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
[1.6295444543818425, 0.7682641581840065, 0.5688501346398221, 1.7349915887940313, 0.34240668721599665, 1.8129727228214119, 0.44144609567927784, 1.1844437821450766, 1.0676591360333771, 0.9209777590260219, 1.1522776481300805, 1.046955888210573, 0.12786767509627306, 0.6160455573963768, 0.5108724058925447, 0.09282839671001641, 1.2172796926835634, 1.9061469247953493, 0.9759651959687146, 1.0288654795103946, 0.9803601379420879, 1.3912172238119989, 1.2327713474074518, 1.3442337056109936, 1.4255732215902637, 1.3253522443836894, 0.8268610135391908, 1.1043292364488035, 0.6070547295693902, 0.8709726887247944, 1.210055777428964, 0.21242236230457634, 1.511500027411685, 0.35122900518106226, 1.1508781907620516, 0.5745176650754502, 1.0994146946983876, 0.9257678376773317, 1.448200657177663, 1.5967988695819608, 1.3295550985689313, 1.1029941058575488, 0.3431109981027236, 0.6990268473145599, 0.7714242518230537, 1.5097782642046513, 0.9604620968006221, 1.342106362983846, 0.9761505665478536, 0.31123141111131825, 1.0250820473538282, 0.5420588027427826, 0.8547036648744836, 0.9754340464879068, 0.7869146832666167, 1.8254421672359267, 0.9634842555255763, 1.6251687012712992, 0.5217391478037386, 1.1195882321444568, 0.6802969925140138, 1.314514393107192, 1.6768405114334626, 0.48249403936583246, 0.8360394799329087, 0.917702088754649, 0.6304975754084398, 1.6613439228633697, 1.1091993111720373, 0.7165387567236119, 1.3969871332946617, 0.6651065454440385, 1.08351715914467, 0.8253300426051241, 1.3473327507790946, 1.2293175856957155, 0.2783173036656482, 0.4809001409913112, 1.1744839107586837, 1.280072766065557, 1.3974369188100224, 1.3516651795839523, 1.564275359847209, 1.034627766474135, 1.430627396661035, 1.2892791883462118, 0.3956435208777903, 0.8579659206295474, 1.4650996364529476, 1.1374366964882654, 1.0891576168518322, 1.4097814952793513, 0.9190060648874148, 1.051779157825969, 0.8850654233418775, 1.2933265285160087, 0.8756772396284963, 0.6472448647348019, 0.5128851024940668, 0.5918081816854716, 0.9033431850958179, 0.863086320933653, 1.945584453260528, 0.9471607661909363, 0.35021446676256685, 0.9012794234531822, 0.8024382962937842, 0.8229297683356642, 1.064611521235544, 1.419470612877344, 1.3261493332496204, 0.1511743285057202, 1.0889139236011887, 1.1347862482135342, 1.6982056911597039, 0.6731204129762131, 1.1805454152485173, 0.9666314333607291, 1.0059039999909738, 0.7454599473844057, 0.39706944626787577, 0.899908525870414, 1.3404494163515315, 0.6355899312680091, 0.8699783386140361, 1.2946264381887616, 0.9349737564607643, 1.1052379194600415, 1.3062292069543895, 1.0397593825291778, 0.43943745921193467, 1.6903911687360114, 1.3219966095648612, 1.7936597978374496, 0.7940192646606179, 1.7218683256193006, 1.1286080509606935, 1.2498740370977846, 0.7010466462808395, 1.2990960369300775, 0.8591247773295623, 1.2179239630696677, 1.3450717506367385, 1.8912484732169108, 0.8569833299948735, 1.2571419018432266, 1.0706173226410916, 1.52250521732761, 1.513881716140858, 1.259245479196647, 1.1501133736296765, 1.443671869796389, 0.5125807794147584, 0.16006050837871078, 0.7608192099572423, 1.0843992960343884, 0.2096973902224335, 0.8551645793713581, 1.000046770930211, 0.7161855304176697, 1.4846053686072698, 0.5956864691028668, 0.16306014540577052, 0.6756121650956097, 0.8377994506415379, 0.6885250387593991, 1.1292998272146255, 0.36544541151684695, 1.5235698732669318, 0.9913149884579412, 0.7275105975396801, 1.6243428951207175, 0.164774756165052, 1.0700687031252016, 1.1973333281761587, 0.37526857521597434, 0.8396845539513532, 1.1215891749119842, 1.2204941317250768, 1.0160103818294295, 0.8854330059253851, 0.45122584059558235, 0.8222439150245345, 0.8858357289308498, 1.3056651118331364, 1.3988276231833674, 1.3946821380782617, 1.3076508703226324, 0.5898491671940168, 1.6870595485180244, 0.9187350254256755, 1.675476263435283, 1.0346756640214776, 0.3325022762509522, 1.1145822240215844, 0.8535141641738133, 0.3965818792584971, 0.6879594256539446, 1.42407037164336, 1.117516861674488, 