code: def test_logistic_regression_input_type_consistency(
      constructor, dtype
  ):
      from cudf.core.frame import Frame
  
      X = constructor([[5, 10], [3, 1], [7, 8]]).astype(dtype)
      y = constructor([0, 1, 1]).astype(dtype)
      clf = cuLog().fit(X, y, convert_dtype=True)
  
      original_type = type(X)
      if constructor == cudf.DataFrame:
          original_type = Frame
  
      assert isinstance(clf.predict_proba(X), original_type)
      assert isinstance(clf.predict(X), original_type)
  
imports: from contextlib import nullcontext
  from distutils.version import LooseVersion
  from functools import lru_cache
  import pytest
  import sklearn
  from cuml.internals.array import elements_in_representable_range
  from cuml.internals.safe_imports import cpu_only_import, cpu_only_import_from, gpu_only_import
  from cuml.testing.strategies import regression_datasets, split_datasets, standard_classification_datasets, standard_regression_datasets
  from cuml.testing.utils import array_difference, array_equal, quality_param, small_classification_dataset, small_regression_dataset, stress_param, unit_param
  from hypothesis import assume, example, given, note
  from hypothesis import strategies
  from hypothesis import target
  from hypothesis.extra.numpy import floating_dtypes
  from sklearn.datasets import load_breast_cancer, load_digits, make_classification, make_regression
  from sklearn.linear_model import LinearRegression
  from sklearn.linear_model import LogisticRegression
  from sklearn.linear_model import Ridge
  from sklearn.model_selection import train_test_split
  from cuml import ElasticNet
  from cuml import LinearRegression
  from cuml import LogisticRegression
  from cuml import Ridge
label_desc: Use image node_id 22 for calling a global function with example usage: test_logistic_regression_input_type_consistency(constructor, dtype) without return types