import unittest import numpy as np from interp.grid.delaunay import dgrid from interp.tools import baker_exact_3D, exact_me, improved_answer points = np.array([[0.11428445, 0.28754022, 0.21450866], [0.70777361, 0.97113801, 0.70142999], [0.9678696, 0.8752588, 0.61011066], [0.28114508, 0.56494346, 0.10472855], [0.87320653, 0.60442285, 0.77830118], [0.54868101, 0.06763191, 0.36992336], [0.74785868, 0.01445301, 0.36157087], [0.37893801, 0.2798186, 0.66882913], [0.40288033, 0.43632989, 0.68307495], [0.05443145, 0.69825395, 0.75788844], [0.72652183, 0.46143234, 0.92496808], [0.98215309, 0.74919871, 0.26359922], [0.64446603, 0.03215349, 0.71585739], [0.74583664, 0.17934764, 0.48514102], [0.02953106, 0.26222083, 0.84447849], [0.92558287, 0.86491041, 0.00388493], [0.48458751, 0.18263645, 0.10020616], [0.50691704, 0.29474261, 0.05317139], [0.13503481, 0.45742548, 0.89879376], [0.42092092, 0.50429495, 0.93224069], [0.38495379, 0.6395474, 0.67431922], [0.10397544, 0.05895451, 0.9875192], [0.06942965, 0.86935731, 0.29390551], [0.08325816, 0.37391508, 0.94985739], [0.70791782, 0.62839051, 0.80202258], [0.49957473, 0.84219751, 0.88040138], [0.91766782, 0.48387821, 0.08503156], [0.36803798, 0.3877998, 0.24104388], [0.1526318, 0.01782609, 0.04233187], [0.24389489, 0.35547378, 0.86487884], [0.79969989, 0.86603222, 0.12417413], [0.07748739, 0.40214123, 0.26731593], [0.22738297, 0.71726456, 0.26570381], [0.05918811, 0.07212692, 0.55623921], [0.36451404, 0.58232176, 0.71326058], [0.1194748, 0.30536944, 0.06718068], [0.15832267, 0.8887553, 0.72702744], [0.64205779, 0.63270873, 0.84104407], [0.6598406, 0.64223508, 0.4446435], [0.27005486, 0.92531167, 0.41231729], [0.32309501, 0.36187601, 0.29635482], [0.82053702, 0.18239855, 0.31045463], [0.89756268, 0.40578409, 0.24500909], [0.91924702, 0.84409983, 0.52950817], [0.45169706, 0.8790168, 0.65692569], [0.96988179, 0.45284828, 0.98161877], [0.67214891, 0.43246417, 0.36161494], [0.91771824, 0.13570763, 0.30358442], [0.00856081, 0.46164223, 0.89603726], [0.95545709, 0.17282928, 0.83199973], [0.56650153, 0.89603536, 0.45668853], [0.9542778, 0.12299014, 0.41592707], [0.06352572, 0.94850064, 0.33634642], [0.93951017, 0.43484399, 0.37270086], [0.67236423, 0.16673231, 0.82524789], [0.84371993, 0.41819289, 0.28587838], [0.61771884, 0.84808589, 0.22994513], [0.17655356, 0.76040647, 0.66896936], [0.39594309, 0.30225809, 0.56655642], [0.26509525, 0.48602892, 0.4414201], [0.01230335, 0.47860405, 0.43923575], [0.92014909, 0.99002187, 0.3740484], [0.88845505, 0.68630333, 0.37397556], [0.11044038, 0.28907405, 0.51466146], [0.11092469, 0.20020453, 0.75125346], [0.27536249, 0.60320668, 0.6360586], [0.94241002, 0.00823361, 0.05984616], [0.24263625, 0.93050725, 0.54862345], [0.12049839, 0.16584759, 0.94799531], [0.43141746, 0.77530968, 0.89400203], [0.43453017, 0.72250458, 0.30855848], [0.58327876, 0.30410605, 0.21529569], [0.6906952, 0.88501704, 0.33122977], [0.59582838, 0.23855177, 0.25562364], [0.84408793, 0.7565708, 0.18566003], [0.71847225, 0.78348879, 0.01394492], [0.2157923, 0.0878241, 0.53304275], [0.65077817, 0.73134788, 0.47375731], [0.15480248, 0.04877231, 0.84551572], [0.18828918, 0.34674004, 0.11989061], [0.78564365, 0.30275406, 0.09642356], [0.82960515, 0.73738278, 0.24500901], [0.63381853, 0.78702512, 0.44869516], [0.60875909, 0.38448521, 0.11101309], [0.25896923, 0.86776042, 0.99926272], [0.44865064, 0.47424466, 0.51402304], [0.44738627, 0.413574, 0.58787803], [0.42558597, 0.18098633, 0.44647855], [0.6197636, 0.40172899, 0.82633434], [0.19667605, 0.9592378, 0.31371263], [0.44543992, 0.36630682, 0.96721493], [0.00113251, 0.74157699, 0.83322406], [0.02975107, 0.82937627, 0.80524179], [0.39907603, 0.53267979, 0.53531684], [0.8342222, 0.9169928, 0.81969662], [0.13888135, 0.67287953, 0.45754592], [0.4873301, 0.02399868, 0.79007014], [0.48908379, 0.01660648, 0.88531733], [0.06064489, 0.15676077, 0.57462736], [0.46347854, 0.50204698, 0.92260013], [0.30769454, 0.91413535, 0.71872948], [0.54766355, 0.99080514, 0.23629655], [0.29504561, 