code: def minkowski_distance(a: dict, b: dict, p: int):
      """Minkowski distance.
  
      Parameters
      ----------
      a
      b
      p
          Parameter for the Minkowski distance. When `p=1`, this is equivalent to using the
          Manhattan distance. When `p=2`, this is equivalent to using the Euclidean distance.
  
      """
      return sum(
          (abs(a.get(k, 0.0) - b.get(k, 0.0))) ** p
          for k in {*a.keys(), *b.keys()}
      ) ** (1 / p)
  
imports: from __future__ import annotations
  import functools
  import itertools
  import math
  import operator
  import numpy
  import scipy
label_desc: Use image node_id 4 for calling a global function with example usage: minkowski_distance(a, b, p) and returns: unknown