code: def test_single_column_no_mix():
      # Arrange
      data = {"col1": ["foo", "bar", "cat"]}
      dataframe = pd.DataFrame(data=data)
      # Act
      result = MixedDataTypes().run(dataframe)
      # Assert
      assert_that(result.value, equal_to({"col1": {}}))
  
imports: import numpy
  import pandas
  from hamcrest import assert_that, calling, close_to, equal_to, greater_than, has_entries, has_entry, has_items, has_length, raises
  from deepchecks.core import ConditionCategory
  from deepchecks.core.errors import DeepchecksValueError
  from deepchecks.tabular.checks.data_integrity.mixed_data_types import MixedDataTypes
  from deepchecks.tabular.dataset import Dataset
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 1 for calling a global function with example usage: test_single_column_no_mix() without return types