interpolate.linear ignores timezones

> 2023-03-25 01:00:00
7104
2023-03-26 00:00:00
7109
2023-03-26 01:00:00
7109
2023-03-27 02:00:00
7114
2023-03-28 02:00:00
7120
2023-03-29 02:00:00
7125
2023-03-30 02:00:00
7130
2023-03-31 02:00:00
7135
2023-04-01 02:00:00
7140
2023-04-02 00:00:00
7145

My data comes in on a weekly basis. See entries at 00:00

When using "interpolate.linear(every: 1d)" to get the missing values the function will use UTC time.
For the days I already have data it will add a second entry. And all these timestamps are 1:00 or 2:00 (summertime).

Is there a way interpolate.linear can use 0:00 at the given timezone instead of using 0:00 UTC ?

Start by locating the interpolate.linear implementation and its handling of timestamps and timezones. Reproduce the supplied data across the daylight-saving transition, then verify that daily interpolation uses 00:00 in the given timezone without adding duplicate entries for existing points.

Written by the indexing model from the issue text.