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/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
[1.270435314135125, 1.181984023658406, 0.42556016587299283, 0.597795449942294, 1.0968530747945326, 1.0159975389455562, 1.1712271141451538, 1.2006405118889214, 1.6024466589055621, 0.781278409046493, 1.278900064893235, 1.684339818304755, 1.738623118340744, 1.6399498620698565, 0.27716215066875693, 1.6476498060733165, 0.7718690569988762, 1.1702222773211775, 1.736212865362357, 1.611891976282025, 0.6838972294319144, 0.7835293474816739, 0.5458374957335872, 1.0180724979895621, 1.0446894942560179, 1.552738149017694, 1.2256467062578555, 1.4390467333511536, 1.4791350802038212, 1.5338381060936364, 0.6606883661049503, 0.5394088737157197, 1.0678843640246498, 0.6774918778997956, 0.6628616715177066, 1.7371715263351204, 0.9215977111990665, 1.0840480322112436, 1.5763798791570314, 1.3854445291097512, 1.66129134880695, 1.3260016548044171, 0.5114023732093821, 1.3866256143250788, 0.8118118148900748, 0.18550728021706708, 1.2976649097876956, 0.7067109858023617, 1.3587629965802521, 0.11916361459923586, 1.6998544087726852, 0.809583070778348, 1.3676190688868313, 1.2404952841176284, 0.8366022619096812, 0.46653259920361523, 0.9412559877588904, 1.110450656512976, 0.8811356452698292, 1.6130432408431346, 0.3472707684490721, 0.507485217333521, 0.7699174890082789, 1.5314773862159972, 1.0276906628470601, 0.5802116967194108, 1.747861179061709, 0.5175061144104361, 0.8683415591784895, 1.2806596851747032, 0.9695340003846858, 1.3373505040859164, 1.2760522540607262, 1.4732149525553742, 1.2470508929877164, 0.8908365541738409, 0.8930664524231232, 0.7894687377295652, 1.8291372121499212, 1.4700106037672902, 1.0694854862523382, 1.2056501045188237, 0.9136261107890833, 1.299478110443825, 1.36382852311012, 1.2113854272728735, 1.4510095263081109, 0.6500463080543188, 0.8066518515060163, 0.3130682250423267, 0.7222419113402934, 0.7290397148775523, 1.0843590354606913, 0.36212539058910886, 0.9994100641853448, 0.8660644509248618, 0.9111748023720244, 1.324679661004637, 0.2570134542681878, 0.49006818381511863, 0.4859068717107359, 0.3684898252274993, 0.948643563556359, 0.5807123149389365, 1.3732556688492679, 0.2321136687515466, 1.2693473312613301, 1.4205307246516472, 1.1265485064836367, 1.7461113806061872, 1.4075596750199986, 1.2367568939713955, 0.10468753199829028, 0.5226294258555524, 0.8595956684522026, 0.24668242950665908, 1.1309664574885652, 1.2310581187670633, 1.3923177393598778, 0.8606419535492535, 1.5976179927060643, 1.0150877493916104, 1.387833453692477, 1.0387293412044114, 0.7752713221894686, 0.522629755678426, 0.9438586629507072, 1.7242874547645746, 0.2892476411047652, 0.5548546024802894, 1.0143258613937602, 1.4204748259360722, 0.6475268311499887, 0.7668435334482221, 0.5644149418007572, 0.6024425949599095, 1.1267384317947422, 1.1820333522994306, 1.5991319782773514, 1.718598405036898, 0.6366226871237428, 1.5724752791748755, 0.42507949372601783, 1.2359304110008782, 1.4040867231361356, 0.7730652408765368, 0.5370750860031829, 1.1129495395569364, 0.937860939241588, 0.7287344890765555, 1.1545355340059504, 0.9622498024099174, 0.34613957296711884, 1.642964732489437, 1.3752905096450776, 0.9085165041359795, 0.7992325624154551, 0.8211263322536775, 0.47524654587686843, 1.3427670984988556, 1.2330883738878837, 0.49876068177944677, 1.5954390158624345, 0.9847954408301239, 0.8004259120889436, 1.2369206599866205, 1.1065684196351064, 0.7484751512783033, 0.9467654231065114, 0.9930823503211086, 0.6747036901204573, 0.856403923643947, 1.537100397697292, 0.7133769392898409, 1.3121988883739988, 1.4686375580064122, 0.7806851983064569, 1.0947574144370515, 0.9645445723581756, 0.8239339593857009, 0.8258745008028091, 0.9639507383324583, 1.431046329749832, 1.0685681957913697, 0.3072437296205951, 1.0597700293758034, 1.1327726428508877, 1.5734325570605, 0.9057191649719709, 1.076130367660979, 0.8727139266600975, 1.150501624891085, 1.2997439872436898, 1.4717227380498747, 0.7954402276338787, 1.7706122706790204, 0.43598959688261985, 0.8978446365367794, 1.1620880455351759, 