code: def log(x: Union[Sequence[float], np.ndarray]) -> np.ndarray:
      """Compute element-wise log of a sequence of floats."""
      return np.log(np.array(x))
  
file_path: torchsde/diagnostics/utils.py
imports: import itertools
  import os
  import random
  import matplotlib.pyplot
  import numpy
  import torch
  from scipy import stats
  from torchsde.types import Optional, Tensor, Sequence, Union, Callable
label_desc: Use image node_id 5 for calling a global function with example usage: log(x) and returns: np