2022-06-27 19:58:54,809 INFO process group added: 'cancel'
2022-06-27 19:58:54,810 INFO supervisord started with pid 28472
2022-06-27 19:58:54,815 INFO Spawned: 'cancel' with pid 27220
2022-06-27 19:58:55,830 INFO success: cancel entered RUNNING state, process has stayed up for > than 1 seconds (startsecs)
2022-06-27 19:58:54,815 INFO Spawned: 'cancel' with pid 27220
2022-06-27 19:58:55,830 INFO success: cancel entered RUNNING state, process has stayed up for > than 1 seconds (startsecs)
2022-06-27 20:02:58,077 INFO exited: cancel (exit status 1; not expected)
2022-06-27 20:02:58,590 INFO Spawned: 'cancel' with pid 16640
2022-06-27 20:02:59,603 INFO success: cancel entered RUNNING state, process has stayed up for > than 1 seconds (startsecs)
可以看到， 20:02:58秒的时候 cancel 程序意外退出(exit status 1; not expected)，然后supervisord重新帮我们拉起了一个cancel程序，pid为16640：
(base) G:\push\20220623>python 1.py
Traceback (most recent call last):
File "1.py", line 12, in <module>
drawer.draw_locations(df[cpca._ADCODE], "df.html")
File "G:\Anaconda3\lib\site-packages\cpca\drawer.py", line 41, in draw_locations
import folium
ModuleNotFoundError: No module named 'folium'
from interval import interval
a = interval[1,5]
# interval([1.0, 5.0])
print(3 in a)
# True
此外，你还可以构建一个多区间：
from interval import interval
a = interval([0, 1], [2, 3], [10, 15])
print(2.5 in a)
# True
interval.hall 方法还可以将多个区间合并，取其最小及最大值为边界：
from interval import interval
a = interval.hull((interval[1, 3], interval[10, 15], interval[16, 2222]))
# interval([1.0, 2222.0])
print(1231 in a)
# True
区间并集计算：
from interval import interval
a = interval.union([interval([1, 3], [4, 6]), interval([2, 5], 9)])
# interval([1.0, 6.0], [9.0])
print(5 in a)
# True
print(8 in a)
# False
2016年Plos One 的另一项来自美国的研究以16179名，年龄在18岁以上的人群为对象，并对其进行了高达19年的随访，发现在4946例死亡患者中，食用辣椒的参与者的全因死亡率为21.6％，而未食用辣椒的参与者的全因死亡率为33.6％。相较于不吃辣或很少吃（少于每周两次）的人群，每周吃辣＞4次的人群总死亡风险降低23%，心血管死亡风险降低34%。
