1056 lines
45 KiB
Python
1056 lines
45 KiB
Python
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import unittest
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import numpy as np
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from interp.grid.delaunay import dgrid
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from interp.tools import baker_exact_3D, exact_me, improved_answer
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points = np.array([[ 0.11428445, 0.28754022, 0.21450866],
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[ 0.70777361, 0.97113801, 0.70142999],
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[ 0.9678696 , 0.8752588 , 0.61011066],
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[ 0.28114508, 0.56494346, 0.10472855],
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[ 0.87320653, 0.60442285, 0.77830118],
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[ 0.54868101, 0.06763191, 0.36992336],
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[ 0.74785868, 0.01445301, 0.36157087],
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[ 0.37893801, 0.2798186 , 0.66882913],
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[ 0.40288033, 0.43632989, 0.68307495],
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[ 0.05443145, 0.69825395, 0.75788844],
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[ 0.72652183, 0.46143234, 0.92496808],
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[ 0.98215309, 0.74919871, 0.26359922],
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[ 0.64446603, 0.03215349, 0.71585739],
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[ 0.74583664, 0.17934764, 0.48514102],
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[ 0.02953106, 0.26222083, 0.84447849],
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[ 0.92558287, 0.86491041, 0.00388493],
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[ 0.48458751, 0.18263645, 0.10020616],
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[ 0.50691704, 0.29474261, 0.05317139],
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[ 0.13503481, 0.45742548, 0.89879376],
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[ 0.42092092, 0.50429495, 0.93224069],
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[ 0.38495379, 0.6395474 , 0.67431922],
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[ 0.10397544, 0.05895451, 0.9875192 ],
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[ 0.06942965, 0.86935731, 0.29390551],
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[ 0.08325816, 0.37391508, 0.94985739],
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[ 0.70791782, 0.62839051, 0.80202258],
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[ 0.49957473, 0.84219751, 0.88040138],
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[ 0.91766782, 0.48387821, 0.08503156],
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[ 0.36803798, 0.3877998 , 0.24104388],
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[ 0.1526318 , 0.01782609, 0.04233187],
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[ 0.24389489, 0.35547378, 0.86487884],
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[ 0.79969989, 0.86603222, 0.12417413],
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[ 0.07748739, 0.40214123, 0.26731593],
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[ 0.22738297, 0.71726456, 0.26570381],
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[ 0.05918811, 0.07212692, 0.55623921],
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[ 0.36451404, 0.58232176, 0.71326058],
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[ 0.1194748 , 0.30536944, 0.06718068],
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[ 0.15832267, 0.8887553 , 0.72702744],
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[ 0.64205779, 0.63270873, 0.84104407],
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[ 0.6598406 , 0.64223508, 0.4446435 ],
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[ 0.27005486, 0.92531167, 0.41231729],
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[ 0.32309501, 0.36187601, 0.29635482],
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[ 0.82053702, 0.18239855, 0.31045463],
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[ 0.89756268, 0.40578409, 0.24500909],
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[ 0.91924702, 0.84409983, 0.52950817],
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[ 0.45169706, 0.8790168 , 0.65692569],
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[ 0.96988179, 0.45284828, 0.98161877],
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[ 0.67214891, 0.43246417, 0.36161494],
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[ 0.91771824, 0.13570763, 0.30358442],
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[ 0.00856081, 0.46164223, 0.89603726],
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[ 0.95545709, 0.17282928, 0.83199973],
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[ 0.56650153, 0.89603536, 0.45668853],
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[ 0.9542778 , 0.12299014, 0.41592707],
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[ 0.06352572, 0.94850064, 0.33634642],
