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
[1.0124164488548892, 1.297290812928043, 0.9410510118882052, 1.3932793163462946, 0.718948214770188, 0.2992045894226504, 0.6056048388972559, 0.9995335169779589, 1.5593687616988485, 1.0760038672790446, 1.9090123408760604, 0.24495825299722074, 0.5857335845904675, 0.46136559245539943, 0.8674668027602586, 1.3796183982841872, 0.25971702245977, 1.1998599059067474, 0.6562824530305291, 0.7969751684754213, 1.093247552850897, 0.4678945320368758, 0.7562453486956329, 1.6348575246017858, 1.5113834333468246, 0.8692876326423514, 1.0534540952253715, 1.1000676322997625, 0.6852271416338561, 0.8332203482407088, 1.1620589556088476, 1.0145391041171177, 1.1733672290340882, 0.9770649469354468, 1.0032616121315008, 1.5831058063764951, 1.1231325868029551, 0.664369555934701, 0.40139776488234635, 1.6483560950355647, 0.7934224377304395, 0.9677919102619982, 0.9434549264022718, 0.9692843482725609, 0.6920146345912772, 0.835477639959691, 1.0537098683432986, 0.5381794211052616, 1.0963067899221626, 0.23062799530354117, 1.130058233759525, 0.49039767897390196, 0.2628998224095105, 0.5899214827908628, 0.7908118024891357, 0.538108289773306, 0.11483563671282859, 0.9994226959717628, 0.09486041777883603, 1.6994360644072253, 0.942824341196657, 0.8101768043913808, 1.0167130999274803, 1.15867433889467, 1.2813875748639632, 1.0996145361209688, 1.5747113908763044, 0.9373299704031348, 1.0175813880035598, 1.0943499312580176, 1.4614525475650741, 1.5264760639220065, 0.5834882935046152, 1.516118338511672, 0.7457796116049366, 1.0462443166207285, 0.5843363992471321, 1.0541129114968888, 1.0993764802321375, 1.2143948238145332, 1.5148368352694763, 0.942652372752694, 0.5787558458384526, 1.2325291759015888, 1.3264487541054262, 0.6326186835394019, 0.5897750702560342, 0.7314533170569156, 0.8446122669552485, 1.8270307815450173, 1.0398585562011635, 0.610755630191535, 0.9425830116837903, 1.4226467515105, 1.2516890240888876, 0.33034613785688394, 1.4651493574624284, 0.6081555859182347, 1.1270680089196863, 1.315249918235279, 1.6058367071803281, 0.7029791923746717, 0.38857868881368696, 1.1160034353858839, 1.4004128906707844, 1.5712921600379728, 0.8752406378888554, 1.188505720605455, 0.4303340310108854, 0.21728648741238643, 0.8817629111985877, 1.139531203460761, 0.9184041511165126, 1.4014352934975634, 0.7330081432614864, 1.2737127260186654, 0.2769248736925689, 0.7250877908609085, 0.9111635757832783, 0.8393923720229312, 0.6584252687750377, 1.6431951248944676, 0.7662584046359747, 1.8772316437801813, 1.1209482661711592, 0.8234249054795202, 0.7435188334679563, 0.6441770863077791, 1.2130073748487726, 1.132757815267591, 0.9891459669849831, 1.2796902137432897, 1.0433106023196053, 1.2083350836145932, 1.4577735287758844, 0.10870084993454365, 0.3714914436793799, 1.2762762508523062, 1.886308829288726, 0.25442243879416826, 1.2122222252021038, 0.7911095458140305, 0.5833832466902026, 0.866229051719685, 0.9548341905137993, 0.5763870260772456, 1.7892140643125063, 0.9882062321835752, 0.999738202377476, 1.0630336725523826, 0.9104320654832793, 1.222171462138239, 1.271404453330089, 0.59875031731397, 1.5501412014882552, 0.7715301547331854, 1.0230343542062432, 0.3364571457933271, 0.6975429509274435, 0.2116676162314256, 1.649236249380242, 0.9565922276856142, 0.5712901325864872, 0.8014000105123134, 1.282456370070705, 1.8982773588184279, 1.4806953621666776, 0.499730068749474, 0.7419352348009564, 1.196985627280187, 1.2139187501905686, 0.3894358195083817, 0.5352155704586364, 1.6709885819912385, 0.9030453057962544, 1.1499592945779273, 1.2304480528349995, 0.9985857906239545, 1.7036196356145124, 0.9841914905582192, 1.1284162385516652, 0.6970760869469232, 0.5582618341286276, 1.300004540871715, 0.19443068812328246, 0.11239235241054923, 0.7938760646376894, 1.3903893264546419, 0.6472023155455591, 0.7368216856754446, 1.3245340178231246, 1.8746026701237235, 1.2255468597918535, 1.234928225384679, 1.356878761335802, 0.6110265313871087, 1.7707930236147866, 1.1338824825516431, 1.2754594277413376, 1.3719942239190785, 0.5501999896523448, 