code: def test_input_conversion_fit_predict(mtype):
      """Test that base class lets all Panel mtypes through."""
      y = _make_classification_y()
      X = _make_panel(return_mtype=mtype)
  
      clf = DummyClassifier()
      clf.fit(X, y)
      clf.predict(X)
  
      clf = _DummyConvertPandas()
      clf.fit(X, y)
      clf.predict(X)
  
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 8 for calling a global function with example usage: test_input_conversion_fit_predict(mtype) without return types