Ronin (1998)
Director: John Frankenheimer Cast: Robert De Niro, Jean Reno, Jonathan Pryce, Natascha McElhone, Stellan Skarsgard, Skipp Suddeth, Sean Bean Screenplay: J.D. Zeik, Richard Weisz Producers: Frank Mancuso jr. Runtime: 118 min. US Distribution: MGM/United Artists Rated R: strong violence, language
By Nathaniel R. Atcheson<EMAIL_ADDRESS>In recent years, the kingdom of the action film has gone awry. I'll admit up front that it's a dubious category to begin with, because, if you think about it, action films are little more than stylized and widely-accepted pornography. I don't look down upon them as a whole, for there are many that are quite good.  Here, at last, is a film that doesn't quite fit into any of these categories.
John Frankenheimer's Ronin (which, despite what the credits say, was written mostly by David Mamet) is an action film that seems to aspire to realism and anti-silliness. It is highly stylized, with some of the best camera work and car chases I've seen this year, but it's also about characters and emotions, with Mamet's cynical edge shining through almost every moment of dialogue. The film is exciting and always enjoyable, but it's also thoughtful in a way few action films are (or even try to be). Films like this remind me that even pornography can occasionally pass for art.
However, the most interesting thing in Ronin is its complete lack of any story.  The title of the film refers to a group of samurai who have lost their master, and roam the countryside searching for mercenary work; the characters in this film behave much the same way. The main character is Sam (Robert De Niro), an American. He's a sharp guy, and keeps most of his buddies alive (ah, I love the jingoistic themes in American action films). Among his accomplices are Vincent (Jean Reno), a French guy, Gregor (Stellan Skarsgard) a Russian guy, and Deirdre (Natascha McElhone), an Irish woman.
Deirdre, as it turns out, is the one leading the charade, and her boss, Seamus (Jonathan Pryce), is the one who wants the metal case. What's in the case? Hell if I know. The metal case is nothing more than a red herring, and because every single review I've read of Ronin mentions the fact that we don't get to find out what's in the case, the question never once surfaced in my mind as I viewed the film. To be honest, I don't care what's in the case. If you think about it, there's probably nothing in the case, for an empty prop is easier to carry around than one full of gold or drugs or whatever it could be in the context of the story.
I've read reviews that discuss Ronin as a "confusing" picture, but there's no reason to discuss it on a level of coherence or sensibility. As I said, the plot is pure McGuffin, and the only thing that will linger in the memory are the characters and the individual action scenes. Frankenheimer is an experienced, skillful director, and Ronin proves that he hasn't lost anything since he made The Manchurian Candidate nearly forty years ago. All the action sequences here -- from the roaring car chases all the way through the shootouts on claustrophobic Paris streets -- are fresh and original, and never reek of derivation or obligatory boredom. The camerawork in the quiet scenes is even more noticeably sharp; the best scene in the film has Sam, wounded with a bullet in the gut, guiding Vincent through the process of removing the slug with a scalpel and a pair of scissors. Frankenheimer's visual style is unique and convincing, so much so that every scene in the film rises far above the typical perfunctory execution of most action films.
On top of all this, Ronin has characters. Sam is an interesting one, and De Niro is terrific in the role (though he could play this guy in his sleep). What motivates him to do what he does is left largely to the imagination, but a potent romantic subplot with Deirdre is all we need for full characterization. In the female role, the wondrous McElhone (The Truman Show) is vigorous and engaging. Reno creates a pleasant, sympathetic character, while both Skarsgard and Pryce turn in memorable performances as truly chilling individuals. What makes all these people interesting, however, are the dynamics between them -- the characterization resonates beyond the action film backdrop.
I suppose that real-life action sequences rarely happen in real life. Even the ones that I'd call "realistic" are pretty scarce in the real world. I've been around twenty years, and I've never seen anything that might work as a thrilling sequence in an action film. Ronin, however, makes itself believable by making the characters shady and interesting, and by having the action take place in a different country, so the victims of American pop-culture (such as myself) can observe these things and say, "Wow, that really can happen in Europe!" Frankenheimer and Mamet have created a classic action film here, one that will be remembered because it's so much less silly than its brethren.
***1/2 out of **** (8/10, B+)
Visit FILM PSYCHOSIS at http://www.pyramid.net/natesmovies
Nathaniel R. Atcheson
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|
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|
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Age of Empires 4 gameplay trailer shows off beautiful medieval RTS warfare
by Gerald LynchAge of Empires 4 gameplay trailer shows off beautiful medieval RTS warfare
X019 throws up a treat for strategy gamers
(Image credit: Microsoft)
Microsoft may have not revealed much new about Xbox Project Scarlett at its X019 conference, but it did reveal a host of new games, and one hotly anticipated one in particular – Age of Empires 4.
The veteran real-time strategy series has had a sequel cooking for some years now, and Microsoft took the opportunity to finally pull the covers off what the game's gameplay will look like.
And, if you're a fan of Age of Empires 2 – which you should be, as it's one of the greatest strategy games of all time – you're in for a treat. Age of Empires 4 looks like a true successor to that lauded title, with action-packed medieval warfare and city building:
- Xbox X019: everything that was announced
- The best PC games: what you should be playing right now
Modern(ised) warfare
Those raised on the isometric Age of Empires titles will be looking at those detailed building and troop models with glee – this looks set to be a beautiful strategy game, with battles taking place on a grand scale.
The trailer also gives us our first look at some of the civilisations that will be playable in the game, with what looks like the Mongols and the English going head to head.
And yes, the uber-powerful trebuchet ranged units will be making a return – watch how their missiles cause a castle fortification to crumble.
Being developed by Relic, known for the superb Company of Heroes and Warhammer 40,000 strategy series', we've yet to receive a full release date for Age of Empires 4. But needless to say, we can't wait to strap on a suit of armour and start barking orders at our pikemen.


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class: center, middle, inverse, title-slide # Advanced Spatial Modeling with SPDEs using R and INLA ## Chapter 1: the Integrated Nested Laplace Approximation ### 2018/10/16 --- `$$\renewcommand{\vec}[1]{\boldsymbol{#1}}$$` # Integrated Nested Laplace Approximation For: - observations `\(\vec{y}\)` in an exponential family, - depending on some hyperparameters `\(\vec{\theta_1}\)`, - whose mean `\(\vec{\mu}\)` - is linked to a linear predictor `\(\vec{\eta}\)`, - potentially including some latent effects `\(\vec{x}\)`, - where `\(\vec{x}\)` are distributed as a GMRF, - depending on some hyperparameters `\(\vec{\theta_2}\)`. We have a likelihood `$$p(\vec{y} \mid \vec{x}, \vec{\theta}) = \prod_{i \in I} p(y_i \mid \eta_i, \vec{\theta}).$$` --- ## INLA We have a posterior `$$\begin{aligned} p(\vec{x}, \vec{\theta} \mid \vec{y}) &\propto p(\vec{\theta}) \times p(\mathbf{x} \mid \vec{\theta}) \times \prod_{i \in I} p(y_i \mid x_i,\vec{theta})\\ &\propto p(\vec{\theta}) \times \det\left[\vec{Q}(\vec{\theta})\right]^{1/2} \exp\left\{-\frac{1}{2}\vec{x}^\top \vec{Q}(\vec{\theta}) \vec{x}\right\} \times \prod_{i \in I} \exp \log p\left(y_i \mid \vec{x}, \vec{\theta}\right)\\ &\propto p(\vec{\theta}) \times \det\left[\vec{Q}(\vec{\theta})\right]^{1/2} \exp\left\{-\frac{1}{2}\mathbf{x}^{\top} \vec{Q}(\vec{\theta}) \vec{x} + \sum_{i \in I} \log(p(y_i \mid x_i, \vec{\theta}))\right\}. \end{aligned}$$` ??? - Crappy MathJax rendering??? - See the latent GMRF field! --- ## INLA Then we can get our posterior marginals as `$$\begin{aligned} p(x_i \mid \vec{y}) &= \int p(x_i \mid \vec{\theta}, \vec{y}) p(\vec{\theta} \mid \vec{y}) d\vec{\theta}\\ p(\theta_j \mid \vec{y}) &= \int p(\vec{\theta} \mid \vec{y}) d\theta_{-j} \end{aligned}$$` Both the densities and the integrals are approximated, so that `$$\tilde{p}(x_i \mid \vec{y}) = \sum_k \tilde{p}(x_i \mid \theta_k, \vec{y}) \cdot \tilde{p}(\theta_k \mid \vec{y}) \cdot \Delta_k.$$` Where `\(\Delta_k\)` are integration weights. ??? - Various approximations are available --- # R-INLA ```r library(INLA) data(SPDEtoy) SPDEtoy.sp <- SPDEtoy coordinates(SPDEtoy.sp) <- ~ s1 + s2 ``` --- ## A toy data set  --- ## A simple model `$$\begin{eqnarray} y_i & \sim & \operatorname{Normal}(\mu_i, \tau^{-1}), & i=1, \ldots,200 \nonumber \\ \mu_i & = & \alpha + \beta_1 s_{1i} + \beta_2 s_{2i} \nonumber \\ \alpha & \sim & \operatorname{Uniform} \nonumber\\ \beta_j & \sim & \operatorname{Normal}(0, 0.001^{-1}), & j = 1,2 \nonumber\\ \tau & \sim & \operatorname{Gamma}(1, 0.00005). \nonumber\\ \end{eqnarray}$$` --- ## Fitting the simple model ```r m0 <- inla(y ~ s1 + s2, data = SPDEtoy) m0$summary.fixed ``` ``` mean sd 0.025quant 0.5quant 0.975quant mode kld (Intercept) 10.132 0.242 9.6561 10.132 10.61 10.132 6.24e-07 s1 0.762 0.429 -0.0815 0.762 1.61 0.762 6.24e-07 s2 -1.584 0.429 -2.4276 -1.584 -0.74 -1.584 6.24e-07 ``` --- ## Fitting the simple model  --- ## Adding a random effect Fit the effect of each coordinate as separable random walks, so that `$$\begin{aligned} \Delta u_i &= u_i - u_{i+1} \sim N(0, \tau_{u}^{-1}), & i = 1,\ldots, n - 1\\ \mu_i &= \alpha + u_{1, (i)} + u_{2, (i')} \end{aligned}$$` ```r f.rw1 <- y ~ f(s1, model = "rw1", scale.model = TRUE) + f(s2, model = "rw1", scale.model = TRUE) m1 <- inla(f.rw1, data = SPDEtoy) ``` ??? The `f` components in the formula indicate random effects. --- ### Side note: latent models ```r names(inla.models()$latent) ``` ``` [1] "linear" "iid" "mec" "meb" [5] "rgeneric" "rw1" "rw2" "crw2" [9] "seasonal" "besag" "besag2" "bym" [13] "bym2" "besagproper" "besagproper2" "fgn" [17] "fgn2" "ar1" "ar1c" "ar" [21] "ou" "generic" "generic0" "generic1" [25] "generic2" "generic3" "spde" "spde2" [29] "spde3" "iid1d" "iid2d" "iid3d" [33] "iid4d" "iid5d" "2diid" "z" [37] "rw2d" "rw2diid" "slm" "matern2d" [41] "copy" "clinear" "sigm" "revsigm" [45] "log1exp" "logdist" ``` --- ## Adding a random effect ```r m1$summary.fixed ``` ``` mean sd 0.025quant 0.5quant 0.975quant mode kld (Intercept) 9.86 0.121 9.62 9.86 10.1 9.86 2.42e-13 ``` ```r m1$summary.hyperpar ``` ``` mean sd 0.025quant 0.5quant 0.975quant mode Prec obs 0.351 0.0403 0.276 0.35 0.434 0.349 Prec s1 7.089 20.4765 0.449 2.60 41.163 0.919 Prec s2 46.870 190.8290 1.368 12.88 297.997 3.119 ``` --- ## Adding a random effect  --- ## Prediction ```r pred_locs <- expand.grid(s1 = seq(0.025, 0.975, len = 20), s2 = seq(0.025, 0.975, len = 20), y = NA) SPDEtoy.pred <- rbind(SPDEtoy, pred_locs) m0.pred <- inla(y ~ s1 + s2, data = SPDEtoy.pred, control.predictor = list(compute = TRUE)) m1.pred <- inla(f.rw1, data = SPDEtoy.pred, control.predictor = list(compute = TRUE)) ``` ??? Just use `NA`s as the response where you want predictions --- ## Prediction ```r m0_exp_fn <- function(idx) { inla.emarginal(identity, m0.pred$marginals.fitted.values[[idx]]) } m0_exp_fitted <- sapply(201:600, m0_exp_fn) m1_exp_fn <- function(idx) { inla.emarginal(identity, m1.pred$marginals.fitted.values[[idx]]) } m1_exp_fitted <- sapply(201:600, m1_exp_fn) ``` --- ## Prediction  --- ## Model and summary options

