




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__SCREAMING_SNAKE_CASE     : Any      ={
    'configuration_wav2vec2_conformer': [
        'WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Wav2Vec2ConformerConfig',
    ],
}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __SCREAMING_SNAKE_CASE     : List[Any]      =[
          'WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
          'Wav2Vec2ConformerForAudioFrameClassification',
          'Wav2Vec2ConformerForCTC',
          'Wav2Vec2ConformerForPreTraining',
          'Wav2Vec2ConformerForSequenceClassification',
          'Wav2Vec2ConformerForXVector',
          'Wav2Vec2ConformerModel',
          'Wav2Vec2ConformerPreTrainedModel',
      ]

if TYPE_CHECKING:
      from .configuration_wavaveca_conformer import (
          WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
          WavaVecaConformerConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_wavaveca_conformer import (
                WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                WavaVecaConformerForAudioFrameClassification,
                WavaVecaConformerForCTC,
                WavaVecaConformerForPreTraining,
                WavaVecaConformerForSequenceClassification,
                WavaVecaConformerForXVector,
                WavaVecaConformerModel,
                WavaVecaConformerPreTrainedModel,
            )

else:
      import sys

      __SCREAMING_SNAKE_CASE     : int      =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






def  A					(				UpperCAmelCase	,	UpperCAmelCase					):
					# "Simpson Rule"
					# int(f) = delta_x/2 * (b-a)/3*(f1 + 4f2 + 2f_3 + ... + fn)
					_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(UpperCAmelCase	,	UpperCAmelCase	,	UpperCAmelCase					)
					_snake_case							:       str												= 0.0
					y += (h / 3.0) * f(UpperCAmelCase					)
					_snake_case							:       Tuple												= 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  A					(				UpperCAmelCase	,	UpperCAmelCase	,	UpperCAmelCase					):
					_snake_case							:       Union[str, Any]												= a + h
					while x < (b - h):
										yield x
										_snake_case							:       Optional[Any]												= x + h







def  A					(				UpperCAmelCase					):  # enter your function here
					_snake_case							:       Dict												= (x - 0) * (x - 0)
					return y







def  A					(				):
					_snake_case							:       int												= 0.0  # Lower bound of integration
					_snake_case							:       Union[str, Any]												= 1.0  # Upper bound of integration
					_snake_case							:       List[str]												= 1_0.0  # define number of steps or resolution
					_snake_case							:       Optional[int]												= [a, b]  # define boundary of integration
					_snake_case							:       List[str]												= method_a(UpperCAmelCase	,	UpperCAmelCase					)
					print(F"""y = {y}"""					)


if __name__ == "__main__":
							main()