1.9. 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_01/
* - 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
[1.768494493198583, 1.4586562536056813, 0.8441866404028181, 1.1063441132937109, 1.1084718629145844, 0.36955190772124735, 1.3811422763120502, 1.1286614323406154, 1.0576102402034677, 0.9782033218632993, 1.408191857769348, 0.6878254104159688, 0.323112039940443, 1.5801901552786781, 1.2231248827059296, 0.5857981618762707, 1.0258930359824174, 1.0840330717552462, 0.6093654435241589, 1.5234961280184112, 0.7634916148073189, 1.2911846095807626, 1.8687434856043383, 1.6012726320749655, 0.8747566516215126, 1.2196619362318097, 1.878545507107222, 1.913525006295211, 0.48610333625670155, 1.0927450762471345, 1.2362929217842575, 0.4093005628468286, 0.4743460568465909, 0.9806087966180191, 0.8642825028671067, 1.4041312783626183, 0.8541342586718479, 1.7525260317695208, 0.8982230917162601, 0.5265680075012115, 1.1358962368942915, 1.1139560539897726, 0.7911933525841417, 1.174682557524768, 0.6091128408012625, 1.280194521748916, 0.6565847703634651, 1.4729487319426782, 0.9965572873249281, 0.6419527716084441, 0.19654489469950565, 1.0700826765023335, 1.1119201353555914, 1.0588381624814782, 1.4844048130921885, 0.5844203973407232, 1.4597098684888143, 0.8335863590139848, 1.3184848712467079, 0.4487638195525635, 0.97893438004842, 1.10756741318523, 0.48119172567265445, 0.5653797923114816, 1.2927301706463423, 1.4062799909285872, 0.44369855653967627, 0.9866881621823611, 1.5249073821201597, 0.918086321105754, 1.1800939728721471, 0.5738682324020625, 0.9671415166985388, 0.8555830866024451, 0.7137929010586325, 0.6805326316444796, 1.677594473648915, 1.6834949385394187, 1.2194489886735747, 1.3101260460164308, 1.4400731131549787, 1.0303974584615334, 1.1444417510810594, 1.4314410896090504, 0.9560224725888148, 1.503725992200886, 0.2614883568961929, 0.5545905131871809, 0.45534555015876776, 1.04491335283876, 0.488249581091047, 1.404369554485935, 1.24661015269761, 0.7264359706270782, 0.8908760963818223, 1.1986969799026066, 1.3950171776599145, 0.9160319070919636, 1.5322010638408385, 1.1196529913114428, 0.8315852973652229, 0.9503388943216038, 1.8964992587393281, 0.7850167454422428, 1.3259242695031788, 0.40220037075610315, 1.3924546998563425, 0.6886235131357672, 0.5899244355602115, 1.2446777331626109, 0.5244248023685747, 1.0314343366020662, 0.6909862142001905, 0.7924380445198032, 1.0236215014543548, 0.8959701916924075, 0.8171457342668484, 0.875637284001392, 0.7479194317073946, 0.7047263223765342, 0.5460108646241774, 0.755436872859533, 0.7265736608215391, 0.5499028157023066, 1.1195939746911108, 1.1893117410581504, 0.6313013705721447, 0.9605994129959913, 1.3212292403252084, 0.866889925273197, 1.2315186809546628, 0.9930412886968937, 1.668119289959577, 0.5799391205717043, 0.7842340860310806, 1.795799208934422, 0.24186913849413016, 0.4761457240575484, 1.565821106978258, 0.9295625639637609, 0.6146090430721882, 0.49337717963674554, 0.9073658646675467, 1.344174665421093, 0.3691047179676791, 0.7337944219309906, 0.6214934293608398, 0.8782525184164499, 1.0355242609449402, 1.3217032114226908, 1.29985090281781, 0.7291267185123564, 0.5636633241360172, 1.0920459501119324, 1.2415799254919249, 0.7848951395770315, 1.0330664886446217, 1.0947179429099334, 1.1926204699023213, 0.4128910279172324, 0.5191174564117699, 1.1913230062525377, 0.8936184036519684, 1.4881650909519462, 1.425523721685146, 0.8699251369462485, 1.4542967442863441, 1.135566822918407, 1.248198073674873, 0.25793843810959793, 0.7607965606599789, 1.4384544300218591, 1.6351813542882319, 0.8874977531636492, 1.186612289537385, 1.2897607229101595, 1.2018612149786556, 0.16797665928720273, 1.0411393610389235, 1.6390243428960134, 1.0648095901159982, 1.4090456265001037, 1.2038335732118566, 0.4331858839322419, 1.6620659148580472, 1.2548051400460987, 1.398492233129768, 0.8488682197737033, 1.2477528741016028, 1.9093024376029981, 1.483248827670741, 1.0506909698281683, 1.1109332012577924, 1.1411238784565079, 0.8765915715539236, 1.2488255410733162, 1.6118274795667946, 0.8451633878217952, 1.026907742387124, 1.1834276724987156, 1.5154526179028964, 1.4683746927199677, 