code: def test_clip():
      # Test that clip can work with single arguments
      X = T.tensor([0.0, -1.0, 1.0])
      X_low = T.tensor([0.0, 0.0, 1.0])
      X_high = T.tensor([0.0, -1.0, 0.0])
      assert_array_equal(tl.clip(X, a_min=0.0), X_low)
      assert_array_equal(tl.clip(X, a_max=0.0), X_high)
  
      # More extensive test with a larger random tensor
      rng = tl.check_random_state(0)
      tensor = tl.tensor(
          rng.random_sample((10, 10, 10)).astype("float32")
      )
  
      val1 = np.float32(rng.random_sample())
      val2 = np.float32(rng.random_sample())
      limits = [
          (min(val1, val2), max(val1, val2)),
          (-1, 2),
          (tl.max(tensor) + 1, None),
          (None, tl.min(tensor) - 1),
          (tl.max(tensor), None),
          (tl.min(tensor), None),
          (None, tl.max(tensor)),
          (None, tl.min(tensor)),
      ]
  
      for min_val, max_val in limits:
          message = f"Tensor clipped incorrectly with min_val={min_val} and max_val={max_val}. Tensor bounds are ({tl.to_numpy(tl.min(tensor))}, {tl.to_numpy(tl.max(tensor))}"
          if min_val is not None:
              assert tl.all(
                  tl.clip(tensor, min_val, None) >= min_val
              ), message
              assert tl.all(
                  tl.clip(tensor, min_val, max_val) >= min_val
              ), message
          if max_val is not None:
              assert tl.all(
                  tl.clip(tensor, None, max_val) <= max_val
              ), message
              assert tl.all(
                  tl.clip(tensor, min_val, max_val) <= max_val
              ), message
  
imports: from concurrent.futures import ThreadPoolExecutor
  import pytest
  from time import time
  import numpy
  from scipy.linalg import svd
  from scipy import special
  import tensorly
  from ..None import backend
  from ..testing import assert_allclose, assert_array_equal, assert_equal, assert_, assert_array_almost_equal, assert_raises
  from tensorly.tenalg.svd import SVD_FUNS, svd_interface
label_desc: Use image node_id 11 for calling a global function with example usage: test_clip() without return types