numba 6.@jitclass

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@jitclass                                     #编译Python类,为类生成代码,并指定每个字段的类型.

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@jitclass                                     #编译Python类,为类生成代码,并指定每个字段的类型.



from numba import jitclass

from numba import int32, float32



spec = [ ('value', int32), ('array', float32[:]),  ]



@jitclass(spec)

class Bag(object):

    def __init__(self, value):          #必须定义,否则包含垃圾数据

        self.value = value

        self.array = np.zeros(value, dtype=np.float32)



    @property

    def size(self):                          #可定义方法和属性(仅限getter和setter)

        return self.array.size



    def increment(self, val):

        for i in range(self.size):

            self.array[i] = val

        return self.array



a=Bag(4)

a.size

a.increment(100)# array([100., 100., 100., 100., 100.],dtype=float32)

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来源：CSDN

作者：tcy23456

链接：https://blog.csdn.net/tcy23456/article/details/103963048