code: def normal(loc=0.0, scale=1.0, size=None, dtype=float):
      """Returns an array of normally distributed samples.
  
      Args:
          loc (float or array_like of floats): Mean of the normal distribution.
          scale (float or array_like of floats):
              Standard deviation of the normal distribution.
          size (int or tuple of ints): The shape of the array. If ``None``, a
              zero-dimensional array is generated.
          dtype: Data type specifier. Only :class:`numpy.float32` and
              :class:`numpy.float64` types are allowed.
  
      Returns:
          cupy.ndarray: Normally distributed samples.
  
      .. seealso:: :func:`numpy.random.normal`
  
      """
      rs = _generator.get_random_state()
      return rs.normal(loc, scale, size, dtype)
  
imports: from cupy.random import _generator
  from cupy import _util
label_desc: Use image node_id 17 for calling a global function with example usage: normal(loc, scale, size, dtype) and returns: rs