code: def test_unimodality():
      """Test for unimdality operator"""
      tensor = T.tensor(np.random.rand(10, 10))
      tensor_unimodal = unimodality_prox(tensor)
      for i in range(10):
          max_location = T.argmax(tensor_unimodal[:, i])
          if max_location == 0:
              assert_(
                  np.all(np.diff(tensor_unimodal[:, i], axis=0) <= 0)
              )
          elif max_location == (T.shape(tensor)[0] - 1):
              assert_(
                  np.all(np.diff(tensor_unimodal[:, i], axis=0) >= 0)
              )
          else:
              assert_(
                  np.all(
                      np.diff(
                          tensor_unimodal[: int(max_location), i],
                          axis=0,
                      )
                      >= 0
                  )
              )
              assert_(
                  np.all(
                      np.diff(
                          tensor_unimodal[int(max_location) :, i],
                          axis=0,
                      )
                      <= 0
                  )
              )
  
imports: import numpy
  from ...None import backend
  from ..proximal import svd_thresholding, smoothness_prox, soft_thresholding, hals_nnls, fista, active_set_nnls, procrustes, hard_thresholding, soft_sparsity_prox, simplex_prox, normalized_sparsity_prox, monotonicity_prox, unimodality_prox, l2_prox, l2_square_prox, admm
  from ...testing import assert_, assert_array_equal, assert_array_almost_equal
  from tensorly import tensor_to_vec, truncated_svd
  import pytest
label_desc: Use image node_id 7 for calling a global function with example usage: test_unimodality() without return types