code: def test_minmax_scale_axis1(setup):
      X = iris
      X_trans = minmax_scale(X, axis=1)
      assert_array_almost_equal(mt.min(X_trans, axis=1), 0)
      assert_array_almost_equal(mt.max(X_trans, axis=1), 1)
  
file_path: mars/mars/learn/preprocessing/tests/test_data.py
imports: import pytest
  from sklearn.datasets import load_iris
  from sklearn.utils import gen_batches
  from sklearn.utils._testing import assert_array_almost_equal, assert_allclose
  from ....None import tensor
  from ..None import MinMaxScaler, minmax_scale
label_desc: Use image node_id 6 for calling a global function with example usage: test_minmax_scale_axis1(setup) without return types