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[ 0.93951017, 0.43484399, 0.37270086],
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[ 0.67236423, 0.16673231, 0.82524789],
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[ 0.84371993, 0.41819289, 0.28587838],
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[ 0.61771884, 0.84808589, 0.22994513],
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[ 0.17655356, 0.76040647, 0.66896936],
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[ 0.39594309, 0.30225809, 0.56655642],
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[ 0.26509525, 0.48602892, 0.4414201 ],
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[ 0.01230335, 0.47860405, 0.43923575],
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[ 0.92014909, 0.99002187, 0.3740484 ],
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[ 0.88845505, 0.68630333, 0.37397556],
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[ 0.11044038, 0.28907405, 0.51466146],
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[ 0.11092469, 0.20020453, 0.75125346],
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[ 0.27536249, 0.60320668, 0.6360586 ],
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[ 0.94241002, 0.00823361, 0.05984616],
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[ 0.24263625, 0.93050725, 0.54862345],
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[ 0.12049839, 0.16584759, 0.94799531],
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[ 0.43141746, 0.77530968, 0.89400203],
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[ 0.43453017, 0.72250458, 0.30855848],
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[ 0.58327876, 0.30410605, 0.21529569],
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[ 0.6906952 , 0.88501704, 0.33122977],
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[ 0.59582838, 0.23855177, 0.25562364],
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[ 0.84408793, 0.7565708 , 0.18566003],
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[ 0.71847225, 0.78348879, 0.01394492],
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[ 0.2157923 , 0.0878241 , 0.53304275],
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[ 0.65077817, 0.73134788, 0.47375731],
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[ 0.15480248, 0.04877231, 0.84551572],
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[ 0.18828918, 0.34674004, 0.11989061],
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[ 0.78564365, 0.30275406, 0.09642356],
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[ 0.82960515, 0.73738278, 0.24500901],
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[ 0.63381853, 0.78702512, 0.44869516],
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[ 0.60875909, 0.38448521, 0.11101309],
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[ 0.25896923, 0.86776042, 0.99926272],
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[ 0.44865064, 0.47424466, 0.51402304],
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[ 0.44738627, 0.413574 , 0.58787803],
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[ 0.42558597, 0.18098633, 0.44647855],
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[ 0.6197636 , 0.40172899, 0.82633434],
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[ 0.19667605, 0.9592378 , 0.31371263],
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[ 0.44543992, 0.36630682, 0.96721493],
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[ 0.00113251, 0.74157699, 0.83322406],
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[ 0.02975107, 0.82937627, 0.80524179],
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[ 0.39907603, 0.53267979, 0.53531684],
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[ 0.8342222 , 0.9169928 , 0.81969662],
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[ 0.13888135, 0.67287953, 0.45754592],
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[ 0.4873301 , 0.02399868, 0.79007014],
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[ 0.48908379, 0.01660648, 0.88531733],
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[ 0.06064489, 0.15676077, 0.57462736],
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[ 0.46347854, 0.50204698, 0.92260013],
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[ 0.30769454, 0.91413535, 0.71872948],
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[ 0.54766355, 0.99080514, 0.23629655],
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[ 0.29504561, 0.69239956, 0.11541326],
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[ 0.06638065, 0.44583771, 0.40993712],
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[ 0.78546547, 0.39669903, 0.70850067],
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[ 0.57490847, 0.01931911, 0.95229857],
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[ 0.36478595, 0.51095616, 0.4450777 ],
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[ 0.27962055, 0.5670248 , 0.73430206],
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[ 0.08512962, 0.92858697, 0.16280465],
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[ 0.35404686, 0.26061171, 0.90922437],
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[ 0.36088532, 0.67658412, 0.3225552 ],
