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/dports/math/openturns/openturns-1.18/lib/test/
H A Dt_NonStationaryCovarianceModelFactory_std.expout1 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
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H A Dt_WelchFactory_std.expout2 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
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H A Dt_StationaryCovarianceModelFactory_std.expout1 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
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/dports/math/openturns/openturns-1.18/python/test/
H A Dt_NonStationaryCovarianceModelFactory_std.expout1 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 …]
H A Dt_WelchFactory_std.expout2 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 …]
H A Dt_StationaryCovarianceModelFactory_std.expout1 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 …]
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/examples/users/
H A Drosen_sampling.out.sav59 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:
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H A Drosen_grad_opt.out.sav60 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:
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H A Drosen_multidim.out.sav58 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:
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H A Drosen_syscall.out.sav61 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:
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/dports/math/py-mathics/Mathics3-2.2.0/mathics/builtin/
H A Dcontrol.py19 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
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H A Dassignment.py346 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
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H A Dscoping.py13 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
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H A Dlists.py1594 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,
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H A Dlists-next.py1595 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,
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H A Doptions.py82 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)
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H A Dstructure.py90 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
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H A Dinout.py243 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)
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/dports/math/py-mathics/Mathics3-2.2.0/mathics/builtin/files_io/
H A Dimportexport.py921 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(
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H A Dfilesystem.py77 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(
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/dports/math/py-mathics/Mathics3-2.2.0/mathics/builtin/numbers/
H A Dlinalg.py81 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
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H A Dnumbertheory.py48 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
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/dports/science/dalton/dalton-66052b3af5ea7225e31178bf9a8b031913c72190/DALTON/test/srdft/
H A Dshield_spin.tst138 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 …]
/dports/science/dalton/dalton-66052b3af5ea7225e31178bf9a8b031913c72190/DALTON/test/pcm_shield_spin/result/
H A Dshield_spin_C2H3Li_STO-3G.out60 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 …]
/dports/science/code_saturne/code_saturne-7.1.0/src/cdo/
H A Dcs_quadrature.h763 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()
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