Python Threadpool映射似乎正在挂起

Question

这段Python线程池代码似乎只执行repoPathList的一个条目，然后什么也不做。它可能会挂起。我不确定两个并行化级别是否有问题。这是简短的代码： 它仅打印此行print("STARTED:" + repoPath)，而在第一个映射函数print("COMPLETED:" + repoPath)中永远不会到达此行computeRepoMetrics(repoPath)。然后，它将不再处理repoPathList的另一个条目。我的并行化有问题吗？

repoPathList = ["/Users/soft/PycharmProjects/Pydriller/gitRepos/attic-whirr",
                "/Users/soft/PycharmProjects/Pydriller/gitRepos/sqoop",
                "/Users/soft/PycharmProjects/Pydriller/gitRepos/ranger",
                "/Users/soft/PycharmProjects/Pydriller/gitRepos/falcon"
                "/Users/soft/PycharmProjects/Pydriller/gitRepos/aries"]
def computeRepoMetrics(repoPath):
    print("STARTED:" + repoPath)
    gr = GitRepository(repoPath)
    parallelMetricProcessing(analyzeCommits(repoPath,gr), calculateStructAndSemanticScattering(gr), 30,gr)
    print("COMPLETED:" + repoPath)

def parallelMetricProcessing(intervalsData, scatteringFilePairData, threads,gr):
    tupledIntervalsData =[]
    for i in range(len(intervalsData)):
        if i > 0:
         tupledIntervalsData.append((intervalsData[i],intervalsData[i-1],i))
        else:
         tupledIntervalsData.append((intervalsData[i], [],i))
    data = map((lambda x: (x,scatteringFilePairData,gr)), tupledIntervalsData)
    pool = ThreadPool(threads)
    pool.map(compute_fileMetrics, data)
    pool.close()
    pool.join()

def main():
    pool = ThreadPool(5)
    pool.map(computeRepoMetrics, repoPathList)
    pool.close()
    pool.join()