def     UpperCamelCase						(	__lowercase						:			List[str]						,__lowercase						:			str     ):
		'''simple docstring'''




		A_		:    Optional[int]         =				(boundary[1] - boundary[0]) / steps
		A_		:    int         =				boundary[0]
		A_		:    Any         =				boundary[1]
		A_		:    Tuple         =				make_points(__lowercase						,__lowercase						,__lowercase     )
		A_		:    List[str]         =				0.0
		y += (h / 2.0) * f(__lowercase     )
		for i in x_i:
				# print(i)
				y += h * f(__lowercase     )
		y += (h / 2.0) * f(__lowercase     )
		return y

def     UpperCamelCase						(	__lowercase						:			List[Any]						,__lowercase						:			Optional[Any]						,__lowercase						:			str     ):
		'''simple docstring'''




		A_		:    int         =				a + h
		while x < (b - h):
				yield x
				A_		:    Union[str, Any]         =				x + h

def     UpperCamelCase						(	__lowercase						:			Dict     ):  # enter your function here
		'''simple docstring'''




		A_		:    Tuple         =				(x - 0) * (x - 0)
		return y

def     UpperCamelCase						(	):
		'''simple docstring'''




		A_		:    List[Any]         =				0.0  # Lower bound of integration
		A_		:    Union[str, Any]         =				1.0  # Upper bound of integration
		A_		:    Tuple         =				10.0  # define number of steps or resolution
		A_		:    List[str]         =				[a, b]  # define boundary of integration
		A_		:    Optional[int]         =				method_a(__lowercase						,__lowercase     )
		print(f'''y = {y}'''     )


if __name__ == "__main__":
	main()







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCAmelCase            =		{
    """configuration_instructblip""": [
        """INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """InstructBlipConfig""",
        """InstructBlipQFormerConfig""",
        """InstructBlipVisionConfig""",
    ],
    """processing_instructblip""": ["""InstructBlipProcessor"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_UpperCAmelCase            =		[
	    """INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """InstructBlipQFormerModel""",
	    """InstructBlipPreTrainedModel""",
	    """InstructBlipForConditionalGeneration""",
	    """InstructBlipVisionModel""",
	]

if TYPE_CHECKING:
	from .configuration_instructblip import (
	    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    InstructBlipConfig,
	    InstructBlipQFormerConfig,
	    InstructBlipVisionConfig,
	)
	from .processing_instructblip import InstructBlipProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_instructblip import (
		    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
		    InstructBlipForConditionalGeneration,
		    InstructBlipPreTrainedModel,
		    InstructBlipQFormerModel,
		    InstructBlipVisionModel,
		)

else:
	import sys

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






