/dports/biology/clustalw/clustalw-2.1/src/multipleAlign/ |
H A D | LowScoreSegProfile.cpp | 25 vector<vector<int> > weighting; in calcLowScoreSegProfile() local 33 weighting.resize(NUMRES + 2, vector<int>(prfLength + 2)); in calcLowScoreSegProfile() 39 weighting[d][r] = 0; in calcLowScoreSegProfile() 46 weighting[d][r] += (*seqWeight)[i]; in calcLowScoreSegProfile() 52 weighting[_gapPos1][r] = 0; in calcLowScoreSegProfile() 60 weighting[_gapPos1][r] += (*seqWeight)[i]; in calcLowScoreSegProfile() 65 weighting[_gapPos2][r] = 0; in calcLowScoreSegProfile() 73 weighting[_gapPos2][r] += (*seqWeight)[i]; in calcLowScoreSegProfile() 87 f += (weighting[d][pos] * matrix[d][res]); in calcLowScoreSegProfile() 98 f += (weighting[d][pos] * matrix[d][_gapPos1]); in calcLowScoreSegProfile() [all …]
|
H A D | ProfileWithSub.cpp | 45 vector<vector<int> > weighting; in calcProfileWithSub() local 55 weighting.resize(NUMRES + 2, vector<int>(prfLength + 2)); in calcProfileWithSub() 69 weighting[aa][col] = 0; in calcProfileWithSub() 74 weighting[aa][col] += (*seqWeight)[seq]; in calcProfileWithSub() 77 weighting[_gapPos1][col] = 0; in calcProfileWithSub() 83 weighting[_gapPos1][col] += (*seqWeight)[seq]; in calcProfileWithSub() 87 weighting[_gapPos2][col] = 0; in calcProfileWithSub() 93 weighting[_gapPos2][col] += (*seqWeight)[seq]; in calcProfileWithSub() 118 f += (weighting[aa][pos] * matrix[aa][res]); in calcProfileWithSub() 129 f += (weighting[aa][pos] * matrix[aa][_gapPos1]); in calcProfileWithSub() [all …]
|
/dports/games/freecell-solver/freecell-solver-6.2.0/ |
H A D | scans_impl.h | 53 weighting->befs_weights.weights; in fc_solve_initialize_befs_rater() 88 weighting->max_sequence_move_factor = in fc_solve_initialize_befs_rater() 97 weighting->cards_under_sequences_factor = in fc_solve_initialize_befs_rater() 101 weighting->seqs_over_renegade_cards_factor = in fc_solve_initialize_befs_rater() 107 weighting->num_cards_not_on_parents_factor = in fc_solve_initialize_befs_rater() 110 weighting->should_go_over_stacks = in fc_solve_initialize_befs_rater() 111 ((bool)weighting->max_sequence_move_factor || in fc_solve_initialize_befs_rater() 112 (bool)weighting->cards_under_sequences_factor || in fc_solve_initialize_befs_rater() 199 (max(0, negated_depth) * weighting->depth_factor); in befs_rate_state() 214 if (weighting->should_go_over_stacks) in befs_rate_state() [all …]
|
/dports/graphics/enblend/enblend-enfuse-4.2/doc/ |
H A D | enfuse-overview.tex | 54 \genidx{weighting!exposure}% 55 \gensee{exposure weighting}{weighting, exposure}% 60 \genidx{weighting!saturation}% 61 \gensee{saturation weighting}{weighting, saturation}% 66 \genidx{weighting!local contrast}% 67 \gensee{contrast weighting}{weighting, local contrast}% 68 \gensee{local contrast weighting}{weighting, local contrast}% 74 \genidx{weighting!local entropy}% 75 \gensee{entropy weighting}{weighting, local entropy}% 76 \gensee{local entropy weighting}{weighting, local entropy}% [all …]
|
H A D | enfuse-saturation-weighting.tex | 5 \section[Saturation Weighting]{\label{sec:saturation-weighting}% 6 \genidx{weighting!saturation}% 7 \gensee{saturation weighting}{weighting, saturation}% 12 Saturation weighting prefers pixels with a high saturation, where the 39 The saturation weighting algorithm only looks at a single pixel at a time. The neighborhood of 42 \genidx{weighting!entropy}% 43 Obviously, saturation weighting can only be defined for \acronym{RGB}-images, not for grayscale 44 ones. If you need something similar, check out \sectionName~\ref{sec:local-entropy-weighting}
|
H A D | enfuse-local-entropy-weighting.tex | 5 \section[Local Entropy Weighting]{\label{sec:local-entropy-weighting}% 6 \genidx[\rangebeginlocation]{local entropy weighting}% 7 \genidx{weighting!local entropy}% 8 \gensee{entropy}{weighting, local entropy}% 9 \gensee{local entropy}{weighting, local entropy}% 12 Entropy weighting prefers pixels inside a high entropy neighborhood. 26 \noindent holds for all $b > 1$. We use $a = 2$ for entropy weighting and set the entropy of 48 \genidx{weighting!local entropy!window size}% 50 quite similar to Local-Contrast Weighting (\fullref{sec:local-contrast-weighting}). The size of 57 Another difficulty arises from the use of entropy as a weighting function in dark parts of an [all …]
