Zeitpunkt Nutzer Delta Tröts TNR Titel Version maxTL Di 23.07.2024 00:00:29 51.742 +49 2.213.035 42,8 Vivaldi Social 4.2.10 1.337 Mo 22.07.2024 00:00:32 51.693 +27 2.209.656 42,7 Vivaldi Social 4.2.10 1.337 So 21.07.2024 00:01:00 51.666 +39 2.206.038 42,7 Vivaldi Social 4.2.10 1.337 Sa 20.07.2024 00:00:00 51.627 +15 2.202.571 42,7 Vivaldi Social 4.2.10 1.337 Fr 19.07.2024 13:57:34 51.612 +74 2.201.079 42,6 Vivaldi Social 4.2.10 1.337 Do 18.07.2024 00:02:08 51.538 +37 2.196.543 42,6 Vivaldi Social 4.2.10 1.337 Mi 17.07.2024 00:02:01 51.501 +40 2.193.235 42,6 Vivaldi Social 4.2.10 1.337 Di 16.07.2024 00:01:34 51.461 +50 2.190.243 42,6 Vivaldi Social 4.2.10 1.337 Mo 15.07.2024 00:01:57 51.411 +38 2.187.141 42,5 Vivaldi Social 4.2.10 1.337 So 14.07.2024 00:00:17 51.373 0 2.183.921 42,5 Vivaldi Social 4.2.10 1.337
pelavarre (@pelavarre) · 11/2022 · Tröts: 1.842 · Folger: 61
Di 23.07.2024 23:45
# Our Solution
Work inside Import ZoneInfo, since Oct/2020 Python 3.9
## Terminal Sh Python Queries
for TZ in America/Los_Angeles America/Denver; do
python3 -c '''
import datetime as dt
import zoneinfo # new since Oct/2020 Python 3.9
pacific = zoneinfo.ZoneInfo("America/Los_Angeles")
ymd = "2024-07-23"
naive = dt.datetime.fromisoformat(ymd)
n = naive
ymd_pacific = dt.datetime(n.year, n.month, n.day, tzinfo=pacific)
stamp = int(ymd_pacific.timestamp())
print(naive)
print(ymd_pacific)
print(stamp)
'''
done
## Results, same in both Timezones
2024-07-23 00:00:00
2024-07-23 00:00:00-07:00
1721718000
<=
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