Instruction:
Create a Python 3 function for
setting up the argument parser with the required arguments

Response:
def setup_argument_parser():
    """Sets up teh parser with the required arguments

    :return: The parser object
    """
    default_config_path = filesystem.get_default_config_path()
    filesystem.create_path(default_config_path)

    parser = core_singletons.argument_parser
    parser.add_argument('-n', '--new', action='store_true', help=_("whether to create a new state-machine"))
    parser.add_argument('-o', '--open', action='store', nargs='*', type=parse_state_machine_path,
                        dest='state_machine_paths', metavar='path',
                        help=_("specify directories of state-machines that shall be opened. Paths must contain a "
                               "statemachine.json file"))
    parser.add_argument('-c', '--config', action='store', type=config_path, metavar='path', dest='config_path',
                        default=default_config_path, nargs='?', const=default_config_path,
                        help=_("path to the configuration file config.yaml. Use 'None' to prevent the generation of a "
                               "config file and use the default configuration. Default: {0}"
                               "").format(default_config_path))
    parser.add_argument('-g', '--gui_config', action='store', type=config_path, metavar='path', dest='gui_config_path',
                        default=default_config_path, nargs='?', const=default_config_path,
                        help=_("path to the configuration file gui_config.yaml. "
                               "Use 'None' to prevent the generation of a config file and use the default "
                               "configuration. Default: {0}").format(default_config_path))
    parser.add_argument('-ss', '--start_state_machine', dest='start_state_machine_flag', action='store_true',
                        help=_("a flag to specify if the first state machine of -o should be started after opening"))
    parser.add_argument('-s', '--start_state_path', metavar='path', dest='start_state_path', default=None, nargs='?',
                        help=_("path within a state machine to the state that should be launched which consists of "
                               "state ids e.g. QPOXGD/YVWJKZ where QPOXGD is the root state and YVWJKZ its child states"
                               " to start from."))
    parser.add_argument('-q', '--quit', dest='quit_flag', action='store_true',
                        help=_("a flag to specify if the gui should quit after launching a state machine"))
    return parser


Instruction:
Write a Python 3 function that can
call when the View was registered

Response:
def register_view(self, view):
        """Called when the View was registered"""
        super(ScopedVariableListController, self).register_view(view)

        view['name_col'].add_attribute(view['name_text'], 'text', self.NAME_STORAGE_ID)
        if not isinstance(self.model.state, LibraryState) and self.model.state.get_next_upper_library_root_state() is None:
            view['name_text'].set_property("editable", True)
        view['data_type_col'].add_attribute(view['data_type_text'], 'text', self.DATA_TYPE_NAME_STORAGE_ID)
        if not isinstance(self.model.state, LibraryState) and self.model.state.get_next_upper_library_root_state() is None:
            view['data_type_text'].set_property("editable", True)
        if isinstance(view, ScopedVariablesListView):
            view['default_value_col'].add_attribute(view['default_value_text'], 'text', self.DEFAULT_VALUE_STORAGE_ID)
            if not isinstance(self.model.state, LibraryState) and self.model.state.get_next_upper_library_root_state() is None:
                view['default_value_text'].set_property("editable", True)
            self._apply_value_on_edited_and_focus_out(view['default_value_text'],
                                                      self.apply_new_scoped_variable_default_value)

        self._apply_value_on_edited_and_focus_out(view['name_text'], self.apply_new_scoped_variable_name)
        self._apply_value_on_edited_and_focus_out(view['data_type_text'], self.apply_new_scoped_variable_type)

        if isinstance(self.model, ContainerStateModel):
            self.reload_scoped_variables_list_store()


Instruction:
How would you explain what the following Python 3 function does
def register_actions(self, shortcut_manager):
        shortcut_manager.add_callback_for_action("delete", self.remove_action_callback)
        shortcut_manager.add_callback_for_action("add", self.add_action_callback)
        shortcut_manager.add_callback_for_action("copy", self.copy_action_callback)
        shortcut_manager.add_callback_for_action("cut", self.cut_action_callback)
        shortcut_manager.add_callback_for_action("paste", self.paste_action_callback)

Response: Register callback methods for triggered actions


Instruction:
Can you generate a brief explanation for the following Python 3 code
def paste_action_callback(self, *event):
        if react_to_event(self.view, self.tree_view, event) and self.active_entry_widget is None:
            if not global_clipboard.model_copies["scoped_variables"] and \
                    (global_clipboard.model_copies["input_data_ports"] or
                     global_clipboard.model_copies["output_data_ports"]):
                global_clipboard.paste(self.model, limited=['scoped_variables'], convert=True)
            else:
                global_clipboard.paste(self.model, limited=['scoped_variables'])
            return True

Response: Callback method for paste action


Instruction:
Implement a function in Python 3 to
create a new scoped variable with default values

Response:
def on_add(self, widget, data=None):
        """Create a new scoped variable with default values"""
        if isinstance(self.model, ContainerStateModel):
            try:
                scoped_var_ids = gui_helper_state_machine.add_scoped_variable_to_selected_states(selected_states=[self.model])
                if scoped_var_ids:
                    self.select_entry(scoped_var_ids[self.model.state])
            except ValueError as e:
                logger.warning("The scoped variable couldn't be added: {0}".format(e))
                return False

            return True


Instruction:
Can you create a Python 3 function that
removes respective core element of handed scoped variable model

Response:
def remove_core_element(self, model):
        """Remove respective core element of handed scoped variable model

        :param ScopedVariableModel model: Scoped variable model which core element should be removed
        :return:
        """
        assert model.scoped_variable.parent is self.model.state
        gui_helper_state_machine.delete_core_element_of_model(model)


Instruction:
Can you create a Python 3 function that
applies the new name of the scoped variable defined by path to the new name.

Response:
def apply_new_scoped_variable_name(self, path, new_name):
        """Applies the new name of the scoped variable defined by path

        :param str path: The path identifying the edited variable
        :param str new_name: New name
        """
        data_port_id = self.list_store[path][self.ID_STORAGE_ID]
        try:
            if self.model.state.scoped_variables[data_port_id].name != new_name:
                self.model.state.scoped_variables[data_port_id].name = new_name
        except TypeError as e:
            logger.error("Error while changing port name: {0}".format(e))


Instruction:
Explain what the following Python 3 code does
def apply_new_scoped_variable_type(self, path, new_variable_type_str):
        data_port_id = self.list_store[path][self.ID_STORAGE_ID]
        try:
            if self.model.state.scoped_variables[data_port_id].data_type.__name__ != new_variable_type_str:
                self.model.state.scoped_variables[data_port_id].change_data_type(new_variable_type_str)
        except ValueError as e:
            logger.error("Error while changing data type: {0}".format(e))

Response: Applies the new data type of the scoped variable defined by path


Instruction:
Create a Python 3 function to
apply the new default value of the scoped variable defined by path

Response:
def apply_new_scoped_variable_default_value(self, path, new_default_value_str):
        """Applies the new default value of the scoped variable defined by path

        :param str path: The path identifying the edited variable
        :param str new_default_value_str: New default value as string
        """
        data_port_id = self.get_list_store_row_from_cursor_selection()[self.ID_STORAGE_ID]
        try:
            if str(self.model.state.scoped_variables[data_port_id].default_value) != new_default_value_str:
                self.model.state.scoped_variables[data_port_id].default_value = new_default_value_str
        except (TypeError, AttributeError) as e:
            logger.error("Error while changing default value: {0}".format(e))


Instruction:
Write a Python 3 function that can
reload the scoped variable list store from the data port models

Response:
def reload_scoped_variables_list_store(self):
        """Reloads the scoped variable list store from the data port models"""

        if isinstance(self.model, ContainerStateModel):
            tmp = self.get_new_list_store()
            for sv_model in self.model.scoped_variables:
                data_type = sv_model.scoped_variable.data_type
                # get name of type (e.g. ndarray)
                data_type_name = data_type.__name__
                # get module of type, e.g. numpy
                data_type_module = data_type.__module__
                # if the type is not a builtin type, also show the module
                if data_type_module not in ['__builtin__', 'builtins']:
                    data_type_name = data_type_module + '.' + data_type_name
                tmp.append([sv_model.scoped_variable.name, data_type_name,
                            str(sv_model.scoped_variable.default_value), sv_model.scoped_variable.data_port_id,
                                sv_model])
            tms = Gtk.TreeModelSort(model=tmp)
            tms.set_sort_column_id(0, Gtk.SortType.ASCENDING)
            tms.set_sort_func(0, compare_variables)
            tms.sort_column_changed()
            tmp = tms
            self.list_store.clear()
            for elem in tmp:
                self.list_store.append(elem[:])
        else:
            raise RuntimeError("The reload_scoped_variables_list_store function should be never called for "
                               "a non Container State Model")


Instruction:
Write a Python 3 function that can
store reference backup information for all open tabs into runtime config

Response:
def store_session():
    """ Stores reference backup information for all open tabs into runtime config

    The backup of never stored tabs (state machines) and not stored state machine changes will be triggered a last
    time to secure data lose.
    """
    from rafcon.gui.singleton import state_machine_manager_model, global_runtime_config
    from rafcon.gui.models.auto_backup import AutoBackupModel
    from rafcon.gui.models import AbstractStateModel
    from rafcon.gui.singleton import main_window_controller
    # check if there are dirty state machines -> use backup file structure maybe it is already stored
    for sm_m in state_machine_manager_model.state_machines.values():
        if sm_m.auto_backup:
            if sm_m.state_machine.marked_dirty:
                sm_m.auto_backup.perform_temp_storage()
        else:
            # generate a backup
            sm_m.auto_backup = AutoBackupModel(sm_m)

    # collect order of tab state machine ids from state machines editor and find selected state machine page number
    state_machines_editor_ctrl = main_window_controller.get_controller('state_machines_editor_ctrl')
    number_of_pages = state_machines_editor_ctrl.view['notebook'].get_n_pages()
    selected_page_number = None
    list_of_tab_meta = []
    for page_number in range(number_of_pages):
        page = state_machines_editor_ctrl.view['notebook'].get_nth_page(page_number)
        sm_id = state_machines_editor_ctrl.get_state_machine_id_for_page(page)
        if sm_id == state_machine_manager_model.selected_state_machine_id:
            selected_page_number = page_number