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[ 0.21179329, 0.78877855, 0.52533685],
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[ 0.72919654, 0.30032783, 0.35231397],
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[ 0.98164664, 0.14363536, 0.70022392],
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[ 0.52173619, 0.80860274, 0.50831038],
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[ 0.38294836, 0.0077242 , 0.73545865],
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[ 0.88265733, 0.43355191, 0.20679372],
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[ 0.90846836, 0.51886944, 0.38919361],
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[ 0.92039147, 0.66254952, 0.65083492],
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[ 0.70248187, 0.10121166, 0.89420336],
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[ 0.89448921, 0.88377854, 0.46296508],
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[ 0.35057331, 0.12859417, 0.02405395],
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[ 0.99091684, 0.54648747, 0.03855661],
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[ 0.26477678, 0.84030298, 0.5826511 ],
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[ 0.14283269, 0.30983103, 0.76758542],
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[ 0.95578979, 0.17808405, 0.33390006],
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[ 0.09878404, 0.22161407, 0.65968794],
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[ 0.04496103, 0.66141433, 0.16798657],
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[ 0.15300491, 0.48347774, 0.6682864 ],
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[ 0.55398838, 0.2255844 , 0.93903814],
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[ 0.93418825, 0.5798594 , 0.34924861],
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[ 0.01206828, 0.44051883, 0.63147375],
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[ 0.08048752, 0.70924834, 0.36574764],
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[ 0.03811209, 0.44101423, 0.49884509],
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[ 0.25834782, 0.285216 , 0.53779596],
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[ 0.08286716, 0.54884676, 0.68121547],
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[ 0.33114584, 0.88198676, 0.05239509],
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[ 0.52021315, 0.39683866, 0.01958944],
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[ 0.5346457 , 0.3208056 , 0.97108723],
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[ 0.83061204, 0.93356032, 0.96897258],
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[ 0.05889601, 0.70904536, 0.44104923],
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[ 0.07462807, 0.84525455, 0.34993083],
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[ 0.48488828, 0.46994987, 0.96958491],
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[ 0.32887091, 0.24984721, 0.95274392],
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[ 0.63767616, 0.92965522, 0.10237799],
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[ 0.49871957, 0.26920321, 0.70434029],
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[ 0.39157118, 0.94955504, 0.82837017],
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[ 0.06765164, 0.41670636, 0.72200918],
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[ 0.70059481, 0.49756779, 0.46352713],
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[ 0.08052346, 0.61639639, 0.4593064 ],
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[ 0.10818914, 0.57868752, 0.71973356],
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[ 0.40348071, 0.19272991, 0.16592194],
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[ 0.28363091, 0.57535216, 0.44429315],
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[ 0.75365971, 0.71266981, 0.03868309],
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[ 0.51947089, 0.94139858, 0.85375824],
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[ 0.6766548 , 0.82881477, 0.8703148 ],
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[ 0.68752048, 0.43760109, 0.91788514],
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[ 0.88613803, 0.25815193, 0.43004132],
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[ 0.0711505 , 0.95922552, 0.98028043],
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[ 0.92867615, 0.90462079, 0.39398929],
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[ 0.08362741, 0.60099744, 0.37111534],
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[ 0.43225975, 0.88763986, 0.37462851],
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[ 0.79141353, 0.04286447, 0.66726792],
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[ 0.73481258, 0.59783624, 0.17572802],
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[ 0.57333482, 0.96357899, 0.96003897],
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[ 0.83047634, 0.47608051, 0.50263645],
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[ 0.85347717, 0.58236307, 0.7207615 ],
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[ 0.89777838, 0.49916738, 0.27265369],
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[ 0.68280261, 0.09290443, 0.30109173],
