



from collections import OrderedDict
from typing import Mapping

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


__SCREAMING_SNAKE_CASE           =  logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE           =  {
    """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json""",
    """google/bigbird-roberta-large""": """https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json""",
    """google/bigbird-base-trivia-itc""": """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json""",
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}

class 	lowerCamelCase_    ( __lowerCamelCase						):






      '''simple docstring'''
      a__   =  'big_bird'







      def __init__(	self      :			Tuple	,	__lowerCamelCase      :			str=5_03_58	,	__lowerCamelCase      :			List[Any]=7_68	,	__lowerCamelCase      :			Optional[int]=12	,	__lowerCamelCase      :			Union[str, Any]=12	,	__lowerCamelCase      :			Optional[Any]=30_72	,	__lowerCamelCase      :			Union[str, Any]="gelu_new"	,	__lowerCamelCase      :			str=0.1	,	__lowerCamelCase      :			Dict=0.1	,	__lowerCamelCase      :			str=40_96	,	__lowerCamelCase      :			Dict=2	,	__lowerCamelCase      :			Tuple=0.02	,	__lowerCamelCase      :			Any=1e-12	,	__lowerCamelCase      :			Tuple=True	,	__lowerCamelCase      :			str=0	,	__lowerCamelCase      :			str=1	,	__lowerCamelCase      :			Optional[int]=2	,	__lowerCamelCase      :			Tuple=66	,	__lowerCamelCase      :			Union[str, Any]="block_sparse"	,	__lowerCamelCase      :			Any=True	,	__lowerCamelCase      :			Any=False	,	__lowerCamelCase      :			Any=64	,	__lowerCamelCase      :			Tuple=3	,	__lowerCamelCase      :			Optional[Any]=None	,	**__lowerCamelCase      :			Tuple	,	)      ->				Tuple:
         super().__init__(
             pad_token_id=UpperCamelCase_	,	bos_token_id=UpperCamelCase_	,	eos_token_id=UpperCamelCase_	,	sep_token_id=UpperCamelCase_	,	**UpperCamelCase_	,	)

         A							:					Optional[int]              =						vocab_size
         A							:					Any              =						max_position_embeddings
         A							:					Optional[int]              =						hidden_size
         A							:					List[Any]              =						num_hidden_layers
         A							:					Optional[Any]              =						num_attention_heads
         A							:					Union[str, Any]              =						intermediate_size
         A							:					Any              =						hidden_act
         A							:					Optional[Any]              =						hidden_dropout_prob
         A							:					str              =						attention_probs_dropout_prob
         A							:					Union[str, Any]              =						initializer_range
         A							:					List[str]              =						type_vocab_size
         A							:					Tuple              =						layer_norm_eps
         A							:					Optional[int]              =						use_cache

         A							:					List[Any]              =						rescale_embeddings
         A							:					Any              =						attention_type
         A							:					Tuple              =						use_bias
         A							:					Union[str, Any]              =						block_size
         A							:					Tuple              =						num_random_blocks
         A							:					Union[str, Any]              =						classifier_dropout







class 	lowerCamelCase_    ( __lowerCamelCase						):






      '''simple docstring'''







      @property
      def 			SCREAMING_SNAKE_CASE__		(	self      :			List[Any] )      ->				Optional[Any]:
         if self.task == "multiple-choice":
            A							:					Any              =						{0: "batch", 1: "choice", 2: "sequence"}
         else:
            A							:					Optional[Any]              =						{0: "batch", 1: "sequence"}
         return OrderedDict(
             [
                 ("input_ids", dynamic_axis),
                 ("attention_mask", dynamic_axis),
             ] )




from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403




def 	UpperCAmelCase   (						_lowerCamelCase ,    _lowerCamelCase ,    _lowerCamelCase = "x" ,    _lowerCamelCase = 10**-10 ,    _lowerCamelCase = 1 ,    ):
			A							:					str              =						symbols(_lowerCamelCase    )
			A							:					int              =						lambdify(_lowerCamelCase ,    _lowerCamelCase    )
			A							:					List[str]              =						lambdify(_lowerCamelCase ,    diff(_lowerCamelCase ,    _lowerCamelCase    )    )

			A							:					Optional[int]              =						starting_point

			while True:
						if diff_function(_lowerCamelCase    ) != 0:
									A							:					Optional[Any]              =						prev_guess - multiplicity * func(_lowerCamelCase    ) / diff_function(
									    _lowerCamelCase    )
						else:
									raise ZeroDivisionError("Could not find root"    ) from None

						# Precision is checked by comparing the difference of consecutive guesses
						if abs(next_guess - prev_guess    ) < precision:
									return next_guess

						A							:					int              =						next_guess


# Let's Execute
if __name__ == "__main__":
							# Find root of trigonometric function
							# Find value of pi
							print(F"""The root of sin(x) = 0 is {newton_raphson('sin(x)', 2)}""")

							# Find root of polynomial
							# Find fourth Root of 5
							print(F"""The root of x**4 - 5 = 0 is {newton_raphson('x**4 -5', 0.4 +5j)}""")

							# Find value of e
							print(
							    """The root of log(y) - 1 = 0 is """,
							    F"""{newton_raphson('log(y) - 1', 2, variable='y')}""",
							)

							# Exponential Roots
							print(
							    """The root of exp(x) - 1 = 0 is""",
							    F"""{newton_raphson('exp(x) - 1', 10, precision=0.005)}""",
							)

							# Find root of cos(x)
							print(F"""The root of cos(x) = 0 is {newton_raphson('cos(x)', 0)}""")