code: 
  
  
  def 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase     )    ->Union[str, Any]:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   str					   =		(boundary[1] - boundary[0]) / steps
        lowercase			:   List[str]					   =		boundary[0]
        lowercase			:   List[Any]					   =		boundary[1]
        lowercase			:   List[str]					   =		make_points(_UpperCamelCase,    _UpperCamelCase,    _UpperCamelCase     )
        lowercase			:   List[Any]					   =		0.0
        y += (h / 3.0) * f(_UpperCamelCase     )
        lowercase			:   Optional[int]					   =		2
        for i in x_i:
              y += (h / 3) * (4 - 2 * (cnt % 2)) * f(_UpperCamelCase     )
              cnt += 1
        y += (h / 3.0) * f(_UpperCamelCase     )
        return y
  
  
  
  
  def 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase,    _UpperCamelCase     )    ->List[Any]:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   List[str]					   =		a + h
        while x < (b - h):
              yield x
              lowercase			:   int					   =		x + h
  
  
  
  
  def 			__lowercase	(						_UpperCamelCase     )    ->Optional[int]:  # enter your function here
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   Any					   =		(x - 0) * (x - 0)
        return y
  
  
  
  
  def 			__lowercase	(						)    ->Optional[int]:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   Dict					   =		0.0  # Lower bound of integration
        lowercase			:   Tuple					   =		1.0  # Upper bound of integration
        lowercase			:   List[Any]					   =		10.0  # define number of steps or resolution
        lowercase			:   List[Any]					   =		[a, b]  # define boundary of integration
        lowercase			:   Tuple					   =		method_a(_UpperCamelCase,    _UpperCamelCase     )
        print(f"""y = {y}"""     )
  
  
  if __name__ == "__main__":
    main()
  
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  __a   				=      {
      '''configuration_decision_transformer''': [
          '''DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
          '''DecisionTransformerConfig''',
      ],
  }
  
  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    __a   				=      [
        '''DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''DecisionTransformerGPT2Model''',
        '''DecisionTransformerGPT2PreTrainedModel''',
        '''DecisionTransformerModel''',
        '''DecisionTransformerPreTrainedModel''',
    ]
  
  
  if TYPE_CHECKING:
    from .configuration_decision_transformer import (
        DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DecisionTransformerConfig,
    )
  
    try:
      if not is_torch_available():
        raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
      pass
    else:
      from .modeling_decision_transformer import (
          DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          DecisionTransformerGPTaModel,
          DecisionTransformerGPTaPreTrainedModel,
          DecisionTransformerModel,
          DecisionTransformerPreTrainedModel,
      )
  
  
  else:
    import sys
  
    __a   				=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  