1.10. PyCOMPSs: Polymorphism

In this example we will how to use polimorphism 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/javier/.COMPSs/InteractiveMode_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
[1.1342111850577536, 0.5278806345422292, 1.7941518439053241, 0.477653194894226, 1.643013525597227, 0.6045875820938854, 1.3846094340234631, 1.0876896292407676, 0.8244129257491345, 1.4043757995506223, 0.3056240277168034, 0.9201439479275588, 1.246609587866201, 1.2687853546889625, 1.4683707828223982, 0.8593918066098046, 1.4914222265622252, 1.9175226487486383, 1.397593438527184, 0.799869415930711, 1.7839321841565448, 1.655664412093415, 0.706206155776546, 1.0514874173801259, 1.1741535712194424, 0.7816711714346283, 0.3709620768909637, 1.2421283483285572, 1.0898514081809914, 1.7119215417673588, 1.43035279168674, 0.31335527355349213, 1.2130943648505186, 0.8609455786135065, 0.970040083675359, 0.9493184902133436, 0.7455981142716729, 1.4261010705365287, 1.3006884738220161, 0.794818426368219, 1.6078648432243612, 1.8146416498733728, 1.6262307529486548, 1.1076894390611458, 1.188617847835821, 0.5658898351111468, 0.3765595525929517, 1.144012272635464, 1.1269479981959045, 1.5779476598395945, 0.5310416609319845, 1.2137146824340994, 1.3115412433664884, 1.3302391252758574, 1.092595718830884, 0.5971210231687093, 1.1248315975536989, 0.23336156073497716, 1.2986094731417164, 0.8567830336155204, 1.0204230133832413, 1.0426277660329069, 1.7457395348340272, 1.4979604887008002, 0.8999443968466122, 1.4610993201757707, 1.0434640443395091, 0.6804818160272217, 1.4371220774959597, 0.968686692289904, 1.1876358267837062, 1.291750511582375, 0.27877854842348593, 0.8217107391322082, 0.7850745749977232, 0.8523202575880965, 1.3886142437375102, 0.6232592725501601, 0.7998842122724923, 1.7132197658739705, 1.0330350895263634, 0.3117934109281717, 0.5185430494930532, 0.9387478919316365, 0.7454802352345299, 1.6802344758730607, 0.7644442608577788, 0.7564584668865939, 1.922484237126712, 1.1568822733714978, 0.6158415795264056, 1.4257938142255737, 1.1458452771762542, 1.0372175606985587, 1.4077745052139004, 1.3703714582458701, 1.3879941521630865, 1.9010169842232587, 0.5109223444345973, 1.25749671734493, 1.5782547444429478, 1.6479874937676084, 0.40217473662961434, 1.119986901274799, 1.4363883318788817, 0.4885989849855966, 0.7538458860393151, 1.0439874222382906, 0.6610516547149519, 0.9151821197808375, 1.3618505353180779, 0.3933687164845353, 1.818649988708723, 1.2990961421089682, 1.5352117560982848, 1.5591925478144295, 0.24331260533408072, 0.4432392247146203, 0.8466757142261272, 0.8598655964808373, 0.529319349768922, 1.1321799563374069, 1.0615360045263458, 1.1015267806344329, 0.8292022618905637, 0.6419782856752524, 0.32333334497051236, 0.9638309440776158, 1.7967604071655776, 0.7180273508050851, 0.8570578945643358, 0.6395325051017463, 1.2766676927965595, 0.5702901890303982, 0.6779372879102928, 1.7441385753176573, 1.7133542675013989, 0.8453307915067819, 1.23205260177047, 0.8801510682731155, 1.04280011436574, 1.3576328020701571, 0.4016792275422233, 1.2744823797718166, 1.2246701576312828, 0.5638462334408995, 0.3462364755960621, 1.4984319529883776, 1.4692382370221764, 0.9294665895336097, 0.7532590803903066, 1.3015303870964743, 0.8197636037743317, 0.7747542198101834, 0.9881212002843747, 0.5529679850477541, 1.2799815728547137, 1.48973300299261, 1.7223576078367553, 0.7238095175800493, 1.156092220471795, 0.5044524594686753, 1.5141062796326257, 0.5608618550547421, 0.8611423896028965, 1.2253460967108745, 1.2464627979078213, 1.1521523517168315, 0.2155856012627112, 1.2390429238831102, 0.29995186911747507, 0.5530122951103436, 0.40051020848048113, 0.4151747989035104, 1.007390387840407, 1.5578436991021425, 0.7545367945136395, 0.6915023346559123, 0.5235607579485069, 1.0892728811333843, 0.17157046123024977, 0.9724340443686321, 1.220870723969119, 1.3049206209672661, 1.2215551444141979, 1.8186250263483479, 1.071291781870194, 0.6213088542264577, 0.4473224909257292, 0.7322917972797982, 1.2472474430318539, 1.5096113947418246, 0.6378758247987364, 0.6438326922533013, 1.2553139225765841, 0.7039552821090316, 