/dports/math/openturns/openturns-1.18/lib/test/ |
H A D | t_NonStationaryCovarianceModelFactory_std.expout | 1 Covariance C(0, 0) : evaluation = 1.00821 model = 1 2 Covariance C(0, 0.1) : evaluation = 0.90204 model = 0.904837 3 Covariance C(0, 0.2) : evaluation = 0.816878 model = 0.818731 4 Covariance C(0, 0.3) : evaluation = 0.737542 model = 0.740818 5 Covariance C(0, 0.4) : evaluation = 0.672768 model = 0.67032 6 Covariance C(0, 0.5) : evaluation = 0.606947 model = 0.606531 7 Covariance C(0, 0.6) : evaluation = 0.5532 model = 0.548812 8 Covariance C(0, 0.7) : evaluation = 0.50249 model = 0.496585 10 Covariance C(0, 0.9) : evaluation = 0.407241 model = 0.40657 12 Covariance C(0.1, 0.1) : evaluation = 0.989988 model = 1 [all …]
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H A D | t_WelchFactory_std.expout | 2 Frequency = 0.078125, evaluation = 7.22073 model = 6.44664 3 Frequency = 0.234375, evaluation = 2.73056 model = 2.52476 4 Frequency = 0.390625, evaluation = 1.17632 model = 1.13896 5 Frequency = 0.546875, evaluation = 0.676661 model = 0.624663 6 Frequency = 0.703125, evaluation = 0.432207 model = 0.389911 7 Frequency = 0.859375, evaluation = 0.234318 model = 0.265289 8 Frequency = 1.01562, evaluation = 0.179721 model = 0.191746 9 Frequency = 1.17188, evaluation = 0.137444 model = 0.144887 10 Frequency = 1.32812, evaluation = 0.113888 model = 0.113256 11 Frequency = 1.48438, evaluation = 0.092162 model = 0.090924 [all …]
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H A D | t_StationaryCovarianceModelFactory_std.expout | 1 Covariance C(0.05) : evaluation = 0.952813 model = 0.951229 2 Covariance C(0.15) : evaluation = 0.851701 model = 0.860708 3 Covariance C(0.25) : evaluation = 0.774636 model = 0.778801 4 Covariance C(0.35) : evaluation = 0.69505 model = 0.704688 5 Covariance C(0.45) : evaluation = 0.629322 model = 0.637628 6 Covariance C(0.55) : evaluation = 0.563779 model = 0.57695 7 Covariance C(0.65) : evaluation = 0.509125 model = 0.522046 8 Covariance C(0.75) : evaluation = 0.455973 model = 0.472367 9 Covariance C(0.85) : evaluation = 0.411085 model = 0.427415 10 Covariance C(0.95) : evaluation = 0.366338 model = 0.386741 [all …]
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/dports/math/openturns/openturns-1.18/python/test/ |
H A D | t_NonStationaryCovarianceModelFactory_std.expout | 1 Covariance C( 0 , 0 ) : evaluation = 1.00821 model = 1 2 Covariance C( 0 , 0.1 ) : evaluation = 0.90204 model = 0.904837 3 Covariance C( 0 , 0.2 ) : evaluation = 0.816878 model = 0.818731 4 Covariance C( 0 , 0.3 ) : evaluation = 0.737542 model = 0.740818 5 Covariance C( 0 , 0.4 ) : evaluation = 0.672768 model = 0.67032 6 Covariance C( 0 , 0.5 ) : evaluation = 0.606947 model = 0.606531 7 Covariance C( 0 , 0.6 ) : evaluation = 0.5532 model = 0.548812 8 Covariance C( 0 , 0.7 ) : evaluation = 0.50249 model = 0.496585 10 Covariance C( 0 , 0.9 ) : evaluation = 0.407241 model = 0.40657 12 Covariance C( 0.1 , 0.1 ) : evaluation = 0.989988 model = 1 [all …]
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H A D | t_WelchFactory_std.expout | 2 Frequency = 0.078125 , evaluation = 7.22072557 model = 6.44663683 3 Frequency = 0.234375 , evaluation = 2.73055725 model = 2.52476300 4 Frequency = 0.390625 , evaluation = 1.17632172 model = 1.13896376 5 Frequency = 0.546875 , evaluation = 0.67666135 model = 0.62466328 6 Frequency = 0.703125 , evaluation = 0.43220716 model = 0.38991051 7 Frequency = 0.859375 , evaluation = 0.23431758 model = 0.26528881 8 Frequency = 1.015625 , evaluation = 0.17972130 model = 0.19174648 9 Frequency = 1.171875 , evaluation = 0.13744372 model = 0.14488723 10 Frequency = 1.328125 , evaluation = 0.11388777 model = 0.11325571 11 Frequency = 1.484375 , evaluation = 0.09216205 model = 0.09092404 [all …]
