from __future__ import annotations

from random import random




class   lowercase_    :



	"""simple docstring"""





	def __init__(				self						,     __SCREAMING_SNAKE_CASE = None							)		->List[Any]:
								lowerCAmelCase      						=						value
								lowerCAmelCase      						=						random()
								lowerCAmelCase      						=						None
								lowerCAmelCase      						=						None


	def __repr__(				self							)		->str:
								from pprint import pformat

								if self.left is None and self.right is None:
															return F"'{self.value}: {self.prior:.5}'"
								else:
															return pformat(
															    {F"{self.value}: {self.prior:.5}": (self.left, self.right)}						,     indent=1							)




	def __str__(				self							)		->str:
								lowerCAmelCase      						=						str(self.value							) + ''' '''
								lowerCAmelCase      						=						str(self.left or ''''''							)
								lowerCAmelCase      						=						str(self.right or ''''''							)
								return value + left + right

def   SCREAMING_SNAKE_CASE_	(		snake_case__  ,    snake_case__				)	->      tuple[Node | None, Node | None]:
							if root is None:  # None tree is split into 2 Nones
														return None, None
							elif root.value is None:
														return None, None
							else:
														if value < root.value:
																					lowerCAmelCase						, lowerCAmelCase      						=						split(root.left  ,    lowerCAmelCase_				)
																					return left, root
														else:
																					lowerCAmelCase						, lowerCAmelCase      						=						split(root.right  ,    lowerCAmelCase_				)
																					return root, right

def   SCREAMING_SNAKE_CASE_	(		snake_case__  ,    snake_case__				)	->      Node | None:
							if (not left) or (not right):  # If one node is None, return the other
														return left or right
							elif left.prior < right.prior:
														lowerCAmelCase      						=						merge(left.right  ,    lowerCAmelCase_				)
														return left
							else:
														lowerCAmelCase      						=						merge(lowerCAmelCase_  ,    right.left				)
														return right

def   SCREAMING_SNAKE_CASE_	(		snake_case__  ,    snake_case__				)	->      Node | None:
							lowerCAmelCase      						=						Node(lowerCAmelCase_				)
							lowerCAmelCase						, lowerCAmelCase      						=						split(lowerCAmelCase_  ,    lowerCAmelCase_				)
							return merge(merge(lowerCAmelCase_  ,    lowerCAmelCase_				)  ,    lowerCAmelCase_				)

def   SCREAMING_SNAKE_CASE_	(		snake_case__  ,    snake_case__				)	->      Node | None:
							lowerCAmelCase						, lowerCAmelCase      						=						split(lowerCAmelCase_  ,    value - 1				)
							lowerCAmelCase						, lowerCAmelCase      						=						split(lowerCAmelCase_  ,    lowerCAmelCase_				)
							return merge(lowerCAmelCase_  ,    lowerCAmelCase_				)

def   SCREAMING_SNAKE_CASE_	(		snake_case__				)	->      None:
							if not root:  # None
														return
							else:
														inorder(root.left				)
														print(root.value  ,    end=''','''				)
														inorder(root.right				)

def   SCREAMING_SNAKE_CASE_	(		snake_case__  ,    snake_case__				)	->      Node | None:
							for arg in args.split():
														if arg[0] == "+":
																					lowerCAmelCase      						=						insert(lowerCAmelCase_  ,    int(arg[1:]				)				)

														elif arg[0] == "-":
																					lowerCAmelCase      						=						erase(lowerCAmelCase_  ,    int(arg[1:]				)				)

														else:
																					print('''Unknown command'''				)

							return root

def   SCREAMING_SNAKE_CASE_	(		)	->      None:
							lowerCAmelCase      						=						None
							print(
							    '''enter numbers to create a tree, + value to add value into treap, '''
							    '''- value to erase all nodes with value. \'q\' to quit. '''				)

							lowerCAmelCase      						=						input()
							while args != "q":
														lowerCAmelCase      						=						interact_treap(lowerCAmelCase_  ,    lowerCAmelCase_				)
														print(lowerCAmelCase_				)
														lowerCAmelCase      						=						input()

							print('''good by!'''				)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()







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	 =      logging.get_logger(__name__)

__a	 =      {
    """google/mobilenet_v1_1.0_224""": """https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json""",
    """google/mobilenet_v1_0.75_192""": """https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json""",
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}






class 	__lowercase					(	__snake_case	):
      UpperCamelCase										=							'''mobilenet_v1'''





      def __init__(		self    :       Any       ,							__lowerCamelCase    :       Union[str, Any]=3       ,							__lowerCamelCase    :       Dict=2_2_4       ,							__lowerCamelCase    :       Union[str, Any]=1.0       ,							__lowerCamelCase    :       Optional[int]=8       ,							__lowerCamelCase    :       Optional[int]="relu6"       ,							__lowerCamelCase    :       Optional[int]=True       ,							__lowerCamelCase    :       List[str]=0.999       ,							__lowerCamelCase    :       Optional[Any]=0.02       ,							__lowerCamelCase    :       str=0.001       ,							**__lowerCamelCase    :       Optional[Any]       ,							)     -> Optional[int]:






         """simple docstring"""







         super().__init__(**__lowerCamelCase							)

         if depth_multiplier <= 0:
            raise ValueError("""depth_multiplier must be greater than zero."""							)

         UpperCAmelCase      					=  num_channels
         UpperCAmelCase      					=  image_size
         UpperCAmelCase      					=  depth_multiplier
         UpperCAmelCase      					=  min_depth
         UpperCAmelCase      					=  hidden_act
         UpperCAmelCase      					=  tf_padding
         UpperCAmelCase      					=  classifier_dropout_prob
         UpperCAmelCase      					=  initializer_range
         UpperCAmelCase      					=  layer_norm_eps






class 	__lowercase					(	__snake_case	):
      UpperCamelCase										=							version.parse('''1.11'''	)





      @property
      def 							_lowercase					(		self    :       Optional[int]							)     -> Mapping[str, Mapping[int, str]]:






         """simple docstring"""







         return OrderedDict([("""pixel_values""", {0: """batch"""})]							)





      @property
      def 							_lowercase					(		self    :       Union[str, Any]							)     -> 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 							_lowercase					(		self    :       List[Any]							)     -> float:






         """simple docstring"""







         return 1e-4



