code: def increasing(*shape, dtype=np.float32):
      """Returns a monotonically increasing ndarray for test inputs.
  
      The output will contain both zero, negative numbers, and non
      integer numbers for float dtypes. A test writer is supposed to
      consider this function first.
  
      Example:
  
      >>> onnx_chainer.testing.input_generator.increasing(3, 4)
      array([[-3. , -2.5, -2. , -1.5],
             [-1. , -0.5,  0. ,  0.5],
             [ 1. ,  1.5,  2. ,  2.5]], dtype=float32)
  
      Args:
          shape (tuple of int): The shape of the output array.
          dtype (numpy.dtype): The dtype of the output array.
  
      Returns:
          numpy.ndarray
      """
      return _increasing_impl(*shape, dtype=dtype)
  
imports: import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: increasing() and returns: _increasing_impl