code: def test_vector_dimension_limit():
      dim_max = 65536
  
      drop_collection(collection_name)
  
      response = request_with_validation(
          api="/collections/{collection_name}",
          method="PUT",
          path_params={"collection_name": collection_name},
          body={
              "vectors": {
                  "size": dim_max,
                  "distance": "Dot",
              },
          },
      )
      assert response.ok
  
      drop_collection(collection_name)
  
      response = request_with_validation(
          api="/collections/{collection_name}",
          method="PUT",
          path_params={"collection_name": collection_name},
          body={
              "vectors": {
                  "size": dim_max + 1,
                  "distance": "Dot",
              },
          },
      )
      assert not response.ok
      error = response.json()["status"]["error"]
      assert (
          error
          == f"Validation error in JSON body: [vectors.size: value {dim_max + 1} invalid, must be from 1 to {dim_max}]"
      )
  
      drop_collection(collection_name)
  
      response = request_with_validation(
          api="/collections/{collection_name}",
          method="PUT",
          path_params={"collection_name": collection_name},
          body={
              "vectors": {
                  "size": 1,
                  "distance": "Dot",
              },
          },
      )
      assert response.ok
  
      drop_collection(collection_name)
  
imports: import pytest
  from .helpers.collection_setup import drop_collection
  from .helpers.helpers import request_with_validation
label_desc: Use image node_id 2 for calling a global function with example usage: test_vector_dimension_limit() without return types