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
[1.833678855354497, 0.4637104605749863, 0.8251689572056289, 1.311889356691154, 0.5466191261162716, 1.4230958396794327, 0.6657874454137745, 1.5647981810058746, 0.8673623947524205, 1.0205480914330873, 1.3310347441791164, 1.0917057185576442, 0.8339369842646874, 0.8343257634821983, 1.2512141163708934, 0.9989700074543529, 0.822502413069929, 0.5423080841516348, 1.3368925381739094, 1.5247470551579023, 1.3987084774495426, 1.1638857192003815, 1.364778487901974, 0.7974989279357892, 0.8519975552203339, 0.4020585845549798, 0.9106903889381869, 1.3777380023491785, 1.0968095080688505, 0.5461390093341311, 0.9753694903724621, 1.023990398875124, 0.5965101981245625, 0.5952702211056979, 1.4175207161274077, 1.4172699979291132, 0.9698480371992013, 1.755913326824467, 1.3586736248709874, 0.8177182306808977, 0.8099079968412114, 0.8200174061022203, 1.0855570196684967, 1.2591638810460901, 0.681431193588463, 0.4098666898951856, 1.054254449239505, 1.2119408633614444, 1.1598382914276884, 0.0628330277524588, 1.1472270036080339, 0.9848552208841442, 0.9024242785127394, 1.7940399165257026, 0.6307338324280243, 0.8178838618864228, 1.669135537338339, 0.4102157159197417, 1.3117529564256691, 0.2699367066342847, 1.0498339557511827, 0.7545421899530985, 0.09456251123044279, 1.1199425229977047, 1.5244202090677086, 1.3694657829539816, 0.3038350220143561, 0.8863608667020723, 1.4658229819219906, 0.5389687073013508, 1.6994557571007303, 1.3277140417939886, 0.8615344532701243, 0.9211645639135916, 1.1896728871112796, 0.9236660288183622, 1.1298200645826018, 0.6946264396778447, 0.7536441937541052, 0.7833783801004249, 0.5125200168308024, 1.1771574129182185, 0.6629971236143671, 0.5997358560084459, 0.39308625586966606, 0.8997547619463363, 0.4876386358986593, 0.9028648161904994, 1.1508563833026781, 1.2371329554186588, 0.6388985173900915, 0.9764631400458056, 1.4636075588130981, 1.473320628372436, 0.9265695070293418, 1.585133620215477, 1.222348052443954, 1.5479084829184866, 1.7489311202908895, 1.0747126327460357, 0.7704363663804858, 1.1771132683999395, 0.9272608133346756, 0.4523643138132337, 1.2802803700024443, 0.4609969212923043, 0.5457790139086471, 0.8974461794523045, 1.4824094773274177, 1.2639995038370921, 1.2064130920573457, 0.4617263954125964, 0.7118459654957144, 1.054264953910816, 0.14232114791843264, 1.2014364301222287, 0.9435716520147969, 1.4652764844621848, 1.1247100059084305, 1.2813005095115444, 0.8474461184317368, 0.7771611185452072, 0.3428207778178366, 0.8457864672289416, 1.2253454390473046, 0.8680628839965331, 0.7324687414467431, 1.0431810488676683, 1.1003233195992066, 1.63697127375569, 1.354383971600031, 1.549539869937659, 1.2241929715278899, 0.8607767200095264, 0.7370951050371768, 0.699034791396075, 0.772930695896145, 0.8011557888636772, 0.6246990891773574, 1.214503527200706, 1.3027203208606126, 1.2298541377215377, 1.3518278523797, 0.608050970438365, 0.6127565637705125, 0.8643206304029013, 1.2920027109007743, 0.74155974364661, 1.669889150193596, 1.7435046128456873, 0.5614179833164381, 0.7721970129191672, 0.9295409158522436, 1.5251586621945123, 1.6717910216223455, 0.9591368215184208, 0.37030178453369167, 1.755805929217472, 0.930905564606411, 0.7809164938362299, 1.3069414820558651, 1.4845733546410012, 0.6955662402269479, 0.8397735165643941, 1.5736007517329202, 0.9972183120840952, 1.0839680336069435, 0.8507080925644155, 0.5479467328782059, 0.8787637030566502, 1.6581270698146509, 0.5245826728186876, 0.8220545125147599, 0.4638237872550821, 1.2386749452230985, 1.058956768958268, 1.5342162872171712, 0.41858736593121715, 1.3423674265371721, 0.8606033087924474, 0.7775608470591542, 1.0315867821697449, 0.20431687315113556, 1.258672830692904, 0.6769203045798529, 0.4797436729013126, 1.0703653754385551, 0.839087265163239, 0.510423425490077, 0.9715606985919872, 1.6611611888507016, 0.2268687856133883, 1.0174728668889408, 1.0258702949969658, 1.1651286807517542, 1.4619814422521495, 1.2539162571317166, 1.4668071641585971, 1.0411674801647743, 0.3696696289346739, 0.49755800977906806, 