0.69239956, 0.11541326], [0.06638065, 0.44583771, 0.40993712], [0.78546547, 0.39669903, 0.70850067], [0.57490847, 0.01931911, 0.95229857], [0.36478595, 0.51095616, 0.4450777], [0.27962055, 0.5670248, 0.73430206], [0.08512962, 0.92858697, 0.16280465], [0.35404686, 0.26061171, 0.90922437], [0.36088532, 0.67658412, 0.3225552], [0.21179329, 0.78877855, 0.52533685], [0.72919654, 0.30032783, 0.35231397], [0.98164664, 0.14363536, 0.70022392], [0.52173619, 0.80860274, 0.50831038], [0.38294836, 0.0077242, 0.73545865], [0.88265733, 0.43355191, 0.20679372], [0.90846836, 0.51886944, 0.38919361], [0.92039147, 0.66254952, 0.65083492], [0.70248187, 0.10121166, 0.89420336], [0.89448921, 0.88377854, 0.46296508], [0.35057331, 0.12859417, 0.02405395], [0.99091684, 0.54648747, 0.03855661], [0.26477678, 0.84030298, 0.5826511], [0.14283269, 0.30983103, 0.76758542], [0.95578979, 0.17808405, 0.33390006], [0.09878404, 0.22161407, 0.65968794], [0.04496103, 0.66141433, 0.16798657], [0.15300491, 0.48347774, 0.6682864], [0.55398838, 0.2255844, 0.93903814], [0.93418825, 0.5798594, 0.34924861], [0.01206828, 0.44051883, 0.63147375], [0.08048752, 0.70924834, 0.36574764], [0.03811209, 0.44101423, 0.49884509], [0.25834782, 0.285216, 0.53779596], [0.08286716, 0.54884676, 0.68121547], [0.33114584, 0.88198676, 0.05239509], [0.52021315, 0.39683866, 0.01958944], [0.5346457, 0.3208056, 0.97108723], [0.83061204, 0.93356032, 0.96897258], [0.05889601, 0.70904536, 0.44104923], [0.07462807, 0.84525455, 0.34993083], [0.48488828, 0.46994987, 0.96958491], [0.32887091, 0.24984721, 0.95274392], [0.63767616, 0.92965522, 0.10237799], [0.49871957, 0.26920321, 0.70434029], [0.39157118, 0.94955504, 0.82837017], [0.06765164, 0.41670636, 0.72200918], [0.70059481, 0.49756779, 0.46352713], [0.08052346, 0.61639639, 0.4593064], [0.10818914, 0.57868752, 0.71973356], [0.40348071, 0.19272991, 0.16592194], [0.28363091, 0.57535216, 0.44429315], [0.75365971, 0.71266981, 0.03868309], [0.51947089, 0.94139858, 0.85375824], [0.6766548, 0.82881477, 0.8703148], [0.68752048, 0.43760109, 0.91788514], [0.88613803, 0.25815193, 0.43004132], [0.0711505, 0.95922552, 0.98028043], [0.92867615, 0.90462079, 0.39398929], [0.08362741, 0.60099744, 0.37111534], [0.43225975, 0.88763986, 0.37462851], [0.79141353, 0.04286447, 0.66726792], [0.73481258, 0.59783624, 0.17572802], [0.57333482, 0.96357899, 0.96003897], [0.83047634, 0.47608051, 0.50263645], [0.85347717, 0.58236307, 0.7207615], [0.89777838, 0.49916738, 0.27265369], [0.68280261, 0.09290443, 0.30109173], [0.9878491, 0.93869086, 0.6727351], [0.35485635, 0.60949548, 0.21609126], [0.34635366, 0.86408416, 0.39524511], [0.97950109, 0.71812176, 0.43523289], [0.64266844, 0.50752522, 0.73489014], [0.39180608, 0.88879724, 0.47496461], [0.61528696, 0.36905619, 0.20571338], [0.1127475, 0.9128665, 0.44155376], [0.95724559, 0.24756928, 0.2607367], [0.41791504, 0.84469929, 0.39939267], [0.74388422, 0.66235586, 0.81131033], [0.37932042, 0.69045085, 0.58836298], [0.73719145, 0.39579154, 0.23579967], [0.37476006, 0.79731359, 0.56031142], [0.31958019, 0.007173, 0.87112861], [0.51975653, 0.10882906, 0.07873865], [0.35340201, 0.64909491, 0.06403942], [0.93534716, 0.94533048, 0.11982437], [0.86698716, 0.85551581, 0.2783717], [0.39499489, 0.82911438, 0.05733287], [0.97447428, 0.55624938, 0.83910733], [0.13165963, 0.72821714, 0.24942724], [0.69517782, 0.35198517, 0.95367201], [0.15686505, 0.99539642, 0.59536263], [0.81638613, 0.04210342, 0.67956965], [0.51276658, 0.49898216, 0.31611387], [0.75131854, 0.69203237, 0.56034405], [0.39104193, 0.83395827, 0.94807817], [0.83844197, 0.94169047, 0.26600553], [0.89733342, 0.53859321, 0.61937296], [0.96853806, 0.73128574, 0.40330592], [0.5070264, 0.43343222, 0.3635949], [0.39727622, 0.82369162, 0.82189471], [0.83683305, 0.085911, 0.2639984], [0.97090014, 0.57191923, 0.78291546], [0.67482888, 0.88438681, 0.28726635], [0.05018135, 0.42041414, 0.19598002], [0.51830459, 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[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)