        # backup state machine selection
        selection_of_sm = []
        for model in state_machine_manager_model.state_machines[sm_id].selection.get_all():
            if isinstance(model, AbstractStateModel):
                # TODO extend to full range of selection -> see core_identifier action-module
                selection_of_sm.append(model.state.get_path())

        list_of_tab_meta.append({'backup_meta': state_machine_manager_model.state_machines[sm_id].auto_backup.meta,
                                 'selection': selection_of_sm})

    # store final state machine backup meta data to backup session tabs and selection for the next run
    global_runtime_config.set_config_value('open_tabs', list_of_tab_meta)
    global_runtime_config.set_config_value('selected_state_machine_page_number', selected_page_number)


Instruction:
Explain what the following Python 3 code does
def restore_session_from_runtime_config():
    # TODO add a dirty lock for a crashed rafcon instance also into backup session feature
    # TODO in case a dialog is needed to give the user control
    # TODO combine this and auto-backup in one structure/controller/observer
    from rafcon.gui.singleton import state_machine_manager_model, global_runtime_config, global_gui_config
    from rafcon.gui.models.auto_backup import recover_state_machine_from_backup
    from rafcon.gui.singleton import main_window_controller
    # check if session storage exists
    open_tabs = global_runtime_config.get_config_value('open_tabs', None)
    if open_tabs is None:
        logger.info("No session found for recovery")
        return

    # load and restore state machines like they were opened before
    open_sm = []
    for idx, tab_meta_dict in enumerate(open_tabs):
        start_time = time.time()
        backup_meta_dict = tab_meta_dict['backup_meta']
        from_backup_path = None
        open_sm.append(None)
        # TODO do this decision before storing or maybe store the last stored time in the auto backup?!
        # pick folder name dependent on time, and backup meta data existence
        # problem is that the backup time is maybe not the best choice
        if 'last_backup' in backup_meta_dict:
            last_backup_time = storage_utils.get_float_time_for_string(backup_meta_dict['last_backup']['time'])
            if 'last_saved' in backup_meta_dict:
                last_save_time = storage_utils.get_float_time_for_string(backup_meta_dict['last_saved']['time'])
                backup_marked_dirty = backup_meta_dict['last_backup']['marked_dirty']
                if last_backup_time > last_save_time and backup_marked_dirty:
                    from_backup_path = backup_meta_dict['last_backup']['file_system_path']
            else:
                from_backup_path = backup_meta_dict['last_backup']['file_system_path']
        elif 'last_saved' in backup_meta_dict:
            # print("### open last saved", sm_meta_dict['last_saved']['file_system_path'])
            pass
        else:
            logger.error("A tab was stored into session storage dictionary {0} without any recovery path"
                         "".format(backup_meta_dict))
            continue

        # check in case that the backup folder is valid or use last saved path
        if from_backup_path is not None and not os.path.isdir(from_backup_path):
            logger.warning("The backup of tab {0} from backup path {1} was not possible. "
                           "The last saved path will be used for recovery, which could result is loss of changes."
                           "".format(idx, from_backup_path))
            from_backup_path = None

        # open state machine
        if from_backup_path is not None:
            # open state machine, recover mark dirty flags, cleans dirty lock files
            logger.info("Restoring from backup {0}".format(from_backup_path))
            state_machine_m = recover_state_machine_from_backup(from_backup_path)
        else:
            if 'last_saved' not in backup_meta_dict or backup_meta_dict['last_saved']['file_system_path'] is None:
                continue
            path = backup_meta_dict['last_saved']['file_system_path']
            if not os.path.isdir(path):
                logger.warning("The tab can not be open. The backup of tab {0} from common path {1} was not "
                               "possible.".format(idx, path))
                continue
            # logger.info("backup from last saved", path, sm_meta_dict)
            state_machine = storage.load_state_machine_from_path(path)
            state_machine_manager_model.state_machine_manager.add_state_machine(state_machine)
            wait_for_gui()
            state_machine_m = state_machine_manager_model.state_machines[state_machine.state_machine_id]

        duration = time.time() - start_time
        stat = state_machine_m.state_machine.root_state.get_states_statistics(0)
        logger.info("It took {0:.3}s to restore {1} states with {2} hierarchy levels.".format(duration, stat[0], stat[1]))

        open_sm[idx] = state_machine_m

    global_runtime_config.extend_recently_opened_by_current_open_state_machines()

    wait_for_gui()

    # restore all state machine selections separate to avoid states-editor and state editor creation problems
    for idx, tab_meta_dict in enumerate(open_tabs):
        state_machine_m = open_sm[idx]
        if state_machine_m is None:  # state machine could not be open
            return

        # restore state machine selection
        selected_model_set = []
        for core_element_identifier in tab_meta_dict['selection']:
            selected_model_set.append(state_machine_m.get_state_model_by_path(core_element_identifier))
        state_machine_m.selection.set(selected_model_set)

    # restore backup-ed tab selection
    selected_page_number = global_runtime_config.get_config_value('selected_state_machine_page_number', None)
    if selected_page_number is not None:
        selected_state_machine_page_number = selected_page_number
        if selected_state_machine_page_number is None:
            return
        state_machines_editor_ctrl = main_window_controller.get_controller('state_machines_editor_ctrl')
        if not state_machines_editor_ctrl.view['notebook'].get_n_pages() >= selected_page_number:
            logger.warning("Page id {0} does not exist so session restore can not re-create selection."
                           "".format(selected_page_number))
            return
        notebook = state_machines_editor_ctrl.view['notebook']
        page = state_machines_editor_ctrl.on_switch_page(notebook, None, selected_page_number)
        selected_sm_id = state_machine_manager_model.selected_state_machine_id
        if not selected_sm_id == state_machines_editor_ctrl.get_state_machine_id_for_page(page):
            logger.warning("Selection of page was not set correctly so session restore can not re-create selection.")
            return

Response: Restore stored tabs from runtime config


Instruction:
Make a summary of the following Python 3 code
def add_logging_level(level_name, level_num, method_name=None):
    if not method_name:
        method_name = level_name.lower()

    if hasattr(logging, level_name):
        raise AttributeError('{} already defined in logging module'.format(level_name))
    if hasattr(logging, method_name):
        raise AttributeError('{} already defined in logging module'.format(method_name))
    if hasattr(logging.getLoggerClass(), method_name):
        raise AttributeError('{} already defined in logger class'.format(method_name))

    # This method was inspired by the answers to Stack Overflow post
    # http://stackoverflow.com/q/2183233/2988730, especially
    # http://stackoverflow.com/a/13638084/2988730
    def log_for_level(self, message, *args, **kwargs):
        if self.isEnabledFor(level_num):
            self._log(level_num, message, args, **kwargs)
    def log_to_root(message, *args, **kwargs):
        logging.log(level_num, message, *args, **kwargs)

    logging.addLevelName(level_num, level_name)
    setattr(logging, level_name, level_num)
    setattr(logging.getLoggerClass(), method_name, log_for_level)
    setattr(logging, method_name, log_to_root)

Response: Add a new logging level to the logging module and the currently configured logging class.


Instruction:
Can you generate a brief explanation for the following Python 3 code
def get_logger(name):
    if name in existing_loggers:
        return existing_loggers[name]

    # Ensure that all logger are within the RAFCON root namespace
    namespace = name if name.startswith(rafcon_root + ".") else rafcon_root + "." + name
    logger = logging.getLogger(namespace)
    logger.propagate = True
    existing_loggers[name] = logger

    return logger

Response: Returns a logger object with the given name


Instruction:
Can you implement a function in Python 3 that
opens a state machine from respective file system path.

Response:
def open_state_machine(path=None, recent_opened_notification=False):
    """ Open a state machine from respective file system path

    :param str path: file system path to the state machine
    :param bool recent_opened_notification: flags that indicates that this call also should update recently open

    :rtype rafcon.core.state_machine.StateMachine
    :return: opened state machine
    """
    start_time = time.time()
    if path is None:
        if interface.open_folder_func is None:
            logger.error("No function defined for opening a folder")
            return
        load_path = interface.open_folder_func("Please choose the folder of the state machine")
        if load_path is None:
            return
    else:
        load_path = path

    if state_machine_manager.is_state_machine_open(load_path):
        logger.info("State machine already open. Select state machine instance from path {0}.".format(load_path))
        sm = state_machine_manager.get_open_state_machine_of_file_system_path(load_path)
        gui_helper_state.gui_singletons.state_machine_manager_model.selected_state_machine_id = sm.state_machine_id
        return state_machine_manager.get_open_state_machine_of_file_system_path(load_path)

    state_machine = None
    try:
        state_machine = storage.load_state_machine_from_path(load_path)
        state_machine_manager.add_state_machine(state_machine)
        if recent_opened_notification:
            global_runtime_config.update_recently_opened_state_machines_with(state_machine)
        duration = time.time() - start_time
        stat = state_machine.root_state.get_states_statistics(0)
        logger.info("It took {0:.2}s to load {1} states with {2} hierarchy levels.".format(duration, stat[0], stat[1]))
    except (AttributeError, ValueError, IOError) as e:
        logger.error('Error while trying to open state machine: {0}'.format(e))

    return state_machine


Instruction:
Given the following Python 3 function, write the documentation
def save_state_machine(delete_old_state_machine=False, recent_opened_notification=False, as_copy=False, copy_path=None):

    state_machine_manager_model = rafcon.gui.singleton.state_machine_manager_model
    states_editor_ctrl = rafcon.gui.singleton.main_window_controller.get_controller('states_editor_ctrl')

    state_machine_m = state_machine_manager_model.get_selected_state_machine_model()
    if state_machine_m is None:
        logger.warning("Can not 'save state machine' because no state machine is selected.")
        return False

    previous_path = state_machine_m.state_machine.file_system_path
    previous_marked_dirty = state_machine_m.state_machine.marked_dirty
    all_tabs = list(states_editor_ctrl.tabs.values())
    all_tabs.extend(states_editor_ctrl.closed_tabs.values())
    dirty_source_editor_ctrls = [tab_dict['controller'].get_controller('source_ctrl') for tab_dict in all_tabs if
                                 tab_dict['source_code_view_is_dirty'] is True and
                                 tab_dict['state_m'].state.get_state_machine().state_machine_id ==
                                 state_machine_m.state_machine.state_machine_id]

