Python Output.reset方法代码示例

# 需要导入模块: from output import Output [as 别名]
# 或者: from output.Output import reset [as 别名]
class ContextAggregator(object):
    """database class"""
    AGGREGATION_MODE = 0
    SINGLE_ONLY_MODE = 1

    MAX_TAU = "max_tau"
    PM = "propagation_mode"
    defaults = {MAX_TAU:0, PM:AGGREGATION_MODE}

    def is_single_only_mode(self):
        return self.configuration(ContextAggregator.PM) == ContextAggregator.SINGLE_ONLY_MODE

    def is_aggregation_mode(self):
        return self.configuration(ContextAggregator.PM) == ContextAggregator.AGGREGATION_MODE
    #
    # Initialization and Reset
    #

    def __init__(self, id = -1, config = None):
        self.id = id
        self.set_config(config)

        # inner data structure
        self.input = Input()
        self.context_database = ContextDatabase()
        self.assorted_context_database = AssortedContextDatabase()
        self.output = Output()
        self.context_history = ContextHistory()

        # instance variables for debugging purposes
        self.new_aggregate = None
        self.filtered_singles = None
        self.data = None
        self.average = None

    def get_data(self):
        return self.data

    def __reset(self):
        self.input.reset()
        self.context_database.reset()
        self.assorted_context_database.reset()
        self.output.reset()
        self.context_history.reset()

    def reset(self):
        """reset is for garbage collection in multiple data simulation.
        This is done for releasing memory for another simulation.
        """
        self.__reset()
        gc.collect()

    #
    # Sample
    #
    def get_sample(self):
        return self.configuration("sample")

    def get_sample_data(self):
        sample = self.get_sample()
        if sample is None:
            return None # sampled_value = -2 # default value is -1
        # [] works as an API
        return sample[self.id]

    #
    # Input
    #
    def get_input_dictionary(self):
        return self.input.dictionary

    def initalize_before_iteration(self):
        """initialization is needed for starting execution of dataflow
        """
        self.input.reset()

    #
    # Configuration methods
    #

    def get_config(self):
        return self.config

    def set_config(self, config):
        self.config = process_default_values(config, ContextAggregator.defaults)
        return self.config

    def get_current_sample(self):
        return self.current_sample

    def configuration(self, key):
        if key in self.config:
            return self.config[key]
        else:
            return None

    #
    # Database
    #

#.........这里部分代码省略.........