


def 		snake_case_   (				lowercase__     :    List[Any]       ,     lowercase__     :    List[str]     ):






				'''simple docstring'''






				_lowerCAmelCase  						=(boundary[1] - boundary[0]) / steps
				_lowerCAmelCase  						=boundary[0]
				_lowerCAmelCase  						=boundary[1]
				_lowerCAmelCase  						=make_points(lowercase__       ,     lowercase__       ,     lowercase__     )
				_lowerCAmelCase  						=0.0
				y += (h / 3.0) * f(lowercase__     )
				_lowerCAmelCase  						=2
				for i in x_i:
								y += (h / 3) * (4 - 2 * (cnt % 2)) * f(lowercase__     )
								cnt += 1
				y += (h / 3.0) * f(lowercase__     )
				return y

def 		snake_case_   (				lowercase__     :    Any       ,     lowercase__     :    int       ,     lowercase__     :    Dict     ):






				'''simple docstring'''






				_lowerCAmelCase  						=a + h
				while x < (b - h):
								yield x
								_lowerCAmelCase  						=x + h

def 		snake_case_   (				lowercase__     :    Union[str, Any]     ):  # enter your function here






				'''simple docstring'''






				_lowerCAmelCase  						=(x - 0) * (x - 0)
				return y

def 		snake_case_   (				):






				'''simple docstring'''






				_lowerCAmelCase  						=0.0  # Lower bound of integration
				_lowerCAmelCase  						=1.0  # Upper bound of integration
				_lowerCAmelCase  						=1_0.0  # define number of steps or resolution
				_lowerCAmelCase  						=[a, b]  # define boundary of integration
				_lowerCAmelCase  						=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


__SCREAMING_SNAKE_CASE	:							Optional[int]           =  {'''configuration_sew_d''': ['''SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SEWDConfig''']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE	:							Dict           =  [
		    '''SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''SEWDForCTC''',
		    '''SEWDForSequenceClassification''',
		    '''SEWDModel''',
		    '''SEWDPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_sew_d import (
				    SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SEWDForCTC,
				    SEWDForSequenceClassification,
				    SEWDModel,
				    SEWDPreTrainedModel,
				)


else:
		import sys

		__SCREAMING_SNAKE_CASE	:							Tuple           =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

