old_contents: # Copyright 2018 D-Wave Systems Inc.
  #
  #    Licensed under the Apache License, Version 2.0 (the "License");
  #    you may not use this file except in compliance with the License.
  #    You may obtain a copy of the License at
  #
  #        http://www.apache.org/licenses/LICENSE-2.0
  #
  #    Unless required by applicable law or agreed to in writing, software
  #    distributed under the License is distributed on an "AS IS" BASIS,
  #    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  #    See the License for the specific language governing permissions and
  #    limitations under the License.
  
  import unittest
  import json
  
  import numpy as np
  
  try:
      import simplejson
  except ImportError:
      _simplejson = False
  else:
      _simplejson = True
  
  import dimod
  
  from dimod.serialization.json import DimodEncoder, DimodDecoder, dimod_object_hook
  
  
  class TestEncode(unittest.TestCase):
      def test_builtin(self):
          # non-dimod objects
          obj = [0, 'a', [0, 'a']]
  
          # shouldn't be any different than without the encoder
          self.assertEqual(json.dumps(obj), json.dumps(obj, cls=DimodEncoder))
  
  
  class TestDecoder(unittest.TestCase):
      def test_builtin(self):
          # non-dimod objects
          s = '[0, "a", [0, "a"]]'
  
          # shouldn't be any different than without the encoder
          self.assertEqual(json.loads(s), json.loads(s, cls=DimodDecoder))
  
  
  class TestFunctional(unittest.TestCase):
      def test_builtin(self):
          # non-dimod objects
          obj = [0, 'a', [0, 'a']]
  
          new = json.loads(json.dumps(obj, cls=DimodEncoder), cls=DimodDecoder)
          self.assertEqual(obj, new)
  
      def test_sampleset_empty(self):
          obj = dimod.SampleSet.from_samples([], dimod.SPIN, energy=[])
  
          new = json.loads(json.dumps(obj, cls=DimodEncoder), cls=DimodDecoder)
          self.assertEqual(obj, new)
  
      def test_sampleset_triu(self):
          num_variables = 100
          num_samples = 100
          samples = 2*np.triu(np.ones((num_samples, num_variables)), -4) - 1
          bqm = dimod.BinaryQuadraticModel.from_ising({v: .1*v for v in range(num_variables)}, {})
          obj = dimod.SampleSet.from_samples_bqm(samples, bqm)
  
          new = json.loads(json.dumps(obj, cls=DimodEncoder), cls=DimodDecoder)
          self.assertEqual(obj, new)
  
new_contents: # Copyright 2018 D-Wave Systems Inc.
  #
  #    Licensed under the Apache License, Version 2.0 (the "License");
  #    you may not use this file except in compliance with the License.
  #    You may obtain a copy of the License at
  #
  #        http://www.apache.org/licenses/LICENSE-2.0
  #
  #    Unless required by applicable law or agreed to in writing, software
  #    distributed under the License is distributed on an "AS IS" BASIS,
  #    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  #    See the License for the specific language governing permissions and
  #    limitations under the License.
  
  import unittest
  import json
  
  import numpy as np
  
  try:
      import simplejson
  except ImportError:
      _simplejson = False
  else:
      _simplejson = True
  
  import dimod
  
  from dimod.serialization.json import DimodEncoder, DimodDecoder, dimod_object_hook
  
  
  class TestEncode(unittest.TestCase):
      def test_builtin(self):
          # non-dimod objects
          obj = [0, 'a', [0, 'a']]
  
          # shouldn't be any different than without the encoder
          self.assertEqual(json.dumps(obj), json.dumps(obj, cls=DimodEncoder))
  
  
  class TestDecoder(unittest.TestCase):
      def test_builtin(self):
          # non-dimod objects
          s = '[0, "a", [0, "a"]]'
  
          # shouldn't be any different than without the encoder
          self.assertEqual(json.loads(s), json.loads(s, cls=DimodDecoder))
  
  
  class TestFunctional(unittest.TestCase):
      def test_builtin(self):
          # non-dimod objects
          obj = [0, 'a', [0, 'a']]
  
          new = json.loads(json.dumps(obj, cls=DimodEncoder), cls=DimodDecoder)
          self.assertEqual(obj, new)
  
      def test_sampleset_empty(self):
          obj = dimod.SampleSet.from_samples([], dimod.SPIN, energy=[])
  
          new = json.loads(json.dumps(obj, cls=DimodEncoder), cls=DimodDecoder)
          self.assertEqual(obj, new)
  
      def test_sampleset_triu(self):
          num_variables = 100
          num_samples = 100
          samples = 2*np.triu(np.ones((num_samples, num_variables)), -4) - 1
          bqm = dimod.BinaryQuadraticModel.from_ising({v: .1*v for v in range(num_variables)}, {})
          obj = dimod.SampleSet.from_samples_bqm(samples, bqm)
  
          new = json.loads(json.dumps(obj, cls=DimodEncoder), cls=DimodDecoder)
          self.assertEqual(obj, new)
  
      def test_bqm(self):
          num_variables = 100
          bqm = dimod.BinaryQuadraticModel.from_ising({v: .1*v for v in range(num_variables)}, {})
  
          new = json.loads(json.dumps(bqm.to_serializable(), cls=DimodEncoder), cls=DimodDecoder)
          self.assertEqual(bqm, new)
  
subject: add unit test