1.3171712941494922, 0.5016793026885142, 0.9097618522434836, 0.43969796188254506, 1.1296260498528328, 1.030068187545417, 0.7255365463230162, 0.9604606351488473, 1.6274087331173166, 0.2560517686610515, 1.894284947426527, 0.37665205819959435, 1.3908239551485746, 0.8474159223836206, 1.351016371592689, 0.35075909873258215, 0.41463215408060294, 0.7819272076891447, 0.755344391423281, 0.34172000491186494, 0.3772756801115913, 0.6937184556976298, 0.632524469326851, 0.4396964964332435, 1.2107549839328713, 1.5428523749949483, 1.3492033118120343, 1.3694673915942528, 0.767865473511106, 0.7926744482803865, 0.5858615887384653, 0.9572439566732127, 1.1972018613403357, 0.12100426575879342, 1.194238722270243, 1.3272129800628854, 0.5609479748021976, 1.528514721492867, 1.1897558276641786, 0.6177812527202718, 0.9859083009465555, 1.5004947016321089, 0.712502290535453, 0.9231741462588597, 0.5241877674163219, 1.2416911218391853, 1.4932045296577656, 1.570668042278836, 1.2331719444559006, 1.7015721383477729, 1.1340046983054002, 1.303567044278201, 0.4911129372146401, 1.6355453772784778, 1.156527240313686, 0.7722579697065522, 1.6674023665528561, 1.3391044023616652, 0.631395498096791, 0.7196455179925685, 0.6103367265543269, 1.0577192530089303, 1.1442382863337324, 0.49693722368459425, 1.1604907445829482, 1.381753379035894, 1.2875333930382953, 1.0411339906107444, 1.789550687080168, 0.5837100177958121, 0.7774233374408698, 0.9673610679524077, 1.467581135569341, 1.4096566906060528, 0.8851277926924885, 1.3273352504181464, 0.987512801655478, 0.5535434969912872, 0.49748314134946103, 1.1356407231613632, 0.8323442889204625, 0.6091961326436534, 0.5288037300399421, 0.5533033067837103, 0.4334287265408405, 0.9746051583835622, 1.2198583240413297, 0.7928640248999572, 0.3989632312000525, 0.9869393392757584, 1.1078600370039795, 1.693508609556555, 0.49126890781594124, 0.5937659250659406, 0.5084774722100126, 1.265885567635215, 0.7467573220462363, 1.6237088486057336, 1.7089643453083387, 1.5653400107304702, 1.1354465846519668, 1.0804435174057345, 1.0877516661282742, 1.465159110649998, 0.7697391001576241, 1.030687428357964, 0.713122031902352, 1.3565318981978058, 1.3499791406362391, 1.5761922791015954, 1.2266721246759469, 0.5680610993204245, 0.9336236240610617, 0.9647469939407743, 0.5765792203719053, 1.3367745105339925, 0.5616578481015944, 0.48368743374525736, 0.4346941348595651, 1.0101538480539092, 1.0650700877013564, 1.0409573006884365, 1.4036120807477563, 0.8756492809986665, 1.3451772866076848, 1.0302278592873622, 0.5838037841245372, 0.7607977014878965, 1.1267180250962392, 1.6642496219691356, 1.2358080077772258, 0.44245000249057576, 0.7493521408275481, 0.32082827639523426, 1.2098223303860625, 1.766201786854284, 0.7278405403359859, 0.22958816181251962, 1.2405860979155565, 0.30650826444517965, 0.8780801135168865, 1.9236783163804279, 1.188632040374435, 1.2545429024840968, 0.7408194477154946, 1.3697902611510324, 0.7349876557935695, 1.1601710607758873, 0.6233727923214958, 1.3644790931808561, 1.1736762353244812, 1.3158155729985368, 1.3426891899965234, 1.132225047070171, 0.29605802924539015, 1.443831962710944, 1.0365581827474208, 0.36625934922905645, 1.043638821483961, 1.851049799820749, 0.5543333326990229, 1.0087063709360429, 0.9092186116817187, 1.1282820593003706, 0.7272475629501142, 1.7962581117660852, 0.5863024436755062, 0.525014479008149, 1.749352954800555, 1.8677543669822092, 0.9115932022372303, 0.39838413409445916, 1.1568136905404671, 0.49644188553115176, 1.6871414605837267, 0.15542072809099727, 0.9501616345409523, 1.4933467415069253, 0.8405301576079773, 0.9970627298337509, 0.39398477573810453, 1.0642670686724696, 1.01871698496539, 1.59936494855308, 0.8417386820034275, 1.1582659180663706, 0.8072931485912486, 0.2070265620610351, 1.4301153606488954, 1.3534942038789035, 0.6466809465072058, 1.7289836654419948, 1.1718451182234904, 0.7939215468218466, 0.7469625183284953, 1.4426726518987154, 0.9161789838766904, 0.7651344174590607, 0.421525399952453, 0.9285626339105566, 1.5572597415612424, 0.8088549545845831, 1.5482390181849133, 1.4856603727775979, 1.0681325688783736, 0.842452600952796, 