How to use the botocore.compat.OrderedDict function in botocore

def create_argument_table(self, arguments):
        if not arguments:
            return OrderedDict()
        argument_table = OrderedDict()
        for arg in arguments:
            if isinstance(arg, BaseCLIArgument):
                argument_table[arg.name] = arg
            else:
                argument_table[arg] = BaseCLIArgument(arg)
        return argument_table

def test_does_decode_template_body_in_order(self):
        expected_ordering = OrderedDict([
            ('TemplateVersion', 1.0),
            ('APropertyOfSomeKind', 'a value'),
            ('list', [1, 2, 3]),
            ('nested', OrderedDict([('key', 'value'),
                                    ('foo', 'bar')]))
        ])
        template_string = json.dumps(expected_ordering)
        parsed_response = {'TemplateBody': template_string}

        handlers.json_decode_template_body(parsed=parsed_response)
        result = parsed_response['TemplateBody']

        self.assertTrue(isinstance(result, OrderedDict))
        for element, expected_element in zip(result, expected_ordering):
            self.assertEqual(element, expected_element)

"input_token": "NextResult",
                    "output_token": "NextResult",
                    "limit_key": "MaxResults",
                    "result_key": "Biz"
                }
            }
        }

        self.example_json_model = {
            "version": 1,
            "examples": {
                "SampleOperation": [{
                    "id": "sample-id",
                    "title": "sample-title",
                    "description": "Sample Description.",
                    "input": OrderedDict([
                        ("Biz", "foo"),
                    ]),
                    "comments": {
                        "input": {
                            "Biz": "bar"
                        },

def test_update_existing(self):
        initial = OrderedDict([
            ("apiVersion", "v1"),
            ("clusters", [
                OrderedDict([
                    ("cluster", OrderedDict([
                        ("server", "endpoint")
                    ])),
                    ("name", "clustername")
                ])
            ]),
            ("contexts", []),
            ("current-context", None),
            ("kind", "Config"),
            ("preferences", OrderedDict()),
            ("users", [])
        ])
        cluster = OrderedDict([
            ("cluster", OrderedDict([
                ("certificate-authority-data", "data"),
                ("server", "endpoint")
            ])),
            ("name", "clustername")
        ])            
        correct = OrderedDict([
            ("apiVersion", "v1"),
            ("clusters", [
                OrderedDict([
                    ("cluster", OrderedDict([
                        ("certificate-authority-data", "data"),
                        ("server", "endpoint")

def create_command_table(self, commands, command_creator):
        if not commands:
            return OrderedDict()
        command_table = OrderedDict()
        for name, command in commands.items():
            if isinstance(command, CLICommand):
                # Already a valid command, no need to fake one
                command_table[name] = command
            else:
                command_table[name] = command_creator(name, command)
        return command_table

def test_update_existing(self):
        initial = OrderedDict([
            ("apiVersion", "v1"),
            ("clusters", [
                OrderedDict([
                    ("cluster", OrderedDict([
                        ("server", "endpoint")
                    ])),
                    ("name", "clustername")
                ])
            ]),
            ("contexts", []),
            ("current-context", None),
            ("kind", "Config"),
            ("preferences", OrderedDict()),
            ("users", [])
        ])
        cluster = OrderedDict([

def get_cluster_entry(self):
        """
        Return a cluster entry generated using
        the previously obtained description.
        """

        cert_data = self._get_cluster_description().get("certificateAuthority",
                                                        {"data": ""})["data"]
        endpoint = self._get_cluster_description().get("endpoint")
        arn = self._get_cluster_description().get("arn")

        return OrderedDict([
            ("cluster", OrderedDict([
                ("certificate-authority-data", cert_data),
                ("server", endpoint)
            ])),
            ("name", arn)
        ])

:param service_model: The service model

    :param paginator_config: The paginator config associated to a particular
        paginator.

    :param include_signature: Whether or not to include the signature.
        It is useful for generating docstrings.
    """
    # Retrieve the operation model of the underlying operation.
    operation_model = service_model.operation_model(
        paginator_name)

    # Add representations of the request and response parameters
    # we want to include in the description of the paginate method.
    # These are parameters we expose via the botocore interface.
    pagination_config_members = OrderedDict()

    pagination_config_members['MaxItems'] = DocumentedShape(
        name='MaxItems', type_name='integer',
        documentation=(
            '<p>The total number of items to return. If the total '
            'number of items available is more than the value '
            'specified in max-items then a <code>NextToken</code> '
            'will be provided in the output that you can use to '
            'resume pagination.</p>'))

    if paginator_config.get('limit_key', None):
        pagination_config_members['PageSize'] = DocumentedShape(
            name='PageSize', type_name='integer',
            documentation='<p>The size of each page.</p><p>')

    pagination_config_members['StartingToken'] = DocumentedShape(</p>

def _unpack_json_cli_arg(argument_model, value, cli_name):
    try:
        return json.loads(value, object_pairs_hook=OrderedDict)
    except ValueError as e:
        raise ParamError(
            cli_name, "Invalid JSON: %s\nJSON received: %s"
            % (e, value))

:param service_model: The service model

    :param paginator_config: The paginator config associated to a particular
        paginator.

    :param include_signature: Whether or not to include the signature.
        It is useful for generating docstrings.
    """
    # Retrieve the operation model of the underlying operation.
    operation_model = service_model.operation_model(
        paginator_name)

    # Add representations of the request and response parameters
    # we want to include in the description of the paginate method.
    # These are parameters we expose via the botocore interface.
    pagination_config_members = OrderedDict()

    pagination_config_members['MaxItems'] = DocumentedShape(
        name='MaxItems', type_name='integer',
        documentation=(
            '<p>The total number of items to return. If the total '
            'number of items available is more than the value '
            'specified in max-items then a <code>NextToken</code> '
            'will be provided in the output that you can use to '
            'resume pagination.</p>'))

    if paginator_config.get('limit_key', None):
        pagination_config_members['PageSize'] = DocumentedShape(
            name='PageSize', type_name='integer',
            documentation='<p>The size of each page.</p><p>')

    pagination_config_members['StartingToken'] = DocumentedShape(</p>