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[ 0.9878491 , 0.93869086, 0.6727351 ],
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[ 0.35485635, 0.60949548, 0.21609126],
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[ 0.34635366, 0.86408416, 0.39524511],
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[ 0.97950109, 0.71812176, 0.43523289],
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[ 0.64266844, 0.50752522, 0.73489014],
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[ 0.39180608, 0.88879724, 0.47496461],
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[ 0.61528696, 0.36905619, 0.20571338],
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[ 0.1127475 , 0.9128665 , 0.44155376],
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[ 0.95724559, 0.24756928, 0.2607367 ],
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[ 0.41791504, 0.84469929, 0.39939267],
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[ 0.74388422, 0.66235586, 0.81131033],
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[ 0.37932042, 0.69045085, 0.58836298],
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[ 0.73719145, 0.39579154, 0.23579967],
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[ 0.37476006, 0.79731359, 0.56031142],
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[ 0.31958019, 0.007173 , 0.87112861],
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[ 0.51975653, 0.10882906, 0.07873865],
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[ 0.35340201, 0.64909491, 0.06403942],
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[ 0.93534716, 0.94533048, 0.11982437],
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[ 0.86698716, 0.85551581, 0.2783717 ],
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[ 0.39499489, 0.82911438, 0.05733287],
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[ 0.97447428, 0.55624938, 0.83910733],
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[ 0.13165963, 0.72821714, 0.24942724],
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[ 0.69517782, 0.35198517, 0.95367201],
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[ 0.15686505, 0.99539642, 0.59536263],
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[ 0.81638613, 0.04210342, 0.67956965],
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[ 0.51276658, 0.49898216, 0.31611387],
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[ 0.75131854, 0.69203237, 0.56034405],
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[ 0.39104193, 0.83395827, 0.94807817],
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[ 0.83844197, 0.94169047, 0.26600553],
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[ 0.89733342, 0.53859321, 0.61937296],
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[ 0.96853806, 0.73128574, 0.40330592],
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[ 0.5070264 , 0.43343222, 0.3635949 ],
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[ 0.39727622, 0.82369162, 0.82189471],
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[ 0.83683305, 0.085911 , 0.2639984 ],
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[ 0.97090014, 0.57191923, 0.78291546],
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[ 0.67482888, 0.88438681, 0.28726635],
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||
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[ 0.05018135, 0.42041414, 0.19598002],
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||
|
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[ 0.51830459, 0.68016794, 0.21600904],
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||
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[ 0.13329734, 0.92823392, 0.53344032],
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||
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[ 0.44175237, 0.4605472 , 0.68868582],
|
||
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[ 0.16221553, 0.19372445, 0.06682256],
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[ 0.74308626, 0.48589129, 0.14384904],
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||
|
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[ 0.21029357, 0.94665144, 0.69065138],
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||
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[ 0.5695598 , 0.74219977, 0.98037558],
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[ 0.98196821, 0.27363747, 0.19857137],
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[ 0.13639529, 0.34283267, 0.49383934],
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[ 0.40597902, 0.06641372, 0.83344091],
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[ 0.71656007, 0.04308679, 0.22327167],
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[ 0.51679895, 0.16594224, 0.29388427],
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[ 0.11714028, 0.31346426, 0.8475076 ],
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[ 0.15368224, 0.33216081, 0.28493318],
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[ 0.45084027, 0.50034009, 0.56994194],
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[ 0.42733257, 0.39342123, 0.23455195],
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[ 0.71993897, 0.42549182, 0.80396288],
