/dports/games/critterding/critterding-beta12/src/scenes/gui/ |
H A D | textverbosemessage.cpp | 43 deaths.push_back(Msg); in addDeath() 62 if ( !deaths.empty() ) in deleteExpiredMsg() 65 deaths.size() > maxMessages in deleteExpiredMsg() 66 || ( msgLifetime > 0 && Timer::Instance()->sdl_lasttime - deaths[0]->appeartime > msgLifetime ) in deleteExpiredMsg() 69 delete deaths[0]; in deleteExpiredMsg() 70 deaths.erase(deaths.begin()+0); in deleteExpiredMsg() 105 if ( !deaths.empty() ) in draw() 112 for ( unsigned int i = 0; i < deaths.size(); i++ ) in draw() 113 …Textprinter::Instance()->print(position.x + col2 + 10, (position.y + 13) + 1 + (i*13), deaths[i]->… in draw()
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/dports/games/assaultcube/AssaultCube_v1.2.0.2/source/src/ |
H A D | scoreboard.cpp | 89 int team, frags, deaths, flagscore, points; member 98 deaths += d->deaths; in addplayer() 106 deaths += d.deaths; in addscore() 136 if(x->deaths < y->deaths) return -1; in teamscorecmp() 148 if((*x)->deaths > (*y)->deaths) return 1; in scorecmp() 149 if((*x)->deaths < (*y)->deaths) return -1; in scorecmp() 163 if(x->deaths > y->deaths) return 1; in discscorecmp() 164 if(x->deaths < y->deaths) return -1; in discscorecmp() 193 line.addcol(sc_deaths, "%d", d.deaths); in renderdiscscores() 225 line.addcol(sc_deaths, "%d", d->deaths); in renderscore() [all …]
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H A D | server.h | 119 …int flagscore, frags, teamkills, deaths, shotdamage, damage, points, events, lastdisc, reconnectio… member 142 …flagscore = frags = teamkills = deaths = shotdamage = damage = points = events = lastdisc = reconn… in reset() 163 …int frags, flagscore, deaths, teamkills, shotdamage, damage, team, points, events, lastdisc, recon… member 169 …frags = flagscore = deaths = teamkills = shotdamage = damage = points = events = lastdisc = reconn… in reset() 176 deaths = cs.deaths; in save() 193 cs.deaths = deaths; in restore()
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/dports/science/py-lifelines/lifelines-0.19.5/lifelines/fitters/ |
H A D | nelson_aalen_fitter.py | 165 def _variance_f_smooth(self, population, deaths): argument 168 … cum_[population - 1] - np.where(population - deaths - 1 >= 0, cum_[population - deaths - 1], 0), 172 def _variance_f_discrete(self, population, deaths): argument 173 return 1.0 * (population - deaths) * deaths / population ** 3 175 def _additive_f_smooth(self, population, deaths): argument 178 … cum_[population - 1] - np.where(population - deaths - 1 >= 0, cum_[population - deaths - 1], 0), 182 def _additive_f_discrete(self, population, deaths): argument 183 return (1.0 * deaths / population).replace([np.inf], 0)
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H A D | kaplan_meier_fitter.py | 188 def _additive_f(self, population, deaths): argument 190 return np.log(population - deaths) - np.log(population) 192 def _additive_var(self, population, deaths): argument 194 return (1.0 * deaths / (population * (population - deaths))).replace([np.inf], 0)
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H A D | cox_time_varying_fitter.py | 454 deaths = events_at_t & (stops_events_at_t == t) 456 tied_death_counts = array_sum_to_scalar(deaths.astype(int)) # should always at least 1 458 xi_deaths = X_at_t[deaths] 460 x_death_sum = matrix_axis_0_sum_to_array(weights_at_t[deaths, None] * xi_deaths) 462 weight_count = array_sum_to_scalar(weights_at_t[deaths]) 479 tie_phi = array_sum_to_scalar(phi_i[deaths]) 480 tie_phi_x = matrix_axis_0_sum_to_array(phi_x_i[deaths]) 481 tie_phi_x_x = np.dot(xi_deaths.T, phi_i[deaths, None] * xi_deaths) 711 deaths = events_at_t & (stops_at_t == t) 713 death_counts = (weights_at_t.squeeze() * deaths).sum() # should always be atleast 1.