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H A D | t_StationaryCovarianceModelFactory_std.expout | 1 Covariance C( 0.05 ) : evaluation = 0.952813 model = 0.951229 2 Covariance C( 0.15 ) : evaluation = 0.851701 model = 0.860708 3 Covariance C( 0.25 ) : evaluation = 0.774636 model = 0.778801 4 Covariance C( 0.35 ) : evaluation = 0.69505 model = 0.704688 5 Covariance C( 0.45 ) : evaluation = 0.629322 model = 0.637628 6 Covariance C( 0.55 ) : evaluation = 0.563779 model = 0.57695 7 Covariance C( 0.65 ) : evaluation = 0.509125 model = 0.522046 8 Covariance C( 0.75 ) : evaluation = 0.455973 model = 0.472367 9 Covariance C( 0.85 ) : evaluation = 0.411085 model = 0.427415 10 Covariance C( 0.95 ) : evaluation = 0.366338 model = 0.386741 [all …]
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/examples/users/ |
H A D | rosen_sampling.out.sav | 59 Parameters for evaluation 1: 74 Parameters for evaluation 2: 89 Parameters for evaluation 3: 104 Parameters for evaluation 4: 119 Parameters for evaluation 5: 134 Parameters for evaluation 6: 149 Parameters for evaluation 7: 164 Parameters for evaluation 8: 179 Parameters for evaluation 9: 194 Parameters for evaluation 10: [all …]
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H A D | rosen_grad_opt.out.sav | 60 Parameters for evaluation 1: 83 Parameters for evaluation 2: 99 Parameters for evaluation 3: 120 Parameters for evaluation 4: 135 Parameters for evaluation 5: 150 Parameters for evaluation 6: 173 Parameters for evaluation 7: 189 Parameters for evaluation 8: 210 Parameters for evaluation 9: 225 Parameters for evaluation 10: [all …]
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H A D | rosen_multidim.out.sav | 58 Parameters for evaluation 1: 73 Parameters for evaluation 2: 88 Parameters for evaluation 3: 103 Parameters for evaluation 4: 118 Parameters for evaluation 5: 133 Parameters for evaluation 6: 148 Parameters for evaluation 7: 163 Parameters for evaluation 8: 178 Parameters for evaluation 9: 193 Parameters for evaluation 10: [all …]
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H A D | rosen_syscall.out.sav | 61 Parameters for evaluation 1: 84 Parameters for evaluation 2: 100 Parameters for evaluation 3: 121 Parameters for evaluation 4: 136 Parameters for evaluation 5: 151 Parameters for evaluation 6: 174 Parameters for evaluation 7: 190 Parameters for evaluation 8: 211 Parameters for evaluation 9: 226 Parameters for evaluation 10: [all …]
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/dports/math/py-mathics/Mathics3-2.2.0/mathics/builtin/ |
H A D | control.py | 19 from mathics.core.evaluation import ( 91 def apply(self, expr, evaluation): argument 137 return t.evaluate(evaluation) 241 def apply(self, items, evaluation): argument 343 evaluation.check_stopped() 556 evaluation.check_stopped() 624 evaluation.check_stopped() 648 def apply(self, evaluation): argument 665 def apply(self, evaluation): argument 730 def apply(self, evaluation): argument [all …]
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H A D | assignment.py | 346 evaluation.message( 363 evaluation.message( 401 defs = evaluation.definitions 731 rhs = rhs.evaluate(evaluation) 870 evaluation.check_stopped() 879 evaluation, 1058 evaluation.print_out(symbol) 1089 evaluation.check_stopped() 1276 def apply_all(self, evaluation): argument 1315 def apply_all(self, evaluation): argument [all …]
