############################################################################## # # Copyright (c) 2003-2018 by The University of Queensland # http://www.uq.edu.au # # Primary Business: Queensland, Australia # Licensed under the Apache License, version 2.0 # http://www.apache.org/licenses/LICENSE-2.0 # # Development until 2012 by Earth Systems Science Computational Center (ESSCC) # Development 2012-2013 by School of Earth Sciences # Development from 2014 by Centre for Geoscience Computing (GeoComp) # ############################################################################## from __future__ import print_function, division __copyright__="""Copyright (c) 2003-2018 by The University of Queensland http://www.uq.edu.au Primary Business: Queensland, Australia""" __license__="""Licensed under the Apache License, version 2.0 http://www.apache.org/licenses/LICENSE-2.0""" __url__="https://launchpad.net/escript-finley" """ basic tests for util.py :remark: use see `test_util` :var __author__: name of author :var __copyright__: copyrights :var __license__: licence agreement :var __url__: url entry point on documentation :var __version__: version :var __date__: date of the version """ __author__="Lutz Gross, l.gross@uq.edu.au" import esys.escriptcore.utestselect as unittest import numpy import os from esys.escript import * from esys import escript try: ESCRIPT_WORKDIR=os.environ['ESCRIPT_WORKDIR'] except KeyError: ESCRIPT_WORKDIR='.' class Test_util_values(unittest.TestCase): """ Please do not define tests in this class. The idea is to make it easier to isolate groups of tests, which will be harder if there are tests in the base class Sets of values could be generated as follows: def z2(levels, row): if levels==1: v=[] for j in range(row): v.append(random.triangular(-1., 1.0)) return tuple(v) else: v=[] for j in range(row): v.append(z2(levels-1,row)) return tuple(v) z2(2,2) z2(3,3) z2(4,4) However, some of the larger arrays are modified afterwards to ensure that they contain at least one 0 for NaN checking purposes """ RES_TOL=1.e-7 # RES_TOLerance to compare results DIFF_TOL=1.e-7 # RES_TOLerance to derivatices def test_diameter_2D(self): if self.domain.getDim() == 2: blocks = self.domain x=blocks.getX() mx=sup(x[0])-inf(x[0]) my=sup(x[1])-inf(x[1]) self.assertEqual(blocks.getDim(),2,"wrong dimension.") self.assertEqual(diameter(blocks),sqrt(mx**2+my**2),"wrong diameter calculous.") else: pass def test_diameter_3D(self): if self.domain.getDim() == 3: blocks = self.domain x=blocks.getX() mx=sup(x[0])-inf(x[0]) my=sup(x[1])-inf(x[1]) mz=sup(x[2])-inf(x[2]) self.assertEqual(blocks.getDim(),3,"wrong dimension.") self.assertEqual(diameter(blocks),sqrt(mx**2+my**2+mz**2),"wrong diameter calculous.") else: pass def makeTagged(self, fs, v1, v2): """ Helper routine which makes a DataTagged containing the two values (v1 as default and v2 as tag 1). """ d=Data(v1, fs) d.setTaggedValue(1, v2) return d def get_scalar_inputL(self, cplx): if not cplx: v1=33489.58300735649 else: v1=(9824.950442887115-46215.48181304759j) return (v1,v1) def get_python_inputL(self, rank, cplx, no_first_arg_negative=False, no_zeros=False): if cplx: if rank==0: return (-3960.4642291825876+70893.2937559552j,) if rank==1: return ((59731.62346830329-82535.93558513945j), (97413.28611726397-71163.21858234056j)) if rank==2: return (((22662.9306818+10450.1928396j), (-5876.588037489+31316.069231294925j)), ((-48775.88574400305+21535.3746218j), (36479.6003269178-39287.306108j))) if rank==3: return ((((-50847.97960-9062.27j), (-63529.6088+55171.4663j), (215.4-10185.37j)), ((40080.58380528418-34586.4289827135j), (-27276.009276950237-61855.16687539085j), (-34721.25780748475+82851.2788274762j)), ((43010.5425+18456.0305j), (-8655.17674+4404.157j), (23658.850518231033-20372.09007648639j))), (((43347.843141+58591.16j), (25836.3146-5995.971j), (-28969.5+31065.035j)), ((-31942.46+61141.334j), (-84655.794+49812.188j), (63001.6-44321.65j)), ((-19368.317+29114.8j), (-84938.09+83917.34j), (30356.3+48962.755j))), (((-50756.5-28925.102j), (3348.16+79354.6j), (30159.52+6881.75j)), ((59025.953-39.831j), (-237.942-53.93j), (9308.8+36247.003775959376j)), ((12068.153033533716-68009.47095735556j), (7693.602018284684-23713.22567007532j), (44993.89718529736-3807.1609666917066j)))) if rank==4: return (((((36743.82175242095+26778.737326529765j), (-29754.182129388544+25393.077634889414j), (-7835.209676340906+49819.26015705921j), (33964.789417447566-32778.45444590585j)), ((-44579.370809357875-68703.24361188836j), (-149.28320431357133-64698.83715098185j), (38295.13314270778+58425.02740389345j), (-59088.20438563965-81586.99049191552j)), ((22892.612062358283-24715.70868029048j), (13367.867311961876+20860.578306432217j), (-47859.40778589482+71392.8351064374j), (-2304.287041885458+49294.11306179231j)), ((-62640.841478880255+36871.688232087705j), (10655.923749286507-23128.560897714342j), (-4131.801825297647+4443.2840182007785j), (-27903.670838787744-3117.482981970883j))), (((57034.38962108706+38044.26403584313j), (-4462.844355084104+18211.587917962242j), (4313.178312608696-12868.233657189892j), (46374.72869675713-11812.40480331378j)), ((322.189068738895+47179.67709271595j), (72322.13544947651-3662.5467369358375j), (-9231.467186395414+76230.40517770775j), (-41704.75682501451+32558.11893996234j)), ((79487.23328596324-7366.42862253316j), (10481.924314965669-15120.283604848068j), (26960.83136881994-41071.566704782505j), (-24115.39190283895-7711.336401151741j)), ((22474.95612418659+15623.165463453799j), (25929.087385707462+38175.58304877044j), (-8177.232611463696+21287.640323926986j), (34229.957465479616+34000.54107560321j))), (((26772.169008338446-23226.644157592586j), (44355.462946645705+38435.617150983846j), (82270.23681598579+57228.460214922394j), (-61649.67759149854-29496.646828970726j)), ((33208.12540969731-42543.11381431012j), (-37368.19634070844+36983.91078521421j), (-53479.67762639474+69192.57351520905j), (-16987.119998626833-24907.621827720854j)), ((58265.74226484515+21428.598358311836j), (-25451.773790957814+34641.52936103524j), (49737.44278424142+46668.70872917027j), (-19763.07777821306-55742.60412333406j)), ((39696.62704009203+11792.880723760507j), (45040.78931593459+1353.15524889082j), (38919.41458390256+5018.601358823813j), (24700.01773615746+18638.158415414437j))), (((-27357.697301503198+67993.98776577965j), (43358.65691551873-60981.94828910699j), (-36961.845280498295+73544.32798356535j), (-7005.460088561973+56718.32085849555j)), ((-45794.83454061549-24789.54243897248j), (-35553.771747041705+281.20812003471656j), (741.8214864204201-48926.27892674535j), (15258.748935604614+5750.3134710095765j)), ((13578.214948777008+49023.37779316875j), (-52997.87500887418-28291.632747669166j), (34523.01328904568+70373.31760549065j), (-8549.195292188699+38710.00933198735j)), ((-8724.746595711767+39671.57400059246j), (54220.76682697828+52787.45089736888j), (-2929.7928072663053-14645.947666259133j), (6967.3562262647465+20575.621108094565j)))), ((((41255.3128726088-4735.07598620026j), (17330.015550087788+39190.403383224395j), (-2409.2939922655205+33755.22845153985j), (-84016.4244828014-28839.63999275923j)), ((-7567.298951515288+24481.103774662595j), (-25149.082523503632-8583.669927251554j), (47788.23750305794+37492.05579481191j), (-19575.167208193656+21113.148224316566j)), ((-8076.55304084401+75096.61990916729j), (42138.65038370111-27451.77036345769j), (17599.47893995483-6322.617589222951j), (43000.60101023788+54422.76834543564j)), ((-24961.480874041634-2122.019874702237j), (6425.889470030932+5622.557974648473j), (-65254.39721134174+59644.00375157643j), (-26617.634404672892-53495.819302484895j))), (((-54060.398876227686+55992.77686553825j), (-29817.626727209106-29704.79980981775j), (-6767.670138070098+10024.257522469488j), (-30133.80524111932+40328.89815642918j)), ((50000.78584499907-5894.192721755971j), (-3021.8049413580593-70247.81603731646j), (695.299152508218+58895.55560166443j), (-16680.2648353032-87022.82137596376j)), ((14249.594063942364-1274.074993916045j), (12234.307608613788-18357.139710977237j), (32290.96562094186+38793.36224883628j), (67656.21258170376-9760.573070193976j)), ((-45601.023706816115-74319.21757213926j), (55876.22452146437-61120.98256716965j), (58027.41230717529+10786.688485100865j), (-3495.6762613661413-46756.553429873304j))), (((92894.48804954227+23902.59394418483j), (1353.988548653011-92567.68243719656j), (65397.064463537616+10248.124624835778j), (567.8160836168245+78786.59184031615j)), ((-40282.49291521364+79825.32258981027j), (-40310.88688269715+455.4179428850184j), (-11166.391823961778+2764.918200738073j), (78697.6368921528-685.3372273494751j)), ((70892.98538412598+78843.94735644812j), (-64882.52692417733+80256.3932249126j), (26045.841803168907-12175.162753092736j), (-58159.5440761434-67887.15729778618j)), ((8775.14598500292+16795.25423101084j), (13155.934674011907+16737.126752117358j), (15975.852541323125+14513.776915618466j), (-25215.109458495746+8530.276446405784j))), (((25795.767870170166-31056.851297134257j), (4037.894742402088-83.2035600123636j), (-19413.455650262404+40693.39115961014j), (-63145.75424957367+34735.00168222326j)), ((17181.9690394505+18815.796074907106j), (45370.782381827026+55332.61058358025j), (-15112.046450780603-88000.14177105221j), (81609.38175982882+21862.010369853655j)), ((-55560.45495276697-8487.570486260593j), (-1240.3046453718998-36806.93746782728j), (2314.7751094353007+66709.2996375249j), (73913.798692593+17715.330241595133j)), ((-6756.64963479065-17680.06798381319j), (-68433.87475450675-1521.61274877697j), (-38429.70821819296-59684.70774465629j), (679.6723316871648-5141.593014362268j)))), ((((6009.97586310716+60604.30942478338j), (32396.109723949165-43790.651419414105j), (28779.550340574773+51904.28569017858j), (22898.47954312162+24374.281930383077j)), ((43337.67939273335-5975.004215923647j), (-20668.774830910013-76079.20355770885j), (28645.123677151292+25672.909247014104j), (-31717.682104715685+9732.221717787586j)), ((53661.13842896042+72923.84155787138j), (35385.072072520015-6307.198139944798j), (30479.544507534592+62234.1254985712j), (-1034.7905621764367+40286.709890159545j)), ((-81367.55312016135+16928.505901155673j), (-7815.888755622378+6045.680730129257j), (23493.410721616994+56525.86301109548j), (64379.29795689413-41596.85817228346j))), (((10077.706189869234-14023.344225890105j), (9787.45494885469+1980.526605239269j), (-41789.42734084199+33109.62355852481j), (77722.47714091674+16230.914008263571j)), ((33929.99686388744+69324.24249861641j), (-42944.721176775936+77239.49498876408j), (-24531.218551429585+33511.72101875048j), (38167.50870231599+48640.295148756864j)), ((5153.059156082629+82411.43319343394j), (46237.63154724835-24482.044081531683j), (-42350.512586094905+21364.573202395462j), (27884.705448024964+27406.374083228744j)), ((26735.822927676723-16229.136581069019j), (-20377.70277018177-48828.24171348816j), (-31499.21640336576-14810.9243228345j), (-7904.957576446148-20229.149437926535j))), (((16522.705470639165+17310.831386237332j), (-76148.34984139015+80969.93773509384j), (-24811.00749069672+38047.29320608019j), (20992.172136102876-22605.533994627098j)), ((-20970.94805191878-11158.194764479718j), (-24776.365668172788+15335.11508002579j), (31475.965557547286+42101.17185492054j), (-5067.057332858472-32895.81793448307j)), ((2682.2679111504112+39461.2760464704j), (8347.197026209295+5913.884037792421j), (-33487.63388762134-63339.09288353257j), (-57157.881248657024+1556.61791639906j)), ((-41068.04079080766+48584.07702236999j), (8498.148930898213+14312.48564445498j), (-21316.05107180962+87054.88334056246j), (-21471.236761054563-59830.259831579846j))), (((29431.72773241329-33178.12936911729j), (26409.71652118041+55871.26981512072j), (66462.49459072504+84224.15533504078j), (54448.348792259174+24319.32902355393j)), ((-71328.38862684023+23367.89957869296j), (-59401.71170696309+49485.585597715195j), (41883.2210796735+19719.46171899562j), (-18795.333157237168-68982.70021560306j)), ((59112.62708481629-45457.26410539314j), (-88790.25871362776-25685.393578202435j), (23696.552787236098+41921.596338817966j), (55010.09931039718-93443.28701025742j)), ((39099.27462555075-21859.303492325664j), (-13175.71402014888+48223.91127425416j), (-5568.289447947842-299.0850724438933j), (-20467.28086020409+30095.8347308894j)))), ((((-16018.868474730582-47768.31986595277j), (51712.37041771119-18503.457760090154j), (-49051.6111606494+23687.829560421436j), (-71984.9830420537+396.65467472762975j)), ((10108.4516848598+51857.057322104636j), (-7216.241612916012+72110.85192662141j), (54626.45574269543-59774.72883503144j), (-657.6522009949113+60897.80850184188j)), ((-7989.0171800768585-89431.37235259652j), (-24705.702245950946+70622.38482297733j), (-63459.904012077815-42658.85544672633j), (50226.10296539047+34122.54286740055j)), ((41218.241998490725+14373.480195603668j), (-54370.32919269195+6808.202490824406j), (-1527.4828551954124+54636.12386175628j), (14472.837501920381-52333.2803360176j))), (((-2746.8539660817187-74513.82700384625j), (-61015.83534421826+53680.73473922199j), (-79322.89757472202-30783.74464730559j), (-46747.1238366321-74773.91885253192j)), ((38500.41669416314-55405.667973400086j), (1396.4878373664105+24775.37482803031j), (58020.02299122539+48560.59423440633j), (-29555.466456927898-2523.0682893230987j)), ((-34617.908388179705-12964.332502930381j), (-45031.80883921236+65602.1489634705j), (-25153.44844444198-12070.474688363538j), (-21543.782061126898-86119.31236007596j)), ((71651.55622950022+37553.55829666175j), (73215.11980883317-718.055454765301j), (7065.864625805567-92990.91593148846j), (11751.07053047308-7707.306990859142j))), (((-43076.79837010652+24177.23355451846j), (6793.467392677732-20449.573606641366j), (-71013.01101746038-6225.881152518472j), (74055.17870813374+66606.15686348274j)), ((11557.138464109157+5388.5729086161155j), (36732.06100793248-37022.585715349574j), (2921.611354480643+55496.19455947708j), (55058.90849766818+18274.262129668554j)), ((-58815.802612553605-3016.8034868425602j), (11211.939776371626+85380.70520152281j), (5184.476190878297-46247.039507761j), (66267.98054810712-61671.71978896645j)), ((-5378.665820848371+9328.328146237982j), (43895.1264174895-68770.39938502887j), (-17511.997277418195+58343.13845945775j), (-85449.25399769237+5421.878678659821j))), (((39759.129208538325-36375.49825029998j), (14116.074449609747-3690.404237582101j), (726.610813691339+20601.83416877652j), (-39703.3656455713+3717.592156691331j)), ((59401.5216214189+24249.24110262998j), (32483.925202512517+12478.691995073255j), (-32680.63271733308-27669.460617493503j), (-49228.06429579756+18669.428245068033j)), ((44330.3653675318-76.05447174097935j), (-77173.70951748395-14072.79466329544j), (44365.91092729417+30775.448092456412j), (-27126.74998375852-42673.613992010614j)), ((69065.27619440478+6707.326801963689j), (30689.082128804977-86800.51053515819j), (49475.52450098609+20399.323850453336j), (-29667.120261194417+8908.992755905914j))))) else: if rank==0: return (1968.4370221151426,) if rank==1: if no_first_arg_negative: return (24899.54037082102, 25.31549006801) else: return (-24899.54037082102, -25.31549006801) if rank==2: return ((1830.692020877672, 4256.807988523855), (31330.447580824955, 30088.386511638193)) if rank==3: if no_first_arg_negative: return (((22464.14939770715, 9326.07497133658, 58843.28039835674), (39132.51601559524, 28984.021248456513, 87606.99636934511), (82483.31416277925, 58484.471708777906, 28659.10377643413)), ((48055.05693146407, 36954.49346593733, 25658.428739633804), (45374.680239837886, 11967.766802782062, 40707.17918100887), (9272.611657965084, 95545.34560025277, 36552.65523613798)), ((91272.06575583504, 61258.36210240262, 23700.008344466856), (76559.99183386622, 74506.2742834793, 40042.39145376187), (54893.50655552275, 60408.00584363263, 68208.21135366432))) else: return (((22464.14939770715, 9326.07497133658, -58843.28039835674), (-39132.51601559524, -28984.021248456513, 87606.99636934511), (82483.31416277925, 58484.471708777906, 28659.10377643413)), ((-48055.05693146407, 36954.49346593733, 25658.428739633804), (-45374.680239837886, -11967.766802782062, 40707.17918100887), (-9272.611657965084, 95545.34560025277, 36552.65523613798)), ((-91272.06575583504, 61258.36210240262, 23700.008344466856), (-76559.99183386622, 74506.2742834793, -40042.39145376187), (54893.50655552275, -60408.00584363263, -68208.21135366432))) if rank==4: if no_first_arg_negative: return ((((2613.5684369694354, 384.9724701708765, 17359.719572324335, 63393.27571171061), (41041.42067423142, 14993.16104673734, 27399.273319594344, 60051.2377656026), (18566.32422588553, 73825.83739655794, 95319.0187027347, 27646.03157540709), (88007.8178172775, 60759.47561504975, 31822.15287970184, 38852.10105560179)), ((89386.29724076603, 79511.70453673883, 1325.344653112319, 14210.631402891566), (9099.55295712997, 30612.395205911307, 5512.258312859951, 43371.59702594321), (24961.325742358764, 6843.62962861413, 43588.35638871549, 37139.61080792606), (59901.00300911518, 59802.81275754453, 26119.701955513825, 70973.81339014533)), ((10824.815145545523, 37682.56858486531, 14732.374901197414, 14286.141738580205), (43004.59056324265, 59441.985441533616, 83687.96499450768, 4325.869356595635), (56783.42265829212, 28959.61168144866, 83740.97480554663, 10729.510064491638), (38480.61835393819, 50636.84578373406, 3588.0738023085723, 56239.74544740876)), ((18228.900850710852, 16632.129655349723, 8015.163471499967, 4521.799739700364), (51505.380752985875, 1524.7016267364233, 19342.421346891773, 48490.57412835015), (73047.79149393305, 35239.98425352734, 35458.1734620065, 55659.41536985519), (13074.184715655007, 6436.319756047014, 28485.17418228225, 11128.300314215841))), (((321.6371242800669, 35572.05942103493, 9515.23626081155, 4433.077669837556), (26761.084128710136, 10867.52013173081, 19183.162620251198, 68559.41235027292), (11484.667574519088, 51828.050682516754, 38005.19565254123, 76175.23771370867), (5227.790707720851, 71440.84429737684, 50336.09378326664, 37678.70778115371)), ((45566.74581644684, 5908.975208284799, 22576.958775978783, 50020.73251106653), (26017.058082686533, 25299.281527364627, 40976.696154446676, 13431.16881318092), (46649.16989082289, 65794.20117285698, 64119.987425361716, 5497.440022742972), (2203.2985446707025, 57513.79981817989, 41574.749087273776, 48387.40101623114)), ((18416.741032524515, 47640.69430896508, 19679.029797917596, 34810.30464977612), (62831.92844082225, 27725.457434774376, 3134.438446956716, 49315.595365086476), (73623.94099730175, 20978.640264794405, 5573.772319421056, 36086.56272512534), (28660.57533284233, 58241.55583429358, 51661.45261125069, 50693.33103010448)), ((56426.23453986164, 78359.73594286482, 38576.297999959155, 8913.910887926046), (88189.29548286308, 2602.1208204264694, 15718.494307329529, 39115.51872697051), (50134.74938380022, 42828.424427019796, 39528.932684095016, 71074.105860494), (10360.78422517216, 3628.4946464838577, 866.6535588603292, 31553.01858562138))), (((52390.293064785874, 12243.173190398476, 12973.542140497811, 24679.210914480092), (39068.25465569209, 11375.555598436607, 11948.963084895935, 23180.6696549638), (7750.742802840003, 4544.655806011273, 17257.229884485423, 38718.29755209083), (54962.39017442457, 32692.842165301, 79228.7545707964, 46958.08883925094)), ((58808.04021951867, 31679.09607989699, 60465.22396617634, 3778.4799478359637), (17712.329884018807, 17874.74312645469, 14954.738052270157, 44753.01307496137), (24417.93508883397, 25931.24652138863, 27186.302587945494, 37605.82669369904), (20116.370032880397, 22395.271847421376, 39918.504300252374, 43365.55907616498)), ((29680.436323581554, 7156.784950690315, 27141.447127045933, 65196.42918411147), (10851.323062587486, 12918.348059911383, 61892.308397834146, 49367.20478221224), (12048.985149625369, 61619.01673500164, 19594.218775417554, 52093.668037218595), (38465.24637072596, 9188.19710817252, 7828.463839086282, 62406.93767988804)), ((35787.91825329978, 23117.81737012358, 49967.17854684144, 9030.162340133553), (31476.492123520133, 42646.47087585365, 80893.4161545868, 38123.68731593444), (23794.505773755358, 1648.5505688887642, 18076.67754352292, 50552.198666715994), (31218.595116869503, 36051.76246348336, 23827.05367940539, 6983.787679924746))), (((22717.871470141312, 41000.10860057993, 57170.77347009425, 45870.224065572766), (75749.5782286584, 82016.05469083885, 15364.324776823589, 34421.772637849994), (56091.35037369725, 69020.64428824343, 54982.82912975482, 26461.710610700044), (6865.449808598962, 1458.33269652327, 19976.42644646119, 71857.51352483299)), ((19816.540187252496, 8015.999325965924, 73384.47295519276, 29811.76619356322), (13116.527286368713, 76148.43320182734, 694.6129571919591, 51487.98727764331), (18216.321286892955, 19089.44846330423, 49851.57024753545, 23061.547216296094), (4069.367521493099, 4460.02510964268, 70628.47512058845, 5320.222269188191)), ((55551.601997272795, 15131.970379855833, 9132.149357120768, 1748.749782567771), (25571.39049857318, 22269.3336119335, 40013.90106400979, 41645.300687720875), (19942.423484201456, 77721.3403094917, 49049.37211887518, 42125.028417728725), (20331.591530993654, 18849.729202127564, 11172.361078239031, 42378.721186597744)), ((28162.219784186906, 27005.38411136302, 28047.626970074954, 