code: def _root_broyden2_doc():
      """
      Options
      -------
      nit : int, optional
          Number of iterations to make. If omitted (default), make as many
          as required to meet tolerances.
      disp : bool, optional
          Print status to stdout on every iteration.
      maxiter : int, optional
          Maximum number of iterations to make. If more are needed to
          meet convergence, `NoConvergence` is raised.
      ftol : float, optional
          Relative tolerance for the residual. If omitted, not used.
      fatol : float, optional
          Absolute tolerance (in max-norm) for the residual.
          If omitted, default is 6e-6.
      xtol : float, optional
          Relative minimum step size. If omitted, not used.
      xatol : float, optional
          Absolute minimum step size, as determined from the Jacobian
          approximation. If the step size is smaller than this, optimization
          is terminated as successful. If omitted, not used.
      tol_norm : function(vector) -> scalar, optional
          Norm to use in convergence check. Default is the maximum norm.
      line_search : {None, 'armijo' (default), 'wolfe'}, optional
          Which type of a line search to use to determine the step size in
          the direction given by the Jacobian approximation. Defaults to
          'armijo'.
      jac_options : dict, optional
          Options for the respective Jacobian approximation.
  
          alpha : float, optional
              Initial guess for the Jacobian is (-1/alpha).
          reduction_method : str or tuple, optional
              Method used in ensuring that the rank of the Broyden
              matrix stays low. Can either be a string giving the
              name of the method, or a tuple of the form ``(method,
              param1, param2, ...)`` that gives the name of the
              method and values for additional parameters.
  
              Methods available:
                  - ``restart``: drop all matrix columns. Has no
                      extra parameters.
                  - ``simple``: drop oldest matrix column. Has no
                      extra parameters.
                  - ``svd``: keep only the most significant SVD
                      components.
                    Extra parameters:
                        - ``to_retain``: number of SVD components to
                            retain when rank reduction is done.
                            Default is ``max_rank - 2``.
          max_rank : int, optional
              Maximum rank for the Broyden matrix.
              Default is infinity (ie., no rank reduction).
      """
      pass
  
file_path: catboost/contrib/python/scipy/py2/scipy/optimize/_root.py
imports: from __future__ import division, print_function, absolute_import
  import numpy
  from scipy._lib.six import callable
  from warnings import warn
  from .optimize import MemoizeJac, OptimizeResult, _check_unknown_options
  from .minpack import _root_hybr, leastsq
  from ._spectral import _root_df_sane
  from .None import nonlin
label_desc: Use image node_id 6 for calling a global function with example usage: _root_broyden2_doc() without return types