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[ 0.01024557, 0.21484421, 0.97359862],
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[ 0.49792668, 0.35542579, 0.14729147],
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[ 0.37033584, 0.90457688, 0.48734477],
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[ 0.28959816, 0.57044438, 0.76050406],
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[ 0.63550706, 0.82154029, 0.22960342],
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[ 0.96325459, 0.83165502, 0.758824 ],
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[ 0.07454867, 0.66210279, 0.60950114],
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[ 0.49525635, 0.65310899, 0.67517005],
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||
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[ 0.59761197, 0.45232364, 0.68222993],
|
||
|
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[ 0.07795876, 0.97449963, 0.34139297],
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[ 0.5543566 , 0.08232214, 0.92329903],
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|
|
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|
|
[ 0.93664048, 0.72778683, 0.15222559],
|
||
|
|
[ 0.22239514, 0.46284626, 0.80989851],
|
||
|
|
[ 0.46653761, 0.22013242, 0.5463167 ],
|
||
|
|
[ 0.51726666, 0.42335971, 0.8756811 ],
|
||
|
|
[ 0.75179159, 0.16813172, 0.97233992],
|
||
|
|
[ 0.23497269, 0.94133246, 0.57237437],
|
||
|
|
[ 0.93631186, 0.52787674, 0.66427539],
|
||
|
|
[ 0.57702991, 0.98260077, 0.02540918],
|
||
|
|
[ 0.95736327, 0.51920399, 0.66876236],
|
||
|
|
[ 0.83621957, 0.7010466 , 0.13180337],
|
||
|
|
[ 0.65654193, 0.02019758, 0.45304077],
|
||
|
|
[ 0.38621096, 0.10872158, 0.19750442],
|
||
|
|
[ 0.94383549, 0.58303852, 0.12585456],
|
||
|
|
[ 0.48858776, 0.48006796, 0.57410043],
|
||
|
|
[ 0.77481969, 0.77828229, 0.96806169],
|
||
|
|
[ 0.29087631, 0.94382364, 0.04941028],
|
||
|
|
[ 0.21331883, 0.67864787, 0.99462551],
|
||
|
|
[ 0.13216264, 0.34946454, 0.82557447],
|
||
|
|
[ 0.78817467, 0.55188611, 0.82789715],
|
||
|
|
[ 0.28726992, 0.90427654, 0.46594568],
|
||
|
|
[ 0.36720028, 0.17742756, 0.04713435],
|
||
|
|
[ 0.97144246, 0.35275568, 0.37272179],
|
||
|
|
[ 0.69123934, 0.47119538, 0.15020057],
|
||
|
|
[ 0.635319 , 0.63940015, 0.81954056],
|
||
|
|
[ 0.83383869, 0.75306152, 0.18991275],
|
||
|
|
[ 0.02850231, 0.48516986, 0.19046434],
|
||
|
|
[ 0.50327008, 0.28464314, 0.54278312],
|
||
|
|
[ 0.03055014, 0.77251712, 0.87531276],
|
||
|
|
[ 0.50390999, 0.33447693, 0.44985505],
|
||
|
|
[ 0.43460422, 0.61835212, 0.36589043],
|
||
|
|
[ 0.33550543, 0.09574431, 0.90957736],
|
||
|
|
[ 0.96983762, 0.11537462, 0.94142618],
|
||
|
|
[ 0.51258962, 0.82681989, 0.26935337],
|
||
|
|
[ 0.79211841, 0.23207802, 0.60815911],
|
||
|
|
[ 0.90424295, 0.73187941, 0.99794175],
|
||
|
|
[ 0.84381799, 0.50563945, 0.2338819 ],
|
||
|
|
[ 0.64879475, 0.11428564, 0.65671366],
|
||
|
|
[ 0.23384312, 0.66965284, 0.19456637],
|
||
|
|
[ 0.53093166, 0.95852386, 0.98772503],
|
||
|
|
[ 0.98463144, 0.03103187, 0.86130255],
|
||
|
|
[ 0.06819395, 0.49299943, 0.06459917],
|
||
|
|
[ 0.91893265, 0.49085647, 0.52698672],
|
||
|
|
[ 0.98981069, 0.90960177, 0.54153429],
|
||
|
|
[ 0.28101046, 0.06888627, 0.84965766],
|
||
|
|
[ 0.62303017, 0.21383628, 0.98395503],
|
||
|
|
[ 0.51816527, 0.10226694, 0.2760039 ],
|
||
|
|
[ 0.27242839, 0.98456279, 0.43348216],
|
||
|
|
[ 0.8505522 , 0.06138676, 0.92275804],
|
||
|
|
[ 0.2688598 , 0.68773136, 0.63179621]])
|
||
|
|
|
||
|
|
|
||
|
|
class Test(unittest.TestCase):
|
||
|
|
def setUp(self):
|
||
|
|
self.q = exact_me(points, baker_exact_3D)
|
||
|
|
self.g = dgrid(points, self.q)
|
||
|
|
|
||
|
|
def run_point(self, X, extra_points=32):
|
||
|
|
exact = baker_exact_3D(X)
|
||
|
|
answers = []
|
||
|
|
for o in (2,3,4,5):
|
||
|
|
r = self.g.interpolate(X, order=o, extra_points=extra_points)
|
||
|
|
answers.append(improved_answer(r, exact))
|
||
|
|
return answers
|
||
|
|
|
||
|
|
def test_point_1(self):
|
||
|
|
X = [0.2,0.2,0.2]
|
||
|
|
answers = self.run_point(X)
|
||
|
|
expected_answers = [True, True, True, False]
|
||
|
|
self.assertEqual(answers, expected_answers)
|
||
|
|
|
||
|
|
def test_point_2(self):
|
||
|
|
X = [0.1,0.8,0.9]
|
||
|
|
answers = self.run_point(X)
|
||
|
|
expected_answers = [True, True, True, False]
|
||
|
|
self.assertEqual(answers, expected_answers)
|
||
|
|
|
||
|
|
def test_point_3(self):
|
||
|
|
X = [0.5,0.5,0.99999]
|
||
|
|
answers = self.run_point(X)
|
||
|
|
expected_answers = [True, True, True, True]
|
||
|
|
self.assertEqual(answers, expected_answers)
|
||
|
|
|
||
|
|
def test_point_4(self):
|
||
|
|
X = [0.5,0.5,0.99999]
|
||
|
|
answers = self.run_point(X, extra_points=64)
|
||
|
|
expected_answers = [True, True, True, True]
|
||
|
|
self.assertEqual(answers, expected_answers)
|
||
|
|
|
||
|
|
def test_point_5(self):
|
||
|
|
X = [0.5,0.5,0.5]
|
||
|
|
answers = self.run_point(X, extra_points=128)
|
||
|
|
expected_answers = [True, True, True, True]
|
||
|
|
self.assertEqual(answers, expected_answers)
|
||
|
|
|
||
|
|
if __name__ == '__main__':
|
||
|
|
suite = unittest.TestLoader().loadTestsFromTestCase(Test)
|
||
|
|
unittest.TextTestRunner(verbosity=3).run(suite)
|