





import copy
import os
from typing import Union

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


lowercase_		:				List[str]				=						logging.get_logger(__name__)

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


class 			lowercase				(							a_     ):



						"""simple docstring"""

						_UpperCamelCase  :	Union[str, Any]								=	"git_vision_model"







						def __init__(    self			:		Optional[int] ,				lowerCamelCase_			:		List[str]=7_68 ,				lowerCamelCase_			:		str=30_72 ,				lowerCamelCase_			:		Dict=12 ,				lowerCamelCase_			:		Optional[int]=12 ,				lowerCamelCase_			:		Tuple=3 ,				lowerCamelCase_			:		Optional[Any]=2_24 ,				lowerCamelCase_			:		Dict=16 ,				lowerCamelCase_			:		str="quick_gelu" ,				lowerCamelCase_			:		List[Any]=1e-5 ,				lowerCamelCase_			:		Optional[Any]=0.0 ,				lowerCamelCase_			:		Tuple=0.02 ,				**lowerCamelCase_			:		Optional[Any] ,				):





										'''simple docstring'''







										super().__init__(**lowerCamelCase_					)

										_snake_case :			List[Any]  						=   hidden_size
										_snake_case :			int  						=   intermediate_size
										_snake_case :			Optional[int]  						=   num_hidden_layers
										_snake_case :			List[Any]  						=   num_attention_heads
										_snake_case :			Union[str, Any]  						=   num_channels
										_snake_case :			str  						=   patch_size
										_snake_case :			Optional[int]  						=   image_size
										_snake_case :			List[Any]  						=   initializer_range
										_snake_case :			Tuple  						=   attention_dropout
										_snake_case :			str  						=   layer_norm_eps
										_snake_case :			int  						=   hidden_act







						@classmethod
						def 		__UpperCAmelCase       (    cls			:		Optional[int] ,				lowerCamelCase_			:		Union[str, os.PathLike] ,				**lowerCamelCase_			:		List[Any]					):





										'''simple docstring'''







										cls._set_token_in_kwargs(lowerCamelCase_					)

										_snake_case :			List[Any]  						=   cls.get_config_dict(lowerCamelCase_ ,				**lowerCamelCase_					)

										# get the vision config dict if we are loading from GITConfig
										if config_dict.get('model_type'					) == "git":
														_snake_case :			Any  						=   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 			lowercase				(							a_     ):



						"""simple docstring"""

						_UpperCamelCase  :	List[str]								=	"git"







						def __init__(    self			:		Dict ,				lowerCamelCase_			:		Dict=None ,				lowerCamelCase_			:		str=3_05_22 ,				lowerCamelCase_			:		str=7_68 ,				lowerCamelCase_			:		Dict=6 ,				lowerCamelCase_			:		Optional[Any]=12 ,				lowerCamelCase_			:		List[str]=30_72 ,				lowerCamelCase_			:		str="gelu" ,				lowerCamelCase_			:		Optional[int]=0.1 ,				lowerCamelCase_			:		List[str]=0.1 ,				lowerCamelCase_			:		int=10_24 ,				lowerCamelCase_			:		str=0.02 ,				lowerCamelCase_			:		Tuple=1e-12 ,				lowerCamelCase_			:		Union[str, Any]=0 ,				lowerCamelCase_			:		Dict="absolute" ,				lowerCamelCase_			:		Optional[int]=True ,				lowerCamelCase_			:		Union[str, Any]=False ,				lowerCamelCase_			:		str=1_01 ,				lowerCamelCase_			:		List[Any]=1_02 ,				lowerCamelCase_			:		List[str]=None ,				**lowerCamelCase_			:		Optional[Any] ,				):





										'''simple docstring'''







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

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

										_snake_case :			Optional[Any]  						=   GitVisionConfig(**lowerCamelCase_					)
										_snake_case :			Tuple  						=   vocab_size
										_snake_case :			int  						=   hidden_size
										_snake_case :			Any  						=   num_hidden_layers
										_snake_case :			Any  						=   num_attention_heads
										_snake_case :			Any  						=   hidden_act
										_snake_case :			Tuple  						=   intermediate_size
										_snake_case :			str  						=   hidden_dropout_prob
										_snake_case :			int  						=   attention_probs_dropout_prob
										_snake_case :			int  						=   max_position_embeddings
										_snake_case :			List[str]  						=   initializer_range
										_snake_case :			List[Any]  						=   layer_norm_eps
										_snake_case :			List[Any]  						=   position_embedding_type
										_snake_case :			Any  						=   use_cache
										_snake_case :			List[Any]  						=   tie_word_embeddings
										_snake_case :			str  						=   num_image_with_embedding

										_snake_case :			Optional[int]  						=   bos_token_id
										_snake_case :			List[Any]  						=   eos_token_id







						def 		__UpperCAmelCase       (    self			:		List[Any]					):





										'''simple docstring'''







										_snake_case :			Union[str, Any]  						=   copy.deepcopy(self.__dict__					)
										_snake_case :			List[str]  						=   self.vision_config.to_dict()
										_snake_case :			Optional[int]  						=   self.__class__.model_type
										return output













import math

def       A__(		__lowerCAmelCase ):

				if 1 < number < 4:
								# 2 and 3 are primes
								return True
				elif number < 2 or number % 2 == 0 or number % 3 == 0:
								# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
								return False

				# All primes number are in format of 6k +/- 1
				for i in range(5	,			int(math.sqrt(__lowerCAmelCase ) + 1 )	,			6 ):
								if number % i == 0 or number % (i + 2) == 0:
												return False
				return True

def       A__(		__lowerCAmelCase = 1_00_01 ):

				try:
								_snake_case :			int  						=   int(__lowerCAmelCase )
				except (TypeError, ValueError):
								raise TypeError('Parameter nth must be int or castable to int.' ) from None
				if nth <= 0:
								raise ValueError('Parameter nth must be greater than or equal to one.' )
				_snake_case :			list[int]  						=   []
				_snake_case :			List[Any]  						=   2
				while len(__lowerCAmelCase ) < nth:
								if is_prime(__lowerCAmelCase ):
												primes.append(__lowerCAmelCase )
												num += 1
								else:
												num += 1
				return primes[len(__lowerCAmelCase ) - 1]


if __name__ == "__main__":
		print(F'''{solution() = }''')