48907.05914121462), (21561.00249540838, 16819.379648924267, 21373.309752767862, 81217.52472263864), (14530.50392089595, 38878.60235910026, 18507.98920090188, 38187.90762089445), (24234.820876412356, 50390.96325142998, 5976.493423496679, 16545.42618485792)))) else: return ((((-2613.5684369694354, 384.9724701708765, 17359.719572324335, -63393.27571171061), (41041.42067423142, -14993.16104673734, -27399.273319594344, 60051.2377656026), (18566.32422588553, -73825.83739655794, 95319.0187027347, -27646.03157540709), (-88007.8178172775, 60759.47561504975, 31822.15287970184, -38852.10105560179)), ((-89386.29724076603, 79511.70453673883, 1325.344653112319, 14210.631402891566), (9099.55295712997, 30612.395205911307, -5512.258312859951, -43371.59702594321), (24961.325742358764, 6843.62962861413, -43588.35638871549, 37139.61080792606), (-59901.00300911518, -59802.81275754453, -26119.701955513825, 70973.81339014533)), ((10824.815145545523, -37682.56858486531, -14732.374901197414, -14286.141738580205), (-43004.59056324265, 59441.985441533616, -83687.96499450768, 4325.869356595635), (-56783.42265829212, -28959.61168144866, -83740.97480554663, -10729.510064491638), (-38480.61835393819, -50636.84578373406, -3588.0738023085723, 56239.74544740876)), ((18228.900850710852, -16632.129655349723, 8015.163471499967, -4521.799739700364), (-51505.380752985875, -1524.7016267364233, -19342.421346891773, -48490.57412835015), (-73047.79149393305, -35239.98425352734, -35458.1734620065, 55659.41536985519), (-13074.184715655007, 6436.319756047014, -28485.17418228225, -11128.300314215841))), (((321.6371242800669, 35572.05942103493, 9515.23626081155, -4433.077669837556), (26761.084128710136, 10867.52013173081, -19183.162620251198, -68559.41235027292), (11484.667574519088, 51828.050682516754, 38005.19565254123, -76175.23771370867), (-5227.790707720851, 71440.84429737684, -50336.09378326664, 37678.70778115371)), ((-45566.74581644684, 5908.975208284799, 22576.958775978783, -50020.73251106653), (-26017.058082686533, -25299.281527364627, 40976.696154446676, -13431.16881318092), (-46649.16989082289, -65794.20117285698, 64119.987425361716, 5497.440022742972), (-2203.2985446707025, -57513.79981817989, 41574.749087273776, 48387.40101623114)), ((-18416.741032524515, -47640.69430896508, 19679.029797917596, -34810.30464977612), (62831.92844082225, 27725.457434774376, -3134.438446956716, 49315.595365086476), (-73623.94099730175, 20978.640264794405, -5573.772319421056, 36086.56272512534), (28660.57533284233, -58241.55583429358, -51661.45261125069, -50693.33103010448)), ((56426.23453986164, 78359.73594286482, -38576.297999959155, 8913.910887926046), (-88189.29548286308, 2602.1208204264694, -15718.494307329529, 39115.51872697051), (50134.74938380022, -42828.424427019796, 39528.932684095016, 71074.105860494), (10360.78422517216, 3628.4946464838577, 866.6535588603292, 31553.01858562138))), (((52390.293064785874, -12243.173190398476, 12973.542140497811, 24679.210914480092), (-39068.25465569209, 11375.555598436607, -11948.963084895935, 23180.6696549638), (7750.742802840003, -4544.655806011273, 17257.229884485423, -38718.29755209083), (-54962.39017442457, -32692.842165301, 79228.7545707964, -46958.08883925094)), ((58808.04021951867, 31679.09607989699, 60465.22396617634, 3778.4799478359637), (17712.329884018807, 17874.74312645469, 14954.738052270157, -44753.01307496137), (24417.93508883397, -25931.24652138863, -27186.302587945494, 37605.82669369904), (-20116.370032880397, 22395.271847421376, 39918.504300252374, 43365.55907616498)), ((-29680.436323581554, -7156.784950690315, -27141.447127045933, 65196.42918411147), (-10851.323062587486, -12918.348059911383, -61892.308397834146, -49367.20478221224), (-12048.985149625369, 61619.01673500164, 19594.218775417554, 52093.668037218595), (-38465.24637072596, -9188.19710817252, -7828.463839086282, -62406.93767988804)), ((-35787.91825329978, 23117.81737012358, -49967.17854684144, -9030.162340133553), (-31476.492123520133, -42646.47087585365, -80893.4161545868, -38123.68731593444), (23794.505773755358, -1648.5505688887642, -18076.67754352292, -50552.198666715994), (31218.595116869503, 36051.76246348336, -23827.05367940539, 6983.787679924746))), (((-22717.871470141312, 41000.10860057993, 57170.77347009425, -45870.224065572766), (-75749.5782286584, 82016.05469083885, 15364.324776823589, -34421.772637849994), (56091.35037369725, 69020.64428824343, -54982.82912975482, 26461.710610700044), (-6865.449808598962, 1458.33269652327, 19976.42644646119, 71857.51352483299)), ((-19816.540187252496, 8015.999325965924, 73384.47295519276, -29811.76619356322), (-13116.527286368713, -76148.43320182734, 694.6129571919591, -51487.98727764331), (-18216.321286892955, 19089.44846330423, -49851.57024753545, -23061.547216296094), (4069.367521493099, 4460.02510964268, -70628.47512058845, -5320.222269188191)), ((55551.601997272795, 15131.970379855833, 9132.149357120768, -1748.749782567771), (25571.39049857318, -22269.3336119335, -40013.90106400979, -41645.300687720875), (19942.423484201456, -77721.3403094917, -49049.37211887518, -42125.028417728725), (-20331.591530993654, 18849.729202127564, -11172.361078239031, -42378.721186597744)), ((-28162.219784186906, 27005.38411136302, 28047.626970074954, -48907.05914121462), (21561.00249540838, 16819.379648924267, 21373.309752767862, 81217.52472263864), (14530.50392089595, -38878.60235910026, 18507.98920090188, 38187.90762089445), (24234.820876412356, 50390.96325142998, 5976.493423496679, -16545.42618485792)))) def get_scalar_input1(self, cplx, no_first_arg_negative=False, no_zeros=False): if not cplx: v1=0.6081355033581688 else: v1=(0.27562178672620385+0.42446484939332796j) return (v1,v1) def get_scalar_input2(self, cplx, no_zeros=False): # optional arg doesn't matter here if not cplx: v2=0.5327268994219874 else: v2=(0.49976275640416334+0.4141087840210876j) return (v2,v2) def get_scalar_input3(self, cplx): if not cplx: v3=0.4903827487969067 else: v3=(0.4130410618402195+0.7195601418761082j) return (v3,v3) def get_scalar_input4(self, cplx): if not cplx: v3=-0.4555987934301202 else: v3=(-0.2562657772006671-0.09989064526858904j) return (v3,v3) def get_python_input1(self, rank, cplx, no_first_arg_negative=False, no_zeros=False): if cplx: if rank==0: return (-0.8493106430566671+0.5498588650604705j,) elif rank==1: return (0.5213538174366878+0.45097055421243537j, 0.25896216831911634-0.5966874048733529j) elif rank==2: return (((-0.20984377987310687+0.024810300993445944j), (0.024805532005481523+0.015098314700385806j)), ((0.2292639954026584-0.7100972341857507j), (0.08682454615283863+0.12332238221542291j))) elif rank==3: return ((((-0.6550500854131598-0.2127087989155373j), (-0.017627543683440106-0.3665841375380333j), (0.12492952051741912+0.05374046981620606j)), ((-0.11197479851035519-0.5608269924316476j), (-0.5419470859968003+0.07356518546227997j), (-0.42635110929148823+0.47738396333288513j)), ((-0.16556333483163588+0.009959138144123747j), (-0.17095759700320223+0.19563542216810015j), (0.38543550056193654-0.7475542165987907j))), (((-0.773039591137402+0.001304882415888442j), (0.005692414753365238+0.7073228171031704j), (0.16149889599978962-0.5779399189029897j)), ((-0.39240472327059983+0.5661946692113213j), (0.15619153376084327-0.2043397442335695j), (0.12989734566943012-0.6797045089189742j)), ((-0.2953545934396431+0.00897241164565632j), (0.2424492369208724-0.3012099081809274j), (-0.5052331641775911-0.7560269073586534j))), (((-0.4330063069118393+0.4662418513842146j), (0.14640515390237896+0.21280275920042335j), (-0.6848374766215319+0.688509731931129j)), ((-0.7009542857194253+0.5090290863675988j), (-0.08777137326709294-0.0642088074588476j), (-0.22469168662839534-0.20497222057853204j)), ((-0.004895060324627054-0.0007149461427655712j), (0.5733987472263198-0.020876347517763794j), (0.14677839835678597-0.33748939337229644j)))) elif rank==4: return (((((0.790344350-0.675690862j), (-0.33969014424346+0.004667354999j), (-0.353898037-0.23103247j), (-0.173453149+0.350472j)), ((0.262318036+0.493920836j), (0.122221063-0.2126j), (-0.2002867+0.62847794j), (0.2585201923791-0.1055537993243j)), ((0.1024287918-0.07259437049j), (0.3338564+0.44847000j), (0.0433384-0.2616078j), (-0.1717597+0.2503709670077j)), ((-0.768778331-0.076403010j), (0.251991719+0.62985777j), (0.4514933+0.47696252j), (-0.0351486+0.023037350246j))), (((-0.4863645-0.24921801802j), (-0.023444472-0.5599386j), (-0.56592+0.4275706j), (0.41222370286-0.34867238925j)), ((-0.5252590+0.04977251205j), (-0.33737953+0.27293775j), (0.66428+0.87048705j), (0.0672260574-0.416242856449j)), ((0.148783460-0.4520517585j), (-0.41537536+0.16140391j), (0.6278127+0.263838j), (-0.07760387-0.1831155602152j)), ((0.0470026875+0.481795665j), (0.0215979296-0.081945318j), (0.7913869-0.0861j), (0.39466-0.36695690929153635j))), (((-0.143371038+0.36692459j), (-0.05936024660+0.57744203j), (0.35210125-0.3062606j), (0.09250628940+0.2787772j)), ((0.5220814-0.12741648j), (-0.054402209613+0.8726141525j), (0.19115503+0.059924j), (0.34340959513-0.13436584j)), ((-0.854710-0.3580477j), (-0.45614757+0.0726810109j), (-0.11809521670+0.15075834042j), (-0.028270996-0.13039829j)), ((-0.4935554755+0.6616606j), (-0.77712599-0.292285j), (-0.29938802+0.958714551j), (0.1306040901396+0.5467211724j))), (((-0.490711642822499-0.0679784225903799j), (-0.028147241164195536-0.03995809530085381j), (-0.28811330815221536-0.6815443637070895j), (0.07421744086779403+0.7402073156785812j)), ((-0.20556698745139912+0.15621646747170792j), (0.09192542596753261+0.12253579257228409j), (-0.3264483145179087-0.946630282004219j), (0.224192041112648-0.90380956121387j)), ((-0.23224656797256493-0.6768140280012414j), (0.2451768408209073+0.17488492564153224j), (-0.6851697787753819-0.08406614036650228j), (0.20088414272093424+0.1669900873662492j)), ((-0.36057308512412345+0.4226878583624143j), (0.4490488492756204+0.11240390126422484j), (0.03234540063577107+0.5512325765639803j), (-0.5756238638317961-0.46042879607009257j)))), ((((0.24124399378525585-0.8745635773731907j), (-0.19374525735285986+0.5380787997061398j), (-0.4489085299026162-0.6296073456803736j), (0.056570144039872594-0.135671341894538j)), ((0.05530486113034205-0.45284053426797866j), (-0.04502323738051783+0.0630304737860885j), (0.004887893978963609+0.5713368827301133j), (0.18732743423207876-0.7143408881411377j)), ((-0.3712234322764927+0.24908466763268566j), (0.6364022966205971-0.21808571418727385j), (-0.5670900710572193+0.6348611392807915j), (0.9245683140013828+0.3899090325528184j)), ((-0.6094870272364956-0.2685532809269351j), (0.6287315177811945+0.4264823533706973j), (0.1676715780106749-0.48029733292855326j), (-0.5376630517471747-0.7182359990772386j))), (((-0.018779747197580465+0.6114308512727638j), (0.3732084851158033-0.4786089418474003j), (-0.5663664323873074+0.39392462282467033j), (0.13538143997466878-0.12985823792228446j)), ((-0.4780490757496574-0.39805216916921526j), (-0.2797090849741719+0.93720217986173j), (0.6203622207514078-0.15823957110011522j), (0.6060182605777774+0.018214531480017393j)), ((-0.3696664461011986+0.07708468475820063j), (0.3066672994071602-0.345863819817513j), (-0.18002308351634988+0.6758164917135244j), (-0.3299795335012433+0.3472073085359665j)), ((-0.018635553181191034-0.2527645838168162j), (0.10050559250760827-0.2682102608362037j), (0.15675656210201427-0.8704771160865176j), (0.2060240187990353+0.1525158024705776j))), (((0.17233488629737193-0.11594210469295985j), (0.06281516668626441-0.2603634509290429j), (-0.05642743012335105-0.655594777161181j), (0.6959785793264961+0.19699171017512973j)), ((-0.17348338509217032-0.6986792371372937j), (-0.8346643961801311-0.3680194342368177j), (0.12864312443903647-0.32156359553027614j), (0.6861567331359726-0.010430013106866087j)), ((-0.6222917331694062+0.112713903157314j), (-0.12621654439609742+0.28520452943867913j), (0.44508284456518865-0.7522188187153122j), (-0.2636591190438452-0.040926078833506185j)), ((-0.19805372118683406+0.5858778783604968j), (0.8721978764710994-0.548302441850661j), (-0.15430327558703272-0.01201209901149869j), (-0.3670274756811238+0.5474051336552919j))), (((0.25034760722181615-0.15703084151927404j), (-0.14637027923589074+0.2928912738619156j), (0.46416445476921286+0.08042093992929411j), (-0.506840204775922-0.1186965040818393j)), ((-0.37679950234230697-0.2701183493158177j), (0.043782673009088335+0.06734842807447794j), (0.2517828293729589-0.46888255931621403j), (0.6737055518213005-0.812365808946925j)), ((-0.2661639821601073+0.13557351739334367j), (0.7392306869051049+0.5132140781139445j), (0.8364137600747349+0.15412542220542547j), (-0.5220472284167044-0.3618612888730691j)), ((0.13970939326026943-0.3036727447660489j), (-0.38759251152342933+0.18775991991684293j), (-0.2487083238049208-0.4778652656270306j), (0.1390512499757498-0.9134653209907141j)))), ((((0.04833008268979544+0.15219347436054742j), (0.26103655160455086-0.3757461116008425j), (-0.12150273403936784-0.617683120749172j), (0.06086845258368434+0.5631830804862105j)), ((0.5300453373682147+0.4166351114705461j), (-0.6851243348127105+0.6918703698362535j), (-0.7710255671005614+0.10134603710624956j), (-0.26008427165733317+0.39542364464404867j)), ((0.5854498106749348+0.549731062650827j), (0.2519939415821417-0.43527531634423966j), (-0.6267811606157699+0.8585285100484663j), (0.07940474123690222-0.5124720092697812j)), ((0.30776303313314646-0.15530657580599816j), (0.007522269998118669+0.35668611429959896j), (-0.1919814476250188-0.30177638543157503j), (-0.1646298733419591-0.7159546806725978j))), (((-0.30218788472478486+0.7760123719336528j), (-0.6314508280105797-0.1304090779644247j), (0.47461359141937576+0.4479088939414325j), (-0.06334668969380608+0.1323481666947287j)), ((-0.7546949847971307+0.1756014222789699j), (0.25493728708952623-0.1282474899023487j), (0.390011965026524+0.4028431671750171j), (0.06598509493063165+0.7155111116236064j)), ((0.07881709314826968-0.24405932002231845j), (0.36802109324120846-0.15749901166866498j), (-0.4450424875753707+0.7030178139999255j), (0.27329963141708635-0.7119309406610871j)), ((-0.30933381776423374-0.11542316873853986j), (-0.0254248179097315-0.7313241377455038j), (0.10700540112141-0.4660169963118146j), (-0.3013644469437623+0.17540339691654783j))), (((0.0008073119623276392-0.05721575120619815j), (-0.08090870209548084-0.5957005266957907j), (0.17886979689341065+0.08798138279240286j), (-0.47326181867795214-0.39061153265097337j)), ((-0.6240780356387126+0.931178282425864j), (0.49774084728858903-0.6554241240698137j), (-0.5514724615982707-0.1357900974308276j), (0.9476110679732384-0.8254384162767912j)), ((0.339181898243627-0.26749719725842025j), (-0.8452885480367868+0.6880217962554664j), (0.6160319781793868-0.21382367328363683j), (-0.10773724739140955+0.12900692439104278j)), ((-0.4524239681624962-0.05106064389660214j), (0.3502260661172907-0.28486272434416593j), (-0.22611152371676513-0.4473111544777272j), (-0.07889011849494199-0.902189430409641j))), (((-0.4549255061524088+0.8204137745689758j), (0.6262794891433104-0.07873980006902381j), (-0.2099285569580429-0.5700098959028401j), (0.6485809522680817+0.09567054692828636j)), ((0.20594301199461984+0.4902067661467834j), (0.3329644191869927-0.02188884849814343j), (-0.22921000231707434+0.3393725843732417j), (0.5813376839449342+0.09312340842380451j)), ((-0.44184373889384854-0.22572260324605908j), (-0.2865930601221123+0.2963815667447778j), (0.23401187102772336-0.14690195925951866j), (0.5821368881041176+0.7899842539077798j)), ((0.21512923589171906-0.5017618261731809j), (-0.29710734954707296+0.3058974064324922j), (-0.3522028959822211-0.5211544989239631j), (0.0833888296839771+0.47110470479799904j)))), ((((-0.12192871299046759-0.7328491805867747j), (0.7012790193629233+0.7216675552235499j), (0.07746694166806012+0.07187177179945092j), (-0.11596083131875812-0.3402549730235054j)), ((0.4419525909212654-0.41264178907481297j), (-0.9540280899180219-0.0931626138838092j), (0.5850822884122122+0.023613319021177137j), (0.6204747822108139+0.4817530149691007j)), ((0.12857240889181254+0.26765277556782874j), (-0.5905959060433874+0.30391448875145577j), (-0.33009606966351646-0.5133049903372606j), (0.3911371567574641-0.5699531083068055j)), ((-0.06951047741648464+0.09185412570082496j), (0.23412720494006845-0.15301303449597714j), (-0.3632868271203742-0.0854806981764501j), (-0.06898965841232252-0.08895516025337646j))), (((-0.30228646550028415+0.06630530646305488j), (0.1386457118575627-0.48419676726390337j), (-0.22729071025997294-0.7643686926101503j), (-0.3622425543437594+0.8590754571587876j)), ((-0.22721539776726385-0.36036034464849565j), (0.31497309604817325+0.3597772211828737j), (0.5069787174234794-0.8219928876404512j), (0.11194139062149588+0.26293050464964796j)), ((0.4612090001013647+0.27388506472486907j), (-0.30194776224929665-0.13263761985638922j), (-0.6233657091294399+0.44684364446587943j), (-0.3450340301594258+0.11542147033108141j)), ((-0.014881287063154947-0.18928627620951555j), (-0.015185483586684478+0.8972647988323046j), (-0.4351552758945989-0.7299460860379636j), (-0.12326133732628419+0.012329124057677388j))), (((0.10476345838581014-0.14636495344507483j), (-0.32803930125358216+0.27809153512314866j), (0.22528172636268207+0.3494691827944507j), (-0.5310240602410343+0.04119281216138804j)), ((-0.5533642323509493+0.2906558493993484j), (-0.33436396580317507+0.4888660226122262j), (-0.4290629671820184+0.09348041559022413j), (-0.1635189281331263+0.08219415853032563j)), ((-0.48564277336559514-0.39389189119028456j), (-0.07859439546331881-0.5417512106196164j), (-0.2634745687747664+0.6393823484701674j), (-0.4717227533107514+0.7886365869114986j)), ((0.1574555874287038-0.15735823857163656j), (-0.3407071004516933-0.00848408628817443j), (0.111461150743281-0.4496138761616306j), (-0.08146922125654954+0.5259628325969007j))), (((0.34656176542518824+0.07880355128877725j), (-0.258503112094004+0.23322070678863926j), (-0.6883175179734812+0.06684313489266447j), (-0.04692875801791596+0.7384728581195434j)), ((-0.3413224116842536-0.07621317699837815j), (0.23082091132507632-0.7397247652890888j), (-0.7325151537847703-0.2399819049396238j), (-0.13092551439092603-0.2541771655857984j)), ((-0.6621690601235584-0.3959496844857878j), (-0.18349053313548802-0.8753348282719295j), (-0.03908532595157577+0.35883701301557147j), (-0.051099789459096545+0.22309220396282636j)), ((0.255858259117678+0.5962976405338435j), (-0.4167005907396837-0.7228120687439701j), (-0.4251792094268322-0.5598290555324366j), (-0.02547169493326129-0.10035815157656547j))))) else: if rank==0: return (0.16343477325759478,) elif rank==1: if no_first_arg_negative: return (0.414447461350212, 0.5940893953018536) else: return (-0.414447461350212, 0.5940893953018536) elif rank==2: if no_first_arg_negative: return ((0.18517072101415805, 0.20812345616476052), (0.5546197008728526, 0.5564107547626429)) else: return ((-0.18517072101415805, 0.20812345616476052), (-0.5546197008728526, -0.5564107547626429)) elif rank==3: if no_first_arg_negative: return (((0.39959975888207894, 0.6577401243413907, 0.4280968882108843), (0.22892610169500252, 0.29400534047234894, 0.3596253597614875), (0.352145347223075, 0.22330947752937103, 0.6040999239623353)), ((0.5820901702251168, 0.5118427342586129, 0.784142756428528), (0.32306580123331297, 0.5718638969764223, 0.35139290436334764), (0.38744644765122205, 0.6230529976422874, 0.4451744915244834)), ((0.1680467743981198, 0.8270861936315199, 0.2604978984507546), (0.3179202431655108, 0.592515989853744, 0.37531069237770537), (0.5594567456296533, 0.5354189906699913, 0.6879940596903789))) else: return (((0.39959975888207894, -0.6577401243413907, 0.4280968882108843), (0.22892610169500252, -0.29400534047234894, -0.3596253597614875), (-0.352145347223075, -0.22330947752937103, 0.6040999239623353)), ((0.5820901702251168, 0.5118427342586129, -0.784142756428528), (0.32306580123331297, 0.5718638969764223, 0.35139290436334764), (-0.38744644765122205, 0.6230529976422874, -0.4451744915244834)), ((-0.1680467743981198, 0.8270861936315199, 0.2604978984507546), (-0.3179202431655108, 0.592515989853744, 0.37531069237770537), (-0.5594567456296533, -0.5354189906699913, -0.6879940596903789))) elif rank==4: if no_first_arg_negative: return ((((0.07653880859335448, 0.8506240072658446, 0.5669507117736834, 0.5069631117128448), (0.7231092428343939, 0.18235569823019526, 0.46022740126490647, 0.8492333455592396), (0.6170052818637486, 0.8808747630127647, 0.1563085221153727, 0.8244613246958687), (0.4294616619386404, 0.12118821840316875, 0.7616687854731052, 0.6728140330125063)), ((0.6436880168986288, 0.25021445743624676, 0.11998265803070028, 0.8312669978628259), (0.6870391868795935, 0.41825547772474664, 0.601722908359805, 0.10996760961876721), (0.30815741382372003, 0.8484037060918963, 0.6225223666523892, 0.25636768516056313), (0.5403219505752949, 0.784036866371234, 0.11777309540223573, 0.4039156719922558)), ((0.5543818190876664, 0.5654917578606441, 0.6110438985958697, 0.09343833716996176), (0.663012375502168, 0.2314869852119426, 0.23762537471584116, 0.6933683606475624), (0.29276295759188187, 0.714837865189284, 0.1872658031279304, 0.1702169706800615), (0.4542436592804883, 0.07976845049430197, 0.08816046717012539, 0.462262050647425)), ((0.506450528739594, 0.4062122557330939, 0.5462416476803083, 0.25191742530295563), (0.3393578341507891, 0.2825671991633298, 0.13447310100386736, 0.5860351833019655), (0.6612450693192753, 