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H A D | scoping.py | 13 from mathics.core.evaluation import Evaluation 18 if msg_symbol and evaluation: 31 if evaluation: 62 result = func(evaluation) 116 def apply(self, vars, expr, evaluation): argument 121 result.evaluate(evaluation) 174 def apply(self, vars, expr, evaluation): argument 262 def apply(self, vars, expr, evaluation): argument 368 def apply(self, evaluation): argument 468 def apply(self, symbol, evaluation): argument [all …]
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H A D | lists.py | 1594 evaluation, 2474 sympy_expr = whole_expr.to_sympy(evaluation=evaluation) 2865 evaluation, 2955 evaluation, 4445 numeric_qs = qs.evaluate(evaluation).numerify(evaluation) 4459 numeric_x = x.evaluate(evaluation).numerify(evaluation) 4878 evaluation, 4889 evaluation, 5280 evaluation, 5291 evaluation, [all …]
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H A D | lists-next.py | 1595 evaluation, 2475 sympy_expr = whole_expr.to_sympy(evaluation=evaluation) 2866 evaluation, 2953 evaluation, 4443 numeric_qs = qs.evaluate(evaluation).numerify(evaluation) 4457 numeric_x = x.evaluate(evaluation).numerify(evaluation) 4876 evaluation, 4887 evaluation, 5278 evaluation, 5289 evaluation, [all …]
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H A D | options.py | 82 def apply(self, f, evaluation): argument 145 def apply_1(self, optname, evaluation): argument 147 if evaluation.options is None: 164 val = get_option(evaluation.options, name, evaluation) 170 def apply_2(self, f, optname, evaluation): argument 190 val = get_option(optvals.get_option_values(evaluation), name, evaluation) 197 evaluation.definitions.get_options(f.get_name()), name, evaluation 208 evaluation, 218 if val is None and evaluation.options: 219 val = get_option(evaluation.options, name, evaluation) [all …]
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H A D | structure.py | 90 def apply(self, list, evaluation): argument 148 def apply(self, l, f, evaluation): argument 230 def apply(self, l, k, f, evaluation): argument 294 def apply(self, p1, p2, evaluation): argument 317 def apply(self, e1, e2, evaluation): argument 347 def apply(self, x, y, evaluation): argument 372 def apply(self, expr, evaluation): argument 846 return e.message(evaluation) 1231 def apply(self, string, evaluation): argument 1293 def apply(self, expr, evaluation): argument [all …]
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H A D | inout.py | 243 if evaluation is not None: 775 options = self.get_option_values(leaves=leaves[1:], evaluation=evaluation) 1451 if len(evaluation.out): 1585 evaluation.message( 1627 def apply(self, expr, evaluation): argument 1673 def apply(self, expr, evaluation): argument 1959 evaluation.print_out(expr) 2066 xml = boxes.boxes_to_mathml(evaluation=evaluation) 2068 evaluation.message( 2177 tex = boxes.boxes_to_tex(evaluation=evaluation) [all …]
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/dports/math/py-mathics/Mathics3-2.2.0/mathics/builtin/files_io/ |
H A D | importexport.py | 921 evaluation.message( 944 def evaluate(self, evaluation): argument 1237 evaluation.message( 1362 .evaluate(evaluation=evaluation) 1439 evaluation 1448 evaluation 1455 evaluation 1870 evaluation 1993 evaluation, 2138 evaluation.message( [all …]
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H A D | filesystem.py | 77 def apply(self, name, evaluation): argument 90 evaluation.message( 113 def evaluate(self, evaluation): argument 220 evaluation.message( 331 def apply_0(self, evaluation): argument 479 def apply(self, evaluation): argument 571 def apply(self, evaluation): argument 643 evaluation.message( 727 e.message(evaluation) 1073 evaluation.message( [all …]
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/dports/math/py-mathics/Mathics3-2.2.0/mathics/builtin/numbers/ |
