quanttide-data-python
量潮数据工程Python工具包
安装
pip
安装
通过pip install quanttide-data
poetry
安装
通过poetry add quanttide-data
测试
poetry install
量潮数据工程Python工具箱
License: Apache License 2.0
quanttide-data-python
量潮数据工程Python工具包
pip
安装pip install quanttide-data
poetry
安装poetry add quanttide-data
poetry install
在Python语言Base类中有两种思路:
如果只要类型,就使用1;如果需要自定义类的创建行为,就需要2。也可以三个类同时定义
By ChatGPT:
在理论上,ProcessorMeta 元类可以用于创建 BaseProcessor 类和 Processor 类。可以通过在 ProcessorMeta 的 new 方法中进行逻辑判断,根据不同的情况来创建不同的类。但是,在实际应用中,这种方式可能会导致代码的可读性和可维护性变差,因此不是推荐的做法。
更好的做法是将 ProcessorMeta 元类用于创建 BaseProcessor 类,然后将 BaseProcessor 作为 Processor 类的基类。这样可以使代码更加清晰和易于理解。
下面是一个示例,演示了如何使用 ProcessorMeta 元类创建 BaseProcessor 类,然后将 BaseProcessor 作为 Processor 类的基类:
class ProcessorMeta(type):
def __new__(cls, name, bases, attrs):
# 在创建类的过程中,自动添加一个 process 方法
if 'process' not in attrs:
raise NotImplementedError('process method not implemented')
# 返回新创建的类
return super().__new__(cls, name, bases, attrs)
class BaseProcessor(metaclass=ProcessorMeta):
def __init__(self):
self.name = 'BaseProcessor'
def process(self, data):
raise NotImplementedError('process method not implemented')
class Processor(BaseProcessor):
def __init__(self):
super().__init__()
self.name = 'Processor'
def process(self, data):
print(f'{self.name} processing {data}')
processor = Processor()
processor.process('some data')
在这个示例中,ProcessorMeta 元类用于创建 BaseProcessor 类。BaseProcessor 类中包含了一个名为 process 的抽象方法,该方法在 ProcessorMeta 元类的 new 方法中被自动添加。Processor 类继承自 BaseProcessor,并重写了 process 方法,实现了具体的处理逻辑。
需要注意的是,ProcessorMeta 元类、BaseProcessor 类和 Processor 类这三个类只是一个示例,实际中我们可以根据需求定义不同的元类、基类和继承类,来实现不同的功能。
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