Question

我使用Python 3.5编辑列表，在本例中为predictions_dict['D']，包含在字典predictions_dict中。这是我使用的代码：

import multiprocessing as multip

predictions_dict = {'A': [],
                    'B': [],
                    'C': [],
                    'D': [],
                    'E': [],
                    'F': [],
                    'Def': []}

data = [{'index': 1, 'rank': 'A'}, {'index': 2, 'rank': 'D'}, {'index': 3, 'rank': 'E'}]
prediction = [(1, 'C'), (2, 'D'), (3, 'D')]


def create_predictions_dict(index, rank):
    for j in data:
        if j['index'] == index:
            predictions_dict[rank].append((index, j['rank'], rank))
            break

np = multip.cpu_count()
p = multip.Pool(processes=np)
_ = p.starmap(create_predictions_dict, prediction)
p.close()
p.join()

print('final list:', predictions_dict['D'])

当我执行此代码时，我得到的输出是：

final list: []

我不明白为什么，正如我期望的那样：

final list: [(2, 'D', 'D'), (3, 'E', 'D')]

Answer 1

我已经制定了一个解决方案，这要归功于在评论中，问题被确定为流程不共享状态的事实：

import multiprocessing as multip

predictions_dict = {'A': [],
                    'B': [],
                    'C': [],
                    'D': [],
                    'E': [],
                    'F': [],
                    'Def': []}

data = [{'index': 1, 'rank': 'A'}, {'index': 2, 'rank': 'D'}, {'index': 3, 'rank': 'E'}]
prediction = [(1, 'C'), (2, 'D'), (3, 'D')]


def create_predictions_dict(index, rank):
    for j in data:
        if j['index'] == index:
            return index, j['rank'], rank

np = multip.cpu_count()
p = multip.Pool(processes=np)
sk = p.starmap(create_predictions_dict, prediction)
p.close()
p.join()

for elem in sk:
    predictions_dict[elem[2]].append(elem)

print('final list:', predictions_dict['D'])

使用多处理追加值时获取空列表

1 个答案: