



def 						snake_case__							(       __lowercase				,  __lowercase							)		->		str:







						"""simple docstring"""

						A__						:				Any         =			(boundary[1] - boundary[0]) / steps
						A__						:				Dict         =			boundary[0]
						A__						:				List[str]         =			boundary[1]
						A__						:				str         =			make_points(A__				,  A__				,  A__							)
						A__						:				Optional[int]         =			0.0
						y += (h / 3.0) * f(A__							)
						A__						:				List[str]         =			2
						for i in x_i:
												y += (h / 3) * (4 - 2 * (cnt % 2)) * f(A__							)
												cnt += 1
						y += (h / 3.0) * f(A__							)
						return y
def 						snake_case__							(       __lowercase				,  __lowercase				,  __lowercase							)		->		int:







						"""simple docstring"""

						A__						:				Optional[int]         =			a + h
						while x < (b - h):
												yield x
												A__						:				Any         =			x + h
def 						snake_case__							(       __lowercase							)		->		List[Any]:  # enter your function here







						"""simple docstring"""

						A__						:				Dict         =			(x - 0) * (x - 0)
						return y
def 						snake_case__							(       )		->		str:







						"""simple docstring"""

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


if __name__ == "__main__":
		main()





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_   							=      {'configuration_dinat': ['DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DinatConfig']}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase_   							=      [
           'DINAT_PRETRAINED_MODEL_ARCHIVE_LIST',
           'DinatForImageClassification',
           'DinatModel',
           'DinatPreTrainedModel',
           'DinatBackbone',
       ]

if TYPE_CHECKING:
       from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_dinat import (
                  DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DinatBackbone,
                  DinatForImageClassification,
                  DinatModel,
                  DinatPreTrainedModel,
              )

else:
       import sys

       UpperCAmelCase_   							=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

