code: def grid(kwargs):
      """Builds a mesh grid with given keyword arguments for this Config class.
      If the value is not a list, then it is considered fixed"""
  
      class MncDc:
          """This is because np.meshgrid does not always work properly..."""
  
          def __init__(self, a):
              self.a = a  # tuple!
  
          def __call__(self):
              return self.a
  
      def merge_dicts(*dicts):
          """
          Merges dictionaries recursively. Accepts also `None` and returns
          always a (possibly empty) dictionary
          """
          from functools import reduce
  
          def merge_two_dicts(x, y):
              z = x.copy()  # start with x's keys and values
              z.update(
                  y
              )  # modifies z with y's keys and values & returns None
              return z
  
          return reduce(
              lambda a, nd: merge_two_dicts(a, nd if nd else {}),
              dicts,
              {},
          )
  
      sin = OrderedDict(
          {k: v for k, v in kwargs.items() if isinstance(v, list)}
      )
      for k, v in sin.items():
          copy_v = []
          for e in v:
              copy_v.append(MncDc(e) if isinstance(e, tuple) else e)
          sin[k] = copy_v
  
      grd = np.array(
          np.meshgrid(*sin.values()), dtype=object
      ).T.reshape(-1, len(sin.values()))
      return [
          merge_dicts(
              {
                  k: v
                  for k, v in kwargs.items()
                  if not isinstance(v, list)
              },
              {
                  k: vv[i]() if isinstance(vv[i], MncDc) else vv[i]
                  for i, k in enumerate(sin)
              },
          )
          for vv in grd
      ]
  
imports: import os
  import pickle
  from collections import OrderedDict
  import numpy
  import torch
  import torch.nn
  import yaml
  from scipy import sparse
  from sklearn import preprocessing
  from graph4nlp.pytorch.data.data import GraphData
label_desc: Use image node_id 3 for calling a global function with example usage: grid(kwargs) and returns: unknown, reduce, self, z