0.6774796280346236, 0.2676680871992434, 0.507190159923532), (0.6953428609343382, 0.7171619543885263, 0.6260223993304953, 0.331615476564711))), (((0.27573547448763347, 0.5077386283774998, 0.4453961872519076, 0.43130840985234026), (0.580315177591782, 0.5652609083059623, 0.8511780780181941, 0.33371199932631807), (0.699271673783864, 0.49366804495096395, 0.06797744724509305, 0.5353269755409358), (0.6252936853093409, 0.8905733967820801, 0.3089031678403189, 0.5261014470187029)), ((0.7404002858536928, 0.2048176759131214, 0.4980581903575471, 0.42894050825990854), (0.45779709857247547, 0.7620468819613082, 0.6247644411339963, 0.6305323474999456), (0.7909315252937255, 0.3012402477673979, 0.4525703288970107, 0.9352115724287626), (0.31693114412209444, 0.37281844304816186, 0.7318694959034, 0.19786924305064665)), ((0.3274437623324882, 0.33087589095095155, 0.8556630658488849, 0.524447118150698), (0.41163320939179787, 0.9238459438767593, 0.21861731917563137, 0.4424459362963088), (0.5776510801231114, 0.6065647351222803, 0.639307289457621, 0.7314330090773533), (0.27421408841108247, 0.12621566941798637, 0.46606608860175, 0.08985539889445235)), ((0.25771437676193215, 0.8671956551054035, 0.7024115898342955, 0.6180265239465382), (0.3536132615270657, 0.4678494273732346, 0.5440963329219566, 0.5386557403677203), (0.425277398166178, 0.5397867882224323, 0.21245876299659439, 0.8499599729452116), (0.282819828736375, 0.616976644425216, 0.45750716248923645, 0.10388406898090359))), (((0.480212232724941, 0.8937086550918505, 0.6399122280175192, 0.3926739182869949), (0.5866305704975537, 0.37523483543667685, 0.34455787558391154, 0.7468191968550546), (0.7561559742324413, 0.6618299652906166, 0.5497360987548463, 0.44000411823919794), (0.5489342296514085, 0.33299878380451237, 0.6851907132585857, 0.8837744966993399)), ((0.2449050432846066, 0.7225682113974873, 0.42149169327348723, 0.5241172273711572), (0.7461632214743219, 0.3773660518547119, 0.5911139199924735, 0.12543356040664694), (0.4374385476373295, 0.7523855940695361, 0.4381969239605094, 0.37308327852970813), (0.21637181734766117, 0.49874174259134, 0.3912614640116107, 0.4526617072173223)), ((0.7151470272616507, 0.43893562960939475, 0.4654984531602598, 0.026153794290457506), (0.7899612010454996, 0.4349102788459652, 0.7453956466392258, 0.47431536809150776), (0.42979681026390004, 0.571667413005515, 0.608322709782375, 0.4374481254420103), (0.33514856567435775, 0.5877137248653976, 0.9386863487830309, 0.1386415730993477)), ((0.35219579066973905, 0.6168773605138196, 0.40504448843510976, 0.424824210157774), (0.7812627665326543, 0.19452639019667187, 0.6000050187112531, 0.7539670503073901), (0.2981680001911141, 0.5123292320600974, 0.6035479676835969, 0.5180365031497639), (0.4958302538856905, 0.5666881217462356, 0.3057862327558582, 0.16322148534649822))), (((0.5219568172234907, 0.6691120408133714, 0.5415030041267854, 0.5178254487487362), (0.550999473408774, 0.3224491374840088, 0.40632316238837907, 0.5316822545746088), (0.15782246477014253, 0.39011414803016886, 0.5923055243411701, 0.33403984110147705), (0.5476956624940421, 0.353567340179472, 0.7751336150761081, 0.3769351266082521)), ((0.26092129669846587, 0.38531106190825626, 0.43089380185467957, 0.3517745063606868), (0.6068795949566435, 0.7313287811237782, 0.7817415065395071, 0.539725422031037), (0.4681995762086918, 0.8081081299514932, 0.45349678068383653, 0.1676286251112078), (0.9418725604754995, 0.7388572732026134, 0.44262594936532146, 0.7474149440129483)), ((0.8132968384251593, 0.5972218943821608, 0.5919410574164853, 0.35599895731169406), (0.7520654612132684, 0.45483154483372135, 0.4059225646226807, 0.4001021311571795), (0.241190931159322, 0.8294262552595144, 0.6807436275202874, 0.3970641092078186), (0.41214139959674073, 0.49530207420971023, 0.2603640589059204, 0.5320822386899074)), ((0.4852677073030271, 0.5126350217914364, 0.5251827072400477, 0.4107256987588376), (0.5923200155158566, 0.7301177285915048, 0.774241876159728, 0.6746581037497406), (0.3573798122820507, 0.169636160666647, 0.5725299039287078, 0.23182444091612892), (0.3601137116698788, 0.07438414986800912, 0.4165677125316061, 0.0790530879666291)))) else: return ((((0.07653880859335448, -0.8506240072658446, 0.5669507117736834, 0.5069631117128448), (0.7231092428343939, -0.18235569823019526, 0.46022740126490647, 0.8492333455592396), (0.6170052818637486, -0.8808747630127647, 0.1563085221153727, 0.8244613246958687), (0.4294616619386404, -0.12118821840316875, 0.7616687854731052, 0.6728140330125063)), ((0.6436880168986288, -0.25021445743624676, 0.11998265803070028, 0.8312669978628259), (0.6870391868795935, -0.41825547772474664, 0.601722908359805, 0.10996760961876721), (0.30815741382372003, -0.8484037060918963, 0.6225223666523892, 0.25636768516056313), (-0.5403219505752949, 0.784036866371234, 0.11777309540223573, 0.4039156719922558)), ((0.5543818190876664, 0.5654917578606441, 0.6110438985958697, 0.09343833716996176), (0.663012375502168, 0.2314869852119426, 0.23762537471584116, 0.6933683606475624), (-0.29276295759188187, 0.714837865189284, 0.1872658031279304, 0.1702169706800615), (-0.4542436592804883, 0.07976845049430197, 0.08816046717012539, 0.462262050647425)), ((0.506450528739594, 0.4062122557330939, 0.5462416476803083, 0.25191742530295563), (0.3393578341507891, 0.2825671991633298, 0.13447310100386736, 0.5860351833019655), (0.6612450693192753, 0.6774796280346236, 0.2676680871992434, 0.507190159923532), (0.6953428609343382, 0.7171619543885263, 0.6260223993304953, 0.331615476564711))), (((-0.27573547448763347, 0.5077386283774998, 0.4453961872519076, 0.43130840985234026), (-0.580315177591782, 0.5652609083059623, 0.8511780780181941, 0.33371199932631807), (0.699271673783864, 0.49366804495096395, 0.06797744724509305, 0.5353269755409358), (-0.6252936853093409, 0.8905733967820801, 0.3089031678403189, 0.5261014470187029)), ((-0.7404002858536928, 0.2048176759131214, 0.4980581903575471, 0.42894050825990854), (0.45779709857247547, -0.7620468819613082, 0.6247644411339963, 0.6305323474999456), (0.7909315252937255, -0.3012402477673979, 0.4525703288970107, 0.9352115724287626), (0.31693114412209444, -0.37281844304816186, 0.7318694959034, 0.19786924305064665)), ((0.3274437623324882, -0.33087589095095155, 0.8556630658488849, 0.524447118150698), (0.41163320939179787, -0.9238459438767593, 0.21861731917563137, 0.4424459362963088), (0.5776510801231114, 0.6065647351222803, -0.639307289457621, 0.7314330090773533), (0.27421408841108247, 0.12621566941798637, -0.46606608860175, 0.08985539889445235)), ((0.25771437676193215, 0.8671956551054035, -0.7024115898342955, 0.6180265239465382), (0.3536132615270657, 0.4678494273732346, -0.5440963329219566, 0.5386557403677203), (0.425277398166178, 0.5397867882224323, -0.21245876299659439, 0.8499599729452116), (0.282819828736375, 0.616976644425216, 0.45750716248923645, 0.10388406898090359))), (((0.480212232724941, -0.8937086550918505, -0.6399122280175192, -0.3926739182869949), (0.5866305704975537, 0.37523483543667685, 0.34455787558391154, 0.7468191968550546), (-0.7561559742324413, 0.6618299652906166, 0.5497360987548463, 0.44000411823919794), (0.5489342296514085, 0.33299878380451237, -0.6851907132585857, -0.8837744966993399)), ((0.2449050432846066, 0.7225682113974873, -0.42149169327348723, -0.5241172273711572), (0.7461632214743219, 0.3773660518547119, 0.5911139199924735, 0.12543356040664694), (-0.4374385476373295, -0.7523855940695361, 0.4381969239605094, 0.37308327852970813), (-0.21637181734766117, 0.49874174259134, 0.3912614640116107, 0.4526617072173223)), ((0.7151470272616507, 0.43893562960939475, 0.4654984531602598, 0.026153794290457506), (0.7899612010454996, 0.4349102788459652, 0.7453956466392258, 0.47431536809150776), (0.42979681026390004, -0.571667413005515, 0.608322709782375, 0.4374481254420103), (0.33514856567435775, 0.5877137248653976, 0.9386863487830309, 0.1386415730993477)), ((0.35219579066973905, -0.6168773605138196, 0.40504448843510976, 0.424824210157774), (0.7812627665326543, 0.19452639019667187, 0.6000050187112531, 0.7539670503073901), (0.2981680001911141, 0.5123292320600974, 0.6035479676835969, 0.5180365031497639), (0.4958302538856905, -0.5666881217462356, 0.3057862327558582, 0.16322148534649822))), (((0.5219568172234907, 0.6691120408133714, 0.5415030041267854, 0.5178254487487362), (0.550999473408774, 0.3224491374840088, 0.40632316238837907, 0.5316822545746088), (0.15782246477014253, -0.39011414803016886, 0.5923055243411701, 0.33403984110147705), (0.5476956624940421, 0.353567340179472, 0.7751336150761081, 0.3769351266082521)), ((0.26092129669846587, 0.38531106190825626, 0.43089380185467957, 0.3517745063606868), (0.6068795949566435, -0.7313287811237782, 0.7817415065395071, 0.539725422031037), (-0.4681995762086918, 0.8081081299514932, 0.45349678068383653, 0.1676286251112078), (0.9418725604754995, 0.7388572732026134, 0.44262594936532146, 0.7474149440129483)), ((0.8132968384251593, -0.5972218943821608, -0.5919410574164853, -0.35599895731169406), (0.7520654612132684, 0.45483154483372135, 0.4059225646226807, 0.4001021311571795), (0.241190931159322, 0.8294262552595144, 0.6807436275202874, -0.3970641092078186), (0.41214139959674073, -0.49530207420971023, 0.2603640589059204, -0.5320822386899074)), ((0.4852677073030271, 0.5126350217914364, 0.5251827072400477, 0.4107256987588376), (0.5923200155158566, -0.7301177285915048, -0.774241876159728, 0.6746581037497406), (0.3573798122820507, 0.169636160666647, -0.5725299039287078, 0.23182444091612892), (0.3601137116698788, -0.07438414986800912, -0.4165677125316061, 0.0790530879666291)))) def get_python_input2(self, rank, cplx, no_zeros=False, no_first_arg_negative=False): if not cplx: if rank==0: if no_first_arg_negative: return (-0.22889838791916658,) else: return (-0.22889838791916658,) elif rank==1: if no_first_arg_negative: return (0.49012030903632825, 0.6031662135176437) else: return (-0.49012030903632825, 0.6031662135176437) elif rank==2: if no_first_arg_negative: return ((0.6891705183553265, 0.7417620269931902), (0.5710307758197861, 0.39980890346586717)) else: return ((-0.6891705183553265, 0.7417620269931902), (-0.5710307758197861, 0.39980890346586717)) elif rank==3: if no_first_arg_negative: return (((0.450166488818521, 0.40335229027346475, 0.34323251080578104), (0.2842555722086943, 0.519038548037327, 0.22356691063536377), (0.6233434523085559, 0.6939552082789993, 0.20717775496120844)), ((0.6635014413084468, 0.12427061907674535, 0.4316471005230688), (0.3462206066776269, 0.5812789855981269, 0.1513383660423066), (0.40921125173698586, 0.6302181341512401, 0.4857376224901844)), ((0.5156818720590722, 0.3810418328134193, 0.5228685660307542), (0.44668606111653875, 0.8552520337523355, 0.30378907822454826), (0.572442375071903, 0.13397389728880899, 0.221))) elif no_zeros: return (((0.450166488818521, 0.40335229027346475, -0.34323251080578104), (0.2842555722086943, 0.519038548037327, -0.22356691063536377), (0.6233434523085559, -0.6939552082789993, 0.20717775496120844)), ((0.6635014413084468, -0.12427061907674535, 0.4316471005230688), (-0.3462206066776269, 0.5812789855981269, 0.1513383660423066), (0.40921125173698586, -0.6302181341512401, 0.4857376224901844)), ((-0.5156818720590722, 0.3810418328134193, 0.5228685660307542), (0.44668606111653875, -0.8552520337523355, -0.30378907822454826), (-0.572442375071903, 0.13397389728880899, 0.221))) else: return (((0.450166488818521, 0.40335229027346475, -0.34323251080578104), (0.2842555722086943, 0.519038548037327, -0.22356691063536377), (0.6233434523085559, -0.6939552082789993, 0.20717775496120844)), ((0.6635014413084468, -0.12427061907674535, 0.4316471005230688), (-0.3462206066776269, 0.5812789855981269, 0.1513383660423066), (0.40921125173698586, -0.6302181341512401, 0.4857376224901844)), ((-0.5156818720590722, 0.3810418328134193, 0.5228685660307542), (0.44668606111653875, -0.8552520337523355, -0.30378907822454826), (-0.572442375071903, 0.13397389728880899, 0.))) elif rank==4: if no_first_arg_negative: return ((((0.45433363368861773, 0.6498884169562154, 0.8968304717142223, 0.8907734241559906), (0.4777438965822781, 0.19219763395957137, 0.47760828704065156, 0.099611811950238), (0.28320121503596124, 0.6794412465012807, 0.13188620716114968, 0.40410020187234463), (0.170095604634749, 0.6491679236703396, 0.48405171480791914, 0.48480616171976565)), ((0.40796761374598983, 0.5888935058511742, 0.810959910176321, 0.3519432924326292), (0.6778803492879535, 0.15159482372964073, 0.7609511790213423, 0.4291829232233251), (0.6597430856795399, 0.5416080050562327, 0.7316035149420569, 0.17492295472360206), (0.3585956180854316, 0.4506986634961759, 0.3068624306617866, 0.6450035140643098)), ((0.7690325599562085, 0.6582789850176016, 0.6556413596206179, 0.615423012961261), (0.3947622967482572, 0.3604341682179244, 0.5689343825826134, 0.22003697279869047), (0.6004909191668832, 0.48591852805780483, 0.6670811381503408, 0.33418084981888524), (0.5696228030807892, 0.8349733556806979, 0.08716776292987743, 0.6103200906618154)), ((0.32673151927490685, 0.3650741778596788, 0.4719563946069752, 0.2624495178810215), (0.6911360309172416, 0.629718040535628, 0.37138298773280687, 0.7867876295855086), (0.6768502043234856, 0.32903587935447837, 0.6229889864689531, 0.5226994780805113), (0.6571446582814051, 0.30807025622961254, 0.3025565918384279, 0.5316791314282434))), (((0.7110156690310308, 0.07897654694359649, 0.49671935812956247, 0.15989919493282642), (0.4454758263127157, 0.8468596115253173, 0.4603369168686832, 0.7835562740584727), (0.1973500874759318, 0.6890077016392274, 0.38353764662415646, 0.2602210860778308), (0.3062963684983607, 0.5485723785169033, 0.7558085192193574, 0.7260373711224899)), ((0.6292337309967168, 0.6298019421801468, 0.5769038995707547, 0.805909547222589), (0.2956786092814956, 0.8516163380649984, 0.0433563110406362, 0.5562648421367056), (0.44398600437607083, 0.3132864322653825, 0.1309184523859448, 0.09487956033144461), (0.39347200269496224, 0.6744128343886427, 0.17787462973897294, 0.6844498649820736)), ((0.4668129815805621, 0.46840442065095245, 0.6348701936076414, 0.534532796163385), (0.5401302006866129, 0.42361490419012787, 0.3055178484323608, 0.4099049291060996), (0.15643756091005653, 0.5538397868668722, 0.5793672234228313, 0.5343825930606839), (0.567145595353928, 0.7936293829906991, 0.5159699957715731, 0.11524767048966807)), ((0.46983068856527466, 0.829272105469925, 0.8242448082292821, 0.3155783126108229), (0.46679344399363587, 0.35498575768428703, 0.8195558132407107, 0.044710380043836144), (0.7228682303918399, 0.5956512578344273, 0.5842273233950968, 0.46445592272801267), (0.48424480615111076, 0.43589572454719294, 0.2739525289177576, 0.5141521147948742))), (((0.5353156164778932, 0.827716346014944, 0.2661170502005538, 0.6240217001592496), (0.5889586875315378, 0.6056309378106368, 0.38460210470822326, 0.3257073061066195), (0.38605597818925463, 0.5566287156895975, 0.8868213070850919, 0.10818212758613992), (0.44934219884516874, 0.7722925534790802, 0.6824771465971564, 0.4861304182325704)), ((0.35670465647772914, 0.40563319853724733, 0.9215374519881303, 0.3261075398074149), (0.5466590188369063, 0.8063505325979616, 0.2505468000914572, 0.27573025774136484), (0.743952777599612, 0.5916038948220598, 0.5814331576314142, 0.25330559867360414), (0.9281192928557953, 0.5526121099889816, 0.7663168620517609, 0.27644519542436335)), ((0.4312170339514421, 0.39670998093753257, 0.6147975692316388, 0.49353631380425866), (0.2914782490250003, 0.34495461015075896, 0.724277583477783, 0.7656114513280461), (0.2967100926835535, 0.3708225100005513, 0.4557999563503535, 0.21401134707432434), (0.33196574382892885, 0.6509108525238382, 0.44580359408187276, 0.6130947882235365)), ((0.11173436827791464, 0.6700051363761477, 0.12807937551069665, 0.7174522662954508), (0.40082249771839484, 0.6435832868289147, 0.47429720113534696, 0.44533186804848607), (0.4625441865293232, 0.24229257632548656, 0.655276132353378, 0.27883861657454045), (0.638496711915504, 0.5391658143407168, 0.6794910638048037, 0.18819631783938193))), (((0.49500523167298044, 0.7621808699493068, 0.8002303121407335, 0.4339016426795843), (0.6899502135654372, 0.9438297115207196, 0.39545080237118185, 0.43835240439976453), (0.5324364296711654, 0.7403526206887153, 0.421079060947922, 0.28183735731097076), (0.7641745784203584, 0.8052630361187237, 0.4113425938410049, 0.4873541423815537)), ((0.4763043550807671, 0.8818320340667569, 0.4376950912132615, 0.5155236207246434), (0.4770314956120568, 0.6995239422377975, 0.29342906280323733, 0.2207382366023154), (0.47119152389910457, 0.5643383062697325, 0.19014363807175272, 0.47728067160438753), (0.293549802812087, 0.3091310044125135, 0.8079461149429534, 0.30540675213143226)), ((0.6562012019806969, 0.5762140611417803, 0.8922117406714833, 0.5644163171621817), (0.28018207838767606, 0.6980601983118322, 0.9321643060248082, 0.6857895197253853), (0.30248864387340907, 0.37739756004900193, 0.5011312641768506, 0.19190880686969636), (0.36857760657786354, 0.6980580453947155, 0.4162678161352499, 0.6651932863378893)), ((0.2969663268640197, 0.5012850908098417, 0.5630486821046159, 0.5994825528795871), (0.45367000863631446, 0.24430658191105983, 0.277060548382701, 0.5169546884489187), (0.9278462241176814, 0.5112886572173754, 0.3908093365092602, 0.7815138913982161), (0.32136995201761503, 0.2619940057725135, 0.35043110649096515, 0.9241246395431221)))) else: return ((((0.45433363368861773, 0.6498884169562154, 0.8968304717142223, 0.8907734241559906), (0.4777438965822781, 0.19219763395957137, 0.47760828704065156, 0.099611811950238), (0.28320121503596124, 0.6794412465012807, 0.13188620716114968, 0.40410020187234463), (0.170095604634749, 0.6491679236703396, 0.48405171480791914, -0.48480616171976565)), ((0.40796761374598983, 0.5888935058511742, 0.810959910176321, -0.3519432924326292), (0.6778803492879535, 0.15159482372964073, 0.7609511790213423, -0.4291829232233251), (-0.6597430856795399, 0.5416080050562327, -0.7316035149420569, 0.17492295472360206), (0.3585956180854316, 0.4506986634961759, -0.3068624306617866, 0.6450035140643098)), ((0.7690325599562085, 0.6582789850176016, -0.6556413596206179, 0.615423012961261), (0.3947622967482572, 0.3604341682179244, -0.5689343825826134, -0.22003697279869047), (-0.6004909191668832, 0.48591852805780483, 0.6670811381503408, -0.33418084981888524), (-0.5696228030807892, 0.8349733556806979, 0.08716776292987743, -0.6103200906618154)), ((0.32673151927490685, 0.3650741778596788, 0.4719563946069752, -0.2624495178810215), (-0.6911360309172416, 0.629718040535628, 0.37138298773280687, 0.7867876295855086), (-0.6768502043234856, 0.32903587935447837, 0.6229889864689531, 0.5226994780805113), (-0.6571446582814051, 0.30807025622961254, 0.3025565918384279, 0.5316791314282434))), (((0.7110156690310308, 0.07897654694359649, 0.49671935812956247, 0.15989919493282642), (0.4454758263127157, -0.8468596115253173, -0.4603369168686832, 0.7835562740584727), (0.1973500874759318, -0.6890077016392274, -0.38353764662415646, 0.2602210860778308), (0.3062963684983607, -0.5485723785169033, -0.7558085192193574, 0.7260373711224899)), ((0.6292337309967168, -0.6298019421801468, 0.5769038995707547, 0.805909547222589), (0.2956786092814956, -0.8516163380649984, 0.0433563110406362, 0.5562648421367056), (-0.44398600437607083, -0.3132864322653825, 0.1309184523859448, 0.09487956033144461), (-0.39347200269496224, 0.6744128343886427, -0.17787462973897294, 0.6844498649820736)), ((-0.4668129815805621, 0.46840442065095245, -0.6348701936076414, 0.534532796163385), (0.5401302006866129, 0.42361490419012787, 0.3055178484323608, 0.4099049291060996), (0.15643756091005653, 0.5538397868668722, 0.5793672234228313, 0.5343825930606839), (0.567145595353928, 0.7936293829906991, 0.5159699957715731, -0.11524767048966807)), ((0.46983068856527466, 0.829272105469925, 0.8242448082292821, 0.3155783126108229), (0.46679344399363587, -0.35498575768428703, 0.8195558132407107, 0.044710380043836144), (0.7228682303918399, 0.5956512578344273, 0.5842273233950968, -0.46445592272801267), (0.48424480615111076, -0.43589572454719294, 0.2739525289177576, 0.5141521147948742))), (((0.5353156164778932, -0.827716346014944, 0.2661170502005538, 0.6240217001592496), (0.5889586875315378, -0.6056309378106368, 0.38460210470822326, 0.3257073061066195), (0.38605597818925463, 0.5566287156895975, 0.8868213070850919, -0.10818212758613992), (0.44934219884516874, 0.7722925534790802, 0.6824771465971564, -0.4861304182325704)), ((0.35670465647772914, 0.40563319853724733, 0.9215374519881303, 0.3261075398074149), (0.5466590188369063, 0.8063505325979616, 0.2505468000914572, -0.27573025774136484), (0.743952777599612, -0.5916038948220598, 0.5814331576314142, -0.25330559867360414), (-0.9281192928557953, -0.5526121099889816, 0.7663168620517609, 0.27644519542436335)), ((0.4312170339514421, 0.39670998093753257, 0.6147975692316388, 0.49353631380425866), (0.2914782490250003, 0.34495461015075896, 0.724277583477783, 0.7656114513280461), (0.2967100926835535, -0.3708225100005513, 0.4557999563503535, 0.21401134707432434), (-0.33196574382892885, 0.6509108525238382, 0.44580359408187276, 0.6130947882235365)), ((0.11173436827791464, 0.6700051363761477, 0.12807937551069665, 0.7174522662954508), (0.40082249771839484, -0.6435832868289147, 0.47429720113534696, 0.44533186804848607), (0.4625441865293232, 0.24229257632548656, 0.655276132353378, 