code: def prepare_config_and_inputs(self):
      pixel_values = floats_tensor(
          [
              self.batch_size,
              self.num_channels,
              self.image_size,
              self.image_size,
          ]
      )
      config = CLIPVisionConfig(
          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,
          dropout=self.dropout,
          attention_dropout=self.attention_dropout,
          initializer_range=self.initializer_range,
      )
  
      return config, pixel_values
  
imports: import inspect
  import tempfile
  import unittest
  import numpy
  import transformers
  from transformers import CLIPConfig, CLIPTextConfig, CLIPVisionConfig, is_flax_available, is_torch_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax, slow
  from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 2 for calling the FlaxCLIPVisionModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  pixel_values