    for dirty_source_editor_ctrl in dirty_source_editor_ctrls:
        state = dirty_source_editor_ctrl.model.state
        message_string = "The source code of the state '{}' (path: {}) has not been applied yet and would " \
                         "therefore not be saved.\n\nDo you want to apply the changes now?" \
                         "".format(state.name, state.get_path())
        if global_gui_config.get_config_value("AUTO_APPLY_SOURCE_CODE_CHANGES", False):
            dirty_source_editor_ctrl.apply_clicked(None)
        else:
            dialog = RAFCONButtonDialog(message_string, ["Apply", "Ignore changes"],
                                        message_type=Gtk.MessageType.WARNING, parent=states_editor_ctrl.get_root_window())
            response_id = dialog.run()
            state = dirty_source_editor_ctrl.model.state
            if response_id == 1:  # Apply changes
                logger.debug("Applying source code changes of state '{}'".format(state.name))
                dirty_source_editor_ctrl.apply_clicked(None)

            elif response_id == 2:  # Ignore changes
                logger.debug("Ignoring source code changes of state '{}'".format(state.name))
            else:
                logger.warning("Response id: {} is not considered".format(response_id))
                return False
            dialog.destroy()

    save_path = state_machine_m.state_machine.file_system_path
    if not as_copy and save_path is None or as_copy and copy_path is None:
        if not save_state_machine_as(as_copy=as_copy):
            return False
        return True

    logger.debug("Saving state machine to {0}".format(save_path))

    state_machine_m = state_machine_manager_model.get_selected_state_machine_model()
    sm_path = state_machine_m.state_machine.file_system_path

    storage.save_state_machine_to_path(state_machine_m.state_machine, copy_path if as_copy else sm_path,
                                       delete_old_state_machine=delete_old_state_machine, as_copy=as_copy)
    if recent_opened_notification:
        global_runtime_config.update_recently_opened_state_machines_with(state_machine_m.state_machine)
    state_machine_m.store_meta_data(copy_path=copy_path if as_copy else None)
    logger.debug("Saved state machine and its meta data.")
    library_manager_model.state_machine_was_stored(state_machine_m, previous_path)
    return True

Response: Save selected state machine


Instruction:
Given the following Python 3 function, write the documentation
def save_state_machine_as(path=None, recent_opened_notification=False, as_copy=False):

    state_machine_manager_model = rafcon.gui.singleton.state_machine_manager_model
    selected_state_machine_model = state_machine_manager_model.get_selected_state_machine_model()
    if selected_state_machine_model is None:
        logger.warning("Can not 'save state machine as' because no state machine is selected.")
        return False

    if path is None:
        if interface.create_folder_func is None:
            logger.error("No function defined for creating a folder")
            return False
        folder_name = selected_state_machine_model.state_machine.root_state.name
        path = interface.create_folder_func("Please choose a root folder and a folder name for the state-machine. "
                                            "The default folder name is the name of the root state.",
                                            format_default_folder_name(folder_name))
        if path is None:
            logger.warning("No valid path specified")
            return False

    previous_path = selected_state_machine_model.state_machine.file_system_path
    if not as_copy:
        marked_dirty = selected_state_machine_model.state_machine.marked_dirty
        recent_opened_notification = recent_opened_notification and (not previous_path == path or marked_dirty)
        selected_state_machine_model.state_machine.file_system_path = path

    result = save_state_machine(delete_old_state_machine=True,
                                recent_opened_notification=recent_opened_notification,
                                as_copy=as_copy, copy_path=path)
    library_manager_model.state_machine_was_stored(selected_state_machine_model, previous_path)
    return result

Response: Saves the selected state machine to path


Instruction:
How would you code a function in Python 3 to
save selected state as separate state machine

Response:
def save_selected_state_as():
    """Save selected state as separate state machine

    :return True if successfully stored, False if the storing process was canceled or stopped by condition fail
    :rtype bool:
    :raises exceptions.ValueError: If dialog response ids are out of bounds
    """

    state_machine_manager_model = rafcon.gui.singleton.state_machine_manager_model
    selection = state_machine_manager_model.get_selected_state_machine_model().selection
    selected_state = selection.get_selected_state()
    state_machine_id = state_machine_manager_model.get_selected_state_machine_model().state_machine.state_machine_id
    if len(selection.states) == 1:
        state_m = copy.copy(selected_state)
        sm_m = StateMachineModel(StateMachine(root_state=state_m.state))
        sm_m.root_state = state_m
        path = interface.create_folder_func("Please choose a root folder and a folder name for the state-machine your "
                                            "state is saved in. The default folder name is the name of state.",
                                            format_default_folder_name(selected_state.state.name))
        if path:
            storage.save_state_machine_to_path(sm_m.state_machine, base_path=path)
            sm_m.store_meta_data()
        else:
            logger.warning("No valid path specified")
            return False

        def open_as_state_machine_saved_state_as_separate_state_machine():
            logger.debug("Open state machine.")
            try:
                open_state_machine(path=path, recent_opened_notification=True)
            except (ValueError, IOError) as e:
                logger.error('Error while trying to open state machine: {0}'.format(e))

        # check if state machine is in library path
        root_window = rafcon.gui.singleton.main_window_controller.get_root_window()
        if library_manager.is_os_path_within_library_root_paths(path):

            _library_path, _library_name = \
                library_manager.get_library_path_and_name_for_os_path(sm_m.state_machine.file_system_path)
            overwrote_old_lib = library_manager.is_library_in_libraries(_library_path, _library_name)

            message_string = "You stored your state machine in a path that is within the library root paths. " \
                             "Thereby your state machine can be used as a library state.\n\n"\
                             "Do you want to:"

            table_header = ["Option", "Description"]
            table_data = [(True, "Substitute the original state by this new library state."),
                          (True, "Open the newly created library state machine.")]
            if overwrote_old_lib:
                table_data.append((False, "Refresh all open state machines, as an already existing library was "
                                          "overwritten."))

            dialog = RAFCONCheckBoxTableDialog(message_string,
                                               button_texts=("Apply", "Cancel"),
                                               table_header=table_header, table_data=table_data,
                                               message_type=Gtk.MessageType.QUESTION,
                                               parent=root_window,
                                               width=800, standalone=False)
            response_id = dialog.run()
            if response_id == 1:  # Apply pressed

                if overwrote_old_lib and dialog.list_store[2][0]:  # refresh all open state machine selected
                    logger.debug("Refresh all is triggered.")
                    refresh_all()
                else:  # if not all was refreshed at least the libraries are refreshed
                    logger.debug("Library refresh is triggered.")
                    refresh_libraries()

                if dialog.list_store[0][0]:  # Substitute saved state with Library selected
                    logger.debug("Substitute saved state with Library.")
                    if dialog.list_store[0][0] or dialog.list_store[0][1]:
                        refresh_libraries()
                    state_machine_manager_model.selected_state_machine_id = state_machine_id
                    [library_path, library_name] = library_manager.get_library_path_and_name_for_os_path(path)
                    state = library_manager.get_library_instance(library_path, library_name)
                    try:
                        substitute_selected_state(state, as_template=False)
                    except ValueError as e:
                        logger.error('Error while trying to open state machine: {0}'.format(e))
                if dialog.list_store[1][0]:  # Open as state machine saved state as separate state machine selected
                    open_as_state_machine_saved_state_as_separate_state_machine()
            elif response_id in [2, -4]:  # Cancel or Close pressed
                pass
            else:
                raise ValueError("Response id: {} is not considered".format(response_id))
            dialog.destroy()
        else:
            # Offer to open saved state machine dialog
            message_string = "Should the newly created state machine be opened?"
            dialog = RAFCONButtonDialog(message_string, ["Open", "Do not open"],
                                        message_type=Gtk.MessageType.QUESTION,
                                        parent=root_window)
            response_id = dialog.run()
            if response_id == 1:  # Apply pressed
                open_as_state_machine_saved_state_as_separate_state_machine()
            elif response_id in [2, -4]:  # Cancel or Close pressed
                pass
            else:
                raise ValueError("Response id: {} is not considered".format(response_id))
            dialog.destroy()

        return True
    else:
        logger.warning("Multiple states can not be saved as state machine directly. Group them before.")
        return False


Instruction:
Here you have a function in Python 3, explain what it does
def is_state_machine_stopped_to_proceed(selected_sm_id=None, root_window=None):
    # check if the/a state machine is still running
    if not state_machine_execution_engine.finished_or_stopped():
        if selected_sm_id is None or selected_sm_id == state_machine_manager.active_state_machine_id:

            message_string = "A state machine is still running. This state machine can only be refreshed" \
                             "when not longer running."
            dialog = RAFCONButtonDialog(message_string, ["Stop execution and refresh",
                                                         "Keep running and do not refresh"],
                                        message_type=Gtk.MessageType.QUESTION,
                                        parent=root_window)
            response_id = dialog.run()
            state_machine_stopped = False
            if response_id == 1:
                state_machine_execution_engine.stop()
                state_machine_stopped = True
            elif response_id == 2:
                logger.debug("State machine will stay running and no refresh will be performed!")
            dialog.destroy()

            return state_machine_stopped
    return True

Response: Checks if a specific state machine is stopped and in case request user by dialog window how to proceed


Instruction:
Explain what the following Python 3 code does
def refresh_selected_state_machine():

    selected_sm_id = rafcon.gui.singleton.state_machine_manager_model.selected_state_machine_id
    selected_sm = state_machine_manager.state_machines[selected_sm_id]
    state_machines_editor_ctrl = rafcon.gui.singleton.main_window_controller.get_controller('state_machines_editor_ctrl')
    states_editor_ctrl = rafcon.gui.singleton.main_window_controller.get_controller('states_editor_ctrl')

    if not is_state_machine_stopped_to_proceed(selected_sm_id, state_machines_editor_ctrl.get_root_window()):
        return

    # check if the a dirty flag is still set
    all_tabs = list(states_editor_ctrl.tabs.values())
    all_tabs.extend(states_editor_ctrl.closed_tabs.values())
    dirty_source_editor = [tab_dict['controller'] for tab_dict in all_tabs if
                           tab_dict['source_code_view_is_dirty'] is True]
    if selected_sm.marked_dirty or dirty_source_editor:

        message_string = "Are you sure you want to reload the currently selected state machine?\n\n" \
                         "The following elements have been modified and not saved. " \
                         "These changes will get lost:"
        message_string = "%s\n* State machine #%s and name '%s'" % (
            message_string, str(selected_sm_id), selected_sm.root_state.name)
        for ctrl in dirty_source_editor:
            if ctrl.model.state.get_state_machine().state_machine_id == selected_sm_id:
                message_string = "%s\n* Source code of state with name '%s' and path '%s'" % (
                    message_string, ctrl.model.state.name, ctrl.model.state.get_path())
        dialog = RAFCONButtonDialog(message_string, ["Reload anyway", "Cancel"],
                                    message_type=Gtk.MessageType.WARNING, parent=states_editor_ctrl.get_root_window())
        response_id = dialog.run()
        dialog.destroy()
        if response_id == 1:  # Reload anyway
            pass
        else:
            logger.debug("Refresh of selected state machine canceled")
            return

    library_manager.clean_loaded_libraries()
    refresh_libraries()
    states_editor_ctrl.close_pages_for_specific_sm_id(selected_sm_id)
    state_machines_editor_ctrl.refresh_state_machine_by_id(selected_sm_id)

Response: Reloads the currently selected state machine.