Table 1.3:  Some arguments taken by inla() to define a model and produce a summary of model fitting.
 <colgroup> <col width="14%" /> <col width="85%" /> </colgroup>

 Argument	 Description

 quantiles	 Quantiles to be computed in the summary (default is c(0.025, 0.5, 0.975)).

 E	 Expected values (for some Poisson models, default is NULL).

 offset	 Offset to be added to the linear predictor (default is NULL).

 weights	 Weights on the observations (default is NULL)

 Ntrials	 Number of trials (for some Binomial models, default is NULL).

 verbose	 Verbose output (default is FALSE).

 --- ## Model estimation control arguments

Table 1.4:  Some arguments taken by inla() to customize the estimation process.
 <colgroup> <col width="26%" /> <col width="73%" /> </colgroup>

 Argument	 Description

 control.fixed	 Control options for fixed effects.

 control.family	 Control options for the likelihood.

 control.compute	 Control options for what is computed (e.g., DIC, WAIC, etc.)

 control.predictor	 Control options for the linear predictor.

 control.inla	 Control options for how the posterior is computed.

 control.results	 Control options for computing the marginals of random effects and linear predictors.

 control.mode	 Control options to set the modes of the hyperparameters.

 --- ## Model and summary options ```r compute_opts <- list(dic = TRUE, cpo = TRUE, waic = TRUE) m0.opts <- inla(y ~ s1 + s2, data = SPDEtoy, control.compute = compute_opts) m1.opts <- inla(f.rw1, data = SPDEtoy, control.compute = compute_opts) ``` | Model | WAIC | Effective parameters | | :------ | ----: | ---------: | | Linear | 810 | 3.69 | | RW1 | 800 | 15.53 | --- ## Approximation strategies

Table 1.5:  Some options that can be passed though control.inla to control the estimation process with INLA. Check the manual page (with ?control.inla) for more details.
 <colgroup> <col width="20%" /> <col width="80%" /> </colgroup>

 Option	 Description

 strategy	 Strategy used for the approximations: simplified.laplace (default), adaptive, gaussian or laplace.

 int.strategy	 Integration strategy: auto (default), ccd, grid or eb (check manual page for other options).

 ??? Strategies - listed from least to most precise approximations - also least to most computationally expensive --- ## Approximation strategies ```r m1.ccd <- inla(f.rw1, data = SPDEtoy, control.compute = compute_opts, control.inla = list(int.strategy = "ccd")) m1.grid <- inla(f.rw1, data = SPDEtoy, control.compute = compute_opts, control.inla = list(int.strategy = "grid")) m1.eb <- inla(f.rw1, data = SPDEtoy, control.compute = compute_opts, control.inla = list(int.strategy = "eb")) ``` | | Pre| Running| Post| Total| |:----|-----:|-------:|-----:|-----:| |CCD | 0.327| 0.302| 0.042| 0.671| |Grid | 0.334| 9.588| 0.060| 9.982| |EB | 0.319| 0.284| 0.044| 0.647| ??? CCD: Central Composite Design Grid: grid integration EB: Empirical Bayes; no integration of hyperparameters Approximation precision: grid > ccd > eb Computation grid >> ccd > eb EB much reduced computation for more complicated models; maybe useful for quick model iteration? --- class: left, middle # It's not enough to say that you used a vague prior and hope. .right[### Hope has no place in statistics. —[Daniel Simpson](http://andrewgelman.com/2018/04/03/justify-my-love/)] ??? - Non-informative priors are *hard* (i.e. deriving Jeffrey's) - Berger et al. 2001 - Oliveira 2007 with measurement error - Model-specific - Maybe just want MAP == MLE? - What does that even mean? - And besides that... --- ## Priors: Fixed effects ### Use the `control.fixed` argument

Table 1.6:  Options to set the prior of the fixed effects in argument control.fixed.
 <colgroup> <col width="24%" /> <col width="75%" /> </colgroup>

 Option	 Description

 mean.intercept	 Prior mean for the intercept (default is \(0\)).

 prec.intercept	 Prior precision for the intercept (default is \(0\)).

 mean	 Prior mean for the coefficients of the covariates (default is \(0\)). It can be a named list.

 prec	 Prior precision for the coefficients of the covariates (default is \(0.001\)). It can be a named list.

 ??? - Note sure what's going on with intercept prior precision of 0? Probably a typo - Separate priors for intercept and each covariate effect. - Note priors on *precision*, not standard deviation --- ## Priors: Hyperparameters ### Use `hyper` in `control.likelihood`

Table 1.7:  Options to set the prior of the hyperparameters in the likelihood and random effects.
 <colgroup> <col width="24%" /> <col width="75%" /> </colgroup>

 Option	 Description

 initial	 Initial value of the hyperparameter.

 prior	 Prior distribution to be used.

 param	 Vector with the values of the parameters of the prior distribution.

 fixed	 Boolean variable to set the parameter to a fixed value (default FALSE).

 ??? Be careful; priors are always on *internal* scale (e.g. log-precisions) --- ## Priors: Example ```r # Prior on the fixed effects prior.fixed <- list(mean.intercept = 0, prec.intercept = 1, mean = 0, prec = 1) # Prior on the likelihood precision (log-scale) prior.prec <- list(initial = 0, prior = "normal", param = c(0, 1), fixed = FALSE) # Prior on the precision of the RW1 prior.rw1 <- list(initial = 0, fixed = TRUE) ``` --- ## Priors: Example ```r f.hyper <- y ~ 1 + f(s1, model = "rw1", hyper = list(prec = prior.rw1), scale.model = TRUE) + f(s2, model = "rw1", hyper = list(prec = prior.rw1), scale.model = TRUE) m1.hyper <- inla(f.hyper, data = SPDEtoy, control.fixed = prior.fixed, control.family = list(hyper = list(prec = prior.prec))) ``` --- ## Priors: Example ```r m1$summary.fixed ``` ``` mean sd 0.025quant 0.5quant 0.975quant mode kld (Intercept) 9.86 0.121 9.62 9.86 10.1 9.86 2.42e-13 ``` ```r m1.hyper$summary.fixed ``` ``` mean sd 0.025quant 0.5quant 0.975quant mode kld (Intercept) 9.73 0.117 9.49 9.73 9.95 9.73 2.81e-06 ``` --- ## Priors: Example ```r m1$summary.hyperpar ``` ``` mean sd 0.025quant 0.5quant 0.975quant mode Prec obs 0.351 0.0403 0.276 0.35 0.434 0.349 Prec s1 7.089 20.4765 0.449 2.60 41.163 0.919 Prec s2 46.870 190.8290 1.368 12.88 297.997 3.119 ``` ```r m1.hyper$summary.hyperpar ``` ``` mean sd 0.025quant 0.5quant 0.975quant mode Prec obs 0.37 0.0393 0.298 0.369 0.452 0.365 ``` ??? RW1 hyperparameter values are not estimated (`fixed = TRUE`), so they are not listed in the summary. --- ## Using posterior marginals

Table 1.8:  Functions to manipulate the posterior marginals.

 Function	 Description

 inla.emarginal()	 Compute the expectation of a function.

 inla.dmarginal()	 Compute the density.

 inla.pmarginal()	 Compute a probability.

 inla.qmarginal()	 Compute a quantile.

 inla.rmarginal()	 Sample from the marginal.

 inla.hpdmarginal()	 Compute a high probability density (HPD) interval.

 inla.smarginal()	 Interpolate the posterior marginal.

 inla.mmarginal()	 Compute the mode.

 inla.tmarginal()	 Transform the marginal.

 inla.zmarginal()	 Compute summary statistics.