0.8227682930777244, 0.7231003176202303, 1.6741800464031342, 1.1303492335420093, 0.6295998227657499, 1.714634844501182, 0.459570527572829, 1.1873956275174096, 1.2211120058824774, 0.9827460578646903, 1.113551863436507, 1.706764844351975, 1.4360646969332649, 1.5936138741117118, 0.3812896336733146, 0.7652252268045093, 1.0728329630639561, 0.4608853812431456, 1.0740916145357544, 1.4652261919553529, 1.3423645845366217, 0.1856976076217287, 0.13405626477744226, 1.0250244159072803, 0.9101871053339594, 0.5015247711740584, 0.8899882457072215, 0.9347366187673942, 0.37585540349037705, 1.5794453550327785, 0.5883353745885624, 1.2330555393166804, 0.2308720280585711, 0.3822137167070391, 1.1074661451285244, 1.4839196328259177, 0.31603367589053444, 0.6623140965386418, 0.3157712837822596, 0.5680140351428873, 1.119544620357048, 1.044720706887499, 1.4337998822530826, 1.1527079166852094, 1.6466550908528865, 1.4815262944919971, 1.0724934315051553, 1.0241707369215973, 1.4699595416203146, 1.2072180507932546, 1.3439297080879873, 0.9595794264816172, 0.7108602768882996, 1.165668852100192, 0.5330604281293616, 1.6650210279941247, 1.6417248947059178, 1.0102035183927036, 1.4553974130518794, 1.6295362919598815, 0.8179361778913993, 0.9655208426305717, 0.34865403753953694, 0.6776868444200531, 1.4807512382554298, 0.5718682832829595, 0.3292205175815047, 0.9810773759279426, 0.7344735640673838, 1.478063945105883, 0.7374437127911232, 1.5566778677905537, 0.9545110405960298, 1.5093521293062846, 0.20748331566155764, 1.8640671117410286, 1.8792824946733013, 1.1496872801435736, 1.1575013375017464, 0.42500129655914265, 0.9727943585166409, 1.6927305807195887, 1.5935959741335717, 0.100168354698839, 1.1005301522743307, 0.4993229229601178, 1.2699488759484705, 0.5810138044362535, 1.6269751695475358, 1.6523196277212415, 0.782920775763977, 0.9546245204715893, 1.251429361621598, 1.2165445704636428, 1.5956209364017382, 1.8390022522219924, 0.5053837353317144, 1.4046341941639626, 1.024389735976516, 1.0004523681064563, 1.08687446026524, 1.1992209295048328, 0.3815161563501682, 1.0151094498447004, 1.4047945408581544, 0.3798222891231885, 1.4219360154976473, 0.9903349082586612, 0.7413865794539277, 0.8197733495507304, 0.7051698603387082, 1.2383738066546925, 0.9378584231591517, 1.0390454794778115, 1.3131160374992537, 0.9538071517039765, 1.0832219087572645, 0.5637969045537484, 1.2503402062612718, 1.7843874747598198, 0.7101305254835756, 1.3282224741214743, 0.9695524887642912, 1.7629509067760534, 1.557171800075095, 0.15689614436195798, 1.218429772252093, 0.9507615542989645, 1.40830284208673, 1.2733872494943588, 1.2434260474489296, 0.2832584567427331, 1.8081806958361741, 1.532129309820602, 1.2541334507732325, 0.6292457136756934, 1.0871801746402991, 1.3039073468755693, 1.056113660204836, 0.43219944725066217, 1.5955736101125653, 0.4842212370438437, 0.37666430117419436, 0.6940358227775277, 0.8226405204894819, 1.8354078811247492, 0.8800180035031923, 0.829848125585133, 0.47582208712466745, 0.4296533971329357, 0.7465567255557463, 0.9641678529430032, 0.2569232234141804, 1.5470476140867835, 1.2090138371980115, 1.5372812005970051, 1.2275327941317657, 1.7253820043556374, 0.09152583588322172, 1.248197109899169, 0.9700623034075125, 1.2629070277279986, 0.5865748406402322, 0.9137603812535852, 0.6439306655508066, 0.7050739603834826, 0.7102666244683375, 1.498481414567778, 0.4458027898077964, 1.1085626873745331, 0.9827053203356886, 0.7781636951070346, 1.2080241969696168, 1.6760982626988499, 0.7137634882901192, 0.5438388308317752, 1.465761880108612, 0.27842511674604664, 0.9188180733435086, 0.5028493072350018, 1.330106599852388, 1.6582936106584942, 0.9437240456215783, 1.1547230499815546, 0.4635103146805375, 0.5987045578752114, 1.0484684233320225, 1.404580264444465, 0.6913241305288642, 0.5101913391149506, 0.6296571602384351, 0.739225679082191, 1.23605897263747, 0.687165760138629, 1.5562917748481953, 1.4003992492550448, 0.317014282266186, 0.6739446341743145, 0.7223611718296767, 1.4674802829368794, 0.9287545383859073, 1.5614210838911884, 1.5263560064185442, 0.7308074224574626, 