Instruction:
Can you generate the documentation for the following Python 3 function
def refresh_all(force=False):
    state_machines_editor_ctrl = rafcon.gui.singleton.main_window_controller.get_controller('state_machines_editor_ctrl')
    states_editor_ctrl = rafcon.gui.singleton.main_window_controller.get_controller('states_editor_ctrl')

    if force:
        pass  # no checks direct refresh
    else:

        # check if a state machine is still running
        if not is_state_machine_stopped_to_proceed(root_window=states_editor_ctrl.get_root_window()):
            return

        # check if the a dirty flag is still set
        all_tabs = list(states_editor_ctrl.tabs.values())
        all_tabs.extend(states_editor_ctrl.closed_tabs.values())
        dirty_source_editor = [tab_dict['controller'] for tab_dict in all_tabs if
                               tab_dict['source_code_view_is_dirty'] is True]
        if state_machine_manager.has_dirty_state_machine() or dirty_source_editor:

            message_string = "Are you sure you want to reload the libraries and all state machines?\n\n" \
                             "The following elements have been modified and not saved. " \
                             "These changes will get lost:"
            for sm_id, sm in state_machine_manager.state_machines.items():
                if sm.marked_dirty:
                    message_string = "%s\n* State machine #%s and name '%s'" % (
                        message_string, str(sm_id), sm.root_state.name)
            for ctrl in dirty_source_editor:
                message_string = "%s\n* Source code of state with name '%s' and path '%s'" % (
                    message_string, ctrl.model.state.name, ctrl.model.state.get_path())
            dialog = RAFCONButtonDialog(message_string, ["Reload anyway", "Cancel"],
                                        message_type=Gtk.MessageType.WARNING, parent=states_editor_ctrl.get_root_window())
            response_id = dialog.run()
            dialog.destroy()
            if response_id == 1:  # Reload anyway
                pass
            else:
                logger.debug("Refresh canceled")
                return

    library_manager.clean_loaded_libraries()
    refresh_libraries()
    states_editor_ctrl.close_all_pages()
    state_machines_editor_ctrl.refresh_all_state_machines()

Response: Remove all libraries and state machines and reloads them freshly from the file system


Instruction:
Can you tell what is the following Python 3 function doing
def delete_core_element_of_model(model, raise_exceptions=False, recursive=True, destroy=True, force=False):
    if isinstance(model, AbstractStateModel) and model.state.is_root_state:
        logger.warning("Deletion is not allowed. {0} is root state of state machine.".format(model.core_element))
        return False
    state_m = model.parent
    if state_m is None:
        msg = "Model has no parent from which it could be deleted from"
        if raise_exceptions:
            raise ValueError(msg)
        logger.error(msg)
        return False
    if is_selection_inside_of_library_state(selected_elements=[model]):
        logger.warning("Deletion is not allowed. Element {0} is inside of a library.".format(model.core_element))
        return False
    assert isinstance(state_m, StateModel)

    state = state_m.state
    core_element = model.core_element

    try:
        if core_element in state:
            state.remove(core_element, recursive=recursive, destroy=destroy, force=force)
            return True
        return False
    except (AttributeError, ValueError) as e:
        if raise_exceptions:
            raise
        logger.error("The model '{}' for core element '{}' could not be deleted: {}".format(model, core_element, e))
        return False

Response: Deletes the respective core element of handed model of state machine.


Instruction:
Implement a function in Python 3 to
delete all respective core elements for the given models.

Response:
def delete_core_elements_of_models(models, raise_exceptions=True, recursive=True, destroy=True, force=False):
    """Deletes all respective core elements for the given models

    Calls the :func:`delete_core_element_of_model` for all given models.

    :param models: A single model or a list of models of respective core element to be deleted
    :param bool raise_exceptions: Whether to raise exceptions or log error messages in case of an error
    :param bool destroy:  Access the destroy flag of the core remove methods
    :return: The number of models that were successfully deleted
    """
    # If only one model is given, make a list out of it
    if not hasattr(models, '__iter__'):
        models = [models]
    return sum(delete_core_element_of_model(model, raise_exceptions, recursive=recursive, destroy=destroy, force=force)
               for model in models)


Instruction:
Can you generate a brief explanation for the following Python 3 code
def is_selection_inside_of_library_state(state_machine_m=None, selected_elements=None):
    if state_machine_m is None:
        state_machine_m = rafcon.gui.singleton.state_machine_manager_model.get_selected_state_machine_model()
    if state_machine_m is None and selected_elements is None:
        return False
    selection_in_lib = []
    selected_elements = state_machine_m.selection.get_all() if selected_elements is None else selected_elements
    for model in selected_elements:
        # check if model is element of child state or the root state (or its scoped variables) of a LibraryState
        state_m = model if isinstance(model.core_element, State) else model.parent
        selection_in_lib.append(state_m.state.get_next_upper_library_root_state() is not None)
        # check if model is part of the shell (io-port or outcome) of a LibraryState
        if not isinstance(model.core_element, State) and isinstance(state_m, LibraryStateModel):
            selection_in_lib.append(True)
    if any(selection_in_lib):
        return True
    return False

Response: Checks if selected elements are inside of library state


Instruction:
Can you create a Python 3 function that
triggers when the Add State button is pressed.

Response:
def add_new_state(state_machine_m, state_type):
    """Triggered when shortcut keys for adding a new state are pressed, or Menu Bar "Edit, Add State" is clicked.

    Adds a new state only if the parent state (selected state) is a container state, and if the graphical editor or
    the state machine tree are in focus.
    """
    assert isinstance(state_machine_m, StateMachineModel)

    if state_type not in list(StateType):
        state_type = StateType.EXECUTION

    if len(state_machine_m.selection.states) != 1:
        logger.warning("Please select exactly one desired parent state, before adding a new state")
        return
    state_m = state_machine_m.selection.get_selected_state()
    if is_selection_inside_of_library_state(selected_elements=[state_m]):
        logger.warning("Add new state is not performed because selected target state is inside of a library state.")
        return

    if isinstance(state_m, StateModel):
        return gui_helper_state.add_state(state_m, state_type)
    else:
        logger.warning("Add new state is not performed because target state indication has to be a {1} not {0}"
                    "".format(state_m.__class__.__name__, StateModel.__name__))

    # TODO this code can not be reached -> recover again? -> e.g. feature select transition add's state to parent
    if isinstance(state_m, (TransitionModel, DataFlowModel)) or \
            isinstance(state_m, (DataPortModel, OutcomeModel)) and isinstance(state_m.parent, ContainerStateModel):
        return gui_helper_state.add_state(state_m.parent, state_type)


Instruction:
Explain what the following Python 3 code does
def insert_state_into_selected_state(state, as_template=False):
    smm_m = rafcon.gui.singleton.state_machine_manager_model

    if not isinstance(state, State):
        logger.warning("A state is needed to be insert not {0}".format(state))
        return False

    if not smm_m.selected_state_machine_id:
        logger.warning("Please select a container state within a state machine first")
        return False

    selection = smm_m.state_machines[smm_m.selected_state_machine_id].selection
    if len(selection.states) > 1:
        logger.warning("Please select exactly one state for the insertion")
        return False

    if len(selection.states) == 0:
        logger.warning("Please select a state for the insertion")
        return False

    if is_selection_inside_of_library_state(selected_elements=[selection.get_selected_state()]):
        logger.warning("State is not insert because target state is inside of a library state.")
        return False

    gui_helper_state.insert_state_as(selection.get_selected_state(), state, as_template)

    return True

Response: Adds a state into the selected state


Instruction:
Can you tell what is the following Python 3 function doing
def substitute_selected_state(state, as_template=False, keep_name=False):
    # print("substitute_selected_state", state, as_template)
    assert isinstance(state, State)
    from rafcon.core.states.barrier_concurrency_state import DeciderState
    if isinstance(state, DeciderState):
        raise ValueError("State of type DeciderState can not be substituted.")

    smm_m = rafcon.gui.singleton.state_machine_manager_model
    if not smm_m.selected_state_machine_id:
        logger.error("Selected state machine can not be found, please select a state within a state machine first.")
        return False

    selection = smm_m.state_machines[smm_m.selected_state_machine_id].selection
    selected_state_m = selection.get_selected_state()
    if len(selection.states) != 1:
        logger.error("Please select exactly one state for the substitution")
        return False
    if is_selection_inside_of_library_state(selected_elements=[selected_state_m]):
        logger.warning("Substitute is not performed because target state is inside of a library state.")
        return

    gui_helper_state.substitute_state_as(selected_state_m, state, as_template, keep_name)

    return True

Response: Substitute the selected state with the handed state


Instruction:
Make a summary of the following Python 3 code
def construct_partial_network(self, cluster, scenario):