0.6455331910090689, 1.5794990020619062, 0.4892605057160744, 1.3203151949901613, 0.8272767822421007, 0.49097848997083826, 1.4583054319371418, 0.6476521197671897, 0.9461149314361031, 1.0242085475293532, 0.9856151874721057, 1.842595790786399, 0.9684341874164764, 0.958464909590867, 0.36669960898992393, 0.5778805974876221, 1.3636499048612798, 1.6056838167667513, 0.5354914185056912, 1.314892166372323, 1.2869729487816257, 0.6073146804784973, 1.1241155038669737, 1.282979538848367, 1.6977373235255824, 1.480212908737201, 1.2537889248899818, 1.264372224610801, 0.998675164988508, 0.5894461081480444, 0.74761525659843, 0.9131526059429217, 0.4985050203942224, 1.6186663287787177, 1.0729881741610956, 1.483467576973553, 0.8774920685296677, 0.31735592844187976, 0.9040062955414399, 0.9719459161514763, 1.7640141283295068, 0.7285070933771961, 1.1661965757168427, 0.4591941620649431, 0.7590531211424753, 1.4928837247650493, 0.7511434385986563, 1.1693454755148935, 1.5305398374968346, 1.246849089139404, 1.0414345660655833, 1.6058341872743416, 1.5136892222999916, 0.8346664011562178, 0.993625932171825, 1.6363344662676904, 1.7498028849956215, 1.0279630966108653, 0.8587769763778761, 1.264136528076821, 1.8333487602759981, 1.0560170866127765, 0.7503236739611938, 0.8771407506385426, 1.7315241811859647, 0.1716184386436218, 1.3484731223066517, 0.7946863847926946, 1.1641864313842096, 1.0164171655938299, 0.8922289631762993, 0.5765541345259428, 0.6405151407330839, 1.7547331092694942, 1.3648868920358326, 1.7755094654881014, 1.0753723432905282, 1.655308349598924, 1.287206152117799, 1.4957861132005852, 0.24696531924979725, 0.9698845784910904, 1.0663378988011103, 1.1181193567776773, 0.5750267721878778, 0.8067163935511384, 0.29398881662932363, 0.25461316458642613, 1.0165805850418088, 0.38981573128933134, 1.235110337958675, 0.6927072995458002, 1.36415670044673, 0.48345279861500046, 1.0697618795573325, 0.8130390583110381, 1.0588319011916258, 1.4101660797491067, 1.8477756417506233, 1.03121926179135, 1.3418314498836414, 0.9601471532213229, 0.8380797602550137, 1.2857842193345463, 1.2739515921935491, 1.5217459719466622, 1.2301227210355448, 1.2854374493873904, 1.2207928496255271, 1.2251774907469763, 0.9721252011841514, 0.545929720723875, 1.0173098380023544, 0.3342391963886717, 1.4535926010457345, 0.9530910743266525, 0.16584031098504703, 1.1661750584215518, 1.6170016758055819, 0.05471597196287292, 0.8089098264895611, 0.9409021083518145, 0.7547683426614276, 0.23747692176221513, 1.2484173801480143, 0.9244328224305834, 0.7455811396393957, 1.4701480439631451, 0.7665646228616398, 1.0813443378521517, 0.8119946857165607, 0.8785561872638468, 0.4570964087082021, 0.62057443042921, 1.6488866857840319, 1.130353022081139, 0.891035942888082, 1.4872641169850391, 0.9251788409013981, 0.9655479344577936, 1.8953313124171145, 1.6137533383950107, 1.133381461558712, 1.0121841070353912, 1.6009018698551816, 0.5425517164251331, 0.9849518442632419, 0.2198277106480262, 1.4340024749555518, 1.2268703281564428, 0.9577253219754509, 1.3997698030515897, 1.7293202934167693, 0.625292717637884, 0.7419739173510058, 1.9093280192081858, 0.418172132317992, 1.5685387423250292, 1.0446040130762961, 1.930276123543277, 1.4096718995036865, 0.9191735778392737, 0.5553627298489882, 1.7888232746796304, 0.5355181404111115, 1.165499393110926, 1.2819894497736195, 0.7602710756480584, 0.7694935487924648, 0.07610990938256701, 0.7838375455014903, 0.5412727643257712, 0.5748736129615554, 0.7973525472560531, 1.0786305546646662, 1.5617675777001914, 0.2939776668191193, 1.367926348169664, 0.3974168267568715, 1.469523878338525, 0.9040484171864375, 0.5842781972373366, 1.062407842798111, 0.39455344550294646, 1.3095196114621157, 1.5775068406479094, 1.4236314204305422, 0.2664067220573617, 1.810629822441299, 1.3393099160573347, 1.0921702672895095, 1.788794360532346, 1.1787789668593471, 1.4165587401747592, 0.7762254502957726, 0.9131384264387812, 0.9661454589838524, 1.5281267778337029, 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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
******************************************************