code: def test_all_with_any_reduction_axis_1(dtype, value):
      # Check that return value is False when there is no row equal to `value`
      X = np.arange(12, dtype=dtype).reshape(3, 4)
      assert not _all_with_any_reduction_axis_1(X, value=value)
  
      # Make a row equal to `value`
      X[1, :] = value
      assert _all_with_any_reduction_axis_1(X, value=value)
  
imports: import numpy
  import pytest
  from sklearn.utils._testing import assert_allclose
  from sklearn.utils.arrayfuncs import _all_with_any_reduction_axis_1, min_pos
label_desc: Use image node_id 3 for calling a global function with example usage: test_all_with_any_reduction_axis_1(dtype, value) without return types