PyCOMPSs: Polymorphism

In this example we will how to use polymorphism with PyCOMPSs.

Import the PyCOMPSs library

import pycompss.interactive as ipycompss

Start the runtime

Initialize COMPSs runtime Parameters indicates if the execution will generate task graph, tracefile, monitor interval and debug information.

import os
if 'BINDER_SERVICE_HOST' in os.environ:
    ipycompss.start(graph=True, debug=False,
                    project_xml='../xml/project.xml',
                    resources_xml='../xml/resources.xml')
else:
    ipycompss.start(graph=True, monitor=1000, trace=False, debug=False)

********************************************************
**************** PyCOMPSs Interactive ******************
********************************************************
*          .-~~-.--.           ______        _   _     *
*         :         )         |____  \      | | | |    *
*   .~ ~ -.\       /.- ~~ .      __) |      | |_| |_   *
*   >       `.   .'       <     |__  |      |___   _|  *
*  (         .- -.         )   ____) |   _      | |    *
*   `- -.-~  `- -'  ~-.- -'   |______/  |_|     |_|    *
*     (        :        )           _ _ .-:            *
*      ~--.    :    .--~        .-~  .-~  }            *
*          ~-.-^-.-~ \_      .~  .-~   .~              *
*                   \ \ '     \ '_ _ -~                *
*                    \`.\`.    //                      *
*           . - ~ ~-.__\`.\`-.//                       *
*       .-~   . - ~  }~ ~ ~-.~-.                       *
*     .' .-~      .-~       :/~-.~-./:                 *
*    /_~_ _ . - ~                 ~-.~-._              *
*                                     ~-.<             *
********************************************************
* - Starting COMPSs runtime...                         *
* - Log path : /home/user/.COMPSs/Interactive_10/
* - PyCOMPSs Runtime started... Have fun!              *
********************************************************

Create a file to define the tasks

Importing task, implement and constraint modules

%%writefile module.py

from pycompss.api.task import task
from pycompss.api.implement import implement
from pycompss.api.constraint import constraint

Writing module.py

Declaring tasks into the file

Declare functions and decorate with @task those that should be tasks

%%writefile -a module.py

@constraint(computing_units='1')
@task(returns=list)
def addtwovectors(list1, list2):
    for i in range(len(list1)):
        list1[i] += list2[i]
    return list1

Appending to module.py

%%writefile -a module.py

@implement(source_class="module", method="addtwovectors")
@constraint(computing_units='4')
@task(returns=list)
def addtwovectorsWithNumpy(list1, list2):
    import numpy as np
    x = np.array(list1)
    y = np.array(list2)
    z = x + y
    return z.tolist()

Appending to module.py

Invoking tasks

from pycompss.api.api import compss_wait_on
from module import addtwovectors  # Just import and use addtwovectors
from random import random

vectors = 100
vector_length = 5000
vectors_a = [[random() for i in range(vector_length)] for i in range(vectors)]
vectors_b = [[random() for i in range(vector_length)] for i in range(vectors)]

results = []
for i in range(vectors):
    results.append(addtwovectors(vectors_a[i], vectors_b[i]))

Accessing data outside tasks requires synchronization

results = compss_wait_on(results)
print(len(results))
print(results[0])