0.2362024131054673, 0.3961258002361395, 1.0863803394176181, 0.8256196931308541, 0.8734137821641208, 1.8446337171415812, 0.8017535585457887, 1.2932090215477197, 0.8620245210918848, 0.897409061127178, 0.9718647776586231, 0.8996934200904828, 1.3584158366815493, 1.4009702840528608, 1.0511150602714614, 1.2191428522086487, 0.778578977061542, 0.9229758426323185, 0.1700551750261503, 1.0489241963039198, 1.4301339405973281, 0.6150389028859811, 0.7478804743797216, 1.2880794542549374, 0.8909979559091753, 1.207573792012036, 0.8704610602321745, 0.3708679865931769, 0.6536050371876911, 1.2293911836243536, 0.5753889803951813, 1.3220376118094865, 0.7994415898473771, 1.5784258308167647, 0.9378394683850617, 0.678617564976008, 0.6805932672788584, 1.4068462040373402, 1.1953323200967614, 1.0163200796533027, 0.445121046970158, 0.8056467999866846, 0.9643727058875687, 1.1409689565065553, 1.6268064077779392, 1.5338317731791147, 1.420697313785836, 1.3365174189363975, 1.214803947003964, 0.7046771094827197, 0.9429710961592099, 0.09080000430426849, 0.45047409348720724, 0.6988349931257106, 0.7076507596942877, 0.9590392417514212, 0.23748896889282756, 1.1617101424271818, 0.9585752563592261, 0.5678272240597031, 0.5434765320568463, 1.3136995162801424, 0.7404375200324133, 1.056726798248106, 1.1018484925719976, 0.7342308879582488, 0.5933616536571208, 1.1587158067675967, 0.9841142749455805, 1.3617136662314997, 1.0413271060146116, 0.7078666256552636, 1.0681086061493756, 0.21761047588141025, 1.1796996034088174, 1.3746212124956143, 1.7371027456591208, 1.2348703422607907, 1.237931505674243, 0.717788789491268, 0.515958365133519, 1.7428294240852655, 1.1251516222637592, 1.056822100569557, 0.7723423564028372, 1.460566128814656, 0.25739210504895516, 0.7421688898302198, 0.6814731030539252, 1.03914223796194, 1.0589059084753634, 1.8125079612862551, 1.0855139624563894, 0.7752303586658862, 0.9544251867186279, 1.3236314425743279, 1.1816373347588949, 0.13105095623841134, 1.543475900725194, 0.8186218498311111, 0.5716749879505814, 1.7262745816182288, 1.0959627379355044, 1.0523812307226406, 1.2027344751983187, 1.3615223417284634, 0.65612552385353, 0.48349591256724656, 0.9823968551290996, 0.9263556844885104, 0.311032931686396, 0.8159405014178897, 0.8848525841942799, 0.3198969523411467, 1.6690787151030135, 1.0656329193804064, 1.1163739615094683, 1.0046496266978662, 0.21277251674639142, 1.4411290693227863, 0.40301264550806026, 0.5815478301025521, 1.270713161575089, 1.2396143218396527, 1.2365677367479495, 1.0313146033725298, 0.8936365199789449, 1.7283730664584485, 1.1118475111378885, 1.0275671448012806, 1.0546178512998239, 0.6680624393990944, 0.7784692716965832, 0.7780843816173829, 0.4203852626228247, 1.531522068958746, 0.9773409912559767, 1.1945268565205354, 0.7156554131261272, 0.9867993857406583, 1.3916118096324797, 0.9632183926484171, 1.144579776704433, 0.9536565858080449, 0.7909841707189612, 0.7505803215239939, 1.056079144227722, 0.04737208243647362, 0.8353707054971712, 1.8438620801501342, 0.8133307405811262, 0.39215201892436835, 1.3228377369338506, 1.3420901605785147, 0.9854667448263791, 1.769928810966607, 1.1838180513068375, 0.1391126335234677, 1.1765244616194903, 0.9490223508525519, 0.7042448934154875, 1.1819544141093252, 0.536212408333402, 0.8577379962088234, 1.2870993640456787, 1.0738228187709948, 1.0097605625316073, 1.6291928844610473, 0.6489239663949743, 0.7975924728281539, 0.6447288828878789, 1.0037088176871314, 1.020558107718245, 0.5889342869544403, 0.9146149729706985, 0.4095857781969763, 1.6102817453368266, 1.2980253185452366, 0.5412136941779974, 0.5301843780238821, 0.6769408899608034, 1.5008759119988508, 1.213208717350213, 0.11728642841707992, 1.2481722732069278, 1.1387999760798824, 0.627465739098998, 0.7033507663544969, 1.0747627557930144, 0.739476261721613, 0.6302282583027471, 0.25187087231843985, 0.10260062075602938, 0.4432364012741288, 0.9049858290086391, 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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
********************************************************