code: def positive_increasing(*shape, dtype=np.float32, bias=1e-7):
      """Returns a monotonically increasing ndarray for test inputs.
  
      Similar to `increasing` but contains only positive numbers. Expected
      to be used for `math.log`, `math.sqrt`, etc.
  
      Example:
  
      >>> onnx_chainer.testing.input_generator.positive_increasing(3, 4)
      array([[1.0000000e-07, 5.0000012e-01, 1.0000001e+00, 1.5000001e+00],
             [2.0000000e+00, 2.5000000e+00, 3.0000000e+00, 3.5000000e+00],
             [4.0000000e+00, 4.5000000e+00, 5.0000000e+00, 5.5000000e+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
      """
      return _increasing_impl(
          *shape, dtype=dtype, negative=False, bias=bias
      )
  
imports: import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: positive_increasing() and returns: _increasing_impl