code: def insert_vectors(
      collection_name="test_collection", count=2000, size=256
  ):
      ids = [x for x in range(count)]
      vectors = [
          [random.random() for _ in range(size)] for _ in range(count)
      ]
  
      batch_size = 1000
      start = 0
      end = 0
      while end < count:
          end = min(end + batch_size, count)
  
          response = request_with_validation(
              api="/collections/{collection_name}/points",
              method="PUT",
              path_params={"collection_name": collection_name},
              query_params={"wait": "true"},
              body={
                  "batch": {
                      "ids": ids[start:end],
                      "vectors": vectors[start:end],
                  }
              },
          )
          assert response.ok
  
          start += batch_size
  
file_path: qdrant/openapi/tests/openapi_integration/test_vector_config.py
imports: import random
  from time import sleep
  import pytest
  from .helpers.helpers import request_with_validation
  from .helpers.collection_setup import drop_collection
label_desc: Use image node_id 6 for calling a global function with example usage: insert_vectors(collection_name, count, size) without return types