docstr: Test pad for even footprints in 2D
code: def test_pad_even(self):
      "Test pad for even footprints in 2D"
      input = numpy.asarray([[1, 3, 4], [2, 2, 2]])
      size = (2, 3)
  
      expected = numpy.asarray(
          [[3, 1, 3, 4, 3], [2, 2, 2, 2, 2], [3, 1, 3, 4, 3]]
      )
      result = pad(input=input, size=size, mode="mirror")
      self.assertTrue(numpy.all(result == expected))
  
      expected = numpy.asarray(
          [[1, 1, 3, 4, 4], [2, 2, 2, 2, 2], [2, 2, 2, 2, 2]]
      )
      result = pad(input=input, size=size, mode="reflect")
      self.assertTrue(numpy.all(result == expected))
  
      expected = numpy.asarray(
          [[4, 1, 3, 4, 1], [2, 2, 2, 2, 2], [4, 1, 3, 4, 1]]
      )
      result = pad(input=input, size=size, mode="wrap")
      self.assertTrue(numpy.all(result == expected))
  
      expected = numpy.asarray(
          [[1, 1, 3, 4, 4], [2, 2, 2, 2, 2], [2, 2, 2, 2, 2]]
      )
      result = pad(input=input, size=size, mode="nearest")
      self.assertTrue(numpy.all(result == expected))
  
      expected = numpy.asarray(
          [[0, 1, 3, 4, 0], [0, 2, 2, 2, 0], [0, 0, 0, 0, 0]]
      )
      result = pad(input=input, size=size, mode="constant", cval=0)
      self.assertTrue(numpy.all(result == expected))
  
      expected = numpy.asarray(
          [[9, 1, 3, 4, 9], [9, 2, 2, 2, 9], [9, 9, 9, 9, 9]]
      )
      result = pad(input=input, size=size, mode="constant", cval=9)
      self.assertTrue(numpy.all(result == expected))
  
file_path: medpy/tests/filter_/utilities.py
imports: import unittest
  import numpy
  from medpy.filter import pad
label_desc: Use image node_id 4 for calling the TestUtilities obj's underlying member method code with example usage: obj.test_pad_even() without return types