100
[1.0079769167417085, 1.292691246058134, 1.0623592451896102, 1.014484619064377, 1.203708928794141, 1.431507326504785, 0.6394334458247234, 1.7605207399623142, 1.4459093596175032, 1.9090903756450985, 0.8865408726143582, 1.6489322114776634, 1.2406024419091382, 1.1436805866606514, 1.3616335287288237, 0.5752891109491199, 1.1422948846378516, 0.39638130174636854, 0.4164274015675089, 1.2707401380877585, 1.818420695613091, 0.4155678033107403, 0.9236732238747921, 1.0809997753607115, 0.6361047824528699, 1.2356523074829577, 0.538311673592984, 0.7511005376226334, 1.4077186896183362, 1.3630284638085448, 0.3218258037253804, 1.3481234013651429, 0.7923183394197832, 1.7198466043314347, 1.6143570275638885, 0.8646520558564239, 1.1386002228116388, 1.6097993532625146, 0.6694516684089487, 0.3229688500404201, 1.3491018684723814, 0.688285444415325, 0.6392442441723015, 0.7737472838584768, 1.2181491263532203, 1.2150830829013528, 0.890530060115385, 0.9966706880708023, 1.295042911093518, 1.195466284187497, 1.3901203291419835, 1.7285412884412803, 0.9988864932321777, 1.077376049540336, 0.829204375196873, 0.14137021178284037, 0.3777315451351778, 1.5991559036395409, 1.5711312728167994, 1.0464455056420419, 1.420832316306984, 0.2125722689236199, 0.963555310594695, 0.9353811562862099, 1.682123277706604, 1.253406974089742, 0.435700608325684, 0.8229943983605714, 0.8788108129735459, 1.751084418783489, 0.39504318299283137, 1.7237750224540442, 0.9264752958078317, 1.713910262664526, 1.4880607193595967, 0.7379316686480707, 1.1982539666880023, 1.2514145146189608, 0.961589250110634, 1.0972285491778722, 1.428371692577834, 1.4932639291803902, 1.4081120845550967, 1.4131117432277307, 1.704825048518308, 1.3115127814368042, 0.3027285307370481, 0.4526792021743624, 1.205295902855557, 0.38488738647405485, 0.9786422196710346, 1.6418803631515284, 1.1218184554078716, 1.3808891973726074, 1.1412345882584027, 0.5953423435660885, 1.2500525198612649, 1.097923017252769, 1.621153729801995, 1.2546306615745766, 1.5468101697615788, 1.0960962344058176, 0.9221268311267325, 1.4591174060318655, 1.1554133004669984, 0.19153026101074633, 0.8451432389135214, 1.449946464778483, 1.517815285130364, 0.9164884227353229, 0.726565099906145, 0.8440953010675064, 1.048513320064048, 1.7774651538767268, 0.6766220689103315, 0.3719589649474996, 1.2661265118799454, 0.9635719375724531, 0.7967888710764799, 0.5533792071195607, 0.3180424548322939, 1.1104634906523603, 1.1341920501640725, 0.9869785421339023, 0.553252613389438, 1.0664587667347138, 0.6897725831118283, 0.8050302550499358, 1.1555005246888612, 1.3444756014960593, 1.2874566529567701, 0.8327412915441063, 1.1876449587821727, 0.7388848843624494, 0.8994278140448352, 0.895441466040603, 1.173471889038193, 1.2441921079104248, 0.7519305109852628, 1.344247611916476, 0.404102362112175, 0.30968902889825023, 1.3770352088312832, 0.5890870457561714, 1.6354053904604666, 0.7272203310647755, 0.8290216235014044, 1.7089029814622878, 1.1758547378783786, 0.9088375516788543, 1.3655115287216724, 0.5141473149678305, 1.402354134716776, 0.9679767642726923, 1.7992645389224855, 0.3297124698520987, 0.33632549829938907, 0.46646922978856054, 0.863317785975484, 0.7104722644401962, 1.1517834508076856, 1.7937369080518062, 0.8569874025521403, 0.7919331175815464, 1.3507986500339126, 1.019276791074212, 0.4387864166233678, 0.5791883789562923, 0.7513001118400879, 1.0487913019925537, 1.7324953304616217, 0.1719618391018366, 0.1510407606207388, 0.7892443958258114, 1.1913836865355953, 0.8543291247871209, 1.600998091346884, 0.30338382026967303, 1.3691064009816958, 0.9480417678921644, 0.34837508289674246, 1.2346934187222705, 0.8021767295825293, 1.7250127175353671, 1.091829542355364, 0.9145406921295541, 0.8393873568015737, 1.3078612003257524, 1.3612204170973912, 0.39747701334430796, 0.7007952486098292, 1.5006188975901877, 0.08223517029342431, 0.6726795062218206, 1.7255031883411895, 1.6366470490949125, 1.876593847093479, 1.3143272899369756, 0.4791885613107244, 1.4223548435901625, 0.6636944466669881, 1.2729795325800497, 1.5804660946101543, 0.36848808162579405, 1.5672421595645356, 0.8244373473156541, 0.900112202122281, 0.4386257863062405, 