1.0312823451929913, 1.0876673680419597, 1.0058122506777833, 0.36100742553485976, 1.039819015664698, 1.0333573775393465, 0.969768248540223, 0.7685417140385872, 1.4930685365914447, 0.7067083462205153, 1.0675506269359178, 1.9348964428609439, 0.712304591341247, 1.0750394233635931, 1.834113193511942, 1.7821029869158322, 1.1757917294393785, 1.9418144836319073, 1.5407664976241904, 0.8195608789445906, 1.131059371091499, 1.202621102619241, 0.908865774869891, 1.1430024555594442, 0.9696385034486777, 0.8713543394232806, 0.34994998984840864, 1.039978218764225, 0.9572277610314784, 0.6100815379139216, 1.042142078249348, 0.9809074382963212, 0.835806983505511, 1.1006578149481498, 0.5536715431770683, 1.454711880339551, 0.5668701408442717, 1.2893069065507126, 0.9088954159240594, 0.940774710882133, 0.40190883206567096, 1.2610974246360924, 1.4342705036696597, 1.478812301081842, 1.292199368424147, 1.3295762714780053, 1.3858446030185956, 0.9692474112985321, 1.4014919321377857, 1.4566697058180949, 1.0474005952462653, 0.8845488233613712, 0.24189096918721786, 0.46222770435497096, 1.5631266941440778, 0.9659679998093386, 0.6971531952034133, 0.9258147099378691, 0.7601624870286469, 0.39530046722894463, 0.6190113614003636, 0.6395501284550484, 1.2592567640608183, 0.7227962618651551, 1.45004583618653, 0.6088460127065299, 0.972420323121303, 1.272378355827812, 0.9424736215222161, 1.4100238468941468, 1.4494312526912294, 0.5799454679116338, 1.4359807801948816, 0.6974077201270353, 1.0287928747847555, 0.9845455301775531, 1.1158213698147779, 1.2694789006030651, 1.0708765163945357, 0.8854840836908394, 1.4527699784405788, 1.1215706273348012, 1.2495209928438362, 0.34367247430281145, 1.354194725082281, 0.8970197886823629, 1.4175066989192002, 0.34129478167813676, 1.611479953058864, 0.9146322131349749, 1.420050163491061, 0.6989547772855847, 0.16133378948322985, 1.747701708024148, 1.3368371162466566, 1.1365206439795414, 1.4784110019648176, 0.572182723666451, 1.181681750878285, 0.5489474234722523, 0.9040062439236236, 1.2511193298207468, 0.8690258443051432, 1.610135285987098, 1.551774949291286, 1.000735433275163, 1.3269374147852249, 1.6078062348443614, 0.9866550145018862, 1.08627918078205, 0.8276315410754872, 1.0438365141498018, 1.1200870493620707, 0.5712311957238856, 1.0838355433763298, 0.9934941497948127, 0.3968125514347408, 0.9472719189141305, 0.5059794634770473, 1.4922335390132846, 0.7542762055011092, 1.0795449697150172, 1.176050356689129, 0.6650858173909182, 1.435390261804801, 1.2787046701771678, 0.44297762103300686, 1.0092730652736677, 0.9445837755995842, 0.7635215302814147, 1.2136142428346819, 1.242358058729108, 0.9439804686723962, 1.0123389077541896, 1.4107321369144603, 1.3645599095547951, 1.7494553836624855, 1.4472340109125115, 0.44875774315088324, 1.3136831557483823, 0.7036173875604419, 0.383320573990366, 1.360840846451214, 0.9719995008525365, 1.1938820608079779, 0.3175613203104144, 0.8265170517141646, 0.6890749859804391, 0.4303258516944005, 0.7284183028378056, 1.0967476561452782, 1.8422910281436518, 1.3941965513547003, 0.9819931109845836, 0.9218375859036672, 1.556932544989066, 1.2528041725239583, 0.8192279764844977, 1.4165423547798486, 1.0585773034826427, 0.8437320625688423, 1.2875648465276022, 1.4017581924703157, 1.0248964132230887, 0.6458625002104273, 1.8305098398398776, 1.0098496096097338, 0.5353791244271978, 0.8752106033158263, 0.7299823977756268, 0.996078353204495, 1.156970165163533, 0.6527142895323373, 1.7855857398741346, 0.2959949648575364, 0.686157332476223, 1.1298798901505807, 0.7252292318588848, 1.199844343093066, 0.7265254897405955, 1.3879489519253205, 1.3129527561014829, 0.18535984000340822, 0.7957600984278232, 1.549504403878913, 1.5653166966925567, 1.0727501055296327, 1.2157562772672916, 0.8132286288010384, 0.31297616278122176, 1.6723550400176799, 0.6380788928490759, 1.2840139210571542, 1.3711784131344191, 0.7865316569429049, 1.0821911113356482, 1.0178210921263278, 0.6296233590285634, 1.2877199586355659, 0.9939187849484572, 0.8970430810609669, 0.7936728689498298, 0.7859922700512979, 0.8998285912552847, 1.3203049742073616, 0.822036705232024, 1.4022196619861194, 0.28360253099399824, 