尝试在python中为数据集模式创建自己的实现。

class MyDataset:
    def __init__(self, data):
        self.data = data

    def __iter__(self):
        for item in self.data:
            yield item

    def filter(self, condition):
        filtered_data = [item for item in self.data if condition(item)]
        return MyDataset(filtered_data)

    def map(self, transform):
        transformed_data = [transform(item) for item in self.data]
        return MyDataset(transformed_data)

    def reduce(self, aggregator, initial=None):
        result = initial
        for item in self.data:
            result = aggregator(result, item)
        return result

# 创建数据集实例
dataset = MyDataset([1, 2, 3, 4, 5])

# 迭代数据集
for item in dataset:
    print(item)

# 过滤数据
filtered_dataset = dataset.filter(lambda x: x % 2 == 0)

# 转换数据
mapped_dataset = dataset.map(lambda x: x * 2)

# 聚合数据
sum_result = dataset.reduce(lambda x, y: x + y)

print(sum_result)