|
H A D | enfuse-weighting-functions.tex | 6 \genidx[\rangebeginlocation]{weighting functions}% 7 \genidx{exposure weighting!functions}% 11 four different types of weighting. The following sections describe the concept of weighting and 12 all weighting functions in detail. 15 \section[Weighting Pixels]{\label{sec:weighting-pixels}% 16 \genidx{weighting!general concept of}% 155 \input{enfuse-exposure-weighting} 156 \input{enfuse-saturation-weighting} 157 \input{enfuse-local-contrast-weighting} 158 \input{enfuse-local-entropy-weighting} [all …]
|
H A D | enfuse-fusion-options.tex | 25 See \sectionName~\ref{sec:local-contrast-weighting} and \ref{sec:expert-options}, 39 See \sectionName~\ref{sec:expert-options} and \ref{sec:local-entropy-weighting}, 51 to fine-tune exposure weighting. 72 See Section~\fullref{sec:exposure-weighting}. 84 this option to fine-tune exposure weighting (See Section~\fullref{sec:exposure-weighting}). 118 Saturation weighting is only defined for color images; see 119 \sectionName~\ref{sec:saturation-weighting}.
|
/dports/games/freedoko/FreeDoko_0.7.19/src/player/ai/ |
H A D | w_monte_carlo.cpp | 77 auto const weighting = this->weightings_calc(); in best_card() local 80 auto best_card = card_with_max_weighting(weighting); in best_card() 198 auto weighting = map<HandCard, Weighting>(); in weightings_calc() local 203 weighting[cards.front()] = 0; in weightings_calc() 204 return weighting; in weightings_calc() 270 auto const w = this->weighting(virt_game, c); in weightings_calc() 284 weighting[c] = rating->value(); in weightings_calc() 314 return weighting; in weightings_calc() 327 if (weighting.empty()) in card_with_max_weighting() 329 auto k = &(*weighting.begin()); in card_with_max_weighting() [all …]
|
H A D | w_virtual_games.cpp | 166 WVirtualGames::weighting(Card const& card_) const in weighting() function in WVirtualGames 169 int weighting = 0; in weighting() local 345 weighting in weighting() 353 weighting += TrickWeighting::backhand(this->vgi(), in weighting() 366 weighting in weighting() 371 weighting += 10000 * game_summary.points(); in weighting() 373 weighting -= 10000 * game_summary.points(); in weighting() 382 << weighting in weighting() 391 weighting = INT_MIN; in weighting() 438 << weighting << "\n"; in weighting() [all …]
|
H A D | weighting.h | 56 virtual int weighting(Card const& card) const = 0; 64 Weighting(Weighting const& weighting); 65 Weighting& operator=(Weighting const& weighting);
|
H A D | weighting.cpp | 67 WeightingThreadData(Weighting const& weighting, Card const& card) : in WeightingThreadData() argument 68 weighting(&weighting), in WeightingThreadData() 79 Weighting const* const weighting; member in WeightingThreadData 263 int const card_weighting = this->weighting(card); in best_card() 535 data->card_weighting = data->weighting->weighting(data->card); in Weighting_thread_routine()
|
/dports/science/qmcpack/qmcpack-3.11.0/docs/ |
H A D | appendices.rst | 67 For uniform weighting with :math:`w_m=1`, the number of twists is 79 steps required to reach this target for uniform weighting is 87 while for nonuniform weighting we have 123 irreducible weighting :math:`N_{twist}=M`. 143 weighting case. It is important to recall that 145 weighting and is the number of MC steps required to reach a target 153 the opposite type of weighting been used. 170 uniform weighting is 173 weighting. 188 weighting. For this example, the crossover point for irreducible [all …]
|
/dports/math/R-cran-Zelig/Zelig/R/ |
H A D | model-relogit.R | 251 weighting <- FALSE functionVar 253 weighting <- TRUE 256 weighting <- FALSE 282 if (weighting) { 297 else if (weighting) 298 res$weighting <- TRUE 303 res$weighting <- FALSE 320 if (!is.null(tau) & !weighting){ 326 res$weighting <- FALSE 330 if (is.null(res$weighting)) [all …]
|
/dports/x11-wm/tvtwm/tvtwm/ |
