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/InteractiveMode_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
[1.0955179137186706, 0.9260690070917964, 0.9476182627133448, 0.6543935200186373, 0.42966166451707766, 1.1604032183397845, 0.35515959550674525, 1.6081373625829278, 1.7845555099647024, 1.344614290273543, 1.1454228084762954, 1.2269119087601799, 1.0020881953454446, 0.8173999246139438, 1.262979779036024, 0.652254125963293, 1.0477951909232583, 1.2182883579903472, 0.4572769151516828, 1.413471910327015, 0.5547408479258431, 0.5244690075759969, 0.8746506337245153, 0.5353603275644085, 1.8410800096564053, 1.3046814367175903, 1.8364464134722946, 1.2911118221916946, 1.4216485923202966, 0.30720413059763296, 0.4150775116194797, 0.32943841980513655, 1.0047644474431685, 0.6571044361336361, 0.05981116143024012, 1.137453630857951, 1.12213404137461, 0.8619574267888162, 1.164644677607217, 1.2204299538079932, 0.6491170098790701, 1.3121992458513403, 0.7617882935028555, 0.5962145266347559, 0.4792444089902762, 0.22131164184036367, 0.6371681051075261, 0.9388489882179275, 0.7698885157724682, 0.318412250810997, 1.9105962969663943, 1.0561858919175264, 0.7588193134274073, 1.2918107889397739, 1.168856872250232, 0.7724551895494061, 1.1457551415025962, 0.8956872446413158, 1.2939751180813857, 0.8522729248031881, 0.615743140573553, 1.0936816696793252, 1.7236346865821248, 0.3846034775010799, 0.7917709107552977, 0.8764066780558061, 1.293419728124295, 1.012347230662273, 1.263748066564336, 1.246462351927804, 0.5978008776189637, 1.262212205549686, 0.49445632417588836, 0.4604757693139848, 0.9154678095060097, 0.9544127015666181, 0.8845122498603005, 0.8595651430147792, 1.4807368654625916, 0.9856278242572684, 1.5811177502462852, 0.1540933691074664, 1.3734202169902219, 1.2467203520932042, 1.1022314670186255, 0.9268709490664432, 1.2139308014124395, 0.7857946241159405, 1.1641615347126908, 1.1622089772090891, 1.2002215881687288, 0.7928434234297802, 0.9387321546185678, 1.0095253039723215, 1.1419052219484112, 0.8792845094501701, 1.3895129189148272, 1.4519410279712472, 0.4241576937673439, 0.5501285657419378, 1.4509054689645051, 1.2411478764854036, 1.1036003884430332, 0.6939257342968295, 0.4755168406984006, 1.2370673111680657, 1.1813242270595432, 0.7139518139103814, 0.9593592484051119, 0.9745117170568541, 0.43075160460507955, 0.8962186605822993, 0.5579061250377166, 1.7293051688713437, 1.1923997141339617, 0.7021995047749929, 0.43917939175048015, 1.3645392660799378, 1.049119388450042, 0.9043470625622261, 1.0670576109829237, 1.2592892214618987, 1.0864620818354922, 1.3395710061924053, 0.9418024500267049, 0.9315140594718208, 1.500746413054685, 0.40253964792515873, 1.1333112968077592, 0.8171862895535525, 1.432072118715992, 1.2456724992354145, 0.660471425446854, 0.48223552255955515, 1.2415638984091033, 0.9347554702473512, 0.9423652235351965, 1.3285530363347406, 1.3038236876156017, 0.788110210833825, 0.3937912607273333, 0.944484274658992, 0.49335669328430876, 1.1752648854127292, 1.2940778131702302, 1.0972331565334408, 0.8089524327394728, 1.400519696103161, 1.2733702009163586, 0.7302950464425321, 0.7356098009669692, 1.5794404569358287, 1.341297083135246, 0.9970797388192013, 0.40431923718000984, 1.2457942552465258, 1.170356270610321, 1.303470609061176, 0.5856726219588461, 0.7923402323528522, 1.2374982307713835, 0.3441445700011099, 1.9424565597377237, 0.48441921466948457, 1.5863328026055927, 0.6914399506137079, 1.5515405391543833, 1.6948813542465282, 0.6624530109890737, 0.9782023373191261, 1.4369616547909438, 0.7796077306857221, 1.0496715102748126, 1.0089992231737939, 1.2885520674988589, 1.135516869483795, 1.061434766666384, 1.2724641772847338, 1.3449557556505933, 0.8060731676306577, 1.4020607333233746, 0.8857731697045351, 1.1094919797991856, 0.629872221243056, 1.3236887859426416, 1.0061058764654034, 0.7307834931684618, 1.1870171367992874, 0.5824584526396684, 0.5022255451823547, 0.7169800675559184, 0.326351417644414, 0.19909554011749042, 1.0139852780390277, 0.8703888990463072, 1.5088809343691234, 1.2647913047146562, 0.5546659754820862, 0.31160197651621235, 1.082238244000429, 1.4315207400134287, 