code: def fake_dataloaders(a=2, b=3, bs=16, n=10):
      def get_data(n):
          x = torch.randn(bs * n, 1)
          return torch.cat(
              (x, a * x + b + 0.1 * torch.randn(bs * n, 1)), 1
          )
  
      ds = get_data(n)
      dblock = DataBlock()
      return dblock.dataloaders(ds)
  
file_path: huggingface_hub/tests/test_fastai_integration.py
imports: import os
  from unittest import TestCase, skip
  from huggingface_hub import HfApi
  from huggingface_hub.fastai_utils import _save_pretrained_fastai, from_pretrained_fastai, push_to_hub_fastai
  from huggingface_hub.utils import SoftTemporaryDirectory, is_fastai_available, is_fastcore_available, is_torch_available
  from .testing_constants import ENDPOINT_STAGING, TOKEN, USER
  from .testing_utils import repo_name
label_desc: Use image node_id 2 for calling a global function with example usage: fake_dataloaders(a, b, bs, n) and returns: dblock, torch