o _c$ @sdZddlmZddlmZddlmZddlm Z zddl m Z Wne y0ddd Z Ynwzdd l mZWne yXzdd lmZWn e yUd d ZYnwYnwdd lZddgiZddgZedddZddZddZddZd S)z, Thin wrappers around `concurrent.futures`. )absolute_import)contextmanager)tqdm) TqdmWarning) length_hintcCs"zt|WSty|YSw)z,Returns `len(it)`, falling back to `default`)len TypeError)itdefaultr B/usr/local/lib/python3.10/dist-packages/tqdm/contrib/concurrent.pyrs   r) cpu_countcCsdS)Nr r r r r rsrNz github.com/Z casperdcl thread_map process_mapccsTt|dd}|p |}t|||}|||V|dur#|`dS||dS)z>get (create if necessary) and then restore `tqdm_class`'s lock_lockN)getattrZget_lockset_lockr) tqdm_class lock_nameZold_locklockr r r ensure_lock"s    rc OsH|}d|vrt|d|d<|dt}|dtdtd}|dd}|d d }t||d f} d|i} tjd d } | dkrM| j |j | fdi} d| krYdks`n| j |d|di| #} t || j |g|Ri| fi|Wd Wd S1swYWd d S1swYd S)a Implementation of `thread_map` and `process_map`. Parameters ---------- tqdm_class : [default: tqdm.auto.tqdm]. max_workers : [default: min(32, cpu_count() + 4)]. chunksize : [default: 1]. lock_name : [default: "":str]. totalrr max_workers r chunksizerr)rNr)) initializerinitargs)rr)r)rr ) copyrpop tqdm_autominrrsys version_infoupdaterlistmap)Z PoolExecutorfn iterables tqdm_kwargskwargsrrrrZlk pool_kwargs sys_versionZmap_argsexr r r _executor_map0s*     & "r4cOs$ddlm}t||g|Ri|S)a Equivalent of `list(map(fn, *iterables))` driven by `concurrent.futures.ThreadPoolExecutor`. Parameters ---------- tqdm_class : optional `tqdm` class to use for bars [default: tqdm.auto.tqdm]. max_workers : int, optional Maximum number of workers to spawn; passed to `concurrent.futures.ThreadPoolExecutor.__init__`. [default: max(32, cpu_count() + 4)]. r)ThreadPoolExecutor)concurrent.futuresr5r4)r-r.r/r5r r r rOs cOs|ddlm}|r&d|vr&ttt|}|dkr&ddlm}|d|tddd |vr2|}d |d <t ||g|Ri|S) a Equivalent of `list(map(fn, *iterables))` driven by `concurrent.futures.ProcessPoolExecutor`. Parameters ---------- tqdm_class : optional `tqdm` class to use for bars [default: tqdm.auto.tqdm]. max_workers : int, optional Maximum number of workers to spawn; passed to `concurrent.futures.ProcessPoolExecutor.__init__`. [default: min(32, cpu_count() + 4)]. chunksize : int, optional Size of chunks sent to worker processes; passed to `concurrent.futures.ProcessPoolExecutor.map`. [default: 1]. lock_name : str, optional Member of `tqdm_class.get_lock()` to use [default: mp_lock]. r)ProcessPoolExecutorri)warnzIterable length %d > 1000 but `chunksize` is not set. This may seriously degrade multiprocess performance. Set `chunksize=1` or more.r) stacklevelrZmp_lock) r6r7maxr,rwarningsr8rr$r4)r-r.r/r7Zlongest_iterable_lenr8r r r ras   )r)r)__doc__ __future__r contextlibrautorr&Zstdroperatorr ImportErrorosrmultiprocessingr( __author____all__rr4rrr r r r s8