code: def random_sparse_vector():
      num_non_zero = int(SPARSE_VECTOR_SIZE * SPARSE_VECTOR_DENSITY)
      indices: List[int] = random.sample(
          range(SPARSE_VECTOR_SIZE), num_non_zero
      )
      values: List[float] = [
          round(random.random(), 6) for _ in range(num_non_zero)
      ]
      return {"indices": indices, "values": values}
  
file_path: qdrant/tests/consensus_tests/fixtures.py
imports: import random
  from typing import List
  import requests
  from consensus_tests.assertions import assert_http_ok
label_desc: Use image node_id 2 for calling a global function with example usage: random_sparse_vector() and returns: dict