1.0269665999350663, 0.46215864617187363, 1.3986135136427422, 0.26692418160546294, 1.3229061580415542, 1.153569211942165, 0.5828900384685023, 0.44177910812973065, 0.5690499851143319, 1.0272281316066518, 1.890072419517408, 1.2563733871962812, 1.0785870668065205, 1.1219967625750917, 0.8869399733639016, 0.5845226431841908, 0.8182426324820761, 1.6287826037723776, 0.4472210396874554, 1.073910606760279, 1.0071434283817973, 1.609092908067153, 1.209608581743351, 1.4906412483767277, 0.9081272843318317, 1.9258986957226036, 1.0917973416047024, 0.2679154430857934, 0.47383434359921817, 0.8536442091022041, 0.9760643844976931, 0.8013405375933831, 0.9369561288433745, 0.9835208823128063, 0.5424706005186256, 0.8902729564849824, 1.9681479961145811, 1.4598451609833298, 1.0717128734833086, 1.0284834034103727, 1.364186916392668, 0.956761486799766, 1.8287137727024767, 1.4673596077989166, 0.7774716135609567, 1.1545289746387035, 1.3046070631630444, 1.16608637075847, 1.2027192251367782, 0.8876335888325335, 0.9909060624752705, 1.1105648061333337, 1.3146984309739718, 1.847785203248282, 0.6858442208578073, 0.5653930885943746, 1.1035688188461343, 0.9627143658337551, 0.2526319272358478, 1.1704113801977907, 0.6572969652155838, 0.9668826103785224, 0.9918799794900396, 0.7218788482734758, 0.9671445238836537, 0.5917750687407383, 1.359219902549854, 1.354910022590062, 1.72338540112414, 1.736288430817586, 0.6312254164196196, 1.3523245668313646, 1.5076843884842712, 1.601496280359362, 1.415828000334931, 0.7047706748384068, 0.6178404345234461, 0.8436533951368788, 0.9707922157211112, 0.9699443365033701, 1.274253327356912, 0.553506616309395, 0.11763494581569167, 0.3053992647986552, 1.321838726430265, 1.381698693295164, 0.7049779951076742, 1.137840183752645, 1.1313938411927693, 1.0198350784436585, 0.9783582374332115, 0.8801105472549897, 1.4379427712401194, 0.9059920590672744, 0.858649252183929, 1.1523246531628433, 0.7098294265519237, 1.0672376625141449, 1.1770512211895545, 0.8799760356499995, 0.46089555750079336, 0.9934469582557113, 0.8500625715618819, 1.3295450789519356, 0.7859001903504143, 1.1970935656017854, 0.5979449279370223, 1.1945695088678472, 0.7583531990883183, 1.2131767811132803, 0.5896090495177089, 0.864313804605257, 1.1382492279796623, 0.7669099495757, 1.6552937788731676, 0.8085569627914098, 1.188285213258035, 0.9382370602579052, 0.9226087104217674, 1.0569155558566101, 0.7484235285538067, 1.4192162872402192, 1.7449800271758655, 1.2113039881652359, 0.24026189866794712, 0.7055489651269375, 0.9156839193731221, 1.12118691878019, 0.9945385217959105, 1.1171069544702887, 1.133374694850286, 0.5105649045089153, 0.12743803382874852, 0.982316261118582, 1.4402976113818016, 0.6041638022856454, 0.43068530677106254, 1.550778290002193, 0.25749676481982997, 1.0318094861780045, 0.5847834537939454, 1.074069671098033, 1.0512273364983253, 0.8644906006597824, 1.3041059758897573, 0.9437205609831225, 1.028888113797995, 1.141454202782207, 1.3130687214068941, 0.9368099627560078, 1.325854083765802, 0.9077357318423569, 0.1744642894826548, 1.8319250536895813, 0.974680289710084, 0.706197005103842, 0.32075215556353076, 0.5258886325388441, 1.8499240957831302, 1.6926439409113967, 0.754578237661862, 0.8637486647291279, 1.5977666218578732, 0.49098752276779634, 0.975973729452008, 0.9235489262662105, 1.451910024984912, 0.7468449333343679, 0.599992526349412, 1.4009632632864464, 1.792233844278652, 0.9774161351618111, 0.3268017694355956, 0.8423163104286316, 1.3862139246048355, 1.3012221936266908, 0.5811595209591839, 0.42437953595305944, 0.9400752422470986, 1.143630041317689, 0.8889760602403787, 0.6826955787612958, 1.6255697872810562, 1.5247158193801666, 0.6807933256068619, 0.9520643245421522, 1.5651529065113916, 0.8534185058782788, 0.7586958624125009, 0.8201876405921908, 1.27805618387268, 1.3645710596287857, 0.28806421913728764, 1.2533370699230013, 1.5709861749445289, 0.7824562316479523, 1.7098282894133623, 0.5862870405692877, 1.2489106251844442, 1.0978474123273778, 1.2859131961503407, 0.9256875691083464, 1.3816970923446488, 1.3021719896989046, 0.5148421830619154, 1.2299950820347108, 1.1964879490761575, 1.155090418787708, 0.9586409249932133, 