





'''simple docstring'''

def  _a     (				lowerCAmelCase_      ,   lowerCAmelCase_						):





      """simple docstring"""



      _snake_case		:						List[str]         =  (boundary[1] - boundary[0]) / steps
      _snake_case		:						List[Any]         =  boundary[0]
      _snake_case		:						Tuple         =  boundary[1]
      _snake_case		:						str         =  make_points(lowerCAmelCase_      ,   lowerCAmelCase_      ,   lowerCAmelCase_						)
      _snake_case		:						str         =  0.0
      y += (h / 3.0) * f(lowerCAmelCase_						)
      _snake_case		:						Tuple         =  2
      for i in x_i:
            y += (h / 3) * (4 - 2 * (cnt % 2)) * f(lowerCAmelCase_						)
            cnt += 1
      y += (h / 3.0) * f(lowerCAmelCase_						)
      return y




def  _a     (				lowerCAmelCase_      ,   lowerCAmelCase_      ,   lowerCAmelCase_						):





      """simple docstring"""



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




def  _a     (				lowerCAmelCase_						):  # enter your function here





      """simple docstring"""



      _snake_case		:						Dict         =  (x - 0) * (x - 0)
      return y




def  _a     (				):





      """simple docstring"""



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


if __name__ == "__main__":
   main()









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__lowerCAmelCase			:Optional[int]	 =     {
    'configuration_mobilenet_v1': [
        'MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileNetV1Config',
        'MobileNetV1OnnxConfig',
    ],
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase			:Dict	 =     ['MobileNetV1FeatureExtractor']
							__lowerCAmelCase			:List[Any]	 =     ['MobileNetV1ImageProcessor']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase			:Optional[int]	 =     [
							    'MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'MobileNetV1ForImageClassification',
							    'MobileNetV1Model',
							    'MobileNetV1PreTrainedModel',
							    'load_tf_weights_in_mobilenet_v1',
							]


if TYPE_CHECKING:
							from .configuration_mobilenet_va import (
							    MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    MobileNetVaConfig,
							    MobileNetVaOnnxConfig,
							)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
														from .image_processing_mobilenet_va import MobileNetVaImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mobilenet_va import (
														    MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MobileNetVaForImageClassification,
														    MobileNetVaModel,
														    MobileNetVaPreTrainedModel,
														    load_tf_weights_in_mobilenet_va,
														)


else:
							import sys

							__lowerCAmelCase			:Optional[int]	 =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)