 --- ## Penalized Complexity priors Shrinks a fit towards a "base" model, with interpretable priors: `$$\Pr(\sigma > u) = \alpha,\ u > 0,\ 0 < \alpha < 1.$$` So a prior on our random walk precision with a 1% probability of a precision less than 1 is declared as: ```r pcprior <- list(prec = list(prior = "pc.prec", param = c(1, 0.01))) f.rw1.pc <- y ~ f(s1, model = "rw1", scale.model = TRUE, hyper = pcprior) + f(s2, model = "rw1", scale.model = TRUE, hyper = pcprior) m1.pc <- inla(f.rw1.pc, data = SPDEtoy) ``` --- ## Penalized Complexity priors  ??? Similar priors are also available for Matérn covariance parameters, as discussed in chapter 2. --- class: left, middle # Advanced likelihoods --- ## Multiple likelihoods `$$\begin{eqnarray} y_i & \sim & N(\mu_i, \tau_1^{-1}), & i = 1,\ldots, 200 \nonumber \\ y_i & \sim & N(\mu_i, \tau_2^{-1}), & i = 201,\ldots, 400 \nonumber \\ \mu_i & = & \alpha + \beta_1 s_{1i} + \beta_2 s_{2i}, & i=1,\ldots,400 \nonumber \\ \alpha & \sim & \operatorname{Uniform} \nonumber\\ \beta_j & \sim & N(0, 0.001^{-1}), & j = 1, 2 \nonumber\\ \tau_j & \sim & Ga(1, 0.00005), & j = 1, 2 \nonumber\\ \end{eqnarray}$$` --- ## Multiple likelihoods ```r # Generate new observations with additional noise SPDEtoy$y2 <- SPDEtoy$y + rnorm(nrow(SPDEtoy), sd = 2) # Number of locations n <- nrow(SPDEtoy) # Response matrix Y <- matrix(NA, ncol = 2, nrow = n * 2) # Add `y` in first column, rows 1 to 200 Y[1:n, 1] <- SPDEtoy$y # Add `y2` in second column, rows 201 to 400 Y[n + 1:n, 2] <- SPDEtoy$y2 ``` --- ## Multiple likelihoods ```r m0.2lik_dat <- data.frame(Y = Y, s1 = rep(SPDEtoy$s1, 2), s2 = rep(SPDEtoy$s2, 2)) m0.2lik <- inla(Y ~ s1 + s2, family = c("gaussian", "gaussian"), data = m0.2lik_dat) ``` ```r head(m0.2lik_dat, 3) ``` ``` Y.1 Y.2 s1 s2 1 11.521206 NA 0.08265625 0.05640625 2 5.277960 NA 0.61230625 0.91680625 3 6.902959 NA 0.16200625 0.35700625 ``` ```r tail(m0.2lik_dat, 3) ``` ``` Y.1 Y.2 s1 s2 398 NA 12.801234 0.02480625 0.00765625 399 NA 12.974725 0.42575625 0.00600625 400 NA 4.892098 0.13140625 0.33930625 ``` ??? Data frame is as expected, apparently INLA picks up a `Y` response to include `Y.1` and `Y.2`. Not sure if this means we should be careful about names in data frames passed to `inla`. --- ## Multiple likelihoods ```r m0.2lik$summary.fixed ``` ``` mean sd 0.025quant 0.5quant 0.975quant (Intercept) 10.0921169 0.1989410 9.7011544 10.0921599 10.4824780 s1 0.9251948 0.3529444 0.2324179 0.9249872 1.6184804 s2 -1.6645549 0.3526899 -2.3576998 -1.6644674 -0.9725374 mode kld (Intercept) 10.0922634 1.990902e-07 s1 0.9246007 2.571243e-07 s2 -1.6642616 2.028734e-07 ``` ```r m0.2lik$summary.hyperpar ``` ``` mean sd 0.025quant 0.5quant 0.975quant mode Prec obs 1 0.310 0.0310 0.253 0.309 0.375 0.306 Prec obs 2 0.146 0.0145 0.119 0.145 0.176 0.144 ``` --- ## Copy effect `$$\begin{eqnarray} y_i & \sim & N(\mu_i, \tau^{-1}), & i = 1,\ldots, 400 \nonumber \\ \mu_i & = & \alpha + \beta_1 s_{1i} + \beta_2 s_{2i}, & i=1,\ldots,200 \nonumber \\ \mu_i & = & \alpha + \beta_1 s_{1i} + \beta \cdot\beta^{*}_2 s_{2i}, & i=201,\ldots,400 \nonumber \\ \alpha & \sim & \operatorname{Uniform} \nonumber\\ \beta_j & \sim & N(0, 0.001^{-1}), & j = 1, 2 \nonumber\\ \beta^*_2 & \sim & N(\beta_2, \tau_{\beta_2}^{-1} = 1 / \exp(14)) \nonumber \\ \tau_j & \sim & Ga(1, 0.00005), & j = 1, 2 \nonumber \end{eqnarray}$$` ??? - Share an effect between different parts of the likelihood - Uses shared coefficient on s_2, with potential for some multiplicative error. --- ## Copy effect ```r y.vec <- c(SPDEtoy$y, SPDEtoy$y2) r <- rep(1:2, each = nrow(SPDEtoy)) s1.vec <- rep(SPDEtoy$s1, 2) s2.vec <- rep(SPDEtoy$s2, 2) i1 <- c(rep(1, n), rep(NA, n)) i2 <- c(rep(NA, n), rep(1, n)) d <- data.frame(y.vec, s1.vec, s2.vec, i1, i2) ``` --- ## Copy effect Simple copy: ```r tau.prior = list(prec = list(initial = 0.001, fixed = TRUE)) f.copy <- y.vec ~ s1.vec + f(i1, s2.vec, model = "iid", hyper = tau.prior) + f(i2, s2.vec, copy = "i1") m0.copy <- inla(f.copy, data = d) ``` With estimated multiplicative effect: ```r f.copy2 <- y.vec ~ s1.vec + f(i1, s2.vec, model = "iid") + f(i2, s2.vec, copy = "i1", fixed = FALSE) m0.copy2 <- inla(f.copy2, data = d) ``` --- ## Replicate effect ```r d$r <- rep(1:2, each = nrow(SPDEtoy)) f.rep <- y.vec ~ f(s1.vec, model = "linear", replicate = r) + f(s2.vec, model = "linear", replicate = r) m0.rep <- inla(f.rep, data = d) ``` ??? Shared hyperparameter values --- ## Linear combinations of latent effects Uses the `\(\vec{A}\)` "observation" matrix, where `$$\vec{\eta}^{*\top} = \vec{A}\vec{\eta}^\top.$$` ```r # Define A matrix A = Diagonal(n + n, 10) # Fit model m0.A <- inla(f.rep, data = d, control.predictor = list(A = A)) ``` ??? - Very useful for interpolating SPDE effects! - This code does give an error though... --- # Note!! Most of the code, charts, and other content is taken from [Chapter 1 of ASMwSPDEinR&INLA](https://becarioprecario.bitbucket.io/spde-gitbook/ch-INLA.html), and all credit is due to those authors.