        #Create an empty network
        partial_network = Network()

        # find all lines that have at least one bus inside the cluster
        busflags = (self.buses['cluster'] == cluster)

        def is_bus_in_cluster(conn):
            return busflags[conn]

        # Copy configurations to new network
        partial_network.snapshots = self.original_network.snapshots
        partial_network.snapshot_weightings = (self.original_network
                                                   .snapshot_weightings)
        partial_network.carriers = self.original_network.carriers

        # Collect all connectors that have some node inside the cluster

        external_buses = pd.DataFrame()

        line_types = ['lines', 'links', 'transformers']
        for line_type in line_types:
            # Copy all lines that reside entirely inside the cluster ...
            setattr(partial_network, line_type,
                    filter_internal_connector(
                        getattr(self.original_network, line_type),
                        is_bus_in_cluster))

            # ... and their time series
            # TODO: These are all time series, not just the ones from lines
            #       residing entirely in side the cluster.
            #       Is this a problem?
            setattr(partial_network, line_type + '_t',
                    getattr(self.original_network, line_type + '_t'))

            # Copy all lines whose `bus0` lies within the cluster
            left_external_connectors = filter_left_external_connector(
                getattr(self.original_network, line_type),
                is_bus_in_cluster)

            if not left_external_connectors.empty:
                f = lambda x: self.idx_prefix + self.clustering.busmap.loc[x]
                ca_option = pd.get_option('mode.chained_assignment')
                pd.set_option('mode.chained_assignment', None)
                left_external_connectors.loc[:, 'bus0'] = (
                        left_external_connectors.loc[:, 'bus0'].apply(f))
                pd.set_option('mode.chained_assignment', ca_option)
                external_buses = pd.concat((external_buses,
                                            left_external_connectors.bus0))

            # Copy all lines whose `bus1` lies within the cluster
            right_external_connectors = filter_right_external_connector(
                getattr(self.original_network, line_type),
                is_bus_in_cluster)
            if not right_external_connectors.empty:
                f = lambda x: self.idx_prefix + self.clustering.busmap.loc[x]
                ca_option = pd.get_option('mode.chained_assignment')
                pd.set_option('mode.chained_assignment', None)
                right_external_connectors.loc[:, 'bus1'] = (
                        right_external_connectors.loc[:, 'bus1'].apply(f))
                pd.set_option('mode.chained_assignment', ca_option)
                external_buses = pd.concat((external_buses,
                                            right_external_connectors.bus1))

        # Collect all buses that are contained in or somehow connected to the
        # cluster

        buses_in_lines = self.buses[busflags].index

        bus_types = ['loads', 'generators', 'stores', 'storage_units',
                     'shunt_impedances']

        # Copy all values that are part of the cluster
        partial_network.buses = self.original_network.buses[
            self.original_network.buses.index.isin(buses_in_lines)]

        # Collect all buses that are external, but connected to the cluster ...
        externals_to_insert = self.clustered_network.buses[
            self.clustered_network.buses.index.isin(
                map(lambda x: x[0][len(self.idx_prefix):],
                    external_buses.values))]

        # ... prefix them to avoid name clashes with buses from the original
        # network ...
        self.reindex_with_prefix(externals_to_insert)

        # .. and insert them as well as their time series
        partial_network.buses = (partial_network.buses
                                                .append(externals_to_insert))
        partial_network.buses_t = self.original_network.buses_t

        # TODO: Rename `bustype` to on_bus_type
        for bustype in bus_types:
            # Copy loads, generators, ... from original network to network copy
            setattr(partial_network, bustype,
                    filter_buses(getattr(self.original_network, bustype),
                                 buses_in_lines))

            # Collect on-bus components from external, connected clusters
            buses_to_insert = filter_buses(
                getattr(self.clustered_network, bustype),
                map(lambda x: x[0][len(self.idx_prefix):],
                    external_buses.values))

            # Prefix their external bindings
            buses_to_insert.loc[:, 'bus'] = (
                    self.idx_prefix +
                    buses_to_insert.loc[:, 'bus'])

            setattr(partial_network, bustype,
                    getattr(partial_network, bustype).append(buses_to_insert))

            # Also copy their time series
            setattr(partial_network,
                    bustype + '_t',
                    getattr(self.original_network, bustype + '_t'))
            # Note: The code above copies more than necessary, because it
            #       copies every time series for `bustype` from the original
            #       network and not only the subset belonging to the partial
            #       network. The commented code below tries to filter the time
            #       series accordingly, but there must be bug somewhere because
            #       using it, the time series in the clusters and sums of the
            #       time series after disaggregation don't match up.
            """
            series = getattr(self.original_network, bustype + '_t')
            partial_series = type(series)()
            for s in series:
                partial_series[s] = series[s].loc[
                        :,
                        getattr(partial_network, bustype)
                        .index.intersection(series[s].columns)]
            setattr(partial_network, bustype + '_t', partial_series)
            """

        # Just a simple sanity check
        # TODO: Remove when sure that disaggregation will not go insane anymore
        for line_type in line_types:
            assert (getattr(partial_network, line_type).bus0.isin(
                partial_network.buses.index).all())
            assert (getattr(partial_network, line_type).bus1.isin(
                partial_network.buses.index).all())

        return partial_network, external_buses

Response: Construct a partial network that has been merged into a single cluster.


Instruction:
How would you explain what the following Python 3 function does
def solve(self, scenario, solver):
        clusters = set(self.clustering.busmap.values)
        n = len(clusters)
        self.stats = {'clusters': pd.DataFrame(
            index=sorted(clusters),
            columns=["decompose", "spread", "transfer"])}
        profile = cProfile.Profile()
        for i, cluster in enumerate(sorted(clusters)):
            print('---')
            print('Decompose cluster %s (%d/%d)' % (cluster, i+1, n))
            profile.enable()
            t = time.time()
            partial_network, externals = self.construct_partial_network(
                    cluster,
                    scenario)
            profile.disable()
            self.stats['clusters'].loc[cluster, 'decompose'] = time.time() - t
            print('Decomposed in ',
                  self.stats['clusters'].loc[cluster, 'decompose'])
            t = time.time()
            profile.enable()
            self.solve_partial_network(cluster, partial_network, scenario,
                                       solver)
            profile.disable()
            self.stats['clusters'].loc[cluster, 'spread'] = time.time() - t
            print('Result distributed in ',
                  self.stats['clusters'].loc[cluster, 'spread'])
            profile.enable()
            t = time.time()
            self.transfer_results(partial_network, externals)
            profile.disable()
            self.stats['clusters'].loc[cluster, 'transfer'] = time.time() - t
            print('Results transferred in ',
                  self.stats['clusters'].loc[cluster, 'transfer'])

        profile.enable()
        t = time.time()
        print('---')
        fs = (mc("sum"), mc("sum"))
        for bt, ts in (
                ('generators', {'p': fs, 'q': fs}),
                ('storage_units', {'p': fs, 'state_of_charge': fs, 'q': fs})):
            print("Attribute sums, {}, clustered - disaggregated:" .format(bt))
            cnb = getattr(self.clustered_network, bt)
            onb = getattr(self.original_network, bt)
            print("{:>{}}: {}".format('p_nom_opt', 4 + len('state_of_charge'),
                reduce(lambda x, f: f(x), fs[:-1], cnb['p_nom_opt'])
                    -
                    reduce(lambda x, f: f(x), fs[:-1], onb['p_nom_opt'])))

            print("Series sums, {}, clustered - disaggregated:" .format(bt))
            cnb = getattr(self.clustered_network, bt + '_t')
            onb = getattr(self.original_network, bt + '_t')
            for s in ts:
                print("{:>{}}: {}".format(s, 4 + len('state_of_charge'),
                    reduce(lambda x, f: f(x), ts[s], cnb[s])
                    -
                    reduce(lambda x, f: f(x), ts[s], onb[s])))
        profile.disable()
        self.stats['check'] = time.time() - t
        print('Checks computed in ', self.stats['check'])

Response: Solve each cluster into separate units and try to optimize them separately


Instruction:
Make a summary of the following Python 3 code
def modify_origin(self, from_state, from_outcome):
        if not (from_state is None and from_outcome is None):
            if not isinstance(from_state, string_types):
                raise ValueError("Invalid transition origin port: from_state must be a string")
            if not isinstance(from_outcome, int):
                raise ValueError("Invalid transition origin port: from_outcome must be of type int")

        old_from_state = self.from_state
        old_from_outcome = self.from_outcome
        self._from_state = from_state
        self._from_outcome = from_outcome

        valid, message = self._check_validity()
        if not valid:
            self._from_state = old_from_state
            self._from_outcome = old_from_outcome
            raise ValueError("The transition origin could not be changed: {0}".format(message))

Response: Modify the state of the transition origin at the same time.


Instruction:
Explain what the following Python 3 code does
def modify_target(self, to_state, to_outcome=None):
        if not (to_state is None and (to_outcome is not int and to_outcome is not None)):
            if not isinstance(to_state, string_types):
                raise ValueError("Invalid transition target port: to_state must be a string")
            if not isinstance(to_outcome, int) and to_outcome is not None:
                raise ValueError("Invalid transition target port: to_outcome must be of type int or None (if to_state "
                                 "is of type str)")

        old_to_state = self.to_state
        old_to_outcome = self.to_outcome
        self._to_state = to_state
        self._to_outcome = to_outcome

        valid, message = self._check_validity()
        if not valid:
            self._to_state = old_to_state
            self._to_outcome = old_to_outcome
            raise ValueError("The transition target could not be changed: {0}".format(message))

Response: Modify the target state and outcome of a transition.