0.7823982715359704, 0.7698763487499012, 1.0446078779006234, 0.9565606094496266, 1.646443074465688, 0.5671249275864304, 1.120596241944057, 0.4681651273690933, 1.2108477683230818, 1.1339394553840962, 1.0441262864898384, 0.797713559443618, 0.660142359656358, 1.472243939368796, 0.4060613038610543, 0.7939588002961834, 1.7060413495090252, 0.8209428277676825, 1.627872191923926, 0.16649126390600721, 0.8675235190702518, 1.141010671344945, 0.9340206542540544, 0.6496268984621149, 0.5903008750826126, 1.3821140965803806, 0.884445543386215, 1.4466634056481804, 0.1578885460539302, 1.3366192751401718, 0.8735636358037295, 1.4966970448814587, 0.5351676633259758, 0.3212837897060473, 1.1723207976157026, 0.5860076358984346, 0.9308134896152942, 0.9951220810667493, 0.44076275632126005, 0.6954103653990655, 1.4831918321861002, 1.1592326362253114, 0.7038640393769118, 0.8195478524086252, 0.28485133900725224, 0.8374999909817752, 0.1768815278532888, 0.8738903166737051, 0.5919980347306723, 0.8295879877015947, 0.9383758957229613, 1.2782518830403504, 0.9897342109792259, 0.7728286360257718, 0.9286510849044157, 1.0382095798663724, 1.2990508942194907, 0.9892425003413093, 1.1036629324898046, 1.2405231681852948, 1.2676577381032188, 1.6982694650333197, 1.2513196246283922, 0.6501643619669323, 0.8865915450279394, 0.7104595104005436, 0.2286338220002868, 0.5470262318861608, 0.716412560913958, 1.215426165749165, 0.7176699469366594, 1.3525195031026525, 1.5296464407001702, 1.3199954739391595, 1.2428963618942737, 1.2238861114895347, 1.0259216667059678, 0.41830531277650507, 0.9644581314998436, 0.9944740293834983, 1.3523562265875186, 1.0466571469195942, 1.5629906986994304, 1.3918412145772197, 0.776883846565769, 1.456343701814947, 0.8563866330597505, 1.6796475005212455, 0.829222352763344, 0.5731002173769754, 1.1332259079461522, 1.435019296826314, 0.9232288902777912, 0.838843936896777, 0.8900624064810624, 1.3179985443693134, 1.0602726839252794, 0.46828453761046995, 0.5261138717251594, 1.2725593115045721, 1.1225355332307858, 0.42223955897098564, 0.8940600392592631, 1.0168629744029234, 1.1645937440382923, 0.4721470230113417, 0.6302835886257002, 1.007874474913054, 1.008499747141938, 0.5705654796156403, 0.3685052007189048, 1.327277991387205, 1.862492096524665, 1.6032963425741418, 1.4061526017881771, 0.7532191173895123, 1.1080918442070704, 0.45408536297034896, 0.6059666543930446, 1.0779700972005082, 0.5817994717424685, 1.8807534706139606, 0.8010877310376636, 1.0174998220074079, 1.6920104007515429, 0.921019394260788, 1.5016819852281462, 1.6119561914020135, 1.2524909603360983, 1.4057099477826926, 0.7947549901478483, 1.2040823491423427, 0.30951741834940405, 0.8210830519198113, 0.9836649594375706, 0.904349484476273, 0.18758720410942853, 1.7260032800444773, 0.41309935611258153, 1.3746027881191056, 1.2318710259581014, 0.7980364522563083, 0.8216364792694228, 1.5169180135844953, 1.366222128809646, 0.8325146182494279, 0.7420911641496685, 1.426513183534817, 1.924157282562841, 0.7975461649302497, 0.3449693949340905, 1.0052661729883554, 1.031418903117765, 1.0487663101633211, 0.6525707382750344, 0.9336683926493612, 1.3390023110733118, 1.3669061813197563, 0.9114024773803097, 1.7843121142525975, 0.5686278280452893, 1.304444526083994, 1.2842813144419816, 1.0758675039756724, 0.46870986228658174, 0.9717367626076451, 1.24167358952479, 0.16302767830205245, 1.5024598338708204, 0.39111723357952655, 0.8628173896008107, 0.8934461810886372, 0.9863400235339546, 0.9869293308556617, 0.8386599438949605, 0.6296878177236168, 0.6870496884738766, 1.045781901831355, 0.9764567945722977, 1.470379926126817, 0.9638639546595481, 0.8880335283906554, 1.0096910464511528, 1.3484545072575584, 1.4661559041329952, 1.105073322256939, 0.7900484197634258, 1.0129986432872549, 1.3111888894528534, 0.6782148371430667, 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Stop the runtime

ipycompss.stop(sync=True)

****************************************************
*************** STOPPING PyCOMPSs ******************
****************************************************
Synchronizing all future objects left on the user scope.
****************************************************