


'''simple docstring'''
from __future__ import annotations

import bisect







def       a_				(	UpperCamelCase_						,  UpperCamelCase_						,  UpperCamelCase_ = 0						,  UpperCamelCase_ = -1 ):
							if hi < 0:
														A_			    =		len(UpperCamelCase_ )

							while lo < hi:
														A_			    =		lo + (hi - lo) // 2
														if sorted_collection[mid] < item:
																					A_			    =		mid + 1
														else:
																					A_			    =		mid

							return lo







def       a_				(	UpperCamelCase_						,  UpperCamelCase_						,  UpperCamelCase_ = 0						,  UpperCamelCase_ = -1 ):
							if hi < 0:
														A_			    =		len(UpperCamelCase_ )

							while lo < hi:
														A_			    =		lo + (hi - lo) // 2
														if sorted_collection[mid] <= item:
																					A_			    =		mid + 1
														else:
																					A_			    =		mid

							return lo







def       a_				(	UpperCamelCase_						,  UpperCamelCase_						,  UpperCamelCase_ = 0						,  UpperCamelCase_ = -1 ):
							sorted_collection.insert(bisect_left(UpperCamelCase_						,  UpperCamelCase_						,  UpperCamelCase_						,  UpperCamelCase_ )						,  UpperCamelCase_ )







def       a_				(	UpperCamelCase_						,  UpperCamelCase_						,  UpperCamelCase_ = 0						,  UpperCamelCase_ = -1 ):
							sorted_collection.insert(bisect_right(UpperCamelCase_						,  UpperCamelCase_						,  UpperCamelCase_						,  UpperCamelCase_ )						,  UpperCamelCase_ )







def       a_				(	UpperCamelCase_						,  UpperCamelCase_ ):
							A_			    =		0
							A_			    =		len(UpperCamelCase_ ) - 1

							while left <= right:
														A_			    =		left + (right - left) // 2
														A_			    =		sorted_collection[midpoint]
														if current_item == item:
																					return midpoint
														elif item < current_item:
																					A_			    =		midpoint - 1
														else:
																					A_			    =		midpoint + 1
							return None







def       a_				(	UpperCamelCase_						,  UpperCamelCase_ ):
							A_			    =		bisect.bisect_left(UpperCamelCase_						,  UpperCamelCase_ )
							if index != len(UpperCamelCase_ ) and sorted_collection[index] == item:
														return index
							return None







def       a_				(	UpperCamelCase_						,  UpperCamelCase_						,  UpperCamelCase_						,  UpperCamelCase_ ):
							if right < left:
														return None

							A_			    =		left + (right - left) // 2

							if sorted_collection[midpoint] == item:
														return midpoint
							elif sorted_collection[midpoint] > item:
														return binary_search_by_recursion(UpperCamelCase_						,  UpperCamelCase_						,  UpperCamelCase_						,  midpoint - 1 )
							else:
														return binary_search_by_recursion(UpperCamelCase_						,  UpperCamelCase_						,  midpoint + 1						,  UpperCamelCase_ )


if __name__ == "__main__":
							__SCREAMING_SNAKE_CASE					:				Tuple									=		input('''Enter numbers separated by comma:\n''').strip()
							__SCREAMING_SNAKE_CASE					:				Any									=		sorted(int(item) for item in user_input.split(''','''))
							__SCREAMING_SNAKE_CASE					:				Tuple									=		int(input('''Enter a single number to be found in the list:\n'''))
							__SCREAMING_SNAKE_CASE					:				Optional[int]									=		binary_search(collection, target)
							if result is None:
														print(F"{target} was not found in {collection}.")
							else:
														print(F"{target} was found at position {result} in {collection}.")









'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__SCREAMING_SNAKE_CASE					:				List[str]									=		{
    '''configuration_graphormer''': ['''GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GraphormerConfig'''],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__SCREAMING_SNAKE_CASE					:				Optional[Any]									=		[
							    '''GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''GraphormerForGraphClassification''',
							    '''GraphormerModel''',
							    '''GraphormerPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_graphormer import (
														    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GraphormerForGraphClassification,
														    GraphormerModel,
														    GraphormerPreTrainedModel,
														)


else:
							import sys

							__SCREAMING_SNAKE_CASE					:				Optional[int]									=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





