code: def test_convert_input():
      """Test the conversions from dataframe to numpy.
  
      1. Pass a 2D numpy X, get a 3D numpy X
      2. Pass a 3D numpy X, get a 3D numpy X
      3. Pass a pandas numpy X, equal length, get a 3D numpy X
      4. Pass a pd.Series y, get a pd.Series back
      5. Pass a np.ndarray y, get a pd.Series back
      """
  
      def _internal_convert(X, y=None):
          return BaseClassifier._internal_convert(None, X, y)
  
      cases = 5
      length = 10
      test_X1 = np.random.uniform(-1, 1, size=(cases, length))
      test_X2 = np.random.uniform(-1, 1, size=(cases, 2, length))
      tester = _DummyClassifier()
      tempX = tester._convert_X(test_X2, "numpy3D")
      assert (
          tempX.shape[0] == cases
          and tempX.shape[1] == 2
          and tempX.shape[2] == length
      )
      instance_list = []
      for _ in range(0, cases):
          instance_list.append(pd.Series(np.random.randn(10)))
      test_X3 = _create_example_dataframe(
          cases=cases, dimensions=1, length=length
      )
      test_X4 = _create_example_dataframe(
          cases=cases, dimensions=3, length=length
      )
      tempX = tester._convert_X(test_X3, "nested_univ")
      assert (
          tempX.shape[0] == cases
          and tempX.shape[1] == 1
          and tempX.shape[2] == length
      )
      tempX = tester._convert_X(test_X4, "nested_univ")
      assert (
          tempX.shape[0] == cases
          and tempX.shape[1] == 3
          and tempX.shape[2] == length
      )
      tester = _DummyConvertPandas()
      tempX = tester._convert_X(test_X2, "numpy3D")
      assert isinstance(tempX, pd.DataFrame)
      assert tempX.shape[0] == cases
      assert tempX.shape[1] == 2
      test_y1 = np.random.randint(0, 1, size=(cases))
      test_y1 = pd.Series(test_y1)
      tempX, tempY = _internal_convert(test_X1, test_y1)
      assert isinstance(tempY, pd.Series)
      assert isinstance(tempX, np.ndarray)
      assert tempX.ndim == 3
  
imports: import pickle
  import numpy
  import pandas
  import pytest
  from sklearn.model_selection import KFold
  from sktime.classification.base import BaseClassifier
  from sktime.classification.deep_learning.base import BaseDeepClassifier
  from sktime.classification.distance_based import KNeighborsTimeSeriesClassifier
  from sktime.classification.dummy import DummyClassifier
  from sktime.utils._testing.estimator_checks import _assert_array_almost_equal
  from sktime.utils._testing.panel import _make_classification_y, _make_panel, make_classification_problem
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 3 for calling a global function with example usage: test_convert_input() and returns: BaseClassifier