Instruction:
Write a Python 3 function for
calling when the view was registered

Response:
def register_view(self, view):
        """Called when the View was registered"""
        ExtendedController.register_view(self, view)  # no super to avoid sm based selection initialization
        view['name_text'].set_property('editable', True)
        view['value_text'].set_property('editable', True)
        view['type_text'].set_property('editable', True)

        self.tree_view.connect('key-press-event', self.tree_view_keypress_callback)
        self._apply_value_on_edited_and_focus_out(view['name_text'], self.apply_new_global_variable_name)
        self._apply_value_on_edited_and_focus_out(view['value_text'], self.apply_new_global_variable_value)
        self._apply_value_on_edited_and_focus_out(view['type_text'], self.apply_new_global_variable_type)
        view['new_global_variable_button'].connect('clicked', self.on_add)
        view['delete_global_variable_button'].connect('clicked', self.on_remove)
        view['lock_global_variable_button'].connect('clicked', self.on_lock)
        view['unlock_global_variable_button'].connect('clicked', self.on_unlock)
        self._tree_selection.set_mode(Gtk.SelectionMode.MULTIPLE)


Instruction:
Can you generate a brief explanation for the following Python 3 code
def global_variable_is_editable(self, gv_name, intro_message='edit'):
        if self.model.global_variable_manager.is_locked(gv_name):
            logger.error("{1} of global variable '{0}' is not possible, as it is locked".format(gv_name, intro_message))
            return False
        return True

Response: Check whether global variable is editable


Instruction:
Implement a Python 3 function for
triggering when the add button is clicked.

Response:
def on_add(self, widget, data=None):
        """Create a global variable with default value and select its row

        Triggered when the add button in the global variables tab is clicked.
        """
        gv_name = "new_global_%s" % self.global_variable_counter
        self.global_variable_counter += 1
        try:
            self.model.global_variable_manager.set_variable(gv_name, None)
        except (RuntimeError, AttributeError, TypeError) as e:
            logger.warning("Addition of new global variable '{0}' failed: {1}".format(gv_name, e))
        self.select_entry(gv_name)
        return True


Instruction:
Can you generate a brief explanation for the following Python 3 code
def on_lock(self, widget, data=None):
        path_list = None
        if self.view is not None:
            model, path_list = self.tree_view.get_selection().get_selected_rows()
        models = [self.list_store[path][self.MODEL_STORAGE_ID] for path in path_list] if path_list else []
        if models:
            if len(models) > 1:
                self._logger.warning("Please select only one element to be locked.")
            try:
                self.model.global_variable_manager.lock_variable(models[0])
            except AttributeError as e:
                self._logger.warning("The respective core element of {1}.list_store couldn't be locked. -> {0}"
                                  "".format(e, self.__class__.__name__))
            return True
        else:
            self._logger.warning("Please select an element to be locked.")

Response: Locks respective selected core element


Instruction:
Implement a function in Python 3 to
remove the respective core element of handed global variable name

Response:
def remove_core_element(self, model):
        """Remove respective core element of handed global variable name

        :param str model: String that is the key/gv_name of core element which should be removed
        :return:
        """
        gv_name = model
        if self.global_variable_is_editable(gv_name, "Deletion"):
            try:
                self.model.global_variable_manager.delete_variable(gv_name)
            except AttributeError as e:
                logger.warning("The respective global variable '{1}' couldn't be removed. -> {0}"
                            "".format(e, model))


Instruction:
Implement a function in Python 3 to
apply the new global variable name according handed string

Response:
def apply_new_global_variable_name(self, path, new_gv_name):
        """Change global variable name/key according handed string

        Updates the global variable name only if different and already in list store.

        :param path: The path identifying the edited global variable tree view row, can be str, int or tuple.
        :param str new_gv_name: New global variable name
        """
        gv_name = self.list_store[path][self.NAME_STORAGE_ID]
        if gv_name == new_gv_name or not self.global_variable_is_editable(gv_name, 'Name change'):
            return

        data_value = self.model.global_variable_manager.get_representation(gv_name)
        data_type = self.model.global_variable_manager.get_data_type(gv_name)

        try:
            self.model.global_variable_manager.delete_variable(gv_name)
            self.model.global_variable_manager.set_variable(new_gv_name, data_value, data_type=data_type)
            gv_name = new_gv_name
        except (AttributeError, RuntimeError, TypeError) as e:
            logger.warning("Can not apply new name '{0}'".format(e))
        self.update_global_variables_list_store()
        self.select_entry(gv_name)

        # informing the tab key feature handler function about the changed core element id
        if hasattr(self.tree_view_keypress_callback.__func__, "core_element_id"):
            self.tree_view_keypress_callback.__func__.core_element_id = gv_name


Instruction:
Write a Python 3 script to
apply the new value according handed string to the global variable tree view row.

Response:
def apply_new_global_variable_value(self, path, new_value_as_string):
        """Change global variable value according handed string

        Updates the global variable value only if new value string is different to old representation.

        :param path: The path identifying the edited global variable tree view row, can be str, int or tuple.
        :param str new_value_as_string: New global variable value as string
        """
        if self.list_store[path][self.DATA_TYPE_AS_STRING_STORAGE_ID] == new_value_as_string:
            return
        gv_name = self.list_store[path][self.NAME_STORAGE_ID]
        if not self.global_variable_is_editable(gv_name, 'Change of value'):
            return
        data_type = self.model.global_variable_manager.get_data_type(gv_name)
        old_value = self.model.global_variable_manager.get_representation(gv_name)

        # preserve type especially if type=NoneType
        if issubclass(data_type, (type(old_value), type(None))):
            old_type = data_type
            if issubclass(data_type, type(None)):
                old_type = type(old_value)
                logger.debug("Trying to parse '{}' to type '{}' of old global variable value '{}'".format(
                    new_value_as_string, old_type.__name__, old_value))
            try:
                new_value = type_helpers.convert_string_value_to_type_value(new_value_as_string, old_type)
            except (AttributeError, ValueError) as e:
                if issubclass(data_type, type(None)):
                    new_value = new_value_as_string
                    logger.warning("New value '{}' stored as string, previous value '{}' of global variable '{}' was "
                                   "of type '{}'".format(new_value, old_value, gv_name, type(old_value).__name__))
                else:
                    logger.warning("Restoring old value of global variable '{}': {}".format(gv_name, e))
                    return
        else:
            logger.error("Global variable '{}' with inconsistent value data type '{}' and data type '{}'".format(
                gv_name, [type(old_value).__name__, type(None).__name__], data_type.__name__))
            return

        try:
            self.model.global_variable_manager.set_variable(gv_name, new_value, data_type=data_type)
        except (RuntimeError, AttributeError, TypeError) as e:
            logger.error("Error while setting global variable '{0}' to value '{1}' -> Exception: {2}".format(
                gv_name, new_value, e))


Instruction:
Can you generate the documentation for the following Python 3 function
def apply_new_global_variable_type(self, path, new_data_type_as_string):
        if self.list_store[path][self.DATA_TYPE_AS_STRING_STORAGE_ID] == new_data_type_as_string:
            return
        gv_name = self.list_store[path][self.NAME_STORAGE_ID]
        if not self.global_variable_is_editable(gv_name, 'Type change'):
            return
        old_value = self.model.global_variable_manager.get_representation(gv_name)

        # check if valid data type string
        try:
            new_data_type = type_helpers.convert_string_to_type(new_data_type_as_string)
        except (AttributeError, ValueError) as e:
            logger.error("Could not change data type to '{0}': {1}".format(new_data_type_as_string, e))
            return
        assert isinstance(new_data_type, type)

        # convert old value
        if issubclass(new_data_type, type(None)):
            new_value = old_value
        else:  # new_data_type in [str, float, int, list, dict, tuple, bool]:
            try:
                new_value = new_data_type(old_value)
            except (ValueError, TypeError) as e:
                new_value = new_data_type()
                logger.warning("Old value '{}' of global variable '{}' could not be parsed to new type '{}' and is "
                            "therefore resetted: {}".format(old_value, gv_name, new_data_type.__name__, e))

        # set value in global variable manager
        try:
            self.model.global_variable_manager.set_variable(gv_name, new_value, data_type=new_data_type)
        except (ValueError, RuntimeError, TypeError) as e:
            logger.error("Could not set new value unexpected failure '{0}' to value '{1}' -> Exception: {2}"
                         "".format(gv_name, new_value, e))

Response: Applies the new data type according handed string to the global variable tree view row.


Instruction:
Write a Python 3 function that can
handle GTKMVC3 notification from global variable manager

Response:
def assign_notification_from_gvm(self, model, prop_name, info):
        """Handles gtkmvc3 notification from global variable manager

        Calls update of whole list store in case new variable was added. Avoids to run updates without reasonable change.
        Holds tree store and updates row elements if is-locked or global variable value changes.
        """

        if info['method_name'] in ['set_locked_variable'] or info['result'] is Exception:
            return

        if info['method_name'] in ['lock_variable', 'unlock_variable']:
            key = info.kwargs.get('key', info.args[1]) if len(info.args) > 1 else info.kwargs['key']
            if key in self.list_store_iterators:
                gv_row_path = self.list_store.get_path(self.list_store_iterators[key])
                self.list_store[gv_row_path][self.IS_LOCKED_AS_STRING_STORAGE_ID] = \
                    str(self.model.global_variable_manager.is_locked(key))
        elif info['method_name'] in ['set_variable', 'delete_variable']:
            if info['method_name'] == 'set_variable':
                key = info.kwargs.get('key', info.args[1]) if len(info.args) > 1 else info.kwargs['key']
                if key in self.list_store_iterators:
                    gv_row_path = self.list_store.get_path(self.list_store_iterators[key])
                    self.list_store[gv_row_path][self.VALUE_AS_STRING_STORAGE_ID] = \
                        str(self.model.global_variable_manager.get_representation(key))
                    self.list_store[gv_row_path][self.DATA_TYPE_AS_STRING_STORAGE_ID] = \
                        self.model.global_variable_manager.get_data_type(key).__name__
                    return
            self.update_global_variables_list_store()
        else:
            logger.warning('Notification that is not handled')


Instruction:
How would you code a function in Python 3 to
update the global variable list store with the current values of all global variables.