0.27883861657454045), (0.638496711915504, 0.5391658143407168, 0.6794910638048037, 0.18819631783938193))), (((0.49500523167298044, -0.7621808699493068, 0.8002303121407335, 0.4339016426795843), (0.6899502135654372, 0.9438297115207196, 0.39545080237118185, 0.43835240439976453), (-0.5324364296711654, -0.7403526206887153, 0.421079060947922, 0.28183735731097076), (0.7641745784203584, -0.8052630361187237, 0.4113425938410049, 0.4873541423815537)), ((0.4763043550807671, 0.8818320340667569, 0.4376950912132615, 0.5155236207246434), (0.4770314956120568, 0.6995239422377975, 0.29342906280323733, 0.2207382366023154), (0.47119152389910457, 0.5643383062697325, 0.19014363807175272, 0.47728067160438753), (0.293549802812087, 0.3091310044125135, 0.8079461149429534, 0.30540675213143226)), ((-0.6562012019806969, -0.5762140611417803, -0.8922117406714833, -0.5644163171621817), (0.28018207838767606, -0.6980601983118322, 0.9321643060248082, -0.6857895197253853), (0.30248864387340907, 0.37739756004900193, -0.5011312641768506, 0.19190880686969636), (-0.36857760657786354, 0.6980580453947155, -0.4162678161352499, 0.6651932863378893)), ((-0.2969663268640197, 0.5012850908098417, -0.5630486821046159, 0.5994825528795871), (-0.45367000863631446, 0.24430658191105983, -0.277060548382701, 0.5169546884489187), (-0.9278462241176814, 0.5112886572173754, -0.3908093365092602, 0.7815138913982161), (-0.32136995201761503, 0.2619940057725135, -0.35043110649096515, 0.9241246395431221)))) else: if rank==0: return (0.22889838791916658j,) elif rank==1: return (-0.49012030903632825, 0.6031662135176437j) elif rank==2: return ((0.6891705183553265, 0.7417620269931902j), (0.5710307758197861j, 0.39980890346586717)) elif rank==3: return ((((0.07547574295591059+0.525876939609691j), (0.6637422951496057+0.7388772645580287j), (-0.11575430357267835+0.3396973817710597j)), ((0.489975174033296-0.7778617185395662j), (-0.8582089062218037+0.7890680975791542j), (-0.34130307486775563+0.3651975276800719j)), ((0.6269390600608432+0.28192633671923134j), (0.6386868409229303+0.8545339974263741j), (0.8227777914187108+0.9768191533988598j))), (((0.3925840042771697+0.8092934421771397j), (0.27266165100309064+0.32623317563034737j), (-0.8740927141261398-0.4161371090973831j)), ((0.6702575659927514-0.450686130655044j), (0.474828305773418+0.7656845168857629j), (0.15253090291865834+0.46008109446176876j)), ((0.6094857432227104+0.5897008435426775j), (0.5134349957841884+0.09305616116877985j), (0.7954114232091216-0.4633804802000654j))), (((-0.29941397426915045-0.666629677984151j), (0.41045211458021535+0.6422008897066637j), (0.7608807908849147-0.2263883386308603j)), ((0.21016378700056504+0.8009138519791235j), (0.10548646537128033+0.43289764157877525j), (0.4083797466047874+0.9040107808706966j)), ((-0.8930070536981469+0.4674003925883036j), (-0.7258863558039299-0.38206684572695093j), (0.40771065599848233+0.14217138669583038j)))) elif rank==4: if no_zeros: return (((((-0.38981592692954015-0.2856117645961309j), (-0.035094151427129905-0.265178716783423j), (-0.34532231395177504+0.36673987839501265j), (0.2041672227930209-0.6128500993893164j)), ((-0.12421070955162938+0.026349493748204833j), (-0.3415725798389704-0.0775430038163134j), (0.17048268853378434-0.08862480715498033j), (-0.1106967683514759-0.10379778205326462j)), ((0.7298716846009465+0.20776829436005195j), (-0.33435577984609854+0.039072521387463754j), (-0.05886662990481739-0.05072122421891534j), (0.18354830862254912+0.4606377888934907j)), ((-0.0767806399525307-0.8221389203690308j), (0.190835818629008+0.16192941104126957j), (0.17778866234180712+0.2584570168682756j), (0.07671782176673747-0.8469237188822869j))), (((-0.35597391704713033+0.25043169560436107j), (0.41228040156904044-0.3258644927079958j), (0.3255845547364652-0.04129891413069664j), (-0.49623171650577047-0.28943245984704047j)), ((-0.29908631455896795+0.32223868604261874j), (0.22549183711675158-0.07473853585711632j), (0.8473949873724411-0.1266457939975455j), (-0.28218966494496867-0.7447571699002506j)), ((0.43626155573856107-0.22452973659230602j), (-0.13852005024639502-0.2549763508471894j), (0.40223991129540115+0.6286067642439117j), (0.05222020648272985+0.36124142226658207j)), ((-0.5521041254588972+0.04526366394953618j), (0.028005364473586924+0.664136776905772j), (0.19982797953123066+0.6970088780138949j), (-0.27592458615859916+0.05358189338835073j))), (((-0.01401304893255595-0.2592802467152746j), (0.38457288044239724+0.022898781579736238j), (0.11747849077927963+0.02982853498608895j), (0.43510885272308897-0.5971898990476139j)), ((-0.1386049812442307+0.48221564332109246j), (0.12985640511010177-0.46733815759024744j), (0.36035270943159226+0.030123486580092673j), (0.13433570628907954-0.3548300324692315j)), ((0.3630171981969085-0.10489930496648125j), (-0.19285139550925268-0.22152540990095826j), (0.067448080460355-0.22485851852233463j), (-0.22642725802173436-0.8030852201557207j)), ((-0.4923572157490467+0.6941947968511506j), (-0.3083492643827028-0.21029535607801164j), (0.04516826032767807+0.16347006444443446j), (-0.4979722425636467+0.2600475135508704j))), (((-0.9146464795838944-0.4811995164563062j), 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(0.11015974132120787+0.034078789456797876j)), ((-0.802973040360448+0.25982604363200634j), (0.4470120196869066+0.1070242653063358j), (-0.17139489854864864+0.280001955020894j), (0.481238612220953-0.1754485899809457j)), ((-0.2395451407327337+0.17708193346527168j), (-0.5161417899394428-0.1119365768848799j), (0.48501626047241986+0.14129638224677343j), (-0.8906342486796647+0.5959903703773012j))), (((0.4573784894991153+0.5594852951634348j), (0.5713680069309577-0.5494425630562785j), (0.08288855869575895-0.46808758933789407j), (0.0881202973963836+0.030710301266941187j)), ((-0.06642229051907478-0.22323447873665903j), (-0.7628208743574287-0.6371785162956514j), (-0.2246568157836294+0.3567254755305702j), (0.68327814761898-0.27973991174997725j)), ((0.2784159984258674-0.17498289569648884j), (0.004730953615886158+0.07715287138774296j), (0.0773670863004613-0.6360012413426752j), (-0.0647551047878423+0.6906328131396173j)), ((0.558480058973719-0.04481293285577537j), (0.09684530531415203-0.40763537195877164j), (-0.3913240230298858-0.004438441098584933j), (0.031510290166036015-0.30876711061254836j))), (((-0.588734853251181+0.36452828173265184j), (-0.19810928581934018+0.20823750547135322j), (-0.45274761144312026-0.17983105119023213j), (-0.11229734410645587+0.2560770621269597j)), ((-0.4038055786345742+0.7025954299708754j), (0.6537842056064525-0.34973368012330475j), (0.35464537317028266-0.21682856487173952j), (-0.01815814374546676+0.4718839114346507j)), ((-0.36336965745600625+0.3759504695343794j), (0.2248053726148399+0.22029644112859348j), (-0.09064428722611384-0.08254509314972736j), (0.12418920854260185-0.5471431985662905j)), ((-0.5200354642412095+0.5425236434272582j), (0.4144201383368241-0.03221161184797661j), (0.10973679214385457+0.2887677216157485j), (0.8119344460935665-0.3782880124387231j))), (((0.5132990185785542+0.1269895435922086j), (-0.8779926345719881-0.5240101078639017j), (-0.1083296281261924-0.8147529275948924j), (0.09647199912137994+0.6723852222785147j)), ((0.2928885382594636-0.17353985395496885j), (-0.21364153320667634-0.03557466867344006j), (0.09421518259275086+0.6153556681629657j), (0.42459824192798623-0.17443990666881448j)), ((-0.5143367641601848-0.474941950841561j), (-0.2759320986482162-0.8250929199965524j), (0.21922685784092444-0.5600860240181191j), (-0.8569179028983865-0.16482185283148332j)), ((0.5268959167118139+0.55401274233894j), (0.08678495563788746-0.11915652486681427j), (-0.35416282616502737-0.4847172453257278j), (0.17111904837721448-0.8480796973331977j)))), ((((0.5469697524334143+0.02787502521930041j), (0.2605342686105838-0.0738711527960102j), (-0.39955538445037275-0.37613379994879603j), (-0.013180544897028024-0.5858094274207383j)), ((0.2506641890300212-0.1324021828426094j), (0.2972858012659867+0.21562443620437732j), (-0.6161716236733459-0.16509522040718683j), (-0.18102929570881354-0.6067237673008904j)), ((-0.13192637373724614-0.6510388019746922j), 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(0.7110044208850719-0.0260275339943824j), (0.33195949443404427-0.060726068233408204j), (-0.24054180926541135-0.22750131116864736j)))), ((((-0.19779207637655705-0.06170675636552225j), (0.24801124896429994+0.52301594517833j), (0.3359762170142643+0.006887001901350498j), (-0.5044830473838094-0.023633199563395157j)), ((0.35936388285588383-0.12044000986333014j), (0.06567318357927132+0.23081033720558908j), (-0.006063340342035706-0.43355358359223595j), (0.560747142959132-0.019735739750161296j)), ((0.16778778206380363+0.4393001381475511j), (-0.19115676223578515+0.023171844709636735j), (-0.10056678281864495+0.11175155826135519j), (-0.24878623491611496+0.8172452900981119j)), ((-0.4955653304024539-0.35864956392371916j), (-0.002728871185003978+0.3416061368260671j), (0.12387109110953831-0.2654493686440327j), (0.10889405520664741+0.1218720709206873j))), (((0.07498012788575437+0.251986782960711j), (0.3511927502553568+0.27907917288389616j), (-0.6319086362942079-0.11628342415274562j), (-0.02365411536311457+0.7887319952841338j)), ((0.38406832355686993+0.03416295519609358j), (0.35717793709754475+0.7751423080742306j), (0.29135030536626805+0.15668909755462013j), (0.14503883313378096-0.030524299930524523j)), ((0.3331132451297607-0.03848385697279688j), (0.0750244753960323+0.10077551583585709j), (-0.15490975501427928-0.1798249796504282j), (0.9066796997830194-0.6602275207883976j)), ((0.1471293723064081+0.10463425812772786j), (-0.5961028228889094+0.5480663905625878j), (0.0026089287349913004-0.5747699075005761j), (0.2899525342736272+0.1268195775198908j))), (((-0.13364076045805806-0.17688339222579297j), (0.6013848685157083+0.3493674941578545j), (0.22523028276047052-0.21939576800830496j), (0.09111222639027305+0.7894981102504295j)), ((0.6016850426953799+0.043886903791527376j), (-0.5060405108831854-0.5381151561460222j), (-0.4760569419146623+0.40666832623996363j), (-0.5318516495722876+0.16837803612551516j)), ((0.024034551466941778-0.2166311876229967j), (0.26494031063742085-0.002375780112287895j), (-0.4730046544996984+0.6644551176991773j), (-0.39157195926624855+0.6199256868216445j)), ((-0.04324867778353203-0.08087976286625231j), (0.1578599942534593-0.5156287674297576j), (-0.15005517462767193-0.09424179596026594j), (-0.13944975064956378-0.17543248499412656j))), (((-0.5648616238096438+0.46394478768979586j), (-0.41003938415951235-0.33614785565882677j), (-0.3893130130095368+0.05645367151196268j), (0.3821121473593535+0.17991382827274327j)), ((-0.5139083991747512+0.789121431720947j), (-0.6171117805874629+0.3660741433822048j), (0.05303400234375011+0.5094418060177022j), (-0.3545806168076585+0.4629656377266379j)), ((0.2658032276104465+0.4237937984173149j), (0.18183157447480658+0.06623748664233398j), (0.12546831548404336-0.10575754034359075j), (-0.6833387940577664+0.23947306785979094j)), ((-0.20503554348285624+0.21628529049971312j), (0.23649982943904524-0.6159980174662008j), (-0.20651357702330975+0.08458167450189069j), (0.j))))) def get_python_input3(self, rank, cplx, no_first_arg_negative=False, no_zeros=False): if not cplx: if rank==0: return (0.37126864363799594,) elif rank==1: return (0.6234908821535466, 0.6138798448505429) elif rank==2: return ((0.46458697075264, 0.47521353725342), (0.2769991834092879, 0.7655903776259643)) elif rank==3: if no_first_arg_negative: return (((0.7087306338233754, 0.5091993546185136, 0.7823132790082358), (0.7809687239325918, 0.7618301393180559, 0.13846012311583666), (0.24584408982123662, 0.30175410391822816, 0.6508820239463049)), ((0.0799357328507963, 0.4268164046934606, 0.3340669557843154), (0.5352665915599666, 0.4796035531201281, 0.31521200922735726), (0.6181927127971525, 0.5813500010909463, 0.6485259530707308)), ((0.607591622470962, 0.5134390179382666, 0.7761053727330762), (0.30315911281007185, 0.7772739725828741, 0.21981237010097954), (0.5720780258224234, 0.7199923733581466, 0.8038912730779739))) else: return (((-0.7087306338233754, 0.5091993546185136, 0.7823132790082358), (0.7809687239325918, -0.7618301393180559, 0.13846012311583666), (0.24584408982123662, -0.30175410391822816, -0.6508820239463049)), ((0.0799357328507963, 0.4268164046934606, -0.3340669557843154), (-0.5352665915599666, -0.4796035531201281, -0.31521200922735726), (0.6181927127971525, 0.5813500010909463, 0.6485259530707308)), ((-0.607591622470962, 0.5134390179382666, -0.7761053727330762), (0.30315911281007185, -0.7772739725828741, 0.21981237010097954), (0.5720780258224234, -0.7199923733581466, -0.8038912730779739))) elif rank==4: if no_first_arg_negative: return ((((0.45368972429803434, 0.43658224238126836, 0.327332664787118, 0.1659399779578305), (0.5908203393014015, 0.6287596060266886, 0.26557881193403204, 0.7640693855123928), (0.6550472925659366, 0.4051939492486867, 0.39695234748477226, 0.7984350907853707), (0.45152587205177463, 0.6915126698433964, 0.1408991785923076, 0.5555466803377823)), ((0.7111217974645967, 0.22442551434498154, 0.33601178864915354, 0.21277504641255832), (0.10220061513651632, 0.4523774178793611, 0.4079018667540423, 0.909554257065248), (0.6139494095517375, 0.3083569476979329, 0.6376629339543685, 0.28647430781873456), (0.36486444793373635, 0.3134770531471723, 0.19207850462685053, 0.2742209367740796)), ((0.5206089841634276, 0.24952538894537638, 0.0933758645493489, 0.24304014487798284), (0.2039225828898289, 0.423378042043955, 0.21847415387885974, 0.4823494123271024), (0.49781756385165377, 0.42765522168555026, 0.4737414300227722, 0.5398374124738391), (0.2640617374368053, 0.34880253282719476, 0.32357380359477705, 0.7111559522372015)), ((0.23761918672652063, 0.1593578505403827, 0.6530063992033186, 0.9079894778799892), (0.8250545394400823, 0.4861804550261372, 0.3406365725750848, 0.42480466462889144), (0.47203132507512685, 0.20818156589620632, 0.20161698569028383, 0.42806013456132413), (0.7792675299565863, 0.3736959703075082, 0.19761992623295196, 0.4235372420916027))), (((0.6459817009885405, 0.2610419659851719, 0.39888588458573665, 0.6358114313716404), (0.6789108524310596, 0.4760144991501489, 0.5132407231875976, 0.7445121079875354), (0.3165090047475903, 0.1882290433512482, 0.30270840337500193, 0.4773827304127968), (0.27248041023839426, 0.5356669773887297, 0.5759298824759524, 0.27026295067501754)), ((0.2225815420544881, 0.6296933698530776, 0.6420994781708316, 0.5292910401325328), (0.4838814244753861, 0.3015763358329324, 0.5966105067811018, 0.437555952383517), (0.2508886824465943, 0.3688703869280175, 0.44848941714873286, 0.6968286221703255), (0.7458127375857659, 0.5565367320025696, 0.5221639609134333, 0.5043229193744858)), ((0.2704586652152375, 0.23622061144754075, 0.5668874045788246, 0.7383427762361463), (0.3326338826927772, 0.5180692401299339, 0.6853188934444896, 0.5105611442225273), (0.32729714889258044, 0.7634733351662765, 0.2667323956085834, 0.3813499428619923), (0.707758750914661, 0.23317899979615478, 0.6728060312412778, 0.5045011288076484)), ((0.2758755420358796, 0.6849112850328907, 0.7208465949939953, 0.5465246847493163), (0.5382081700827642, 0.4626841039902129, 0.38537277159039474, 0.5918003106653552), (0.7410792569612943, 0.848695963275266, 0.35215371840141596, 0.7859807920638692), (0.439754658119384, 0.09885040884202281, 0.20324265625602897, 0.6393707779383961))), (((0.45932643067605416, 0.4867064483724215, 0.2492845750953945, 0.4071869028109893), (0.518352199566693, 0.6265341328104177, 0.5719047743470251, 0.8284284690707643), (0.1255527780884896, 0.133522460155736, 0.5939516968011829, 0.6970674969748756), (0.821986273583169, 0.3881563859122813, 0.16941736964779366, 0.288738726812057)), ((0.48102730273877786, 0.1522385344365771, 0.5752150637264031, 0.39522973755221524), (0.732520712427958, 0.49190588963815157, 0.6125760080831428, 0.2716702847832281), (0.8159103581398756, 0.34507912842082983, 0.7075657623779936, 0.29530894172611916), (0.5278442353318813, 0.6539972004065213, 0.48897529954240776, 0.7932403888940815)), ((0.831358889394934, 0.48050345824229945, 0.6410388202892018, 0.8982570057418652), (0.30388123939085465, 0.727912073121657, 0.543834760379716, 0.6710456332208439), (0.4417259323277584, 0.5717441377950038, 0.3664067245442036, 0.3280925201821242), (0.5400907637568426, 0.43207844188064887, 0.732946675152238, 0.5339092194505695)), ((0.22369526225631464, 0.5665529520090573, 0.2653373517286637, 0.6914637769007175), (0.22138531453529892, 0.17362665833183274, 0.11873401018627547, 0.48731998406078203), (0.5508721228465998, 0.3492961556670177, 0.5692351404720578, 0.5107492266892075), (0.17584863513461835, 0.35755945941346623, 0.7650117785966029, 0.48316674832514844))), (((0.2982202413301988, 0.2348830652298031, 0.3114442699257422, 0.20218169729319738), (0.6846710473822368, 0.8119003553529898, 0.1790804504032915, 0.4781252356617314), (0.3766941501672641, 0.5437027703705374, 0.24423050827666176, 0.3323763024031741), (0.8189980567608663, 0.5888920746029481, 0.17138276940268463, 0.5475256795584624)), ((0.4569907243510988, 0.5255497422421722, 0.1680676291815795, 0.2879601796868399), (0.5419471765149858, 0.8765158329632898, 0.21847500231364173, 0.6219663103942495), (0.8993300494227338, 0.5256551743041176, 0.4312579142909404, 0.28503463714017396), (0.6601304123050094, 0.9681225089321629, 0.6110831795473397, 0.630733896684101)), ((0.7252549854189686, 0.48905018110325815, 0.3949054499635516, 0.6883221515509466), (0.3510020242244332, 0.5964593467774927, 0.665927090247577, 0.19851750424804993), (0.49702295298466764, 0.32952301722148614, 0.6578112215358343, 0.629875436683738), (0.5228582859488041, 0.48834135369831744, 0.8107618558028835, 0.012956020032133924)), ((0.3966015859408982, 0.19901168720580728, 0.6930890007374754, 0.7839579709117346), (0.8623235889093344, 0.5661301336086426, 0.6547115325958021, 0.6689861941430038), (0.5105113993916237, 0.7066840336625683, 0.8004786600943815, 0.5266845579213677), (0.689553296868146, 0.773301352126767, 0.7364812118860565, 0.5377502245784462)))) else: return ((((0.45368972429803434, 0.43658224238126836, 0.327332664787118, 0.1659399779578305), (0.5908203393014015, 0.6287596060266886, 0.26557881193403204, 0.7640693855123928), (0.6550472925659366, 0.4051939492486867, 0.39695234748477226, 0.7984350907853707), (0.45152587205177463, -0.6915126698433964, -0.1408991785923076, 0.5555466803377823)), ((-0.7111217974645967, 0.22442551434498154, 0.33601178864915354, 0.21277504641255832), (0.10220061513651632, 0.4523774178793611, 0.4079018667540423, -0.909554257065248), (0.6139494095517375, 0.3083569476979329, 0.6376629339543685, -0.28647430781873456), (-0.36486444793373635, 0.3134770531471723, 0.19207850462685053, 0.2742209367740796)), ((0.5206089841634276, 0.24952538894537638, 0.0933758645493489, 0.24304014487798284), (0.2039225828898289, 0.423378042043955, 0.21847415387885974, 0.4823494123271024), (0.49781756385165377, 0.42765522168555026, -0.4737414300227722, -0.5398374124738391), (0.2640617374368053, 0.34880253282719476, 0.32357380359477705, -0.7111559522372015)), ((0.23761918672652063, 0.1593578505403827, 0.6530063992033186, 0.9079894778799892), (-0.8250545394400823, 0.4861804550261372, -0.3406365725750848, 0.42480466462889144), (0.47203132507512685, 0.20818156589620632, 0.20161698569028383, 0.42806013456132413), (0.7792675299565863, 0.3736959703075082, 0.19761992623295196, 0.4235372420916027))), (((0.6459817009885405, 0.2610419659851719, 0.39888588458573665, 0.6358114313716404), (0.6789108524310596, 0.4760144991501489, 0.5132407231875976, -0.7445121079875354), (-0.3165090047475903, 0.1882290433512482, -0.30270840337500193, 0.4773827304127968), (0.27248041023839426, 0.5356669773887297, -0.5759298824759524, 0.27026295067501754)), ((0.2225815420544881, 0.6296933698530776, 0.6420994781708316, 0.5292910401325328), (0.4838814244753861, 0.3015763358329324, 0.5966105067811018, 0.437555952383517), (0.2508886824465943, -0.3688703869280175, 0.44848941714873286, 0.6968286221703255), (0.7458127375857659, 0.5565367320025696, -0.5221639609134333, -0.5043229193744858)), ((0.2704586652152375, 0.23622061144754075, 0.5668874045788246, -0.7383427762361463), (0.3326338826927772, -0.5180692401299339, 0.6853188934444896, -0.5105611442225273), (0.32729714889258044, 0.7634733351662765, 0.2667323956085834, 0.3813499428619923), (-0.707758750914661, 0.23317899979615478, -0.6728060312412778, -0.5045011288076484)), ((-0.2758755420358796, -0.6849112850328907, 0.7208465949939953, 0.5465246847493163), (0.5382081700827642, 0.4626841039902129, 0.38537277159039474, -0.5918003106653552), (0.7410792569612943, -0.848695963275266, -0.35215371840141596, 0.7859807920638692), (0.439754658119384, -0.09885040884202281, -0.20324265625602897, 0.6393707779383961))), (((0.45932643067605416, 0.4867064483724215, -0.2492845750953945, 0.4071869028109893), (0.518352199566693, 0.6265341328104177, 0.5719047743470251, -0.8284284690707643), (0.1255527780884896, -0.133522460155736, 0.5939516968011829, 0.6970674969748756), (0.821986273583169, 0.3881563859122813, 0.16941736964779366, -0.288738726812057)), ((0.48102730273877786, 0.1522385344365771, 0.5752150637264031, 0.39522973755221524), (-0.732520712427958, -0.49190588963815157, 0.6125760080831428, 0.2716702847832281), (-0.8159103581398756, 0.34507912842082983, 0.7075657623779936, 0.29530894172611916), (0.5278442353318813, -0.6539972004065213, -0.48897529954240776, 