code: def dummy_text_encoder(self):
      torch.manual_seed(0)
      config = CLIPTextConfig(
          bos_token_id=0,
          eos_token_id=2,
          hidden_size=self.text_embedder_hidden_size,
          projection_dim=self.text_embedder_hidden_size,
          intermediate_size=37,
          layer_norm_eps=1e-05,
          num_attention_heads=4,
          num_hidden_layers=5,
          pad_token_id=1,
          vocab_size=1000,
      )
      return CLIPTextModelWithProjection(config)
  
imports: import inspect
  import unittest
  import numpy
  import torch
  from torch import nn
  from transformers import CLIPImageProcessor, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer, CLIPVisionConfig, CLIPVisionModelWithProjection
  from diffusers import KandinskyV22PriorPipeline, PriorTransformer, UnCLIPScheduler
  from diffusers.utils.testing_utils import enable_full_determinism, skip_mps, torch_device
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 7 for calling the Dummies obj's underlying member method code with example usage: obj.dummy_text_encoder() and returns: CLIPTextModelWithProjection