code: def nonzero_increasing(*shape, dtype=np.float32, bias=1e-7):
      """Returns a monotonically increasing ndarray for test inputs.
  
      Similar to `increasing` but contains no zeros. Expected to be used
      for divisors.
  
      Example:
  
      >>> onnx_chainer.testing.input_generator.nonzero_increasing(3, 4)
      array([[-3.0000000e+00, -2.5000000e+00, -1.9999999e+00, -1.4999999e+00],
             [-9.9999988e-01, -4.9999991e-01,  1.0000000e-07,  5.0000012e-01],
             [ 1.0000001e+00,  1.5000001e+00,  2.0000000e+00,  2.5000000e+00]],
            dtype=float32)
  
      Args:
          shape (tuple of int): The shape of the output array.
          dtype (numpy.dtype): The dtype of the output array.
          bias (float): The bias to avoid zero.
  
      Returns:
          numpy.ndarray
      """
      assert dtype in (np.float32, np.float64)
      return _increasing_impl(*shape, dtype=dtype, bias=bias)
  
imports: import numpy
label_desc: Use image node_id 4 for calling a global function with example usage: nonzero_increasing() and returns: _increasing_impl