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HEARTWOOD
A Film Review by James Berardinelli
RATING: **1/2 OUT OF ****
United States, 1998 U.S. Release Date: 4/17/98 (variable & limited) Running Length: 1:31 MPAA Classification: No MPAA Rating (Profanity, mild violence, brief nudity) Theatrical Aspect Ratio: 1.85:1
Cast: Eddie Mills, Hilary Swank, Jason Robards, Randall Batinkoff, John Terry, John Dennis Johnston, Denise Dummont Director: Lanny Cotler Producer: Steve Cotler Screenplay: Steve Cotler and Lanny Cotler Cinematography: Rob Sweeney Music: Ray Colcord
What would happen, I wonder, if Frank Capra was still alive and making films today? Would his unique blend of feel-good optimism and old-fashioned values be accepted by jaded movie-going audiences that increasingly seem to suffer from attention deficit syndrome? Or, can Capra only be appreciated today in black-and-white, as a reminder of what films used to be during "simpler times?" Of course, there's the other side of the coin to consider, as well -- a film trying to recapture Capra's style could easily end up going over-the-top into saccharine melodrama.
HEARTWOOD, an independent production from the Cotler Brothers (Steve produced, Lanny directed, and both shared writing chores), attempts, with limited success, to invoke Capra's memory. The ending, with its obvious nod to IT'S A WONDERFUL LIFE, mines a vein of goodwill and uplifting sentiment, and, as a result, may seem a little corny and behind-the-times to all but the most uncynical of viewers. Perhaps part of the reason is that, in today's "me-first" world, it doesn't seem reasonable that people would willingly hand over their life's savings to preserve a community and a way of life. So the Cotlers have taken a risk in making this sort of movie in 1998. HEARTWOOD assuredly has an audience out there somewhere; the difficulty for the Cotlers, who are distributing it themselves, is finding it.
Ultimately, the risk might have paid off more handsomely had there not been several obvious production problems. HEARTWOOD, although rooted in the soil of good intentions, is flawed. The film is basically a modern day fairy tale with a happy ending, and, for a movie like this to be entirely successful, it must be crafted with great care and attention to detail. HEARTWOOD suffers from sketchily-developed characters that seem real and believable only about half the time. Worse still, several key scenes are undermined by uneven acting.
The plot of HEARTWOOD combines three different elements into one story. The first, and least-inspired, is a fairly traditional boy- meets-girl romance. The second focuses on a young man trying to find a sense of self-worth. The third, and most consistently interesting, deals with the struggles of a saw mill owner to balance environmental concerns with his desperate need for money. HEARTWOOD's intelligent, non-preachy approach to the ecological disaster befalling California's redwood forest earned it a citation from SAVE AMERICA'S TREES, a forest preservation society. The Cotlers express this aspect of their film subtly, by making the forest a strong presence -- almost to the point where it functions as a supporting character.
HEARTWOOD takes place in the small California town of Deroy (population between 200 and 300), where everyone is employed by the local saw mill, which is owned by the grizzled, life-weary Logan Reeser (Jason Robards). Logan's refusal to rape the forests for quick financial gain has put him deep in debt, and he's in danger of losing the mill to the banks. Coming to his rescue is an unlikely candidate -- Frank (Eddie Mills), Deroy's resident slacker, a jobless college-age young man who spends all day roaming the forests and hunting small animals. After finding a gold nugget in a riverbed, he has a brainstorm that might prove to be Logan's salvation. Meanwhile, Frank has fallen in love with a visiting college student, Sylvia (Hilary Swank), who is also the local hotshot's object of affection. Bolstered by confidence gained from finding the nugget, Frank sets out to win her while impressing her parents and saving the mill.
Aspects of HEARTWOOD work exceptionally well. The cinematography is glorious, running a close second to THE HORSE WHISPERER for the most stunning views of sunrises and sunsets to come across the screen this year. The film also offers insight into the fascinating workings of a community whose entire existence is entwined with the success of a saw mill. I especially liked one character's rationalization for cutting down trees: "It's survival of the fittest." (That hardly seems fair, since the only way a tree can fight back is to fall on you.) There are also a number of effectively-realized character moments, such as one where Frank offers to brush Sylvia's hair as they share a quiet moment.
Unfortunately, there are instances when the plot's preposterous turns are highlighted (rather than camouflaged) by the overwrought performances of the two leads. Eddie Mills and Hilary Swank (THE NEW KARATE KID) are fine when they're not required to depict powerful emotions, but, on those occasions when the script demands passion, tears, rage, or some equally heartfelt display, their performances become awkward and unconvincing, and this hurts HEARTWOOD's believability. Several of the other actors, including Jason Robards, John Terry, and especially Denise Dummont (who stands out despite limited screen time), are quite good, but their effective portrayals are overshadowed by the unevenness exhibited by Mills and Swank.
In many ways, HEARTWOOD reminded me of 1996's THE SPITFIRE GRILL. Although I think the Cotlers' film is somewhat less manipulative and true-to-itself, there are similarities in tone and intent. HEARTWOOD's great strength is its ability to fold an intelligent message seamlessly into the story; its weakness is that the narrative is hurt, rather than helped, by the performances. It's possible to appreciate this kind of film for the way it recalls Capra's spirit; it's just not strong enough to evade the labels of "melodramatic" and "corny."
Copyright 1998 James Berardinelli
- James Berardinelli e-mail<EMAIL_ADDRESS>Now with more than 1400 reviews... The ReelViews web site: http://movie-reviews.colossus.net/
"My belief is that no movie, nothing in life, leaves people neutral.
-- David Puttnam
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|
Contiki 2.5
|
Many of the supplied example applications use these microcontroller functions. More...
Defines | |
| #define | MICRO_DISABLE_WATCH_DOG_KEY 0xA5 |
| The value that must be passed as the single parameter to halInternalDisableWatchDog() in order to sucessfully disable the watchdog timer. | |
| #define | PORTA_PIN(y) (PORTA|y) |
| Some registers and variables require indentifying GPIO by a single number instead of the port and pin. | |
| #define | PORTB_PIN(y) (PORTB|y) |
| Some registers and variables require indentifying GPIO by a single number instead of the port and pin. | |
| #define | PORTC_PIN(y) (PORTC|y) |
| Some registers and variables require indentifying GPIO by a single number instead of the port and pin. | |
| #define | PORTx_PIN(x, y) (x|y) |
| Some registers and variables require indentifying GPIO by a single number instead of the port and pin. | |
Functions | |
| void | halInit (void) |
| Initializes microcontroller-specific peripherals. | |
| void | halReboot (void) |
| Restarts the microcontroller and therefore everything else. | |
| void | halPowerUp (void) |
| Powers up microcontroller peripherals and board peripherals. | |
| void | halPowerDown (void) |
| Powers down microcontroller peripherals and board peripherals. | |
| void | halInternalEnableWatchDog (void) |
| Enables the watchdog timer. | |
| void | halInternalDisableWatchDog (int8u magicKey) |
| Disables the watchdog timer. | |
| boolean | halInternalWatchDogEnabled (void) |
| Determines whether the watchdog has been enabled or disabled. | |
| void | halCommonDelayMicroseconds (int16u us) |
| Blocks the current thread of execution for the specified amount of time, in microseconds. | |
| StStatus | halBootloaderStart (int8u mode, int8u channel, int16u panId) |
| Request the appplication to enter in bootloader mode. | |
| void | halInternalResetWatchDog (void) |
| Resets the watchdog timer. | |
| void | halGpioConfig (int32u io, int32u config) |
| Configure an IO pin's operating mode. | |
| void | halGpioSet (int32u io, boolean value) |
| Set/Clear single GPIO bit. | |
| void | halInternalCalibrateSlowRc (void) |
| Calibrates the internal SlowRC to generate a 1024 Hz (1kHz) clock. | |
| void | halInternalCalibrateFastRc (void) |
| Calibrates the internal FastRC to generate a 12Mhz clock. | |
| void | halInternalSetRegTrim (boolean boostMode) |
| Sets the trim values for the 1.8V and 1.2V regulators based upon manufacturing configuration. | |
| int16u | stMeasureVddSlow (void) |
| Takes a slow ADC measurement of VDD_PADS in millivolts. | |
| int16u | stMeasureVddFast (void) |
| Takes a fast ADC measurement of VDD_PADS in millivolts. | |
| void | halCommonCalibratePads (void) |
| Calibrates the GPIO pads. | |
| void | halCommonCheckXtalBiasTrim (void) |
| This function is intended to be called periodically, from the stack and application, to check the XTAL bias trim is within appropriate levels and adjust if not. | |
| void | halInternalSwitchToXtal (void) |
| Switches to running off of the 24MHz crystal, including changing the CPU to be 24MHz (FCLK sourced from SYSCLK). | |
| void | halInternalSearchForBiasTrim (void) |
| Search for optimal 24MHz crystal bias trim, assuming no valid prior value. | |
| void | halCommonDelayMilliseconds (int16u ms) |
| Blocks the current thread of execution for the specified amount of time, in milliseconds. | |
| void | halSleepWithOptions (SleepModes sleepMode, int32u gpioWakeBitMask) |
| Puts the microcontroller to sleep in a specified mode, allows the GPIO wake sources to be determined at runtime. | |
| StStatus | halSleepForQsWithOptions (int32u *duration, int32u gpioWakeBitMask) |
| Uses the system timer to enter ::SLEEPMODE_WAKETIMER for approximately the specified amount of time (provided in quarter seconds), the GPIO wake sources can be provided at runtime. | |
| void | halInternalIdleSleep (void) |
| Provides access to assembly code which triggers idle sleep. | |
| void | halInternalSleep (SleepModes sleepMode) |
| Puts the microcontroller to sleep in a specified mode. | |
| int32u | halGetWakeInfo (void) |
| Obtains the events that caused the last wake from sleep. | |
| void | halCommonSeedRandom (int32u seed) |
| Seeds the halCommonGetRandom() pseudorandom number generator. | |
| int16u | halCommonGetRandom (void) |
| Runs a standard LFSR to generate pseudorandom numbers. |
Many of the supplied example applications use these microcontroller functions.
See also hal/micro/cortexm3/micro.h for source code.
See hal/micro/micro-common.h for source code.
| #define PORTA_PIN | ( | y | ) | (PORTA|y) |
Some registers and variables require indentifying GPIO by a single number instead of the port and pin.
This macro converts Port A pins into a single number.
Definition at line 36 of file micro-common.h.
Referenced by halBoardPowerUp().
| #define PORTB_PIN | ( | y | ) | (PORTB|y) |
Some registers and variables require indentifying GPIO by a single number instead of the port and pin.
This macro converts Port B pins into a single number.
Definition at line 42 of file micro-common.h.
Referenced by halBoardPowerDown(), halBoardPowerUp(), halInternalSleep(), and uartInit().
| #define PORTC_PIN | ( | y | ) | (PORTC|y) |
Some registers and variables require indentifying GPIO by a single number instead of the port and pin.
This macro converts Port C pins into a single number.
Definition at line 48 of file micro-common.h.
Referenced by halBoardPowerUp().
| #define PORTx_PIN | ( | x, | |
| y | |||
| ) | (x|y) |
Some registers and variables require indentifying GPIO by a single number instead of the port and pin.
This macro converts Port C pins into a single number.
Definition at line 55 of file micro-common.h.
Referenced by halBoardPowerDown(), halBoardPowerUp(), halInitButton(), and leds_arch_init().
| StStatus halBootloaderStart | ( | int8u | mode, |
| int8u | channel, | ||
| int16u | panId | ||
| ) |
Request the appplication to enter in bootloader mode.
This function will check whwther the user flash contains the bootloader and if yes it will jump into it according to the user parameters.
| mode | The bootloader mode, 0 UART mode, 1 RF mode. All other values are reserved |
| channel | The channel where the booloader will operate. 0 means default channel (only vaild for RF mode). |
| panID | The panID where the booloader will operate. 0xFFFF means default panID (only vaild for RF mode). |
Definition at line 130 of file micro.c.
References halReboot(), IAP_BOOTLOADER_APP_SWITCH_SIGNATURE, IAP_BOOTLOADER_DEFAULT_CHANNEL, IAP_BOOTLOADER_MODE_OTA, and IAP_BOOTLOADER_MODE_UART.
| void halCommonCalibratePads | ( | void | ) |
Calibrates the GPIO pads.
This function is called from within the stack and HAL at appropriate times.
Definition at line 192 of file micro-common-internal.c.
References stMeasureVddFast().
Referenced by halPowerUp().
| void halCommonCheckXtalBiasTrim | ( | void | ) |
This function is intended to be called periodically, from the stack and application, to check the XTAL bias trim is within appropriate levels and adjust if not.
This function is *not* designed to be used before halInternalSwitchToXtal() has been called.
| void halCommonDelayMicroseconds | ( | int16u | us | ) |
Blocks the current thread of execution for the specified amount of time, in microseconds.
The function is implemented with cycle-counted busy loops and is intended to create the short delays required when interfacing with hardware peripherals.
The accuracy of the timing provided by this function is not specified, but a general rule is that when running off of a crystal oscillator it will be within 10us. If the micro is running off of another type of oscillator (e.g. RC) the timing accuracy will potentially be much worse.
| us | The specified time, in microseconds. Values should be between 1 and 65535 microseconds. |
Definition at line 250 of file micro-common-internal.c.
Referenced by halCommonDelayMilliseconds(), halInternalCalibrateFastRc(), and halInternalCalibrateSlowRc().
| void halCommonDelayMilliseconds | ( | int16u | ms | ) |
Blocks the current thread of execution for the specified amount of time, in milliseconds.
The function is implemented with cycle-counted busy loops and is intended to create the short delays required when interfacing with hardware peripherals. This function works by simply adding another layer on top of halCommonDelayMicroseconds().
| ms | The specified time, in milliseconds. |
Definition at line 284 of file micro-common-internal.c.
References halCommonDelayMicroseconds().
| int16u halCommonGetRandom | ( | void | ) |
Runs a standard LFSR to generate pseudorandom numbers.
Called by the MAC in the stack to choose random backoff slots.
Complicated implementations may improve the MAC's ability to avoid collisions in large networks, but it is critical to implement this function to return quickly.
| void halCommonSeedRandom | ( | int32u | seed | ) |
Seeds the halCommonGetRandom() pseudorandom number generator.
It should be called by the application during initialization with a seed from the radio randon number generator.
| seed | A seed for the pseudorandom number generator. |
| int32u halGetWakeInfo | ( | void | ) |
Obtains the events that caused the last wake from sleep.
The meaning of each bit is as follows:
WakeInfoValid means that halSleepWithOptions (halInternalSleep) has been called at least once. Since the power on state clears the wake event info, this bit says the sleep code has been called since power on.
SleepSkipped means that the chip never left the running state. Sleep can be skipped if any wake event occurs between going ATOMIC and transferring control from the CPU to the power management state machine. Sleep can also be skipped if the debugger is connected (JTAG/SerialWire CSYSPWRUPREQ signal is set). The net affect of skipping sleep is the Low Voltage domain never goes through a power/reset cycle.
| void halGpioConfig | ( | int32u | io, |
| int32u | config | ||
| ) |
Configure an IO pin's operating mode.
| io | The io pin to use, can be specified with the convenience macros PORTA_PIN(), PORTB_PIN(), PORTC_PIN() |
| config | The configuration mode to use. |
Definition at line 48 of file micro-common.c.
Referenced by halBoardPowerDown(), halBoardPowerUp(), halInitButton(), halInitLed(), leds_arch_init(), temperatureSensor_Init(), and uartInit().
| void halGpioSet | ( | int32u | io, |
| boolean | value | ||
| ) |
Set/Clear single GPIO bit.
| io | The io pin to use, can be specified with the convenience macros PORTA_PIN(), PORTB_PIN(), PORTC_PIN() |
| value | A flag indicating whether to set or clear the io. |
Definition at line 63 of file micro-common.c.
References BIT.
Referenced by halBoardPowerDown(), halBoardPowerUp(), halClearLed(), halInitButton(), and halSetLed().
| void halInternalDisableWatchDog | ( | int8u | magicKey | ) |
Disables the watchdog timer.
| magicKey | A value (MICRO_DISABLE_WATCH_DOG_KEY) that enables the function. |
Definition at line 31 of file micro-common.c.
References MICRO_DISABLE_WATCH_DOG_KEY.
Referenced by halInternalSleep().
| void halInternalResetWatchDog | ( | void | ) |
Resets the watchdog timer.
This function is pointed to by the macro halResetWatchdog().
Definition at line 25 of file micro-common.c.
| void halInternalSearchForBiasTrim | ( | void | ) |
Search for optimal 24MHz crystal bias trim, assuming no valid prior value.
This function is typically called during initialization of the microcontroller.
Definition at line 338 of file clocks.c.
Referenced by halInternalSwitchToXtal().
| void halInternalSetRegTrim | ( | boolean | boostMode | ) |
Sets the trim values for the 1.8V and 1.2V regulators based upon manufacturing configuration.
| boostMode | Alter the regulator trim based upon the state of boost mode. TRUE if boost mode is active, FALSE otherwise. |
Definition at line 202 of file micro-common-internal.c.
Referenced by halInit().
| void halInternalSleep | ( | SleepModes | sleepMode | ) |
Puts the microcontroller to sleep in a specified mode.
This internal function performs the actual sleep operation. This function assumes all of the wake source registers are configured properly.
| sleepMode | A microcontroller sleep mode |
Definition at line 127 of file sleep.c.
References BIT, BIT32, FALSE, halInternalDisableWatchDog(), halInternalEnableWatchDog(), halInternalIdleSleep(), halInternalWatchDogEnabled(), INTERRUPTS_OFF, INTERRUPTS_ON, MICRO_DISABLE_WATCH_DOG_KEY, PORTB_PIN, and TRUE.
Referenced by halSleepWithOptions().
| void halInternalSwitchToXtal | ( | void | ) |
Switches to running off of the 24MHz crystal, including changing the CPU to be 24MHz (FCLK sourced from SYSCLK).
The switch function will respect the BIASTRIM HI and LO flags and adjust bias trim until appropriate crystal biasing is used. This function is called from within the stack and HAL at appropriate times.
| boolean halInternalWatchDogEnabled | ( | void | ) |
Determines whether the watchdog has been enabled or disabled.
Definition at line 39 of file micro-common.c.
Referenced by halInternalSleep().
| StStatus halSleepForQsWithOptions | ( | int32u * | duration, |
| int32u | gpioWakeBitMask | ||
| ) |
Uses the system timer to enter ::SLEEPMODE_WAKETIMER for approximately the specified amount of time (provided in quarter seconds), the GPIO wake sources can be provided at runtime.
This function returns ::ST_SUCCESS and the duration parameter is decremented to 0 after sleeping for the specified amount of time. If an interrupt occurs that brings the chip out of sleep, the function returns ::ST_SLEEP_INTERRUPTED and the duration parameter reports the amount of time remaining out of the original request.
| duration | The amount of time, expressed in quarter seconds, that the micro should be placed into ::SLEEPMODE_WAKETIMER. When the function returns, this parameter provides the amount of time remaining out of the original sleep time request (normally the return value will be 0). |
| gpioWakeBitMask | A bit mask of the GPIO that are allowed to wake the chip from deep sleep. A high bit in the mask will enable waking the chip if the corresponding GPIO changes state. bit0 is PA0, bit1 is PA1, bit8 is PB0, bit16 is PCO, bit23 is PC7, bits[31:24] are ignored. |
Definition at line 168 of file system-timer.c.
References TRUE.
| void halSleepWithOptions | ( | SleepModes | sleepMode, |
| int32u | gpioWakeBitMask | ||
| ) |
Puts the microcontroller to sleep in a specified mode, allows the GPIO wake sources to be determined at runtime.
This function requires the GPIO wake sources to be defined at compile time in the board file.
| sleepMode | A microcontroller sleep mode. |
| gpioWakeBitMask | A bit mask of the GPIO that are allowed to wake the chip from deep sleep. A high bit in the mask will enable waking the chip if the corresponding GPIO changes state. bit0 is PA0, bit1 is PA1, bit8 is PB0, bit16 is PCO, bit23 is PC7, bits[31:24] are ignored. |
Definition at line 848 of file sleep.c.
References halInternalSleep().
Referenced by main().
| int16u stMeasureVddFast | ( | void | ) |
Takes a fast ADC measurement of VDD_PADS in millivolts.
Due to the conversions performed, this function takes slightly under 150us with a variation across successive conversions approximately +/-20mv of the average conversion.
Definition at line 140 of file micro-common-internal.c.
Referenced by halCommonCalibratePads().
| int16u stMeasureVddSlow | ( | void | ) |
Takes a slow ADC measurement of VDD_PADS in millivolts.
Due to the conversions performed, this function takes slightly under 3.2ms with a variation across successive conversions approximately +/-2mv of the average conversion.