0.7932403888940815)), ((0.831358889394934, 0.48050345824229945, -0.6410388202892018, 0.8982570057418652), (0.30388123939085465, 0.727912073121657, -0.543834760379716, -0.6710456332208439), (0.4417259323277584, -0.5717441377950038, 0.3664067245442036, 0.3280925201821242), (-0.5400907637568426, 0.43207844188064887, -0.732946675152238, -0.5339092194505695)), ((-0.22369526225631464, 0.5665529520090573, 0.2653373517286637, 0.6914637769007175), (0.22138531453529892, 0.17362665833183274, 0.11873401018627547, 0.48731998406078203), (0.5508721228465998, -0.3492961556670177, -0.5692351404720578, 0.5107492266892075), (0.17584863513461835, -0.35755945941346623, 0.7650117785966029, 0.48316674832514844))), (((0.2982202413301988, 0.2348830652298031, 0.3114442699257422, -0.20218169729319738), (0.6846710473822368, -0.8119003553529898, 0.1790804504032915, 0.4781252356617314), (-0.3766941501672641, 0.5437027703705374, -0.24423050827666176, 0.3323763024031741), (0.8189980567608663, -0.5888920746029481, 0.17138276940268463, 0.5475256795584624)), ((0.4569907243510988, 0.5255497422421722, -0.1680676291815795, -0.2879601796868399), (0.5419471765149858, 0.8765158329632898, -0.21847500231364173, 0.6219663103942495), (0.8993300494227338, 0.5256551743041176, 0.4312579142909404, -0.28503463714017396), (-0.6601304123050094, 0.9681225089321629, 0.6110831795473397, 0.630733896684101)), ((0.7252549854189686, -0.48905018110325815, 0.3949054499635516, 0.6883221515509466), (0.3510020242244332, 0.5964593467774927, -0.665927090247577, -0.19851750424804993), (0.49702295298466764, -0.32952301722148614, 0.6578112215358343, 0.629875436683738), (0.5228582859488041, 0.48834135369831744, -0.8107618558028835, 0.012956020032133924)), ((-0.3966015859408982, 0.19901168720580728, 0.6930890007374754, 0.7839579709117346), (0.8623235889093344, 0.5661301336086426, -0.6547115325958021, -0.6689861941430038), (-0.5105113993916237, 0.7066840336625683, 0.8004786600943815, 0.5266845579213677), (0.689553296868146, -0.773301352126767, -0.7364812118860565, 0.5377502245784462)))) else: if rank==0: return (0.37126864363799594j,) elif rank==1: return (-0.6234908821535466, -0.6138798448505429j) elif rank==2: return ((0.46458697075264j, 0.47521353725342), (-0.2769991834092879j, 0.7655903776259643)) elif rank==3: return ((((0.1454277130999836-0.7320274919853249j), (0.6111728482069096+0.3264747748994178j), (-0.5638648912195857-0.17450334170489668j)), ((0.36745011107568193-0.36335598004419434j), (0.17683177117302507+0.17980667188917787j), (0.1975971229124449+0.4658291218212517j)), ((-0.2014605099933947+0.2948257187520392j), (-0.744292187546457-0.06353546214852701j), (0.5315307768500955+0.20979695600906234j))), (((0.6658801836076347-0.5765177344716341j), (0.49015610705744417-0.5133880244308395j), (-0.1502312930208003+0.1561733784845012j)), ((-0.661348002857287-0.029644750992120383j), (0.006584637699976192-0.4781943559540154j), (0.12266084950784173+0.46542904661542706j)), ((-0.41697557600280255-0.3537461357888442j), (0.26272750067625794-0.43630595153076535j), (-0.21367481541695688-0.2618183771588106j))), (((-0.22338538892626414-0.10818049912878436j), (-0.040383727106552136+0.48764341091162444j), (0.014766392396017403+0.8223651913211714j)), ((0.003228290936111433-0.37610619147220625j), (-0.01103811298925661-0.39851348234329986j), (0.20163130848248234-0.49523755760391885j)), ((0.37812723691663375+0.354147330172629j), (0.08116710042198705+0.1643297763093502j), (0.015047687899757523-0.05023160033399521j)))) elif rank==4: return ((((0.45368972429803434, 0.43658224238126836j, 0.327332664787118, 0.1659399779578305), (0.5908203393014015, 0.6287596060266886, 0.26557881193403204, 0.7640693855123928), (0.6550472925659366, 0.4051939492486867, 0.39695234748477226, 0.7984350907853707), (0.45152587205177463, 0.6915126698433964, 0.1408991785923076, 0.5555466803377823)), ((0.7111217974645967, -0.224425514+0.12j, -0.336011788-0.35j, 0.21277504641255832), (0.10220061513651632, 0.4523774178793611, 0.4079018667540423, 0.909554257065248), (0.6139494095517375, 0.3083569476979329, 0.6376629339543685, 0.28647430781873456), (0.36486444793373635, -0.31347705-0.8765j, 0.19207850462685053, 0.2742209367740796)), ((0.5206089841634276, 0.24952538894537638, 0.0933758645493489, 0.24304014487798284), (-0.2039225828898289, 0.423378042043955, 0.21847415387885974, 0.4823494123271024), (0.49781756385165377, 0.42765522168555026j, 0.4737414300227722, 0.5398374124738391), (0.2640617374368053, 0.34880253282719476, 0.32357380359477705, 0.7111559522372015)), ((0.23761918672652063, -0.1593578505403827, 0.6530063992033186, 0.9079894778799892), (0.8250545394400823, 0.4861804550261372, 0.3406365725750848, 0.42480466462889144), (0.47203132507512685, 0.20818156589620632, 0.20161698569028383, 0.42806013456132413), (0.7792675299565863, -0.3736959703075082, -0.19761992623295196, 0.4235372420916027))), (((0.6459817009885405, 0.2610419659851719, -0.39888588458573665, 0.6358114313716404), (0.6789108524310596, 0.4760144991501489, 0.5132407231875976, 0.7445121079875354), (0.3165090047475903, 0.1882290433512482, 0.30270840337500193, 0.4773827304127968), (0.27248041023839426, 0.5356669773887297, 0.5759298824759524, 0.27026295067501754)), ((-0.2225815420544881, 0.6296933698530776, 0.6420994781708316, 0.5292910401325328), (0.4838814244753861, 0.3015763358329324, 0.5966105067811018, 0.437555952383517), (0.2508886824465943, 0.3688703869280175j, 0.44848941714873286, 0.6968286221703255), (0.7458127375857659, 0.5565367320025696, 0.5221639609134333, 0.5043229193744858)), ((0.2704586652152375, 0.23622061144754075, 0.5668874045788246, 0.7383427762361463), (0.3326338826927772, 0.5180692401299339, -0.6853188934444896, 0.5105611442225273), (0.32729714889258044, 0.7634733351662765, 0.2667323956085834, 0.3813499428619923), (0.707758750914661, 0.23317899979615478, 0.6728060312412778, 0.5045011288076484)), ((0.2758755420358796, 0.6849112850328907, 0.7208465949939953, 0.5465246847493163), (0.5382081700827642, 0.4626841039902129, 0.38537277159039474, 0.5918003106653552), (0.7410792569612943, 0.848695963275266, 0.35215371840141596, 0.7859807920638692), (0.439754658119384, 0.09885040884202281, 0.20324265625602897, 0.6393707779383961))), (((0.45932643067605416, 0.4867064483724215, 0.2492845750953945, 0.4071869028109893), (0.518352199566693, 0.6265341328104177, 0.5719047743470251, 0.8284284690707643), (0.1255527780884896, 0.133522460155736, 0.5939516968011829, 0.6970674969748756), (0.821986273583169, 0.3881563859122813, 0.16941736964779366, 0.288738726812057)), ((0.48102730273877786, 0.1522385344365771, 0.5752150637264031, 0.39522973755221524), (0.732520712427958, 0.49190588963815157, 0.6125760080831428, 0.2716702847832281), (0.8159103581398756, 0.34507912842082983, 0.7075657623779936, 0.29530894172611916), (0.5278442353318813, 0.6539972004065213, 0.48897529954240776, 0.7932403888940815)), ((0.831358889394934, 0.48050345824229945, 0.6410388202892018, 0.8982570057418652), (0.30388123939085465, 0.727912073121657, 0.543834760379716, 0.6710456332208439), (0.4417259323277584, 0.5717441377950038, 0.3664067245442036, 0.3280925201821242), (0.5400907637568426, 0.43207844188064887, 0.732946675152238, 0.5339092194505695)), ((0.22369526225631464, 0.5665529520090573, 0.2653373517286637, 0.6914637769007175), (0.22138531453529892, 0.17362665833183274, 0.11873401018627547, 0.48731998406078203), (0.5508721228465998, 0.3492961556670177, 0.5692351404720578, 0.5107492266892075), (0.17584863513461835, 0.35755945941346623, 0.7650117785966029, 0.48316674832514844))), (((0.2982202413301988, 0.2348830652298031, 0.3114442699257422, 0.20218169729319738), (0.6846710473822368, 0.8119003553529898, 0.1790804504032915, 0.4781252356617314), (0.3766941501672641, 0.5437027703705374, 0.24423050827666176, 0.3323763024031741), (0.8189980567608663, 0.5888920746029481, 0.17138276940268463, 0.5475256795584624)), ((0.4569907243510988, 0.5255497422421722, 0.1680676291815795, 0.2879601796868399), (0.5419471765149858, 0.8765158329632898, 0.21847500231364173, 0.6219663103942495), (0.8993300494227338, 0.5256551743041176, 0.4312579142909404, 0.28503463714017396), (0.6601304123050094, 0.9681225089321629, 0.6110831795473397, 0.630733896684101)), ((0.7252549854189686, 0.48905018110325815, 0.3949054499635516, 0.6883221515509466), (0.3510020242244332, 0.5964593467774927, 0.665927090247577, 0.19851750424804993), (0.49702295298466764, 0.32952301722148614, 0.6578112215358343, 0.629875436683738), (0.5228582859488041, 0.48834135369831744, 0.8107618558028835, 0.012956020032133924)), ((0.3966015859408982, 0.19901168720580728, 0.6930890007374754, 0.7839579709117346), (0.8623235889093344, 0.5661301336086426, 0.6547115325958021, 0.6689861941430038), (0.5105113993916237, 0.7066840336625683, 0.8004786600943815, 0.5266845579213677), (0.689553296868146j, 0.773301352126767j, 0.7364812118860565j, 0.5377502245784462)))) def get_python_input4(self, rank, cplx): if not cplx: if rank==0: return (0.9153151043823012,) elif rank==1: return (-0.5162647246320071, -0.06342374260616546) elif rank==2: return ((0.7011839736500342, 0.625639950892529), (-0.17902320165992758, -0.049498389409131205)) elif rank==3: return (((0.008309531806355519, 0.22817074073669497, 0.7216964601946423), (0.33084432155377397, -0.48472374994936485, 0.4116921963539759), (0.0257088350105531, -0.2370277105296692, 0.3798801329452163)), ((0.01734050560720546, 0.16286702001136155, -0.6501064087150703), (0.02818311904325488, -0.4169901835040347, 0.4086136135582773), (0.5627838019596704, -0.16279418267275847, 0.581645077262897)), ((0.6948207132066607, 0.23541367609085884, -0.4228977230091847), (0.3216823894305869, 0.37129093662137924, -0.7134833270353387), (0.710538786928389, -0.08441890458925416, -0.458946120570603))) elif rank==4:((((0.37235501675945715, 0.11714100415866135, -0.034600745840691394, -0.15554835015413082), (0.47232144877941096, 0.07592804193006697, 0.3405294503824112, 0.21948666128556615), (-0.5332861513294131, -0.08886798656259431, -0.6083217502772487, 0.2316612945607922), (0.5258922230225587, 0.08708823651373188, 0.4234306811212821, -0.04179959817125434)), ((-0.3035688394279197, 0.49483554648710537, 0.05745994060999282, -0.12747381808333336), (0.39332214767836104, 0.46534190633912254, 0.04365690803996003, 0.7650379849598341), (0.1999985251338784, 0.0842829190391805, -0.16877153378631293, 0.31704188690973756), (-0.329887201245436, -0.6511923884088605, -0.6220851080992487, -0.8494734189039839)), ((-0.3231756242543622, -0.554464792835363, 0.4522418958171174, 0.7395807541527681), (0.5498904829451162, -0.05590161752080769, 0.4965321688385663, 0.5728276202033591), (0.5272647821134722, 0.5774470894044734, -0.12581800958739708, 0.9700828208339976), (0.2893640797543078, -0.5484780137131635, 0.9149540829219327, -0.4070409332163506)), ((0.8068861149817737, -0.08739646094657716, 0.15604945884485388, 0.2159877611783666), (-0.08757552786227041, -0.5362091498098354, 0.1379626847994988, -0.02263864637679258), (-0.05403837215914031, 0.6570928483791509, -0.014539560837078191, 0.1353955668770478), (-0.033528144292161, -0.471223531770967, -0.012087259265455508, -0.4443704288092061))), (((0.12815286370127177, 0.08288774005977806, -0.6591909957174392, -0.3227689715877514), (-0.1560371012493621, 0.04563397602135244, 0.18608455069144747, -0.23618249688069137), (-0.1857379168928618, -0.6112258715631804, 0.257168970542067, 0.46862986167858467), (0.8134511475542548, -0.2930500911112336, 0.31803040987546893, -0.1662974948326531)), ((0.09994879483867802, 0.11656104212951102, 0.24567744809079017, 0.2466674448155779), (0.10560598300537649, 0.5594223586687221, -0.269996887150316, -0.006724786299250773), (0.2494899758063036, -0.25302027094976054, 0.5346069245538014, 0.9394209073288707), (0.4895739925732161, -0.6973902811154304, -0.04576531668146877, -0.05978124614419089)), ((-0.4225874457751645, 0.06851122980870317, -0.12558552929455635, -0.059065175364745315), (-0.5869469247109007, -0.4166268018632071, -0.17595117034871932, 0.34489468842970006), (0.19428688924434412, -0.4410298941561428, -0.07610953060207504, 0.2917329578363864), (-0.3087834675004315, -0.5017232119230198, 0.6463307399810825, -0.0997023137687646)), ((-0.3721359342866154, 0.012800610965129966, -0.026147073121323694, 0.249394864255974), (-0.19732520391810227, 0.6877652212967196, 0.09328828976651427, -0.6510049138630607), (-0.4848547986972145, -0.35735976033028827, 0.09165186856904783, -0.40982007152443234), (-0.574914716311232, -0.6488293490765211, 0.4883180795650498, -0.15158507647269426))), (((0.5708514963046316, -0.21247793529126768, 0.11030963705086905, -0.4353799184220226), (0.37323818315312085, -0.10788816216228836, -0.16605325912656543, 0.6104874356554703), (-0.30847384861896465, -0.16679636365155348, 0.5922642783564169, 0.07864692847157684), (0.2791875133546827, 0.09496780294295215, -0.45316050025403876, -0.1610271603413973)), ((-0.42706418878716035, 0.2928066574998388, 0.571174679676169, -0.14560760969133357), (0.9643430182032757, -0.008481138733699822, 0.39800339772985893, -0.7013700291692165), (0.8355714997095827, -0.624788527855067, 0.05466250391400629, -0.9509878285060569), (-0.0973807062547889, -0.5407506278578577, 0.09210951353229235, 0.154379276954291)), ((0.020599999927309876, -0.27945772586433815, -0.4172996686676522, -0.01634325308254314), (0.20212191256900158, 0.21234576281878903, -0.639142180879022, 0.5580272378144776), (0.010545335242685194, 0.29112493809527284, 0.018635172247521647, -0.06613029570794826), (0.155833422371511, -0.09759470769513245, -0.03063166472236889, -0.05428014538371495)), ((0.23577186821185425, 0.1500579314912276, -0.3132878838809129, -0.1097762446447772), (0.6269933317054381, 0.6145430525526924, -0.10380848715617585, -0.06442945507207776), (0.2787614779979213, -0.7358725127577144, 0.20796477034679672, -0.23780046049837644), (0.9267282798589614, 0.16997001112351162, -0.5282983087375479, 0.36538217505303483))), (((-0.8579510472159081, -0.7246352503258299, -0.15510078775815894, 0.12619420876242404), (0.24743683866122967, 0.5615110519360075, -0.3322404459371945, -0.7048709861468231), (0.7028698531861565, -0.22853480716765995, 0.7720042932598191, -0.13166327267604216), (-0.2435352215957982, 0.22931953113912795, 0.3655062306761121, -0.12152100998681392)), ((-0.5677571978624529, 0.6521623982090801, 0.45610015782255964, 0.04035238030125632), (-0.23851414230639378, -0.30637231258391073, 0.046201693717512704, -0.27136411183670195), (0.6857476357642973, 0.3410717717617201, 0.01289524408298115, -0.013360855488527279), (-0.032304469159492366, -0.0835492970599051, -0.0028734534647487653, -0.4654703960804025)), ((-0.2290818436503651, -0.5296681103638246, 0.6162246876592932, 0.17128234890632854), (-0.5811995554061062, 0.6417647758172681, 0.7628730887993724, -0.37912907041142807), (-0.09316417943340105, -0.27095731560349645, 0.6194574328449272, -0.24948060355551438), (0.5728337951942462, -0.0924305626769284, 0.3298848378599575, 0.415637420812042)), ((-0.061049694343089045, -0.8003464214443662, 0.29655140456799867, -0.7735799111191699), (0.29917720082276444, 0.3643378373698344, -0.7665309138650984, 0.35430115119764427), (0.39429765393905847, -0.215211613577439, 0.22195510594293588, -0.20240345662915427), (-0.06694319875792287, -0.6036398699231508, -0.6775777632295854, -0.13199173966023536)))) if rank==0: return (0.1916945198248936-0.13520600821648232j,) elif rank==1: return (-0.1083940865407611-0.43931913768613384j,) elif rank==2: return (((-0.0008665125778035687+0.43157678379712805j), (0.6508260343349135-0.13342532131846585j)), ((0.25346912744174943-0.6465790214072134j), (-0.15962337965743467-0.01177491815738152j))) elif rank==3: return ((((-0.11057636539275228-0.3175750394405701j), (0.7947500539520073-0.3434988438428338j), (-0.17008528220766383+0.22755084276175752j)), ((-0.21753248913138046+0.3073046922694095j), (-0.5987149773078468+0.6404407581234498j), (-0.2733628131901674-0.7312216337378827j)), ((0.46021781519502736-0.32179246699810604j), (-0.4650578935554821+0.5210104598763112j), (-0.36535537317523425+0.4289080712460789j))), (((-0.19578475796433725-0.1604786258607791j), (-0.070669831429362-0.34066414803932554j), (0.09414012129996285-0.14312760505028332j)), ((0.02962390819527594-0.08129940555056081j), (-0.29691277198852295+0.5445730330279386j), (-0.8314872838325128-0.10478982105017087j)), ((-0.4875034489526303+0.11245261823496877j), (0.307917858878609+0.4746451405124599j), (0.41480950330452204+0.4450092645412934j))), (((0.7567520084099626-0.5568082250793975j), (0.5933616991307173-0.03406028934656724j), (-0.5349903124170489-0.396773950179919j)), ((0.46555626239679515-0.16518290948365888j), (0.8398844896104096+0.28827801011043974j), (-0.05286735815237498-0.06537526369272817j)), ((-0.7873594868218297+0.23455905590585036j), (0.43718502738612375+0.17935920771077773j), (-0.16708210956083058-0.29630670019555294j)))) elif rank==4: return (((((-0.37669743703656033+0.3367989420952414j), (0.3280202440259613-0.42443833914985585j), (0.5751207710641884-0.6671925997156294j), (0.033365010564720965+0.18416168128369115j)), ((-0.1305885333955732+0.258183803742714j), (0.5291111892948406+0.12768860044004038j), (0.3044538909411727+0.7018739119608393j), (-0.09384324555072743+0.44762291055240755j)), ((-0.5172985234092151-0.4246631134190011j), (-0.05697702151796369-0.38499672629412374j), (-0.16330371172505076+0.6329885254352636j), (0.005206064694582513-0.6979570589219142j)), ((0.10042081122085011+0.2730078961548078j), (0.37702343940278005+0.3312339822361312j), (-0.38712718853663275+0.043310706850169245j), (-0.43842301200718425-0.15186366915048966j))), (((0.5818010551152796-0.36497243994846373j), (0.19198280565084558-0.5011496107835725j), (0.24413432536571378-0.6379767379075698j), (0.34455193126269634-0.08664637040123147j)), ((0.8168889487559259-0.9032656902589163j), (-0.5603456946720172-0.1195734571550765j), (-0.1605088593685251-0.13483121449943314j), (0.6174544850032535-0.44047675305704703j)), ((-0.42307951312623815-0.30327702147916713j), (-0.2618637556175357-0.1986043745329351j), (0.04718850736664815-0.10738185754632579j), (0.23587778497574974-0.6504332945195135j)), ((-0.05076119295424941+0.4047602633806563j), (0.11093393085917946+0.12427836254382474j), (-0.8132105391139205+0.37548311525522216j), (-0.26953236282243265-0.31159778790771064j))), (((-0.39250877863236644-0.4881044190028637j), (-0.8360834411136835+0.02188471873683928j), (0.02679042509032048+0.6879063358020456j), (-0.10048291543082566-0.2233219762257277j)), ((0.5390402819188123+0.1204054017602989j), (-0.2931730415212582+0.11535281644759132j), (-0.30548980198917564+0.026411218830157512j), (-0.19472436433201012+0.081056583169555j)), ((0.0005464858113309878+0.3225143801544309j), (-0.07709944497321652-0.7481530123633068j), (0.16337505191696478+0.5103151975086361j), (-0.12750402538858618+0.7545748937897574j)), ((-0.9554831189812294+0.13987108056505082j), (-0.27483290404380223+0.8226848528344127j), (0.521831527873442+0.4970661477293601j), (0.9061234743087792-0.1504241528269118j))), (((-0.1882846543421225+0.5304062832141554j), (0.10579078542556297+0.22780442714023064j), (-0.011294630508038805+0.5779466549586485j), (0.08025599710182507+0.12004966544994533j)), ((-0.6586788023520793+0.29488829592817734j), (-0.5025090781370782-0.495410044054439j), (-0.10853891499487645+0.024651020003384483j), (-0.0009726817521150677-0.0764710138257787j)), ((0.32613207343707196+0.7335754039319815j), (0.3508358997571207+0.3240452830066213j), (-0.3835841075004305-0.06342158227281525j), (0.32061104148045194+0.14435049185949667j)), ((-0.4702553987233302+0.2965575488822829j), (0.2726823746215451+0.21252896664298115j), (-0.40480220218419416+0.5684528722603068j), (-0.8662951962865073-0.02018655350327081j)))), ((((0.31691366872411453-0.16565320239992465j), (0.6119279222420073+0.4061058795460125j), (-0.2724431323567723+0.47301403973137435j), (-0.07564711093225085+0.3318822040674295j)), ((0.35444199580157854-0.17921840306504822j), (0.029427102181375453-0.03357316416483169j), (-0.21032412371046783+0.01667316554624787j), (0.0663834457499225+0.2586952407467318j)), ((0.20873626161577874+0.5387073631313459j), (-0.7679630879573601-0.6188379588287274j), (-0.3195249665071722-0.597193477248285j), (0.43272245800774456-0.23801421308823245j)), ((-0.037613711494389857+0.10818062943154994j), (0.057829377352543676-0.04999419264444982j), (0.3022465975999099-0.5349078896215682j), (-0.5231242476811815+0.42998339300583244j))), (((0.0856361897298803-0.6998154250460039j), (-0.11463868513147624+0.16152088708434365j), (-0.5127925687279636+0.11002739851016519j), (0.2599079869203247+0.02491071853128979j)), ((0.7015604708055061-0.591598702814476j), (0.7022599678145434+0.41303884890699527j), (0.6770753952633466+0.003915616175995784j), (0.5221501522889332+0.015184149238084643j)), ((-0.18955797508665606+0.5485819797109972j), (-0.2971676553030109-0.17836414101585318j), (-0.5711343992923511+0.06842526899025392j), (0.059265927050955236-0.6735602608611315j)), ((-0.1520857966428928+0.29169887374589554j), (-0.3146943503222607+0.5076388713801581j), (0.9710102040544507-0.04876498142745134j), (-0.19853216294306686-0.6550688027359666j))), (((0.18951981302782428-0.2412793295224065j), (-0.7777428226995063-0.365999090785438j), (0.6228318351380273+0.06995476281885704