1.0222507595772874, 0.8847046086643987, 1.183501308771962, 0.660748386402333, 1.572209094852225, 1.0617954471555282, 1.0551028844825472, 1.2571092562523125, 0.9221536308729873, 1.235942691811296, 1.2244916572307507, 1.100766401334714, 1.3312908828643626, 0.8813429139399382, 1.099462209341086, 1.382706665115598, 0.7396708770659404, 1.58809433736941, 1.103882642530529, 1.0223499135754834, 0.07718812547868936, 1.3890077601218493, 1.0160250142446232, 0.6409702632523078, 0.9602416437142348, 0.897916551577775, 1.0012205414368243, 1.3249853106681022, 0.7397170145959132, 0.961605990372854, 1.0528962998646296, 1.8529132422792425, 0.9274744398627398, 0.6112233741452373, 0.6393134799066095, 0.21735931206193704, 0.5599022728486502, 0.9858250734008281, 0.7526535635153873, 1.5297121857214817, 0.8401382430918565, 0.8240978504054481, 0.723202290843425, 0.4363594079329768, 1.4506141447900713, 0.48833867514930596, 1.1418287188241751, 1.3068061955410994, 0.5851184753033443, 1.1009416711621034, 1.711051974497706, 0.6911524180994926, 1.7171360057793734, 0.859500578179204, 1.1311164713708513, 1.6007614223054834, 0.8705096727997895, 0.4765579603892134, 0.4964542280174731, 0.9896817903949482, 1.761869385057533, 1.1742368607685199, 0.8726086066642489, 1.6261387090405313, 1.5559739992141344, 0.8441637751995211, 1.0820572049779806, 0.8457559555571673, 1.0268428260583624, 0.5297251608215349, 1.3495541964001574, 0.23101561127704995, 1.4095838114427486, 1.2094843748808257, 1.7398407424072189, 1.7326223502548705, 1.7845325585479963, 1.59335133430943, 1.0841943532742055, 1.5153265885746094, 0.5821741508647424, 1.7416446593413633, 1.2997782049865443, 1.6296638166956736, 1.2780236382730783, 0.6500493953326157, 1.5521069760837676, 0.5047724779317436, 0.6330876885452906, 1.7374610163977684, 0.8774052635626628, 0.3748980830724796, 0.5633069147953954, 1.1065984169805634, 1.5748242875392284, 1.746237291453688, 1.1537784108773501, 1.1210740968695836, 0.37857563075573664, 0.633614090204797, 0.4821661388850792, 0.6536490735192751, 1.431596377396812, 0.9035194739746703, 0.9771432663833832, 0.6417113594350944, 0.8720503697799209, 0.8511837488797065, 0.8321608748347646, 1.1739996708267824, 1.0381055138184394, 1.2771160944230044, 1.2267348987964453, 1.1442518338918535, 1.6985354901140621, 0.7935974689747547, 1.0410691904052576, 0.8578941521190718, 0.8903556418289595, 0.9199107134999611, 1.4321249455329648, 0.3637557244936216, 1.3340549996775946, 0.8490016489590922, 0.9988462042102084, 1.3912241738810773, 1.6600853793752126, 1.1910225834811397, 0.4423007694260431, 1.3040563452775609, 1.3821128554342392, 1.24898520578878, 0.7783667835066734, 0.678311474335488, 1.7254944773696117, 0.8788464371698077, 0.5948744085235219, 0.8403045392128395, 1.1576738219793619, 1.124178839250064, 1.6078147590272631, 1.6414995309423215, 0.24892717007035525, 1.0906065554002224, 1.1654319418164116, 1.657551554436449, 1.5452994862005216, 0.47815187405335746, 1.8263563029170367, 1.3417334108458663, 0.6060927010271899, 1.4789459783782934, 1.6387203557609649, 0.8288155117641153, 1.2324970234171075, 1.210604275533408, 0.4073720806418486, 0.5337894726240364, 0.905411218365129, 1.1536187728653076, 0.22185558810285433, 1.0707896595890183, 0.6504581172839813, 0.7280830557401935, 1.0000976741817555, 1.3164020986109022, 0.8409293631208777, 0.4713984938248702, 0.3066986413936499, 0.7201264446424049, 1.0024483268562339, 0.727578152669933, 1.24312892371679, 0.7991324418127677, 1.0244107018408273, 0.9360100004013824, 0.680405715816803, 0.7785071883990992, 0.5842841210168074, 0.9120271969961458, 1.232146754336172, 1.37538105857826, 0.5952567657324197, 1.7422024162042797, 0.3219703220996112, 0.6315795017579452, 1.3652296710981882, 1.3842421439924206, 0.9598151210911081, 1.2408826362852658, 0.8426553989358683, 0.8595953717458584, 1.2687740936649123, 0.4305143847869942, 0.21885539096300788, 1.0762758252988776, 0.7767629876205848, 0.6576269895921745, 1.5404754311315099, 1.9066482020395443, 1.1093771964622197, 0.906082359472117, 1.3980313291360043, 1.6807640343049757, 0.20271363632124806, 