code: 
  import functools
  from math import sqrt
  from time import time
  
  
  
  
  
  def 						_lowerCamelCase		(							SCREAMING_SNAKE_CASE_				: List[str]	,	*SCREAMING_SNAKE_CASE_				: List[str]	,	**SCREAMING_SNAKE_CASE_				: List[Any]      ):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  							a_       :   List[str]			=	time()
  							a_       :   Any			=	func(*SCREAMING_SNAKE_CASE_	,	**SCREAMING_SNAKE_CASE_      )
  							a_       :   Dict			=	time()
  							if int(end - start      ) > 0:
  														print(F"""{func.__name__} runtime: {(end - start):0.4f} s"""      )
  							else:
  														print(F"""{func.__name__} runtime: {(end - start) * 10_00:0.4f} ms"""      )
  							return output
  
  
  
  
  
  def 						_lowerCamelCase		(							SCREAMING_SNAKE_CASE_				: Optional[int]      ):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  							if n < 0:
  														raise Exception("""n is negative"""      )
  							if n == 0:
  														return [0]
  							a_       :   Tuple			=	[0, 1]
  							for _ in range(n - 1      ):
  														fib.append(fib[-1] + fib[-2]      )
  							return fib
  
  
  
  
  
  def 						_lowerCamelCase		(							SCREAMING_SNAKE_CASE_				: Optional[Any]      ):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  							def fib_recursive_term(SCREAMING_SNAKE_CASE_				: Optional[int]      ) -> int:
  														if i < 0:
  																					raise Exception("""n is negative"""      )
  														if i < 2:
  																					return i
  														return fib_recursive_term(i - 1      ) + fib_recursive_term(i - 2      )
  
  							if n < 0:
  														raise Exception("""n is negative"""      )
  							return [fib_recursive_term(SCREAMING_SNAKE_CASE_      ) for i in range(n + 1      )]
  
  
  
  
  
  def 						_lowerCamelCase		(							SCREAMING_SNAKE_CASE_				: Tuple      ):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  							@functools.cache
  							def fib_recursive_term(SCREAMING_SNAKE_CASE_				: int      ) -> int:
  														if i < 0:
  																					raise Exception("""n is negative"""      )
  														if i < 2:
  																					return i
  														return fib_recursive_term(i - 1      ) + fib_recursive_term(i - 2      )
  
  							if n < 0:
  														raise Exception("""n is negative"""      )
  							return [fib_recursive_term(SCREAMING_SNAKE_CASE_      ) for i in range(n + 1      )]
  
  
  
  
  
  def 						_lowerCamelCase		(							SCREAMING_SNAKE_CASE_				: Union[str, Any]      ):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  							if n < 0:
  														raise Exception("""n is negative"""      )
  							# Cache must be outside recursuive function
  							# other it will reset every time it calls itself.
  							a_       :   dict[int, int]			=	{0: 0, 1: 1, 2: 1}  # Prefilled cache
  
  							def rec_fn_memoized(SCREAMING_SNAKE_CASE_				: Dict      ) -> int:
  														if num in cache:
  																					return cache[num]
  
  														a_       :   Dict			=	rec_fn_memoized(num - 1      ) + rec_fn_memoized(num - 2      )
  														a_       :   Optional[int]			=	value
  														return value
  
  							return [rec_fn_memoized(SCREAMING_SNAKE_CASE_      ) for i in range(n + 1      )]
  
  
  
  
  
  def 						_lowerCamelCase		(							SCREAMING_SNAKE_CASE_				: int      ):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  							if n < 0:
  														raise Exception("""n is negative"""      )
  							if n >= 14_75:
  														raise Exception("""n is too large"""      )
  							a_       :   Any			=	sqrt(5      )
  							a_       :   List[str]			=	(1 + sqrt_a) / 2
  							return [round(phi**i / sqrt_a      ) for i in range(n + 1      )]
  
  
  if __name__ == "__main__":
  	SCREAMING_SNAKE_CASE : Dict          =    30
  	time_func(fib_iterative, num)
  	time_func(fib_recursive, num)  # Around 3s runtime
  	time_func(fib_recursive_cached, num)  # Around 0ms runtime
  	time_func(fib_memoization, num)
  	time_func(fib_binet, num)
  