j), (-0.6740149120004719+0.10711001728991842j)), ((0.1129279157975297-0.4283924106357786j), (0.40438767481744564-0.2635679354391648j), (-0.29420852109617845+0.4847733937880756j), (-0.3510828870978512-0.11064283076221504j)), ((-0.060808250212467274-0.3509555798569397j), (0.2310570876125041+0.27346891132233075j), (-0.07736476852424223-0.24833618620126674j), (-0.78074150969927-0.7230863125461435j)), ((-0.4757051297031988-0.3783458735437233j), (-0.5401521152562118+0.035723203675678605j), (-0.17580640953890292+0.6827665743960223j), (0.39326629202893215-0.21993263281519704j))), (((0.6386214443611579-0.764943290056036j), (0.18713633494964688+0.06363868519230131j), (0.29526336078276216+0.30178995300494826j), (0.05001443364181468-0.42881696117817625j)), ((-0.5275034189476259+0.6550538425247074j), (0.6943261638500615+0.006776882726276523j), (0.5153311571315663-0.05413330835192531j), (0.2988153589979258+0.3049744060817169j)), ((0.14785883887146767+0.0763051493978234j), (0.16312754082743042-0.03795584967477661j), (0.040229546593022913+0.16530303115245693j), (-0.1831772476291057+0.06328054147911466j)), ((0.1476643669767913+0.325680674159183j), (0.14707868586431028+0.9047584008820329j), (0.9011552589577467+0.11447442281060494j), (0.005973469367093642+0.22263862886336694j)))), ((((0.19283269000734593-0.28709497228064285j), (-0.47096481014533476-0.13173508510496024j), (0.562477770007406+0.26491027512352816j), (0.03783964186943933-0.03978396106597093j)), ((-0.5333576204038937+0.20057170743675312j), (-0.5554481805321547-0.7626212986623081j), (-0.47686434977953773+0.5802686248218423j), (0.5920361023050167-0.14491946597655325j)), ((-0.4126930229374297+0.39966003185091536j), (0.2850544980649773+0.7484131241244993j), (-0.13160190253004878-0.10190869345823672j), (0.34602765479100117-0.18205626983880596j)), ((0.4219188545707674+0.5086508238768007j), (-0.0677006672392233-0.11766198036052333j), (0.45020863060305627+0.20389430038718892j), (-0.5125265629738844-0.4771765521430704j))), (((0.37701640058097874+0.05204261987362635j), (0.17260326851591068+0.4285264843160088j), (0.10359131962737611-0.8137076321465101j), (-0.02286762418683419+0.34829474498525603j)), ((-0.010410922319074811+0.09105220878486131j), (0.43519051427706756-0.20447320160562032j), (-0.14399460120821073-0.46777690039065734j), (-0.04872781035419649-0.4298525400055381j)), ((0.18896093939688385-0.16705599789601278j), (-0.5364935215041872+0.3749309246942789j), (-0.18268036947723632-0.25385754338743693j), (-0.5091199532153567-0.32766264406763357j)), ((-0.35235219578282473-0.661850620842785j), (-0.6072679594510126+0.09656978047989173j), (-0.5126540710595279-0.1672195227969181j), (-0.2830351750830662+0.12517368885386926j))), (((0.04686974540685185+0.08438300173836044j), (-0.17974800480460484-0.5026848778236594j), (0.4496570044640005+0.5182953038532189j), (0.673892629006263-0.39593441606543756j)), ((0.2166952267447365+0.191459813763583j), (0.6130127820906195+0.3500318802920196j), (-0.5419820712240513-0.13457437148792628j), (0.3343112127482648+0.07888610819775466j)), ((-0.39276675341804346+0.7570076529568248j), (-0.3988406372126929-0.8608946218773403j), (0.576648779753566-0.6725693071527158j), (-0.4183085693722922-0.21421782809798817j)), ((-0.3010231423615105-0.020535079475881957j), (0.006107583077576639-0.0812822534033596j), (-0.029724210300932086+0.35635178233793563j), (-0.20891136846604574-0.34703924148843457j))), (((-0.07194174413486831-0.07558412271718051j), (0.04378297698600753+0.17934356988151767j), (-0.47189150794751766+0.5780327062551049j), (-0.5125220316089242+0.24892817111211096j)), ((-0.36059488463245326-0.44683441504676813j), (-0.26735527077170973-0.3699650359773635j), (-0.3057966963958182-0.07264390084352956j), (-0.7281560219128018-0.3560659246206268j)), ((0.1329046092679943-0.03153689763456646j), (-0.39271490859265534+0.2062873488401652j), (0.3802945078185428+0.013499908367005542j), (-0.1756191306230559+0.40464153144244697j)), ((0.4802390728634319+0.5190956065611698j), (0.14465603430627616+0.005475878763732567j), (0.3018703057475889-0.0352888758412262j), (0.6943368615391298+0.019202869121973j)))), ((((-0.07500673578875616+0.44031114122474946j), (-0.7205258224784314+0.16865003592058259j), (0.07737090079316822-0.1946277248102064j), (-0.34196425749144166+0.03817853010131156j)), ((0.17755139682612575+0.8238455606059262j), (-0.6657721503572177+0.19793806270117809j), (0.29019650633065386-0.0952118701646486j), (0.14507433328106534-0.515594049976717j)), ((-0.2046653289959417-0.3621700659367947j), (0.6793982849049701+0.3212370850216385j), (0.752468338707956-0.2485926849867901j), (0.5515361195592884-0.4034740977009965j)), ((0.06814007049845194-0.598437803123891j), (-0.5946418447770585-0.6903237885619982j), (-0.36295182276739524-0.7047248113077316j), (0.4250255531847421-0.18162334572617966j))), (((-0.330842360993192+0.6332178345844492j), (-0.1626525936800115+0.12616954195069585j), (-0.1140983493592932+0.16115787963839956j), (-0.5146861509822459-0.47712128557213807j)), ((-0.5846954521386037+0.05824004235002933j), (-0.6485911018934266+0.16723477358583239j), (0.08398284507027964-0.43010971419153865j), (0.473289092320511-0.20201419097169482j)), ((0.4304851671543479+0.3403150943545751j), (-0.5833160536688786+0.4728250155621482j), (0.07457807134020211-0.7490249718724199j), (-0.7171842661512965-0.4045396117992399j)), ((0.38115752645606027-0.581098921622462j), (-0.5631172341731325-0.3169246082570121j), (-0.3187906517321565-0.04147798917128964j), (0.19509565877461577-0.2078658202899497j))), (((0.8183607993729423+0.6099794355828236j), (-0.04871961343893161-0.07033624155755913j), (-0.5113369106671184+0.057386755559324376j), (-0.8572333770628078-0.11952395630018997j)), ((-0.14669430492038193+0.22930953454219938j), (0.8593021941295018-0.6567284188814271j), (-0.3498005693861541+0.4978632770594925j), (0.09110494626854304+0.14596905700539575j)), ((0.5821565237474922+0.0943377064392501j), (-0.12067415509324098-0.2752660016054119j), (-0.06217450649156364-0.024782412571600743j), (0.18973873165376154-0.4643249608246277j)), ((0.221440302929653-0.013268267564226499j), (0.23727492055667987+0.24335036846179636j), (0.20590162356036257-0.7773726672859762j), (0.6650340170009239+0.23251699933937398j))), (((-0.10862117873771637-0.37601603473231926j), (0.14702795412639624+0.2708674170765101j), (-0.6649779112242566-0.18174044911513143j), (-0.8835405205485383+0.67800004101369j)), ((0.5595753470648851+0.06619472947501459j), (-0.5165025553457263+0.06614105368782663j), (0.6989509353083828-0.04232214137167867j), (0.27326536666764734+0.055971454399568965j)), ((-0.4225563301191848-0.46504433769204656j), (0.021693692712496326+0.03736604787989928j), (-0.5231593756263367-0.2743293424312542j), (0.030072300170931987-0.5713925695108115j)), ((0.2665173135965969-0.541283942963249j), (0.10755640859650628-0.30605105910067054j), (-0.5717247916937898+0.2531629402939769j), (0.6106906755601762-0.8354582126221755j))))) def get_array_inputL(self, rank, cplx, no_first_arg_negative=False, no_zeros=False, mult=1000): z=self.get_python_inputL(rank, cplx, no_first_arg_negative=no_first_arg_negative, no_zeros=no_zeros) r=numpy.array(z) if mult!=1000: r=r/1000*mult return (r,r.copy()) # does not have the same range as get_array_inputL but hopefully this will be enough # at the moment it is only used in tagged testing def get_array_inputL2(self, rank, cplx): z=self.get_python_input2(rank, cplx) return (10*numpy.array(z), 10*numpy.array(z)) def get_array_input1(self, rank, cplx, no_first_arg_negative=False, no_zeros=False): z=self.get_python_input1(rank, cplx, no_first_arg_negative, no_zeros=no_zeros) return (numpy.array(z),numpy.array(z)) def get_array_input2(self, rank, cplx, no_zeros=False, no_first_arg_negative=False): z=self.get_python_input2(rank, cplx, no_zeros=no_zeros, no_first_arg_negative=no_first_arg_negative) return (numpy.array(z),numpy.array(z)) def get_array_input3(self, rank, cplx, no_first_arg_negative=False, no_zeros=False): z=self.get_python_input3(rank, cplx, no_first_arg_negative=no_first_arg_negative, no_zeros=no_zeros) return (numpy.array(z),numpy.array(z)) def get_array_input4(self, rank, cplx): z=self.get_python_input4(rank, cplx) return (numpy.array(z),numpy.array(z)) def get_const_inputL(self, rank, fs, cplx): z=self.get_python_inputL(rank, cplx) d=Data(z, fs) return (d, numpy.array(z)) def get_const_input1(self, rank, fs, cplx, no_first_arg_negative=False, no_zeros=False): z=self.get_python_input1(rank, cplx, no_first_arg_negative, no_zeros=no_zeros) d=Data(z, fs) return (d, numpy.array(z)) def get_const_input2(self, rank, fs, cplx, no_zeros=False): z=self.get_python_input2(rank, cplx, no_zeros=no_zeros) d=Data(z, fs) return (d, numpy.array(z)) def get_expanded_inputL(self, rank, fs, cplx, no_first_arg_negative=False, no_zeros=False, mult=1000): base=self.get_python_inputL(rank, cplx, no_first_arg_negative=no_first_arg_negative, no_zeros=no_zeros) v='x' if mult!=1000: base=numpy.array(base) v=Lsup(base) base=base/1000*mult base=base.tolist() x=fs.getX()[0] mask=whereNegative(x-0.5) # A trick from Lutz Gross' version of tests r=base*mask+(1-mask)*base return (r, base) def get_expanded_inputL2(self, rank, fs, cplx, no_zeros=False, mult=1000): base=numpy.array(self.get_python_input1(rank, cplx))*mult base=base.tolist() x=fs.getX()[0] mask=whereNegative(x-0.5) # A trick from Lutz Gross' version of tests r=base*mask+(1-mask)*base return (r, base) def get_expanded_input1(self, rank, fs, cplx): base=self.get_python_input1(rank, cplx) x=fs.getX()[0] mask=whereNegative(x-0.5) # A trick from Lutz Gross' version of tests r=base*mask+(1-mask)*base return (r, base) def get_expanded_input2(self, rank, fs, cplx): base=self.get_python_input2(rank, cplx) x=fs.getX()[0] mask=whereNegative(x-0.5) # A trick from Lutz Gross' version of tests r=base*mask+(1-mask)*base return (r, base) def get_tagged_inputL(self, rank, fs, cplx): z=self.get_python_inputL(rank, cplx) ref=self.get_array_inputL(rank, cplx)[0] d=Data(z, fs) d.tag() return (d, ref) def get_tagged_input2(self, rank, fs, cplx): z=self.get_python_input2(rank, cplx) ref=self.get_array_input2(rank, cplx)[0] d=Data(z, fs) d.tag() return (d, ref) def get_tagged_with_tagL1(self, rank, fs, cplx, set_tags=False, no_first_arg_negative=False, no_zeros=False, mult=1000): ref=self.get_array_inputL(rank, cplx, no_first_arg_negative=no_first_arg_negative, no_zeros=no_zeros, mult=mult)[0] d=Data(ref,fs) d.tag() if set_tags: ref1=self.get_array_input2(rank, cplx, no_first_arg_negative=no_first_arg_negative, no_zeros=no_zeros)[0]*mult for t in fs.getListOfTags(): d.setTaggedValue(t, ref1)*mult ref=ref1 return (d,ref) def get_tagged_with_tagL2(self, rank, fs, cplx, set_tags=False, no_zeros=False, mult=1000): ref=self.get_array_input2(rank, cplx, no_zeros=no_zeros)[0]*mult d=Data(ref,fs) if set_tags: ref1=self.get_array_input3(rank, cplx, no_zeros=no_zeros)[0]*mult for t in fs.getListOfTags(): d.setTaggedValue(t, ref1) ref=ref1 return (d,ref) def get_tagged_input1(self, rank, fs, cplx): z=self.get_python_input1(rank, cplx) ref=self.get_array_input1(rank, cplx)[0] d=Data(z, fs) d.tag() return (d, ref) def execute_ce_params(self, pars): for v in pars: a=v[0] op=v[1] misccheck=v[2] ref=v[3] oraclecheck=v[4] description=v[5] res=eval(op) if misccheck is not None: miscres=eval(misccheck) if not miscres: print("Failed check:"+misccheck) print(type(a)) print(" vs ") print(type(res)) print(" values:") print(a) print(res) self.assertTrue(miscres,"Failed check for "+description) oraclevalue=eval(oraclecheck) oracleres=Lsup(res-oraclevalue)<=self.RES_TOL*Lsup(oraclevalue) if not oracleres: print("Wrong result:"+oraclecheck) print(type(res)) print(" vs ") print(type(oraclevalue)) print(" values:") print(res) print(" vs ") print(oraclevalue) self.assertTrue(oracleres,"wrong result for "+description) def execute_ce_throws(self, pars): for v in pars: a=v[0] def get_expanded_input1(self, rank, fs, cplx): base=self.get_python_input1(rank, cplx) x=fs.getX()[0] mask=whereNegative(x-0.5) # A trick from Lutz Gross' version of tests r=base*mask+(1-mask)*base return (r, base) def get_tagged_inputL(self, rank, fs, cplx): z=self.get_python_inputL(rank, cplx) ref=self.get_array_inputL(rank, cplx)[0] d=Data(z, fs) d.tag() return (d, ref) def get_tagged_input1(self, rank, fs, cplx): z=self.get_python_input1(rank, cplx) ref=self.get_array_input1(rank, cplx)[0] d=Data(z, fs) d.tag() return (d, ref) def get_array_by_shape(self, s, cplx): dt=numpy.float64 if not cplx else numpy.complex128 n=numpy.prod(s) a=numpy.arange(n, dtype=dt).reshape(s) if cplx: a-=((1+numpy.arange(n, dtype=dt))*1j).reshape(s) return a def make_constant_from_array(self, a, fs): d=Data(a, fs) return d def make_tagged_from_array(self, a, fs): d=Data(1.5, getShape(a), fs) if a.dtype.kind=='c': d.promote() for n in fs.getListOfTags(): d.setTaggedValue(n, a) return d def make_expanded_from_array(self, a, fs): d=Data(a, fs) d.expand() return d def execute_ce_params(self, pars): for v in pars: a=v[0] op=v[1] misccheck=v[2] ref=v[3] oraclecheck=v[4] description=v[5] res=eval(op) if misccheck is not None: miscres=eval(misccheck) if not miscres: print("Failed check:"+misccheck) print(type(a)) print(" vs ") print(type(res)) print(" values:") print(a) print(res) self.assertTrue(miscres,"Failed check for "+description) if oraclecheck is not None: oraclevalue=eval(oraclecheck) if isinstance(res, Data): res.resolve() if isinstance(oraclevalue, Data): oraclevalue.resolve() oracleres=Lsup(res-oraclevalue)<=self.RES_TOL*Lsup(oraclevalue) if not oracleres: print("Wrong result:"+oraclecheck) print(type(res)) print(" vs ") print(type(oraclevalue)) print(" values:") print(res) print(" vs ") print(oraclevalue) self.assertTrue(oracleres,"wrong result for "+description) def execute_ce_throws(self, pars): for v in pars: a=v[0] op=v[1] misccheck=v[2] ref=v[3] oraclecheck=v[4] description=v[5] expected_exceptions=v[6] if expected_exceptions is None: expected_exceptions=(TypeError, RuntimeError) # These are used for unsupported complex try: res=eval(op) except Exception as ex: # unfortunately, we don't return a single exception type in this case self.assertTrue(type(ex) in expected_exceptions, "Exception was raised but it was of unexpected type ("+str(type(ex))+")") else: print("Processing expression "+str(op)+" with value "+str(a)) raise AssertionError("Exception not raised") def execute_t_params(self, pars): for v in pars: description=v[0] a=v[1] tagcount=1 for step in v[3:]: a.setTaggedValue(tagcount, step[0]) op=step[1] misccheck=step[2] ref=step[3] oraclecheck=step[4] res=eval(op) if misccheck is not None: self.assertTrue(eval(misccheck), "Check failed for "+description+" checking "+misccheck) if oraclecheck is not None: oraclevalue=eval(oraclecheck) else: oraclevalue=ref if oraclevalue is not None: oracleres=Lsup(res-oraclevalue)<=self.RES_TOL*Lsup(oraclevalue) if not oracleres: print(v) print(" This step ") print(step) print("Failed comparison:") print(res) print(" vs ") print(oraclevalue) print(" a= ") print(a) print(" ref== ") print(ref) print(" oraclecheck= ") print(oraclecheck) self.assertTrue(oracleres,"wrong result for "+description+" for tag "+str(tagcount)) tagcount+=1 def execute_t_throws(self, pars): for v in pars: description=v[0] a=v[1] tagcount=1 expected_exceptions=v[2] if expected_exceptions is None: expected_exceptions=(TypeError, RuntimeError) # These are used for unsupported complex for step in v[3:]: a.setTaggedValue(tagcount, step[0]) op=step[1] misccheck=step[2] ref=step[3] oraclecheck=step[4] with self.assertRaises(Exception) as err: res=eval(op) self.assertTrue(type(err.exception) in expected_exceptions, "Exception was raised but it was of unexpected type ("+str(type(err.exception))+")") tagcount+=1 def generate_operation_test_batch(self, supportcplx, opstring, misccheck, oraclecheck, opname, update1, input_trans=None, no_scalars=False, minrank=0, maxrank=4, expect_raise_on_ranks=None, expected_exceptions=None): """ supportcplx is a boolean indicating whether complex operations should be checked for values (True) or tested to see if they raise (False) opstring is a string of the operation to be performed (in terms of argument a) eg "Lsup(a)" misccheck is a string giving a check to be run after the operation eg "isinstance(res,float)" opname is a string used to describe the operation being tested eg "inf" update1 and update2 are strings giving code used to update a variable rmerge to account for tag additions for tagged data. eg: update1="r2.min()" update2="min(rmerge, r3.min())" would result in rmerge=eval(update1) running after the first tag is calculatedand rmerge=eval(update2) running after the second """ self.generate_operation_test_batch_driver(supportcplx, opstring, misccheck, oraclecheck, opname, update1, input_trans, no_scalars, minrank, maxrank, expect_raise_on_ranks, expected_exceptions, inp_scalar1=self.get_scalar_input1, inp_array1=self.get_array_input1, inp_array2=self.get_array_input2, inp_const1=self.get_const_input1, inp_expanded1=self.get_expanded_input1, inp_tagged1=self.get_tagged_input1) def generate_operation_test_batch_driver(self, supportcplx, opstring, misccheck, oraclecheck, opname, update1, input_trans=None, no_scalars=False, minrank=0, maxrank=4, expect_raise_on_ranks=None, expected_exceptions=None, inp_scalar1=None, inp_array1=None, inp_array2=None, inp_const1=None, inp_expanded1=None, inp_tagged1=None): """ supportcplx is a boolean indicating whether complex operations should be checked for values (True) or tested to see if they raise (False) opstring is a string of the operation to be performed (in terms of argument a) eg "Lsup(a)" misccheck is a string giving a check to be run after the operation eg "isinstance(res,float)" opname is a string used to describe the operation being tested eg "inf" update1 and update2 are strings giving code used to update a variable rmerge to account for tag additions for tagged data. eg: update1="r2.min()" update2="min(rmerge, r3.min())" would result in rmerge=eval(update1) running after the first tag is calculatedand rmerge=eval(update2) running after the second """ if input_trans is None: input_trans=lambda x: x if expect_raise_on_ranks is None: expect_raise_on_ranks=() pars=[] epars=[] # operations which should throw if not no_scalars: (f1,f2)=inp_scalar1(False) f1=input_trans(f1) f2=input_trans(f2) pars.append((f1, opstring, misccheck, numpy.array(f2), oraclecheck, opname+" - scalar", expected_exceptions)) if supportcplx: (f1,f2)=inp_scalar1(True) f1=input_trans(f1) f2=input_trans(f2) pars.append((f1, opstring, misccheck, numpy.array(f2), oraclecheck, opname+" - complex scalar",expected_exceptions)) else: (f1,f2)=inp_scalar1(True) f1=input_trans(f1) f2=input_trans(f2) epars.append((f1, opstring, misccheck, numpy.array(f2), oraclecheck, opname+" - complex scalar", expected_exceptions)) for c in (False, True): if c: cs="complex " else: cs="" for rank in range(minrank, maxrank+1): dest=pars if rank in expect_raise_on_ranks or (c and not supportcplx): dest=epars if not no_scalars: (a, r)=inp_array1(rank, c) a=input_trans(a) r=input_trans(r) p=(a, opstring, misccheck, numpy.array(r), oraclecheck, opname+" - "+cs+"array rank "+str(rank), expected_exceptions) dest.append(p) (a, r)=inp_const1(rank, self.functionspace, c) a=input_trans(a) r=input_trans(numpy.array(r)) p=(a, opstring, misccheck, r, oraclecheck, opname+" - "+cs+"Constant Data rank "+str(rank), expected_exceptions) dest.append(p) (a, r)=inp_expanded1(rank, self.functionspace, c) a=input_trans(a) r=input_trans(numpy.array(r)) p=(a, opstring, misccheck, r, oraclecheck, opname+" - "+cs+"Expanded Data rank "+str(rank), expected_exceptions) dest.append(p) self.execute_ce_params(pars) self.execute_ce_throws(epars) del pars del epars tpars=[] # tagged versions epars=[] for c in (False, True): if c: cs="complex " else: cs="" for rank in range(minrank, maxrank+1): dest=tpars if rank in expect_raise_on_ranks or (c and not supportcplx): dest=epars test=[opname+" - "+cs+"tagged rank "+str(rank),] (a, r)=inp_tagged1(rank, self.functionspace, c) a=input_trans(a) r=input_trans(numpy.array(r)) test.append(a) test.append(expected_exceptions) # arguments are new tagged value, operation, extra check, reference_value, reference_check (t2, r2)=inp_array2(rank, c) t2=input_trans(t2) r2=input_trans(numpy.array(r2)) if update1 is not None: rmerge=eval(update1) else: rmerge=None test.append((t2, opstring, misccheck, rmerge, None,)) dest.append(test) self.execute_t_params(tpars) self.execute_t_throws(epars) def generate_operation_test_batch(self, supportcplx, opstring, misccheck, oraclecheck, opname, update1, input_trans=None, no_scalars=False, minrank=0, maxrank=4, expect_raise_on_ranks=None, expected_exceptions=None): """ supportcplx is a boolean indicating whether complex operations should be checked for values (True) or tested to see if they raise (False) opstring is a string of the operation to be performed (in terms of argument a) eg "Lsup(a)" misccheck is a string giving a check to be run after the operation eg "isinstance(res,float)" opname is a string used to describe the operation being tested eg "inf" update1 and update2 are strings giving code used to update a variable rmerge to account for tag additions