code: def test_safetensors_flax_from_sharded_msgpack_with_sharded_safetensors_local(
      self,
  ):
      with tempfile.TemporaryDirectory() as tmp_dir:
          path = snapshot_download(
              "hf-internal-testing/tiny-bert-flax-safetensors-msgpack-sharded",
              cache_dir=tmp_dir,
          )
  
          # This should not raise even if there are two types of sharded weights
          FlaxBertModel.from_pretrained(path)
  
imports: import tempfile
  import unittest
  import numpy
  from huggingface_hub import HfFolder, delete_repo, snapshot_download
  from requests.exceptions import HTTPError
  from transformers import BertConfig, BertModel, is_flax_available, is_torch_available
  from transformers.testing_utils import TOKEN, USER, is_pt_flax_cross_test, is_staging_test, require_flax, require_safetensors, require_torch
  from transformers.utils import FLAX_WEIGHTS_NAME, SAFE_WEIGHTS_NAME
label_desc: Use image node_id 17 for calling the FlaxModelUtilsTest obj's underlying member method code with example usage: obj.test_safetensors_flax_from_sharded_msgpack_with_sharded_safetensors_local() without return types