Response:
def update_global_variables_list_store(self):
        """Updates the global variable list store

        Triggered after creation or deletion of a variable has taken place.
        """
        # logger.info("update")
        self.list_store_iterators = {}
        self.list_store.clear()
        keys = self.model.global_variable_manager.get_all_keys()
        keys.sort()
        for key in keys:
            iter = self.list_store.append([key,
                                           self.model.global_variable_manager.get_data_type(key).__name__,
                                           str(self.model.global_variable_manager.get_representation(key)),
                                           str(self.model.global_variable_manager.is_locked(key)),
                                           ])
            self.list_store_iterators[key] = iter


Instruction:
Here you have a function in Python 3, explain what it does
def convert_libraries_in_path(config_path, lib_path, target_path=None):
    for lib in os.listdir(lib_path):
        if os.path.isdir(os.path.join(lib_path, lib)) and not '.' == lib[0]:
            if os.path.exists(os.path.join(os.path.join(lib_path, lib), "statemachine.yaml")) or \
                    os.path.exists(os.path.join(os.path.join(lib_path, lib), "statemachine.json")):
                if not target_path:
                    convert(config_path, os.path.join(lib_path, lib))
                else:
                    convert(config_path, os.path.join(lib_path, lib), os.path.join(target_path, lib))
            else:
                if not target_path:
                    convert_libraries_in_path(config_path, os.path.join(lib_path, lib))
                else:
                    convert_libraries_in_path(config_path, os.path.join(lib_path, lib), os.path.join(target_path, lib))
        else:
            if os.path.isdir(os.path.join(lib_path, lib)) and '.' == lib[0]:
                logger.debug("lib_root_path/lib_path .*-folder are ignored if within lib_path, "
                             "e.g. -> {0} -> full path is {1}".format(lib, os.path.join(lib_path, lib)))

Response: This function resaves all libraries found at the spcified path


Instruction:
Explain what the following Python 3 code does
def get_view_for_id(self, view_class, element_id, parent_item=None):
        from rafcon.gui.mygaphas.items.state import StateView
        from rafcon.gui.mygaphas.items.connection import DataFlowView, TransitionView
        if parent_item is None:
            items = self.get_all_items()
        else:
            items = self.get_children(parent_item)
        for item in items:
            if view_class is StateView and isinstance(item, StateView) and item.model.state.state_id == element_id:
                return item
            if view_class is TransitionView and isinstance(item, TransitionView) and \
                    item.model.transition.transition_id == element_id:
                return item
            if view_class is DataFlowView and isinstance(item, DataFlowView) and \
                    item.model.data_flow.data_flow_id == element_id:
                return item
        return None

Response: Searches and returns the View for the given id and type


Instruction:
Can you create a Python 3 function that
updates canvas and handle all events in the gtk queue

Response:
def wait_for_update(self, trigger_update=False):
        """Update canvas and handle all events in the gtk queue

        :param bool trigger_update: Whether to call update_now() or not
        """
        if trigger_update:
            self.update_now()

        from gi.repository import Gtk
        from gi.repository import GLib
        from threading import Event
        event = Event()

        # Handle all events from gaphas, but not from gtkmvc3
        # Make use of the priority, which is higher for gaphas then for gtkmvc3
        def priority_handled(event):
            event.set()
        priority = (GLib.PRIORITY_HIGH_IDLE + GLib.PRIORITY_DEFAULT_IDLE) / 2
        # idle_add is necessary here, as we do not want to block the user from interacting with the GUI
        # while gaphas is redrawing
        GLib.idle_add(priority_handled, event, priority=priority)
        while not event.is_set():
            Gtk.main_iteration()


Instruction:
How would you code a function in Python 3 to
return two delegating variables. Each variable should contain a value attribute with the real value. Each variable should contain a value attribute with the real value. Each variable should contain a value attribute with the real value.

Response:
def _get_value(self):
        """
        Return two delegating variables. Each variable should contain
        a value attribute with the real value.
        """
        x, y = self._point.x, self._point.y
        self._px, self._py = self._item_point.canvas.get_matrix_i2i(self._item_point,
                                                                    self._item_target).transform_point(x, y)
        return self._px, self._py


Instruction:
Create a Python 3 function to
convert a string into a type or class.

Response:
def convert_string_to_type(string_value):
    """Converts a string into a type or class

    :param string_value: the string to be converted, e.g. "int"
    :return: The type derived from string_value, e.g. int
    """
    # If the parameter is already a type, return it
    if string_value in ['None', type(None).__name__]:
        return type(None)
    if isinstance(string_value, type) or isclass(string_value):
        return string_value

    # Get object associated with string
    # First check whether we are having a built in type (int, str, etc)
    if sys.version_info >= (3,):
        import builtins as builtins23
    else:
        import __builtin__ as builtins23
    if hasattr(builtins23, string_value):
        obj = getattr(builtins23, string_value)
        if type(obj) is type:
            return obj
    # If not, try to locate the module
    try:
        obj = locate(string_value)
    except ErrorDuringImport as e:
        raise ValueError("Unknown type '{0}'".format(e))

    # Check whether object is a type
    if type(obj) is type:
        return locate(string_value)

    # Check whether object is a class
    if isclass(obj):
        return obj

    # Raise error if none is the case
    raise ValueError("Unknown type '{0}'".format(string_value))


Instruction:
Make a summary of the following Python 3 code
def type_inherits_of_type(inheriting_type, base_type):
    assert isinstance(inheriting_type, type) or isclass(inheriting_type)
    assert isinstance(base_type, type) or isclass(base_type)

    if inheriting_type == base_type:
        return True
    else:
        if len(inheriting_type.__bases__) != 1:
            return False
        return type_inherits_of_type(inheriting_type.__bases__[0], base_type)

Response: Checks whether inheriting_type inherits from base_type.


Instruction:
How would you explain what the following Python 3 function does
def clear_results_db(session):
    '''Used to clear the result tables in the OEDB. Caution!
        This deletes EVERY RESULT SET!'''

    from egoio.db_tables.model_draft import EgoGridPfHvResultBus as BusResult,\
        EgoGridPfHvResultBusT as BusTResult,\
        EgoGridPfHvResultStorage as StorageResult,\
        EgoGridPfHvResultStorageT as StorageTResult,\
        EgoGridPfHvResultGenerator as GeneratorResult,\
        EgoGridPfHvResultGeneratorT as GeneratorTResult,\
        EgoGridPfHvResultLine as LineResult,\
        EgoGridPfHvResultLineT as LineTResult,\
        EgoGridPfHvResultLoad as LoadResult,\
        EgoGridPfHvResultLoadT as LoadTResult,\
        EgoGridPfHvResultTransformer as TransformerResult,\
        EgoGridPfHvResultTransformerT as TransformerTResult,\
        EgoGridPfHvResultMeta as ResultMeta
    print('Are you sure that you want to clear all results in the OEDB?')
    choice = ''
    while choice not in ['y', 'n']:
        choice = input('(y/n): ')
    if choice == 'y':
        print('Are you sure?')
        choice2 = ''
        while choice2 not in ['y', 'n']:
            choice2 = input('(y/n): ')
        if choice2 == 'y':
            print('Deleting all results...')
            session.query(BusResult).delete()
            session.query(BusTResult).delete()
            session.query(StorageResult).delete()
            session.query(StorageTResult).delete()
            session.query(GeneratorResult).delete()
            session.query(GeneratorTResult).delete()
            session.query(LoadResult).delete()
            session.query(LoadTResult).delete()
            session.query(LineResult).delete()
            session.query(LineTResult).delete()
            session.query(TransformerResult).delete()
            session.query(TransformerTResult).delete()
            session.query(ResultMeta).delete()
            session.commit()
        else:
            print('Deleting aborted!')
    else:
        print('Deleting aborted!')

Response: This function deletes all the tables in the database.


Instruction:
Explain what the following Python 3 code does
def results_to_oedb(session, network, args, grid='hv', safe_results=False):
    # Update generator_ids when k_means clustering to get integer ids
    if args['network_clustering_kmeans'] != False:
        new_index=pd.DataFrame(index = network.generators.index)
        new_index['new']=range(len(network.generators))

        for col in (network.generators_t):
            if not network.generators_t[col].empty:
                network.generators_t[col].columns =\
                    new_index.new[network.generators_t[col].columns]

        network.generators.index = range(len(network.generators))

    # moved this here to prevent error when not using the mv-schema
    import datetime
    if grid.lower() == 'mv':
        print('MV currently not implemented')
    elif grid.lower() == 'hv':
        from egoio.db_tables.model_draft import\
            EgoGridPfHvResultBus as BusResult,\
            EgoGridPfHvResultBusT as BusTResult,\
            EgoGridPfHvResultStorage as StorageResult,\
            EgoGridPfHvResultStorageT as StorageTResult,\
            EgoGridPfHvResultGenerator as GeneratorResult,\
            EgoGridPfHvResultGeneratorT as GeneratorTResult,\
            EgoGridPfHvResultLine as LineResult,\
            EgoGridPfHvResultLineT as LineTResult,\
            EgoGridPfHvResultLoad as LoadResult,\
            EgoGridPfHvResultLoadT as LoadTResult,\
            EgoGridPfHvResultTransformer as TransformerResult,\
            EgoGridPfHvResultTransformerT as TransformerTResult,\
            EgoGridPfHvResultMeta as ResultMeta,\
            EgoGridPfHvSource as Source
    else:
        print('Please enter mv or hv!')

    print('Uploading results to db...')
    # get last result id and get new one
    last_res_id = session.query(func.max(ResultMeta.result_id)).scalar()
    if last_res_id == None:
        new_res_id = 1
    else:
        new_res_id = last_res_id + 1

    # result meta data
    res_meta = ResultMeta()
    meta_misc = []
    for arg, value in args.items():
        if arg not in dir(res_meta) and arg not in ['db', 'lpfile',
                                                     'results', 'export']:
            meta_misc.append([arg, str(value)])

    res_meta.result_id = new_res_id
    res_meta.scn_name = args['scn_name']
    res_meta.calc_date = datetime.datetime.now()
    res_meta.user_name = args['user_name']
    res_meta.method = args['method']
    res_meta.start_snapshot = args['start_snapshot']
    res_meta.end_snapshot = args['end_snapshot']
    res_meta.safe_results = safe_results
    res_meta.snapshots = network.snapshots.tolist()
    res_meta.solver = args['solver']
    res_meta.settings = meta_misc

    session.add(res_meta)
    session.commit()