  
  
style_context: 
  
  
  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
  
  
  SCREAMING_SNAKE_CASE : Dict          =    logging.get_logger(__name__)
  
  SCREAMING_SNAKE_CASE : str          =    {
      "apple/mobilevit-small": "https://huggingface.co/apple/mobilevit-small/resolve/main/config.json",
      "apple/mobilevit-x-small": "https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json",
      "apple/mobilevit-xx-small": "https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json",
      "apple/deeplabv3-mobilevit-small": (
          "https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json"
      ),
      "apple/deeplabv3-mobilevit-x-small": (
          "https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json"
      ),
      "apple/deeplabv3-mobilevit-xx-small": (
          "https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json"
      ),
      # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
  }
  
  
  
  
  
  class 					snake_case__  ( __A       ):
  	UpperCAmelCase   :							List[str]         = """mobilevit"""
  
  
  
  
  
  	def __init__(  self				,    UpperCamelCase_=3				,    UpperCamelCase_=256				,    UpperCamelCase_=2				,    UpperCamelCase_=[144, 192, 240]				,    UpperCamelCase_=[16, 32, 64, 96, 128, 160, 640]				,    UpperCamelCase_=4				,    UpperCamelCase_=2.0				,    UpperCamelCase_=4.0				,    UpperCamelCase_="silu"				,    UpperCamelCase_=3				,    UpperCamelCase_=32				,    UpperCamelCase_=0.1				,    UpperCamelCase_=0.0				,    UpperCamelCase_=0.1				,    UpperCamelCase_=0.02				,    UpperCamelCase_=1e-5				,    UpperCamelCase_=True				,    UpperCamelCase_=256				,    UpperCamelCase_=[6, 12, 18]				,    UpperCamelCase_=0.1				,    UpperCamelCase_=255				,    **UpperCamelCase_				,    )		->			str:
  								"""simple docstring"""
  
  
  
  
  
  
  								super().__init__(**UpperCamelCase_							)
  
  								a_       :   Optional[int]			=	num_channels
  								a_       :   Optional[Any]			=	image_size
  								a_       :   int			=	patch_size
  								a_       :   List[str]			=	hidden_sizes
  								a_       :   Optional[int]			=	neck_hidden_sizes
  								a_       :   List[Any]			=	num_attention_heads
  								a_       :   Union[str, Any]			=	mlp_ratio
  								a_       :   List[str]			=	expand_ratio
  								a_       :   str			=	hidden_act
  								a_       :   Union[str, Any]			=	conv_kernel_size
  								a_       :   Optional[Any]			=	output_stride
  								a_       :   Union[str, Any]			=	hidden_dropout_prob
  								a_       :   List[Any]			=	attention_probs_dropout_prob
  								a_       :   List[Any]			=	classifier_dropout_prob
  								a_       :   Union[str, Any]			=	initializer_range
  								a_       :   List[Any]			=	layer_norm_eps
  								a_       :   str			=	qkv_bias
  
  								# decode head attributes for semantic segmentation
  								a_       :   Optional[Any]			=	aspp_out_channels
  								a_       :   Any			=	atrous_rates
  								a_       :   Union[str, Any]			=	aspp_dropout_prob
  								a_       :   Any			=	semantic_loss_ignore_index
  
  
  
  
  
  class 					snake_case__  ( __A       ):
  	UpperCAmelCase   :							Optional[int]         = version.parse("""1.11"""       )
  
  
  
  
  
  	@property
  	def     A				(  self							)		->			Mapping[str, Mapping[int, str]]:
  								"""simple docstring"""
  
  
  
  
  
  
  								return OrderedDict([("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""})]							)
  
  
  
  
  
  	@property
  	def     A				(  self							)		->			Mapping[str, Mapping[int, str]]:
  								"""simple docstring"""
  
  
  
  
  
  
  								if self.task == "image-classification":
  															return OrderedDict([("""logits""", {0: """batch"""})]							)
  								else:
  															return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]							)
  
  
  
  
  
  	@property
  	def     A				(  self							)		->			float:
  								"""simple docstring"""
  
  
  
  
  
  
  								return 1e-4
  
  
  