1.4377395406804487, 1.6359863337835363, 1.361125023109285, 1.0943151443464543, 0.8277247881587405, 0.6323065866623832, 1.0058960868523836, 0.9205971596476341, 0.17373222988221193, 1.3081516099581183, 1.1637612631374679, 1.423764343605433, 1.4285397882745918, 1.181133119422546, 1.397829211950003, 1.397713730490001, 0.9582771714027385, 0.5324062569810478, 1.2106942258860665, 0.6668688090690239, 1.1521986617430269, 1.262290094253038, 0.8671406334016482, 0.2965970497242042, 0.9522621580766303, 1.467654817561648, 1.114936266733883, 1.4345594013824443, 1.2480193726746744, 0.9631504687408717, 1.0644449523642086, 1.240847723660225, 1.2814908200804735, 1.521422086608682, 0.23421669435740533, 1.4426872794840597, 0.648791325879467, 1.2872705909382025, 0.3794161339859773, 1.0498237622255069, 1.501474637864066, 0.9988694209191784, 0.9360112704687812, 0.23309782453328864, 1.0505614947202018, 0.3589837004780051, 1.2927570164347992, 0.761846851400378, 1.8293328347810043, 1.2323719782395177, 1.2961408737594458, 1.2470410829393095, 1.3496361410312865, 1.8177092985565504, 1.341791184181779, 0.6346939663422306, 1.1684367787837797, 1.135770727661681, 1.2150770691057164, 0.8604609423313516, 0.7077366687581048, 0.8473642749214219, 1.4399359978036101, 1.353167116920155, 0.44536962894287346, 1.0777927543036716, 1.3498223728726457, 1.4615928373070826, 1.048524570943469, 0.6252850595160809, 1.045093546203942, 0.9207832459238522, 0.5590927271579061, 1.201675025420736, 1.0792348199029074, 0.4580852273894136, 1.6738025110136965, 1.5945752144477945, 0.47820047322385495, 1.2873036209909512, 0.7022472733313855, 0.16323608536749568, 0.9562347984226186, 1.5686877526198355, 0.8330305886866579, 0.4579689863512759, 1.131497132930689, 0.37762563450517184, 1.571669975292148, 1.862077312748578, 1.2744025051367034, 0.6631992375743082, 1.4048451060842204, 1.1971692503060305, 0.6681093185116744, 0.2933623629997295, 1.213398863011975, 1.13538866660805, 1.0982279407110394, 0.6632691868502156, 0.6831512784724664, 0.7108304332417603, 0.30224412867935435, 0.266013760583545, 1.029034432174853, 1.2390874789927708, 0.5840182245454106, 1.5812778598214425, 0.8788895873424349, 0.3284837769244837, 1.0064373005561407, 0.42323346144476337, 1.7423982204940298, 1.2032723875480895, 1.068400072295633, 1.4334213988418658, 1.498441195231992, 1.100816696330039, 0.8776175663481226, 0.8452552364445435, 0.9704262266312552, 1.2861674436610233, 1.9387509728638515, 0.8143065534476528, 1.0208707605900402, 0.8034111735798052, 0.3142800266351734, 0.6487374324330014, 0.7467413714817009, 0.8794372143279173, 0.6481426883400999, 1.6190292507874424, 1.1682195819139358, 1.3138627762850914, 0.8179861137819437, 1.208243885243863, 0.6512802113801353, 1.3111955856865187, 0.24351557431498827, 1.6921528637533805, 1.0685008789553987, 0.7253633838477408, 1.0226956767551603, 1.3005318337229086, 0.4079636586304958, 1.4311764895646402, 0.6186287305652488, 0.4875060719108608, 0.6841733968516257, 1.070582062961506, 1.019921344003176, 0.9185054915902281, 1.438384138969493, 1.2046705286898296, 0.8390626709794425, 0.9198515621003056, 0.8245445834833598, 0.45782332532231396, 1.0073580148645207, 1.6464159151455333, 1.149510000835158, 0.9089897493192359, 0.3165326197913214, 0.7455926618616305, 1.0757692966275558, 1.0237581410617134, 0.5141063184483047, 0.8001439147186385, 0.5868242238916268, 0.9745441499622084, 0.42921737233087176, 0.8352770974845007, 1.0652563677099383, 1.5674117577353852, 1.3224868631775388, 0.2197161756923557, 0.8156478037104762, 1.4047887284746199, 1.2894982214545898, 0.8188787541859903, 1.1356955519866498, 1.513294872180702, 0.5370345685413721, 0.9277441861159429, 1.1730250082566438, 1.2130539887527498, 0.6447207542866598, 1.0390273604721396, 1.5557589510829442, 1.2005520978632573, 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Stop the runtime

ipycompss.stop(sync=True)

****************************************************
*************** STOPPING PyCOMPSs ******************
****************************************************
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
****************************************************