for tagged data. eg: update1="r2.min()" update2="min(rmerge, r3.min())" would result in rmerge=eval(update1) running after the first tag is calculatedand rmerge=eval(update2) running after the second """ self.generate_operation_test_batch_driver(supportcplx, opstring, misccheck, oraclecheck, opname, update1, input_trans=input_trans, no_scalars=no_scalars, minrank=minrank, maxrank=maxrank, expect_raise_on_ranks=expect_raise_on_ranks, expected_exceptions=expected_exceptions, inp_scalar1=self.get_scalar_input1, inp_array1=self.get_array_input1, inp_array2=self.get_array_input2, inp_const1=self.get_const_input1, inp_expanded1=self.get_expanded_input1, inp_tagged1=self.get_tagged_input1) def generate_operation_test_batch_large(self, supportcplx, opstring, misccheck, oraclecheck, opname, update1, input_trans=None, no_scalars=False, minrank=0, maxrank=4, expect_raise_on_ranks=None, expected_exceptions=None): """ Uses the same logic as generate_operation_test_batch but uses larger values. supportcplx is a boolean indicating whether complex operations should be checked for values (True) or tested to see if they raise (False) opstring is a string of the operation to be performed (in terms of argument a) eg "Lsup(a)" misccheck is a string giving a check to be run after the operation eg "isinstance(res,float)" opname is a string used to describe the operation being tested eg "inf" update1 and update2 are strings giving code used to update a variable rmerge to account for tag additions for tagged data. eg: update1="r2.min()" update2="min(rmerge, r3.min())" would result in rmerge=eval(update1) running after the first tag is calculatedand rmerge=eval(update2) running after the second """ self.generate_operation_test_batch_driver(supportcplx, opstring, misccheck, oraclecheck, opname, update1, input_trans, no_scalars, minrank, maxrank, expect_raise_on_ranks, expected_exceptions, inp_scalar1=self.get_scalar_inputL, inp_array1=self.get_array_inputL, inp_array2=self.get_array_inputL2, inp_const1=self.get_const_inputL, inp_expanded1=self.get_expanded_inputL, inp_tagged1=self.get_tagged_inputL) def execute_binary_params(self, pars): for v in pars: a=v[0] b=v[1] op=v[2] misccheck=v[3] refa=v[4] refb=v[5] oraclecheck=v[6] description=v[7] res=eval(op) if misccheck is not None: miscres=eval(misccheck) if not miscres: print("Failed check:"+misccheck) print(type(a)) print(" , ") print(type(b)) print(" vs ") print(type(res)) print(" values:") print(a) print(" , ") print(b) print(res) self.assertTrue(miscres,"Failed check for "+description) oraclevalue=eval(oraclecheck) oracleres=Lsup(res-oraclevalue)<=self.RES_TOL*Lsup(oraclevalue) if not oracleres: print("Wrong result:"+oraclecheck) print(" refa=") print(str(refa)) print(" refb=") print(str(refb)) print(" res=") print(type(res)) print(" vs oraclevalue=") print(type(oraclevalue)) print(" values:") print(res) print(" vs ") print(oraclevalue) self.assertTrue(oracleres,"wrong result for "+description) def generate_binary_matrixlike_operation_test_batch_large(self, opstring, misccheck, oraclecheck, opname, input_trans=None, minrank=0, maxrank=4, aranks=(2,)): """ Generates a set of tests for binary operations. It is similar to the unary versions but with some unneeded options removed. For example, all operations in this type should accept complex arguments. opstring is a string of the operation to be performed (in terms of arguments a and b) eg "inner(a,b)" misccheck is a string giving a check to be run after the operation eg "isinstance(res,float)" opname is a string used to describe the operation being tested eg "inner" update1 is a string giving code used to update a variable rmerge to account for tag additions for tagged data. eg: update1="r2.min()" would result in rmerge=eval(update1) running after the first tag is calculated """ if input_trans is None: input_trans=lambda x: x pars=[] for ac in (False, True): # complex or real arguments for bc in (False, True): astr="real" if ac else "complex" bstr="real" if bc else "complex" aargset=[] bargset=[] arange=aranks for atype in "ACTE": # Array/Constant/Tagged/Expanded if atype=='A': for r in arange: aargset.append((self.get_array_input1(r,ac),astr+' array rank '+str(r), r)) elif atype=='C': for r in arange: aargset.append((self.get_const_input1(r, self.functionspace, ac), astr+' Constant rank '+str(r), r)) elif atype=='T': for r in arange: aargset.append((self.get_tagged_with_tagL1(r, self.functionspace, ac, set_tags=False),astr+' Tagged rank '+str(r), r)) elif atype=='E': for r in arange: aargset.append((self.get_expanded_inputL(r,self.functionspace, ac),astr+' Expanded rank '+str(r), r)) # Now we have a set of a args, match them with possible b's for v in aargset: arg=v[0][0] argref=v[0][1] adescr=v[1] rank=v[2] if rank==2: brange=(1,2) elif rank==4: brange=(2,3,4) for br in brange: tshape=(rank,)*br bargref=self.get_array_by_shape(tshape, bc) # now convert it to each possbile input type barg=self.make_constant_from_array(bargref, self.functionspace) bdescr=bstr+' Constant rank '+str(br) p=(arg, barg, opstring, misccheck, numpy.array(argref), numpy.array(bargref), oraclecheck, opname+' '+adescr+'/'+bdescr) pars.append(p) barg=self.make_tagged_from_array(bargref, self.functionspace) bdescr=bstr+' Tagged rank '+str(br) p=(arg, barg, opstring, misccheck, numpy.array(argref), numpy.array(bargref), oraclecheck, opname+' '+adescr+'/'+bdescr) pars.append(p) barg=self.make_expanded_from_array(bargref, self.functionspace) bdescr=bstr+' Expanded rank '+str(br) p=(arg, barg, opstring, misccheck, numpy.array(argref), numpy.array(bargref), oraclecheck, opname+' '+adescr+'/'+bdescr) pars.append(p) self.execute_binary_params(pars) def generate_binary_operation_test_batch(self, opstring, misccheck, oraclecheck, opname, minrank=0, maxrank=4, no_shape_mismatch=False, permit_scalar_mismatch=True, cap_combined_rank=False, fix_rank_a=None, fix_rank_b=None, support_cplx=True, permit_array_op_data=True, no_second_arg_zeros=False, no_first_arg_zeros=False, no_first_arg_negative=False, second_large_args=True, first_large_args=True): """ Generates a set of tests for binary operations. It is similar to the unary versions but with some unneeded options removed. opstring is a string of the operation to be performed (in terms of arguments a and b) eg "inner(a,b)" misccheck is a string giving a check to be run after the operation eg "isinstance(res,float)" opname is a string used to describe the operation being tested eg "inner" update1 is a string giving code used to update a variable rmerge to account for tag additions for tagged data. eg: update1="r2.min()" would result in rmerge=eval(update1) running after the first tag is calculated Note: permit_array_op_data indicates whether cases with a numpy.ndarray as the first argument and Data as the second will be generated. (This is to avoid numpy's interpretation of +) """ pars=[] if support_cplx: complexity=(False, True) else: complexity=(False,) for ac in complexity: # complex or real arguments for bc in complexity: astr="real" if not ac else "complex" bstr="real" if not bc else "complex" aargset=[] bargset=[] if fix_rank_a is not None: arange=fix_rank_a else: arange=range(minrank, maxrank+1) if fix_rank_b is not None: brange=fix_rank_b else: brange=range(minrank, maxrank+1) amult=1000 if first_large_args else 10 bmult=1000 if second_large_args else 10 for atype in "SACTE": # Scalar/Array/Constant/Tagged/Expanded if atype=='S': aargset.append((self.get_scalar_input1(ac, no_first_arg_negative=no_first_arg_negative, no_zeros=no_first_arg_zeros),astr+' scalar')) elif atype=='A': for r in arange: aargset.append((self.get_array_input1(r,ac, no_first_arg_negative=no_first_arg_negative, no_zeros=no_first_arg_zeros),astr+' array rank '+str(r))) elif atype=='C': for r in arange: aargset.append((self.get_const_input1(r, self.functionspace, ac, no_first_arg_negative=no_first_arg_negative, no_zeros=no_first_arg_zeros), astr+' Constant rank '+str(r))) elif atype=='T': for r in arange: aargset.append((self.get_tagged_with_tagL1(r, self.functionspace, ac, set_tags=False, no_first_arg_negative=no_first_arg_negative, no_zeros=no_first_arg_zeros, mult=amult),astr+' Tagged rRank '+str(r))) elif atype=='E': for r in arange: aargset.append((self.get_expanded_inputL(r,self.functionspace, ac, no_first_arg_negative=no_first_arg_negative, no_zeros=no_first_arg_zeros, mult=amult),astr+' Expanded rank '+str(r))) for atype in "SACTE": # Scalar/Array/Constant/Tagged/Expanded if atype=='S': bargset.append((self.get_scalar_input2(bc, no_zeros=no_second_arg_zeros),bstr+' scalar')) elif atype=='A': for r in brange: bargset.append((self.get_array_input2(r, bc, no_zeros=no_second_arg_zeros),bstr+' array rank '+str(r))) elif atype=='C': for r in brange: bargset.append((self.get_const_input2(r, self.functionspace, bc, no_zeros=no_second_arg_zeros),bstr+' Constant rank '+str(r))) elif atype=='T': for r in brange: bargset.append((self.get_tagged_with_tagL2(r, self.functionspace, bc, set_tags=True, no_zeros=no_second_arg_zeros, mult=bmult), bstr+' Tagged rank '+str(r))) elif atype=='E': for r in brange: bargset.append((self.get_expanded_inputL2(r, self.functionspace, bc, no_zeros=no_second_arg_zeros, mult=bmult),bstr+' Expanded rank '+str(r))) # now we have a complete set of possible args for aarg in aargset: for barg in bargset: if cap_combined_rank and getRank(aarg[0][0])+getRank(barg[0][0])>4: continue #resulting object too big if no_shape_mismatch: sa=getShape(aarg[0][0]) sb=getShape(barg[0][0]) if sa!=sb: if not permit_scalar_mismatch or (sa!=() and sb!=()): continue if isinstance(aarg[0][0], numpy.ndarray) and isinstance(barg[0][0], Data) and not permit_array_op_data: continue p=(aarg[0][0], barg[0][0], opstring, misccheck, numpy.array(aarg[0][1]), numpy.array(barg[0][1]), oraclecheck, opname+' '+aarg[1]+'/'+barg[1]) pars.append(p) self.execute_binary_params(pars) class Test_util_base(Test_util_values): """ basic tests on util.py """ #========================================================= # File writer #========================================================= def setup(self): self.workdir=ESCRIPT_WORKDIR def __checkContent(self,fn,ref_cont): cont=open(fn,'r').readlines() self.assertTrue(len(cont)==len(ref_cont),"wrong number of records") for i in range(len(cont)): self.assertTrue(cont[i].strip()==ref_cont[i],"wrong records %s"%i) def test_FileWriter_W(self): fn=os.path.join(self.workdir, "filewriter_w.txt") self.assertRaises(IOError,FileWriter,fn="",append=False) f=FileWriter(fn,append=False) self.assertTrue(f.name==fn, "wrong file name.") self.assertTrue(f.mode=='w', "wrong mode") self.assertTrue(f.newlines==os.linesep, "wrong line seps") self.assertTrue(not f.closed,"file should not be closed.") f.write("line1\n") f.flush() self.__checkContent(fn,["line1"]) f.write("line2\nline3\n") f.close() self.assertTrue(f.closed,"file should be closed.") self.__checkContent(fn,["line1", "line2", "line3"]) MPIBarrierWorld() if getMPIRankWorld()==0: os.unlink(fn) def test_FileWriter_A(self): fn=os.path.join(self.workdir, "filewriter_a.txt") if getMPIRankWorld()==0: open(fn,'w').write("line1\n") self.assertRaises(IOError,FileWriter,fn="",append=True) f=FileWriter(fn,append=True) self.assertTrue(f.name==fn, "wrong file name.") self.assertTrue(f.mode=='a', "wrong mode") self.assertTrue(f.newlines==os.linesep, "wrong line seps") self.assertTrue(not f.closed,"file should not be closed.") f.write("line2\n") f.flush() self.__checkContent(fn,["line1", "line2"]) f.write("line3\nline4\n") f.close() self.assertTrue(f.closed,"file should be closed.") self.__checkContent(fn,["line1", "line2", "line3", "line4"]) MPIBarrierWorld() if getMPIRankWorld()==0: os.unlink(fn) def test_FileWriter_A_loc(self): fn=os.path.join(self.workdir, "filewriter_a_loc.txt") if getMPIRankWorld()>0: fn2=fn+".%s"%getMPIRankWorld() else: fn2=fn open(fn2,'w').write("line1\n") self.assertRaises(IOError,FileWriter,fn="",append=True, createLocalFiles=True) f=FileWriter(fn,append=True,createLocalFiles=True) self.assertTrue(f.name==fn, "wrong file name.") self.assertTrue(f.mode=='a', "wrong mode") self.assertTrue(f.newlines==os.linesep, "wrong line seps") self.assertTrue(not f.closed,"file should not be closed.") f.write("line2\n") f.flush() self.__checkContent(fn2,["line1", "line2"]) f.write("line3\nline4\n") f.close() self.assertTrue(f.closed,"file should be closed.") self.__checkContent(fn2,["line1", "line2", "line3", "line4"]) os.unlink(fn2) def test_FileWriter_W_loc(self): fn=os.path.join(self.workdir, "filewriter_w_loc.txt") if getMPIRankWorld()>0: fn2=fn+".%s"%getMPIRankWorld() else: fn2=fn self.assertRaises(IOError,FileWriter,fn="",append=True, createLocalFiles=True) f=FileWriter(fn,append=False,createLocalFiles=True) self.assertTrue(f.name==fn, "wrong file name.") self.assertTrue(f.mode=='w', "wrong mode") self.assertTrue(f.newlines==os.linesep, "wrong line seps") self.assertTrue(not f.closed,"file should not be closed.") f.write("line1\n") f.flush() self.__checkContent(fn2,["line1"]) f.write("line2\nline3\n") f.close() self.assertTrue(f.closed,"file should be closed.") self.__checkContent(fn2,["line1", "line2", "line3"]) os.unlink(fn2) #========================================================= # constants #========================================================= #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_kronecker_1(self): val=kronecker(d=1) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val[0,0],1.0,"wrong value for (0,0)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_kronecker_2(self): val=kronecker(d=2) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val[0,0],1.0,"wrong value for (0,0)") self.assertEqual(val[0,1],0.0,"wrong value for (0,1)") self.assertEqual(val[1,0],0.0,"wrong value for (1,0)") self.assertEqual(val[1,1],1.0,"wrong value for (1,1)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_kronecker_3(self): val=kronecker(d=3) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val[0,0],1.0,"wrong value for (0,0)") self.assertEqual(val[0,1],0.0,"wrong value for (0,1)") self.assertEqual(val[0,2],0.0,"wrong value for (0,2)") self.assertEqual(val[1,0],0.0,"wrong value for (1,0)") self.assertEqual(val[1,1],1.0,"wrong value for (1,1)") self.assertEqual(val[1,2],0.0,"wrong value for (1,2)") self.assertEqual(val[2,0],0.0,"wrong value for (2,0)") self.assertEqual(val[2,1],0.0,"wrong value for (2,1)") self.assertEqual(val[2,2],1.0,"wrong value for (2,2)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_kronecker_domain(self): val=kronecker(d=self.domain) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val.shape,(self.domain.getDim(),self.domain.getDim()),"wrong shape.") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_kronecker_functionspace(self): val=kronecker(d=self.functionspace) self.assertTrue(isinstance(val,escript.Data),"wrong type of result.") self.assertEqual(val.getShape(),(self.functionspace.getDim(),self.functionspace.getDim()),"wrong shape.") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_identityTensor_1(self): val=identityTensor(d=1) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val[0,0],1.0,"wrong value for (0,0)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_identityTensor_2(self): val=identityTensor(d=2) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val[0,0],1.0,"wrong value for (0,0)") self.assertEqual(val[0,1],0.0,"wrong value for (0,1)") self.assertEqual(val[1,0],0.0,"wrong value for (1,0)") self.assertEqual(val[1,1],1.0,"wrong value for (1,1)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_identityTensor_3(self): val=identityTensor(d=3) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val[0,0],1.0,"wrong value for (0,0)") self.assertEqual(val[0,1],0.0,"wrong value for (0,1)") self.assertEqual(val[0,2],0.0,"wrong value for (0,2)") self.assertEqual(val[1,0],0.0,"wrong value for (1,0)") self.assertEqual(val[1,1],1.0,"wrong value for (1,1)") self.assertEqual(val[1,2],0.0,"wrong value for (1,2)") self.assertEqual(val[2,0],0.0,"wrong value for (2,0)") self.assertEqual(val[2,1],0.0,"wrong value for (2,1)") self.assertEqual(val[2,2],1.0,"wrong value for (2,2)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_identityTensor_domain(self): val=identityTensor(d=self.domain) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val.shape,(self.domain.getDim(),self.domain.getDim()),"wrong shape.") if self.domain.getDim()==2: self.assertEqual(val[0,0],1.0,"wrong value for (0,0)") self.assertEqual(val[0,1],0.0,"wrong value for (0,1)") self.assertEqual(val[1,0],0.0,"wrong value for (1,0)") self.assertEqual(val[1,1],1.0,"wrong value for (1,1)") if self.domain.getDim()==3: self.assertEqual(val[0,0],1.0,"wrong value for (0,0)") self.assertEqual(val[0,1],0.0,"wrong value for (0,1)") self.assertEqual(val[0,2],0.0,"wrong value for (0,2)") self.assertEqual(val[1,0],0.0,"wrong value for (1,0)") self.assertEqual(val[1,1],1.0,"wrong value for (1,1)") self.assertEqual(val[1,2],0.0,"wrong value for (1,2)") self.assertEqual(val[2,0],0.0,"wrong value for (2,0)") self.assertEqual(val[2,1],0.0,"wrong value for (2,1)") self.assertEqual(val[2,2],1.0,"wrong value for (2,2)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_identityTensor_functionspace(self): val=identityTensor(d=self.functionspace) self.assertTrue(isinstance(val,escript.Data),"wrong type of result.") self.assertEqual(val.getShape(),(self.functionspace.getDim(),self.functionspace.getDim()),"wrong shape.") if self.domain.getDim()==2: self.assertTrue(Lsup(val[0,0]-1.0)<=self.RES_TOL,"wrong value for (0,0)") self.assertTrue(Lsup(val[0,1]-0.0)<=self.RES_TOL,"wrong value for (0,1)") self.assertTrue(Lsup(val[1,0]-0.0)<=self.RES_TOL,"wrong value for (1,0)") self.assertTrue(Lsup(val[1,1]-1.0)<=self.RES_TOL,"wrong value for (1,1)") if self.domain.getDim()==3: self.assertTrue(Lsup(val[0,0]-1.0)<=self.RES_TOL,"wrong value for (0,0)") self.assertTrue(Lsup(val[0,1]-0.0)<=self.RES_TOL,"wrong value for (0,1)") self.assertTrue(Lsup(val[0,2]-0.0)<=self.RES_TOL,"wrong value for (0,2)") self.assertTrue(Lsup(val[1,0]-0.0)<=self.RES_TOL,"wrong value for (1,0)") self.assertTrue(Lsup(val[1,1]-1.0)<=self.RES_TOL,"wrong value for (1,1)") self.assertTrue(Lsup(val[1,2]-0.0)<=self.RES_TOL,"wrong value for (1,2)") self.assertTrue(Lsup(val[2,0]-0.0)<=self.RES_TOL,"wrong value for (2,0)") self.assertTrue(Lsup(val[2,1]-0.0)<=self.RES_TOL,"wrong value for (2,1)") self.assertTrue(Lsup(val[2,2]-1.0)<=self.RES_TOL,"wrong value for (2,2)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_identityTensor4_1(self): val=identityTensor4(d=1) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val[0,0,0,0],1.0,"wrong value for (0,0,0,0)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_identityTensor4_2(self): val=identityTensor4(d=2) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val[0,0,0,0],1.0,"wrong value for (0,0,0,0)") self.assertEqual(val[0,0,0,1],0.0,"wrong value for (0,0,0,1)") self.assertEqual(val[0,0,1,0],0.0,"wrong value for (0,0,1,0)") self.assertEqual(val[0,0,1,1],0.0,"wrong value for (0,0,1,1)") self.assertEqual(val[0,1,0,0],0.0,"wrong value for (0,1,0,0)") self.assertEqual(val[0,1,0,1],1.0,"wrong value for (0,1,0,1)") self.assertEqual(val[0,1,1,0],0.0,"wrong value for (0,1,1,0)") self.assertEqual(val[0,1,1,1],0.0,"wrong value for (0,1,1,1)") self.assertEqual(val[1,0,0,0],0.0,"wrong value for (1,0,0,0)") self.assertEqual(val[1,0,0,1],0.0,"wrong value for (1,0,0,1)") self.assertEqual(val[1,0,1,0],1.0,"wrong value for (1,0,1,0)") self.assertEqual(val[1,0,1,1],0.0,"wrong value for (1,0,1,1)") self.assertEqual(val[1,1,0,0],0.0,"wrong value for (1,1,0,0)") self.assertEqual(val[1,1,0,1],0.0,"wrong value for (1,1,0,1)") self.assertEqual(val[1,1,1,0],0.0,"wrong value for (1,1,1,0)") self.assertEqual(val[1,1,1,1],1.0,"wrong value for (1,1,1,1)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_identityTensor4_3(self): val=identityTensor4(d=3) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val[0,0,0,0],1.0,"wrong value for (0,0,0,0)") self.assertEqual(val[0,0,0,1],0.0,"wrong value for (0,0,0,1)") self.assertEqual(val[0,0,0,2],0.0,"wrong value for (0,0,0,2)") self.assertEqual(val[0,0,1,0],0.0,"wrong value for (0,0,1,0)") self.assertEqual(val[0,0,1,1],0.0,"wrong value for (0,0,1,1)") self.assertEqual(val[0,0,1,2],0.0,"wrong value for (0,0,1,2)") self.assertEqual(val[0,0,2,0],0.0,"wrong value for (0,0,2,0)") self.assertEqual(val[0,0,2,1],0.0,"wrong value for (0,0,2,1)") self.assertEqual(val[0,0,2,2],0.0,"wrong value for (0,0,2,2)") self.assertEqual(val[0,1,0,0],0.0,"wrong value for (0,1,0,0)") self.assertEqual(val[0,1,0,1],1.0,"wrong value for (0,1,0,1)") self.assertEqual(val[0,1,0,2],0.0,"wrong value for (0,1,0,2)") self.assertEqual(val[0,1,1,0],0.0,"wrong value for (0,1,1,0)") self.assertEqual(val[0,1,1,1],0.0,"wrong value for (0,1,1,1)") self.assertEqual(val[0,1,1,2],0.0,"wrong value for (0,1,1,2)") self.assertEqual(val[0,1,2,0],0.0,"wrong value for (0,1,2,0)") self.assertEqual(val[0,1,2,1],0.0,"wrong value for (0,1,2,1)") self.assertEqual(val[0,1,2,2],0.0,"wrong value for (0,1,2,2)") self.assertEqual(val[0,2,0,0],0.0,"wrong value for (0,2,0,0)") self.assertEqual(val[0,2,0,1],0.0,"wrong value for (0,2,0,1)") self.assertEqual(val[0,2,0,2],1.0,"wrong