U /e@svddlmZddlmZddlmZddlmZddgZGdddZ dd Z edd d Z d dZ GdddZ d S)) annotations)Callable)contextmanager)ClassVarCallback add_callbacksc@sheZdZUdZeZded<dddZeddd d Z d d Z d dZ ddddZ ddddZ dS)raBase class for using the callback mechanism Create a callback with functions of the following signatures: >>> def start(dsk): ... pass >>> def start_state(dsk, state): ... pass >>> def pretask(key, dsk, state): ... pass >>> def posttask(key, result, dsk, state, worker_id): ... pass >>> def finish(dsk, state, failed): ... pass You may then construct a callback object with any number of them >>> cb = Callback(pretask=pretask, finish=finish) And use it either as a context manager over a compute/get call >>> with cb: # doctest: +SKIP ... x.compute() Or globally with the ``register`` method >>> cb.register() >>> cb.unregister() Alternatively subclass the ``Callback`` class with your own methods. >>> class PrintKeys(Callback): ... def _pretask(self, key, dask, state): ... print("Computing: {0}!".format(repr(key))) >>> with PrintKeys(): # doctest: +SKIP ... x.compute() z*ClassVar[set[tuple[Callable | None, ...]]]activeNcCs6|r ||_|r||_|r||_|r(||_|r2||_dSN)_start _start_state_pretask _posttask_finish)selfstartZ start_stateZpretaskZposttaskfinishr2/tmp/pip-unpacked-wheel-dbjnr7gq/dask/callbacks.py__init__4szCallback.__init__ztuple[Callable | None, ...])returncs$dddddg}tfdd|DS)Nr r r r rc3s|]}t|dVqdSr )getattr.0irrr Esz%Callback._callback..)tuple)rfieldsrrr _callbackBszCallback._callbackcCst||_|j|Sr )r_cm __enter__rrrrr Gs  zCallback.__enter__cGs|jj|dSr )r__exit__)rargsrrrr!LszCallback.__exit__NonecCstj|jdSr )rraddrrrrrregisterOszCallback.registercCstj|jdSr )rrremoverrrrr unregisterRszCallback.unregister)NNNNN)__name__ __module__ __qualname____doc__setr__annotations__rpropertyrr r!r%r'rrrrr s ' cCs(|rddt|DSdddddgSdS)z>Take an iterable of callbacks, return a list of each callback.cSsg|]}dd|DqS)cSsg|] }|r|qSrrrrrr Ysz/unpack_callbacks...r)rfrrrr/Ysz$unpack_callbacks..rN)zip)Zcbsrrrunpack_callbacksVsr2Nccs<|dk}|rtjt}t_z|p$dVW5|r6|t_XdS)zAllows callbacks to work with nested schedulers. Callbacks will only be used by the first started scheduler they encounter. This means that only the outermost scheduler will use global callbacks.Nr)rrr,) callbacksZglobal_callbacksrrrlocal_callbacks^sr4cCs*t|tr|jSt|tr|StddS)z Normalizes a callback to a tuplez.Callbacks must be either `Callback` or `tuple`N) isinstancerrr TypeError)cbrrrnormalize_callbackns   r8c@s(eZdZdZddZddZddZdS) raContext manager for callbacks. Takes several callbacks and applies them only in the enclosed context. Callbacks can either be represented as a ``Callback`` object, or as a tuple of length 4. Examples -------- >>> def pretask(key, dsk, state): ... print("Now running {0}").format(key) >>> callbacks = (None, pretask, None, None) >>> with add_callbacks(callbacks): # doctest: +SKIP ... res.compute() cGs"dd|D|_tj|jdS)NcSsg|] }t|qSr)r8)rcrrrr/sz*add_callbacks.__init__..)r3rrupdate)rr3rrrrszadd_callbacks.__init__cCsdSr rrrrrr szadd_callbacks.__enter__cCs|jD]}tj|qdSr )r3rrdiscard)rtypevalue tracebackr9rrrr!s zadd_callbacks.__exit__N)r(r)r*r+rr r!rrrrrxs)N) __future__rcollections.abcr contextlibrtypingr__all__rr2r4r8rrrrrs    L