mirror of
https://github.com/m-labs/artiq.git
synced 2024-12-05 01:36:39 +08:00
77 lines
2.6 KiB
ReStructuredText
77 lines
2.6 KiB
ReStructuredText
FAQ
|
|
###
|
|
|
|
How do I ...
|
|
============
|
|
|
|
prevent my first RTIO command from causing an underflow?
|
|
--------------------------------------------------------
|
|
|
|
The RTIO timestamp counter starts counting at zero at the beginning of the first kernel run on the core device. The first RTIO event is programmed with a small timestamp above zero. If the kernel needs more time than this timestamp to produce the event, an underflow will occur. You can prevent it by calling ``break_realtime`` just before programming the first event.
|
|
|
|
override the `sysclk` frequency of just one DDS?
|
|
------------------------------------------------
|
|
|
|
Override the parameter using an argument in the DDB.
|
|
|
|
organize parameters in folders?
|
|
-------------------------------
|
|
|
|
Use GUI auto-completion and filtering.
|
|
Names need to be unique.
|
|
|
|
enforce functional dependencies between parameters?
|
|
---------------------------------------------------
|
|
|
|
If you want to override a parameter ``b`` in the PDB to be ``b = 2*a``,
|
|
use wrapper experiments, overriding parameters by passing them to the
|
|
experiment's constructor.
|
|
|
|
get rid of ``DBKeys``?
|
|
----------------------
|
|
|
|
``DBKeys`` references keys in PDB, DDB and RDB.
|
|
|
|
write a generator feeding a kernel feeding an analyze function?
|
|
---------------------------------------------------------------
|
|
|
|
Like this::
|
|
|
|
def run(self):
|
|
self.parse(self.pipe(iter(range(10))))
|
|
|
|
def pipe(self, gen):
|
|
for i in gen:
|
|
r = self.do(i)
|
|
yield r
|
|
|
|
def parse(self, gen):
|
|
for i in gen:
|
|
pass
|
|
|
|
@kernel
|
|
def do(self, i):
|
|
return i
|
|
|
|
create and use variable lengths arrays in kernels?
|
|
--------------------------------------------------
|
|
|
|
Don't. Preallocate everything. Or chunk it and e.g. read 100 events per
|
|
function call, push them upstream and retry until the gate time closes.
|
|
|
|
execute multiple slow controller RPCs in parallel without losing time?
|
|
----------------------------------------------------------------------
|
|
|
|
Use ``threading.Thread``: portable, fast, simple for one-shot calls.
|
|
|
|
write part of my experiment as a coroutine/asyncio task/generator?
|
|
------------------------------------------------------------------
|
|
|
|
You can not change the API that your experiment exposes: ``__init__()``,
|
|
``build()``, ``run()`` and ``analyze()`` need to be regular functions, not
|
|
generators or asyncio coroutines. That would make reusing your own code in
|
|
sub-experiments difficult and fragile. You can however always use the
|
|
scheduler API to achieve the same (``scheduler.yield(duration=0)``)
|
|
or wrap your own generators/coroutines/tasks in regular functions that
|
|
you then expose as part of the API.
|