问题描述
我写的
@ray.remote
def check(word,words):
valid_ciphertexts = []
for key in range(26):
ciphertext = shift(word,key)
if ciphertext in words:
valid_ciphertexts.append(ciphertext)
else:
valid_ciphertexts.append(None)
return valid_ciphertexts
if __name__ == '__main__':
words = set()
with open(sys.argv[1],'r') as lexicon:
for word in lexicon:
words.add(word.strip())
ray.init()
results = ray.get([check.remote(word,words) for word in words])
with open(sys.argv[2],'w',newline='') as f:
writer = csv.writer(f)
writer.writerow([key for key in range(26)])
writer.writerows(results)
由于并行处理了对 check
的数十万次调用,我原以为所有内核的使用率都会很高,但仪表板却显示了这一点:
为什么会这样?
解决方法
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