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Python Array.append方法代码示例

本文整理汇总了Python中multiprocessing.Array.append方法的典型用法代码示例。如果您正苦于以下问题:Python Array.append方法的具体用法?Python Array.append怎么用?Python Array.append使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在multiprocessing.Array的用法示例。


在下文中一共展示了Array.append方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: __init__

# 需要导入模块: from multiprocessing import Array [as 别名]
# 或者: from multiprocessing.Array import append [as 别名]
class SynapseEnvironment:
    def __init__(self, noise=0.0):
        def beta(maximum, rate=1.0):
            return betav(maximum, noise=noise, rate=rate)
        self.beta = beta

        self.prev_concentrations = []
        self.next_concentrations = []

    def initialize(self):
        # Create thread safe arrays.
        self.prev_concentrations = Array('d', self.prev_concentrations, lock=False)
        self.next_concentrations = Array('d', self.next_concentrations, lock=False)
        self.dirty = Value('b', True, lock=False)
        
    def register(self, baseline_concentration):
        pool_id = len(self.prev_concentrations)
        self.prev_concentrations.append(baseline_concentration)
        self.next_concentrations.append(baseline_concentration)
        return pool_id

    def get_concentration(self, pool_id):
        try: self.dirty
        except: self.initialize()
        return self.prev_concentrations[pool_id]

    def set_concentration(self, pool_id, new_concentration):
        try: self.dirty.value = True
        except: self.initialize()
        self.next_concentrations[pool_id] = new_concentration

    def add_concentration(self, pool_id, molecules):
        try: self.dirty.value = True
        except: self.initialize()
        self.next_concentrations[pool_id] += molecules

    def remove_concentration(self, pool_id, molecules):
        try: self.dirty.value = True
        except: self.initialize()
        self.next_concentrations[pool_id] -= molecules
        self.next_concentrations[pool_id] = \
            max(0.0, self.next_concentrations[pool_id])

    def step(self):
        """
        Cycles the environment.
        Returns whether the environment is stable (not dirty, no changes)
        """
        try: self.dirty
        except: self.initialize()
        if self.dirty.value:
            self.dirty.value = False
            for i in xrange(len(self.prev_concentrations)):
                self.prev_concentrations[i]=self.next_concentrations[i]
            return False
        else: return True
开发者ID:vicariousgreg,项目名称:neurotransmissionModel,代码行数:58,代码来源:environment.py


注:本文中的multiprocessing.Array.append方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。