code: 
  
  
  def   UpperCamelCase__   (    UpperCAmelCase_    ,     UpperCAmelCase_			)						->							List[Any]:
  
  
  
  
         '''simple docstring'''
  
  
  
  
  
  
         _lowercase					:				Any           =			(boundary[1] - boundary[0]) / steps
         _lowercase					:				Union[str, Any]           =			boundary[0]
         _lowercase					:				int           =			boundary[1]
         _lowercase					:				Tuple           =			make_points(UpperCAmelCase_    ,     UpperCAmelCase_    ,     UpperCAmelCase_			)
         _lowercase					:				Any           =			0.0
         y += (h / 3.0) * f(UpperCAmelCase_			)
         _lowercase					:				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   UpperCamelCase__   (    UpperCAmelCase_    ,     UpperCAmelCase_    ,     UpperCAmelCase_			)						->							Union[str, Any]:
  
  
  
  
         '''simple docstring'''
  
  
  
  
  
  
         _lowercase					:				int           =			a + h
         while x < (b - h):
                yield x
                _lowercase					:				int           =			x + h
  
  def   UpperCamelCase__   (    UpperCAmelCase_			)						->							List[Any]:  # enter your function here
  
  
  
  
         '''simple docstring'''
  
  
  
  
  
  
         _lowercase					:				str           =			(x - 0) * (x - 0)
         return y
  
  def   UpperCamelCase__   (    )						->							Optional[int]:
  
  
  
  
         '''simple docstring'''
  
  
  
  
  
  
         _lowercase					:				Dict           =			0.0  # Lower bound of integration
         _lowercase					:				List[Any]           =			1.0  # Upper bound of integration
         _lowercase					:				str           =			10.0  # define number of steps or resolution
         _lowercase					:				Dict           =			[a, b]  # define boundary of integration
         _lowercase					:				Union[str, Any]           =			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_tokenizers_available, is_torch_available
  
  
  UpperCamelCase__				       =			{
      'configuration_realm': ['REALM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RealmConfig'],
      'tokenization_realm': ['RealmTokenizer'],
  }
  
  try:
     if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
     pass
  else:
     UpperCamelCase__				       =			['RealmTokenizerFast']
  
  try:
     if not is_torch_available():
        raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
     pass
  else:
     UpperCamelCase__				       =			[
         'REALM_PRETRAINED_MODEL_ARCHIVE_LIST',
         'RealmEmbedder',
         'RealmForOpenQA',
         'RealmKnowledgeAugEncoder',
         'RealmPreTrainedModel',
         'RealmReader',
         'RealmScorer',
         'load_tf_weights_in_realm',
     ]
     UpperCamelCase__				       =			['RealmRetriever']
  
  
  if TYPE_CHECKING:
     from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
     from .tokenization_realm import RealmTokenizer
  
     try:
        if not is_tokenizers_available():
           raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
        pass
     else:
        from .tokenization_realm import RealmTokenizerFast
  
     try:
        if not is_torch_available():
           raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
        pass
     else:
        from .modeling_realm import (
            REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
            RealmEmbedder,
            RealmForOpenQA,
            RealmKnowledgeAugEncoder,
            RealmPreTrainedModel,
            RealmReader,
            RealmScorer,
            load_tf_weights_in_realm,
        )
        from .retrieval_realm import RealmRetriever
  
  
  else:
     import sys
  
     UpperCamelCase__				       =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)