import importlib
import logging
from volttron.platform.agent import utils

_log = logging.getLogger(__name__)
utils.setup_logging()
__version__ = "0.1"

__all__ = ['Model']


class Model(object):
    def __init__(self, config, **kwargs):
        base_module = "volttron.pnnl.models."
        try:
            model_type = config["model_type"]
        except KeyError as e:
            _log.exception("Missing Model Type key: {}".format(e))
            raise e
        _file, model_type = model_type.split(".")
        module = importlib.import_module(base_module + _file)
        model_class = getattr(module, model_type)
        self.model = model_class(config, self)

    def get_q(self, _set, sched_index, market_index, occupied):
        q = self.model.predict(_set, sched_index, market_index, occupied)

import importlib
import logging
from volttron.platform.agent import utils

_log = logging.getLogger(__name__)
utils.setup_logging()
__version__ = "0.1"

__all__ = ['Model']


class Model(object):
    def __init__(self, config, **kwargs):
        base_module = "volttron.pnnl.models."
        try:
            model_type = config["model_type"]
        except KeyError as e:
            _log.exception("Missing Model Type key: {}".format(e))
            raise e
        _file, model_type = model_type.split(".")
        module = importlib.import_module(base_module + _file)
        model_class = getattr(module, model_type)
        self.model = model_class(config, self)

    def get_q(self, _set, sched_index, market_index, occupied):
        q = self.model.predict(_set, sched_index, market_index, occupied)
        return q

Add return statement to Model.get_q
Add return statement to Model.get_q

  import importlib
  import logging
  from volttron.platform.agent import utils
  
  _log = logging.getLogger(__name__)
  utils.setup_logging()
  __version__ = "0.1"
  
  __all__ = ['Model']
  
  
  class Model(object):
      def __init__(self, config, **kwargs):
          base_module = "volttron.pnnl.models."
          try:
              model_type = config["model_type"]
          except KeyError as e:
              _log.exception("Missing Model Type key: {}".format(e))
              raise e
          _file, model_type = model_type.split(".")
          module = importlib.import_module(base_module + _file)
          model_class = getattr(module, model_type)
          self.model = model_class(config, self)
  
      def get_q(self, _set, sched_index, market_index, occupied):
          q = self.model.predict(_set, sched_index, market_index, occupied)
+         return q
  
Add return statement to Model.get_q
## Code Before:
import importlib
import logging
from volttron.platform.agent import utils

_log = logging.getLogger(__name__)
utils.setup_logging()
__version__ = "0.1"

__all__ = ['Model']


class Model(object):
    def __init__(self, config, **kwargs):
        base_module = "volttron.pnnl.models."
        try:
            model_type = config["model_type"]
        except KeyError as e:
            _log.exception("Missing Model Type key: {}".format(e))
            raise e
        _file, model_type = model_type.split(".")
        module = importlib.import_module(base_module + _file)
        model_class = getattr(module, model_type)
        self.model = model_class(config, self)

    def get_q(self, _set, sched_index, market_index, occupied):
        q = self.model.predict(_set, sched_index, market_index, occupied)

## Instruction:
Add return statement to Model.get_q
## Code After:
import importlib
import logging
from volttron.platform.agent import utils

_log = logging.getLogger(__name__)
utils.setup_logging()
__version__ = "0.1"

__all__ = ['Model']


class Model(object):
    def __init__(self, config, **kwargs):
        base_module = "volttron.pnnl.models."
        try:
            model_type = config["model_type"]
        except KeyError as e:
            _log.exception("Missing Model Type key: {}".format(e))
            raise e
        _file, model_type = model_type.split(".")
        module = importlib.import_module(base_module + _file)
        model_class = getattr(module, model_type)
        self.model = model_class(config, self)

    def get_q(self, _set, sched_index, market_index, occupied):
        q = self.model.predict(_set, sched_index, market_index, occupied)
        return q
