer

      def __init__(						self		,       __lowerCAmelCase=None		,       __lowerCAmelCase=None		,       __lowerCAmelCase=True		,       __lowerCAmelCase="[UNK]"		,       __lowerCAmelCase="[SEP]"		,       __lowerCAmelCase="[PAD]"		,       __lowerCAmelCase="[CLS]"		,       __lowerCAmelCase="[MASK]"		,       __lowerCAmelCase=True		,       __lowerCAmelCase=None		,       **__lowerCAmelCase		,       ):







            """simple docstring"""



            super().__init__(
                __lowerCAmelCase		,       tokenizer_file=__lowerCAmelCase		,       do_lower_case=__lowerCAmelCase		,       unk_token=__lowerCAmelCase		,       sep_token=__lowerCAmelCase		,       pad_token=__lowerCAmelCase		,       cls_token=__lowerCAmelCase		,       mask_token=__lowerCAmelCase		,       tokenize_chinese_chars=__lowerCAmelCase		,       strip_accents=__lowerCAmelCase		,       **__lowerCAmelCase		,       )

            lowercase														=	json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
            if (
                pre_tok_state.get("""lowercase"""		,       __lowerCAmelCase						) != do_lower_case
                or pre_tok_state.get("""strip_accents"""		,       __lowerCAmelCase						) != strip_accents
            ):
                  lowercase														=	getattr(__lowerCAmelCase		,       pre_tok_state.pop("""type"""						)						)
                  lowercase														=	do_lower_case
                  lowercase														=	strip_accents
                  lowercase														=	pre_tok_class(**__lowerCAmelCase						)

            lowercase														=	do_lower_case

      def __getstate__(						self						):







            """simple docstring"""



            lowercase														=	self.__dict__.copy()
            lowercase														=	BertPreTokenizer()
            return state

      def __setstate__(						self		,       __lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	d
            lowercase														=	self.__dict__["""_tokenizer"""].get_vocab()
            lowercase														=	PreTokenizer.custom(JiebaPreTokenizer(__lowerCAmelCase						)						)

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase=None						):







            """simple docstring"""



            lowercase														=	[self.cls_token_id] + token_ids_a + [self.sep_token_id]

            if token_ids_a:
                  output += token_ids_a + [self.sep_token_id]

            return output

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = None						):







            """simple docstring"""



            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 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = None						):







            """simple docstring"""



            lowercase														=	self._tokenizer.model.save(__lowerCAmelCase		,       name=__lowerCAmelCase						)
            return tuple(__lowerCAmelCase						)







      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase=None		,       __lowerCAmelCase=None		,       __lowerCAmelCase=False		,       **__lowerCAmelCase		,       ):







            """simple docstring"""



            lowercase														=	BertPreTokenizer()
            return super().save_pretrained(__lowerCAmelCase		,       __lowerCAmelCase		,       __lowerCAmelCase		,       __lowerCAmelCase		,       **__lowerCAmelCase						)




"""simple docstring"""






from __future__ import annotations

from collections.abc import Callable

__lowerCAmelCase    :       str					     =list[list[float | int]]


def 			UpperCAmelCase__       (				lowerCAmelCase__     :Matrix					,		lowerCAmelCase__     :Matrix		) ->    Matrix:
      '''simple docstring'''


      lowercase														=	len(lowerCAmelCase__		)
      lowercase														=	[[0 for _ in range(size + 1		)] for _ in range(lowerCAmelCase__		)]
      lowercase														=	42
      lowercase														=	42
      lowercase														=	42
      lowercase														=	42
      lowercase														=	42
      lowercase														=	42

      for row in range(lowerCAmelCase__		):
            for col in range(lowerCAmelCase__		):
                  lowercase														=	matrix[row][col]

            lowercase														=	vector[row][0]

      lowercase														=	0
      lowercase														=	0
      while row < size and col < size:
            # pivoting
            lowercase														=	max((abs(augmented[rowa][col]		), rowa) for rowa in range(lowerCAmelCase__					,		lowerCAmelCase__		)		)[
                1
            ]
            if augmented[pivot_row][col] == 0:
                  col += 1
                  continue
            else:
                  lowercase							,							lowercase														=	augmented[pivot_row], augmented[row]

            for rowa in range(row + 1					,		lowerCAmelCase__		):
                  lowercase														=	augmented[rowa][col] / augmented[row][col]
                  lowercase														=	0
                  for cola in range(col + 1					,		size + 1		):
                        augmented[rowa][cola] -= augmented[row][cola] * ratio

            row += 1
            col += 1

      # back substitution
      for col in range(1					,		lowerCAmelCase__		):
            for row in range(lowerCAmelCase__		):
                  lowercase														=	augmented[row][col] / augmented[col][col]
                  for cola in range(lowerCAmelCase__					,		size + 1		):
                        augmented[row][cola] -= augmented[col][cola] * ratio

    # round to get rid of numbers like 2.000000000000004
      return [
          [round(augmented[row][size] / augmented[row][row]					,		1_0		)] for row in range(lowerCAmelCase__		)
      ]


def 			UpperCAmelCase__       (				lowerCAmelCase__     :list[int]		) ->    Callable[[int], int]:
      '''simple docstring'''


      lowercase														=	len(lowerCAmelCase__		)
      lowercase														=	[[0 for _ in range(lowerCAmelCase__		)] for _ in range(lowerCAmelCase__		)]
      lowercase														=	[[0] for _ in range(lowerCAmelCase__		)]
      lowercase														=	42
      lowercase														=	42
      lowercase														=	42
      lowercase														=	42

      for x_val, y_val in enumerate(lowerCAmelCase__		):
            for col in range(lowerCAmelCase__		):
                  lowercase														=	(x_val + 1) ** (size - col - 1)
            lowercase														=	y_val

      lowercase														=	solve(lowerCAmelCase__					,		lowerCAmelCase__		)

      def interpolated_func(lowerCAmelCase__     :int		) -> int:
            return sum(
                round(coeffs[x_val][0]		) * (var ** (size - x_val - 1))
                for x_val in range(lowerCAmelCase__		)		)

      return interpolated_func


def 			UpperCAmelCase__       (				lowerCAmelCase__     :int		) ->    int:
      '''simple docstring'''


      return (
          1
          - variable
          + variable**2
          - variable**3
          + variable**4
          - variable**5
          + variable**6
          - variable**7
          + variable**8
          - variable**9
          + variable**1_0
      )


def 			UpperCAmelCase__       (				lowerCAmelCase__     :Callable[[int], int] = question_function					,		lowerCAmelCase__     :int = 1_0		) ->    int:
      '''simple docstring'''


      lowercase														=	[func(lowerCAmelCase__		) for x_val in range(1					,		order + 1		)]

      lowercase														=	[
          interpolate(data_points[:max_coeff]		) for max_coeff in range(1					,		order + 1		)
      ]

      lowercase														=	0
      lowercase														=	42
      lowercase														=	42

      for poly in polynomials:
            lowercase														=	1
            while func(lowerCAmelCase__		) == poly(lowerCAmelCase__		):
                  x_val += 1

            ret += poly(lowerCAmelCase__		)

      return ret


if __name__ == "__main__":
       print(F"""{solution() = }""")