    # get source_id
    sources = pd.read_sql(session.query(Source).statement, session.bind)
    for gen in network.generators.index:
        if network.generators.carrier[gen] not in sources.name.values:
            new_source = Source()
            new_source.source_id = session.query(
                func.max(Source.source_id)).scalar()+1
            new_source.name = network.generators.carrier[gen]
            session.add(new_source)
            session.commit()
            sources = pd.read_sql(
                    session.query(Source).statement, session.bind)
        try:
            old_source_id = int(
                sources.source_id[
                        sources.name == network.generators.carrier[gen]])
            network.generators.set_value(gen, 'source', int(old_source_id))
        except:
            print(
                'Source ' + network.generators.carrier[gen] +
                ' is not in the source table!')
    for stor in network.storage_units.index:
        if network.storage_units.carrier[stor] not in sources.name.values:
            new_source = Source()
            new_source.source_id = session.query(
                func.max(Source.source_id)).scalar()+1
            new_source.name = network.storage_units.carrier[stor]
            session.add(new_source)
            session.commit()
            sources = pd.read_sql(
                    session.query(Source).statement, session.bind)
        try:
            old_source_id = int(
                sources.source_id[
                        sources.name == network.storage_units.carrier[stor]])
            network.storage_units.set_value(stor, 'source', int(old_source_id))
        except:
            print(
                'Source ' + network.storage_units.carrier[stor] +
                ' is not in the source table!')

    whereismyindex = {BusResult: network.buses.index,
                      LoadResult: network.loads.index,
                      LineResult: network.lines.index,
                      TransformerResult: network.transformers.index,
                      StorageResult: network.storage_units.index,
                      GeneratorResult: network.generators.index,
                      BusTResult: network.buses.index,
                      LoadTResult: network.loads.index,
                      LineTResult: network.lines.index,
                      TransformerTResult: network.transformers.index,
                      StorageTResult: network.storage_units.index,
                      GeneratorTResult: network.generators.index}

    whereismydata = {BusResult: network.buses,
                     LoadResult: network.loads,
                     LineResult: network.lines,
                     TransformerResult: network.transformers,
                     StorageResult: network.storage_units,
                     GeneratorResult: network.generators,
                     BusTResult: network.buses_t,
                     LoadTResult: network.loads_t,
                     LineTResult: network.lines_t,
                     TransformerTResult: network.transformers_t,
                     StorageTResult: network.storage_units_t,
                     GeneratorTResult: network.generators_t}

    new_to_old_name = {'p_min_pu_fixed': 'p_min_pu',
                       'p_max_pu_fixed': 'p_max_pu',
                       'dispatch': 'former_dispatch',
                       'current_type': 'carrier',
                       'soc_cyclic': 'cyclic_state_of_charge',
                       'soc_initial': 'state_of_charge_initial'}

    ormclasses = [BusResult, LoadResult, LineResult, TransformerResult,
                  GeneratorResult, StorageResult, BusTResult, LoadTResult,
                  LineTResult, TransformerTResult, GeneratorTResult,
                  StorageTResult]

    for ormclass in ormclasses:
        for index in whereismyindex[ormclass]:
            myinstance = ormclass()
            columns = ormclass.__table__.columns.keys()
            columns.remove('result_id')
            myinstance.result_id = new_res_id
            for col in columns:
                if '_id' in col:
                    class_id_name = col
                else:
                    continue
            setattr(myinstance, class_id_name, index)
            columns.remove(class_id_name)

            if str(ormclass)[:-2].endswith('T'):
                for col in columns:
                    if col == 'soc_set':
                        try:
                            setattr(myinstance, col, getattr(
                                whereismydata[ormclass],
                                'state_of_charge_set')[index].tolist())
                        except:
                            pass
                    else:
                        try:
                            setattr(myinstance, col, getattr(
                                whereismydata[ormclass], col)[index].tolist())
                        except:
                            pass
                session.add(myinstance)

            else:
                for col in columns:
                    if col in new_to_old_name:
                        if col == 'soc_cyclic':
                            try:
                                setattr(myinstance, col, bool(
                                    whereismydata[ormclass].loc[index,
                                                 new_to_old_name[col]]))
                            except:
                                pass
                        elif 'Storage' in str(ormclass) and col == 'dispatch':
                            try:
                                setattr(myinstance, col,
                                        whereismydata[ormclass].loc[index, col])
                            except:
                                pass
                        else:
                            try:
                                setattr(
                                    myinstance, col, whereismydata[ormclass].\
                                    loc[index, new_to_old_name[col]])
                            except:
                                pass
                    elif col in ['s_nom_extendable', 'p_nom_extendable']:
                        try:
                            setattr(myinstance, col, bool(
                                whereismydata[ormclass].loc[index, col]))
                        except:
                            pass
                    else:
                        try:
                            setattr(myinstance, col,
                                    whereismydata[ormclass].loc[index, col])
                        except:
                            pass
                session.add(myinstance)

        session.commit()
    print('Upload finished!')

    return

Response: Return results obtained from PyPSA to Oedb


Instruction:
Can you generate the documentation for the following Python 3 function
def run_sql_script(conn, scriptname='results_md2grid.sql'):

    script_dir = os.path.abspath(
        os.path.join(os.path.dirname(__file__), 'sql_scripts'))
    script_str = open(os.path.join(script_dir, scriptname)).read()
    conn.execution_options(autocommit=True).execute(script_str)

    return

Response: This function runs the sql script in the folder sql_scripts


Instruction:
Can you generate a brief explanation for the following Python 3 code
def extension (network, session, version, scn_extension, start_snapshot,
               end_snapshot, **kwargs):
    """
    Function that adds an additional network to the existing network container.
    The new network can include every PyPSA-component (e.g. buses, lines, links).
    To connect it to the existing network, transformers are needed.

    All components and its timeseries of the additional scenario need to be inserted in the fitting 'model_draft.ego_grid_pf_hv_extension_' table.
    The scn_name in the tables have to be labled with 'extension_' + scn_name (e.g. 'extension_nep2035').

    Until now, the tables include three additional scenarios:
    'nep2035_confirmed': all new lines and needed transformers planed in the 'Netzentwicklungsplan 2035' (NEP2035) that have been confirmed by the Bundesnetzagentur (BNetzA)

    'nep2035_b2': all new lines and needed transformers planned in the NEP 2035 in the scenario 2035 B2

    'BE_NO_NEP 2035': DC-lines and transformers to connect the upcomming electrical-neighbours Belgium and Norway
     Generation, loads and its timeseries in Belgium and Norway for scenario 'NEP 2035'

     Parameters
     -----
          network : The existing network container (e.g. scenario 'NEP 2035')
          session : session-data
          overlay_scn_name : Name of the additional scenario (WITHOUT 'extension_')
          start_snapshot, end_snapshot: Simulation time

    Returns
    ------
          network : Network container including existing and additional network

    """

    if version is None:
       ormcls_prefix = 'EgoGridPfHvExtension'
    else:
        ormcls_prefix = 'EgoPfHvExtension'

    # Adding overlay-network to existing network
    scenario = NetworkScenario(session,
                               version = version,
                               prefix=ormcls_prefix,
                               method=kwargs.get('method', 'lopf'),
                               start_snapshot=start_snapshot,
                               end_snapshot=end_snapshot,
                               scn_name='extension_' + scn_extension)

    network = scenario.build_network(network)

    # Allow lossless links to conduct bidirectional
    network.links.loc[network.links.efficiency == 1.0, 'p_min_pu'] = -1

    # Set coordinates for new buses
    extension_buses = network.buses[network.buses.scn_name ==
                                    'extension_' + scn_extension]
    for idx, row in extension_buses.iterrows():
            wkt_geom = to_shape(row['geom'])
            network.buses.loc[idx, 'x'] = wkt_geom.x
            network.buses.loc[idx, 'y'] = wkt_geom.y

    return network

Response: Function that adds an additional network to the existing network container.


Instruction:
Create a Python 3 function to
function that removes components in a decommissioning scenario from the network container.

Response:
def decommissioning(network, session, args, **kwargs):
    """
    Function that removes components in a decommissioning-scenario from
    the existing network container.
    Currently, only lines can be decommissioned.

    All components of the decommissioning scenario need to be inserted in
    the fitting 'model_draft.ego_grid_pf_hv_extension_' table.
    The scn_name in the tables have to be labled with 'decommissioning_'
    + scn_name (e.g. 'decommissioning_nep2035').

    Parameters
    -----
        network : The existing network container (e.g. scenario 'NEP 2035')
        session : session-data
        overlay_scn_name : Name of the decommissioning scenario

    Returns
    ------
        network : Network container including decommissioning

    """

    if args['gridversion'] == None:
        ormclass = getattr(import_module('egoio.db_tables.model_draft'),
                           'EgoGridPfHvExtensionLine')
    else:
        ormclass = getattr(import_module('egoio.db_tables.grid'),
                           'EgoPfHvExtensionLine')

    query = session.query(ormclass).filter(
                        ormclass.scn_name == 'decommissioning_' +
                        args['scn_decommissioning'])

    df_decommisionning = pd.read_sql(query.statement,
                         session.bind,
                         index_col='line_id')
    df_decommisionning.index = df_decommisionning.index.astype(str)

    for idx, row in network.lines.iterrows():
        if (row['s_nom_min'] !=0) & (
            row['scn_name'] =='extension_' + args['scn_decommissioning']):
                v_nom_dec = df_decommisionning['v_nom'][(
                 df_decommisionning.project == row['project']) & (
                         df_decommisionning.project_id == row['project_id'])]

                if (v_nom_dec == 110).any():
                    network.lines.s_nom_min[network.lines.index == idx]\
                    = args['branch_capacity_factor']['HV'] *\
                    network.lines.s_nom_min

                else:
                    network.lines.s_nom_min[network.lines.index == idx] =\
                    args['branch_capacity_factor']['eHV'] *\
                    network.lines.s_nom_min

    ### Drop decommissioning-lines from existing network
    network.lines = network.lines[~network.lines.index.isin(
            df_decommisionning.index)]

    return network


Instruction:
Can you generate the documentation for the following Python 3 function
def distance(x0, x1, y0, y1):
    # Calculate square of the distance between two points (Pythagoras)
    distance = (x1.values- x0.values)*(x1.values- x0.values)\
        + (y1.values- y0.values)*(y1.values- y0.values)
    return distance

Response: Function that calculates the square of the distance between two points.