code: def test_track_scalar():
      bool_value = False
      float_value = 1.1
      int_value = 1
      str_value = "wandb"
      set_value = {1, 2, 3}
      list_value = [4, 5, 6]
      dict_value = {
          "bool": bool_value,
          "float": float_value,
          "int": int_value,
          "str": str_value,
          "set": set_value,
          "list": list_value,
      }
  
      assert wandb_track("bool", bool_value, testing=True) == "scalar"
      assert wandb_track("float", float_value, testing=True) == "scalar"
      assert wandb_track("int", int_value, testing=True) == "scalar"
      assert wandb_track("str", str_value, testing=True) == "scalar"
      assert wandb_track("set", set_value, testing=True) == "scalar"
      assert wandb_track("list", list_value, testing=True) == "scalar"
      assert wandb_track("dict", dict_value, testing=True) == "scalar"
  
file_path: wandb/tests/pytest_tests/unit_tests/test_metaflow.py
imports: import platform
  from pathlib import Path
  import pytest
  import pandas
  from metaflow import FlowSpec, step
  from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier
  from wandb.integration.metaflow import wandb_log, wandb_track, wandb_use
label_desc: Use image node_id 9 for calling a global function with example usage: test_track_scalar() without return types