code: def _check_clip_x(x, bounds):
      if (x < bounds[0]).any() or (x > bounds[1]).any():
          warnings.warn(
              "Values in x were outside bounds during a "
              "minimize step, clipping to bounds",
              RuntimeWarning,
          )
          x = np.clip(x, bounds[0], bounds[1])
          return x
  
      return x
  
imports: import warnings
  import sys
  from numpy import atleast_1d, eye, argmin, zeros, shape, squeeze, asarray, sqrt, Inf, asfarray, isinf
  import numpy
  from .linesearch import line_search_wolfe1, line_search_wolfe2, line_search_wolfe2, LineSearchWarning
  from ._numdiff import approx_derivative
  from scipy._lib._util import getfullargspec_no_self
  from scipy._lib._util import MapWrapper
  from scipy.optimize._differentiable_functions import ScalarFunction, FD_METHODS
label_desc: Use image node_id 6 for calling a global function with example usage: _check_clip_x(x, bounds) and returns: x, x