




from math import factorial







class     lowercase		:




							def __init__(    self       ,A__       ,A__):
												lowercase						     =						real
												if isinstance(A__       ,A__):
																	lowercase						     =						[1] * rank
												else:
																	lowercase						     =						rank




							def __repr__(    self):
												return (
												    f'{self.real}+'
												    f'{"+".join(str(A__)+"E"+str(n+1)for n,dual in enumerate(self.duals))}'
												)




							def 			A__				(    self):
												lowercase						     =						self.duals.copy()
												while cur[-1] == 0:
																	cur.pop(-1)
												return Dual(self.real       ,A__)




							def __add__(    self       ,A__):
												if not isinstance(A__       ,A__):
																	return Dual(self.real + other       ,self.duals)
												lowercase						     =						self.duals.copy()
												lowercase						     =						other.duals.copy()
												if len(A__) > len(A__):
																	o_dual.extend([1] * (len(A__) - len(A__)))
												elif len(A__) < len(A__):
																	s_dual.extend([1] * (len(A__) - len(A__)))
												lowercase						     =						[]
												for i in range(len(A__)):
																	new_duals.append(s_dual[i] + o_dual[i])
												return Dual(self.real + other.real       ,A__)

							lowercase_	:	List[Any]	 =__add__




							def __sub__(    self       ,A__):
												return self + other * -1




							def __mul__(    self       ,A__):
												if not isinstance(A__       ,A__):
																	lowercase						     =						[]
																	for i in self.duals:
																						new_duals.append(i * other)
																	return Dual(self.real * other       ,A__)
												lowercase						     =						[0] * (len(self.duals) + len(other.duals) + 1)
												for i, item in enumerate(self.duals):
																	for j, jtem in enumerate(other.duals):
																						new_duals[i + j + 1] += item * jtem
												for k in range(len(self.duals)):
																	new_duals[k] += self.duals[k] * other.real
												for index in range(len(other.duals)):
																	new_duals[index] += other.duals[index] * self.real
												return Dual(self.real * other.real       ,A__)

							lowercase_	:	Any	 =__mul__




							def __truediv__(    self       ,A__):
												if not isinstance(A__       ,A__):
																	lowercase						     =						[]
																	for i in self.duals:
																						new_duals.append(i / other)
																	return Dual(self.real / other       ,A__)
												raise ValueError




							def __floordiv__(    self       ,A__):
												if not isinstance(A__       ,A__):
																	lowercase						     =						[]
																	for i in self.duals:
																						new_duals.append(i // other)
																	return Dual(self.real // other       ,A__)
												raise ValueError





							def __pow__(    self       ,A__):
												if n < 0 or isinstance(A__       ,A__):
																	raise ValueError('''power must be a positive integer''')
												if n == 0:
																	return 1
												if n == 1:
																	return self
												lowercase						     =						self
												for _ in range(n - 1):
																	x *= self
												return x



def 	UpperCamelCase   (							lowerCAmelCase__			,      lowerCAmelCase__			,      lowerCAmelCase__		):
					'''simple docstring'''
					if not callable(lowerCAmelCase__		):
										raise ValueError('''differentiate() requires a function as input for func'''		)
					if not isinstance(lowerCAmelCase__			,      (float, int)		):
										raise ValueError('''differentiate() requires a float as input for position'''		)
					if not isinstance(lowerCAmelCase__			,      lowerCAmelCase__		):
										raise ValueError('''differentiate() requires an int as input for order'''		)
					lowercase						     =						Dual(lowerCAmelCase__			,      1		)
					lowercase						     =						func(lowerCAmelCase__		)
					if order == 0:
										return result.real
					return result.duals[order - 1] * factorial(lowerCAmelCase__		)


if __name__ == "__main__":
							import doctest

							doctest.testmod()



							def 	UpperCamelCase   (							lowerCAmelCase__		):
												'''simple docstring'''
												return y**2 * y**4
							print(differentiate(f, 9, 2))






from collections import OrderedDict
from typing import Mapping

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


lowercase__		:Optional[int]			  =   logging.get_logger(__name__)

lowercase__		:List[Any]			  =   {
    "camembert-base": "https://huggingface.co/camembert-base/resolve/main/config.json",
    "umberto-commoncrawl-cased-v1": (
        "https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"
    ),
    "umberto-wikipedia-uncased-v1": (
        "https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"
    ),
}







class     lowercase		( SCREAMING_SNAKE_CASE__		):
							lowercase_	:	List[Any]	 ='''camembert'''




							def __init__(    self       ,A__=3_0_5_2_2       ,A__=7_6_8       ,A__=1_2       ,A__=1_2       ,A__=3_0_7_2       ,A__="gelu"       ,A__=0.1       ,A__=0.1       ,A__=5_1_2       ,A__=2       ,A__=0.02       ,A__=1E-12       ,A__=1       ,A__=0       ,A__=2       ,A__="absolute"       ,A__=True       ,A__=None       ,**A__       ,):
												super().__init__(pad_token_id=A__       ,bos_token_id=A__       ,eos_token_id=A__       ,**A__)

												lowercase						     =						vocab_size
												lowercase						     =						hidden_size
												lowercase						     =						num_hidden_layers
												lowercase						     =						num_attention_heads
												lowercase						     =						hidden_act
												lowercase						     =						intermediate_size
												lowercase						     =						hidden_dropout_prob
												lowercase						     =						attention_probs_dropout_prob
												lowercase						     =						max_position_embeddings
												lowercase						     =						type_vocab_size
												lowercase						     =						initializer_range
												lowercase						     =						layer_norm_eps
												lowercase						     =						position_embedding_type
												lowercase						     =						use_cache
												lowercase						     =						classifier_dropout







class     lowercase		( SCREAMING_SNAKE_CASE__		):




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