0.2918117995178846, 0.5771692867462964, 0.9392111818784424, 1.3560083016886446, 1.034677204312556, 0.8212985880828165, 1.0108084353636029, 1.6892841294215186, 0.7605334075473159, 0.15015751014222356, 0.8399617939249304, 1.499048360524455, 0.6956701978446304, 0.23526323030123253, 0.8206592236991817, 0.23688247465122214, 1.195067418955641, 1.1109090221070312, 0.8160230325810475, 0.9529389710051376, 1.4598772770568234, 1.801452756642111, 0.9254420801440271, 0.99574187157484, 0.44711969753030245, 0.683454111191577, 0.5569596144417671, 0.9834670392572724, 1.3703141475572869, 0.8325836163382624, 1.3842295435322645, 0.5396621297663811, 1.4567589260586464, 1.6777558821278462, 1.0703723952747008, 1.1316839410122093, 0.9925099614805871, 0.895340852090261, 1.1984079077193166, 0.5462673843797817, 1.360556127514279, 0.7572957112773314, 1.2336893084022242, 0.8982088790264087, 1.4559299462087931, 1.0211850200182324, 1.7114407936379326, 0.46697454124186466, 0.4359886121681845, 1.7291071922458905, 1.2272188417057275, 1.6122090598580083, 0.44323239782694845, 0.9952874740276668, 0.36518383002488286, 1.0257091402903629, 1.3383747376522814, 1.231982043972994, 0.4877559558877481, 0.8783110560794095, 0.21485260391719085, 1.2592439332221539, 1.756397453527763, 1.7751856707489613, 1.905353447944831, 0.8085012403461953, 0.2064253299256108, 1.3420861312164356, 1.0668914711460602, 0.8140721127898289, 0.6656273051867326, 1.0420432834202011, 0.2880197553296473, 0.2213913240545411, 1.2281816703163875, 1.1676546852333702, 0.5713481532267524, 0.6074601956758071, 1.2171299895482206, 0.962640898676423, 1.1709766935074502, 0.7278304880574772, 1.5970339439228454, 0.8859951205191959, 0.9993679441464288, 1.2492241684150982, 0.8852179002638901, 1.2246202558936112, 1.1415592166544002, 1.4672574867488537, 1.1601933804171796, 1.2101092769974755, 0.930254695547692, 0.8214036924076608, 1.189882277436082, 1.3254154661294002, 0.5556617200569646, 0.5020450912696686, 0.4563638470197886, 1.7406821840653632, 1.3422921189422927, 1.5180442606175286, 1.3355832832235714, 0.9911412347956281, 1.4723396452350834, 0.8913031715723897, 0.5863827451267042, 1.147296337373919, 0.4971352113490002, 1.634536680966297, 0.5125778230479744, 0.5712087948123575, 1.2957040591781788, 0.9574917122240634, 1.6403460289035134, 0.5343363789804209, 1.8160028226713396, 0.8307392769898063, 0.6581606408938075, 1.0185671726152492, 0.9290339873288647, 0.9123916128286957, 1.306544975906883, 0.6555741536283569, 1.3455017780144658, 0.96047732817761, 1.161819005639479, 0.9297835643749419, 1.0347383271217638, 1.3286523994307715, 1.3575594092048813, 0.3753690097066431, 1.2661768603096453, 1.4639772397596444, 1.5482217078406029, 1.010525612339362, 0.9436711239645128, 0.6650005026092823, 0.7829287886816926, 0.4591610394265132, 1.7839940359191182, 1.1354343032739256, 1.5832500068392117, 1.7409974076435994, 1.5328933526510102, 0.6662856993232897, 1.053948199113138, 1.7548277728402584, 1.9108656844845608, 0.7850007274059642, 0.7167179123996438, 0.5777906680090272, 1.2735862949690253, 1.1423769880776296, 0.7910799853145589, 1.7303038670381612, 0.8180655141411906, 1.1726380774191445, 0.567724687473254, 0.9224711315904593, 1.174020240316076, 1.7284461681052568, 1.2861175673201415, 0.7580881959009578, 1.2277433817607564, 0.7990505667480085, 1.1713623115356953, 1.3457721657831168, 0.5506641715347621, 0.8717649028744215, 0.9878007182556029, 0.26076827674907554, 1.60124030314454, 0.9128723086558731, 0.6793883543065856, 1.3123359656566693, 0.5463819859357277, 0.36829801311115284, 0.6845438457820415, 1.1705162337916963, 1.3069607695323353, 1.147532690658306, 0.7150008762566397, 0.9106361858413043, 1.2855223215251157, 1.1964858782899468, 0.8250702891016028, 0.7815910489296299, 1.5202307781565638, 1.8010545256882162, 1.0235988396692748, 1.2179724549383912, 0.14664119828667999, 0.33469475090983014, 0.934292190237193, 0.6301258154860624, 0.5928885825146721, 0.5768762425721993, 1.5834913033753744, 1.511427021238158, 1.443445292751938, 0.8929187477301409, 1.0758519376143565, 1.10605082346882, 