How to use the dill.dumps function in dill

def pytest_configure_node(node):
    """
    Configure node of tests.

    :param node: _pytest.nodes.Node
    :return: pickle of RPService
    """
    if node.config._reportportal_configured is False:
        # Stop now if the plugin is not properly configured
        return
    node.slaveinput['py_test_service'] = pickle.dumps(node.config.
                                                      py_test_service)

def _add_item(self, key, item):
        '''Add an item to its queue list according to  its key type.

        The operations are not performed in a transaction because the initial `incr` is atomic and
        reserves an id, after which the order of the following operations is not important nor
        required to be atomic The only benefit of a transaction would be to improve performance,
        however it would imply `watch`-ing the item_id operation and re-trying until everything is
        atomic, which could actually result in a loss of performance.
        '''
        # Get new item id as incremental integer
        item_id = self._store.incr(self._make_key(key, self.K_COUNT))
        # Add pickled item to relevant list of items
        self._store.set(self._make_key(key, str(item_id)), dumps(item, byref=True))
        # Set jobs and results status in the stats
        if key in (self.K_JOBS, self.K_RESULTS):
            self._store.hset(self._make_stats_key(key, str(item_id)),
                             self.K_STATS_STATUS, JobStatuses.QUEUED.value)
            # For a job, also add it to the queued list
            if key == self.K_JOBS:
                self._store.rpush(self._make_list_key(key, JobStatuses.QUEUED), item_id)
        return item_id

def encode(self, sample):
        return dill.dumps(sample)

"""Pickle the functions that produce generator and steps and dump to disk

    Args:
        filename (str): Filename on disk to dump the function data
        train_func (function): Function to return train generator and #mini-batches
        train_data: Input to train_func
        val_func (function): Function to return val generator and #mini-batches
        val_data: Input to val_func
        test_func (function): Function to return test generator and #mini-batches
        test_data: Input to test_func

    Return:

    """
    if not os.path.exists(filename):
        data = {'train_func': dill.dumps(train_func, recurse=True),
                'train_data': train_data,
                'val_func': dill.dumps(val_func, recurse=True) if val_func is not None else None,
                'val_data': val_data,
                'test_func': dill.dumps(test_func, recurse=True) if test_func is not None else None,
                'test_data': test_data,
                'train_func_path': os.path.dirname(inspect.getabsfile(train_func)),
                'val_func_path': os.path.dirname(inspect.getabsfile(val_func)) if val_func is not None else None,
                'test_func_path': os.path.dirname(inspect.getabsfile(test_func)) if test_func is not None else None}

        with open(filename, 'wb') as fid:
            pickle.dump(data, fid)

    return

def send_to_scheduler(self, header, payload):
        log(self.address, 'Send to scheduler', header)
        if 'address' not in header:
            header['address'] = self.address
        header['timestamp'] = datetime.utcnow()
        header['loads'] = dill.loads
        self.socket.send_multipart([pickle.dumps(header), dill.dumps(payload)])

def __cache_save__(self, item):  # save 1 item to reduce overhead

        self.cache_fd[item] = pickle.dumps(self.lockerbox[item])
        self.cache_reopen()

        return True

def add_function(self, cond, name, func):
        """Add a new function that will be executed as a when intercepting
         packets.

        Parameters
        ----------
        cond : :obj:`str`
            Name of the condition set (preconditions, postconditions,
            executions).
        name : :obj:`str`
            Name to identify the function in the `Template`.
        func : :obj:`function`
            Pointer to a function.

        """
        fdump = dill.dumps(func)
        self._functions[cond][name] = fdump.hex()

def cudaworker(devices: str, exchange: str):
    os.environ['CUDA_VISIBLE_DEVICES'] = devices
    with open(exchange, 'rb') as buffer:
        package = buffer.read()
    # decode the package
    init_name, init_path, func, args, kwargs = dill.loads(package)
    # import stuff from init
    if init_name and init_path:
        init_spec = importlib.util.spec_from_file_location(init_name, init_path)
        init_module = importlib.util.module_from_spec(init_spec)
        init_spec.loader.exec_module(init_module)
        globals()[init_name] = init_module
    # run the function, encode the output and write to stdout
    output = func(*args, **kwargs)
    output_encoded = dill.dumps(output)
    with open(exchange, 'wb') as buffer:
        buffer.write(output_encoded)

def _dumpval(self, value): # lookup a value in the archive
          'convert to a value stored in the HDF file'
          if self.__state__['serialized']:
              protocol = self.__state__['protocol'] #XXX: fix at 0?
              if type(protocol) is str:
                  value = json.dumps(value).encode()
              else:
                  value = dill.dumps(value, protocol=protocol)
              return value if self.__state__['meta'] else [value]
          return value #XXX: or [value]? (so no scalars)
      def __asdict__(self):

else:
                chats.append(entity.id)

    if users and whitelistedUsers:
        count = 0
        usertext = ''
        for user in users:
            if user in whitelistedUsers:
                whitelistedUsers.remove(user)
                usertext += f" `{user}`"
                count = 1
            else:
                skipped.append(f"`{user}`")
        if count:
            if whitelistedUsers:
                redis.set('whitelist:users', dill.dumps(whitelistedUsers))
            else:
                redis.delete('whitelist:users')
            text += "**Un-whitelisted users:**\n" + usertext
            log += text
            await event.answer(
                text, log=None if chats else ("whitelist", text)
            )
    if chats and whitelistedChats:
        count = 0
        chattext = ''
        for chat in chats:
            if chat in whitelistedChats:
                whitelistedChats.remove(chat)
                chattext += f" `{chat}`"
                count = 1
            else: