class_docstr: Apply a user-defined transform (callable) to the signal.
code: def apply(self, samples: NDArray[np.float32], sample_rate: int):
      return self.transform(samples, sample_rate, **self.kwargs)
  
file_path: audiomentations/audiomentations/augmentations/lambda_transform.py
imports: from typing import Callable
  import numpy
  from numpy.typing import NDArray
  from audiomentations.core.transforms_interface import BaseWaveformTransform
label_desc: Use image node_id 2 for calling the Lambda obj's underlying member method code with example usage: obj.apply(samples, sample_rate) and returns: self