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72 lines
2.1 KiB
ReStructuredText
72 lines
2.1 KiB
ReStructuredText
FAQ
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###
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How do I ...
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============
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override the `sysclk` frequency of just one DDS?
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------------------------------------------------
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Override the parameter using an argument in the DDB.
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organize parameters in folders?
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-------------------------------
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Use gui auto-completion and filtering.
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Names need to be unique.
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enforce functional dependencies between parameters?
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---------------------------------------------------
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If you want to override a parameter ``b`` in the PDB to be ``b = 2*a``,
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use wrapper experiments, overriding parameters by passing them to the
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experiment's constructor.
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get rid of ``DBKeys``?
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----------------------
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``DBKeys`` references keys in PDB, DDB and RDB.
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write a generator feeding a kernel feeding an analyze function?
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---------------------------------------------------------------
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Like this::
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def run(self):
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self.parse(self.pipe(iter(range(10))))
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def pipe(self, gen):
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for i in gen:
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r = self.do(i)
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yield r
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def parse(self, gen):
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for i in gen:
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pass
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@kernel
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def do(self, i):
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return i
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create and use variable lengths arrays in kernels?
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--------------------------------------------------
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Don't. Preallocate everything. Or chunk it and e.g. read 100 events per
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function call, push them upstream and retry until the gate time closes.
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execute multiple slow controller RPCs in parallel without losing time?
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----------------------------------------------------------------------
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Use ``threading.Thread``: portable, fast, simple for one-shot calls.
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write part of my experiment as a coroutine/asyncio task/generator?
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------------------------------------------------------------------
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You can not change the API that your experiment exposes: ``__init__()``,
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``build()``, ``run()`` and ``analyze()`` need to be regular functions, not
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generators or asyncio coroutines. That would make reusing your own code in
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sub-experiments difficult and fragile. You can however always use the
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scheduler API to achieve the same (``scheduler.yield(duration=0)``)
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or wrap your own generators/coroutines/tasks in regular functions that
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you then expose as part of the API.
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