1.5466250395156158, 1.677819457348908, 1.199030528793561, 1.3089156316791364, 0.44170659695876746, 1.6978582812563479, 1.6671573347968203, 1.2743851792638003, 1.352145191335566, 1.3401085911612718, 1.0436829413709365, 1.0297794586122624, 0.9805933295883713, 0.8729897292396862, 1.4425286127256576, 0.64909014229295, 0.716396451279594, 0.6877455524434716, 1.1615129581428163, 1.160868070958692, 0.20202506444361046, 0.6508889900857282, 1.5190406471046012, 0.5206313989310908, 1.1326176567124833, 1.4040948939091615, 1.1452814583125441, 1.3174560526712076, 0.3376944217735255, 0.3282774251115964, 1.3535740557356464, 1.5612921568918985, 1.3485191011143303, 1.4345211561379418, 0.36041363798758963, 0.7974079161846629, 1.071007062039862, 0.8928261000664758, 1.4824627661139123, 0.8799342422744878, 0.8910938903789282, 0.9062390500105509, 0.6845695632289212, 0.6709114321515961, 1.1276836925435354, 1.101273142406499, 1.2041168020448514, 1.0587734974902578, 0.942431597124827, 0.8511244255097793, 1.1263195074600625, 0.3672166262861559, 0.40785991245300435, 1.0649820313905738, 1.1317591862774468, 0.5851655479746675, 1.5424299563771742, 0.4331176819964565, 0.961195647153971, 0.6525527828829947, 0.20889711177749803, 1.7195552798527556, 1.3018636030021584, 0.9250598917614189, 0.1431875792659698, 0.7082045437970249, 0.9007697187530518, 1.31874156751664, 1.8342340618652324, 0.31696229923604546, 0.7271440534102218, 0.2824170612998622, 1.299992940238051, 1.721911954021968, 1.2827089885073935, 1.506689775607302, 0.83519248257193, 1.3186387267127233, 0.9707602236866529, 1.029685767608024, 0.9363643213448554, 0.9217756193142247, 1.4938234685473328, 1.6571938594591633, 1.3153534892882905, 0.40816140941961154, 0.8742402126944959, 0.7891519153021, 0.9603790094364337, 1.6684206795256258, 1.2249827818780838, 1.2441861704748667, 1.4744713628972557, 0.801143364489134, 0.21721308414895224, 1.6833858344745956, 1.0598186091235917, 1.3354284480348073, 0.635948721533435, 1.2206709904911905, 1.0927472675913057, 0.6534144572438874, 1.3686315421748754, 1.3242804733869444, 1.349130355321051, 1.1594347139842789, 0.8062354855045855, 0.917847002065629, 1.221654518758323, 1.1184984954877144, 0.38764748133082116, 1.0177266190706402, 1.2001360562754604, 0.5551152218513947, 0.9655432640915835, 1.300647347937689, 0.5489666796729513, 0.5744585372820217, 0.8266178970159221, 0.4641771486196338, 0.31384419714302114, 0.998191459343612, 0.5882657363025517, 1.7465285890772084, 1.6340292827387213, 0.6539833263797533, 1.1818935179054115, 1.2119660970361568, 0.9978383250570664, 1.7666847655530777, 0.7157350649325748, 1.4348890962625804, 0.4446506822825508, 0.26795875786908685, 0.8374213803281564, 0.967116962457863, 0.22768726557596208, 1.0711205347995567, 0.966457276693918, 0.08507390512415658, 1.03425118963971, 1.3545226929934073, 0.5651338630757418, 1.287679365940856, 0.38149033483234507, 0.8602080858388411, 1.7098135623298858, 1.237534909492272, 1.3464705812567273, 1.203382835252595, 1.3637640417988233, 1.741050499474809, 0.33341912140192753, 1.4146187978785658, 0.618592333404884, 1.4216255164017213, 0.9307487898818931, 1.1681228517755309, 0.9766310057298023, 1.498992518196684, 1.2466496549631674, 1.0771872887640528, 1.3173564600509196, 1.1086586492346524, 0.03283766173882685, 1.1630507891036475, 0.9368442293150782, 0.9369821295765839, 1.3989265995168312, 0.8653616084317142, 0.7637851288725365, 1.5801901838413266, 0.416821488243895, 0.7120676563483762, 1.4881046950817178, 0.40967719611668174, 0.993014525484519, 1.0826959083165297, 1.468172219980528, 1.1604044209163753, 1.197272296805664, 1.8281976429309377, 0.39713527943637206, 0.9156727956230459, 1.4361498593010407, 0.32251501868826415, 0.9505941011520934, 0.9800865682023109, 1.8189296496336769, 0.8004160269163432, 0.9237922675846972, 0.988667539765169, 1.0109402128053808, 1.0272768354338733, 1.817666923403943, 0.9442578189431726, 1.6549859030990175, 1.21480525504453, 0.6686474759496038, 1.5814807794898997, 0.6542235322429166, 0.48655012871879255, 1.4752686712768472, 0.9096146415773516, 