


"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

from packaging import version

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


a__				:							int						=     logging.get_logger(__name__)

a__				:							str						=     {
    '''facebook/deit-base-distilled-patch16-224''': (
        '''https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json'''
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}




class  UpperCamelCase_	( UpperCamelCase):

	"""simple docstring"""





	snake_case__				:  str    					=			"deit"




	def __init__( self			:				List[Any]			,			UpperCAmelCase__			:				str=7_6_8			,			UpperCAmelCase__			:				Union[str, Any]=1_2			,			UpperCAmelCase__			:				Any=1_2			,			UpperCAmelCase__			:				Dict=3_0_7_2			,			UpperCAmelCase__			:				Union[str, Any]="gelu"			,			UpperCAmelCase__			:				Optional[int]=0.0			,			UpperCAmelCase__			:				Optional[Any]=0.0			,			UpperCAmelCase__			:				List[str]=0.02			,			UpperCAmelCase__			:				str=1E-12			,			UpperCAmelCase__			:				Any=2_2_4			,			UpperCAmelCase__			:				Tuple=1_6			,			UpperCAmelCase__			:				int=3			,			UpperCAmelCase__			:				str=True			,			UpperCAmelCase__			:				Any=1_6			,			**UpperCAmelCase__			:				str			,			)       ->	Union[str, Any]:
						super().__init__(**UpperCAmelCase__   )

						__SCREAMING_SNAKE_CASE						   =				hidden_size
						__SCREAMING_SNAKE_CASE						   =				num_hidden_layers
						__SCREAMING_SNAKE_CASE						   =				num_attention_heads
						__SCREAMING_SNAKE_CASE						   =				intermediate_size
						__SCREAMING_SNAKE_CASE						   =				hidden_act
						__SCREAMING_SNAKE_CASE						   =				hidden_dropout_prob
						__SCREAMING_SNAKE_CASE						   =				attention_probs_dropout_prob
						__SCREAMING_SNAKE_CASE						   =				initializer_range
						__SCREAMING_SNAKE_CASE						   =				layer_norm_eps
						__SCREAMING_SNAKE_CASE						   =				image_size
						__SCREAMING_SNAKE_CASE						   =				patch_size
						__SCREAMING_SNAKE_CASE						   =				num_channels
						__SCREAMING_SNAKE_CASE						   =				qkv_bias
						__SCREAMING_SNAKE_CASE						   =				encoder_stride




class  UpperCamelCase_	( UpperCamelCase):

	"""simple docstring"""





	snake_case__				:  str    					=			version.parse("1.11")




	@property
	def   UpperCAmelCase_      ( self			:				Dict   )       ->	Mapping[str, Mapping[int, str]]:
						return OrderedDict(
						    [
						        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
						    ]   )




	@property
	def   UpperCAmelCase_      ( self			:				str   )       ->	float:
						return 1E-4




"""simple docstring"""







def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					if upper_limit < 0:
										raise ValueError("Limit for the Catalan sequence must be ≥ 0"   )

					__SCREAMING_SNAKE_CASE						   =				[0] * (upper_limit + 1)

					# Base case: C(0) = C(1) = 1
					__SCREAMING_SNAKE_CASE						   =				1
					if upper_limit > 0:
										__SCREAMING_SNAKE_CASE						   =				1

					# Recurrence relation: C(i) = sum(C(j).C(i-j-1)), from j = 0 to i
					for i in range(2  ,						upper_limit + 1   ):
										for j in range(lowerCAmelCase_   ):
															catalan_list[i] += catalan_list[j] * catalan_list[i - j - 1]

					return catalan_list


if __name__ == "__main__":
		print('''\n********* Catalan Numbers Using Dynamic Programming ************\n''')
		print('''\n*** Enter -1 at any time to quit ***''')
		print('''\nEnter the upper limit (≥ 0) for the Catalan number sequence: ''', end='''''')
		try:
				while True:
						a__				:							List[str]						=     int(input().strip())
						if N < 0:
								print('''\n********* Goodbye!! ************''')
								break
						else:
								print(F"The Catalan numbers from 0 through {N} are:")
								print(catalan_numbers(N))
								print('''Try another upper limit for the sequence: ''', end='''''')
		except (NameError, ValueError):
				print('''\n********* Invalid input, goodbye! ************\n''')

		import doctest

		doctest.testmod()