|
Couchbase Lite C
Couchbase Lite C API
|
Managing messages that Couchbase Lite logs at runtime. More...
Data Structures | |
| struct | CBLLogFileConfiguration |
| The properties for configuring logging to files. More... | |
Enumerations | |
| enum | CBLLogDomain : uint8_t { kCBLLogDomainAll, kCBLLogDomainDatabase, kCBLLogDomainQuery, kCBLLogDomainReplicator, kCBLLogDomainNetwork } |
| Subsystems that log information. More... | |
| enum | CBLLogLevel : uint8_t { CBLLogDebug, CBLLogVerbose, CBLLogInfo, CBLLogWarning, CBLLogError, CBLLogNone } |
| Levels of log messages. More... | |
Functions | |
| void | CBL_Log (CBLLogDomain domain, CBLLogLevel level, const char *format,...) __printflike(3 |
| Formats and writes a message to the log, in the given domain at the given level. More... | |
| void void | CBL_LogMessage (CBLLogDomain domain, CBLLogLevel level, FLSlice message) |
| Writes a pre-formatted message to the log, exactly as given. More... | |
Console Logging and Custom Logging | |
| typedef void(* | CBLLogCallback) (CBLLogDomain domain, CBLLogLevel level, FLString message) |
| A logging callback that the application can register. More... | |
| CBLLogLevel | CBLLog_ConsoleLevel (void) |
| Gets the current log level for debug console logging. More... | |
| void | CBLLog_SetConsoleLevel (CBLLogLevel) |
| Sets the detail level of logging. More... | |
| CBLLogLevel | CBLLog_CallbackLevel (void) |
| Gets the current log level for debug console logging. More... | |
| void | CBLLog_SetCallbackLevel (CBLLogLevel) |
| Sets the detail level of logging. More... | |
| CBLLogCallback | CBLLog_Callback (void) |
| Gets the current log callback. More... | |
| void | CBLLog_SetCallback (CBLLogCallback) |
| Sets the callback for receiving log messages. More... | |
Log File Configuration | |
| const CBLLogFileConfiguration * | CBLLog_FileConfig (void) |
| Gets the current file logging configuration, or NULL if none is configured. More... | |
| bool | CBLLog_SetFileConfig (CBLLogFileConfiguration, CBLError *outError) |
| Sets the file logging configuration, and begins logging to files. More... | |
Managing messages that Couchbase Lite logs at runtime.
| typedef void(* CBLLogCallback) (CBLLogDomain domain, CBLLogLevel level, FLString message) |
A logging callback that the application can register.
| domain | The domain of the message; kCBLLogDomainAll if it doesn't fall into a specific domain. |
| level | The severity level of the message. |
| message | The actual formatted message. |
| enum CBLLogDomain : uint8_t |
| enum CBLLogLevel : uint8_t |
Levels of log messages.
Higher values are more important/severe. Each level includes the lower ones.
| void CBL_Log | ( | CBLLogDomain | domain, |
| CBLLogLevel | level, | ||
| const char * | format, | ||
| ... | |||
| ) |
Formats and writes a message to the log, in the given domain at the given level.
printf
-style format string, with extra parameters to match the format placeholders, and has the same security vulnerabilities as other printf
-style functions.If you are logging a fixed string, call CBL_LogMessage instead, otherwise any %
characters in the format
string will be misinterpreted as placeholders and the dreaded Undefined Behavior will result, possibly including crashes or overwriting the stack.
| domain | The log domain to associate this message with. |
| level | The severity of the message. If this is lower than the current minimum level for the domain (as set by CBLLog_SetConsoleLevel), nothing is logged. |
| format | A printf -style format string. % characters in this string introduce parameters, and corresponding arguments must follow. |
| void void CBL_LogMessage | ( | CBLLogDomain | domain, |
| CBLLogLevel | level, | ||
| FLSlice | message | ||
| ) |
Writes a pre-formatted message to the log, exactly as given.
| domain | The log domain to associate this message with. |
| level | The severity of the message. If this is lower than the current minimum level for the domain (as set by CBLLog_SetConsoleLevel), nothing is logged. |
| message | The exact message to write to the log. |
| CBLLogCallback CBLLog_Callback | ( | void | ) |
Gets the current log callback.
| CBLLogLevel CBLLog_CallbackLevel | ( | void | ) |
Gets the current log level for debug console logging.
Only messages at this level or higher will be logged to the callback.
| CBLLogLevel CBLLog_ConsoleLevel | ( | void | ) |
Gets the current log level for debug console logging.
Only messages at this level or higher will be logged to the console.
| const CBLLogFileConfiguration* CBLLog_FileConfig | ( | void | ) |
Gets the current file logging configuration, or NULL if none is configured.
| void CBLLog_SetCallback | ( | CBLLogCallback | ) |
Sets the callback for receiving log messages.
If set to NULL, no messages are logged to the console.
| void CBLLog_SetCallbackLevel | ( | CBLLogLevel | ) |
Sets the detail level of logging.
Only messages whose level is ≥ the given level will be logged to the callback.
| void CBLLog_SetConsoleLevel | ( | CBLLogLevel | ) |
Sets the detail level of logging.
Only messages whose level is ≥ the given level will be logged to the console.
| bool CBLLog_SetFileConfig | ( | CBLLogFileConfiguration | , |
| CBLError * | outError | ||
| ) |
Sets the file logging configuration, and begins logging to files.


home
menu
history
Frank
LogOut
Book-Eat
history
Feb 12
Qty bought
2
Amt spent
$94
Get menu
Order History Details
#
PreparedBy
Meal
Time
Price
Date Ordered
1
chef Mark spoon
bread and akara
Break fast
$15
2019-02-01
2
chef larry gray
egwusi and garri
Dinner
$20
2019-01-31


Think of your favorite programming language. I'm going to try to guess it!
Ready? Click here to begin!


