"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase_     =	logging.get_logger(__name__)

lowerCAmelCase_     =	{
    '''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  _snake_case		(    __snake_case ):







				"""simple docstring"""






				a			=						"camembert"





				def __init__(      self							:							Union[str, Any]      ,    _A							:							Tuple=3_0_5_2_2      ,    _A							:							int=7_6_8      ,    _A							:							Dict=1_2      ,    _A							:							Union[str, Any]=1_2      ,    _A							:							List[str]=3_0_7_2      ,    _A							:							Union[str, Any]="gelu"      ,    _A							:							Any=0.1      ,    _A							:							Tuple=0.1      ,    _A							:							List[Any]=5_1_2      ,    _A							:							Optional[Any]=2      ,    _A							:							Tuple=0.02      ,    _A							:							Optional[Any]=1e-12      ,    _A							:							str=1      ,    _A							:							Union[str, Any]=0      ,    _A							:							Optional[Any]=2      ,    _A							:							Union[str, Any]="absolute"      ,    _A							:							Union[str, Any]=True      ,    _A							:							Dict=None      ,    **_A							:							Tuple      ,    ):



											"""simple docstring"""







											super().__init__(pad_token_id=_A      ,    bos_token_id=_A      ,    eos_token_id=_A      ,    **_A)

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




class  _snake_case		(    __snake_case ):







				"""simple docstring"""






				@property
				def 		_lowerCAmelCase		(      self							:							Union[str, Any]):



											"""simple docstring"""







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



"""simple docstring"""





from typing import Any

import numpy as np



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE  )->    bool:
							return np.array_equal(__SCREAMING_SNAKE_CASE     ,	matrix.conjugate().T  )



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )->    Any:
							_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    v.conjugate().T
							_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    v_star.dot(__SCREAMING_SNAKE_CASE  )
							assert isinstance(__SCREAMING_SNAKE_CASE     ,	np.ndarray  )
							return (v_star_dot.dot(__SCREAMING_SNAKE_CASE  )) / (v_star.dot(__SCREAMING_SNAKE_CASE  ))



def      lowerCamelCase_()->    None:
							_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    np.array([[2, 2 + 1j, 4], [2 - 1j, 3, 1j], [4, -1j, 1]]  )
							_SCREAMING_SNAKE_CASE		:						int			  =    np.array([[1], [2], [3]]  )
							assert is_hermitian(__SCREAMING_SNAKE_CASE  ), F"""{a} is not hermitian."""
							print(rayleigh_quotient(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )  )

							_SCREAMING_SNAKE_CASE		:						int			  =    np.array([[1, 2, 4], [2, 3, -1], [4, -1, 1]]  )
							assert is_hermitian(__SCREAMING_SNAKE_CASE  ), F"""{a} is not hermitian."""
							assert rayleigh_quotient(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  ) == float(3  )


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			tests()


