code: def test_tv1_denoise():
      # test the prox of TV1D
      # since its not trivial to check the KKT conditions
      # we check that the proximal point algorithm converges
      # to a solution to the TV minimization
      n_iter = 100
      n_features = 100
  
      # repeat the test 10 times
      for nrun in range(10):
          x = np.random.randn(n_features)
          for _ in range(n_iter):
              prox_fast.prox_tv1d(x, 1.0)
          # check that the solution is flat
          np.testing.assert_allclose(x, x.mean() * np.ones(n_features))
  
imports: import numpy
  import pytest
  from lightning.impl import prox_fast
label_desc: Use image node_id 1 for calling a global function with example usage: test_tv1_denoise() without return types