

"""simple docstring"""


from __future__ import annotations

import bisect







def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__ = 0 ,			UpperCamelCase__ = -1	)      ->		int:







		"""simple docstring"""





		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  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__ = 0 ,			UpperCamelCase__ = -1	)      ->		int:







		"""simple docstring"""





		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  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__ = 0 ,			UpperCamelCase__ = -1	)      ->		None:







		"""simple docstring"""





		sorted_collection.insert(bisect_left(UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__	) ,			UpperCamelCase__	)







def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__ = 0 ,			UpperCamelCase__ = -1	)      ->		None:







		"""simple docstring"""





		sorted_collection.insert(bisect_right(UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__	) ,			UpperCamelCase__	)







def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__	)      ->		int | None:







		"""simple docstring"""





		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  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__	)      ->		int | None:







		"""simple docstring"""





		A					       = bisect.bisect_left(UpperCamelCase__ ,			UpperCamelCase__	)
		if index != len(UpperCamelCase__	) and sorted_collection[index] == item:
				return index
		return None







def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__ ,			UpperCamelCase__	)      ->		int | None:







		"""simple docstring"""





		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__":
	UpperCamelCase						:				Optional[Any]             =      input("Enter numbers separated by comma:\n").strip()
	UpperCamelCase						:				Optional[int]             =      sorted(int(item) for item in user_input.split(","))
	UpperCamelCase						:				Union[str, Any]             =      int(input("Enter a single number to be found in the list:\n"))
	UpperCamelCase						:				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_torch_available


UpperCamelCase						:				Dict             =      {
    "configuration_megatron_bert": ["MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegatronBertConfig"],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCamelCase						:				Any             =      [
	    "MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "MegatronBertForCausalLM",
	    "MegatronBertForMaskedLM",
	    "MegatronBertForMultipleChoice",
	    "MegatronBertForNextSentencePrediction",
	    "MegatronBertForPreTraining",
	    "MegatronBertForQuestionAnswering",
	    "MegatronBertForSequenceClassification",
	    "MegatronBertForTokenClassification",
	    "MegatronBertModel",
	    "MegatronBertPreTrainedModel",
	]

if TYPE_CHECKING:
	from .configuration_megatron_bert import MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MegatronBertConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_megatron_bert import (
		    MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MegatronBertForCausalLM,
		    MegatronBertForMaskedLM,
		    MegatronBertForMultipleChoice,
		    MegatronBertForNextSentencePrediction,
		    MegatronBertForPreTraining,
		    MegatronBertForQuestionAnswering,
		    MegatronBertForSequenceClassification,
		    MegatronBertForTokenClassification,
		    MegatronBertModel,
		    MegatronBertPreTrainedModel,
		)

else:
	import sys

	UpperCamelCase						:				Dict             =      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