0.5865487886201356, 0.2237696846053373, 1.3672252087735077, 1.1062941222164893, 1.0387395935224717, 1.1751211633185557, 1.3329224151609362, 0.9684815061216765, 0.9215172146622965, 0.841393773520833, 0.7416482382236871, 1.2348014177380189, 1.6170026053411468, 1.6035951188866941, 1.747687003867231, 0.7769622209630158, 1.1941012087357628, 0.2903215919701828, 1.0016458647869397, 0.6878512527344005, 1.943938093863185, 1.3261917005930322, 0.7633935483384998, 1.4576387953300634, 0.5148770091361963, 0.7435890209794749, 1.255411751854243, 0.9708930214632935, 0.5180208978151576, 1.6567180972708546, 0.7693868617704915, 0.9406271294828332, 1.5256791730938588, 1.366617192189885, 1.0910291888257924, 0.2948532249641739, 1.027607321166084, 1.479470591087134, 0.6371331046193447, 0.9772445559345567, 0.7360791636403313, 0.8964394981832129, 1.394684613979968, 1.855200741682252, 0.42385897941994355, 1.1214805149259097, 0.8318239055135568, 1.3066904136518562, 1.891109646117786, 1.3044723857148972, 1.8614400219244467, 1.0048258865287594, 0.8578985788299635, 1.1259463482525947, 0.5565544563330524, 1.7202007576209875, 1.121014538357508, 0.5941618291131053, 0.40504693366296385, 0.4563222904047889, 1.0725669305395165, 1.0896953156323956, 1.2761860338785853, 1.0540155547306242, 0.9375529339252593, 1.3089877275890647, 0.9400135763353514, 1.1168676127077055, 1.482167992754678, 1.6880436273697264, 1.5839477134063704, 1.4649025254725914, 0.8922324580426119, 1.6125311557383402, 0.8362037743886823, 1.5555639152736616, 0.7283192327919215, 0.2309062265937356, 0.7810036929860953, 0.8235435348606481, 0.918003767106617, 1.6358246723494654, 0.7867252675268464, 1.8645856273955945, 1.3136663757374345, 1.3961063510124987, 0.513992701328361, 0.401309661624757, 1.2546087165956052, 1.3758796774917033, 1.0153639304225777, 1.525588349082831, 0.5951560378706222, 1.1112623049840056, 0.4531956041137519, 1.0871625699785818, 1.349844741927099, 0.939093037459449, 1.0293202175077125, 1.8799798231939695, 1.3403802460132388, 0.8500138346491897, 0.8433069321927259, 1.323658418204738, 1.1989759883125861, 1.8313922208763547, 0.6831941438749042, 1.1984110627473132, 1.3085609433934877, 0.9757281977191865, 0.9434036412089765, 1.584428976734112, 0.3941466000285824, 1.018238521891822, 1.1467548013489626, 0.9335588908402312, 0.7356815279329232, 1.403520467809105, 0.9868940217839008, 1.5454263181699543, 0.6291108937475252, 0.953692441129216, 1.6921379637420275, 1.3035026211081595, 0.45791781486323946, 0.32608470116399924, 1.1752057664219335, 1.154990926523269, 1.2474015497924986, 1.7925794385627323, 1.1486925184735406, 1.141819337639645, 1.0544363872479527, 0.7919384567183114, 0.777962493436415, 1.1619443148397552, 1.2419564221832118, 0.17737662374590146, 1.1776569504877799, 0.9280975267068208, 1.0113220543000114, 0.9613952054066667, 0.7430520874035507, 1.327494120499963, 0.7794607945915659, 1.232321910780935, 1.1431565070584813, 1.7609243179162997, 0.690570952257151, 1.3192301039563543, 1.413292943880315, 1.0162264533730663, 1.5433771021317435, 0.9645316462438294, 0.7759528563681667, 1.529842802277862, 0.7012764962407507, 0.6969573327178988, 1.0934150792822397, 1.3003212658927226, 0.8950993652246721, 1.6331938469737992, 1.0899934091220347, 0.9022427029198389, 0.986998020057974, 0.15965084939743046, 1.3114675808493073, 1.0419958551929667, 1.8345328004956087, 1.3337713821873516, 1.0276566107768765, 1.2219795765597943, 1.5159583050352017, 0.45334124352138994, 1.5585040462623008, 1.6678406853822905, 0.5678156081887323, 1.7989530647104295, 1.0923844113683148, 0.8051816216898379, 0.7339577533979827, 1.0314912472620117, 0.7965347450722463, 0.338961202325044, 0.9584787315920865, 0.12260836930062202, 0.4772042970937529, 1.2594553336045213, 0.32760455669014044, 0.1621635556854063, 0.6873718212137889, 0.40140878598180374, 0.22194330971509157, 1.1710971528691678, 0.9049497769070185, 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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
********************************************************