0.3077466772447306, 0.6032498444502883, 0.5196485772332252, 0.6940110445881795, 1.0864147595164, 0.19843671060522594, 1.2466515257526471, 0.6570591651922423, 0.46348271831194565, 0.45038899787179754, 0.6275559526433858, 0.44998835708064167, 1.0026344209124687, 1.4827529717136985, 1.1706067036998982, 1.1522426424496177, 1.098266232978709, 1.2144037217814025, 0.9225941590808746, 0.8549303769966539, 0.8812573576285667, 1.115592161547927, 0.565148077788573, 1.1315169220129015, 0.29173748163028734, 0.5199085277707836, 0.7128301103531441, 0.41461284655210706, 1.62953560366172, 1.3132562300904078, 0.6164375435186784, 0.8631604378853376, 1.0223830665998086, 0.45435224884382663, 0.6643777615751308, 0.9181043868367714, 0.6394459444820597, 0.17898749827024485, 1.3528605338596078, 1.56839917538418, 0.3687351541683719, 0.7471076074605338, 1.1785809516146806, 0.40965240545282666, 1.5240555044395165, 0.9761649513862279, 1.7391400532992862, 1.0020254321527662, 1.112569225241733, 0.5130154480040223, 1.3767057327110903, 0.7681474267938128, 0.966734138503521, 0.7790316347474002, 1.3981397963875637, 0.8571081175350259, 0.7929567022592318, 0.8697262399442064, 0.6034231563716874, 0.4959318654057674, 1.201155832474465, 1.2830001797158967, 1.1496043036020787, 1.1096047338839217, 0.6847911881403836, 1.210321459228613, 1.5951783385267335, 1.5082987156908754, 1.881509692105547, 1.0883378563180002, 0.3922110459306799, 1.3091467355890087, 0.7880902352404575, 0.9707346700139595, 0.26980055074658515, 1.425149310853416, 1.2873327389995586, 1.3108624121042707, 1.530495906107312, 1.0025558110397872, 1.3080873145127048, 0.7750171831892388, 1.2715813093816992, 1.3220496862333913, 0.832817648084088, 0.5753062736722162, 1.6824965471068594, 0.967050692285356, 1.2889350570965576, 0.8887276664979638, 0.6183807955323357, 1.3774729100711425, 1.474443884866683, 1.16769586353468, 1.2379300170415695, 1.506639586649253, 1.973901924684516, 0.7372052707227393, 1.3545013157182573, 1.7684468553957358, 1.2459185821779366, 0.8451366921108259, 1.803061857374412, 0.5756396468520691, 0.996143778936656, 1.2826721648584063, 1.0437968312301589, 0.12661124885900976, 0.5321687184400985, 1.0830533863117173, 1.555802728461031, 0.6855812179791926, 1.0186658651532419, 0.8051883534349279, 0.9855496969867267, 0.610386255071809, 1.1313096936190663, 0.718418862140296, 1.1147914975507125, 1.4905424965965293, 1.177853848701265, 0.8006083619077389, 0.980913398958392, 1.6213724643267355, 0.6412545969239882, 0.9085467729585157, 0.7803010326639493, 0.3628392488579034, 0.41801669834353217, 0.6684006068573037, 1.0190901729480828, 0.6654488689691413, 0.7246264339540062, 1.2388386588120457, 1.586397762553975, 1.8263167719910642, 1.5764328343962464, 0.35524073989251426, 0.3096085923235693, 1.4708452218478643, 0.04882282557464657, 1.3897222290892062, 0.6743887645967722, 1.5543738121752244, 1.2157461119374107, 0.9054192830701977, 1.1217282469192726, 0.8339292740340692, 1.840150079278461, 0.8279571709407292, 1.3261762556276246, 1.1542607851946878, 1.0976869643426417, 1.0296796276066724, 1.5642570497807498, 1.1389743631900417, 1.9092320039859754, 1.207887844692246, 1.601085097617601, 1.546901825439396, 1.5208281470465117, 0.41089133821779744, 1.4095468708599355, 0.6024788445976244, 1.680940670174937, 0.8385978217664378, 0.5255138488422756, 1.1670329313339958, 1.362112939317993, 0.7123648016227943, 1.2035580664444647, 0.9833649260700008, 0.7762080998309473, 0.8814019594330997, 0.2982782823225565, 0.7732096106917445, 1.3939750502641486, 1.0556986087362379, 0.24974989671378134, 0.888069366965923, 0.3807289841736118, 1.3227786428643278, 1.0273472878583392, 1.0467945027697705, 0.9811349739333023, 0.10603937262650476, 1.715345723655291, 0.7122241150954685, 0.7524541279881514, 1.5709497152671468, 1.0223671562568282, 0.7164039554040638, 1.1477662878679111, 1.6900144190193003, 1.2106122051470365, 0.7913738718456619, 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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
********************************************************