code: def _validate_wminkowski_kwargs(X, m, n, **kwargs):
      w = kwargs.pop("w", None)
      if w is None:
          raise ValueError(
              "weighted minkowski requires a weight "
              "vector `w` to be given."
          )
      kwargs["w"] = _validate_weights(w)
      if "p" not in kwargs:
          kwargs["p"] = 2.0
      return kwargs
  
imports: from __future__ import division, print_function, absolute_import
  import warnings
  import numpy
  from functools import partial
  from collections import namedtuple
  from scipy._lib.six import callable, string_types
  from scipy._lib.six import xrange
  from scipy._lib._util import _asarray_validated
  from .None import _distance_wrap
  from .None import _hausdorff
  from ..linalg import norm
  from ..special import rel_entr
label_desc: Use image node_id 16 for calling a global function with example usage: _validate_wminkowski_kwargs(X, m, n) and returns: kwargs