






from __future__ import annotations

import bisect

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  list[int]	,			__magic_name__					:  int	,			__magic_name__					:  int = 0	,			__magic_name__					:  int = -1					)		->			int:






	"""simple docstring"""



	if hi < 0:
		UpperCamelCase     :Optional[int]          =	len(__magic_name__					)

	while lo < hi:
		UpperCamelCase     :Tuple          =	lo + (hi - lo) // 2
		if sorted_collection[mid] < item:
			UpperCamelCase     :Optional[Any]          =	mid + 1
		else:
			UpperCamelCase     :Optional[int]          =	mid

	return lo

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  list[int]	,			__magic_name__					:  int	,			__magic_name__					:  int = 0	,			__magic_name__					:  int = -1					)		->			int:






	"""simple docstring"""



	if hi < 0:
		UpperCamelCase     :int          =	len(__magic_name__					)

	while lo < hi:
		UpperCamelCase     :List[Any]          =	lo + (hi - lo) // 2
		if sorted_collection[mid] <= item:
			UpperCamelCase     :str          =	mid + 1
		else:
			UpperCamelCase     :Dict          =	mid

	return lo

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  list[int]	,			__magic_name__					:  int	,			__magic_name__					:  int = 0	,			__magic_name__					:  int = -1					)		->			None:






	"""simple docstring"""



	sorted_collection.insert(bisect_left(__magic_name__	,			__magic_name__	,			__magic_name__	,			__magic_name__					)	,			__magic_name__					)

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  list[int]	,			__magic_name__					:  int	,			__magic_name__					:  int = 0	,			__magic_name__					:  int = -1					)		->			None:






	"""simple docstring"""



	sorted_collection.insert(bisect_right(__magic_name__	,			__magic_name__	,			__magic_name__	,			__magic_name__					)	,			__magic_name__					)

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  list[int]	,			__magic_name__					:  int					)		->			int | None:






	"""simple docstring"""



	UpperCamelCase     :List[Any]          =	0
	UpperCamelCase     :Tuple          =	len(__magic_name__					) - 1

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

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  list[int]	,			__magic_name__					:  int					)		->			int | None:






	"""simple docstring"""



	UpperCamelCase     :int          =	bisect.bisect_left(__magic_name__	,			__magic_name__					)
	if index != len(__magic_name__					) and sorted_collection[index] == item:
		return index
	return None

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  list[int]	,			__magic_name__					:  int	,			__magic_name__					:  int	,			__magic_name__					:  int					)		->			int | None:






	"""simple docstring"""



	if right < left:
		return None

	UpperCamelCase     :Union[str, Any]          =	left + (right - left) // 2

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


if __name__ == "__main__":
	UpperCAmelCase_ :						List[Any]      =      input('''Enter numbers separated by comma:\n''').strip()
	UpperCAmelCase_ :						List[Any]      =      sorted(int(item) for item in user_input.split(''','''))
	UpperCAmelCase_ :						Dict      =      int(input('''Enter a single number to be found in the list:\n'''))
	UpperCAmelCase_ :						Optional[Any]      =      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}.''')








from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCAmelCase_ :						str      =      {'''configuration_opt''': ['''OPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''OPTConfig''']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCAmelCase_ :						Tuple      =      [
	    '''OPT_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''OPTForCausalLM''',
	    '''OPTModel''',
	    '''OPTPreTrainedModel''',
	    '''OPTForSequenceClassification''',
	    '''OPTForQuestionAnswering''',
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCAmelCase_ :						Any      =      ['''TFOPTForCausalLM''', '''TFOPTModel''', '''TFOPTPreTrainedModel''']

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCAmelCase_ :						Optional[Any]      =      [
	    '''FlaxOPTForCausalLM''',
	    '''FlaxOPTModel''',
	    '''FlaxOPTPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_opt import OPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OPTConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_opt import (
		    OPT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    OPTForCausalLM,
		    OPTForQuestionAnswering,
		    OPTForSequenceClassification,
		    OPTModel,
		    OPTPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_opt import TFOPTForCausalLM, TFOPTModel, TFOPTPreTrainedModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_opt import FlaxOPTForCausalLM, FlaxOPTModel, FlaxOPTPreTrainedModel

else:
	import sys

	UpperCAmelCase_ :						List[Any]      =      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
