



"""simple docstring"""
import copy
import os
from typing import Union

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


__SCREAMING_SNAKE_CASE  :						Tuple    							=      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE  :						Tuple    							=      {
    '''microsoft/git-base''': '''https://huggingface.co/microsoft/git-base/resolve/main/config.json''',
}


class 							lowerCamelCase_(   A__    ):





					'''simple docstring'''



					lowercase__   :       Dict										= 'git_vision_model'

					def __init__(    self				,       lowerCamelCase__=7_6_8				,       lowerCamelCase__=3_0_7_2				,       lowerCamelCase__=1_2				,       lowerCamelCase__=1_2				,       lowerCamelCase__=3				,       lowerCamelCase__=2_2_4				,       lowerCamelCase__=1_6				,       lowerCamelCase__="quick_gelu"				,       lowerCamelCase__=1e-5				,       lowerCamelCase__=0.0				,       lowerCamelCase__=0.0_2				,       **lowerCamelCase__				,       ):
									super().__init__(**lowerCamelCase__   )

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





					@classmethod
					def 			snake_case__      (    cls				,       lowerCamelCase__				,       **lowerCamelCase__   ):
									cls._set_token_in_kwargs(lowerCamelCase__   )

									_lowerCamelCase  ,     _lowerCamelCase        =				cls.get_config_dict(lowerCamelCase__				,       **lowerCamelCase__   )

									# get the vision config dict if we are loading from GITConfig
									if config_dict.get('''model_type'''   ) == "git":
													_lowerCamelCase        =				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(lowerCamelCase__				,       **lowerCamelCase__   )


class 							lowerCamelCase_(   A__    ):





					'''simple docstring'''



					lowercase__   :       Any										= 'git'

					def __init__(    self				,       lowerCamelCase__=None				,       lowerCamelCase__=3_0_5_2_2				,       lowerCamelCase__=7_6_8				,       lowerCamelCase__=6				,       lowerCamelCase__=1_2				,       lowerCamelCase__=3_0_7_2				,       lowerCamelCase__="gelu"				,       lowerCamelCase__=0.1				,       lowerCamelCase__=0.1				,       lowerCamelCase__=1_0_2_4				,       lowerCamelCase__=0.0_2				,       lowerCamelCase__=1e-12				,       lowerCamelCase__=0				,       lowerCamelCase__="absolute"				,       lowerCamelCase__=True				,       lowerCamelCase__=False				,       lowerCamelCase__=1_0_1				,       lowerCamelCase__=1_0_2				,       lowerCamelCase__=None				,       **lowerCamelCase__				,       ):
									super().__init__(bos_token_id=lowerCamelCase__				,       eos_token_id=lowerCamelCase__				,       pad_token_id=lowerCamelCase__				,       **lowerCamelCase__   )

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

									_lowerCamelCase        =				GitVisionConfig(**lowerCamelCase__   )
									_lowerCamelCase        =				vocab_size
									_lowerCamelCase        =				hidden_size
									_lowerCamelCase        =				num_hidden_layers
									_lowerCamelCase        =				num_attention_heads
									_lowerCamelCase        =				hidden_act
									_lowerCamelCase        =				intermediate_size
									_lowerCamelCase        =				hidden_dropout_prob
									_lowerCamelCase        =				attention_probs_dropout_prob
									_lowerCamelCase        =				max_position_embeddings
									_lowerCamelCase        =				initializer_range
									_lowerCamelCase        =				layer_norm_eps
									_lowerCamelCase        =				position_embedding_type
									_lowerCamelCase        =				use_cache
									_lowerCamelCase        =				tie_word_embeddings
									_lowerCamelCase        =				num_image_with_embedding

									_lowerCamelCase        =				bos_token_id
									_lowerCamelCase        =				eos_token_id





					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				copy.deepcopy(self.__dict__   )
									_lowerCamelCase        =				self.vision_config.to_dict()
									_lowerCamelCase        =				self.__class__.model_type
									return output





"""simple docstring"""
from __future__ import annotations

from math import pow, sqrt



def        lowerCAmelCase_(   lowercase_     :							float						,   lowercase_     :							float						,   lowercase_     :							float							)	->       dict[str, float]:
				if (resistance, reactance, impedance).count(0							) != 1:
								raise ValueError('''One and only one argument must be 0'''							)
				if resistance == 0:
								return {"resistance": sqrt(pow(lowercase_						,   2							) - pow(lowercase_						,   2							)							)}
				elif reactance == 0:
								return {"reactance": sqrt(pow(lowercase_						,   2							) - pow(lowercase_						,   2							)							)}
				elif impedance == 0:
								return {"impedance": sqrt(pow(lowercase_						,   2							) + pow(lowercase_						,   2							)							)}
				else:
								raise ValueError('''Exactly one argument must be 0'''							)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
