I added functions to the private "pytime" library to convert timestamps from/to various formats. I expected to spend a few days, at the end I spent 3 years (2012-2015) on them!

Python 3.3

In 2012, I proposed the PEP 410 -- Use decimal.Decimal type for timestamps because storing timestamps as floating point numbers looses precision. The PEP was rejected because it modified many functions and had a bad API. At least, os.stat() got 3 new fields (atime_ns, mtime_ns, ctime_ns): timestamps as a number of nanoseconds (int).

My PEP 418 -- Add monotonic time, performance counter, and process time functions was accepted, Python 3.3 got a new time.monotonic() function (and a few others). Again, I spent much more time than I expected on a problem which looked simple at the first look.

With the issue #14180, I added functions to convert timestamps to the private "pytime" API to factorize the code of various modules. Timestamps were rounded towards +infinity (ROUND_CEILING), but it was not a deliberate choice.

Python 3.4

To fix correctly a performance issue in asyncio (issue20311), I added two rounding modes to the pytime API: _PyTime_ROUND_DOWN (round towards zero), and _PyTime_ROUND_UP (round away from zero). Polling for events (ex: using select.select()) with a non-zero timestamp must not call the underlying C level in non-blocking mode.

Python 3.5

When working on the issue #22117, I noticed that the implementation of rounding methods was buggy for negative timestamps. I replaced the _PyTime_ROUND_DOWN with _PyTime_ROUND_FLOOR (round towards minus infinity), and _PyTime_ROUND_UP with _PyTime_ROUND_CEILING (round towards infinity).

This issue also introduced a new private _PyTime_t type to support nanosecond resolution. The type is an opaque integer type to store timestamps. In practice, it's a signed 64-bit integer. Since it's an integer, it's easy and natural to compute the sum or differecence of two timestamps: t1 + t2 and t2 - t1. I added _PyTime_XXX() functions to create a timestamp and _PyTime_AsXXX() functions to convert a timestamp to a different format.

I had to keep three _PyTime_ObjectToXXX() functions for fromtimestamp() methods of the datetime module. These methods must support extreme timestamps (year 1..9999), whereas _PyTime_t is "limited" to a delta of +/- 292 years (year 1678..2262).

Python 3.6

In 2015, the issue #23517 reported that Python 2 and Python 3 don't use the same rounding method in datetime.datetime.fromtimestamp(): there was a difference of 1 microsecond.

After a long discussion, I modified fromtimestamp() methods of the datetime module to round to nearest with ties going away from zero (ROUND_HALF_UP), as done in Python 2.7, as round() in all Python versions.


It took me three years to stabilize the API and fix all issues. Well, I didn't spend all my days on it, but it shows that handling time is not a simple issue.

At the Python level, nothing changed, timestamps are still stored as float (except of the 3 new fieleds of os.stat()).

Python 3.5 only supports timezones with fixed offset, it does not support the locale timestamp for example. Timezones are still an hot topic: the datetime-sig mailing list was created to enhance timezone support in Python.