code: def test_fast__create_analyzers():
      """
      Test 'innvestigate.create_analyzer':
      Instantiate analyzers by name using a placeholder Keras model.
      """
  
      fake_model = kmodels.Sequential(
          [klayers.Dense(10, input_shape=(10,))]
      )
      for name in analyzers:
          try:
              create_analyzer(name, fake_model)
          except KeyError:
              print("Key not found when creating analyzer from name.")
          except Exception:
              logging.error(
                  "Error when creating analyzer from name.",
                  exc_info=True,
              )
  
file_path: innvestigate/tests/analyzer/test_init.py
imports: from __future__ import annotations
  import logging
  import pytest
  import tensorflow.keras.layers
  import tensorflow.keras.models
  from innvestigate import create_analyzer
  from innvestigate.analyzer import analyzers
label_desc: Use image node_id 1 for calling a global function with example usage: test_fast__create_analyzers() without return types