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/dports/math/R-cran-KFAS/KFAS/inst/doc/ |
H A D | KFAS.R | 10 deaths <- window(alcohol[, 2], end = 2007) globalVar 21 model_gaussian <- SSModel(deaths / population ~ -1 + 31 ts.plot(cbind(deaths / population, 32 out_gaussian$a[-(length(deaths) + 1), 1], out_gaussian$alphahat[, 1]), 37 model_poisson <- SSModel(deaths ~ -1 + 46 ts.plot(deaths / population, out_gaussian$alphahat[, 1], 52 model_structural <- SSModel(deaths / population ~ 59 drift <- 1:length(deaths) 60 model_arima <- SSModel(deaths / population ~ drift + 131 model_poisson <- SSModel(deaths ~ SSMtrend(2, Q = list(NA, 0)) + [all …]
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/dports/games/xpilot-ng-server/xpilot-ng-4.7.3/src/client/ |
H A D | clientrank.c | 148 (scores[i].deaths != in Rank_score() 150 (double) (scores[i].deaths)) : 0.0; in Rank_score() 175 scores[kdsort[i]].deaths, kd[i]); in Rank_score() 202 scores[kdsort[i]].deaths, kd[i]); in Rank_score() 220 node->deaths = 0; in Init_scorenode() 303 scores[recent[i]].deaths = scores[recent[i]].deaths + 1; in Add_rank_Death() 318 return scores[recent[i]].deaths; in Get_deaths()
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/dports/devel/R-cran-vcd/vcd/man/ |
H A D | VonBort.Rd | 7 on number of deaths by horse or mule kicks in 14 corps of the Prussian 16 \item{deaths}{number of deaths.} 17 \item{year}{year of the deaths.} 53 xtabs(~ deaths, data = VonBort, subset = fisher == "yes")
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/dports/math/R-cran-LearnBayes/LearnBayes/man/ |
H A D | hearttransplants.Rd | 6 The number of deaths within 30 days of heart transplant surgery for 94 U.S. hospitals 7 …rmed at least 10 heart transplant surgeries. Also the exposure, the expected number of deaths, is 16 \item{e}{expected number of deaths (the exposure)} 17 \item{y}{observed number of deaths within 30 days of heart transplant surgery}
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H A D | cancermortality.Rd | 6 Number of cancer deaths and number at risk for 20 cities in Missouri. 14 \item{y}{number of cancer deaths}
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/dports/math/R-cran-forecast/forecast/man/ |
H A D | seasonaldummy.Rd | 42 deaths.lm <- tslm(ldeaths ~ month) 43 tsdisplay(residuals(deaths.lm)) 44 ldeaths.fcast <- forecast(deaths.lm, 49 deaths.lm <- tslm(ldeaths ~ season) 50 ldeaths.fcast <- forecast(deaths.lm, h=36)
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H A D | fourier.Rd | 56 deaths.model <- auto.arima(USAccDeaths, xreg=fourier(USAccDeaths,K=5), seasonal=FALSE) 57 deaths.fcast <- forecast(deaths.model, xreg=fourier(USAccDeaths, K=5, h=36)) 58 autoplot(deaths.fcast) + xlab("Year")
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/dports/science/R-cran-epicalc/epicalc/man/ |
H A D | SO2.Rd | 4 \title{Dataset on air pollution and deaths in UK} 13 \item{\code{deaths}}{a numeric vector: number of deaths}
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H A D | Montana.rd | 4 \title{Dataset on arsenic exposure and respiratory deaths} 6 Dataset from a cohort study of exposure to arsenic from industry and deaths from respiratory diseas… 11 \item{\code{respdeath}}{a numeric vector indicating number of deaths from respiratory diseases}
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/dports/math/R/R-4.1.2/src/library/stats/man/ |
H A D | medpolish.Rd | 61 deaths <- 67 dimnames(deaths) <- list(c("1-24", "25-74", "75-199", "200++", "NA"), 69 deaths 70 (med.d <- medpolish(deaths)) 73 all(deaths ==
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/dports/math/libRmath/R-4.1.1/src/library/stats/man/ |
H A D | medpolish.Rd | 61 deaths <- 67 dimnames(deaths) <- list(c("1-24", "25-74", "75-199", "200++", "NA"), 69 deaths 70 (med.d <- medpolish(deaths)) 73 all(deaths ==
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/dports/games/megaglest/megaglest-source-3.13.0/source/glest_game/game/ |
H A D | stats.cpp | 27 deaths = 0; in PlayerStats() 100 result += "# deaths: " + intToStr(deaths) + "\n"; in getStats() 127 playerStats[killedFactionIndex].deaths++; in kill() 136 playerStats[diedFactionIndex].deaths++; in die() 196 statsNodePlayer->addAttribute("deaths",intToStr(stat.deaths), mapTagReplacements); in saveGame() 253 stat.deaths = statsNodePlayer->getAttribute("deaths")->getIntValue(); in loadGame()
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/dports/science/py-libpysal/libpysal-4.5.1/libpysal/examples/snow_maps/ |
H A D | README.md | 4 Public water pumps and Cholera deaths in London 1854 (John Snow's Cholera Map) 7 * SohoPeople.dbf: attribute data for Cholera deaths. (k=2) 11 * SohoPeople.shp: Point shapefile for Cholera deaths. (n=324)
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/dports/finance/R-cran-strucchange/strucchange/man/ |
H A D | Grossarl.Rd | 9 births, and deaths in the Austrian Alpine village Grossarl during the 20 \item{legitimate}{time series. Number of deaths,} 42 and burials (which is almost equivalent to births and deaths in the study 60 ## time series of births, deaths, marriages 63 with(Grossarl, plot(cbind(deaths, illegitimate + legitimate, marriages), 66 legend("topright", c("deaths", "births", "marriages"), col = grey(c(0.7, 0, 0)),
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/dports/games/openlierox/OpenLieroX/share/gamedir/scripts/ |
H A D | pwn0meter.py | 58 deaths = len(deaders[k]) 63 deaths -= suicides 64 …w.write("<B>[B]%s[/B]</B>: %i kills %i deaths %i suicides, killed:" % ( k, kills, deaths, suicides…
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/dports/www/foswiki/Foswiki-2.1.6/lib/Foswiki/ |
H A D | Validation.pm | 266 my $deaths = 0; 273 $deaths++; 290 $deaths++; 293 if ($deaths) {
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/dports/games/glest/glest_source_3.2.2/source/glest_game/game/ |
H A D | stats.cpp | 22 deaths= 0; in PlayerStats() 43 playerStats[killedFactionIndex].deaths++; in kill()
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/dports/games/jfk/jfk-0.1.1/src/lib/ |
H A D | person.cc | 14 blocked(false), score(0), deaths(0) in person() 39 << " score=" << score << " deaths=" << deaths; in tostring() 67 else if (id == "deaths") deaths = strtoint(value(arg)); in fromstring()
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/dports/games/alephone/alephone-release-20190331/Source_Files/Network/ |
H A D | network_games.h | 43 long get_player_net_ranking(short player_index, short *kills, short *deaths, 45 long get_team_net_ranking(short team, short *kills, short *deaths,
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