Click on the sentence to have it read out loud! Try to do your best to follow along. Once you have finished reading, you can play your word matching game!
Sentence 1 Point: 0
Sentence 2 Point: 0
Sentence 3 Point: 0
1. In Michif, the word for beaver is “aen kaastor.” At the start of the fur trade, the First Nations did most of the trapping. However, the Métis, who are sometimes considered “children of the fur trade,” became skilled hunters and trappers as well. The Métis began making a living as trappers by the end of the 1700s.
2. The Métis had a special relationship with their horses. Riders performed acrobatic feats on horseback; they held competitions in which they would pick an object up off the ground while riding at full gallop.
3. Métis buffalo hunting began in the late 18th century. Trading companies working on the plains sought out food items that could last their traders on long trips; pemmican can be stored for long periods of time without spoiling, which made it an ideal product.
Art by Janna Speed
Art by Janna Speed
Art by Janna Speed


go install- Compile and install a specific local package:
go install path/to/package- Install the latest version of a program, ignoring `go.mod` in the current directory:
go install golang.org/x/tools/gopls@latest- Install a program at the version selected by `go.mod` in the current directory:
go install golang.org/x/tools/gopls


Cousine was designed by Steve Matteson as an innovative, refreshing sans serif design that is metrically compatible with Courier Newâ„¢. Cousine offers improved on-screen readability characteristics and the pan-European WGL character set and solves the needs of developers looking for width-compatible fonts to address document portability across platforms.
Updated in May 2013 with improved hinting and released under the Apache 2.0 license.


Initializes the current command shell for the use with the
Azure CLI and KubeCtl command line tools.
aks
stands for Azure Kubernetes Services.
aks
– Configures to command line to find Kubernetes tools.
az
– Azure CLI
k
– Shortcut for kubectl
.
kubectl
– Kubernetes kubectl
CLI.
helm
– Helm 3
Azure CLI is a command line interface to manage Microsoft Azure resources. KubeCtl is a command line tool to manage Kubernetes clusters from the command line.
To upgrade the installed version of the Azure CLI and KubeCtl run the following commands
az upgrade
az aks install-cli


University Of Moratuwa
Testing Project Collaboration with Github. Name - J.H.M.M.D Herath. Index Number : 120215H


crypto Module
Description
This module provides access to various encryption and decryption algorithms, and string encodings.
Getting Started
View the Using Titanium Modules document for instructions on getting
started with using this module in your application.
Accessing the crypto Module
To access this module from JavaScript, you would do the following:
var crypto = require("ti.crypto");
The crypto variable is a reference to the Module object.
Methods
createCryptor
Creates a crypto.cryptor object for encrypting and decrypting data. See Cryptor for parameters of this method as well as the methods for performing the actual encryption and decryption operations.
decodeData
Decodes a source buffer into a string using the specified data type. This is a codec method used for converting data from a source buffer into a displayable string.
Arguments
Takes one argument, a dictionary with keys:
- source[buffer]: The Titanium.Buffer to decode
- type[string]: The format of the returned string:
- crypto.TYPE_BASE64STRING - result is a base64 encoded string
- crypto.TYPE_HEXSTRING - result is a hexadecimal formatted string
Return Value
Returns the decoded string
Example
// Set the value of the encrypted text (base64 encoded for readability)
cipherTextField.value = crypto.decodeData({
source: buffer,
type: App.crypto.TYPE_BASE64STRING
});
encodeData
Encodes the source into the destination buffer using the specified data type. This is a codec method used for converting data to a destination buffer.
Arguments
Takes one argument, a dictionary with keys:
- source[object]: The data to encode (see 'type' for supported object types)
- dest[buffer]: The Titanium.Buffer to receive the encoded data
- destPosition[int]: The position in dest to set the encoded data (optional, default is 0)
- type[string]: The data type of the source object:
- crypto.TYPE_BASE64STRING - source is a base64 encoded string
- crypto.TYPE_HEXSTRING - source is a hexadecimal formatted string
- crypto.TYPE_BLOB - source is a Titanium.Blob object
Return Value
Returns the position after the encoded data inside the destination.
Example
// Load the buffer with the base64encoded value from the encrypted text field
var buffer = Ti.createBuffer({ length: cipherTextField.value.length });
var length = crypto.encodeData({
source: cipherTextField.value,
dest: buffer,
type: App.crypto.TYPE_BASE64STRING
});
Constants
Cryptor Status Codes
crypto.STATUS_SUCCESS
crypto.STATUS_ERROR
crypto.STATUS_PARAMERROR
crypto.STATUS_BUFFERTOOSMALL
crypto.STATUS_MEMORYFAILURE
crypto.STATUS_ALIGNMENTERROR
crypto.STATUS_DECODEERROR
crypto.STATUS_UNIMPLEMENTED
Cryptor Operations
crypto.ENCRYPT
crypto.DECRYPT
Cryptor Algorithms
crypto.ALGORITHM_AES128
crypto.ALGORITHM_DES
crypto.ALGORITHM_3DES
crypto.ALGORITHM_CAST
crypto.ALGORITHM_RC4 [iOS Only]
crypto.ALGORITHM_RC2
Cryptor Options
crypto.OPTION_PKCS7PADDING
crypto.OPTION_ECBMODE
Cryptor Key Sizes
crypto.KEYSIZE_AES128
crypto.KEYSIZE_AES192
crypto.KEYSIZE_AES256
crypto.KEYSIZE_DES
crypto.KEYSIZE_3DES
crypto.KEYSIZE_MINCAST
crypto.KEYSIZE_MAXCAST
crypto.KEYSIZE_MINRC4 [iOS Only]
crypto.KEYSIZE_MAXRC4 [iOS Only]
crypto.KEYSIZE_MINRC2
crypto.KEYSIZE_MINRC2
Cryptor Block Sizes
crypto.BLOCKSIZE_AES128
crypto.BLOCKSIZE_DES
crypto.BLOCKSIZE_3DES
crypto.BLOCKSIZE_CAST
crypto.BLOCKSIZE_RC2
Data Types
crypto.TYPE_BLOB - A Titanium.Blob object
crypto.TYPE_HEXSTRING - A hexadecimal formatted string. Each byte is represented by 2 hexadecimal numbers.
crypto.TYPE_BASE64STRING - A Base64 encoded string
Using this module
- Copy the module zip file into the root folder of your Titanium application or in the Titanium system folder (e.g. /Library/Application Support/Titanium).
- Set the
<module>
element in tiapp.xml, such as this:
ti.crypto
Usage
See example.
Author
Dawson Toth
Module History
View the change log for this module.
Feedback and Support
Please direct all questions, feedback, and concerns to<EMAIL_ADDRESS>License
Copyright(c) 2010-2013 by Appcelerator, Inc. All Rights Reserved. Please see the LICENSE file included in the distribution for further details.


---
layout: post
title: Toyota Idents
date: '2015-06-02T19:30:24+02:00'
categories:
- Storyboards
picture_url: https://film-Storyboards.tumblr.com/post/120569251125/one-of-the-Storyboards-drawn-last-month-for-toyota
---
One of the Storyboards drawn last month for TOYOTA ECB idents.
Title: Wicket Lane Depature Warning
Director: Bugsy
Production House: Good Egg


--- author: Andre Charland categories: app date: '2011-02-23 20:02:52' link: http://blogs.nitobi.com/andre/index.php/2011/02/23/brian-lerouxs-interview-about-phonegap-on-ria-radio/ permalink: /2011/02/23/brian-leroux%e2%80%99s-interview-about-phonegap-on-ria-radio/ slug: brian-leroux%e2%80%99s-interview-about-phonegap-on-ria-radio status: publish title: Brian Leroux’s Interview About PhoneGap on RIA Radio type: post format: html ---
Listen to Brian's recent interview on PhoneGap, Nitobi, PhoneGap and the mobile web in general.
Brian LeRoux, spacelord!1!! at Nitobi, joined us to discuss PhoneGap, an open source project to enable mobile application development with web development tools. We also discuss Nitobi itself and the organization that enables the development of a project like PhoneGap.
Here's the mp3.


Favorite Places
Click on the photos to learn more about our
favorite
spots!
Cartagena, Colombia
Mexico City, Mexico
Portland, OR