value for (0,2,0,2)") self.assertEqual(val[0,2,1,0],0.0,"wrong value for (0,2,1,0)") self.assertEqual(val[0,2,1,1],0.0,"wrong value for (0,2,1,1)") self.assertEqual(val[0,2,1,2],0.0,"wrong value for (0,2,1,2)") self.assertEqual(val[0,2,2,0],0.0,"wrong value for (0,2,2,0)") self.assertEqual(val[0,2,2,1],0.0,"wrong value for (0,2,2,1)") self.assertEqual(val[0,2,2,2],0.0,"wrong value for (0,2,2,2)") self.assertEqual(val[1,0,0,0],0.0,"wrong value for (1,0,0,0)") self.assertEqual(val[1,0,0,1],0.0,"wrong value for (1,0,0,1)") self.assertEqual(val[1,0,0,2],0.0,"wrong value for (1,0,0,2)") self.assertEqual(val[1,0,1,0],1.0,"wrong value for (1,0,1,0)") self.assertEqual(val[1,0,1,1],0.0,"wrong value for (1,0,1,1)") self.assertEqual(val[1,0,1,2],0.0,"wrong value for (1,0,1,2)") self.assertEqual(val[1,0,2,0],0.0,"wrong value for (1,0,2,0)") self.assertEqual(val[1,0,2,1],0.0,"wrong value for (1,0,2,1)") self.assertEqual(val[1,0,2,2],0.0,"wrong value for (1,0,2,2)") self.assertEqual(val[1,1,0,0],0.0,"wrong value for (1,1,0,0)") self.assertEqual(val[1,1,0,1],0.0,"wrong value for (1,1,0,1)") self.assertEqual(val[1,1,0,2],0.0,"wrong value for (1,1,0,2)") self.assertEqual(val[1,1,1,0],0.0,"wrong value for (1,1,1,0)") self.assertEqual(val[1,1,1,1],1.0,"wrong value for (1,1,1,1)") self.assertEqual(val[1,1,1,2],0.0,"wrong value for (1,1,1,2)") self.assertEqual(val[1,1,2,0],0.0,"wrong value for (1,1,2,0)") self.assertEqual(val[1,1,2,1],0.0,"wrong value for (1,1,2,1)") self.assertEqual(val[1,1,2,2],0.0,"wrong value for (1,1,2,2)") self.assertEqual(val[1,2,0,0],0.0,"wrong value for (1,2,0,0)") self.assertEqual(val[1,2,0,1],0.0,"wrong value for (1,2,0,1)") self.assertEqual(val[1,2,0,2],0.0,"wrong value for (1,2,0,2)") self.assertEqual(val[1,2,1,0],0.0,"wrong value for (1,2,1,0)") self.assertEqual(val[1,2,1,1],0.0,"wrong value for (1,2,1,1)") self.assertEqual(val[1,2,1,2],1.0,"wrong value for (1,2,1,2)") self.assertEqual(val[1,2,2,0],0.0,"wrong value for (1,2,2,0)") self.assertEqual(val[1,2,2,1],0.0,"wrong value for (1,2,2,1)") self.assertEqual(val[1,2,2,2],0.0,"wrong value for (1,2,2,2)") self.assertEqual(val[2,0,0,0],0.0,"wrong value for (2,0,0,0)") self.assertEqual(val[2,0,0,1],0.0,"wrong value for (2,0,0,1)") self.assertEqual(val[2,0,0,2],0.0,"wrong value for (2,0,0,2)") self.assertEqual(val[2,0,1,0],0.0,"wrong value for (2,0,1,0)") self.assertEqual(val[2,0,1,1],0.0,"wrong value for (2,0,1,1)") self.assertEqual(val[2,0,1,2],0.0,"wrong value for (2,0,1,2)") self.assertEqual(val[2,0,2,0],1.0,"wrong value for (2,0,2,0)") self.assertEqual(val[2,0,2,1],0.0,"wrong value for (2,0,2,1)") self.assertEqual(val[2,0,2,2],0.0,"wrong value for (2,0,2,2)") self.assertEqual(val[2,1,0,0],0.0,"wrong value for (2,1,0,0)") self.assertEqual(val[2,1,0,1],0.0,"wrong value for (2,1,0,1)") self.assertEqual(val[2,1,0,2],0.0,"wrong value for (2,1,0,2)") self.assertEqual(val[2,1,1,0],0.0,"wrong value for (2,1,1,0)") self.assertEqual(val[2,1,1,1],0.0,"wrong value for (2,1,1,1)") self.assertEqual(val[2,1,1,2],0.0,"wrong value for (2,1,1,2)") self.assertEqual(val[2,1,2,0],0.0,"wrong value for (2,1,2,0)") self.assertEqual(val[2,1,2,1],1.0,"wrong value for (2,1,2,1)") self.assertEqual(val[2,1,2,2],0.0,"wrong value for (2,1,2,2)") self.assertEqual(val[2,2,0,0],0.0,"wrong value for (2,2,0,0)") self.assertEqual(val[2,2,0,1],0.0,"wrong value for (2,2,0,1)") self.assertEqual(val[2,2,0,2],0.0,"wrong value for (2,2,0,2)") self.assertEqual(val[2,2,1,0],0.0,"wrong value for (2,2,1,0)") self.assertEqual(val[2,2,1,1],0.0,"wrong value for (2,2,1,1)") self.assertEqual(val[2,2,1,2],0.0,"wrong value for (2,2,1,2)") self.assertEqual(val[2,2,2,0],0.0,"wrong value for (2,2,2,0)") self.assertEqual(val[2,2,2,1],0.0,"wrong value for (2,2,2,1)") self.assertEqual(val[2,2,2,2],1.0,"wrong value for (2,2,2,2)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_identityTensor4_domain(self): val=identityTensor4(d=self.domain) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val.shape,(self.domain.getDim(),self.domain.getDim(),self.domain.getDim(),self.domain.getDim()),"wrong shape.") if self.domain.getDim()==2: self.assertEqual(val[0,0,0,0],1.0,"wrong value for (0,0,0,0)") self.assertEqual(val[0,0,0,1],0.0,"wrong value for (0,0,0,1)") self.assertEqual(val[0,0,1,0],0.0,"wrong value for (0,0,1,0)") self.assertEqual(val[0,0,1,1],0.0,"wrong value for (0,0,1,1)") self.assertEqual(val[0,1,0,0],0.0,"wrong value for (0,1,0,0)") self.assertEqual(val[0,1,0,1],1.0,"wrong value for (0,1,0,1)") self.assertEqual(val[0,1,1,0],0.0,"wrong value for (0,1,1,0)") self.assertEqual(val[0,1,1,1],0.0,"wrong value for (0,1,1,1)") self.assertEqual(val[1,0,0,0],0.0,"wrong value for (1,0,0,0)") self.assertEqual(val[1,0,0,1],0.0,"wrong value for (1,0,0,1)") self.assertEqual(val[1,0,1,0],1.0,"wrong value for (1,0,1,0)") self.assertEqual(val[1,0,1,1],0.0,"wrong value for (1,0,1,1)") self.assertEqual(val[1,1,0,0],0.0,"wrong value for (1,1,0,0)") self.assertEqual(val[1,1,0,1],0.0,"wrong value for (1,1,0,1)") self.assertEqual(val[1,1,1,0],0.0,"wrong value for (1,1,1,0)") self.assertEqual(val[1,1,1,1],1.0,"wrong value for (1,1,1,1)") if self.domain.getDim()==3: self.assertEqual(val[0,0,0,0],1.0,"wrong value for (0,0,0,0)") self.assertEqual(val[0,0,0,1],0.0,"wrong value for (0,0,0,1)") self.assertEqual(val[0,0,0,2],0.0,"wrong value for (0,0,0,2)") self.assertEqual(val[0,0,1,0],0.0,"wrong value for (0,0,1,0)") self.assertEqual(val[0,0,1,1],0.0,"wrong value for (0,0,1,1)") self.assertEqual(val[0,0,1,2],0.0,"wrong value for (0,0,1,2)") self.assertEqual(val[0,0,2,0],0.0,"wrong value for (0,0,2,0)") self.assertEqual(val[0,0,2,1],0.0,"wrong value for (0,0,2,1)") self.assertEqual(val[0,0,2,2],0.0,"wrong value for (0,0,2,2)") self.assertEqual(val[0,1,0,0],0.0,"wrong value for (0,1,0,0)") self.assertEqual(val[0,1,0,1],1.0,"wrong value for (0,1,0,1)") self.assertEqual(val[0,1,0,2],0.0,"wrong value for (0,1,0,2)") self.assertEqual(val[0,1,1,0],0.0,"wrong value for (0,1,1,0)") self.assertEqual(val[0,1,1,1],0.0,"wrong value for (0,1,1,1)") self.assertEqual(val[0,1,1,2],0.0,"wrong value for (0,1,1,2)") self.assertEqual(val[0,1,2,0],0.0,"wrong value for (0,1,2,0)") self.assertEqual(val[0,1,2,1],0.0,"wrong value for (0,1,2,1)") self.assertEqual(val[0,1,2,2],0.0,"wrong value for (0,1,2,2)") self.assertEqual(val[0,2,0,0],0.0,"wrong value for (0,2,0,0)") self.assertEqual(val[0,2,0,1],0.0,"wrong value for (0,2,0,1)") self.assertEqual(val[0,2,0,2],1.0,"wrong value for (0,2,0,2)") self.assertEqual(val[0,2,1,0],0.0,"wrong value for (0,2,1,0)") self.assertEqual(val[0,2,1,1],0.0,"wrong value for (0,2,1,1)") self.assertEqual(val[0,2,1,2],0.0,"wrong value for (0,2,1,2)") self.assertEqual(val[0,2,2,0],0.0,"wrong value for (0,2,2,0)") self.assertEqual(val[0,2,2,1],0.0,"wrong value for (0,2,2,1)") self.assertEqual(val[0,2,2,2],0.0,"wrong value for (0,2,2,2)") self.assertEqual(val[1,0,0,0],0.0,"wrong value for (1,0,0,0)") self.assertEqual(val[1,0,0,1],0.0,"wrong value for (1,0,0,1)") self.assertEqual(val[1,0,0,2],0.0,"wrong value for (1,0,0,2)") self.assertEqual(val[1,0,1,0],1.0,"wrong value for (1,0,1,0)") self.assertEqual(val[1,0,1,1],0.0,"wrong value for (1,0,1,1)") self.assertEqual(val[1,0,1,2],0.0,"wrong value for (1,0,1,2)") self.assertEqual(val[1,0,2,0],0.0,"wrong value for (1,0,2,0)") self.assertEqual(val[1,0,2,1],0.0,"wrong value for (1,0,2,1)") self.assertEqual(val[1,0,2,2],0.0,"wrong value for (1,0,2,2)") self.assertEqual(val[1,1,0,0],0.0,"wrong value for (1,1,0,0)") self.assertEqual(val[1,1,0,1],0.0,"wrong value for (1,1,0,1)") self.assertEqual(val[1,1,0,2],0.0,"wrong value for (1,1,0,2)") self.assertEqual(val[1,1,1,0],0.0,"wrong value for (1,1,1,0)") self.assertEqual(val[1,1,1,1],1.0,"wrong value for (1,1,1,1)") self.assertEqual(val[1,1,1,2],0.0,"wrong value for (1,1,1,2)") self.assertEqual(val[1,1,2,0],0.0,"wrong value for (1,1,2,0)") self.assertEqual(val[1,1,2,1],0.0,"wrong value for (1,1,2,1)") self.assertEqual(val[1,1,2,2],0.0,"wrong value for (1,1,2,2)") self.assertEqual(val[1,2,0,0],0.0,"wrong value for (1,2,0,0)") self.assertEqual(val[1,2,0,1],0.0,"wrong value for (1,2,0,1)") self.assertEqual(val[1,2,0,2],0.0,"wrong value for (1,2,0,2)") self.assertEqual(val[1,2,1,0],0.0,"wrong value for (1,2,1,0)") self.assertEqual(val[1,2,1,1],0.0,"wrong value for (1,2,1,1)") self.assertEqual(val[1,2,1,2],1.0,"wrong value for (1,2,1,2)") self.assertEqual(val[1,2,2,0],0.0,"wrong value for (1,2,2,0)") self.assertEqual(val[1,2,2,1],0.0,"wrong value for (1,2,2,1)") self.assertEqual(val[1,2,2,2],0.0,"wrong value for (1,2,2,2)") self.assertEqual(val[2,0,0,0],0.0,"wrong value for (2,0,0,0)") self.assertEqual(val[2,0,0,1],0.0,"wrong value for (2,0,0,1)") self.assertEqual(val[2,0,0,2],0.0,"wrong value for (2,0,0,2)") self.assertEqual(val[2,0,1,0],0.0,"wrong value for (2,0,1,0)") self.assertEqual(val[2,0,1,1],0.0,"wrong value for (2,0,1,1)") self.assertEqual(val[2,0,1,2],0.0,"wrong value for (2,0,1,2)") self.assertEqual(val[2,0,2,0],1.0,"wrong value for (2,0,2,0)") self.assertEqual(val[2,0,2,1],0.0,"wrong value for (2,0,2,1)") self.assertEqual(val[2,0,2,2],0.0,"wrong value for (2,0,2,2)") self.assertEqual(val[2,1,0,0],0.0,"wrong value for (2,1,0,0)") self.assertEqual(val[2,1,0,1],0.0,"wrong value for (2,1,0,1)") self.assertEqual(val[2,1,0,2],0.0,"wrong value for (2,1,0,2)") self.assertEqual(val[2,1,1,0],0.0,"wrong value for (2,1,1,0)") self.assertEqual(val[2,1,1,1],0.0,"wrong value for (2,1,1,1)") self.assertEqual(val[2,1,1,2],0.0,"wrong value for (2,1,1,2)") self.assertEqual(val[2,1,2,0],0.0,"wrong value for (2,1,2,0)") self.assertEqual(val[2,1,2,1],1.0,"wrong value for (2,1,2,1)") self.assertEqual(val[2,1,2,2],0.0,"wrong value for (2,1,2,2)") self.assertEqual(val[2,2,0,0],0.0,"wrong value for (2,2,0,0)") self.assertEqual(val[2,2,0,1],0.0,"wrong value for (2,2,0,1)") self.assertEqual(val[2,2,0,2],0.0,"wrong value for (2,2,0,2)") self.assertEqual(val[2,2,1,0],0.0,"wrong value for (2,2,1,0)") self.assertEqual(val[2,2,1,1],0.0,"wrong value for (2,2,1,1)") self.assertEqual(val[2,2,1,2],0.0,"wrong value for (2,2,1,2)") self.assertEqual(val[2,2,2,0],0.0,"wrong value for (2,2,2,0)") self.assertEqual(val[2,2,2,1],0.0,"wrong value for (2,2,2,1)") self.assertEqual(val[2,2,2,2],1.0,"wrong value for (2,2,2,2)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_identityTensor4_functionspace(self): val=identityTensor4(d=self.functionspace) self.assertTrue(isinstance(val,escript.Data),"wrong type of result.") self.assertEqual(val.getShape(),(self.functionspace.getDim(),self.functionspace.getDim(),self.functionspace.getDim(),self.functionspace.getDim()),"wrong shape.") if self.domain.getDim()==2: self.assertTrue(Lsup(val[0,0,0,0]-1.0)<=self.RES_TOL,"wrong value for (0,0,0,0)") self.assertTrue(Lsup(val[0,0,0,1]-0.0)<=self.RES_TOL,"wrong value for (0,0,0,1)") self.assertTrue(Lsup(val[0,0,1,0]-0.0)<=self.RES_TOL,"wrong value for (0,0,1,0)") self.assertTrue(Lsup(val[0,0,1,1]-0.0)<=self.RES_TOL,"wrong value for (0,0,1,1)") self.assertTrue(Lsup(val[0,1,0,0]-0.0)<=self.RES_TOL,"wrong value for (0,1,0,0)") self.assertTrue(Lsup(val[0,1,0,1]-1.0)<=self.RES_TOL,"wrong value for (0,1,0,1)") self.assertTrue(Lsup(val[0,1,1,0]-0.0)<=self.RES_TOL,"wrong value for (0,1,1,0)") self.assertTrue(Lsup(val[0,1,1,1]-0.0)<=self.RES_TOL,"wrong value for (0,1,1,1)") self.assertTrue(Lsup(val[1,0,0,0]-0.0)<=self.RES_TOL,"wrong value for (1,0,0,0)") self.assertTrue(Lsup(val[1,0,0,1]-0.0)<=self.RES_TOL,"wrong value for (1,0,0,1)") self.assertTrue(Lsup(val[1,0,1,0]-1.0)<=self.RES_TOL,"wrong value for (1,0,1,0)") self.assertTrue(Lsup(val[1,0,1,1]-0.0)<=self.RES_TOL,"wrong value for (1,0,1,1)") self.assertTrue(Lsup(val[1,1,0,0]-0.0)<=self.RES_TOL,"wrong value for (1,1,0,0)") self.assertTrue(Lsup(val[1,1,0,1]-0.0)<=self.RES_TOL,"wrong value for (1,1,0,1)") self.assertTrue(Lsup(val[1,1,1,0]-0.0)<=self.RES_TOL,"wrong value for (1,1,1,0)") self.assertTrue(Lsup(val[1,1,1,1]-1.0)<=self.RES_TOL,"wrong value for (1,1,1,1)") if self.domain.getDim()==3: self.assertTrue(Lsup(val[0,0,0,0]-1.0)<=self.RES_TOL,"wrong value for (0,0,0,0)") self.assertTrue(Lsup(val[0,0,0,1]-0.0)<=self.RES_TOL,"wrong value for (0,0,0,1)") self.assertTrue(Lsup(val[0,0,0,2]-0.0)<=self.RES_TOL,"wrong value for (0,0,0,2)") self.assertTrue(Lsup(val[0,0,1,0]-0.0)<=self.RES_TOL,"wrong value for (0,0,1,0)") self.assertTrue(Lsup(val[0,0,1,1]-0.0)<=self.RES_TOL,"wrong value for (0,0,1,1)") self.assertTrue(Lsup(val[0,0,1,2]-0.0)<=self.RES_TOL,"wrong value for (0,0,1,2)") self.assertTrue(Lsup(val[0,0,2,0]-0.0)<=self.RES_TOL,"wrong value for (0,0,2,0)") self.assertTrue(Lsup(val[0,0,2,1]-0.0)<=self.RES_TOL,"wrong value for (0,0,2,1)") self.assertTrue(Lsup(val[0,0,2,2]-0.0)<=self.RES_TOL,"wrong value for (0,0,2,2)") self.assertTrue(Lsup(val[0,1,0,0]-0.0)<=self.RES_TOL,"wrong value for (0,1,0,0)") self.assertTrue(Lsup(val[0,1,0,1]-1.0)<=self.RES_TOL,"wrong value for (0,1,0,1)") self.assertTrue(Lsup(val[0,1,0,2]-0.0)<=self.RES_TOL,"wrong value for (0,1,0,2)") self.assertTrue(Lsup(val[0,1,1,0]-0.0)<=self.RES_TOL,"wrong value for (0,1,1,0)") self.assertTrue(Lsup(val[0,1,1,1]-0.0)<=self.RES_TOL,"wrong value for (0,1,1,1)") self.assertTrue(Lsup(val[0,1,1,2]-0.0)<=self.RES_TOL,"wrong value for (0,1,1,2)") self.assertTrue(Lsup(val[0,1,2,0]-0.0)<=self.RES_TOL,"wrong value for (0,1,2,0)") self.assertTrue(Lsup(val[0,1,2,1]-0.0)<=self.RES_TOL,"wrong value for (0,1,2,1)") self.assertTrue(Lsup(val[0,1,2,2]-0.0)<=self.RES_TOL,"wrong value for (0,1,2,2)") self.assertTrue(Lsup(val[0,2,0,0]-0.0)<=self.RES_TOL,"wrong value for (0,2,0,0)") self.assertTrue(Lsup(val[0,2,0,1]-0.0)<=self.RES_TOL,"wrong value for (0,2,0,1)") self.assertTrue(Lsup(val[0,2,0,2]-1.0)<=self.RES_TOL,"wrong value for (0,2,0,2)") self.assertTrue(Lsup(val[0,2,1,0]-0.0)<=self.RES_TOL,"wrong value for (0,2,1,0)") self.assertTrue(Lsup(val[0,2,1,1]-0.0)<=self.RES_TOL,"wrong value for (0,2,1,1)") self.assertTrue(Lsup(val[0,2,1,2]-0.0)<=self.RES_TOL,"wrong value for (0,2,1,2)") self.assertTrue(Lsup(val[0,2,2,0]-0.0)<=self.RES_TOL,"wrong value for (0,2,2,0)") self.assertTrue(Lsup(val[0,2,2,1]-0.0)<=self.RES_TOL,"wrong value for (0,2,2,1)") self.assertTrue(Lsup(val[0,2,2,2]-0.0)<=self.RES_TOL,"wrong value for (0,2,2,2)") self.assertTrue(Lsup(val[1,0,0,0]-0.0)<=self.RES_TOL,"wrong value for (1,0,0,0)") self.assertTrue(Lsup(val[1,0,0,1]-0.0)<=self.RES_TOL,"wrong value for (1,0,0,1)") self.assertTrue(Lsup(val[1,0,0,2]-0.0)<=self.RES_TOL,"wrong value for (1,0,0,2)") self.assertTrue(Lsup(val[1,0,1,0]-1.0)<=self.RES_TOL,"wrong value for (1,0,1,0)") self.assertTrue(Lsup(val[1,0,1,1]-0.0)<=self.RES_TOL,"wrong value for (1,0,1,1)") self.assertTrue(Lsup(val[1,0,1,2]-0.0)<=self.RES_TOL,"wrong value for (1,0,1,2)") self.assertTrue(Lsup(val[1,0,2,0]-0.0)<=self.RES_TOL,"wrong value for (1,0,2,0)") self.assertTrue(Lsup(val[1,0,2,1]-0.0)<=self.RES_TOL,"wrong value for (1,0,2,1)") self.assertTrue(Lsup(val[1,0,2,2]-0.0)<=self.RES_TOL,"wrong value for (1,0,2,2)") self.assertTrue(Lsup(val[1,1,0,0]-0.0)<=self.RES_TOL,"wrong value for (1,1,0,0)") self.assertTrue(Lsup(val[1,1,0,1]-0.0)<=self.RES_TOL,"wrong value for (1,1,0,1)") self.assertTrue(Lsup(val[1,1,0,2]-0.0)<=self.RES_TOL,"wrong value for (1,1,0,2)") self.assertTrue(Lsup(val[1,1,1,0]-0.0)<=self.RES_TOL,"wrong value for (1,1,1,0)") self.assertTrue(Lsup(val[1,1,1,1]-1.0)<=self.RES_TOL,"wrong value for (1,1,1,1)") self.assertTrue(Lsup(val[1,1,1,2]-0.0)<=self.RES_TOL,"wrong value for (1,1,1,2)") self.assertTrue(Lsup(val[1,1,2,0]-0.0)<=self.RES_TOL,"wrong value for (1,1,2,0)") self.assertTrue(Lsup(val[1,1,2,1]-0.0)<=self.RES_TOL,"wrong value for (1,1,2,1)") self.assertTrue(Lsup(val[1,1,2,2]-0.0)<=self.RES_TOL,"wrong value for (1,1,2,2)") self.assertTrue(Lsup(val[1,2,0,0]-0.0)<=self.RES_TOL,"wrong value for (1,2,0,0)") self.assertTrue(Lsup(val[1,2,0,1]-0.0)<=self.RES_TOL,"wrong value for (1,2,0,1)") self.assertTrue(Lsup(val[1,2,0,2]-0.0)<=self.RES_TOL,"wrong value for (1,2,0,2)") self.assertTrue(Lsup(val[1,2,1,0]-0.0)<=self.RES_TOL,"wrong value for (1,2,1,0)") self.assertTrue(Lsup(val[1,2,1,1]-0.0)<=self.RES_TOL,"wrong value for (1,2,1,1)") self.assertTrue(Lsup(val[1,2,1,2]-1.0)<=self.RES_TOL,"wrong value for (1,2,1,2)") self.assertTrue(Lsup(val[1,2,2,0]-0.0)<=self.RES_TOL,"wrong value for (1,2,2,0)") self.assertTrue(Lsup(val[1,2,2,1]-0.0)<=self.RES_TOL,"wrong value for (1,2,2,1)") self.assertTrue(Lsup(val[1,2,2,2]-0.0)<=self.RES_TOL,"wrong value for (1,2,2,2)") self.assertTrue(Lsup(val[2,0,0,0]-0.0)<=self.RES_TOL,"wrong value for (2,0,0,0)") self.assertTrue(Lsup(val[2,0,0,1]-0.0)<=self.RES_TOL,"wrong value for (2,0,0,1)") self.assertTrue(Lsup(val[2,0,0,2]-0.0)<=self.RES_TOL,"wrong value for (2,0,0,2)") self.assertTrue(Lsup(val[2,0,1,0]-0.0)<=self.RES_TOL,"wrong value for (2,0,1,0)") self.assertTrue(Lsup(val[2,0,1,1]-0.0)<=self.RES_TOL,"wrong value for (2,0,1,1)") self.assertTrue(Lsup(val[2,0,1,2]-0.0)<=self.RES_TOL,"wrong value for (2,0,1,2)") self.assertTrue(Lsup(val[2,0,2,0]-1.0)<=self.RES_TOL,"wrong value for (2,0,2,0)") self.assertTrue(Lsup(val[2,0,2,1]-0.0)<=self.RES_TOL,"wrong value for (2,0,2,1)") self.assertTrue(Lsup(val[2,0,2,2]-0.0)<=self.RES_TOL,"wrong value for (2,0,2,2)") self.assertTrue(Lsup(val[2,1,0,0]-0.0)<=self.RES_TOL,"wrong value for (2,1,0,0)") self.assertTrue(Lsup(val[2,1,0,1]-0.0)<=self.RES_TOL,"wrong value for (2,1,0,1)") self.assertTrue(Lsup(val[2,1,0,2]-0.0)<=self.RES_TOL,"wrong value for (2,1,0,2)") self.assertTrue(Lsup(val[2,1,1,0]-0.0)<=self.RES_TOL,"wrong value for (2,1,1,0)") self.assertTrue(Lsup(val[2,1,1,1]-0.0)<=self.RES_TOL,"wrong value for (2,1,1,1)") self.assertTrue(Lsup(val[2,1,1,2]-0.0)<=self.RES_TOL,"wrong value for (2,1,1,2)") self.assertTrue(Lsup(val[2,1,2,0]-0.0)<=self.RES_TOL,"wrong value for (2,1,2,0)") self.assertTrue(Lsup(val[2,1,2,1]-1.0)<=self.RES_TOL,"wrong value for (2,1,2,1)") self.assertTrue(Lsup(val[2,1,2,2]-0.0)<=self.RES_TOL,"wrong value for (2,1,2,2)") self.assertTrue(Lsup(val[2,2,0,0]-0.0)<=self.RES_TOL,"wrong value for (2,2,0,0)") self.assertTrue(Lsup(val[2,2,0,1]-0.0)<=self.RES_TOL,"wrong value for (2,2,0,1)") self.assertTrue(Lsup(val[2,2,0,2]-0.0)<=self.RES_TOL,"wrong value for (2,2,0,2)") self.assertTrue(Lsup(val[2,2,1,0]-0.0)<=self.RES_TOL,"wrong value for (2,2,1,0)") self.assertTrue(Lsup(val[2,2,1,1]-0.0)<=self.RES_TOL,"wrong value for (2,2,1,1)") self.assertTrue(Lsup(val[2,2,1,2]-0.0)<=self.RES_TOL,"wrong value for (2,2,1,2)") self.assertTrue(Lsup(val[2,2,2,0]-0.0)<=self.RES_TOL,"wrong value for (2,2,2,0)") self.assertTrue(Lsup(val[2,2,2,1]-0.0)<=self.RES_TOL,"wrong value for (2,2,2,1)") self.assertTrue(Lsup(val[2,2,2,2]-1.0)<=self.RES_TOL,"wrong value for (2,2,2,2)") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_unitVector_1(self): val=unitVector(i=0,d=1) self.assertEqual(val[0],1.0,"wrong value for 0 in the 0 vector") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_unitVector_2(self): val=unitVector(i=0,d=2) self.assertEqual(val[0],1.0,"wrong value for 0 in the 0 vector") self.assertEqual(val[1],0.0,"wrong value for 1 in the 0 vector") val=unitVector(i=1,d=2) self.assertEqual(val[0],0.0,"wrong value for 0 in the 1 vector") self.assertEqual(val[1],1.0,"wrong value for 1 in the 1 vector") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_unitVector_3(self): val=unitVector(i=0,d=3) self.assertEqual(val[0],1.0,"wrong value for 0 in the 0 vector") self.assertEqual(val[1],0.0,"wrong value for 1 in the 0 vector") self.assertEqual(val[2],0.0,"wrong value for 2 in the 0 vector") val=unitVector(i=1,d=3) self.assertEqual(val[0],0.0,"wrong value for 0 in the 1 vector") self.assertEqual(val[1],1.0,"wrong value for 1 in the 1 vector") self.assertEqual(val[2],0.0,"wrong value for 2 in the 1 vector") val=unitVector(i=2,d=3) self.assertEqual(val[0],0.0,"wrong value for 0 in the 2 vector") self.assertEqual(val[1],0.0,"wrong value for 1 in the 2 vector") self.assertEqual(val[2],1.0,"wrong value for 2 in the 2 vector") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_unitVector_domain(self): val=unitVector(i=0,d=self.domain) self.assertTrue(isinstance(val,numpy.ndarray),"wrong type of result.") self.assertEqual(val.shape,(self.domain.getDim(),),"wrong shape.") if self.domain.getDim()==2: self.assertEqual(val[0],1.0,"wrong value for 0 in the 0 vector") self.assertEqual(val[1],0.0,"wrong value for 1 in the 0 vector") if self.domain.getDim()==3: self.assertEqual(val[0],1.0,"wrong value for 0 in the 0 vector") self.assertEqual(val[1],0.0,"wrong value for 1 in the 0 vector") self.assertEqual(val[2],0.0,"wrong value for 2 in the 0 vector") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_unitVector_functionspace(self): val=unitVector(i=0,d=self.functionspace) self.assertTrue(isinstance(val,escript.Data),"wrong type of result.") self.assertEqual(val.getShape(),(self.functionspace.getDim(),),"wrong shape.") if self.domain.getDim()==2: self.assertTrue(Lsup(val[0]-1.0)<=self.RES_TOL,"wrong value for 0 in the 0 vector") self.assertTrue(Lsup(val[1]-0.0)<=self.RES_TOL,"wrong value for 1 in the 0 vector") if self.domain.getDim()==3: self.assertTrue(Lsup(val[0]-1.0)<=self.RES_TOL,"wrong value for 0 in the 0 vector") self.assertTrue(Lsup(val[1]-0.0)<=self.RES_TOL,"wrong value for 1 in the 0 vector") self.assertTrue(Lsup(val[2]-0.0)<=self.RES_TOL,"wrong value for 2 in the 0 vector")