H A D | linalg.py | 81 def apply(self, m, evaluation): argument 106 def apply(self, m, evaluation): argument 144 def apply(self, a, b, evaluation): argument 201 def apply(self, m, evaluation): argument 250 def apply(self, m, evaluation): argument 289 def apply(self, m, evaluation): argument 329 def apply(self, m, evaluation): argument 602 def apply(self, m, evaluation): argument 641 def apply(self, m, evaluation): argument 674 def apply(self, m, evaluation): argument [all …]
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H A D | numbertheory.py | 48 def apply_1(self, x, evaluation): argument 52 def apply_2(self, x, n, evaluation): argument 93 def apply(self, args, evaluation): argument 134 def apply(self, n, evaluation): argument 226 def apply(self, n, evaluation): argument 300 def apply(self, n, evaluation): argument 366 def apply(self, ns, evaluation): argument 704 def apply(self, n, evaluation): argument 786 def apply(self, n, evaluation): argument 827 def apply(self, n, evaluation): argument [all …]
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/dports/science/dalton/dalton-66052b3af5ea7225e31178bf9a8b031913c72190/DALTON/test/srdft/ |
H A D | shield_spin.tst | 138 This is an experimental code for the evaluation of molecular 837 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s 838 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.5 s 839 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s 840 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s 841 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s 842 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s 843 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s 844 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.5 s 845 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s [all …]
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/dports/science/dalton/dalton-66052b3af5ea7225e31178bf9a8b031913c72190/DALTON/test/pcm_shield_spin/result/ |
H A D | shield_spin_C2H3Li_STO-3G.out | 60 This is an experimental code for the evaluation of molecular 759 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s 760 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.5 s 761 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s 762 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s 763 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s 764 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s 765 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s 766 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.5 s 767 Electrons: 17.999989(-1.06e-05): LR-DFT*1 evaluation time: 0.6 s [all …]
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/dports/science/code_saturne/code_saturne-7.1.0/src/cdo/ |
H A D | cs_quadrature.h | 763 double evaluation; in cs_quadrature_tria_1pt_scal() local 811 *results += weights[0] * evaluation[0] + weights[1] * evaluation[1] + in cs_quadrature_tria_3pts_scal() 850 *results += weights[0] * evaluation[0] + weights[1] * evaluation[1] + in cs_quadrature_tria_4pts_scal() 851 weights[2] * evaluation[2] + weights[3] * evaluation[3]; in cs_quadrature_tria_4pts_scal() 889 *results += weights[0] * evaluation[0] + weights[1] * evaluation[1] + in cs_quadrature_tria_7pts_scal() 890 weights[2] * evaluation[2] + weights[3] * evaluation[3] + in cs_quadrature_tria_7pts_scal() 891 weights[4] * evaluation[4] + weights[5] * evaluation[5] + in cs_quadrature_tria_7pts_scal() 1313 *results += weights[0] * evaluation[0] + weights[1] * evaluation[1] + in cs_quadrature_tet_4pts_scal() 1314 weights[2] * evaluation[2] + weights[3] * evaluation[3]; in cs_quadrature_tet_4pts_scal() 1354 *results += weights[0] * evaluation[0] + weights[1] * evaluation[1] + in cs_quadrature_tet_5pts_scal() [all …]
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