Redo documentation to make it easier to read

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Trent Houliston 2016-09-28 01:01:59 +10:00
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@ -760,32 +760,82 @@ Please refer to the supplemental example for details.
C++11 chrono datatypes C++11 chrono datatypes
====================== ======================
When including the additional header file :file:`pybind11/chrono.h` conversions from c++11 chrono datatypes
to corresponding python datetime objects are automatically enabled.
The following rules describe how the conversions are applied.
When passed to python objects of type ``std::chrono::system_clock::time_point`` are converted into datetime.datetime objects. When including the additional header file :file:`pybind11/chrono.h` conversions
These objects are those that specifically come from the system_clock as this is the only clock that measures wall time. from C++11 chrono datatypes to python datetime objects are automatically enabled.
This header also enables conversions of python floats (often from sources such
as `time.monotonic()`, `time.perf_counter()` and `time.process_time()`) into
durations.
When passed to python of type ``std::chrono::[other_clock]::time_point`` are converted into datetime.timedelta objects. An overview of clocks in C++11
These objects are those that come from all clocks that are not the system_clock (e.g. steady_clock). ------------------------------
Clocks other than the system_clock are not measured from wall date/time and instead have any start time
(often when the computer was turned on).
Therefore as these clocks can only measure time from an arbitrary start point they are represented as timedelta from this start point.
When passed to python of type ``std::chrono::duration`` are converted into datetime.timedelta objects. A point of confusion when using these conversions is the differences between
clocks provided in C++11. There are three clock types defined by the C++11
standard and users can define their own if needed. Each of these clocks have
different properties and when converting to and from python will give different
results.
When python objects are passed to c++ for the case of non system clocks and durations instances of both datetime.timedelta The first clock defined by the standard is ``std::chrono::system_clock``. This
and float are accepted. The float arguments are interpreted as a number of seconds since the epoch. clock measures the current date and time. However, this clock changes with to
updates to the operating system time. For example, if your time is synchronised
with a time server this clock will change. This makes this clock a poor choice
for timing purposes but good for measuring the wall time.
.. note:: The second clock defined in the standard is ``std::chrono::steady_clock``.
This clock ticks at a steady rate and is never adjusted. This makes it excellent
for timing purposes, however the value in this clock does not correspond to the
current date and time. Often this clock will be the amount of time your system
has been on, although it does not have to be. This clock will never be the same
clock as the system clock as the system clock can change but steady clocks
cannot.
Other clocks may be the same as system_clock. For example on many platforms std::high_resolution_clock is the same as system_clock. The third clock defined in the standard is ``std::chrono::high_resolution_clock``.
Because of this if you are converting a timepoint from one of these clocks they may appear to python as a datetime.datetime object. This clock is the clock that has the highest resolution out of the clocks in the
system. It is normally a typedef to either the system clock or the steady clock
but can be its own independent clock. This is important as when using these
conversions as the types you get in python for this clock might be different
depending on the system.
If it is a typedef of the system clock, python will get datetime objects, but if
it is a different clock they will be timedelta objects.
Pythons datetime implementation is limited to microsecond precision. Conversions Provided
The extra precision that c++11 clocks can have have (nanoseconds) will be lost upon conversion. --------------------
The rounding policy from c++ to python is via ``std::chrono::duration_cast<>`` (rounding towards 0 in microseconds).
C++ to Python
- ``std::chrono::system_clock::time_point````datetime.datetime``
System clock times are converted to python datetime instances. They are
in the local timezone, but do not have any timezone information attached
to them (they are naive datetime objects).
- ``std::chrono::duration````datetime.timedelta``
Durations are converted to timedeltas, any precision in the duration
greater than microseconds is lost by rounding towards zero.
- ``std::chrono::[other_clocks]::time_point````datetime.timedelta``
Any clock time that is not the system clock is converted to a time delta. This timedelta measures the time from the clocks epoch to now.
Python to C++
- ``datetime.datetime````std::chrono::system_clock::time_point``
Date/time objects are converted into system clock timepoints. Any
timezone information is ignored and the type is treated as a naive
object.
- ``datetime.timedelta````std::chrono::duration``
Time delta are converted into durations with microsecond precision.
- ``datetime.timedelta````std::chrono::[other_clocks]::time_point``
Time deltas that are converted into clock timepoints are treated as
the amount of time from the start of the clocks epoch.
- ``float````std::chrono::duration``
Floats that are passed to C++ as durations be interpreted as a number of
seconds. These will be converted to the duration using ``duration_cast``
from the float.
- ``float````std::chrono::[other_clocks]::time_point``
Floats that are passed to C++ as time points will be interpreted as the
number of seconds from the start of the clocks epoch.
Return value policies Return value policies
===================== =====================
@ -853,7 +903,7 @@ The following table provides an overview of the available return value policies:
| | ``keep_alive<0, 1>`` *call policy* (described in the next section) that | | | ``keep_alive<0, 1>`` *call policy* (described in the next section) that |
| | prevents the parent object from being garbage collected as long as the | | | prevents the parent object from being garbage collected as long as the |
| | return value is referenced by Python. This is the default policy for | | | return value is referenced by Python. This is the default policy for |
| | property getters created via ``def_property``, ``def_readwrite``, etc.) | | | property getters created via ``def_property``, ``def_readwrite``, etc. |
+--------------------------------------------------+----------------------------------------------------------------------------+ +--------------------------------------------------+----------------------------------------------------------------------------+
.. warning:: .. warning::