我该怎么做？
sample_generator = get_sample_generator() # This generator yields tuples (label(i), data(i))
label_generator = ???
data_generator = ???
processed_data_generator = process_data_generator(data_generator)
processed_sample_generator = zip(label_generator, processed_data_generator) # Labels and corresponding data again as tupel (label(i), processed_data(i))
显然，我不能只是将 sample_generator 映射（）到标签和数据生成器中，因为两者都会将 sample_generator 向前移动......
使用itertools.tee一个发电机分成2。你仍然需要单独的进程分裂所产生的价值。
from itertools import count
def generator():
for c in count():
yield 'label {}'.format(c), 'data {}'.format(c)
from itertools import tee
label_generator, data_generator = tee(generator())
print("labels:")
for _ in range(5):
print(next(label_generator)[0])
print()
print("data:")
for _ in range(5):
print(next(data_generator)[1])
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我来说两句