1.378098764774005, 1.4126685637010667, 0.7978963379673676, 1.0670644131169045, 0.3640781853309305, 0.9229974851355285, 0.807032040784003, 1.17171803401516, 0.3784865400773616, 1.3779000677501563, 1.2903648912701935, 1.2510301833376967, 0.9820697752306757, 0.8187532730174965, 0.9600304623242597, 1.8194685184122585, 0.6396488324852523, 0.440580565677969, 1.1232308682892733, 1.1817714063401836, 0.4360473793820354, 1.8228412709183432, 1.7816047965513733, 1.2986125105266653, 0.1631600373414196, 1.4504293457292423, 0.7348657399220182, 0.0329013483193592, 0.5753865925528254, 1.302865951952326, 0.745056400813243, 1.1390973958618866, 0.320737308641298, 0.46299866972819836, 0.7922738428890451, 1.4101948427768516, 0.9391076541642149, 0.5219077661398087, 1.142370875171549, 0.9311156822956889, 0.473639880378264, 1.0702028101292136, 0.9587163343241002, 1.4649120103185302, 0.9105034955929227, 1.473911737688114, 1.5286309838343475, 1.3505377899037425, 1.000782081794053, 1.1796571211253153, 0.2111249254299069, 0.8854824044930539, 1.0142964336762184, 1.2650257628690946, 1.1842670183540047, 1.1381279136194005, 1.6121925146012437, 1.3023048475723256, 1.4790220382070602, 1.7990805063118596, 0.9994909396788805, 0.4420751866482002, 1.0686817426078379, 1.3069431287738462, 0.9758491940283406, 1.0561921016647677, 1.6002029121743964, 0.7826326388507577, 0.29765016943822165, 0.4478507908586058, 0.37129823853363286, 1.433183049525064, 0.6919518425189168, 0.7703599753692907, 0.588041407274836, 1.320603092697139, 1.0626890478915905, 0.4495688605308701, 0.7679251892021189, 1.076642991504241, 0.9005488880684624, 0.5002460242597345, 1.5378502556614424, 1.0296163391847475, 0.6373381052959061, 0.3445702097212352, 1.2226063837415935, 0.6216712052060014, 0.8049034986524319, 0.7763167219866929, 0.3519797524667716, 0.8788375124514268, 1.1108584796189596, 1.3276535791993458, 1.1872452709081198, 0.563724954524683, 0.9185632810254319, 1.4969872672382198, 0.40089375403091854, 0.25345097697706553, 0.7882882683985879, 0.5087291943836175, 0.5444043296142339, 1.6823522398095123, 1.2784161940631287, 1.3989958829970903, 0.8414974913736482, 0.1053939917452098, 0.9567020535564879, 1.1046432667242705, 1.2112651484620711, 0.14458686617365524, 1.4453941916598612, 0.5516751418630269, 0.7668620319566847, 0.9766628755308748, 0.6974866526518954, 0.04619175719550861, 0.8740994512972295, 1.1728213662914178, 0.32201985072787753, 0.8653064377255694, 1.4512863371812776, 1.6261908214217922, 1.0447172611992261, 0.7731254660257778, 0.8027476411959744, 1.5297756528443909, 0.4375976141433301, 1.0878493403515486, 0.49086319062288686, 0.9961823297077802, 1.2993269437213026, 0.4792319358566224, 0.562686560971438, 0.39345358681071985, 1.5375946870789616, 0.9809910677094368, 1.4600854453000376, 1.3287113959251409, 0.714413712820638, 1.333551492042391, 1.1848409424537862, 1.0291353940121408, 0.6111911124941709, 0.4783311340385238, 0.6452401466853456, 1.2759043987973047, 1.179368274315694, 0.951767620131393, 0.4677355897316795, 0.4559732278106111, 1.3637525545683775, 1.1747283065949394, 1.022458100548033, 0.47550965642597753, 0.5373451436128254, 1.4863949856499468, 1.2065207721834104, 1.060003007042348, 0.34836018329037644, 0.5775209310349014, 0.8610868051575631, 0.775251502269652, 1.1657551841541842, 0.9649711039760513, 1.704717727394002, 1.0004713174221058, 0.6079905670815, 0.9773309497354364, 0.503455357500894, 1.351361778488526, 0.3615687952797245, 0.3579695484108655, 1.1803676366807423, 0.40835557253850063, 0.9524341571263599, 0.682291015924241, 0.6623291673500173, 1.6641488037125698, 1.1389190778546865, 0.28882064963371445, 1.8722449428633199, 1.3040040478887691, 1.2523212222790945, 0.9624360054050237, 0.45724013806484864, 1.6156726781966564, 1.1548021477659303, 0.9313671085953567, 0.5823721747045212, 1.1036922382218772, 0.974715056092435, 1.0762705432514803, 0.8341865714925288, 1.4642606485021685, 0.9115367232131487, 1.082386755073327, 1.518168804987294, 1.1853257810529074, 1.5645799991056022, 0.9956394216940676, 1.3904274586560192, 0.3589792443282366, 0.8053618555994654, 0.7771313605883635, 0.4752570991098838, 1.5057001295256285, 0.6813039402276122, 