code: def prepare_config_and_inputs(self):
      pixel_values = floats_tensor(
          [
              self.batch_size,
              self.num_channels,
              self.image_size,
              self.image_size,
          ]
      )
  
      labels = None
      if self.use_labels:
          labels = ids_tensor(
              [self.batch_size], self.type_sequence_label_size
          )
  
      config = BeitConfig(
          vocab_size=self.vocab_size,
          image_size=self.image_size,
          patch_size=self.patch_size,
          num_channels=self.num_channels,
          hidden_size=self.hidden_size,
          num_hidden_layers=self.num_hidden_layers,
          num_attention_heads=self.num_attention_heads,
          intermediate_size=self.intermediate_size,
          hidden_act=self.hidden_act,
          hidden_dropout_prob=self.hidden_dropout_prob,
          attention_probs_dropout_prob=self.attention_probs_dropout_prob,
          is_decoder=False,
          initializer_range=self.initializer_range,
      )
  
      return config, pixel_values, labels
  
imports: import inspect
  import unittest
  import numpy
  from transformers import BeitConfig
  from transformers.testing_utils import require_flax, require_vision, slow
  from transformers.utils import cached_property, is_flax_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 2 for calling the FlaxBeitModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  pixel_values,  labels