1.5099928111042717, 0.5187248046293855, 1.6576627384704854, 1.4393674318845036, 0.48321025957939867, 1.1163420414527139, 0.6092995983151049, 0.8332189885414941, 0.8025507085524847, 0.5083750852558327, 0.6567198218270536, 1.2458522757629011, 0.5108845550030174, 0.9344045832459321, 0.6547335279004551, 1.2881413505460966, 0.8274721798447457, 0.3883924271716007, 0.9936977689996462, 0.6840600043446022, 1.0121575214328646, 0.6167380827602174, 1.412664642493973, 0.8096696080582371, 1.2049799144211066, 1.0651665113936173, 0.9931090558004335, 1.463243563258894, 0.6677928197767137, 0.6615682721524557, 0.3518216174029901, 1.6796995364507348, 1.3300627296863443, 1.0737911224594998, 1.154060690104104, 1.148021627122115, 1.418710971340848, 1.0366316186738354, 0.5799105585482089, 0.8165649030281772, 0.29333799350552603, 1.297544342669534, 1.4879969274666118, 0.9564459898189508, 0.8478232233716226, 0.5653338027973606, 1.1777327990277813, 1.5922680943635878, 1.2516318684031096, 0.8029079407132713, 0.6992336681011251, 0.23031740733785844, 1.462540781589195, 1.752047159060857, 0.732773222270573, 1.0340588382428701, 0.591662058312291, 1.2440495203257171, 1.7034867552989787, 0.8789120630291468, 1.1842766488113288, 1.0525840677565013, 1.5083886265274895, 1.4699828373029864, 0.921463091712954, 1.110386820917838, 1.3012464081830297, 1.3624411294201912, 0.8699882452857077, 1.5388267644073645, 0.42323371487951233, 0.6712577417350031, 0.9154557850859423, 1.2321075120020986, 1.0427030467364742, 0.8488537625397953, 1.0457111523006037, 1.0650287344418357, 1.0490143583206968, 1.6527858317791124, 0.7471005594596792, 0.6594682281143464, 1.007227748951021, 1.1651621801961234, 0.8654023815325012, 1.5533328321105557, 0.8038793995011875, 1.6461077471174992, 1.2724865804374845, 0.9776868391676111, 1.3283989415911504, 0.4848933071433099, 0.7949963650101248, 0.7039345128519424, 1.6119085486609919, 1.7194261319562092, 0.8393644494950933, 0.49712699415001316, 1.0872201114090554, 1.0220882067606936, 1.2910280258310938, 1.5545493221594993, 1.098686633851342, 0.4605492160390998, 1.440796048415701, 1.5621379177265347, 0.6921517595892865, 0.4034248432937283, 1.1374258167198326, 0.5818286309918689, 0.18721615808556424, 0.9939565087674869, 1.836963556054934, 0.5452812761887644, 0.7470785894584244, 1.1060137852907594, 1.2805516952892895, 1.2634492489195817, 0.5244008626747642, 0.9719240117547266, 0.7582325775651191, 1.109033444340664, 0.7934323915236814, 0.4848453730718296, 1.384909171265097, 1.1809039491924411, 1.6501111524670447, 1.2885593276463696, 0.3441236326399716, 1.2383375654673356, 0.3626141149093999, 1.1037918445825792, 0.8864913542856602, 0.5805827913455898, 0.710011644612623, 0.7823114254760882, 0.5947251933944657, 0.5921354551215537, 1.1620829002895932, 0.31978556716131423, 0.4629310172754958, 1.3917019304945915, 1.3833955746379474, 0.7821330841152083, 1.4805278442963865, 0.7439583598734041, 0.9109425032105708, 1.5025289768582692, 1.7491842688633095, 1.0881640112413202, 0.37888595932230795, 1.4140460921131321, 1.2126392575730591, 1.195738815592803, 0.21808915660594863, 1.1048433722126498, 1.5190189428011616, 0.14771117146284385, 1.0129011527226632, 0.9561388485724234, 1.2662163037705878, 1.1232027689324497, 0.8364646523730349, 0.5373098864284974, 1.1483087158358987, 1.221210635102869, 0.3904108923078534, 1.3276144182037053, 0.6244176839249759, 1.82484412183834, 0.9734225628884392, 1.7170277873107074, 1.5060777321343677, 0.8489196033092695, 1.336343514218024, 1.8266751055613715, 0.48345219779285264, 0.7631672549903552, 0.8476323278426194, 0.8498639466995435, 1.04752989766595, 0.7096965774192707, 1.3315639914921724, 0.37601723592571823, 0.9470005178019381, 1.386505733786744, 0.5896531394914549, 0.5589315739278131, 1.6897291568055435, 1.0694613982278813, 0.6366679827765366, 1.7950347912123346, 0.15359089676340043, 1.6328078602267042, 1.7541607488995294, 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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
********************************************************