0.6765839919705328, 0.348028714335327, 0.1286375766611776, 0.80382400731211, 1.0968201834029894, 1.3420557953050094, 0.9632472896049048, 1.8099129712383055, 1.421534665740267, 0.9836360356252019, 0.16714189598457596, 1.1384407072900506, 0.7967827223278511, 0.75034772631795, 1.7401630407376323, 0.586606020256137, 0.6111331506338633, 0.42908992053764605, 1.2385073471083334, 1.193237493038881, 0.9657000397779252, 0.5332320113894757, 1.2366716462061897, 1.098700514525886, 0.7081962411456391, 1.0976035439699257, 1.0686627641192628, 1.2740359916718291, 1.3215307636456926, 1.2110852104442653, 1.5219977035536205, 0.8590107690820502, 1.5405850815871789, 1.0474748690106546, 0.10244974007389895, 0.7348432029815287, 0.8389509986591852, 0.9013169219182328, 0.8262035199547706, 1.1184336136498239, 0.9766603094522426, 0.758740818276848, 1.054270139165109, 0.7513461107686272, 0.5011753928295837, 1.232652147036356, 1.2332282794193703, 0.5396443270207467, 1.0234651855926602, 0.6780750715262658, 1.0987053396020867, 0.8307508320538668, 0.6706350260719702, 1.2328076202964273, 0.38003794529856605, 0.510937097128455, 0.9908213029128672, 1.2984256757909312, 0.2455567277331181, 0.34761169562599703, 0.7670214369281962, 0.9501409733440619, 1.5158269286786688, 0.8302312535147806, 1.0979411025793104, 1.1236374456795557, 0.979637233824873, 0.6215008808116879, 1.1223579129340853, 1.6692174129330921, 1.0898038615709627, 1.776643067858962, 0.5718412417833222, 1.029666027949533, 1.0854844781571196, 1.3052890256532084, 1.0708844658585916, 0.47547443467395367, 0.7189859255006231, 1.067443498775241, 1.1743307699248016, 0.6221389234271465, 1.3471853244561944, 0.9404088287392263, 0.7768855053934783, 1.6238723594220867, 1.3636017195266943, 0.8863539893795329, 0.7975381390672307, 1.0075208672142466, 1.4172892498781178, 1.0814814303330225, 0.9036325189970806, 1.0471834560714173, 1.340286173167215, 1.6960552241745877, 0.8762640440863253, 0.3103970798108776, 0.9307257506483426, 0.7753027279035627, 1.035929352227868, 1.1252479685889143, 1.2400719764810737, 1.1123735138212445, 1.6974671984282863, 0.7653380386362844, 1.025355244803602, 1.3321273653037216, 1.1894686955338005, 0.9510595420217086, 0.7008184606333506, 0.6861125254252531, 1.213231496801114, 1.7679064509581348, 1.4144570567860684, 1.2413565853085706, 1.385563166898326, 1.0187300157103842, 0.037693774300405325, 1.7828910287200945, 1.3956923580584326, 1.0582029026837247, 0.7833280520494921, 1.0535149186364, 1.0662371877320727, 1.332766115702185, 1.1268501016259795, 0.9599158592199113, 0.7661497701107812, 0.8732755221155308, 1.2065528520876803, 1.2120142935634437, 1.1211343161254477, 0.8130440872588056, 0.514828978834041, 0.48602943979802715, 0.7515159032496956, 1.4495068233763369, 1.4183240041418992, 0.9434954132214377, 0.9659234970458631, 0.538195703265801, 1.8920526287224955, 1.5682069172633557, 1.001332788860493, 1.0212471340710179, 0.9084548597941939, 0.705410602487419, 1.727111202413707, 1.1836026712475505, 1.2154358906548093, 0.9446293578815367, 1.4966963285262542, 1.075671772374521, 0.9601349376403986, 1.311708044032183, 1.2347987578794892, 0.979773589140791, 0.9396120427726715, 0.22517735055224608, 1.5881079605619282, 1.0508566413949576, 1.228764081423642, 1.5543984480591173, 0.9180371271069143, 1.3281076370640066, 1.3114663589998656, 1.5414682602966825, 0.9291248014597502, 0.9465394249800634, 1.4701798109969029, 0.9955361003612535, 0.39278460207094446, 0.7593018519348531, 1.177181948082206, 0.6527808666024152, 0.8903857908579487, 1.0276322399576814, 0.9020791340114358, 0.47048192067111494, 1.30214950902258, 0.978080190345092, 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Stop the runtime

ipycompss.stop(sync=True)

********************************************************
***************** STOPPING PyCOMPSs ********************
********************************************************
Checking if any issue happened.
Synchronizing all future objects left on the user scope.
Found a list to synchronize: vectors_a
Found a list to synchronize: vectors_b
Found a list to synchronize: results
********************************************************