





def  A_(      A					,   A ):
	UpperCAmelCase_		    =  (boundary[1] - boundary[0]) / steps
	UpperCAmelCase_		    =  boundary[0]
	UpperCAmelCase_		    =  boundary[1]
	UpperCAmelCase_		    =  make_points(__lowerCamelCase					,   __lowerCamelCase					,   __lowerCamelCase )
	UpperCAmelCase_		    =  0.0
	y += (h / 3.0) * f(__lowerCamelCase )
	UpperCAmelCase_		    =  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_(      A					,   A					,   A ):
	UpperCAmelCase_		    =  a + h
	while x < (b - h):
		yield x
		UpperCAmelCase_		    =  x + h




def  A_(      A ):  # enter your function here
	UpperCAmelCase_		    =  (x - 0) * (x - 0)
	return y




def  A_(      ):
	UpperCAmelCase_		    =  0.0  # Lower bound of integration
	UpperCAmelCase_		    =  1.0  # Upper bound of integration
	UpperCAmelCase_		    =  10.0  # define number of steps or resolution
	UpperCAmelCase_		    =  [a, b]  # define boundary of integration
	UpperCAmelCase_		    =  method_a(__lowerCamelCase					,   __lowerCamelCase )
	print(f"""y = {y}""" )


if __name__ == "__main__":
				main()






from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE__       			=				{
    """configuration_markuplm""": ["""MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarkupLMConfig"""],
    """feature_extraction_markuplm""": ["""MarkupLMFeatureExtractor"""],
    """processing_markuplm""": ["""MarkupLMProcessor"""],
    """tokenization_markuplm""": ["""MarkupLMTokenizer"""],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__       			=				["""MarkupLMTokenizerFast"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__       			=				[
							    """MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """MarkupLMForQuestionAnswering""",
							    """MarkupLMForSequenceClassification""",
							    """MarkupLMForTokenClassification""",
							    """MarkupLMModel""",
							    """MarkupLMPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_markuplm import MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP, MarkupLMConfig
							from .feature_extraction_markuplm import MarkupLMFeatureExtractor
							from .processing_markuplm import MarkupLMProcessor
							from .tokenization_markuplm import MarkupLMTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_markuplm_fast import MarkupLMTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_markuplm import (
														    MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MarkupLMForQuestionAnswering,
														    MarkupLMForSequenceClassification,
														    MarkupLMForTokenClassification,
														    MarkupLMModel,
														    MarkupLMPreTrainedModel,
														)


else:
							import sys

							SCREAMING_SNAKE_CASE__       			=				_LazyModule(__name__, globals()["""__file__"""], _import_structure)

