"""simple docstring"""


import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase_:					Any     =					logging.get_logger(__name__)

lowerCAmelCase_:					Dict     =					{
    "microsoft/git-base": "https://huggingface.co/microsoft/git-base/resolve/main/config.json",
}






class    a__    (   __lowerCamelCase	):
			snake_case_							=      '''git_vision_model'''


			def __init__(     self,				_UpperCAmelCase=768,				_UpperCAmelCase=3072,				_UpperCAmelCase=12,				_UpperCAmelCase=12,				_UpperCAmelCase=3,				_UpperCAmelCase=224,				_UpperCAmelCase=16,				_UpperCAmelCase="quick_gelu",				_UpperCAmelCase=1E-5,				_UpperCAmelCase=0.0,				_UpperCAmelCase=0.02,				**_UpperCAmelCase,				):
								'''simple docstring'''



								super().__init__(**a_  )

								lowercase__				 =							hidden_size
								lowercase__				 =							intermediate_size
								lowercase__				 =							num_hidden_layers
								lowercase__				 =							num_attention_heads
								lowercase__				 =							num_channels
								lowercase__				 =							patch_size
								lowercase__				 =							image_size
								lowercase__				 =							initializer_range
								lowercase__				 =							attention_dropout
								lowercase__				 =							layer_norm_eps
								lowercase__				 =							hidden_act


			@classmethod
			def 	snake_case__	(     cls,				_UpperCAmelCase,				**_UpperCAmelCase  ):
								'''simple docstring'''



								cls._set_token_in_kwargs(a_  )

								lowercase__				 =							cls.get_config_dict(a_,				**a_  )

								# get the vision config dict if we are loading from GITConfig
								if config_dict.get("model_type"  ) == "git":
													lowercase__				 =							config_dict["vision_config"]

								if "model_type" in config_dict and hasattr(cls,				"model_type"  ) and config_dict["model_type"] != cls.model_type:
													logger.warning(
													    F'''You are using a model of type {config_dict['model_type']} to instantiate a model of type '''
													    F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.'''  )

								return cls.from_dict(a_,				**a_  )






class    a__    (   __lowerCamelCase	):
			snake_case_							=      '''git'''


			def __init__(     self,				_UpperCAmelCase=None,				_UpperCAmelCase=3_0522,				_UpperCAmelCase=768,				_UpperCAmelCase=6,				_UpperCAmelCase=12,				_UpperCAmelCase=3072,				_UpperCAmelCase="gelu",				_UpperCAmelCase=0.1,				_UpperCAmelCase=0.1,				_UpperCAmelCase=1024,				_UpperCAmelCase=0.02,				_UpperCAmelCase=1E-12,				_UpperCAmelCase=0,				_UpperCAmelCase="absolute",				_UpperCAmelCase=True,				_UpperCAmelCase=False,				_UpperCAmelCase=101,				_UpperCAmelCase=102,				_UpperCAmelCase=None,				**_UpperCAmelCase,				):
								'''simple docstring'''



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

								if vision_config is None:
													lowercase__				 =							{}
													logger.info("vision_config is None. initializing the GitVisionConfig with default values."  )

								lowercase__				 =							GitVisionConfig(**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__				 =							initializer_range
								lowercase__				 =							layer_norm_eps
								lowercase__				 =							position_embedding_type
								lowercase__				 =							use_cache
								lowercase__				 =							tie_word_embeddings
								lowercase__				 =							num_image_with_embedding

								lowercase__				 =							bos_token_id
								lowercase__				 =							eos_token_id


			def 	snake_case__	(     self  ):
								'''simple docstring'''



								lowercase__				 =							copy.deepcopy(self.__dict__  )
								lowercase__				 =							self.vision_config.to_dict()
								lowercase__				 =							self.__class__.model_type
								return output





"""simple docstring"""


from typing import Any

import numpy as np







def 					__a   (		A      ):






     '''simple docstring'''



     return np.array_equal(A    ,				matrix.conjugate().T      )







def 					__a   (		A    ,				A      ):






     '''simple docstring'''



     lowercase__				 =							v.conjugate().T
     lowercase__				 =							v_star.dot(A      )
     assert isinstance(A    ,				np.ndarray      )
     return (v_star_dot.dot(A      )) / (v_star.dot(A      ))







def 					__a   (		):






     '''simple docstring'''



     lowercase__				 =							np.array([[2, 2 + 1j, 4], [2 - 1j, 3, 1j], [4, -1j, 1]]      )
     lowercase__				 =							np.array([[1], [2], [3]]      )
     assert is_hermitian(A      ), f'''{a} is not hermitian.'''
     print(rayleigh_quotient(A    ,				A      )      )

     lowercase__				 =							np.array([[1, 2, 4], [2, 3, -1], [4, -1, 1]]      )
     assert is_hermitian(A      ), f'''{a} is not hermitian.'''
     assert rayleigh_quotient(A    ,				A      ) == float(3      )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 tests()




