


'''simple docstring'''
from __future__ import annotations

from collections.abc import Callable

__snake_case											=					list[list[float | int]]


def       a				(      __a			, __a       )  ->     Matrix:



					'''simple docstring'''






					UpperCamelCase__       :int							 =			len(__a       )
					UpperCamelCase__       :Matrix							 =			[[0 for _ in range(size + 1       )] for _ in range(__a       )]
					UpperCamelCase__       :int
					UpperCamelCase__       :int
					UpperCamelCase__       :int
					UpperCamelCase__       :int
					UpperCamelCase__       :int
					UpperCamelCase__       :float

					for row in range(__a       ):
										for col in range(__a       ):
															UpperCamelCase__       :List[str]							 =			matrix[row][col]

										UpperCamelCase__       :Tuple							 =			vector[row][0]

					UpperCamelCase__       :Tuple							 =			0
					UpperCamelCase__       :int							 =			0
					while row < size and col < size:
										# pivoting
										UpperCamelCase__       :int							 =			max((abs(augmented[rowa][col]       ), rowa) for rowa in range(__a			, __a       )       )[
										    1
										]
										if augmented[pivot_row][col] == 0:
															col += 1
															continue
										else:
															UpperCamelCase__ ,    UpperCamelCase__       :Union[str, Any]							 =			augmented[pivot_row], augmented[row]

										for rowa in range(row + 1			, __a       ):
															UpperCamelCase__       :Optional[int]							 =			augmented[rowa][col] / augmented[row][col]
															UpperCamelCase__       :Any							 =			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			, __a       ):
										for row in range(__a       ):
															UpperCamelCase__       :Optional[int]							 =			augmented[row][col] / augmented[col][col]
															for cola in range(__a			, 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]			, 10       )] for row in range(__a       )
					]


def       a				(      __a       )  ->     Callable[[int], int]:



					'''simple docstring'''






					UpperCamelCase__       :int							 =			len(__a       )
					UpperCamelCase__       :Matrix							 =			[[0 for _ in range(__a       )] for _ in range(__a       )]
					UpperCamelCase__       :Matrix							 =			[[0] for _ in range(__a       )]
					UpperCamelCase__       :Matrix
					UpperCamelCase__       :int
					UpperCamelCase__       :int
					UpperCamelCase__       :int

					for x_val, y_val in enumerate(__a       ):
										for col in range(__a       ):
															UpperCamelCase__       :Union[str, Any]							 =			(x_val + 1) ** (size - col - 1)
										UpperCamelCase__       :Optional[int]							 =			y_val

					UpperCamelCase__       :str							 =			solve(__a			, __a       )

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

					return interpolated_func


def       a				(      __a       )  ->     int:



					'''simple docstring'''






					return (
					    1
					    - variable
					    + variable**2
					    - variable**3
					    + variable**4
					    - variable**5
					    + variable**6
					    - variable**7
					    + variable**8
					    - variable**9
					    + variable**10
					)


def       a				(      __a = question_function			, __a = 10       )  ->     int:



					'''simple docstring'''






					UpperCamelCase__       :list[int]							 =			[func(__a       ) for x_val in range(1			, order + 1       )]

					UpperCamelCase__       :list[Callable[[int], int]]							 =			[
					    interpolate(data_points[:max_coeff]       ) for max_coeff in range(1			, order + 1       )
					]

					UpperCamelCase__       :int							 =			0
					UpperCamelCase__       :Callable[[int], int]
					UpperCamelCase__       :int

					for poly in polynomials:
										UpperCamelCase__       :str							 =			1
										while func(__a       ) == poly(__a       ):
															x_val += 1

										ret += poly(__a       )

					return ret


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



'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__snake_case											=					logging.get_logger(__name__)

__snake_case											=					{
    '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/config.json''',
    '''distilbert-base-uncased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/config.json''',
    '''distilbert-base-cased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json''',
    '''distilbert-base-multilingual-cased''': (
        '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'''
    ),
    '''distilbert-base-uncased-finetuned-sst-2-english''': (
        '''https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'''
    ),
}
class        lowercase     (							A__ ):

		"""simple docstring"""

		_a   			=    'distilbert'
		_a   			=    {
		    'hidden_size': 'dim',
		    'num_attention_heads': 'n_heads',
		    'num_hidden_layers': 'n_layers',
		}




		def __init__(		self   ,       UpperCamelCase_=30522   ,       UpperCamelCase_=512   ,       UpperCamelCase_=False   ,       UpperCamelCase_=6   ,       UpperCamelCase_=12   ,       UpperCamelCase_=768   ,       UpperCamelCase_=4 * 768   ,       UpperCamelCase_=0.1   ,       UpperCamelCase_=0.1   ,       UpperCamelCase_="gelu"   ,       UpperCamelCase_=0.02   ,       UpperCamelCase_=0.1   ,       UpperCamelCase_=0.2   ,       UpperCamelCase_=0   ,       **UpperCamelCase_   ,       ):

							'''simple docstring'''


							UpperCamelCase__       :List[Any]							 =			vocab_size
							UpperCamelCase__       :Dict							 =			max_position_embeddings
							UpperCamelCase__       :str							 =			sinusoidal_pos_embds
							UpperCamelCase__       :Any							 =			n_layers
							UpperCamelCase__       :str							 =			n_heads
							UpperCamelCase__       :Tuple							 =			dim
							UpperCamelCase__       :str							 =			hidden_dim
							UpperCamelCase__       :Dict							 =			dropout
							UpperCamelCase__       :int							 =			attention_dropout
							UpperCamelCase__       :Optional[Any]							 =			activation
							UpperCamelCase__       :Optional[int]							 =			initializer_range
							UpperCamelCase__       :Union[str, Any]							 =			qa_dropout
							UpperCamelCase__       :Dict							 =			seq_classif_dropout
							super().__init__(**UpperCamelCase_   ,       pad_token_id=UpperCamelCase_							)



class        lowercase     (							A__ ):

		"""simple docstring"""

		@property
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							if self.task == "multiple-choice":
												UpperCamelCase__       :str							 =			{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
							else:
												UpperCamelCase__       :str							 =			{0: '''batch''', 1: '''sequence'''}
							return OrderedDict(
							    [
							        ('''input_ids''', dynamic_axis),
							        ('''attention_mask''', dynamic_axis),
							    ]							)