code: def _root_scalar_newton_doc():
      r"""
      Options
      -------
      args : tuple, optional
          Extra arguments passed to the objective function and its derivative.
      xtol : float, optional
          Tolerance (absolute) for termination.
      rtol : float, optional
          Tolerance (relative) for termination.
      maxiter : int, optional
          Maximum number of iterations.
      x0 : float, required
          Initial guess.
      fprime : bool or callable, optional
          If `fprime` is a boolean and is True, `f` is assumed to return the
          value of derivative along with the objective function.
          `fprime` can also be a callable returning the derivative of `f`. In
          this case, it must accept the same arguments as `f`.
      options: dict, optional
          Specifies any method-specific options not covered above.
  
      """
      pass
  
file_path: catboost/contrib/python/scipy/py3/scipy/optimize/_root_scalar.py
imports: import numpy
  from .None import zeros
label_desc: Use image node_id 6 for calling a global function with example usage: _root_scalar_newton_doc() without return types