BNSChannelHandlerName
public enum BNSChannelHandlerName : String, CaseIterable
The names of the handlers added to the ChannelPipeline
-
BackPressureHandler used
Declaration
Swift
case backPressureHandler = "BNSBackPressureHandler"
-
IdleStateHandler used
Declaration
Swift
case idleStateHandler = "BNSIdleStateHandler"
-
NIOCloseOnErrorHandler used
Declaration
Swift
case nioCloseOnErrorHandler = "BNSNIOCloseOnErrorHandler"
-
NIOSSLServerHandler used
Declaration
Swift
case nioSSLServerHandler = "BNSNIOSSLServerHandler"
-
HTTPResponseEncoder used
Declaration
Swift
case httpResponseEncoder = "BNSHTTPResponseEncoder"
-
ByteToMessageHandler used
Declaration
Swift
case byteToMessageHandler = "BNSByteToMessageHandler"
-
BNSHTTP1ConnectionChannelHandler used
Declaration
Swift
case bnsHTTP1ConnectionChannelHandler = "BNSHTTP1ConnectionChannelHandler"
-
HTTP1ConnectionBufferChannelHandler used
Declaration
Swift
case bnsHTTP1ConnectionBufferChannelHandler = "BNSHTTP1ConnectionBufferChannelHandler"
-
HTTPServerPipelineHandler used
Declaration
Swift
case httpServerPipelineHandler = "BNSHTTPServerPipelineHandler"
-
HTTPResponseCompressor used
Declaration
Swift
case httpResponseCompressor = "BNSHTTPResponseCompressor"
-
HTTPServerProtocolErrorHandler used
Declaration
Swift
case httpServerProtocolErrorHandler = "BNSHTTPServerProtocolErrorHandler"
-
HTTPServerUpgradeHandler used
Declaration
Swift
case httpServerUpgradeHandler = "BNSHTTPServerUpgradeHandler"
-
BNSHTTP1StreamChannelHandler used
Declaration
Swift
case bnsHTTP1StreamChannelHandler = "BNSHTTP1StreamChannelHandler"
-
NIOHTTP2Handler used
Declaration
Swift
case nioHTTP2Handler = "BNSNIOHTTP2Handler"
-
BNSHTTP2ConnectionChannelHandler used
Declaration
Swift
case bnsHTTP2ConnectionChannelHandler = "BNSHTTP2ConnectionChannelHandler"
-
BNSHTTP2ConnectionBufferChannelHandler used
Declaration
Swift
case bnsHTTP2ConnectionBufferChannelHandler = "BNSHTTP2ConnectionBufferChannelHandler"
-
HTTP2StreamMultiplexer used
Declaration
Swift
case http2StreamMultiplexer = "BNSHTTP2StreamMultiplexer"
-
HTTP2ToHTTP1ServerCodec used
Declaration
Swift
case http2ToHTTP1ServerCodec = "BNSHTTP2ToHTTP1ServerCodec"
-
BNSHTTP2StreamChannelHandler used
Declaration
Swift
case bnsHTTP2StreamChannelHandler = "BNSHTTP2StreamChannelHandler"
-
BNSHTTP2CreatedStreamChannelHandler used
Declaration
Swift
case bnsHTTP2CreatedStreamChannelHandler = "BNSHTTP2CreatedStreamChannelHandler"
-
BNSWebSocketConnectionChannelHandler used
Declaration
Swift
case bnsWebSocketConnectionChannelHandler = "BNSWebSocketConnectionChannelHandler"
-
BNSWebSocketStreamChannelHandler used
Declaration
Swift
case bnsWebSocketStreamChannelHandler = "BNSWebSocketStreamChannelHandler"
-
BNSWebSocketConnectionBufferChannelHandler used
Declaration
Swift
case bnsWSConnectionBufferChannelHandler = "BNSWebSocketConnectionBufferChannelHandler"


It is best to leave the root account in Ubuntu locked. Rather than perform administrative tasks through the root account, individual users should use the "sudo" command.
The root account can be disabled by typing sudo passwd -l root.
If need be, you can always unlock the account by typing sudo passwd -u root.


- getAsArray() - Method in class com.ppml38.csv.Row
-
Returns the row as String array
- getColumn(int) - Method in class com.ppml38.csv.Csv
-
Returns String array of values in given column in all rows (Not unique)
- getColumn(String) - Method in class com.ppml38.csv.CSVHandler
-
Returns array of all the values in given column name
- getField(int, int) - Method in class com.ppml38.csv.Csv
-
Returns value present in given row and column
- getField(int, String) - Method in class com.ppml38.csv.CSVHandler
-
Function to get value of a field present in given row
- getField(int) - Method in class com.ppml38.csv.Row
-
Get the value of a field present in this row
- getFieldCount() - Method in class com.ppml38.csv.Row
-
Returns the number of columns/fields present
- getFieldNo(String) - Method in class com.ppml38.csv.CSVHandler
-
Function that search and return the column position of given field name,
from map file.
- getMatch(String, String, String) - Method in class com.ppml38.csv.CSVHandler
-
Returns the value in col2 of a row which matches col1 value = val1
- getRow(int) - Method in class com.ppml38.csv.Csv
-
Returns the String array of values of given row index
- getRow(String) - Method in class com.ppml38.csv.Row
-
Returns the row with custom delimiter as String array


Display Name
Username
Save


DESCRIPTION
Neut (4% sodium bicarbonate additive solution) is a sterile, nonpyrogenic solution of sodium bicarbonate in water for injection. It is administered by the intravenous route only after addition as a neutralizing agent to an acidic large volume parenteral solution. Each 5 mL contains sodium bicarbonate 0.2 g (2.4 mEq each of Na+ and HCO3-); edetate disodium, anhydrous 10 mg added as a stabilizer. Total sodium (Na+) content of each 5 mL is 56.1 mg (11.2 mg/mL).
The solutions contain no bacteriostat, antimicrobial agent or added buffer; pH 8.0 (7.0 to 8.5).
Sodium Bicarbonate, USP is chemically designated as NaHCO3, a white crystalline powder soluble in water.
General Surgery Tray - Primary Label
Neut Sodium Bicarbonate
bicarbonate-additive-solution-1-figure-1-jRL-0672.jpg" src="http://dailymed.nlm.nih.gov/dailymed/image.cfm?setid=41735bcb-602f-49a0-b578-18c1bdb33d03&name=neut-4-pct-sodium-bicarbonate-additive-solution-1-figure-1-jRL-0672.jpg">


Author: Ian Bicking<EMAIL_ADDRESS>HTML page
Your HTML page needs just a couple things to set it up for a test:
   <link href="doctestjs/doctest.css" rel="stylesheet">
 test

Notably you need
to get the tests to run automatically on page load. If you were invoking doctest explicitly (like is done on the Try It page) then you might leave this off.
External code
Often you won't want to write your test code inside the test itself. Instead you'll want to put it in its own .js
file. Especially with commenttest
the code is valid Javascript, and you will probably want syntax highlighting and all that.
To do this, use an href
attribtue on your

element, like:

The contents of the element don't matter. The test will be loaded from that location (which could be a full URL but you'll probably have cross-origin errors if you tried that — this doesn't use


Wunderlist gives you the freedom and flexibility to organize your work, your day, and your life all in one intuitive, easy to learn but endlessly flexible platform. From simply scheduling lunch to coordinating complex projects, Wanderlist has you covered as the platform that works for you in all thing to-do.
Whether you're a one person operation or a multinational power player, our mission is the same: to serve our customers and give them the tools to seamlessly allow them to organize and coordinate their own missions without being needlessly bogged down in endless paper trails or email chains. We're here to empower our customers to do what they do best and leave the nitty gritty managerial fluff to us.
Want to learn more? We got you covered.
From our instructional YouTube videos, live demos, and our Support Staff, we've got you covered. Also, be sure to check out our list of Fortune 500 Wunderlisters, organizing their lives for themselves today whilst working for a better tomorrow.


{% set link="local" %} {% set title="Zipcodes" %} {% extends "master.html" %} {% block body %}
This section contains information analyzed per each zipcode. Select a zipcode to gather more information about it.


{% extends 'studeals/layouts/base.html' %} {% block title %}Contact us{% endblock %} {% block scripts %}{% endblock %} {% block main %}
Studeals is a project made for educational purposes as part of the WAD2 coursework. The main function of this web application is to provide a website where students can share and get easy access to local student deals.
Any technical information regarding this project can be found at its GitHub repository.
Go to the GitHub repository


EDA is a course that will equip me with the tools of how to work as a coder rather than learning the actual coding languages.
I think it will be an extremely challenging experience, but also an extremely rewarding experience. I think I will get as much out of the course as I put in.
I enjoy working in teams and with other people therefore I think I will enjoy the pairing aspect of the course. I struggle to ask for help when I am stuck and I have a tendency to spend too long on problems therefore I think I could struggle to keep up with the learning at times. I can also get easily frustrated when I don’t understand something. But I also find when I am around really supportive people who can help keep me on track that I will stay focused.
No, I have read enough articles and watched videos about the course that I had some understanding of what the course was going to entail. I have never thought I would just do the course and float into a job. I understand that is going to be a lot of hard work.
I am excited. I am excited to meet new people and form strong working and personal relationships with these people. I am excited to learn how to work in a reflective and collaborative way also. I am very nervous at the same time, I am nervous I will drop behind or burnout.


{% load djangovoice_widget from djangovoice_tags %}
Want to give feedback for my app? Then check out feedback.


7 scathingly funny cartoons about Trump's very bad impeachment week
by The Week StaffGet the best political cartoons delivered to your inbox with our free daily cartoon newsletter. Sign up here.
Try 4 issues of The Week
for only $8.00
SEE DETAILS
Get the best political cartoons delivered to your inbox with our free daily cartoon newsletter. Sign up here.
Try 4 issues of The Week
for only $8.00
SEE DETAILS


