code: def _npPad(self, inp, paddings, mode, constant_values=0):
      mode = mode.lower()
      if mode == "constant":
          return np.pad(
              inp, paddings, mode=mode, constant_values=constant_values
          )
      else:
          return np.pad(inp, paddings, mode=mode)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the PadOpTest obj's underlying member method code with example usage: obj._npPad(inp, paddings, mode, constant_values) and returns: np, np