H A D | placement.c | 144 WindowWeighting *weighting; 191 weighting->weights[i][j], 192 weighting->weights[i+1][j], 193 weighting->weights[i][j+1], 344 weighting->weights[i][j], 345 weighting->weights[i+1][j], 346 weighting->weights[i][j+1], 349 weighting->weights[i][j], 350 weighting->weights[i+1][j], 351 weighting->weights[i][j+1], [all …]
|
/dports/textproc/py-whoosh/Whoosh-2.7.4/tests/ |
H A D | test_weightings.py | 40 weighting = wclass(*args, **kwargs) 42 weighting = wclass() 47 with ix.searcher(weighting=weighting) as s: 79 s = ix.searcher(weighting=LegacyWeighting())
|
/dports/graphics/mirtk/MIRTK-2.0.0-122-g38210fa/Applications/src/ |
H A D | smooth-surface.cc | 613 WeightFunction weighting = Default; in main() local 657 weighting = Combinatorial; in main() 660 weighting = InverseDistance; in main() 665 weighting = Gaussian; in main() 677 weighting = AnisotropicGaussian; in main() 715 weighting = WindowedSinc; in main() 725 if (weighting == Default) { in main() 727 weighting = AreaWeighted; in main() 729 weighting = Gaussian; in main() 757 if (weighting == AreaWeighted) { in main() [all …]
|
/dports/textproc/py-whoosh/Whoosh-2.7.4/src/whoosh/ |
H A D | searching.py | 86 self.weighting = weighting 139 if type(weighting) is type: 140 self.weighting = weighting() 142 self.weighting = weighting 166 weighting=self.weighting, parent=self) 253 weighting=self.weighting) 275 kwargs["weighting"] = self.weighting 284 return self.context(needs_current=False, weighting=None) 286 def postings(self, fieldname, text, weighting=None, qf=1): argument 293 weighting = weighting or self.weighting [all …]
|
/dports/graphics/wings/libigl-2.1.0/python/py_igl/ |
H A D | py_per_vertex_normals.cpp | 20 const igl::PerVertexNormalsWeightingType weighting, 24 return igl::per_vertex_normals(V,F,weighting,N); in __anon6d20f57b0102() 43 const igl::PerVertexNormalsWeightingType weighting, argument 48 return igl::per_vertex_normals(V,F,weighting,FN,N); in __anon6d20f57b0302()
|
/dports/textproc/py-pygments/Pygments-2.7.2/tests/examplefiles/ |
H A D | test2.odin | 15 weighting = <76%> 21 weighting = <80%> 27 weighting = <78%>
|
/dports/textproc/py-pygments-25/Pygments-2.5.2/tests/examplefiles/ |
H A D | test2.odin | 15 weighting = <76%> 21 weighting = <80%> 27 weighting = <78%>
|
/dports/astro/oskar/OSKAR-2.8.0/python/examples/ |
H A D | sim_image_via_memory.py | 44 imagers[0].set(weighting='Natural') 45 imagers[1].set(weighting='Uniform') 77 fits.writeto(output_root+'_image_'+imager.weighting+'.fits', 81 fits.writeto(output_root+'_grid_'+imager.weighting+'.fits',
|
/dports/science/py-dipy/dipy-1.4.1/dipy/reconst/ |
H A D | fwdti.py | 406 weighting=None, sigma=None, cholesky=False, argument 466 if weighting is None: 472 if weighting == 'sigma': 479 elif weighting == 'gmm': 496 weighting=None, sigma=None, cholesky=False, argument 542 weighting=None, sigma=None): argument 625 weighting, sigma, cholesky, 631 weighting, sigma, cholesky, 654 jac=False, weighting=None, sigma=None): argument 732 cholesky=cholesky, jac=jac, weighting=weighting,
|
/dports/science/lammps/lammps-stable_29Sep2021/doc/src/ |
H A D | special_bonds.rst | 45 Set weighting coefficients for pairwise energy and force contributions 47 either directly or via one or two intermediate bonds. These weighting 53 potential. The rationale for using these weighting factors is that 57 atoms should be excluded (or reduced by a weighting factor). 90 LJ interactions or not. The weighting factors are a scaling 95 The first of the 3 coefficients (LJ or Coulombic) is the weighting 162 weighting factor is set to 0.5 and you have a linear molecule with 4 167 rules for weighting the pairwise interaction between atoms 2 and 4. 169 interaction between atoms 2 and 4 will be unaffected (full weighting 181 rules for weighting the pairwise interaction between atoms 2 and 5. [all …]
|
/dports/textproc/py-whoosh/Whoosh-2.7.4/src/whoosh/query/ |
H A D | wrappers.py | 191 def __init__(self, child, weighting): argument 193 self.weighting = weighting 197 context.set(weighting=self.weighting)
|