






SCREAMING_SNAKE_CASE__      :			Dict							=		"""\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"""

SCREAMING_SNAKE_CASE__      :			Any							=		[{"""type""": """code""", """content""": INSTALL_CONTENT}]
SCREAMING_SNAKE_CASE__      :			Any							=		{
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}














from __future__ import annotations

def      __lowercase					( snake_case,  snake_case ):







				"""simple docstring"""






				__magic_name__		:Tuple        =      0
				__magic_name__		:Tuple        =      len(snake_case ) - 1

				while i < j:
								if nums[i] + nums[j] == target:
												return [i, j]
								elif nums[i] + nums[j] < target:
												__magic_name__		:str        =      i + 1
								else:
												__magic_name__		:List[Any]        =      j - 1

				return []


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					print(f"{two_pointer([2, 7, 11, 15], 9) = }")






