code: def cast_scalar_to_array(shape, value, dtype=None):
      
  
      if dtype is None:
          dtype, fill_value = infer_dtype_from_scalar(value)
      else:
          fill_value = value
  
      values = np.empty(shape, dtype=dtype)
      values.fill(fill_value)
  
      return values
docs: create np.ndarray of specified shape and dtype, filled with values
  
      Parameters
      ----------
      shape : tuple
      value : scalar value
      dtype : np.dtype, optional
          dtype to coerce
  
      Returns
      -------
      ndarray of shape, filled with value, of specified / inferred dtype