Greetings everyone! 👋 In your travels, have you seen unforgettable views from an airplane window?
The photo here was taken by me when flying from Puerto Montt to Punta Arenas in southern Chile. From the Atacama in the North to the Patagonia in the South, Chile is a fascinating country with so much to offer. 😍 I’ve shared some pictures and experiences from Atacama and Patagonia before, and this is the first time I post a photo of this region. It’s known for its breathtaking volcanoes and lakes. The view from the sky looks quite spectacular right? This is also my entry for the Photo Friday competition by @qurator.
https://cdn.steemitimages.com/DQmdUCEFEMWrjkm1TWqw5DuTvH4bBJKNtcCaoQU3U9SLCjd/PmonttPunAre.JPG
##
A loooooooog long time ago, @jenina619 nominated me to do the Getting To Know Each Other / Another 10 Random Questions Challenge (because apparently last year there’s a “10 Random Questions Challenge” 🙂). I found it’s fun and got to know some Steem friends better after reading their answers. Earlier today I watched the challenge video of @livinguktaiwan, and realized I still haven’t joined it! So here it is:
##
1. What supernatural power would you want to have?
- Be able to fly and to turn objects edible. 🕊🍗
##
2. If you could choose your birth place, where will it be, and why?
- Mars. They say “Men Are from Mars, Women Are from Venus”, so I’d like to try out a different world. 🚀🌌
##
3. If you could go back in time to meet someone from the past, who will it be and why?
- Leonardo da Vinci. He’s a cool combination of scientist and artist. I have to learn some ancient Italian first though. 🔬🎨
##
4. Which childhood memory is your favorite?
- Found lots of money notes rolled in a tin can hidden in a tree hole when playing with my cousin. We bought a hill of snacks with that money. 💴🍨
##
5. What are the three things you notice in the opposite sex first?
- eyes, nose and mouth (if we are sitting)
nosetril, chin and beard (if we are standing)
hair, hands and shoes (the more sensual movielike ostentatious answer)
##
6. If Life was a music, what song will yours be playing ?
- Bobby McFerrin - Don’t Worry Be Happy 🎷💃
https://www.youtube.com/watch?v=d-diB65scQU
##
7. If you were arrested with no explanation, what would your friends and family assume you had done?
- Ate too much in a restaurant and forgot to bring cash/card/Wechat/Alipay with me.
Or some powerful official was offended by my bad joke.
##
8. In one sentence, how would you sum up the whaleshares platform?
- Good marketing if you guys created this challenge. ;)
Seriously, I can’t even find enough time for this platform, not to say a 2nd one. Anyone who tried it out? I’d love to see your answers!
##
9. What’s the funniest Wi-Fi name you’ve seen?
- 123abc
##
10.
- Sleeping in the morning.
And now time to nominate some Steemians to join the challenge! 😃
Some active friends from greater CN community who post also in English:
@joythewanderer @deanliu @catwomanteresa @ace108 @susanlo @htliao @sasaadrian @magicmonk @honoru @ericet @crypto.talk @wilhb81 @elizacheng @davidke20 @kimzwarch @auleo @fruityexplorer…
This photo + music video combination reminds me of the good old @Photogames buddies:
@derekkind @jarvie @sjarvie5 @scottshots @r00sj3 @soyrosa @bil.prag @derangedvisions @fotostef…
 ;) )
Teammates from @utopian-io & @davinci.witness CN translation:
@sunray @aafeng @victory622 @aaronli…
Cool Steemians from everywhere (mainly Travel/Photography/DTube communities it seems… I confess I haven’t been so active like in the beginning, should post and get around much more):
@world-travel-pro @runicar @nomadicsoul @liltammy @phortun @truestories @boxcarblue @rt395 @yo-yo @jrvacation @jpphotography @for91days @mrprofessor @betterthanhome @delishtreats @nathanmars @adetorrent @waybeyondpadthai @daveonarrival @philfreetotravel @chireerocks @melinda010100 @trudeehunter @dswigle @joanstewart @lightcaptured @worldcapture…
The list goes on and on and on… Here are just some (still active) Steemians I could think of right now, anyone I missed feel free to join too! Hope to see your answers ~ let’s get to know each other a bit better! =)
##
Welcome to join my Cross-culture Challenge! The deadline is coming soon~
Thank you for visiting! Please tell me what you think. Exchange makes change!
If you like my content, please support me by commenting / following / upvoting / resteeming.
感谢来访！你的关注/点赞/留言/转发就是对我最好的支持~ 下次见！
##
Here are some of my travel shots. Check out my posts on Steemit World Map, and follow me for more adventures around the globe!
下面是我的一些旅途摄影。欢迎查看我的Steemit世界地图，跟我一起环游世界~！
https://steemitimages.com/DQmWSyM6PcNQJ9LL5UciWHWdZjHvcKQwP63HHMyJzvzvobB/4.jpg
This page is synchronized from the post: ‘#186 Getting To Know Each Other / Another 10 Random Questions Challenge 💭| 10个问题挑战’


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So in theory, until we reform Character's small representation to be inline UTF16, will this pessimize code that iteratively peeks at the first character of a String/Substring? That is, are we speeding up String construction from a single Character at the cost of non-ASCII consumer loops?
I doubt it. Doing just about anything with that character, including comparing it to another character, requires grapheme breaking again if we don't do this.
return
return
}
}
@@ -399,8 +402,7 @@ extension String {
self=String._fromWellFormedCodeUnitSequence(
self=String._fromWellFormedCodeUnitSequence(
UTF8.self, input: smallUTF8)
UTF8.self, input: smallUTF8)
caselet .large(value):
caselet .large(value):
- let buf =String(_StringCore(_StringBuffer(value)))
This change contradicts the comments about what value is, at least.
internal enum Representation {
// A _StringBuffer whose first grapheme cluster is self.
// NOTE: may be more than 1 Character long.
case large(_StringBuffer._Storage)
case small(Builtin.Int63)
}
...which explains why the tests failed. Clearly we can't accept the PR as-is, but it was not meant to be a candidate for merging; just a demonstration of possible speedup. The question is, what are we gaining by putting off finding the end of the first grapheme? I don't know. If there's time for me to land my Character rewrite, we'll find out which is faster eventually anyhow, because it does not delay like this.
The mysterious case of the missing i


Improvement
Nov 1, 2017 14:45 · 153 words · 1 minute read
While I have no improvement on the job posting. I say you can give the people who you want to do this project a little suggestion on what to use. Tell them that there is no wrong way but to be careful, because some of the deployments use different languages and if they are not familiar with the language to research, research, research. There is a webpage about it, a Youtube video. Just because you haven’t done it, doesn’t mean someone hasn’t done it for you already. Also, tell them as they will most likely be using a Windows OS to get themselves Notepad++ it will allow you to edit .md pages and .toml pages so you don’t have to run around all scattered brained. I don’t mean to give them all the answers, just throw a suggestion to them especially about Notepad++. Which I can provide a nifty link right here: https://notepad-plus-plus.org/


Implementation of a basic menu widget that demonstrates using as custom elements against standard Dojo widgets.
@dojo/cli
must be installed globally:
npm install @dojo/cli -g
To use the custom-element-menu
, clone the
examples
repository and install the npm dependencies:
git clone https://github.com/dojo/examples
cd examples/custom-element-menu
npm install
To run the application simply run the dojo build.
npm run build
Open the dist
directory using a local webserver.
This package demonstrates how to use Dojo widgets as a custom element.
Notice src/widgets/createMenuElement.ts
and
src/widgets/createMenuItemElement.ts
describe the custom
elements. To build the custom elements, the
npm run build
command above first runs
dojo build
and then
dojo build --element=src/widgets/createMenuItemElement.ts
dojo build --element=src/widgets/createMenuElement.ts
Those CLI build commands use webpack to create bundles in the
dist
directory for each custom element. To use those custom
elements in your own HTML page, import the custom elements’ HTML files:
<link rel="import" href="./dist/menu/menu.html" />
<link rel="import" href="./dist/menu-item/menu-item.html" />
We appreciate your interest! Please see the Dojo Meta Repository for the Contributing Guidelines and Style Guide.
To start working with this package, clone the repository and run
npm install
.
In order to build the project run dojo build
.
Test cases MUST be written using Intern using the Object test interface and Assert assertion interface.
You can test custom element menu locally using the
@dojo/cli-test-intern
command:
dojo test -a
© 2018 JS Foundation. New BSD license.


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--- layout: post title: Happy Birthday, Ayn Rand! date: '2012-02-02 04:03:39 -0700' mt_id: 1485 blog_id: 1 post_id: 1485 basename: happy-birthday-ayn-rand categories: - objectivism ---
If you're worried about the public perception of Objectivism and its adherents, Randsday is a lot more damaging than Checking Premises. (I linked to Harry Binswanger's site because he's the one that originated the idea, not because I think he is damaging. He's one of the best Objectivists out there.)
Personally, the public be damned. I study Objectivism for my own self. Every day is Randsday as far as I'm concerned.


JHU CS Course Submitter
A simple form for adding/tracking CS department courses.
Course Number:
EN.601.
Also has a grad section?
Grad section: EN.601.
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Description:
Enter description.
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--- layout: post permalink: jewelryignites.html Tags: Array NameOfCoupon: Jewelry Ignites Cash Back Summary: See our Jewelry Ignites Coupon Code, Jewelry Ignites Rebate, Jewelry Ignites Promo Code, Jewelry Ignites Discount, Jewelry Ignites Coupon Cash Back Rebate here. MetaKeywords: Jewelry Ignites Coupon Code, Jewelry Ignites Rebate, Jewelry Ignites Promo Code, Jewelry Ignites Cash Back Rebate, Jewelry Ignites Discount, Jewelry Ignites Coupon Image: images/24372.jpg LinkURL: http://www.shareasale.com/r.cfm?b=195930&u=412002&m=24372 affiliate_url_link: http://www.icouponblog.com/jane.php?id=2212 thesis_readmore: See the Jewelry Ignites Coupon thesis_thumb: http://www.icouponblog.com/tn.php?merchantURL=jewelryignites.com Title: Save 10% - Jewelry Ignites Coupon Code for jewelryignites.com. Jewelry Ignites Rebate & Discount thesis_description: Our Jewelry Ignites Discount Coupon Code for jewelryignites.com. We have the best Jewelry Ignites Rebate anywhere. thesis_keywords: Jewelry Ignites, Jewelry Ignites Coupon Code, Jewelry Ignites Discount, Jewelry Ignites Rebate product_name: Jewelry Ignites hop_url: http://www.icouponblog.com/hop.php?id=2212 ---
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--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/sequence.201.2Fn.20converges.2C.20.22type.20mismatch.22.html ---
Hi, I have the code below:
import data.real.basic namespace learning -- Sequences def seq_conv_to (a : ℕ → ℝ) (l : ℝ) := ∀ ε > 0, ∃ N, ∀ n > N, abs(a n - l) < ε example : seq_conv_to (λ x, 1/x) (0) := begin rw seq_conv_to, intros, simp, existsi ceil(1/ε), sorry end end learning
and I get the error
existsi tactic failed, type mismatch between given term witness and expected type state: ε : ℝ, H : ε > 0 ⊢ ∀ (n : ℕ), ⌈1 / ε⌉ + 1 < n → abs (↑n)⁻¹ < ε
on the line existsi ceil(1/ε)
Home come? ceil gives a natural number, and that's what N should be, right? Where's the type mismatch?
ceil
gives an integer, not a natural. You may want to use nat_ceil
instead.
cheers, that works.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


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XPages View Pager - Advanced edition
XPages does a fe nice things automagically for you. Thinks like giving you the content of a view page by page. While this is impressive on the first view a lot of the potential users would like to see more options in that navigation/paging control. This got me thinking and I drafted how the "Ultimate View Navigator" would look like. After all Bob Obringer designed his classic Domino navigator partly based on my suggestions (Unfortunately Bob's blog is gone). So I doodled around with my favourite screen design tool and here is what I came up with:
I think it covers all the usual bases. A few caveats: It hasn't been designed for categorised views, but will display single category selections well (for my view on categorised views, check my earlier post). It also will not perform nicely when you use reader fields protected documents (and again that topic has been covered before). Did I miss anything in the UI?
I think it covers all the usual bases. A few caveats: It hasn't been designed for categorised views, but will display single category selections well (for my view on categorised views, check my earlier post). It also will not perform nicely when you use reader fields protected documents (and again that topic has been covered before). Did I miss anything in the UI?
Posted by Stephan H Wissel on 10 September 2009 | Comments (10) | categories: XPages


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From the beach to the classroom, classic (and classy) prep for the gentleman every single day.
Preppy Goodness, Delivered (for brevity, PGD) is an ideal world in which inboxes (and wardrobes) are filled with the wonder of good style, refined speech and most importantly, preppy gentlemen of all ages. Men have been plagued with a rumpled, disheveled look for the past two decades. Well dressed men are the exception, not the rule. Let's make that the rule.


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