
from __future__ import annotations

import bisect


def    A (      lowercase					, lowercase					, lowercase = 0					, lowercase = -1				)     ->						int:
		'''simple docstring'''

		if hi < 0:
				UpperCamelCase						=  len(lowercase				)

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

		return lo


def    A (      lowercase					, lowercase					, lowercase = 0					, lowercase = -1				)     ->						int:
		'''simple docstring'''

		if hi < 0:
				UpperCamelCase						=  len(lowercase				)

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

		return lo


def    A (      lowercase					, lowercase					, lowercase = 0					, lowercase = -1				)     ->						None:
		'''simple docstring'''

		sorted_collection.insert(bisect_left(lowercase					, lowercase					, lowercase					, lowercase				)					, lowercase				)


def    A (      lowercase					, lowercase					, lowercase = 0					, lowercase = -1				)     ->						None:
		'''simple docstring'''

		sorted_collection.insert(bisect_right(lowercase					, lowercase					, lowercase					, lowercase				)					, lowercase				)


def    A (      lowercase					, lowercase				)     ->						int | None:
		'''simple docstring'''

		UpperCamelCase						=  0
		UpperCamelCase						=  len(lowercase				) - 1

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


def    A (      lowercase					, lowercase				)     ->						int | None:
		'''simple docstring'''

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


def    A (      lowercase					, lowercase					, lowercase					, lowercase				)     ->						int | None:
		'''simple docstring'''

		if right < left:
				return None

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

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


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


_UpperCAmelCase      :				Union[str, Any]          = {
    "configuration_git": ["GIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "GitConfig", "GitVisionConfig"],
    "processing_git": ["GitProcessor"],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase      :				Dict          = [
					    "GIT_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "GitForCausalLM",
					    "GitModel",
					    "GitPreTrainedModel",
					    "GitVisionModel",
					]

if TYPE_CHECKING:
					from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
					from .processing_git import GitProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_git import (
										    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GitForCausalLM,
										    GitModel,
										    GitPreTrainedModel,
										    GitVisionModel,
										)

else:
					import sys

					_UpperCAmelCase      :				int          = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
