code: def prepare_config_and_inputs(self):
      input_features = floats_tensor(
          [self.batch_size, self.num_mel_bins, self.seq_length]
      )
  
      config = self.get_config()
      inputs_dict = self.prepare_whisper_encoder_inputs_dict(
          input_features=input_features,
      )
      return config, inputs_dict
  
imports: import functools
  import inspect
  import tempfile
  import unittest
  import transformers
  from transformers import WhisperConfig, is_flax_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax, slow
  from transformers.utils import cached_property
  from transformers.utils.import_utils import is_datasets_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor
label_desc: Use image node_id 4 for calling the FlaxWhisperEncoderModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  inputs_dict